From 88ff972de42618980c5a20c7384a6b9a7617c3b7 Mon Sep 17 00:00:00 2001 From: Sasha Aleshchenko <45843308+TheBigSasha@users.noreply.github.com> Date: Wed, 11 Oct 2023 00:30:27 -0700 Subject: [PATCH 1/4] Add webcam support for mac --- captain/services/hardware.py | 24 +++++++++++++++++++++--- requirements.txt | 2 ++ 2 files changed, 23 insertions(+), 3 deletions(-) diff --git a/captain/services/hardware.py b/captain/services/hardware.py index 9632f7e6b..9b2923cb2 100644 --- a/captain/services/hardware.py +++ b/captain/services/hardware.py @@ -3,12 +3,12 @@ import cv2 import subprocess from sys import platform +if platform in ["darwin"]: + import AVFoundation from captain.types.devices import CameraDevice, SerialDevice, VISADevice __all__ = ["get_device_finder"] - - class DefaultDeviceFinder: def get_cameras(self) -> list[CameraDevice]: """Returns a list of camera indices connected to the system.""" @@ -84,7 +84,25 @@ def get_cameras(self) -> list[CameraDevice]: return cameras + + +class MacDeviceFinder(LinuxDeviceFinder): + def __init__(self): + if platform not in ["darwin"]: + raise Exception("MacDeviceFinder should only be used on macOS") + + def get_cameras(self) -> list[CameraDevice]: + devices = AVFoundation.AVCaptureDevice.devices() + video_devices = [device for device in devices if device.hasMediaType_(AVFoundation.AVMediaTypeVideo)] + cameras = [] + for device in video_devices: + cameras.append(CameraDevice(name=device.localizedName(), id=device.uniqueID())) + return cameras + + def get_device_finder(): - if platform in ["win32", "darwin"]: + if platform in ["win32"]: return DefaultDeviceFinder() + if platform in ["darwin"]: + return MacDeviceFinder() return LinuxDeviceFinder() diff --git a/requirements.txt b/requirements.txt index 9df24486c..d7e624832 100644 --- a/requirements.txt +++ b/requirements.txt @@ -17,3 +17,5 @@ zeroconf==0.102.0 pyserial==3.5 debugpy opencv-python-headless +pyobjc +chardet From d347568fc0ce3ba04603ed7f98b55a06187f6530 Mon Sep 17 00:00:00 2001 From: JeffDotPng Date: Mon, 30 Oct 2023 12:55:22 -0400 Subject: [PATCH 2/4] merge main --- .github/workflows/cd.yaml | 64 +- .github/workflows/ci.yml | 112 +- .gitignore | 9 +- .gitmodules | 3 - .prettierignore | 6 +- PYTHON/nodes | 1 - .../numpy_scipy_scraper/module_scraper.py | 26 +- .../object_detection/object_detection.py | 7 +- PYTHON/utils/signals.py | 4 +- PYTHON/utils/utils.py | 2 +- captain/internal/manager.py | 70 +- captain/internal/wsmanager.py | 76 + captain/main.py | 20 +- captain/models/topology.py | 37 +- captain/pytest.ini | 2 + captain/routes/{nodes.py => blocks.py} | 15 +- captain/routes/devices.py | 7 +- captain/routes/flowchart.py | 15 +- captain/routes/key.py | 10 +- captain/routes/pymgr.py | 8 +- captain/routes/update.py | 3 +- captain/routes/ws.py | 4 +- captain/services/consumer/log_consumer.py | 27 + captain/services/consumer/worker.py | 51 +- captain/services/hardware.py | 12 +- captain/services/producer/producer.py | 11 +- captain/tests/conftest.py | 5 +- captain/tests/manifest_gen_test.py | 6 +- captain/tests/manifest_test_nodes/basic.py | 2 +- .../manifest_test_nodes/default_values.py | 2 +- .../tests/manifest_test_nodes/docstring.py | 2 +- .../docstring_multi_return.py | 3 +- captain/tests/manifest_test_nodes/end_test.py | 2 +- .../tests/manifest_test_nodes/extra_deps.py | 3 +- .../manifest_test_nodes/multiple_inputs.py | 2 +- .../tests/manifest_test_nodes/no_inputs.py | 2 +- .../tests/manifest_test_nodes/node_init.py | 2 +- .../tests/manifest_test_nodes/node_type.py | 2 +- .../tests/manifest_test_nodes/optionals.py | 3 +- captain/tests/manifest_test_nodes/selects.py | 6 +- captain/tests/manifest_test_nodes/unions.py | 11 +- captain/tests/test_apps/sample_app.py | 359 + captain/tests/topology_test.py | 99 + captain/types/devices.py | 3 +- captain/types/worker.py | 7 +- .../utils/STATUS_CODES.yml | 0 .../{nodes_metadata.py => blocks_metadata.py} | 13 +- captain/utils/blocks_path.py | 26 + captain/utils/broadcast.py | 4 +- captain/utils/flowchart_utils.py | 142 +- .../{import_nodes.py => import_blocks.py} | 89 +- captain/utils/logger.py | 59 +- captain/utils/manifest/__init__.py | 1 - captain/utils/manifest/build_ast.py | 5 +- captain/utils/manifest/build_manifest.py | 31 +- captain/utils/manifest/generate_manifest.py | 67 +- captain/utils/nodes_path.py | 22 - captain/utils/status_codes.py | 8 +- check-dependencies | 59 +- check-dependencies.ps1 | 48 +- cypress/e2e/01_main_page.cy.ts | 2 +- cypress/e2e/02_add_delete_node_page.cy.ts | 2 +- cypress/e2e/07_request_node.cy.ts | 2 +- cypress/e2e/08_node_container.cy.ts | 2 +- cypress/e2e/10_nodes_and_params.cy.ts | 16 +- cypress/e2e/11_plotly_viz_node.cy.ts | 2 +- electron-builder.yaml | 24 +- electron/api/index.ts | 8 +- electron/main/backend.ts | 5 +- ...{node-pack-save.ts => blocks-pack-save.ts} | 91 +- electron/main/index.ts | 79 +- electron/main/logger.ts | 14 +- electron/preload/index-dev.ts | 4 - electron/preload/index.ts | 2 +- environment.yml | 7 + flojoy | 399 +- flojoy.ps1 | 97 +- manage.py | 6 +- package-lock.json | 41328 ---------------- package.json | 114 +- pkgs/flojoy/LICENSE.txt | 18 + pkgs/flojoy/MANIFEST | 10 + pkgs/flojoy/README.md | 97 + pkgs/flojoy/environment.yml | 32 + pkgs/flojoy/flojoy/CONSTANTS.py | 11 + pkgs/flojoy/flojoy/__init__.py | 20 + pkgs/flojoy/flojoy/__init__.pyi | 29 + pkgs/flojoy/flojoy/config.py | 19 + pkgs/flojoy/flojoy/connection_manager.py | 51 + pkgs/flojoy/flojoy/dao.py | 210 + pkgs/flojoy/flojoy/data_container.py | 542 + pkgs/flojoy/flojoy/flojoy_cloud.py | 462 + pkgs/flojoy/flojoy/flojoy_instruction.py | 5 + pkgs/flojoy/flojoy/flojoy_node_venv.py | 424 + pkgs/flojoy/flojoy/flojoy_python.py | 278 + pkgs/flojoy/flojoy/instruments/__init__.py | 1 + .../flojoy/instruments/tektronix/MDO30xx.py | 859 + .../flojoy/instruments/tektronix/__init__.py | 1 + pkgs/flojoy/flojoy/job_result_builder.py | 70 + pkgs/flojoy/flojoy/job_result_utils.py | 110 + pkgs/flojoy/flojoy/job_service.py | 29 + pkgs/flojoy/flojoy/logging.py | 434 + .../flojoy/models/JobResults/JobFailure.py | 11 + .../flojoy/models/JobResults/JobFeedback.py | 3 + .../flojoy/models/JobResults/JobSuccess.py | 12 + .../flojoy/models/JobResults/__init__.py | 2 + pkgs/flojoy/flojoy/models/__init__.py | 1 + pkgs/flojoy/flojoy/module_scraper.py | 263 + pkgs/flojoy/flojoy/node_init.py | 98 + pkgs/flojoy/flojoy/node_preflight.py | 3 + pkgs/flojoy/flojoy/parameter_types.py | 162 + pkgs/flojoy/flojoy/plotly_utils.py | 78 + pkgs/flojoy/flojoy/reconciler.py | 102 + pkgs/flojoy/flojoy/small_memory.py | 78 + pkgs/flojoy/flojoy/utils.py | 370 + pkgs/flojoy/poetry.lock | 3294 ++ pkgs/flojoy/pyproject.toml | 41 + pkgs/flojoy/pytest.ini | 2 + pkgs/flojoy/tests/__init__.py | 0 pkgs/flojoy/tests/conftest.py | 21 + pkgs/flojoy/tests/flojoy_node_venv_test_.py | 344 + pkgs/flojoy/tests/flojoy_python_test_.py | 15 + pkgs/flojoy/tests/reconciler_test_.py | 78 + pkgs/flojoy/tests/utils_test_.py | 67 + pnpm-lock.yaml | 12629 +++++ poetry.lock | 3855 ++ poetry.toml | 3 + pyproject.toml | 42 + requirements.txt | 21 - scripts/backend.ps1 | 125 +- scripts/backend.sh | 149 +- scripts/conda_install.ps1 | 27 + scripts/conda_install.sh | 33 + scripts/get_micromamba.ps1 | 14 - scripts/get_micromamba.sh | 31 - scripts/notarize.js | 9 +- src/App.tsx | 21 +- .../electron/ElectronLogsDialog.tsx | 88 +- src/components/nodes/TextNode.tsx | 27 +- src/components/nodes/nodeTypesMap.ts | 7 + src/components/ui/alert-dialog.tsx | 13 +- src/components/ui/dialog.tsx | 10 +- src/context/socket.context.tsx | 20 +- src/data/RECIPES.ts | 539 +- src/data/apps/default.json | 551 + src/data/apps/index.ts | 1 + src/data/apps/loop.json | 206 +- src/data/apps/prophet.json | 113 +- src/data/constants.ts | 2 +- src/feature/command/CommandMenu.tsx | 33 +- src/feature/common/Layout.tsx | 15 +- src/feature/common/PreJobOperationDialog.tsx | 60 - src/feature/common/Sidebar/SidebarNode.tsx | 11 +- src/feature/common/types/ParamValueType.ts | 1 + .../flow_chart_panel/FlowChartTabView.tsx | 66 +- .../components/node-edit-menu/ParamField.tsx | 32 + .../flow_chart_panel/hooks/useAddNewNode.tsx | 24 +- .../flow_chart_panel/views/ControlBar.tsx | 18 +- .../views/ControlBar/SaveButtons.tsx | 4 +- .../flow_chart_panel/views/NodeModal.tsx | 6 +- src/feature/loading/LoadingPage.tsx | 129 +- src/feature/logs/Logs.tsx | 68 + src/hooks/useElectronLogs.ts | 41 + src/hooks/useFlowChartGraph.ts | 1 + src/hooks/useManifest.ts | 11 +- src/hooks/useSave.ts | 6 +- src/lib/save.ts | 6 +- src/services/FlowChartServices.ts | 16 +- .../{nodes-metadata.ts => blocks-metadata.ts} | 2 +- src/types/node.ts | 1 + src/utils/ArrayUtils.ts | 13 + src/utils/NodeUtils.ts | 36 + src/web-socket/socket.ts | 49 +- vite.config.ts | 5 +- 174 files changed, 28357 insertions(+), 43491 deletions(-) delete mode 100644 .gitmodules delete mode 160000 PYTHON/nodes create mode 100644 captain/internal/wsmanager.py create mode 100644 captain/pytest.ini rename captain/routes/{nodes.py => blocks.py} (69%) create mode 100644 captain/services/consumer/log_consumer.py create mode 100644 captain/tests/test_apps/sample_app.py create mode 100644 captain/tests/topology_test.py rename STATUS_CODES.yml => captain/utils/STATUS_CODES.yml (100%) rename captain/utils/{nodes_metadata.py => blocks_metadata.py} (80%) create mode 100644 captain/utils/blocks_path.py rename captain/utils/{import_nodes.py => import_blocks.py} (61%) delete mode 100644 captain/utils/nodes_path.py rename electron/main/{node-pack-save.ts => blocks-pack-save.ts} (69%) delete mode 100644 electron/preload/index-dev.ts create mode 100644 environment.yml delete mode 100644 package-lock.json create mode 100644 pkgs/flojoy/LICENSE.txt create mode 100644 pkgs/flojoy/MANIFEST create mode 100644 pkgs/flojoy/README.md create mode 100644 pkgs/flojoy/environment.yml create mode 100644 pkgs/flojoy/flojoy/CONSTANTS.py create mode 100644 pkgs/flojoy/flojoy/__init__.py create mode 100644 pkgs/flojoy/flojoy/__init__.pyi create mode 100644 pkgs/flojoy/flojoy/config.py create mode 100644 pkgs/flojoy/flojoy/connection_manager.py create mode 100644 pkgs/flojoy/flojoy/dao.py create mode 100644 pkgs/flojoy/flojoy/data_container.py create mode 100644 pkgs/flojoy/flojoy/flojoy_cloud.py create mode 100644 pkgs/flojoy/flojoy/flojoy_instruction.py create mode 100644 pkgs/flojoy/flojoy/flojoy_node_venv.py create mode 100644 pkgs/flojoy/flojoy/flojoy_python.py create mode 100644 pkgs/flojoy/flojoy/instruments/__init__.py create mode 100644 pkgs/flojoy/flojoy/instruments/tektronix/MDO30xx.py create mode 100644 pkgs/flojoy/flojoy/instruments/tektronix/__init__.py create mode 100644 pkgs/flojoy/flojoy/job_result_builder.py create mode 100644 pkgs/flojoy/flojoy/job_result_utils.py create mode 100644 pkgs/flojoy/flojoy/job_service.py create mode 100644 pkgs/flojoy/flojoy/logging.py create mode 100644 pkgs/flojoy/flojoy/models/JobResults/JobFailure.py create mode 100644 pkgs/flojoy/flojoy/models/JobResults/JobFeedback.py create mode 100644 pkgs/flojoy/flojoy/models/JobResults/JobSuccess.py create mode 100644 pkgs/flojoy/flojoy/models/JobResults/__init__.py create mode 100644 pkgs/flojoy/flojoy/models/__init__.py create mode 100644 pkgs/flojoy/flojoy/module_scraper.py create mode 100644 pkgs/flojoy/flojoy/node_init.py create mode 100644 pkgs/flojoy/flojoy/node_preflight.py create mode 100644 pkgs/flojoy/flojoy/parameter_types.py create mode 100644 pkgs/flojoy/flojoy/plotly_utils.py create mode 100644 pkgs/flojoy/flojoy/reconciler.py create mode 100644 pkgs/flojoy/flojoy/small_memory.py create mode 100644 pkgs/flojoy/flojoy/utils.py create mode 100644 pkgs/flojoy/poetry.lock create mode 100644 pkgs/flojoy/pyproject.toml create mode 100644 pkgs/flojoy/pytest.ini create mode 100644 pkgs/flojoy/tests/__init__.py create mode 100644 pkgs/flojoy/tests/conftest.py create mode 100644 pkgs/flojoy/tests/flojoy_node_venv_test_.py create mode 100644 pkgs/flojoy/tests/flojoy_python_test_.py create mode 100644 pkgs/flojoy/tests/reconciler_test_.py create mode 100644 pkgs/flojoy/tests/utils_test_.py create mode 100644 pnpm-lock.yaml create mode 100644 poetry.lock create mode 100644 poetry.toml create mode 100644 pyproject.toml delete mode 100644 requirements.txt create mode 100644 scripts/conda_install.ps1 create mode 100644 scripts/conda_install.sh delete mode 100644 scripts/get_micromamba.ps1 delete mode 100755 scripts/get_micromamba.sh create mode 100644 src/data/apps/default.json delete mode 100644 src/feature/common/PreJobOperationDialog.tsx create mode 100644 src/feature/logs/Logs.tsx create mode 100644 src/hooks/useElectronLogs.ts rename src/types/{nodes-metadata.ts => blocks-metadata.ts} (66%) create mode 100644 src/utils/ArrayUtils.ts create mode 100644 src/utils/NodeUtils.ts diff --git a/.github/workflows/cd.yaml b/.github/workflows/cd.yaml index a4752094f..5dee0a08f 100644 --- a/.github/workflows/cd.yaml +++ b/.github/workflows/cd.yaml @@ -14,41 +14,73 @@ jobs: runs-on: ${{ matrix.os }} strategy: matrix: - os: [macos-latest, ubuntu-latest, windows-latest] + os: [macos-latest-xlarge, ubuntu-latest, windows-latest] env: DEBUG: electron-builder steps: - - name: Check out Git repository - uses: actions/checkout@v3 + - uses: actions/checkout@v3 + with: + submodules: recursive - - name: Install Node.js, NPM and Yarn - uses: actions/setup-node@v3 + - uses: actions/setup-node@v3 with: node-version: 18 + + - uses: pnpm/action-setup@v2 + name: Install pnpm + with: + version: 8 + run_install: false + + - name: Get pnpm store directory + shell: bash + run: | + echo "STORE_PATH=$(pnpm store path --silent)" >> $GITHUB_ENV + + - uses: actions/cache@v3 + name: Cache pnpm + with: + path: ${{ env.STORE_PATH }} + key: ${{ runner.os }}-pnpm-store-${{ hashFiles('**/pnpm-lock.yaml') }} + restore-keys: | + ${{ runner.os }}-pnpm-store- + - uses: actions/setup-python@v4 with: python-version: "3.10" cache: "pip" - - name: Run startup script - run: bash flojoy -c + - name: Setup Poetry + uses: abatilo/actions-poetry@v2 + with: + poetry-version: "1.6" + + # - uses: actions/cache@v3 + # name: Cache Poetry + # with: + # path: ./.venv + # key: venv-${{ hashFiles('poetry.lock') }} - - name: Download Micromamba executable (Win) - if: startsWith(matrix.os, 'windows') - run: | - .\scripts\get_micromamba.ps1 + - name: Install Python Dependencies + run: poetry install - - name: Download Micromamba executable - if: startsWith(matrix.os, 'mac') || startsWith(matrix.os, 'ubuntu') - run: | - bash scripts/get_micromamba.sh + - name: Install Node Dependencies + run: pnpm install - name: Build/release Electron app - uses: samuelmeuli/action-electron-builder@v1.6.0 + uses: flojoy-ai/action-electron-builder@main with: # GitHub token, automatically provided to the action # (No need to define this secret in the repo settings) github_token: ${{ secrets.GITHUB_TOKEN }} release: true + skip_install: true + skip_build: true mac_certs: ${{ secrets.mac_certs }} mac_certs_password: ${{ secrets.mac_certs_password }} + env: + # macOS notarization envs + APPLE_ID: ${{ secrets.APPLE_ID }} + APPLE_TEAM_ID: ${{ secrets.APPLE_TEAM_ID }} + APPLE_ID_PASSWORD: ${{ secrets.APPLE_ID_PASSWORD }} + APPLE_APP_SPECIFIC_PASSWORD: ${{ secrets.APPLE_APP_SPECIFIC_PASSWORD }} diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 14eaca8a6..43f14f784 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -7,14 +7,33 @@ on: pull_request: branches: - main - - develop env: PERCY_TOKEN: ${{ secrets.PERCY_TOKEN }} DISPLAY: :0 jobs: - code-style-check: + python-code-format: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v3 + name: Checkout repository + + - uses: chartboost/ruff-action@v1 + name: Ruff format check + with: + args: format --check . + + python-code-lint: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v3 + name: Checkout repository + + - uses: chartboost/ruff-action@v1 + name: Ruff linter check + + ts-code-style: runs-on: ubuntu-latest steps: - uses: actions/checkout@v3 @@ -23,21 +42,35 @@ jobs: - uses: actions/setup-node@v3 with: - node-version: 16 + node-version: 18 - - uses: actions/setup-python@v4 + - uses: pnpm/action-setup@v2 + name: Install pnpm with: - python-version: "3.10" - cache: "pip" + version: 8 + run_install: false + + - name: Get pnpm store directory + shell: bash + run: | + echo "STORE_PATH=$(pnpm store path --silent)" >> $GITHUB_ENV - - name: Format dependencies - run: pip3 install black && npm i + - uses: actions/cache@v3 + name: Cache pnpm + with: + path: ${{ env.STORE_PATH }} + key: ${{ runner.os }}-pnpm-store-${{ hashFiles('**/pnpm-lock.yaml') }} + restore-keys: | + ${{ runner.os }}-pnpm-store- + + - name: Install Node Dependencies + run: pnpm install - - name: Run formatting check - run: npm run check + - name: Black Prettier check + run: pnpm run check - name: Typescript check - run: npx tsc --noEmit + run: pnpm exec tsc --noEmit python-tests: runs-on: ubuntu-latest @@ -50,19 +83,28 @@ jobs: with: python-version: "3.10" cache: "pip" - - uses: actions/setup-node@v3 + + - name: Setup Poetry + uses: abatilo/actions-poetry@v2 with: - node-version: 16 + poetry-version: "1.6" - - run: pip install -r requirements.txt && npm i + - uses: actions/cache@v3 + name: Cache Poetry + with: + path: ./.venv + key: venv-${{ hashFiles('poetry.lock') }} + + - name: Install Python Dependencies + run: poetry install - name: pytest run: | cd PYTHON - python -m pytest --cov --cov-report=xml --ignore=nodes + poetry run python -m pytest --cov --cov-report=xml --ignore=nodes cd .. cd captain - python -m pytest --cov --cov-report=xml --ignore=nodes + poetry run python -m pytest --cov --cov-report=xml --ignore=nodes - name: Codecov report uses: codecov/codecov-action@v3 @@ -79,13 +121,43 @@ jobs: - uses: actions/setup-node@v3 with: - node-version: 16 + node-version: 18 + + - uses: pnpm/action-setup@v2 + name: Install pnpm + with: + version: 8 + run_install: false + + - name: Get pnpm store directory + shell: bash + run: | + echo "STORE_PATH=$(pnpm store path --silent)" >> $GITHUB_ENV + + - uses: actions/cache@v3 + name: Setup pnpm cache + with: + path: ${{ env.STORE_PATH }} + key: ${{ runner.os }}-pnpm-store-${{ hashFiles('**/pnpm-lock.yaml') }} + restore-keys: | + ${{ runner.os }}-pnpm-store- - uses: actions/setup-python@v4 with: python-version: "3.10" cache: "pip" + - name: Setup Poetry + uses: abatilo/actions-poetry@v2 + with: + poetry-version: "1.6" + + - uses: actions/cache@v3 + name: Cache Poetry + with: + path: ./.venv + key: venv-${{ hashFiles('poetry.lock') }} + - name: Run Flojoy startup script run: bash flojoy -c @@ -98,9 +170,9 @@ jobs: - name: Run e2e test uses: cypress-io/github-action@v4 with: - build: npm run build - start: npm run start-project - command: npx percy exec -- cypress run + build: pnpm run build + start: pnpm run start-project + command: pnpm exec percy exec -- cypress run browser: chrome install: false diff --git a/.gitignore b/.gitignore index 7bb4cd2e1..30ac424f1 100644 --- a/.gitignore +++ b/.gitignore @@ -14,9 +14,8 @@ dist-electron/* /coverage /cypress/screenshots/ - # gitpod config to prevent unwanted installations -.gitpod.yml +.gitpod.yml # misc .DS_Store @@ -59,12 +58,12 @@ coverage.xml .nyc_output/out.json coverage-cy -PYTHON/nodes +PYTHON/blocks build .nyc_output .python-version .history - -bin \ No newline at end of file +.logs +bin diff --git a/.gitmodules b/.gitmodules deleted file mode 100644 index 4bc621395..000000000 --- a/.gitmodules +++ /dev/null @@ -1,3 +0,0 @@ -[submodule "nodes"] - path = PYTHON/nodes - url = https://github.com/flojoy-ai/nodes.git \ No newline at end of file diff --git a/.prettierignore b/.prettierignore index 3e8f5c9c7..3bd7293e0 100644 --- a/.prettierignore +++ b/.prettierignore @@ -2,5 +2,7 @@ dist/* PYTHON/* apps/* src/data/*.json -venv/* -venv2/* +**/venv/* +**/.venv/* +**/venv2/* +pnpm-lock.yaml diff --git a/PYTHON/nodes b/PYTHON/nodes deleted file mode 160000 index 296455183..000000000 --- a/PYTHON/nodes +++ /dev/null @@ -1 +0,0 @@ -Subproject commit 296455183e225444134f19b3f3f722e825ec6717 diff --git a/PYTHON/utils/numpy_scipy_scraper/module_scraper.py b/PYTHON/utils/numpy_scipy_scraper/module_scraper.py index 8a33f30bc..9ce091611 100644 --- a/PYTHON/utils/numpy_scipy_scraper/module_scraper.py +++ b/PYTHON/utils/numpy_scipy_scraper/module_scraper.py @@ -1,5 +1,6 @@ import inspect import re + import docstring_parser as parse @@ -48,26 +49,26 @@ def __init__(self, func, parameters, module, argument_names): except IndexError: # this means argument_names is none self.first_argument = None self.parameters = {} - self.data = f"from flojoy import OrderedPair, flojoy, Matrix, Scalar\n" - self.data += f"import numpy as np\n" - self.data += f"from collections import namedtuple\n" + self.data = "from flojoy import OrderedPair, flojoy, Matrix, Scalar\n" + self.data += "import numpy as np\n" + self.data += "from collections import namedtuple\n" self.data += "from typing import Literal\n\n" self.data += f"import {module.__name__}\n\n\n" - self.data += f"@flojoy(node_type='default')" + self.data += "@flojoy(node_type='default')" self.data += f"\ndef {self.name.upper()}(\n\t" - self.data += f"default: OrderedPair | Matrix,\n\t" + self.data += "default: OrderedPair | Matrix,\n\t" for idk, arg in enumerate(self.arguments): if arg not in self.FORBIDDEN_OPTIONAL_ARGS: dtype = "" try: # try to read it from the inspect dictionary dtype = type(self.optional_argument_dict[arg]).