diff --git a/.env.example b/.env.example index dc61a0ee11d9..ddfc543582d4 100644 --- a/.env.example +++ b/.env.example @@ -38,6 +38,7 @@ CELERY_BROKER_URL=redis://redis:6379/0 CELEBRY_BROKER_QUEUE_NAME=quivr-preview.fifo QUIVR_DOMAIN=http://localhost:3000/ BACKEND_URL=http://localhost:5050 +EMBEDDING_DIM=1536 #COHERE_API_KEY=CHANGE_ME #RESEND diff --git a/.github/workflows/backend-core-tests.yml b/.github/workflows/backend-core-tests.yml index dadbc0148502..9af936a1a72f 100644 --- a/.github/workflows/backend-core-tests.yml +++ b/.github/workflows/backend-core-tests.yml @@ -20,20 +20,18 @@ jobs: - 9998:9998 steps: - - name: Checkout code + - name: 👀 Checkout code uses: actions/checkout@v2 - - name: Set up Python - uses: actions/setup-python@v2 + - name: 🔨 Install the latest version of rye + uses: eifinger/setup-rye@v4 with: - python-version: "3.11" - - - name: Install dependencies + enable-cache: true + working-directory: backend + - name: 🔄 Sync dependencies run: | - cd backend/core - python -m pip install --upgrade pip - pip install poetry - poetry install -E base --with dev,test + cd backend + UV_INDEX_STRATEGY=unsafe-first-match rye sync --no-lock - name: Run tests env: @@ -42,6 +40,5 @@ jobs: run: | sudo apt-get update sudo apt-get install -y libmagic-dev poppler-utils libreoffice tesseract-ocr pandoc - tesseract --version cd backend/core - poetry run tox + rye test diff --git a/.github/workflows/backend-tests.yml b/.github/workflows/backend-tests.yml index d6f1a56e2a9e..f20dc3bd5844 100644 --- a/.github/workflows/backend-tests.yml +++ b/.github/workflows/backend-tests.yml @@ -1,74 +1,65 @@ -# name: Backend Tests +name: Run Tests API and Worker -# on: -# push: -# branches: [main] -# paths: -# - 'backend/**' -# pull_request: -# branches: [main] -# paths: -# - 'backend/**' -# workflow_dispatch: -# inputs: -# logLevel: -# description: 'Log level' -# required: true -# default: 'warning' -# type: choice -# options: -# - info -# - warning -# - debug -# tags: -# description: 'Test scenario tags' -# required: false -# type: boolean -# environment: -# description: 'Environment to run tests against' -# type: environment -# required: false +on: + pull_request: + paths: + - "backend/**" + workflow_dispatch: -# jobs: -# build: -# runs-on: ubuntu-latest -# defaults: -# run: -# working-directory: ./backend -# environment: preview -# strategy: -# matrix: -# python-version: ["3.11"] +jobs: + test: + runs-on: ubuntu-latest -# steps: -# - uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4 -# - name: Set up Python ${{ matrix.python-version }} -# uses: actions/setup-python@65d7f2d534ac1bc67fcd62888c5f4f3d2cb2b236 # v4 -# with: -# python-version: ${{ matrix.python-version }} -# cache: "pip" -# - name: Install system dependencies -# run: sudo apt-get update && sudo apt-get install -y libcurl4-openssl-dev -# - name: Install dependencies -# run: | -# python -m pip install --upgrade pip -# pip install pytest pytest-emoji pytest-md pytest-mock -# pip install pyright -# if [ -f requirements.txt ]; then pip install -r requirements.txt; fi -# - name: Run pytest -# uses: pavelzw/pytest-action@510c5e90c360a185039bea56ce8b3e7e51a16507 # v2 -# with: -# verbose: true -# emoji: true -# job-summary: true -# click-to-expand: false -# report-title: 'Test Report' -# env: -# SUPABASE_URL: ${{secrets.SUPABASE_URL}} -# SUPABASE_SERVICE_KEY: ${{secrets.SUPABASE_SERVICE_KEY}} -# OPENAI_API_KEY: ${{secrets.OPENAI_API_KEY}} -# ANTHROPIC_API_KEY: ${{secrets.ANTHROPIC_API_KEY}} -# JWT_SECRET_KEY: ${{secrets.JWT_SECRET_KEY}} -# CI_TEST_API_KEY: ${{secrets.CI_TEST_API_KEY}} -# CELERY_BROKER_URL: ${{secrets.CELERY_BROKER_URL}} + steps: + - name: 👀 Checkout code + uses: actions/checkout@v2 + - name: 🔨 Install the latest version of rye + uses: eifinger/setup-rye@v4 + with: + enable-cache: true + working-directory: backend + + - name: 🔄 Sync dependencies + run: | + cd backend + UV_INDEX_STRATEGY=unsafe-first-match rye sync --no-lock + + - name: 🚤 Install Supabase CLI + run: | + ARCHITECTURE=$(uname -m) + if [ "$ARCHITECTURE" = "x86_64" ]; then + wget https://github.com/supabase/cli/releases/download/v1.163.6/supabase_1.163.6_linux_amd64.deb + sudo dpkg -i supabase_1.163.6_linux_amd64.deb + elif [ "$ARCHITECTURE" = "aarch64" ]; then + wget https://github.com/supabase/cli/releases/download/v1.163.6/supabase_1.163.6_linux_arm64.deb + sudo dpkg -i supabase_1.163.6_linux_arm64.deb + fi + + - name: 😭 Install system dependencies + run: | + sudo apt-get update + sudo apt-get install -y libmagic-dev poppler-utils libreoffice tesseract-ocr pandoc + + - name: Install dependencies and run tests + env: + OPENAI_API_KEY: this-is-a-fake-openai-api-key + SUPABASE_URL: http://localhost:54321 + SUPABASE_SERVICE_KEY: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZS1kZW1vIiwicm9sZSI6InNlcnZpY2Vfcm9sZSIsImV4cCI6MTk4MzgxMjk5Nn0.EGIM96RAZx35lJzdJsyH-qQwv8Hdp7fsn3W0YpN81IU + PG_DATABASE_URL: postgresql://postgres:postgres@localhost:54322/postgres + PG_DATABASE_ASYNC_URL: postgresql+asyncpg://postgres:postgres@localhost:54322/postgres + ANTHROPIC_API_KEY: null + JWT_SECRET_KEY: super-secret-jwt-token-with-at-least-32-characters-long + AUTHENTICATE: true + TELEMETRY_ENABLED: true + CELERY_BROKER_URL: redis://redis:6379/0 + CELEBRY_BROKER_QUEUE_NAME: quivr-preview.fifo + QUIVR_DOMAIN: http://localhost:3000/ + BACKEND_URL: http://localhost:5050 + EMBEDDING_DIM: 1536 + run: | + cd backend + supabase db start + rye run python -c "from unstructured.nlp.tokenize import download_nltk_packages; download_nltk_packages()" + rye run python -c "import nltk;nltk.download('punkt_tab'); nltk.download('averaged_perceptron_tagger_eng')" + rye test -p quivr-api -p quivr-worker diff --git a/.gitignore b/.gitignore index 6e7c813e8136..112174048fc9 100644 --- a/.gitignore +++ b/.gitignore @@ -1,6 +1,7 @@ docker-compose.override.yml secondbrain/ .env +env.sh .streamlit/secrets.toml **/*.pyc toto.txt @@ -18,6 +19,8 @@ backend/.python-version **/.pnp .pnp.js +Pipfile + # testing **/coverage @@ -59,7 +62,7 @@ backend/core/local_models/* ## scripts package-lock.json -backend/celerybeat-schedule +celerybeat-schedule frontend/public/robots.txt frontend/public/sitemap* @@ -98,3 +101,4 @@ backend/core/examples/chatbot/.chainlit/translations/en-US.json # Tox .tox +Pipfile diff --git a/.run_tests.sh b/.run_tests.sh new file mode 100755 index 000000000000..45874ff844cd --- /dev/null +++ b/.run_tests.sh @@ -0,0 +1,105 @@ +#!/bin/bash +set -e + +## TESTS SUITES +test_suites=( + "Backend Core:cd backend/core && tox -p auto" + "Worker:cd backend && pytest worker" + "API:cd backend && pytest api" + ) + +# Check if gum is installed +if ! command -v gum &>/dev/null; then + echo "gum is not installed. Please install it with 'brew install gum'." + exit 1 +fi + +root_dir=$(pwd) + +# Function to check if Tika server is running +check_tika_server() { + if nc -z localhost 9998 >/dev/null 2>&1; then + return 0 + else + gum style --foreground 196 "Error: Tika server is not running on port 9998." + gum style --foreground 226 "Please start the Tika server before running the tests." + gum style --foreground 226 "Run 'docker run -d -p 9998:9998 apache/tika' to start the Tika server." + return 1 + fi +} + +# select test suites to run, either all or one of the following +get_test_suites_to_run() { + gum style --bold "Select test suites to run:" + options=("All" "${test_suites[@]%%:*}") + selected=$(gum choose "${options[@]}") + if [[ "$selected" == "All" ]]; then + gum style --bold "Running all test suites" + else + # Find the matching test suite + for suite in "${test_suites[@]}"; do + if [[ "${suite%%:*}" == "$selected" ]]; then + test_suites=("$suite") + break + fi + done + fi +} + +# Function to run a single test suite +run_test_suite() { + local suite_name=$1 + local command=$2 + local exit_code + + gum style --border normal --border-foreground 99 --padding "1 2" --bold "$suite_name Tests" + eval "$command" + exit_code=$? + cd "$root_dir" + + if [ $exit_code -eq 0 ]; then + gum style --foreground 46 "$suite_name Tests: PASSED" + else + gum style --foreground 196 "$suite_name Tests: FAILED" + fi + + return $exit_code +} + +run_tests() { + get_test_suites_to_run + # gum spin --spinner dot --title "Running tests..." -- sleep 1 + + local all_passed=true + local results=() + + for suite in "${test_suites[@]}"; do + IFS=':' read -r suite_name suite_command <<< "$suite" + if ! run_test_suite "$suite_name" "$suite_command"; then + all_passed=false + fi + results+=("$suite_name:$?") + done + + # Print summary of test results + gum style --border double --border-foreground 99 --padding "1 2" --bold "Test Summary" + for result in "${results[@]}"; do + IFS=':' read -r suite_name exit_code <<< "$result" + if [ "$exit_code" -eq 0 ]; then + gum style --foreground 46 "✓ $suite_name: PASSED" + else + gum style --foreground 196 "✗ $suite_name: FAILED" + fi + done + + # Return overall exit code + $all_passed +} + +# Main execution +if check_tika_server; then + run_tests + exit $? +else + exit 1 +fi diff --git a/Makefile b/Makefile index 432a5081cfa3..af29034c3c98 100644 --- a/Makefile +++ b/Makefile @@ -1,38 +1,34 @@ -test: - pytest backend/ - -dev-build: - DOCKER_BUILDKIT=1 docker compose -f docker-compose.dev.yml build backend-core - DOCKER_BUILDKIT=1 docker compose -f docker-compose.dev.yml up --build - -dev: - DOCKER_BUILDKIT=1 docker compose -f docker-compose.dev.yml up +.DEFAULT_TARGET=help +## help: Display list of commands +.PHONY: help +help: + @echo "Available commands:" + @sed -n 's|^##||p' $(MAKEFILE_LIST) | column -t -s ':' | sed -e 's|^| |' -dev-saas: - docker compose -f docker-compose-dev-saas-supabase.yml build backend-core - docker compose -f docker-compose-dev-saas-supabase.yml up --build -dev-saas-back: - docker compose -f docker-compose-dev-only-back-saas-supabase.yml build backend-core - docker compose -f docker-compose-dev-only-back-saas-supabase.yml up --build backend-core +## dev: Start development environment +.PHONY: dev +dev: + DOCKER_BUILDKIT=1 docker compose -f docker-compose.dev.yml up --build -dev-stan: - docker compose -f docker-compose-no-frontend.dev.yml up --build +dev-build: + DOCKER_BUILDKIT=1 docker compose -f docker-compose.dev.yml build --no-cache + DOCKER_BUILDKIT=1 docker compose -f docker-compose.dev.yml up +## prod: Build and start production environment +.PHONY: prod prod: - docker compose build backend-core docker compose -f docker-compose.yml up --build -test-type: - @if command -v python3 &>/dev/null; then \ - python3 -m pyright; \ - else \ - python -m pyright; \ - fi - +## front: Build and start frontend +.PHONY: front front: - cd frontend && yarn build && yarn start + cd frontend && yarn && yarn build && yarn start +## test: Run tests +.PHONY: test test: - cd backend/core && ./scripts/run_tests.sh \ No newline at end of file + # Ensure dependencies are installed with dev and test extras + # poetry install --with dev,test && brew install tesseract pandoc libmagic + ./.run_tests.sh diff --git a/Pipfile b/Pipfile new file mode 100644 index 000000000000..0757494bb360 --- /dev/null +++ b/Pipfile @@ -0,0 +1,11 @@ +[[source]] +url = "https://pypi.org/simple" +verify_ssl = true +name = "pypi" + +[packages] + +[dev-packages] + +[requires] +python_version = "3.11" diff --git a/backend/.dockerignore b/backend/.dockerignore index 97637d42f4d0..c6f0e18163a3 100644 --- a/backend/.dockerignore +++ b/backend/.dockerignore @@ -10,3 +10,5 @@ **/.docusaurus/ **/node_modules/ **/.venv/ +**/.tox/ +**/.tox-docker/ diff --git a/backend/.gitignore b/backend/.gitignore new file mode 100644 index 000000000000..ae8554dec420 --- /dev/null +++ b/backend/.gitignore @@ -0,0 +1,10 @@ +# python generated files +__pycache__/ +*.py[oc] +build/ +dist/ +wheels/ +*.egg-info + +# venv +.venv diff --git a/backend/Dockerfile b/backend/Dockerfile index 366f50eb2cb4..1e512e64b5c2 100644 --- a/backend/Dockerfile +++ b/backend/Dockerfile @@ -1,11 +1,9 @@ -# Using a slim version for a smaller base image FROM python:3.11.6-slim-bullseye -ARG DEV_MODE -ENV DEV_MODE=$DEV_MODE +WORKDIR /app -# Install GEOS library, Rust, and other dependencies, then clean up -RUN apt-get clean && apt-get update && apt-get install -y \ +# Install runtime dependencies +RUN apt-get update && apt-get install -y \ libgeos-dev \ libcurl4-openssl-dev \ libssl-dev \ @@ -15,23 +13,14 @@ RUN apt-get clean && apt-get update && apt-get install -y \ git \ poppler-utils \ tesseract-ocr \ - autoconf \ - automake \ - build-essential \ - libtool \ - python-dev \ - wget \ - # Additional dependencies for document handling libmagic-dev \ - poppler-utils \ - tesseract-ocr \ libreoffice \ libpq-dev \ gcc \ - pandoc && \ - rm -rf /var/lib/apt/lists/* - + wget \ + && rm -rf /var/lib/apt/lists/* +# Install Supabase CLI RUN ARCHITECTURE=$(uname -m) && \ if [ "$ARCHITECTURE" = "x86_64" ]; then \ wget https://github.com/supabase/cli/releases/download/v1.163.6/supabase_1.163.6_linux_amd64.deb && \ @@ -41,43 +30,17 @@ RUN ARCHITECTURE=$(uname -m) && \ wget https://github.com/supabase/cli/releases/download/v1.163.6/supabase_1.163.6_linux_arm64.deb && \ dpkg -i supabase_1.163.6_linux_arm64.deb && \ rm supabase_1.163.6_linux_arm64.deb; \ - fi && \ - rm -rf /var/lib/apt/lists/* - -RUN curl -sSL https://install.python-poetry.org | POETRY_HOME=/opt/poetry python && \ - cd /usr/local/bin && \ - ln -s /opt/poetry/bin/poetry && \ - poetry config virtualenvs.create false - - -# Add Rust binaries to the PATH -ENV PATH="/root/.cargo/bin:${PATH}" \ - POETRY_CACHE_DIR=/tmp/poetry_cache \ - PYTHONDONTWRITEBYTECODE=1 - -WORKDIR /code - -# Copy monorepo dependencies -# CORE -COPY core/pyproject.toml core/README.md core/poetry.lock /code/core/ -COPY core/quivr_core /code/core/quivr_core -# API -COPY api/pyproject.toml api/poetry.lock api/README.md /code/api/ -COPY api/quivr_api /code/api/quivr_api - -COPY ./pyproject.toml ./poetry.lock* /code/ - -COPY ./ci-migration.sh /code/ + fi -COPY supabase /code/supabase/ +COPY . . -# Run install -RUN poetry install --no-root --with dev,test && \ - playwright install --with-deps && \ - rm -rf $POETRY_CACHE_DIR +RUN PYTHONDONTWRITEBYTECODE=1 pip install --no-cache-dir -r requirements.lock +RUN playwright install --with-deps && \ + python -c "from unstructured.nlp.tokenize import download_nltk_packages; download_nltk_packages()" && \ + python -c "import nltk;nltk.download('punkt_tab'); nltk.download('averaged_perceptron_tagger_eng')" -ENV PYTHONPATH=/code +ENV PYTHONPATH=/app EXPOSE 5050 diff --git a/backend/Dockerfile.dev b/backend/Dockerfile.dev index c42be1b80e26..60e076295f7b 100644 --- a/backend/Dockerfile.dev +++ b/backend/Dockerfile.dev @@ -1,9 +1,7 @@ # Using a slim version for a smaller base image FROM python:3.11.6-slim-bullseye -ARG DEV_MODE -ENV DEV_MODE=$DEV_MODE - +WORKDIR /app # Install GEOS library, Rust, and other dependencies, then clean up RUN apt-get clean && apt-get update && apt-get install -y \ libgeos-dev \ @@ -28,35 +26,20 @@ RUN apt-get clean && apt-get update && apt-get install -y \ pandoc && \ rm -rf /var/lib/apt/lists/* && apt-get clean -# TODO(@aminediro) : multistage build. Probably dont neet poetry once its built -# Install Poetry -RUN curl -sSL https://install.python-poetry.org | POETRY_HOME=/opt/poetry python && \ - cd /usr/local/bin && \ - ln -s /opt/poetry/bin/poetry && \ - poetry config virtualenvs.create false - -# Add Rust binaries to the PATH -ENV PATH="/root/.cargo/bin:${PATH}" \ - POETRY_CACHE_DIR=/tmp/poetry_cache \ - PYTHONDONTWRITEBYTECODE=1 - -WORKDIR /code - -# Copy monorepo dependencies -# CORE -COPY core/pyproject.toml core/README.md core/poetry.lock /code/core/ -COPY core/quivr_core /code/core/quivr_core -# API -COPY api/pyproject.toml api/poetry.lock api/README.md /code/api/ -COPY api/quivr_api /code/api/quivr_api -COPY ./pyproject.toml ./poetry.lock* /code/ +COPY requirements.lock pyproject.toml README.md ./ +COPY api/pyproject.toml api/README.md ./api/ +COPY api/quivr_api/__init__.py ./api/quivr_api/__init__.py +COPY core/pyproject.toml core/README.md ./core/ +COPY core/quivr_core/__init__.py ./core/quivr_core/__init__.py +COPY worker/pyproject.toml worker/README.md ./worker/ +COPY worker/quivr_worker/__init__.py ./worker/quivr_worker/__init__.py -# Run install -RUN poetry install --no-root --with dev,test && \ - playwright install --with-deps && \ - rm -rf $POETRY_CACHE_DIR +RUN PYTHONDONTWRITEBYTECODE=1 pip install --no-cache-dir -r requirements.lock +RUN playwright install --with-deps && \ + python -c "from unstructured.nlp.tokenize import download_nltk_packages; download_nltk_packages()" && \ + python -c "import nltk;nltk.download('punkt_tab'); nltk.download('averaged_perceptron_tagger_eng')" -ENV PYTHONPATH=/code +COPY . . EXPOSE 5050 diff --git a/backend/README.md b/backend/README.md new file mode 100644 index 000000000000..ce78d8411c4b --- /dev/null +++ b/backend/README.md @@ -0,0 +1,3 @@ +# backend + +Describe your project here. diff --git a/backend/api/.gitignore b/backend/api/.gitignore new file mode 100644 index 000000000000..ae8554dec420 --- /dev/null +++ b/backend/api/.gitignore @@ -0,0 +1,10 @@ +# python generated files +__pycache__/ +*.py[oc] +build/ +dist/ +wheels/ +*.egg-info + +# venv +.venv diff --git a/backend/api/.python-version b/backend/api/.python-version new file mode 100644 index 000000000000..2419ad5b0a32 --- /dev/null +++ b/backend/api/.python-version @@ -0,0 +1 @@ +3.11.9 diff --git a/backend/api/Dockerfile b/backend/api/Dockerfile new file mode 100644 index 000000000000..a68079df263e --- /dev/null +++ b/backend/api/Dockerfile @@ -0,0 +1,42 @@ +# Using a slim version for a smaller base image +FROM python:3.11.6-slim-bullseye + +ARG DEV_MODE +ENV DEV_MODE=$DEV_MODE + +RUN apt-get clean && apt-get update && apt-get install -y wget curl + +RUN ARCHITECTURE=$(uname -m) && \ + if [ "$ARCHITECTURE" = "x86_64" ]; then \ + wget https://github.com/supabase/cli/releases/download/v1.163.6/supabase_1.163.6_linux_amd64.deb && \ + dpkg -i supabase_1.163.6_linux_amd64.deb && \ + rm supabase_1.163.6_linux_amd64.deb; \ + elif [ "$ARCHITECTURE" = "aarch64" ]; then \ + wget https://github.com/supabase/cli/releases/download/v1.163.6/supabase_1.163.6_linux_arm64.deb && \ + dpkg -i supabase_1.163.6_linux_arm64.deb && \ + rm supabase_1.163.6_linux_arm64.deb; \ + fi && \ + rm -rf /var/lib/apt/lists/* + +# TODO(@aminediro) : multistage build. Probably dont neet poetry once its built +# Install Poetry +RUN curl -sSL https://install.python-poetry.org | POETRY_HOME=/opt/poetry python && \ + cd /usr/local/bin && \ + ln -s /opt/poetry/bin/poetry && \ + poetry config virtualenvs.create false && \ + poetry config virtualenvs.in-project false + +# Add Rust binaries to the PATH +ENV PATH="/root/.cargo/bin:${PATH}" \ + POETRY_CACHE_DIR=/tmp/poetry_cache \ + PYTHONDONTWRITEBYTECODE=1 \ + POETRY_VIRTUALENVS_PATH=/code/api/.venv-docker + +WORKDIR /code/api +COPY . /code/ + +RUN poetry install && rm -rf $POETRY_CACHE_DIR + +ENV PYTHONPATH=/code/api + +EXPOSE 5050 diff --git a/backend/api/Dockerfile.dev b/backend/api/Dockerfile.dev new file mode 100644 index 000000000000..5495e8a1f4d5 --- /dev/null +++ b/backend/api/Dockerfile.dev @@ -0,0 +1,45 @@ +# Using a slim version for a smaller base image +FROM python:3.11.6-slim-bullseye + +ARG DEV_MODE +ENV DEV_MODE=$DEV_MODE + +RUN apt-get clean && apt-get update && apt-get install -y wget curl + +RUN ARCHITECTURE=$(uname -m) && \ + if [ "$ARCHITECTURE" = "x86_64" ]; then \ + wget https://github.com/supabase/cli/releases/download/v1.163.6/supabase_1.163.6_linux_amd64.deb && \ + dpkg -i supabase_1.163.6_linux_amd64.deb && \ + rm supabase_1.163.6_linux_amd64.deb; \ + elif [ "$ARCHITECTURE" = "aarch64" ]; then \ + wget https://github.com/supabase/cli/releases/download/v1.163.6/supabase_1.163.6_linux_arm64.deb && \ + dpkg -i supabase_1.163.6_linux_arm64.deb && \ + rm supabase_1.163.6_linux_arm64.deb; \ + fi && \ + rm -rf /var/lib/apt/lists/* + +# TODO(@aminediro) : multistage build. Probably dont neet poetry once its built +# Install Poetry +RUN curl -sSL https://install.python-poetry.org | POETRY_HOME=/opt/poetry python && \ + cd /usr/local/bin && \ + ln -s /opt/poetry/bin/poetry && \ + poetry config virtualenvs.create false && \ + poetry config virtualenvs.in-project false + +# Add Rust binaries to the PATH +ENV PATH="/root/.cargo/bin:${PATH}" \ + POETRY_CACHE_DIR=/tmp/poetry_cache \ + PYTHONDONTWRITEBYTECODE=1 \ + POETRY_VIRTUALENVS_PATH=/code/api/.venv-docker + +WORKDIR /code/api +COPY api/pyproject.toml api/poetry.lock api/README.md /code/api/ +COPY api/quivr_api /code/api/quivr_api + +# Run install +# Run install +RUN poetry install --no-directory --no-root --with dev && rm -rf $POETRY_CACHE_DIR + +ENV PYTHONPATH=/code/api + +EXPOSE 5050 diff --git a/backend/api/README.md b/backend/api/README.md index 91c0d1fc4554..35110b517288 100644 --- a/backend/api/README.md +++ b/backend/api/README.md @@ -1 +1 @@ -# Quivr backend +# quivr-api 0.1 diff --git a/backend/api/celerybeat-schedule b/backend/api/celerybeat-schedule deleted file mode 100644 index 2fe4e28ae02d..000000000000 Binary files a/backend/api/celerybeat-schedule and /dev/null differ diff --git a/backend/api/poetry.lock b/backend/api/poetry.lock deleted file mode 100644 index 649969dfc1e9..000000000000 --- a/backend/api/poetry.lock +++ /dev/null @@ -1,9352 +0,0 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. - 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-[package.dependencies] -idna = ">=2.0" -multidict = ">=4.0" - -[[package]] -name = "zipp" -version = "3.19.2" -description = "Backport of pathlib-compatible object wrapper for zip files" -optional = false -python-versions = ">=3.8" -files = [ - {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"}, - {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"}, -] - -[package.extras] -doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] -test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] - -[metadata] -lock-version = "2.0" -python-versions = "^3.11" -content-hash = "50c0a5188a1534fc507b303c26d06223d2277fee0cafde886585f76db24d7c36" diff --git a/backend/api/pyproject.toml b/backend/api/pyproject.toml index 23062260beb3..44b2d13517bd 100644 --- a/backend/api/pyproject.toml +++ b/backend/api/pyproject.toml @@ -1,148 +1,66 @@ -[build-system] -requires = ["poetry-core"] -build-backend = "poetry.core.masonry.api" - -[tool.poetry] +[project] name = "quivr-api" version = "0.1.0" description = "quivr backend API" -packages = [{ include = "quivr_api" }] -authors = ["aminediro "] -readme = "README.md" - - -[tool.poetry.dependencies] -quivr-core = { path = "../core", extras = ["base"] } -python = "^3.11" -torch = [ - { version = "2.3.1", source = "pypi", platform = "darwin" }, - { version = "2.3.1", source = "pypi", platform = "linux", markers = "platform_machine != 'x86_64'" }, - { version = "2.3.1+cpu", source = "pytorch-cpu-src", platform = "linux", markers = "platform_machine == 'x86_64'" }, - { version = "2.3.1+cpu", source = "pytorch-cpu-src", platform = "win32" }, -] -torchvision = [ - { version = "0.18.1", source = "pypi", platform = "darwin" }, - { version = "0.18.1", source = "pypi", platform = "linux", markers = "platform_machine != 'x86_64'" }, - { version = "0.18.1+cpu", source = "pytorch-cpu-src", platform = "linux", markers = "platform_machine == 'x86_64'" }, - { version = "0.18.1+cpu", source = "pytorch-cpu-src", platform = "win32" }, +authors = [{ name = "Stan Girard", email = "stan@quivr.app" }] +dependencies = [ + "quivr-core", + "supabase>=2.0.0", + "fastapi>=0.100.0", + "uvloop>=0.18.0", + "python-jose>=3.0.0", + "python-multipart>=0.0.9", + "uvicorn>=0.30.6", + "redis>=5.0.0", + "asyncpg>=0.29.0", + "psycopg2-binary>=2.9.9", + "sqlmodel>=0.0.21", + "celery[redis]>=5.4.0", + "pydantic-settings>=2.4.0", + "python-dotenv>=1.0.1", + "unidecode>=1.3.8", + "fpdf>=1.7.2", + "colorlog>=6.8.2", + "posthog>=3.5.0", + "pyinstrument>=4.7.2", + "sentry-sdk[fastapi]>=2.13.0", + "google-api-python-client>=2.141.0", + "google-auth-httplib2>=0.2.0", + "google-auth-oauthlib>=1.2.1", + "dropbox>=12.0.2", + "msal>=1.30.0", + "notion-client>=2.2.1", + "markdownify>=0.13.1", + "langchain-openai>=0.1.21", + "resend>=2.4.0", + "langchain>=0.2.14", + "litellm>=1.43.15", + "openai>=1.40.8", + "tiktoken>=0.7.0", + "langchain-community>=0.2.12", + "langchain-cohere>=0.2.2", + "llama-parse>=0.4.9", + "pgvector>=0.3.2", ] -langchain = "*" -litellm = "*" -openai = "*" -gitpython = "*" -pdf2image = "*" -nest-asyncio = "*" -pypdf = "*" -supabase = "*" -tiktoken = "*" -fastapi = "*" -python-multipart = "*" -uvicorn = "*" -pypandoc = "*" -docx2txt = "*" -python-jose = "*" -asyncpg = "*" -pyright = "*" -resend = "*" -html5lib = "*" -beautifulsoup4 = "*" -newspaper3k = "*" -xlrd = "*" -redis = "*" -flower = "*" -boto3 = "*" -botocore = "*" -python-dotenv = "*" -pytesseract = "*" -async-generator = "*" -posthog = "*" -jq = "*" -pytest = "*" -watchdog = "*" -langchain-community = "*" -langchain-openai = "*" -pydantic-settings = "*" -langfuse = "*" -pandasai = "*" -colorlog = "*" -psycopg2-binary = "*" -celery = { extras = ["redis", "sqs"], version = "*" } -unstructured = { extras = ["all-docs"], version = "*" } -llama-parse = "*" -llama-index = "*" -lxml = { extras = ["html_clean"], version = "*" } -ragas = "*" -datasets = "*" -fpdf2 = "*" -unidecode = "*" -langchain-cohere = "*" -pyinstrument = "*" -playwright = "*" -langgraph = "*" -tavily-python = "*" -duckduckgo-search = "*" -google-api-python-client = "*" -google-auth-httplib2 = "*" -google-auth-oauthlib = "*" -msal = "*" -sentry-sdk = { version = "^2.5.0", extras = ["fastapi"] } -sqlmodel = "^0.0.19" -megaparse = "0.0.19" - - -[tool.poetry.group.dev.dependencies] -mypy = "^1.10.0" -pre-commit = "^3.7.1" -ipykernel = "*" -ruff = "^0.4.8" -pytest-asyncio = "^0.23.7" -flake8 = "*" -flake8-black = "*" -pytest = "*" -pytest-dotenv = "*" -pytest-mock = "*" -pytest-celery = "*" +readme = "README.md" +requires-python = "< 3.12" -[[tool.poetry.source]] -name = "pytorch-cpu-src" -url = "https://download.pytorch.org/whl/cpu" -priority = "explicit" +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" -[tool.ruff] -line-length = 88 -exclude = [".git", "__pycache__", ".mypy_cache", ".pytest_cache"] +[tool.rye] +managed = true +dev-dependencies = [] +universal = true -[tool.ruff.lint] -select = [ - "E", # pycodestyle errors - "W", # pycodestyle warnings - "F", # pyflakes - "I", # isort - "C", # flake8-comprehensions - "B", # flake8-bugbear -] -ignore = [ - "B904", - "B006", - "E501", # line too long, handled by black - "B008", # do not perform function calls in argument defaults - "C901", # too complex -] +[tool.hatch.metadata] +allow-direct-references = true +[tool.hatch.build.targets.wheel] +packages = ["quivr_api"] -[tool.ruff.lint.isort] -order-by-type = true -relative-imports-order = "closest-to-furthest" -extra-standard-library = ["typing"] -section-order = [ - "future", - "standard-library", - "third-party", - "first-party", - "local-folder", -] -known-first-party = [] -[tool.pytest.ini_options] -addopts = "--tb=short -ra -v" -filterwarnings = ["ignore::DeprecationWarning"] +[[tool.rye.sources]] +name = "quivr-core" +path = "../quivr-core" diff --git a/backend/api/quivr_api/__init__.py b/backend/api/quivr_api/__init__.py index e69de29bb2d1..58b4efe4ec6b 100644 --- a/backend/api/quivr_api/__init__.py +++ b/backend/api/quivr_api/__init__.py @@ -0,0 +1,5 @@ +from .modules.chat.entity.chat import Chat, ChatHistory +from .modules.sync.entity.sync_models import NotionSyncFile +from .modules.user.entity.user_identity import User + +__all__ = ["Chat", "ChatHistory", "User", "NotionSyncFile"] diff --git a/backend/api/quivr_api/celery_config.py b/backend/api/quivr_api/celery_config.py index b984c182e6e7..b39b14bb71ff 100644 --- a/backend/api/quivr_api/celery_config.py +++ b/backend/api/quivr_api/celery_config.py @@ -11,24 +11,7 @@ celery = Celery(__name__) -if CELERY_BROKER_URL.startswith("sqs"): - broker_transport_options = { - CELERY_BROKER_QUEUE_NAME: { - "my-q": { - "url": CELERY_BROKER_URL, - } - } - } - celery = Celery( - __name__, - broker=CELERY_BROKER_URL, - task_serializer="json", - task_concurrency=4, - worker_prefetch_multiplier=1, - broker_transport_options=broker_transport_options, - ) - celery.conf.task_default_queue = CELERY_BROKER_QUEUE_NAME -elif CELERY_BROKER_URL.startswith("redis"): +if CELERY_BROKER_URL.startswith("redis"): celery = Celery( __name__, broker=f"{CELERY_BROKER_URL}", @@ -42,4 +25,4 @@ else: raise ValueError(f"Unsupported broker URL: {CELERY_BROKER_URL}") -celery.autodiscover_tasks(["quivr_api.modules.sync.tasks"]) +celery.autodiscover_tasks(["quivr_api.modules.chat"]) diff --git a/backend/api/quivr_api/celery_monitor.py b/backend/api/quivr_api/celery_monitor.py deleted file mode 100644 index a860ff306a14..000000000000 --- a/backend/api/quivr_api/celery_monitor.py +++ /dev/null @@ -1,95 +0,0 @@ -from celery.result import AsyncResult -from quivr_api.celery_config import celery -from quivr_api.logger import get_logger -from quivr_api.modules.knowledge.dto.inputs import KnowledgeStatus -from quivr_api.modules.knowledge.service.knowledge_service import KnowledgeService -from quivr_api.modules.notification.dto.inputs import NotificationUpdatableProperties -from quivr_api.modules.notification.entity.notification import NotificationsStatusEnum -from quivr_api.modules.notification.service.notification_service import ( - NotificationService, -) - -logger = get_logger("notifier_service", "notifier_service.log") -notification_service = NotificationService() -knowledge_service = KnowledgeService() - - -def notifier(app): - state = app.events.State() - - def handle_task_event(event): - try: - state.event(event) - task = state.tasks.get(event["uuid"]) - task_result = AsyncResult(task.id, app=app) - task_name, task_kwargs = task_result.name, task_result.kwargs - - if ( - task_name == "process_file_and_notify" - or task_name == "process_crawl_and_notify" - ): - notification_id = task_kwargs["notification_id"] - knowledge_id = task_kwargs.get("knowledge_id", None) - if event["type"] == "task-failed": - logger.error( - f"task {task.id} process_file_and_notify {task_kwargs} failed. Sending notifition {notification_id}" - ) - notification_service.update_notification_by_id( - notification_id, - NotificationUpdatableProperties( - status=NotificationsStatusEnum.ERROR, - description=( - f"An error occurred while processing the file" - if task_name == "process_file_and_notify" - else f"An error occurred while processing the URL" - ), - ), - ) - if knowledge_id: - knowledge_service.update_status_knowledge( - knowledge_id, KnowledgeStatus.ERROR - ) - logger.error( - f"task {task.id} process_file_and_notify {task_kwargs} failed. Updating knowledge {knowledge_id} to Error" - ) - - if event["type"] == "task-succeeded": - logger.info( - f"task {task.id} process_file_and_notify {task_kwargs} succeeded. Sending notification {notification_id}" - ) - notification_service.update_notification_by_id( - notification_id, - NotificationUpdatableProperties( - status=NotificationsStatusEnum.SUCCESS, - description=( - "Your file has been properly uploaded!" - if task_name == "process_file_and_notify" - else "Your URL has been properly crawled!" - ), - ), - ) - # TODO(@aminediro): implement retry if failure - if knowledge_id: - knowledge_service.update_status_knowledge( - knowledge_id, KnowledgeStatus.UPLOADED - ) - logger.info( - f"task {task.id} process_file_and_notify {task_kwargs} failed. Updating knowledge {knowledge_id} to UPLOADED" - ) - except Exception as e: - logger.exception(f"handling event {event} raised exception: {e}") - - with app.connection() as connection: - recv = app.events.Receiver( - connection, - handlers={ - "task-failed": handle_task_event, - "task-succeeded": handle_task_event, - }, - ) - recv.capture(limit=None, timeout=None, wakeup=True) - - -if __name__ == "__main__": - logger.info("Started quivr-notifier notification...") - notifier(celery) diff --git a/backend/api/quivr_api/celery_worker.py b/backend/api/quivr_api/celery_worker.py deleted file mode 100644 index 61f9d17bb742..000000000000 --- a/backend/api/quivr_api/celery_worker.py +++ /dev/null @@ -1,286 +0,0 @@ -import os -from datetime import datetime, timedelta -from tempfile import NamedTemporaryFile -from uuid import UUID - -from celery.schedules import crontab -from pytz import timezone -from quivr_api.celery_config import celery -from quivr_api.logger import get_logger -from quivr_api.middlewares.auth.auth_bearer import AuthBearer -from quivr_api.models.files import File -from quivr_api.models.settings import get_supabase_client, get_supabase_db -from quivr_api.modules.brain.integrations.Notion.Notion_connector import NotionConnector -from quivr_api.modules.brain.service.brain_service import BrainService -from quivr_api.modules.brain.service.brain_vector_service import BrainVectorService -from quivr_api.modules.notification.service.notification_service import ( - NotificationService, -) -from quivr_api.packages.files.crawl.crawler import CrawlWebsite, slugify -from quivr_api.packages.files.processors import filter_file -from quivr_api.packages.utils.telemetry import maybe_send_telemetry - -logger = get_logger(__name__) - -notification_service = NotificationService() -brain_service = BrainService() -auth_bearer = AuthBearer() - - -@celery.task( - retries=3, - default_retry_delay=1, - name="process_file_and_notify", - autoretry_for=(Exception,), -) -def process_file_and_notify( - file_name: str, - file_original_name: str, - brain_id, - notification_id: UUID, - knowledge_id: UUID, - integration=None, - integration_link=None, - delete_file=False, -): - logger.debug( - f"process_file file_name={file_name}, knowledge_id={knowledge_id}, brain_id={brain_id}, notification_id={notification_id}" - ) - supabase_client = get_supabase_client() - tmp_name = file_name.replace("/", "_") - base_file_name = os.path.basename(file_name) - _, file_extension = os.path.splitext(base_file_name) - - with NamedTemporaryFile( - suffix="_" + tmp_name, # pyright: ignore reportPrivateUsage=none - ) as tmp_file: - res = supabase_client.storage.from_("quivr").download(file_name) - tmp_file.write(res) - tmp_file.flush() - file_instance = File( - file_name=base_file_name, - tmp_file_path=tmp_file.name, - bytes_content=res, - file_size=len(res), - file_extension=file_extension, - ) - brain_vector_service = BrainVectorService(brain_id) - if delete_file: # TODO fix bug - brain_vector_service.delete_file_from_brain( - file_original_name, only_vectors=True - ) - - filter_file( - file=file_instance, - brain_id=brain_id, - original_file_name=file_original_name, - integration=integration, - integration_link=integration_link, - ) - - brain_service.update_brain_last_update_time(brain_id) - - -@celery.task( - retries=3, - default_retry_delay=1, - name="process_crawl_and_notify", - autoretry_for=(Exception,), -) -def process_crawl_and_notify( - crawl_website_url: str, - brain_id: UUID, - knowledge_id: UUID, - notification_id=None, -): - crawl_website = CrawlWebsite(url=crawl_website_url) - # Build file data - extracted_content = crawl_website.process() - extracted_content_bytes = extracted_content.encode("utf-8") - file_name = slugify(crawl_website.url) + ".txt" - - with NamedTemporaryFile( - suffix="_" + file_name, # pyright: ignore reportPrivateUsage=none - ) as tmp_file: - tmp_file.write(extracted_content_bytes) - tmp_file.flush() - file_instance = File( - file_name=file_name, - tmp_file_path=tmp_file.name, - bytes_content=extracted_content_bytes, - file_size=len(extracted_content), - file_extension=".txt", - ) - filter_file( - file=file_instance, - brain_id=brain_id, - original_file_name=crawl_website_url, - ) - - -@celery.task(name="NotionConnectorLoad") -def process_integration_brain_created_initial_load(brain_id, user_id): - notion_connector = NotionConnector(brain_id=brain_id, user_id=user_id) - - pages = notion_connector.load() - - print("pages: ", len(pages)) - - -@celery.task -def process_integration_brain_sync_user_brain(brain_id, user_id): - notion_connector = NotionConnector(brain_id=brain_id, user_id=user_id) - - notion_connector.poll() - - -@celery.task -def ping_telemetry(): - maybe_send_telemetry("ping", {"ping": "pong"}) - - -@celery.task(name="check_if_is_premium_user") -def check_if_is_premium_user(): - if os.getenv("DEACTIVATE_STRIPE") == "true": - logger.info("Stripe deactivated, skipping check for premium users") - return True - - supabase = get_supabase_db() - supabase_db = supabase.db - - paris_tz = timezone("Europe/Paris") - current_time = datetime.now(paris_tz) - current_time_str = current_time.strftime("%Y-%m-%d %H:%M:%S.%f") - logger.debug(f"Current time: {current_time_str}") - - # Define the memoization period (e.g., 1 hour) - memoization_period = timedelta(hours=1) - memoization_cutoff = current_time - memoization_period - - # Fetch all necessary data in bulk - subscriptions = ( - supabase_db.table("subscriptions") - .select("*") - .filter("current_period_end", "gt", current_time_str) - .execute() - ).data - - customers = (supabase_db.table("customers").select("*").execute()).data - - customer_emails = [customer["email"] for customer in customers] - - # Split customer emails into batches of 50 - email_batches = [ - customer_emails[i : i + 20] for i in range(0, len(customer_emails), 20) - ] - - users = [] - for email_batch in email_batches: - batch_users = ( - supabase_db.table("users") - .select("id, email") - .in_("email", email_batch) - .execute() - ).data - users.extend(batch_users) - - product_features = ( - supabase_db.table("product_to_features").select("*").execute() - ).data - - user_settings = (supabase_db.table("user_settings").select("*").execute()).data - - # Create lookup dictionaries for faster access - user_dict = {user["email"]: user["id"] for user in users} - customer_dict = {customer["id"]: customer for customer in customers} - product_dict = { - product["stripe_product_id"]: product for product in product_features - } - settings_dict = {setting["user_id"]: setting for setting in user_settings} - - # Process subscriptions and update user settings - premium_user_ids = set() - settings_to_upsert = {} - for sub in subscriptions: - logger.info(f"Subscription {sub['id']}") - if sub["attrs"]["status"] != "active" and sub["attrs"]["status"] != "trialing": - logger.info(f"Subscription {sub['id']} is not active or trialing") - continue - - customer = customer_dict.get(sub["customer"]) - if not customer: - logger.info(f"No customer found for subscription: {sub['customer']}") - continue - - user_id = user_dict.get(customer["email"]) - if not user_id: - logger.info(f"No user found for customer: {customer['email']}") - continue - - current_settings = settings_dict.get(user_id, {}) - last_check = current_settings.get("last_stripe_check") - - # Skip if the user was checked recently - if last_check and datetime.fromisoformat(last_check) > memoization_cutoff: - premium_user_ids.add(user_id) - logger.info(f"User {user_id} was checked recently") - continue - - user_id = str(user_id) # Ensure user_id is a string - premium_user_ids.add(user_id) - - product_id = sub["attrs"]["items"]["data"][0]["plan"]["product"] - product = product_dict.get(product_id) - if not product: - logger.warning(f"No matching product found for subscription: {sub['id']}") - continue - - settings_to_upsert[user_id] = { - "user_id": user_id, - "max_brains": product["max_brains"], - "max_brain_size": product["max_brain_size"], - "monthly_chat_credit": product["monthly_chat_credit"], - "api_access": product["api_access"], - "models": product["models"], - "is_premium": True, - "last_stripe_check": current_time_str, - } - logger.info(f"Upserting settings for user {user_id}") - - # Bulk upsert premium user settings in batches of 10 - settings_list = list(settings_to_upsert.values()) - logger.info(f"Upserting {len(settings_list)} settings") - for i in range(0, len(settings_list), 10): - batch = settings_list[i : i + 10] - supabase_db.table("user_settings").upsert(batch).execute() - - # Delete settings for non-premium users in batches of 10 - settings_to_delete = [ - setting["user_id"] - for setting in user_settings - if setting["user_id"] not in premium_user_ids and setting.get("is_premium") - ] - for i in range(0, len(settings_to_delete), 10): - batch = settings_to_delete[i : i + 10] - supabase_db.table("user_settings").delete().in_("user_id", batch).execute() - - logger.info( - f"Updated {len(settings_to_upsert)} premium users, deleted settings for {len(settings_to_delete)} non-premium users" - ) - return True - - -celery.conf.beat_schedule = { - "ping_telemetry": { - "task": f"{__name__}.ping_telemetry", - "schedule": crontab(minute="*/30", hour="*"), - }, - "process_sync_active": { - "task": "process_sync_active", - "schedule": crontab(minute="*/1", hour="*"), - }, - "process_premium_users": { - "task": "check_if_is_premium_user", - "schedule": crontab(minute="*/1", hour="*"), - }, -} diff --git a/backend/api/quivr_api/main.py b/backend/api/quivr_api/main.py index d869381dc6b4..bf2753a0352e 100644 --- a/backend/api/quivr_api/main.py +++ b/backend/api/quivr_api/main.py @@ -7,6 +7,9 @@ from fastapi import FastAPI, HTTPException, Request from fastapi.responses import HTMLResponse, JSONResponse from pyinstrument import Profiler +from sentry_sdk.integrations.fastapi import FastApiIntegration +from sentry_sdk.integrations.starlette import StarletteIntegration + from quivr_api.logger import get_logger from quivr_api.middlewares.cors import add_cors_middleware from quivr_api.modules.analytics.controller.analytics_routes import analytics_router @@ -22,12 +25,10 @@ from quivr_api.modules.sync.controller import sync_router from quivr_api.modules.upload.controller import upload_router from quivr_api.modules.user.controller import user_router -from quivr_api.packages.utils import handle_request_validation_error -from quivr_api.packages.utils.telemetry import maybe_send_telemetry from quivr_api.routes.crawl_routes import crawl_router from quivr_api.routes.subscription_routes import subscription_router -from sentry_sdk.integrations.fastapi import FastApiIntegration -from sentry_sdk.integrations.starlette import StarletteIntegration +from quivr_api.utils import handle_request_validation_error +from quivr_api.utils.telemetry import maybe_send_telemetry load_dotenv() @@ -37,7 +38,7 @@ logging.getLogger("LiteLLM").setLevel(logging.WARNING) logging.getLogger("litellm").setLevel(logging.WARNING) get_logger("quivr_core") -litellm.set_verbose = False +litellm.set_verbose = False # type: ignore logger = get_logger(__name__) diff --git a/backend/api/quivr_api/models/crawler.py b/backend/api/quivr_api/models/crawler.py new file mode 100644 index 000000000000..73fdb664ea7b --- /dev/null +++ b/backend/api/quivr_api/models/crawler.py @@ -0,0 +1,11 @@ +import os + +from pydantic import BaseModel + + +class CrawlWebsite(BaseModel): + url: str + js: bool = False + depth: int = int(os.getenv("CRAWL_DEPTH", "1")) + max_pages: int = 100 + max_time: int = 60 diff --git a/backend/api/quivr_api/models/files.py b/backend/api/quivr_api/models/files.py deleted file mode 100644 index 6a17c6be7149..000000000000 --- a/backend/api/quivr_api/models/files.py +++ /dev/null @@ -1,110 +0,0 @@ -from pathlib import Path -from typing import List, Optional - -from langchain.text_splitter import RecursiveCharacterTextSplitter -from langchain_core.documents import Document -from pydantic import BaseModel - -from quivr_api.logger import get_logger -from quivr_api.models.databases.supabase.supabase import SupabaseDB -from quivr_api.models.settings import get_supabase_db -from quivr_api.modules.brain.service.brain_vector_service import BrainVectorService -from quivr_api.packages.files.file import compute_sha1_from_content - -logger = get_logger(__name__) - - -class File(BaseModel): - file_name: str - tmp_file_path: Path - bytes_content: bytes - file_size: int - file_extension: str - chunk_size: int = 400 - chunk_overlap: int = 100 - documents: List[Document] = [] - file_sha1: Optional[str] = None - vectors_ids: Optional[list] = [] - - def __init__(self, **data): - super().__init__(**data) - data["file_sha1"] = compute_sha1_from_content(data["bytes_content"]) - - @property - def supabase_db(self) -> SupabaseDB: - return get_supabase_db() - - def compute_documents(self, loader_class): - """ - Compute the documents from the file - - Args: - loader_class (class): The class of the loader to use to load the file - """ - logger.info(f"Computing documents from file {self.file_name}") - loader = loader_class(self.tmp_file_path) - loaded_content = loader.load() - documents = ( - [loaded_content] if not isinstance(loaded_content, list) else loaded_content - ) - - text_splitter = RecursiveCharacterTextSplitter.from_tiktoken_encoder( - chunk_size=self.chunk_size, chunk_overlap=self.chunk_overlap - ) - - self.documents = text_splitter.split_documents(documents) - - def set_file_vectors_ids(self): - """ - Set the vectors_ids property with the ids of the vectors - that are associated with the file in the vectors table - """ - self.vectors_ids = self.supabase_db.get_vectors_by_file_sha1( - self.file_sha1 - ).data - - def file_already_exists(self): - """ - Check if file already exists in vectors table - """ - self.set_file_vectors_ids() - - # if the file does not exist in vectors then no need to go check in brains_vectors - if len(self.vectors_ids) == 0: # pyright: ignore reportPrivateUsage=none - return False - - return True - - def file_already_exists_in_brain(self, brain_id): - """ - Check if file already exists in a brain - - Args: - brain_id (str): Brain id - """ - response = self.supabase_db.get_brain_vectors_by_brain_id_and_file_sha1( - brain_id, - self.file_sha1, # type: ignore - ) - - if len(response.data) == 0: - return False - - return True - - def file_is_empty(self): - """ - Check if file is empty by checking if the file pointer is at the beginning of the file - """ - return self.file_size < 1 # pyright: ignore reportPrivateUsage=none - - def link_file_to_brain(self, brain_id): - self.set_file_vectors_ids() - - if self.vectors_ids is None: - return - - brain_vector_service = BrainVectorService(brain_id) - - for vector_id in self.vectors_ids: # pyright: ignore reportPrivateUsage=none - brain_vector_service.create_brain_vector(vector_id["id"], self.file_sha1) diff --git a/backend/api/quivr_api/models/files_in_storage.py b/backend/api/quivr_api/models/files_in_storage.py deleted file mode 100644 index 05e4d908cfa9..000000000000 --- a/backend/api/quivr_api/models/files_in_storage.py +++ /dev/null @@ -1,16 +0,0 @@ -from uuid import UUID - -from pydantic import BaseModel - - -class FileInStorage(BaseModel): - Id: UUID - Key: str - - @property - def id(self) -> UUID: - return self.Id - - @property - def key(self) -> str: - return self.Key diff --git a/backend/api/quivr_api/models/settings.py b/backend/api/quivr_api/models/settings.py index 5939c0ebb7c7..bbe52ede447e 100644 --- a/backend/api/quivr_api/models/settings.py +++ b/backend/api/quivr_api/models/settings.py @@ -1,16 +1,13 @@ from typing import Optional from uuid import UUID -from langchain.embeddings.base import Embeddings -from langchain_community.embeddings.ollama import OllamaEmbeddings -from langchain_community.vectorstores.supabase import SupabaseVectorStore -from langchain_openai import OpenAIEmbeddings from posthog import Posthog from pydantic_settings import BaseSettings, SettingsConfigDict +from sqlalchemy import Engine +from supabase.client import AsyncClient, Client + from quivr_api.logger import get_logger from quivr_api.models.databases.supabase.supabase import SupabaseDB -from sqlalchemy import Engine, create_engine -from supabase.client import Client, create_client logger = get_logger(__name__) @@ -29,9 +26,9 @@ class SendEmailSettings(BaseSettings): # The `PostHogSettings` class is used to initialize and interact with the PostHog analytics service. class PostHogSettings(BaseSettings): model_config = SettingsConfigDict(validate_default=False) - posthog_api_key: str = None - posthog_api_url: str = None - posthog: Posthog = None + posthog_api_key: str | None = None + posthog_api_url: str | None = None + posthog: Posthog | None = None def __init__(self, *args, **kwargs): """ @@ -124,6 +121,7 @@ class BrainSettings(BaseSettings): langfuse_secret_key: str | None = None pg_database_url: str pg_database_async_url: str + embedding_dim: int class ResendSettings(BaseSettings): @@ -133,62 +131,9 @@ class ResendSettings(BaseSettings): # Global variables to store the Supabase client and database instances _supabase_client: Optional[Client] = None +_supabase_async_client: Optional[AsyncClient] = None _supabase_db: Optional[SupabaseDB] = None _db_engine: Optional[Engine] = None _embedding_service = None -settings = BrainSettings() - - -def get_pg_database_engine(): - global _db_engine - if _db_engine is None: - logger.info("Creating Postgres DB engine") - _db_engine = create_engine(settings.pg_database_url, pool_pre_ping=True) - return _db_engine - - -def get_pg_database_async_engine(): - global _db_engine - if _db_engine is None: - logger.info("Creating Postgres DB engine") - _db_engine = create_engine(settings.pg_database_async_url, pool_pre_ping=True) - return _db_engine - - -def get_supabase_client() -> Client: - global _supabase_client - if _supabase_client is None: - logger.info("Creating Supabase client") - _supabase_client = create_client( - settings.supabase_url, settings.supabase_service_key - ) - return _supabase_client - - -def get_supabase_db() -> SupabaseDB: - global _supabase_db - if _supabase_db is None: - logger.info("Creating Supabase DB") - _supabase_db = SupabaseDB(get_supabase_client()) - return _supabase_db - - -def get_embedding_client() -> Embeddings: - global _embedding_service - if settings.ollama_api_base_url: - embeddings = OllamaEmbeddings( - base_url=settings.ollama_api_base_url, - ) # pyright: ignore reportPrivateUsage=none - else: - embeddings = OpenAIEmbeddings() # pyright: ignore reportPrivateUsage=none - return embeddings - - -def get_documents_vector_store() -> SupabaseVectorStore: - embeddings = get_embedding_client() - supabase_client: Client = get_supabase_client() - documents_vector_store = SupabaseVectorStore( - supabase_client, embeddings, table_name="vectors" - ) - return documents_vector_store +settings = BrainSettings() # type: ignore diff --git a/backend/api/quivr_api/modules/analytics/repository/analytics.py b/backend/api/quivr_api/modules/analytics/repository/analytics.py index 59546a361d6d..95914229814e 100644 --- a/backend/api/quivr_api/modules/analytics/repository/analytics.py +++ b/backend/api/quivr_api/modules/analytics/repository/analytics.py @@ -3,9 +3,9 @@ from typing import Optional from uuid import UUID -from quivr_api.models.settings import get_supabase_client from quivr_api.modules.analytics.entity.analytics import BrainsUsages, Range, Usage from quivr_api.modules.brain.service.brain_user_service import BrainUserService +from quivr_api.modules.dependencies import get_supabase_client brain_user_service = BrainUserService() diff --git a/backend/api/quivr_api/modules/api_key/repository/api_keys.py b/backend/api/quivr_api/modules/api_key/repository/api_keys.py index 01e14d61c88c..7d13e1fada11 100644 --- a/backend/api/quivr_api/modules/api_key/repository/api_keys.py +++ b/backend/api/quivr_api/modules/api_key/repository/api_keys.py @@ -2,9 +2,9 @@ from typing import Optional from uuid import UUID -from quivr_api.models.settings import get_supabase_client from quivr_api.modules.api_key.entity.api_key import ApiKey from quivr_api.modules.api_key.repository.api_key_interface import ApiKeysInterface +from quivr_api.modules.dependencies import get_supabase_client class ApiKeys(ApiKeysInterface): diff --git a/backend/api/quivr_api/modules/assistant/ito/difference.py b/backend/api/quivr_api/modules/assistant/ito/difference.py index e01f95755302..fd19d0648edc 100644 --- a/backend/api/quivr_api/modules/assistant/ito/difference.py +++ b/backend/api/quivr_api/modules/assistant/ito/difference.py @@ -1,10 +1,7 @@ -import asyncio import os import tempfile from typing import List -import nest_asyncio -import uvloop from fastapi import UploadFile from langchain.prompts import HumanMessagePromptTemplate, SystemMessagePromptTemplate from langchain_community.chat_models import ChatLiteLLM @@ -24,10 +21,6 @@ from quivr_api.modules.assistant.ito.ito import ITO from quivr_api.modules.user.entity.user_identity import UserIdentity -if not isinstance(asyncio.get_event_loop(), uvloop.Loop): - nest_asyncio.apply() - - logger = get_logger(__name__) diff --git a/backend/api/quivr_api/modules/assistant/ito/ito.py b/backend/api/quivr_api/modules/assistant/ito/ito.py index 72cdda6f91d1..39d4d02f68a2 100644 --- a/backend/api/quivr_api/modules/assistant/ito/ito.py +++ b/backend/api/quivr_api/modules/assistant/ito/ito.py @@ -9,6 +9,8 @@ from fastapi import UploadFile from pydantic import BaseModel +from unidecode import unidecode + from quivr_api.logger import get_logger from quivr_api.models.settings import SendEmailSettings from quivr_api.modules.assistant.dto.inputs import InputAssistant @@ -17,8 +19,7 @@ from quivr_api.modules.upload.controller.upload_routes import upload_file from quivr_api.modules.user.entity.user_identity import UserIdentity from quivr_api.modules.user.service.user_usage import UserUsage -from quivr_api.packages.emails.send_email import send_email -from unidecode import unidecode +from quivr_api.utils.send_email import send_email logger = get_logger(__name__) @@ -90,23 +91,23 @@ async def send_output_by_email( body = f"""
Quivr Logo - +

Quivr's ingestion process has been completed. The processed file is attached.

- +

Task: {task_name}

- +

Output: {custom_message}


- +
""" if brain_id: body += f"
You can find the file here.

" - body += f""" + body += """

Please let us know if you have any questions or need further assistance.