__name__ - except: + except Exception: pass try: def_val = str(self.optional_argument_dict[arg]) - except: + except Exception: def_val = "None" def_val = "" if def_val == "None" else def_val @@ -122,14 +123,14 @@ def __init__(self, func, parameters, module, argument_names): self.data = "" return - # mvsdist and bayes_mvs both are incompatiable currently. + # mvsdist and bayes_mvs both are incompatible currently. if "mvs" in self.name: self.data = "" return if self.decomp_return: self.gen_return_options() - self.data += f"select_return: Literal" + self.data += "select_return: Literal" self.data += f"{self.return_options}" self.data += f' = "{self.return_options[0]}",' @@ -172,7 +173,7 @@ def write_func_args(self): dtype = "" try: # try to read it from the inspect dictionary dtype = type(self.optional_argument_dict[arg]).__name__ - except: + except Exception: pass if dtype == "" or dtype == "NoneType": for idl, line in enumerate(self.doc.split("\n")): @@ -380,11 +381,12 @@ def scrape_function(func): if __name__ == "__main__": + import ast import os from pathlib import Path - import scipy - import ast + import numpy as np + import scipy MODULES_TO_SCRAPE = { "scipy": [scipy.signal, scipy.stats], diff --git a/PYTHON/utils/object_detection/object_detection.py b/PYTHON/utils/object_detection/object_detection.py index 73cab51f2..0f39e7f58 100644 --- a/PYTHON/utils/object_detection/object_detection.py +++ b/PYTHON/utils/object_detection/object_detection.py @@ -1,6 +1,7 @@ +import os + import cv2 import numpy as np -import os classes = [] absolute_path = os.path.dirname(__file__) @@ -13,7 +14,7 @@ def get_output_layers(net): layer_names = net.getLayerNames() try: output_layers = [layer_names[i - 1] for i in net.getUnconnectedOutLayers()] - except: + except Exception: output_layers = [layer_names[i[0] - 1] for i in net.getUnconnectedOutLayers()] return output_layers @@ -125,7 +126,7 @@ def detect_object(img_np_array): for i in indices: try: box = boxes[i] - except: + except Exception: i = i[0] box = boxes[i] diff --git a/PYTHON/utils/signals.py b/PYTHON/utils/signals.py index 24f09ca2c..62e5f3326 100644 --- a/PYTHON/utils/signals.py +++ b/PYTHON/utils/signals.py @@ -2,9 +2,7 @@ class Signals: def __init__(self) -> None: self.signal_states = {} self.signal_iterations = {} - self.all_node_signals = ( - {} - ) # {child_id -> {(parent_id, direction)] -> signal_id} + self.all_node_signals = {} # {child_id -> {(parent_id, direction)] -> signal_id} def update_child_signals(self, child_id, node_id, direction): child_signals = self.all_node_signals.get(child_id, {}) diff --git a/PYTHON/utils/utils.py b/PYTHON/utils/utils.py index 4aea48070..a51611a3c 100644 --- a/PYTHON/utils/utils.py +++ b/PYTHON/utils/utils.py @@ -159,7 +159,7 @@ def encode_as_date(obj): except AttributeError: raise NotEncodable else: - return iso_to_plotly_time_string(time_string) + return time_string @staticmethod def encode_as_decimal(obj): diff --git a/captain/internal/manager.py b/captain/internal/manager.py index ba0517bd3..e7c4393f7 100644 --- a/captain/internal/manager.py +++ b/captain/internal/manager.py @@ -1,23 +1,16 @@ from queue import Queue -from fastapi import WebSocket -from flojoy import PlotlyJSONEncoder -from captain.utils.logger import logger +from typing import Any + +from captain.internal.wsmanager import ConnectionManager from captain.models.topology import Topology from captain.types.worker import PoisonPill -from typing import Any, Union -import json -import threading -from captain.types.worker import WorkerJobResponse - """ Acts as a bridge between backend components """ -socket_connection_lock = threading.Lock() - class Manager(object): def __init__(self): - self.ws = ConnectionManager() # websocket manager + self.ws = ConnectionManager.get_instance() # websocket manager self.running_topology: Topology | None = None # holds the topology self.debug_mode = False self.task_queue: Queue[Any] = Queue() @@ -28,58 +21,3 @@ def end_worker_threads(self): for _ in range(self.thread_count): self.task_queue.put(PoisonPill()) # poison pill self.finish_queue.put(PoisonPill()) # poison pill - - -class ConnectionManager: - def __init__(self): - self.active_connections_map: dict[str, WebSocket] = {} - - async def connect(self, websocket: WebSocket, socket_id: str): - await websocket.accept() - - with socket_connection_lock: - self.active_connections_map[socket_id] = websocket - - logger.debug( - f"Connected! Amt of active connections: {len(self.active_connections_map.keys())}" - ) - - async def disconnect(self, socket_id: str): - with socket_connection_lock: - if socket_id not in self.active_connections_map: - logger.debug(f"Client {socket_id} was already disconnected, skipping") - return - - del self.active_connections_map[socket_id] - - logger.debug( - f"Client {socket_id} is Disconnected :( ! Amt of active connections: {len(self.active_connections_map.keys())}" - ) - - # this method sends a message to all connected websockets - async def broadcast(self, message: Union[dict[str, Any], WorkerJobResponse]): - if not isinstance(message, WorkerJobResponse): - return - - dead_connections = set() - - with socket_connection_lock: - for id, connection in self.active_connections_map.items(): - if id in dead_connections: - continue - - try: - await connection.send_text( - json.dumps(message, cls=PlotlyJSONEncoder) - ) - except RuntimeError: - logger.error( - f"RuntimeError in broadcast to {id}, adding to dead connections" - ) - dead_connections.add(id) - - for connection in dead_connections: - logger.error( - f"Removing dead connection {connection} from active connections" - ) - await self.disconnect(socket_id=connection) diff --git a/captain/internal/wsmanager.py b/captain/internal/wsmanager.py new file mode 100644 index 000000000..9392c1c99 --- /dev/null +++ b/captain/internal/wsmanager.py @@ -0,0 +1,76 @@ +from fastapi import WebSocket +from fastapi.websockets import WebSocketState +from flojoy import PlotlyJSONEncoder +from queue import Queue +from typing import Any, Union +import json +from captain.types.worker import WorkerJobResponse +import threading +import traceback + +socket_connection_lock = threading.Lock() + + +class ConnectionManager: + _instance = None + + @classmethod + def get_instance(cls): + if not cls._instance: + cls._instance = ConnectionManager() + return cls._instance + return cls._instance + + def __init__(self): + self.active_connections_map: dict[str, WebSocket] = {} + self.log_queue: Queue[WebSocket] = Queue() + + async def connect(self, websocket: WebSocket, socket_id: str): + await websocket.accept() + + with socket_connection_lock: + self.active_connections_map[socket_id] = websocket + + # logger.debug( + # f"Connected! Amt of active connections: {len(self.active_connections_map.keys())}" + # ) + + async def disconnect(self, socket_id: str): + with socket_connection_lock: + if socket_id not in self.active_connections_map: + # logger.debug(f"Client {socket_id} was already disconnected, skipping") + return + + del self.active_connections_map[socket_id] + + # this method sends a message to all connected websockets + async def broadcast(self, message: Union[dict[str, Any], WorkerJobResponse]): + if not isinstance(message, WorkerJobResponse): + return + + dead_connections: set[str] = set() + + with socket_connection_lock: + for id, connection in self.active_connections_map.items(): + if id in dead_connections: + continue + + try: + await connection.send_text( + json.dumps(message, cls=PlotlyJSONEncoder) + ) + except Exception as e: + print( + f"Error in broadcast to {id}", + e, + traceback.format_exc(), + flush=True, + ) + if connection.client_state == WebSocketState.DISCONNECTED: + print( + f"Connection state for {id} is Disconnected, adding to dead_connection..." + ) + dead_connections.add(id) + + for connection in dead_connections: + await self.disconnect(socket_id=connection) diff --git a/captain/main.py b/captain/main.py index 66fbe2c4c..4c6065c62 100644 --- a/captain/main.py +++ b/captain/main.py @@ -1,12 +1,12 @@ from fastapi import FastAPI -from captain.routes import flowchart, key, nodes, ws, update, devices, pymgr from fastapi.middleware.cors import CORSMiddleware + +from captain.routes import blocks, devices, flowchart, key, pymgr, update, ws from captain.utils.config import origins -from captain.utils.import_nodes import create_map from captain.utils.logger import logger, logger_setup - -# init node mapping -create_map() +import threading +from captain.services.consumer.log_consumer import LogConsumer +import asyncio app = FastAPI() @@ -24,7 +24,7 @@ app.include_router(flowchart.router) app.include_router(key.router) app.include_router(update.router) -app.include_router(nodes.router) +app.include_router(blocks.router) app.include_router(devices.router) app.include_router(pymgr.router) @@ -32,3 +32,11 @@ @app.on_event("startup") async def startup_event(): logger_setup(logger) + log_consumer = LogConsumer() + + def run_log_consumer(): + asyncio.run(log_consumer.run()) + + thread = threading.Thread(target=run_log_consumer) + thread.daemon = True + thread.start() diff --git a/captain/models/topology.py b/captain/models/topology.py index 631a35fad..62353bb1c 100644 --- a/captain/models/topology.py +++ b/captain/models/topology.py @@ -1,15 +1,17 @@ -from copy import deepcopy import logging import os -from queue import Queue import time from collections import deque +from copy import deepcopy +from queue import Queue +from typing import Any, cast + +import networkx as nx from flojoy import JobFailure, JobSuccess, get_next_directions -from flojoy.utils import clear_flojoy_memory # for some reason, cant import from +from flojoy.utils import clear_flojoy_memory # for some reason, can't import from + from captain.types.worker import JobInfo from captain.utils.logger import logger -import networkx as nx -from typing import Any, cast class Topology: @@ -34,8 +36,8 @@ def __init__( self.queued_jobs: set[str] = set() self.is_ci = os.getenv(key="CI", default=False) self.cancelled = False - self.time_start = 0 - self.is_finished = False + self.time_start = 0.0 + self.finished = False self.loop_nodes = ( list() ) # using list instead of set as we need to maintain order @@ -68,7 +70,7 @@ def run(self, task_queue: Queue[Any]): """ Topology entry point function for producer """ - self.time_start = time.time() + self.time_start = time.perf_counter() next_jobs: list[str] = self.collect_ready_jobs() # get nodes with in-degree 0 self.run_jobs(next_jobs, task_queue) @@ -124,6 +126,9 @@ def cancel(self): def is_cancelled(self): return self.cancelled + def is_finished(self): + return self.finished + def handle_finished_job(self, job: JobSuccess, return_new_jobs: bool = False): """ get the data from the worker response @@ -206,9 +211,9 @@ def process_job_result( and next_nodes_from_dependencies.__len__() == 0 ): if not self.loop_nodes: - self.is_finished = True - logger.debug( - f"FLOWCHART TOOK {time.time() - self.time_start} SECONDS TO COMPLETE" + self.finished = True + logger.info( + f"FLOWCHART TOOK {time.perf_counter() - self.time_start} SECONDS TO COMPLETE" ) self.cancel() return @@ -234,7 +239,7 @@ def process_job_result( def remove_edges_and_get_next(self, job_id: str, label_direction: str = "default"): """ this function removes the node edges and checks its successors - for new jobs. A new job is ready when a sucessor has no dependencies. + for new jobs. A new job is ready when a successor has no dependencies. """ self.finished_jobs.add(job_id) successors: list[str] = list(self.working_graph.successors(job_id)) @@ -265,7 +270,7 @@ def restart(self, job_id: str): self.finished_jobs.remove(d_id) def finalizer(self): - if self.is_finished: + if self.finished: pass # add things here in the future def mark_job_failure(self, job_id: str): @@ -375,13 +380,13 @@ def get_label(self, job_id: str, original: bool = False) -> str: def get_graph(self, original: bool): return self.original_graph if original else self.working_graph - # this function will get the maximum amount of independant nodes during the topological sort of the graph. + # this function will get the maximum amount of independent nodes during the topological sort of the graph. # Will be used to determine how many workers to spawn - # TODO (priority very low): delete edges based on their label: currenly, we are deleting all edges regardless of their labels. + # TODO (priority very low): delete edges based on their label: currently, we are deleting all edges regardless of their labels. # So for example : # Suppose we have a graph with 3 nodes: LOOP, node1, node2 and end, # assuming LOOP is the only dependency of all the nodes, - # and the LOOP node has 2 sucessors from "body" (node1, node2) and 1 from "end" (end), + # and the LOOP node has 2 successors from "body" (node1, node2) and 1 from "end" (end), # we will spawn 3 workers instead of the logical amount which is 2. def get_maximum_workers(self, maximum_capacity: int = 1): max_independant = 0 diff --git a/captain/pytest.ini b/captain/pytest.ini new file mode 100644 index 000000000..d9bb3737e --- /dev/null +++ b/captain/pytest.ini @@ -0,0 +1,2 @@ +[pytest] +python_files = *_test.py \ No newline at end of file diff --git a/captain/routes/nodes.py b/captain/routes/blocks.py similarity index 69% rename from captain/routes/nodes.py rename to captain/routes/blocks.py index 034dc97f3..767d47314 100644 --- a/captain/routes/nodes.py +++ b/captain/routes/blocks.py @@ -1,13 +1,18 @@ +import json + from fastapi import APIRouter, Response + from captain.utils.manifest.generate_manifest import generate_manifest -from captain.utils.nodes_metadata import generate_metadata -import json +from captain.utils.blocks_metadata import generate_metadata +from captain.utils.import_blocks import create_map -router = APIRouter(tags=["nodes"]) +router = APIRouter(tags=["blocks"]) -@router.get("/nodes/manifest/") +@router.get("/blocks/manifest/") async def get_manifest(): + # Pre-generate the blocks map to synchronize it with the manifest + create_map() try: manifest = generate_manifest() return manifest @@ -18,7 +23,7 @@ async def get_manifest(): ) -@router.get("/nodes/metadata/") +@router.get("/blocks/metadata/") async def get_metadata(): try: metadata_map = generate_metadata() diff --git a/captain/routes/devices.py b/captain/routes/devices.py index ac2513536..19e292444 100644 --- a/captain/routes/devices.py +++ b/captain/routes/devices.py @@ -1,3 +1,4 @@ +import os from fastapi import APIRouter from captain.services.hardware import get_device_finder from captain.types.devices import DeviceInfo @@ -6,7 +7,11 @@ @router.get("/devices") -async def get_devices(): +async def get_devices() -> dict[str, str] | DeviceInfo: + env = os.getenv("ELECTRON_MODE", "dev") + + if env == "packaged": + return {} device_finder = get_device_finder() return DeviceInfo( diff --git a/captain/routes/flowchart.py b/captain/routes/flowchart.py index e0ab90827..69d4e8882 100644 --- a/captain/routes/flowchart.py +++ b/captain/routes/flowchart.py @@ -1,12 +1,11 @@ -from captain.utils.broadcast import Signaler import asyncio + from fastapi import APIRouter -from captain.types.flowchart import ( - PostCancelFC, - PostWFC, -) -from captain.utils.flowchart_utils import prepare_jobs_and_run_fc + +from captain.types.flowchart import PostCancelFC, PostWFC +from captain.utils.broadcast import Signaler from captain.utils.config import manager +from captain.utils.flowchart_utils import prepare_jobs_and_run_fc from captain.utils.logger import logger router = APIRouter(tags=["flowchart"]) @@ -26,6 +25,6 @@ async def cancel_fc(req: PostCancelFC): @router.post("/wfc", summary="write and run flowchart") -async def write_and_run_flowchart(request: PostWFC): +def write_and_run_flowchart(request: PostWFC): # create message for front-end to indicate we are running pre-job operations - await prepare_jobs_and_run_fc(request=request, manager=manager) + asyncio.run(prepare_jobs_and_run_fc(request=request, manager=manager)) diff --git a/captain/routes/key.py b/captain/routes/key.py index f6aa3db68..d6f97acff 100644 --- a/captain/routes/key.py +++ b/captain/routes/key.py @@ -1,11 +1,7 @@ -from fastapi import APIRouter, HTTPException, Response, status from typing import Optional -from flojoy import ( - delete_env_var, - get_env_var, - get_credentials, - set_env_var, -) + +from fastapi import APIRouter, HTTPException, Response, status +from flojoy import delete_env_var, get_credentials, get_env_var, set_env_var from captain.types.key import EnvVar diff --git a/captain/routes/pymgr.py b/captain/routes/pymgr.py index 1a8fba49e..5e60669fc 100644 --- a/captain/routes/pymgr.py +++ b/captain/routes/pymgr.py @@ -1,9 +1,9 @@ -from fastapi import APIRouter -import subprocess -import json -import yaml import base64 +import json +import subprocess +import yaml +from fastapi import APIRouter from pydantic import BaseModel router = APIRouter(prefix="/pymgr", tags=["pymgr"]) diff --git a/captain/routes/update.py b/captain/routes/update.py index a68351df6..dbf34e882 100644 --- a/captain/routes/update.py +++ b/captain/routes/update.py @@ -1,6 +1,7 @@ -from fastapi import APIRouter import subprocess +from fastapi import APIRouter + router = APIRouter(tags=["update"]) diff --git a/captain/routes/ws.py b/captain/routes/ws.py index ce1485be1..960ac8ba7 100644 --- a/captain/routes/ws.py +++ b/captain/routes/ws.py @@ -1,8 +1,10 @@ import json + from fastapi import APIRouter, WebSocket, WebSocketDisconnect + from captain.utils.config import manager -from captain.utils.status_codes import STATUS_CODES from captain.utils.logger import logger +from captain.utils.status_codes import STATUS_CODES router = APIRouter(tags=["ws"]) diff --git a/captain/services/consumer/log_consumer.py b/captain/services/consumer/log_consumer.py new file mode 100644 index 000000000..27cb03590 --- /dev/null +++ b/captain/services/consumer/log_consumer.py @@ -0,0 +1,27 @@ +from captain.internal.wsmanager import ConnectionManager + +from captain.types.worker import WorkerJobResponse + + +class LogConsumer: + def __init__(self) -> None: + self.ws = ConnectionManager.get_instance() + + async def run(self): + while True: + try: + log_entry = self.ws.log_queue.get() + active_conns = list(self.ws.active_connections_map.keys()) + if active_conns: + socket_msg = WorkerJobResponse( + jobset_id=active_conns[-1], dict_item={"BACKEND_LOG": log_entry} + ) + await self.ws.broadcast(socket_msg) + + self.ws.log_queue.task_done() + except Exception as e: + print( + "error in LogConsumer: ", + e.with_traceback(e.__traceback__), + flush=True, + ) diff --git a/captain/services/consumer/worker.py b/captain/services/consumer/worker.py index 1ed8e4a01..0cf55e4a1 100644 --- a/captain/services/consumer/worker.py +++ b/captain/services/consumer/worker.py @@ -1,15 +1,13 @@ -import asyncio -from queue import Queue -import time -from typing import Any, Callable, cast import uuid -from flojoy import JobService -from flojoy import JobSuccess, JobFailure +from queue import Queue +from typing import Any, cast + +from flojoy import JobFailure, JobService, JobSuccess +from flojoy.flojoy_node_venv import PipInstallThread + from captain.types.worker import JobInfo, PoisonPill from captain.utils.broadcast import Signaler from captain.utils.logger import logger -from captain.utils.status_codes import STATUS_CODES -from flojoy.flojoy_node_venv import PipInstallThread """ IMPORTANT NOTE: This class mimics the RQ Worker package. @@ -22,7 +20,7 @@ def __init__( task_queue: Queue[Any], # queue for tasks to be processed finish_queue: Queue[Any], # queue for finished tasks imported_functions: dict[str, Any], # map of job id to corresponding function - signaler: Signaler, # signaler object to signal to the front-end + signaler: Signaler | None = None, # signaler object to signal to the front-end node_delay: float = 0, ): self.task_queue = task_queue @@ -34,7 +32,7 @@ def __init__( self.node_delay = node_delay async def run(self): - logger.debug(f"Worker {self.uuid} has started") + logger.info(f"Worker {self.uuid} has started") while True: queue_fetch = self.task_queue.get() @@ -54,11 +52,11 @@ async def run(self): raise ValueError( f"Function {job.job_id} not found in imported functions" ) - - # signal the running node to the front-end: - await self.signaler.signal_current_running_node( - job.jobset_id, job.job_id, func.__name__ - ) + if self.signaler: + # signal the running node to the front-end: + await self.signaler.signal_current_running_node( + job.jobset_id, job.job_id, func.__name__ + ) kwargs: dict[str, Any] = { "ctrls": job.ctrls, @@ -76,19 +74,24 @@ async def run(self): match response: case JobSuccess(): logger.debug(f"Job finished: {job.job_id}, status: ok") - - # send results to frontend - await self.signaler.signal_node_results( - job.jobset_id, job.job_id, func.__name__, response.result - ) + if self.signaler: + # send results to frontend + await self.signaler.signal_node_results( + job.jobset_id, job.job_id, func.__name__, response.result + ) case JobFailure(): logger.debug(f"Job finished: {job.job_id}, status: failed") - - # signal to frontend that the node has failed - await self.signaler.signal_failed_nodes( - job.jobset_id, job.job_id, func.__name__, response.error + logger.error( + f"Node {func.__name__} failed! reason: {response.error}" ) + + if self.signaler: + # signal to frontend that the node has failed + await self.signaler.signal_failed_nodes( + job.jobset_id, job.job_id, func.__name__, response.error + ) + PipInstallThread.terminate_all() raise Exception(response.error) diff --git a/captain/services/hardware.py b/captain/services/hardware.py index 9b2923cb2..54af4e567 100644 --- a/captain/services/hardware.py +++ b/captain/services/hardware.py @@ -1,11 +1,12 @@ -import serial.tools.list_ports -import pyvisa -import cv2 import subprocess from sys import platform if platform in ["darwin"]: import AVFoundation +import cv2 +import pyvisa +import serial.tools.list_ports + from captain.types.devices import CameraDevice, SerialDevice, VISADevice __all__ = ["get_device_finder"] @@ -44,7 +45,11 @@ def get_visa_devices(self) -> list[VISADevice]: """Returns a list of VISA devices connected to the system.""" rm = pyvisa.ResourceManager("@py") devices = [] + used_addrs = set() + for addr in rm.list_resources(): + if addr in used_addrs: + continue try: device = rm.open_resource(addr) devices.append( @@ -55,6 +60,7 @@ def get_visa_devices(self) -> list[VISADevice]: ) ) device.close() + used_addrs.add(addr) except pyvisa.VisaIOError: pass diff --git a/captain/services/producer/producer.py b/captain/services/producer/producer.py index 7523ede41..552e21364 100644 --- a/captain/services/producer/producer.py +++ b/captain/services/producer/producer.py @@ -1,16 +1,14 @@ -import asyncio +import uuid from queue import Queue from typing import Any -import uuid from captain.types.worker import ( + InitFuncType, PoisonPill, ProcessTaskType, QueueTaskType, - InitFuncType, ) from captain.utils.broadcast import Signaler - from captain.utils.logger import logger @@ -22,7 +20,7 @@ def __init__( process_task: ProcessTaskType, queue_task: QueueTaskType, init_func: InitFuncType, - signaler: Signaler, + signaler: Signaler | None = None, ) -> None: self.task_queue = task_queue self.finish_queue = finish_queue @@ -51,7 +49,8 @@ async def run(self): # if no new tasks, then continue if new_tasks is None: logger.debug(f"Producer {self.uuid} got no new tasks") - await self.signaler.signal_standby(finished_job_fetch.jobset_id) + if self.signaler: + await self.signaler.signal_standby(finished_job_fetch.jobset_id) continue logger.debug(f"Producer {self.uuid} got new tasks: {new_tasks}") diff --git a/captain/tests/conftest.py b/captain/tests/conftest.py index 53a335367..9692bd110 100644 --- a/captain/tests/conftest.py +++ b/captain/tests/conftest.py @@ -1,7 +1,8 @@ -import pytest -import flojoy from importlib import reload +import flojoy +import pytest + @pytest.fixture def reload_flojoy(): diff --git a/captain/tests/manifest_gen_test.py b/captain/tests/manifest_gen_test.py index bcc1e0185..8ab95e3ac 100644 --- a/captain/tests/manifest_gen_test.py +++ b/captain/tests/manifest_gen_test.py @@ -1,8 +1,10 @@ -from captain.utils.manifest.build_manifest import create_manifest import os -import pytest import unittest +import pytest + +from captain.utils.manifest.build_manifest import create_manifest + TEST_NODES_PATH = os.path.join(os.getcwd(), "tests", "manifest_test_nodes") diff --git a/captain/tests/manifest_test_nodes/basic.py b/captain/tests/manifest_test_nodes/basic.py index 171837738..e45c15979 100644 --- a/captain/tests/manifest_test_nodes/basic.py +++ b/captain/tests/manifest_test_nodes/basic.py @@ -1,5 +1,5 @@ import numpy as np -from flojoy import flojoy, OrderedPair, DataContainer +from flojoy import DataContainer, OrderedPair, flojoy @flojoy(node_type="TEST_TYPE") diff --git a/captain/tests/manifest_test_nodes/default_values.py b/captain/tests/manifest_test_nodes/default_values.py index 265967a3f..d1fa5527b 100644 --- a/captain/tests/manifest_test_nodes/default_values.py +++ b/captain/tests/manifest_test_nodes/default_values.py @@ -1,5 +1,5 @@ import numpy as np -from flojoy import flojoy, OrderedTriple +from flojoy import OrderedTriple, flojoy @flojoy(node_type="TEST_TYPE") diff --git a/captain/tests/manifest_test_nodes/docstring.py b/captain/tests/manifest_test_nodes/docstring.py index eb69dcff2..80c4a39bb 100644 --- a/captain/tests/manifest_test_nodes/docstring.py +++ b/captain/tests/manifest_test_nodes/docstring.py @@ -1,4 +1,4 @@ -from flojoy import flojoy, OrderedPair +from flojoy import OrderedPair, flojoy @flojoy(node_type="TEST_TYPE") diff --git a/captain/tests/manifest_test_nodes/docstring_multi_return.py b/captain/tests/manifest_test_nodes/docstring_multi_return.py index 9304b2104..0dc3a2491 100644 --- a/captain/tests/manifest_test_nodes/docstring_multi_return.py +++ b/captain/tests/manifest_test_nodes/docstring_multi_return.py @@ -1,6 +1,7 @@ -from flojoy import flojoy, OrderedPair, OrderedTriple from typing import TypedDict +from flojoy import OrderedPair, OrderedTriple, flojoy + class DocstringMultiReturnOutput(TypedDict): output1: OrderedPair diff --git a/captain/tests/manifest_test_nodes/end_test.py b/captain/tests/manifest_test_nodes/end_test.py index eacf0d712..1743a2ee3 100644 --- a/captain/tests/manifest_test_nodes/end_test.py +++ b/captain/tests/manifest_test_nodes/end_test.py @@ -1,4 +1,4 @@ -from flojoy import flojoy, JobResultBuilder, DataContainer +from flojoy import DataContainer, JobResultBuilder, flojoy @flojoy diff --git a/captain/tests/manifest_test_nodes/extra_deps.py b/captain/tests/manifest_test_nodes/extra_deps.py index 0b7179cd0..36216364a 100644 --- a/captain/tests/manifest_test_nodes/extra_deps.py +++ b/captain/tests/manifest_test_nodes/extra_deps.py @@ -1,6 +1,5 @@ import numpy as np -from flojoy import flojoy, Matrix, DataFrame, Image -import tensorflow as tf +from flojoy import DataFrame, Image, Matrix, flojoy @flojoy(deps={"tensorflow": "2.12.0", "torch": "2.0.1"}, node_type="TEST_TYPE") diff --git a/captain/tests/manifest_test_nodes/multiple_inputs.py b/captain/tests/manifest_test_nodes/multiple_inputs.py index faf62d486..a353a4119 100644 --- a/captain/tests/manifest_test_nodes/multiple_inputs.py +++ b/captain/tests/manifest_test_nodes/multiple_inputs.py @@ -1,5 +1,5 @@ import numpy as np -from flojoy import flojoy, OrderedPair, Matrix, DataFrame +from flojoy import DataFrame, Matrix, OrderedPair, flojoy @flojoy(node_type="TEST_TYPE") diff --git a/captain/tests/manifest_test_nodes/no_inputs.py b/captain/tests/manifest_test_nodes/no_inputs.py index cee374acd..462653e89 100644 --- a/captain/tests/manifest_test_nodes/no_inputs.py +++ b/captain/tests/manifest_test_nodes/no_inputs.py @@ -1,4 +1,4 @@ -from flojoy import flojoy, DataContainer +from flojoy import DataContainer, flojoy @flojoy diff --git a/captain/tests/manifest_test_nodes/node_init.py b/captain/tests/manifest_test_nodes/node_init.py index 3a8f4e93c..586ad8cea 100644 --- a/captain/tests/manifest_test_nodes/node_init.py +++ b/captain/tests/manifest_test_nodes/node_init.py @@ -1,5 +1,5 @@ -from flojoy import flojoy, node_initialization, NodeInitContainer, OrderedPair, Array import numpy as np +from flojoy import Array, NodeInitContainer, OrderedPair, flojoy, node_initialization @flojoy(node_type="TEST_TYPE") diff --git a/captain/tests/manifest_test_nodes/node_type.py b/captain/tests/manifest_test_nodes/node_type.py index f1d5d4812..0a345ae11 100644 --- a/captain/tests/manifest_test_nodes/node_type.py +++ b/captain/tests/manifest_test_nodes/node_type.py @@ -1,4 +1,4 @@ -from flojoy import flojoy, DataContainer +from flojoy import DataContainer, flojoy @flojoy(node_type="default") diff --git a/captain/tests/manifest_test_nodes/optionals.py b/captain/tests/manifest_test_nodes/optionals.py index dc4aef774..359f99d5b 100644 --- a/captain/tests/manifest_test_nodes/optionals.py +++ b/captain/tests/manifest_test_nodes/optionals.py @@ -1,6 +1,7 @@ -from flojoy import flojoy, DataContainer, OrderedPair, OrderedTriple, Matrix from typing import Optional + import numpy as np +from flojoy import DataContainer, Matrix, OrderedPair, OrderedTriple, flojoy @flojoy(node_type="TEST_TYPE") diff --git a/captain/tests/manifest_test_nodes/selects.py b/captain/tests/manifest_test_nodes/selects.py index d8f413371..11b047030 100644 --- a/captain/tests/manifest_test_nodes/selects.py +++ b/captain/tests/manifest_test_nodes/selects.py @@ -1,6 +1,6 @@ -from flojoy import flojoy, DataContainer, OrderedPair, OrderedTriple -from typing import Optional, Literal -import numpy as np +from typing import Literal, Optional + +from flojoy import DataContainer, flojoy @flojoy(node_type="TEST_TYPE") diff --git a/captain/tests/manifest_test_nodes/unions.py b/captain/tests/manifest_test_nodes/unions.py index 2f4ee9b45..4f9c0b912 100644 --- a/captain/tests/manifest_test_nodes/unions.py +++ b/captain/tests/manifest_test_nodes/unions.py @@ -1,14 +1,15 @@ +from typing import Union + +import numpy as np from flojoy import ( - flojoy, - Matrix, + DataContainer, DataFrame, Image, + Matrix, OrderedPair, OrderedTriple, - DataContainer, + flojoy, ) -from typing import Union -import numpy as np @flojoy(node_type="TEST_TYPE") diff --git a/captain/tests/test_apps/sample_app.py b/captain/tests/test_apps/sample_app.py new file mode 100644 index 000000000..ca49d5713 --- /dev/null +++ b/captain/tests/test_apps/sample_app.py @@ -0,0 +1,359 @@ +from captain.utils.flowchart_utils import flowchart_to_nx_graph +import json + +sample_app = """ +{ + "nodes": [ + { + "width": 130, + "height": 130, + "id": "SINE-db665d87-c2af-4acd-916b-b97a815e69a7", + "type": "GENERATORS", + "data": { + "id": "SINE-db665d87-c2af-4acd-916b-b97a815e69a7", + "label": "SINE", + "func": "SINE", + "type": "GENERATORS", + "ctrls": { + "amplitude": { + "type": "float", + "default": 1, + "functionName": "SINE", + "param": "amplitude", + "value": 1 + }, + "frequency": { + "type": "float", + "default": 1, + "functionName": "SINE", + "param": "frequency", + "value": 1 + }, + "offset": { + "type": "float", + "default": 0, + "functionName": "SINE", + "param": "offset", + "value": 0 + }, + "phase": { + "type": "float", + "default": 0, + "functionName": "SINE", + "param": "phase", + "value": 0 + }, + "waveform": { + "type": "select", + "default": "sine", + "options": ["sine", "square", "triangle", "sawtooth"], + "functionName": "SINE", + "param": "waveform", + "value": "sine" + } + }, + "inputs": [ + { + "name": "default", + "id": "default", + "type": "OrderedPair", + "multiple": false + } + ], + "outputs": [ + { + "name": "default", + "id": "default", + "type": "OrderedPair" + } + ], + "path": "PYTHON/nodes/GENERATORS/SIMULATIONS/SINE/SINE.py", + "selected": false + }, + "position": { + "x": 776.7590765313249, + "y": -33.14686027271438 + }, + "selected": false, + "positionAbsolute": { + "x": 776.7590765313249, + "y": -33.14686027271438 + }, + "dragging": true + }, + { + "width": 150, + "height": 150, + "id": "LINSPACE-fb6e23f4-080c-4d26-9070-45f3081ee5f3", + "type": "default", + "data": { + "id": "LINSPACE-fb6e23f4-080c-4d26-9070-45f3081ee5f3", + "label": "LINSPACE", + "func": "LINSPACE", + "type": "default", + "ctrls": { + "start": { + "type": "float", + "default": 10, + "functionName": "LINSPACE", + "param": "start", + "value": 10 + }, + "end": { + "type": "float", + "default": 0, + "functionName": "LINSPACE", + "param": "end", + "value": 0 + }, + "step": { + "type": "int", + "default": 1000, + "functionName": "LINSPACE", + "param": "step", + "value": 1000 + } + }, + "outputs": [ + { + "name": "default", + "id": "default", + "type": "OrderedPair" + } + ], + "path": "PYTHON/nodes/GENERATORS/SIMULATIONS/LINSPACE/LINSPACE.py", + "selected": false + }, + "position": { + "x": 415.6162193884677, + "y": 171.138854013 + }, + "selected": false, + "positionAbsolute": { + "x": 415.6162193884677, + "y": 171.138854013 + }, + "dragging": true + }, + { + "width": 130, + "height": 130, + "id": "CONSTANT-a357c1d7-0a1e-459b-bc03-faa48026e0e3", + "type": "GENERATORS", + "data": { + "id": "CONSTANT-a357c1d7-0a1e-459b-bc03-faa48026e0e3", + "label": "2.0", + "func": "CONSTANT", + "type": "GENERATORS", + "ctrls": { + "constant": { + "type": "float", + "default": 3, + "functionName": "CONSTANT", + "param": "constant", + "value": "2.0" + } + }, + "inputs": [ + { + "name": "default", + "id": "default", + "type": "OrderedPair", + "multiple": false + } + ], + "outputs": [ + { + "name": "default", + "id": "default", + "type": "OrderedPair" + } + ], + "path": "PYTHON/nodes/GENERATORS/SIMULATIONS/CONSTANT/CONSTANT.py", + "selected": false + }, + "position": { + "x": 777.034632942326, + "y": 399.72607622902814 + }, + "selected": false, + "positionAbsolute": { + "x": 777.034632942326, + "y": 399.72607622902814 + }, + "dragging": true + }, + { + "width": 99, + "height": 130, + "id": "ADD-b4cb003b-f34d-419e-bc95-452ab539c1ec", + "type": "ARITHMETIC", + "data": { + "id": "ADD-b4cb003b-f34d-419e-bc95-452ab539c1ec", + "label": "ADD", + "func": "ADD", + "type": "ARITHMETIC", + "ctrls": {}, + "inputs": [ + { + "name": "a", + "id": "a", + "type": "OrderedPair", + "multiple": false + }, + { + "name": "b", + "id": "b", + "type": "OrderedPair", + "multiple": true + } + ], + "outputs": [ + { + "name": "default", + "id": "default", + "type": "OrderedPair" + } + ], + "path": "PYTHON/nodes/TRANSFORMERS/ARITHMETIC/ADD/ADD.py", + "selected": false + }, + "position": { + "x": 1087.9891474596368, + "y": 195.25915121516448 + }, + "selected": false, + "positionAbsolute": { + "x": 1087.9891474596368, + "y": 195.25915121516448 + }, + "dragging": true + }, + { + "width": 250, + "height": 159, + "id": "HISTOGRAM-d53932d3-1dce-4320-a135-906b046cbe82", + "type": "VISUALIZERS", + "data": { + "id": "HISTOGRAM-d53932d3-1dce-4320-a135-906b046cbe82", + "label": "HISTOGRAM", + "func": "HISTOGRAM", + "type": "VISUALIZERS", + "ctrls": {}, + "inputs": [ + { + "name": "default", + "id": "default", + "type": "OrderedPair|DataFrame|Matrix", + "multiple": false + } + ], + "outputs": [ + { + "name": "default", + "id": "default", + "type": "Plotly" + } + ], + "path": "PYTHON/nodes/VISUALIZERS/PLOTLY/HISTOGRAM/HISTOGRAM.py", + "selected": false + }, + "position": { + "x": 1301.9835116897505, + "y": -28.568299803888863 + }, + "selected": false, + "positionAbsolute": { + "x": 1301.9835116897505, + "y": -28.568299803888863 + }, + "dragging": true + }, + { + "width": 225, + "height": 226, + "id": "SCATTER-8ac7a273-ef5f-4780-bc57-6c62c5ce507a", + "type": "VISUALIZERS", + "data": { + "id": "SCATTER-8ac7a273-ef5f-4780-bc57-6c62c5ce507a", + "label": "SCATTER", + "func": "SCATTER", + "type": "VISUALIZERS", + "ctrls": {}, + "inputs": [ + { + "name": "default", + "id": "default", + "type": "OrderedPair|DataFrame|Matrix", + "multiple": false + } + ], + "outputs": [ + { + "name": "default", + "id": "default", + "type": "Plotly" + } + ], + "path": "PYTHON/nodes/VISUALIZERS/PLOTLY/SCATTER/SCATTER.py", + "selected": false + }, + "position": { + "x": 1321.42749430047, + "y": 335.8151686044447 + }, + "selected": false, + "positionAbsolute": { + "x": 1321.42749430047, + "y": 335.8151686044447 + }, + "dragging": true + } + ], + "edges": [ + { + "source": "LINSPACE-fb6e23f4-080c-4d26-9070-45f3081ee5f3", + "sourceHandle": "default", + "target": "SINE-db665d87-c2af-4acd-916b-b97a815e69a7", + "targetHandle": "default", + "id": "reactflow__edge-LINSPACE-fb6e23f4-080c-4d26-9070-45f3081ee5f3default-SINE-db665d87-c2af-4acd-916b-b97a815e69a7default" + }, + { + "source": "LINSPACE-fb6e23f4-080c-4d26-9070-45f3081ee5f3", + "sourceHandle": "default", + "target": "CONSTANT-a357c1d7-0a1e-459b-bc03-faa48026e0e3", + "targetHandle": "default", + "id": "reactflow__edge-LINSPACE-fb6e23f4-080c-4d26-9070-45f3081ee5f3default-CONSTANT-a357c1d7-0a1e-459b-bc03-faa48026e0e3default" + }, + { + "source": "SINE-db665d87-c2af-4acd-916b-b97a815e69a7", + "sourceHandle": "default", + "target": "ADD-b4cb003b-f34d-419e-bc95-452ab539c1ec", + "targetHandle": "a", + "id": "reactflow__edge-SINE-db665d87-c2af-4acd-916b-b97a815e69a7default-ADD-b4cb003b-f34d-419e-bc95-452ab539c1eca" + }, + { + "source": "CONSTANT-a357c1d7-0a1e-459b-bc03-faa48026e0e3", + "sourceHandle": "default", + "target": "ADD-b4cb003b-f34d-419e-bc95-452ab539c1ec", + "targetHandle": "b", + "id": "reactflow__edge-CONSTANT-a357c1d7-0a1e-459b-bc03-faa48026e0e3default-ADD-b4cb003b-f34d-419e-bc95-452ab539c1ecb" + }, + { + "source": "ADD-b4cb003b-f34d-419e-bc95-452ab539c1ec", + "sourceHandle": "default", + "target": "SCATTER-8ac7a273-ef5f-4780-bc57-6c62c5ce507a", + "targetHandle": "default", + "id": "reactflow__edge-ADD-b4cb003b-f34d-419e-bc95-452ab539c1ecdefault-SCATTER-8ac7a273-ef5f-4780-bc57-6c62c5ce507adefault" + }, + { + "source": "ADD-b4cb003b-f34d-419e-bc95-452ab539c1ec", + "sourceHandle": "default", + "target": "HISTOGRAM-d53932d3-1dce-4320-a135-906b046cbe82", + "targetHandle": "default", + "id": "reactflow__edge-ADD-b4cb003b-f34d-419e-bc95-452ab539c1ecdefault-HISTOGRAM-d53932d3-1dce-4320-a135-906b046cbe82default" + } + ] +} +""" +graph = flowchart_to_nx_graph(json.loads(sample_app)) diff --git a/captain/tests/topology_test.py b/captain/tests/topology_test.py new file mode 100644 index 000000000..7e3a2510c --- /dev/null +++ b/captain/tests/topology_test.py @@ -0,0 +1,99 @@ +import asyncio +import unittest +from queue import Queue + +from captain.models.topology import Topology +from captain.services.consumer.worker import Worker +from captain.services.producer.producer import Producer +from captain.types.worker import JobInfo, JobSuccess + +from .test_apps.sample_app import graph as sample_app_graph + + +class TopologyTest(unittest.TestCase): + # test that nodes are added to given task_queue + def test_nodes_in_queue(self): + task_queue = Queue() + topology = Topology(graph=sample_app_graph, jobset_id="test_123") + topology.run(task_queue=task_queue) + print("task queue") + assert task_queue.qsize != 0 + job = task_queue.get() + assert isinstance(job, JobInfo) + assert sample_app_graph.nodes.get(job.job_id) is not None + + # test that maximum independent worker_count is returned correctly + def test_maximum_worker_count(self): + topology = Topology(graph=sample_app_graph, jobset_id="test_123") + worker_count = topology.get_maximum_workers(4) + assert worker_count == 2 + + # test that ready_jobs are returned correctly + def test_collect_ready_jobs(self): + topology = Topology(graph=sample_app_graph, jobset_id="test_123") + ready_jobs = topology.collect_ready_jobs() + assert ready_jobs.__len__() == 1 + assert ready_jobs[0].startswith("LINSPACE") + + # test that when a job is finished new jobs are returned + def test_new_jobs_returned(self): + topology = Topology(graph=sample_app_graph, jobset_id="test_123") + finished_job = JobSuccess( + result=None, + fn=lambda: None, + node_id="LINSPACE-fb6e23f4-080c-4d26-9070-45f3081ee5f3", + jobset_id="test_123", + ) + new_jobs = topology.handle_finished_job(finished_job, return_new_jobs=True) + assert new_jobs is not None + assert len(new_jobs) != 0 + + MAX_TIMEOUT = 3 + + # test that flowchart ran successfully + # def test_flowchart_run_successfull(self): + # os.environ["ELECTRON_MODE"] = "test" + # task_queue = Queue() + # finish_queue = Queue() + # topology = Topology(graph=sample_app_graph, jobset_id="test_123") + # topology.run(task_queue=task_queue) + # func, _ = pre_import_functions(topology=topology) + # worker = Worker( + # task_queue=task_queue, finish_queue=finish_queue, imported_functions=func + # ) + # producer = Producer( + # task_queue=task_queue, + # finish_queue=finish_queue, + # process_task=topology.process_worker_response, + # queue_task=topology.run_job, + # init_func=topology.run, + # ) + # worker_thread = threading.Thread(target=run_worker, kwargs={"worker": worker}) + # producer_thread = threading.Thread( + # target=run_producer, kwargs={"producer": producer} + # ) + # worker_thread.start() + # producer_thread.start() + + # def cleanup(): + # task_queue.put(PoisonPill()) + # finish_queue.put(PoisonPill()) + + # waiting_time = time.time() + # while topology.is_finished() != True: + # if (time.time() - waiting_time) < self.MAX_TIMEOUT: + # time.sleep(0.5) + # else: + # cleanup() + # raise TimeoutError( + # f"Flowchart failed to run within {self.MAX_TIMEOUT} seconds!" + # ) + # cleanup() + + +def run_worker(worker: Worker): + asyncio.run(worker.run()) + + +def run_producer(producer: Producer): + asyncio.run(producer.run()) diff --git a/captain/types/devices.py b/captain/types/devices.py index 39aef3643..9c60dc551 100644 --- a/captain/types/devices.py +++ b/captain/types/devices.py @@ -1,6 +1,7 @@ -from pydantic import BaseModel from typing import Optional +from pydantic import BaseModel + class CameraDevice(BaseModel): name: str diff --git a/captain/types/worker.py b/captain/types/worker.py index 5c54687a2..17ae04590 100644 --- a/captain/types/worker.py +++ b/captain/types/worker.py @@ -51,7 +51,6 @@ class WorkerJobResponse(dict): FAILED_NODES: dict[str, str] | None = None PRE_JOB_OP: dict[str, Any] | None = None jobsetId: str = "" - MODAL_CONFIG: ModalConfig def __init__( self, @@ -60,7 +59,6 @@ def __init__( failed_nodes: dict[str, str] | None = None, running_node: str = "", dict_item: dict[str, Any] = {}, - modal_config: ModalConfig | None = None, result: dict[str, Any] | None = None, cmd: str | None = None, node_id: str | None = None, @@ -71,7 +69,6 @@ def __init__( self["type"] = "worker_response" self["FAILED_NODES"] = failed_nodes or {} self["RUNNING_NODE"] = running_node - self["MODAL_CONFIG"] = modal_config or ModalConfig(showModal=False) if result is not None and cmd is not None and node_id is not None: self["NODE_RESULTS"] = NodeResults(cmd=cmd, id=node_id, result=result) for k, item in dict_item.items(): @@ -82,6 +79,6 @@ def __setitem__(self, __key: Any, __value: Any) -> None: return super().