- +

The Quivr Team

""" diff --git a/backend/api/quivr_api/modules/assistant/service/assistant.py b/backend/api/quivr_api/modules/assistant/service/assistant.py index 7273dd5a1a8b..e4c013d6f162 100644 --- a/backend/api/quivr_api/modules/assistant/service/assistant.py +++ b/backend/api/quivr_api/modules/assistant/service/assistant.py @@ -1,8 +1,8 @@ -from quivr_api.models.settings import get_supabase_client from quivr_api.modules.assistant.entity.assistant import AssistantEntity from quivr_api.modules.assistant.repository.assistant_interface import ( AssistantInterface, ) +from quivr_api.modules.dependencies import get_supabase_client class Assistant(AssistantInterface): diff --git a/backend/api/quivr_api/modules/brain/controller/brain_routes.py b/backend/api/quivr_api/modules/brain/controller/brain_routes.py index a68e16f311b1..3894c9e8b45b 100644 --- a/backend/api/quivr_api/modules/brain/controller/brain_routes.py +++ b/backend/api/quivr_api/modules/brain/controller/brain_routes.py @@ -34,8 +34,8 @@ from quivr_api.modules.prompt.service.prompt_service import PromptService from quivr_api.modules.user.entity.user_identity import UserIdentity from quivr_api.modules.user.service.user_usage import UserUsage -from quivr_api.packages.utils.telemetry import maybe_send_telemetry -from quivr_api.packages.utils.uuid_generator import generate_uuid_from_string +from quivr_api.utils.telemetry import maybe_send_telemetry +from quivr_api.utils.uuid_generator import generate_uuid_from_string logger = get_logger(__name__) brain_router = APIRouter() diff --git a/backend/api/quivr_api/modules/brain/integrations/Multi_Contract/Brain.py b/backend/api/quivr_api/modules/brain/integrations/Multi_Contract/Brain.py index 3f196c176da4..9cef1960c65a 100644 --- a/backend/api/quivr_api/modules/brain/integrations/Multi_Contract/Brain.py +++ b/backend/api/quivr_api/modules/brain/integrations/Multi_Contract/Brain.py @@ -10,6 +10,7 @@ from langchain_core.pydantic_v1 import Field as FieldV1 from langchain_core.runnables import RunnableLambda, RunnablePassthrough from langchain_openai import ChatOpenAI + from quivr_api.logger import get_logger from quivr_api.modules.brain.knowledge_brain_qa import KnowledgeBrainQA @@ -113,9 +114,8 @@ def __init__( ) def get_chain(self): - list_files_array = ( - self.knowledge_qa.knowledge_service.get_all_knowledge_in_brain( + await self.knowledge_qa.knowledge_service.get_all_knowledge_in_brain( self.brain_id ) ) # pyright: ignore reportPrivateUsage=none @@ -176,7 +176,6 @@ def get_chain(self): api_base=api_base, ) # pyright: ignore reportPrivateUsage=none if self.model_compatible_with_function_calling(self.model): - # And finally, we do the part that returns the answers llm_function = ChatOpenAI( max_tokens=self.max_tokens, diff --git a/backend/api/quivr_api/modules/brain/integrations/Notion/Notion_connector.py b/backend/api/quivr_api/modules/brain/integrations/Notion/Notion_connector.py index 42cf3b122459..aa9342199975 100644 --- a/backend/api/quivr_api/modules/brain/integrations/Notion/Notion_connector.py +++ b/backend/api/quivr_api/modules/brain/integrations/Notion/Notion_connector.py @@ -7,6 +7,7 @@ import requests from fastapi import UploadFile from pydantic import BaseModel + from quivr_api.celery_config import celery from quivr_api.logger import get_logger from quivr_api.modules.brain.entity.integration_brain import IntegrationEntity @@ -312,7 +313,7 @@ def add_file_to_knowledge( logger.info(f"Knowledge {added_knowledge} added successfully") celery.send_task( - "process_file_and_notify", + "process_file_task", kwargs={ "file_name": filename_with_brain_id, "file_original_name": page_name + "_notion.txt", @@ -384,7 +385,6 @@ def poll(self): if __name__ == "__main__": - notion = NotionConnector( brain_id="73f7d092-d596-4fd0-b24f-24031e9b53cd", user_id="39418e3b-0258-4452-af60-7acfcc1263ff", diff --git a/backend/api/quivr_api/modules/brain/rags/quivr_rag.py b/backend/api/quivr_api/modules/brain/rags/quivr_rag.py deleted file mode 100644 index 644d5999ccbc..000000000000 --- a/backend/api/quivr_api/modules/brain/rags/quivr_rag.py +++ /dev/null @@ -1,363 +0,0 @@ -import datetime -from operator import itemgetter -from typing import List, Optional -from uuid import UUID - -from langchain.chains import ConversationalRetrievalChain -from langchain.llms.base import BaseLLM -from langchain.prompts import HumanMessagePromptTemplate, SystemMessagePromptTemplate -from langchain.retrievers import ContextualCompressionRetriever -from langchain.schema import format_document -from langchain_cohere import CohereRerank -from langchain_community.chat_models import ChatLiteLLM -from langchain_core.output_parsers import StrOutputParser -from langchain_core.prompts import ChatPromptTemplate, PromptTemplate -from langchain_core.pydantic_v1 import BaseModel as BaseModelV1 -from langchain_core.pydantic_v1 import Field as FieldV1 -from langchain_core.runnables import RunnableLambda, RunnablePassthrough -from langchain_openai import ChatOpenAI -from pydantic import BaseModel, ConfigDict -from pydantic_settings import BaseSettings -from quivr_api.logger import get_logger - -# Importing settings related to the 'brain' -from quivr_api.models.settings import ( - BrainSettings, - get_embedding_client, - get_supabase_client, -) -from quivr_api.modules.brain.qa_interface import model_compatible_with_function_calling -from quivr_api.modules.brain.service.brain_service import BrainService -from quivr_api.modules.chat.service.chat_service import ChatService -from quivr_api.modules.dependencies import get_service -from quivr_api.modules.knowledge.repository.knowledges import KnowledgeRepository -from quivr_api.modules.prompt.service.get_prompt_to_use import get_prompt_to_use -from quivr_api.vectorstore.supabase import CustomSupabaseVectorStore -from supabase.client import Client - -logger = get_logger(__name__) - - -class cited_answer(BaseModelV1): - """Answer the user question based only on the given sources, and cite the sources used.""" - - answer: str = FieldV1( - ..., - description="The answer to the user question, which is based only on the given sources.", - ) - citations: List[int] = FieldV1( - ..., - description="The integer IDs of the SPECIFIC sources which justify the answer.", - ) - - followup_questions: List[str] = FieldV1( - ..., - description="Generate up to 3 follow-up questions that could be asked based on the answer given or context provided.", - ) - - -# First step is to create the Rephrasing Prompt -_template = """Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question, in its original language. Keep as much details as possible from previous messages. Keep entity names and all. - -Chat History: -{chat_history} -Follow Up Input: {question} -Standalone question:""" -CONDENSE_QUESTION_PROMPT = PromptTemplate.from_template(_template) - -# Next is the answering prompt - -template_answer = """ -Context: -{context} - -User Question: {question} -Answer: -""" - -today_date = datetime.datetime.now().strftime("%B %d, %Y") - -system_message_template = ( - f"Your name is Quivr. You're a helpful assistant. Today's date is {today_date}." -) - -system_message_template += """ -When answering use markdown. -Use markdown code blocks for code snippets. -Answer in a concise and clear manner. -Use the following pieces of context from files provided by the user to answer the users. -Answer in the same language as the user question. -If you don't know the answer with the context provided from the files, just say that you don't know, don't try to make up an answer. -Don't cite the source id in the answer objects, but you can use the source to answer the question. -You have access to the files to answer the user question (limited to first 20 files): -{files} - -If not None, User instruction to follow to answer: {custom_instructions} -Don't cite the source id in the answer objects, but you can use the source to answer the question. -""" - - -ANSWER_PROMPT = ChatPromptTemplate.from_messages( - [ - SystemMessagePromptTemplate.from_template(system_message_template), - HumanMessagePromptTemplate.from_template(template_answer), - ] -) - - -# How we format documents - -DEFAULT_DOCUMENT_PROMPT = PromptTemplate.from_template( - template="Source: {index} \n {page_content}" -) - - -def is_valid_uuid(uuid_to_test, version=4): - try: - uuid_obj = UUID(uuid_to_test, version=version) - except ValueError: - return False - - return str(uuid_obj) == uuid_to_test - - -brain_service = BrainService() -chat_service = get_service(ChatService)() - - -class QuivrRAG(BaseModel): - """ - Quivr implementation of the RAGInterface. - """ - - model_config = ConfigDict(arbitrary_types_allowed=True) - - # Instantiate settings - brain_settings: BaseSettings = BrainSettings() - # Default class attributes - model: str = None # pyright: ignore reportPrivateUsage=none - temperature: float = 0.1 - chat_id: str = None # pyright: ignore reportPrivateUsage=none - brain_id: str = None # pyright: ignore reportPrivateUsage=none - max_tokens: int = 2000 # Output length - max_input: int = 2000 - streaming: bool = False - knowledge_service: KnowledgeRepository = None - - def prompt_to_use(self): - if self.brain_id and is_valid_uuid(self.brain_id): - return get_prompt_to_use(UUID(self.brain_id), self.prompt_id) - else: - return None - - supabase_client: Optional[Client] = None - vector_store: Optional[CustomSupabaseVectorStore] = None - qa: Optional[ConversationalRetrievalChain] = None - prompt_id: Optional[UUID] = None - - def __init__( - self, - model: str, - brain_id: str, - chat_id: str, - streaming: bool = False, - prompt_id: Optional[UUID] = None, - max_tokens: int = 2000, - max_input: int = 2000, - **kwargs, - ): - super().__init__( - model=model, - brain_id=brain_id, - chat_id=chat_id, - streaming=streaming, - max_tokens=max_tokens, - max_input=max_input, - **kwargs, - ) - self.supabase_client = get_supabase_client() - self.vector_store = self._create_vector_store() - self.prompt_id = prompt_id - self.max_tokens = max_tokens - self.max_input = max_input - self.model = model - self.brain_id = brain_id - self.chat_id = chat_id - self.streaming = streaming - self.knowledge_service = KnowledgeRepository() - - def _create_vector_store(self) -> CustomSupabaseVectorStore: - embeddings = get_embedding_client() - return CustomSupabaseVectorStore( - self.supabase_client, - embeddings, - table_name="vectors", - brain_id=self.brain_id, - max_input=self.max_input, - ) - - def _create_llm( - self, - callbacks, - model, - streaming=False, - temperature=0, - ) -> BaseLLM: - """ - Create a LLM with the given parameters - """ - if streaming and callbacks is None: - raise ValueError( - "Callbacks must be provided when using streaming language models" - ) - - api_base = None - if self.brain_settings.ollama_api_base_url and model.startswith("ollama"): - api_base = ( - self.brain_settings.ollama_api_base_url # pyright: ignore reportPrivateUsage=none - ) - - return ChatLiteLLM( - temperature=temperature, - max_tokens=self.max_tokens, - model=model, - streaming=streaming, - verbose=False, - callbacks=callbacks, - api_base=api_base, - ) # pyright: ignore reportPrivateUsage=none - - def _combine_documents( - self, docs, document_prompt=DEFAULT_DOCUMENT_PROMPT, document_separator="\n\n" - ): - # for each docs, add an index in the metadata to be able to cite the sources - for doc, index in zip(docs, range(len(docs))): - doc.metadata["index"] = index - doc_strings = [format_document(doc, document_prompt) for doc in docs] - return document_separator.join(doc_strings) - - def get_retriever(self): - return self.vector_store.as_retriever() - - def filter_history( - self, chat_history, max_history: int = 10, max_tokens: int = 2000 - ): - """ - Filter out the chat history to only include the messages that are relevant to the current question - - Takes in a chat_history= [HumanMessage(content='Qui est Chloé ? '), AIMessage(content="Chloé est une salariée travaillant pour l'entreprise Quivr en tant qu'AI Engineer, sous la direction de son supérieur hiérarchique, Stanislas Girard."), HumanMessage(content='Dis moi en plus sur elle'), AIMessage(content=''), HumanMessage(content='Dis moi en plus sur elle'), AIMessage(content="Désolé, je n'ai pas d'autres informations sur Chloé à partir des fichiers fournis.")] - Returns a filtered chat_history with in priority: first max_tokens, then max_history where a Human message and an AI message count as one pair - a token is 4 characters - """ - chat_history = chat_history[::-1] - total_tokens = 0 - total_pairs = 0 - filtered_chat_history = [] - for i in range(0, len(chat_history), 2): - if i + 1 < len(chat_history): - human_message = chat_history[i] - ai_message = chat_history[i + 1] - message_tokens = ( - len(human_message.content) + len(ai_message.content) - ) // 4 - if ( - total_tokens + message_tokens > max_tokens - or total_pairs >= max_history - ): - break - filtered_chat_history.append(human_message) - filtered_chat_history.append(ai_message) - total_tokens += message_tokens - total_pairs += 1 - chat_history = filtered_chat_history[::-1] - - return chat_history - - def get_chain(self): - list_files_array = self.knowledge_service.get_all_knowledge_in_brain( - self.brain_id - ) # pyright: ignore reportPrivateUsage=none - - list_files_array = [file.file_name or file.url for file in list_files_array] - # Max first 10 files - if len(list_files_array) > 20: - list_files_array = list_files_array[:20] - - list_files = "\n".join(list_files_array) if list_files_array else "None" - - # TODO(@aminediro) : Should be a class level attribute - compressor = None - # TODO @stangirard fix - # if os.getenv("COHERE_API_KEY"): - compressor = CohereRerank(top_n=20) - # else: - # compressor = FlashrankRerank(model="ms-marco-TinyBERT-L-2-v2", top_n=20) - - retriever_doc = self.get_retriever() - compression_retriever = ContextualCompressionRetriever( - base_compressor=compressor, base_retriever=retriever_doc - ) - - loaded_memory = RunnablePassthrough.assign( - chat_history=RunnableLambda( - lambda x: self.filter_history(x["chat_history"]), - ), - question=lambda x: x["question"], - ) - - api_base = None - if self.brain_settings.ollama_api_base_url and self.model.startswith("ollama"): - api_base = self.brain_settings.ollama_api_base_url - - standalone_question = { - "standalone_question": { - "question": lambda x: x["question"], - "chat_history": itemgetter("chat_history"), - } - | CONDENSE_QUESTION_PROMPT - | ChatLiteLLM(temperature=0, model=self.model, api_base=api_base) - | StrOutputParser(), - } - - prompt_custom_user = self.prompt_to_use() - prompt_to_use = "None" - if prompt_custom_user: - prompt_to_use = prompt_custom_user.content - - # Now we retrieve the documents - retrieved_documents = { - "docs": itemgetter("standalone_question") | compression_retriever, - "question": lambda x: x["standalone_question"], - "custom_instructions": lambda x: prompt_to_use, - } - - final_inputs = { - "context": lambda x: self._combine_documents(x["docs"]), - "question": itemgetter("question"), - "custom_instructions": itemgetter("custom_instructions"), - "files": lambda x: list_files, - } - llm = ChatLiteLLM( - max_tokens=self.max_tokens, - model=self.model, - temperature=self.temperature, - api_base=api_base, - ) # pyright: ignore reportPrivateUsage=none - if model_compatible_with_function_calling(self.model): - # And finally, we do the part that returns the answers - llm_function = ChatOpenAI( - max_tokens=self.max_tokens, - model=self.model, - temperature=self.temperature, - ) - llm = llm_function.bind_tools( - [cited_answer], - tool_choice="cited_answer", - ) - - answer = { - "answer": final_inputs | ANSWER_PROMPT | llm, - "docs": itemgetter("docs"), - } - - return loaded_memory | standalone_question | retrieved_documents | answer diff --git a/backend/api/quivr_api/modules/brain/rags/rag_interface.py b/backend/api/quivr_api/modules/brain/rags/rag_interface.py deleted file mode 100644 index 9364eb0dfcf3..000000000000 --- a/backend/api/quivr_api/modules/brain/rags/rag_interface.py +++ /dev/null @@ -1,31 +0,0 @@ -from abc import ABC, abstractmethod -from typing import List, Optional - -from langchain.callbacks.streaming_aiter import AsyncIteratorCallbackHandler -from langchain.chains.combine_documents.base import BaseCombineDocumentsChain -from langchain.chains.llm import LLMChain -from langchain_core.retrievers import BaseRetriever - - -class RAGInterface(ABC): - @abstractmethod - def get_doc_chain( - self, - streaming: bool, - callbacks: Optional[List[AsyncIteratorCallbackHandler]] = None, - ) -> BaseCombineDocumentsChain: - raise NotImplementedError( - "get_doc_chain is an abstract method and must be implemented" - ) - - @abstractmethod - def get_question_generation_llm(self) -> LLMChain: - raise NotImplementedError( - "get_question_generation_llm is an abstract method and must be implemented" - ) - - @abstractmethod - def get_retriever(self) -> BaseRetriever: - raise NotImplementedError( - "get_retriever is an abstract method and must be implemented" - ) diff --git a/backend/api/quivr_api/modules/brain/repository/brains.py b/backend/api/quivr_api/modules/brain/repository/brains.py index d207dee5ee02..5fc18beef03a 100644 --- a/backend/api/quivr_api/modules/brain/repository/brains.py +++ b/backend/api/quivr_api/modules/brain/repository/brains.py @@ -1,17 +1,18 @@ from uuid import UUID +from sqlalchemy import text + from quivr_api.logger import get_logger -from quivr_api.models.settings import ( - get_embedding_client, - get_pg_database_engine, - get_supabase_client, -) from quivr_api.modules.brain.dto.inputs import BrainUpdatableProperties from quivr_api.modules.brain.entity.brain_entity import BrainEntity from quivr_api.modules.brain.repository.interfaces.brains_interface import ( BrainsInterface, ) -from sqlalchemy import text +from quivr_api.modules.dependencies import ( + get_embedding_client, + get_pg_database_engine, + get_supabase_client, +) logger = get_logger(__name__) diff --git a/backend/api/quivr_api/modules/brain/repository/brains_users.py b/backend/api/quivr_api/modules/brain/repository/brains_users.py index c1f37cd14ead..adc2d0e147c0 100644 --- a/backend/api/quivr_api/modules/brain/repository/brains_users.py +++ b/backend/api/quivr_api/modules/brain/repository/brains_users.py @@ -1,7 +1,6 @@ from uuid import UUID from quivr_api.logger import get_logger -from quivr_api.models.settings import get_embedding_client, get_supabase_client from quivr_api.modules.brain.entity.brain_entity import ( BrainUser, MinimalUserBrainEntity, @@ -9,6 +8,7 @@ from quivr_api.modules.brain.repository.interfaces.brains_users_interface import ( BrainsUsersInterface, ) +from quivr_api.modules.dependencies import get_embedding_client, get_supabase_client logger = get_logger(__name__) diff --git a/backend/api/quivr_api/modules/brain/repository/brains_vectors.py b/backend/api/quivr_api/modules/brain/repository/brains_vectors.py index ef1cd05c2080..1b1fe513a680 100644 --- a/backend/api/quivr_api/modules/brain/repository/brains_vectors.py +++ b/backend/api/quivr_api/modules/brain/repository/brains_vectors.py @@ -1,8 +1,12 @@ +from uuid import UUID + +from sqlalchemy import text + from quivr_api.logger import get_logger -from quivr_api.models.settings import get_supabase_client from quivr_api.modules.brain.repository.interfaces.brains_vectors_interface import ( BrainsVectorsInterface, ) +from quivr_api.modules.dependencies import get_pg_database_engine, get_supabase_client logger = get_logger(__name__) @@ -11,6 +15,8 @@ class BrainsVectors(BrainsVectorsInterface): def __init__(self): supabase_client = get_supabase_client() self.db = supabase_client + # FIXME(@aminediro) : refactor this to use session injected by Like other service + self.pg_engine = get_pg_database_engine() def create_brain_vector(self, brain_id, vector_id, file_sha1): response = ( @@ -36,7 +42,35 @@ def get_vector_ids_from_file_sha1(self, file_sha1: str): ) return vectorsResponse.data - def get_brain_vector_ids(self, brain_id): + def get_unique_files_from_vector_ids(self, vectors_ids: list[UUID]): + pass + + def get_brain_size(self, brain_id: UUID) -> int: + query = """ + with + tmp_table as ( + select distinct + v.metadata ->> 'file_name' as file_name, + NULLIF(v.metadata ->> 'file_size', '')::int as file_size + from + vectors v, + brains_vectors bv + where + bv.brain_id = '{brain_id}'::uuid + and bv.vector_id = v.id + ) + select + sum(file_size) + from + tmp_table; + """ + with self.pg_engine.begin() as connection: + result = connection.execute(text(query.format(brain_id=brain_id))) + total_size = result.scalar() + + return int(total_size) if total_size is not None else -1 + + def get_brain_vector_ids(self, brain_id: UUID) -> list[UUID]: """ Retrieve unique brain data (i.e. uploaded files and crawled websites). """ @@ -44,11 +78,11 @@ def get_brain_vector_ids(self, brain_id): response = ( self.db.from_("brains_vectors") .select("vector_id") - .filter("brain_id", "eq", brain_id) + .filter("brain_id", "eq", str(brain_id)) .execute() ) - vector_ids = [item["vector_id"] for item in response.data] + vector_ids = [UUID(item["vector_id"]) for item in response.data] if len(vector_ids) == 0: return [] diff --git a/backend/api/quivr_api/modules/brain/repository/integration_brains.py b/backend/api/quivr_api/modules/brain/repository/integration_brains.py index d72cdaf3d203..51491ad33de6 100644 --- a/backend/api/quivr_api/modules/brain/repository/integration_brains.py +++ b/backend/api/quivr_api/modules/brain/repository/integration_brains.py @@ -1,7 +1,6 @@ from abc import ABC, abstractmethod from typing import List -from quivr_api.models.settings import get_supabase_client from quivr_api.modules.brain.entity.integration_brain import ( IntegrationDescriptionEntity, IntegrationEntity, @@ -10,10 +9,10 @@ IntegrationBrainInterface, IntegrationDescriptionInterface, ) +from quivr_api.modules.dependencies import get_supabase_client class Integration(ABC): - @abstractmethod def load(self): pass @@ -63,7 +62,6 @@ def update_last_synced(self, brain_id, user_id): return IntegrationEntity(**response.data[0]) def add_integration_brain(self, brain_id, user_id, integration_id, settings): - response = ( self.db.table("integrations_user") .insert( @@ -116,7 +114,6 @@ def get_integration_brain_by_type_integration( class IntegrationDescription(IntegrationDescriptionInterface): - def __init__(self): self.db = get_supabase_client() diff --git a/backend/api/quivr_api/modules/brain/service/brain_service.py b/backend/api/quivr_api/modules/brain/service/brain_service.py index 5f1db6e816ba..891dc8ea4119 100644 --- a/backend/api/quivr_api/modules/brain/service/brain_service.py +++ b/backend/api/quivr_api/modules/brain/service/brain_service.py @@ -2,6 +2,7 @@ from uuid import UUID from fastapi import HTTPException + from quivr_api.celery_config import celery from quivr_api.logger import get_logger from quivr_api.modules.brain.dto.inputs import ( @@ -17,12 +18,12 @@ IntegrationBrain, IntegrationDescription, ) +from quivr_api.modules.dependencies import get_service from quivr_api.modules.knowledge.service.knowledge_service import KnowledgeService from quivr_api.vectorstore.supabase import CustomSupabaseVectorStore logger = get_logger(__name__) - -knowledge_service = KnowledgeService() +knowledge_service = get_service(KnowledgeService)() class BrainService: @@ -151,7 +152,7 @@ def delete_brain(self, brain_id: UUID) -> dict[str, str]: if brain_to_delete is None: raise HTTPException(status_code=404, detail="Brain not found.") - knowledge_service.remove_brain_all_knowledge(brain_id) + # knowledge_service.remove_brain_all_knowledge(brain_id) #FIXME we don't really want to delete the knowledge @amine if a knowledge can be in multiple brain self.brain_vector.delete_brain_vector(str(brain_id)) self.brain_user_repository.delete_brain_users(str(brain_id)) @@ -203,7 +204,7 @@ def update_brain_last_update_time(self, brain_id: UUID): self.brain_repository.update_brain_last_update_time(brain_id) def get_brain_details( - self, brain_id: UUID, user_id: UUID = None + self, brain_id: UUID, user_id: UUID | None = None ) -> BrainEntity | None: brain = self.brain_repository.get_brain_details(brain_id) if brain is None: diff --git a/backend/api/quivr_api/modules/brain/service/brain_subscription/resend_invitation_email.py b/backend/api/quivr_api/modules/brain/service/brain_subscription/resend_invitation_email.py index 979e2b5469ed..969b8f1ea3f6 100644 --- a/backend/api/quivr_api/modules/brain/service/brain_subscription/resend_invitation_email.py +++ b/backend/api/quivr_api/modules/brain/service/brain_subscription/resend_invitation_email.py @@ -4,7 +4,7 @@ from quivr_api.models.brains_subscription_invitations import BrainSubscription from quivr_api.models.settings import BrainSettings from quivr_api.modules.brain.service.brain_service import BrainService -from quivr_api.packages.emails.send_email import send_email +from quivr_api.utils.send_email import send_email logger = get_logger(__name__) diff --git a/backend/api/quivr_api/modules/brain/service/brain_subscription/subscription_invitation_service.py b/backend/api/quivr_api/modules/brain/service/brain_subscription/subscription_invitation_service.py index 4c27dd077e14..ea1609a2d69f 100644 --- a/backend/api/quivr_api/modules/brain/service/brain_subscription/subscription_invitation_service.py +++ b/backend/api/quivr_api/modules/brain/service/brain_subscription/subscription_invitation_service.py @@ -1,7 +1,7 @@ from quivr_api.logger import get_logger from quivr_api.models.brains_subscription_invitations import BrainSubscription -from quivr_api.models.settings import get_supabase_client from quivr_api.modules.brain.service.brain_user_service import BrainUserService +from quivr_api.modules.dependencies import get_supabase_client from quivr_api.modules.user.service.user_service import UserService logger = get_logger(__name__) diff --git a/backend/api/quivr_api/modules/brain/service/brain_vector_service.py b/backend/api/quivr_api/modules/brain/service/brain_vector_service.py index 749a53168b02..4016b8a7ed8c 100644 --- a/backend/api/quivr_api/modules/brain/service/brain_vector_service.py +++ b/backend/api/quivr_api/modules/brain/service/brain_vector_service.py @@ -1,63 +1,40 @@ -from typing import Any, List from uuid import UUID from quivr_api.logger import get_logger from quivr_api.modules.brain.repository.brains_vectors import BrainsVectors -from quivr_api.modules.brain.repository.interfaces.brains_vectors_interface import ( - BrainsVectorsInterface, -) from quivr_api.modules.knowledge.repository.storage import Storage -from quivr_api.packages.embeddings.vectors import get_unique_files_from_vector_ids logger = get_logger(__name__) class BrainVectorService: - repository: BrainsVectorsInterface - id: UUID - files: List[Any] = [] - def __init__(self, brain_id: UUID): self.repository = BrainsVectors() - self.id = brain_id + self.brain_id = brain_id + self.storage = Storage() - def create_brain_vector(self, vector_id, file_sha1): - return self.repository.create_brain_vector(self.id, vector_id, file_sha1) # type: ignore + def create_brain_vector(self, vector_id: str, file_sha1: str): + return self.repository.create_brain_vector(self.brain_id, vector_id, file_sha1) # type: ignore def update_brain_with_file(self, file_sha1: str): # not used vector_ids = self.repository.get_vector_ids_from_file_sha1(file_sha1) - if vector_ids == None or len(vector_ids) == 0: + if vector_ids is None or len(vector_ids) == 0: logger.info(f"No vector ids found for file {file_sha1}") return for vector_id in vector_ids: self.create_brain_vector(vector_id, file_sha1) - def get_unique_brain_files(self): - """ - Retrieve unique brain data (i.e. uploaded files and crawled websites). - """ - - vector_ids = self.repository.get_brain_vector_ids(self.id) # type: ignore - self.files = get_unique_files_from_vector_ids(vector_ids) - - return self.files - def delete_file_from_brain(self, file_name: str, only_vectors: bool = False): - file_name_with_brain_id = f"{self.id}/{file_name}" - storage = Storage() + file_name_with_brain_id = f"{self.brain_id}/{file_name}" if not only_vectors: - storage.remove_file(file_name_with_brain_id) - return self.repository.delete_file_from_brain(self.id, file_name) # type: ignore + self.storage.remove_file(file_name_with_brain_id) + return self.repository.delete_file_from_brain(self.brain_id, file_name) # type: ignore def delete_file_url_from_brain(self, file_name: str): - return self.repository.delete_file_from_brain(self.id, file_name) # type: ignore + return self.repository.delete_file_from_brain(self.brain_id, file_name) # type: ignore @property def brain_size(self): - # TODO: change the calculation of the brain size, calculate the size stored for the embeddings + what's in the storage - self.get_unique_brain_files() - current_brain_size = sum(float(doc["size"]) for doc in self.files) - - return current_brain_size + return self.repository.get_brain_size(self.brain_id) diff --git a/backend/api/quivr_api/modules/brain/service/get_question_context_from_brain.py b/backend/api/quivr_api/modules/brain/service/get_question_context_from_brain.py index 6b07f98cd89f..5be512097f6e 100644 --- a/backend/api/quivr_api/modules/brain/service/get_question_context_from_brain.py +++ b/backend/api/quivr_api/modules/brain/service/get_question_context_from_brain.py @@ -1,8 +1,9 @@ from uuid import UUID from attr import dataclass + from quivr_api.logger import get_logger -from quivr_api.models.settings import get_embedding_client, get_supabase_client +from quivr_api.modules.dependencies import get_embedding_client, get_supabase_client from quivr_api.modules.upload.service.generate_file_signed_url import ( generate_file_signed_url, ) diff --git a/backend/api/quivr_api/modules/chat/controller/chat/utils.py b/backend/api/quivr_api/modules/chat/controller/chat/utils.py index 74cf25af101b..c6d67af81903 100644 --- a/backend/api/quivr_api/modules/chat/controller/chat/utils.py +++ b/backend/api/quivr_api/modules/chat/controller/chat/utils.py @@ -1,7 +1,7 @@ import time -from uuid import UUID from fastapi import HTTPException + from quivr_api.logger import get_logger from quivr_api.models.databases.llm_models import LLMModel from quivr_api.modules.user.service.user_usage import UserUsage @@ -9,22 +9,6 @@ logger = get_logger(__name__) -class NullableUUID(UUID): - @classmethod - def __get_validators__(cls): - yield cls.validate - - @classmethod - def validate(v, values, **kwargs): - logger.info(f"Validating UUID: {v}") - if v == "": - return None - try: - return UUID(v) - except ValueError: - return None - - # TODO: rewrite def compute_cost(model_to_use, models_settings): model = model_to_use.name @@ -43,7 +27,8 @@ def find_model_and_generate_metadata( ): # Default model is gpt-3.5-turbo-0125 default_model = "gpt-3.5-turbo-0125" - model_to_use = LLMModel( # TODO Implement default models in database + # TODO Implement default models in database + model_to_use = LLMModel( name=default_model, price=1, max_input=4000, max_output=1000 ) diff --git a/backend/api/quivr_api/modules/chat/controller/chat_routes.py b/backend/api/quivr_api/modules/chat/controller/chat_routes.py index c8acf3f646aa..b126d4dc634b 100644 --- a/backend/api/quivr_api/modules/chat/controller/chat_routes.py +++ b/backend/api/quivr_api/modules/chat/controller/chat_routes.py @@ -3,44 +3,45 @@ from fastapi import APIRouter, Depends, HTTPException, Query, Request from fastapi.responses import StreamingResponse - from quivr_api.logger import get_logger from quivr_api.middlewares.auth import AuthBearer, get_current_user from quivr_api.modules.brain.entity.brain_entity import RoleEnum -from quivr_api.modules.brain.service.brain_authorization_service import ( - validate_brain_authorization, -) +from quivr_api.modules.brain.service.brain_authorization_service import \ + validate_brain_authorization from quivr_api.modules.brain.service.brain_service import BrainService from quivr_api.modules.chat.dto.chats import ChatItem, ChatQuestion -from quivr_api.modules.chat.dto.inputs import ( - ChatMessageProperties, - ChatUpdatableProperties, - CreateChatProperties, - QuestionAndAnswer, -) +from quivr_api.modules.chat.dto.inputs import (ChatMessageProperties, + ChatUpdatableProperties, + CreateChatProperties, + QuestionAndAnswer) from quivr_api.modules.chat.entity.chat import Chat from quivr_api.modules.chat.service.chat_service import ChatService from quivr_api.modules.chat_llm_service.chat_llm_service import ChatLLMService from quivr_api.modules.dependencies import get_service -from quivr_api.modules.knowledge.repository.knowledges import KnowledgeRepository +from quivr_api.modules.knowledge.service.knowledge_service import \ + KnowledgeService from quivr_api.modules.models.service.model_service import ModelService from quivr_api.modules.prompt.service.prompt_service import PromptService from quivr_api.modules.rag_service import RAGService from quivr_api.modules.user.entity.user_identity import UserIdentity -from quivr_api.packages.utils.telemetry import maybe_send_telemetry -from quivr_api.packages.utils.uuid_generator import generate_uuid_from_string +from quivr_api.utils.telemetry import maybe_send_telemetry +from quivr_api.utils.uuid_generator import generate_uuid_from_string +from quivr_api.vector.service.vector_service import VectorService logger = get_logger(__name__) chat_router = APIRouter() brain_service = BrainService() -knowledge_service = KnowledgeRepository() +KnowledgeServiceDep = Annotated[ + KnowledgeService, Depends(get_service(KnowledgeService)) +] prompt_service = PromptService() ChatServiceDep = Annotated[ChatService, Depends(get_service(ChatService))] UserIdentityDep = Annotated[UserIdentity, Depends(get_current_user)] ModelServiceDep = Annotated[ModelService, Depends(get_service(ModelService))] +VectorServiceDep = Annotated[VectorService, Depends(get_service(VectorService, False))] def validate_authorization(user_id, brain_id): @@ -166,7 +167,9 @@ async def create_question_handler( chat_id: UUID, current_user: UserIdentityDep, chat_service: ChatServiceDep, + knowledge_service: KnowledgeServiceDep, model_service: ModelServiceDep, + vector_service: VectorServiceDep, brain_id: Annotated[UUID | None, Query()] = None, ): models = await model_service.get_models() @@ -192,6 +195,7 @@ async def create_question_handler( prompt_service, chat_service, knowledge_service, + vector_service ) else: service = ChatLLMService( @@ -231,7 +235,9 @@ async def create_stream_question_handler( chat_id: UUID, chat_service: ChatServiceDep, current_user: UserIdentityDep, + knowledge_service: KnowledgeServiceDep, model_service: ModelServiceDep, + vector_service: VectorServiceDep, brain_id: Annotated[UUID | None, Query()] = None, ) -> StreamingResponse: logger.info( @@ -261,6 +267,7 @@ async def create_stream_question_handler( prompt_service, chat_service, knowledge_service, + vector_service ) else: service = ChatLLMService( diff --git a/backend/api/quivr_api/modules/chat/repository/chats.py b/backend/api/quivr_api/modules/chat/repository/chats.py index adc9a7191734..414138d28602 100644 --- a/backend/api/quivr_api/modules/chat/repository/chats.py +++ b/backend/api/quivr_api/modules/chat/repository/chats.py @@ -1,14 +1,14 @@ from typing import Sequence from uuid import UUID -from quivr_api.models.settings import get_supabase_client -from quivr_api.modules.chat.dto.inputs import ChatMessageProperties, QuestionAndAnswer -from quivr_api.modules.chat.entity.chat import Chat, ChatHistory -from quivr_api.modules.dependencies import BaseRepository from sqlalchemy import exc from sqlmodel import select from sqlmodel.ext.asyncio.session import AsyncSession +from quivr_api.modules.chat.dto.inputs import ChatMessageProperties, QuestionAndAnswer +from quivr_api.modules.chat.entity.chat import Chat, ChatHistory +from quivr_api.modules.dependencies import BaseRepository, get_supabase_client + class ChatRepository(BaseRepository): def __init__(self, session: AsyncSession): @@ -40,7 +40,8 @@ async def get_chat_by_id(self, chat_id: UUID): async def get_chat_history(self, chat_id: UUID) -> Sequence[ChatHistory]: query = ( - select(ChatHistory).where(ChatHistory.chat_id == chat_id) + select(ChatHistory) + .where(ChatHistory.chat_id == chat_id) # TODO: type hints of sqlmodel arent stable for order_by .order_by(ChatHistory.message_time) # type: ignore ) diff --git a/backend/api/quivr_api/modules/chat/tests/test_chats.py b/backend/api/quivr_api/modules/chat/tests/test_chats.py index dc75ef52a540..7ec2842d12d4 100644 --- a/backend/api/quivr_api/modules/chat/tests/test_chats.py +++ b/backend/api/quivr_api/modules/chat/tests/test_chats.py @@ -39,7 +39,6 @@ async def async_engine(): pool_size=10, pool_recycle=0.1, ) - yield engine diff --git a/backend/api/quivr_api/modules/chat_llm_service/chat_llm_service.py b/backend/api/quivr_api/modules/chat_llm_service/chat_llm_service.py index 2dfe0c457080..65606898c55a 100644 --- a/backend/api/quivr_api/modules/chat_llm_service/chat_llm_service.py +++ b/backend/api/quivr_api/modules/chat_llm_service/chat_llm_service.py @@ -23,7 +23,7 @@ from quivr_api.modules.models.service.model_service import ModelService from quivr_api.modules.user.entity.user_identity import UserIdentity from quivr_api.modules.user.service.user_usage import UserUsage -from quivr_api.packages.utils.uuid_generator import generate_uuid_from_string +from quivr_api.utils.uuid_generator import generate_uuid_from_string logger = get_logger(__name__) diff --git a/backend/api/quivr_api/modules/dependencies.py b/backend/api/quivr_api/modules/dependencies.py index 94a6ce767414..a50062be1726 100644 --- a/backend/api/quivr_api/modules/dependencies.py +++ b/backend/api/quivr_api/modules/dependencies.py @@ -1,15 +1,38 @@ import os -from typing import AsyncGenerator, Callable, Generic, Type, TypeVar +from typing import (AsyncGenerator, Callable, Generator, Generic, Optional, + Type, TypeVar) from fastapi import Depends +from langchain.embeddings.base import Embeddings +from langchain_community.embeddings.ollama import OllamaEmbeddings +# from langchain_community.vectorstores.supabase import SupabaseVectorStore +from langchain_openai import OpenAIEmbeddings +from quivr_api.logger import get_logger +from quivr_api.models.databases.supabase.supabase import SupabaseDB +from quivr_api.models.settings import BrainSettings +# from quivr_api.vector.service.vector_service import VectorService +# from quivr_api.vectorstore.supabase import CustomSupabaseVectorStore +from sqlalchemy import Engine, create_engine from sqlalchemy.ext.asyncio import create_async_engine +from sqlmodel import Session from sqlmodel.ext.asyncio.session import AsyncSession +from supabase.client import (AsyncClient, Client, create_async_client, + create_client) -from quivr_api.models.settings import settings +# Global variables to store the Supabase client and database instances +_supabase_client: Optional[Client] = None +_supabase_async_client: Optional[AsyncClient] = None +_supabase_db: Optional[SupabaseDB] = None +_db_engine: Optional[Engine] = None +_embedding_service = None + +settings = BrainSettings() # type: ignore + +logger = get_logger(__name__) class BaseRepository: - def __init__(self, session: AsyncSession): + def __init__(self, session: AsyncSession | Session): self.session = session @@ -30,7 +53,15 @@ def get_repository_cls(cls) -> Type[R]: S = TypeVar("S", bound=BaseService) -# TODO: env variable debug sql_alchemy +sync_engine = create_engine( + settings.pg_database_url, + echo=True if os.getenv("ORM_DEBUG") else False, + future=True, + # NOTE: pessimistic bound on + pool_pre_ping=True, + pool_size=10, # NOTE: no bouncer for now, if 6 process workers => 6 + pool_recycle=1800, +) async_engine = create_async_engine( settings.pg_database_async_url, echo=True if os.getenv("ORM_DEBUG") else False, @@ -42,6 +73,20 @@ def get_repository_cls(cls) -> Type[R]: ) +def get_sync_session() -> Generator[Session, None, None]: + with Session(sync_engine, expire_on_commit=False, autoflush=False) as session: + yield session + + +# def get_documents_vector_store(vector_service: VectorService) -> SupabaseVectorStore: +# embeddings = get_embedding_client() +# supabase_client: Client = get_supabase_client() +# documents_vector_store = CustomSupabaseVectorStore( # Modified by @chloe Check +# supabase_client, embeddings, table_name="vectors", vector_service=vector_service +# ) +# return documents_vector_store + + async def get_async_session() -> AsyncGenerator[AsyncSession, None]: async with AsyncSession( async_engine, expire_on_commit=False, autoflush=False @@ -49,17 +94,77 @@ async def get_async_session() -> AsyncGenerator[AsyncSession, None]: yield session -def get_repository(repository_model: Type[R]) -> Callable[..., R]: +def get_repository(repository_model: Type[R], asynchronous=True) -> Callable[..., R]: def _get_repository(session: AsyncSession = Depends(get_async_session)) -> R: return repository_model(session) - return _get_repository + def _get_sync_repository(session: Session = Depends(get_sync_session)) -> R: + return repository_model(session) + + if asynchronous: + return _get_repository + return _get_sync_repository + + +def get_embedding_client() -> Embeddings: + global _embedding_service + if settings.ollama_api_base_url: + embeddings = OllamaEmbeddings( + base_url=settings.ollama_api_base_url, + ) # pyright: ignore reportPrivateUsage=none + else: + embeddings = OpenAIEmbeddings() # pyright: ignore reportPrivateUsage=none + return embeddings + + +def get_pg_database_engine(): + global _db_engine + if _db_engine is None: + logger.info("Creating Postgres DB engine") + _db_engine = create_engine(settings.pg_database_url, pool_pre_ping=True) + return _db_engine + + +def get_pg_database_async_engine(): + global _db_engine + if _db_engine is None: + logger.info("Creating Postgres DB engine") + _db_engine = create_engine(settings.pg_database_async_url, pool_pre_ping=True) + return _db_engine + + +async def get_supabase_async_client() -> AsyncClient: + global _supabase_async_client + if _supabase_async_client is None: + logger.info("Creating Supabase client") + _supabase_async_client = await create_async_client( + settings.supabase_url, settings.supabase_service_key + ) + return _supabase_async_client + + +def get_supabase_client() -> Client: + global _supabase_client + if _supabase_client is None: + logger.info("Creating Supabase client") + _supabase_client = create_client( + settings.supabase_url, settings.supabase_service_key + ) + return _supabase_client + + +def get_supabase_db() -> SupabaseDB: + global _supabase_db + if _supabase_db is None: + logger.info("Creating Supabase DB") + _supabase_db = SupabaseDB(get_supabase_client()) + return _supabase_db -def get_service(service: Type[S]) -> Callable[..., S]: +def get_service(service: Type[S], asynchronous=True) -> Callable[..., S]: def _get_service( repository: BaseRepository = Depends( - get_repository(service.get_repository_cls()) + get_repository(service.get_repository_cls(), asynchronous) ), ) -> S: return service(repository) diff --git a/backend/api/quivr_api/modules/knowledge/controller/knowledge_routes.py b/backend/api/quivr_api/modules/knowledge/controller/knowledge_routes.py index 7f4120a547bf..68ff0437e656 100644 --- a/backend/api/quivr_api/modules/knowledge/controller/knowledge_routes.py +++ b/backend/api/quivr_api/modules/knowledge/controller/knowledge_routes.py @@ -1,3 +1,4 @@ +from typing import Annotated from uuid import UUID from fastapi import APIRouter, Depends, HTTPException, Query @@ -5,26 +6,29 @@ from quivr_api.middlewares.auth import AuthBearer, get_current_user from quivr_api.modules.brain.entity.brain_entity import RoleEnum from quivr_api.modules.brain.service.brain_authorization_service import ( - has_brain_authorization, - validate_brain_authorization, -) -from quivr_api.modules.brain.service.brain_vector_service import BrainVectorService -from quivr_api.modules.knowledge.service.knowledge_service import KnowledgeService -from quivr_api.modules.upload.service.generate_file_signed_url import ( - generate_file_signed_url, -) + has_brain_authorization, validate_brain_authorization) +from quivr_api.modules.brain.service.brain_vector_service import \ + BrainVectorService +from quivr_api.modules.dependencies import get_service +from quivr_api.modules.knowledge.service.knowledge_service import \ + KnowledgeService +from quivr_api.modules.upload.service.generate_file_signed_url import \ + generate_file_signed_url from quivr_api.modules.user.entity.user_identity import UserIdentity knowledge_router = APIRouter() logger = get_logger(__name__) -knowledge_service = KnowledgeService() +KnowledgeServiceDep = Annotated[ + KnowledgeService, Depends(get_service(KnowledgeService)) +] @knowledge_router.get( "/knowledge", dependencies=[Depends(AuthBearer())], tags=["Knowledge"] ) async def list_knowledge_in_brain_endpoint( + knowledge_service: KnowledgeServiceDep, brain_id: UUID = Query(..., description="The ID of the brain"), current_user: UserIdentity = Depends(get_current_user), ): @@ -34,7 +38,7 @@ async def list_knowledge_in_brain_endpoint( validate_brain_authorization(brain_id=brain_id, user_id=current_user.id) - knowledges = knowledge_service.get_all_knowledge(brain_id) + knowledges = await knowledge_service.get_all_knowledge(brain_id) return {"knowledges": knowledges} @@ -49,6 +53,7 @@ async def list_knowledge_in_brain_endpoint( ) async def delete_endpoint( knowledge_id: UUID, + knowledge_service: KnowledgeServiceDep, current_user: UserIdentity = Depends(get_current_user), brain_id: UUID = Query(..., description="The ID of the brain"), ): @@ -56,9 +61,9 @@ async def delete_endpoint( Delete a specific knowledge from a brain. """ - knowledge = knowledge_service.get_knowledge(knowledge_id) + knowledge = await knowledge_service.get_knowledge(knowledge_id) file_name = knowledge.file_name if knowledge.file_name else knowledge.url - knowledge_service.remove_knowledge(knowledge_id) + await knowledge_service.remove_knowledge(knowledge_id) brain_vector_service = BrainVectorService(brain_id) if knowledge.file_name: @@ -78,13 +83,14 @@ async def delete_endpoint( ) async def generate_signed_url_endpoint( knowledge_id: UUID, + knowledge_service: KnowledgeServiceDep, current_user: UserIdentity = Depends(get_current_user), ): """ Generate a signed url to download the file from storage. """ - knowledge = knowledge_service.get_knowledge(knowledge_id) + knowledge = await knowledge_service.get_knowledge(knowledge_id) validate_brain_authorization(brain_id=knowledge.brain_id, user_id=current_user.id) diff --git a/backend/api/quivr_api/modules/knowledge/dto/inputs.py b/backend/api/quivr_api/modules/knowledge/dto/inputs.py index fed96f8674f7..e7297a850698 100644 --- a/backend/api/quivr_api/modules/knowledge/dto/inputs.py +++ b/backend/api/quivr_api/modules/knowledge/dto/inputs.py @@ -1,5 +1,5 @@ from enum import Enum -from typing import Optional +from typing import Dict, Optional from uuid import UUID from pydantic import BaseModel @@ -15,10 +15,13 @@ class CreateKnowledgeProperties(BaseModel): brain_id: UUID file_name: Optional[str] = None url: Optional[str] = None - extension: str = "txt" - integration: Optional[str] = None - integration_link: Optional[str] = None + mime_type: str = "application/txt" status: KnowledgeStatus = KnowledgeStatus.PROCESSING + source: Optional[str] = None + source_link: Optional[str] = None + file_size: Optional[int] = None + file_sha1: Optional[str] = None + metadata: Optional[Dict[str, str]] = None def dict(self, *args, **kwargs): knowledge_dict = super().dict(*args, **kwargs) diff --git a/backend/api/quivr_api/modules/knowledge/entity/knowledge.py b/backend/api/quivr_api/modules/knowledge/entity/knowledge.py index 6931895573be..ba6455c46e40 100644 --- a/backend/api/quivr_api/modules/knowledge/entity/knowledge.py +++ b/backend/api/quivr_api/modules/knowledge/entity/knowledge.py @@ -1,7 +1,11 @@ -from typing import Optional +from datetime import datetime +from typing import Dict, Optional from uuid import UUID from pydantic import BaseModel +from sqlalchemy import JSON, TIMESTAMP, Column, text +from sqlmodel import UUID as PGUUID +from sqlmodel import Field, SQLModel class Knowledge(BaseModel): @@ -11,5 +15,56 @@ class Knowledge(BaseModel): url: Optional[str] = None extension: str = "txt" status: str - integration: Optional[str] = None - integration_link: Optional[str] = None + source: Optional[str] = None + source_link: Optional[str] = None + file_size: Optional[int] = None + file_sha1: Optional[str] = None + updated_at: Optional[datetime] = None + created_at: Optional[datetime] = None + metadata: Optional[Dict[str, str]] = None + + def dict(self, *args, **kwargs): + knowledge_dict = super().dict(*args, **kwargs) + knowledge_dict["brain_id"] = str(knowledge_dict.get("brain_id")) + return knowledge_dict + + +class KnowledgeDB(SQLModel, table=True): + __tablename__ = "knowledge" # type: ignore + + id: UUID | None = Field( + default=None, + sa_column=Column( + PGUUID, + server_default=text("uuid_generate_v4()"), + primary_key=True, + ), + ) + brain_id: UUID = Field(nullable=False) + file_name: Optional[str] = Field(default=None, max_length=255) + url: Optional[str] = Field(default=None, max_length=2048) + mime_type: str = Field(default="txt", max_length=100) + status: str = Field(max_length=50) + source: str = Field(max_length=255) + source_link: str = Field(max_length=2048) + file_size: Optional[int] = Field(gt=0) # FIXME: Should not be optional @chloedia + file_sha1: Optional[str] = Field( + max_length=40 + ) # FIXME: Should not be optional @chloedia + updated_at: datetime | None = Field( + default=None, + sa_column=Column( + TIMESTAMP(timezone=False), + server_default=text("CURRENT_TIMESTAMP"), + ), + ) + created_at: datetime | None = Field( + default=None, + sa_column=Column( + TIMESTAMP(timezone=False), + server_default=text("CURRENT_TIMESTAMP"), + ), + ) + metadata_: Optional[Dict[str, str]] = Field( + default=None, sa_column=Column("metadata", JSON) + ) diff --git a/backend/api/quivr_api/modules/knowledge/entity/knowledge_brain.py b/backend/api/quivr_api/modules/knowledge/entity/knowledge_brain.py new file mode 100644 index 000000000000..61a042a95b72 --- /dev/null +++ b/backend/api/quivr_api/modules/knowledge/entity/knowledge_brain.py @@ -0,0 +1,31 @@ +from datetime import datetime +from uuid import UUID + +from sqlalchemy import TIMESTAMP, Column, text +from sqlmodel import TIMESTAMP, Column, Field, SQLModel, text +from sqlmodel import UUID as PGUUID + + +class KnowledgeBrain(SQLModel, table=True): + __tablename__ = "knowledge_brain" # type: ignore + + id: UUID | None = Field( + default=None, + sa_column=Column( + PGUUID, + server_default=text("uuid_generate_v4()"), + primary_key=True, + ), + ) + created_at: datetime | None = Field( + default=None, + sa_column=Column( + TIMESTAMP(timezone=False), + server_default=text("CURRENT_TIMESTAMP"), + ), + ) + brain_id: UUID = Field(nullable=False, foreign_key="brains.brain_id") + knowledge_id: UUID = Field(nullable=False, foreign_key="knowledge.id") + + # knowledge: KnowledgeDB| None = Relationship(back_populates="knowledge_brain") # type: ignore + # brain: Brain | None = Relationship(back_populates="knowledge_brain") # type: ignore diff --git a/backend/api/quivr_api/modules/knowledge/repository/knowledge_interface.py b/backend/api/quivr_api/modules/knowledge/repository/knowledge_interface.py index e4054bf5cc12..51f1efbfcf0c 100644 --- a/backend/api/quivr_api/modules/knowledge/repository/knowledge_interface.py +++ b/backend/api/quivr_api/modules/knowledge/repository/knowledge_interface.py @@ -2,17 +2,15 @@ from typing import List from uuid import UUID -from quivr_api.modules.knowledge.dto.inputs import ( - CreateKnowledgeProperties, - KnowledgeStatus, -) +from quivr_api.modules.knowledge.dto.inputs import (CreateKnowledgeProperties, + KnowledgeStatus) from quivr_api.modules.knowledge.dto.outputs import DeleteKnowledgeResponse -from quivr_core.models import QuivrKnowledge as Knowledge +from quivr_api.modules.knowledge.entity.knowledge import KnowledgeDB class KnowledgeInterface(ABC): @abstractmethod - def insert_knowledge(self, knowledge: CreateKnowledgeProperties) -> Knowledge: + def insert_knowledge(self, knowledge: CreateKnowledgeProperties) -> KnowledgeDB: """ Add a knowledge """ @@ -34,7 +32,7 @@ def remove_knowledge_by_id( pass @abstractmethod - def get_knowledge_by_id(self, knowledge_id: UUID) -> Knowledge: + def get_knowledge_by_id(self, knowledge_id: UUID) -> KnowledgeDB: """ Get a knowledge by its id Args: @@ -43,7 +41,7 @@ def get_knowledge_by_id(self, knowledge_id: UUID) -> Knowledge: pass @abstractmethod - def get_all_knowledge_in_brain(self, brain_id: UUID) -> List[Knowledge]: + def get_all_knowledge_in_brain(self, brain_id: UUID) -> List[KnowledgeDB]: """ Get all the knowledge in a brain Args: diff --git a/backend/api/quivr_api/modules/knowledge/repository/knowledges.py b/backend/api/quivr_api/modules/knowledge/repository/knowledges.py index 5666b4283f0d..96b921c49cb8 100644 --- a/backend/api/quivr_api/modules/knowledge/repository/knowledges.py +++ b/backend/api/quivr_api/modules/knowledge/repository/knowledges.py @@ -1,127 +1,133 @@ +from typing import Sequence from uuid import UUID from fastapi import HTTPException -from quivr_api.models.settings import get_supabase_client +from sqlalchemy.exc import IntegrityError +from sqlmodel import select +from sqlmodel.ext.asyncio.session import AsyncSession + +from quivr_api.logger import get_logger +from quivr_api.modules.dependencies import BaseRepository, get_supabase_client from quivr_api.modules.knowledge.dto.inputs import KnowledgeStatus from quivr_api.modules.knowledge.dto.outputs import DeleteKnowledgeResponse -from quivr_api.modules.knowledge.repository.knowledge_interface import ( - KnowledgeInterface, -) -from quivr_core.models import QuivrKnowledge as Knowledge +from quivr_api.modules.knowledge.entity.knowledge import KnowledgeDB +from quivr_api.modules.knowledge.entity.knowledge_brain import KnowledgeBrain + +logger = get_logger(__name__) -class KnowledgeRepository(KnowledgeInterface): - def __init__(self): +class KnowledgeRepository(BaseRepository): + def __init__(self, session: AsyncSession): + self.session = session supabase_client = get_supabase_client() self.db = supabase_client - def insert_knowledge(self, knowledge): - """ - Add a knowledge - """ - # Check if the knowledge already exists - knowledge_exists = ( - self.db.from_("knowledge") - .select("*") - .filter("brain_id", "eq", str(knowledge.brain_id)) - .filter("file_name", "eq", str(knowledge.file_name)) - .execute() - ).data - - if knowledge_exists: - return Knowledge(**knowledge_exists[0]) # TODO fix this - - response = (self.db.from_("knowledge").insert(knowledge.dict()).execute()).data - return Knowledge(**response[0]) - - def remove_knowledge_by_id( - # todo: update remove brain endpoints to first delete the knowledge - self, - knowledge_id, - ): - """ - Args: - knowledge_id (UUID): The id of the knowledge - - Returns: - str: Status message - """ - response = ( - self.db.from_("knowledge") - .delete() - .filter("id", "eq", str(knowledge_id)) - .execute() - .data + async def insert_knowledge(self, knowledge: KnowledgeDB) -> KnowledgeDB: + logger.debug(f"Inserting knowledge {knowledge}") + query = select(KnowledgeDB).where( + KnowledgeDB.brain_id == knowledge.brain_id, + KnowledgeDB.file_name == knowledge.file_name, ) - - if response == []: + result = await self.session.exec(query) + existing_knowledge = result.first() + + try: + if existing_knowledge: + existing_knowledge.source_link = knowledge.source_link + self.session.add(existing_knowledge) + # create link + assert existing_knowledge.id, "Knowledge ID not generated" + knowledge_brain = KnowledgeBrain( + brain_id=existing_knowledge.brain_id, + knowledge_id=existing_knowledge.id, + ) + self.session.add(knowledge_brain) + else: + self.session.add(knowledge) + await self.session.commit() + except IntegrityError: + await self.session.rollback() + raise Exception("Integrity error while creating notion files.") + except Exception as e: + await self.session.rollback() + raise e + return knowledge + + async def remove_knowledge_by_id( + self, knowledge_id: UUID + ) -> DeleteKnowledgeResponse: + query = select(KnowledgeDB).where(KnowledgeDB.id == knowledge_id) + result = await self.session.exec(query) + knowledge = result.first() + + if not knowledge: raise HTTPException(404, "Knowledge not found") + await self.session.delete(knowledge) + await self.session.commit() + return DeleteKnowledgeResponse( - # change to response[0].brain_id and knowledge_id[0].brain_id status="deleted", knowledge_id=knowledge_id, ) - def get_knowledge_by_id(self, knowledge_id): - """ - Get a knowledge by its id - Args: - brain_id (UUID): The id of the brain - """ - knowledge = ( - self.db.from_("knowledge") - .select("*") - .filter("id", "eq", str(knowledge_id)) - .execute() - ).data + async def get_knowledge_by_id(self, knowledge_id: UUID) -> KnowledgeDB: + query = select(KnowledgeDB).where(KnowledgeDB.id == knowledge_id) + result = await self.session.exec(query) + knowledge = result.first() - return Knowledge(**knowledge[0]) + if not knowledge: + raise HTTPException(404, "Knowledge not found") - def get_all_knowledge_in_brain(self, brain_id: UUID) -> list[Knowledge]: - """ - Get all the knowledge in a brain - Args: - brain_id (UUID): The id of the brain - """ - all_knowledge = ( - self.db.from_("knowledge") - .select("*") - .filter("brain_id", "eq", str(brain_id)) - .execute() - ).data + return knowledge - return [Knowledge(**knowledge) for knowledge in all_knowledge] + async def get_all_knowledge_in_brain(self, brain_id: UUID) -> Sequence[KnowledgeDB]: + query = select(KnowledgeDB).where(KnowledgeDB.brain_id == brain_id) + result = await self.session.exec(query) + return result.all() - def remove_brain_all_knowledge(self, brain_id): + async def remove_brain_all_knowledge(self, brain_id) -> int: """ Remove all knowledge in a brain Args: brain_id (UUID): The id of the brain """ - all_knowledge = self.get_all_knowledge_in_brain(brain_id) - knowledge_to_delete_list = [] - - for knowledge in all_knowledge: - if knowledge.file_name: - knowledge_to_delete_list.append(f"{brain_id}/{knowledge.file_name}") + all_knowledge = await self.get_all_knowledge_in_brain(brain_id) + knowledge_to_delete_list = [ + knowledge.source_link + for knowledge in all_knowledge + if knowledge.source == "local" + ] if knowledge_to_delete_list: + # FIXME: Can we bypass db ? @Amine self.db.storage.from_("quivr").remove(knowledge_to_delete_list) - self.db.from_("knowledge").delete().filter( - "brain_id", "eq", str(brain_id) - ).execute() - - def update_status_knowledge(self, knowledge_id: UUID, status: KnowledgeStatus): - """ - Update the status of a knowledge - """ - updated_knowledge = ( - self.db.from_("knowledge") - .update({"status": status}) - .filter("id", "eq", str(knowledge_id)) - .execute() - ).data - - return True + select_query = select(KnowledgeDB).where(KnowledgeDB.brain_id == brain_id) + items_to_delete = await self.session.exec(select_query) + for item in items_to_delete: + await self.session.delete(item) + await self.session.commit() + return len(knowledge_to_delete_list) + + async def update_status_knowledge( + self, knowledge_id: UUID, status: KnowledgeStatus + ) -> KnowledgeDB | None: + query = select(KnowledgeDB).where(KnowledgeDB.id == knowledge_id) + result = await self.session.exec(query) + knowledge = result.first() + + if not knowledge: + return None + + knowledge.status = status + self.session.add(knowledge) + await self.session.commit() + await self.session.refresh(knowledge) + + return knowledge + + async def get_all_knowledge(self) -> Sequence[KnowledgeDB]: + query = select(KnowledgeDB) + result = await self.session.exec(query) + return result.all() diff --git a/backend/api/quivr_api/modules/knowledge/repository/storage.py b/backend/api/quivr_api/modules/knowledge/repository/storage.py index a27df49fd996..58ff0101d2b6 100644 --- a/backend/api/quivr_api/modules/knowledge/repository/storage.py +++ b/backend/api/quivr_api/modules/knowledge/repository/storage.py @@ -1,5 +1,5 @@ from quivr_api.logger import get_logger -from quivr_api.models.settings import get_supabase_client +from quivr_api.modules.dependencies import get_supabase_client from quivr_api.modules.knowledge.repository.storage_interface import StorageInterface logger = get_logger(__name__) diff --git a/backend/api/quivr_api/modules/knowledge/service/knowledge_service.py b/backend/api/quivr_api/modules/knowledge/service/knowledge_service.py index 8aa034a63bf2..453020c83928 100644 --- a/backend/api/quivr_api/modules/knowledge/service/knowledge_service.py +++ b/backend/api/quivr_api/modules/knowledge/service/knowledge_service.py @@ -1,53 +1,132 @@ +from typing import List from uuid import UUID +from quivr_core.models import QuivrKnowledge as Knowledge + from quivr_api.logger import get_logger +from quivr_api.modules.dependencies import BaseService from quivr_api.modules.knowledge.dto.inputs import ( CreateKnowledgeProperties, KnowledgeStatus, ) -from quivr_api.modules.knowledge.repository.knowledge_interface import ( - KnowledgeInterface, -) +from quivr_api.modules.knowledge.dto.outputs import DeleteKnowledgeResponse +from quivr_api.modules.knowledge.entity.knowledge import KnowledgeDB from quivr_api.modules.knowledge.repository.knowledges import KnowledgeRepository -from quivr_core.models import QuivrKnowledge as Knowledge logger = get_logger(__name__) -class KnowledgeService: - repository: KnowledgeInterface +class KnowledgeService(BaseService[KnowledgeRepository]): + repository_cls = KnowledgeRepository - def __init__(self): - self.repository = KnowledgeRepository() + def __init__(self, repository: KnowledgeRepository): + self.repository = repository - def add_knowledge(self, knowledge_to_add: CreateKnowledgeProperties): - knowledge = self.repository.insert_knowledge(knowledge_to_add) + async def add_knowledge( + self, knowledge_to_add: CreateKnowledgeProperties + ) -> Knowledge: + knowledge_data = knowledge_to_add.dict() + knowledge = KnowledgeDB(**knowledge_data) - return knowledge + inserted_knowledge_db_instance = await self.repository.insert_knowledge( + knowledge + ) - def get_all_knowledge(self, brain_id: UUID): - knowledges = self.repository.get_all_knowledge_in_brain(brain_id) + assert inserted_knowledge_db_instance.id, "Knowledge ID not generated" + if inserted_knowledge_db_instance.source == "local": + source_link = f"s3://quivr/{inserted_knowledge_db_instance.brain_id}/{inserted_knowledge_db_instance.id}" + inserted_knowledge_db_instance.source_link = source_link + + inserted_knowledge = await self.repository.insert_knowledge( + inserted_knowledge_db_instance + ) + + inserted_knowledge = Knowledge( + id=inserted_knowledge_db_instance.id, + brain_id=inserted_knowledge_db_instance.brain_id, + file_name=inserted_knowledge_db_instance.file_name, + url=inserted_knowledge_db_instance.url, + mime_type=inserted_knowledge_db_instance.mime_type, + status=KnowledgeStatus(inserted_knowledge_db_instance.status), + source=inserted_knowledge_db_instance.source, + source_link=inserted_knowledge_db_instance.source_link, + file_size=inserted_knowledge_db_instance.file_size, + file_sha1=inserted_knowledge_db_instance.file_sha1, + updated_at=inserted_knowledge_db_instance.updated_at, + created_at=inserted_knowledge_db_instance.created_at, + metadata=inserted_knowledge_db_instance.metadata_, # type: ignore + ) + return inserted_knowledge + + async def get_all_knowledge(self, brain_id: UUID) -> List[Knowledge]: + knowledges_models = await self.repository.get_all_knowledge_in_brain(brain_id) + + knowledges = [ + Knowledge( + id=knowledge.id, # type: ignore + brain_id=knowledge.brain_id, + file_name=knowledge.file_name, + url=knowledge.url, + mime_type=knowledge.mime_type, + status=KnowledgeStatus(knowledge.status), + source=knowledge.source, + source_link=knowledge.source_link, + file_size=knowledge.file_size + if knowledge.file_size + else 0, # FIXME: Should not be optional @chloedia + file_sha1=knowledge.file_sha1 + if knowledge.file_sha1 + else "", # FIXME: Should not be optional @chloedia + updated_at=knowledge.updated_at, + created_at=knowledge.created_at, + metadata=knowledge.metadata_, # type: ignore + ) + for knowledge in knowledges_models + ] return knowledges - def update_status_knowledge(self, knowledge_id: UUID, status: KnowledgeStatus): - knowledge = self.repository.update_status_knowledge(knowledge_id, status) + async def update_status_knowledge( + self, knowledge_id: UUID, status: KnowledgeStatus + ): + knowledge = await self.repository.update_status_knowledge(knowledge_id, status) return knowledge - def get_knowledge(self, knowledge_id: UUID) -> Knowledge: - knowledge = self.repository.get_knowledge_by_id(knowledge_id) + async def get_knowledge(self, knowledge_id: UUID) -> Knowledge: + inserted_knowledge_db_instance = await self.repository.get_knowledge_by_id( + knowledge_id + ) - return knowledge + assert inserted_knowledge_db_instance.id, "Knowledge ID not generated" + + inserted_knowledge = Knowledge( + id=inserted_knowledge_db_instance.id, + brain_id=inserted_knowledge_db_instance.brain_id, + file_name=inserted_knowledge_db_instance.file_name, + url=inserted_knowledge_db_instance.url, + mime_type=inserted_knowledge_db_instance.mime_type, + status=KnowledgeStatus(inserted_knowledge_db_instance.status), + source=inserted_knowledge_db_instance.source, + source_link=inserted_knowledge_db_instance.source_link, + file_size=inserted_knowledge_db_instance.file_size, + file_sha1=inserted_knowledge_db_instance.file_sha1 + if inserted_knowledge_db_instance.file_sha1 + else "", # FIXME: Should not be optional @chloedia + updated_at=inserted_knowledge_db_instance.updated_at, + created_at=inserted_knowledge_db_instance.created_at, + metadata=inserted_knowledge_db_instance.metadata_, # type: ignore + ) + return inserted_knowledge - def remove_brain_all_knowledge(self, brain_id: UUID) -> None: - self.repository.remove_brain_all_knowledge(brain_id) + async def remove_brain_all_knowledge(self, brain_id: UUID) -> None: + await self.repository.remove_brain_all_knowledge(brain_id) logger.info( f"All knowledge in brain {brain_id} removed successfully from table" ) - def remove_knowledge(self, knowledge_id: UUID): - message = self.repository.remove_knowledge_by_id(knowledge_id) + async def remove_knowledge(self, knowledge_id: UUID) -> DeleteKnowledgeResponse: + message = await self.repository.remove_knowledge_by_id(knowledge_id) return message diff --git a/backend/api/quivr_api/modules/models/repository/model.py b/backend/api/quivr_api/modules/models/repository/model.py index ddb24c0747bc..ff9792b5f3fd 100644 --- a/backend/api/quivr_api/modules/models/repository/model.py +++ b/backend/api/quivr_api/modules/models/repository/model.py @@ -3,8 +3,7 @@ from sqlmodel import select from sqlmodel.ext.asyncio.session import AsyncSession -from quivr_api.models.settings import get_supabase_client -from quivr_api.modules.dependencies import BaseRepository +from quivr_api.modules.dependencies import BaseRepository, get_supabase_client from quivr_api.modules.models.entity.model import Model diff --git a/backend/api/quivr_api/modules/models/tests/conftest.py b/backend/api/quivr_api/modules/models/tests/conftest.py new file mode 100644 index 000000000000..1c4050fd7705 --- /dev/null +++ b/backend/api/quivr_api/modules/models/tests/conftest.py @@ -0,0 +1,88 @@ +import asyncio +import os +from typing import Tuple + +import pytest +import pytest_asyncio +import sqlalchemy +from sqlalchemy.ext.asyncio import create_async_engine +from sqlmodel import select +from sqlmodel.ext.asyncio.session import AsyncSession + +from quivr_api.modules.models.entity.model import Model +from quivr_api.modules.user.entity.user_identity import User + +pg_database_base_url = "postgres:postgres@localhost:54322/postgres" + +TestData = Tuple[Model, Model, User] + + +@pytest.fixture(scope="session") +def event_loop(request: pytest.FixtureRequest): + loop = asyncio.get_event_loop_policy().new_event_loop() + yield loop + loop.close() + + +@pytest_asyncio.fixture(scope="session") +async def async_engine(): + engine = create_async_engine( + "postgresql+asyncpg://" + pg_database_base_url, + echo=True if os.getenv("ORM_DEBUG") else False, + future=True, + pool_pre_ping=True, + pool_size=10, + pool_recycle=0.1, + ) + yield engine + + +@pytest_asyncio.fixture() +async def session(async_engine): + async with async_engine.connect() as conn: + await conn.begin() + await conn.begin_nested() + async_session = AsyncSession(conn, expire_on_commit=False) + + @sqlalchemy.event.listens_for( + async_session.sync_session, "after_transaction_end" + ) + def end_savepoint(session, transaction): + if conn.closed: + return + if not conn.in_nested_transaction(): + conn.sync_connection.begin_nested() + + yield async_session + + +@pytest_asyncio.fixture() +async def test_data( + session: AsyncSession, +) -> TestData: + # User data + user_1 = ( + await session.exec(select(User).where(User.email == "admin@quivr.app")) + ).one() + + model_1 = Model( + name="this-is-a-fake-model", price=1, max_input=4000, max_output=2000 + ) + model_2 = Model( + name="this-is-another-fake-model", price=5, max_input=8000, max_output=4000 + ) + + session.add(model_1) + session.add(model_2) + + await session.refresh(user_1) + await session.commit() + return model_1, model_2, user_1 + + +@pytest_asyncio.fixture() +async def sample_models(): + return [ + Model(name="gpt-3.5-turbo", price=1, max_input=4000, max_output=2000), + Model(name="gpt-4", price=5, max_input=8000, max_output=4000), + ] diff --git a/backend/api/quivr_api/modules/models/tests/test_models.py b/backend/api/quivr_api/modules/models/tests/test_models.py index 7ec8467ca57a..c34c4d794166 100644 --- a/backend/api/quivr_api/modules/models/tests/test_models.py +++ b/backend/api/quivr_api/modules/models/tests/test_models.py @@ -1,14 +1,6 @@ import pytest -import pytest_asyncio -from quivr_api.modules.models.entity.model import Model - -@pytest_asyncio.fixture() -async def sample_models(): - return [ - Model(name="gpt-3.5-turbo", price=1, max_input=4000, max_output=2000), - Model(name="gpt-4", price=5, max_input=8000, max_output=4000), - ] +from quivr_api.modules.models.entity.model import Model @pytest.mark.asyncio @@ -21,8 +13,8 @@ async def test_model_creation(): @pytest.mark.asyncio -async def test_model_attributes(sample_models): - model = sample_models[0] +async def test_model_attributes(test_data): + model = test_data[0] assert hasattr(model, "name") assert hasattr(model, "price") assert hasattr(model, "max_input") @@ -66,5 +58,8 @@ async def test_model_dict_representation(): "price": 2, "max_input": 3000, "max_output": 1500, + "description": "", + "image_url": "", + "display_name": "", } assert model.dict() == expected_dict diff --git a/backend/api/quivr_api/modules/models/tests/test_models_service.py b/backend/api/quivr_api/modules/models/tests/test_models_service.py new file mode 100644 index 000000000000..a8e2e32181e8 --- /dev/null +++ b/backend/api/quivr_api/modules/models/tests/test_models_service.py @@ -0,0 +1,32 @@ +import pytest + +from quivr_api.modules.models.repository.model import ModelRepository +from quivr_api.modules.models.service.model_service import ModelService + + +@pytest.mark.asyncio +async def test_service_get_chat_models(session): + repo = ModelRepository(session) + service = ModelService(repo) + models = await service.get_models() + assert len(models) >= 1 + + +@pytest.mark.asyncio +async def test_service_get_non_existing_chat_model(session): + repo = ModelRepository(session) + service = ModelService(repo) + model = await service.get_model("gpt-3.5-turbo") + assert model is None + + +@pytest.mark.asyncio +async def test_service_get_existing_chat_model(session): + repo = ModelRepository(session) + service = ModelService(repo) + models = await service.get_models() + assert len(models) >= 1 + model = models[0] + model_get = await service.get_model(model.name) + assert model_get is not None + assert model_get == model diff --git a/backend/api/quivr_api/modules/notification/dto/inputs.py b/backend/api/quivr_api/modules/notification/dto/inputs.py index d3686ecfd361..b2c68dc8e6f3 100644 --- a/backend/api/quivr_api/modules/notification/dto/inputs.py +++ b/backend/api/quivr_api/modules/notification/dto/inputs.py @@ -1,8 +1,8 @@ from typing import Optional from uuid import UUID -from venv import logger from pydantic import BaseModel + from quivr_api.logger import get_logger from quivr_api.modules.notification.entity.notification import NotificationsStatusEnum diff --git a/backend/api/quivr_api/modules/notification/service/notification_service.py b/backend/api/quivr_api/modules/notification/service/notification_service.py index 2de0f630a1e3..6a6070bbe3a8 100644 --- a/backend/api/quivr_api/modules/notification/service/notification_service.py +++ b/backend/api/quivr_api/modules/notification/service/notification_service.py @@ -1,4 +1,4 @@ -from quivr_api.models.settings import get_supabase_client +from quivr_api.modules.dependencies import get_supabase_client from quivr_api.modules.notification.dto.inputs import ( CreateNotification, NotificationUpdatableProperties, diff --git