__setitem__(__key, __value) -ProcessTaskType = Callable[[Union[JobSuccess, JobFailure]], list[JobInfo]] -QueueTaskType = Callable[[JobInfo, Queue], None] +ProcessTaskType = Callable[[Union[JobSuccess, JobFailure]], list[str] | None] +QueueTaskType = Callable[[str, Queue], None] InitFuncType = Callable[[Queue], None] diff --git a/STATUS_CODES.yml b/captain/utils/STATUS_CODES.yml similarity index 100% rename from STATUS_CODES.yml rename to captain/utils/STATUS_CODES.yml diff --git a/captain/utils/nodes_metadata.py b/captain/utils/blocks_metadata.py similarity index 80% rename from captain/utils/nodes_metadata.py rename to captain/utils/blocks_metadata.py index 13108f39d..971ebfdb7 100644 --- a/captain/utils/nodes_metadata.py +++ b/captain/utils/blocks_metadata.py @@ -1,6 +1,7 @@ import fnmatch import os -from captain.utils.nodes_path import get_nodes_path + +from captain.utils.blocks_path import get_blocks_path # The pattern to match for Python files pattern = "*.py" @@ -11,11 +12,11 @@ ] -def get_file_paths(nodes_dir: str): +def get_file_paths(blocks_dir: str): # List to store the file paths file_paths: list[str] = [] # Walk through all the directories and subdirectories - for root, dirs, files in os.walk(nodes_dir): + for root, _, files in os.walk(blocks_dir): for file in files: # Check if the file matches the pattern if any( @@ -32,14 +33,14 @@ def get_file_paths(nodes_dir: str): def generate_metadata(): - nodes_path = get_nodes_path() - file_paths = get_file_paths(nodes_path) + blocks_dir = get_blocks_path() + file_paths = get_file_paths(blocks_dir) # Print the list of file paths metadata_map: dict[str, dict[str, str]] = dict() for single_file in file_paths: with open(single_file) as f: file_path = single_file.replace("\\", "/") - file_path = file_path[file_path.rfind("nodes/") + 6 :] + file_path = file_path[file_path.rfind("blocks/") + 7 :] metadata_map[os.path.basename(single_file)] = { "metadata": f.read(), "path": file_path, diff --git a/captain/utils/blocks_path.py b/captain/utils/blocks_path.py new file mode 100644 index 000000000..de9957424 --- /dev/null +++ b/captain/utils/blocks_path.py @@ -0,0 +1,26 @@ +import os +from pathlib import Path + + +def get_blocks_path(): + blocks_path = "PYTHON/blocks/blocks" + # This env is set from scripts/backend.(ps1/sh) file + env = os.environ.get("ELECTRON_MODE", "dev") + + if env != "test": + # Refer to electron/node-pack-save.ts line-8 + blocks_path_from_file = os.path.join(get_flojoy_dir(), "blocks_path.txt") + try: + with open(blocks_path_from_file, "r") as f: + blocks_path = f.read() + blocks_path = os.path.join(blocks_path, "blocks") + except Exception: + pass + elif env == "test": + blocks_path = Path(os.getcwd()).joinpath("../PYTHON/blocks/blocks").__str__() + + return blocks_path + + +def get_flojoy_dir(): + return os.path.abspath(os.path.join(Path.home(), ".flojoy")) diff --git a/captain/utils/broadcast.py b/captain/utils/broadcast.py index 151d26ff1..a9ccc832a 100644 --- a/captain/utils/broadcast.py +++ b/captain/utils/broadcast.py @@ -1,8 +1,8 @@ from typing import Any + from captain.internal.manager import ConnectionManager -from captain.utils.status_codes import STATUS_CODES from captain.types.worker import WorkerJobResponse -from captain.utils.logger import logger +from captain.utils.status_codes import STATUS_CODES class Signaler: diff --git a/captain/utils/flowchart_utils.py b/captain/utils/flowchart_utils.py index 12dd0fc14..7e675c1bc 100644 --- a/captain/utils/flowchart_utils.py +++ b/captain/utils/flowchart_utils.py @@ -1,33 +1,34 @@ -import time import asyncio -from queue import Queue -from threading import Thread +import importlib.metadata import json +import logging import os +import time +import traceback +from queue import Queue +from subprocess import PIPE, Popen +from threading import Thread +from typing import Any, cast + import networkx as nx -from captain.services.consumer.worker import Worker +from flojoy.utils import clear_flojoy_memory + from captain.internal.manager import Manager from captain.models.topology import Topology -from typing import Any +from captain.services.consumer.worker import Worker from captain.services.producer.producer import Producer from captain.types.flowchart import PostWFC -from captain.utils.logger import logger -from subprocess import Popen, PIPE -import importlib.metadata -from .status_codes import STATUS_CODES -from flojoy.utils import clear_flojoy_memory from captain.types.worker import ( InitFuncType, ProcessTaskType, QueueTaskType, WorkerJobResponse, - ModalConfig, ) -import traceback from captain.utils.broadcast import Signaler -from captain.utils.import_nodes import pre_import_functions -import logging -import threading +from captain.utils.import_blocks import pre_import_functions +from captain.utils.logger import BroadcastLogs, logger + +from .status_codes import STATUS_CODES def run_worker( @@ -45,7 +46,6 @@ def run_worker( # ): # text_trap = io.StringIO() # sys.stdout = text_trap - logger.debug("Starting worker") worker = Worker( task_queue=task_queue, finish_queue=finish_queue, @@ -55,7 +55,7 @@ def run_worker( ) asyncio.run(worker.run()) except Exception as e: - print(f"Error in worker: {e} {traceback.format_exc()}", flush=True) + logger.error(f"Error in worker: {e} {traceback.format_exc()}") def run_producer( @@ -67,7 +67,6 @@ def run_producer( signaler: Signaler, ): try: - logger.debug("Starting producer") producer = Producer( task_queue=task_queue, finish_queue=finish_queue, @@ -78,7 +77,7 @@ def run_producer( ) asyncio.run(producer.run()) except Exception as e: - print(f"Error in producer: {e} {traceback.format_exc()}", flush=True) + logger.error(f"Error in producer: {e} {traceback.format_exc()}") def create_topology( @@ -108,6 +107,7 @@ def spawn_producer(manager: Manager): ), ) producer.daemon = True + logger.debug("Starting producer") producer.start() @@ -129,7 +129,7 @@ def spawn_workers( manager.thread_count = worker_number signaler = Signaler(manager.ws) - + logger.debug("Starting worker") for _ in range(worker_number): worker_process = Thread( target=run_worker, @@ -183,13 +183,16 @@ def flowchart_to_nx_graph(flowchart: dict[str, Any]): label = e["sourceHandle"] target_label_id = e["targetHandle"] v_inputs = dict_node_inputs[v] - target_input = next( - filter( - lambda input, target_label_id=target_label_id: input.get("id", "") - == target_label_id, - v_inputs, + target_input = cast( + dict[str, str], + next( + filter( + lambda input, target_label_id=target_label_id: input.get("id", "") + == target_label_id, + v_inputs, + ), + None, ), - None, ) logger.debug(f"----target_input----\n{target_input}") target_label = "default" @@ -251,26 +254,20 @@ def clean_up_function(): pre_job_op_start = time.time() logger.debug(f"Pre job operation started at: {pre_job_op_start}") - signaler = Signaler(manager.ws) - - await signaler.signal_prejob_op(request.jobsetId) + await asyncio.create_task(Signaler(manager.ws).signal_prejob_op(request.jobsetId)) nodes = fc["nodes"] packages_dict = { package.name: package.version for package in importlib.metadata.distributions() } - missing_packages = [] + missing_packages: list[str] = [] socket_msg["SYSTEM_STATUS"] = STATUS_CODES["COLLECTING_PIP_DEPENDENCIES"] - await manager.ws.broadcast(socket_msg) + await asyncio.create_task(manager.ws.broadcast(socket_msg)) for node in nodes: node_logger = logging.getLogger(node["data"]["func"]) - handler = BroadcastNodeLogs( - manager=manager, jobset_id=request.jobsetId, node_func=node["data"]["func"] - ) - handler.setFormatter(logging.Formatter("%(asctime)s - %(name)s - %(message)s")) - node_logger.addHandler(handler) + node_logger.addHandler(BroadcastLogs()) if "pip_dependencies" not in node["data"]: continue for package in node["data"]["pip_dependencies"]: @@ -289,30 +286,21 @@ def clean_up_function(): if missing_packages: socket_msg["SYSTEM_STATUS"] = STATUS_CODES["INSTALLING_PACKAGES"] await manager.ws.broadcast(socket_msg) - socket_msg["MODAL_CONFIG"] = ModalConfig( - showModal=True, - description="Installing required dependencies before running the flow chart...", - messages=f"{', '.join(missing_packages)} packages will be installed with pip!", - ) - await manager.ws.broadcast(socket_msg) - installation_succeed = await install_packages( - missing_packages, socket_msg, manager=manager + logger.info("Installing required dependencies before running the flow chart...") + logger.info( + f"{', '.join(missing_packages)} packages will be installed with pip!" ) + installation_succeed = await install_packages(missing_packages) logger.debug(f"installing packages was successful? {installation_succeed}") if not installation_succeed: - socket_msg.MODAL_CONFIG[ - "messages" - ] = "Pre job operation failed! Look at the errors printed above!" + logger.error("Pre job operation failed! Look at the errors printed above!") socket_msg["SYSTEM_STATUS"] = STATUS_CODES["PRE_JOB_OP_FAILED"] await manager.ws.broadcast(socket_msg) return - socket_msg.MODAL_CONFIG["messages"] = "Pre job operation successful!" - socket_msg.MODAL_CONFIG["showModal"] = False - await manager.ws.broadcast(socket_msg) + logger.info("Pre job operation successful!") socket_msg["SYSTEM_STATUS"] = STATUS_CODES["IMPORTING_NODE_FUNCTIONS"] - socket_msg.MODAL_CONFIG["showModal"] = False await manager.ws.broadcast(socket_msg) # get the amount of workers needed @@ -320,9 +308,7 @@ def clean_up_function(): if errs: socket_msg["SYSTEM_STATUS"] = STATUS_CODES["IMPORTING_NODE_FUNCTIONS_FAILED"] - socket_msg["MODAL_CONFIG"] = ModalConfig( - showModal=True, messages=f"Preflight check failed! \n {', '.join(errs)}" - ) + logger.error(f"Preflight check failed! \n {', '.join(errs)}") socket_msg.FAILED_NODES = errs await manager.ws.broadcast(socket_msg) return @@ -362,60 +348,18 @@ def stream_response(proc: Popen[bytes]): yield line -async def install_packages( - missing_packages: list[str], socket_msg: WorkerJobResponse, manager: Manager -): +async def install_packages(missing_packages: list[str]): try: cmd = ["pip", "install"] + missing_packages proc = Popen(cmd, stdout=PIPE, stderr=PIPE) while proc.poll() is None: stream = stream_response(proc) for line in stream: - socket_msg.MODAL_CONFIG["messages"] = line.decode(encoding="utf-8") - await asyncio.create_task(manager.ws.broadcast(socket_msg)) + logger.info(line.decode(encoding="utf-8")) return_code = proc.returncode if return_code != 0: return False return True except Exception as e: - output = "\n".join(e.args) - socket_msg.MODAL_CONFIG["messages"] = output - await asyncio.create_task(manager.ws.broadcast(socket_msg)) + logger.error(f"{e}{traceback.format_exc()}") return False - - -class BroadcastNodeLogs(logging.Handler): - PCKG_INSTALLATION_COMPLETE = "Pip install complete. Spawning process for function" - - def __init__(self, manager: Manager, jobset_id: str, node_func: str): - super().__init__() - self.manager = manager - self.jobset_id = jobset_id - self.node_func = node_func - - def emit(self, record): - log_entry = self.format(record) - socket_msg = WorkerJobResponse(jobset_id=self.jobset_id) - socket_msg["SYSTEM_STATUS"] = ( - STATUS_CODES["RUNNING_PYTHON_JOB"] + self.node_func - ) - socket_msg["MODAL_CONFIG"] = ModalConfig( - showModal=True, messages=log_entry, title=f"{self.node_func} logs" - ) - - if self.PCKG_INSTALLATION_COMPLETE in log_entry: - socket_msg["MODAL_CONFIG"]["showModal"] = False - - def broadcast_socket(): - loop = asyncio.new_event_loop() - asyncio.set_event_loop(loop) - - async def inner_broadcast_socket(): - await self.manager.ws.broadcast(socket_msg) - - loop.run_until_complete(inner_broadcast_socket()) - loop.close() - - thread = threading.Thread(target=broadcast_socket) - thread.start() - thread.join() diff --git a/captain/utils/import_nodes.py b/captain/utils/import_blocks.py similarity index 61% rename from captain/utils/import_nodes.py rename to captain/utils/import_blocks.py index ef06188a2..fa17c6fd1 100644 --- a/captain/utils/import_nodes.py +++ b/captain/utils/import_blocks.py @@ -1,21 +1,24 @@ -from captain.models.topology import Topology -from typing import Any, cast -from flojoy import get_node_init_function, NoInitFunctionError -import os, sys import importlib -from captain.utils.nodes_path import get_nodes_path +import os +import sys from pathlib import Path +from typing import Any, cast + +from flojoy import NoInitFunctionError, get_node_init_function + +from captain.models.topology import Topology from captain.utils.logger import logger +from captain.utils.blocks_path import get_blocks_path def pre_import_functions(topology: Topology): - functions = {} - errors = {} - for node_id in cast(list[str], topology.original_graph.nodes): - # get the node function - node = cast(dict[str, Any], topology.original_graph.nodes[node_id]) - cmd: str = node["cmd"] - cmd_mock: str = node["cmd"] + "_MOCK" + functions: dict[str, str] = {} + errors: dict[str, str] = {} + for block_id in cast(list[str], topology.original_graph.nodes): + # get the block function + block = cast(dict[str, Any], topology.original_graph.nodes[block_id]) + cmd: str = block["cmd"] + cmd_mock: str = block["cmd"] + "_MOCK" module = get_module_func(cmd) func_name = cmd_mock if topology.is_ci else cmd try: @@ -36,49 +39,32 @@ def pre_import_functions(topology: Topology): try: preflight() except Exception as e: - errors[node_id] = str(e) + errors[block_id] = str(e) # check if the func has an init function, and initialize it if it does to the specified node id try: init_func = get_node_init_function(func) init_func.run( - node_id, node["init_ctrls"] + block_id, block["init_ctrls"] ) # node id is used to specify storage: each node of the same type will have its own storage except NoInitFunctionError: pass except Exception as e: - errors[node_id] = str(e) + errors[block_id] = str(e) - functions[node_id] = func + functions[block_id] = func return functions, errors -mapping = {} +mapping: dict[str, str] = {} def get_module_func(file_name: str): - nodes_dir = get_nodes_path() + blocks_path = get_blocks_path() if not mapping: - logger.info("creating nodes mapping for first time......") - create_map() - - if mapping.get("root") != nodes_dir: - logger.info( - f"Path to nodes dir is changed creating nodes mapping again, previous path: {mapping.get('root')} and present path: {nodes_dir}" - ) - old_parent_path = Path(os.path.abspath(mapping["root"])).parent.__str__() - mapping["root"] = nodes_dir - if old_parent_path in sys.path: - sys.path.remove(old_parent_path) + logger.info("creating blocks mapping for first time......") create_map() - modules_to_delete = [] - for module_path in sys.modules: - if module_path.startswith("nodes"): - modules_to_delete.append(module_path) - - for module_path in modules_to_delete: - del sys.modules[module_path] file_path = mapping.get(file_name) @@ -89,23 +75,38 @@ def get_module_func(file_name: str): return module else: - logger.error(f"File {file_name} not found in subdirectories of {nodes_dir}") + logger.error(f"File {file_name} not found in subdirectories of {blocks_path}") def create_map(): - nodes_dir = get_nodes_path() - parent_dir = Path(os.path.abspath(nodes_dir)).parent.__str__() - mapping["root"] = nodes_dir + blocks_dir = get_blocks_path() + if "root" in mapping and mapping["root"] != blocks_dir: + logger.info( + f"Path to blocks dir is changed creating blocks mapping again, previous path: {mapping.get('root')} and present path: {blocks_dir}" + ) + old_parent_path = Path(os.path.abspath(mapping["root"])).parent.__str__() + mapping["root"] = blocks_dir + if old_parent_path in sys.path: + sys.path.remove(old_parent_path) + modules_to_delete: list[str] = [] + for module_path in sys.modules: + if module_path.startswith("blocks"): + modules_to_delete.append(module_path) + + for module_path in modules_to_delete: + del sys.modules[module_path] + parent_dir = Path(os.path.abspath(blocks_dir)).parent.__str__() + mapping["root"] = blocks_dir sys.path.append(parent_dir) - for root, _, files in os.walk(nodes_dir): - if root == nodes_dir: + for root, _, files in os.walk(blocks_dir): + if root == blocks_dir: continue for file in files: # map file name to file path if file.endswith(".py"): - node_path = ( + block_path = ( os.path.join(root, file[:-3]).replace("\\", "/").replace("/", ".") ) - mapping[file[:-3]] = node_path[node_path.rfind("nodes.") :] + mapping[file[:-3]] = block_path[block_path.rfind("blocks.") :] diff --git a/captain/utils/logger.py b/captain/utils/logger.py index eb5a9e7ea..fc3d307fe 100644 --- a/captain/utils/logger.py +++ b/captain/utils/logger.py @@ -1,25 +1,9 @@ -import logging +from logging import LogRecord import os +import logging +from captain.internal.wsmanager import ConnectionManager -logger = logging.getLogger() -logging.basicConfig(level=logging.INFO, format="%(name)s - %(levelname)s - %(message)s") - - -def logger_setup(logger: logging.Logger): - log_lvl = get_log_level() - logger.setLevel(log_lvl) - - handler = logging.StreamHandler() - handler.setLevel(log_lvl) - - if os.environ.get("FASTAPI_LOG"): - formatter = CustomFormatter("%(levelname)-10s%(message)s") - else: - formatter = CustomFormatter("%(message)s") - - handler.setFormatter(formatter) - - logger.addHandler(handler) +logger = logging.getLogger("flojoy") def get_log_level(): @@ -35,9 +19,34 @@ def get_log_level(): return map_to_int[log_level] -class CustomFormatter(logging.Formatter): - """Ensure a colon immediately follows the levelname in order to copy the fastapi logger""" +logging.basicConfig( + level=get_log_level(), + format="[%(asctime)s] - %(name)s - %(levelname)s - %(message)s", + datefmt="%Y-%m-%d %H:%M:%S", +) + + +def logger_setup(logger: logging.Logger): + handler = BroadcastLogs() + log_lvl = get_log_level() + handler.setLevel(log_lvl) + logger.addHandler(handler) - def format(self, record: logging.LogRecord): - record.levelname = f"{record.levelname}:" - return super().format(record) + +class CustomFormatter(logging.Formatter): + def __init__(self) -> None: + super().__init__( + fmt="[%(asctime)s] - %(name)s - %(levelname)s - %(message)s", + datefmt="%Y-%m-%d %H:%M:%S", + ) + + +class BroadcastLogs(logging.Handler): + def __init__(self, level=0) -> None: + super().__init__(level) + self.ws = ConnectionManager.get_instance() + self.setFormatter(CustomFormatter()) + + def emit(self, record: LogRecord) -> None: + log_entry = self.format(record) + self.ws.log_queue.put(log_entry) diff --git a/captain/utils/manifest/__init__.py b/captain/utils/manifest/__init__.py index 32e638cb0..e69de29bb 100644 --- a/captain/utils/manifest/__init__.py +++ b/captain/utils/manifest/__init__.py @@ -1 +0,0 @@ -from .build_manifest import create_manifest diff --git a/captain/utils/manifest/build_ast.py b/captain/utils/manifest/build_ast.py index 491738ef2..923168b09 100644 --- a/captain/utils/manifest/build_ast.py +++ b/captain/utils/manifest/build_ast.py @@ -1,6 +1,5 @@ import ast -from typing import Optional, Any, Callable, Tuple, cast, Literal - +from typing import Any, Callable, Literal, Optional, Tuple, cast SELECTED_IMPORTS = ["flojoy", "typing"] NO_OUTPUT_NODES = ["GOTO", "END"] @@ -108,7 +107,7 @@ def make_manifest_ast( with open(path) as f: tree = ast.parse(f.read()) - # Do an initial pass to remove everything that isnt an + # Do an initial pass to remove everything that isn't an # import, dataclass or flojoy node transformer = FlojoyNodeTransformer() tree: ast.Module = transformer.visit(tree) diff --git a/captain/utils/manifest/build_manifest.py b/captain/utils/manifest/build_manifest.py index e4b8846be..80e1d7433 100644 --- a/captain/utils/manifest/build_manifest.py +++ b/captain/utils/manifest/build_manifest.py @@ -1,40 +1,36 @@ -import ast - -from .build_ast import ( - get_pip_dependencies, - get_node_type, - make_manifest_ast, -) import inspect from inspect import Parameter -from docstring_parser.numpydoc import NumpydocParser, ParamSection -from types import UnionType, NoneType, ModuleType +from types import ModuleType, NoneType, UnionType from typing import ( Any, Callable, - Type, + Literal, Optional, + Type, Union, get_args, get_origin, is_typeddict, - Literal, ) +from docstring_parser.numpydoc import NumpydocParser, ParamSection from flojoy import ( + Array, + CameraConnection, + CameraDevice, DataContainer, DefaultParams, - NodeReference, - Array, NodeInitContainer, - CameraDevice, - SerialDevice, - VisaDevice, - CameraConnection, + NodeReference, SerialConnection, + SerialDevice, VisaConnection, + VisaDevice, + File, ) +from .build_ast import get_node_type, get_pip_dependencies, make_manifest_ast + ALLOWED_PARAM_TYPES = [ int, float, @@ -54,6 +50,7 @@ CameraConnection, SerialConnection, VisaConnection, + File, ] SPECIAL_NODES = ["LOOP", "CONDITIONAL"] diff --git a/captain/utils/manifest/generate_manifest.py b/captain/utils/manifest/generate_manifest.py index b7eb13b4d..81aecdae6 100644 --- a/captain/utils/manifest/generate_manifest.py +++ b/captain/utils/manifest/generate_manifest.py @@ -1,19 +1,21 @@ import os from typing import Any, Optional, Union + +from captain.utils.blocks_path import get_blocks_path from captain.utils.manifest.build_manifest import create_manifest -from captain.utils.nodes_path import get_nodes_path __all__ = ["generate_manifest"] NAME_MAP = { "AI_ML": "AI & ML", - "EXTRACTORS": "Extract", - "GENERATORS": "Generate", - "IO": "I/O", - "LOGIC_GATES": "Logic", - "LOADERS": "Load", - "TRANSFORMERS": "Transform", - "VISUALIZERS": "Visualize", + "DATA": "Data", + "DSP": "Digital Signal Processing", + "IMAGE": "Image", + "HARDWARE": "Hardware", + "CONTROL_FLOW": "Control Flow", + "MATH": "Math", + "DEBUGGING": "Debugging", + "ETL": "ETL", "NUMPY": "numpy", "LINALG": "np.linalg", "RANDOM": "np.rand", @@ -27,33 +29,36 @@ # A node will inherit the type of its parent if it is not in the allowed types. ALLOWED_TYPES = [ "AI_ML", - "GENERATORS", - "VISUALIZERS", - "LOADERS", - "EXTRACTORS", - "TRANSFORMERS", + "DATA", + "VISUALIZATION", + "MATH", "ARITHMETIC", - "IO", - "LOGIC_GATES", + "ETL", + "DSP", + "IMAGE", + "CONTROL_FLOW", "CONDITIONALS", + "HARDWARE", "NUMPY", - "GAMES", "SCIPY", + "GAMES", + "DEBUGGING", ] # Sort order in sidebar ORDERING = [ "AI_ML", - "GENERATORS", - "VISUALIZERS", - "EXTRACTORS", - "TRANSFORMERS", - "LOADERS", - "IO", - "LOGIC_GATES", + "DATA", + "MATH", + "ETL", + "DSP", + "IMAGE", + "CONTROL_FLOW", + "HARDWARE", + "DSP", "NUMPY", "SCIPY", - "GAMES", + "DEBUGGING", ] @@ -62,7 +67,7 @@ def browse_directories(dir_path: str, cur_type: Optional[str] = None): basename = os.path.basename(dir_path) result["name"] = ( "ROOT" - if os.path.basename(dir_path) == "nodes" + if os.path.basename(dir_path) == "blocks" else NAME_MAP.get(basename, basename) ) if result["name"] != "ROOT": @@ -84,8 +89,10 @@ def browse_directories(dir_path: str, cur_type: Optional[str] = None): or "examples" in entry.path or "a1-[autogen]" in entry.path or "appendix" in entry.path + or not os.listdir(entry) ): continue + cur_type = basename if basename in ALLOWED_TYPES else cur_type subdir = browse_directories(entry.path, cur_type) result["children"].append(subdir) @@ -108,7 +115,7 @@ def browse_directories(dir_path: str, cur_type: Optional[str] = None): return result -def sort_order(element): +def sort_order(element: dict[str, Any]): try: return ORDERING.index(element["key"]) except ValueError: @@ -116,7 +123,7 @@ def sort_order(element): def generate_manifest(): - nodes_path = get_nodes_path() - nodes_map = browse_directories(nodes_path) - nodes_map["children"].sort(key=sort_order) # type: ignore - return nodes_map + blocks_path = get_blocks_path() + blocks_map = browse_directories(blocks_path) + blocks_map["children"].sort(key=sort_order) # type: ignore + return blocks_map diff --git a/captain/utils/nodes_path.py b/captain/utils/nodes_path.py deleted file mode 100644 index 629b1009c..000000000 --- a/captain/utils/nodes_path.py +++ /dev/null @@ -1,22 +0,0 @@ -import os -from pathlib import Path - - -def get_nodes_path(): - nodes_path = "PYTHON/nodes" - # This env is set from scripts/backend.(ps1/sh) file - is_packaged = os.environ.get("ELECTRON_MODE", "dev") == "packaged" - if is_packaged: - # Refer to electron/node-pack-save.ts line-8 - nodes_path_file = os.path.join(get_flojoy_dir(), "nodes_path.txt") - try: - with open(nodes_path_file, "r") as f: - nodes_path = f.read() - except Exception: - pass - - return nodes_path - - -def get_flojoy_dir(): - return os.path.abspath(os.path.join(Path.home(), ".flojoy")) diff --git a/captain/utils/status_codes.py b/captain/utils/status_codes.py index bedc4b5bd..a9a0339db 100644 --- a/captain/utils/status_codes.py +++ b/captain/utils/status_codes.py @@ -1,5 +1,11 @@ import yaml +import os STATUS_CODES = yaml.load( - open("STATUS_CODES.yml", "r", encoding="utf-8"), Loader=yaml.Loader + open( + os.path.join(os.path.dirname(__file__), "STATUS_CODES.yml"), + "r", + encoding="utf-8", + ), + Loader=yaml.Loader, ) diff --git a/check-dependencies b/check-dependencies index d8f6601b0..07c9735cb 100644 --- a/check-dependencies +++ b/check-dependencies @@ -1,41 +1,26 @@ #!/bin/bash function check_dependencies { - missing="" - py_missing="Python version 3.10 or higher was not found on your system. Please install it and rerun this script. You can download the latest version from the official website: https://www.python.org/downloads/" - pip_missing="Pip was not found. Pip version 20.0 or higher is required for this project. You can find guidelines on this here: https://packaging.python.org/en/latest/tutorials/installing-packages/#ensure-you-can-run-pip-from-the-command-line" - npm_missing="Node.js/npm was not found. Please make sure you have installed Node.js version 16.0 or higher along with npm correctly. You can download Nodejs from here: https://nodejs.org/en/download" - - if [[ "$OSTYPE" == "darwin"* || "$OSTYPE" == "linux-gnu"* ]]; then - if command -v python3 &> /dev/null; then - if ! python3 -c "import sys; exit(0) if sys.version_info >= (3,10) else exit(1)" &>/dev/null; then - echo "$py_missing" - exit 1 - fi - else - echo "$py_missing" - exit 1 - fi - - if ! command -v python3 -m pip &> /dev/null; then - echo "$pip_missing" - exit 1 - fi - - MINIMUM_PIP_VERSION="20.0" - PIP_VERSION=$(python3 -m pip --version | awk '{print $2}') - - if ! awk 'BEGIN{exit !('$PIP_VERSION' >= '$MINIMUM_PIP_VERSION')}'; then - echo "An older version of pip was found. Pip version 20.0 or higher is required for this project. To upgrade run following command: 'pip install --upgrade pip' or 'python3 -m pip install --upgrade pip'" - exit 1 - fi - - - if ! command -v npm &> /dev/null; then - echo "$npm_missing" - exit 1 - fi - - fi + conda_missing="Conda was not found on your system." + conda_missing+="Please install it and rerun this script. You can download the latest version from the official website: https://docs.conda.io/projects/conda/en/latest/user-guide/install/index.html" + + npm_missing="Node.js/npm was not found. Please make sure you have installed Node.js version 16.0 or higher along with npm correctly. You can download Nodejs from here: https://nodejs.org/en/download" + pnpm_missing="pnpm not found: https://pnpm.io" + + if [[ "$OSTYPE" == "darwin"* || "$OSTYPE" == "linux-gnu"* ]]; then + if ! command -v conda &>/dev/null; then + echo "$conda_missing" + exit 1 + fi + + if ! command -v npm &>/dev/null; then + echo "$npm_missing" + exit 1 + fi + + if ! command -v pnpm &>/dev/null; then + echo "$pnpm_missing" + exit 1 + fi + fi } - diff --git a/check-dependencies.ps1 b/check-dependencies.ps1 index 2c8a9613f..0d64e5a2c 100644 --- a/check-dependencies.ps1 +++ b/check-dependencies.ps1 @@ -1,34 +1,26 @@ -function check_dependencies { - $py_missing="Python version 3.10 or higher was not found on your system. Please install it and rerun this script. You can download the latest version from the official website: https://www.python.org/downloads/" - $pip_missing="Pip was not found. Pip version 20.0 or higher is required for this project. You can find guidelines on this here: https://packaging.python.org/en/latest/tutorials/installing-packages/#ensure-you-can-run-pip-from-the-command-line" - $npm_missing="Node.js/npm was not found. Please make sure you have installed Node.js version 16.0 or higher along with npm correctly. You can download Nodejs from here: https://nodejs.org/en/download" - if (Get-Command python -ErrorAction SilentlyContinue) { - if (!(python -c "import sys; exit(0) if sys.version_info >= (3,10) else exit(1)" 2>&1).Count -eq 0) { - return "$py_missing" - exit 1 - } - } else { - return "$py_missing" - exit 1 - } +function check_dependencies { + $conda_missing = "Conda was not found on your system." + + "Please install it and rerun this script. You can download the latest version from the official website: https://docs.conda.io/projects/conda/en/latest/user-guide/install/windows.html" + + " Alternatively you can provide path to conda executable in following pattern: ./flojoy -c " + $npm_missing = "Node.js/npm was not found. Please make sure you have installed Node.js version 16.0 or higher along with npm correctly. You can download Nodejs from here: https://nodejs.org/en/download" - if (!(python -m pip --version 2-ge$null)) { - return "$pip_missing" - exit 1 + if (!(Get-Command npm -ErrorAction SilentlyContinue)) { + error_msg "$npm_missing" + exit 1 } - - $MINIMUM_PIP_VERSION = "20.0" - $PIP_VERSION = (python -m pip --version | Select-String -Pattern '\d+(\.\d+)+').Matches.Value - - if (!([version]$PIP_VERSION -ge [version]$MINIMUM_PIP_VERSION)) { - return "An older version of pip was found. Pip version 20.0 or higher is required for this project. To upgrade run following command: 'pip install --upgrade pip' or 'python3 -m pip install --upgrade pip'" - exit 1 - } - - if (!(Get-Command npm -ErrorAction SilentlyContinue)) { - return "$npm_missing" + if ($conda_exec){ + return $conda_exec + } + if (!(Get-Command conda -ErrorAction SilentlyContinue)) { + $conda_default_exec = Join-Path $env:USERPROFILE "miniconda3" "Scripts" "conda.exe" + if (-not (Test-Path $conda_default_exec)) { + error_msg "$conda_missing" exit 1 + } else { + return "$conda_default_exec" } - return '' + } else { + return "conda" + } } diff --git a/cypress/e2e/01_main_page.cy.ts b/cypress/e2e/01_main_page.cy.ts index 42a5e2a4d..4d85f60a8 100644 --- a/cypress/e2e/01_main_page.cy.ts +++ b/cypress/e2e/01_main_page.cy.ts @@ -19,7 +19,7 @@ describe("main page", () => { cy.percySnapshot("dark flow page with SINE menu"); // Click add new node button - cy.get('[data-testid="add-node-button"]').click(); + cy.get('[data-testid="add-block-button"]').click(); cy.percySnapshot("dark flow page with add node sidebar"); cy.get('[data-testid="darkmode-toggle"]').click(); diff --git a/cypress/e2e/02_add_delete_node_page.cy.ts b/cypress/e2e/02_add_delete_node_page.cy.ts index 79461ee54..e5ee8c97e 100644 --- a/cypress/e2e/02_add_delete_node_page.cy.ts +++ b/cypress/e2e/02_add_delete_node_page.cy.ts @@ -11,7 +11,7 @@ describe("Verify Add and Delete node", () => { cy.get('[data-testid="clear-canvas-button"]').click(); cy.get('[data-testid="confirm-clear-canvas"]').click(); - cy.get('[data-testid="add-node-button"]').click(); + cy.get('[data-testid="add-block-button"]').click(); //Select container Loaders cy.xpath("//div[contains(text(), 'Load')]").click(); diff --git a/cypress/e2e/07_request_node.cy.ts b/cypress/e2e/07_request_node.cy.ts index aede96b62..b20e5e15a 100644 --- a/cypress/e2e/07_request_node.cy.ts +++ b/cypress/e2e/07_request_node.cy.ts @@ -7,7 +7,7 @@ describe("Requesting node", () => { cy.visit("/").wait(1000); cy.get('[data-testid="close-welcome-modal"]').click(); // Click add node - cy.get('[data-testid="add-node-button"]').click(); + cy.get('[data-testid="add-block-button"]').click(); // Click request node cy.get('[data-testid="request-node-btn"]'); diff --git a/cypress/e2e/08_node_container.cy.ts b/cypress/e2e/08_node_container.cy.ts index 4cdb4c66a..4ff2e9465 100644 --- a/cypress/e2e/08_node_container.cy.ts +++ b/cypress/e2e/08_node_container.cy.ts @@ -7,7 +7,7 @@ describe("Verify node containers", () => { cy.get('[data-testid="close-welcome-modal"]').click(); // Click add node - cy.get('[data-testid="add-node-button"]').click(); + cy.get('[data-testid="add-block-button"]').click(); // Click expand and sidebar btn cy.get('[data-testid="sidebar-expand-btn"]').click(); diff --git a/cypress/e2e/10_nodes_and_params.cy.ts b/cypress/e2e/10_nodes_and_params.cy.ts index dc8653a75..709d66c2e 100644 --- a/cypress/e2e/10_nodes_and_params.cy.ts +++ b/cypress/e2e/10_nodes_and_params.cy.ts @@ -32,7 +32,7 @@ describe("Verify nodes and its parameters", () => { cy.get('[data-testid="clear-canvas-button"]').click(); cy.get('[data-testid="confirm-clear-canvas"]').click(); - cy.get('[data-testid="add-node-button"]').click(); + cy.get('[data-testid="add-block-button"]').click(); // Add BSPLINE node cy.get('[data-testid="sidebar-input"]').type("bspline"); cy.get("button").contains("BSPLINE").click(); @@ -50,7 +50,7 @@ describe("Verify nodes and its parameters", () => { // Clear canvas cy.get('[data-testid="clear-canvas-button"]').click(); cy.get('[data-testid="confirm-clear-canvas"]').click(); - cy.get('[data-testid="add-node-button"]').click(); + cy.get('[data-testid="add-block-button"]').click(); // Clear input box and add OPEN_IMAGE node cy.get('[data-testid="sidebar-input"]').type("{selectall}{backspace}"); cy.get('[data-testid="sidebar-input"]').type("open"); @@ -68,7 +68,7 @@ describe("Verify nodes and its parameters", () => { // Clear canvas cy.get('[data-testid="clear-canvas-button"]').click(); cy.get('[data-testid="confirm-clear-canvas"]').click(); - cy.get('[data-testid="add-node-button"]').click(); + cy.get('[data-testid="add-block-button"]').click(); // Clear input box cy.get('[data-testid="sidebar-input"]').type("{selectall}{backspace}"); cy.get('[data-testid="sidebar-input"]').type("fft"); @@ -87,7 +87,7 @@ describe("Verify nodes and its parameters", () => { // Clear canvas cy.get('[data-testid="clear-canvas-button"]').click(); cy.get('[data-testid="confirm-clear-canvas"]').click(); - cy.get('[data-testid="add-node-button"]').click(); + cy.get('[data-testid="add-block-button"]').click(); // Clear input box cy.get('[data-testid="sidebar-input"]').type("{selectall}{backspace}"); cy.get('[data-testid="sidebar-input"]').type("extract"); @@ -105,7 +105,7 @@ describe("Verify nodes and its parameters", () => { // Clear canvas cy.get('[data-testid="clear-canvas-button"]').click(); cy.get('[data-testid="confirm-clear-canvas"]').click(); - cy.get('[data-testid="add-node-button"]').click(); + cy.get('[data-testid="add-block-button"]').click(); // Clear input box cy.get('[data-testid="sidebar-input"]').type("{selectall}{backspace}"); cy.get('[data-testid="sidebar-input"]').type("feedback"); @@ -135,7 +135,7 @@ describe("Verify nodes and its parameters", () => { cy.get('[data-testid="confirm-clear-canvas"]').click(); // GET ALL CUSTOM NODES // conditional node - cy.get('[data-testid="add-node-button"]').click(); + cy.get('[data-testid="add-block-button"]').click(); // Clear input box cy.get('[data-testid="sidebar-input"]').type("{selectall}{backspace}"); cy.get('[data-testid="sidebar-input"]').type("conditional"); @@ -160,7 +160,7 @@ describe("Verify nodes and its parameters", () => { cy.get('[data-testid="darkmode-toggle"]').click(); // creating loop node - cy.get('[data-testid="add-node-button"]').click(); + cy.get('[data-testid="add-block-button"]').click(); // Clear input box cy.get('[data-testid="sidebar-input"]').type("{selectall}{backspace}"); cy.get('[data-testid="sidebar-input"]').type("loop"); @@ -179,7 +179,7 @@ describe("Verify nodes and its parameters", () => { cy.get('[data-testid="darkmode-toggle"]').click(); // creating numpy node - cy.get('[data-testid="add-node-button"]').click(); + cy.get('[data-testid="add-block-button"]').click(); cy.get('[data-testid="sidebar-input"]').type("{selectall}{backspace}"); cy.get('[data-testid="sidebar-input"]').type("tensorinv"); cy.contains("button", "TENSORINV").click(); diff --git a/cypress/e2e/11_plotly_viz_node.cy.ts b/cypress/e2e/11_plotly_viz_node.cy.ts index f12cc8b0d..97725bc25 100644 --- a/cypress/e2e/11_plotly_viz_node.cy.ts +++ b/cypress/e2e/11_plotly_viz_node.cy.ts @@ -12,7 +12,7 @@ describe("Set plotly node visual tests", () => { cy.get('[data-testid="clear-canvas-button"]').click(); cy.get('[data-testid="confirm-clear-canvas"]').click(); - cy.get('[data-testid="add-node-button"]').click(); + cy.get('[data-testid="add-block-button"]').click(); //Select container Visualizers cy.xpath("//div[contains(text(), 'Visualize')]").click(); cy.xpath("//div[contains(text(), 'PLOTLY')]").click(); diff --git a/electron-builder.yaml b/electron-builder.yaml index bac4116d0..b676048e1 100644 --- a/electron-builder.yaml +++ b/electron-builder.yaml @@ -5,30 +5,36 @@ appId: ai.flojoy.studio productName: Flojoy Studio icon: public/favicon.ico asar: true +afterSign: scripts/notarize.js files: - dist-electron/**/* -afterSign: "scripts/notarize.js" extraResources: - from: "public" to: "public" - - from: "bin" - to: "backend/bin" - from: "scripts/backend.ps1" to: "backend/backend.ps1" - from: "scripts/backend.sh" to: "backend/backend.sh" + - from: "scripts/conda_install.sh" + to: "backend/conda_install.sh" + - from: "scripts/conda_install.ps1" + to: "backend/conda_install.ps1" - from: "captain" to: "backend/captain" + - from: "pkgs" + to: "backend/pkgs" - from: "PYTHON" to: "backend/PYTHON" - filter: "!**/nodes/**" + filter: "!**/blocks/**" - from: "manage.py" to: "backend/manage.py" - - from: "requirements.txt" - to: "backend/requirements.txt" - - from: "STATUS_CODES.yml" - to: "backend/STATUS_CODES.yml" + - from: "pyproject.toml" + to: "backend/pyproject.toml" + - from: "poetry.lock" + to: "backend/poetry.lock" + - from: "environment.yml" + to: "backend/environment.yml" mac: icon: public/favicon.icns @@ -40,7 +46,7 @@ mac: darkModeSupport: true gatekeeperAssess: false hardenedRuntime: true - notarize: true + notarize: false # we have separate script (scripts/notarize.js) for this x64ArchFiles: "*" # TODO: Remove this hack linux: diff --git a/electron/api/index.ts b/electron/api/index.ts index 6442b704f..7deb78837 100644 --- a/electron/api/index.ts +++ b/electron/api/index.ts @@ -18,10 +18,10 @@ export default { subscribeToElectronLogs: (func: (arg: CallBackArgs) => void) => { ipcRenderer.on("electron-log", (event, args: CallBackArgs) => func(args)); }, - updateNodesPack: () => { - ipcRenderer.send("update-nodes-pack"); + updateBlocksPack: () => { + ipcRenderer.send("update-blocks-pack"); }, - updateNodesResourcePath: () => { - ipcRenderer.send("update-nodes-resource-path"); + updateBlocksResourcePath: () => { + ipcRenderer.send("change-blocks-resource-path"); }, }; diff --git a/electron/main/backend.ts b/electron/main/backend.ts index 00c553cef..cd15317c5 100644 --- a/electron/main/backend.ts +++ b/electron/main/backend.ts @@ -54,7 +54,7 @@ export const runBackend = ( .then(({ script }) => { sendBackendLogToStudio(title, description)(win, { open: false, - output: "backend initialized successfully!", + output: ":info: backend initialized successfully!", }); global.initializingBackend = false; resolve({ success: true, script }); @@ -81,5 +81,8 @@ const getBackendCommand = (workingDir: string) => { if (process.platform === "win32") { return `pwsh -File ${join(workingDir, "../backend/backend.ps1")}`; } + if (process.platform === "darwin") { + return `zsh "${resolve(join(workingDir, "../backend/backend.sh"))}"`; + } return `bash "${resolve(join(workingDir, "../backend/backend.sh"))}"`; }; diff --git a/electron/main/node-pack-save.ts b/electron/main/blocks-pack-save.ts similarity index 69% rename from electron/main/node-pack-save.ts rename to electron/main/blocks-pack-save.ts index f5973a43c..dce4b22db 100644 --- a/electron/main/node-pack-save.ts +++ b/electron/main/blocks-pack-save.ts @@ -1,11 +1,11 @@ -import { BrowserWindow, dialog } from "electron"; +import { BrowserWindow, app, dialog } from "electron"; import * as fs from "fs"; import { join } from "path"; import { runCmd } from "./cmd"; import { CallBackArgs } from "../api"; import * as os from "os"; import { execSync } from "child_process"; -type SaveNodePackProps = { +type SaveBlocksPackProps = { win: BrowserWindow; icon: string; startup?: boolean; @@ -16,38 +16,38 @@ type SaveNodePackProps = { * * @returns {string} path to txt file where the location of nodes resource pack is saved */ -const getNodesPathFile = (): string => { - const fileName = "nodes_path.txt"; +const getBlocksPathFile = (): string => { + const fileName = "blocks_path.txt"; return join(os.homedir(), ".flojoy", fileName); }; -export const saveNodePack = async ({ +export const saveBlocksPack = async ({ win, icon, startup, update, -}: SaveNodePackProps) => { +}: SaveBlocksPackProps) => { return new Promise((resolve) => { if ( startup && - fs.existsSync(getNodesPathFile()) && - fs.existsSync(getNodesDirPath()) + fs.existsSync(getBlocksPathFile()) && + fs.existsSync(getBlocksDirPath()) ) { resolve({ success: true }); return; } if (update) { - updateNodesPack(getNodesDirPath(), win, icon); + updateBlocksPack(getBlocksDirPath(), win, icon); resolve({ success: true }); return; } - const defaultSavePath = getNodesDirPath(); + const defaultSavePath = getBlocksDirPath(); const savePath = getSavePath(win, icon, defaultSavePath ?? "", !startup); if (!startup && defaultSavePath === savePath) { resolve({ success: true }); return; } - cloneNodesRepo(savePath, win) + cloneBlocksRepo(savePath, win) .then(() => resolve({ success: true })) // An error dialog will show up if any error happens in cloneNodesRepo function, // calling resolve functions for both case to avoid any breakup in index.ts file @@ -67,13 +67,13 @@ const getSavePath = ( update: boolean | undefined, ): string => { const message = update - ? "Choose location for downloading nodes resource pack" - : "Studio requires node resource pack to function correctly!"; + ? "Choose location for downloading blocks resource pack" + : "Studio requires blocks resource pack to function correctly!"; const res = dialog.showMessageBoxSync(win, { type: "info", - title: "Download node resource pack", + title: "Download blocks resource pack", message, - detail: `Node resource pack will be downloaded to following location: \n\n ${savePath?.replace( + detail: `Blocks resource pack will be downloaded to following location: \n\n ${savePath?.replace( /\\/g, "/", )}`, @@ -90,7 +90,7 @@ const getSavePath = ( if (selectedPaths?.length) { const path = selectedPaths[0]; - return getSavePath(win, icon, join(path, "nodes"), update); + return getSavePath(win, icon, join(path, "blocks"), update); } return getSavePath(win, icon, savePath, update); } else { @@ -102,21 +102,21 @@ const savePathToLocalFile = (fileName: string, path: string) => { fs.writeFileSync(fileName, path); }; -const cloneNodesRepo = (clonePath: string, win: BrowserWindow) => { +const cloneBlocksRepo = (clonePath: string, win: BrowserWindow) => { return new Promise((resolve, reject) => { if (fs.existsSync(clonePath)) { dialog.showMessageBox(win, { - message: "Nodes resource added successfully!", - detail: `Nodes resource will be added from ${clonePath}`, + message: "Blocks resource pack added successfully!", + detail: `Blocks resources will be added from ${clonePath}`, }); - savePathToLocalFile(getNodesPathFile(), clonePath); + savePathToLocalFile(getBlocksPathFile(), clonePath); win.reload(); resolve({ success: true }); return; } - const cloneCmd = `git clone https://github.com/flojoy-ai/nodes.git ${clonePath}`; - const title = "Downloading Nodes resuorce pack!"; - const description = `Downloading nodes resource pack to ${clonePath}...