a/backend/api/quivr_api/modules/prompt/repository/prompts.py b/backend/api/quivr_api/modules/prompt/repository/prompts.py index 8d9e2cd9401f..dc04a36bbc2d 100644 --- a/backend/api/quivr_api/modules/prompt/repository/prompts.py +++ b/backend/api/quivr_api/modules/prompt/repository/prompts.py @@ -1,5 +1,6 @@ from fastapi import HTTPException -from quivr_api.models.settings import get_supabase_client + +from quivr_api.modules.dependencies import get_supabase_client from quivr_api.modules.prompt.entity.prompt import Prompt from quivr_api.modules.prompt.repository.prompts_interface import ( DeletePromptResponse, diff --git a/backend/api/quivr_api/modules/prompt/service/prompt_service.py b/backend/api/quivr_api/modules/prompt/service/prompt_service.py index aee4ecfc6695..3bbd1158f6ca 100644 --- a/backend/api/quivr_api/modules/prompt/service/prompt_service.py +++ b/backend/api/quivr_api/modules/prompt/service/prompt_service.py @@ -1,7 +1,7 @@ from typing import List from uuid import UUID -from quivr_api.models.settings import get_supabase_client +from quivr_api.modules.dependencies import get_supabase_client from quivr_api.modules.prompt.entity.prompt import ( CreatePromptProperties, DeletePromptResponse, diff --git a/backend/api/quivr_api/modules/rag_service/rag_service.py b/backend/api/quivr_api/modules/rag_service/rag_service.py index 2c790f09e952..e3cfe320cc87 100644 --- a/backend/api/quivr_api/modules/rag_service/rag_service.py +++ b/backend/api/quivr_api/modules/rag_service/rag_service.py @@ -1,30 +1,39 @@ import datetime from uuid import UUID, uuid4 +from quivr_core.chat import ChatHistory as ChatHistoryCore +from quivr_core.config import LLMEndpointConfig, RAGConfig +from quivr_core.llm.llm_endpoint import LLMEndpoint +from quivr_core.models import ParsedRAGResponse, RAGResponseMetadata +from quivr_core.quivr_rag import QuivrQARAG + from quivr_api.logger import get_logger -from quivr_api.models.settings import (get_embedding_client, - get_supabase_client, settings) +from quivr_api.models.settings import settings from quivr_api.modules.brain.entity.brain_entity import BrainEntity from quivr_api.modules.brain.service.brain_service import BrainService -from quivr_api.modules.brain.service.utils.format_chat_history import \ - format_chat_history +from quivr_api.modules.brain.service.utils.format_chat_history import ( + format_chat_history, +) from quivr_api.modules.chat.controller.chat.utils import ( - compute_cost, find_model_and_generate_metadata, update_user_usage) + compute_cost, + find_model_and_generate_metadata, + update_user_usage, +) from quivr_api.modules.chat.dto.inputs import CreateChatHistory from quivr_api.modules.chat.dto.outputs import GetChatHistoryOutput from quivr_api.modules.chat.service.chat_service import ChatService -from quivr_api.modules.knowledge.repository.knowledges import \ - KnowledgeRepository +from quivr_api.modules.dependencies import ( + get_embedding_client, + get_supabase_client, + settings, +) +from quivr_api.modules.knowledge.service.knowledge_service import KnowledgeService from quivr_api.modules.prompt.entity.prompt import Prompt from quivr_api.modules.prompt.service.prompt_service import PromptService from quivr_api.modules.user.entity.user_identity import UserIdentity from quivr_api.modules.user.service.user_usage import UserUsage +from quivr_api.vector.service.vector_service import VectorService from quivr_api.vectorstore.supabase import CustomSupabaseVectorStore -from quivr_core.chat import ChatHistory as ChatHistoryCore -from quivr_core.config import LLMEndpointConfig, RAGConfig -from quivr_core.llm.llm_endpoint import LLMEndpoint -from quivr_core.models import ParsedRAGResponse, RAGResponseMetadata -from quivr_core.quivr_rag import QuivrQARAG from .utils import generate_source @@ -40,13 +49,15 @@ def __init__( brain_service: BrainService, prompt_service: PromptService, chat_service: ChatService, - knowledge_service: KnowledgeRepository, + knowledge_service: KnowledgeService, + vector_service: VectorService, ): # Services self.brain_service = brain_service self.prompt_service = prompt_service self.chat_service = chat_service self.knowledge_service = knowledge_service + self.vector_service = vector_service # Base models self.current_user = current_user @@ -159,6 +170,7 @@ def create_vector_store( table_name="vectors", brain_id=brain_id, max_input=max_input, + vector_service=self.vector_service, ) def save_answer(self, question: str, answer: ParsedRAGResponse): @@ -187,9 +199,7 @@ async def generate_answer( logger.debug(f"generate_answer with config : {rag_config.model_dump()}") history = await self.chat_service.get_chat_history(self.chat_id) # Get list of files - list_files = self.knowledge_service.get_all_knowledge_in_brain( - self.brain.brain_id - ) + list_files = await self.knowledge_service.get_all_knowledge(self.brain.brain_id) # Build RAG dependencies to inject vector_store = self.create_vector_store( self.brain.brain_id, rag_config.llm_config.max_input @@ -241,10 +251,7 @@ async def generate_answer_stream( chat_history = self._build_chat_history(history) # Get list of files urls - # TODO: Why do we get ALL the files ? - list_files = self.knowledge_service.get_all_knowledge_in_brain( - self.brain.brain_id - ) + list_files = await self.knowledge_service.get_all_knowledge(self.brain.brain_id) llm = self.get_llm(rag_config) vector_store = self.create_vector_store( self.brain.brain_id, rag_config.llm_config.max_input diff --git a/backend/api/quivr_api/modules/sync/controller/dropbox_sync_routes.py b/backend/api/quivr_api/modules/sync/controller/dropbox_sync_routes.py index d2706cadec24..83fa52fee132 100644 --- a/backend/api/quivr_api/modules/sync/controller/dropbox_sync_routes.py +++ b/backend/api/quivr_api/modules/sync/controller/dropbox_sync_routes.py @@ -1,8 +1,10 @@ import os +from uuid import UUID from dropbox import Dropbox, DropboxOAuth2Flow from fastapi import APIRouter, Depends, HTTPException, Request from fastapi.responses import HTMLResponse + from quivr_api.logger import get_logger from quivr_api.middlewares.auth import AuthBearer, get_current_user from quivr_api.modules.sync.dto.inputs import SyncsUserInput, SyncUserUpdateInput @@ -98,22 +100,21 @@ def oauth2callback_dropbox(request: Request): state = state.split("|")[1] if "|" in state else state # type: ignore state_dict = {"state": state} state_split = state.split(",") # type: ignore - current_user = state_split[0].split("=")[1] if state else None - name = state_split[1].split("=")[1] if state else None + current_user = UUID(state_split[0].split("=")[1]) if state else None logger.debug( f"Handling OAuth2 callback for user: {current_user} with state: {state} and state_dict: {state_dict}" ) sync_user_state = sync_user_service.get_sync_user_by_state(state_dict) - if not sync_user_state or state_dict != sync_user_state.get("state"): + if not sync_user_state or state_dict != sync_user_state.state: logger.error("Invalid state parameter") raise HTTPException(status_code=400, detail="Invalid state parameter") else: logger.info( - f"CURRENT USER: {current_user}, SYNC USER STATE USER: {sync_user_state.get('user_id')}" + f"CURRENT USER: {current_user}, SYNC USER STATE USER: {sync_user_state.user_id}" ) - if sync_user_state.get("user_id") != current_user: + if sync_user_state.user_id != current_user: raise HTTPException(status_code=400, detail="Invalid user") auth_flow = DropboxOAuth2Flow( @@ -149,9 +150,7 @@ def oauth2callback_dropbox(request: Request): state={}, email=user_email, ) - sync_user_service.update_sync_user( - str(current_user), state_dict, sync_user_input - ) + sync_user_service.update_sync_user(current_user, state_dict, sync_user_input) logger.info(f"DropBox sync created successfully for user: {current_user}") return HTMLResponse(successfullConnectionPage) except Exception as e: diff --git a/backend/api/quivr_api/modules/sync/controller/google_sync_routes.py b/backend/api/quivr_api/modules/sync/controller/google_sync_routes.py index 5c885fd17c49..c9b5b3bf478c 100644 --- a/backend/api/quivr_api/modules/sync/controller/google_sync_routes.py +++ b/backend/api/quivr_api/modules/sync/controller/google_sync_routes.py @@ -1,10 +1,12 @@ import json import os +from uuid import UUID from fastapi import APIRouter, Depends, HTTPException, Request from fastapi.responses import HTMLResponse from google_auth_oauthlib.flow import Flow from googleapiclient.discovery import build + from quivr_api.logger import get_logger from quivr_api.middlewares.auth import AuthBearer, get_current_user from quivr_api.modules.sync.dto.inputs import SyncsUserInput, SyncUserUpdateInput @@ -119,18 +121,18 @@ def oauth2callback_google(request: Request): state_dict = {"state": state} logger.info(f"State: {state}") state_split = state.split(",") - current_user = state_split[0].split("=")[1] if state else None - name = state_split[1].split("=")[1] if state else None + current_user = UUID(state_split[0].split("=")[1]) if state else None + assert current_user, f"oauth2callback_googl empty current_user in {request}" logger.debug( f"Handling OAuth2 callback for user: {current_user} with state: {state}" ) sync_user_state = sync_user_service.get_sync_user_by_state(state_dict) logger.info(f"Retrieved sync user state: {sync_user_state}") - if not sync_user_state or state_dict != sync_user_state.get("state"): + if not sync_user_state or state_dict != sync_user_state.state: logger.error("Invalid state parameter") raise HTTPException(status_code=400, detail="Invalid state parameter") - if sync_user_state.get("user_id") != current_user: + if sync_user_state.user_id != current_user: logger.error("Invalid user") logger.info(f"Invalid user: {current_user}") raise HTTPException(status_code=400, detail="Invalid user") diff --git a/backend/api/quivr_api/modules/sync/controller/notion_sync_routes.py b/backend/api/quivr_api/modules/sync/controller/notion_sync_routes.py new file mode 100644 index 000000000000..1cc8b2b9fe78 --- /dev/null +++ b/backend/api/quivr_api/modules/sync/controller/notion_sync_routes.py @@ -0,0 +1,162 @@ +import base64 +import os +from uuid import UUID + +import requests +from fastapi import APIRouter, BackgroundTasks, Depends, HTTPException, Request +from fastapi.responses import HTMLResponse +from notion_client import Client + +from quivr_api.celery_config import celery +from quivr_api.logger import get_logger +from quivr_api.middlewares.auth import AuthBearer, get_current_user +from quivr_api.modules.sync.dto.inputs import SyncsUserInput, SyncUserUpdateInput +from quivr_api.modules.sync.service.sync_service import SyncService, SyncUserService +from quivr_api.modules.user.entity.user_identity import UserIdentity + +from .successfull_connection import successfullConnectionPage + +NOTION_CLIENT_ID = os.getenv("NOTION_CLIENT_ID") +NOTION_CLIENT_SECRET = os.getenv("NOTION_CLIENT_SECRET") +NOTION_AUTH_URL = os.getenv("NOTION_AUTH_URL") +BACKEND_URL = os.getenv("BACKEND_URL", "http://localhost:5050") +BASE_REDIRECT_URI = f"{BACKEND_URL}/sync/notion/oauth2callback" +SCOPE = "users.read,databases.read,databases.write,blocks.read,blocks.write" + + +# Initialize sync service +sync_service = SyncService() +sync_user_service = SyncUserService() + +logger = get_logger(__name__) + +# Initialize API router +notion_sync_router = APIRouter() + + +@notion_sync_router.post( + "/sync/notion/authorize", + dependencies=[Depends(AuthBearer())], + tags=["Sync"], +) +def authorize_notion( + request: Request, name: str, current_user: UserIdentity = Depends(get_current_user) +): + """ + Authorize Notion sync for the current user. + + Args: + request (Request): The request object. + current_user (UserIdentity): The current authenticated user. + + Returns: + dict: A dictionary containing the authorization URL. + """ + logger.debug(f"Authorizing Notion sync for user: {current_user.id}, name : {name}") + state: str = f"user_id={current_user.id}, name={name}" + authorize_url = str(NOTION_AUTH_URL) + f"&state={state}" + + logger.info( + f"Generated authorization URL: {authorize_url} for user: {current_user.id}" + ) + sync_user_input = SyncsUserInput( + name=name, + user_id=str(current_user.id), + provider="Notion", + credentials={}, + state={"state": state}, + ) + sync_user_service.create_sync_user(sync_user_input) + return {"authorization_url": authorize_url} + + +@notion_sync_router.get("/sync/notion/oauth2callback", tags=["Sync"]) +def oauth2callback_notion(request: Request, background_tasks: BackgroundTasks): + """ + Handle OAuth2 callback from Notion. + + Args: + request (Request): The request object. + + Returns: + dict: A dictionary containing a success message. + """ + code = request.query_params.get("code") + state = request.query_params.get("state") + if not state: + raise HTTPException(status_code=400, detail="Invalid state parameter") + + state_dict = {"state": state} + state_split = state.split(",") # type: ignore + current_user = UUID(state_split[0].split("=")[1]) if state else None + assert current_user, "Oauth callback user is None" + logger.debug( + f"Handling OAuth2 callback for user: {current_user} with state: {state} and state_dict: {state_dict}" + ) + sync_user_state = sync_user_service.get_sync_user_by_state(state_dict) + + if not sync_user_state or state_dict != sync_user_state.state: + logger.error(f"Invalid state parameter for {sync_user_state}") + raise HTTPException(status_code=400, detail="Invalid state parameter") + else: + logger.info( + f"Current user: {current_user}, sync user state: {sync_user_state.state}" + ) + + if sync_user_state.user_id != current_user: + raise HTTPException(status_code=400, detail="Invalid user") + + try: + token_url = "https://api.notion.com/v1/oauth/token" + client_credentials = f"{NOTION_CLIENT_ID}:{NOTION_CLIENT_SECRET}" + encoded_credentials = base64.b64encode(client_credentials.encode()).decode() + + headers = { + "Authorization": f"Basic {encoded_credentials}", + "Content-Type": "application/json", + } + + token_data = { + "grant_type": "authorization_code", + "code": code, + "redirect_uri": BASE_REDIRECT_URI, + } + logger.debug(f"Requesting token with data: {token_data}") + + response = requests.post(token_url, headers=headers, json=token_data) + oauth_result = response.json() + access_token = oauth_result["access_token"] + + notion = Client(auth=access_token) + + # Get account information + user_info = notion.users.me() + + owner_info = user_info["bot"]["owner"]["user"] # type: ignore + user_email = owner_info["person"]["email"] + account_id = owner_info["id"] + + result: dict[str, str] = { + "access_token": access_token, + "refresh_token": oauth_result.get("refresh_token", ""), + "account_id": account_id, + "expires_in": oauth_result.get("expires_in", ""), + } + + sync_user_input = SyncUserUpdateInput( + credentials=result, + state={}, + email=user_email, + ) + sync_user_service.update_sync_user(current_user, state_dict, sync_user_input) + logger.info(f"Notion sync created successfully for user: {current_user}") + # launch celery task to sync notion data + celery.send_task( + "fetch_and_store_notion_files_task", + kwargs={"access_token": access_token, "user_id": current_user}, + ) + return HTMLResponse(successfullConnectionPage) + + except Exception as e: + logger.error(f"Error: {e}") + raise HTTPException(status_code=400, detail="Invalid user") diff --git a/backend/api/quivr_api/modules/sync/controller/sync_routes.py b/backend/api/quivr_api/modules/sync/controller/sync_routes.py index 5be82f5edcac..18734992f692 100644 --- a/backend/api/quivr_api/modules/sync/controller/sync_routes.py +++ b/backend/api/quivr_api/modules/sync/controller/sync_routes.py @@ -1,11 +1,13 @@ import os import uuid -from typing import List +from typing import Annotated, List -from fastapi import APIRouter, Depends, status +from fastapi import APIRouter, Depends, HTTPException, status +from quivr_api.celery_config import celery from quivr_api.logger import get_logger from quivr_api.middlewares.auth import AuthBearer, get_current_user +from quivr_api.modules.dependencies import get_service from quivr_api.modules.notification.dto.inputs import CreateNotification from quivr_api.modules.notification.entity.notification import NotificationsStatusEnum from quivr_api.modules.notification.service.notification_service import ( @@ -15,10 +17,12 @@ from quivr_api.modules.sync.controller.dropbox_sync_routes import dropbox_sync_router from quivr_api.modules.sync.controller.github_sync_routes import github_sync_router from quivr_api.modules.sync.controller.google_sync_routes import google_sync_router +from quivr_api.modules.sync.controller.notion_sync_routes import notion_sync_router from quivr_api.modules.sync.dto import SyncsDescription from quivr_api.modules.sync.dto.inputs import SyncsActiveInput, SyncsActiveUpdateInput from quivr_api.modules.sync.dto.outputs import AuthMethodEnum -from quivr_api.modules.sync.entity.sync import SyncsActive +from quivr_api.modules.sync.entity.sync_models import SyncsActive +from quivr_api.modules.sync.service.sync_notion import SyncNotionService from quivr_api.modules.sync.service.sync_service import SyncService, SyncUserService from quivr_api.modules.user.entity.user_identity import UserIdentity @@ -33,6 +37,8 @@ # Initialize sync service sync_service = SyncService() sync_user_service = SyncUserService() +NotionServiceDep = Annotated[SyncNotionService, Depends(get_service(SyncNotionService))] + # Initialize API router sync_router = APIRouter() @@ -42,6 +48,7 @@ sync_router.include_router(azure_sync_router) sync_router.include_router(github_sync_router) sync_router.include_router(dropbox_sync_router) +sync_router.include_router(notion_sync_router) # Google sync description @@ -63,6 +70,12 @@ auth_method=AuthMethodEnum.URI_WITH_CALLBACK, ) +notion_sync = SyncsDescription( + name="Notion", + description="Sync your Notion with Quivr", + auth_method=AuthMethodEnum.URI_WITH_CALLBACK, +) + github_sync = SyncsDescription( name="GitHub", description="Sync your GitHub Drive with Quivr", @@ -87,7 +100,7 @@ async def get_syncs(current_user: UserIdentity = Depends(get_current_user)): List[SyncsDescription]: A list of available sync descriptions. """ logger.debug(f"Fetching all sync descriptions for user: {current_user.id}") - return [google_sync, azure_sync, dropbox_sync] + return [google_sync, azure_sync, dropbox_sync, notion_sync] @sync_router.get( @@ -106,7 +119,7 @@ async def get_user_syncs(current_user: UserIdentity = Depends(get_current_user)) List: A list of syncs for the user. """ logger.debug(f"Fetching user syncs for user: {current_user.id}") - return sync_user_service.get_syncs_user(str(current_user.id)) + return sync_user_service.get_syncs_user(current_user.id) @sync_router.delete( @@ -131,7 +144,7 @@ async def delete_user_sync( logger.debug( f"Deleting user sync for user: {current_user.id} with sync ID: {sync_id}" ) - sync_user_service.delete_sync_user(sync_id, str(current_user.id)) + sync_user_service.delete_sync_user(sync_id, str(current_user.id)) # type: ignore return None @@ -171,7 +184,26 @@ async def create_sync_active( ) ) sync_active_input.notification_id = str(notification.id) - return sync_service.create_sync_active(sync_active_input, str(current_user.id)) + + sync_active = sync_service.create_sync_active( + sync_active_input, str(current_user.id) + ) + if not sync_active: + raise HTTPException( + status_code=500, detail=f"Error creating sync active for {current_user}" + ) + + celery.send_task( + "process_sync_task", + kwargs={ + "sync_id": sync_active.id, + "user_id": sync_active.user_id, + "files_ids": sync_active_input.settings.files, + "folder_ids": sync_active_input.settings.folders, + }, + ) + + return sync_active @sync_router.put( @@ -196,33 +228,79 @@ async def update_sync_active( Returns: SyncsActive: The updated sync active data. """ - logger.debug( + logger.info( f"Updating active sync for user: {current_user.id} with data: {sync_active_input}" ) details_sync_active = sync_service.get_details_sync_active(sync_id) - if (details_sync_active and sync_active_input.settings) and ( - (details_sync_active["settings"]["files"] != sync_active_input.settings.files) - or ( - details_sync_active["settings"]["folders"] - != sync_active_input.settings.folders + + if details_sync_active is None: + raise HTTPException( + status_code=500, + detail="Error updating sync", ) + + if sync_active_input.settings is None: + return {"message": "No modification to sync active"} + + input_file_ids = ( + sync_active_input.settings.files if sync_active_input.settings.files else [] + ) + input_folder_ids = ( + sync_active_input.settings.folders if sync_active_input.settings.folders else [] + ) + + if (input_file_ids == details_sync_active["settings"]["files"]) and ( + input_folder_ids == details_sync_active["settings"]["folders"] ): - bulk_id = uuid.uuid4() - notification = notification_service.add_notification( - CreateNotification( - user_id=current_user.id, - status=NotificationsStatusEnum.INFO, - title="Sync updated! Synchronization takes a few minutes to complete", - description="Your brain is syncing files. This may take a few minutes before proceeding.", - category="generic", - bulk_id=bulk_id, - brain_id=details_sync_active["brain_id"], # type: ignore - ) + logger.info({"message": "No modification to sync active"}) + return None + + logger.debug( + f"Updating sync_id {details_sync_active['id']}. Sync prev_settings={details_sync_active['settings'] }, Sync active input={sync_active_input.settings}" + ) + + bulk_id = uuid.uuid4() + sync_active_input.force_sync = True + notification = notification_service.add_notification( + CreateNotification( + user_id=current_user.id, + status=NotificationsStatusEnum.INFO, + title="Sync updated! Synchronization takes a few minutes to complete", + description="Your brain is syncing files. This may take a few minutes before proceeding.", + category="generic", + bulk_id=bulk_id, + brain_id=details_sync_active["brain_id"], # type: ignore ) - sync_active_input.force_sync = True - sync_active_input.notification_id = str(notification.id) - return sync_service.update_sync_active(sync_id, sync_active_input) + ) + sync_active_input.notification_id = str(notification.id) + sync_active = sync_service.update_sync_active(sync_id, sync_active_input) + if not sync_active: + raise HTTPException( + status_code=500, + detail=f"Error updating sync active for {current_user.id}", + ) + logger.debug( + f"Sending task process_sync_task for sync_id={sync_id}, user_id={current_user.id}" + ) + + added_files_ids = set(input_file_ids).difference( + set(details_sync_active["settings"]["files"]) + ) + added_folder_ids = set(input_folder_ids).difference( + set(details_sync_active["settings"]["folders"]) + ) + if len(added_files_ids) + len(added_folder_ids) > 0: + celery.send_task( + "process_sync_task", + kwargs={ + "sync_id": sync_active.id, + "user_id": sync_active.user_id, + "files_ids": list(added_files_ids), + "folder_ids": list(added_folder_ids), + }, + ) + else: return None @@ -262,7 +340,7 @@ async def delete_sync_active( brain_id=details_sync_active["brain_id"], # type: ignore ) ) - sync_service.delete_sync_active(sync_id, str(current_user.id)) + sync_service.delete_sync_active(sync_id, str(current_user.id)) # type: ignore return None @@ -295,7 +373,8 @@ async def get_active_syncs_for_user( ) async def get_files_folder_user_sync( user_sync_id: int, - folder_id: str = None, + notion_service: NotionServiceDep, + folder_id: str | None = None, current_user: UserIdentity = Depends(get_current_user), ): """ @@ -312,8 +391,8 @@ async def get_files_folder_user_sync( logger.debug( f"Fetching files for user sync: {user_sync_id} for user: {current_user.id}" ) - return sync_user_service.get_files_folder_user_sync( - user_sync_id, str(current_user.id), folder_id + return await sync_user_service.get_files_folder_user_sync( + user_sync_id, current_user.id, folder_id, notion_service=notion_service ) diff --git a/backend/api/quivr_api/modules/sync/entity/notion_page.py b/backend/api/quivr_api/modules/sync/entity/notion_page.py new file mode 100644 index 000000000000..f84f89fd26ec --- /dev/null +++ b/backend/api/quivr_api/modules/sync/entity/notion_page.py @@ -0,0 +1,134 @@ +from datetime import datetime +from typing import Any, List, Literal, Union +from uuid import UUID + +from pydantic import BaseModel, ConfigDict, Field, field_validator +from quivr_api.modules.sync.entity.sync_models import NotionSyncFile + + +class TextContent(BaseModel): + content: str | None + link: str | None + + +class TitleItem(BaseModel): + type: Literal["text"] + text: TextContent + annotations: dict[str, Any] + plain_text: str + + +class Title(BaseModel): + id: str + type: Literal["title"] + title: List[TitleItem] + + +class StatusData(BaseModel): + id: UUID + name: str + color: str + + +class Status(BaseModel): + id: str + type: Literal["status"] + status: StatusData + + +class Icon(BaseModel): + type: Literal["emoji"] + emoji: str + + +class ExternalCoverData(BaseModel): + url: str + + +class Cover(BaseModel): + type: Literal["external"] + external: ExternalCoverData + + +class PageParent(BaseModel): + type: Literal["page_id"] + page_id: UUID + + +class BlockParent(BaseModel): + type: Literal["block_id"] + block_id: UUID + + +class DatabaseParent(BaseModel): + type: Literal["database_id"] + database_id: UUID + + +class WorkspaceParent(BaseModel): + type: Literal["workspace"] + workspace: bool = True + + @field_validator("workspace") + @classmethod + def workspace_always_true(cls, w: bool) -> bool: + assert w, "workspace value always True" + return w + + +class PageProps(BaseModel): + title: Title | None = None + + +class NotionPage(BaseModel): + model_config = ConfigDict(extra="allow") + + id: UUID + created_time: datetime + last_edited_time: datetime + url: str + archived: bool + in_trash: bool | None + public_url: str | None + parent: Union[PageParent, DatabaseParent, WorkspaceParent, BlockParent] = Field( + discriminator="type" + ) + cover: Cover | None + icon: Icon | None + properties: PageProps + + # TODO: Fix UUID in table NOTION + def _get_parent_id(self) -> UUID | None: + match self.parent: + case PageParent(page_id=page_id): + return page_id + case DatabaseParent(): + return None + case WorkspaceParent(): + return None + case BlockParent(): + return None + + def to_syncfile(self, user_id: UUID): + name = ( + self.properties.title.title[0].text.content if self.properties.title else "" + ) + return NotionSyncFile( + notion_id=self.id, # TODO: store as UUID + parent_id=self._get_parent_id(), + name=f"{name}.md", + icon=self.icon.emoji if self.icon else "", + mime_type="md", + web_view_link=self.url, + is_folder=True, + last_modified=self.last_edited_time, + type="page", + user_id=user_id, + ) + + +class NotionSearchResult(BaseModel): + model_config = ConfigDict(extra="allow") + results: list[NotionPage] + has_more: bool + next_cursor: str | None diff --git a/backend/api/quivr_api/modules/sync/entity/sync.py b/backend/api/quivr_api/modules/sync/entity/sync.py deleted file mode 100644 index 12f6cf5085b8..000000000000 --- a/backend/api/quivr_api/modules/sync/entity/sync.py +++ /dev/null @@ -1,46 +0,0 @@ -from datetime import datetime -from typing import Optional - -from pydantic import BaseModel - - -class SyncsUser(BaseModel): - id: int - user_id: str - name: str - provider: str - credentials: dict - state: dict - additional_data: dict - - -class SyncFile(BaseModel): - name: str - id: str - is_folder: bool - last_modified: str - mime_type: str - web_view_link: str - notification_id: Optional[str] = None - - -class SyncsActive(BaseModel): - id: int - name: str - syncs_user_id: int - user_id: str - settings: dict - last_synced: datetime - sync_interval_minutes: int - brain_id: str - syncs_user: Optional[SyncsUser] = None - notification_id: Optional[str] = None - - -class SyncsFiles(BaseModel): - id: int - path: str - syncs_active_id: int - last_modified: str - brain_id: str - supported: bool diff --git a/backend/api/quivr_api/modules/sync/entity/sync_models.py b/backend/api/quivr_api/modules/sync/entity/sync_models.py new file mode 100644 index 000000000000..56955fdf671c --- /dev/null +++ b/backend/api/quivr_api/modules/sync/entity/sync_models.py @@ -0,0 +1,106 @@ +import io +from dataclasses import dataclass +from datetime import datetime +from typing import Optional +from uuid import UUID + +from pydantic import BaseModel +from sqlmodel import TIMESTAMP, Column, Field, Relationship, SQLModel, text +from sqlmodel import UUID as PGUUID + +from quivr_api.modules.user.entity.user_identity import User + + +@dataclass +class DownloadedSyncFile: + file_name: str + extension: str + file_data: io.BufferedReader + + +class DBSyncFile(BaseModel): + id: int + path: str + syncs_active_id: int + last_modified: str + brain_id: str + supported: bool + + +class SyncFile(BaseModel): + id: str + name: str + is_folder: bool + last_modified: str + mime_type: str + web_view_link: str + notification_id: UUID | None = None + icon: Optional[str] = None + parent_id: Optional[str] = None + type: Optional[str] = None + + +class SyncsUser(BaseModel): + id: int + user_id: UUID + name: str + provider: str + credentials: dict + state: dict + additional_data: dict + + +class SyncsActive(BaseModel): + id: int + name: str + syncs_user_id: int + user_id: UUID + settings: dict + last_synced: str + sync_interval_minutes: int + brain_id: UUID + syncs_user: Optional[SyncsUser] = None + notification_id: Optional[str] = None + + +# TODO: all of this should be rewritten +class SyncsActiveDetails(BaseModel): + pass + + +class NotionSyncFile(SQLModel, table=True): + """ + Represents a file synchronized with Notion. + """ + + __tablename__ = "notion_sync" # type: ignore + + id: Optional[UUID] = Field( + default=None, + sa_column=Column( + PGUUID, + server_default=text("uuid_generate_v4()"), + primary_key=True, + ), + ) + notion_id: UUID = Field(unique=True, description="The ID of the file in Notion") + parent_id: UUID | None = Field( + default=None, description="The ID of the parent file or directory" + ) + name: str = Field(default=None, description="The name of the file") + icon: Optional[str] = Field(description="The icon associated with the file") + mime_type: str = Field(default=None, description="The MIME type of the file") + web_view_link: str = Field(description="The web view link for the file") + is_folder: bool = Field(description="Indicates if the file is a folder") + last_modified: datetime = Field( + sa_column=Column(TIMESTAMP(timezone=True)), + description="The last modified timestamp of the file", + ) + type: Optional[str] = Field( + default=None, description="The type/category of the file" + ) + user_id: UUID = Field( + foreign_key="users.id", + description="The ID of the user who owns the file", + ) + user: User = Relationship(back_populates="notion_syncs") diff --git a/backend/api/quivr_api/modules/sync/repository/sync_files.py b/backend/api/quivr_api/modules/sync/repository/sync_files.py index bb870ab69ec0..bbef951a716a 100644 --- a/backend/api/quivr_api/modules/sync/repository/sync_files.py +++ b/backend/api/quivr_api/modules/sync/repository/sync_files.py @@ -1,13 +1,13 @@ from quivr_api.logger import get_logger -from quivr_api.models.settings import get_supabase_client +from quivr_api.modules.dependencies import get_supabase_client from quivr_api.modules.sync.dto.inputs import SyncFileInput, SyncFileUpdateInput -from quivr_api.modules.sync.entity.sync import SyncsFiles +from quivr_api.modules.sync.entity.sync_models import DBSyncFile, SyncFile, SyncsActive from quivr_api.modules.sync.repository.sync_interfaces import SyncFileInterface logger = get_logger(__name__) -class SyncFiles(SyncFileInterface): +class SyncFilesRepository(SyncFileInterface): def __init__(self): """ Initialize the SyncFiles class with a Supabase client. @@ -16,7 +16,7 @@ def __init__(self): self.db = supabase_client # type: ignore logger.debug("Supabase client initialized") - def create_sync_file(self, sync_file_input: SyncFileInput) -> SyncsFiles: + def create_sync_file(self, sync_file_input: SyncFileInput) -> DBSyncFile | None: """ Create a new sync file in the database. @@ -41,11 +41,10 @@ def create_sync_file(self, sync_file_input: SyncFileInput) -> SyncsFiles: ) if response.data: logger.info("Sync file created successfully: %s", response.data[0]) - return SyncsFiles(**response.data[0]) + return DBSyncFile(**response.data[0]) logger.warning("Failed to create sync file") - return None - def get_sync_files(self, sync_active_id: int) -> list[SyncsFiles]: + def get_sync_files(self, sync_active_id: int) -> list[DBSyncFile]: """ Retrieve sync files from the database. @@ -64,7 +63,7 @@ def get_sync_files(self, sync_active_id: int) -> list[SyncsFiles]: ) if response.data: # logger.info("Sync files retrieved successfully: %s", response.data) - return [SyncsFiles(**file) for file in response.data] + return [DBSyncFile(**file) for file in response.data] logger.warning("No sync files found for sync_active_id: %s", sync_active_id) return [] @@ -86,6 +85,33 @@ def update_sync_file(self, sync_file_id: int, sync_file_input: SyncFileUpdateInp ).eq("id", sync_file_id).execute() logger.info("Sync file updated successfully") + def update_or_create_sync_file( + self, + file: SyncFile, + sync_active: SyncsActive, + previous_file: DBSyncFile | None, + supported: bool, + ): + if previous_file: + logger.debug(f"Upserting file {previous_file} in database.") + self.update_sync_file( + previous_file.id, + SyncFileUpdateInput( + last_modified=file.last_modified, + supported=previous_file.supported or supported, + ), + ) + else: + self.create_sync_file( + SyncFileInput( + path=file.name, + syncs_active_id=sync_active.id, + last_modified=file.last_modified, + brain_id=str(sync_active.brain_id), + supported=supported, + ) + ) + def delete_sync_file(self, sync_file_id: int): """ Delete a sync file from the database. diff --git a/backend/api/quivr_api/modules/sync/repository/sync_interfaces.py b/backend/api/quivr_api/modules/sync/repository/sync_interfaces.py index a2fca47e5bd2..8655fb9ed966 100644 --- a/backend/api/quivr_api/modules/sync/repository/sync_interfaces.py +++ b/backend/api/quivr_api/modules/sync/repository/sync_interfaces.py @@ -1,5 +1,5 @@ from abc import ABC, abstractmethod -from typing import List +from typing import Any, List, Literal from uuid import UUID from quivr_api.modules.sync.dto.inputs import ( @@ -10,7 +10,11 @@ SyncsUserInput, SyncUserUpdateInput, ) -from quivr_api.modules.sync.entity.sync import SyncsActive, SyncsFiles +from quivr_api.modules.sync.entity.sync_models import ( + DBSyncFile, + SyncFile, + SyncsActive, +) class SyncUserInterface(ABC): @@ -22,7 +26,7 @@ def create_sync_user( pass @abstractmethod - def get_syncs_user(self, user_id: str, sync_user_id: int = None): + def get_syncs_user(self, user_id: str, sync_user_id: int | None = None): pass @abstractmethod @@ -30,7 +34,7 @@ def get_sync_user_by_id(self, sync_id: int): pass @abstractmethod - def delete_sync_user(self, sync_user_id: UUID, user_id: UUID): + def delete_sync_user(self, sync_user_id: int, user_id: UUID | str): pass @abstractmethod @@ -39,18 +43,23 @@ def get_sync_user_by_state(self, state: dict): @abstractmethod def update_sync_user( - self, sync_user_id: str, state: dict, sync_user_input: SyncUserUpdateInput + self, sync_user_id: int, state: dict, sync_user_input: SyncUserUpdateInput ): pass @abstractmethod - def get_files_folder_user_sync( + async def get_files_folder_user_sync( self, sync_active_id: int, user_id: str, + notion_service: Any = None, folder_id: int | str | None = None, recursive: bool = False, - ): + ) -> None | dict[str, List[SyncFile]] | Literal["No sync found"]: + pass + + @abstractmethod + def get_all_notion_user_syncs(self): pass @@ -60,16 +69,16 @@ def create_sync_active( self, sync_active_input: SyncsActiveInput, user_id: str, - ) -> SyncsActive: + ) -> SyncsActive | None: pass @abstractmethod - def get_syncs_active(self, user_id: UUID) -> list[SyncsActive]: + def get_syncs_active(self, user_id: UUID | str) -> List[SyncsActive]: pass @abstractmethod def update_sync_active( - self, sync_id: UUID, sync_active_input: SyncsActiveUpdateInput + self, sync_id: UUID | int, sync_active_input: SyncsActiveUpdateInput ): pass @@ -88,11 +97,11 @@ async def get_syncs_active_in_interval(self) -> List[SyncsActive]: class SyncFileInterface(ABC): @abstractmethod - def create_sync_file(self, sync_file_input: SyncFileInput) -> SyncsFiles: + def create_sync_file(self, sync_file_input: SyncFileInput) -> DBSyncFile: pass @abstractmethod - def get_sync_files(self, sync_active_id: int) -> list[SyncsFiles]: + def get_sync_files(self, sync_active_id: int) -> list[DBSyncFile]: pass @abstractmethod diff --git a/backend/api/quivr_api/modules/sync/repository/sync.py b/backend/api/quivr_api/modules/sync/repository/sync_repository.py similarity index 53% rename from backend/api/quivr_api/modules/sync/repository/sync.py rename to backend/api/quivr_api/modules/sync/repository/sync_repository.py index 146531afc07c..59e013b22925 100644 --- a/backend/api/quivr_api/modules/sync/repository/sync.py +++ b/backend/api/quivr_api/modules/sync/repository/sync_repository.py @@ -1,18 +1,23 @@ from datetime import datetime, timedelta -from typing import List +from typing import List, Sequence +from uuid import UUID from quivr_api.logger import get_logger -from quivr_api.models.settings import get_supabase_client -from quivr_api.modules.knowledge.service.knowledge_service import KnowledgeService -from quivr_api.modules.notification.service.notification_service import ( - NotificationService, -) -from quivr_api.modules.sync.dto.inputs import SyncsActiveInput, SyncsActiveUpdateInput -from quivr_api.modules.sync.entity.sync import SyncsActive +from quivr_api.modules.dependencies import (BaseRepository, get_supabase_client) +from quivr_api.modules.notification.service.notification_service import \ + NotificationService +from quivr_api.modules.sync.dto.inputs import (SyncsActiveInput, + SyncsActiveUpdateInput) +from quivr_api.modules.sync.entity.sync_models import (NotionSyncFile, + SyncsActive) from quivr_api.modules.sync.repository.sync_interfaces import SyncInterface +from sqlalchemy import or_ +from sqlalchemy.exc import IntegrityError +from sqlmodel import col, select +from sqlmodel.ext.asyncio.session import AsyncSession notification_service = NotificationService() -knowledge_service = KnowledgeService() + logger = get_logger(__name__) @@ -27,7 +32,7 @@ def __init__(self): def create_sync_active( self, sync_active_input: SyncsActiveInput, user_id: str - ) -> SyncsActive: + ) -> SyncsActive | None: """ Create a new active sync in the database. @@ -51,10 +56,10 @@ def create_sync_active( if response.data: logger.info("Active sync created successfully: %s", response.data[0]) return SyncsActive(**response.data[0]) - logger.warning("Failed to create active sync for user_id: %s", user_id) - return None - def get_syncs_active(self, user_id: str) -> List[SyncsActive]: + logger.error("Failed to create active sync for user_id: %s", user_id) + + def get_syncs_active(self, user_id: UUID | str) -> List[SyncsActive]: """ Retrieve active syncs from the database. @@ -78,8 +83,8 @@ def get_syncs_active(self, user_id: str) -> List[SyncsActive]: return [] def update_sync_active( - self, sync_id: int, sync_active_input: SyncsActiveUpdateInput - ): + self, sync_id: int | str, sync_active_input: SyncsActiveUpdateInput + ) -> SyncsActive | None: """ Update an active sync in the database. @@ -102,13 +107,14 @@ def update_sync_active( .eq("id", sync_id) .execute() ) + if response.data: logger.info("Active sync updated successfully: %s", response.data[0]) - return response.data[0] - logger.warning("Failed to update active sync with sync_id: %s", sync_id) - return None + return SyncsActive.model_validate(response.data[0]) - def delete_sync_active(self, sync_active_id: int, user_id: str): + logger.error("Failed to update active sync with sync_id: %s", sync_id) + + def delete_sync_active(self, sync_active_id: int, user_id: UUID): """ Delete an active sync from the database. @@ -128,7 +134,7 @@ def delete_sync_active(self, sync_active_id: int, user_id: str): self.db.from_("syncs_active") .delete() .eq("id", sync_active_id) - .eq("user_id", user_id) + .eq("user_id", str(user_id)) .execute() ) if response.data: @@ -198,3 +204,115 @@ async def get_syncs_active_in_interval(self) -> List[SyncsActive]: return [SyncsActive(**sync) for sync in merge_data] logger.info("No active syncs found due for synchronization") return [] + + +class NotionRepository(BaseRepository): + def __init__(self, session: AsyncSession): + super().__init__(session) + self.session = session + self.db = get_supabase_client() + + async def get_user_notion_files(self, user_id: UUID) -> Sequence[NotionSyncFile]: + query = select(NotionSyncFile).where(NotionSyncFile.user_id == user_id) + response = await self.session.exec(query) + return response.all() + + async def create_notion_files( + self, notion_files: List[NotionSyncFile] + ) -> List[NotionSyncFile]: + try: + self.session.add_all(notion_files) + await self.session.commit() + except IntegrityError: + await self.session.rollback() + raise Exception("Integrity error while creating notion files.") + except Exception as e: + await self.session.rollback() + raise e + + return notion_files + + async def update_notion_file(self, updated_notion_file: NotionSyncFile) -> bool: + try: + is_update = False + query = select(NotionSyncFile).where( + NotionSyncFile.notion_id == updated_notion_file.notion_id + ) + result = await self.session.exec(query) + existing_page = result.one_or_none() + + if existing_page: + # Update existing page + existing_page.name = updated_notion_file.name + existing_page.last_modified = updated_notion_file.last_modified + self.session.add(existing_page) + is_update = True + else: + # Add new page + self.session.add(updated_notion_file) + + await self.session.commit() + + # Refresh the object that's actually in the session + refreshed_file = existing_page if existing_page else updated_notion_file + await self.session.refresh(refreshed_file) + + logger.info(f"Updated notion file in notion repo: {refreshed_file}") + return is_update + + except IntegrityError as ie: + logger.error(f"IntegrityError occurred: {ie}") + await self.session.rollback() + raise Exception("Integrity error while updating notion file.") + except Exception as e: + logger.error(f"Exception occurred: {e}") + await self.session.rollback() + raise + + async def get_notion_files_by_ids(self, ids: List[str]) -> Sequence[NotionSyncFile]: + query = select(NotionSyncFile).where(NotionSyncFile.notion_id.in_(ids)) # type: ignore + response = await self.session.exec(query) + return response.all() + + async def get_notion_files_by_parent_id( + self, parent_id: str | None + ) -> Sequence[NotionSyncFile]: + query = select(NotionSyncFile).where(NotionSyncFile.parent_id == parent_id) + response = await self.session.exec(query) + return response.all() + + async def get_all_notion_files(self) -> Sequence[NotionSyncFile]: + query = select(NotionSyncFile) + response = await self.session.exec(query) + return response.all() + + async def is_folder_page(self, page_id: str) -> bool: + query = select(NotionSyncFile).where(NotionSyncFile.parent_id == page_id) + response = await self.session.exec(query) + return response.first() is not None + + async def delete_notion_page(self, notion_id: UUID): + query = select(NotionSyncFile).where(NotionSyncFile.notion_id == notion_id) + response = await self.session.exec(query) + notion_file = response.first() + if notion_file: + await self.session.delete(notion_file) + await self.session.commit() + return notion_file + return None + + async def delete_notion_pages(self, notion_ids: List[UUID]): + query = select(NotionSyncFile).where( + or_( + col(NotionSyncFile.notion_id).in_(notion_ids), + col(NotionSyncFile.parent_id).in_(notion_ids), + ) + ) + response = await self.session.exec(query) + notion_files = response.all() + if notion_files: + for notion_file in notion_files: + await self.session.delete(notion_file) + await self.session.commit() + return notion_files + return None diff --git a/backend/api/quivr_api/modules/sync/repository/sync_user.py b/backend/api/quivr_api/modules/sync/repository/sync_user.py index f528abe73015..903d21155bec 100644 --- a/backend/api/quivr_api/modules/sync/repository/sync_user.py +++ b/backend/api/quivr_api/modules/sync/repository/sync_user.py @@ -1,26 +1,24 @@ import json +from typing import List, Literal +from uuid import UUID from quivr_api.logger import get_logger -from quivr_api.models.settings import get_supabase_client -from quivr_api.modules.knowledge.service.knowledge_service import KnowledgeService -from quivr_api.modules.notification.service.notification_service import ( - NotificationService, -) -from quivr_api.modules.sync.dto.inputs import SyncsUserInput, SyncUserUpdateInput -from quivr_api.modules.sync.repository.sync_interfaces import SyncUserInterface -from quivr_api.modules.sync.utils.sync import ( - AzureDriveSync, - DropboxSync, - GitHubSync, - GoogleDriveSync, -) +from quivr_api.modules.dependencies import get_supabase_client +from quivr_api.modules.notification.service.notification_service import \ + NotificationService +from quivr_api.modules.sync.dto.inputs import (SyncsUserInput, + SyncUserUpdateInput) +from quivr_api.modules.sync.entity.sync_models import SyncFile, SyncsUser +from quivr_api.modules.sync.service.sync_notion import SyncNotionService +from quivr_api.modules.sync.utils.sync import (AzureDriveSync, BaseSync, + DropboxSync, GitHubSync, + GoogleDriveSync, NotionSync) notification_service = NotificationService() -knowledge_service = KnowledgeService() logger = get_logger(__name__) -class SyncUser(SyncUserInterface): +class SyncUserRepository: def __init__(self): """ Initialize the Sync class with a Supabase client. @@ -54,18 +52,17 @@ def create_sync_user( logger.warning("Failed to create sync user") return None - def get_sync_user_by_id(self, sync_id: int): + def get_sync_user_by_id(self, sync_id: int) -> SyncsUser | None: """ Retrieve sync users from the database. """ response = self.db.from_("syncs_user").select("*").eq("id", sync_id).execute() if response.data: logger.info("Sync user found: %s", response.data[0]) - return response.data[0] - logger.warning("No sync user found for sync_id: %s", sync_id) - return None + return SyncsUser.model_validate(response.data[0]) + logger.error("No sync user found for sync_id: %s", sync_id) - def get_syncs_user(self, user_id: str, sync_user_id: int = None): + def get_syncs_user(self, user_id: UUID, sync_user_id: int | None = None): """ Retrieve sync users from the database. @@ -83,10 +80,10 @@ def get_syncs_user(self, user_id: str, sync_user_id: int = None): ) query = self.db.from_("syncs_user").select("*").eq("user_id", user_id) if sync_user_id: - query = query.eq("id", sync_user_id) + query = query.eq("id", str(sync_user_id)) response = query.execute() if response.data: - logger.info("Sync users retrieved successfully: %s", response.data) + # logger.info("Sync users retrieved successfully: %s", response.data) return response.data logger.warning( "No sync users found for user_id: %s, sync_user_id: %s", @@ -95,7 +92,7 @@ def get_syncs_user(self, user_id: str, sync_user_id: int = None): ) return [] - def get_sync_user_by_state(self, state: dict): + def get_sync_user_by_state(self, state: dict) -> SyncsUser | None: """ Retrieve a sync user by their state. @@ -111,13 +108,14 @@ def get_sync_user_by_state(self, state: dict): response = ( self.db.from_("syncs_user").select("*").eq("state", state_str).execute() ) - if response.data: + if response.data and len(response.data) > 0: logger.info("Sync user found by state: %s", response.data[0]) - return response.data[0] - logger.warning("No sync user found for state: %s", state) - return [] + sync_user = SyncsUser.model_validate(response.data[0]) + return sync_user + logger.error("No sync user found for state: %s", state) + return None - def delete_sync_user(self, sync_id: str, user_id: str): + def delete_sync_user(self, sync_id: int, user_id: UUID | str): """ Delete a sync user from the database. @@ -134,7 +132,7 @@ def delete_sync_user(self, sync_id: str, user_id: str): logger.info("Sync user deleted successfully") def update_sync_user( - self, sync_user_id: str, state: dict, sync_user_input: SyncUserUpdateInput + self, sync_user_id: UUID, state: dict, sync_user_input: SyncUserUpdateInput ): """ Update a sync user in the database. @@ -153,17 +151,35 @@ def update_sync_user( state_str = json.dumps(state) self.db.from_("syncs_user").update(sync_user_input.model_dump()).eq( - "user_id", sync_user_id + "user_id", str(sync_user_id) ).eq("state", state_str).execute() logger.info("Sync user updated successfully") - def get_files_folder_user_sync( + def get_all_notion_user_syncs(self): + """ + Retrieve all Notion sync users from the database. + + Returns: + list: A list of Notion sync users. + """ + logger.info("Retrieving all Notion sync users") + response = ( + self.db.from_("syncs_user").select("*").eq("provider", "Notion").execute() + ) + if response.data: + logger.info("Notion sync users retrieved successfully") + return response.data + logger.warning("No Notion sync users found") + return [] + + async def get_files_folder_user_sync( self, sync_active_id: int, - user_id: str, - folder_id: str = None, + user_id: UUID, + notion_service: SyncNotionService | None, + folder_id: str | None = None, recursive: bool = False, - ): + ) -> None | dict[str, List[SyncFile]] | Literal["No sync found"]: """ Retrieve files from a user's sync folder, either from Google Drive or Azure. @@ -181,7 +197,6 @@ def get_files_folder_user_sync( user_id, folder_id, ) - # Check whether the sync is Google or Azure sync_user = self.get_syncs_user(user_id=user_id, sync_user_id=sync_active_id) if not sync_user: @@ -193,7 +208,7 @@ def get_files_folder_user_sync( return None sync_user = sync_user[0] - logger.info("Sync user found: %s", sync_user) + sync: BaseSync provider = sync_user["provider"].lower() if provider == "google": @@ -214,6 +229,16 @@ def get_files_folder_user_sync( sync_user["credentials"], folder_id if folder_id else "", recursive ) } + elif provider == "notion": + if notion_service is None: + raise ValueError("provider notion but notion_service is None") + logger.info("Getting files for Notion sync") + sync = NotionSync(notion_service=notion_service) + return { + "files": await sync.aget_files( + sync_user["credentials"], folder_id if folder_id else "", recursive + ) + } elif provider == "github": logger.info("Getting files for GitHub sync") sync = GitHubSync() diff --git a/backend/api/quivr_api/modules/sync/service/sync_notion.py b/backend/api/quivr_api/modules/sync/service/sync_notion.py new file mode 100644 index 000000000000..09ede38cda9b --- /dev/null +++ b/backend/api/quivr_api/modules/sync/service/sync_notion.py @@ -0,0 +1,193 @@ +from datetime import datetime, timezone +from typing import List, Sequence +from uuid import UUID + +from notion_client import Client + +from quivr_api.logger import get_logger +from quivr_api.modules.dependencies import BaseService +from quivr_api.modules.sync.entity.notion_page import NotionPage, NotionSearchResult +from quivr_api.modules.sync.entity.sync_models import NotionSyncFile +from quivr_api.modules.sync.repository.sync_repository import NotionRepository + +logger = get_logger(__name__) + + +class SyncNotionService(BaseService[NotionRepository]): + repository_cls = NotionRepository + + def __init__(self, repository: NotionRepository): + self.repository = repository + + async def create_notion_files( + self, notion_raw_files: List[NotionPage], user_id: UUID + ) -> list[NotionSyncFile]: + pages_to_add: List[NotionSyncFile] = [] + for page in notion_raw_files: + if ( + (page.in_trash is None or not page.in_trash) + and not page.archived + and page.parent.type in ("page_id", "workspace") + ): + pages_to_add.append(page.to_syncfile(user_id)) + inserted_notion_files = await self.repository.create_notion_files(pages_to_add) + logger.info(f"Insert response {inserted_notion_files}") + return pages_to_add + + async def update_notion_files( + self, notion_pages: List[NotionPage], user_id: UUID, client: Client + ) -> bool: + # 1. For each page we check if it is already in the db, if it is we modify it, if it isn't we create it. + # 2. If the page was modified, we check all direct children of the page and check if they stil exist in notion, if they don't, we delete it + # 3. We check if the root folder was deleted, if so we delete the root page & all children + try: + pages_to_delete: list[UUID] = [] + for page in notion_pages: + if ( + not page.in_trash + and not page.archived + and page.parent.type != "database_id" + ): + logger.debug( + "Updating notion file %s ", + page.id, + ) + is_update = await self.repository.update_notion_file( + page.to_syncfile(user_id) + ) + + if is_update: + logger.info( + f"Updated notion file {page.id}, we need to check if children were deleted" + ) + children = await self.get_notion_files_by_parent_id( + str(page.id) + ) + for child in children: + try: + child_notion_page = client.pages.retrieve( + str(child.notion_id) + ) + if ( + child_notion_page["archived"] + or child_notion_page["in_trash"] + ): + pages_to_delete.append(child.notion_id) + except Exception: + logger.error( + f"Page {child.notion_id} is in trash or archived, we are deleting it." + ) + pages_to_delete.append(child.notion_id) + + else: + logger.info(f"Page {page.id} is in trash or archived, skipping ") + + root_pages = await self.get_root_notion_files() + + for root_page in root_pages: + root_notion_page = client.pages.retrieve(root_page.notion_id) + if root_notion_page["archived"] or root_notion_page["in_trash"]: + pages_to_delete.append(root_page.notion_id) + logger.info(f"Pages to delete: {pages_to_delete}") + await self.repository.delete_notion_pages(pages_to_delete) + + return True + except Exception as e: + logger.error(f"Error updating notion pages: {e}") + return False + + async def get_notion_files_by_ids(self, ids: List[str]) -> Sequence[NotionSyncFile]: + logger.info(f"Fetching notion files for IDs: {ids}") + notion_files = await self.repository.get_notion_files_by_ids(ids) + logger.info(f"Fetched {len(notion_files)} notion files") + return notion_files + + async def get_notion_files_by_parent_id( + self, parent_id: str | None + ) -> Sequence[NotionSyncFile]: + logger.info(f"Fetching notion files with parent_id: {parent_id}") + notion_files = await self.repository.get_notion_files_by_parent_id(parent_id) + logger.info( + f"Fetched {len(notion_files)} notion files with parent_id {parent_id}" + ) + return notion_files + + async def get_root_notion_files(self) -> Sequence[NotionSyncFile]: + logger.info("Fetching root notion files") + notion_files = await self.repository.get_notion_files_by_parent_id(None) + logger.info(f"Fetched {len(notion_files)} root notion files") + return notion_files + + async def get_all_notion_files(self) -> Sequence[NotionSyncFile]: + logger.info("Fetching all notion files") + notion_files = await self.repository.get_all_notion_files() + logger.info(f"Fetched {len(notion_files)} notion files") + return notion_files + + async def is_folder_page(self, page_id: str) -> bool: + logger.info(f"Checking if page is a folder: {page_id}") + is_folder = await self.repository.is_folder_page(page_id) + return is_folder + + async def delete_notion_pages(self, page_id: UUID): + await self.repository.delete_notion_page(page_id) + + +async def update_notion_pages( + notion_service: SyncNotionService, + pages_to_update: list[NotionPage], + user_id: UUID, + client: Client, +): + return await notion_service.update_notion_files(pages_to_update, user_id, client) + + +async def store_notion_pages( + all_search_result: list[NotionPage], + notion_service: SyncNotionService, + user_id: UUID, +): + return await notion_service.create_notion_files(all_search_result, user_id) + + +def fetch_notion_pages( + notion_client: Client, start_cursor: str | None = None +) -> NotionSearchResult: + search_result = notion_client.search( + query="", + filter={"property": "object", "value": "page"}, + sort={"direction": "descending", "timestamp": "last_edited_time"}, + start_cursor=start_cursor, + ) + return NotionSearchResult.model_validate(search_result) + + +def fetch_limit_notion_pages( + notion_client: Client, + last_sync_time: datetime, +) -> List[NotionPage]: + all_search_result = [] + last_sync_time = last_sync_time.astimezone(timezone.utc) + + search_result = fetch_notion_pages(notion_client) + for page in search_result.results: + if page.last_edited_time > last_sync_time: + all_search_result.append(page) + + if last_sync_time > page.last_edited_time: + return all_search_result + + while search_result.has_more: + logger.debug("next page cursor: %s", search_result.next_cursor) # type: ignore + search_result = fetch_notion_pages( + notion_client, start_cursor=search_result.next_cursor + ) + + for page in search_result.results: + if page.last_edited_time > last_sync_time: + all_search_result.append(page) + + if last_sync_time > page.last_edited_time: + return all_search_result + + return all_search_result diff --git a/backend/api/quivr_api/modules/sync/service/sync_service.py b/backend/api/quivr_api/modules/sync/service/sync_service.py index db8a19d633f8..aa9665981cc1 100644 --- a/backend/api/quivr_api/modules/sync/service/sync_service.py +++ b/backend/api/quivr_api/modules/sync/service/sync_service.py @@ -1,4 +1,5 @@ from typing import List +from uuid import UUID from quivr_api.logger import get_logger from quivr_api.modules.sync.dto.inputs import ( @@ -7,13 +8,10 @@ SyncsUserInput, SyncUserUpdateInput, ) -from quivr_api.modules.sync.entity.sync import SyncsActive, SyncsUser -from quivr_api.modules.sync.repository.sync import Sync, SyncInterface -from quivr_api.modules.sync.repository.sync_interfaces import ( - SyncInterface, - SyncUserInterface, -) -from quivr_api.modules.sync.repository.sync_user import SyncUser +from quivr_api.modules.sync.entity.sync_models import SyncsActive, SyncsUser +from quivr_api.modules.sync.repository.sync_repository import Sync +from quivr_api.modules.sync.repository.sync_user import SyncUserRepository +from quivr_api.modules.sync.service.sync_notion import SyncNotionService from quivr_api.modules.user.service.user_service import UserService logger = get_logger(__name__) @@ -23,63 +21,67 @@ class SyncUserService: - repository: SyncUserInterface - def __init__(self): - self.repository = SyncUser() + self.repository = SyncUserRepository() - def get_syncs_user(self, user_id: str, sync_user_id: int = None): + def get_syncs_user(self, user_id: UUID, sync_user_id: int | None = None): return self.repository.get_syncs_user(user_id, sync_user_id) def create_sync_user(self, sync_user_input: SyncsUserInput): return self.repository.create_sync_user(sync_user_input) - def delete_sync_user(self, sync_id: str, user_id: str): + def delete_sync_user(self, sync_id: int, user_id: str): return self.repository.delete_sync_user(sync_id, user_id) - def get_sync_user_by_state(self, state: dict) -> SyncsUser: + def get_sync_user_by_state(self, state: dict) -> SyncsUser | None: return self.repository.get_sync_user_by_state(state) def get_sync_user_by_id(self, sync_id: int): return self.repository.get_sync_user_by_id(sync_id) def update_sync_user( - self, sync_user_id: str, state: dict, sync_user_input: SyncUserUpdateInput + self, sync_user_id: UUID, state: dict, sync_user_input: SyncUserUpdateInput ): return self.repository.update_sync_user(sync_user_id, state, sync_user_input) - def get_files_folder_user_sync( + def get_all_notion_user_syncs(self): + return self.repository.get_all_notion_user_syncs() + + async def get_files_folder_user_sync( self, sync_active_id: int, - user_id: str, - folder_id: str = None, + user_id: UUID, + folder_id: str | None = None, recursive: bool = False, + notion_service: SyncNotionService | None = None, ): - return self.repository.get_files_folder_user_sync( - sync_active_id, user_id, folder_id, recursive + return await self.repository.get_files_folder_user_sync( + sync_active_id=sync_active_id, + user_id=user_id, + folder_id=folder_id, + recursive=recursive, + notion_service=notion_service, ) class SyncService: - repository: SyncInterface - def __init__(self): self.repository = Sync() def create_sync_active( self, sync_active_input: SyncsActiveInput, user_id: str - ) -> SyncsActive: + ) -> SyncsActive | None: return self.repository.create_sync_active(sync_active_input, user_id) def get_syncs_active(self, user_id: str) -> List[SyncsActive]: return self.repository.get_syncs_active(user_id) def update_sync_active( - self, sync_id: str, sync_active_input: SyncsActiveUpdateInput + self, sync_id: int, sync_active_input: SyncsActiveUpdateInput ): return self.repository.update_sync_active(sync_id, sync_active_input) - def delete_sync_active(self, sync_active_id: str, user_id: str): + def delete_sync_active(self, sync_active_id: int, user_id: UUID): return self.repository.delete_sync_active(sync_active_id, user_id) async def get_syncs_active_in_interval(self) -> List[SyncsActive]: diff --git a/backend/api/quivr_api/modules/sync/tasks.py b/backend/api/quivr_api/modules/sync/tasks.py deleted file mode 100644 index 59b559104b62..000000000000 --- a/backend/api/quivr_api/modules/sync/tasks.py +++ /dev/null @@ -1,105 +0,0 @@ -import asyncio - -from quivr_api.celery_config import celery -from quivr_api.logger import get_logger -from quivr_api.modules.knowledge.repository.storage import Storage -from quivr_api.modules.notification.service.notification_service import ( - NotificationService, -) -from quivr_api.modules.sync.repository.sync_files import SyncFiles -from quivr_api.modules.sync.service.sync_service import SyncService, SyncUserService -from quivr_api.modules.sync.utils.sync import ( - AzureDriveSync, - DropboxSync, - GitHubSync, - GoogleDriveSync, -) -from quivr_api.modules.sync.utils.syncutils import SyncUtils - -notification_service = NotificationService() - - -logger = get_logger(__name__) - - -@celery.task(name="process_sync_active") -def process_sync_active(): - loop = asyncio.get_event_loop() - loop.run_until_complete(_process_sync_active()) - - -async def _process_sync_active(): - sync_active_service = SyncService() - sync_user_service = SyncUserService() - sync_files_repo_service = SyncFiles() - storage = Storage() - - google_sync_utils = SyncUtils( - sync_user_service=sync_user_service, - sync_active_service=sync_active_service, - sync_files_repo=sync_files_repo_service, - storage=storage, - sync_cloud=GoogleDriveSync(), - ) - - azure_sync_utils = SyncUtils( - sync_user_service=sync_user_service, - sync_active_service=sync_active_service, - sync_files_repo=sync_files_repo_service, - storage=storage, - sync_cloud=AzureDriveSync(), - ) - - dropbox_sync_utils = SyncUtils( - sync_user_service=sync_user_service, - sync_active_service=sync_active_service, - sync_files_repo=sync_files_repo_service, - storage=storage, - sync_cloud=DropboxSync(), - ) - - github_sync_utils = SyncUtils( - sync_user_service=sync_user_service, - sync_active_service=sync_active_service, - sync_files_repo=sync_files_repo_service, - storage=storage, - sync_cloud=GitHubSync(), - ) - - active = await sync_active_service.get_syncs_active_in_interval() - - for sync in active: - try: - details_user_sync = sync_user_service.get_sync_user_by_id( - sync.syncs_user_id - ) - sync_active = None - if details_user_sync is None: - continue - else: - sync_active = sync_active_service.get_details_sync_active(sync.id) - notification_service.remove_notification_by_id( - sync_active["notification_id"], - ) - if details_user_sync["provider"].lower() == "google": - await google_sync_utils.sync( - sync_active_id=sync.id, user_id=sync.user_id - ) - elif details_user_sync["provider"].lower() == "azure": - await azure_sync_utils.sync( - sync_active_id=sync.id, user_id=sync.user_id - ) - elif details_user_sync["provider"].lower() == "github": - await github_sync_utils.sync( - sync_active_id=sync.id, user_id=sync.user_id - ) - elif details_user_sync["provider"].lower() == "dropbox": - await dropbox_sync_utils.sync( - sync_active_id=sync.id, user_id=sync.user_id - ) - - else: - logger.info("Provider not supported: %s", details_user_sync["provider"]) - except Exception as e: - logger.error(f"Error syncing: {e}") - continue diff --git a/backend/api/quivr_api/modules/brain/rags/__init__.py b/backend/api/quivr_api/modules/sync/tests/__init__.py similarity index 100% rename from backend/api/quivr_api/modules/brain/rags/__init__.py rename to backend/api/quivr_api/modules/sync/tests/__init__.py diff --git a/backend/api/quivr_api/modules/sync/tests/conftest.py b/backend/api/quivr_api/modules/sync/tests/conftest.py new file mode 100644 index 000000000000..0501f6e11997 --- /dev/null +++ b/backend/api/quivr_api/modules/sync/tests/conftest.py @@ -0,0 +1,351 @@ +import asyncio +import json +import os +from datetime import datetime +from pathlib import Path +from typing import Any +from uuid import uuid4 + +import pytest +import pytest_asyncio +import sqlalchemy +from sqlalchemy.ext.asyncio import create_async_engine +from sqlmodel import Session, create_engine, select +from sqlmodel.ext.asyncio.session import AsyncSession + +from quivr_api.modules.sync.entity.notion_page import ( + BlockParent, + DatabaseParent, + NotionPage, + NotionSearchResult, + PageParent, + PageProps, + TextContent, + Title, + TitleItem, + WorkspaceParent, +) +from quivr_api.modules.user.entity.user_identity import User + +pg_database_base_url = "postgres:postgres@localhost:54322/postgres" + + +@pytest.fixture(scope="function") +def page_response() -> dict[str, Any]: + json_path = ( + Path(os.getenv("PYTEST_CURRENT_TEST").split(":")[0]) + .parent.absolute() + .joinpath("page.json") + ) + with open(json_path, "r") as f: + page = json.load(f) + return page + + +@pytest.fixture(scope="function") +def fetch_response(): + return [ + { + "object": "page", + "id": "27b26c5a-e86f-470a-a5fc-27a3fc308850", + "created_time": "2024-05-02T09:03:00.000Z", + "last_edited_time": "2024-08-19T10:01:00.000Z", + "created_by": { + "object": "user", + "id": "e2f8bfda-3b98-466e-a2c1-39e5f0f64881", + }, + "last_edited_by": { + "object": "user", + "id": "f87bcc4b-68ee-4d44-b518-3d2d19ffedc2", + }, + "cover": None, + "icon": {"type": "emoji", "emoji": "🌇"}, + "parent": {"type": "workspace", "workspace": True}, + "archived": False, + "in_trash": False, + "properties": { + "title": { + "id": "title", + "type": "title", + "title": [ + { + "type": "text", + "text": {"content": "Investors", "link": None}, + "annotations": { + "bold": False, + "italic": False, + "strikethrough": False, + "underline": False, + "code": False, + "color": "default", + }, + "plain_text": "Investors", + "href": None, + } + ], + } + }, + "url": "https://www.notion.so/Investors-27b26c5ae86f470aa5fc27a3fc308850", + "public_url": None, + }, + { + "object": "page", + "id": "ff799030-eae6-4c81-8631-ee2653f27af8", + "created_time": "2024-04-04T23:24:00.000Z", + "last_edited_time": "2024-08-19T10:01:00.000Z", + "created_by": { + "object": "user", + "id": "c8de6079-cc5a-4b46-8763-04f92b33fc18", + }, + "last_edited_by": { + "object": "user", + "id": "f87bcc4b-68ee-4d44-b518-3d2d19ffedc2", + }, + "cover": None, + "icon": {"type": "emoji", "emoji": "🎓"}, + "parent": {"type": "workspace", "workspace": True}, + "archived": False, + "in_trash": False, + "properties": { + "title": { + "id": "title", + "type": "title", + "title": [ + { + "type": "text", + "text": {"content": "Academy", "link": None}, + "annotations": { + "bold": False, + "italic": False, + "strikethrough": False, + "underline": False, + "code": False, + "color": "default", + }, + "plain_text": "Academy", + "href": None, + } + ], + } + }, + "url": "https://www.notion.so/Academy-ff799030eae64c818631ee2653f27af8", + "public_url": None, + }, + ] + + +@pytest.fixture(scope="session") +def event_loop(request: pytest.FixtureRequest): + loop = asyncio.get_event_loop_policy().new_event_loop() + yield loop + loop.close() + + +@pytest_asyncio.fixture(scope="session") +async def sync_engine(): + engine = create_engine( + "postgresql://" + pg_database_base_url, + echo=True if os.getenv("ORM_DEBUG") else False, + pool_pre_ping=True, + pool_size=10, + pool_recycle=0.1, + ) + + yield engine + + +@pytest_asyncio.fixture() +async def sync_session(sync_engine): + with sync_engine.connect() as conn: + conn.begin() + conn.begin_nested() + sync_session = Session(conn, expire_on_commit=False) + + @sqlalchemy.event.listens_for(sync_session, "after_transaction_end") + def end_savepoint(session, transaction): + if conn.closed: + return + if not conn.in_nested_transaction(): + conn.sync_connection.begin_nested() + + yield sync_session + + +@pytest.fixture +def search_result(): + return [ + { + "object": "page", + "id": "77b34b29-96f5-487c-b594-ba69cbb951c0", + "created_time": "2024-07-29T16:58:00.000Z", + "last_edited_time": "2024-07-30T07:46:00.000Z", + "created_by": { + "object": "user", + "id": "c8de6079-cc5a-4b46-8763-04f92b33fc18", + }, + "last_edited_by": { + "object": "user", + "id": "c8de6079-cc5a-4b46-8763-04f92b33fc18", + }, + "cover": None, + "icon": {"type": "emoji", "emoji": ":brain:"}, + "parent": { + "type": "page_id", + "page_id": "6df769b6-3849-4141-b61c-14f0f6d4fa43", + }, + "archived": False, + "in_trash": False, + "properties": { + "title": { + "id": "title", + "type": "title", + "title": [ + { + "type": "text", + "text": {"content": "MEDDPICC", "link": None}, + "annotations": { + "bold": False, + "italic": False, + "strikethrough": False, + "underline": False, + "code": False, + "color": "default", + }, + "plain_text": "MEDDPICC", + "href": None, + } + ], + } + }, + "url": "https://www.notion.so/MEDDPICC-77b34b2996f5487cb594ba69cbb951c0", + "public_url": None, + } + ] + + +@pytest_asyncio.fixture(scope="session") +async def async_engine(): + engine = create_async_engine( + "postgresql+asyncpg://" + pg_database_base_url, + echo=True if os.getenv("ORM_DEBUG") else False, + future=True, + pool_pre_ping=True, + pool_size=10, + pool_recycle=0.1, + ) + yield engine + + +@pytest_asyncio.fixture() +async def session(async_engine): + async with async_engine.connect() as conn: + await conn.begin() + await conn.begin_nested() + async_session = AsyncSession(conn, expire_on_commit=False) + + @sqlalchemy.event.listens_for( + async_session.sync_session, "after_transaction_end" + ) + def end_savepoint(session, transaction): + if conn.closed: + return + if not conn.in_nested_transaction(): + conn.sync_connection.begin_nested() + + yield async_session + + +@pytest.fixture +def user_1(sync_session) -> User: + user_1 = ( + sync_session.exec(select(User).where(User.email == "admin@quivr.app")) + ).one() + return user_1 + + +@pytest.fixture( + params=[ + PageParent(type="page_id", page_id=uuid4()), + WorkspaceParent(type="workspace", workspace=True), + ] +) +def notion_search_result(request) -> NotionSearchResult: + return NotionSearchResult( + results=[ + NotionPage( + id=uuid4(), + created_time=datetime.now(), + last_edited_time=datetime.now(), + url="url", + archived=False, + in_trash=False, + public_url=None, + parent=request.param, + cover=None, + icon=None, + properties=PageProps( + title=Title( + id="id_title", + type="title", + title=[ + TitleItem( + type="text", + text=TextContent( + content="title", + link=None, + ), + annotations={}, + plain_text="", + ) + ], + ) + ), + ) + ], + has_more=False, + next_cursor=None, + ) + + +@pytest.fixture( + params=[ + DatabaseParent(type="database_id", database_id=uuid4()), + BlockParent(type="block_id", block_id=uuid4()), + ] +) +def notion_search_result_bad_parent(request) -> NotionSearchResult: + return NotionSearchResult( + results=[ + NotionPage( + id=uuid4(), + created_time=datetime.now(), + last_edited_time=datetime.now(), + url="url", + archived=False, + in_trash=False, + public_url=None, + parent=request.param, + cover=None, + icon=None, + properties=PageProps( + title=Title( + id="id_title", + type="title", + title=[ + TitleItem( + type="text", + text=TextContent( + content="title", + link=None, + ), + annotations={}, + plain_text="", + ) + ], + ) + ), + ) + ], + has_more=False, + next_cursor=None, + ) diff --git a/backend/api/quivr_api/modules/sync/tests/page.json b/backend/api/quivr_api/modules/sync/tests/page.json new file mode 100644 index 000000000000..84eaa2764443 --- /dev/null +++ b/backend/api/quivr_api/modules/sync/tests/page.json @@ -0,0 +1,71 @@ +{ + "object": "page", + "id": "be633bf1-dfa0-436d-b259-571129a590e5", + "created_time": "2022-10-24T22:54:00.000Z", + "last_edited_time": "2023-03-08T18:25:00.000Z", + "created_by": { + "object": "user", + "id": "c2f20311-9e54-4d11-8c79-7398424ae41e" + }, + "last_edited_by": { + "object": "user", + "id": "9188c6a5-7381-452f-b3dc-d4865aa89bdf" + }, + "cover": null, + "icon": { + "type": "emoji", + "emoji": "🐞" + }, + + "parent": { + "type": "database_id", + "database_id": "a1d8501e-1ac1-43e9-a6bd-ea9fe6c8822b" + }, + "archived": true, + "in_trash": true, + "properties": { + "Due date": { + "id": "M%3BBw", + "type": "date", + "date": { + "start": "2023-02-23", + "end": null, + "time_zone": null + } + }, + "Status": { + "id": "Z%3ClH", + "type": "status", + "status": { + "id": "86ddb6ec-0627-47f8-800d-b65afd28be13", + "name": "Not