`; + const cloneCmd = `git clone https://github.com/flojoy-ai/blocks.git ${clonePath}`; + const title = "Downloading blocks resource pack!"; + const description = `Downloading blocks resource pack to ${clonePath}...`; sendLogToStudio(title, description)(win, { open: true, output: description, @@ -125,26 +125,26 @@ const cloneNodesRepo = (clonePath: string, win: BrowserWindow) => { runCmd({ command: cloneCmd, broadcast: { win, cb: sendLogToStudio(title, description) }, - serviceName: "Nodes-resource", + serviceName: "Blocks-resource", }).catch(({ code, lastOutput }) => { if (code > 0) { sendLogToStudio(title, description)(win, { open: true, output: - "Error :: Failed to download nodes resource pack, see error printed above!", + "Error :: Failed to download blocks resource pack, see error printed above!", }); dialog.showErrorBox( - "Failed to download nodes resource pack!", + "Failed to download blocks resource pack!", lastOutput, ); reject(new Error(lastOutput)); } else { sendLogToStudio(title, description)(win, { open: false, output: "" }); dialog.showMessageBox(win, { - message: "Nodes resource pack downloaded successfully!", + message: "Blocks resource pack downloaded successfully!", type: "info", }); - savePathToLocalFile(getNodesPathFile(), clonePath); + savePathToLocalFile(getBlocksPathFile(), clonePath); win.reload(); resolve({ success: true }); } @@ -156,11 +156,14 @@ const cloneNodesRepo = (clonePath: string, win: BrowserWindow) => { * @returns {string} path to nodes resource pack if resource is downloaded already * else a default path where resource pack can be downloaded ideally os Download directory */ -const getNodesDirPath = (): string => { - if (fs.existsSync(getNodesPathFile())) { - return fs.readFileSync(getNodesPathFile(), { encoding: "utf-8" }); +const getBlocksDirPath = (): string => { + if (fs.existsSync(getBlocksPathFile())) { + return fs.readFileSync(getBlocksPathFile(), { encoding: "utf-8" }); } - return join(os.homedir(), "Downloads", "nodes"); + if (!app.isPackaged) { + return join(process.cwd(), "PYTHON", "blocks"); + } + return join(app.getPath("downloads"), "blocks"); }; const sendLogToStudio = @@ -179,12 +182,12 @@ const sendLogToStudio = ); }; -const updateNodesPack = ( - nodesPath: string, +const updateBlocksPack = ( + blocksPath: string, win: BrowserWindow, icon: string, ) => { - const title = "Updating Nodes resource pack"; + const title = "Updating blocks resource pack"; const description = "Update can take few minutes to complete, please do not close the app!"; sendLogToStudio(title, description)(win, { @@ -194,12 +197,12 @@ const updateNodesPack = ( }); // Store the current working directory const currentDirectory = process.cwd(); - if (!fs.existsSync(nodesPath)) { + if (!fs.existsSync(blocksPath)) { sendLogToStudio(title, description)( win, - `Error - Nodes directory is not found at ${nodesPath}.. downloading nodes resource pack..`, + `Error - Blocks directory is not found at ${blocksPath}.. downloading blocks resource pack..`, ); - saveNodePack({ + saveBlocksPack({ win, startup: true, icon, @@ -207,7 +210,7 @@ const updateNodesPack = ( return; } try { - process.chdir(nodesPath); + process.chdir(blocksPath); // Check if there are any local changes const statusOutput = execSync("git status --porcelain").toString(); if (statusOutput.trim().length > 0) { @@ -227,7 +230,7 @@ const updateNodesPack = ( `Created zip file: ${zipFileName} ...`, ); // Create a new folder for the zip file and move it there - const zipFolder = join(nodesPath, ".local-changes"); + const zipFolder = join(blocksPath, ".local-changes"); fs.mkdirSync(zipFolder, { recursive: true }); sendLogToStudio(title, description)( @@ -243,26 +246,26 @@ const updateNodesPack = ( execSync("git pull"); sendLogToStudio(title, description)( win, - "Updated nodes resource pack successfully!", + "Updated blocks resource pack successfully!", ); } else { sendLogToStudio(title, description)( win, - "Updating nodes resource pack... hang tight..", + "Updating blocks resource pack... hang tight..", ); // There are no local changes, simply run git pull const pullResult = execSync("git pull").toString(); sendLogToStudio(title, description)(win, pullResult); sendLogToStudio(title, description)( win, - "Updated nodes resource pack successfully!", + "Updated blocks resource pack successfully!", ); } win.reload(); // Restore the original working directory process.chdir(currentDirectory); } catch (error) { - dialog.showErrorBox("Failed to update nodes pack", error?.message); + dialog.showErrorBox("Failed to update blocks pack", error?.message); process.chdir(currentDirectory); } }; diff --git a/electron/main/index.ts b/electron/main/index.ts index eff7f537f..61c04a33f 100644 --- a/electron/main/index.ts +++ b/electron/main/index.ts @@ -11,7 +11,7 @@ import { release } from "node:os"; import { join } from "node:path"; import { update } from "./update"; import { runBackend } from "./backend"; -import { saveNodePack } from "./node-pack-save"; +import { saveBlocksPack } from "./blocks-pack-save"; import { killSubProcess } from "./cmd"; import fs from "fs"; import { Logger } from "./logger"; @@ -89,17 +89,38 @@ const handleShowSaveAsDialog = async (_, defaultFilename: string) => { contextMenu({ showSaveImageAs: true, + prepend() { + return [ + { + label: "Reload Studio", + visible: true, + click(_, browserWindow) { + browserWindow?.webContents.reload(); + }, + }, + ]; + }, }); +const isPortFree = (port: number) => + new Promise((resolve) => { + const server = require("http") + .createServer() + .listen(port, () => { + server.close(); + resolve(true); + }) + .on("error", () => { + resolve(false); + }); + }); + global.runningProcesses = []; let win: BrowserWindow | null = null; // Here, you can also use other preload -const preload = join( - __dirname, - `../preload/index${!app.isPackaged ? "-dev" : ""}.js`, -); +const preload = join(__dirname, `../preload/index.js`); const url = process.env.VITE_DEV_SERVER_URL; const indexHtml = join(DIST_ELECTRON, "studio", "index.html"); @@ -143,18 +164,34 @@ async function createWindow() { if (app.isPackaged) { await win.loadFile(indexHtml); - await saveNodePack({ win, icon: getIcon(), startup: true }); - runBackend(WORKING_DIR, win).then(({ success }) => { - if (success) { - // reload studio html to fetch fresh manifest file - win?.reload(); - } - }); } else { // electron-vite-vue#298 - win.loadURL(url ?? ""); - // Open devTool if the app is not packaged - // win.webContents.openDevTools(); + await win.loadURL(url ?? ""); + } + await saveBlocksPack({ win, icon: getIcon(), startup: true }); + if (app.isPackaged) { + if (await isPortFree(5392)) { + runBackend(WORKING_DIR, win).then(({ success }) => { + if (success) { + // reload studio html to fetch fresh manifest file + win?.reload(); + } + }); + } else { + const choice = dialog.showMessageBoxSync(win!, { + type: "question", + buttons: ["Exit", "Refresh"], + title: "Existing Server Detected", + message: + "Seems like there is already a Flojoy server running! You should terminate that before running this client.", + }); + if (choice > 0) { + app.relaunch(); + app.exit(); + } else { + app.quit(); + } + } } // Test actively push message to the Electron-Renderer @@ -168,19 +205,19 @@ async function createWindow() { return { action: "deny" }; }); - ipcMain.on("update-nodes-pack", () => { - if (win) saveNodePack({ win, icon: getIcon(), update: true }); + ipcMain.on("update-blocks-pack", () => { + if (win) saveBlocksPack({ win, icon: getIcon(), update: true }); }); - ipcMain.on("update-nodes-resource-path", async () => { + ipcMain.on("change-blocks-resource-path", async () => { if (win) { - await saveNodePack({ win, icon: getIcon() }); + await saveBlocksPack({ win, icon: getIcon() }); } }); // Apply electron-updater update(cleanup); } -app.whenReady().then(() => { +app.whenReady().then(async () => { ipcMain.on("set-unsaved-changes", handleSetUnsavedChanges); ipcMain.on("write-file-sync", handleWriteFileSync); ipcMain.handle("show-save-as-dialog", handleShowSaveAsDialog); @@ -236,7 +273,7 @@ ipcMain.handle("open-win", (_, arg) => { const cleanup = async () => { mainLogger.log( - "Cleaup function invoked, running processes: ", + "Cleanup function invoked, running processes: ", global.runningProcesses.length, ); if (global.runningProcesses.length) { diff --git a/electron/main/logger.ts b/electron/main/logger.ts index 46dfec6e2..11a452f2b 100644 --- a/electron/main/logger.ts +++ b/electron/main/logger.ts @@ -9,8 +9,9 @@ export class Logger { if (serviceName) { this.serviceName = serviceName; } - const logsFolderPath = join(app.getPath("home"), ".flojoy", "logs"); - const logFileName = `log_${serviceName}.txt`; + const { logsFolderPath, logFileName } = Logger.getLogFilePath( + this.serviceName, + ); // Append the formatted date and time to the log file name if (!fs.existsSync(logsFolderPath)) { fs.mkdirSync(logsFolderPath, { recursive: true }); @@ -38,4 +39,13 @@ export class Logger { } }); } + static getLogFilePath(serviceName: string) { + const logsFolderPath = join(app.getPath("home"), ".flojoy", "logs"); + const logFileName = `log_${serviceName}.txt`; + return { + logsFolderPath, + logFileName, + logFilePath: join(logsFolderPath, logFileName), + }; + } } diff --git a/electron/preload/index-dev.ts b/electron/preload/index-dev.ts deleted file mode 100644 index f482502a4..000000000 --- a/electron/preload/index-dev.ts +++ /dev/null @@ -1,4 +0,0 @@ -import { contextBridge } from "electron"; -import api from "../api"; - -contextBridge.exposeInMainWorld("api", { ...api, isPackaged: false }); diff --git a/electron/preload/index.ts b/electron/preload/index.ts index 91fb0bf00..837622b23 100644 --- a/electron/preload/index.ts +++ b/electron/preload/index.ts @@ -1,4 +1,4 @@ import { contextBridge } from "electron"; import api from "../api/index"; -contextBridge.exposeInMainWorld("api", { ...api, isPackaged: true }); +contextBridge.exposeInMainWorld("api", api); diff --git a/environment.yml b/environment.yml new file mode 100644 index 000000000..e5e5cd758 --- /dev/null +++ b/environment.yml @@ -0,0 +1,7 @@ +name: flojoy-studio +channels: + - conda-forge +dependencies: + - python>=3.10,<3.11 + - poetry>=1.6.1,<2.0.0 + - charset-normalizer diff --git a/flojoy b/flojoy index 8fb5aa7ab..04660a1d0 100755 --- a/flojoy +++ b/flojoy @@ -14,30 +14,26 @@ error_mark=❌ is_command_successful=0 -success_msg() -{ - message=$1 - echo -e "$success_color$check_mark $message $default_color" - echo '' +success_msg() { + message=$1 + echo -e "$success_color$check_mark $message $default_color" + echo '' } -info_msg() -{ - message=$1 - echo -e "$info_color$info_mark $message $default_color" - echo '' +info_msg() { + message=$1 + echo -e "$info_color$info_mark $message $default_color" + echo '' } -warning_msg() -{ - message=$1 - echo -e "$warning_color$alert_mark $message $default_color" - echo '' +warning_msg() { + message=$1 + echo -e "$warning_color$alert_mark $message $default_color" + echo '' } -error_msg() -{ - message=$1 - echo -e "$error_color$error_mark $message $default_color" - echo '' - echo '' +error_msg() { + message=$1 + echo -e "$error_color$error_mark $message $default_color" + echo '' + echo '' } echo '' @@ -50,103 +46,95 @@ echo ' || https://docs.flojoy.ai/getting-started/install/ ||' echo ' || ||' echo ' ============================================================' echo '' -venv="" - initNodePackages=true initPythonPackages=true is_ci=false test_ci=false -initSubmodule=true enableSentry=true enableTelemetry=true isDebugMode=false isRemoteMode=false +flojoyEnv="flojoy-studio" +envYml="environment.yml" +updateEnv=true # Gives Feedback if the command run is successful or failed, if failed it exits the execution. -feedback() -{ - is_successful=$1 - message=$2 - help_message=$3 - if [ "$is_successful" -eq 0 ]; then - success_msg "$message" - else - error_msg "$help_message" - exit 1 - fi +feedback() { + is_successful=$1 + message=$2 + help_message=$3 + if [ "$is_successful" -eq 0 ]; then + success_msg "$message" + else + error_msg "$help_message" + exit 1 + fi } # Help function -helpFunction() -{ - echo "" - echo "Usage: $0 -n -p -s -S -t -T -d -v venv-path -r" - echo " -v: path to a Python virtual environment" - echo " -n: To NOT install npm packages" - echo " -p: To NOT install python packages" - echo " -s: To NOT update submodules" - echo " -S: To NOT enable Sentry" - echo " -t: To enable local CI tests" - echo " -T: To disable Telemetry" - echo " -d: To enable debug mode" - echo " -r: To start studio in remote mode without electron" - echo 1 # Exit script after printing help +helpFunction() { + echo "" + echo "Usage: $0 -n -p -S -t -T -d -r -u" + # echo " -v: path to a Python virtual environment" + echo " -n: To NOT install npm packages" + echo " -p: To NOT install python packages" + echo " -S: To NOT enable Sentry" + echo " -t: To enable local CI tests" + echo " -T: To disable Telemetry" + echo " -d: To enable debug mode" + echo " -r: To start studio in remote mode without electron" + echo " -u: To NOT update $flojoyEnv env" + echo 1 # Exit script after printing help } # Parse command-line arguments -while [ $# -gt 0 ] -do - key="$1" - case $key in - -n) - initNodePackages=false - shift - ;; - -p) - initPythonPackages=false - shift - ;; - -v) - venv="$2" - shift - shift - ;; - -c) - is_ci=true - shift - ;; - -T) - enableTelemetry=false - shift - ;; - -S) - enableSentry=false - shift - ;; - -t) - test_ci=true #run with CI=true, allows to properly run tests locally - shift - ;; - -s) - initSubmodule=false # don't update submodules, prevents overwriting local changes - shift - ;; - -d) - isDebugMode=true - shift - ;; - -r) - isRemoteMode=true - shift - ;; - *) # unknown option - echo "Unknown option: $1" - helpFunction - exit 1 - ;; - esac +while [ $# -gt 0 ]; do + key="$1" + case $key in + -n) + initNodePackages=false + shift + ;; + -p) + initPythonPackages=false + shift + ;; + -c) + is_ci=true + shift + ;; + -T) + enableTelemetry=false + shift + ;; + -S) + enableSentry=false + shift + ;; + -t) + test_ci=true #run with CI=true, allows to properly run tests locally + shift + ;; + -d) + isDebugMode=true + shift + ;; + -r) + isRemoteMode=true + shift + ;; + -u) + updateEnv=false + shift + ;; + *) # unknown option + echo "Unknown option: $1" + helpFunction + exit 1 + ;; + esac done git pull @@ -155,174 +143,131 @@ git pull CWD="$PWD" -createFlojoyDirectoryWithYmlFile() -{ - FOLDER=$HOME/.flojoy - FILE=$HOME/.flojoy/flojoy.yaml - if test -d "$FOLDER"; then - if test -f "$FILE"; then - info_msg "$FILE exists." - echo "PATH: $CWD" > $FILE - feedback $? "Updated file path in flojoy.yaml file." "Couldn't update file path in flojoy.yaml file, check the permission or sign in as root user" - - else - info_msg "file flojoy.yaml in directory $FOLDER does not exists. " - touch $FILE && echo "PATH: $CWD" > $FILE - feedback $? "Successfully created flojoy.yaml file in $FOLDER directory." "Couldn't create flojoy.yaml file in $FOLDER directory, check the permission or sign in as root user" - fi - else - info_msg "directory ~/.flojoy/flojoy.yaml does not exists. " - mkdir "$FOLDER" && touch "$FILE" && echo "PATH: $CWD" > "$FILE" - feedback $? "Created new $FOLDER directory with flojoy.yaml file." 'Failed to create file in the home directory, check the permission or sign in as root user' - fi - - CREDENTIALS_FILE=$FOLDER/credentials.txt - - if ! test -f "$CREDENTIALS_FILE"; then - touch "$CREDENTIALS_FILE" - fi +createFlojoyDirectoryWithYmlFile() { + FOLDER=$HOME/.flojoy + FILE=$HOME/.flojoy/flojoy.yaml + if test -d "$FOLDER"; then + if test -f "$FILE"; then + info_msg "$FILE exists." + echo "PATH: $CWD" >$FILE + feedback $? "Updated file path in flojoy.yaml file." "Couldn't update file path in flojoy.yaml file, check the permission or sign in as root user" + + else + info_msg "file flojoy.yaml in directory $FOLDER does not exists. " + touch $FILE && echo "PATH: $CWD" >$FILE + feedback $? "Successfully created flojoy.yaml file in $FOLDER directory." "Couldn't create flojoy.yaml file in $FOLDER directory, check the permission or sign in as root user" + fi + else + info_msg "directory ~/.flojoy/flojoy.yaml does not exists. " + mkdir "$FOLDER" && touch "$FILE" && echo "PATH: $CWD" >"$FILE" + feedback $? "Created new $FOLDER directory with flojoy.yaml file." 'Failed to create file in the home directory, check the permission or sign in as root user' + fi + + CREDENTIALS_FILE=$FOLDER/credentials.txt + + if ! test -f "$CREDENTIALS_FILE"; then + touch "$CREDENTIALS_FILE" + fi } createFlojoyDirectoryWithYmlFile -# update submodules -if [ "$initSubmodule" = true ]; then - git submodule update --init --recursive >/dev/null 2>&1 - feedback $? 'Updated submodules successfully' 'Failed to update submodules, check if git is installed correctly and configured with your github account.' +# Check if Python, Pip, or npm is missing. +if [ $is_ci = false ]; then + source check-dependencies + # Call the function to check for dependencies + missing_dependencies=$(check_dependencies) + # If there are missing dependencies, print the list of them + if [ -n "$missing_dependencies" ]; then + error_msg "$missing_dependencies" + exit 1 + fi fi -# checking virtual environment - -venvCmd="" - -if [ -n "$venv" ] -then - info_msg "Virtual env path is provided, will use: ${venv}" - venvCmd="source ${venv}/bin/activate" - - if [ "$(echo -n $venv | tail -c 1)" = '/' ];then - venvCmd="source ${venv}bin/activate" - fi +eval "$(conda shell.bash hook)" # configure the shell properly +eval "$(conda shell.zsh hook)" # configure the shell properly + +conda activate $flojoyEnv >/dev/null 2>&1 +# Check if the Conda environment exists +if [ $? -eq 0 ]; then + info_msg "$flojoyEnv env found!" + if [ $updateEnv == true ]; then + info_msg "Updating $flojoyEnv env with conda..." + # Environment exists, update it + conda env update --file $envYml --name $flojoyEnv + fi else - info_msg "No virtual env provided" -fi - -# Check if Python, Pip, or npm is missing. -if [ $is_ci = false ];then - source check-dependencies - # Call the function to check for dependencies - missing_dependencies=$(check_dependencies) - # If there are missing dependencies, print the list of them - if [ -n "$missing_dependencies" ]; then - error_msg "$missing_dependencies" - exit 1 - fi + info_msg "$flojoyEnv env not found, creating..." + # Environment doesn't exist, create it + conda env create --file $envYml --name $flojoyEnv + conda activate $flojoyEnv fi # Install python packages -if [ $initPythonPackages = true ] -then - cd $CWD - info_msg "Flag -p is not provided, Python packages will be installed from requirements.txt file" - if [ -n "$venv" ];then - pip_cmd="pip install -r requirements.txt" - else - pip_cmd="python3 -m pip install -r requirements.txt" - fi - set -o pipefail - $venvCmd && $pip_cmd 2>&1 | while IFS= read -r line; do - if [[ $line == Requirement* ]]; then - echo "$line" | awk -F'in' '{print $1}' - elif [[ $line == WARNING* ]]; then - echo '' - else - echo "$line" - fi - done - feedback $? 'Python packages installed successfully!' 'Failed to install Python packages. Look at error details printed above.' +if [ $initPythonPackages = true ]; then + cd $CWD + info_msg "Flag -p is not provided, Python packages will be installed from poetry.lock" + poetry install + set -o pipefail + feedback $? 'Python packages installed successfully!' 'Failed to install Python packages. Look at error details printed above.' fi # Install node packages -if [ $initNodePackages = true ] -then - info_msg "Argument -n is not provided, Node packages will be installed from package.json" - set -o pipefail - cd "$CWD" && npm install 2>&1 - feedback $? 'Installed Node packages successfully.' 'Node package installation failed! Look at error details printed above' +if [ $initNodePackages = true ]; then + info_msg "Argument -n is not provided, Node packages will be installed from package.json" + set -o pipefail + cd "$CWD" && pnpm install 2>&1 + feedback $? 'Installed Node packages successfully.' 