started", + "color": "default" + } + }, + "Title": { + "id": "title", + "type": "title", + "title": [ + { + "type": "text", + "text": { + "content": "Bug bash", + "link": null + }, + "annotations": { + "bold": false, + "italic": false, + "strikethrough": false, + "underline": false, + "code": false, + "color": "default" + }, + "plain_text": "Bug bash", + "href": null + } + ] + } + }, + "url": "https://www.notion.so/Bug-bash-be633bf1dfa0436db259571129a590e5", + "public_url": "https://jm-testing.notion.site/p1-6df2c07bfc6b4c46815ad205d132e22d" +} diff --git a/backend/api/quivr_api/modules/sync/tests/test_notion_service.py b/backend/api/quivr_api/modules/sync/tests/test_notion_service.py new file mode 100644 index 000000000000..2ae6dfc4f0af --- /dev/null +++ b/backend/api/quivr_api/modules/sync/tests/test_notion_service.py @@ -0,0 +1,106 @@ +from datetime import datetime + +import httpx +import pytest +from notion_client.client import Client +from sqlmodel.ext.asyncio.session import AsyncSession + +from quivr_api.modules.brain.integrations.Notion.Notion_connector import NotionPage +from quivr_api.modules.sync.entity.notion_page import NotionSearchResult +from quivr_api.modules.sync.repository.sync_repository import NotionRepository +from quivr_api.modules.sync.service.sync_notion import ( + SyncNotionService, + fetch_limit_notion_pages, + fetch_notion_pages, + store_notion_pages, +) +from quivr_api.modules.user.entity.user_identity import User + +pg_database_base_url = "postgres:postgres@localhost:54322/postgres" + + +def test_deserialize_notion_page(fetch_response): + page = NotionPage.model_validate(fetch_response[0]) # type: ignore + assert page + + +def test_fetch_notion_pages(fetch_response): + def handler(request): + return httpx.Response( + 200, + json={"results": fetch_response, "has_more": False, "next_cursor": None}, + ) + + _client = httpx.Client(transport=httpx.MockTransport(handler)) + notion_client = Client(client=_client) + + result = fetch_notion_pages(notion_client) + assert len(result.results) == 2 + assert not result.has_more + assert result.next_cursor is None + + +# TODO(@aminediro): test more cases: noresponse, error, no has_more .. +def test_fetch_limit_notion_pages(fetch_response): + def handler(request): + return httpx.Response( + 200, + json={"results": fetch_response, "has_more": False, "next_cursor": None}, + ) + + _client = httpx.Client(transport=httpx.MockTransport(handler)) + notion_client = Client(client=_client) + + result = fetch_limit_notion_pages( + notion_client=notion_client, + last_sync_time=datetime(1970, 1, 1, 0, 0, 0), # UNIX EPOCH + ) + + assert len(result) == len(fetch_response) + + +def test_fetch_limit_notion_pages_now(fetch_response): + def handler(request): + return httpx.Response( + 200, + json={"results": fetch_response, "has_more": False, "next_cursor": None}, + ) + + _client = httpx.Client(transport=httpx.MockTransport(handler)) + notion_client = Client(client=_client) + + result = fetch_limit_notion_pages(notion_client, datetime.now()) + + assert len(result) == 0 + + +@pytest.mark.asyncio +async def test_store_notion_pages_success( + session: AsyncSession, notion_search_result: NotionSearchResult, user_1: User +): + assert user_1.id + notion_repository = NotionRepository(session) + notion_service = SyncNotionService(notion_repository) + sync_files = await store_notion_pages( + notion_search_result.results, notion_service, user_1.id + ) + assert sync_files + assert len(sync_files) == 1 + assert sync_files[0].notion_id == notion_search_result.results[0].id + assert sync_files[0].mime_type == "md" + assert sync_files[0].notion_id == notion_search_result.results[0].id + + +@pytest.mark.asyncio +async def test_store_notion_pages_fail( + session: AsyncSession, + notion_search_result_bad_parent: NotionSearchResult, + user_1: User, +): + assert user_1.id + notion_repository = NotionRepository(session) + notion_service = SyncNotionService(notion_repository) + sync_files = await store_notion_pages( + notion_search_result_bad_parent.results, notion_service, user_1.id + ) + assert len(sync_files) == 0 diff --git a/backend/api/quivr_api/modules/sync/utils/sync.py b/backend/api/quivr_api/modules/sync/utils/sync.py index ed3e527fabf8..7ee1777a9445 100644 --- a/backend/api/quivr_api/modules/sync/utils/sync.py +++ b/backend/api/quivr_api/modules/sync/utils/sync.py @@ -1,25 +1,31 @@ +import asyncio import json import os import time from abc import ABC, abstractmethod from datetime import datetime from io import BytesIO -from typing import Any, Dict, List, Union +from typing import Any, Dict, List, Optional, Union import dropbox +import markdownify import msal -import requests +import redis # type: ignore +import requests # type: ignore from fastapi import HTTPException from google.auth.transport.requests import Request as GoogleRequest from google.oauth2.credentials import Credentials from googleapiclient.discovery import build +from notion_client import Client from requests import HTTPError from quivr_api.logger import get_logger -from quivr_api.modules.sync.entity.sync import SyncFile +from quivr_api.modules.sync.entity.sync_models import SyncFile +from quivr_api.modules.sync.service.sync_notion import SyncNotionService from quivr_api.modules.sync.utils.normalize import remove_special_characters logger = get_logger(__name__) +redis_client = redis.Redis(host="redis", port=int(os.getenv("REDIS_PORT", 6379)), db=0) class BaseSync(ABC): @@ -31,12 +37,24 @@ class BaseSync(ABC): def get_files_by_id(self, credentials: Dict, file_ids: List[str]) -> List[SyncFile]: raise NotImplementedError + @abstractmethod + async def aget_files_by_id( + self, credentials: Dict, file_ids: List[str] + ) -> List[SyncFile]: + pass + @abstractmethod def get_files( self, credentials: Dict, folder_id: str | None = None, recursive: bool = False ) -> List[SyncFile]: raise NotImplementedError + @abstractmethod + async def aget_files( + self, credentials: Dict, folder_id: str | None = None, recursive: bool = False + ) -> List[SyncFile]: + pass + @abstractmethod def check_and_refresh_access_token(self, credentials: dict) -> Dict: raise NotImplementedError @@ -47,6 +65,12 @@ def download_file( ) -> Dict[str, Union[str, BytesIO]]: raise NotImplementedError + @abstractmethod + async def adownload_file( + self, credentials: Dict, file: SyncFile + ) -> Dict[str, Union[str, BytesIO]]: + pass + class GoogleDriveSync(BaseSync): name = "Google Drive" @@ -75,7 +99,7 @@ def download_file( # Convert Google Docs files to appropriate formats before downloading if mime_type == "application/vnd.google-apps.document": - logger.debug( + logger.info( "Converting Google Docs file with file_id: %s to DOCX.", file_id, ) @@ -85,7 +109,7 @@ def download_file( ) file_name += ".docx" elif mime_type == "application/vnd.google-apps.spreadsheet": - logger.debug( + logger.info( "Converting Google Sheets file with file_id: %s to XLSX.", file_id, ) @@ -95,7 +119,7 @@ def download_file( ) file_name += ".xlsx" elif mime_type == "application/vnd.google-apps.presentation": - logger.debug( + logger.info( "Converting Google Slides file with file_id: %s to PPTX.", file_id, ) @@ -127,6 +151,11 @@ def download_file( file_data = request.execute() return {"file_name": file_name, "content": BytesIO(file_data)} + async def adownload_file( + self, credentials: Dict, file: SyncFile + ) -> Dict[str, Union[str, BytesIO]]: + return self.download_file(credentials, file) + def get_files_by_id(self, credentials: Dict, file_ids: List[str]) -> List[SyncFile]: """ Retrieve files from Google Drive by their IDs. @@ -179,6 +208,11 @@ def get_files_by_id(self, credentials: Dict, file_ids: List[str]) -> List[SyncFi ) raise Exception("Failed to retrieve files") + async def aget_files_by_id( + self, credentials: Dict, file_ids: List[str] + ) -> List[SyncFile]: + return self.get_files_by_id(credentials, file_ids) + def get_files( self, credentials: dict, folder_id: str | None = None, recursive: bool = False ) -> List[SyncFile]: @@ -264,6 +298,11 @@ def get_files( ) raise Exception("Failed to retrieve files") + async def aget_files( + self, credentials: Dict, folder_id: str | None = None, recursive: bool = False + ) -> List[SyncFile]: + return self.get_files(credentials, folder_id, recursive) + class AzureDriveSync(BaseSync): name = "Share Point" @@ -394,9 +433,11 @@ def fetch_files(endpoint, headers, max_retries=1): for item in items: file_data = SyncFile( name=item.get("name") if site_folder_id else item.get("displayName"), - id=f'{item.get("id", {}).split(",")[1]}:' - if not site_folder_id - else f'{site_id}:{item.get("id")}', + id=( + f'{item.get("id", {}).split(",")[1]}:' + if not site_folder_id + else f'{site_id}:{item.get("id")}' + ), is_folder="folder" in item or not site_folder_id, last_modified=item.get("lastModifiedDateTime"), mime_type=item.get("file", {}).get("mimeType", "folder"), @@ -427,6 +468,11 @@ def fetch_files(endpoint, headers, max_retries=1): logger.info("Azure Drive files retrieved successfully: %s", len(files)) return files + async def aget_files( + self, credentials: Dict, folder_id: str | None = None, recursive: bool = False + ) -> List[SyncFile]: + return self.get_files(credentials, folder_id, recursive) + def get_files_by_id(self, credentials: dict, file_ids: List[str]) -> List[SyncFile]: """ Retrieve files from Azure Drive by their IDs. @@ -482,6 +528,11 @@ def get_files_by_id(self, credentials: dict, file_ids: List[str]) -> List[SyncFi logger.info("Azure Drive files retrieved successfully: %s", len(files)) return files + async def aget_files_by_id( + self, credentials: Dict, file_ids: List[str] + ) -> List[SyncFile]: + return self.get_files_by_id(credentials, file_ids) + def download_file( self, credentials: Dict, file: SyncFile ) -> Dict[str, Union[str, BytesIO]]: @@ -503,6 +554,11 @@ def download_file( ) return {"file_name": file_name, "content": BytesIO(download_response.content)} + async def adownload_file( + self, credentials: Dict, file: SyncFile + ) -> Dict[str, Union[str, BytesIO]]: + return self.download_file(credentials, file) + class DropboxSync(BaseSync): name = "Dropbox" @@ -528,7 +584,7 @@ def check_and_refresh_access_token(self, credentials: Dict) -> Dict: return credentials def get_files( - self, credentials: Dict, folder_id: str = "", recursive: bool = False + self, credentials: Dict, folder_id: str | None = "", recursive: bool = False ) -> List[SyncFile]: """ Retrieve files from Dropbox. @@ -605,6 +661,11 @@ def fetch_files(metadata): logger.error("Unexpected error: %s", e) raise Exception("Failed to retrieve files") + async def aget_files( + self, credentials: Dict, folder_id: str | None = None, recursive: bool = False + ) -> List[SyncFile]: + return self.get_files(credentials, folder_id, recursive) + def get_files_by_id( self, credentials: Dict[str, str], file_ids: List[str] ) -> List[SyncFile]: @@ -673,6 +734,11 @@ def get_files_by_id( logger.error("Unexpected error: %s", e) raise Exception("Failed to retrieve files") + async def aget_files_by_id( + self, credentials: Dict, file_ids: List[str] + ) -> List[SyncFile]: + return self.get_files_by_id(credentials, file_ids) + def download_file( self, credentials: Dict, file: SyncFile ) -> Dict[str, Union[str, BytesIO]]: @@ -684,6 +750,230 @@ def download_file( metadata, file_data = self.dbx.files_download(file_id) # type: ignore return {"file_name": file_name, "content": BytesIO(file_data.content)} + async def adownload_file( + self, credentials: Dict, file: SyncFile + ) -> Dict[str, Union[str, BytesIO]]: + return self.download_file(credentials, file) + + +class NotionSync(BaseSync): + name = "Notion" + lower_name = "notion" + notion: Optional[Client] = None + datetime_format: str = "%Y-%m-%d %H:%M:%S%z" + notion_service: SyncNotionService + + def __init__(self, notion_service: SyncNotionService): + self.notion_service = notion_service + super().__init__() + + def link_notion(self, credentials) -> Client: + return Client(auth=credentials["access_token"]) + + def check_and_refresh_access_token(self, credentials: Dict) -> Dict: + if not self.notion: + self.notion = self.link_notion(credentials) + # no need to refresh token for notion + return credentials + + async def aget_files( + self, credentials: Dict, folder_id: str | None = None, recursive: bool = False + ) -> List[SyncFile]: + pages = [] + + if not self.notion: + self.link_notion(credentials) + + if not folder_id or folder_id == "": + folder_id = None # ROOT FOLDER HAVE A TRUE PARENT ID + + children = await self.notion_service.get_notion_files_by_parent_id(folder_id) + for page in children: + page_info = SyncFile( + name=page.name, + id=str(page.notion_id), + is_folder=await self.notion_service.is_folder_page(page.notion_id), + last_modified=str(page.last_modified), + mime_type=page.mime_type, + web_view_link=page.web_view_link, + icon=page.icon, + ) + redis_client.set(str(page.id), json.dumps(page_info.model_dump_json())) + + pages.append(page_info) + + if recursive: + sub_pages = await self.aget_files(credentials, str(page.id), recursive) + pages.extend(sub_pages) + return pages + + def get_files( + self, credentials: Dict, folder_id: str | None = None, recursive: bool = False + ) -> List[SyncFile]: + loop = asyncio.get_event_loop() + result = loop.run_until_complete( + self.aget_files(credentials, folder_id, recursive) + ) + + loop.close() + + return result + + async def aget_files_by_id( + self, credentials: Dict, file_ids: List[str] + ) -> List[SyncFile]: + logger.info("Retrieving Notion files by file_ids: %s", file_ids) + files = [] + pages = await self.notion_service.get_notion_files_by_ids(file_ids) + + for page in pages: + try: + page_info = SyncFile( + name=page.name, + id=str(page.notion_id), + is_folder=await self.notion_service.is_folder_page(page.notion_id), + last_modified=str(page.last_modified), + mime_type=page.mime_type, + web_view_link=page.web_view_link, + icon=page.icon, + ) + files.append(page_info) + + except Exception as e: + logger.error("Error retrieving Notion file with ID %s: %s", page.id, e) + continue # Skip this file and proceed with the next one + + logger.info("Notion files retrieved successfully by IDs: %d", len(files)) + return files + + def get_files_by_id(self, credentials: Dict, file_ids: List[str]) -> List[SyncFile]: + loop = asyncio.get_event_loop() + result = loop.run_until_complete(self.aget_files_by_id(credentials, file_ids)) + loop.close() + return result + + def get_block_content(self, block): + block_type = block["type"] + result = "" + + if block_type == "image": + return "![Image](%s)" % block["image"]["file"]["url"] + if "rich_text" not in block[block_type]: + if "title" not in block[block_type]: + return "--- ---" + return f'{block[block_type]["title"]} {": database" if block_type == "child_database" else ": linked page"}' + + if len(block[block_type]["rich_text"]) == 0: + return "" + + if block_type == "paragraph": + result = markdownify.markdownify( + block["paragraph"]["rich_text"][0]["plain_text"] + ) + + elif block_type == "heading_1": + result = "# " + markdownify.markdownify( + block["heading_1"]["rich_text"][0]["plain_text"] + ) + + elif block_type == "heading_2": + result = "## " + markdownify.markdownify( + block["heading_2"]["rich_text"][0]["plain_text"] + ) + elif block_type == "heading_3": + result = "### " + markdownify.markdownify( + block["heading_3"]["rich_text"][0]["plain_text"] + ) + elif block_type == "bulleted_list_item": + result = "* " + markdownify.markdownify( + block["bulleted_list_item"]["rich_text"][0]["plain_text"] + ) + + elif block_type == "numbered_list_item": + result = "1. " + markdownify.markdownify( + block["numbered_list_item"]["rich_text"][0]["plain_text"] + ) + elif block_type == "to_do": + checked = "x" if block["to_do"]["checked"] else " " + result = f"- [{checked}] " + markdownify.markdownify( + block["to_do"]["rich_text"][0]["plain_text"] + ) + elif block_type == "toggle": + result = "> " + markdownify.markdownify( + block["toggle"]["rich_text"][0]["plain_text"] + ) + + elif block_type == "quote": + result = "> " + markdownify.markdownify( + block["quote"]["rich_text"][0]["plain_text"] + ) + elif block_type == "code": + result = ( + "```" + + block["code"]["language"] + + "\n" + + markdownify.markdownify(block["code"]["rich_text"][0]["plain_text"]) + + "\n```" + ) + + elif block_type == "callout": + result = "> " + markdownify.markdownify( + block["callout"]["rich_text"][0]["plain_text"] + ) + else: + result = markdownify.markdownify( + block[block_type]["rich_text"][0]["plain_text"] + ) + + return result + + async def adownload_file( + self, credentials: Dict, file: SyncFile + ) -> Dict[str, Union[str, BytesIO]]: + if not self.notion: + self.notion = self.link_notion(credentials) + + logger.info("Downloading Notion file (page) with ID %s", file.id) + + try: + + async def retrieve_page_content(page_id) -> List[str]: + blocks = self.notion.blocks.children.list(page_id) # type: ignore + + blocks = blocks["results"] # type: ignore + if not blocks: + raise Exception("Page does not exist") + + markdown_content = [] + for block in blocks: + markdown_content.append(self.get_block_content(block)) + if block["has_children"]: + sub_elements = [ + f"\t{content}" + for content in await retrieve_page_content(block["id"]) + ] + markdown_content.extend(sub_elements) + return markdown_content + + markdown_content = await retrieve_page_content(file.id) + markdown_text = "\n\n".join(markdown_content) + + markdown_bytes = BytesIO(markdown_text.encode("utf-8")) + + return {"file_name": f"{file.name}", "content": markdown_bytes} + + except Exception as e: + logger.error( + "Error downloading Notion file (page) with ID %s: %s", file.id, e + ) + raise Exception("Failed to download file") + + def download_file( + self, credentials: Dict, file: SyncFile + ) -> Dict[str, Union[str, BytesIO]]: + loop = asyncio.get_event_loop() + return loop.run_until_complete(self.adownload_file(credentials, file)) + class GitHubSync(BaseSync): name = "GitHub" @@ -725,6 +1015,11 @@ def get_files( else: return self.list_github_repos(credentials, recursive=recursive) + async def aget_files( + self, credentials: Dict, folder_id: str | None = None, recursive: bool = False + ) -> List[SyncFile]: + return self.get_files(credentials, folder_id, recursive) + def get_files_by_id(self, credentials: Dict, file_ids: List[str]) -> List[SyncFile]: token_data = self.get_github_token_data(credentials) headers = self.get_github_headers(token_data) @@ -758,6 +1053,11 @@ def get_files_by_id(self, credentials: Dict, file_ids: List[str]) -> List[SyncFi logger.info("GitHub files retrieved successfully: %s", len(files)) return files + async def aget_files_by_id( + self, credentials: Dict, file_ids: List[str] + ) -> List[SyncFile]: + return self.get_files_by_id(credentials, file_ids) + def download_file( self, credentials: Dict, file: SyncFile ) -> Dict[str, Union[str, BytesIO]]: @@ -785,6 +1085,9 @@ def download_file( return {"file_name": file.name, "content": BytesIO(file_content)} + async def adownload_file(self, credentials: Dict, file: SyncFile): + return self.download_file(credentials, file) + def list_github_repos(self, credentials, recursive=False): def fetch_repos(endpoint, headers): response = requests.get(endpoint, headers=headers) diff --git a/backend/api/quivr_api/modules/sync/utils/syncutils.py b/backend/api/quivr_api/modules/sync/utils/syncutils.py index fa87121018ec..bf88ae51b113 100644 --- a/backend/api/quivr_api/modules/sync/utils/syncutils.py +++ b/backend/api/quivr_api/modules/sync/utils/syncutils.py @@ -1,13 +1,15 @@ -import uuid -from datetime import datetime, timedelta, timezone -from typing import List - -from fastapi import UploadFile -from pydantic import BaseModel, ConfigDict +import io +import os +from datetime import datetime, timezone +from typing import Any, List, Tuple +from uuid import UUID, uuid4 +from quivr_api.celery_config import celery from quivr_api.logger import get_logger from quivr_api.modules.brain.repository.brains_vectors import BrainsVectors +from quivr_api.modules.knowledge.dto.inputs import CreateKnowledgeProperties from quivr_api.modules.knowledge.repository.storage import Storage +from quivr_api.modules.knowledge.service.knowledge_service import KnowledgeService from quivr_api.modules.notification.dto.inputs import ( CreateNotification, NotificationUpdatableProperties, @@ -16,57 +18,95 @@ from quivr_api.modules.notification.service.notification_service import ( NotificationService, ) -from quivr_api.modules.sync.dto.inputs import ( - SyncFileInput, - SyncFileUpdateInput, - SyncsActiveUpdateInput, +from quivr_api.modules.sync.dto.inputs import SyncsActiveUpdateInput +from quivr_api.modules.sync.entity.sync_models import ( + DBSyncFile, + DownloadedSyncFile, + SyncFile, + SyncsActive, + SyncsUser, ) -from quivr_api.modules.sync.entity.sync import SyncFile -from quivr_api.modules.sync.repository.sync_files import SyncFiles +from quivr_api.modules.sync.repository.sync_files import SyncFilesRepository from quivr_api.modules.sync.service.sync_service import SyncService, SyncUserService from quivr_api.modules.sync.utils.sync import BaseSync -from quivr_api.modules.sync.utils.upload import upload_file -from quivr_api.modules.upload.service.upload_file import check_file_exists +from quivr_api.modules.upload.service.upload_file import ( + check_file_exists, + upload_file_storage, +) -notification_service = NotificationService() logger = get_logger(__name__) +celery_inspector = celery.control.inspect() -class SyncUtils(BaseModel): - model_config = ConfigDict(arbitrary_types_allowed=True) - sync_user_service: SyncUserService - sync_active_service: SyncService - sync_files_repo: SyncFiles - storage: Storage - sync_cloud: BaseSync +# NOTE: we are filtering based on file path names in sync ! +def filter_on_supported_files( + files: list[SyncFile], existing_files: dict[str, DBSyncFile] +) -> list[Tuple[SyncFile, DBSyncFile | None]]: + res = [] + for new_file in files: + prev_file = existing_files.get(new_file.name, None) + if (prev_file and prev_file.supported) or prev_file is None: + res.append((new_file, prev_file)) - async def _upload_files( - self, - credentials: dict, - files: List[SyncFile], - current_user: str, - brain_id: str, - sync_active_id: int, - ): - """ - Download files from an external cloud. + return res - Args: - credentials (dict): The token data for accessing the external cloud. - files (list): The list of file metadata to download. - Returns: - dict: A dictionary containing the status of the download or an error message. - """ +def should_download_file( + file: SyncFile, + last_updated_sync_active: datetime | None, + provider_name: str, + brain_id: UUID, + datetime_format: str, +) -> bool: + file_last_modified_utc = datetime.strptime( + file.last_modified, datetime_format + ).replace(tzinfo=timezone.utc) - # credentials = self.sync_cloud.check_and_refresh_access_token(credentials) + should_download = ( + not last_updated_sync_active + or file_last_modified_utc > last_updated_sync_active + ) + # FIXME(@chloedia @AmineDiro): File should already have its path or be None if new file + should_download &= not check_file_exists(str(brain_id), file.name) - downloaded_files = [] - bulk_id = uuid.uuid4() + # TODO: Handle notion database + if provider_name == "notion": + should_download &= file.mime_type != "db" + else: + should_download &= not file.is_folder + + return should_download + +class SyncUtils: + def __init__( + self, + sync_user_service: SyncUserService, + sync_active_service: SyncService, + knowledge_service: KnowledgeService, + sync_files_repo: SyncFilesRepository, + storage: Storage, + sync_cloud: BaseSync, + notification_service: NotificationService, + brain_vectors: BrainsVectors, + ) -> None: + self.sync_user_service = sync_user_service + self.sync_active_service = sync_active_service + self.knowledge_service = knowledge_service + self.sync_files_repo = sync_files_repo + self.storage = storage + self.sync_cloud = sync_cloud + self.notification_service = notification_service + self.brain_vectors = brain_vectors + + def create_sync_bulk_notification( + self, files: list[SyncFile], current_user: UUID, brain_id: UUID, bulk_id: UUID + ) -> list[SyncFile]: + res = [] + # TODO: bulk insert in batch for file in files: - upload_notification = notification_service.add_notification( + upload_notification = self.notification_service.add_notification( CreateNotification( user_id=current_user, bulk_id=bulk_id, @@ -76,124 +116,167 @@ async def _upload_files( brain_id=str(brain_id), ) ) - file.notification_id = str(upload_notification.id) + file.notification_id = upload_notification.id + res.append(file) + return res + + async def download_file( + self, file: SyncFile, credentials: dict[str, Any] + ) -> DownloadedSyncFile: + logger.info(f"Downloading {file} using {self.sync_cloud}") + file_response = await self.sync_cloud.adownload_file(credentials, file) + logger.debug(f"Fetch sync file response: {file_response}") + file_name = str(file_response["file_name"]) + raw_data = file_response["content"] + assert isinstance(raw_data, io.BytesIO) + file_data = ( + io.BufferedReader(raw_data) # type: ignore + if isinstance(raw_data, io.BytesIO) + else io.BufferedReader(raw_data.encode("utf-8")) # type: ignore + ) - for file in files: - logger.info("Processing file: %s", file.name) - try: - file_id = file.id - file_name = file.name - mime_type = file.mime_type - modified_time = file.last_modified - - file_response = self.sync_cloud.download_file(credentials, file) - file_name = file_response["file_name"] - file_data = file_response["content"] - # Check if the file already exists in the storage - if check_file_exists(brain_id, file_name): - logger.debug("%s already exists in the storage", file_name) - - self.storage.remove_file(brain_id + "/" + file_name) - BrainsVectors().delete_file_from_brain(brain_id, file_name) - - # Check if the file extension is compatible - if file_name.split(".")[-1] not in [ - "pdf", - "txt", - "md", - "csv", - "docx", - "xlsx", - "pptx", - "doc", - ]: - logger.info("File is not compatible: %s", file_name) - continue - - to_upload_file = UploadFile( - file=file_data, - filename=file_name, - ) + extension = os.path.splitext(file_name)[-1].lower() + dfile = DownloadedSyncFile( + file_name=file_name, file_data=file_data, extension=extension + ) + logger.debug(f"Successfully downloded sync file : {dfile}") + return dfile + + async def process_sync_file( + self, + file: SyncFile, + previous_file: DBSyncFile | None, + current_user: SyncsUser, + sync_active: SyncsActive, + ): + logger.info("Processing file: %s", file.name) + brain_id = sync_active.brain_id + integration, integration_link = self.sync_cloud.name, file.web_view_link + downloaded_file = await self.download_file(file, current_user.credentials) + storage_path = str(brain_id) + "/" + downloaded_file.file_name + + if downloaded_file.extension not in [ + ".pdf", + ".txt", + ".md", + ".csv", + ".docx", + ".xlsx", + ".pptx", + ".doc", + ]: + raise ValueError(f"Incompatible file extension for {downloaded_file}") + + # TODO: Check workflow is correct + # FIXME(@aminediro, @chloedia): Checks should use file_sha1 in database + file_exists = check_file_exists(str(brain_id), downloaded_file.file_name) + # if file_exists: + # self.brain_vectors.delete_file_from_brain( + # brain_id, downloaded_file.file_name + # ) + # FIXME(@aminediro): check_user_limits() + # FIXME(@chloedia) : change with knowledge_id + # FILE Extension should be field + # Upload File to S3 Storage + response = await upload_file_storage( + downloaded_file.file_data, + storage_path, + upsert=file_exists, + ) + + assert response, f"Error uploading {downloaded_file} to {storage_path}" + self.notification_service.update_notification_by_id( + file.notification_id, + NotificationUpdatableProperties( + status=NotificationsStatusEnum.SUCCESS, + description="File downloaded successfully", + ), + ) + knowledge_to_add = CreateKnowledgeProperties( + brain_id=brain_id, + file_name=file.name, + mime_type=downloaded_file.extension, + source=integration, + source_link=integration_link, + ) - # Check if the file already exists in the database - existing_files = self.sync_files_repo.get_sync_files(sync_active_id) - existing_file = next( - (f for f in existing_files if f.path == file_name), None + added_knowledge = await self.knowledge_service.add_knowledge(knowledge_to_add) + # Send file for processing + celery.send_task( + "process_file_task", + kwargs={ + "brain_id": brain_id, + "knowledge_id": added_knowledge.id, + "file_name": storage_path, + "file_original_name": file.name, + "source": integration, + "source_link": integration_link, + "notification_id": file.notification_id, + }, + ) + self.sync_files_repo.update_or_create_sync_file( + file=file, + previous_file=previous_file, + sync_active=sync_active, + supported=True, + ) + return file + + async def process_sync_files( + self, + files: List[SyncFile], + current_user: SyncsUser, + sync_active: SyncsActive, + ): + logger.info(f"Processing {len(files)} for sync_active: {sync_active.id}") + current_user.credentials = self.sync_cloud.check_and_refresh_access_token( + current_user.credentials + ) + + bulk_id = uuid4() + downloaded_files = [] + list_existing_files = self.sync_files_repo.get_sync_files(sync_active.id) + existing_files = {f.path: f for f in list_existing_files} + + supported_files = filter_on_supported_files(files, existing_files) + + files = self.create_sync_bulk_notification( + files, current_user.user_id, sync_active.brain_id, bulk_id + ) + + for file, prev_file in supported_files: + try: + result = await self.process_sync_file( + file=file, + previous_file=prev_file, + current_user=current_user, + sync_active=sync_active, ) + if result is not None: + downloaded_files.append(result) - supported = False - if (existing_file and existing_file.supported) or not existing_file: - supported = True - await upload_file( - to_upload_file, - brain_id, - current_user, - bulk_id, - self.sync_cloud.name, - file.web_view_link, - notification_id=file.notification_id, - ) - - if existing_file: - # Update the existing file record - self.sync_files_repo.update_sync_file( - existing_file.id, - SyncFileUpdateInput( - last_modified=modified_time, - supported=supported, - ), - ) - else: - # Create a new file record - self.sync_files_repo.create_sync_file( - SyncFileInput( - path=file_name, - syncs_active_id=sync_active_id, - last_modified=modified_time, - brain_id=brain_id, - supported=supported, - ) - ) - - downloaded_files.append(file_name) - notification_service.update_notification_by_id( + self.notification_service.update_notification_by_id( file.notification_id, NotificationUpdatableProperties( status=NotificationsStatusEnum.SUCCESS, description="File downloaded successfully", ), ) - except Exception as error: + + except Exception as e: logger.error( - "An error occurred while downloading %s files: %s", + "An error occurred while syncing %s files: %s", self.sync_cloud.name, - error, + e, ) - # Check if the file already exists in the database - existing_files = self.sync_files_repo.get_sync_files(sync_active_id) - existing_file = next( - (f for f in existing_files if f.path == file.name), None + # NOTE: Supported is True + self.sync_files_repo.update_or_create_sync_file( + file=file, + sync_active=sync_active, + previous_file=prev_file, + supported=False, ) - # Update the existing file record - if existing_file: - self.sync_files_repo.update_sync_file( - existing_file.id, - SyncFileUpdateInput( - supported=False, - ), - ) - else: - # Create a new file record - self.sync_files_repo.create_sync_file( - SyncFileInput( - path=file.name, - syncs_active_id=sync_active_id, - last_modified=file.last_modified, - brain_id=brain_id, - supported=False, - ) - ) - notification_service.update_notification_by_id( + self.notification_service.update_notification_by_id( file.notification_id, NotificationUpdatableProperties( status=NotificationsStatusEnum.ERROR, @@ -203,155 +286,131 @@ async def _upload_files( return {"downloaded_files": downloaded_files} - async def sync(self, sync_active_id: int, user_id: str): - """ - Check if the Specific sync has not been synced and download the folders and files based on the settings. - - Args: - sync_active_id (int): The ID of the active sync. - user_id (str): The user ID associated with the active sync. - """ - - # Retrieve the active sync details - sync_active = self.sync_active_service.get_details_sync_active(sync_active_id) - if not sync_active: - logger.warning( - "No active sync found for sync_active_id: %s", sync_active_id - ) - return None - - # Check if the sync is due - last_synced = sync_active.get("last_synced") - force_sync = sync_active.get("force_sync", False) - sync_interval_minutes = sync_active.get("sync_interval_minutes", 0) - if last_synced and not force_sync: - last_synced_time = datetime.fromisoformat(last_synced).astimezone( - timezone.utc - ) - current_time = datetime.now().astimezone() - - # Debug logging to check the values - logger.debug("Last synced time (UTC): %s", last_synced_time) - logger.debug("Current time (local timezone): %s", current_time) - - # Convert current_time to UTC for comparison - current_time_utc = current_time.astimezone(timezone.utc) - logger.debug("Current time (UTC): %s", current_time_utc) - time_difference = current_time_utc - last_synced_time - if time_difference < timedelta(minutes=sync_interval_minutes): - logger.info( - "%s sync is not due for sync_active_id: %s", - self.sync_cloud.name, - sync_active_id, - ) - return None + async def get_files_to_download( + self, sync_active: SyncsActive, user_sync: SyncsUser + ) -> list[SyncFile]: + # Get the folder id from the settings from sync_active + folders = sync_active.settings.get("folders", []) + files_ids = sync_active.settings.get("files", []) - # Retrieve the sync user details - sync_user = self.sync_user_service.get_syncs_user( - user_id=user_id, sync_user_id=sync_active["syncs_user_id"] + files = await self.get_syncfiles_from_ids( + user_sync.credentials, files_ids=files_ids, folder_ids=folders ) - if not sync_user: - logger.warning( - "No sync user found for sync_active_id: %s, user_id: %s", - sync_active_id, - user_id, - ) - return None - - sync_user = sync_user[0] - if sync_user["provider"].lower() != self.sync_cloud.lower_name: - logger.warning( - "Sync provider is not %s for sync_active_id: %s", - self.sync_cloud.name, - sync_active_id, - ) - return None - # Download the folders and files from Cloud - logger.info( - "Downloading folders and files from %s for sync_active_id: %s", - self.sync_cloud.name, - sync_active_id, - ) - - # Get the folder id from the settings from sync_active - settings = sync_active.get("settings", {}) - folders = settings.get("folders", []) - files_to_download = settings.get("files", []) - files: List[SyncFile] = [] - files_metadata = [] - if len(folders) > 0: - for folder in folders: - files.extend( - self.sync_cloud.get_files( - sync_user["credentials"], - folder_id=folder, - recursive=True, - ) - ) - if len(files_to_download) > 0: - files_metadata = self.sync_cloud.get_files_by_id( - sync_user["credentials"], - files_to_download, - ) - files = files + files_metadata # type: ignore - - if "error" in files: - logger.error( - "Failed to download files from Azure for sync_active_id: %s", - sync_active_id, - ) - return None + logger.debug(f"original files to download for {sync_active.id} : {files}") - # Filter files that have been modified since the last sync last_synced_time = ( - datetime.fromisoformat(last_synced).astimezone(timezone.utc) - if last_synced + datetime.fromisoformat(sync_active.last_synced).astimezone(timezone.utc) + if sync_active.last_synced else None ) - logger.info("Files retrieved from %s: %s", self.sync_cloud.lower_name, files) - files_to_download = [ + files_ids = [ file for file in files - if not file.is_folder - and ( - ( - not last_synced_time - or datetime.strptime( - file.last_modified, - (self.sync_cloud.datetime_format), - ).replace(tzinfo=timezone.utc) - > last_synced_time - ) - or not check_file_exists(sync_active["brain_id"], file.name) + if should_download_file( + file=file, + last_updated_sync_active=last_synced_time, + provider_name=self.sync_cloud.lower_name, + datetime_format=self.sync_cloud.datetime_format, + brain_id=sync_active.brain_id, ) ] - downloaded_files = await self._upload_files( - sync_user["credentials"], - files_to_download, - user_id, - sync_active["brain_id"], - sync_active_id, - ) - if "error" in downloaded_files: - logger.error( - "Failed to download files from Azure for sync_active_id: %s", - sync_active_id, + logger.debug(f"filter files to download for {sync_active} : {files_ids}") + return files_ids + + async def get_syncfiles_from_ids( + self, + credentials: dict[str, Any], + files_ids: list[str], + folder_ids: list[str], + ) -> list[SyncFile]: + files = [] + if self.sync_cloud.lower_name == "notion": + files_ids += folder_ids + + for folder_id in folder_ids: + logger.debug( + f"Recursively getting file_ids from {self.sync_cloud.name}. folder_id={folder_id}" + ) + files.extend( + await self.sync_cloud.aget_files( + credentials=credentials, + folder_id=folder_id, + recursive=True, + ) ) - return None + if len(files_ids) > 0: + files.extend( + await self.sync_cloud.aget_files_by_id( + credentials=credentials, + file_ids=files_ids, + ) + ) + return files + + async def direct_sync( + self, + sync_active: SyncsActive, + user_sync: SyncsUser, + files_ids: list[str], + folder_ids: list[str], + ): + files = await self.get_syncfiles_from_ids( + user_sync.credentials, files_ids, folder_ids + ) + processed_files = await self.process_sync_files( + files=files, + current_user=user_sync, + sync_active=sync_active, + ) # Update the last_synced timestamp self.sync_active_service.update_sync_active( - sync_active_id, + sync_active.id, SyncsActiveUpdateInput( last_synced=datetime.now().astimezone().isoformat(), force_sync=False ), ) logger.info( - "%s sync completed for sync_active_id: %s", + f"{self.sync_cloud.lower_name} sync completed for sync_active: {sync_active.id}. Synced all {len(processed_files)} files.", + ) + return processed_files + + async def sync( + self, + sync_active: SyncsActive, + user_sync: SyncsUser, + ): + """ + Check if the Specific sync has not been synced and download the folders and files based on the settings. + + Args: + sync_active_id (int): The ID of the active sync. + user_id (str): The user ID associated with the active sync. + """ + logger.info( + "Starting %s sync for sync_active: %s", self.sync_cloud.lower_name, - sync_active_id, + sync_active, + ) + + files_to_download = await self.get_files_to_download(sync_active, user_sync) + processed_files = await self.process_sync_files( + files=files_to_download, + current_user=user_sync, + sync_active=sync_active, + ) + + # Update the last_synced timestamp + self.sync_active_service.update_sync_active( + sync_active.id, + SyncsActiveUpdateInput( + last_synced=datetime.now().astimezone().isoformat(), force_sync=False + ), + ) + logger.info( + f"{self.sync_cloud.lower_name} sync completed for sync_active: {sync_active.id}. Synced all {len(processed_files)} files.", ) - return downloaded_files + return processed_files diff --git a/backend/api/quivr_api/modules/sync/utils/upload.py b/backend/api/quivr_api/modules/sync/utils/upload.py deleted file mode 100644 index 8ce23d1deccd..000000000000 --- a/backend/api/quivr_api/modules/sync/utils/upload.py +++ /dev/null @@ -1,111 +0,0 @@ -import os -from typing import Optional -from uuid import UUID - -from fastapi import HTTPException, UploadFile -from quivr_api.celery_worker import process_file_and_notify -from quivr_api.logger import get_logger -from quivr_api.modules.brain.entity.brain_entity import RoleEnum -from quivr_api.modules.brain.service.brain_authorization_service import ( - validate_brain_authorization, -) -from quivr_api.modules.knowledge.dto.inputs import CreateKnowledgeProperties -from quivr_api.modules.knowledge.service.knowledge_service import KnowledgeService -from quivr_api.modules.notification.dto.inputs import NotificationUpdatableProperties -from quivr_api.modules.notification.entity.notification import NotificationsStatusEnum -from quivr_api.modules.notification.service.notification_service import ( - NotificationService, -) -from quivr_api.modules.upload.service.upload_file import upload_file_storage -from quivr_api.modules.user.service.user_usage import UserUsage -from quivr_api.packages.files.file import convert_bytes, get_file_size -from quivr_api.packages.utils.telemetry import maybe_send_telemetry - -logger = get_logger("upload_file") - -knowledge_service = KnowledgeService() -notification_service = NotificationService() - - -async def upload_file( - upload_file: UploadFile, - brain_id: UUID, - current_user: str, - bulk_id: Optional[UUID] = None, - integration: Optional[str] = None, - integration_link: Optional[str] = None, - notification_id: Optional[UUID] = None, -): - validate_brain_authorization( - brain_id, current_user, [RoleEnum.Editor, RoleEnum.Owner] - ) - user_daily_usage = UserUsage( - id=current_user, - ) - - user_settings = user_daily_usage.get_user_settings() - - remaining_free_space = user_settings.get("max_brain_size", 1000000000) - maybe_send_telemetry("upload_file", {"file_name": upload_file.filename}) - file_size = get_file_size(upload_file) - if remaining_free_space - file_size < 0: - message = f"Brain will exceed maximum capacity. Maximum file allowed is : {convert_bytes(remaining_free_space)}" - raise HTTPException(status_code=403, detail=message) - - file_content = await upload_file.read() - - filename_with_brain_id = str(brain_id) + "/" + str(upload_file.filename) - - try: - file_in_storage = upload_file_storage(file_content, filename_with_brain_id) - - except Exception as e: - print(e) - - if "The resource already exists" in str(e): - notification_service.update_notification_by_id( - notification_id, - NotificationUpdatableProperties( - status=NotificationsStatusEnum.ERROR, - description=f"File {upload_file.filename} already exists in storage.", - ), - ) - raise HTTPException( - status_code=403, - detail=f"File {upload_file.filename} already exists in storage.", - ) - - else: - notification_service.update_notification_by_id( - notification_id, - NotificationUpdatableProperties( - status=NotificationsStatusEnum.ERROR, - description=f"There was an error uploading the file", - ), - ) - raise HTTPException( - status_code=500, detail=f"Failed to upload file to storage. {e}" - ) - - knowledge_to_add = CreateKnowledgeProperties( - brain_id=brain_id, - file_name=upload_file.filename, - extension=os.path.splitext( - upload_file.filename # pyright: ignore reportPrivateUsage=none - )[-1].lower(), - integration=integration, - integration_link=integration_link, - ) - - added_knowledge = knowledge_service.add_knowledge(knowledge_to_add) - - process_file_and_notify.delay( - file_name=filename_with_brain_id, - file_original_name=upload_file.filename, - integration=integration, - integration_link=integration_link, - brain_id=brain_id, - notification_id=notification_id, - knowledge_id=added_knowledge.id, - ) - return {"message": "File processing has started."} diff --git a/backend/api/quivr_api/modules/tools/email_sender.py b/backend/api/quivr_api/modules/tools/email_sender.py index 766c18a11c44..49a38ab63959 100644 --- a/backend/api/quivr_api/modules/tools/email_sender.py +++ b/backend/api/quivr_api/modules/tools/email_sender.py @@ -10,9 +10,10 @@ from langchain_community.document_loaders import PlaywrightURLLoader from langchain_core.tools import BaseTool from pydantic import BaseModel + from quivr_api.logger import get_logger from quivr_api.models.settings import BrainSettings, SendEmailSettings -from quivr_api.packages.emails.send_email import send_email +from quivr_api.utils.send_email import send_email logger = get_logger(__name__) diff --git a/backend/api/quivr_api/modules/upload/controller/upload_routes.py b/backend/api/quivr_api/modules/upload/controller/upload_routes.py index 02517c675cc6..da10d3ff0277 100644 --- a/backend/api/quivr_api/modules/upload/controller/upload_routes.py +++ b/backend/api/quivr_api/modules/upload/controller/upload_routes.py @@ -1,15 +1,27 @@ +import hashlib +import io import os -from typing import Optional +from typing import Annotated, Optional from uuid import UUID -from fastapi import APIRouter, Depends, HTTPException, Query, UploadFile -from quivr_api.celery_worker import process_file_and_notify +from fastapi import ( + APIRouter, + BackgroundTasks, + Depends, + HTTPException, + Query, + UploadFile, +) +from supabase.client import AsyncClient + +from quivr_api.celery_config import celery from quivr_api.logger import get_logger from quivr_api.middlewares.auth import AuthBearer, get_current_user from quivr_api.modules.brain.entity.brain_entity import RoleEnum from quivr_api.modules.brain.service.brain_authorization_service import ( validate_brain_authorization, ) +from quivr_api.modules.dependencies import get_service, get_supabase_async_client from quivr_api.modules.knowledge.dto.inputs import CreateKnowledgeProperties from quivr_api.modules.knowledge.service.knowledge_service import KnowledgeService from quivr_api.modules.notification.dto.inputs import ( @@ -23,19 +35,26 @@ from quivr_api.modules.upload.service.upload_file import upload_file_storage from quivr_api.modules.user.entity.user_identity import UserIdentity from quivr_api.modules.user.service.user_usage import UserUsage -from quivr_api.packages.files.file import convert_bytes, get_file_size -from quivr_api.packages.utils.telemetry import maybe_send_telemetry +from quivr_api.utils.byte_size import convert_bytes +from quivr_api.utils.telemetry import maybe_send_telemetry logger = get_logger(__name__) upload_router = APIRouter() notification_service = NotificationService() -knowledge_service = KnowledgeService() +KnowledgeServiceDep = Annotated[ + KnowledgeService, Depends(get_service(KnowledgeService)) +] + +AsyncClientDep = Annotated[AsyncClient, Depends(get_supabase_async_client)] @upload_router.post("/upload", dependencies=[Depends(AuthBearer())], tags=["Upload"]) async def upload_file( uploadFile: UploadFile, + client: AsyncClientDep, + background_tasks: BackgroundTasks, + knowledge_service: KnowledgeServiceDep, bulk_id: Optional[UUID] = Query(None, description="The ID of the bulk upload"), brain_id: UUID = Query(..., description="The ID of the brain"), chat_id: Optional[UUID] = Query(None, description="The ID of the chat"), @@ -46,12 +65,17 @@ async def upload_file( validate_brain_authorization( brain_id, current_user.id, [RoleEnum.Editor, RoleEnum.Owner] ) - uploadFile.file.seek(0) user_daily_usage = UserUsage( id=current_user.id, email=current_user.email, ) + user_settings = user_daily_usage.get_user_settings() + remaining_free_space = user_settings.get("max_brain_size", 1 << 30) # 1GB + if remaining_free_space - uploadFile.size < 0: + message = f"Brain will exceed maximum capacity. Maximum file allowed is : {convert_bytes(remaining_free_space)}" + raise HTTPException(status_code=403, detail=message) + # TODO: Later upload_notification = notification_service.add_notification( CreateNotification( user_id=current_user.id, @@ -63,69 +87,66 @@ async def upload_file( ) ) - user_settings = user_daily_usage.get_user_settings() - - remaining_free_space = user_settings.get("max_brain_size", 1000000000) - maybe_send_telemetry("upload_file", {"file_name": uploadFile.filename}) - file_size = get_file_size(uploadFile) - if remaining_free_space - file_size < 0: - message = f"Brain will exceed maximum capacity. Maximum file allowed is : {convert_bytes(remaining_free_space)}" - raise HTTPException(status_code=403, detail=message) - - file_content = await uploadFile.read() + background_tasks.add_task( + maybe_send_telemetry, "upload_file", {"file_name": uploadFile.filename} + ) filename_with_brain_id = str(brain_id) + "/" + str(uploadFile.filename) - try: - upload_file_storage(file_content, filename_with_brain_id) - + # NOTE(@aminediro) : This should redone. The supabase storage client interface is badly designed + # It specifically checks for BufferedReader | bytes before sending + # TODO: We bypass this to write to S3 Storage directly + buff_reader = io.BufferedReader(uploadFile.file) # type: ignore + await upload_file_storage(buff_reader, filename_with_brain_id) + except FileExistsError: + notification_service.update_notification_by_id( + upload_notification.id if upload_notification else None, + NotificationUpdatableProperties( + status=NotificationsStatusEnum.ERROR, + description=f"File {uploadFile.filename} already exists in storage.", + ), + ) + raise HTTPException( + status_code=403, + detail=f"File {uploadFile.filename} already exists in storage.", + ) except Exception as e: - print(e) - - - if "The resource already exists" in str(e): - notification_service.update_notification_by_id( - upload_notification.id if upload_notification else None, - NotificationUpdatableProperties( - status=NotificationsStatusEnum.ERROR, - description=f"File {uploadFile.filename} already exists in storage.", - ), - ) - raise HTTPException( - status_code=403, - detail=f"File {uploadFile.filename} already exists in storage.", - ) - else: - notification_service.update_notification_by_id( - upload_notification.id if upload_notification else None, - NotificationUpdatableProperties( - status=NotificationsStatusEnum.ERROR, - description=f"There was an error uploading the file", - ), - ) - raise HTTPException( - status_code=500, detail=f"Failed to upload file to storage. {e}" - ) - + logger.exception(f"Exception in upload_route {e}") + notification_service.update_notification_by_id( + upload_notification.id if upload_notification else None, + NotificationUpdatableProperties( + status=NotificationsStatusEnum.ERROR, + description="There was an error uploading the file", + ), + ) + raise HTTPException( + status_code=500, detail=f"Failed to upload file to storage. {e}" + ) + file_content = await uploadFile.read() + # FIXME: @chloedia check if these are the correct properties knowledge_to_add = CreateKnowledgeProperties( brain_id=brain_id, file_name=uploadFile.filename, - extension=os.path.splitext( + mime_type=os.path.splitext( uploadFile.filename # pyright: ignore reportPrivateUsage=none )[-1].lower(), - integration=integration, - integration_link=integration_link, + source=integration if integration else "local", + source_link=integration_link, # FIXME: Should return the s3 link @chloedia + file_size=uploadFile.size, + file_sha1=hashlib.sha1(file_content).hexdigest(), ) - - knowledge = knowledge_service.add_knowledge(knowledge_to_add) - - process_file_and_notify.delay( - file_name=filename_with_brain_id, - file_original_name=uploadFile.filename, - brain_id=brain_id, - notification_id=upload_notification.id, - knowledge_id=knowledge.id, - integration=integration, - integration_link=integration_link, + knowledge = await knowledge_service.add_knowledge(knowledge_to_add) # type: ignore + + celery.send_task( + "process_file_task", + kwargs={ + "file_name": filename_with_brain_id, + "file_original_name": uploadFile.filename, + "brain_id": brain_id, + "notification_id": upload_notification.id, + "knowledge_id": knowledge.id, + "source": integration, + "source_link": integration_link, # supabase_client.storage.from_("quivr").get_public_url(uploadFile.filename) + }, ) return {"message": "File processing has started."} diff --git a/backend/api/quivr_api/modules/upload/service/generate_file_signed_url.py b/backend/api/quivr_api/modules/upload/service/generate_file_signed_url.py index b6ee63dc985f..c2472c2d5849 100644 --- a/backend/api/quivr_api/modules/upload/service/generate_file_signed_url.py +++ b/backend/api/quivr_api/modules/upload/service/generate_file_signed_url.py @@ -1,8 +1,9 @@ from multiprocessing import get_logger -from quivr_api.models.settings import get_supabase_client from supabase.client import Client +from quivr_api.modules.dependencies import get_supabase_client + logger = get_logger() SIGNED_URL_EXPIRATION_PERIOD_IN_SECONDS = 3600 diff --git a/backend/api/quivr_api/modules/upload/service/list_files.py b/backend/api/quivr_api/modules/upload/service/list_files.py index 1e7decab28d1..bf03756e94b3 100644 --- a/backend/api/quivr_api/modules/upload/service/list_files.py +++ b/backend/api/quivr_api/modules/upload/service/list_files.py @@ -1,8 +1,9 @@ from multiprocessing import get_logger -from quivr_api.models.settings import get_supabase_client from supabase.client import Client +from quivr_api.modules.dependencies import get_supabase_client + logger = get_logger() diff --git a/backend/api/quivr_api/modules/upload/service/upload_file.py b/backend/api/quivr_api/modules/upload/service/upload_file.py index 06d9fb3b974a..5f0615e5b49d 100644 --- a/backend/api/quivr_api/modules/upload/service/upload_file.py +++ b/backend/api/quivr_api/modules/upload/service/upload_file.py @@ -1,41 +1,15 @@ -import json -import os -from multiprocessing import get_logger +import mimetypes +from io import BufferedReader, FileIO -from langchain.pydantic_v1 import Field -from langchain.schema import Document -from quivr_api.logger import get_logger -from quivr_api.models.settings import get_supabase_client from supabase.client import Client -logger = get_logger(__name__) - +from quivr_api.logger import get_logger +from quivr_api.modules.dependencies import ( + get_supabase_async_client, + get_supabase_client, +) -# Mapping of file extensions to MIME types -mime_types = { - ".txt": "text/plain", - ".csv": "text/csv", - ".md": "text/markdown", - ".markdown": "text/markdown", - ".telegram": "application/x-telegram", - ".m4a": "audio/mp4", - ".mp3": "audio/mpeg", - ".webm": "audio/webm", - ".mp4": "video/mp4", - ".mpga": "audio/mpeg", - ".wav": "audio/wav", - ".mpeg": "video/mpeg", - ".pdf": "application/pdf", - ".html": "text/html", - ".pptx": "application/vnd.openxmlformats-officedocument.presentationml.presentation", - ".docx": "application/vnd.openxmlformats-officedocument.wordprocessingml.document", - ".odt": "application/vnd.oasis.opendocument.text", - ".xlsx": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", - ".xls": "application/vnd.ms-excel", - ".epub": "application/epub+zip", - ".ipynb": "application/x-ipynb+json", - ".py": "text/x-python", -} +logger = get_logger(__name__) def check_file_exists(brain_id: str, file_identifier: str) -> bool: @@ -44,7 +18,6 @@ def check_file_exists(brain_id: str, file_identifier: str) -> bool: # Check if the file exists logger.info(f"Checking if file {file_identifier} exists.") # This needs to be converted into a file_identifier that is safe for a URL - response = supabase_client.storage.from_("quivr").list(brain_id) # Check if the file_identifier is in the response @@ -52,83 +25,52 @@ def check_file_exists(brain_id: str, file_identifier: str) -> bool: file["name"].split(".")[0] == file_identifier.split(".")[0] for file in response ) - logger.info(f"File identifier: {file_identifier}") - logger.info(f"File exists: {file_exists}") + logger.debug(f"File identifier: {file_identifier} exists: {file_exists}") if file_exists: - logger.info(f"File {file_identifier} exists.") return True else: - logger.info(f"File {file_identifier} does not exist.") return False except Exception as e: logger.error(f"An error occurred while checking the file: {e}") return True -def upload_file_storage(file, file_identifier: str, upsert: str = "false"): - supabase_client: Client = get_supabase_client() - response = None - - try: - # Get the file extension - _, file_extension = os.path.splitext(file_identifier) - - # Get the MIME type for the file extension - mime_type = mime_types.get(file_extension, "text/html") - - response = supabase_client.storage.from_("quivr").upload( - file_identifier, - file, +async def upload_file_storage( + file: FileIO | BufferedReader | bytes, + storage_path: str, + upsert: bool = False, +): + supabase_client = await get_supabase_async_client() + mime_type, _ = mimetypes.guess_type(storage_path) + logger.debug( + f"Uploading file to {storage_path} using supabase. upsert={upsert}, mimetype={mime_type}" + ) + + if upsert: + response = await supabase_client.storage.from_("quivr").update( + storage_path, + file, # type: ignore file_options={ - "content-type": mime_type, - "upsert": upsert, + "content-type": mime_type or "application/html", + "upsert": "true", "cache-control": "3600", }, ) - return response - except Exception as e: - if "The resource already exists" in str(e) and upsert == "true": - response = supabase_client.storage.from_("quivr").update( - file_identifier, - file, + else: + try: + response = await supabase_client.storage.from_("quivr").upload( + storage_path, + file, # type: ignore file_options={ - "content-type": mime_type, - "upsert": upsert, + "content-type": mime_type or "application/html", + "upsert": "false", "cache-control": "3600", }, ) - else: + return response + except Exception as e: + # FIXME: Supabase client to return the correct error + if "The resource already exists" in str(e) and not upsert: + raise FileExistsError(f"File {storage_path} already exists") raise e - - -class DocumentSerializable(Document): - """Class for storing a piece of text and associated metadata.""" - - page_content: str - metadata: dict = Field(default_factory=dict) - - @property - def lc_serializable(self) -> bool: - return True - - def __repr__(self): - return f"Document(page_content='{self.page_content[:50]}...', metadata={self.metadata})" - - def __str__(self): - return self.__repr__() - - def to_json(self) -> str: - """Convert the Document object to a JSON string.""" - return json.dumps( - { - "page_content": self.page_content, - "metadata": self.metadata, - } - ) - - @classmethod - def from_json(cls, json_str: str): - """Create a Document object from a JSON string.""" - data = json.loads(json_str) - return cls(page_content=data["page_content"], metadata=data["metadata"]) diff --git a/backend/api/quivr_api/modules/user/entity/user_identity.py b/backend/api/quivr_api/modules/user/entity/user_identity.py index 8feaccfe0c2e..3f734f1a66cc 100644 --- a/backend/api/quivr_api/modules/user/entity/user_identity.py +++ b/backend/api/quivr_api/modules/user/entity/user_identity.py @@ -16,6 +16,7 @@ class User(SQLModel, table=True): email: str onboarded: bool | None = None chats: List["Chat"] | None = Relationship(back_populates="user") # type: ignore + notion_syncs: List["NotionSyncFile"] | None = Relationship(back_populates="user") # type: ignore class UserIdentity(BaseModel): diff --git a/backend/api/quivr_api/modules/user/repository/users.py b/backend/api/quivr_api/modules/user/repository/users.py index 500260f90a4c..845ebb93248d 100644 --- a/backend/api/quivr_api/modules/user/repository/users.py +++ b/backend/api/quivr_api/modules/user/repository/users.py @@ -1,6 +1,6 @@ import time -from quivr_api.models.settings import get_supabase_client +from quivr_api.modules.dependencies import get_supabase_client from quivr_api.modules.user.entity.user_identity import UserIdentity from quivr_api.modules.user.repository.users_interface import UsersInterface from quivr_api.modules.user.service import user_usage diff --git a/backend/api/quivr_api/modules/user/service/user_usage.py b/backend/api/quivr_api/modules/user/service/user_usage.py index e997328757e1..9b3b81c161be 100644 --- a/backend/api/quivr_api/modules/user/service/user_usage.py +++ b/backend/api/quivr_api/modules/user/service/user_usage.py @@ -1,6 +1,7 @@ from quivr_api.logger import get_logger from quivr_api.models.databases.supabase.supabase import SupabaseDB -from quivr_api.models.settings import PostHogSettings, get_supabase_db +from quivr_api.models.settings import PostHogSettings +from quivr_api.modules.dependencies import get_supabase_db from quivr_api.modules.user.entity.user_identity import UserIdentity logger = get_logger(__name__) diff --git a/backend/api/quivr_api/packages/embeddings/vectors.py b/backend/api/quivr_api/packages/embeddings/vectors.py deleted file mode 100644 index 17a8ae4d61d3..000000000000 --- a/backend/api/quivr_api/packages/embeddings/vectors.py +++ /dev/null @@ -1,72 +0,0 @@ -from concurrent.futures import ThreadPoolExecutor -from typing import List -from uuid import UUID - -from pydantic import BaseModel -from quivr_api.logger import get_logger -from quivr_api.models.settings import ( - get_documents_vector_store, - get_embedding_client, - get_supabase_db, -) - -logger = get_logger(__name__) - - -# TODO: Create interface for embeddings and implement it for Supabase and OpenAI (current Quivr) -class Neurons(BaseModel): - def create_vector(self, docs): - documents_vector_store = get_documents_vector_store() - - try: - sids = documents_vector_store.add_documents(docs) - if sids and len(sids) > 0: - return sids - - except Exception as e: - logger.error(f"Error creating vector for document {e}") - - def create_embedding(self, content): - embeddings = get_embedding_client() - return embeddings.embed_query(content) - - -def error_callback(exception): - print("An exception occurred:", exception) - - -def process_batch(batch_ids: List[str]): - supabase_db = get_supabase_db() - - try: - if len(batch_ids) == 1: - return (supabase_db.get_vectors_by_batch(UUID(batch_ids[0]))).data - else: - return (supabase_db.get_vectors_in_batch(batch_ids)).data - except Exception as e: - logger.error("Error retrieving batched vectors", e) - - -# TODO: move to Knowledge class -def get_unique_files_from_vector_ids(vectors_ids): - # Move into Vectors class - """ - Retrieve unique user data vectors. - """ - - # constants - BATCH_SIZE = 5 - - with ThreadPoolExecutor() as executor: - futures = [] - for i in range(0, len(vectors_ids), BATCH_SIZE): - batch_ids = vectors_ids[i : i + BATCH_SIZE] - future = executor.submit(process_batch, batch_ids) - futures.append(future) - - # Retrieve the results - vectors_responses = [future.result() for future in futures] - - documents = [item for sublist in vectors_responses for item in sublist] - unique_files = [dict(t) for t in set(tuple(d.items()) for d in documents)] - return unique_files diff --git a/backend/api/quivr_api/packages/files/crawl/__init__.py b/backend/api/quivr_api/packages/files/crawl/__init__.py deleted file mode 100644 index e69de29bb2d1..000000000000 diff --git a/backend/api/quivr_api/packages/files/crawl/crawler.py b/backend/api/quivr_api/packages/files/crawl/crawler.py deleted file mode 100644 index 3c45dc5e78c3..000000000000 --- a/backend/api/quivr_api/packages/files/crawl/crawler.py +++ /dev/null @@ -1,43 +0,0 @@ -import os -import re -import unicodedata - -from langchain_community.document_loaders import PlaywrightURLLoader -from pydantic import BaseModel -from quivr_api.logger import get_logger - -logger = get_logger(__name__) - - -class CrawlWebsite(BaseModel): - url: str - js: bool = False - depth: int = int(os.getenv("CRAWL_DEPTH", "1")) - max_pages: int = 100 - max_time: int = 60 - - def process(self) -> str: - # Extract and combine content recursively - loader = PlaywrightURLLoader( - urls=[self.url], remove_selectors=["header", "footer"] - ) - - data = loader.load() - # Now turn the data into a string - logger.info(f"Extracted content from {len(data)} pages") - logger.debug(f"Extracted data : {data}") - extracted_content = "" - for page in data: - extracted_content += page.page_content - - return extracted_content - - def checkGithub(self): - return "github.com" in self.url - - -def slugify(text): - text = unicodedata.normalize("NFKD", text).encode("ascii", "ignore").decode("utf-8") - text = re.sub(r"[^\w\s-]", "", text).strip().lower() - text = re.sub(r"[-\s]+", "-", text) - return text diff --git a/backend/api/quivr_api/packages/files/file.py b/backend/api/quivr_api/packages/files/file.py deleted file mode 100644 index 053ce2c76d78..000000000000 --- a/backend/api/quivr_api/packages/files/file.py +++ /dev/null @@ -1,45 +0,0 @@ -import hashlib -from io import BytesIO - -from fastapi import UploadFile - - -def convert_bytes(bytes, precision=2): - """Converts bytes into a human-friendly format.""" - abbreviations = ["B", "KB", "MB"] - if bytes <= 0: - return "0 B" - size = bytes - index = 0 - while size >= 1024 and index < len(abbreviations) - 1: - size /= 1024 - index += 1 - return f"{size:.{precision}f} {abbreviations[index]}" - - -def get_file_size(file: UploadFile): - if isinstance(file.file, BytesIO): - # If the file object is a BytesIO object, get the size of the bytes data - file_size = len(file.file.getvalue()) - return file_size - # move the cursor to the end of the file - file.file._file.seek(0, 2) # pyright: ignore reportPrivateUsage=none - file_size = ( - file.file._file.tell() # pyright: ignore reportPrivateUsage=none - ) # Getting the size of the file - # move the cursor back to the beginning of the file - file.file.seek(0) - - return file_size - - -def compute_sha1_from_file(file_path): - with open(file_path, "rb") as file: - bytes = file.read() - readable_hash = compute_sha1_from_content(bytes) - return readable_hash - - -def compute_sha1_from_content(content): - readable_hash = hashlib.sha1(content).hexdigest() - return readable_hash diff --git a/backend/api/quivr_api/packages/files/loaders/__init__.py b/backend/api/quivr_api/packages/files/loaders/__init__.py deleted file mode 100644 index e69de29bb2d1..000000000000 diff --git a/backend/api/quivr_api/packages/files/loaders/telegram.py b/backend/api/quivr_api/packages/files/loaders/telegram.py deleted file mode 100644 index e114e46751fe..000000000000 --- a/backend/api/quivr_api/packages/files/loaders/telegram.py +++ /dev/null @@ -1,65 +0,0 @@ -from __future__ import annotations - -import json -from pathlib import Path -from typing import List - -from langchain.docstore.document import Document -from langchain_community.document_loaders.base import BaseLoader - - -def concatenate_rows(row: dict) -> str: - """Combine message information in a readable format ready to be used.""" - date = row["date"] - sender = row.get( - "from", "Unknown" - ) # Using .get() to handle cases where 'from' might not be present - - text_content = row.get("text", "") - - # Function to process a single text entity - def process_text_entity(entity): - if isinstance(entity, str): - return entity - elif isinstance(entity, dict) and "text" in entity: - return entity["text"] - return "" - - # Process the text content based on its type - if isinstance(text_content, str): - text = text_content - elif isinstance(text_content, list): - text = "".join(process_text_entity(item) for item in text_content) - else: - text = "" - - # Skip messages with empty text - if not text.strip(): - return "" - - return f"{sender} on {date}: {text}\n\n" - - -class TelegramChatFileLoader(BaseLoader): - """Load from `Telegram chat` dump.""" - - def __init__(self, path: str): - """Initialize with a path.""" - self.file_path = path - - def load(self) -> List[Document]: - """Load documents.""" - p = Path(self.file_path) - - with open(p, encoding="utf8") as f: - d = json.load(f) - - text = "".join( - concatenate_rows(message) - for message in d["messages"] - if message["type"] == "message" - and (isinstance(message["text"], str) or isinstance(message["text"], list)) - ) - metadata = {"source": str(p)} - - return [Document(page_content=text, metadata=metadata)] diff --git a/backend/api/quivr_api/packages/files/parsers/__init__.py b/backend/api/quivr_api/packages/files/parsers/__init__.py deleted file mode 100644 index e69de29bb2d1..000000000000 diff --git a/backend/api/quivr_api/packages/files/parsers/audio.py b/backend/api/quivr_api/packages/files/parsers/audio.py deleted file mode 100644 index a4b04456a4cd..000000000000 --- a/backend/api/quivr_api/packages/files/parsers/audio.py +++ /dev/null @@ -1,51 +0,0 @@ -import time - -import openai -from langchain.schema import Document -from langchain.text_splitter import RecursiveCharacterTextSplitter -from quivr_api.models.files import File -from quivr_api.models.settings import get_documents_vector_store -from quivr_api.packages.files.file import compute_sha1_from_content - - -def process_audio(file: File, **kwargs): - dateshort = time.strftime("%Y%m%d-%H%M%S") - file_meta_name = f"audiotranscript_{dateshort}.txt" - documents_vector_store = get_documents_vector_store() - - with open(file.tmp_file_path, "rb") as audio_file: - transcript = openai.Audio.transcribe("whisper-1", audio_file) - - file_sha = compute_sha1_from_content( - transcript.text.encode("utf-8") # pyright: ignore reportPrivateUsage=none - ) - file_size = len( - transcript.text.encode("utf-8") # pyright: ignore reportPrivateUsage=none - ) - - chunk_size = 500 - chunk_overlap = 0 - - text_splitter = RecursiveCharacterTextSplitter.from_tiktoken_encoder( - chunk_size=chunk_size, chunk_overlap=chunk_overlap - ) - texts = text_splitter.split_text( - transcript.text.encode("utf-8") # pyright: ignore reportPrivateUsage=none - ) - - docs_with_metadata = [ - Document( - page_content=text, - metadata={ - "file_sha1": file_sha, - "file_size": file_size, - "file_name": file_meta_name, - "chunk_size": chunk_size, - "chunk_overlap": chunk_overlap, - "date": dateshort, - }, - ) - for text in texts - ] - - documents_vector_store.add_documents(docs_with_metadata) diff --git a/backend/api/quivr_api/packages/files/parsers/bibtex.py b/backend/api/quivr_api/packages/files/parsers/bibtex.py deleted file mode 100644 index f3086b03e426..000000000000 --- a/backend/api/quivr_api/packages/files/parsers/bibtex.py +++ /dev/null @@ -1,17 +0,0 @@ -from langchain_community.document_loaders import BibtexLoader -from quivr_api.models.files import File - -from .common import process_file - - -def process_bibtex( - file: File, brain_id, original_file_name, integration=None, integration_link=None -): - return process_file( - file=file, - loader_class=BibtexLoader, - brain_id=brain_id, - original_file_name=original_file_name, - integration=integration, - integration_link=integration_link, - ) diff --git a/backend/api/quivr_api/packages/files/parsers/code_python.py b/backend/api/quivr_api/packages/files/parsers/code_python.py deleted file mode 100644 index 25e50fda7f74..000000000000 --- a/backend/api/quivr_api/packages/files/parsers/code_python.py +++ /dev/null @@ -1,17 +0,0 @@ -from langchain_community.document_loaders import PythonLoader -from quivr_api.models.files import File - -from .common import process_file - - -def process_python( - file: File, brain_id, original_file_name, integration=None, integration_link=None -): - return process_file( - file=file, - loader_class=PythonLoader, - brain_id=brain_id, - original_file_name=original_file_name, - integration=integration, - integration_link=integration_link, - ) diff --git a/backend/api/quivr_api/packages/files/parsers/common.py b/backend/api/quivr_api/packages/files/parsers/common.py deleted file mode 100644 index f3964a7e185e..000000000000 --- a/backend/api/quivr_api/packages/files/parsers/common.py +++ /dev/null @@ -1,113 +0,0 @@ -import os -import tempfile -import time - -import tiktoken -from langchain.schema import Document -from langchain.text_splitter import RecursiveCharacterTextSplitter -from llama_parse import LlamaParse -from quivr_api.logger import get_logger -from quivr_api.models.files import File -from quivr_api.modules.brain.service.brain_vector_service import BrainVectorService -from quivr_api.modules.upload.service.upload_file import DocumentSerializable -from quivr_api.packages.embeddings.vectors import Neurons - -logger = get_logger(__name__) - - -def process_file( - file: File, - loader_class, - brain_id, - original_file_name, - integration=None, - integration_link=None, -): - dateshort = time.strftime("%Y%m%d") - neurons = Neurons() - - if os.getenv("LLAMA_CLOUD_API_KEY"): - doc = file.file - document_ext = os.path.splitext(doc.filename)[1] - if document_ext in [".pdf", ".docx", ".doc"]: - document_tmp = tempfile.NamedTemporaryFile( - suffix=document_ext, delete=False - ) - # Seek to the beginning of the file - doc.file.seek(0) - document_tmp.write(doc.file.read()) - - parser = LlamaParse( - result_type="markdown", # "markdown" and "text" are available - parsing_instruction="Extract the tables and transform checkboxes into text. Transform tables to key = value. You can duplicates Keys if needed. For example: Productions Fonts = 300 productions Fonts Company Desktop License = Yes for Maximum of 60 Licensed Desktop users For example checkboxes should be: Premium Activated = Yes License Premier = No If a checkbox is present for a table with multiple options. Say Yes for the one activated and no for the one not activated. Format using headers.", - gpt4o_mode=True, - gpt4o_api_key=os.getenv("OPENAI_API_KEY"), - ) - - document_llama_parsed = parser.load_data(document_tmp.name) - document_tmp.close() - document_to_langchain = document_llama_parsed[0].to_langchain_format() - text_splitter = RecursiveCharacterTextSplitter.from_tiktoken_encoder( - chunk_size=file.chunk_size, chunk_overlap=file.chunk_overlap - ) - document_to_langchain = Document( - page_content=document_to_langchain.page_content - ) - file.documents = text_splitter.split_documents([document_to_langchain]) - else: - file.compute_documents(loader_class) - - metadata = { - "file_sha1": file.file_sha1, - "file_size": file.file_size, - "file_name": file.file_name, - "chunk_size": file.chunk_size, - "chunk_overlap": file.chunk_overlap, - "date": dateshort, - "original_file_name": original_file_name or file.file_name, - "integration": integration or "", - "integration_link": integration_link or "", - } - docs = [] - - enc = tiktoken.get_encoding("cl100k_base") - - if file.documents is not None: - logger.info("Coming here?") - for index, doc in enumerate( - file.documents, start=1 - ): # pyright: ignore reportPrivateUsage=none - new_metadata = metadata.copy() - logger.info(f"Processing document {doc}") - # Add filename at beginning of page content - doc.page_content = f"Filename: {new_metadata['original_file_name']} Content: {doc.page_content}" - - doc.page_content = doc.page_content.replace("\u0000", "") - - len_chunk = len(enc.encode(doc.page_content)) - - # Ensure the text is in UTF-8 - doc.page_content = doc.page_content.encode("utf-8", "replace").decode( - "utf-8" - ) - - new_metadata["chunk_size"] = len_chunk - new_metadata["index"] = index - doc_with_metadata = DocumentSerializable( - page_content=doc.page_content, metadata=new_metadata - ) - docs.append(doc_with_metadata) - - created_vector = neurons.create_vector(docs) - - brain_vector_service = BrainVectorService(brain_id) - - if created_vector is not None: - for created_vector_id in created_vector: - result = brain_vector_service.create_brain_vector( - created_vector_id, metadata["file_sha1"] - ) - logger.debug(f"Brain vector created: {result}") - return len(created_vector) - else: - return 0 diff --git a/backend/api/quivr_api/packages/files/parsers/csv.py b/backend/api/quivr_api/packages/files/parsers/csv.py deleted file mode 100644 index 7ed8a4bc2af8..000000000000 --- a/backend/api/quivr_api/packages/files/parsers/csv.py +++ /dev/null @@ -1,17 +0,0 @@ -from langchain_community.document_loaders import CSVLoader -from quivr_api.models.files import File - -from .common import process_file - - -def process_csv( - file: File, brain_id, original_file_name, integration=None, integration_link=None -): - return process_file( - file=file, - loader_class=CSVLoader, - brain_id=brain_id, - original_file_name=original_file_name, - integration=integration, - integration_link=integration_link, - ) diff --git a/backend/api/quivr_api/packages/files/parsers/docx.py b/backend/api/quivr_api/packages/files/parsers/docx.py deleted file mode 100644 index 5d6bcb017e60..000000000000 --- a/backend/api/quivr_api/packages/files/parsers/docx.py +++ /dev/null @@ -1,17 +0,0 @@ -from langchain_community.document_loaders import Docx2txtLoader -from quivr_api.models.files import File - -from .common import process_file - - -def process_docx( - file: File, brain_id, original_file_name, integration=None, integration_link=None -): - return process_file( - file=file, - loader_class=Docx2txtLoader, - brain_id=brain_id, - original_file_name=original_file_name, - integration=integration, - integration_link=integration_link, - ) diff --git a/backend/api/quivr_api/packages/files/parsers/epub.py b/backend/api/quivr_api/packages/files/parsers/epub.py deleted file mode 100644 index 7e4f84d9d647..000000000000 --- a/backend/api/quivr_api/packages/files/parsers/epub.py +++ /dev/null @@ -1,17 +0,0 @@ -from langchain_community.document_loaders.epub import UnstructuredEPubLoader -from quivr_api.models.files import File - -from .common import process_file - - -def process_epub( - file: File, brain_id, original_file_name, integration=None, integration_link=None -): - return process_file( - file=file, - loader_class=UnstructuredEPubLoader, - brain_id=brain_id, - original_file_name=original_file_name, - integration=integration, - integration_link=integration_link, - ) diff --git a/backend/api/quivr_api/packages/files/parsers/github.py b/backend/api/quivr_api/packages/files/parsers/github.py deleted file mode 100644 index 04bf04dab089..000000000000 --- a/backend/api/quivr_api/packages/files/parsers/github.py +++ /dev/null @@ -1,78 +0,0 @@ -import os -import time - -from langchain.schema import Document -from langchain.text_splitter import RecursiveCharacterTextSplitter -from langchain_community.document_loaders import GitLoader -from quivr_api.models.files import File -from quivr_api.packages.embeddings.vectors import Neurons -from quivr_api.packages.files.file import compute_sha1_from_content - - -def process_github( - repo, - brain_id, -): - random_dir_name = os.urandom(16).hex() - dateshort = time.strftime("%Y%m%d") - loader = GitLoader( - clone_url=repo, - repo_path="/tmp/" + random_dir_name, - ) - documents = loader.load() - os.system("rm -rf /tmp/" + random_dir_name) - - chunk_size = 500 - chunk_overlap = 0 - text_splitter = RecursiveCharacterTextSplitter.from_tiktoken_encoder( - chunk_size=chunk_size, chunk_overlap=chunk_overlap - ) - - documents = text_splitter.split_documents(documents) - - for doc in documents: - if doc.metadata["file_type"] in [ - ".pyc", - ".png", - ".svg", - ".env", - ".lock", - ".gitignore", - ".gitmodules", - ".gitattributes", - ".gitkeep", - ".git", - ".json", - ]: - continue - metadata = { - "file_sha1": compute_sha1_from_content(doc.page_content.encode("utf-8")), - "file_size": len(doc.page_content) * 8, - "file_name": doc.metadata["file_name"], - "chunk_size": chunk_size, - "chunk_overlap": chunk_overlap, - "date": dateshort, - "original_file_name": doc.metadata["original_file_name"], - } - doc_with_metadata = Document(page_content=doc.page_content, metadata=metadata) - - print(doc_with_metadata.metadata["file_name"]) - - file = File( - file_sha1=compute_sha1_from_content(doc.page_content.encode("utf-8")) - ) - - file_exists = file.file_already_exists() - - if not file_exists: - neurons = Neurons() - created_vector = neurons.create_vector(doc_with_metadata) - - file_exists_in_brain = file.file_already_exists_in_brain(brain_id) - - if not file_exists_in_brain: - file.link_file_to_brain(brain_id) - return { - "message": f"✅ Github with {len(documents)} files has been uploaded.", - "type": "success", - } diff --git a/backend/api/quivr_api/packages/files/parsers/html.py b/backend/api/quivr_api/packages/files/parsers/html.py deleted file mode 100644 index a3da937c41d2..000000000000 --- a/backend/api/quivr_api/packages/files/parsers/html.py +++ /dev/null @@ -1,17 +0,0 @@ -from langchain_community.document_loaders import UnstructuredHTMLLoader -from quivr_api.models.files import File - -from .common import process_file - - -def process_html( - file: File, brain_id, original_file_name, integration=None, integration_link=None -): - return process_file( - file=file, - loader_class=UnstructuredHTMLLoader, - brain_id=brain_id, - original_file_name=original_file_name, - integration=integration, - integration_link=integration_link, - ) diff --git a/backend/api/quivr_api/packages/files/parsers/markdown.py b/backend/api/quivr_api/packages/files/parsers/markdown.py deleted file mode 100644 index f7c216d9ac66..000000000000 --- a/backend/api/quivr_api/packages/files/parsers/markdown.py +++ /dev/null @@ -1,17 +0,0 @@ -from langchain_community.document_loaders import UnstructuredMarkdownLoader -from quivr_api.models.files import File - -from .common import process_file - - -def process_markdown( - file: File, brain_id, original_file_name, integration=None, integration_link=None -): - return process_file( - file=file, - loader_class=UnstructuredMarkdownLoader, - brain_id=brain_id, - original_file_name=original_file_name, - integration=integration, - integration_link=integration_link, - ) diff --git a/backend/api/quivr_api/packages/files/parsers/notebook.py b/backend/api/quivr_api/packages/files/parsers/notebook.py deleted file mode 100644 index aceac8d1cfc1..000000000000 --- a/backend/api/quivr_api/packages/files/parsers/notebook.py +++ /dev/null @@ -1,17 +0,0 @@ -from langchain_community.document_loaders import NotebookLoader -from quivr_api.models.files import File - -from .common import process_file - - -def process_ipnyb( - file: File, brain_id, original_file_name, integration=None, integration_link=None -): - return process_file( - file=file, - loader_class=NotebookLoader, - brain_id=brain_id, - original_file_name=original_file_name, - integration=integration, - integration_link=integration_link, - ) diff --git a/backend/api/quivr_api/packages/files/parsers/odt.py b/backend/api/quivr_api/packages/files/parsers/odt.py deleted file mode 100644 index 1b4ecbc55484..000000000000 --- a/backend/api/quivr_api/packages/files/parsers/odt.py +++ /dev/null @@ -1,17 +0,0 @@ -from langchain_community.document_loaders import UnstructuredPDFLoader -from quivr_api.models.files import File - -from .common import process_file - - -def process_odt( - file: File, brain_id, original_file_name, integration=None, integration_link=None -): - return process_file( - file=file, - loader_class=UnstructuredPDFLoader, - brain_id=brain_id, - original_file_name=original_file_name, - integration=integration, - integration_link=integration_link, - ) diff --git a/backend/api/quivr_api/packages/files/parsers/pdf.py b/backend/api/quivr_api/packages/files/parsers/pdf.py deleted file mode 100644 index 285663d774de..000000000000 --- a/backend/api/quivr_api/packages/files/parsers/pdf.py +++ /dev/null @@ -1,21 +0,0 @@ -from megaparse.Converter import MegaParse -from quivr_api.models.files import File - -from .common import process_file - - -def process_pdf( - file: File, - brain_id, - original_file_name, - integration=None, - integration_link=None, -): - return process_file( - file=file, - loader_class=MegaParse, - brain_id=brain_id, - original_file_name=original_file_name, - integration=integration, - integration_link=integration_link, - ) diff --git a/backend/api/quivr_api/packages/files/parsers/powerpoint.py b/backend/api/quivr_api/packages/files/parsers/powerpoint.py deleted file mode 100644 index 6f975dee1666..000000000000 --- a/backend/api/quivr_api/packages/files/parsers/powerpoint.py +++ /dev/null @@ -1,17 +0,0 @@ -from langchain_community.document_loaders import UnstructuredFileLoader -from quivr_api.models.files import File - -from .common import process_file - - -def process_powerpoint( - file: File, brain_id, original_file_name, integration=None, integration_link=None -): - return process_file( - file=file, - loader_class=UnstructuredFileLoader, - brain_id=brain_id, - original_file_name=original_file_name, - integration=integration, - integration_link=integration_link, - ) diff --git a/backend/api/quivr_api/packages/files/parsers/telegram.py b/backend/api/quivr_api/packages/files/parsers/telegram.py deleted file mode 100644 index 26b367b8d9aa..000000000000 --- a/backend/api/quivr_api/packages/files/parsers/telegram.py +++ /dev/null @@ -1,17 +0,0 @@ -from quivr_api.models.files import File -from quivr_api.packages.files.loaders.telegram import TelegramChatFileLoader - -from .common import process_file - - -def process_telegram( - file: File, brain_id, original_file_name, integration=None, integration_link=None -): - return process_file( - file=file, - loader_class=TelegramChatFileLoader, - brain_id=brain_id, - original_file_name=original_file_name, - integration=integration, - integration_link=integration_link, - ) diff --git a/backend/api/quivr_api/packages/files/parsers/txt.py b/backend/api/quivr_api/packages/files/parsers/txt.py deleted file mode 100644 index 45ecde21e86c..000000000000 --- a/backend/api/quivr_api/packages/files/parsers/txt.py +++ /dev/null @@ -1,17 +0,0 @@ -from langchain_community.document_loaders import TextLoader -from quivr_api.models.files import File - -from .common import process_file - - -def process_txt( - file: File, brain_id, original_file_name, integration=None, integration_link=None -): - return process_file( - file=file, - loader_class=TextLoader, - brain_id=brain_id, - original_file_name=original_file_name, - integration=integration, - integration_link=integration_link, - ) diff --git a/backend/api/quivr_api/packages/files/parsers/xlsx.py b/backend/api/quivr_api/packages/files/parsers/xlsx.py deleted file mode 100644 index 09951cd2363c..000000000000 --- a/backend/api/quivr_api/packages/files/parsers/xlsx.py +++ /dev/null @@ -1,17 +0,0 @@ -from langchain_community.document_loaders import UnstructuredExcelLoader -from quivr_api.models.files import File - -from .common import process_file - - -def process_xlsx( - file: File, brain_id, original_file_name, integration=None, integration_link=None -): - return process_file( - file=file, - loader_class=UnstructuredExcelLoader, - brain_id=brain_id, - original_file_name=original_file_name, - integration=integration, - integration_link=integration_link, - ) diff --git a/backend/api/quivr_api/packages/files/processors.py b/backend/api/quivr_api/packages/files/processors.py deleted file mode 100644 index 217494c537a1..000000000000 --- a/backend/api/quivr_api/packages/files/processors.py +++ /dev/null @@ -1,112 +0,0 @@ -from quivr_api.modules.brain.service.brain_service import BrainService - -from .parsers.audio import process_audio -from .parsers.bibtex import process_bibtex -from .parsers.code_python import process_python -from .parsers.csv import process_csv -from .parsers.docx import process_docx -from .parsers.epub import process_epub -from .parsers.html import process_html -from .parsers.markdown import process_markdown -from .parsers.notebook import process_ipnyb -from .parsers.odt import process_odt -from .parsers.pdf import process_pdf -from .parsers.powerpoint import process_powerpoint -from .parsers.telegram import process_telegram -from .parsers.txt import process_txt -from .parsers.xlsx import process_xlsx - -file_processors = { - ".txt": process_txt, - ".csv": process_csv, - ".md": process_markdown, - ".markdown": process_markdown, - ".telegram": process_telegram, - ".m4a": process_audio, - ".mp3": process_audio, - ".webm": process_audio, - ".mp4": process_audio, - ".mpga": process_audio, - ".wav": process_audio, - ".mpeg": process_audio, - ".pdf": process_pdf, - ".html": process_html, - ".bib": process_bibtex, - ".pptx": process_powerpoint, - ".docx": process_docx, - ".odt": process_odt, - ".xlsx": process_xlsx, - ".xls": process_xlsx, - ".epub": process_epub, - ".ipynb": process_ipnyb, - ".py": process_python, -} - - -def create_response(message, type): - return {"message": message, "type": type} - - -brain_service = BrainService() - - -# TODO: Move filter_file to a file service to avoid circular imports from quivr_api.models/files.py for File class -def filter_file( - file, - brain_id, - original_file_name=None, - integration=None, - integration_link=None, -): - file_exists = file.file_already_exists() - file_exists_in_brain = file.file_already_exists_in_brain(brain_id) - using_file_name = file.file_name - - brain = brain_service.get_brain_by_id(brain_id) - if brain is None: - raise Exception("It seems like you're uploading knowledge to an unknown brain.") - - if file_exists_in_brain: - return create_response( - f"🤔 {using_file_name} already exists in brain {brain.name}.", # pyright: ignore reportPrivateUsage=none - "warning", - ) - elif file.file_is_empty(): - return create_response( - f"❌ {original_file_name} is empty.", # pyright: ignore reportPrivateUsage=none - "error", # pyright: ignore reportPrivateUsage=none - ) - elif file_exists: - file.link_file_to_brain(brain_id) - return create_response( - f"✅ {using_file_name} has been uploaded to brain {brain.name}.", # pyright: ignore reportPrivateUsage=none - "success", - ) - - if file.file_extension in file_processors: - try: - result = file_processors[file.file_extension]( - file=file, - brain_id=brain_id, - original_file_name=original_file_name, - integration=integration, - integration_link=integration_link, - ) - if result is None or result == 0: - return create_response( - f"？ {using_file_name} has been uploaded to brain. There might have been an error while reading it, please make sure the file is not illformed or just an image", # pyright: ignore reportPrivateUsage=none - "warning", - ) - return create_response( - f"✅ {using_file_name} has been uploaded to brain {brain.name} in {result} chunks", # pyright: ignore reportPrivateUsage=none - "success", - ) - except Exception as e: - # Add more specific exceptions as needed. - print(f"Error processing file: {e}") - raise e - - return create_response( - f"❌ {using_file_name} is not supported.", # pyright: ignore reportPrivateUsage=none - "error", - ) diff --git a/backend/api/quivr_api/routes/crawl_routes.py b/backend/api/quivr_api/routes/crawl_routes.py index e65e5aa86f8d..31db73846838 100644 --- a/backend/api/quivr_api/routes/crawl_routes.py +++ b/backend/api/quivr_api/routes/crawl_routes.py @@ -1,14 +1,17 @@ -from typing import Optional +from typing import Annotated, Optional from uuid import UUID -from fastapi import APIRouter, Depends, Query, Request -from quivr_api.celery_worker import process_crawl_and_notify +from fastapi import APIRouter, Depends, Query + +from quivr_api.celery_config import celery from quivr_api.logger import get_logger from quivr_api.middlewares.auth import AuthBearer, get_current_user +from quivr_api.models.crawler import CrawlWebsite from quivr_api.modules.brain.entity.brain_entity import RoleEnum from quivr_api.modules.brain.service.brain_authorization_service import ( validate_brain_authorization, ) +from quivr_api.modules.dependencies import get_service from quivr_api.modules.knowledge.dto.inputs import CreateKnowledgeProperties from quivr_api.modules.knowledge.service.knowledge_service import KnowledgeService from quivr_api.modules.notification.dto.inputs import CreateNotification @@ -18,14 +21,15 @@ ) from quivr_api.modules.user.entity.user_identity import UserIdentity from quivr_api.modules.user.service.user_usage import UserUsage -from quivr_api.packages.files.crawl.crawler import CrawlWebsite -from quivr_api.packages.files.file import convert_bytes +from quivr_api.utils.byte_size import convert_bytes logger = get_logger(__name__) crawl_router = APIRouter() notification_service = NotificationService() -knowledge_service = KnowledgeService() +KnowledgeServiceDep = Annotated[ + KnowledgeService, Depends(get_service(KnowledgeService)) +] @crawl_router.get("/crawl/healthz", tags=["Health"]) @@ -35,8 +39,8 @@ async def healthz(): @crawl_router.post("/crawl", dependencies=[Depends(AuthBearer())], tags=["Crawl"]) async def crawl_endpoint( - request: Request, crawl_website: CrawlWebsite, + knowledge_service: KnowledgeServiceDep, bulk_id: Optional[UUID] = Query(None, description="The ID of the bulk upload"), brain_id: UUID = Query(..., description="The ID of the brain"), chat_id: Optional[UUID] = Query(None, description="The ID of the chat"), @@ -78,17 +82,22 @@ async def crawl_endpoint( knowledge_to_add = CreateKnowledgeProperties( brain_id=brain_id, url=crawl_website.url, - extension="html", + mime_type="application/html", + source="web", + source_link=crawl_website.url, ) - added_knowledge = knowledge_service.add_knowledge(knowledge_to_add) + added_knowledge = await knowledge_service.add_knowledge(knowledge_to_add) logger.info(f"Knowledge {added_knowledge} added successfully") - process_crawl_and_notify.delay( - crawl_website_url=crawl_website.url, - brain_id=brain_id, - knowledge_id=added_knowledge.id, - notification_id=upload_notification.id, + celery.send_task( + "process_crawl_task", + kwargs={ + "crawl_website_url": crawl_website.url, + "brain_id": brain_id, + "knowledge_id": added_knowledge.id, + "notification_id": upload_notification.id, + }, ) return {"message": "Crawl processing has started."} diff --git a/backend/api/quivr_api/packages/utils/__init__.py b/backend/api/quivr_api/utils/__init__.py similarity index 100% rename from backend/api/quivr_api/packages/utils/__init__.py rename to backend/api/quivr_api/utils/__init__.py diff --git a/backend/api/quivr_api/utils/byte_size.py b/backend/api/quivr_api/utils/byte_size.py new file mode 100644 index 000000000000..fde05a017ae0 --- /dev/null +++ b/backend/api/quivr_api/utils/byte_size.py @@ -0,0 +1,11 @@ +def convert_bytes(bytes: int, precision=2): + """Converts bytes into a human-friendly format.""" + abbreviations = ["B", "KB", "MB"] + if bytes <= 0: + return "0 B" + size = bytes + index = 0 + while size >= 1024 and index < len(abbreviations) - 1: + size /= 1024 + index += 1 + return f"{size:.{precision}f} {abbreviations[index]}" diff --git a/backend/api/quivr_api/packages/utils/handle_request_validation_error.py b/backend/api/quivr_api/utils/handle_request_validation_error.py similarity index 100% rename from backend/api/quivr_api/packages/utils/handle_request_validation_error.py rename to backend/api/quivr_api/utils/handle_request_validation_error.py diff --git a/backend/api/quivr_api/packages/utils/parse_message_time.py b/backend/api/quivr_api/utils/parse_message_time.py similarity index 100% rename from backend/api/quivr_api/packages/utils/parse_message_time.py rename to backend/api/quivr_api/utils/parse_message_time.py diff --git a/backend/api/quivr_api/packages/emails/send_email.py b/backend/api/quivr_api/utils/send_email.py similarity index 100% rename from backend/api/quivr_api/packages/emails/send_email.py rename to backend/api/quivr_api/utils/send_email.py diff --git a/backend/api/quivr_api/packages/utils/telemetry.py b/backend/api/quivr_api/utils/telemetry.py similarity index 80% rename from backend/api/quivr_api/packages/utils/telemetry.py rename to backend/api/quivr_api/utils/telemetry.py index 56581c556b94..e6c94f351f80 100644 --- a/backend/api/quivr_api/packages/utils/telemetry.py +++ b/backend/api/quivr_api/utils/telemetry.py @@ -1,10 +1,10 @@ import hashlib import json import os -import threading import httpx from fastapi import Request + from quivr_api.logger import get_logger logger = get_logger(__name__) @@ -18,7 +18,7 @@ def generate_machine_key(): # Get the OpenAI API key from the environment variables - seed = os.getenv("OPENAI_API_KEY") + seed = os.getenv("OPENAI_API_KEY") or "" # Use SHA-256 hash to generate a unique key from the seed unique_key = hashlib.sha256(seed.encode()).hexdigest() @@ -26,7 +26,7 @@ def generate_machine_key(): return unique_key -def send_telemetry(event_name: str, event_data: dict, request: Request = None): +def send_telemetry(event_name: str, event_data: dict, request: Request | None = None): # Generate a unique machine key machine_key = generate_machine_key() domain = None @@ -43,17 +43,19 @@ def send_telemetry(event_name: str, event_data: dict, request: Request = None): } ) + # TODO: client should only live once # Send the telemetry data with httpx.Client() as client: _ = client.post(TELEMETRY_URL, headers=HEADERS, data=payload) -def maybe_send_telemetry(event_name: str, event_data: dict, request: Request = None): +def maybe_send_telemetry( + event_name: str, + event_data: dict, + request: Request | None = None, +): enable_telemetry = os.getenv("TELEMETRY_ENABLED", "false") - - if enable_telemetry.lower() != "true": + if enable_telemetry.lower() == "false": return - threading.Thread( - target=send_telemetry, args=(event_name, event_data, request) - ).start() + send_telemetry(event_name, event_data, request) diff --git a/backend/api/quivr_api/packages/utils/uuid_generator.py b/backend/api/quivr_api/utils/uuid_generator.py similarity index 100% rename from backend/api/quivr_api/packages/utils/uuid_generator.py rename to backend/api/quivr_api/utils/uuid_generator.py diff --git a/backend/api/quivr_api/vector/entity/vector.py b/backend/api/quivr_api/vector/entity/vector.py new file mode 100644 index 000000000000..eb77f7ba76ce --- /dev/null +++ b/backend/api/quivr_api/vector/entity/vector.py @@ -0,0 +1,47 @@ +from typing import Optional +from uuid import UUID + +from pgvector.sqlalchemy import Vector as PGVector +from pydantic import BaseModel +from quivr_api.models.settings import settings +from sqlalchemy import Column +from sqlmodel import JSON +from sqlmodel import UUID as PGUUID +from sqlmodel import Column, Field, SQLModel, text + + +class Vector(SQLModel, table=True): + __tablename__ = "vectors" # type: ignore + id: UUID | None = Field( + default=None, + sa_column=Column( + PGUUID, + server_default=text("uuid_generate_v4()"), + primary_key=True, + ), + ) + content: str = Field(default=None) + metadata_: dict = Field(default={}, sa_column=Column("metadata", JSON, default={})) + embedding: Optional[PGVector] = Field( + sa_column=Column(PGVector(settings.embedding_dim)), + ) # Verify with text_ada -> put it in Env variabme + knowledge_id: UUID = Field(default=None, foreign_key="knowledge.id") + + class Config: + arbitrary_types_allowed = True + + +class VectorType(BaseModel): + id: UUID | None + content: str + metadata_: dict + knowledge_id: UUID + +class SimilaritySearchOutput(BaseModel): + id: UUID + brain_id: UUID + knowledge_id: UUID + content: str + metadata_: dict + embedding: str + similarity: float diff --git a/backend/api/quivr_api/vector/repository/vectors_repository.py b/backend/api/quivr_api/vector/repository/vectors_repository.py new file mode 100644 index 000000000000..b1138623b82f --- /dev/null +++ b/backend/api/quivr_api/vector/repository/vectors_repository.py @@ -0,0 +1,113 @@ +from typing import Any, List, Sequence +from uuid import UUID + +from sqlalchemy import exc, text +from sqlmodel import Session + +from quivr_api.logger import get_logger +from quivr_api.modules.dependencies import BaseRepository +from quivr_api.vector.entity.vector import SimilaritySearchOutput, Vector + +logger = get_logger(__name__) + + +class VectorRepository(BaseRepository): + def __init__(self, session: Session): + super().__init__(session) + self.session = session + + def create_vectors(self, new_vectors: List[Vector]) -> List[Vector]: + try: + # Use SQLAlchemy session to add and commit the new vector + self.session.add_all(new_vectors) + self.session.commit() + except exc.IntegrityError: + # Rollback the session if there’s an IntegrityError + self.session.rollback() + raise Exception("Integrity error occurred while creating vector.") + except Exception as e: + self.session.rollback() + print(f"Error: {e}") + raise Exception(f"An error occurred while creating vector: {e}") + + # Refresh the session to get any updated fields (like auto-generated IDs) + for vector in new_vectors: + self.session.refresh(vector) + + return new_vectors + + def similarity_search( + self, + query_embedding: List[float], + brain_id: UUID, + k: int = 40, + max_chunk_sum: int = 10000, # Example value + **kwargs: Any, + ) -> Sequence[SimilaritySearchOutput]: + sql_query = text(""" + WITH ranked_vectors AS ( + SELECT + v.id AS vector_id, + kb.brain_id AS vector_brain_id, + v.knowledge_id AS vector_knowledge_id, + v.content AS vector_content, + v.metadata AS vector_metadata, + v.embedding AS vector_embedding, + 1 - (v.embedding <=> (:query_embedding)::vector) AS calculated_similarity, + (v.metadata->>'chunk_size')::integer AS chunk_size + FROM + vectors v + INNER JOIN + knowledge_brain kb ON v.knowledge_id = kb.knowledge_id + WHERE + kb.brain_id = :p_brain_id + ORDER BY + calculated_similarity DESC + ), filtered_vectors AS ( + SELECT + vector_id, + vector_brain_id, + vector_knowledge_id, + vector_content, + vector_metadata, + vector_embedding, + calculated_similarity, + chunk_size, + sum(chunk_size) OVER (ORDER BY calculated_similarity DESC) AS running_total + FROM ranked_vectors + ) + SELECT + vector_id AS id, + vector_brain_id AS brain_id, + vector_knowledge_id AS knowledge_id, + vector_content AS content, + vector_metadata AS metadata, + vector_embedding AS embedding, + calculated_similarity AS similarity + FROM filtered_vectors + WHERE running_total <= :max_chunk_sum + LIMIT :k + """) + + params = { + "query_embedding": query_embedding, + "p_brain_id": brain_id, + "k": k, + "max_chunk_sum": max_chunk_sum, + } + + result = self.session.execute(sql_query, params=params) + full_results = result.all() + formated_result = [ + SimilaritySearchOutput( + id=row.id, + brain_id=row.brain_id, + knowledge_id=row.knowledge_id, + content=row.content, + metadata_=row.metadata, + embedding=row.embedding, + similarity=row.similarity, + ) + for row in full_results + ] + return formated_result diff --git a/backend/api/quivr_api/vector/service/vector_service.py b/backend/api/quivr_api/vector/service/vector_service.py new file mode 100644 index 000000000000..1c0b173fbf7f --- /dev/null +++ b/backend/api/quivr_api/vector/service/vector_service.py @@ -0,0 +1,70 @@ +from typing import List +from uuid import UUID + +from langchain.docstore.document import Document +from langchain.embeddings.base import Embeddings +from quivr_api.logger import get_logger +from quivr_api.modules.dependencies import BaseService, get_embedding_client +from quivr_api.vector.entity.vector import Vector +from quivr_api.vector.repository.vectors_repository import VectorRepository + +logger = get_logger(__name__) +class VectorService(BaseService[VectorRepository]): + repository_cls = VectorRepository + _embedding: Embeddings = get_embedding_client() + + def __init__(self, repository: VectorRepository): + self.repository = repository + + def create_vectors( + self, chunks: List[Document], knowledge_id: UUID + ) -> List[UUID]: + # Vector is created upon the user's first question asked + logger.info( + f"New vector entry in vectors table for knowledge_id {knowledge_id}" + ) + # FIXME ADD a check in case of failure + embeddings = self._embedding.embed_documents( + [chunk.page_content for chunk in chunks] + ) + new_vectors = [ + Vector( + content=chunk.page_content, + metadata_=chunk.metadata, + embedding=embeddings[i], #type: ignore + knowledge_id=knowledge_id, + ) + for i, chunk in enumerate(chunks) + ] + created_vector = self.repository.create_vectors(new_vectors) + + return [vector.id for vector in created_vector if vector.id] + + def similarity_search(self, query: str, brain_id: UUID, k: int = 40): + vectors = self._embedding.embed_documents([query]) + query_embedding = vectors[0] + vectors = self.repository.similarity_search(query_embedding= query_embedding, brain_id=brain_id, k=k) + + match_result = [ + Document( + metadata={ + **search.metadata_, + "id": search.id, + "similarity": search.similarity, + }, + page_content=search.content, + ) + for search in vectors + if search.content + ] + + sorted_match_result_by_file_name_metadata = sorted( + match_result, + key=lambda x: ( + x.metadata.get("file_name", ""), + x.metadata.get("index", float("inf")), + ), + ) + + + return sorted_match_result_by_file_name_metadata diff --git a/backend/api/quivr_api/vectorstore/supabase.py b/backend/api/quivr_api/vectorstore/supabase.py index 9e017c8955f1..63b4182ec0b2 100644 --- a/backend/api/quivr_api/vectorstore/supabase.py +++ b/backend/api/quivr_api/vectorstore/supabase.py @@ -5,9 +5,13 @@ from langchain.embeddings.base import Embeddings from langchain_community.vectorstores import SupabaseVectorStore from quivr_api.logger import get_logger +# from quivr_api.modules.dependencies import get_pg_database_engine +from quivr_api.vector.service.vector_service import VectorService from supabase.client import Client logger = get_logger(__name__) +# engine = get_pg_database_engine() +# Session = sessionmaker(bind=engine) class CustomSupabaseVectorStore(SupabaseVectorStore): @@ -18,6 +22,7 @@ def __init__( client: Client, embedding: Embeddings, table_name: str, + vector_service: VectorService, brain_id: UUID | None = None, user_id: UUID | None = None, number_docs: int = 35, @@ -28,6 +33,7 @@ def __init__( self.user_id = user_id self.number_docs = number_docs self.max_input = max_input + self.vector_service = vector_service def find_brain_closest_query( self, @@ -69,36 +75,9 @@ def similarity_search( threshold: float = 0.5, **kwargs: Any, ) -> List[Document]: - vectors = self._embedding.embed_documents([query]) - query_embedding = vectors[0] - res = self._client.rpc( - table, - { - "query_embedding": query_embedding, - "max_chunk_sum": self.max_input, - "p_brain_id": str(self.brain_id), - }, - ).execute() - - match_result = [ - Document( - metadata={ - **search.get("metadata", {}), - "id": search.get("id", ""), - "similarity": search.get("similarity", 0.0), - }, - page_content=search.get("content", ""), - ) - for search in res.data - if search.get("content") - ] + logger.debug(f"Similarity search for query: {query}") + assert self.brain_id, "Brain ID is required for similarity search" - sorted_match_result_by_file_name_metadata = sorted( - match_result, - key=lambda x: ( - x.metadata.get("file_name", ""), - x.metadata.get("index", float("inf")), - ), - ) + res = self.vector_service.similarity_search(query, brain_id=self.brain_id, k=k) - return sorted_match_result_by_file_name_metadata + return res \ No newline at end of file diff --git a/backend/api/requirements.txt b/backend/api/requirements.txt deleted file mode 100644 index 74d6379085f7..000000000000 --- a/backend/api/requirements.txt +++ /dev/null @@ -1,309 +0,0 @@ --i https://pypi.org/simple -# Ensure PyTorch, along with its required dependencies, is explicitly installed in 'CPU-only' mode to optimize compatibility and performance for systems without GPU support. ---extra-index-url https://download.pytorch.org/whl/cpu -aiohttp==3.9.5; python_version >= '3.8' -aiosignal==1.3.1; python_version >= '3.7' -amqp==5.2.0; python_version >= '3.6' -annotated-types==0.7.0; python_version >= '3.8' -antlr4-python3-runtime==4.9.3 -anyio==4.4.0; python_version >= '3.8' -appdirs==1.4.4 -astor==0.8.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -async-generator==1.10; python_version >= '3.5' -async-timeout==4.0.3; python_full_version < '3.12.0' -asyncpg==0.29.0; python_full_version >= '3.8.0' -attrs==23.2.0; python_version >= '3.7' -backoff==2.2.1; python_version >= '3.7' and python_version < '4.0' -beautifulsoup4==4.12.3; python_full_version >= '3.6.0' -billiard==4.2.0; python_version >= '3.7' -black==24.4.2; python_version >= '3.8' -boto3==1.34.120; python_version >= '3.8' -botocore==1.34.120; python_version >= '3.8' -cachetools==5.3.3; python_version >= '3.7' -celery[redis,sqs]==5.4.0; python_version >= '3.8' -certifi==2024.6.2; python_version >= '3.6' -cffi==1.16.0; platform_python_implementation != 'PyPy' -chardet==5.2.0; python_version >= '3.7' -charset-normalizer==3.3.2; python_full_version >= '3.7.0' -click==8.1.7; python_version >= '3.7' -click-didyoumean==0.3.1; python_full_version >= '3.6.2' -click-plugins==1.1.1 -click-repl==0.3.0; python_version >= '3.6' -cohere==5.5.4; python_version >= '3.8' and python_version < '4.0' -coloredlogs==15.0.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -colorlog==6.8.2; python_version >= '3.6' -contourpy==1.2.1; python_version >= '3.9' -cryptography==42.0.8; python_version >= '3.7' -cssselect==1.2.0; python_version >= '3.7' -cycler==0.12.1; python_version >= '3.8' -dataclasses-json==0.6.6; python_version >= '3.7' and python_version < '4.0' -datasets==2.19.2; python_full_version >= '3.8.0' -debugpy==1.8.1; python_version >= '3.8' -decorator==5.1.1; python_version >= '3.5' -deepdiff==7.0.1; python_version >= '3.8' -defusedxml==0.7.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -deprecated==1.2.14; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -deprecation==2.1.0 -dill==0.3.8; python_version >= '3.8' -dirtyjson==1.0.8 -diskcache==5.6.3; python_version >= '3' -distro==1.9.0; python_version >= '3.6' -dnspython==2.6.1; python_version >= '3.8' -docker==7.1.0; python_version >= '3.8' -docx2txt==0.8 -duckdb==0.10.3; python_full_version >= '3.7.0' -duckduckgo-search==6.1.5; python_version >= '3.8' -ecdsa==0.19.0; python_version >= '2.6' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -effdet==0.4.1 -email-validator==2.1.1; python_version >= '3.8' -emoji==2.12.1; python_version >= '3.7' -et-xmlfile==1.1.0; python_version >= '3.6' -faker==19.13.0; python_version >= '3.8' -fastapi==0.111.0; python_version >= '3.8' -fastapi-cli==0.0.4; python_version >= '3.8' -fastavro==1.9.4; python_version >= '3.8' -feedfinder2==0.0.4 -feedparser==6.0.11; python_version >= '3.6' -filelock==3.14.0; python_version >= '3.8' -filetype==1.2.0 -flake8==7.0.0; python_full_version >= '3.8.1' -flake8-black==0.3.6; python_version >= '3.7' -flashrank==0.2.5; python_version >= '3.6' -flatbuffers==24.3.25 -flower==2.0.1; python_version >= '3.7' -fonttools==4.53.0; python_version >= '3.8' -fpdf2==2.7.9; python_version >= '3.7' -frozenlist==1.4.1; python_version >= '3.8' -fsspec[http]==2024.3.1; python_version >= '3.8' -gitdb==4.0.11; python_version >= '3.7' -gitpython==3.1.43; python_version >= '3.7' -google-api-core[grpc]==2.19.0; python_version >= '3.7' -google-api-python-client==2.132.0; python_version >= '3.7' -google-auth==2.29.0; python_version >= '3.7' -google-auth-httplib2==0.2.0 -google-auth-oauthlib==1.2.0; python_version >= '3.6' -google-cloud-vision==3.7.2 -googleapis-common-protos==1.63.1; python_version >= '3.7' -gotrue==2.4.4; python_version >= '3.8' and python_version < '4.0' -greenlet==3.0.3; python_version >= '3.7' -grpcio==1.64.1 -grpcio-status==1.62.2 -h11==0.14.0; python_version >= '3.7' -html5lib==1.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -httpcore==1.0.5; python_version >= '3.8' -httplib2==0.22.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -httptools==0.6.1 -httpx==0.27.0; python_version >= '3.8' -httpx-sse==0.4.0; python_version >= '3.8' -huggingface-hub==0.23.3; python_full_version >= '3.8.0' -humanfriendly==10.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -humanize==4.9.0; python_version >= '3.8' -idna==3.7; python_version >= '3.5' -importlib-metadata==7.1.0; python_version >= '3.8' -iniconfig==2.0.0; python_version >= '3.7' -iopath==0.1.10; python_version >= '3.6' -jieba3k==0.35.1 -jinja2==3.1.4; python_version >= '3.7' -jmespath==1.0.1; python_version >= '3.7' -joblib==1.4.2; python_version >= '3.8' -jq==1.7.0; python_version >= '3.5' -jsonpatch==1.33; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6' -jsonpath-python==1.0.6; python_version >= '3.6' -jsonpointer==2.4; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6' -kiwisolver==1.4.5; python_version >= '3.7' -kombu[sqs]==5.3.7; python_version >= '3.8' -langchain==0.2.2; python_version < '4.0' and python_full_version >= '3.8.1' -langchain-cohere==0.1.5; python_version < '4.0' and python_full_version >= '3.8.1' -langchain-community==0.2.3; python_version < '4.0' and python_full_version >= '3.8.1' -langchain-core==0.2.4; python_version < '4.0' and python_full_version >= '3.8.1' -langchain-openai==0.1.8; python_version < '4.0' and python_full_version >= '3.8.1' -langchain-text-splitters==0.2.1; python_version < '4.0' and python_full_version >= '3.8.1' -langdetect==1.0.9 -langfuse==2.34.2; python_version < '4.0' and python_full_version >= '3.8.1' -langgraph==0.0.64; python_version < '4.0' and python_full_version >= '3.9.0' -langsmith==0.1.74; python_version < '4.0' and python_full_version >= '3.8.1' -layoutparser[layoutmodels,tesseract]==0.3.4; python_version >= '3.6' -litellm==1.40.4; python_version not in '2.7, 3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7' and python_version >= '3.8' -llama-cpp-python==0.2.67; python_version >= '3.8' -llama-index==0.10.43; python_version < '4.0' and python_full_version >= '3.8.1' -llama-index-agent-openai==0.2.7; python_version < '4.0' and python_full_version >= '3.8.1' -llama-index-cli==0.1.12; python_version < '4.0' and python_full_version >= '3.8.1' -llama-index-core==0.10.43; python_version < '4.0' and python_full_version >= '3.8.1' -llama-index-embeddings-openai==0.1.10; python_version < '4.0' and python_full_version >= '3.8.1' -llama-index-indices-managed-llama-cloud==0.1.6; python_version < '4.0' and python_full_version >= '3.8.1' -llama-index-legacy==0.9.48; python_version < '4.0' and python_full_version >= '3.8.1' -llama-index-llms-openai==0.1.22; python_version < '4.0' and python_full_version >= '3.8.1' -llama-index-multi-modal-llms-openai==0.1.6; python_version < '4.0' and python_full_version >= '3.8.1' -llama-index-program-openai==0.1.6; python_version < '4.0' and python_full_version >= '3.8.1' -llama-index-question-gen-openai==0.1.3; python_version < '4.0' and python_full_version >= '3.8.1' -llama-index-readers-file==0.1.23; python_version < '4.0' and python_full_version >= '3.8.1' -llama-index-readers-llama-parse==0.1.4; python_version < '4.0' and python_full_version >= '3.8.1' -llama-parse==0.4.4; python_version < '4.0' and python_full_version >= '3.8.1' -llamaindex-py-client==0.1.19; python_version >= '3.8' and python_version < '4' -lxml[html_clean]==5.2.2; python_version >= '3.6' -lxml-html-clean==0.1.1 -markdown==3.6 -markdown-it-py==3.0.0; python_version >= '3.8' -markupsafe==2.1.5; python_version >= '3.7' -marshmallow==3.21.3; python_version >= '3.8' -matplotlib==3.9.0; python_version >= '3.9' -mccabe==0.7.0; python_version >= '3.6' -mdurl==0.1.2; python_version >= '3.7' -monotonic==1.6 -mpmath==1.3.0 -msal==1.28.0; python_version >= '3.7' -msg-parser==1.2.0 -multidict==6.0.5; python_version >= '3.7' -multiprocess==0.70.16; python_version >= '3.8' -mypy-extensions==1.0.0; python_version >= '3.5' -nest-asyncio==1.6.0; python_version >= '3.5' -networkx==3.3; python_version >= '3.10' -newspaper3k==0.2.8 -nltk==3.8.1; python_version >= '3.7' -nodeenv==1.9.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6' -numpy==1.26.4; python_version >= '3.9' -oauthlib==3.2.2; python_version >= '3.6' -olefile==0.47; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -omegaconf==2.3.0; python_version >= '3.6' -onnx==1.16.1 -onnxruntime==1.18.0 -openai==1.31.1; python_full_version >= '3.7.1' -opencv-python==4.10.0.82; python_version >= '3.6' -openpyxl==3.1.3 -ordered-set==4.1.0; python_version >= '3.7' -orjson==3.10.3; python_version >= '3.8' -packaging==23.2; python_version >= '3.7' -pandas==1.5.3; python_version >= '3.8' -pandasai==2.1.1; python_version not in '2.7, 3.0, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8' and python_version >= '3.9' -pathspec==0.12.1; python_version >= '3.8' -pdf2image==1.17.0 -pdfminer.six==20231228 -pdfplumber==0.11.0; python_version >= '3.8' -pikepdf==9.0.0 -pillow==10.3.0; python_version >= '3.8' -pillow-heif==0.16.0 -platformdirs==4.2.2; python_version >= '3.8' -playwright==1.44.0; python_version >= '3.8' -pluggy==1.5.0; python_version >= '3.8' -portalocker==2.8.2; python_version >= '3.8' -postgrest==0.16.8; python_version >= '3.8' and python_version < '4.0' -posthog==3.5.0 -prometheus-client==0.20.0; python_version >= '3.8' -prompt-toolkit==3.0.46; python_full_version >= '3.7.0' -proto-plus==1.23.0; python_version >= '3.6' -protobuf==4.25.3; python_version >= '3.8' -psutil==5.9.8; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5' -psycopg2==2.9.9; python_version >= '3.7' -psycopg2-binary==2.9.9; python_version >= '3.7' -py==1.11.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -pyarrow==16.1.0; python_version >= '3.8' -pyarrow-hotfix==0.6; python_version >= '3.5' -pyasn1==0.6.0; python_version >= '3.8' -pyasn1-modules==0.4.0; python_version >= '3.8' -pycocotools==2.0.7; python_version >= '3.5' -pycodestyle==2.11.1; python_version >= '3.8' -pycparser==2.22; python_version >= '3.8' -pycurl==7.45.3 -pydantic==2.7.3; python_version >= '3.8' -pydantic-core==2.18.4; python_version >= '3.8' -pydantic-settings==2.3.1; python_version >= '3.8' -pyee==11.1.0; python_version >= '3.8' -pyflakes==3.2.0; python_version >= '3.8' -pygments==2.18.0; python_version >= '3.8' -pyinstrument==4.6.2; python_version >= '3.7' -pyjwt[crypto]==2.8.0; python_version >= '3.7' -pypandoc==1.13; python_version >= '3.6' -pyparsing==3.1.2; python_version >= '3.1' -pypdf==4.2.0; python_version >= '3.6' -pypdfium2==4.30.0; python_version >= '3.6' -pyreqwest-impersonate==0.4.7; python_version >= '3.8' -pyright==1.1.366; python_version >= '3.7' -pysbd==0.3.4; python_version >= '3' -pytesseract==0.3.10; python_version >= '3.7' -pytest==8.2.2; python_version >= '3.8' -pytest-celery==1.0.0; python_version >= '3.8' and python_version < '4.0' -pytest-docker-tools==3.1.3; python_full_version >= '3.7.0' and python_full_version < '4.0.0' -pytest-dotenv==0.5.2 -pytest-mock==3.14.0; python_version >= '3.8' -python-dateutil==2.9.0.post0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -python-docx==1.1.2 -python-dotenv==1.0.1; python_version >= '3.8' -python-iso639==2024.4.27; python_version >= '3.8' -python-jose==3.3.0 -python-magic==0.4.27; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4' -python-multipart==0.0.9; python_version >= '3.8' -python-pptx==0.6.23 -pytz==2024.1 -pyyaml==6.0.1; python_version >= '3.6' -ragas==0.1.9 -rapidfuzz==3.9.3; python_version >= '3.8' -realtime==1.0.5; python_version >= '3.8' and python_version < '4.0' -redis==5.0.5; python_version >= '3.7' -regex==2024.5.15; python_version >= '3.8' -requests==2.32.3; python_version >= '3.8' -requests-file==2.1.0 -requests-oauthlib==2.0.0; python_version >= '3.4' -requests-toolbelt==1.0.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -resend==2.0.0; python_version >= '3.7' -retry==0.9.2 -rich==13.7.1; python_full_version >= '3.7.0' -rsa==4.9; python_version >= '3.6' and python_version < '4' -s3transfer==0.10.1; python_version >= '3.8' -safetensors==0.4.3; python_version >= '3.7' -scipy==1.13.1; python_version >= '3.9' -sentry-sdk[fastapi]==2.5.0; python_version >= '3.6' -setuptools==70.0.0; python_version >= '3.8' -sgmllib3k==1.0.0 -shellingham==1.5.4; python_version >= '3.7' -six==1.16.0; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3' -smmap==5.0.1; python_version >= '3.7' -sniffio==1.3.1; python_version >= '3.7' -soupsieve==2.5; python_version >= '3.8' -sqlalchemy[asyncio]==2.0.30; python_version >= '3.7' -starlette==0.37.2; python_version >= '3.8' -storage3==0.7.6; python_version >= '3.8' and python_version < '4.0' -strenum==0.4.15 -striprtf==0.0.26 -supabase==2.5.0; python_version >= '3.8' and python_version < '4.0' -supafunc==0.4.6; python_version >= '3.8' and python_version < '4.0' -sympy==1.12.1; python_version >= '3.8' -tabulate==0.9.0; python_version >= '3.7' -tavily-python==0.3.3; python_version >= '3.6' -tenacity==8.3.0; python_version >= '3.8' -tiktoken==0.7.0; python_version >= '3.8' -timm==1.0.3; python_version >= '3.8' -tinysegmenter==0.3 -tldextract==5.1.2; python_version >= '3.8' -tokenizers==0.15.2; python_version >= '3.7' -torch==2.3.1; python_full_version >= '3.8.0' -torchvision==0.18.1; python_version >= '3.8' -tornado==6.4; python_version >= '3.8' -tqdm==4.66.4; python_version >= '3.7' -transformers==4.39.3; python_full_version >= '3.8.0' -typer==0.12.3; python_version >= '3.7' -types-requests==2.32.0.20240602; python_version >= '3.8' -typing-extensions==4.12.1; python_version >= '3.8' -typing-inspect==0.9.0 -tzdata==2024.1; python_version >= '2' -ujson==5.10.0; python_version >= '3.8' -unidecode==1.3.8; python_version >= '3.5' -unstructured[all-docs]==0.14.4; python_version < '3.13' and python_full_version >= '3.9.0' -unstructured-client==0.23.0; python_version >= '3.8' -unstructured-inference==0.7.33 -unstructured.pytesseract==0.3.12 -uritemplate==4.1.1; python_version >= '3.6' -urllib3==2.2.1; python_version >= '3.8' -uvicorn[standard]==0.30.1; python_version >= '3.8' -uvloop==0.19.0 -vine==5.1.0; python_version >= '3.6' -watchdog==4.0.1; python_version >= '3.8' -watchfiles==0.22.0 -wcwidth==0.2.13 -webencodings==0.5.1 -websockets==12.0; python_version >= '3.8' -wrapt==1.16.0; python_version >= '3.6' -xlrd==2.0.1; python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4, 3.5' -xlsxwriter==3.2.0; python_version >= '3.6' -xxhash==3.4.1; python_version >= '3.7' -yarl==1.9.4; python_version >= '3.7' -zipp==3.19.2; python_version >= '3.8' diff --git a/backend/api/tests/__init__.py b/backend/api/tests/__init__.py deleted file mode 100644 index e69de29bb2d1..000000000000 diff --git a/backend/api/tests/contact/conftest.py b/backend/api/tests/contact/conftest.py deleted file mode 100644 index 4f527facd937..000000000000 --- a/backend/api/tests/contact/conftest.py +++ /dev/null @@ -1,6 +0,0 @@ -import pytest - - -@pytest.fixture(autouse=True) -def no_requests(monkeypatch): - monkeypatch.delattr("requests.sessions.Session.request") diff --git a/backend/api/tests/contact/test_contact.py b/backend/api/tests/contact/test_contact.py deleted file mode 100644 index 0e124641b882..000000000000 --- a/backend/api/tests/contact/test_contact.py +++ /dev/null @@ -1,17 +0,0 @@ -# def test_post_contact(client, mocker): -# # Mock the send_email function -# mock_send_email = mocker.patch( -# "modules.contact_support.controller.contact_routes.resend_contact_sales_email" -# ) - -# # Define test data -# test_data = {"customer_email": "test@example.com", "content": "Test message"} - -# # Call the endpoint -# response = client.post("/contact", json=test_data) - -# # Assert that the response is as expected -# assert response.status_code == 200 - -# # Assert that send_email was called with the expected parameters -# mock_send_email.assert_called_once() diff --git a/backend/api/tests/crawl/__init__.py b/backend/api/tests/crawl/__init__.py deleted file mode 100644 index e69de29bb2d1..000000000000 diff --git a/backend/api/tests/crawl/test_crawl.py b/backend/api/tests/crawl/test_crawl.py deleted file mode 100644 index c3af5c7c3e4c..000000000000 --- a/backend/api/tests/crawl/test_crawl.py +++ /dev/null @@ -1,9 +0,0 @@ -from quivr_api.packages.files.crawl.crawler import CrawlWebsite - - -def test_crawl(): - url = "https://en.wikipedia.org/wiki/Python_(programming_language)" - crawl_website = CrawlWebsite(url=url) - extracted_content = crawl_website.process() - - assert len(extracted_content) > 1 diff --git a/backend/api/tests/file_process/__init__.py b/backend/api/tests/file_process/__init__.py deleted file mode 100644 index e69de29bb2d1..000000000000 diff --git a/backend/api/tests/file_process/dummy.pdf b/backend/api/tests/file_process/dummy.pdf deleted file mode 100644 index 8da27b526712..000000000000 Binary files a/backend/api/tests/file_process/dummy.pdf and /dev/null differ diff --git a/backend/api/tests/file_process/test_pdf_process.py b/backend/api/tests/file_process/test_pdf_process.py deleted file mode 100644 index 6c91f5f590f6..000000000000 --- a/backend/api/tests/file_process/test_pdf_process.py +++ /dev/null @@ -1,33 +0,0 @@ -import os -from tempfile import NamedTemporaryFile - -import pytest -from langchain_community.document_loaders import UnstructuredPDFLoader -from quivr_api.models.files import File - - -@pytest.fixture -def pdf_file(): - file_path = "tests/file_process/dummy.pdf" - file_name = os.path.basename(file_path) - with NamedTemporaryFile( - suffix="_" + file_name, # pyright: ignore reportPrivateUsage=none - ) as tmp_file: - with open(file_path, "rb") as f: - content = f.read() - tmp_file.write(content) - tmp_file.flush() - yield File( - file_name="dummy", - tmp_file_path=tmp_file.name, - file_extension="pdf", - bytes_content=content, - file_size=len(content), - ) - - -def test_pdf_process(pdf_file): - pdf_file.compute_documents(UnstructuredPDFLoader) - - assert len(pdf_file.documents) > 0 - assert pdf_file.documents[0].page_content == "Dummy PDF download" diff --git a/backend/api/tests/input/Plan Artemis Sept 2020.pdf b/backend/api/tests/input/Plan Artemis Sept 2020.pdf deleted file mode 100644 index 7882722f3bb9..000000000000 Binary files a/backend/api/tests/input/Plan Artemis Sept 2020.pdf and /dev/null differ diff --git a/backend/api/tests/input/monotype/COMPLETED Contoso Healthcare Pvt Ltd LOF 12 01 2021.pdf b/backend/api/tests/input/monotype/COMPLETED Contoso Healthcare Pvt Ltd LOF 12 01 2021.pdf deleted file mode 100644 index bfa78b6a3259..000000000000 Binary files a/backend/api/tests/input/monotype/COMPLETED Contoso Healthcare Pvt Ltd LOF 12 01 2021.pdf and /dev/null differ diff --git a/backend/api/tests/input/monotype/COMPLETED Contoso Laboratories Other 01 01 2022.pdf b/backend/api/tests/input/monotype/COMPLETED Contoso Laboratories Other 01 01 2022.pdf deleted file mode 100644 index ab6a25fd4229..000000000000 Binary files a/backend/api/tests/input/monotype/COMPLETED Contoso Laboratories Other 01 01 2022.pdf and /dev/null differ diff --git a/backend/api/tests/input/monotype/COMPLETED Contoso Laboratories Other 04 09 2022.pdf b/backend/api/tests/input/monotype/COMPLETED Contoso Laboratories Other 04 09 2022.pdf deleted file mode 100644 index fa6024a29883..000000000000 Binary files a/backend/api/tests/input/monotype/COMPLETED Contoso Laboratories Other 04 09 2022.pdf and /dev/null differ diff --git a/backend/api/tests/input/monotype/COMPLETED Contoso Laboratories Other 12 31 2023.pdf b/backend/api/tests/input/monotype/COMPLETED Contoso Laboratories Other 12 31 2023.pdf deleted file mode 100644 index 886d5a5855f8..000000000000 Binary files a/backend/api/tests/input/monotype/COMPLETED Contoso Laboratories Other 12 31 2023.pdf and /dev/null differ diff --git a/backend/api/tests/input/monotype/COMPLETED Contoso Lyon MT Fonts Enterprise License 08 04 2023.pdf b/backend/api/tests/input/monotype/COMPLETED Contoso Lyon MT Fonts Enterprise License 08 04 2023.pdf deleted file mode 100644 index 6998498009a5..000000000000 Binary files a/backend/api/tests/input/monotype/COMPLETED Contoso Lyon MT Fonts Enterprise License 08 04 2023.pdf and /dev/null differ diff --git a/backend/api/tests/ragas_evaluation/run_evaluation.py b/backend/api/tests/ragas_evaluation/run_evaluation.py deleted file mode 100644 index e9fb45737642..000000000000 --- a/backend/api/tests/ragas_evaluation/run_evaluation.py +++ /dev/null @@ -1,221 +0,0 @@ -import argparse -import os -import sys - -from dotenv import load_dotenv - -# Add the current directory to the Python path -sys.path.append(os.getcwd()) -# Load environment variables from .env file -load_dotenv(verbose=True, override=True, dotenv_path=".env.test") - -import glob -import json -import uuid - -import pandas as pd -import ragas -from datasets import Dataset -from langchain_core.runnables.base import RunnableSerializable -from langchain_openai import ChatOpenAI, OpenAIEmbeddings -from quivr_api.celery_worker import process_file_and_notify -from quivr_api.modules.brain.rags.quivr_rag import QuivrRAG -from quivr_api.modules.brain.service.brain_service import BrainService -from quivr_api.modules.knowledge.dto.inputs import CreateKnowledgeProperties -from quivr_api.modules.knowledge.service.knowledge_service import KnowledgeService -from quivr_api.modules.upload.service.upload_file import upload_file_storage -from ragas import evaluate -from ragas.embeddings.base import LangchainEmbeddingsWrapper - - -def main( - testset_path, input_folder, output_folder, model, context_size, metrics, brain_id -): - # Create a fake user and brain - # Check if a brain ID was provided - if args.brain_id: - brain = brain_service.get_brain(args.brain_id) - if not brain: - print("Invalid brain ID provided.") - sys.exit(1) - else: - # Create a new brain - uuid_value = uuid.uuid4() - brain_service = BrainService() - knowledge_service = KnowledgeService() - brain = brain_service.create_brain(user_id=uuid_value, brain=None) - brain_id = brain.brain_id - - for document_path in glob.glob(input_folder + "/*"): - # Process each document here - process_document(knowledge_service, brain_id, document_path) - - # Load test data - test_data = pd.read_json(testset_path) - - # Create a QuivrRAG chain - knowledge_qa = QuivrRAG( - model=model, - brain_id=str(brain_id), - chat_id=str(uuid.uuid4()), - streaming=False, - max_input=context_size, - max_tokens=1000, - ) - - brain_chain = knowledge_qa.get_chain() - - # run langchain RAG - response_dataset = generate_replies(test_data, brain_chain) - - ragas_metrics = [getattr(ragas.metrics, metric) for metric in metrics] - score = evaluate( - response_dataset, - metrics=ragas_metrics, - llm=ChatOpenAI(model="gpt-4o", temperature=0.1), - embeddings=LangchainEmbeddingsWrapper( - OpenAIEmbeddings(model="text-embedding-3-large", dimensions=1536) - ), - ).to_pandas() - - score.to_json(output_folder + "/score.json", orient="records") - for metric in metrics: - print(f"{metric} mean score: {score[metric].mean()}") - print(f"{metric} median score: {score[metric].median()}") - # Cleanup if a new brain was created - if not args.brain_id: - brain_service.delete_brain(brain_id) - - -def process_document( - knowledge_service: KnowledgeService, brain_id: uuid.UUID, document_path: str -) -> None: - """ - Process a document by uploading it to the file storage, adding knowledge to the knowledge service, - and then processing the file and sending a notification. - - Args: - knowledge_service: The knowledge service object used to add knowledge. - brain_id: The ID of the brain. - document_path: The path of the document to be processed. - - Returns: - None - """ - filename = document_path.split("/")[-1] - filename_with_brain_id = str(brain_id) + "/" + str(filename) - file_in_storage = upload_file_storage(document_path, filename_with_brain_id) - - knowledge_to_add = CreateKnowledgeProperties( - brain_id=brain_id, - file_name=filename, - extension=os.path.splitext(filename)[ # pyright: ignore reportPrivateUsage=none - -1 - ].lower(), - ) - - added_knowledge = knowledge_service.add_knowledge(knowledge_to_add) - print(f"Knowledge {added_knowledge} added successfully") - - process_file_and_notify( - file_name=filename_with_brain_id, - file_original_name=filename, - brain_id=brain_id, - notification_id=None, - ) - - -def generate_replies( - test_data: pd.DataFrame, brain_chain: RunnableSerializable -) -> Dataset: - """ - Generate replies for a given test data using a brain chain. - - Args: - test_data (pandas.DataFrame): The test data containing questions and ground truths. - brain_chain (RunnableSerializable): The brain chain to use for generating replies. - - Returns: - Dataset: A dataset containing the generated replies, including questions, answers, contexts, and ground truths. - """ - answers = [] - contexts = [] - test_questions = test_data.question.tolist() - test_groundtruths = test_data.ground_truth.tolist() - - for question in test_questions: - response = brain_chain.invoke({"question": question, "chat_history": []}) - cited_answer_data = response["answer"].additional_kwargs["tool_calls"][0][ - "function" - ]["arguments"] - cited_answer_obj = json.loads(cited_answer_data) - answers.append(cited_answer_obj["answer"]) - contexts.append([context.page_content for context in response["docs"]]) - - return Dataset.from_dict( - { - "question": test_questions, - "answer": answers, - "contexts": contexts, - "ground_truth": test_groundtruths, - } - ) - - -if __name__ == "__main__": - parser = argparse.ArgumentParser( - description="Run Ragas evaluation on a test dataset" - ) - parser.add_argument( - "--input_folder", - type=str, - required=True, - help="Path to the testset documents folder", - ) - parser.add_argument( - "--output_folder", type=str, default="./", help="Path to the output folder" - ) - parser.add_argument( - "--testset_path", type=str, required=True, help="Path to the testset JSON file" - ) - parser.add_argument("--model", type=str, default="gpt-4o", help="Model to use") - parser.add_argument( - "--context_size", type=int, default=10000, help="Context size for the model" - ) - parser.add_argument( - "--metrics", - type=str, - nargs="+", - choices=[ - "answer_correctness", - "context_relevancy", - "context_precision", - "faithfulness", - "answer_similarity", - ], - default=["answer_similarity"], - help="Metrics to evaluate", - ) - parser.add_argument( - "--brain_id", - type=str, - default=None, - help="ID of an existing brain to use for the evaluation", - ) - args = parser.parse_args() - - main( - args.testset_path, - args.input_folder, - args.output_folder, - args.model, - args.context_size, - args.metrics, - args.brain_id, - ) - - -# Run by doing from the backend folder: -# python3 tests/ragas_evaluation/run_evaluation.py --input_folder ./tests/input --testset_path ./tests/ragas_tests/experiment.json --context_size 1000 -# Make sure to copy the .env file to the backend folder and modify http://host.docker.internal to http://localhost -# in the .env file diff --git a/backend/api/tests/ragas_tests/experiment.json b/backend/api/tests/ragas_tests/experiment.json deleted file mode 100644 index e88932054420..000000000000 --- a/backend/api/tests/ragas_tests/experiment.json +++ /dev/null @@ -1,57 +0,0 @@ -[ - { - "question": "When is the current contract with Contoso ending?", - "evolution_type": "simple", - "ground_truth": "The current contract with Contoso is ending on December 31, 2028." - }, - { - "question": "What's the maximum Production Fonts Contoso have?", - "evolution_type": "simple", - "ground_truth": "Contoso has an unlimited Production Fonts licensed under the Monotype Fonts License Agreement." - }, - { - "question": "How many contracts we have with Contoso?", - "evolution_type": "simple", - "ground_truth": "5" - }, - { - "question": "Have we got any change in number of production fonts by addendum in previous contracts, before the current contract?", - "evolution_type": "simple", - "ground_truth": "Yes, there have been changes in the number of production fonts in previous contracts. For example, in the Addendum No. 1 to the Design and Deploy License Agreement, the Permitted Usage per Term table" - }, - { - "question": "What's the number of production fonts for previous contract before current contract with Contoso?", - "evolution_type": "simple", - "ground_truth": "The number of production fonts for the contract with Contoso that preceded the current contract was 140." - }, - { - "question": "What will be the next renewal date for Contoso?", - "evolution_type": "simple", - "ground_truth": "The next renewal date for Contoso will be December 31, 2028," - }, - { - "question": "How many Software License Order Form contract we ever had with Contoso?", - "evolution_type": "simple", - "ground_truth": "1" - }, - { - "question": "What's the Number of Licensed Mobile Applications in different contract with Contoso?", - "evolution_type": "simple", - "ground_truth": "1" - }, - { - "question": "Is Single Sign-On Option available in the latest contract with Contoso?", - "evolution_type": "simple", - "ground_truth": "Yes, the Single Sign-On Option is available in the latest contract with Contoso." - }, - { - "question": "What's the Licensed Page Views in the latest contract with Contoso?", - "evolution_type": "simple", - "ground_truth": "The latest contract with Contoso specifies that the Licensed Page Views are unlimited" - }, - { - "question": "What's the Licensed Impressions (Digital Marketing Communications) in the latest contract with Contoso?", - "evolution_type": "simple", - "ground_truth": "The Licensed Impressions (Digital Marketing Communications) in the latest contract with Contoso is Unlimited." - } -] \ No newline at end of file diff --git a/backend/api/tests/test_brains.py b/backend/api/tests/test_brains.py deleted file mode 100644 index fb0f23ffb76b..000000000000 --- a/backend/api/tests/test_brains.py +++ /dev/null @@ -1,131 +0,0 @@ -import pytest -from pydantic import ValidationError -from quivr_api.modules.brain.dto.inputs import ( - BrainIntegrationSettings, - CreateBrainProperties, -) -from quivr_api.modules.brain.entity.brain_entity import BrainEntity, BrainType -from quivr_api.modules.brain.service.brain_service import BrainService - - -@pytest.fixture -def brain_service(): - # Setup for brain service, if any - service = BrainService() - yield service - # No teardown here, it will be handled in the test function - - -@pytest.fixture -def user_id(): - return "39418e3b-0258-4452-af60-7acfcc1263ff" - - -@pytest.fixture -def integration_id(): - return "b37a2275-61b3-460b-b4ab-94dfdf3642fb" - - -def test_create_brain_with_user_id(brain_service, user_id, integration_id): - brain_id = None # Initialize brain_id to None - try: - # Arrange - brain_data = CreateBrainProperties( - name="Innovative Brain", - description="A brain representing innovative ideas", - # Add other necessary fields and values - brain_type=BrainType.doc, - integration=BrainIntegrationSettings( - integration_id=integration_id, - settings={}, - ), - ) - - # Act - created_brain = brain_service.create_brain(user_id, brain_data) - - # Store the brain_id for teardown - brain_id = created_brain.brain_id - - # Assert - assert isinstance(created_brain, BrainEntity) - assert created_brain.name == brain_data.name - assert created_brain.description == brain_data.description - finally: - # Teardown step: delete the brain if it was created - if brain_id: - brain_service.delete_brain(brain_id) - - -def test_create_brain_with_invalid_user_id(brain_service): - invalid_user_id = "invalid-uuid" - brain_data = CreateBrainProperties( - name="Brain with Invalid User ID", - description="Should fail due to invalid user ID", - brain_type="integration", - integration=BrainIntegrationSettings( - integration_id="valid-integration-id", - settings={}, - ), - ) - - with pytest.raises(Exception): - brain_service.create_brain(invalid_user_id, brain_data) - - -# Generate a test that checks CreateBrainProperties with invalid data -def test_create_brain_with_invalid_brain_type(brain_service): - with pytest.raises(ValidationError): - invalid_brain_data = CreateBrainProperties( - name="Invalid Brain", - description="Should fail due to invalid data", - brain_type="invalid-brain-type", # type: ignore - integration=BrainIntegrationSettings( - integration_id="valid-integration-id", - settings={}, - ), - ) - - -# Test for valid brain type 'integration' -def test_create_brain_with_valid_brain_type_integration( - brain_service, user_id, integration_id -): - brain_id = None - try: - valid_brain_data = CreateBrainProperties( - name="Valid Integration Brain", - description="Should succeed with valid integration brain type", - brain_type="integration", - integration=BrainIntegrationSettings( - integration_id=integration_id, - settings={}, - ), - ) - - created_brain = brain_service.create_brain(user_id, valid_brain_data) - - brain_id = created_brain.brain_id - # Assert - assert created_brain.brain_type == BrainType.integration - finally: - # Teardown step: delete the brain if it was created - if brain_id: - brain_service.delete_brain(brain_id) - - -# Test for valid brain type 'doc' -def test_create_brain_with_valid_brain_type_doc(brain_service, user_id): - brain_id = None - try: - valid_brain_data = CreateBrainProperties( - name="Valid Doc Brain", - description="Should succeed with valid doc brain type", - brain_type="doc", - ) - created_brain = brain_service.create_brain(user_id, valid_brain_data) - assert created_brain.brain_type == BrainType.doc - finally: - # Teardown step: delete the brain if it was created - if brain_id: - brain_service.delete_brain(brain_id) diff --git a/backend/api/tests/test_misc.py b/backend/api/tests/test_misc.py deleted file mode 100644 index 9ce8497b03d3..000000000000 --- a/backend/api/tests/test_misc.py +++ /dev/null @@ -1,10 +0,0 @@ -# def test_heatlhz(client): -# response = client.get("/healthz") -# assert response.status_code == 200 -# assert response.json() == {"status": "ok"} - - -# def test_heatlhz_home(client): -# response = client.get("/") -# assert response.status_code == 200 -# assert response.json() == {"status": "OK"} diff --git a/backend/core/.gitignore b/backend/core/.gitignore new file mode 100644 index 000000000000..ae8554dec420 --- /dev/null +++ b/backend/core/.gitignore @@ -0,0 +1,10 @@ +# python generated files +__pycache__/ +*.py[oc] +build/ +dist/ +wheels/ +*.egg-info + +# venv +.venv diff --git a/backend/core/.python-version b/backend/core/.python-version new file mode 100644 index 000000000000..2419ad5b0a32 --- /dev/null +++ b/backend/core/.python-version @@ -0,0 +1 @@ +3.11.9 diff --git a/backend/core/README.md b/backend/core/README.md index f46061ac3ffe..d3a90c0fd7e5 100644 --- a/backend/core/README.md +++ b/backend/core/README.md @@ -2,10 +2,38 @@ The RAG of Quivr.com +## Contributors + +### Requirements + +0. Install [poetry](https://python-poetry.org/docs/). Recommand the `pipx` install +1. (Optional) Install (`uv`)[https://github.com/astral-sh/uv] +2. git clone `quivr` + ``` -poetry install -E base +git clone git@github.com:QuivrHQ/quivr.git +cd quivr/backend/core ``` -``` -python examples/simple_question.py -``` \ No newline at end of file +2. Create virtual environement with your preferred tool + + ``` + uv venv + ``` + +3. Install `base` quivr-core environment + + ``` + poetry install -E base --with dev,test + ``` + +4. Install pre-commit + + ``` + pre-commit install + ``` + +5. Run example + ``` + python examples/simple_question.py + ``` diff --git a/backend/core/examples/chatbot/.gitignore b/backend/core/examples/chatbot/.gitignore new file mode 100644 index 000000000000..ae8554dec420 --- /dev/null +++ b/backend/core/examples/chatbot/.gitignore @@ -0,0 +1,10 @@ +# python generated files +__pycache__/ +*.py[oc] +build/ +dist/ +wheels/ +*.egg-info + +# venv +.venv diff --git a/backend/core/examples/chatbot/pyproject.toml b/backend/core/examples/chatbot/pyproject.toml new file mode 100644 index 000000000000..9bab73eda3fa --- /dev/null +++ b/backend/core/examples/chatbot/pyproject.toml @@ -0,0 +1,27 @@ +[project] +name = "chatbot" +version = "0.1.0" +description = "Add your description here" +authors = [ + { name = "Stan Girard", email = "stan@quivr.app" } +] +dependencies = [ + "chainlit>=1.1.402", + "quivr-core @ file:///home/stan/Dev/quivr/backend/core", +] +readme = "README.md" +requires-python = ">= 3.11" + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.rye] +managed = true +dev-dependencies = [] + +[tool.hatch.metadata] +allow-direct-references = true + +[tool.hatch.build.targets.wheel] +packages = ["src/chatbot"] diff --git a/backend/core/examples/chatbot/requirements-dev.lock b/backend/core/examples/chatbot/requirements-dev.lock new file mode 100644 index 000000000000..14497768224b --- /dev/null +++ b/backend/core/examples/chatbot/requirements-dev.lock @@ -0,0 +1,171 @@ +# generated by rye +# use `rye lock` or `rye sync` to update this lockfile +# +# last locked with the following flags: +# pre: false +# features: [] +# all-features: false +# with-sources: false +# generate-hashes: false +# universal: false + +-e file:. +aiofiles==23.2.1 + # via chainlit +annotated-types==0.7.0 + # via pydantic +anyio==3.7.1 + # via asyncer + # via httpx + # via starlette + # via watchfiles +asyncer==0.0.2 + # via chainlit +bidict==0.23.1 + # via python-socketio +certifi==2024.7.4 + # via httpcore + # via httpx + # via requests +chainlit==1.1.402 + # via chatbot +charset-normalizer==3.3.2 + # via requests +chevron==0.14.0 + # via literalai +click==8.1.7 + # via chainlit + # via uvicorn +dataclasses-json==0.5.14 + # via chainlit +deprecated==1.2.14 + # via opentelemetry-api + # via opentelemetry-exporter-otlp-proto-grpc + # via opentelemetry-exporter-otlp-proto-http + # via opentelemetry-semantic-conventions +fastapi==0.110.3 + # via chainlit +filetype==1.2.0 + # via chainlit +googleapis-common-protos==1.63.2 + # via opentelemetry-exporter-otlp-proto-grpc + # via opentelemetry-exporter-otlp-proto-http +grpcio==1.65.5 + # via opentelemetry-exporter-otlp-proto-grpc +h11==0.14.0 + # via httpcore + # via uvicorn + # via wsproto +httpcore==1.0.5 + # via httpx +httpx==0.27.0 + # via chainlit + # via literalai +idna==3.7 + # via anyio + # via httpx + # via requests +importlib-metadata==8.0.0 + # via opentelemetry-api +lazify==0.4.0 + # via chainlit +literalai==0.0.607 + # via chainlit +marshmallow==3.22.0 + # via dataclasses-json +mypy-extensions==1.0.0 + # via typing-inspect +nest-asyncio==1.6.0 + # via chainlit +numpy==1.26.4 + # via chainlit +opentelemetry-api==1.26.0 + # via opentelemetry-exporter-otlp-proto-grpc + # via opentelemetry-exporter-otlp-proto-http + # via opentelemetry-instrumentation + # via opentelemetry-sdk + # via opentelemetry-semantic-conventions + # via uptrace +opentelemetry-exporter-otlp==1.26.0 + # via uptrace +opentelemetry-exporter-otlp-proto-common==1.26.0 + # via opentelemetry-exporter-otlp-proto-grpc + # via opentelemetry-exporter-otlp-proto-http +opentelemetry-exporter-otlp-proto-grpc==1.26.0 + # via opentelemetry-exporter-otlp +opentelemetry-exporter-otlp-proto-http==1.26.0 + # via opentelemetry-exporter-otlp +opentelemetry-instrumentation==0.47b0 + # via uptrace +opentelemetry-proto==1.26.0 + # via opentelemetry-exporter-otlp-proto-common + # via opentelemetry-exporter-otlp-proto-grpc + # via opentelemetry-exporter-otlp-proto-http +opentelemetry-sdk==1.26.0 + # via opentelemetry-exporter-otlp-proto-grpc + # via opentelemetry-exporter-otlp-proto-http + # via uptrace +opentelemetry-semantic-conventions==0.47b0 + # via opentelemetry-sdk +packaging==23.2 + # via chainlit + # via literalai + # via marshmallow +protobuf==4.25.4 + # via googleapis-common-protos + # via opentelemetry-proto +pydantic==2.8.2 + # via chainlit + # via fastapi + # via literalai +pydantic-core==2.20.1 + # via pydantic +pyjwt==2.9.0 + # via chainlit +python-dotenv==1.0.1 + # via chainlit +python-engineio==4.9.1 + # via python-socketio +python-multipart==0.0.9 + # via chainlit +python-socketio==5.11.3 + # via chainlit +requests==2.32.3 + # via opentelemetry-exporter-otlp-proto-http +setuptools==73.0.1 + # via opentelemetry-instrumentation +simple-websocket==1.0.0 + # via python-engineio +sniffio==1.3.1 + # via anyio + # via httpx +starlette==0.37.2 + # via chainlit + # via fastapi +syncer==2.0.3 + # via chainlit +tomli==2.0.1 + # via chainlit 