'Node package installation failed! Look at error details printed above' fi -if [ $is_ci = true ];then - exit 0 +if [ $is_ci = true ]; then + exit 0 fi # Setup Sentry env var -if [ $enableSentry = true ] -then - info_msg "Sentry will be enabled!" - export FLOJOY_ENABLE_SENTRY=1 +if [ $enableSentry = true ]; then + info_msg "Sentry will be enabled!" + export FLOJOY_ENABLE_SENTRY=1 else - info_msg "Sentry will be disabled!" - export FLOJOY_ENABLE_SENTRY=0 + info_msg "Sentry will be disabled!" + export FLOJOY_ENABLE_SENTRY=0 fi # Setup Telemetry -if [ $enableTelemetry = true ] -then - info_msg "Telemetry will be enabled!" - export FLOJOY_ENABLE_TELEMETRY=1 +if [ $enableTelemetry = true ]; then + info_msg "Telemetry will be enabled!" + export FLOJOY_ENABLE_TELEMETRY=1 else - info_msg "Telemetry will be disabled!" - export FLOJOY_ENABLE_TELEMETRY=0 + info_msg "Telemetry will be disabled!" + export FLOJOY_ENABLE_TELEMETRY=0 fi # setup deploy environment -if [ $isRemoteMode = true ] -then - info_msg "Electron will be disabled!" - export DEPLOY_ENV=remote +if [ $isRemoteMode = true ]; then + info_msg "Electron will be disabled!" + export DEPLOY_ENV=remote else - export DEPLOY_ENV=local + export DEPLOY_ENV=local fi cd $CWD -# YOLOV3 check/download moved to node -# Leave commented until tested? - -# Checking for YOLOV3 Weights -# CWD="$PWD" -# FILE=$PWD/PYTHON/utils/object_detection/yolov3.weights -# if test -f "$FILE"; then -# info_msg "$FILE exists." -# else -# touch "$PWD"/PYTHON/utils/object_detection/yolov3.weights -# wget -O "$PWD"/PYTHON/utils/object_detection/yolov3.weights https://pjreddie.com/media/files/yolov3.weights -# echo '' -# fi - -sleep 1 - # set deploy status to dev export DEPLOY_STATUS=dev # start project services if [ $test_ci = true ]; then - start_project_cmd='npm run start-project:ci' + start_project_cmd='pnpm run start-project:ci' else - start_project_cmd='npm run start-project' + start_project_cmd='pnpm run start-project' fi if [ $isDebugMode = true ]; then - info_msg "Debug mode will be enabled!" - export FASTAPI_LOG=debug + info_msg "Debug mode will be enabled!" + export FASTAPI_LOG=debug else - export FASTAPI_LOG=error + export FASTAPI_LOG=info fi -# start project services -if [ -n "$venvCmd" ]; then - $venvCmd && $start_project_cmd -else - $start_project_cmd -fi +$start_project_cmd diff --git a/flojoy.ps1 b/flojoy.ps1 index e5367c77b..e5086fb94 100644 --- a/flojoy.ps1 +++ b/flojoy.ps1 @@ -58,11 +58,14 @@ Write-Host "" $initNodePackages = $true $initPythonPackages = $true -$initSubmodule = $true $enableSentry = $true $enableTelemetry = $false $isDebugMode = $false $isRemoteMode = $false +$flojoyEnv = "flojoy-studio" +$envYml = "environment.yml" +$updateEnv = $true + # Gives Feedback if the command run is successful or failed, if failed it exits the execution. @@ -85,15 +88,15 @@ function feedback { # Help function function helpFunction { Write-Host "" - Write-Host "Usage: $0 -n -p -s -S -T -v venv -d -r" + Write-Host "Usage: $0 -n -p -S -T -d -r -u -c conda_exec" Write-Host " -n: To NOT install npm packages" Write-Host " -p: To NOT install python packages" - Write-Host " -s: To NOT update submodules" Write-Host " -S: To NOT enable Sentry" Write-Host " -T: To enable Telemetry" - Write-Host " -v: To use virtual env" Write-Host " -d: To enable debug mode" Write-Host " -r: To start studio in remote mode without electron" + Write-Host " -u: To NOT update $flojoyEnv env" + Write-Host " -c: To provide custom file path for conda executable" } # Assign command-line arguments to a variable @@ -116,18 +119,13 @@ while ($arguments) { $initPythonPackages = $false $index = $index + 1 continue - + } elseif ($key -ceq "-S") { $enableSentry = $false $index = $index + 1 continue } - elseif ($key -ceq "-s") { - $initSubmodule = $false - $index = $index + 1 - continue - } elseif ($key -ceq "-r") { $isRemoteMode = $true $index = $index + 1 @@ -143,8 +141,13 @@ while ($arguments) { $index = $index + 1 continue } - elseif ($key -ceq "-v") { - $venvPath = $arguments[$index + 1] + elseif ($key -ceq "-u") { + $updateEnv = $false + $index = $index + 1 + continue + } + elseif ($key -ceq "-c") { + $conda_exec = $arguments[$index + 1] $index = $index + 2 continue } @@ -183,7 +186,7 @@ function createFlojoyDirectoryWithYmlFile { Set-Content $FILE "PATH: $CWD" feedback $? "Created new $FOLDER directory with flojoy.yaml file." "Failed to create file in the home directory, check the permission or sign in as root user" } - + $CREDENTIALS_FILE = "$FOLDER/credentials.txt" if (-not (Test-Path $CREDENTIALS_FILE)) { New-Item $CREDENTIALS_FILE -ItemType File | Out-Null @@ -193,52 +196,45 @@ function createFlojoyDirectoryWithYmlFile { createFlojoyDirectoryWithYmlFile -if ($venvPath) { - info_msg "Venv path is given, will use: $venvPath" - & $venvPath\Scripts\activate -} -if ($initSubmodule -eq $true) { - # Update submodules - & git submodule update --init --recursive > $null - feedback $? 'Updated submodules successfully' 'Failed to update submodules, check if git is installed correctly and configured with your github account.' -} - - -# Check if Python, Pip, or npm is missing. +# Check if Conda or NPM is missing. . ./check-dependencies.ps1 # Call the function to check for dependencies -$missing_dependencies = check_dependencies +$conda_exec = check_dependencies + +# Get envs and expressions to activate conda on current PowerShell +$_conda_expressions = @(Invoke-Expression "$conda_exec shell.powershell hook") -# If there are missing dependencies, print the list of them -if ($missing_dependencies) { - error_msg "$missing_dependencies" - exit 1 +# Iterate through the list of strings and execute each as a command +foreach ($_expression in $_conda_expressions) { + if ($_expression) { + Invoke-Expression $_expression + } } -function check_and_install_py_pckg() { - param ( - $pckg_name, - $pip_cmd - ) - & pip show $pckg_name 2>$1 > $null - $is_installed = $LastExitCode - if ($is_installed -ne 0) { - $install_cmd = "python -m $pip_cmd install $pckg_name" - Invoke-Expression $install_cmd 2>$1 | Out-Null +$env_list = @(conda env list) +$isEnvExists = $env_list | Select-String -Pattern "$flojoyEnv " +if ($isEnvExists) { + info_msg "$flojoyEnv env found!" + if ($updateEnv -eq $true) { + info_msg "Updating $flojoyEnv env..." + conda env update --file $envYml --name $flojoyEnv | Out-Null } } +else { + # Environment doesn't exist, create it + info_msg "$flojoyEnv env not found, creating env with conda..." + conda env create --file $envYml --name $flojoyEnv | Out-Null +} +conda activate $flojoyEnv # Install Python packages if ($initPythonPackages) { - info_msg "Flag -p is not provided, Python packages will be installed from requirements.txt file" + info_msg "Flag -p is not provided, Python packages will be installed with Poetry!" Set-Location $CWD - check_and_install_py_pckg "pipwin" "pip" - check_and_install_py_pckg "matplotlib==3.5.2" "pipwin" - $pip_cmd = "python -m pip install -r requirements.txt" - Invoke-Expression $pip_cmd + & poetry install feedback $? 'Python packages installed successfully!' "Python package installation failed! check error details printed above." } @@ -246,7 +242,7 @@ if ($initPythonPackages) { if ($initNodePackages) { info_msg "Argument -n is not provided, Node packages will be installed from package.json" - & npm install + & pnpm install feedback $? 'Installed Node packages successfully.' 'Node packages installation failed! check error details printed above.' } @@ -254,7 +250,7 @@ if ($initNodePackages) { if ( $enableSentry -eq $true ) { info_msg "Sentry will be enabled!" $Env:FLOJOY_ENABLE_SENTRY = 1 -} +} else { info_msg "Sentry will be disabled!" $Env:FLOJOY_ENABLE_SENTRY = 0 @@ -285,11 +281,12 @@ info_msg 'Starting the project...' if ($isDebugMode -eq $true) { info_msg "Debug mode will be enabled!" $Env:FASTAPI_LOG = "debug" - $startProjectCmd = "npm run start-project:win:debug" + $startProjectCmd = "pnpm run start-project:win:debug" } else { - $Env:FASTAPI_LOG = "error" - $startProjectCmd = "npm run start-project:win" + $Env:FASTAPI_LOG = "info" + $startProjectCmd = "pnpm run start-project:win" } + Invoke-Expression $startProjectCmd diff --git a/manage.py b/manage.py index 7c9aefa79..a6fdfdff2 100755 --- a/manage.py +++ b/manage.py @@ -1,13 +1,11 @@ -import uvicorn import os +import uvicorn + __ignore_list = ["venv"] if __name__ == "__main__": - import uvicorn - import os - log_level = os.environ.get("FASTAPI_LOG", "info") is_dev = os.environ.get("DEPLOY_STATUS", "prod") == "dev" uvicorn.run( diff --git a/package-lock.json b/package-lock.json deleted file mode 100644 index 4527944e3..000000000 --- a/package-lock.json +++ /dev/null @@ -1,41328 +0,0 @@ -{ - "name": "flojoy-studio", - "version": "0.1.15", - "lockfileVersion": 2, - "requires": true, - "packages": { - "": { - "name": "flojoy-studio", - "version": "0.1.15", - "dependencies": { - "@plotly/d3": "^3.8.1", - "@radix-ui/react-alert-dialog": "1.0.3", - "@radix-ui/react-avatar": "^1.0.3", - "@radix-ui/react-collapsible": "^1.0.3", - "@radix-ui/react-dialog": "1.0.4", - "@radix-ui/react-dropdown-menu": "^2.0.5", - "@radix-ui/react-icons": "^1.3.0", - "@radix-ui/react-label": "^2.0.2", - "@radix-ui/react-menubar": "^1.0.3", - "@radix-ui/react-progress": "^1.0.3", - "@radix-ui/react-scroll-area": "^1.0.4", - "@radix-ui/react-select": "^2.0.0", - "@radix-ui/react-separator": "^1.0.3", - "@radix-ui/react-slot": "^1.0.2", - 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"axios": "^1.5.0", + "axios": "^1.5.1", "class-variance-authority": "^0.7.0", "clsx": "^2.0.0", "cmdk": "^0.2.0", "cors": "^2.8.5", "electron-context-menu": "^3.6.1", - "electron-updater": "^5.3.0", + "electron-updater": "^6.1.4", "eslint-plugin-react-hooks": "^4.6.0", "express": "^4.18.2", "file-saver": "^2.0.5", "framer-motion": "^10.16.4", "html-to-image": "^1.11.11", "http-proxy-middleware": "^2.0.6", - "immer": "^10.0.2", - "jotai": "^2.4.2", + "immer": "^10.0.3", + "jotai": "^2.4.3", "jotai-immer": "^0.2.0", "js-yaml": "^4.1.0", "localforage": "^1.10.0", "lucide-react": "^0.279.0", "mixpanel-browser": "^2.47.0", "plotly.js": "file:bauhaus/plotly.js-2.23.2.tgz", - "rc-slider": "^10.3.0", + "rc-slider": "^10.3.1", "react": "^18.2.0", "react-dial-knob": "file:bauhaus/react-dial-knob-1.3.0.tgz", "react-dom": "^18.2.0", - "react-draggable": "^4.4.5", + "react-draggable": "^4.4.6", "react-error-boundary": "^4.0.11", - "react-grid-layout": "^1.4.1", - "react-hook-form": "^7.46.2", + "react-grid-layout": "^1.4.2", + "react-hook-form": "^7.47.0", "react-json-tree": "^0.18.0", "react-markdown": "^8.0.7", "react-plotly.js": "^2.6.0", - "react-router-dom": "^6.16.0", - "react-select": "^5.7.5", + "react-router-dom": "^6.17.0", + "react-select": "^5.7.7", "react-syntax-highlighter": "^15.5.0", "react-tabs": "^6.0.2", "react-use": "^17.4.0", - "reactflow": "^11.8.3", + "reactflow": "^11.9.4", "sonner": "^1.0.3", "tailwind-merge": "^1.14.0", "upath": "^2.0.1", "use-file-picker": "^1.7.0", "uuid": "^9.0.1", - "zod": "^3.22.2", + "zod": "^3.22.4", "zod-validation-error": "^1.5.0" }, "scripts": { "start": "vite", "build": "tsc && vite build", - "backend": "python3 manage.py", - "backend:debug": "python3 manage.py --log-level debug", - "bundle-plotly": "cd node_modules/plotly.js && npm i && npm run custom-bundle -- --traces scatter,scatter3d,surface,table,histogram,image,bar,indicator,heatmap", - "start-project": "concurrently --prefix \"[{time}-{name}]\" -n \"React,FastAPI\" -c auto \"npm:start\" \"npm:backend\"", - "start-project:win": "concurrently --prefix \"[{time}-{name}]\" -n \"React,FastAPI\" -c auto \"npm:start\" \"python manage.py\"", - "start-project:win:debug": "concurrently --prefix \"[{time}-{name}]\" -n \"React,FastAPI\" -c auto \"npm:start\" \"python manage.py --log-level debug\"", - "start-project:ci": "CI=true concurrently --prefix \"[{time}-{name}]\" -n \"React,FastAPI\" -c auto \"npm:start\" \"npm:backend\"", - "start-project:debug": "DEBUG=true concurrently --prefix \"[{time}-{name}]\" -n \"React,FastAPI\" -c auto \"npm:start\" \"npm:backend:debug\"", - "format": "npx prettier --write . && black . --extend-exclude '/(node_modules)/'", - "check": "npx prettier --check . && black . --extend-exclude '/(node_modules)/' --check", + "backend": "poetry run python3 manage.py", + "backend:debug": "poetry run python3 manage.py --log-level debug", + "bundle-plotly": "cd node_modules/plotly.js && pnpm install && pnpm run custom-bundle -- --traces scatter,scatter3d,surface,table,histogram,image,bar,indicator,heatmap", + "start-project": "concurrently --prefix \"[{time}-{name}]\" -n \"React,FastAPI\" -c auto \"pnpm:start\" \"pnpm:backend\"", + "start-project:win": "concurrently --prefix \"[{time}-{name}]\" -n \"React,FastAPI\" -c auto \"pnpm:start\" \"python manage.py\"", + "start-project:win:debug": "concurrently --prefix \"[{time}-{name}]\" -n \"React,FastAPI\" -c auto \"pnpm:start\" \"python manage.py --log-level debug\"", + "start-project:ci": "CI=true concurrently --prefix \"[{time}-{name}]\" -n \"React,FastAPI\" -c auto \"pnpm:start\" \"pnpm:backend\"", + "start-project:debug": "DEBUG=true concurrently --prefix \"[{time}-{name}]\" -n \"React,FastAPI\" -c auto \"pnpm:start\" \"pnpm:backend:debug\"", + "format": "npx prettier --write .", + "check": "npx prettier --check .", "e2e": "CI=true cypress run --browser chrome", "cypress": "cypress open", "electron-dev": "electron .", - "electron-package": "npm run build && electron-builder build --publish always -wml", - "electron-package:win": "pwsh -c \"scripts/get_micromamba.ps1\" && npm run build && electron-builder build --win", - "electron-package:linux": "bash scripts/get_micromamba.sh && npm run build && electron-builder build --linux", - "electron-package:mac": "bash scripts/get_micromamba.sh && npm run build && electron-builder build --mac --universal", + "electron-package": "pnpm run build && electron-builder build --publish always -wml", + "electron-package:windows": "pnpm run build && electron-builder build --win", + "electron-package:linux": "pnpm run build && electron-builder build --linux", + "electron-package:mac": "pnpm run build && electron-builder build --mac --universal", "electron-publish": "electron-builder build --publish always -mwl", "test": "CI=true jest", "test:watch": "jest --watch --coverage", "test:dev": "jest --updateSnapshot", - "update-submodule": "git submodule update --remote --recursive", "cy:run:report": "nyc --reporter=html cypress run" }, "devDependencies": { - 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"@typescript-eslint/eslint-plugin": "^6.7.2", - "@typescript-eslint/parser": "^6.7.2", - "@vitejs/plugin-react-swc": "^3.3.2", + "@types/uuid": "^9.0.6", + "@types/wicg-file-system-access": "^2020.9.8", + "@typescript-eslint/eslint-plugin": "^6.8.0", + "@typescript-eslint/parser": "^6.8.0", + "@vitejs/plugin-react-swc": "^3.4.0", "autoprefixer": "^10.4.16", - "concurrently": "^8.2.1", + "concurrently": "^8.2.2", "cypress": "^12.17.4", "cypress-xpath": "^2.0.1", "dotenv": "^16.3.1", - "electron": "^24.8.3", + "electron": "^26.4.1", "electron-builder": "^24.6.4", - "eslint": "^8.49.0", + "eslint": "^8.51.0", "eslint-plugin-react": "^7.33.2", "eslint-plugin-react-refresh": "^0.4.3", "jest": "^29.7.0", "jest-environment-jsdom": "^29.7.0", "nyc": "^15.1.0", - "postcss": "^8.4.30", + "postcss": "^8.4.31", "prettier": "^3.0.3", - "prettier-plugin-tailwindcss": "^0.5.4", + "prettier-plugin-tailwindcss": "^0.5.6", "tailwindcss": "^3.3.3", "tailwindcss-animate": "^1.0.7", + "tree-kill": "^1.2.2", "ts-jest": "^29.1.1", "ts-node": "^10.9.1", "typescript": "^5.2.2", - "vite": "^4.4.9", - "vite-plugin-electron": "^0.11.2", + "vite": "^4.5.0", + "vite-plugin-electron": "^0.14.1", "vite-plugin-electron-renderer": "^0.14.5", "vite-plugin-environment": "^1.1.3", "vite-plugin-eslint": "^1.8.1", diff --git a/pkgs/flojoy/LICENSE.txt b/pkgs/flojoy/LICENSE.txt new file mode 100644 index 000000000..4577884d6 --- /dev/null +++ b/pkgs/flojoy/LICENSE.txt @@ -0,0 +1,18 @@ + +MIT License +Copyright (c) 2023 On Scene Creative +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/pkgs/flojoy/MANIFEST b/pkgs/flojoy/MANIFEST new file mode 100644 index 000000000..381431a07 --- /dev/null +++ b/pkgs/flojoy/MANIFEST @@ -0,0 +1,10 @@ +# file GENERATED by distutils, do NOT edit +setup.cfg +setup.py +flojoy/__init__.py +flojoy/flojoy_instruction.py +flojoy/flojoy_python.py +flojoy/job_result_builder.py +flojoy/job_result_utils.py +flojoy/plotly_utils.py +flojoy/utils.py diff --git a/pkgs/flojoy/README.md b/pkgs/flojoy/README.md new file mode 100644 index 000000000..b1f207483 --- /dev/null +++ b/pkgs/flojoy/README.md @@ -0,0 +1,97 @@ +# Flojoy / Python + +The Python repo for Flojoy infrastructure. Including the client for Flojoy's desktop app, the `@flojoy` decorator, and various utilities for node creation. + +## The `@flojoy` decorator + +### Usage: + +```python +from scipy import signal +import numpy as np +from flojoy import flojoy, DataContainer + +@flojoy +def BUTTER(v, params): + ''' Apply a butterworth filter to an input vector ''' + + logger.debug('Butterworth inputs:', v) + + x = v[0].x + sig = v[0].y + + sos = signal.butter(10, 15, 'hp', fs=1000, output='sos') + filtered = signal.sosfilt(sig, sig) + + return DataContainer(x = x, y = filtered) +``` + +The `@flojoy` decorator automatically injects vector(s) passed from the previous node, as well as any control parameters set in the CTRL panel UI. + +Please see https://github.com/flojoy-io/flojoy-desktop/tree/main/PYTHON/FUNCTIONS for more usage examples. + +### Supported data types + +See https://github.com/flojoy-io/flojoy-python/issues/4 + +## Reconcilers + +Flojoy nodes should try to accomodate any reasonable combination of inputs that a first-time Flojoy Studio user might try. + +For example, the ADD node should make a best effort to do something reasonable when a matrix is added to a DataFrame, or a 2 matrices of a different size are added. + +For this reason, we've created the `Reconciler` class to handle the process of turning different data types into compatible, easily added objects. + +### An Example + +Here's an example of the Reconciler in action from the ADD node. Just initialize the Reconciler and pass it pairs of primitives from within your DataContainers. + +```python +def ADD(dc_inputs: list[DataContainer], params: dict) -> DataContainer: + ... + + dc_reconciler = Reconciler() + cur_sum = dc_inputs[0] + for operand_n in dc_inputs[1:]: + # reconcile the types of the inputs before calling numpy + reconciled_lhs, reconciled_rhs = dc_reconciler.reconcile(cur_sum.y, operand_n.y) + cur_sum = np.add(reconciled_lhs, reconciled_rhs) + return DataContainer(x=dc_inputs[0].x, y=cur_sum) +``` + +## Customizing your Reconcilers for different Node Categories + +Have a different idea about how you want your DataContainers to be interoperable? Subclass `Reconciler` and override the specific type pairs you're interested in. + +For example, let's say we're writing image processing nodes, and we want special behavior when dealing with certain image-like DataContainers. + +```python +class ImageProcessingReconciler(Reconciler): + def __init__(): + super().__init__() + # override only for the pair of types you're interested in! + def image__image(self, lhs, rhs): + # special handling for reconciling two different images + ... + return reconciled_lhs, reconciled_rhs + def grayscale__image(self, lhs, rhs): + # special handling for reconciling a grayscale and an image + ... + return reconciled_lhs, reconciled_rhs +``` + +## Publish Package on PYPI + +### Uploading file via _Twine_ + +You have to install `twine` package first if not installed already. +To install `twine` run following command: +`pip install twine` + +- Update version in [setup.py](setup.py#L5). For example: `version = '0.0.1'` for prod version and `version = '0.0.1-dev'` for dev version release, +- Run following command to make a distribution file: + `python3 setup.py sdist` +- To upload files on `PYPI`, run following command: + `twine upload dist/*` + +**Note:** You'll need `username` and `password` to make a release. Please get in touch with the team for credentials. diff --git a/pkgs/flojoy/environment.yml b/pkgs/flojoy/environment.yml new file mode 100644 index 000000000..eef103260 --- /dev/null +++ b/pkgs/flojoy/environment.yml @@ -0,0 +1,32 @@ +name: flojoy-python +channels: + - conda-forge + - defaults +dependencies: + - python>=3.10,<3.11 + - pip>=23,<24 + - pandas>=2,<3 + - numpy>=1,<2 + - plotly>=5,<6 + - pillow>=10,<11 + - python-dotenv>=1,<2 + - pyyaml>=6.0,<6.1 + - requests>=2,<3 + - keyring>=24,<25 + - python-box>=7,<8 + - pydantic>=2,<3 + - huggingface_hub>=0,<1 + - cloudpickle>=2,<3 + - networkx>=3,<4 + - scipy>=1,<2 + - matplotlib>=3,<4 + - portalocker>=2,<3 + - pip: + - qcodes>=0,<1 +platforms: + - linux-64 + - osx-64 + - win-64 + - osx-arm64 + - linux-aarch64 + - linux-ppc64le diff --git a/pkgs/flojoy/flojoy/CONSTANTS.py b/pkgs/flojoy/flojoy/CONSTANTS.py new file mode 100644 index 000000000..fac98659a --- /dev/null +++ b/pkgs/flojoy/flojoy/CONSTANTS.py @@ -0,0 +1,11 @@ +import os +import sys + +KEY_WORKER_JOBS = "WORKER_JOBS" +KEY_ALL_JOBEST_IDS = "ALL_JOBSET_IDS" +FLOJOY_DIR = ".flojoy" +CREDENTIAL_FILE = "credentials.txt" +if sys.platform == "win32": + FLOJOY_CACHE_DIR = os.path.realpath(os.path.join(os.environ["APPDATA"], FLOJOY_DIR)) +else: + FLOJOY_CACHE_DIR = os.path.realpath(os.path.join(os.environ["HOME"], FLOJOY_DIR)) diff --git a/pkgs/flojoy/flojoy/__init__.py b/pkgs/flojoy/flojoy/__init__.py new file mode 100644 index 000000000..2b61c5258 --- /dev/null +++ b/pkgs/flojoy/flojoy/__init__.py @@ -0,0 +1,20 @@ +from .data_container import * +from .flojoy_python import * +from .job_result_builder import * +from .flojoy_instruction import * +from .plotly_utils import * +from .module_scraper import * +from .job_result_utils import * +from .data_container import * +from .utils import * +from .parameter_types import * +from .small_memory import * +from .flojoy_node_venv import * +from .job_service import * +from .node_init import * +from .config import * +from .node_preflight import * +from .flojoy_cloud import * +from .instruments import * +from .models import * +from .connection_manager import * diff --git a/pkgs/flojoy/flojoy/__init__.pyi b/pkgs/flojoy/flojoy/__init__.pyi new file mode 100644 index 000000000..13d2fb409 --- /dev/null +++ b/pkgs/flojoy/flojoy/__init__.pyi @@ -0,0 +1,29 @@ +from typing import