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opentelemetry-exporter-otlp +opentelemetry-instrumentation==0.47b0 + # via uptrace +opentelemetry-proto==1.26.0 + # via opentelemetry-exporter-otlp-proto-common + # via opentelemetry-exporter-otlp-proto-grpc + # via opentelemetry-exporter-otlp-proto-http +opentelemetry-sdk==1.26.0 + # via opentelemetry-exporter-otlp-proto-grpc + # via opentelemetry-exporter-otlp-proto-http + # via uptrace +opentelemetry-semantic-conventions==0.47b0 + # via opentelemetry-sdk +packaging==23.2 + # via chainlit + # via literalai + # via marshmallow +protobuf==4.25.4 + # via googleapis-common-protos + # via opentelemetry-proto +pydantic==2.8.2 + # via chainlit + # via fastapi + # via literalai +pydantic-core==2.20.1 + # via pydantic +pyjwt==2.9.0 + # via chainlit +python-dotenv==1.0.1 + # via chainlit +python-engineio==4.9.1 + # via python-socketio +python-multipart==0.0.9 + # via chainlit +python-socketio==5.11.3 + # via chainlit +requests==2.32.3 + # via opentelemetry-exporter-otlp-proto-http 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"langchain-openai", "megaparse", "unstructured"] -base = ["faiss-cpu", "langchain-community", "langchain-openai"] -csv = ["langchain-community"] -docx = ["docx2txt", "langchain-community", "unstructured"] -epub = ["langchain-community", "unstructured"] -ipynb = ["langchain-community"] -md = ["langchain-community"] -odt = ["docx2txt", "langchain-community", "unstructured"] -pdf = ["langchain-community", "megaparse"] -pptx = ["langchain-community", "unstructured"] -xlsx = ["langchain-community", "unstructured"] - -[metadata] -lock-version = "2.0" -python-versions = "^3.11,<3.13" -content-hash = "d5a65be57dcbc3d4e1acbd39f0e828daec09dba28b8ec975b80827ae84174941" diff --git a/backend/core/pyproject.toml b/backend/core/pyproject.toml index 199c6b32e464..7bbbb49bf969 100644 --- a/backend/core/pyproject.toml +++ b/backend/core/pyproject.toml @@ -1,136 +1,56 @@ -[tool.poetry] +[project] name = "quivr-core" version = "0.0.13" description = "Quivr core RAG package" -authors = [] -readme = "README.md" -repository = "https://github.com/QuivrHQ/quivr" - -[tool.poetry.dependencies] -python = "^3.11,<3.13" -pydantic = "^2.7.4" -langchain-core = "^0.2.10" -langchain = "^0.2.9" -httpx = "^0.27.0" -rich = "^13.7.1" -tiktoken = "^0.7.0" -aiofiles = ">=23.0.0,<25.0.0" -faiss-cpu = { version = "^1.8.0.post1", optional = true } -langchain-community = { version = "^0.2.6", optional = true } -langchain-openai = { version = "^0.1.14", optional = true } -# To install unstructured, you’ll also need to install the following system dependencies: -# libmagic, poppler, libreoffice, pandoc, and tesseract. -# NOTE: for now poetry doesn't support groups as extra: -# see : https://github.com/pythofeat: async load n-poetry/poetry/issues/4842 - -torch = [ - { version = "2.3.1", source = "pypi", platform = "darwin", optional = true }, - { version = "2.3.1", source = "pypi", platform = "linux", markers = "platform_machine != 'x86_64'", optional = true }, - { version = "2.3.1+cpu", source = "pytorch-cpu-src", platform = "linux", markers = "platform_machine == 'x86_64'", optional = true }, - { version = "2.3.1+cpu", source = "pytorch-cpu-src", platform = "win32", optional = true }, +authors = [ + { name = "Stan Girard", email = "stan@quivr.app" } ] -torchvision = [ - { version = "0.18.1", source = "pypi", platform = "darwin", optional = true }, - { version = "0.18.1", source = "pypi", platform = "linux", markers = "platform_machine != 'x86_64'", optional = true }, - { version = "0.18.1+cpu", source = "pytorch-cpu-src", platform = "linux", markers = "platform_machine == 'x86_64'", optional = true }, - { version = "0.18.1+cpu", source = "pytorch-cpu-src", platform = "win32", optional = true }, +dependencies = [ + "pydantic>=2.8.2", + "langchain-core>=0.2.32", + "langchain>=0.2.14", + "httpx>=0.27.0", + "rich>=13.7.1", + "tiktoken>=0.7.0", + "aiofiles>=23.1.0", + "langchain-community>=0.2.12" ] -megaparse = { version = "0.0.24", optional = true, source = "pypi" } - -docx2txt = { version = "^0.8", optional = true } -unstructured = { version = "^0.15.0", optional = true, extras = [ - "epub", - "odt", - "docx", - "doc", - "pptx", - "ppt", - "xlsx", -] } +readme = "README.md" +requires-python = ">= 3.11" -[tool.poetry.extras] -base = ["langchain-community", "faiss-cpu", "langchain-openai"] -csv = ["langchain-community"] -md = ["langchain-community"] -ipynb = ["langchain-community"] -epub = ["unstructured", "langchain-community"] -odt = ["unstructured", "langchain-community", "docx2txt"] -docx = ["unstructured", "langchain-community", "docx2txt"] -pptx = ["unstructured", "langchain-community"] -xlsx = ["unstructured", "langchain-community"] -pdf = ["langchain-community", "megaparse"] +[project.optional-dependencies] all = [ - "langchain-community", - "faiss-cpu", - "langchain-openai", - "unstructured", - "docx2txt", - "megaparse", + "unstructured[epub,docx,odt,doc,pptx,ppt,xlsx,md]>=0.15.5", + "faiss-cpu>=1.8.0.post1", + "docx2txt>=0.8", + "megaparse>=0.0.29", ] -[tool.poetry.group.dev] -optional = true - -[tool.poetry.group.dev.dependencies] -mypy = "^1.10.0" -pre-commit = "^3.7.1" -ipykernel = "*" -ruff = "^0.4.8" -flake8 = "*" -flake8-black = "*" - -[tool.poetry.group.test] -optional = true - -[tool.poetry.group.test.dependencies] -pytest-asyncio = "^0.23.7" -pytest = "^8.2.2" -pytest-xdist = "^3.6.1" -pytest-cov = "^5.0.0" -tox = "^4.16.0" - - -[tool.mypy] -disallow_untyped_defs = true -# Remove venv skip when integrated with pre-commit -exclude = ["_static", "build", "examples", "notebooks", "venv", ".venv"] -ignore_missing_imports = true -python_version = "3.11" - -[tool.ruff] -line-length = 88 -exclude = [".git", "__pycache__", ".mypy_cache", ".pytest_cache"] - -[tool.ruff.lint] -select = [ - "E", # pycodestyle errors - "W", # pycodestyle warnings - "F", # pyflakes - "I", # isort - "C", # flake8-comprehensions - "B", # flake8-bugbear -] -ignore = [ - "B904", - "B006", - "E501", # line too long, handled by black - "B008", # do not perform function calls in argument defaults - "C901", # too complex +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.rye] +managed = true +dev-dependencies = [ + "mypy>=1.11.1", + "pre-commit>=3.8.0", + "ipykernel>=6.29.5", + "ruff>=0.6.1", + "flake8>=7.1.1", + "flake8-black>=0.3.6", + "pytest-asyncio>=0.23.8", + "pytest>=8.3.2", + "pytest-xdist>=3.6.1", + "tox>=4.18.0", + "pytest-benchmark>=4.0.0", ] +[tool.hatch.metadata] +allow-direct-references = true -[tool.ruff.lint.isort] -order-by-type = true -relative-imports-order = "closest-to-furthest" -extra-standard-library = ["typing"] -section-order = [ - "future", - "standard-library", - "third-party", - "first-party", - "local-folder", -] -known-first-party = [] +[tool.hatch.build.targets.wheel] +packages = ["quivr_core"] [tool.pytest.ini_options] addopts = "--tb=short -ra -v" @@ -141,12 +61,3 @@ markers = [ "tika: these tests require a tika server to be running", "unstructured: these tests require `unstructured` dependency", ] - -[build-system] -requires = ["poetry-core"] -build-backend = "poetry.core.masonry.api" - -[[tool.poetry.source]] -name = "pytorch-cpu-src" -url = "https://download.pytorch.org/whl/cpu" -priority = "explicit" diff --git a/backend/core/quivr_core/files/file.py b/backend/core/quivr_core/files/file.py index 6cc42d5d7895..fd9d5935aa99 100644 --- a/backend/core/quivr_core/files/file.py +++ b/backend/core/quivr_core/files/file.py @@ -29,6 +29,13 @@ class FileExtension(str, Enum): odt = ".odt" py = ".py" ipynb = ".ipynb" + m4a = ".m4a" + mp3 = ".mp3" + webm = ".webm" + mp4 = ".mp4" + mpga = ".mpga" + wav = ".wav" + mpeg = ".mpeg" def get_file_extension(file_path: Path) -> FileExtension | str: @@ -57,7 +64,7 @@ async def load_qfile(brain_id: UUID, path: str | Path): file_size = os.stat(path).st_size async with aiofiles.open(path, mode="rb") as f: - file_md5 = hashlib.md5(await f.read()).hexdigest() + file_sha1 = hashlib.sha1(await f.read()).hexdigest() try: # NOTE: when loading from existing storage, file name will be uuid @@ -72,7 +79,7 @@ async def load_qfile(brain_id: UUID, path: str | Path): original_filename=path.name, file_extension=get_file_extension(path), file_size=file_size, - file_md5=file_md5, + file_sha1=file_sha1, ) @@ -84,7 +91,8 @@ class QuivrFile: "original_filename", "file_size", "file_extension", - "file_md5", + "file_sha1", + "additional_metadata", ] def __init__( @@ -93,9 +101,10 @@ def __init__( original_filename: str, path: Path, brain_id: UUID, - file_md5: str, + file_sha1: str, file_extension: FileExtension | str, file_size: int | None = None, + metadata: dict[str, Any] | None = None, ) -> None: self.id = id self.brain_id = brain_id @@ -103,7 +112,8 @@ def __init__( self.original_filename = original_filename self.file_size = file_size self.file_extension = file_extension - self.file_md5 = file_md5 + self.file_sha1 = file_sha1 + self.additional_metadata = metadata if metadata else {} def __repr__(self) -> str: return f"QuivrFile-{self.id} original_filename:{self.original_filename}" @@ -123,6 +133,7 @@ def metadata(self) -> dict[str, Any]: "qfile_id": self.id, "qfile_path": self.path, "original_file_name": self.original_filename, - "file_md4": self.file_md5, + "file_sha1": self.file_sha1, "file_size": self.file_size, + **self.additional_metadata, } diff --git a/backend/core/quivr_core/models.py b/backend/core/quivr_core/models.py index 508e5f1e2d3d..3aed4618a8f3 100644 --- a/backend/core/quivr_core/models.py +++ b/backend/core/quivr_core/models.py @@ -1,5 +1,6 @@ from datetime import datetime -from typing import Any +from enum import Enum +from typing import Any, Dict, Optional from uuid import UUID from langchain_core.documents import Document @@ -36,6 +37,10 @@ class ChatMessage(BaseModelV1): message_time: datetime metadata: dict[str, Any] +class KnowledgeStatus(str, Enum): + PROCESSING = "PROCESSING" + UPLOADED = "UPLOADED" + ERROR = "ERROR" class Source(BaseModel): name: str @@ -85,12 +90,17 @@ class ParsedRAGChunkResponse(BaseModel): class QuivrKnowledge(BaseModel): id: UUID brain_id: UUID - file_name: str | None = None - url: str | None = None - extension: str = "txt" - status: str = "PROCESSING" - integration: str | None = None - integration_link: str | None = None + file_name: Optional[str] = None + url: Optional[str] = None + mime_type: str = "txt" + status: KnowledgeStatus = KnowledgeStatus.PROCESSING + source: Optional[str] = None + source_link: str | None = None + file_size: int | None = None # FIXME: Should not be optional @chloedia + file_sha1: Optional[str] = None # FIXME: Should not be optional @chloedia + updated_at: Optional[datetime] = None + created_at: Optional[datetime] = None + metadata: Optional[Dict[str, str]] = None # NOTE: for compatibility issues with langchain <-> PydanticV1 diff --git a/backend/core/quivr_core/processor/implementations/default.py b/backend/core/quivr_core/processor/implementations/default.py index 678b0f9429cc..6ea17455f58b 100644 --- a/backend/core/quivr_core/processor/implementations/default.py +++ b/backend/core/quivr_core/processor/implementations/default.py @@ -77,7 +77,7 @@ def processor_metadata(self) -> dict[str, Any]: async def process_file_inner(self, file: QuivrFile) -> list[Document]: if hasattr(self.loader_cls, "__init__"): # NOTE: mypy can't correctly type this as BaseLoader doesn't have a constructor method - loader = self.loader_cls(file_path=file.path, **self.loader_kwargs) # type: ignore + loader = self.loader_cls(file_path=str(file.path), **self.loader_kwargs) # type: ignore else: loader = self.loader_cls() diff --git a/backend/core/quivr_core/processor/processor_base.py b/backend/core/quivr_core/processor/processor_base.py index 25da26a5796a..1b8cbbe39423 100644 --- a/backend/core/quivr_core/processor/processor_base.py +++ b/backend/core/quivr_core/processor/processor_base.py @@ -1,3 +1,4 @@ +import logging from abc import ABC, abstractmethod from importlib.metadata import PackageNotFoundError, version from typing import Any @@ -7,6 +8,8 @@ from quivr_core.files.file import FileExtension, QuivrFile +logger = logging.getLogger("quivr_core") + # TODO: processors should be cached somewhere ? # The processor should be cached by processor type @@ -24,6 +27,7 @@ def processor_metadata(self) -> dict[str, Any]: raise NotImplementedError async def process_file(self, file: QuivrFile) -> list[Document]: + logger.debug(f"Processing file {file}") self.check_supported(file) docs = await self.process_file_inner(file) try: @@ -31,7 +35,13 @@ async def process_file(self, file: QuivrFile) -> list[Document]: except PackageNotFoundError: qvr_version = "dev" - for idx, doc in enumerate(docs): + for idx, doc in enumerate(docs, start=1): + if "original_file_name" in doc.metadata: + doc.page_content = f"Filename: {doc.metadata['original_file_name']} Content: {doc.page_content}" + doc.page_content = doc.page_content.replace("\u0000", "") + doc.page_content = doc.page_content.encode("utf-8", "replace").decode( + "utf-8" + ) doc.metadata = { "id": uuid4(), "chunk_index": idx, diff --git a/backend/core/quivr_core/storage/file.py b/backend/core/quivr_core/storage/file.py index 1e526fd25810..9f9e23b4d840 100644 --- a/backend/core/quivr_core/storage/file.py +++ b/backend/core/quivr_core/storage/file.py @@ -43,7 +43,7 @@ async def load_qfile(brain_id: UUID, path: str | Path): file_size = os.stat(path).st_size async with aiofiles.open(path, mode="rb") as f: - file_md5 = hashlib.md5(await f.read()).hexdigest() + file_sha1 = hashlib.sha1(await f.read()).hexdigest() try: # NOTE: when loading from existing storage, file name will be uuid @@ -58,7 +58,7 @@ async def load_qfile(brain_id: UUID, path: str | Path): original_filename=path.name, file_extension=get_file_extension(path), file_size=file_size, - file_md5=file_md5, + file_sha1=file_sha1, ) @@ -70,7 +70,7 @@ class QuivrFile: "original_filename", "file_size", "file_extension", - "file_md5", + "file_sha1", ] def __init__( @@ -79,7 +79,7 @@ def __init__( original_filename: str, path: Path, brain_id: UUID, - file_md5: str, + file_sha1: str, file_extension: FileExtension | str, file_size: int | None = None, ) -> None: @@ -89,7 +89,7 @@ def __init__( self.original_filename = original_filename self.file_size = file_size self.file_extension = file_extension - self.file_md5 = file_md5 + self.file_sha1 = file_sha1 @asynccontextmanager async def open(self) -> AsyncGenerator[AsyncIterable[bytes], None]: @@ -106,6 +106,6 @@ def metadata(self) -> dict[str, Any]: "qfile_id": self.id, "qfile_path": self.path, "original_file_name": self.original_filename, - "file_md4": self.file_md5, + "file_md4": self.file_sha1, "file_size": self.file_size, } diff --git a/backend/core/quivr_core/storage/local_storage.py b/backend/core/quivr_core/storage/local_storage.py index c7ebe8d52c64..51d41f129601 100644 --- a/backend/core/quivr_core/storage/local_storage.py +++ b/backend/core/quivr_core/storage/local_storage.py @@ -39,7 +39,7 @@ async def upload_file(self, file: QuivrFile, exists_ok: bool = False) -> None: self.dir_path, str(file.brain_id), f"{file.id}{file.file_extension}" ) - if file.file_md5 in self.hashes and not exists_ok: + if file.file_sha1 in self.hashes and not exists_ok: raise FileExistsError(f"file {file.original_filename} already uploaded") if self.copy_flag: @@ -49,7 +49,7 @@ async def upload_file(self, file: QuivrFile, exists_ok: bool = False) -> None: file.path = Path(dst_path) self.files.append(file) - self.hashes.add(file.file_md5) + self.hashes.add(file.file_sha1) async def get_files(self) -> list[QuivrFile]: return self.files diff --git a/backend/core/tests/conftest.py b/backend/core/tests/conftest.py index b362762b4dcd..4563e3160b3b 100644 --- a/backend/core/tests/conftest.py +++ b/backend/core/tests/conftest.py @@ -31,7 +31,7 @@ def quivr_txt(temp_data_file): original_filename=temp_data_file.name, path=temp_data_file, file_extension=FileExtension.txt, - file_md5="123", + file_sha1="123", ) @@ -43,7 +43,7 @@ def quivr_pdf(): original_filename="dummy.pdf", path=Path("./tests/processor/data/dummy.pdf"), file_extension=FileExtension.pdf, - file_md5="13bh234jh234", + file_sha1="13bh234jh234", ) diff --git a/backend/core/tests/processor/community/markdown_processor.py b/backend/core/tests/processor/community/markdown_processor.py deleted file mode 100644 index e69de29bb2d1..000000000000 diff --git a/backend/core/tests/processor/community/test_markdown_processor.py b/backend/core/tests/processor/community/test_markdown_processor.py new file mode 100644 index 000000000000..063b07c0fc7b --- /dev/null +++ b/backend/core/tests/processor/community/test_markdown_processor.py @@ -0,0 +1,32 @@ +from pathlib import Path +from uuid import uuid4 + +import pytest + +from quivr_core.files.file import FileExtension, QuivrFile +from quivr_core.processor.implementations.default import MarkdownProcessor + + +@pytest.mark.unstructured +@pytest.mark.asyncio +async def test_markdown_processor(): + p = Path("./tests/processor/data/guidelines_code.md") + f = QuivrFile( + id=uuid4(), + brain_id=uuid4(), + original_filename=p.stem, + path=p, + file_extension=FileExtension.md, + file_sha1="123", + ) + processor = MarkdownProcessor() + result = await processor.process_file(f) + assert len(result) > 0 + + +@pytest.mark.unstructured +@pytest.mark.asyncio +async def test_markdown_processor_fail(quivr_txt): + processor = MarkdownProcessor() + with pytest.raises(ValueError): + await processor.process_file(quivr_txt) diff --git a/backend/core/tests/processor/data/guidelines_code.md b/backend/core/tests/processor/data/guidelines_code.md new file mode 100644 index 000000000000..6610a44785a8 --- /dev/null +++ b/backend/core/tests/processor/data/guidelines_code.md @@ -0,0 +1,132 @@ +# Backend code guidelines + +## **Code Structure and Organization** + +- Follow a clear project structure : + - In quivr-api we have modules divided into : controller, entity, services, repositories, utils) +- **Use dependency injection for better testability and modularity** 🔺 +- Use environment variables for configuration 🔺 + - We use Pydantic settings for parsing the arguments +- Don’t add unnecessary abstractions → **KISS principle.** + - Premature abstractions are a bad pattern +- Avoid using Global Scoped Objects 🔺🔺🔺 +- Understand the implications of using the following syntax: 🔺🔺🔺 + - Context manager : + - Wrapper functions and High order Function + - Generator / AsyncGenerators + - ThreadPools and ProcessPool + - Asynchronous code +- Don’t replicate object that are Standalone/Singleton or with heavy dependencies. All python objects are references. Use the references: 🔺🔺🔺 + - **Example**: Recreating a `BrainService` inside a function is an antipattern. This function should take `service : BrainService` as a parameter ( also easily testable via dependency injection) + - **Example**: Recreating a class that connects to a `APIService` is an antipattern. Connection creation is pretty costly process. You should the a **single object** and pass it accross function calls +- Error handling: + - Use specific exception types rather than catching all exceptions. The caller can then `try .. except CustomException` + - Create custom exception classes for **application-specific errors.** + - Add logs when Errors are catched for better debugging + + ```python + try: + result = perform_operation() + except OperationError as e: + log.error(f"Operation failed: {str(e)}") + return error_response() + ``` + + - Consider using **assertion statements ! IMHO this is really important** 🔺. Checkout : https://github.com/tigerbeetle/tigerbeetle/blob/main/docs/TIGER_STYLE.md#safety + +**(Advanced):** + +- Try encoding business pattern in Type ( known as Typestate pattern): + - For example if a File can either be in Open or Close state → use two Types OpenFile and CloseFile with separate behaviour to avoid calling methods on a closed file. +- May need to consider adding route level exception handling to FastAPI + +## **Database and ORM** + +- Use SQLModel for all database operations: + - SQlmodel docs : [https://sqlmodel.tiangolo.com/](https://sqlmodel.tiangolo.com/) + - Use **eager** or **lazy** relationship for modeling 1-many and many-many relationships depending on join cost + - Be aware of async session and lazy attributes +- Use async as much as possible +- Think about access patterns in your code : 🔺🔺🔺 + - Reduce n+1 calls : If we can get the information with a single query, we do it in a single query + + > **Always ask if this chunk of call can be done via a single SQL query !** + > + - Batch writes to the database. If we Insert N times in a loop → 1 insert many ! + - Write database queries with proper indexing in mind. + - Example : Do we need to filter results ? If yes then add a WHERE clause … + - Do we frequently filter on some attribute → Add index. + - Think about which index :BTreeIndex when ordered access, HashIndex where data is really dissimilar and we need extremely fast access … + - Think about Joins. If we do 2 queries to get the data then maybe we can do it in one : + - For example User/UserSettings/UserUsage. We can get all of this info eagerly when accessing user. + + > DB side fetching is FAST ! Network is slow ! + > +- Think about atomic guarantees and transactions in the whole workflow + - Example : deleting a knowledge and its vectors should be atomic + +## **API and External Services** + +- When sending requests to external services (APIs), always include: + - Defined timeouts + - Backoff policy + - Retry mechanism + - Conversion of HTTP errors to business-level exceptions +- Use a circuit breaker pattern for frequently called external services +- Implement proper **error handling and logging** + +## **HTTP and Routing** + +- Keep HTTP logic confined to the routes layer +- Raise HTTP errors only through FastAPI +- Use appropriate HTTP status codes consistently with +- Implement request validation at the API entry point + +## **Performance** + +- Use caching mechanisms where appropriate (e.g., Redis) +- Implement pagination for list endpoints +- Use asynchronous programming where beneficial + - Keep in mind that python is single threaded ! +- Avoid unnecessary serialization/deserialization +- Optimize database queries and use indexing effectively +- For performance critical code : + - Use libraries that are True wrappers (ie don’t call subprocess) + - Use libraries that release the GIL + - Use Threadpools and ProcessPool when possible + - Be aware of libraries spawning their own threadpool !!!! +- Understand underlying systems : networks, disk access, operating system syscalls + +## **Testing** + +- Write unit tests for all business logic. The code should be written with dependency injection in mind ! +- Write unit test for repositories: + - Use the rollback session fixture ( see ChatHistory tests) + - Test with different configurations of Brain types, User settings, … → Use parametrized test for this +- Implement integration tests for API endpoints + - FastAPI testclient : https://fastapi.tiangolo.com/tutorial/testing/ +- Use mocking for external services in tests. + +## **Logging and Monitoring** + +- Implement structured logging +- *TODO: define where and how* + +## **Security** + +- Implement input validation and sanitization +- Use parameterized queries to prevent SQL injection +- Implement rate limiting for API endpoints +- Regularly update dependencies and address security vulnerabilities + +## **Documentation** + +- Maintain a README with setup and run instructions +- Document all non-obvious code sections + +## **Version Control and CI/CD** + +- Use feature branches and pull requests +- Keep a changelog for version control +- Implement automated CI/CD pipelines +- **Perform code reviews for all changes** diff --git a/backend/core/tests/processor/docx/test_docx.py b/backend/core/tests/processor/docx/test_docx.py index 7cee94c783b4..ecbbeef7e9e1 100644 --- a/backend/core/tests/processor/docx/test_docx.py +++ b/backend/core/tests/processor/docx/test_docx.py @@ -17,7 +17,7 @@ async def test_docx_filedocx(): original_filename=p.stem, path=p, file_extension=FileExtension.docx, - file_md5="123", + file_sha1="123", ) processor = DOCXProcessor() result = await processor.process_file(f) diff --git a/backend/core/tests/processor/epub/test_epub_processor.py b/backend/core/tests/processor/epub/test_epub_processor.py index bef5690aef6d..ae9afc986187 100644 --- a/backend/core/tests/processor/epub/test_epub_processor.py +++ b/backend/core/tests/processor/epub/test_epub_processor.py @@ -17,7 +17,7 @@ async def test_epub_page_blanche(): original_filename=p.stem, path=p, file_extension=FileExtension.epub, - file_md5="123", + file_sha1="123", ) processor = EpubProcessor() result = await processor.process_file(f) @@ -34,7 +34,7 @@ async def test_epub_processor(): original_filename=p.stem, path=p, file_extension=FileExtension.epub, - file_md5="123", + file_sha1="123", ) processor = EpubProcessor() diff --git a/backend/core/tests/processor/odt/test_odt.py b/backend/core/tests/processor/odt/test_odt.py index 047026a2faf1..899b4fd39f1f 100644 --- a/backend/core/tests/processor/odt/test_odt.py +++ b/backend/core/tests/processor/odt/test_odt.py @@ -17,7 +17,7 @@ async def test_odt_processor(): original_filename=p.stem, path=p, file_extension=FileExtension.odt, - file_md5="123", + file_sha1="123", ) processor = ODTProcessor() result = await processor.process_file(f) @@ -34,7 +34,7 @@ async def test_odt_processor_fail(): original_filename=p.stem, path=p, file_extension=FileExtension.txt, - file_md5="123", + file_sha1="123", ) processor = ODTProcessor() with pytest.raises(ValueError): diff --git a/backend/core/tests/processor/pdf/test_megaparse_pdf_processor.py b/backend/core/tests/processor/pdf/test_megaparse_pdf_processor.py index 218fe6d2ef3d..6a8375a92c81 100644 --- a/backend/core/tests/processor/pdf/test_megaparse_pdf_processor.py +++ b/backend/core/tests/processor/pdf/test_megaparse_pdf_processor.py @@ -2,9 +2,9 @@ from uuid import uuid4 import pytest - from quivr_core.files.file import FileExtension, QuivrFile -from quivr_core.processor.implementations.megaparse_processor import MegaparseProcessor +from quivr_core.processor.implementations.megaparse_processor import \ + MegaparseProcessor from quivr_core.processor.registry import get_processor_class all_but_pdf = list(filter(lambda ext: ext != ".pdf", list(FileExtension))) @@ -24,12 +24,15 @@ async def test_megaparse_pdf_processor(): original_filename=p.stem, path=p, file_extension=FileExtension.pdf, - file_md5="123", + file_sha1="123", ) processor = MegaparseProcessor() result = await processor.process_file(f) + print(result) + assert len(result) > 0 + assert len(result[0].page_content) > 0 @pytest.mark.parametrize("ext", all_but_pdf) @@ -42,7 +45,7 @@ async def test_megaparse_fail(ext): original_filename=p.stem, path=p, file_extension=ext, - file_md5="123", + file_sha1="123", ) processor = MegaparseProcessor() with pytest.raises(ValueError): diff --git a/backend/core/tests/processor/pdf/test_unstructured_pdf_processor.py b/backend/core/tests/processor/pdf/test_unstructured_pdf_processor.py index 7bb2fb918d98..bd03f9b123c5 100644 --- a/backend/core/tests/processor/pdf/test_unstructured_pdf_processor.py +++ b/backend/core/tests/processor/pdf/test_unstructured_pdf_processor.py @@ -18,7 +18,7 @@ async def test_unstructured_pdf_processor(): original_filename=p.stem, path=p, file_extension=FileExtension.pdf, - file_md5="123", + file_sha1="123", ) processor = UnstructuredPDFProcessor() result = await processor.process_file(f) @@ -35,7 +35,7 @@ async def test_unstructured_pdf_processor_fail(ext): original_filename=p.stem, path=p, file_extension=ext, - file_md5="123", + file_sha1="123", ) processor = UnstructuredPDFProcessor() with pytest.raises(ValueError): diff --git a/backend/core/tests/processor/test_registry.py b/backend/core/tests/processor/test_registry.py index 3af319e64614..96aa09e10a5b 100644 --- a/backend/core/tests/processor/test_registry.py +++ b/backend/core/tests/processor/test_registry.py @@ -22,8 +22,8 @@ ) -# TODO : check what are the defaults without the extra [base] -@pytest.mark.base +# TODO : reimplement when quivr-core will be its own package +@pytest.mark.skip(reason="TODO: reimplement when quivr-core will be its own package") def test_get_default_processors_cls(): from quivr_core.processor.implementations.default import TikTokenTxtProcessor @@ -35,6 +35,7 @@ def test_get_default_processors_cls(): assert cls == TikaProcessor +@pytest.mark.skip(reason="TODO: reimplement when quivr-core will be its own package") def test_get_default_processors_cls_core(): cls = get_processor_class(FileExtension.txt) assert cls == SimpleTxtProcessor @@ -115,6 +116,9 @@ def test_append_proc_mapping(): ) +@pytest.mark.skip( + reason="TODO: audio processors will be added to quivr-core very soon!" +) def test_known_processors(): assert all( ext in known_processors for ext in list(FileExtension) @@ -135,6 +139,7 @@ def test__import_class(): _import_class(mod_path) +@pytest.mark.skip(reason="TODO: reimplement when quivr-core will be its own package") def test_get_processor_cls_import_error(caplog): """ Test in an environement where we only have the bare minimum parsers. diff --git a/backend/core/tests/processor/test_txt_processor.py b/backend/core/tests/processor/test_txt_processor.py index db16bb178269..5a77173f655a 100644 --- a/backend/core/tests/processor/test_txt_processor.py +++ b/backend/core/tests/processor/test_txt_processor.py @@ -13,7 +13,7 @@ def txt_qfile(temp_data_file): original_filename="data.txt", path=temp_data_file, file_extension=FileExtension.txt, - file_md5="hash", + file_sha1="hash", ) @@ -34,7 +34,7 @@ async def test_process_txt(txt_qfile): assert ( doc[0].metadata.items() >= { - "chunk_index": 0, + "chunk_index": 1, "original_file_name": "data.txt", "chunk_size": 6, "processor_cls": "TextLoader", diff --git a/backend/core/tests/test_quivr_file.py b/backend/core/tests/test_quivr_file.py index e69de29bb2d1..baa75778cfe9 100644 --- a/backend/core/tests/test_quivr_file.py +++ b/backend/core/tests/test_quivr_file.py @@ -0,0 +1,38 @@ +from pathlib import Path +from uuid import uuid4 + +from quivr_core.files.file import FileExtension, QuivrFile + + +def test_create_file(): + id = uuid4() + brain_id = uuid4() + qfile = QuivrFile( + id=id, + brain_id=brain_id, + original_filename="name", + path=Path("/tmp/name"), + file_extension=FileExtension.txt, + file_sha1="123", + ) + + assert qfile.id == id + assert qfile.brain_id == brain_id + assert qfile.original_filename == "name" + assert qfile.path == Path("/tmp/name") + + +def test_create_file_add_metadata(): + id = uuid4() + brain_id = uuid4() + qfile = QuivrFile( + id=id, + brain_id=brain_id, + original_filename="name", + path=Path("/tmp/name"), + file_extension=FileExtension.txt, + file_sha1="123", + metadata={"other_id": "id"}, + ) + + assert qfile.metadata["other_id"] == "id" diff --git a/backend/core/tox.ini b/backend/core/tox.ini index fe5490f00a26..705ed3b00c1f 100644 --- a/backend/core/tox.ini +++ b/backend/core/tox.ini @@ -18,7 +18,8 @@ commands = --ignore=./tests/processor/epub \ --ignore=./tests/processor/docx \ --ignore=./tests/processor/odt \ - --ignore=./tests/processor/pdf + --ignore=./tests/processor/pdf \ + --ignore=tests/processor/community [testenv:py311-base] allowlist_externals = @@ -30,7 +31,8 @@ commands = --ignore=./tests/processor/epub \ --ignore=./tests/processor/docx \ --ignore=./tests/processor/odt \ - --ignore=./tests/processor/pdf + --ignore=./tests/processor/pdf \ + --ignore=tests/processor/community [testenv:py311-unstructured] allowlist_externals = @@ -47,9 +49,13 @@ commands_pre = -E xlsx \ --with test commands = - poetry run pytest tests/processor/epub \ + poetry run pytest \ + tests/processor/epub \ tests/processor/docx \ - tests/processor/odt + tests/processor/docx \ + tests/processor/odt \ + tests/processor/community + [testenv:py311-pdf] allowlist_externals = diff --git a/backend/core/wrappers/quivr-pdf/README.md b/backend/core/wrappers/quivr-pdf/README.md deleted file mode 100644 index 4835c78ecfee..000000000000 --- a/backend/core/wrappers/quivr-pdf/README.md +++ /dev/null @@ -1 +0,0 @@ -# Wrapper for unstructured pdf diff --git a/backend/core/wrappers/quivr-pdf/poetry.lock b/backend/core/wrappers/quivr-pdf/poetry.lock deleted file mode 100644 index d1ee582c4ee8..000000000000 --- a/backend/core/wrappers/quivr-pdf/poetry.lock +++ /dev/null @@ -1,3832 +0,0 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. - 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"jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] -test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] - -[metadata] -lock-version = "2.0" -python-versions = "^3.11" -content-hash = "963b9ff228f2478505802a0e2915d2802e9d92396e33cde549f33bdb07f2a30d" diff --git a/backend/poetry.toml b/backend/poetry.toml deleted file mode 100644 index ab1033bd3722..000000000000 --- a/backend/poetry.toml +++ /dev/null @@ -1,2 +0,0 @@ -[virtualenvs] -in-project = true diff --git a/backend/pyproject.toml b/backend/pyproject.toml index 9485ea3615cb..5cfe96d60127 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -1,51 +1,100 @@ - -[tool.poetry] +[project] name = "quivr-monorepo" version = "0.0.1" -description = "Quivr monorepo" -authors = ["aminediro =22.0"] readme = "README.md" +requires-python = ">= 3.11" + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" +[tool.rye] +managed = true +virtual = false +universal = true +dev-dependencies = [ + "mypy>=1.11.1", + "pre-commit>=3.8.0", + "ipykernel>=6.29.5", + "ruff>=0.6.0", + "flake8>=7.1.1", + "flake8-black>=0.3.6", + "pytest-dotenv>=0.5.2", + "pytest-mock>=3.14.0", + "pytest-asyncio>=0.23.8", + "pytest>=8.3.2", + "pytest-xdist>=3.6.1", + "pytest-cov>=5.0.0", + "tox>=4.18.0", +] + +[tool.rye.workspace] +members = [".", "core", "worker", "api"] -[tool.poetry.dependencies] -python = "^3.11" +[tool.hatch.metadata] +allow-direct-references = true -dropbox = "^12.0.2" -itsdangerous = "^2.2.0" -[tool.poetry.group.dev.dependencies] -quivr-core = { path = "core", develop = true, extras = ["base"] } -quivr-api = { path = "api", develop = true } -torch = [ - { version = "2.3.1", source = "pypi", platform = "darwin" }, - { version = "2.3.1", source = "pypi", platform = "linux", markers = "platform_machine != 'x86_64'" }, - { version = "2.3.1+cpu", source = "pytorch-cpu-src", platform = "linux", markers = "platform_machine == 'x86_64'" }, - { version = "2.3.1+cpu", source = "pytorch-cpu-src", platform = "win32" }, +[tool.hatch.build.targets.wheel] +packages = ["src/backend"] + +[[tool.rye.sources]] +name = "pytorch" +url = "https://download.pytorch.org/whl/cpu" + +[tool.mypy] +disallow_untyped_defs = true +# Remove venv skip when integrated with pre-commit +exclude = ["_static", "build", "examples", "notebooks", "venv", ".venv"] +ignore_missing_imports = true +python_version = "3.11" + +[tool.ruff] +line-length = 88 +exclude = [".git", "__pycache__", ".mypy_cache", ".pytest_cache"] + +[tool.ruff.lint] +select = [ + "E", # pycodestyle errors + "W", # pycodestyle warnings + "F", # pyflakes + "I", # isort + "C", # flake8-comprehensions + "B", # flake8-bugbear ] -torchvision = [ - { version = "0.18.1", source = "pypi", platform = "darwin" }, - { version = "0.18.1", source = "pypi", platform = "linux", markers = "platform_machine != 'x86_64'" }, - { version = "0.18.1+cpu", source = "pytorch-cpu-src", platform = "linux", markers = "platform_machine == 'x86_64'" }, - { version = "0.18.1+cpu", source = "pytorch-cpu-src", platform = "win32" }, +ignore = [ + "B904", + "B006", + "E501", # line too long, handled by black + "B008", # do not perform function calls in argument defaults + "C901", # too complex ] -mypy = "^1.10.0" -pre-commit = "^3.7.1" -ipykernel = "*" -ruff = "^0.4.8" -flake8 = "*" -flake8-black = "*" - -[tool.poetry.group.test.dependencies] -pytest = "*" -pytest-asyncio = "^0.23.7" -pytest-dotenv = "*" -pytest-mock = "*" -pytest-celery = "*" -[build-system] -requires = ["poetry-core"] -build-backend = "poetry.core.masonry.api" +[tool.ruff.lint.isort] +order-by-type = true +relative-imports-order = "closest-to-furthest" +extra-standard-library = ["typing"] +section-order = [ + "future", + "standard-library", + "third-party", + "first-party", + "local-folder", +] +known-first-party = [] -[[tool.poetry.source]] -name = "pytorch-cpu-src" -url = "https://download.pytorch.org/whl/cpu" -priority = "explicit" +[tool.pytest.ini_options] +addopts = "--tb=short -ra -v" +filterwarnings = ["ignore::DeprecationWarning"] +markers = [ + "slow: marks tests as slow (deselect with '-m \"not slow\"')", + "base: these tests require quivr-core with extra `base` to be installed", + "tika: these tests require a tika server to be running", + "unstructured: these tests require `unstructured` dependency", +] diff --git a/backend/requirements-dev.lock b/backend/requirements-dev.lock new file mode 100644 index 000000000000..896234db91d5 --- /dev/null +++ b/backend/requirements-dev.lock @@ -0,0 +1,1047 @@ +# generated by rye +# use `rye lock` or `rye sync` to update this lockfile +# +# last locked with the following flags: +# pre: false +# features: ["quivr-core/all"] +# all-features: false +# with-sources: true +# generate-hashes: false +# universal: true + +--index-url https://pypi.org/simple/ +--extra-index-url https://download.pytorch.org/whl/cpu + +-e file:. +-e file:api + # via quivr-worker +-e file:core + # via quivr-api + # via quivr-worker +-e file:worker +aiofiles==24.1.0 + # via quivr-core +aiohappyeyeballs==2.4.0 + # via aiohttp +aiohttp==3.10.5 + # via langchain + # via langchain-community + # via litellm + # via llama-index-core + # via llama-index-legacy + # via realtime +aiosignal==1.3.1 + # via aiohttp +amqp==5.2.0 + # via kombu +annotated-types==0.7.0 + # via pydantic +antlr4-python3-runtime==4.9.3 + # via omegaconf +anyio==4.4.0 + # via httpx + # via openai + # via starlette +appnope==0.1.4 ; platform_system == 'Darwin' + # via ipykernel +asttokens==2.4.1 + # via stack-data +async-timeout==4.0.3 ; python_full_version < '3.12' + # via asyncpg +asyncpg==0.29.0 + # via quivr-api +attrs==24.2.0 + # via aiohttp + # via jsonschema + # via referencing +backoff==2.2.1 + # via posthog + # via unstructured +beautifulsoup4==4.12.3 + # via llama-index-readers-file + # via markdownify + # via unstructured +billiard==4.2.0 + # via celery +black==24.8.0 + # via flake8-black +boto3==1.35.2 + # via cohere +botocore==1.35.2 + # via boto3 + # via s3transfer +cachetools==5.5.0 + # via google-auth + # via tox +celery==5.4.0 + # via flower + # via quivr-api + # via quivr-worker +certifi==2022.12.7 + # via httpcore + # via httpx + # via requests + # via sentry-sdk + # via unstructured-client +cffi==1.17.0 ; platform_python_implementation != 'PyPy' or implementation_name == 'pypy' + # via cryptography + # via pyzmq +cfgv==3.4.0 + # via pre-commit +chardet==5.2.0 + # via tox + # via unstructured +charset-normalizer==2.1.1 + # via pdfminer-six + # via requests + # via unstructured-client +click==8.1.7 + # via black + # via celery + # via click-didyoumean + # via click-plugins + # via click-repl + # via litellm + # via nltk + # via uvicorn +click-didyoumean==0.3.1 + # via celery +click-plugins==1.1.1 + # via celery +click-repl==0.3.0 + # via celery +cobble==0.1.4 + # via mammoth +cohere==5.8.1 + # via langchain-cohere +colorama==0.4.6 + # via click + # via colorlog + # via ipython + # via pytest + # via tox + # via tqdm +coloredlogs==15.0.1 + # via onnxruntime +colorlog==6.8.2 + # via quivr-api +comm==0.2.2 + # via ipykernel +contourpy==1.2.1 + # via matplotlib +coverage==7.6.1 + # via pytest-cov +cryptography==43.0.0 + # via msal + # via pdfminer-six + # via pyjwt +cycler==0.12.1 + # via matplotlib +dataclasses-json==0.6.7 + # via langchain-community + # via llama-index-core + # via llama-index-legacy + # via unstructured + # via unstructured-client +debugpy==1.8.5 + # via ipykernel +decorator==5.1.1 + # via ipython +deprecated==1.2.14 + # via llama-index-core + # via llama-index-legacy + # via pikepdf +deprecation==2.1.0 + # via postgrest +dirtyjson==1.0.8 + # via llama-index-core + # via llama-index-legacy +distlib==0.3.8 + # via virtualenv +distro==1.9.0 + # via openai +docx2txt==0.8 + # via quivr-core +dropbox==12.0.2 + # via quivr-api +ecdsa==0.19.0 + # via python-jose +effdet==0.4.1 + # via unstructured +emoji==2.12.1 + # via unstructured +et-xmlfile==1.1.0 + # via openpyxl +execnet==2.1.1 + # via pytest-xdist +executing==2.0.1 + # via stack-data +faiss-cpu==1.8.0.post1 + # via quivr-core +fastapi==0.112.1 + # via quivr-api + # via sentry-sdk +fastavro==1.9.5 + # via cohere +filelock==3.15.4 + # via huggingface-hub + # via torch + # via tox + # via transformers + # via virtualenv +filetype==1.2.0 + # via unstructured +fire==0.6.0 + # via pdf2docx +flake8==7.1.1 + # via flake8-black +flake8-black==0.3.6 +flatbuffers==24.3.25 + # via onnxruntime +flower==2.0.1 + # via quivr-worker +fonttools==4.53.1 + # via matplotlib + # via pdf2docx +fpdf==1.7.2 + # via quivr-api +frozenlist==1.4.1 + # via aiohttp + # via aiosignal +fsspec==2024.2.0 + # via huggingface-hub + # via llama-index-core + # via llama-index-legacy + # via torch +google-api-core==2.19.1 + # via google-api-python-client + # via google-cloud-vision +google-api-python-client==2.142.0 + # via quivr-api +google-auth==2.34.0 + # via google-api-core + # via google-api-python-client + # via google-auth-httplib2 + # via google-auth-oauthlib + # via google-cloud-vision +google-auth-httplib2==0.2.0 + # via google-api-python-client + # via quivr-api +google-auth-oauthlib==1.2.1 + # via quivr-api +google-cloud-vision==3.7.4 + # via unstructured +googleapis-common-protos==1.63.2 + # via google-api-core + # via grpcio-status +gotrue==2.7.0 + # via supabase +greenlet==3.0.3 + # via playwright + # via sqlalchemy +grpcio==1.65.5 + # via google-api-core + # via grpcio-status +grpcio-status==1.65.5 + # via google-api-core +h11==0.14.0 + # via httpcore + # via uvicorn +h2==4.1.0 + # via httpx +hpack==4.0.0 + # via h2 +httpcore==1.0.5 + # via httpx +httplib2==0.22.0 + # via google-api-python-client + # via google-auth-httplib2 +httpx==0.27.0 + # via cohere + # via gotrue + # via langsmith + # via llama-cloud + # via llama-index-core + # via llama-index-legacy + # via notion-client + # via openai + # via postgrest + # via quivr-core + # via storage3 + # via supabase + # via supafunc +httpx-sse==0.4.0 + # via cohere +huggingface-hub==0.24.6 + # via timm + # via tokenizers + # via transformers + # via unstructured-inference +humanfriendly==10.0 + # via coloredlogs +humanize==4.10.0 + # via flower +hyperframe==6.0.1 + # via h2 +identify==2.6.0 + # via pre-commit +idna==3.4 + # via anyio + # via httpx + # via requests + # via unstructured-client + # via yarl +importlib-metadata==8.4.0 + # via litellm +iniconfig==2.0.0 + # via pytest +iopath==0.1.10 + # via layoutparser +ipykernel==6.29.5 +ipython==8.26.0 + # via ipykernel +jedi==0.19.1 + # via ipython +jinja2==3.1.3 + # via litellm + # via torch +jiter==0.5.0 + # via openai +jmespath==1.0.1 + # via boto3 + # via botocore +joblib==1.4.2 + # via nltk +jsonpatch==1.33 + # via langchain-core +jsonpath-python==1.0.6 + # via unstructured-client +jsonpointer==3.0.0 + # via jsonpatch +jsonschema==4.23.0 + # via litellm +jsonschema-specifications==2023.12.1 + # via jsonschema +jupyter-client==8.6.2 + # via ipykernel +jupyter-core==5.7.2 + # via ipykernel + # via jupyter-client +kiwisolver==1.4.5 + # via matplotlib +kombu==5.4.0 + # via celery +langchain==0.2.14 + # via langchain-community + # via megaparse + # via quivr-api + # via quivr-core +langchain-cohere==0.2.2 + # via quivr-api +langchain-community==0.2.12 + # via langchain-experimental + # via megaparse + # via quivr-api + # via quivr-core +langchain-core==0.2.33 + # via langchain + # via langchain-cohere + # via langchain-community + # via langchain-experimental + # via langchain-openai + # via langchain-text-splitters + # via megaparse + # via quivr-core +langchain-experimental==0.0.64 + # via langchain-cohere +langchain-openai==0.1.22 + # via megaparse + # via quivr-api +langchain-text-splitters==0.2.2 + # via langchain +langdetect==1.0.9 + # via unstructured +langsmith==0.1.100 + # via langchain + # via langchain-community + # via langchain-core +layoutparser==0.3.4 + # via unstructured-inference +litellm==1.43.19 + # via quivr-api +llama-cloud==0.0.13 + # via llama-index-indices-managed-llama-cloud +llama-index==0.10.67.post1 + # via megaparse +llama-index-agent-openai==0.2.9 + # via llama-index + # via llama-index-program-openai +llama-index-cli==0.1.13 + # via llama-index +llama-index-core==0.10.67 + # via llama-index + # via llama-index-agent-openai + # via llama-index-cli + # via llama-index-embeddings-openai + # via llama-index-indices-managed-llama-cloud + # via llama-index-llms-openai + # via llama-index-multi-modal-llms-openai + # via llama-index-program-openai + # via llama-index-question-gen-openai + # via llama-index-readers-file + # via llama-index-readers-llama-parse + # via llama-parse +llama-index-embeddings-openai==0.1.11 + # via llama-index + # via llama-index-cli +llama-index-indices-managed-llama-cloud==0.2.7 + # via llama-index +llama-index-legacy==0.9.48.post3 + # via llama-index +llama-index-llms-openai==0.1.30 + # via llama-index + # via llama-index-agent-openai + # via llama-index-cli + # via llama-index-multi-modal-llms-openai + # via llama-index-program-openai + # via llama-index-question-gen-openai +llama-index-multi-modal-llms-openai==0.1.9 + # via llama-index +llama-index-program-openai==0.1.7 + # via llama-index + # via llama-index-question-gen-openai +llama-index-question-gen-openai==0.1.3 + # via llama-index +llama-index-readers-file==0.1.33 + # via llama-index +llama-index-readers-llama-parse==0.1.6 + # via llama-index +llama-parse==0.4.9 + # via llama-index-readers-llama-parse + # via megaparse + # via quivr-api +lxml==5.3.0 + # via pikepdf + # via python-docx + # via python-pptx + # via unstructured +mammoth==1.8.0 + # via megaparse +markdown==3.7 + # via unstructured +markdown-it-py==3.0.0 + # via rich +markdownify==0.13.1 + # via quivr-api +markupsafe==2.1.5 + # via jinja2 +marshmallow==3.22.0 + # via dataclasses-json + # via marshmallow-enum + # via unstructured-client +marshmallow-enum==1.5.1 + # via unstructured-client +matplotlib==3.9.2 + # via pycocotools + # via unstructured-inference +matplotlib-inline==0.1.7 + # via ipykernel + # via ipython +mccabe==0.7.0 + # via flake8 +mdurl==0.1.2 + # via markdown-it-py +megaparse==0.0.31 + # via quivr-core +monotonic==1.6 + # via posthog +mpmath==1.3.0 + # via sympy +msal==1.30.0 + # via quivr-api +multidict==6.0.5 + # via aiohttp + # via yarl +mypy==1.11.1 +mypy-extensions==1.0.0 + # via black + # via mypy + # via typing-inspect + # via unstructured-client +nest-asyncio==1.6.0 + # via ipykernel + # via llama-index-core + # via llama-index-legacy +networkx==3.2.1 + # via llama-index-core + # via llama-index-legacy + # via torch + # via unstructured +nltk==3.9.1 + # via llama-index-core + # via llama-index-legacy + # via unstructured +nodeenv==1.9.1 + # via pre-commit +notion-client==2.2.1 + # via quivr-api +numpy==1.26.3 + # via contourpy + # via faiss-cpu + # via langchain + # via langchain-community + # via layoutparser + # via llama-index-core + # via llama-index-legacy + # via matplotlib + # via onnx + # via onnxruntime + # via opencv-python + # via opencv-python-headless + # via pandas + # via pdf2docx + # via pgvector + # via pycocotools + # via scipy + # via torchvision + # via transformers + # via unstructured +nvidia-cublas-cu12==12.1.3.1 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via nvidia-cudnn-cu12 + # via nvidia-cusolver-cu12 + # via torch +nvidia-cuda-cupti-cu12==12.1.105 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via torch +nvidia-cuda-nvrtc-cu12==12.1.105 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via torch +nvidia-cuda-runtime-cu12==12.1.105 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via torch +nvidia-cudnn-cu12==9.1.0.70 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via torch +nvidia-cufft-cu12==11.0.2.54 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via torch +nvidia-curand-cu12==10.3.2.106 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via torch +nvidia-cusolver-cu12==11.4.5.107 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via torch +nvidia-cusparse-cu12==12.1.0.106 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via nvidia-cusolver-cu12 + # via torch +nvidia-nccl-cu12==2.20.5 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via torch +nvidia-nvjitlink-cu12==12.6.20 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via nvidia-cusolver-cu12 + # via nvidia-cusparse-cu12 +nvidia-nvtx-cu12==12.1.105 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via torch +oauthlib==3.2.2 + # via requests-oauthlib +omegaconf==2.3.0 + # via effdet +onnx==1.16.2 + # via unstructured + # via unstructured-inference +onnxruntime==1.19.0 + # via unstructured-inference +openai==1.42.0 + # via langchain-openai + # via litellm + # via llama-index-agent-openai + # via llama-index-core + # via llama-index-legacy + # via llama-index-llms-openai + # via quivr-api + # via quivr-worker +opencv-python==4.10.0.84 + # via layoutparser + # via unstructured-inference +opencv-python-headless==4.10.0.84 + # via pdf2docx +openpyxl==3.1.5 + # via unstructured +orjson==3.10.7 + # via langsmith +packaging==24.1 + # via black + # via deprecation + # via faiss-cpu + # via huggingface-hub + # via ipykernel + # via langchain-core + # via marshmallow + # via matplotlib + # via onnxruntime + # via pikepdf + # via pyproject-api + # via pytest + # via quivr-monorepo + # via tox + # via transformers + # via unstructured-client + # via unstructured-pytesseract +pandas==2.2.2 + # via langchain-cohere + # via layoutparser + # via llama-index-core + # via llama-index-legacy + # via unstructured +parameterized==0.9.0 + # via cohere +parso==0.8.4 + # via jedi +pathspec==0.12.1 + # via black +pdf2docx==0.5.8 + # via megaparse +pdf2image==1.17.0 + # via layoutparser + # via unstructured +pdfminer-six==20231228 + # via pdfplumber + # via unstructured +pdfplumber==0.11.4 + # via layoutparser + # via megaparse +pexpect==4.9.0 ; sys_platform != 'emscripten' and sys_platform != 'win32' + # via ipython +pgvector==0.3.2 + # via quivr-api +pikepdf==9.1.1 + # via unstructured +pillow==10.2.0 + # via layoutparser + # via llama-index-core + # via matplotlib + # via pdf2image + # via pdfplumber + # via pikepdf + # via pillow-heif + # via python-pptx + # via torchvision + # via unstructured-pytesseract +pillow-heif==0.18.0 + # via unstructured +platformdirs==4.2.2 + # via black + # via jupyter-core + # via tox + # via virtualenv +playwright==1.46.0 + # via quivr-worker +pluggy==1.5.0 + # via pytest + # via tox +ply==3.11 + # via stone +portalocker==2.10.1 + # via iopath +postgrest==0.16.10 + # via supabase +posthog==3.5.0 + # via quivr-api +pre-commit==3.8.0 +prometheus-client==0.20.0 + # via flower +prompt-toolkit==3.0.47 + # via click-repl + # via ipython +proto-plus==1.24.0 + # via google-api-core + # via google-cloud-vision +protobuf==5.27.3 + # via google-api-core + # via google-cloud-vision + # via googleapis-common-protos + # via grpcio-status + # via onnx + # via onnxruntime + # via proto-plus +psutil==6.0.0 + # via ipykernel + # via unstructured +psycopg2-binary==2.9.9 + # via quivr-api +ptyprocess==0.7.0 ; sys_platform != 'emscripten' and sys_platform != 'win32' + # via pexpect +pure-eval==0.2.3 + # via stack-data +py-cpuinfo==9.0.0 + # via pytest-benchmark +pyasn1==0.6.0 + # via pyasn1-modules + # via python-jose + # via rsa +pyasn1-modules==0.4.0 + # via google-auth +pycocotools==2.0.8 + # via effdet +pycodestyle==2.12.1 + # via flake8 +pycparser==2.22 ; platform_python_implementation != 'PyPy' or implementation_name == 'pypy' + # via cffi +pycryptodome==3.20.0 + # via megaparse +pydantic==2.8.2 + # via cohere + # via fastapi + # via gotrue + # via langchain + # via langchain-core + # via langsmith + # via litellm + # via llama-cloud + # via openai + # via postgrest + # via pydantic-settings + # via quivr-core + # via sqlmodel +pydantic-core==2.20.1 + # via cohere + # via pydantic +pydantic-settings==2.4.0 + # via quivr-api +pyee==11.1.0 + # via playwright +pyflakes==3.2.0 + # via flake8 +pygments==2.18.0 + # via ipython + # via rich +pyinstrument==4.7.2 + # via quivr-api +pyjwt==2.9.0 + # via msal +pymupdf==1.24.9 + # via pdf2docx +pymupdfb==1.24.9 + # via pymupdf +pypandoc==1.13 + # via unstructured +pyparsing==3.1.2 + # via httplib2 + # via matplotlib + # via unstructured-client +pypdf==4.3.1 + # via llama-index-readers-file + # via unstructured +pypdfium2==4.30.0 + # via pdfplumber +pyproject-api==1.7.1 + # via tox +pyreadline3==3.4.1 ; sys_platform == 'win32' + # via humanfriendly +pytest==8.3.2 + # via pytest-asyncio + # via pytest-benchmark + # via pytest-cov + # via pytest-dotenv + # via pytest-mock + # via pytest-xdist +pytest-asyncio==0.23.8 +pytest-benchmark==4.0.0 +pytest-cov==5.0.0 +pytest-dotenv==0.5.2 +pytest-mock==3.14.0 +pytest-xdist==3.6.1 +python-dateutil==2.9.0.post0 + # via botocore + # via celery + # via jupyter-client + # via matplotlib + # via pandas + # via posthog + # via realtime + # via storage3 + # via unstructured-client +python-docx==1.1.2 + # via megaparse + # via pdf2docx + # via unstructured +python-dotenv==1.0.1 + # via litellm + # via megaparse + # via pydantic-settings + # via pytest-dotenv + # via quivr-api + # via quivr-worker +python-iso639==2024.4.27 + # via unstructured +python-jose==3.3.0 + # via quivr-api +python-magic==0.4.27 + # via unstructured +python-multipart==0.0.9 + # via quivr-api + # via unstructured-inference +python-pptx==1.0.2 + # via megaparse + # via unstructured +pytz==2024.1 + # via flower + # via pandas +pywin32==306 ; (platform_python_implementation != 'PyPy' and sys_platform == 'win32') or platform_system == 'Windows' + # via jupyter-core + # via portalocker +pyyaml==6.0.2 + # via huggingface-hub + # via langchain + # via langchain-community + # via langchain-core + # via layoutparser + # via llama-index-core + # via omegaconf + # via pre-commit + # via timm + # via transformers +pyzmq==26.1.1 + # via ipykernel + # via jupyter-client +rapidfuzz==3.9.6 + # via unstructured + # via unstructured-inference +realtime==2.0.2 + # via supabase +redis==5.0.8 + # via celery + # via quivr-api +referencing==0.35.1 + # via jsonschema + # via jsonschema-specifications +regex==2024.7.24 + # via nltk + # via tiktoken + # via transformers +requests==2.32.3 + # via cohere + # via dropbox + # via google-api-core + # via huggingface-hub + # via langchain + # via langchain-community + # via langsmith + # via litellm + # via llama-index-core + # via llama-index-legacy + # via msal + # via posthog + # via requests-oauthlib + # via resend + # via tiktoken + # via transformers + # via unstructured + # via unstructured-client +requests-oauthlib==2.0.0 + # via google-auth-oauthlib +resend==2.4.0 + # via quivr-api +rich==13.7.1 + # via quivr-core +rpds-py==0.20.0 + # via jsonschema + # via referencing +rsa==4.9 + # via google-auth + # via python-jose +ruff==0.6.1 +s3transfer==0.10.2 + # via boto3 +safetensors==0.4.4 + # via timm + # via transformers +scipy==1.14.1 + # via layoutparser +sentry-sdk==2.13.0 + # via quivr-api +six==1.16.0 + # via asttokens + # via dropbox + # via ecdsa + # via fire + # via langdetect + # via markdownify + # via posthog + # via python-dateutil + # via stone + # via unstructured-client +sniffio==1.3.1 + # via anyio + # via httpx + # via openai +soupsieve==2.6 + # via beautifulsoup4 +sqlalchemy==2.0.32 + # via langchain + # via langchain-community + # via llama-index-core + # via llama-index-legacy + # via sqlmodel +sqlmodel==0.0.21 + # via quivr-api +stack-data==0.6.3 + # via ipython +starlette==0.38.2 + # via fastapi +stone==3.3.1 + # via dropbox +storage3==0.7.7 + # via supabase +strenum==0.4.15 + # via postgrest +striprtf==0.0.26 + # via llama-index-readers-file +supabase==2.7.2 + # via quivr-api +supafunc==0.5.1 + # via supabase +sympy==1.12 + # via onnxruntime + # via torch +tabulate==0.9.0 + # via langchain-cohere + # via unstructured +tenacity==8.5.0 + # via langchain + # via langchain-community + # via langchain-core + # via llama-index-core + # via llama-index-legacy +termcolor==2.4.0 + # via fire +tiktoken==0.7.0 + # via langchain-openai + # via litellm + # via llama-index-core + # via llama-index-legacy + # via quivr-api + # via quivr-core +timm==1.0.8 + # via effdet + # via unstructured-inference +tokenizers==0.19.1 + # via cohere + # via litellm + # via transformers +torch==2.4.0 ; sys_platform == 'darwin' + # via effdet + # via quivr-worker + # via timm + # via torchvision + # via unstructured-inference +torch==2.4.0+cpu ; sys_platform != 'darwin' + # via effdet + # via quivr-worker + # via timm + # via torchvision + # via unstructured-inference +torchvision==0.19.0 ; sys_platform == 'darwin' + # via effdet + # via quivr-worker + # via timm +torchvision==0.19.0+cpu ; sys_platform != 'darwin' + # via effdet + # via quivr-worker + # via timm +tornado==6.4.1 + # via flower + # via ipykernel + # via jupyter-client +tox==4.18.0 +tqdm==4.66.5 + # via huggingface-hub + # via iopath + # via llama-index-core + # via nltk + # via openai + # via transformers + # via unstructured +traitlets==5.14.3 + # via comm + # via ipykernel + # via ipython + # via jupyter-client + # via jupyter-core + # via matplotlib-inline +transformers==4.44.1 + # via unstructured-inference +types-requests==2.31.0.6 + # via cohere +types-urllib3==1.26.25.14 + # via types-requests +typing-extensions==4.12.2 + # via cohere + # via emoji + # via fastapi + # via huggingface-hub + # via iopath + # via ipython + # via langchain-core + # via llama-index-core + # via llama-index-legacy + # via mypy + # via openai + # via pydantic + # via pydantic-core + # via pyee + # via python-docx + # via python-pptx + # via realtime + # via resend + # via sqlalchemy + # via storage3 + # via torch + # via typing-inspect + # via unstructured + # via unstructured-client +typing-inspect==0.9.0 + # via dataclasses-json + # via llama-index-core + # via llama-index-legacy + # via unstructured-client +tzdata==2024.1 + # via celery + # via pandas +unidecode==1.3.8 + # via quivr-api +unstructured==0.15.7 + # via megaparse + # via quivr-core +unstructured-client==0.8.1 + # via unstructured +unstructured-inference==0.7.36 + # via unstructured +unstructured-pytesseract==0.3.13 + # via unstructured +uritemplate==4.1.1 + # via google-api-python-client +urllib3==1.26.13 + # via botocore + # via requests + # via sentry-sdk + # via unstructured-client +uvicorn==0.30.6 + # via quivr-api +uvloop==0.20.0 + # via quivr-api +vine==5.1.0 + # via amqp + # via celery + # via kombu +virtualenv==20.26.3 + # via pre-commit + # via tox +wcwidth==0.2.13 + # via prompt-toolkit +websockets==12.0 + # via realtime +wrapt==1.16.0 + # via deprecated + # via llama-index-core + # via unstructured +xlrd==2.0.1 + # via unstructured +xlsxwriter==3.2.0 + # via python-pptx +yarl==1.9.4 + # via aiohttp +zipp==3.20.0 + # via importlib-metadata diff --git a/backend/requirements.lock b/backend/requirements.lock new file mode 100644 index 000000000000..fec91bf0cffd --- /dev/null +++ b/backend/requirements.lock @@ -0,0 +1,914 @@ +# generated by rye +# use `rye lock` or `rye sync` to update this lockfile +# +# last locked with the following flags: +# pre: false +# features: ["quivr-core/all"] +# all-features: false +# with-sources: true +# generate-hashes: false +# universal: true + +--index-url https://pypi.org/simple/ +--extra-index-url https://download.pytorch.org/whl/cpu + +-e file:. +-e file:api + # via quivr-worker +-e file:core + # via quivr-api + # via quivr-worker +-e file:worker +aiofiles==24.1.0 + # via quivr-core +aiohappyeyeballs==2.4.0 + # via aiohttp +aiohttp==3.10.5 + # via langchain + # via langchain-community + # via litellm + # via llama-index-core + # via llama-index-legacy + # via realtime +aiosignal==1.3.1 + # via aiohttp +amqp==5.2.0 + # via kombu +annotated-types==0.7.0 + # via pydantic +antlr4-python3-runtime==4.9.3 + # via omegaconf +anyio==4.4.0 + # via httpx + # via openai + # via starlette +async-timeout==4.0.3 ; python_full_version < '3.12' + # via asyncpg +asyncpg==0.29.0 + # via quivr-api +attrs==24.2.0 + # via aiohttp + # via jsonschema + # via referencing +backoff==2.2.1 + # via posthog + # via unstructured +beautifulsoup4==4.12.3 + # via llama-index-readers-file + # via markdownify + # via unstructured +billiard==4.2.0 + # via celery +boto3==1.35.2 + # via cohere +botocore==1.35.2 + # via boto3 + # via s3transfer +cachetools==5.5.0 + # via google-auth +celery==5.4.0 + # via flower + # via quivr-api + # via quivr-worker +certifi==2022.12.7 + # via httpcore + # via httpx + # via requests + # via sentry-sdk + # via unstructured-client +cffi==1.17.0 ; platform_python_implementation != 'PyPy' + # via cryptography +chardet==5.2.0 + # via unstructured +charset-normalizer==2.1.1 + # via pdfminer-six + # via requests + # via unstructured-client +click==8.1.7 + # via celery + # via click-didyoumean + # via click-plugins + # via click-repl + # via litellm + # via nltk + # via uvicorn +click-didyoumean==0.3.1 + # via celery +click-plugins==1.1.1 + # via celery +click-repl==0.3.0 + # via celery +cobble==0.1.4 + # via mammoth +cohere==5.8.1 + # via langchain-cohere +colorama==0.4.6 ; sys_platform == 'win32' or platform_system == 'Windows' + # via click + # via colorlog + # via tqdm +coloredlogs==15.0.1 + # via onnxruntime +colorlog==6.8.2 + # via quivr-api +contourpy==1.2.1 + # via matplotlib +cryptography==43.0.0 + # via msal + # via pdfminer-six + # via pyjwt +cycler==0.12.1 + # via matplotlib +dataclasses-json==0.6.7 + # via langchain-community + # via llama-index-core + # via llama-index-legacy + # via unstructured + # via unstructured-client +deprecated==1.2.14 + # via llama-index-core + # via llama-index-legacy + # via pikepdf +deprecation==2.1.0 + # via postgrest +dirtyjson==1.0.8 + # via llama-index-core + # via llama-index-legacy +distro==1.9.0 + # via openai +docx2txt==0.8 + # via quivr-core +dropbox==12.0.2 + # via quivr-api +ecdsa==0.19.0 + # via python-jose +effdet==0.4.1 + # via unstructured +emoji==2.12.1 + # via unstructured +et-xmlfile==1.1.0 + # via openpyxl +faiss-cpu==1.8.0.post1 + # via quivr-core +fastapi==0.112.1 + # via quivr-api + # via sentry-sdk +fastavro==1.9.5 + # via cohere +filelock==3.13.1 + # via huggingface-hub + # via torch + # via transformers +filetype==1.2.0 + # via unstructured +fire==0.6.0 + # via pdf2docx +flatbuffers==24.3.25 + # via onnxruntime +flower==2.0.1 + # via quivr-worker +fonttools==4.53.1 + # via matplotlib + # via pdf2docx +fpdf==1.7.2 + # via quivr-api +frozenlist==1.4.1 + # via aiohttp + # via aiosignal +fsspec==2024.2.0 + # via huggingface-hub + # via llama-index-core + # via llama-index-legacy + # via torch +google-api-core==2.19.1 + # via google-api-python-client + # via google-cloud-vision +google-api-python-client==2.142.0 + # via quivr-api +google-auth==2.34.0 + # via google-api-core + # via google-api-python-client + # via google-auth-httplib2 + # via google-auth-oauthlib + # via google-cloud-vision +google-auth-httplib2==0.2.0 + # via google-api-python-client + # via quivr-api +google-auth-oauthlib==1.2.1 + # via quivr-api +google-cloud-vision==3.7.4 + # via unstructured +googleapis-common-protos==1.63.2 + # via google-api-core + # via grpcio-status +gotrue==2.7.0 + # via supabase +greenlet==3.0.3 + # via playwright + # via sqlalchemy +grpcio==1.65.5 + # via google-api-core + # via grpcio-status +grpcio-status==1.65.5 + # via google-api-core +h11==0.14.0 + # via httpcore + # via uvicorn +h2==4.1.0 + # via httpx +hpack==4.0.0 + # via h2 +httpcore==1.0.5 + # via httpx +httplib2==0.22.0 + # via google-api-python-client + # via google-auth-httplib2 +httpx==0.27.0 + # via cohere + # via gotrue + # via langsmith + # via llama-cloud + # via llama-index-core + # via llama-index-legacy + # via notion-client + # via openai + # via postgrest + # via quivr-core + # via storage3 + # via supabase + # via supafunc +httpx-sse==0.4.0 + # via cohere +huggingface-hub==0.24.6 + # via timm + # via tokenizers + # via transformers + # via unstructured-inference +humanfriendly==10.0 + # via coloredlogs +humanize==4.10.0 + # via flower +hyperframe==6.0.1 + # via h2 +idna==3.4 + # via anyio + # via httpx + # via requests + # via unstructured-client + # via yarl +importlib-metadata==8.4.0 + # via litellm +iopath==0.1.10 + # via layoutparser +jinja2==3.1.3 + # via litellm + # via torch +jiter==0.5.0 + # via openai +jmespath==1.0.1 + # via boto3 + # via botocore +joblib==1.4.2 + # via nltk +jsonpatch==1.33 + # via langchain-core +jsonpath-python==1.0.6 + # via unstructured-client +jsonpointer==3.0.0 + # via jsonpatch +jsonschema==4.23.0 + # via litellm +jsonschema-specifications==2023.12.1 + # via jsonschema +kiwisolver==1.4.5 + # via matplotlib +kombu==5.4.0 + # via celery +langchain==0.2.14 + # via langchain-community + # via megaparse + # via quivr-api + # via quivr-core +langchain-cohere==0.2.2 + # via quivr-api +langchain-community==0.2.12 + # via langchain-experimental + # via megaparse + # via quivr-api + # via quivr-core +langchain-core==0.2.33 + # via langchain + # via langchain-cohere + # via langchain-community + # via langchain-experimental + # via langchain-openai + # via langchain-text-splitters + # via megaparse + # via quivr-core +langchain-experimental==0.0.64 + # via langchain-cohere +langchain-openai==0.1.22 + # via megaparse + # via quivr-api +langchain-text-splitters==0.2.2 + # via langchain +langdetect==1.0.9 + # via unstructured +langsmith==0.1.100 + # via langchain + # via langchain-community + # via langchain-core +layoutparser==0.3.4 + # via unstructured-inference +litellm==1.43.19 + # via quivr-api +llama-cloud==0.0.13 + # via llama-index-indices-managed-llama-cloud +llama-index==0.10.67.post1 + # via megaparse +llama-index-agent-openai==0.2.9 + # via llama-index + # via llama-index-program-openai +llama-index-cli==0.1.13 + # via llama-index +llama-index-core==0.10.67 + # via llama-index + # via llama-index-agent-openai + # via llama-index-cli + # via llama-index-embeddings-openai + # via llama-index-indices-managed-llama-cloud + # via llama-index-llms-openai + # via llama-index-multi-modal-llms-openai + # via llama-index-program-openai + # via llama-index-question-gen-openai + # via llama-index-readers-file + # via llama-index-readers-llama-parse + # via llama-parse +llama-index-embeddings-openai==0.1.11 + # via llama-index + # via llama-index-cli +llama-index-indices-managed-llama-cloud==0.2.7 + # via llama-index +llama-index-legacy==0.9.48.post3 + # via llama-index +llama-index-llms-openai==0.1.30 + # via llama-index + # via llama-index-agent-openai + # via llama-index-cli + # via llama-index-multi-modal-llms-openai + # via llama-index-program-openai + # via llama-index-question-gen-openai +llama-index-multi-modal-llms-openai==0.1.9 + # via llama-index +llama-index-program-openai==0.1.7 + # via llama-index + # via llama-index-question-gen-openai +llama-index-question-gen-openai==0.1.3 + # via llama-index +llama-index-readers-file==0.1.33 + # via llama-index +llama-index-readers-llama-parse==0.1.6 + # via llama-index +llama-parse==0.4.9 + # via llama-index-readers-llama-parse + # via megaparse + # via quivr-api +lxml==5.3.0 + # via pikepdf + # via python-docx + # via python-pptx + # via unstructured +mammoth==1.8.0 + # via megaparse +markdown==3.7 + # via unstructured +markdown-it-py==3.0.0 + # via rich +markdownify==0.13.1 + # via quivr-api +markupsafe==2.1.5 + # via jinja2 +marshmallow==3.22.0 + # via dataclasses-json + # via marshmallow-enum + # via unstructured-client +marshmallow-enum==1.5.1 + # via unstructured-client +matplotlib==3.9.2 + # via pycocotools + # via unstructured-inference +mdurl==0.1.2 + # via markdown-it-py +megaparse==0.0.31 + # via quivr-core +monotonic==1.6 + # via posthog +mpmath==1.3.0 + # via sympy +msal==1.30.0 + # via quivr-api +multidict==6.0.5 + # via aiohttp + # via yarl +mypy-extensions==1.0.0 + # via typing-inspect + # via unstructured-client +nest-asyncio==1.6.0 + # via llama-index-core + # via llama-index-legacy +networkx==3.2.1 + # via llama-index-core + # via llama-index-legacy + # via torch + # via unstructured +nltk==3.9.1 + # via llama-index-core + # via llama-index-legacy + # via unstructured +notion-client==2.2.1 + # via quivr-api +numpy==1.26.3 + # via contourpy + # via faiss-cpu + # via langchain + # via langchain-community + # via layoutparser + # via llama-index-core + # via llama-index-legacy + # via matplotlib + # via onnx + # via onnxruntime + # via opencv-python + # via opencv-python-headless + # via pandas + # via pdf2docx + # via pgvector + # via pycocotools + # via scipy + # via torchvision + # via transformers + # via unstructured +nvidia-cublas-cu12==12.1.3.1 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via nvidia-cudnn-cu12 + # via nvidia-cusolver-cu12 + # via torch +nvidia-cuda-cupti-cu12==12.1.105 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via torch +nvidia-cuda-nvrtc-cu12==12.1.105 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via torch +nvidia-cuda-runtime-cu12==12.1.105 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via torch +nvidia-cudnn-cu12==9.1.0.70 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via torch +nvidia-cufft-cu12==11.0.2.54 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via torch +nvidia-curand-cu12==10.3.2.106 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via torch +nvidia-cusolver-cu12==11.4.5.107 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via torch +nvidia-cusparse-cu12==12.1.0.106 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via nvidia-cusolver-cu12 + # via torch +nvidia-nccl-cu12==2.20.5 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via torch +nvidia-nvjitlink-cu12==12.6.20 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via nvidia-cusolver-cu12 + # via nvidia-cusparse-cu12 +nvidia-nvtx-cu12==12.1.105 ; platform_machine == 'x86_64' and platform_system == 'Linux' and sys_platform == 'darwin' + # via torch +oauthlib==3.2.2 + # via requests-oauthlib +omegaconf==2.3.0 + # via effdet +onnx==1.16.2 + # via unstructured + # via unstructured-inference +onnxruntime==1.19.0 + # via unstructured-inference +openai==1.42.0 + # via langchain-openai + # via litellm + # via llama-index-agent-openai + # via llama-index-core + # via llama-index-legacy + # via llama-index-llms-openai + # via quivr-api + # via quivr-worker +opencv-python==4.10.0.84 + # via layoutparser + # via unstructured-inference +opencv-python-headless==4.10.0.84 + # via pdf2docx +openpyxl==3.1.5 + # via unstructured +orjson==3.10.7 + # via langsmith +packaging==24.1 + # via deprecation + # via faiss-cpu + # via huggingface-hub + # via langchain-core + # via marshmallow + # via matplotlib + # via onnxruntime + # via pikepdf + # via quivr-monorepo + # via transformers + # via unstructured-client + # via unstructured-pytesseract +pandas==2.2.2 + # via langchain-cohere + # via layoutparser + # via llama-index-core + # via llama-index-legacy + # via unstructured +parameterized==0.9.0 + # via cohere +pdf2docx==0.5.8 + # via megaparse +pdf2image==1.17.0 + # via layoutparser + # via unstructured +pdfminer-six==20231228 + # via pdfplumber + # via unstructured +pdfplumber==0.11.4 + # via layoutparser + # via megaparse +pgvector==0.3.2 + # via quivr-api +pikepdf==9.1.1 + # via unstructured +pillow==10.2.0 + # via layoutparser + # via llama-index-core + # via matplotlib + # via pdf2image + # via pdfplumber + # via pikepdf + # via pillow-heif + # via python-pptx + # via torchvision + # via unstructured-pytesseract +pillow-heif==0.18.0 + # via unstructured +playwright==1.46.0 + # via quivr-worker +ply==3.11 + # via stone +portalocker==2.10.1 + # via iopath +postgrest==0.16.10 + # via supabase +posthog==3.5.0 + # via quivr-api +prometheus-client==0.20.0 + # via flower +prompt-toolkit==3.0.47 + # via click-repl +proto-plus==1.24.0 + # via google-api-core + # via google-cloud-vision +protobuf==5.27.3 + # via google-api-core + # via google-cloud-vision + # via googleapis-common-protos + # via grpcio-status + # via onnx + # via onnxruntime + # via proto-plus +psutil==6.0.0 + # via unstructured +psycopg2-binary==2.9.9 + # via quivr-api +pyasn1==0.6.0 + # via pyasn1-modules + # via python-jose + # via rsa +pyasn1-modules==0.4.0 + # via google-auth +pycocotools==2.0.8 + # via effdet +pycparser==2.22 ; platform_python_implementation != 'PyPy' + # via cffi +pycryptodome==3.20.0 + # via megaparse +pydantic==2.8.2 + # via cohere + # via fastapi + # via gotrue + # via langchain + # via langchain-core + # via langsmith + # via litellm + # via llama-cloud + # via openai + # via postgrest + # via pydantic-settings + # via quivr-core + # via sqlmodel +pydantic-core==2.20.1 + # via cohere + # via pydantic +pydantic-settings==2.4.0 + # via quivr-api +pyee==11.1.0 + # via playwright +pygments==2.18.0 + # via rich +pyinstrument==4.7.2 + # via quivr-api +pyjwt==2.9.0 + # via msal +pymupdf==1.24.9 + # via pdf2docx +pymupdfb==1.24.9 + # via pymupdf +pypandoc==1.13 + # via unstructured +pyparsing==3.1.2 + # via httplib2 + # via matplotlib + # via unstructured-client +pypdf==4.3.1 + # via llama-index-readers-file + # via unstructured +pypdfium2==4.30.0 + # via pdfplumber +pyreadline3==3.4.1 ; sys_platform == 'win32' + # via humanfriendly +python-dateutil==2.9.0.post0 + # via botocore + # via celery + # via matplotlib + # via pandas + # via posthog + # via realtime + # via storage3 + # via unstructured-client +python-docx==1.1.2 + # via megaparse + # via pdf2docx + # via unstructured +python-dotenv==1.0.1 + # via litellm + # via megaparse + # via pydantic-settings + # via quivr-api + # via quivr-worker +python-iso639==2024.4.27 + # via unstructured +python-jose==3.3.0 + # via quivr-api +python-magic==0.4.27 + # via unstructured +python-multipart==0.0.9 + # via quivr-api + # via unstructured-inference +python-pptx==1.0.2 + # via megaparse + # via unstructured +pytz==2024.1 + # via flower + # via pandas +pywin32==306 ; platform_system == 'Windows' + # via portalocker +pyyaml==6.0.2 + # via huggingface-hub + # via langchain + # via langchain-community + # via langchain-core + # via layoutparser + # via llama-index-core + # via omegaconf + # via timm + # via transformers +rapidfuzz==3.9.6 + # via unstructured + # via unstructured-inference +realtime==2.0.2 + # via supabase +redis==5.0.8 + # via celery + # via quivr-api +referencing==0.35.1 + # via jsonschema + # via jsonschema-specifications +regex==2024.7.24 + # via nltk + # via tiktoken + # via transformers +requests==2.32.3 + # via cohere + # via dropbox + # via google-api-core + # via huggingface-hub + # via langchain + # via langchain-community + # via langsmith + # via litellm + # via llama-index-core + # via llama-index-legacy + # via msal + # via posthog + # via requests-oauthlib + # via resend + # via tiktoken + # via transformers + # via unstructured + # via unstructured-client +requests-oauthlib==2.0.0 + # via google-auth-oauthlib +resend==2.4.0 + # via quivr-api +rich==13.7.1 + # via quivr-core +rpds-py==0.20.0 + # via jsonschema + # via referencing +rsa==4.9 + # via google-auth + # via python-jose +s3transfer==0.10.2 + # via boto3 +safetensors==0.4.4 + # via timm + # via transformers +scipy==1.14.1 + # via layoutparser +sentry-sdk==2.13.0 + # via quivr-api +six==1.16.0 + # via dropbox + # via ecdsa + # via fire + # via langdetect + # via markdownify + # via posthog + # via python-dateutil + # via stone + # via unstructured-client +sniffio==1.3.1 + # via anyio + # via httpx + # via openai +soupsieve==2.6 + # via beautifulsoup4 +sqlalchemy==2.0.32 + # via langchain + # via langchain-community + # via llama-index-core + # via llama-index-legacy + # via sqlmodel +sqlmodel==0.0.21 + # via quivr-api +starlette==0.38.2 + # via fastapi +stone==3.3.1 + # via dropbox +storage3==0.7.7 + # via supabase +strenum==0.4.15 + # via postgrest +striprtf==0.0.26 + # via llama-index-readers-file +supabase==2.7.2 + # via quivr-api +supafunc==0.5.1 + # via supabase +sympy==1.12 + # via onnxruntime + # via torch +tabulate==0.9.0 + # via langchain-cohere + # via unstructured +tenacity==8.5.0 + # via langchain + # via langchain-community + # via langchain-core + # via llama-index-core + # via llama-index-legacy +termcolor==2.4.0 + # via fire +tiktoken==0.7.0 + # via langchain-openai + # via litellm + # via llama-index-core + # via llama-index-legacy + # via quivr-api + # via quivr-core +timm==1.0.8 + # via effdet + # via unstructured-inference +tokenizers==0.19.1 + # via cohere + # via litellm + # via transformers +torch==2.4.0 ; sys_platform == 'darwin' + # via effdet + # via quivr-worker + # via timm + # via torchvision + # via unstructured-inference +torch==2.4.0+cpu ; sys_platform != 'darwin' + # via effdet + # via quivr-worker + # via timm + # via torchvision + # via unstructured-inference +torchvision==0.19.0 ; sys_platform == 'darwin' + # via effdet + # via quivr-worker + # via timm +torchvision==0.19.0+cpu ; sys_platform != 'darwin' + # via effdet + # via quivr-worker + # via timm +tornado==6.4.1 + # via flower +tqdm==4.66.5 + # via huggingface-hub + # via iopath + # via llama-index-core + # via nltk + # via openai + # via transformers + # via unstructured +transformers==4.44.1 + # via unstructured-inference +types-requests==2.31.0.6 + # via cohere +types-urllib3==1.26.25.14 + # via types-requests +typing-extensions==4.12.2 + # via cohere + # via emoji + # via fastapi + # via huggingface-hub + # via iopath + # via langchain-core + # via llama-index-core + # via llama-index-legacy + # via openai + # via pydantic + # via pydantic-core + # via pyee + # via python-docx + # via python-pptx + # via realtime + # via resend + # via sqlalchemy + # via storage3 + # via torch + # via typing-inspect + # via unstructured + # via unstructured-client +typing-inspect==0.9.0 + # via dataclasses-json + # via llama-index-core + # via llama-index-legacy + # via unstructured-client +tzdata==2024.1 + # via celery + # via pandas +unidecode==1.3.8 + # via quivr-api +unstructured==0.15.7 + # via megaparse + # via quivr-core +unstructured-client==0.8.1 + # via unstructured +unstructured-inference==0.7.36 + # via unstructured +unstructured-pytesseract==0.3.13 + # via unstructured +uritemplate==4.1.1 + # via google-api-python-client +urllib3==1.26.13 + # via botocore + # via requests + # via sentry-sdk + # via unstructured-client +uvicorn==0.30.6 + # via quivr-api +uvloop==0.20.0 + # via quivr-api +vine==5.1.0 + # via amqp + # via celery + # via kombu +wcwidth==0.2.13 + # via prompt-toolkit +websockets==12.0 + # via realtime +wrapt==1.16.0 + # via deprecated + # via llama-index-core + # via unstructured +xlrd==2.0.1 + # via unstructured +xlsxwriter==3.2.0 + # via python-pptx +yarl==1.9.4 + # via aiohttp +zipp==3.20.0 + # via importlib-metadata diff --git a/backend/supabase/migrations/20240730091943_notion-sync.sql b/backend/supabase/migrations/20240730091943_notion-sync.sql new file mode 100644 index 000000000000..cc9e6dcd3180 --- /dev/null +++ b/backend/supabase/migrations/20240730091943_notion-sync.sql @@ -0,0 +1,40 @@ +create table "public"."notion_sync" ( + "id" UUID DEFAULT uuid_generate_v4() not null, + "notion_id" uuid not null, + "parent_id" uuid, + "is_folder" boolean, + "icon" text, + "last_modified" timestamp with time zone, + "web_view_link" text, + "type" text, + "name" text, + "mime_type" text, + "user_id" text +); +alter table "public"."notion_sync" enable row level security; +alter table "public"."syncs_active" +add column if not exists "notification_id" uuid; +CREATE UNIQUE INDEX notion_sync_pkey ON public.notion_sync USING btree (id, notion_id); +alter table "public"."notion_sync" +add constraint "notion_sync_pkey" PRIMARY KEY using index "notion_sync_pkey"; +grant delete on table "public"."notion_sync" to "anon"; +grant insert on table "public"."notion_sync" to "anon"; +grant references on table "public"."notion_sync" to "anon"; +grant select on table "public"."notion_sync" to "anon"; +grant trigger on table "public"."notion_sync" to "anon"; +grant truncate on table "public"."notion_sync" to "anon"; +grant update on table "public"."notion_sync" to "anon"; +grant delete on table "public"."notion_sync" to "authenticated"; +grant insert on table "public"."notion_sync" to "authenticated"; +grant references on table "public"."notion_sync" to "authenticated"; +grant select on table "public"."notion_sync" to "authenticated"; +grant trigger on table "public"."notion_sync" to "authenticated"; +grant truncate on table "public"."notion_sync" to "authenticated"; +grant update on table "public"."notion_sync" to "authenticated"; +grant delete on table "public"."notion_sync" to "service_role"; +grant insert on table "public"."notion_sync" to "service_role"; +grant references on table "public"."notion_sync" to "service_role"; +grant select on table "public"."notion_sync" to "service_role"; +grant trigger on table "public"."notion_sync" to "service_role"; +grant truncate on table "public"."notion_sync" to "service_role"; +grant update on table "public"."notion_sync" to "service_role"; \ No newline at end of file diff --git a/backend/supabase/migrations/20240807144533_notion-sync.sql b/backend/supabase/migrations/20240807144533_notion-sync.sql new file mode 100644 index 000000000000..77611c55fb13 --- /dev/null +++ b/backend/supabase/migrations/20240807144533_notion-sync.sql @@ -0,0 +1,27 @@ +alter table "public"."knowledge" drop column "extension"; + +alter table "public"."knowledge" drop column "integration"; + +alter table "public"."knowledge" drop column "integration_link"; + +alter table "public"."knowledge" add column "created_at" timestamp with time zone default now(); + +alter table "public"."knowledge" add column "file_sha" text; + +alter table "public"."knowledge" add column "file_size" bigint; + +alter table "public"."knowledge" add column "metadata" jsonb; + +alter table "public"."knowledge" add column "mime_type" text not null; + +alter table "public"."knowledge" add column "source" text default 'Local'::text; + +alter table "public"."knowledge" add column "source_link" text; + +alter table "public"."knowledge" add column "updated_at" timestamp with time zone default now(); + +CREATE UNIQUE INDEX notion_sync_notion_id_key ON public.notion_sync USING btree (notion_id); + +alter table "public"."notion_sync" add constraint "notion_sync_notion_id_key" UNIQUE using index "notion_sync_notion_id_key"; + + diff --git a/backend/supabase/migrations/20240808141057_knowledge_fix.sql b/backend/supabase/migrations/20240808141057_knowledge_fix.sql new file mode 100644 index 000000000000..ea64d7ffc9b0 --- /dev/null +++ b/backend/supabase/migrations/20240808141057_knowledge_fix.sql @@ -0,0 +1,6 @@ +alter table "public"."knowledge" drop column "file_sha"; + +alter table "public"."knowledge" add column "file_sha1" text; + + +CREATE INDEX knowledge_file_sha1_hash_idx ON knowledge USING hash (file_sha1); diff --git a/backend/supabase/migrations/20240814091741_notion-sync.sql b/backend/supabase/migrations/20240814091741_notion-sync.sql new file mode 100644 index 000000000000..d49ad9a0c6fa --- /dev/null +++ b/backend/supabase/migrations/20240814091741_notion-sync.sql @@ -0,0 +1,83 @@ +drop index if exists "public"."knowledge_file_sha1_hash_idx"; + +drop index if exists "public"."vectors_file_sha1_idx"; + +create table "public"."knowledge_brain" ( + "id" bigint generated by default as identity not null, + "created_at" timestamp with time zone not null default now(), + "knowledge_id" uuid, + "brain_id" uuid +); + + +alter table "public"."knowledge_brain" enable row level security; + +alter table "public"."vectors" drop column "file_sha1"; + +alter table "public"."vectors" add column "knowledge_id" uuid; + +alter table "public"."vectors" alter column "id" set default gen_random_uuid(); + +CREATE INDEX knowledge_brain_brain_id_idx ON public.knowledge_brain USING btree (brain_id); + +CREATE INDEX knowledge_brain_knowledge_id_idx ON public.knowledge_brain USING btree (knowledge_id); + +CREATE UNIQUE INDEX knowledge_brain_pkey ON public.knowledge_brain USING btree (id); + +CREATE INDEX vectors_knowledge_id_idx ON public.vectors USING btree (knowledge_id); + +alter table "public"."knowledge_brain" add constraint "knowledge_brain_pkey" PRIMARY KEY using index "knowledge_brain_pkey"; + +alter table "public"."knowledge_brain" add constraint "public_knowledge_brain_brain_id_fkey" FOREIGN KEY (brain_id) REFERENCES brains(brain_id) ON UPDATE CASCADE ON DELETE CASCADE not valid; + +alter table "public"."knowledge_brain" validate constraint "public_knowledge_brain_brain_id_fkey"; + +alter table "public"."knowledge_brain" add constraint "public_knowledge_brain_knowledge_id_fkey" FOREIGN KEY (knowledge_id) REFERENCES knowledge(id) ON UPDATE CASCADE ON DELETE CASCADE not valid; + +alter table "public"."knowledge_brain" validate constraint "public_knowledge_brain_knowledge_id_fkey"; + +alter table "public"."vectors" add constraint "public_vectors_knowledge_id_fkey" FOREIGN KEY (knowledge_id) REFERENCES knowledge(id) ON UPDATE CASCADE ON DELETE CASCADE not valid; + +alter table "public"."vectors" validate constraint "public_vectors_knowledge_id_fkey"; + +grant delete on table "public"."knowledge_brain" to "anon"; + +grant insert on table "public"."knowledge_brain" to "anon"; + +grant references on table "public"."knowledge_brain" to "anon"; + +grant select on table "public"."knowledge_brain" to "anon"; + +grant trigger on table "public"."knowledge_brain" to "anon"; + +grant truncate on table "public"."knowledge_brain" to "anon"; + +grant update on table "public"."knowledge_brain" to "anon"; + +grant delete on table "public"."knowledge_brain" to "authenticated"; + +grant insert on table "public"."knowledge_brain" to "authenticated"; + +grant references on table "public"."knowledge_brain" to "authenticated"; + +grant select on table "public"."knowledge_brain" to "authenticated"; + +grant trigger on table "public"."knowledge_brain" to "authenticated"; + +grant truncate on table "public"."knowledge_brain" to "authenticated"; + +grant update on table "public"."knowledge_brain" to "authenticated"; + +grant delete on table "public"."knowledge_brain" to "service_role"; + +grant insert on table "public"."knowledge_brain" to "service_role"; + +grant references on table "public"."knowledge_brain" to "service_role"; + +grant select on table "public"."knowledge_brain" to "service_role"; + +grant trigger on table "public"."knowledge_brain" to "service_role"; + +grant truncate on table "public"."knowledge_brain" to "service_role"; + +grant update on table "public"."knowledge_brain" to "service_role"; diff --git a/backend/supabase/seed.sql b/backend/supabase/seed.sql index 1d1c90ade6bb..72098be7c61f 100644 --- a/backend/supabase/seed.sql +++ b/backend/supabase/seed.sql @@ -221,20 +221,6 @@ INSERT INTO "public"."users" ("id", "email", "onboarded") VALUES -- Data for Name: integrations_user; Type: TABLE DATA; Schema: public; Owner: postgres -- - - --- --- Data for Name: knowledge; Type: TABLE DATA; Schema: public; Owner: postgres --- - -INSERT INTO "public"."knowledge" ("id", "file_name", "url", "brain_id", "extension", "integration", "integration_link") VALUES - ('a1f7420e-f894-40a5-aaf2-3aa02b128ef4', 'test.txt', NULL, '40ba47d7-51b2-4b2a-9247-89e29619efb0', '.txt', NULL, NULL), - ('d94d6205-cf72-45f7-b580-76d87df9c90f', 'Quivr W24 Demo Day Slide1221.txt', NULL, '40ba47d7-51b2-4b2a-9247-89e29619efb0', '.txt', NULL, NULL), - ('855af53d-41e0-4a06-af5d-e75c377cd436', 'Quivr W24 Demo Day Slide1707.txt', NULL, '40ba47d7-51b2-4b2a-9247-89e29619efb0', '.txt', NULL, NULL), - ('a4d2bfdb-e2c4-442f-8814-4d7107340848', 'Quivr W24 Demo Day Slide_summary_9655.txt', NULL, '40ba47d7-51b2-4b2a-9247-89e29619efb0', '.txt', NULL, NULL), - ('fd71bc4b-a85b-400e-8e87-b84480c72bb6', 'Facture Pony Express Studio.pdf', NULL, '40ba47d7-51b2-4b2a-9247-89e29619efb0', '.pdf', NULL, NULL); - - -- -- Data for Name: models; Type: TABLE DATA; Schema: public; Owner: postgres -- diff --git a/backend/worker/.gitignore b/backend/worker/.gitignore new file mode 100644 index 000000000000..ae8554dec420 --- /dev/null +++ b/backend/worker/.gitignore @@ -0,0 +1,10 @@ +# python generated files +__pycache__/ +*.py[oc] +build/ +dist/ +wheels/ +*.egg-info + +# venv +.venv diff --git a/backend/worker/.python-version b/backend/worker/.python-version new file mode 100644 index 000000000000..2419ad5b0a32 --- /dev/null +++ b/backend/worker/.python-version @@ -0,0 +1 @@ +3.11.9 diff --git a/backend/worker/Dockerfile b/backend/worker/Dockerfile new file mode 100644 index 000000000000..9d49a746634e --- /dev/null +++ b/backend/worker/Dockerfile @@ -0,0 +1,55 @@ +FROM python:3.11.6-slim-bullseye AS BUILDER + +ARG DEV_MODE +ENV DEV_MODE=$DEV_MODE + +# Install GEOS library, Rust, and other dependencies, then clean up +RUN apt-get clean && apt-get update && apt-get install -y \ + libgeos-dev \ + libcurl4-openssl-dev \ + libssl-dev \ + binutils \ + curl \ + git \ + gcc \ + autoconf \ + automake \ + build-essential \ + libtool \ + python-dev \ + wget \ + # Additional dependencies for document handling + libmagic-dev \ + tesseract-ocr \ + poppler-utils \ + tesseract-ocr \ + libreoffice \ + libpq-dev \ + pandoc && \ + rm -rf /var/lib/apt/lists/* + +RUN curl -sSL https://install.python-poetry.org | POETRY_HOME=/opt/poetry python && \ + cd /usr/local/bin && \ + ln -s /opt/poetry/bin/poetry && \ + poetry config virtualenvs.create false + +WORKDIR /code/worker +# Add Rust binaries to the PATH +ENV PATH="/root/.cargo/bin:${PATH}" \ + POETRY_CACHE_DIR=/tmp/poetry_cache \ + PYTHONDONTWRITEBYTECODE=1 \ + POETRY_VIRTUALENVS_PATH=/code/worker/.venv-docker + +COPY . /code/ + + + +# Cache playwright dependency +RUN poetry run pip install playwright && playwright install --with-deps + +# Run install +RUN poetry install && rm -rf $POETRY_CACHE_DIR + +RUN poetry run python -c "from unstructured.nlp.tokenize import download_nltk_packages; download_nltk_packages()" + +ENV PYTHONPATH=/code/worker diff --git a/backend/worker/Dockerfile.dev b/backend/worker/Dockerfile.dev new file mode 100644 index 000000000000..a5f9848dc346 --- /dev/null +++ b/backend/worker/Dockerfile.dev @@ -0,0 +1,55 @@ +FROM python:3.11.6-slim-bullseye AS BUILDER + +ARG DEV_MODE +ENV DEV_MODE=$DEV_MODE + +RUN apt-get clean && apt-get update && apt-get install -y \ + libgeos-dev \ + libcurl4-openssl-dev \ + libssl-dev \ + binutils \ + curl \ + git \ + gcc \ + autoconf \ + automake \ + build-essential \ + libtool \ + python-dev \ + wget \ + # Additional dependencies for document handling + libmagic-dev \ + tesseract-ocr \ + poppler-utils \ + tesseract-ocr \ + libreoffice \ + libpq-dev \ + pandoc && \ + rm -rf /var/lib/apt/lists/* + +RUN curl -sSL https://install.python-poetry.org | POETRY_HOME=/opt/poetry python && \ + cd /usr/local/bin && \ + ln -s /opt/poetry/bin/poetry && \ + poetry config virtualenvs.create false + +WORKDIR /code/worker +# Add Rust binaries to the PATH +ENV PATH="/root/.cargo/bin:${PATH}" \ + POETRY_CACHE_DIR=/tmp/poetry_cache \ + PYTHONDONTWRITEBYTECODE=1 \ + POETRY_VIRTUALENVS_PATH=/code/worker/.venv-docker + +ENV PYTHONPATH=/code/worker + + +# WORKER +COPY worker/pyproject.toml worker/poetry.lock* /code/worker/ + +# Cache playwright dependency +RUN poetry run pip install playwright && playwright install --with-deps +# Run install +RUN poetry install --no-directory --no-root --with dev,test && \ + rm -rf $POETRY_CACHE_DIR + +RUN poetry run python -c "from unstructured.nlp.tokenize import download_nltk_packages; download_nltk_packages()" +RUN poetry run python -c "import nltk;nltk.download('punkt_tab'); nltk.download('averaged_perceptron_tagger_eng')" \ No newline at end of file diff --git a/backend/worker/README.md b/backend/worker/README.md new file mode 100644 index 000000000000..cd2b3d4e09be --- /dev/null +++ b/backend/worker/README.md @@ -0,0 +1 @@ +# quivr-worker package diff --git a/backend/worker/pyproject.toml b/backend/worker/pyproject.toml new file mode 100644 index 000000000000..4e16fbff52dc --- /dev/null +++ b/backend/worker/pyproject.toml @@ -0,0 +1,49 @@ +[project] +name = "quivr-worker" +version = "0.1.0" +description = "Add your description here" +authors = [ + { name = "Stan Girard", email = "stan@quivr.app" } +] +dependencies = [ + "quivr-core[all]", + "quivr-api", + "celery[redis]>=5.0.0", + "python-dotenv>=1.0.0", + "playwright>=1.0.0", + "openai>=1.0.0", + "flower>=2.0.1", + "torch==2.4.0+cpu; sys_platform != 'darwin'", # For Linux + "torch==2.4.0; sys_platform == 'darwin'", # For macOS + "torchvision==0.19.0+cpu; sys_platform != 'darwin'", # For Linux + "torchvision==0.19.0; sys_platform == 'darwin'", # For macOS +] +readme = "README.md" +requires-python = ">= 3.11" + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.rye] +managed = true +dev-dependencies = [ +] + +[tool.hatch.metadata] +allow-direct-references = true + +[tool.hatch.build.targets.wheel] +packages = ["quivr_worker"] + +[[tool.rye.sources]] +name = "pytorch" +url = "https://download.pytorch.org/whl/cpu" + +[[tool.rye.sources]] +name = "quivr-core" +path = "../quivr-core" + +[[tool.rye.sources]] +name = "quivr-api" +path = "../quivr-api" diff --git a/backend/api/quivr_api/packages/__init__.py b/backend/worker/quivr_worker/__init__.py similarity index 100% rename from backend/api/quivr_api/packages/__init__.py rename to backend/worker/quivr_worker/__init__.py diff --git a/backend/worker/quivr_worker/celery_monitor.py b/backend/worker/quivr_worker/celery_monitor.py new file mode 100644 index 000000000000..50bd25deecc1 --- /dev/null +++ b/backend/worker/quivr_worker/celery_monitor.py @@ -0,0 +1,155 @@ +import asyncio +import threading +from enum import Enum +from queue import Queue +from uuid import UUID + +from attr import dataclass +from celery.result import AsyncResult +from quivr_api.celery_config import celery +from quivr_api.logger import get_logger +from quivr_api.modules.dependencies import async_engine +from quivr_api.modules.knowledge.repository.knowledges import \ + KnowledgeRepository +from quivr_api.modules.knowledge.service.knowledge_service import \ + KnowledgeService +from quivr_api.modules.notification.dto.inputs import \ + NotificationUpdatableProperties +from quivr_api.modules.notification.entity.notification import \ + NotificationsStatusEnum +from quivr_api.modules.notification.service.notification_service import \ + NotificationService +from quivr_core.models import KnowledgeStatus +from sqlmodel.ext.asyncio.session import AsyncSession + +logger = get_logger("notifier_service", "notifier_service.log") +notification_service = NotificationService() +queue = Queue() + + +class TaskStatus(str, Enum): + FAILED = "task-failed" + SUCCESS = "task-succeeded" + + +class TaskIdentifier(str, Enum): + PROCESS_FILE_TASK = "process_file_task" + PROCESS_CRAWL_TASK = "process_crawl_and_notify" + + +@dataclass +class TaskEvent: + task_id: str + task_name: TaskIdentifier + notification_id: str + knowledge_id: UUID + status: TaskStatus + + +async def handler_loop(): + session = AsyncSession(async_engine, expire_on_commit=False, autoflush=False) + knowledge_service = KnowledgeService(KnowledgeRepository(session)) + + logger.info("Initialized knowledge_service. Listening to task event...") + while True: + event: TaskEvent = queue.get() + if event.status == TaskStatus.FAILED: + logger.error( + f"task {event.task_id} process_file_task. Sending notifition {event.notification_id}" + ) + notification_service.update_notification_by_id( + event.notification_id, + NotificationUpdatableProperties( + status=NotificationsStatusEnum.ERROR, + description=( + "An error occurred while processing the file" + if event.task_name == TaskIdentifier.PROCESS_FILE_TASK + else "An error occurred while processing the URL" + ), + ), + ) + logger.error( + f"task {event.task_id} process_file_task failed. Updating knowledge {event.knowledge_id} to Error" + ) + if event.knowledge_id: + await knowledge_service.update_status_knowledge( + event.knowledge_id, KnowledgeStatus.ERROR + ) + logger.error( + f"task {event.task_id} process_file_task . Updating knowledge {event.knowledge_id} status to Error" + ) + + if event.status == TaskStatus.SUCCESS: + logger.info( + f"task {event.task_id} process_file_task succeeded. Sending notification {event.notification_id}" + ) + notification_service.update_notification_by_id( + event.notification_id, + NotificationUpdatableProperties( + status=NotificationsStatusEnum.SUCCESS, + description=( + "Your file has been properly uploaded!" + if event.task_name == TaskIdentifier.PROCESS_FILE_TASK + else "Your URL has been properly crawled!" + ), + ), + ) + if event.knowledge_id: + await knowledge_service.update_status_knowledge( + event.knowledge_id, KnowledgeStatus.UPLOADED + ) + logger.info( + f"task {event.task_id} process_file_task failed. Updating knowledge {event.knowledge_id} to UPLOADED" + ) + + +def notifier(app): + state = app.events.State() + + def handle_task_event(event): + try: + state.event(event) + task = state.tasks.get(event["uuid"]) + task_result = AsyncResult(task.id, app=app) + task_name, task_kwargs = task_result.name, task_result.kwargs + + if ( + task_name == "process_file_task" + or task_name == "process_crawl_and_notify" + ): + logger.debug(f"Received Event : {task} - {task_name} {task_kwargs} ") + notification_id = task_kwargs["notification_id"] + knowledge_id = task_kwargs.get("knowledge_id", None) + event = TaskEvent( + task_id=task, + task_name=TaskIdentifier(task_name), + knowledge_id=knowledge_id, + notification_id=notification_id, + status=TaskStatus(event["type"]), + ) + queue.put(event) + + except Exception as e: + logger.exception(f"handling event {event} raised exception: {e}") + + with app.connection() as connection: + recv = app.events.Receiver( + connection, + handlers={ + "task-failed": handle_task_event, + "task-succeeded": handle_task_event, + }, + ) + recv.capture(limit=None, timeout=None, wakeup=True) + + +if __name__ == "__main__": + logger.info("Started quivr-notifier service...") + + def start_handler(): + asyncio.run(handler_loop()) + + thread = threading.Thread(target=start_handler, daemon=True) + thread.start() + + notifier(celery) diff --git a/backend/worker/quivr_worker/celery_worker.py b/backend/worker/quivr_worker/celery_worker.py new file mode 100644 index 000000000000..a1323958a9fd --- /dev/null +++ b/backend/worker/quivr_worker/celery_worker.py @@ -0,0 +1,304 @@ +import asyncio +import os +from uuid import UUID + +from celery.schedules import crontab +from celery.signals import worker_process_init +from dotenv import load_dotenv +from quivr_api.celery_config import celery +from quivr_api.logger import get_logger +from quivr_api.models.settings import settings +from quivr_api.modules.brain.integrations.Notion.Notion_connector import NotionConnector +from quivr_api.modules.brain.repository.brains_vectors import BrainsVectors +from quivr_api.modules.brain.service.brain_service import BrainService +from quivr_api.modules.brain.service.brain_vector_service import BrainVectorService +from quivr_api.modules.dependencies import get_supabase_client +from quivr_api.modules.knowledge.repository.storage import Storage +from quivr_api.modules.notification.service.notification_service import ( + NotificationService, +) +from quivr_api.modules.sync.repository.sync_files import SyncFilesRepository +from quivr_api.modules.sync.service.sync_notion import SyncNotionService +from quivr_api.modules.sync.service.sync_service import SyncService, SyncUserService +from quivr_api.utils.telemetry import maybe_send_telemetry +from quivr_api.vector.repository.vectors_repository import VectorRepository +from quivr_api.vector.service.vector_service import VectorService +from sqlalchemy import Engine, create_engine +from sqlalchemy.ext.asyncio import AsyncEngine, create_async_engine +from sqlmodel import Session + +from quivr_worker.check_premium import check_is_premium +from quivr_worker.process.process_s3_file import process_uploaded_file +from quivr_worker.process.process_url import process_url_func +from quivr_worker.syncs.process_active_syncs import ( + SyncServices, + process_all_active_syncs, + process_notion_sync, + process_sync, +) +from quivr_worker.syncs.store_notion import fetch_and_store_notion_files_async +from quivr_worker.utils import _patch_json + +load_dotenv() + +get_logger("quivr_core") +logger = get_logger("celery_worker") +_patch_json() + + +# FIXME: load at init time +# Services +supabase_client = get_supabase_client() +# document_vector_store = get_documents_vector_store() +notification_service = NotificationService() +sync_active_service = SyncService() +sync_user_service = SyncUserService() +sync_files_repo_service = SyncFilesRepository() +brain_service = BrainService() +brain_vectors = BrainsVectors() +storage = Storage() +notion_service: SyncNotionService | None = None +async_engine: AsyncEngine | None = None +engine: Engine | None = None + + +@worker_process_init.connect +def init_worker(**kwargs): + global async_engine + global engine + if not async_engine: + async_engine = create_async_engine( + settings.pg_database_async_url, + echo=True if os.getenv("ORM_DEBUG") else False, + future=True, + # NOTE: pessimistic bound on + pool_pre_ping=True, + pool_size=10, # NOTE: no bouncer for now, if 6 process workers => 6 + pool_recycle=1800, + ) + + if not engine: + engine = create_engine( + settings.pg_database_url, + echo=True if os.getenv("ORM_DEBUG") else False, + future=True, + # NOTE: pessimistic bound on + pool_pre_ping=True, + pool_size=10, # NOTE: no bouncer for now, if 6 process workers => 6 + pool_recycle=1800, + ) + + +@celery.task( + retries=3, + default_retry_delay=1, + name="process_file_task", + autoretry_for=(Exception,), +) +def process_file_task( + file_name: str, + file_original_name: str, + brain_id: UUID, + notification_id: UUID, + knowledge_id: UUID, + source: str | None = None, + source_link: str | None = None, + delete_file: bool = False, +): + if async_engine is None: + init_worker() + + logger.info( + f"Task process_file started for file_name={file_name}, knowledge_id={knowledge_id}, brain_id={brain_id}, notification_id={notification_id}" + ) + + loop = asyncio.get_event_loop() + loop.run_until_complete( + aprocess_file_task( + file_name=file_name, + file_original_name=file_original_name, + brain_id=brain_id, + notification_id=notification_id, + knowledge_id=knowledge_id, + source=source, + source_link=source_link, + delete_file=delete_file, + ) + ) + + +async def aprocess_file_task( + file_name: str, + file_original_name: str, + brain_id: UUID, + notification_id: UUID, + knowledge_id: UUID, + source: str | None = None, + source_link: str | None = None, + delete_file: bool = False, +): + global engine + assert engine + with Session(engine, expire_on_commit=False, autoflush=False) as session: + vector_repository = VectorRepository(session) + vector_service = VectorService(vector_repository) + brain_vector_service = BrainVectorService(brain_id) + + await process_uploaded_file( + supabase_client=supabase_client, + brain_service=brain_service, + brain_vector_service=brain_vector_service, + vector_service=vector_service, + file_name=file_name, + brain_id=brain_id, + file_original_name=file_original_name, + knowledge_id=knowledge_id, + integration=source, + integration_link=source_link, + delete_file=delete_file, + ) + + +@celery.task( + retries=3, + default_retry_delay=1, + name="process_crawl_and_notify", + autoretry_for=(Exception,), +) +async def process_crawl_task( + crawl_website_url: str, + brain_id: UUID, + knowledge_id: UUID, + notification_id: UUID | None = None, +): + logger.info( + f"Task process_crawl_task started for url={crawl_website_url}, knowledge_id={knowledge_id}, brain_id={brain_id}, notification_id={notification_id}" + ) + global engine + assert engine + with Session(engine, expire_on_commit=False, autoflush=False) as session: + brain_vector_service = BrainVectorService(brain_id) + vector_repository = VectorRepository(session) + vector_service = VectorService(vector_repository) + loop = asyncio.get_event_loop() + loop.run_until_complete( + process_url_func( + url=crawl_website_url, + brain_id=brain_id, + knowledge_id=knowledge_id, + brain_service=brain_service, + brain_vector_service=brain_vector_service, + vector_service=vector_service, + ) + ) + + +@celery.task(name="NotionConnectorLoad") +def process_integration_brain_created_initial_load(brain_id, user_id): + notion_connector = NotionConnector(brain_id=brain_id, user_id=user_id) + pages = notion_connector.load() + logger.info("Notion pages: ", len(pages)) + + +@celery.task +def process_integration_brain_sync_user_brain(brain_id, user_id): + notion_connector = NotionConnector(brain_id=brain_id, user_id=user_id) + notion_connector.poll() + + +@celery.task +def ping_telemetry(): + maybe_send_telemetry("ping", {"ping": "pong"}) + + +@celery.task(name="check_is_premium_task") +def check_is_premium_task(): + check_is_premium(supabase_client) + + +@celery.task(name="process_sync_task") +def process_sync_task( + sync_id: int, user_id: str, files_ids: list[str], folder_ids: list[str] +): + global async_engine + assert async_engine + sync = next( + filter(lambda s: s.id == sync_id, sync_active_service.get_syncs_active(user_id)) + ) + loop = asyncio.get_event_loop() + loop.run_until_complete( + process_sync( + sync=sync, + files_ids=files_ids, + folder_ids=folder_ids, + services=SyncServices( + async_engine=async_engine, + sync_active_service=sync_active_service, + sync_user_service=sync_user_service, + sync_files_repo_service=sync_files_repo_service, + storage=storage, + brain_vectors=brain_vectors, + notification_service=notification_service, + ), + ) + ) + + +@celery.task(name="process_active_syncs_task") +def process_active_syncs_task(): + global async_engine + assert async_engine + loop = asyncio.get_event_loop() + loop.run_until_complete( + process_all_active_syncs( + SyncServices( + async_engine=async_engine, + sync_active_service=sync_active_service, + sync_user_service=sync_user_service, + sync_files_repo_service=sync_files_repo_service, + storage=storage, + brain_vectors=brain_vectors, + notification_service=notification_service, + ), + ) + ) + + +@celery.task(name="process_notion_sync_task") +def process_notion_sync_task(): + global async_engine + assert async_engine + loop = asyncio.get_event_loop() + loop.run_until_complete(process_notion_sync(async_engine)) + + +@celery.task(name="fetch_and_store_notion_files_task") +def fetch_and_store_notion_files_task(access_token: str, user_id: UUID): + if async_engine is None: + init_worker() + assert async_engine + logger.debug("Fetching and storing Notion files") + loop = asyncio.get_event_loop() + loop.run_until_complete( + fetch_and_store_notion_files_async(async_engine, access_token, user_id) + ) + + +celery.conf.beat_schedule = { + "ping_telemetry": { + "task": f"{__name__}.ping_telemetry", + "schedule": crontab(minute="*/30", hour="*"), + }, + "process_active_syncs": { + "task": "process_active_syncs_task", + "schedule": crontab(minute="*/1", hour="*"), + }, + "process_premium_users": { + "task": "check_is_premium_task", + "schedule": crontab(minute="*/1", hour="*"), + }, + "process_notion_sync": { + "task": "process_notion_sync_task", + "schedule": crontab(minute="0", hour="*/6"), + }, +} diff --git a/backend/worker/quivr_worker/check_premium.py b/backend/worker/quivr_worker/check_premium.py new file mode 100644 index 000000000000..607449f91cb5 --- /dev/null +++ b/backend/worker/quivr_worker/check_premium.py @@ -0,0 +1,141 @@ +import os +from datetime import datetime, timedelta + +from postgrest.exceptions import APIError +from pytz import timezone +from quivr_api.logger import get_logger +from supabase import Client + +logger = get_logger("celery_worker") + + +# TODO: Remove all this code and use Stripe Webhooks +def check_is_premium(supabase_client: Client): + if os.getenv("DEACTIVATE_STRIPE") == "true": + logger.info("Stripe deactivated, skipping check for premium users") + return True + + paris_tz = timezone("Europe/Paris") + current_time = datetime.now(paris_tz) + current_time_str = current_time.strftime("%Y-%m-%d %H:%M:%S.%f") + logger.debug(f"Current time: {current_time_str}") + + # Define the memoization period (e.g., 1 hour) + memoization_period = timedelta(hours=1) + memoization_cutoff = current_time - memoization_period + + # Fetch all necessary data in bulk + try: + subscriptions = ( + supabase_client.table("subscriptions") + .select("*") + .filter("current_period_end", "gt", current_time_str) + .execute() + ).data + except APIError as e: + logger.error(f"Error fetching subscribtions : {e}") + return + + customers = (supabase_client.table("customers").select("*").execute()).data + + customer_emails = [customer["email"] for customer in customers] + + # Split customer emails into batches of 50 + email_batches = [ + customer_emails[i : i + 20] for i in range(0, len(customer_emails), 20) + ] + + users = [] + for email_batch in email_batches: + batch_users = ( + supabase_client.table("users") + .select("id, email") + .in_("email", email_batch) + .execute() + ).data + users.extend(batch_users) + + product_features = ( + supabase_client.table("product_to_features").select("*").execute() + ).data + + user_settings = (supabase_client.table("user_settings").select("*").execute()).data + + # Create lookup dictionaries for faster access + user_dict = {user["email"]: user["id"] for user in users} + customer_dict = {customer["id"]: customer for customer in customers} + product_dict = { + product["stripe_product_id"]: product for product in product_features + } + settings_dict = {setting["user_id"]: setting for setting in user_settings} + + # Process subscriptions and update user settings + premium_user_ids = set() + settings_to_upsert = {} + for sub in subscriptions: + logger.info(f"Subscription {sub['id']}") + if sub["attrs"]["status"] != "active" and sub["attrs"]["status"] != "trialing": + logger.info(f"Subscription {sub['id']} is not active or trialing") + continue + + customer = customer_dict.get(sub["customer"]) + if not customer: + logger.info(f"No customer found for subscription: {sub['customer']}") + continue + + user_id = user_dict.get(customer["email"]) + if not user_id: + logger.info(f"No user found for customer: {customer['email']}") + continue + + current_settings = settings_dict.get(user_id, {}) + last_check = current_settings.get("last_stripe_check") + + # Skip if the user was checked recently + if last_check and datetime.fromisoformat(last_check) > memoization_cutoff: + premium_user_ids.add(user_id) + logger.info(f"User {user_id} was checked recently") + continue + + user_id = str(user_id) # Ensure user_id is a string + premium_user_ids.add(user_id) + + product_id = sub["attrs"]["items"]["data"][0]["plan"]["product"] + product = product_dict.get(product_id) + if not product: + logger.warning(f"No matching product found for subscription: {sub['id']}") + continue + + settings_to_upsert[user_id] = { + "user_id": user_id, + "max_brains": product["max_brains"], + "max_brain_size": product["max_brain_size"], + "monthly_chat_credit": product["monthly_chat_credit"], + "api_access": product["api_access"], + "models": product["models"], + "is_premium": True, + "last_stripe_check": current_time_str, + } + logger.info(f"Upserting settings for user {user_id}") + + # Bulk upsert premium user settings in batches of 10 + settings_list = list(settings_to_upsert.values()) + logger.info(f"Upserting {len(settings_list)} settings") + for i in range(0, len(settings_list), 10): + batch = settings_list[i : i + 10] + supabase_client.table("user_settings").upsert(batch).execute() + + # Delete settings for non-premium users in batches of 10 + settings_to_delete = [ + setting["user_id"] + for setting in user_settings + if setting["user_id"] not in premium_user_ids and setting.get("is_premium") + ] + for i in range(0, len(settings_to_delete), 10): + batch = settings_to_delete[i : i + 10] + supabase_client.table("user_settings").delete().in_("user_id", batch).execute() + + logger.info( + f"Updated {len(settings_to_upsert)} premium users, deleted settings for {len(settings_to_delete)} non-premium users" + ) + return True diff --git a/backend/worker/quivr_worker/files.py b/backend/worker/quivr_worker/files.py new file mode 100644 index 000000000000..4820c0dcb5c6 --- /dev/null +++ b/backend/worker/quivr_worker/files.py @@ -0,0 +1,111 @@ +import hashlib +import time +from contextlib import contextmanager +from pathlib import Path +from tempfile import NamedTemporaryFile +from typing import Any +from uuid import UUID + +from quivr_api.logger import get_logger +from quivr_core.files.file import FileExtension, QuivrFile + +from quivr_worker.utils import get_tmp_name + +logger = get_logger("celery_worker") + + +def compute_sha1(content: bytes): + readable_hash = hashlib.sha1(content).hexdigest() + return readable_hash + + +@contextmanager +def build_file( + file_data: bytes, + knowledge_id: UUID, + file_name: str, + original_file_name: str | None = None, +): + try: + # FIXME: @chloedia @AmineDiro + # We should decide if these checks should happen at API level or Worker level + # These checks should use Knowledge table (where we should store knowledge sha1) + # file_exists = file_already_exists() + # file_exists_in_brain = file_already_exists_in_brain(brain.brain_id) + # TODO(@aminediro) : Maybe use fsspec file to be agnostic to where files are stored :? + # We are reading the whole file to memory, which doesn't scale + tmp_name, base_file_name, file_extension = get_tmp_name(file_name) + tmp_file = NamedTemporaryFile( + suffix="_" + tmp_name, # pyright: ignore reportPrivateUsage=none + ) + + file_sha1 = compute_sha1(file_data) + tmp_file.write(file_data) + tmp_file.flush() + + file_instance = File( + knowledge_id=knowledge_id, + file_name=base_file_name, + original_file_name=( + original_file_name if original_file_name else base_file_name + ), + tmp_file_path=Path(tmp_file.name), + file_size=len(file_data), + file_extension=file_extension, + file_sha1=file_sha1, + ) + yield file_instance + finally: + # Code to release resource, e.g.: + tmp_file.close() + + +class File: + __slots__ = [ + "id", + "file_name", + "tmp_file_path", + "file_size", + "file_extension", + "file_sha1", + "original_file_name", + ] + + def __init__( + self, + knowledge_id: UUID, + file_name: str, + tmp_file_path: Path, + file_size: int, + file_extension: str, + file_sha1: str, + original_file_name: str, + ): + self.id = knowledge_id + self.file_name = file_name + self.tmp_file_path = tmp_file_path + self.file_size = file_size + self.file_sha1 = file_sha1 + self.file_extension = FileExtension(file_extension) + self.original_file_name = original_file_name + + def is_empty(self): + return self.file_size < 1 # pyright: ignore reportPrivateUsage=none + + def to_qfile(self, brain_id: UUID, metadata: dict[str, Any] = {}) -> QuivrFile: + return QuivrFile( + id=self.id, + original_filename=self.file_name, + path=self.tmp_file_path, + brain_id=brain_id, + file_sha1=self.file_sha1, + file_extension=self.file_extension, + file_size=self.file_size, + metadata={ + "date": time.strftime("%Y%m%d"), + "file_name": self.file_name, + "original_file_name": self.original_file_name, + "knowledge_id": self.id, + **metadata, + }, + ) diff --git a/backend/api/quivr_api/packages/emails/__init__.py b/backend/worker/quivr_worker/parsers/__init__.py similarity index 100% rename from backend/api/quivr_api/packages/emails/__init__.py rename to backend/worker/quivr_worker/parsers/__init__.py diff --git a/backend/worker/quivr_worker/parsers/audio.py b/backend/worker/quivr_worker/parsers/audio.py new file mode 100644 index 000000000000..533357e28080 --- /dev/null +++ b/backend/worker/quivr_worker/parsers/audio.py @@ -0,0 +1,44 @@ +import time + +from langchain.schema import Document +from langchain.text_splitter import RecursiveCharacterTextSplitter +from openai import OpenAI + +from quivr_worker.files import File, compute_sha1 + + +def process_audio(file: File, model: str = "whisper=1"): + # TODO(@aminediro): These should apear in the class processor + # Should be instanciated once per Processor + chunk_size = 500 + chunk_overlap = 0 + text_splitter = RecursiveCharacterTextSplitter.from_tiktoken_encoder( + chunk_size=chunk_size, chunk_overlap=chunk_overlap + ) + client = OpenAI() + + dateshort = time.strftime("%Y%m%d-%H%M%S") + file_meta_name = f"audiotranscript_{dateshort}.txt" + with open(file.tmp_file_path, "rb") as audio_file: + transcript = client.audio.transcriptions.create(model=model, file=audio_file) + transcript_txt = transcript.text.encode("utf-8") + + file_size, file_sha1 = len(transcript_txt), compute_sha1(transcript_txt) + texts = text_splitter.split_text(transcript.text) + + docs_with_metadata = [ + Document( + page_content=text, + metadata={ + "file_sha1": file_sha1, + "file_size": file_size, + "file_name": file_meta_name, + "chunk_size": chunk_size, + "chunk_overlap": chunk_overlap, + "date": dateshort, + }, + ) + for text in texts + ] + + return docs_with_metadata diff --git a/backend/worker/quivr_worker/parsers/crawler.py b/backend/worker/quivr_worker/parsers/crawler.py new file mode 100644 index 000000000000..d29a9318c4f8 --- /dev/null +++ b/backend/worker/quivr_worker/parsers/crawler.py @@ -0,0 +1,37 @@ +import os +import re +import unicodedata + +from langchain_community.document_loaders import PlaywrightURLLoader +from pydantic import BaseModel +from quivr_api.logger import get_logger + +logger = get_logger("celery_worker") + + +class URL(BaseModel): + url: str + js: bool = False + depth: int = int(os.getenv("CRAWL_DEPTH", "1")) + max_pages: int = 100 + max_time: int = 60 + + +def extract_from_url(url: URL) -> str: + # Extract and combine content recursively + loader = PlaywrightURLLoader(urls=[url.url], remove_selectors=["header", "footer"]) + + data = loader.load() + # Now turn the data into a string + logger.info(f"Extracted content from {len(data)} pages") + extracted_content = "" + for page in data: + extracted_content += page.page_content + return extracted_content + + +def slugify(text): + text = unicodedata.normalize("NFKD", text).encode("ascii", "ignore").decode("utf-8") + text = re.sub(r"[^\w\s-]", "", text).strip().lower() + text = re.sub(r"[-\s]+", "-", text) + return text diff --git a/backend/api/quivr_api/packages/embeddings/__init__.py b/backend/worker/quivr_worker/process/__init__.py similarity index 100% rename from backend/api/quivr_api/packages/embeddings/__init__.py rename to backend/worker/quivr_worker/process/__init__.py diff --git a/backend/worker/quivr_worker/process/process_file.py b/backend/worker/quivr_worker/process/process_file.py new file mode 100644 index 000000000000..33dcadb2676b --- /dev/null +++ b/backend/worker/quivr_worker/process/process_file.py @@ -0,0 +1,120 @@ +from typing import Any +from uuid import UUID + +from langchain_core.documents import Document +from quivr_api.logger import get_logger +from quivr_api.modules.brain.entity.brain_entity import BrainEntity +from quivr_api.modules.brain.service.brain_service import BrainService +from quivr_api.modules.brain.service.brain_vector_service import \ + BrainVectorService +from quivr_api.vector.service.vector_service import VectorService +from quivr_core.processor.registry import get_processor_class +from quivr_worker.files import File +from quivr_worker.parsers.audio import process_audio + +logger = get_logger("celery_worker") + +# TODO: remove global +audio_extensions = { + ".m4a", + ".mp3", + ".webm", + ".mp4", + ".mpga", + ".wav", + ".mpeg", +} + + +async def process_file( + file_instance: File, + brain: BrainEntity, + brain_service: BrainService, + brain_vector_service: BrainVectorService, + vector_service: VectorService, + integration: str | None, + integration_link: str | None, +): + chunks = await parse_file( + file=file_instance, + brain=brain, + integration=integration, + integration_link=integration_link, + ) + store_chunks( + file=file_instance, + brain_id=brain.brain_id, + chunks=chunks, + brain_service=brain_service, + brain_vector_service=brain_vector_service, + vector_service=vector_service, + ) + + +def store_chunks( + *, + file: File, + brain_id: UUID, + chunks: list[Document], + brain_service: BrainService, + brain_vector_service: BrainVectorService, + vector_service: VectorService, +): + # vector_ids = document_vector_store.add_documents(chunks) + vector_ids = vector_service.create_vectors(chunks, file.id) + logger.debug(f"Inserted {len(chunks)} chunks in vectors table for {file}") + + if vector_ids is None or len(vector_ids) == 0: + raise Exception(f"Error inserting chunks for file {file.file_name}") + + brain_service.update_brain_last_update_time(brain_id) + + +async def parse_file( + file: File, + brain: BrainEntity, + integration: str | None = None, + integration_link: str | None = None, + **processor_kwargs: dict[str, Any], +) -> list[Document]: + try: + # TODO(@aminediro): add audio procesors to quivr-core + if file.file_extension in audio_extensions: + logger.debug(f"processing audio file {file}") + audio_docs = process_audio_file(file, brain) + return audio_docs + else: + qfile = file.to_qfile( + brain.brain_id, + { + "integration": integration or "", + "integration_link": integration_link or "", + }, + ) + processor_cls = get_processor_class(file.file_extension) + processor = processor_cls(**processor_kwargs) + docs = await processor.process_file(qfile) + logger.debug(f"Parsed {qfile} to : {docs}") + return docs + except KeyError as e: + raise ValueError(f"Can't parse {file}. No available processor") from e + + +def process_audio_file( + file: File, + brain: BrainEntity, +): + try: + result = process_audio(file=file) + if result is None or result == 0: + logger.info( + f"{file.file_name} has been uploaded to brain. There might have been an error while reading it, please make sure the file is not illformed or just an image", # pyright: ignore reportPrivateUsage=none + ) + return [] + logger.info( + f"{file.file_name} has been uploaded to brain {brain.name} in {result} chunks", # pyright: ignore reportPrivateUsage=none + ) + return result + except Exception as e: + logger.exception(f"Error processing audio file {file}: {e}") + raise e diff --git a/backend/worker/quivr_worker/process/process_s3_file.py b/backend/worker/quivr_worker/process/process_s3_file.py new file mode 100644 index 000000000000..2b79a00f466e --- /dev/null +++ b/backend/worker/quivr_worker/process/process_s3_file.py @@ -0,0 +1,51 @@ +from uuid import UUID + +from quivr_api.logger import get_logger +from quivr_api.modules.brain.service.brain_service import BrainService +from quivr_api.modules.brain.service.brain_vector_service import BrainVectorService +from quivr_api.vector.service.vector_service import VectorService +from supabase import Client + +from quivr_worker.files import build_file +from quivr_worker.process.process_file import process_file + +logger = get_logger("celery_worker") + + +async def process_uploaded_file( + supabase_client: Client, + brain_service: BrainService, + brain_vector_service: BrainVectorService, + vector_service: VectorService, + file_name: str, + brain_id: UUID, + file_original_name: str, + knowledge_id: UUID, + integration: str | None = None, + integration_link: str | None = None, + delete_file: bool = False, + bucket_name: str = "quivr", +): + brain = brain_service.get_brain_by_id(brain_id) + if brain is None: + logger.exception( + "It seems like you're uploading knowledge to an unknown brain." + ) + return True + file_data = supabase_client.storage.from_(bucket_name).download(file_name) + with build_file(file_data, knowledge_id, file_name) as file_instance: + # TODO(@StanGirard): fix bug + # NOTE (@aminediro): I think this might be related to knowledge delete timeouts ? + if delete_file: + brain_vector_service.delete_file_from_brain( + file_original_name, only_vectors=True + ) + await process_file( + file_instance=file_instance, + brain=brain, + brain_service=brain_service, + brain_vector_service=brain_vector_service, + vector_service=vector_service, + integration=integration, + integration_link=integration_link, + ) diff --git a/backend/worker/quivr_worker/process/process_url.py b/backend/worker/quivr_worker/process/process_url.py new file mode 100644 index 000000000000..3047370f26a8 --- /dev/null +++ b/backend/worker/quivr_worker/process/process_url.py @@ -0,0 +1,44 @@ +from uuid import UUID + +from quivr_api.logger import get_logger +from quivr_api.modules.brain.service.brain_service import BrainService +from quivr_api.modules.brain.service.brain_vector_service import \ + BrainVectorService +from quivr_api.vector.service.vector_service import VectorService +from quivr_worker.files import build_file +from quivr_worker.parsers.crawler import URL, extract_from_url, slugify +from quivr_worker.process.process_file import process_file + +logger = get_logger("celery_worker") + + +async def process_url_func( + url: str, + brain_id: UUID, + knowledge_id: UUID, + brain_service: BrainService, + brain_vector_service: BrainVectorService, + vector_service: VectorService, +): + crawl_website = URL(url=url) + extracted_content = extract_from_url(crawl_website) + extracted_content_bytes = extracted_content.encode("utf-8") + file_name = slugify(crawl_website.url) + ".txt" + + brain = brain_service.get_brain_by_id(brain_id) + if brain is None: + logger.error("It seems like you're uploading knowledge to an unknown brain.") + return 1 + + with build_file(extracted_content_bytes, knowledge_id, file_name) as file_instance: + # TODO(@StanGirard): fix bug + # NOTE (@aminediro): I think this might be related to knowledge delete timeouts ? + await process_file( + file_instance=file_instance, + brain=brain, + brain_service=brain_service, + brain_vector_service=brain_vector_service, + integration=None, + integration_link=None, + vector_service=vector_service, + ) diff --git a/backend/worker/quivr_worker/syncs/__init__.py b/backend/worker/quivr_worker/syncs/__init__.py new file mode 100644 index 000000000000..0ca8a21db9fe --- /dev/null +++ b/backend/worker/quivr_worker/syncs/__init__.py @@ -0,0 +1,3 @@ +from .process_active_syncs import process_all_active_syncs + +__all__ = ["process_all_active_syncs"] diff --git a/backend/worker/quivr_worker/syncs/process_active_syncs.py b/backend/worker/quivr_worker/syncs/process_active_syncs.py new file mode 100644 index 000000000000..3eab151b704d --- /dev/null +++ b/backend/worker/quivr_worker/syncs/process_active_syncs.py @@ -0,0 +1,138 @@ +from datetime import datetime, timedelta +from uuid import UUID + +from notion_client import Client +from quivr_api.celery_config import celery +from quivr_api.logger import get_logger +from quivr_api.modules.notification.service.notification_service import ( + NotificationService, +) +from quivr_api.modules.sync.entity.sync_models import SyncsActive +from quivr_api.modules.sync.repository.sync_repository import NotionRepository +from quivr_api.modules.sync.service.sync_notion import ( + SyncNotionService, + fetch_limit_notion_pages, + update_notion_pages, +) +from quivr_api.modules.sync.service.sync_service import SyncService, SyncUserService +from quivr_api.modules.sync.utils.syncutils import SyncUtils +from sqlalchemy.ext.asyncio import AsyncEngine +from sqlmodel.ext.asyncio.session import AsyncSession + +from quivr_worker.syncs.utils import SyncServices, build_syncs_utils + +celery_inspector = celery.control.inspect() + +logger = get_logger("celery_worker") + + +async def process_sync( + sync: SyncsActive, + files_ids: list[str], + folder_ids: list[str], + services: SyncServices, +): + async with build_syncs_utils(services) as mapping_syncs_utils: + try: + user_sync = services.sync_user_service.get_sync_user_by_id( + sync.syncs_user_id + ) + services.notification_service.remove_notification_by_id( + sync.notification_id + ) + assert user_sync, f"No user sync found for active sync: {sync}" + sync_util = mapping_syncs_utils[user_sync.provider.lower()] + await sync_util.direct_sync( + sync_active=sync, + user_sync=user_sync, + files_ids=files_ids, + folder_ids=folder_ids, + ) + except KeyError as e: + logger.error( + f"Provider not supported: {e}", + ) + except Exception as e: + logger.error(f"Error direct sync for {sync.id}: {e}") + raise e + + +async def process_all_active_syncs(sync_services: SyncServices): + async with build_syncs_utils(sync_services) as mapping_sync_utils: + await _process_all_active_syncs( + sync_active_service=sync_services.sync_active_service, + sync_user_service=sync_services.sync_user_service, + mapping_syncs_utils=mapping_sync_utils, + notification_service=sync_services.notification_service, + ) + + +async def _process_all_active_syncs( + sync_active_service: SyncService, + sync_user_service: SyncUserService, + mapping_syncs_utils: dict[str, SyncUtils], + notification_service: NotificationService, +): + active_syncs = await sync_active_service.get_syncs_active_in_interval() + logger.debug(f"Found active syncs: {active_syncs}") + for sync in active_syncs: + try: + user_sync = sync_user_service.get_sync_user_by_id(sync.syncs_user_id) + # TODO: this should be global + # NOTE: Remove the global notification + notification_service.remove_notification_by_id(sync.notification_id) + assert user_sync, f"No user sync found for active sync: {sync}" + sync_util = mapping_syncs_utils[user_sync.provider.lower()] + await sync_util.sync(sync_active=sync, user_sync=user_sync) + except KeyError as e: + logger.error( + f"Provider not supported: {e}", + ) + except Exception as e: + logger.error(f"Error syncing: {e}") + continue + + +async def process_notion_sync( + async_engine: AsyncEngine, +): + async with AsyncSession( + async_engine, expire_on_commit=False, autoflush=False + ) as session: + sync_user_service = SyncUserService() + notion_repository = NotionRepository(session) + notion_service = SyncNotionService(notion_repository) + + # TODO: Add state in sync_user to check if the same fetching is running + # Get active tasks for all workers + active_tasks = celery_inspector.active() + is_uploading_task_running = any( + "fetch_and_store_notion_files" in task + for worker_tasks in active_tasks.values() + for task in worker_tasks + ) + if is_uploading_task_running: + return None + + # Get all notion syncs + notion_syncs = sync_user_service.get_all_notion_user_syncs() + for notion_sync in notion_syncs: + user_id = notion_sync["user_id"] + notion_client = Client(auth=notion_sync["credentials"]["access_token"]) + + # TODO: fetch last_sync_time from table + pages_to_update = fetch_limit_notion_pages( + notion_client, + datetime.now() - timedelta(hours=6), + ) + logger.debug("Number of pages to update: %s", len(pages_to_update)) + if not pages_to_update: + logger.info("No pages to update") + continue + + await update_notion_pages( + notion_service, + pages_to_update, + UUID(user_id), + notion_client, # type: ignore + ) diff --git a/backend/worker/quivr_worker/syncs/store_notion.py b/backend/worker/quivr_worker/syncs/store_notion.py new file mode 100644 index 000000000000..4a4074b9ddc0 --- /dev/null +++ b/backend/worker/quivr_worker/syncs/store_notion.py @@ -0,0 +1,36 @@ +from datetime import datetime +from uuid import UUID + +from notion_client import Client +from quivr_api.logger import get_logger +from quivr_api.modules.sync.repository.sync_repository import NotionRepository +from quivr_api.modules.sync.service.sync_notion import ( + SyncNotionService, + fetch_limit_notion_pages, + store_notion_pages, +) +from sqlalchemy.ext.asyncio import AsyncEngine +from sqlmodel.ext.asyncio.session import AsyncSession + +logger = get_logger("celery_worker") + + +async def fetch_and_store_notion_files_async( + async_engine: AsyncEngine, access_token: str, user_id: UUID +): + async with AsyncSession( + async_engine, expire_on_commit=False, autoflush=False + ) as session: + notion_repository = NotionRepository(session) + notion_service = SyncNotionService(notion_repository) + notion_client = Client(auth=access_token) + all_search_result = fetch_limit_notion_pages( + notion_client, + last_sync_time=datetime(1970, 1, 1, 0, 0, 0), # UNIX EPOCH + ) + logger.debug(f"Notion fetched {len(all_search_result)} pages") + pages = await store_notion_pages(all_search_result, notion_service, user_id) + if pages: + logger.info(f"stored {len(pages)} from notion for {user_id}") + else: + logger.warn("No notion page fetched") diff --git a/backend/worker/quivr_worker/syncs/utils.py b/backend/worker/quivr_worker/syncs/utils.py new file mode 100644 index 000000000000..3d36271b857a --- /dev/null +++ b/backend/worker/quivr_worker/syncs/utils.py @@ -0,0 +1,82 @@ +from contextlib import asynccontextmanager +from dataclasses import dataclass +from typing import AsyncGenerator + +from quivr_api.celery_config import celery +from quivr_api.logger import get_logger +from quivr_api.modules.brain.repository.brains_vectors import BrainsVectors +from quivr_api.modules.knowledge.repository.knowledges import KnowledgeRepository +from quivr_api.modules.knowledge.repository.storage import Storage +from quivr_api.modules.knowledge.service.knowledge_service import KnowledgeService +from quivr_api.modules.notification.service.notification_service import ( + NotificationService, +) +from quivr_api.modules.sync.repository.sync_files import SyncFilesRepository +from quivr_api.modules.sync.repository.sync_repository import NotionRepository +from quivr_api.modules.sync.service.sync_notion import ( + SyncNotionService, +) +from quivr_api.modules.sync.service.sync_service import SyncService, SyncUserService +from quivr_api.modules.sync.utils.sync import ( + AzureDriveSync, + DropboxSync, + GitHubSync, + GoogleDriveSync, + NotionSync, +) +from quivr_api.modules.sync.utils.syncutils import SyncUtils +from sqlalchemy.ext.asyncio import AsyncEngine +from sqlmodel.ext.asyncio.session import AsyncSession + +celery_inspector = celery.control.inspect() + +logger = get_logger("celery_worker") + + +@dataclass +class SyncServices: + async_engine: AsyncEngine + sync_active_service: SyncService + sync_user_service: SyncUserService + sync_files_repo_service: SyncFilesRepository + notification_service: NotificationService + brain_vectors: BrainsVectors + storage: Storage + + +@asynccontextmanager +async def build_syncs_utils( + deps: SyncServices, +) -> AsyncGenerator[dict[str, SyncUtils], None]: + async with AsyncSession( + deps.async_engine, expire_on_commit=False, autoflush=False + ) as session: + # TODO pass services from celery_worker + notion_repository = NotionRepository(session) + notion_service = SyncNotionService(notion_repository) + knowledge_service = KnowledgeService(KnowledgeRepository(session)) + + mapping_sync_utils = {} + for provider_name, sync_cloud in [ + ("google", GoogleDriveSync()), + ("azure", AzureDriveSync()), + ("dropbox", DropboxSync()), + ("github", GitHubSync()), + ( + "notion", + NotionSync(notion_service=notion_service), + ), # Fixed duplicate "github" key + ]: + provider_sync_util = SyncUtils( + sync_user_service=deps.sync_user_service, + sync_active_service=deps.sync_active_service, + sync_files_repo=deps.sync_files_repo_service, + storage=deps.storage, + sync_cloud=sync_cloud, + notification_service=deps.notification_service, + brain_vectors=deps.brain_vectors, + knowledge_service=knowledge_service, + ) + mapping_sync_utils[provider_name] = provider_sync_util + + yield mapping_sync_utils diff --git a/backend/worker/quivr_worker/utils.py b/backend/worker/quivr_worker/utils.py new file mode 100644 index 000000000000..75978b27cd9c --- /dev/null +++ b/backend/worker/quivr_worker/utils.py @@ -0,0 +1,28 @@ +import os +import uuid +from json import JSONEncoder +from pathlib import PosixPath +from typing import Tuple + + +def get_tmp_name(file_name: str) -> Tuple[str, str, str]: + # Filepath is S3 based + tmp_name = file_name.replace("/", "_") + base_file_name = os.path.basename(file_name) + _, file_extension = os.path.splitext(base_file_name) + return tmp_name, base_file_name, file_extension + + +# TODO: This is a hack for making uuid work with supabase clients +# THIS is dangerous, I am patching json globally +def _patch_json(): + _default_encoder = JSONEncoder().default + + def _new_default(self, obj): + if isinstance(obj, uuid.UUID): + return str(obj) + if isinstance(obj, PosixPath): + return str(obj) + return _default_encoder(obj) + + JSONEncoder.default = _new_default # type: ignore diff --git a/backend/api/quivr_api/packages/files/__init__.py b/backend/worker/tests/__init__.py similarity index 100% rename from backend/api/quivr_api/packages/files/__init__.py rename to backend/worker/tests/__init__.py diff --git a/backend/worker/tests/conftest.py b/backend/worker/tests/conftest.py new file mode 100644 index 000000000000..596b81c062de --- /dev/null +++ b/backend/worker/tests/conftest.py @@ -0,0 +1,40 @@ +import os +from uuid import uuid4 + +import pytest + +from quivr_worker.files import File + + +@pytest.fixture +def file_instance(tmp_path) -> File: + data = "This is some test data." + temp_file = tmp_path / "data.txt" + temp_file.write_text(data) + knowledge_id = uuid4() + return File( + knowledge_id=knowledge_id, + file_sha1="124", + file_extension=".txt", + file_name=temp_file.name, + original_file_name=temp_file.name, + file_size=len(data), + tmp_file_path=temp_file.absolute(), + ) + + +@pytest.fixture +def audio_file(tmp_path) -> File: + data = os.urandom(128) + temp_file = tmp_path / "data.mp4" + temp_file.write_bytes(data) + knowledge_id = uuid4() + return File( + knowledge_id=knowledge_id, + file_sha1="124", + file_extension=".mp4", + file_name=temp_file.name, + original_file_name="data.mp4", + file_size=len(data), + tmp_file_path=temp_file.absolute(), + ) diff --git a/backend/worker/tests/sample.pdf b/backend/worker/tests/sample.pdf new file mode 100644 index 000000000000..69649317e261 Binary files /dev/null and b/backend/worker/tests/sample.pdf differ diff --git a/backend/worker/tests/test_process_file.py b/backend/worker/tests/test_process_file.py new file mode 100644 index 000000000000..9ca8a49b7153 --- /dev/null +++ b/backend/worker/tests/test_process_file.py @@ -0,0 +1,105 @@ +import datetime +import os +from pathlib import Path +from uuid import uuid4 + +import pytest +from quivr_api.modules.brain.entity.brain_entity import BrainEntity, BrainType +from quivr_core.files.file import FileExtension +from quivr_worker.files import File, build_file +from quivr_worker.parsers.crawler import URL, slugify +from quivr_worker.process.process_file import parse_file + + +def test_build_file(): + random_bytes = os.urandom(128) + brain_id = uuid4() + file_name = f"{brain_id}/test_file.txt" + knowledge_id = uuid4() + + with build_file(random_bytes, knowledge_id, file_name) as file: + assert file.file_size == 128 + assert file.file_name == "test_file.txt" + assert file.id == knowledge_id + assert file.file_extension == FileExtension.txt + + +def test_build_url(): + random_bytes = os.urandom(128) + crawl_website = URL(url="http://url.url") + file_name = slugify(crawl_website.url) + ".txt" + knowledge_id = uuid4() + + with build_file( + random_bytes, + knowledge_id, + file_name=file_name, + original_file_name=crawl_website.url, + ) as file: + qfile = file.to_qfile(brain_id=uuid4()) + assert qfile.metadata["original_file_name"] == crawl_website.url + assert qfile.metadata["file_name"] == file_name + + +@pytest.mark.asyncio +async def test_parse_audio(monkeypatch, audio_file): + from openai.resources.audio.transcriptions import Transcriptions + from openai.types.audio.transcription import Transcription + + def transcribe(*args, **kwargs): + return Transcription(text="audio data") + + monkeypatch.setattr(Transcriptions, "create", transcribe) + brain = BrainEntity( + brain_id=uuid4(), + name="test", + brain_type=BrainType.doc, + last_update=datetime.datetime.now(), + ) + chunks = await parse_file( + file=audio_file, + brain=brain, + ) + assert len(chunks) > 0 + assert chunks[0].page_content == "audio data" + + +@pytest.mark.asyncio +async def test_parse_file(file_instance): + brain = BrainEntity( + brain_id=uuid4(), + name="test", + brain_type=BrainType.doc, + last_update=datetime.datetime.now(), + ) + chunks = await parse_file( + file=file_instance, + brain=brain, + ) + assert len(chunks) > 0 + + +@pytest.mark.asyncio +async def test_parse_file_pdf(): + file_instance = File( + knowledge_id=uuid4(), + file_sha1="124", + file_extension=".pdf", + file_name="test", + original_file_name="test", + file_size=1000, + tmp_file_path=Path("./tests/sample.pdf"), + ) + brain = BrainEntity( + brain_id=uuid4(), + name="test", + brain_type=BrainType.doc, + last_update=datetime.datetime.now(), + ) + chunks = await parse_file( + file=file_instance, + brain=brain, + ) + + assert len(chunks[0].page_content) > 0 + assert len(chunks) > 0 diff --git a/backend/api/quivr_api/modules/sync/tests/test_api_key.py b/backend/worker/tests/test_process_file_task.py similarity index 100% rename from backend/api/quivr_api/modules/sync/tests/test_api_key.py rename to backend/worker/tests/test_process_file_task.py diff --git a/backend/worker/tests/test_process_url_task.py b/backend/worker/tests/test_process_url_task.py new file mode 100644 index 000000000000..5559cec5d6a1 --- /dev/null +++ b/backend/worker/tests/test_process_url_task.py @@ -0,0 +1,11 @@ +import pytest + +from quivr_worker.parsers.crawler import URL, extract_from_url + + +@pytest.mark.skip +def test_crawl(): + url = "https://en.wikipedia.org/wiki/Python_(programming_language)" + crawl_website = URL(url=url) + extracted_content = extract_from_url(crawl_website) + assert len(extracted_content) > 1 diff --git a/backend/worker/tests/test_utils.py b/backend/worker/tests/test_utils.py new file mode 100644 index 000000000000..3b0cfdab51f5 --- /dev/null +++ b/backend/worker/tests/test_utils.py @@ -0,0 +1,39 @@ +import json +from pathlib import PosixPath +from uuid import UUID + +import pytest +from langchain_core.documents import Document + +from quivr_worker.utils import _patch_json + + +def test_patch_json(): + c = Document( + page_content="content", + metadata={ + "id": UUID("a45d9cb8-c05e-41e6-a300-2a54cfdb3f85"), + "chunk_index": 1, + "quivr_core_version": "0.0.12", + "qfile_id": UUID("774ad13d-cde7-40ba-9969-0f71208fc692"), + "qfile_path": PosixPath( + "/tmp/pytest-of-amine/pytest-187/test_parse_file0/data.txt" + ), + "original_file_name": "data.txt", + "file_sha1": "124", + "file_size": 23, + "date": "20240804", + "knowledge_id": UUID("774ad13d-cde7-40ba-9969-0f71208fc692"), + "integration": "", + "integration_link": "", + "chunk_size": 6, + "processor_cls": "TextLoader", + "splitter": {"chunk_size": 400, "chunk_overlap": 100}, + }, + ) + + with pytest.raises(TypeError): + json.dumps(c.to_json()) + + _patch_json() + assert json.dumps(c.to_json()) diff --git a/docker-compose.dev.yml b/docker-compose.dev.yml index accd3ba4f7f0..1525ea9513ce 100644 --- a/docker-compose.dev.yml +++ b/docker-compose.dev.yml @@ -1,8 +1,8 @@ version: "3.8" services: - backend-core: - image: backend-base:latest + backend-api: + image: backend-api:latest extra_hosts: - "host.docker.internal:host-gateway" pull_policy: never @@ -12,39 +12,22 @@ services: context: backend dockerfile: Dockerfile.dev cache_from: - - backend-base:latest + - backend-api:latest args: - DEV_MODE=true - container_name: backend-core + container_name: backend-api volumes: - ./backend/:/code/ - command: - - "uvicorn" - - "quivr_api.main:app" - - "--reload" - - "--host" - - "0.0.0.0" - - "--port" - - "5050" - - "--log-level" - - "info" + command: > + /bin/bash -c "python -m uvicorn quivr_api.main:app --host 0.0.0.0 --log-level info --reload --port 5050" restart: always ports: - 5050:5050 - 5678:5678 # debug port - redis: - image: redis:latest - container_name: redis - extra_hosts: - - "host.docker.internal:host-gateway" - restart: always - ports: - - 6379:6379 - notifier: pull_policy: never - image: backend-base:latest + image: backend-api:latest extra_hosts: - "host.docker.internal:host-gateway" env_file: @@ -52,9 +35,8 @@ services: container_name: notifier volumes: - ./backend/:/code/ - command: - - "python" - - "/code/api/quivr_api/celery_monitor.py" + command: > + /bin/bash -c "python /code/worker/quivr_worker/celery_monitor.py" restart: always depends_on: - redis @@ -62,7 +44,7 @@ services: worker: pull_policy: never - image: backend-base:latest + image: backend-api:latest extra_hosts: - "host.docker.internal:host-gateway" env_file: @@ -70,20 +52,31 @@ services: container_name: worker volumes: - ./backend/:/code/ - command: "celery -A quivr_api.celery_worker worker -l info" + command: > + /bin/bash -c "python -m celery -A quivr_worker.celery_worker worker -l info" restart: always depends_on: - redis + redis: + image: redis:latest + container_name: redis + extra_hosts: + - "host.docker.internal:host-gateway" + restart: always + ports: + - 6379:6379 + beat: - image: backend-base:latest + image: backend-api:latest pull_policy: never extra_hosts: - "host.docker.internal:host-gateway" env_file: - .env container_name: beat - command: celery -A quivr_api.celery_worker beat -l info + command: > + /bin/bash -c "python -m celery -A quivr_worker.celery_worker beat -l info" volumes: - ./backend/:/code/ restart: always @@ -91,14 +84,15 @@ services: - redis flower: - image: backend-base:latest + image: backend-api:latest pull_policy: never extra_hosts: - "host.docker.internal:host-gateway" env_file: - .env container_name: flower - command: celery -A quivr_api.celery_worker flower -l info --port=5555 + command: > + /bin/bash -c "python -m celery -A quivr_worker.celery_worker flower -l info --port=5555" volumes: - ./backend/:/code/ restart: always diff --git a/docker-compose.yml b/docker-compose.yml index 4d2700caa17a..a67270fe6a88 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -17,104 +17,84 @@ services: - NEXT_PUBLIC_AUTH_MODES=${NEXT_PUBLIC_AUTH_MODES} container_name: web depends_on: - - backend-core + - backend-api restart: always ports: - 3000:3000 - backend-core: - image: stangirard/quivr-backend-prebuilt:latest + backend-api: + image: quivr-backend-api:latest pull_policy: if_not_present env_file: - .env build: context: backend dockerfile: Dockerfile - container_name: backend-core + container_name: backend-api extra_hosts: - "host.docker.internal:host-gateway" healthcheck: test: [ "CMD", "curl", "http://localhost:5050/healthz" ] - command: - - "uvicorn" - - "quivr_api.main:app" - - "--host" - - "0.0.0.0" - - "--port" - - "5050" + command: > + /bin/bash -c "python -m uvicorn quivr_api.main:app --host 0.0.0.0 --log-level info --reload --port 5050 --loop uvloop" restart: always - volumes: - - ./backend/:/code/ ports: - 5050:5050 - notifier: - pull_policy: never - image: backend-base:latest - extra_hosts: - - "host.docker.internal:host-gateway" + worker: + pull_policy: if_not_present + image: quivr-backend-api:latest env_file: - .env - container_name: notifier - command: - - "python" - - "/code/api/quivr_api/celery_monitor.py" + container_name: worker + extra_hosts: + - "host.docker.internal:host-gateway" + command: > + /bin/bash -c "python -m celery -A quivr_worker.celery_worker worker -l info" restart: always depends_on: - redis - - worker - redis: - image: redis:latest@sha256:a7cee7c8178ff9b5297cb109e6240f5072cdaaafd775ce6b586c3c704b06458e - container_name: redis - restart: always - ports: - - 6379:6379 - - worker: - pull_policy: if_not_present - image: stangirard/quivr-backend-prebuilt:latest - env_file: - - .env - build: - context: backend - dockerfile: Dockerfile - container_name: worker + notifier: + pull_policy: never + image: quivr-backend-api:latest extra_hosts: - "host.docker.internal:host-gateway" - command: celery -A quivr_api.celery_worker worker -l info + env_file: + - .env + container_name: notifier + command: > + /bin/bash -c "python /app/worker/quivr_worker/celery_monitor.py" restart: always depends_on: - redis + - worker beat: - image: stangirard/quivr-backend-prebuilt:latest + image: quivr-backend-api:latest pull_policy: if_not_present env_file: - .env - build: - context: backend - dockerfile: Dockerfile container_name: beat extra_hosts: - "host.docker.internal:host-gateway" - command: celery -A quivr_api.celery_worker beat -l info + command: > + /bin/bash -c "python -m celery -A quivr_worker.celery_worker beat -l info" restart: always depends_on: + - redis flower: - image: stangirard/quivr-backend-prebuilt:latest + image: quivr-backend-api:latest pull_policy: if_not_present env_file: - .env - build: - context: backend - dockerfile: Dockerfile container_name: flower extra_hosts: - "host.docker.internal:host-gateway" - command: celery -A quivr_api.celery_worker flower -l info --port=5555 + command: > + /bin/bash -c "python -m celery -A quivr_worker.celery_worker flower -l info --port=5555" restart: always depends_on: - redis @@ -123,6 +103,13 @@ services: ports: - 5555:5555 + redis: + image: redis:latest@sha256:a7cee7c8178ff9b5297cb109e6240f5072cdaaafd775ce6b586c3c704b06458e + container_name: redis + restart: always + ports: + - 6379:6379 + networks: quivr-network: driver: bridge diff --git a/examples/chat_llm.py b/examples/chat_llm.py new file mode 100644 index 000000000000..969f4b46655d --- /dev/null +++ b/examples/chat_llm.py @@ -0,0 +1,12 @@ +from quivr_core import ChatLLM +from quivr_core.config import LLMEndpointConfig +from quivr_core.llm import LLMEndpoint + +if __name__ == "__main__": + llm_endpoint = LLMEndpoint.from_config(LLMEndpointConfig(model="gpt-4o-mini")) + chat_llm = ChatLLM( + llm=llm_endpoint, + ) + print(chat_llm.llm_endpoint.info()) + response = chat_llm.answer("Hello,what is your model?") + print(response) diff --git a/examples/chatbot/.chainlit/config.toml b/examples/chatbot/.chainlit/config.toml new file mode 100644 index 000000000000..eb911b503763 --- /dev/null +++ b/examples/chatbot/.chainlit/config.toml @@ -0,0 +1,120 @@ +[project] +# Whether to enable telemetry (default: true). No personal data is collected. +enable_telemetry = true + + +# List of environment variables to be provided by each user to use the app. +user_env = [] + +# Duration (in seconds) during which the session is saved when the connection is lost +session_timeout = 3600 + +# Enable third parties caching (e.g LangChain cache) +cache = false + +# Authorized origins +allow_origins = ["*"] + +# Follow symlink for asset mount (see https://github.com/Chainlit/chainlit/issues/317) +# follow_symlink = false + +[features] +# Process and display HTML in messages. This can be a security risk (see https://stackoverflow.com/questions/19603097/why-is-it-dangerous-to-render-user-generated-html-or-javascript) +unsafe_allow_html = false + +# Process and display mathematical expressions. This can clash with "$" characters in messages. +latex = false + +# Automatically tag threads with the current chat profile (if a chat profile is used) +auto_tag_thread = true + +# Authorize users to spontaneously upload files with messages +[features.spontaneous_file_upload] + enabled = true + accept = ["*/*"] + max_files = 20 + max_size_mb = 500 + +[features.audio] + # Threshold for audio recording + min_decibels = -45 + # Delay for the user to start speaking in MS + initial_silence_timeout = 3000 + # Delay for the user to continue speaking in MS. If the user stops speaking for this duration, the recording will stop. + silence_timeout = 1500 + # Above this duration (MS), the recording will forcefully stop. + max_duration = 15000 + # Duration of the audio chunks in MS + chunk_duration = 1000 + # Sample rate of the audio + sample_rate = 44100 + +edit_message = true + +[UI] +# Name of the assistant. +name = "Assistant" + +# Description of the assistant. This is used for HTML tags. +# description = "" + +# Large size content are by default collapsed for a cleaner ui +default_collapse_content = true + +# Chain of Thought (CoT) display mode. Can be "hidden", "tool_call" or "full". +cot = "full" + +# Link to your github repo. This will add a github button in the UI's header. +# github = "" + +# Specify a CSS file that can be used to customize the user interface. +# The CSS file can be served from the public directory or via an external link. +# custom_css = "/public/test.css" + +# Specify a Javascript file that can be used to customize the user interface. +# The Javascript file can be served from the public directory. +# custom_js = "/public/test.js" + +# Specify a custom font url. +# custom_font = "https://fonts.googleapis.com/css2?family=Inter:wght@400;500;700&display=swap" + +# Specify a custom meta image url. +# custom_meta_image_url = "https://chainlit-cloud.s3.eu-west-3.amazonaws.com/logo/chainlit_banner.png" + +# Specify a custom build directory for the frontend. +# This can be used to customize the frontend code. +# Be careful: If this is a relative path, it should not start with a slash. +# custom_build = "./public/build" + +[UI.theme] + default = "dark" + #layout = "wide" + #font_family = "Inter, sans-serif" +# Override default MUI light theme. (Check theme.ts) +[UI.theme.light] + #background = "#FAFAFA" + #paper = "#FFFFFF" + + [UI.theme.light.primary] + #main = "#F80061" + #dark = "#980039" + #light = "#FFE7EB" + [UI.theme.light.text] + #primary = "#212121" + #secondary = "#616161" + +# Override default MUI dark theme. (Check theme.ts) +[UI.theme.dark] + #background = "#FAFAFA" + #paper = "#FFFFFF" + + [UI.theme.dark.primary] + #main = "#F80061" + #dark = "#980039" + #light = "#FFE7EB" + [UI.theme.dark.text] + #primary = "#EEEEEE" + #secondary = "#BDBDBD" + +[meta] +generated_by = "1.1.402" diff --git a/examples/chatbot/.chainlit/translations/en-US.json b/examples/chatbot/.chainlit/translations/en-US.json new file mode 100644 index 000000000000..d6d3fea188da --- /dev/null +++ b/examples/chatbot/.chainlit/translations/en-US.json @@ -0,0 +1,229 @@ +{ + "components": { + "atoms": { + "buttons": { + "userButton": { + "menu": { + "settings": "Settings", + "settingsKey": "S", + "APIKeys": "API Keys", + "logout": "Logout" + } + } + } + }, + "molecules": { + "newChatButton": { + "newChat": "New Chat" + }, + "tasklist": { + "TaskList": { + "title": "\ud83d\uddd2\ufe0f Task List", + "loading": "Loading...", + "error": "An error occurred" + } + }, + "attachments": { + "cancelUpload": "Cancel upload", + "removeAttachment": "Remove attachment" + }, + "newChatDialog": { + "createNewChat": "Create new chat?", + "clearChat": "This will clear the current messages and start a new chat.", + "cancel": "Cancel", + "confirm": "Confirm" + }, + "settingsModal": { + "settings": "Settings", + "expandMessages": "Expand Messages", + "hideChainOfThought": "Hide Chain of Thought", + "darkMode": "Dark Mode" + }, + "detailsButton": { + "using": "Using", + "used": "Used" + }, + "auth": { + "authLogin": { + "title": "Login to access the app.", + "form": { + "email": "Email address", + "password": "Password", + "noAccount": "Don't have an account?", + "alreadyHaveAccount": "Already have an account?", + "signup": "Sign Up", + "signin": "Sign In", + "or": "OR", + "continue": "Continue", + "forgotPassword": "Forgot password?", + "passwordMustContain": "Your password must contain:", + "emailRequired": "email is a required field", + "passwordRequired": "password is a required field" + }, + "error": { + "default": "Unable to sign in.", + "signin": "Try signing in with a different account.", + "oauthsignin": "Try signing in with a different account.", + "redirect_uri_mismatch": "The redirect URI is not matching the oauth app configuration.", + "oauthcallbackerror": "Try signing in with a different account.", + "oauthcreateaccount": "Try signing in with a different account.", + "emailcreateaccount": "Try signing in with a different account.", + "callback": "Try signing in with a different account.", + "oauthaccountnotlinked": "To confirm your identity, sign in with the same account you used originally.", + "emailsignin": "The e-mail could not be sent.", + "emailverify": "Please verify your email, a new email has been sent.", + "credentialssignin": "Sign in failed. Check the details you provided are correct.", + "sessionrequired": "Please sign in to access this page." + } + }, + "authVerifyEmail": { + "almostThere": "You're almost there! We've sent an email to ", + "verifyEmailLink": "Please click on the link in that email to complete your signup.", + "didNotReceive": "Can't find the email?", + "resendEmail": "Resend email", + "goBack": "Go Back", + "emailSent": "Email sent successfully.", + "verifyEmail": "Verify your email address" + }, + "providerButton": { + "continue": "Continue with {{provider}}", + "signup": "Sign up with {{provider}}" + }, + "authResetPassword": { + "newPasswordRequired": "New password is a required field", + "passwordsMustMatch": "Passwords must match", + "confirmPasswordRequired": "Confirm password is a required field", + "newPassword": "New password", + "confirmPassword": "Confirm password", + "resetPassword": "Reset Password" + }, + "authForgotPassword": { + "email": "Email address", + "emailRequired": "email is a required field", + "emailSent": "Please check the email address {{email}} for instructions to reset your password.", + "enterEmail": "Enter your email address and we will send you instructions to reset your password.", + "resendEmail": "Resend email", + "continue": "Continue", + "goBack": "Go Back" + } + } + }, + "organisms": { + "chat": { + "history": { + "index": { + "showHistory": "Show history", + "lastInputs": "Last Inputs", + "noInputs": "Such empty...", + "loading": "Loading..." + } + }, + "inputBox": { + "input": { + "placeholder": "Type your message here..." + }, + "speechButton": { + "start": "Start recording", + "stop": "Stop recording" + }, + "SubmitButton": { + "sendMessage": "Send message", + "stopTask": "Stop Task" + }, + "UploadButton": { + "attachFiles": "Attach files" + }, + "waterMark": { + "text": "Built with" + } + }, + "Messages": { + "index": { + "running": "Running", + "executedSuccessfully": "executed successfully", + "failed": "failed", + "feedbackUpdated": "Feedback updated", + "updating": "Updating" + } + }, + "dropScreen": { + "dropYourFilesHere": "Drop your files here" + }, + "index": { + "failedToUpload": "Failed to upload", + "cancelledUploadOf": "Cancelled upload of", + "couldNotReachServer": "Could not reach the server", + "continuingChat": "Continuing previous chat" + }, + "settings": { + "settingsPanel": "Settings panel", + "reset": "Reset", + "cancel": "Cancel", + "confirm": "Confirm" + } + }, + "threadHistory": { + "sidebar": { + "filters": { + "FeedbackSelect": { + "feedbackAll": "Feedback: All", + "feedbackPositive": "Feedback: Positive", + "feedbackNegative": "Feedback: Negative" + }, + "SearchBar": { + "search": "Search" + } + }, + "DeleteThreadButton": { + "confirmMessage": "This will delete the thread as well as it's messages and elements.", + "cancel": "Cancel", + "confirm": "Confirm", + "deletingChat": "Deleting chat", + "chatDeleted": "Chat deleted" + }, + "index": { + "pastChats": "Past Chats" + }, + "ThreadList": { + "empty": "Empty...", + "today": "Today", + "yesterday": "Yesterday", + "previous7days": "Previous 7 days", + "previous30days": "Previous 30 days" + }, + "TriggerButton": { + "closeSidebar": "Close sidebar", + "openSidebar": "Open sidebar" + } + }, + "Thread": { + "backToChat": "Go back to chat", + "chatCreatedOn": "This chat was created on" + } + }, + "header": { + "chat": "Chat", + "readme": "Readme" + } + } + }, + "hooks": { + "useLLMProviders": { + "failedToFetchProviders": "Failed to fetch providers:" + } + }, + "pages": { + "Design": {}, + "Env": { + "savedSuccessfully": "Saved successfully", + "requiredApiKeys": "Required API Keys", + "requiredApiKeysInfo": "To use this app, the following API keys are required. The keys are stored on your device's local storage." + }, + "Page": { + "notPartOfProject": "You are not part of this project." + }, + "ResumeButton": { + "resumeChat": "Resume Chat" + } + } +} \ No newline at end of file diff --git a/examples/chatbot/.chainlit/translations/zh-CN.json b/examples/chatbot/.chainlit/translations/zh-CN.json new file mode 100644 index 000000000000..b0c5f54942f6 --- /dev/null +++ b/examples/chatbot/.chainlit/translations/zh-CN.json @@ -0,0 +1,229 @@ +{ + "components": { + "atoms": { + "buttons": { + "userButton": { + "menu": { + "settings": "\u8bbe\u7f6e", + "settingsKey": "S", + "APIKeys": "API \u5bc6\u94a5", + "logout": "\u767b\u51fa" + } + } + } + }, + "molecules": { + "newChatButton": { + "newChat": "\u65b0\u5efa\u5bf9\u8bdd" + }, + "tasklist": { + "TaskList": { + "title": "\ud83d\uddd2\ufe0f \u4efb\u52a1\u5217\u8868", + "loading": "\u52a0\u8f7d\u4e2d...", + "error": "\u53d1\u751f\u9519\u8bef" + } + }, + "attachments": { + "cancelUpload": "\u53d6\u6d88\u4e0a\u4f20", + "removeAttachment": "\u79fb\u9664\u9644\u4ef6" + }, + "newChatDialog": { + "createNewChat": "\u521b\u5efa\u65b0\u5bf9\u8bdd\uff1f", + "clearChat": "\u8fd9\u5c06\u6e05\u9664\u5f53\u524d\u6d88\u606f\u5e76\u5f00\u59cb\u65b0\u7684\u5bf9\u8bdd\u3002", + "cancel": "\u53d6\u6d88", + "confirm": "\u786e\u8ba4" + }, + "settingsModal": { + "settings": "\u8bbe\u7f6e", + "expandMessages": "\u5c55\u5f00\u6d88\u606f", + "hideChainOfThought": "\u9690\u85cf\u601d\u8003\u94fe", + "darkMode": "\u6697\u8272\u6a21\u5f0f" + }, + "detailsButton": { + "using": "\u4f7f\u7528", + "used": "\u5df2\u7528" + }, + "auth": { + "authLogin": { + "title": "\u767b\u5f55\u4ee5\u8bbf\u95ee\u5e94\u7528\u3002", + "form": { + "email": "\u7535\u5b50\u90ae\u7bb1\u5730\u5740", + "password": "\u5bc6\u7801", + "noAccount": "\u6ca1\u6709\u8d26\u6237\uff1f", + "alreadyHaveAccount": "\u5df2\u6709\u8d26\u6237\uff1f", + "signup": "\u6ce8\u518c", + "signin": "\u767b\u5f55", + "or": "\u6216\u8005", + "continue": "\u7ee7\u7eed", + "forgotPassword": "\u5fd8\u8bb0\u5bc6\u7801\uff1f", + "passwordMustContain": "\u60a8\u7684\u5bc6\u7801\u5fc5\u987b\u5305\u542b\uff1a", + "emailRequired": "\u7535\u5b50\u90ae\u7bb1\u662f\u5fc5\u586b\u9879", + "passwordRequired": "\u5bc6\u7801\u662f\u5fc5\u586b\u9879" + }, + "error": { + "default": "\u65e0\u6cd5\u767b\u5f55\u3002", + "signin": "\u5c1d\u8bd5\u4f7f\u7528\u4e0d\u540c\u7684\u8d26\u6237\u767b\u5f55\u3002", + "oauthsignin": "\u5c1d\u8bd5\u4f7f\u7528\u4e0d\u540c\u7684\u8d26\u6237\u767b\u5f55\u3002", + "redirect_uri_mismatch": "\u91cd\u5b9a\u5411URI\u4e0eOAuth\u5e94\u7528\u914d\u7f6e\u4e0d\u5339\u914d\u3002", + "oauthcallbackerror": "\u5c1d\u8bd5\u4f7f\u7528\u4e0d\u540c\u7684\u8d26\u6237\u767b\u5f55\u3002", + "oauthcreateaccount": "\u5c1d\u8bd5\u4f7f\u7528\u4e0d\u540c\u7684\u8d26\u6237\u767b\u5f55\u3002", + "emailcreateaccount": "\u5c1d\u8bd5\u4f7f\u7528\u4e0d\u540c\u7684\u8d26\u6237\u767b\u5f55\u3002", + "callback": "\u5c1d\u8bd5\u4f7f\u7528\u4e0d\u540c\u7684\u8d26\u6237\u767b\u5f55\u3002", + "oauthaccountnotlinked": "\u4e3a\u4e86\u9a8c\u8bc1\u60a8\u7684\u8eab\u4efd\uff0c\u8bf7\u4f7f\u7528\u6700\u521d\u4f7f\u7528\u7684\u540c\u4e00\u8d26\u6237\u767b\u5f55\u3002", + "emailsignin": "\u65e0\u6cd5\u53d1\u9001\u90ae\u4ef6\u3002", + "emailverify": "\u8bf7\u9a8c\u8bc1\u60a8\u7684\u7535\u5b50\u90ae\u4ef6\uff0c\u5df2\u53d1\u9001\u4e00\u5c01\u65b0\u90ae\u4ef6\u3002", + "credentialssignin": "\u767b\u5f55\u5931\u8d25\u3002\u8bf7\u68c0\u67e5\u60a8\u63d0\u4f9b\u7684\u8be6\u7ec6\u4fe1\u606f\u662f\u5426\u6b63\u786e\u3002", + "sessionrequired": "\u8bf7\u767b\u5f55\u4ee5\u8bbf\u95ee\u6b64\u9875\u9762\u3002" + } + }, + "authVerifyEmail": { + "almostThere": "\u60a8\u5feb\u6210\u529f\u4e86\uff01\u6211\u4eec\u5df2\u5411 ", + "verifyEmailLink": "\u8bf7\u5355\u51fb\u8be5\u90ae\u4ef6\u4e2d\u7684\u94fe\u63a5\u4ee5\u5b8c\u6210\u6ce8\u518c\u3002", + "didNotReceive": "\u6ca1\u627e\u5230\u90ae\u4ef6\uff1f", + "resendEmail": "\u91cd\u65b0\u53d1\u9001\u90ae\u4ef6", + "goBack": "\u8fd4\u56de", + "emailSent": "\u90ae\u4ef6\u5df2\u6210\u529f\u53d1\u9001\u3002", + "verifyEmail": "\u9a8c\u8bc1\u60a8\u7684\u7535\u5b50\u90ae\u4ef6\u5730\u5740" + }, + "providerButton": { + "continue": "\u4f7f\u7528{{provider}}\u7ee7\u7eed", + "signup": "\u4f7f\u7528{{provider}}\u6ce8\u518c" + }, + "authResetPassword": { + "newPasswordRequired": "\u65b0\u5bc6\u7801\u662f\u5fc5\u586b\u9879", + "passwordsMustMatch": "\u5bc6\u7801\u5fc5\u987b\u4e00\u81f4", + "confirmPasswordRequired": "\u786e\u8ba4\u5bc6\u7801\u662f\u5fc5\u586b\u9879", + "newPassword": "\u65b0\u5bc6\u7801", + "confirmPassword": "\u786e\u8ba4\u5bc6\u7801", + "resetPassword": "\u91cd\u7f6e\u5bc6\u7801" + }, + "authForgotPassword": { + "email": "\u7535\u5b50\u90ae\u7bb1\u5730\u5740", + "emailRequired": "\u7535\u5b50\u90ae\u7bb1\u662f\u5fc5\u586b\u9879", + "emailSent": "\u8bf7\u68c0\u67e5\u7535\u5b50\u90ae\u7bb1{{email}}\u4ee5\u83b7\u53d6\u91cd\u7f6e\u5bc6\u7801\u7684\u6307\u793a\u3002", + "enterEmail": "\u8bf7\u8f93\u5165\u60a8\u7684\u7535\u5b50\u90ae\u7bb1\u5730\u5740\uff0c\u6211\u4eec\u5c06\u53d1\u9001\u91cd\u7f6e\u5bc6\u7801\u7684\u6307\u793a\u3002", + "resendEmail": "\u91cd\u65b0\u53d1\u9001\u90ae\u4ef6", + "continue": "\u7ee7\u7eed", + "goBack": "\u8fd4\u56de" + } + } + }, + "organisms": { + "chat": { + "history": { + "index": { + "showHistory": "\u663e\u793a\u5386\u53f2", + "lastInputs": "\u6700\u540e\u8f93\u5165", + "noInputs": "\u5982\u6b64\u7a7a\u65f7...", + "loading": "\u52a0\u8f7d\u4e2d..." + } + }, + "inputBox": { + "input": { + "placeholder": "\u5728\u8fd9\u91cc\u8f93\u5165\u60a8\u7684\u6d88\u606f..." + }, + "speechButton": { + "start": "\u5f00\u59cb\u5f55\u97f3", + "stop": "\u505c\u6b62\u5f55\u97f3" + }, + "SubmitButton": { + "sendMessage": "\u53d1\u9001\u6d88\u606f", + "stopTask": "\u505c\u6b62\u4efb\u52a1" + }, + "UploadButton": { + "attachFiles": "\u9644\u52a0\u6587\u4ef6" + }, + "waterMark": { + "text": "\u4f7f\u7528" + } + }, + "Messages": { + "index": { + "running": "\u8fd0\u884c\u4e2d", + "executedSuccessfully": "\u6267\u884c\u6210\u529f", + "failed": "\u5931\u8d25", + "feedbackUpdated": "\u53cd\u9988\u66f4\u65b0", + "updating": "\u6b63\u5728\u66f4\u65b0" + } + }, + "dropScreen": { + "dropYourFilesHere": "\u5728\u8fd9\u91cc\u62d6\u653e\u60a8\u7684\u6587\u4ef6" + }, + "index": { + "failedToUpload": "\u4e0a\u4f20\u5931\u8d25", + "cancelledUploadOf": "\u53d6\u6d88\u4e0a\u4f20", + "couldNotReachServer": "\u65e0\u6cd5\u8fde\u63a5\u5230\u670d\u52a1\u5668", + "continuingChat": "\u7ee7\u7eed\u4e4b\u524d\u7684\u5bf9\u8bdd" + }, + "settings": { + "settingsPanel": "\u8bbe\u7f6e\u9762\u677f", + "reset": "\u91cd\u7f6e", + "cancel": "\u53d6\u6d88", + "confirm": "\u786e\u8ba4" + } + }, + "threadHistory": { + "sidebar": { + "filters": { + "FeedbackSelect": { + "feedbackAll": "\u53cd\u9988\uff1a\u5168\u90e8", + "feedbackPositive": "\u53cd\u9988\uff1a\u6b63\u9762", + "feedbackNegative": "\u53cd\u9988\uff1a\u8d1f\u9762" + }, + "SearchBar": { + "search": "\u641c\u7d22" + } + }, + "DeleteThreadButton": { + "confirmMessage": "\u8fd9\u5c06\u5220\u9664\u7ebf\u7a0b\u53ca\u5176\u6d88\u606f\u548c\u5143\u7d20\u3002", + "cancel": "\u53d6\u6d88", + "confirm": "\u786e\u8ba4", + "deletingChat": "\u5220\u9664\u5bf9\u8bdd", + "chatDeleted": "\u5bf9\u8bdd\u5df2\u5220\u9664" + }, + "index": { + "pastChats": "\u8fc7\u5f80\u5bf9\u8bdd" + }, + "ThreadList": { + "empty": "\u7a7a\u7684...", + "today": "\u4eca\u5929", + "yesterday": "\u6628\u5929", + "previous7days": "\u524d7\u5929", + "previous30days": "\u524d30\u5929" + }, + "TriggerButton": { + "closeSidebar": "\u5173\u95ed\u4fa7\u8fb9\u680f", + "openSidebar": "\u6253\u5f00\u4fa7\u8fb9\u680f" + } + }, + "Thread": { + "backToChat": "\u8fd4\u56de\u5bf9\u8bdd", + "chatCreatedOn": "\u6b64\u5bf9\u8bdd\u521b\u5efa\u4e8e" + } + }, + "header": { + "chat": "\u5bf9\u8bdd", + "readme": "\u8bf4\u660e" + } + } + }, + "hooks": { + "useLLMProviders": { + "failedToFetchProviders": "\u83b7\u53d6\u63d0\u4f9b\u8005\u5931\u8d25:" + } + }, + "pages": { + "Design": {}, + "Env": { + "savedSuccessfully": "\u4fdd\u5b58\u6210\u529f", + "requiredApiKeys": "\u5fc5\u9700\u7684API\u5bc6\u94a5", + "requiredApiKeysInfo": "\u8981\u4f7f\u7528\u6b64\u5e94\u7528\uff0c\u9700\u8981\u4ee5\u4e0bAPI\u5bc6\u94a5\u3002\u8fd9\u4e9b\u5bc6\u94a5\u5b58\u50a8\u5728\u60a8\u7684\u8bbe\u5907\u672c\u5730\u5b58\u50a8\u4e2d\u3002" + }, + "Page": { + "notPartOfProject": "\u60a8\u4e0d\u662f\u6b64\u9879\u76ee\u7684\u4e00\u90e8\u5206\u3002" + }, + "ResumeButton": { + "resumeChat": "\u6062\u590d\u5bf9\u8bdd" + } + } +} \ No newline at end of file diff --git a/examples/chatbot/.gitignore b/examples/chatbot/.gitignore new file mode 100644 index 000000000000..ae8554dec420 --- /dev/null +++ b/examples/chatbot/.gitignore @@ -0,0 +1,10 @@ +# python generated files +__pycache__/ +*.py[oc] +build/ +dist/ +wheels/ +*.egg-info + +# venv +.venv diff --git a/examples/chatbot/.python-version b/examples/chatbot/.python-version new file mode 100644 index 000000000000..2419ad5b0a32 --- /dev/null +++ b/examples/chatbot/.python-version @@ -0,0 +1 @@ +3.11.9 diff --git a/examples/chatbot/README.md b/examples/chatbot/README.md new file mode 100644 index 000000000000..f78320cb633d --- /dev/null +++ b/examples/chatbot/README.md @@ -0,0 +1,45 @@ +# Quivr Chatbot Example + +This example demonstrates how to create a simple chatbot using Quivr and Chainlit. The chatbot allows users to upload a text file and then ask questions about its content. + +## Prerequisites + +- Python 3.8 or higher + +## Installation + +1. Clone the repository or navigate to the `backend/core/examples/chatbot` directory. + +2. Install the required dependencies: + + ``` + pip install -r requirements.txt + ``` + +## Running the Chatbot + +1. Start the Chainlit server: + + ``` + chainlit run main.py + ``` + +2. Open your web browser and go to the URL displayed in the terminal (usually `http://localhost:8000`). + +## Using the Chatbot + +1. When the chatbot interface loads, you will be prompted to upload a text file. + +2. Click on the upload area and select a `.txt` file from your computer. The file size should not exceed 20MB. + +3. After uploading, the chatbot will process the file and inform you when it's ready. + +4. You can now start asking questions about the content of the uploaded file. + +5. Type your questions in the chat input and press Enter. The chatbot will respond based on the information in the uploaded file. + +## How It Works + +The chatbot uses the Quivr library to create a "brain" from the uploaded text file. This brain is then used to answer questions about the file's content. The Chainlit library provides the user interface and handles the chat interactions. + +Enjoy chatting with your documents! diff --git a/examples/chatbot/chainlit.md b/examples/chatbot/chainlit.md new file mode 100644 index 000000000000..f78320cb633d --- /dev/null +++ b/examples/chatbot/chainlit.md @@ -0,0 +1,45 @@ +# Quivr Chatbot Example + +This example demonstrates how to create a simple chatbot using Quivr and Chainlit. The chatbot allows users to upload a text file and then ask questions about its content. + +## Prerequisites + +- Python 3.8 or higher + +## Installation + +1. Clone the repository or navigate to the `backend/core/examples/chatbot` directory. + +2. Install the required dependencies: + + ``` + pip install -r requirements.txt + ``` + +## Running the Chatbot + +1. Start the Chainlit server: + + ``` + chainlit run main.py + ``` + +2. Open your web browser and go to the URL displayed in the terminal (usually `http://localhost:8000`). + +## Using the Chatbot + +1. When the chatbot interface loads, you will be prompted to upload a text file. + +2. Click on the upload area and select a `.txt` file from your computer. The file size should not exceed 20MB. + +3. After uploading, the chatbot will process the file and inform you when it's ready. + +4. You can now start asking questions about the content of the uploaded file. + +5. Type your questions in the chat input and press Enter. The chatbot will respond based on the information in the uploaded file. + +## How It Works + +The chatbot uses the Quivr library to create a "brain" from the uploaded text file. This brain is then used to answer questions about the file's content. The Chainlit library provides the user interface and handles the chat interactions. + +Enjoy chatting with your documents! diff --git a/examples/chatbot/main.py b/examples/chatbot/main.py new file mode 100644 index 000000000000..06814c11a27a --- /dev/null +++ b/examples/chatbot/main.py @@ -0,0 +1,63 @@ +import tempfile + +import chainlit as cl +from quivr_core import Brain + + +@cl.on_chat_start +async def on_chat_start(): + files = None + + # Wait for the user to upload a file + while files is None: + files = await cl.AskFileMessage( + content="Please upload a text .txt file to begin!", + accept=["text/plain"], + max_size_mb=20, + timeout=180, + ).send() + + file = files[0] + + msg = cl.Message(content=f"Processing `{file.name}`...") + await msg.send() + + with open(file.path, "r", encoding="utf-8") as f: + text = f.read() + + with tempfile.NamedTemporaryFile( + mode="w", suffix=".txt", delete=False + ) as temp_file: + temp_file.write(text) + temp_file.flush() + temp_file_path = temp_file.name + + brain = Brain.from_files(name="user_brain", file_paths=[temp_file_path]) + + # Store the file path in the session + cl.user_session.set("file_path", temp_file_path) + + # Let the user know that the system is ready + msg.content = f"Processing `{file.name}` done. You can now ask questions!" + await msg.update() + + cl.user_session.set("brain", brain) + + +@cl.on_message +async def main(message: cl.Message): + brain = cl.user_session.get("brain") # type: Brain + + if brain is None: + await cl.Message(content="Please upload a file first.").send() + return + + # Prepare the message for streaming + msg = cl.Message(content="") + await msg.send() + + # Use the ask_stream method for streaming responses + async for chunk in brain.ask_streaming(message.content): + await msg.stream_token(chunk.answer) + + await msg.send() diff --git a/examples/chatbot/pyproject.toml b/examples/chatbot/pyproject.toml new file mode 100644 index 000000000000..7f136f10ccbc --- /dev/null +++ b/examples/chatbot/pyproject.toml @@ -0,0 +1,27 @@ +[project] +name = "chatbot" +version = "0.1.0" +description = "Add your description here" +authors = [ + { name = "Stan Girard", email = "stan@quivr.app" } +] +dependencies = [ + "chainlit>=1.1.402", + "quivr-core[all] @ file:///home/stan/Dev/quivr/examples/chatbot/../../backend/core", +] +readme = "README.md" +requires-python = ">= 3.11" + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.rye] +managed = true +dev-dependencies = [] + +[tool.hatch.metadata] +allow-direct-references = true + +[tool.hatch.build.targets.wheel] +packages = ["src/chatbot"] diff --git a/examples/chatbot/requirements-dev.lock b/examples/chatbot/requirements-dev.lock new file mode 100644 index 000000000000..9a1935a4a0f0 --- /dev/null +++ b/examples/chatbot/requirements-dev.lock @@ -0,0 +1,724 @@ +# generated by rye +# use `rye lock` or `rye sync` to update this lockfile +# +# last locked with the following flags: +# pre: false +# features: [] +# all-features: false +# with-sources: false +# generate-hashes: false +# universal: false + +-e file:. +aiofiles==23.2.1 + # via chainlit + # via quivr-core +aiohappyeyeballs==2.4.0 + # via aiohttp +aiohttp==3.10.5 + # via langchain + # via langchain-community + # via llama-index-core + # via llama-index-legacy +aiosignal==1.3.1 + # via aiohttp +annotated-types==0.7.0 + # via pydantic +antlr4-python3-runtime==4.9.3 + # via omegaconf +anyio==3.7.1 + # via asyncer + # via httpx + # via openai + # via starlette + # via watchfiles +asyncer==0.0.2 + # via chainlit +attrs==24.2.0 + # via aiohttp +backoff==2.2.1 + # via unstructured +beautifulsoup4==4.12.3 + # via llama-index-readers-file + # via unstructured +bidict==0.23.1 + # via python-socketio +cachetools==5.5.0 + # via google-auth +certifi==2024.7.4 + # via httpcore + # via httpx + # via requests + # via unstructured-client +cffi==1.17.0 + # via cryptography +chainlit==1.1.402 + # via chatbot +chardet==5.2.0 + # via unstructured +charset-normalizer==3.3.2 + # via pdfminer-six + # via requests + # via unstructured-client +chevron==0.14.0 + # via literalai +click==8.1.7 + # via chainlit + # via nltk + # via uvicorn +cobble==0.1.4 + # via mammoth +coloredlogs==15.0.1 + # via onnxruntime +contourpy==1.2.1 + # via matplotlib +cryptography==43.0.0 + # via pdfminer-six +cycler==0.12.1 + # via matplotlib +dataclasses-json==0.5.14 + # via chainlit + # via langchain-community + # via llama-index-core + # via llama-index-legacy + # via unstructured +dataclasses-json-speakeasy==0.5.11 + # via unstructured-client +deprecated==1.2.14 + # via llama-index-core + # via llama-index-legacy + # via opentelemetry-api + # via opentelemetry-exporter-otlp-proto-grpc + # via opentelemetry-exporter-otlp-proto-http + # via opentelemetry-semantic-conventions + # via pikepdf +dirtyjson==1.0.8 + # via llama-index-core + # via llama-index-legacy +distro==1.9.0 + # via openai +docx2txt==0.8 + # via quivr-core +effdet==0.4.1 + # via unstructured +emoji==2.12.1 + # via unstructured +et-xmlfile==1.1.0 + # via openpyxl +faiss-cpu==1.8.0.post1 + # via quivr-core +fastapi==0.110.3 + # via chainlit +filelock==3.15.4 + # via huggingface-hub + # via torch + # via transformers + # via triton +filetype==1.2.0 + # via chainlit + # via unstructured +fire==0.6.0 + # via pdf2docx +flatbuffers==24.3.25 + # via onnxruntime +fonttools==4.53.1 + # via matplotlib + # via pdf2docx +frozenlist==1.4.1 + # via aiohttp + # via aiosignal +fsspec==2024.6.1 + # via huggingface-hub + # via llama-index-core + # via llama-index-legacy + # via torch +google-api-core==2.19.1 + # via google-cloud-vision +google-auth==2.34.0 + # via google-api-core + # via google-cloud-vision +google-cloud-vision==3.7.4 + # via unstructured +googleapis-common-protos==1.63.2 + # via google-api-core + # via grpcio-status + # via opentelemetry-exporter-otlp-proto-grpc + # via opentelemetry-exporter-otlp-proto-http +greenlet==3.0.3 + # via sqlalchemy +grpcio==1.65.5 + # via google-api-core + # via grpcio-status + # via opentelemetry-exporter-otlp-proto-grpc +grpcio-status==1.62.3 + # via google-api-core +h11==0.14.0 + # via httpcore + # via uvicorn + # via wsproto +httpcore==1.0.5 + # via httpx +httpx==0.27.0 + # via chainlit + # via langsmith + # via literalai + # via llama-cloud + # via llama-index-core + # via llama-index-legacy + # via openai + # via quivr-core +huggingface-hub==0.24.6 + # via timm + # via tokenizers + # via transformers + # via unstructured-inference +humanfriendly==10.0 + # via coloredlogs +idna==3.7 + # via anyio + # via httpx + # via requests + # via unstructured-client + # via yarl +importlib-metadata==8.0.0 + # via opentelemetry-api +iopath==0.1.10 + # via layoutparser +jinja2==3.1.4 + # via torch +jiter==0.5.0 + # via openai +joblib==1.4.2 + # via nltk +jsonpatch==1.33 + # via langchain-core +jsonpath-python==1.0.6 + # via unstructured-client +jsonpointer==3.0.0 + # via jsonpatch +kiwisolver==1.4.5 + # via matplotlib +langchain==0.2.14 + # via langchain-community + # via megaparse + # via quivr-core +langchain-community==0.2.12 + # via megaparse + # via quivr-core +langchain-core==0.2.34 + # via langchain + # via langchain-community + # via langchain-openai + # via langchain-text-splitters + # via megaparse + # via quivr-core +langchain-openai==0.1.22 + # via megaparse +langchain-text-splitters==0.2.2 + # via langchain +langdetect==1.0.9 + # via unstructured +langsmith==0.1.101 + # via langchain + # via langchain-community + # via langchain-core +layoutparser==0.3.4 + # via unstructured-inference +lazify==0.4.0 + # via chainlit +literalai==0.0.607 + # via chainlit +llama-cloud==0.0.14 + # via llama-index-indices-managed-llama-cloud +llama-index==0.10.68 + # via megaparse +llama-index-agent-openai==0.2.9 + # via llama-index + # via llama-index-program-openai +llama-index-cli==0.1.13 + # via llama-index +llama-index-core==0.10.68.post1 + # via llama-index + # via llama-index-agent-openai + # via llama-index-cli + # via llama-index-embeddings-openai + # via llama-index-indices-managed-llama-cloud + # via llama-index-llms-openai + # via llama-index-multi-modal-llms-openai + # via llama-index-program-openai + # via llama-index-question-gen-openai + # via llama-index-readers-file + # via llama-index-readers-llama-parse + # via llama-parse +llama-index-embeddings-openai==0.1.11 + # via llama-index + # via llama-index-cli +llama-index-indices-managed-llama-cloud==0.2.7 + # via llama-index +llama-index-legacy==0.9.48.post3 + # via llama-index +llama-index-llms-openai==0.1.31 + # via llama-index + # via llama-index-agent-openai + # via llama-index-cli + # via llama-index-multi-modal-llms-openai + # via llama-index-program-openai + # via llama-index-question-gen-openai +llama-index-multi-modal-llms-openai==0.1.9 + # via llama-index +llama-index-program-openai==0.1.7 + # via llama-index + # via llama-index-question-gen-openai +llama-index-question-gen-openai==0.1.3 + # via llama-index +llama-index-readers-file==0.1.33 + # via llama-index +llama-index-readers-llama-parse==0.1.6 + # via llama-index +llama-parse==0.4.9 + # via llama-index-readers-llama-parse + # via megaparse +lxml==5.3.0 + # via pikepdf + # via python-docx + # via python-pptx + # via unstructured +mammoth==1.8.0 + # via megaparse +markdown==3.7 + # via unstructured +markdown-it-py==3.0.0 + # via rich +markupsafe==2.1.5 + # via jinja2 +marshmallow==3.22.0 + # via dataclasses-json + # via dataclasses-json-speakeasy + # via unstructured-client +matplotlib==3.9.2 + # via pycocotools + # via unstructured-inference +mdurl==0.1.2 + # via markdown-it-py +megaparse==0.0.31 + # via quivr-core +mpmath==1.3.0 + # via sympy +multidict==6.0.5 + # via aiohttp + # via yarl +mypy-extensions==1.0.0 + # via typing-inspect + # via unstructured-client +nest-asyncio==1.6.0 + # via chainlit + # via llama-index-core + # via llama-index-legacy +networkx==3.3 + # via llama-index-core + # via llama-index-legacy + # via torch + # via unstructured +nltk==3.9.1 + # via llama-index-core + # via llama-index-legacy + # via unstructured +numpy==1.26.4 + # via chainlit + # via contourpy + # via faiss-cpu + # via langchain + # via langchain-community + # via layoutparser + # via llama-index-core + # via llama-index-legacy + # via matplotlib + # via onnx + # via onnxruntime + # via opencv-python + # via opencv-python-headless + # via pandas + # via pdf2docx + # via pycocotools + # via scipy + # via torchvision + # via transformers + # via unstructured +nvidia-cublas-cu12==12.1.3.1 + # via nvidia-cudnn-cu12 + # via nvidia-cusolver-cu12 + # via torch +nvidia-cuda-cupti-cu12==12.1.105 + # via torch +nvidia-cuda-nvrtc-cu12==12.1.105 + # via torch +nvidia-cuda-runtime-cu12==12.1.105 + # via torch +nvidia-cudnn-cu12==9.1.0.70 + # via torch +nvidia-cufft-cu12==11.0.2.54 + # via torch +nvidia-curand-cu12==10.3.2.106 + # via torch +nvidia-cusolver-cu12==11.4.5.107 + # via torch +nvidia-cusparse-cu12==12.1.0.106 + # via nvidia-cusolver-cu12 + # via torch +nvidia-nccl-cu12==2.20.5 + # via torch +nvidia-nvjitlink-cu12==12.6.20 + # via nvidia-cusolver-cu12 + # via nvidia-cusparse-cu12 +nvidia-nvtx-cu12==12.1.105 + # via torch +omegaconf==2.3.0 + # via effdet +onnx==1.16.2 + # via unstructured + # via unstructured-inference +onnxruntime==1.19.0 + # via unstructured-inference +openai==1.42.0 + # via langchain-openai + # via llama-index-agent-openai + # via llama-index-legacy + # via llama-index-llms-openai +opencv-python==4.10.0.84 + # via layoutparser + # via unstructured-inference +opencv-python-headless==4.10.0.84 + # via pdf2docx +openpyxl==3.1.5 + # via unstructured +opentelemetry-api==1.26.0 + # via opentelemetry-exporter-otlp-proto-grpc + # via opentelemetry-exporter-otlp-proto-http + # via opentelemetry-instrumentation + # via opentelemetry-sdk + # via opentelemetry-semantic-conventions + # via uptrace +opentelemetry-exporter-otlp==1.26.0 + # via uptrace +opentelemetry-exporter-otlp-proto-common==1.26.0 + # via opentelemetry-exporter-otlp-proto-grpc + # via opentelemetry-exporter-otlp-proto-http +opentelemetry-exporter-otlp-proto-grpc==1.26.0 + # via opentelemetry-exporter-otlp +opentelemetry-exporter-otlp-proto-http==1.26.0 + # via opentelemetry-exporter-otlp +opentelemetry-instrumentation==0.47b0 + # via uptrace +opentelemetry-proto==1.26.0 + # via opentelemetry-exporter-otlp-proto-common + # via opentelemetry-exporter-otlp-proto-grpc + # via opentelemetry-exporter-otlp-proto-http +opentelemetry-sdk==1.26.0 + # via opentelemetry-exporter-otlp-proto-grpc + # via opentelemetry-exporter-otlp-proto-http + # via uptrace +opentelemetry-semantic-conventions==0.47b0 + # via opentelemetry-sdk +orjson==3.10.7 + # via langsmith +packaging==23.2 + # via chainlit + # via faiss-cpu + # via huggingface-hub + # via langchain-core + # via literalai + # via marshmallow + # via matplotlib + # via onnxruntime + # via pikepdf + # via transformers + # via unstructured-client + # via unstructured-pytesseract +pandas==2.2.2 + # via layoutparser + # via llama-index-core + # via llama-index-legacy + # via unstructured +pdf2docx==0.5.8 + # via megaparse +pdf2image==1.17.0 + # via layoutparser + # via unstructured +pdfminer-six==20231228 + # via pdfplumber + # via unstructured +pdfplumber==0.11.4 + # via layoutparser + # via megaparse +pikepdf==9.1.2 + # via unstructured +pillow==10.4.0 + # via layoutparser + # via llama-index-core + # via matplotlib + # via pdf2image + # via pdfplumber + # via pikepdf + # via pillow-heif + # via python-pptx + # via torchvision + # via unstructured-pytesseract +pillow-heif==0.18.0 + # via unstructured +portalocker==2.10.1 + # via iopath +proto-plus==1.24.0 + # via google-api-core + # via google-cloud-vision +protobuf==4.25.4 + # via google-api-core + # via google-cloud-vision + # via googleapis-common-protos + # via grpcio-status + # via onnx + # via onnxruntime + # via opentelemetry-proto + # via proto-plus +psutil==6.0.0 + # via unstructured +pyasn1==0.6.0 + # via pyasn1-modules + # via rsa +pyasn1-modules==0.4.0 + # via google-auth +pycocotools==2.0.8 + # via effdet +pycparser==2.22 + # via cffi +pycryptodome==3.20.0 + # via megaparse +pydantic==2.8.2 + # via chainlit + # via fastapi + # via langchain + # via langchain-core + # via langsmith + # via literalai + # via llama-cloud + # via llama-index-core + # via openai + # via quivr-core +pydantic-core==2.20.1 + # via pydantic +pygments==2.18.0 + # via rich +pyjwt==2.9.0 + # via chainlit +pymupdf==1.24.9 + # via pdf2docx +pymupdfb==1.24.9 + # via pymupdf +pypandoc==1.13 + # via unstructured +pyparsing==3.1.2 + # via matplotlib +pypdf==4.3.1 + # via llama-index-readers-file + # via unstructured +pypdfium2==4.30.0 + # via pdfplumber +python-dateutil==2.9.0.post0 + # via matplotlib + # via pandas + # via unstructured-client +python-docx==1.1.2 + # via megaparse + # via pdf2docx + # via unstructured +python-dotenv==1.0.1 + # via chainlit + # via megaparse +python-engineio==4.9.1 + # via python-socketio +python-iso639==2024.4.27 + # via unstructured +python-magic==0.4.27 + # via unstructured +python-multipart==0.0.9 + # via chainlit + # via unstructured-inference +python-pptx==1.0.2 + # via megaparse + # via unstructured +python-socketio==5.11.3 + # via chainlit +pytz==2024.1 + # via pandas +pyyaml==6.0.2 + # via huggingface-hub + # via langchain + # via langchain-community + # via langchain-core + # via layoutparser + # via llama-index-core + # via omegaconf + # via timm + # via transformers +quivr-core @ file:///home/stan/Dev/quivr/examples/chatbot/../../backend/core + # via chatbot +rapidfuzz==3.9.6 + # via unstructured + # via unstructured-inference +regex==2024.7.24 + # via nltk + # via tiktoken + # via transformers +requests==2.32.3 + # via google-api-core + # via huggingface-hub + # via langchain + # via langchain-community + # via langsmith + # via llama-index-core + # via llama-index-legacy + # via opentelemetry-exporter-otlp-proto-http + # via tiktoken + # via transformers + # via unstructured + # via unstructured-client +rich==13.7.1 + # via quivr-core +rsa==4.9 + # via google-auth +safetensors==0.4.4 + # via timm + # via transformers +scipy==1.14.1 + # via layoutparser +setuptools==73.0.1 + # via opentelemetry-instrumentation +simple-websocket==1.0.0 + # via python-engineio +six==1.16.0 + # via fire + # via langdetect + # via python-dateutil + # via unstructured-client +sniffio==1.3.1 + # via anyio + # via httpx + # via openai +soupsieve==2.6 + # via beautifulsoup4 +sqlalchemy==2.0.32 + # via langchain + # via langchain-community + # via llama-index-core + # via llama-index-legacy +starlette==0.37.2 + # via chainlit + # via fastapi +striprtf==0.0.26 + # via llama-index-readers-file +sympy==1.13.2 + # via onnxruntime + # via torch +syncer==2.0.3 + # via chainlit +tabulate==0.9.0 + # via unstructured +tenacity==8.5.0 + # via langchain + # via langchain-community + # via langchain-core + # via llama-index-core + # via llama-index-legacy +termcolor==2.4.0 + # via fire +tiktoken==0.7.0 + # via langchain-openai + # via llama-index-core + # via llama-index-legacy + # via quivr-core +timm==1.0.8 + # via effdet + # via unstructured-inference +tokenizers==0.19.1 + # via transformers +tomli==2.0.1 + # via chainlit +torch==2.4.0 + # via effdet + # via timm + # via torchvision + # via unstructured-inference +torchvision==0.19.0 + # via effdet + # via timm +tqdm==4.66.5 + # via huggingface-hub + # via iopath + # via llama-index-core + # via nltk + # via openai + # via transformers + # via unstructured +transformers==4.44.1 + # via unstructured-inference +triton==3.0.0 + # via torch +typing-extensions==4.12.2 + # via emoji + # via fastapi + # via huggingface-hub + # via iopath + # via langchain-core + # via llama-index-core + # via llama-index-legacy + # via openai + # via opentelemetry-sdk + # via pydantic + # via pydantic-core + # via python-docx + # via python-pptx + # via sqlalchemy + # via torch + # via typing-inspect + # via unstructured + # via unstructured-client +typing-inspect==0.9.0 + # via dataclasses-json + # via dataclasses-json-speakeasy + # via llama-index-core + # via llama-index-legacy + # via unstructured-client +tzdata==2024.1 + # via pandas +unstructured==0.15.7 + # via megaparse + # via quivr-core +unstructured-client==0.18.0 + # via unstructured +unstructured-inference==0.7.36 + # via unstructured +unstructured-pytesseract==0.3.13 + # via unstructured +uptrace==1.26.0 + # via chainlit +urllib3==2.2.2 + # via requests + # via unstructured-client +uvicorn==0.25.0 + # via chainlit +watchfiles==0.20.0 + # via chainlit +wrapt==1.16.0 + # via deprecated + # via llama-index-core + # via opentelemetry-instrumentation + # via unstructured +wsproto==1.2.0 + # via simple-websocket +xlrd==2.0.1 + # via unstructured +xlsxwriter==3.2.0 + # via python-pptx +yarl==1.9.4 + # via aiohttp +zipp==3.20.0 + # via importlib-metadata diff --git a/examples/chatbot/requirements.lock b/examples/chatbot/requirements.lock new file mode 100644 index 000000000000..9a1935a4a0f0 --- /dev/null +++ b/examples/chatbot/requirements.lock @@ -0,0 +1,724 @@ +# generated by rye +# use `rye lock` or `rye sync` to update this lockfile +# +# last locked with the following flags: +# pre: false +# features: [] +# all-features: false +# with-sources: false +# generate-hashes: false +# universal: false + +-e file:. +aiofiles==23.2.1 + # via chainlit + # via quivr-core +aiohappyeyeballs==2.4.0 + # via aiohttp +aiohttp==3.10.5 + # via langchain + # via langchain-community + # via llama-index-core + # via llama-index-legacy +aiosignal==1.3.1 + # via aiohttp +annotated-types==0.7.0 + # via pydantic +antlr4-python3-runtime==4.9.3 + # via omegaconf +anyio==3.7.1 + # via asyncer + # via httpx + # via openai + # via starlette + # via watchfiles +asyncer==0.0.2 + # via chainlit +attrs==24.2.0 + # via aiohttp +backoff==2.2.1 + # via unstructured +beautifulsoup4==4.12.3 + # via llama-index-readers-file + # via unstructured +bidict==0.23.1 + # via python-socketio +cachetools==5.5.0 + # via google-auth +certifi==2024.7.4 + # via httpcore + # via httpx + # via requests + # via unstructured-client +cffi==1.17.0 + # via cryptography +chainlit==1.1.402 + # via chatbot +chardet==5.2.0 + # via unstructured +charset-normalizer==3.3.2 + # via pdfminer-six + # via requests + # via unstructured-client +chevron==0.14.0 + # via literalai +click==8.1.7 + # via chainlit + # via nltk + # via uvicorn +cobble==0.1.4 + # via mammoth +coloredlogs==15.0.1 + # via onnxruntime +contourpy==1.2.1 + # via matplotlib +cryptography==43.0.0 + # via pdfminer-six +cycler==0.12.1 + # via matplotlib +dataclasses-json==0.5.14 + # via chainlit + # via langchain-community + # via llama-index-core + # via llama-index-legacy + # via unstructured +dataclasses-json-speakeasy==0.5.11 + # via unstructured-client +deprecated==1.2.14 + # via llama-index-core + # via llama-index-legacy + # via opentelemetry-api + # via opentelemetry-exporter-otlp-proto-grpc + # via opentelemetry-exporter-otlp-proto-http + # via opentelemetry-semantic-conventions + # via pikepdf +dirtyjson==1.0.8 + # via llama-index-core + # via llama-index-legacy +distro==1.9.0 + # via openai +docx2txt==0.8 + # via quivr-core +effdet==0.4.1 + # via unstructured +emoji==2.12.1 + # via unstructured +et-xmlfile==1.1.0 + # via openpyxl +faiss-cpu==1.8.0.post1 + # via quivr-core +fastapi==0.110.3 + # via chainlit +filelock==3.15.4 + # via huggingface-hub + # via torch + # via transformers + # via triton +filetype==1.2.0 + # via chainlit + # via unstructured +fire==0.6.0 + # via pdf2docx +flatbuffers==24.3.25 + # via onnxruntime +fonttools==4.53.1 + # via matplotlib + # via pdf2docx +frozenlist==1.4.1 + # via aiohttp + # via aiosignal +fsspec==2024.6.1 + # via huggingface-hub + # via llama-index-core + # via llama-index-legacy + # via torch +google-api-core==2.19.1 + # via google-cloud-vision +google-auth==2.34.0 + # via google-api-core + # via google-cloud-vision +google-cloud-vision==3.7.4 + # via unstructured +googleapis-common-protos==1.63.2 + # via google-api-core + # via grpcio-status + # via opentelemetry-exporter-otlp-proto-grpc + # via opentelemetry-exporter-otlp-proto-http +greenlet==3.0.3 + # via sqlalchemy +grpcio==1.65.5 + # via google-api-core + # via grpcio-status + # via opentelemetry-exporter-otlp-proto-grpc +grpcio-status==1.62.3 + # via google-api-core +h11==0.14.0 + # via httpcore + # via uvicorn + # via wsproto +httpcore==1.0.5 + # via httpx +httpx==0.27.0 + # via chainlit + # via langsmith + # via literalai + # via llama-cloud + # via llama-index-core + # via llama-index-legacy + # via openai + # via quivr-core +huggingface-hub==0.24.6 + # via timm + # via tokenizers + # via transformers + # via unstructured-inference +humanfriendly==10.0 + # via coloredlogs +idna==3.7 + # via anyio + # via httpx + # via requests + # via unstructured-client + # via yarl +importlib-metadata==8.0.0 + # via opentelemetry-api +iopath==0.1.10 + # via layoutparser +jinja2==3.1.4 + # via torch +jiter==0.5.0 + # via openai +joblib==1.4.2 + # via nltk +jsonpatch==1.33 + # via langchain-core +jsonpath-python==1.0.6 + # via unstructured-client +jsonpointer==3.0.0 + # via jsonpatch +kiwisolver==1.4.5 + # via matplotlib +langchain==0.2.14 + # via langchain-community + # via megaparse + # via quivr-core +langchain-community==0.2.12 + # via megaparse + # via quivr-core +langchain-core==0.2.34 + # via langchain + # via langchain-community + # via langchain-openai + # via langchain-text-splitters + # via megaparse + # via quivr-core +langchain-openai==0.1.22 + # via megaparse +langchain-text-splitters==0.2.2 + # via langchain +langdetect==1.0.9 + # via unstructured +langsmith==0.1.101 + # via langchain + # via langchain-community + # via langchain-core +layoutparser==0.3.4 + # via unstructured-inference +lazify==0.4.0 + # via chainlit +literalai==0.0.607 + # via chainlit +llama-cloud==0.0.14 + # via llama-index-indices-managed-llama-cloud +llama-index==0.10.68 + # via megaparse +llama-index-agent-openai==0.2.9 + # via llama-index + # via llama-index-program-openai +llama-index-cli==0.1.13 + # via llama-index +llama-index-core==0.10.68.post1 + # via llama-index + # via llama-index-agent-openai + # via llama-index-cli + # via llama-index-embeddings-openai + # via llama-index-indices-managed-llama-cloud + # via llama-index-llms-openai + # via llama-index-multi-modal-llms-openai + # via llama-index-program-openai + # via llama-index-question-gen-openai + # via llama-index-readers-file + # via llama-index-readers-llama-parse + # via llama-parse +llama-index-embeddings-openai==0.1.11 + # via llama-index + # via llama-index-cli +llama-index-indices-managed-llama-cloud==0.2.7 + # via llama-index +llama-index-legacy==0.9.48.post3 + # via llama-index +llama-index-llms-openai==0.1.31 + # via llama-index + # via llama-index-agent-openai + # via llama-index-cli + # via llama-index-multi-modal-llms-openai + # via llama-index-program-openai + # via llama-index-question-gen-openai +llama-index-multi-modal-llms-openai==0.1.9 + # via llama-index +llama-index-program-openai==0.1.7 + # via llama-index + # via llama-index-question-gen-openai +llama-index-question-gen-openai==0.1.3 + # via llama-index +llama-index-readers-file==0.1.33 + # via llama-index +llama-index-readers-llama-parse==0.1.6 + # via llama-index +llama-parse==0.4.9 + # via llama-index-readers-llama-parse + # via megaparse +lxml==5.3.0 + # via pikepdf + # via python-docx + # via python-pptx + # via unstructured +mammoth==1.8.0 + # via megaparse +markdown==3.7 + # via unstructured +markdown-it-py==3.0.0 + # via rich +markupsafe==2.1.5 + # via jinja2 +marshmallow==3.22.0 + # via dataclasses-json + # via dataclasses-json-speakeasy + # via unstructured-client +matplotlib==3.9.2 + # via pycocotools + # via unstructured-inference +mdurl==0.1.2 + # via markdown-it-py +megaparse==0.0.31 + # via quivr-core +mpmath==1.3.0 + # via sympy +multidict==6.0.5 + # via aiohttp + # via yarl +mypy-extensions==1.0.0 + # via typing-inspect + # via unstructured-client +nest-asyncio==1.6.0 + # via chainlit + # via llama-index-core + # via llama-index-legacy +networkx==3.3 + # via llama-index-core + # via llama-index-legacy + # via torch + # via unstructured +nltk==3.9.1 + # via llama-index-core + # via llama-index-legacy + # via unstructured +numpy==1.26.4 + # via chainlit + # via contourpy + # via faiss-cpu + # via langchain + # via langchain-community + # via layoutparser + # via llama-index-core + # via llama-index-legacy + # via matplotlib + # via onnx + # via onnxruntime + # via opencv-python + # via opencv-python-headless + # via pandas + # via pdf2docx + # via pycocotools + # via scipy + # via torchvision + # via transformers + # via unstructured +nvidia-cublas-cu12==12.1.3.1 + # via nvidia-cudnn-cu12 + # via nvidia-cusolver-cu12 + # via torch +nvidia-cuda-cupti-cu12==12.1.105 + # via torch +nvidia-cuda-nvrtc-cu12==12.1.105 + # via torch +nvidia-cuda-runtime-cu12==12.1.105 + # via torch +nvidia-cudnn-cu12==9.1.0.70 + # via torch +nvidia-cufft-cu12==11.0.2.54 + # via torch +nvidia-curand-cu12==10.3.2.106 + # via torch +nvidia-cusolver-cu12==11.4.5.107 + # via torch +nvidia-cusparse-cu12==12.1.0.106 + # via nvidia-cusolver-cu12 + # via torch +nvidia-nccl-cu12==2.20.5 + # via torch +nvidia-nvjitlink-cu12==12.6.20 + # via nvidia-cusolver-cu12 + # via nvidia-cusparse-cu12 +nvidia-nvtx-cu12==12.1.105 + # via torch +omegaconf==2.3.0 + # via effdet +onnx==1.16.2 + # via unstructured + # via unstructured-inference +onnxruntime==1.19.0 + # via unstructured-inference +openai==1.42.0 + # via langchain-openai + # via llama-index-agent-openai + # via llama-index-legacy + # via llama-index-llms-openai +opencv-python==4.10.0.84 + # via layoutparser + # via unstructured-inference +opencv-python-headless==4.10.0.84 + # via pdf2docx +openpyxl==3.1.5 + # via unstructured +opentelemetry-api==1.26.0 + # via opentelemetry-exporter-otlp-proto-grpc + # via opentelemetry-exporter-otlp-proto-http + # via opentelemetry-instrumentation + # via opentelemetry-sdk + # via opentelemetry-semantic-conventions + # via uptrace +opentelemetry-exporter-otlp==1.26.0 + # via uptrace +opentelemetry-exporter-otlp-proto-common==1.26.0 + # via opentelemetry-exporter-otlp-proto-grpc + # via opentelemetry-exporter-otlp-proto-http +opentelemetry-exporter-otlp-proto-grpc==1.26.0 + # via opentelemetry-exporter-otlp +opentelemetry-exporter-otlp-proto-http==1.26.0 + # via opentelemetry-exporter-otlp +opentelemetry-instrumentation==0.47b0 + # via uptrace +opentelemetry-proto==1.26.0 + # via opentelemetry-exporter-otlp-proto-common + # via opentelemetry-exporter-otlp-proto-grpc + # via opentelemetry-exporter-otlp-proto-http +opentelemetry-sdk==1.26.0 + # via opentelemetry-exporter-otlp-proto-grpc + # via opentelemetry-exporter-otlp-proto-http + # via uptrace +opentelemetry-semantic-conventions==0.47b0 + # via opentelemetry-sdk +orjson==3.10.7 + # via langsmith +packaging==23.2 + # via chainlit + # via faiss-cpu + # via huggingface-hub + # via langchain-core + # via literalai + # via marshmallow + # via matplotlib + # via onnxruntime + # via pikepdf + # via transformers + # via unstructured-client + # via unstructured-pytesseract +pandas==2.2.2 + # via layoutparser + # via llama-index-core + # via llama-index-legacy + # via unstructured +pdf2docx==0.5.8 + # via megaparse +pdf2image==1.17.0 + # via layoutparser + # via unstructured +pdfminer-six==20231228 + # via pdfplumber + # via unstructured +pdfplumber==0.11.4 + # via layoutparser + # via megaparse +pikepdf==9.1.2 + # via unstructured +pillow==10.4.0 + # via layoutparser + # via llama-index-core + # via matplotlib + # via pdf2image + # via pdfplumber + # via pikepdf + # via pillow-heif + # via python-pptx + # via torchvision + # via unstructured-pytesseract +pillow-heif==0.18.0 + # via unstructured +portalocker==2.10.1 + # via iopath +proto-plus==1.24.0 + # via google-api-core + # via google-cloud-vision +protobuf==4.25.4 + # via google-api-core + # via google-cloud-vision + # via googleapis-common-protos + # via grpcio-status + # via onnx + # via onnxruntime + # via opentelemetry-proto + # via proto-plus +psutil==6.0.0 + # via unstructured +pyasn1==0.6.0 + # via pyasn1-modules + # via rsa +pyasn1-modules==0.4.0 + # via google-auth +pycocotools==2.0.8 + # via effdet +pycparser==2.22 + # via cffi +pycryptodome==3.20.0 + # via megaparse +pydantic==2.8.2 + # via chainlit + # via fastapi + # via langchain + # via langchain-core + # via langsmith + # via literalai + # via llama-cloud + # via llama-index-core + # via openai + # via quivr-core +pydantic-core==2.20.1 + # via pydantic +pygments==2.18.0 + # via rich +pyjwt==2.9.0 + # via chainlit +pymupdf==1.24.9 + # via pdf2docx +pymupdfb==1.24.9 + # via pymupdf +pypandoc==1.13 + # via unstructured +pyparsing==3.1.2 + # via matplotlib +pypdf==4.3.1 + # via llama-index-readers-file + # via unstructured +pypdfium2==4.30.0 + # via pdfplumber +python-dateutil==2.9.0.post0 + # via matplotlib + # via pandas + # via unstructured-client +python-docx==1.1.2 + # via megaparse + # via pdf2docx + # via unstructured +python-dotenv==1.0.1 + # via chainlit + # via megaparse +python-engineio==4.9.1 + # via python-socketio +python-iso639==2024.4.27 + # via unstructured +python-magic==0.4.27 + # via unstructured +python-multipart==0.0.9 + # via chainlit + # via unstructured-inference +python-pptx==1.0.2 + # via megaparse + # via unstructured +python-socketio==5.11.3 + # via chainlit +pytz==2024.1 + # via pandas +pyyaml==6.0.2 + # via huggingface-hub + # via langchain + # via langchain-community + # via langchain-core + # via layoutparser + # via llama-index-core + # via omegaconf + # via timm + # via transformers +quivr-core @ file:///home/stan/Dev/quivr/examples/chatbot/../../backend/core + # via chatbot +rapidfuzz==3.9.6 + # via unstructured + # via unstructured-inference +regex==2024.7.24 + # via nltk + # via tiktoken + # via transformers +requests==2.32.3 + # via google-api-core + # via huggingface-hub + # via langchain + # via langchain-community + # via langsmith + # via llama-index-core + # via llama-index-legacy + # via opentelemetry-exporter-otlp-proto-http + # via tiktoken + # via transformers + # via unstructured + # via unstructured-client +rich==13.7.1 + # via quivr-core +rsa==4.9 + # via google-auth +safetensors==0.4.4 + # via timm + # via transformers +scipy==1.14.1 + # via layoutparser +setuptools==73.0.1 + # via opentelemetry-instrumentation +simple-websocket==1.0.0 + # via python-engineio +six==1.16.0 + # via fire + # via langdetect + # via python-dateutil + # via unstructured-client +sniffio==1.3.1 + # via anyio + # via httpx + # via openai +soupsieve==2.6 + # via beautifulsoup4 +sqlalchemy==2.0.32 + # via langchain + # via langchain-community + # via llama-index-core + # via llama-index-legacy +starlette==0.37.2 + # via chainlit + # via fastapi +striprtf==0.0.26 + # via llama-index-readers-file +sympy==1.13.2 + # via onnxruntime + # via torch +syncer==2.0.3 + # via chainlit +tabulate==0.9.0 + # via unstructured +tenacity==8.5.0 + # via langchain + # via langchain-community + # via langchain-core + # via llama-index-core + # via llama-index-legacy +termcolor==2.4.0 + # via fire +tiktoken==0.7.0 + # via langchain-openai + # via llama-index-core + # via llama-index-legacy + # via quivr-core +timm==1.0.8 + # via effdet + # via unstructured-inference +tokenizers==0.19.1 + # via transformers +tomli==2.0.1 + # via chainlit +torch==2.4.0 + # via effdet + # via timm + # via torchvision + # via unstructured-inference +torchvision==0.19.0 + # via effdet + # via timm +tqdm==4.66.5 + # via huggingface-hub + # via iopath + # via llama-index-core + # via nltk + # via openai + # via transformers + # via unstructured +transformers==4.44.1 + # via unstructured-inference +triton==3.0.0 + # via torch +typing-extensions==4.12.2 + # via emoji + # via fastapi + # via huggingface-hub + # via iopath + # via langchain-core + # via llama-index-core + # via llama-index-legacy + # via openai + # via opentelemetry-sdk + # via pydantic + # via pydantic-core + # via python-docx + # via python-pptx + # via sqlalchemy + # via torch + # via typing-inspect + # via unstructured + # via unstructured-client +typing-inspect==0.9.0 + # via dataclasses-json + # via dataclasses-json-speakeasy + # via llama-index-core + # via llama-index-legacy + # via unstructured-client +tzdata==2024.1 + # via pandas +unstructured==0.15.7 + # via megaparse + # via quivr-core +unstructured-client==0.18.0 + # via unstructured +unstructured-inference==0.7.36 + # via unstructured +unstructured-pytesseract==0.3.13 + # via unstructured +uptrace==1.26.0 + # via chainlit +urllib3==2.2.2 + # via requests + # via unstructured-client +uvicorn==0.25.0 + # via chainlit +watchfiles==0.20.0 + # via chainlit +wrapt==1.16.0 + # via deprecated + # via llama-index-core + # via opentelemetry-instrumentation + # via unstructured +wsproto==1.2.0 + # via simple-websocket +xlrd==2.0.1 + # via unstructured +xlsxwriter==3.2.0 + # via python-pptx +yarl==1.9.4 + # via aiohttp +zipp==3.20.0 + # via importlib-metadata diff --git a/examples/chatbot/requirements.txt b/examples/chatbot/requirements.txt new file mode 100644 index 000000000000..9f39bc404ba3 --- /dev/null +++ b/examples/chatbot/requirements.txt @@ -0,0 +1,2 @@ +quivr-core[base]==0.0.8 +chainlit==1.1.306 \ No newline at end of file diff --git a/examples/chatbot/toto.py b/examples/chatbot/toto.py new file mode 100644 index 000000000000..299e75b04a2f --- /dev/null +++ b/examples/chatbot/toto.py @@ -0,0 +1,16 @@ +import tempfile + +from quivr_core import Brain + +if __name__ == "__main__": + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt") as temp_file: + temp_file.write("Gold is metal.") + temp_file.flush() + + brain = Brain.from_files(name="test_brain", file_paths=[temp_file.name]) + + answer = brain.ask("Property of gold?") + + print("answer :", answer) + + print("brain information: ", brain) \ No newline at end of file diff --git a/examples/pdf_parsing_tika.py b/examples/pdf_parsing_tika.py new file mode 100644 index 000000000000..c84f27f78538 --- /dev/null +++ b/examples/pdf_parsing_tika.py @@ -0,0 +1,42 @@ +from langchain_core.embeddings import DeterministicFakeEmbedding +from langchain_core.language_models import FakeListChatModel +from rich.console import Console +from rich.panel import Panel +from rich.prompt import Prompt + +from quivr_core import Brain +from quivr_core.config import LLMEndpointConfig +from quivr_core.llm.llm_endpoint import LLMEndpoint + +if __name__ == "__main__": + brain = Brain.from_files( + name="test_brain", + file_paths=["tests/processor/data/dummy.pdf"], + llm=LLMEndpoint( + llm=FakeListChatModel(responses=["good"]), + llm_config=LLMEndpointConfig(model="fake_model", llm_base_url="local"), + ), + embedder=DeterministicFakeEmbedding(size=20), + ) + # Check brain info + brain.print_info() + + console = Console() + console.print(Panel.fit("Ask your brain !", style="bold magenta")) + + while True: + # Get user input + question = Prompt.ask("[bold cyan]Question[/bold cyan]") + + # Check if user wants to exit + if question.lower() == "exit": + console.print(Panel("Goodbye!", style="bold yellow")) + break + + answer = brain.ask(question) + # Print the answer with typing effect + console.print(f"[bold green]Quivr Assistant[/bold green]: {answer.answer}") + + console.print("-" * console.width) + + brain.print_info() diff --git a/examples/simple_question.py b/examples/simple_question.py new file mode 100644 index 000000000000..ec25d3bfd4cd --- /dev/null +++ b/examples/simple_question.py @@ -0,0 +1,16 @@ +import tempfile + +from quivr_core import Brain + +if __name__ == "__main__": + with tempfile.NamedTemporaryFile(mode="w", suffix=".txt") as temp_file: + temp_file.write("Gold is metal.") + temp_file.flush() + + brain = Brain.from_files(name="test_brain", file_paths=[temp_file.name]) + + answer = brain.ask("Property of gold?") + + print("answer :", answer.answer) + + print("brain information: ", brain) diff --git a/frontend/app/chat/[chatId]/components/ActionsBar/components/KnowledgeToFeed/components/FromConnections/FileLine/FileLine.tsx b/frontend/app/chat/[chatId]/components/ActionsBar/components/KnowledgeToFeed/components/FromConnections/FileLine/FileLine.tsx index 069cf9df127c..6073a7cf9de2 100644 --- a/frontend/app/chat/[chatId]/components/ActionsBar/components/KnowledgeToFeed/components/FromConnections/FileLine/FileLine.tsx +++ b/frontend/app/chat/[chatId]/components/ActionsBar/components/KnowledgeToFeed/components/FromConnections/FileLine/FileLine.tsx @@ -4,12 +4,14 @@ interface FileLineProps { name: string; selectable: boolean; id: string; + icon?: string; } export const FileLine = ({ name, selectable, id, + icon }: FileLineProps): JSX.Element => { return ( ); }; diff --git a/frontend/app/chat/[chatId]/components/ActionsBar/components/KnowledgeToFeed/components/FromConnections/FolderLine/FolderLine.tsx b/frontend/app/chat/[chatId]/components/ActionsBar/components/KnowledgeToFeed/components/FromConnections/FolderLine/FolderLine.tsx index 7ff77a086e1c..a70f152d5fc2 100644 --- a/frontend/app/chat/[chatId]/components/ActionsBar/components/KnowledgeToFeed/components/FromConnections/FolderLine/FolderLine.tsx +++ b/frontend/app/chat/[chatId]/components/ActionsBar/components/KnowledgeToFeed/components/FromConnections/FolderLine/FolderLine.tsx @@ -4,12 +4,14 @@ interface FolderLineProps { name: string; selectable: boolean; id: string; + icon?: string; } export const FolderLine = ({ name, selectable, id, + icon }: FolderLineProps): JSX.Element => { return ( ); }; diff --git a/frontend/app/chat/[chatId]/components/ActionsBar/components/KnowledgeToFeed/components/FromConnections/FromConnections.tsx b/frontend/app/chat/[chatId]/components/ActionsBar/components/KnowledgeToFeed/components/FromConnections/FromConnections.tsx index 3543b7fff488..17a11971a565 100644 --- a/frontend/app/chat/[chatId]/components/ActionsBar/components/KnowledgeToFeed/components/FromConnections/FromConnections.tsx +++ b/frontend/app/chat/[chatId]/components/ActionsBar/components/KnowledgeToFeed/components/FromConnections/FromConnections.tsx @@ -105,6 +105,7 @@ export const FromConnections = (): JSX.Element => { name={folder.name ?? ""} selectable={!!isPremium} id={folder.id} + icon= {folder.icon} /> ))} @@ -114,6 +115,7 @@ export const FromConnections = (): JSX.Element => { name={file.name ?? ""} selectable={true} id={file.id} + icon= {file.icon} /> ))} diff --git a/frontend/app/chat/[chatId]/components/ActionsBar/components/KnowledgeToFeed/components/FromConnections/SyncElementLine/SyncElementLine.tsx b/frontend/app/chat/[chatId]/components/ActionsBar/components/KnowledgeToFeed/components/FromConnections/SyncElementLine/SyncElementLine.tsx index b54e5290535d..12f76caef583 100644 --- a/frontend/app/chat/[chatId]/components/ActionsBar/components/KnowledgeToFeed/components/FromConnections/SyncElementLine/SyncElementLine.tsx +++ b/frontend/app/chat/[chatId]/components/ActionsBar/components/KnowledgeToFeed/components/FromConnections/SyncElementLine/SyncElementLine.tsx @@ -13,6 +13,7 @@ interface SyncElementLineProps { selectable: boolean; id: string; isFolder: boolean; + icon?: string; } export const SyncElementLine = ({ @@ -20,6 +21,7 @@ export const SyncElementLine = ({ selectable, id, isFolder, + icon }: SyncElementLineProps): JSX.Element => { const [isCheckboxHovered, setIsCheckboxHovered] = useState(false); const { currentSyncId, openedConnections, setOpenedConnections } = @@ -90,11 +92,14 @@ export const SyncElementLine = ({ /> )} + { + icon ? +
{icon}
: - - {name} + + } + {name} - {isFolder && ( => { + return ( + await axiosInstance.post<{ authorization_url: string }>( + `/sync/notion/authorize?name=${name}` + ) + ).data; +} export const getUserSyncs = async ( axiosInstance: AxiosInstance diff --git a/frontend/lib/api/sync/types.ts b/frontend/lib/api/sync/types.ts index 570093b0f570..60398c2a7300 100644 --- a/frontend/lib/api/sync/types.ts +++ b/frontend/lib/api/sync/types.ts @@ -1,11 +1,12 @@ -export type Provider = "Google" | "Azure" | "DropBox" | "GitHub"; +export type Provider = "Google" | "Azure" | "DropBox" | "Notion" | "GitHub"; -export type Integration = "Google Drive" | "Share Point" | "Dropbox" | "GitHub"; +export type Integration = "Google Drive" | "Share Point" | "Dropbox"| "Notion" | "GitHub"; export interface SyncElement { name?: string; id: string; is_folder: boolean; + icon?: string; } export interface SyncElements { diff --git a/frontend/lib/api/sync/useSync.ts b/frontend/lib/api/sync/useSync.ts index 1d995f9e65ff..141ce71c97d3 100644 --- a/frontend/lib/api/sync/useSync.ts +++ b/frontend/lib/api/sync/useSync.ts @@ -11,6 +11,7 @@ import { syncDropbox, syncFiles, syncGoogleDrive, + syncNotion, syncSharepoint, updateActiveSync } from "./sync"; @@ -27,6 +28,8 @@ export const useSync = () => { "https://quivr-cms.s3.eu-west-3.amazonaws.com/sharepoint_8c41cfdb09.png", DropBox: "https://quivr-cms.s3.eu-west-3.amazonaws.com/dropbox_dce4f3d753.png", + Notion: + "https://quivr-cms.s3.eu-west-3.amazonaws.com/Notion_app_logo_004168672c.png", GitHub: "https://quivr-cms.s3.eu-west-3.amazonaws.com/dropbox_dce4f3d753.png", }; @@ -38,6 +41,8 @@ export const useSync = () => { "https://quivr-cms.s3.eu-west-3.amazonaws.com/sharepoint_8c41cfdb09.png", Dropbox: "https://quivr-cms.s3.eu-west-3.amazonaws.com/dropbox_dce4f3d753.png", + Notion: + "https://quivr-cms.s3.eu-west-3.amazonaws.com/Notion_app_logo_004168672c.png", GitHub: "https://quivr-cms.s3.eu-west-3.amazonaws.com/dropbox_dce4f3d753.png", }; @@ -53,6 +58,7 @@ export const useSync = () => { syncGoogleDrive(name, axiosInstance), syncSharepoint: async (name: string) => syncSharepoint(name, axiosInstance), syncDropbox: async (name: string) => syncDropbox(name, axiosInstance), + syncNotion: async (name: string) => syncNotion(name, axiosInstance), getUserSyncs: async () => getUserSyncs(axiosInstance), getSyncFiles: async (userSyncId: number, folderId?: string) => getSyncFiles(axiosInstance, userSyncId, folderId), diff --git a/frontend/lib/components/ConnectionCards/ConnectionCards.tsx b/frontend/lib/components/ConnectionCards/ConnectionCards.tsx index e77f5ef2253f..af9e1b7cab05 100644 --- a/frontend/lib/components/ConnectionCards/ConnectionCards.tsx +++ b/frontend/lib/components/ConnectionCards/ConnectionCards.tsx @@ -10,7 +10,7 @@ interface ConnectionCardsProps { export const ConnectionCards = ({ fromAddKnowledge, }: ConnectionCardsProps): JSX.Element => { - const { syncGoogleDrive, syncSharepoint, syncDropbox } = useSync(); + const { syncGoogleDrive, syncSharepoint, syncDropbox, syncNotion} = useSync(); return (
syncDropbox(name)} fromAddKnowledge={fromAddKnowledge} /> + syncNotion(name)} + fromAddKnowledge={fromAddKnowledge} + />
); }; diff --git a/frontend/yarn.lock b/frontend/yarn.lock index 71c7bf1b6e4f..5d97b96edeeb 100644 --- a/frontend/yarn.lock +++ b/frontend/yarn.lock @@ -38,7 +38,7 @@ resolved "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.22.9.tgz" integrity sha512-5UamI7xkUcJ3i9qVDS+KFDEK8/7oJ55/sJMB1Ge7IEapr7KfdfV/HErR+koZwOfd+SgtFKOKRhRakdg++DcJpQ== -"@babel/core@^7.0.0", "@babel/core@^7.0.0-0", "@babel/core@^7.22.9": +"@babel/core@^7.22.9": version "7.22.9" resolved "https://registry.npmjs.org/@babel/core/-/core-7.22.9.tgz" integrity sha512-G2EgeufBcYw27U4hhoIwFcgc1XU7TlXJ3mv04oOv1WCuo900U/anZSPzEqNjwdjgffkk2Gs0AN0dW1CKVLcG7w== @@ -282,17 +282,17 @@ dependencies: "@emotion/memoize" "^0.8.1" -"@emotion/memoize@^0.8.1": - version "0.8.1" - resolved "https://registry.npmjs.org/@emotion/memoize/-/memoize-0.8.1.tgz" - integrity sha512-W2P2c/VRW1/1tLox0mVUalvnWXxavmv/Oum2aPsRcoDJuob75FC3Y8FbpfLwUegRcxINtGUMPq0tFCvYNTBXNA== - "@emotion/memoize@0.7.4": version "0.7.4" resolved 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|| ^7.0.0", minipass@^7.0.2, minipass@^7.0.3: + version "7.0.4" + resolved "https://registry.npmjs.org/minipass/-/minipass-7.0.4.tgz" + integrity sha512-jYofLM5Dam9279rdkWzqHozUo4ybjdZmCsDHePy5V/PbBcVMiSZR97gmAy45aqi8CK1lG2ECd356FU86avfwUQ== + minizlib@^2.1.1, minizlib@^2.1.2: version "2.1.2" resolved "https://registry.npmjs.org/minizlib/-/minizlib-2.1.2.tgz" @@ -6599,11 +6716,6 @@ mlly@^1.2.0, mlly@^1.4.0: pkg-types "^1.0.3" ufo "^1.1.2" -ms@^2.1.1: - version "2.1.3" - resolved "https://registry.npmjs.org/ms/-/ms-2.1.3.tgz" - integrity sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA== - ms@2.0.0: version "2.0.0" resolved "https://registry.npmjs.org/ms/-/ms-2.0.0.tgz" @@ -6614,6 +6726,11 @@ ms@2.1.2: resolved "https://registry.npmjs.org/ms/-/ms-2.1.2.tgz" integrity sha512-sGkPx+VjMtmA6MX27oA4FBFELFCZZ4S4XqeGOXCv68tT+jb3vk/RyaKWP0PTKyWtmLSM0b+adUTEvbs1PEaH2w== +ms@^2.1.1: + version "2.1.3" + resolved 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sha512-t0hLfiEKfMUoqhG+U1oid7Pva4bbDPHYfJNiB7BiIjRkj1pyC++4N3huJfqY6aRH6VTB0rvtzQwjM4K6qpfOig== + tsutils@^3.21.0: version "3.21.0" resolved "https://registry.npmjs.org/tsutils/-/tsutils-3.21.0.tgz" @@ -8671,16 +8783,16 @@ typedarray-to-buffer@^3.1.5: dependencies: is-typedarray "^1.0.0" +typescript@5.1.6: + version "5.1.6" + resolved "https://registry.npmjs.org/typescript/-/typescript-5.1.6.tgz" + integrity sha512-zaWCozRZ6DLEWAWFrVDz1H6FVXzUSfTy5FUMWsQlU8Ym5JP9eO4xkTIROFCQvhQf61z6O/G6ugw3SgAnvvm+HA== + typescript@^4.9.5: version "4.9.5" resolved "https://registry.npmjs.org/typescript/-/typescript-4.9.5.tgz" integrity sha512-1FXk9E2Hm+QzZQ7z+McJiHL4NW1F2EzMu9Nq9i3zAaGqibafqYwCVU6WyWAuyQRRzOlxou8xZSyXLEN8oKj24g== -"typescript@>=2.8.0 || >= 3.2.0-dev || >= 3.3.0-dev || >= 3.4.0-dev || >= 3.5.0-dev || >= 3.6.0-dev || >= 3.6.0-beta || >= 3.7.0-dev || >= 3.7.0-beta", typescript@>=3.3.1, typescript@5.1.6: - version "5.1.6" - resolved 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