Optional, Any, TypedDict +from .data_container import * +from .flojoy_python import * +from .job_result_builder import * +from .flojoy_instruction import * +from .plotly_utils import * +from .module_scraper import * +from .job_result_utils import * +from .utils import * +from .parameter_types import * +from .small_memory import * +from .flojoy_node_venv import * +from .job_service import * +from .node_init import * +from .node_preflight import * +from .data_container import * +from .config import * +from .flojoy_cloud import * +from .models import * + +def flojoy( + original_function: Callable[..., DataContainer | dict[str, Any] | TypedDict | None] + | None = None, + *, + node_type: Optional[str] = None, + deps: Optional[dict[str, str]] = None, + inject_node_metadata: bool = False, + inject_connection: bool = False, +) -> Callable[..., DataContainer | dict[str, Any] | None]: ... diff --git a/pkgs/flojoy/flojoy/config.py b/pkgs/flojoy/flojoy/config.py new file mode 100644 index 000000000..f6bbcf10d --- /dev/null +++ b/pkgs/flojoy/flojoy/config.py @@ -0,0 +1,19 @@ +import logging + +LOGGER_NAME = "flojoy" + + +class FlojoyConfig: + _instance = None + + @classmethod + def get_instance(cls): + if cls._instance is None: + cls._instance = FlojoyConfig() + return cls._instance + + def __init__(self): + self.is_offline = False + + +logger = logging.getLogger(LOGGER_NAME) diff --git a/pkgs/flojoy/flojoy/connection_manager.py b/pkgs/flojoy/flojoy/connection_manager.py new file mode 100644 index 000000000..09cf1bfdd --- /dev/null +++ b/pkgs/flojoy/flojoy/connection_manager.py @@ -0,0 +1,51 @@ +from threading import Lock + +from flojoy.parameter_types import ( + HardwareConnection, + HardwareDevice, + CameraDevice, + CameraConnection, + SerialDevice, + SerialConnection, + VisaDevice, + VisaConnection, + NIDevice, + NIConnection, +) +from typing import Any +from .config import logger + +_connection_lock = Lock() + + +class DeviceConnectionManager: + handles: dict[str | int, HardwareConnection] = {} + + @classmethod + def register_connection(cls, device: HardwareDevice, connection: Any): + with _connection_lock: + id = device.get_id() + if id in cls.handles: + raise ValueError(f"Connection with id {id} already exists") + + match device: + case CameraDevice(): + cls.handles[id] = CameraConnection(connection) + case SerialDevice(): + cls.handles[id] = SerialConnection(connection) + case VisaDevice(): + cls.handles[id] = VisaConnection(connection) + case NIDevice(): + cls.handles[id] = NIConnection(connection) + + @classmethod + def get_connection(cls, id: str | int) -> HardwareConnection: + with _connection_lock: + return cls.handles[id] + + @classmethod + def clear(cls): + with _connection_lock: + cls.handles.clear() + + logger.debug(f"Connections closed: {cls.handles}") diff --git a/pkgs/flojoy/flojoy/dao.py b/pkgs/flojoy/flojoy/dao.py new file mode 100644 index 000000000..03afe9973 --- /dev/null +++ b/pkgs/flojoy/flojoy/dao.py @@ -0,0 +1,210 @@ +from numpy import ndarray +from pandas import DataFrame as PandasDataFrame +from typing import Any, Callable +from threading import Lock +from .data_container import DCNpArrayType + +MAX_LIST_SIZE = 1000 + +_dict_sm_lock = Lock() # dict small memory lock +_dict_job_lock = Lock() # dict job lock +_dict_node_init_container_lock = Lock() +_dict_node_init_func_lock = Lock() +_init_lock = Lock() + +""" +Used by clients to create a new instance of the datastorage +""" + + +def create_storage(): + return Dao.get_instance() + + +""" +This class is a Singleton that acts as a in-memory datastorage + +IMPORTANT: The commented code should not be removed, as it acts as a reference for the future +in case we need to implement a Redis based datastorage +""" + + +class Dao: + _instance = None + + @classmethod + def get_instance(cls): + with _init_lock: + if Dao._instance is None: + Dao._instance = Dao() + return Dao._instance + + def __init__(self): + self.storage = {} # small memory + self.job_results = {} + self.node_init_container = {} + self.node_init_func = {} + + """ + METHODS FOR JOB RESULTS + """ + + def get_job_result(self, job_id: str) -> Any | None: + with _dict_job_lock: + res = self.job_results.get(job_id, None) + if res is None: + raise ValueError(f"Job result with id {job_id} does not exist") + return res + + def post_job_result(self, job_id: str, result: Any): + with _dict_job_lock: + self.job_results[job_id] = result + + def clear_job_results(self): + with _dict_job_lock: + self.job_results.clear() + + def job_exists(self, job_id: str) -> bool: + with _dict_job_lock: + return job_id in self.job_results.keys() + + def delete_job(self, job_id: str): + with _dict_job_lock: + self.job_results.pop(job_id, None) + + """ + METHODS FOR SMALL MEMORY + """ + + def clear_small_memory(self): + with _dict_sm_lock: + self.storage.clear() + + def check_if_valid(self, result: Any | None, expected_type: Any): + with _dict_sm_lock: + if result is not None and not isinstance(result, expected_type): + raise ValueError( + f"Expected {expected_type} type, but got {type(result)} instead!" + ) + + def set_np_array(self, memo_key: str, value: DCNpArrayType): + with _dict_sm_lock: + self.storage[memo_key] = value + + def set_pandas_dataframe(self, key: str, dframe: PandasDataFrame): + with _dict_sm_lock: + self.storage[key] = dframe + + def set_str(self, key: str, value: str): + with _dict_sm_lock: + self.storage[key] = value + + def set_bool(self, key: str, value: bool): + with _dict_sm_lock: + self.storage[key] = value + + def get_pd_dataframe(self, key: str) -> PandasDataFrame | None: + with _dict_sm_lock: + encoded = self.storage.get(key, None) + self.check_if_valid(encoded, PandasDataFrame) + return encoded + + def get_np_array(self, memo_key: str) -> DCNpArrayType | None: + with _dict_sm_lock: + encoded = self.storage.get(memo_key, None) + self.check_if_valid(encoded, ndarray) + return encoded + + def get_str(self, key: str) -> str | None: + with _dict_sm_lock: + encoded = self.storage.get(key, None) + return encoded + + def get_obj(self, key: str) -> dict[str, Any] | None: + with _dict_sm_lock: + r_obj = self.storage.get(key, None) + self.check_if_valid(r_obj, dict) + return r_obj + + def set_obj(self, key: str, value: dict[str, Any]): + with _dict_sm_lock: + self.storage[key] = value + + def delete_object(self, key: str): + with _dict_sm_lock: + self.storage.pop(key) + + def remove_item_from_set(self, key: str, item: Any): + with _dict_sm_lock: + res = self.storage.get(key, None) + self.check_if_valid(res, set) + if not res: + return + with _dict_sm_lock: + res.remove(item) + + def add_to_set(self, key: str, value: Any): + with _dict_sm_lock: + res: set[Any] | None = self.storage.get(key, None) + if res is None: + res = set() + res.add(value) + self.storage[key] = res + return + self.check_if_valid(res, set) + with _dict_sm_lock: + res.add(value) + + def get_set_list(self, key: str) -> list[Any] | None: + with _dict_sm_lock: + res = self.storage.get(key, None) + if res is None: + return None + self.check_if_valid(res, set) + return list(res) + + """ + METHODS FOR NODE INIT + """ + + # -- for node container -- + def clear_node_init_containers(self): + with _dict_node_init_container_lock: + self.node_init_container.clear() + + def set_init_container(self, node_id: str, value): + with _dict_node_init_container_lock: + self.node_init_container[node_id] = value + + def get_init_container(self, node_id: str): + with _dict_node_init_container_lock: + res = self.node_init_container.get(node_id, None) + from .node_init import NodeInitContainer # avoid circular import + + self.check_if_valid(res, NodeInitContainer) + return res + + def has_init_container(self, node_id: str) -> bool: + with _dict_node_init_container_lock: + return node_id in self.node_init_container.keys() + + # ------------------------ + + # -- for node init function -- + def set_init_function(self, node_func, node_init_func): + with _dict_node_init_func_lock: + self.node_init_func[node_func] = node_init_func + + def get_init_function(self, node_func: Callable): + with _dict_node_init_func_lock: + res = self.node_init_func.get(node_func, None) + from .node_init import NodeInit # avoid circular import + + self.check_if_valid(res, NodeInit) + return res + + def has_init_function(self, node_func) -> bool: + with _dict_node_init_func_lock: + return node_func in self.node_init_func.keys() + + # ---------------------------- diff --git a/pkgs/flojoy/flojoy/data_container.py b/pkgs/flojoy/flojoy/data_container.py new file mode 100644 index 000000000..a506b21c8 --- /dev/null +++ b/pkgs/flojoy/flojoy/data_container.py @@ -0,0 +1,542 @@ +import difflib +import typing +import numpy as np +from pandas import DataFrame as PandasDataFrame +from box import Box, box_list +import plotly.graph_objects as go # type:ignore +from typing import Union, Literal, get_args, Any, cast + + +def find_closest_match(given_str: str, available_str: list[str]): + closest_match = difflib.get_close_matches(given_str, available_str, n=1) + if closest_match: + return closest_match[0] + else: + return None + + +DCType = Literal[ + "DataFrame", + "Grayscale", + "Image", + "Matrix", + "OrderedPair", + "OrderedTriple", + "Plotly", + "Bytes", + "TextBlob", + "Boolean", + "Scalar", + "Surface", + "Vector", + "Stateful", + "ParametricDataFrame", + "ParametricGrayscale", + "ParametricImage", + "ParametricMatrix", + "ParametricOrderedPair", + "ParametricOrderedTriple", + "ParametricPlotly", + "ParametricScalar", + "ParametricSurface", + "ParametricVector", +] + +DCNpArrayType = np.ndarray[Union[int, float], np.dtype[Any]] + +DCKwargsValue = Union[ + list[Union[int, float]], + int, + float, + dict[str, Union[int, float, DCNpArrayType]], + DCNpArrayType, + PandasDataFrame, + go.Figure, + bytes, + str, + bool, + None, +] + +ExtraType = dict[str, Any] | None + + +class DataContainer(Box): + """ + A class that processes various types of data and supports dot assignment + + Learn more: https://github.com/flojoy-io/flojoy-python/issues/4 + + Usage + ----- + import numpy as np + + v = DataContainer() + + v.x = np.linspace(1,20,0.1) + + v.y = np.sin(v.x) + + v.type = 'OrderedPair' + + """ + + allowed_types = list(typing.get_args(DCType)) + allowed_keys = [ + "x", + "y", + "z", + "t", + "v", + "m", + "c", + "r", + "g", + "b", + "a", + "text_blob", + "fig", + "obj", + "extra", + ] + combinations = { + "x": ["y", "t", "z", "extra"], + "y": ["x", "t", "z", "extra"], + "z": ["x", "y", "t", "extra"], + "c": ["t", "extra"], + "v": ["t", "extra"], + "m": ["t", "extra"], + "t": [*(value for value in allowed_keys if value not in ["t"])], + "r": ["g", "b", "t", "a", "extra"], + "g": ["r", "b", "t", "a", "extra"], + "b": ["r", "g", "t", "a", "extra"], + "a": ["r", "g", "b", "t", "extra"], + "obj": ["extra"], + "bytes": ["extra"], + "bool": ["extra"], + "text_blob": ["extra"], + "extra": [*(k for k in allowed_keys if k not in ["extra"])], + "fig": ["t", "extra"], + } + type_keys_map: dict[DCType, list[str]] = { + "DataFrame": ["m"], + "Matrix": ["m"], + "Vector": ["v"], + "Grayscale": ["m"], + "Image": ["r", "g", "b", "a"], + "OrderedPair": ["x", "y"], + "OrderedTriple": ["x", "y", "z"], + "Surface": ["x", "y", "z"], + "Scalar": ["c"], + "Plotly": ["fig"], + "Bytes": ["b"], + "TextBlob": ["text_blob"], + "Boolean": ["b"], + "Stateful": ["obj"], + } + + SKIP_ARRAYIEFY_TYPES = [ + str, + bytes, + bool, + go.Figure, + PandasDataFrame, + np.ndarray, + ] # value types not to be arrayified + + type: DCType + + def copy(self): + # Create an instance of DataContainer class + copied_instance = DataContainer(**self) + return copied_instance + + def _ndarrayify( + self, value: DCKwargsValue + ) -> Union[ + DCNpArrayType, PandasDataFrame, dict[str, DCNpArrayType], go.Figure, None + ]: + if isinstance(value, int) or isinstance(value, float): + return np.array([value]) + elif isinstance(value, dict): + arrayified_value: dict[str, DCNpArrayType] = {} + for k, v in value.items(): + arrayified_value[k] = cast(DCNpArrayType, self._ndarrayify(v)) + return arrayified_value + elif isinstance(value, box_list.BoxList): + arrayified_value: dict[str, DCNpArrayType] = {} + for k, v in value.__dict__.items(): + arrayified_value[k] = cast(DCNpArrayType, self._ndarrayify(v)) + return arrayified_value + elif isinstance(value, list): + return np.array(value) + elif value is None: + return value + else: + raise ValueError( + f"DataContainer keys must be any of " + f"following types: {get_args(DCKwargsValue)}" + ) + + def __init__( # type:ignore + self, type: DCType = "OrderedPair", **kwargs: DCKwargsValue + ): + self.type = type + for k, v in kwargs.items(): + self[k] = v + + def __getattribute__(self, __name: str) -> Any: + return super().__getattribute__(__name) + + def __getitem__(self, key: str, _ignore_default: bool = False) -> Any: + return super().__getitem__(key, _ignore_default) # type:ignore + + def __setitem__(self, key: str, value: DCKwargsValue) -> None: + if ( + key not in ["type", "extra", "c", "obj"] + and type(value) not in self.SKIP_ARRAYIEFY_TYPES + ): + formatted_value = self._ndarrayify(value) + super().__setitem__(key, formatted_value) # type:ignore + else: + super().__setitem__(key, value) # type: ignore + + def __check_combination(self, key: str, keys: list[str], allowed_keys: list[str]): + for i in keys: + if i not in allowed_keys: + raise ValueError( + f"You can't have '{key}' and '{i}' keys together for '{self.type}' type!" + ) + + def __validate_key_for_type(self, data_type: DCType, key: str): + if data_type.startswith("parametric_") and key != "t": + splitted_type = cast(DCType, data_type.split("parametric_")[1]) + self.__validate_key_for_type(splitted_type, key) + else: + if ( + key not in self.type_keys_map[data_type] + ["extra"] + and data_type != "plotly" + ): + raise KeyError( + self.__build_error_text( + key, data_type, self.type_keys_map[data_type] + ) + ) + + def __check_for_missing_keys(self, dc_type: DCType, keys: list[str]): + if dc_type.startswith("parametric_"): + if "t" not in keys: + raise KeyError(f't key must be provided for "{dc_type}"') + t = self["t"] + is_ascending_order = all(t[i] <= t[i + 1] for i in range(len(t) - 1)) + if is_ascending_order is not True: + raise ValueError("t key must be in ascending order") + splitted_type = cast(DCType, dc_type.split("parametric_")[1]) + self.__check_for_missing_keys(splitted_type, keys) + else: + for k in self.type_keys_map[dc_type]: + if k not in keys: + raise KeyError(f'"{k}" key must be provided for type "{dc_type}"') + + def __build_error_text(self, key: str, data_type: str, available_keys: list[str]): + return ( + f'Invalid key "{key}" provided for data type "{data_type}", ' + f'supported keys: {", ".join(available_keys)}' + ) + + def validate(self): + dc_type = self.type + + if dc_type not in self.allowed_types: + closest_type = find_closest_match(dc_type, self.allowed_types) + helper_text = ( + f'Did you mean: "{closest_type}" ?' + if closest_type + else f'allowed types: "{", ".join(self.allowed_types)}"' + ) + raise ValueError( + f'unsupported type "{dc_type}" passed to ' + f"DataContainer class, {helper_text}" + ) + dc_keys = list(cast(list[str], self.keys())) + for k in dc_keys: + if k != "type": + self.__check_combination( + k, + list(key for key in dc_keys if key not in ["type", k]), + self.combinations[k], + ) + self.__validate_key_for_type(dc_type, k) + self.__check_for_missing_keys(dc_type, dc_keys) + + +class OrderedPair(DataContainer): + x: DCNpArrayType + y: DCNpArrayType + + def __init__( # type:ignore + self, x: DCNpArrayType, y: DCNpArrayType, extra: ExtraType = None + ): + super().__init__(type="OrderedPair", x=x, y=y, extra=extra) + + +class ParametricOrderedPair(DataContainer): + x: DCNpArrayType + y: DCNpArrayType + t: DCNpArrayType + + def __init__( # type:ignore + self, + x: DCNpArrayType, + y: DCNpArrayType, + t: DCNpArrayType, + extra: ExtraType = None, + ): + super().__init__(type="ParametricOrderedPair", x=x, y=y, t=t, extra=extra) + + +class OrderedTriple(DataContainer): + x: DCNpArrayType + y: DCNpArrayType + z: DCNpArrayType + + def __init__( # type:ignore + self, + x: DCNpArrayType, + y: DCNpArrayType, + z: DCNpArrayType, + extra: ExtraType = None, + ): + super().__init__(type="OrderedTriple", x=x, y=y, z=z, extra=extra) + + +class ParametricOrderedTriple(DataContainer): + x: DCNpArrayType + y: DCNpArrayType + z: DCNpArrayType + t: DCNpArrayType + + def __init__( # type:ignore + self, + x: DCNpArrayType, + y: DCNpArrayType, + z: DCNpArrayType, + t: DCNpArrayType, + extra: ExtraType = None, + ): + super().__init__( + type="ParametricOrderedTriple", x=x, y=y, z=z, t=t, extra=extra + ) + + +class Surface(DataContainer): + x: DCNpArrayType + y: DCNpArrayType + z: DCNpArrayType + + def __init__( # type:ignore + self, + x: DCNpArrayType, + y: DCNpArrayType, + z: DCNpArrayType, + extra: ExtraType = None, + ): + super().__init__(type="Surface", x=x, y=y, z=z, extra=extra) + + def validate(self): + if self.z.ndim < 2: + raise ValueError("z key must be of 2D array for Surface type!") + super().validate() + + +class ParametricSurface(DataContainer): + x: DCNpArrayType + y: DCNpArrayType + z: DCNpArrayType + t: DCNpArrayType + + def __init__( # type:ignore + self, + x: DCNpArrayType, + y: DCNpArrayType, + z: DCNpArrayType, + t: DCNpArrayType, + extra: ExtraType = None, + ): + super().__init__(type="ParametricSurface", x=x, y=y, z=z, t=t, extra=extra) + + def validate(self): + if self.z.ndim < 2: + raise ValueError("z key must be of 2D array for Surface type!") + super().validate() + + +class Scalar(DataContainer): + c: int | float + + def __init__(self, c: int | float, extra: ExtraType = None): # type:ignore + super().__init__(type="Scalar", c=c, extra=extra) + + +class ParametricScalar(DataContainer): + c: int | float + t: DCNpArrayType + + def __init__( # type: ignore + self, c: int | float, t: DCNpArrayType, extra: ExtraType = None + ): + super().__init__(type="ParametricScalar", c=c, t=t, extra=extra) + + +class Vector(DataContainer): + v: DCNpArrayType + + def __init__(self, v: DCNpArrayType, extra: ExtraType = None): # type:ignore + super().__init__(type="Vector", v=v, extra=extra) + + +class ParametricVector(DataContainer): + v: DCNpArrayType + + def __init__( # type: ignore + self, v: DCNpArrayType, t: DCNpArrayType, extra: ExtraType = None + ): + super().__init__(type="ParametricVector", v=v, t=t, extra=extra) + + +class Matrix(DataContainer): + m: DCNpArrayType + + def __init__(self, m: DCNpArrayType, extra: ExtraType = None): # type:ignore + super().__init__(type="Matrix", m=m, extra=extra) + + +class ParametricMatrix(DataContainer): + m: DCNpArrayType + t: DCNpArrayType + + def __init__( # type: ignore + self, m: DCNpArrayType, t: DCNpArrayType, extra: ExtraType = None + ): + super().__init__(type="ParametricMatrix", m=m, t=t, extra=extra) + + +class DataFrame(DataContainer): + m: PandasDataFrame + + def __init__(self, df: PandasDataFrame, extra: ExtraType = None): # type:ignore + super().__init__(type="DataFrame", m=df, extra=extra) + + +class ParametricDataFrame(DataContainer): + m: PandasDataFrame + t: DCNpArrayType + + def __init__( # type:ignore + self, df: PandasDataFrame, t: DCNpArrayType, extra: ExtraType = None + ): + super().__init__(type="ParametricDataFrame", m=df, t=t, extra=extra) + + +class Plotly(DataContainer): + fig: go.Figure + + def __init__(self, fig: go.Figure, extra: ExtraType = None): # type:ignore + super().__init__(type="Plotly", fig=fig, extra=extra) + + +class ParametricPlotly(DataContainer): + fig: go.Figure + t: DCNpArrayType + + def __init__( # type:ignore + self, fig: go.Figure, t: DCNpArrayType, extra: ExtraType = None + ): + super().__init__(type="ParametricPlotly", fig=fig, t=t, extra=extra) + + +class Image(DataContainer): + r: DCNpArrayType + g: DCNpArrayType + b: DCNpArrayType + a: DCNpArrayType | None + + def __init__( # type:ignore + self, + r: DCNpArrayType, + g: DCNpArrayType, + b: DCNpArrayType, + a: DCNpArrayType | None = None, + extra: ExtraType = None, + ): + super().__init__(type="Image", r=r, g=g, b=b, a=a, extra=extra) + + +class Bytes(DataContainer): + b: bytes + + def __init__( + self, + b: bytes, + ): + super().__init__(type="Bytes", b=b) + + +class TextBlob(DataContainer): + text_blob: str + + def __init__(self, text_blob: str): + super().__init__(type="TextBlob", text_blob=text_blob) + + +class Boolean(DataContainer): + b: bool + + def __init__( + self, + b: bool, + ): + super().__init__(type="Boolean", b=b) + + +class ParametricImage(DataContainer): + t: DCNpArrayType + r: DCNpArrayType + g: DCNpArrayType + b: DCNpArrayType + a: DCNpArrayType | None + + def __init__( # type:ignore + self, + r: DCNpArrayType, + g: DCNpArrayType, + b: DCNpArrayType, + a: DCNpArrayType, + t: DCNpArrayType, + extra: ExtraType = None, + ): + super().__init__(type="ParametricImage", r=r, g=g, b=b, a=a, t=t, extra=extra) + + +class Grayscale(DataContainer): + m: DCNpArrayType + + def __init__(self, img: DCNpArrayType, extra: ExtraType = None): # type:ignore + super().__init__(type="Grayscale", m=img, extra=extra) + + +class ParametricGrayscale(DataContainer): + m: DCNpArrayType + t: DCNpArrayType + + def __init__( # type:ignore + self, img: DCNpArrayType, t: DCNpArrayType, extra: ExtraType = None + ): + super().__init__(type="ParametricGrayscale", m=img, t=t, extra=extra) + + +class Stateful(DataContainer): + obj: Any + + def __init__(self, obj: Any, extra: ExtraType = None): + super().__init__(type="Stateful", obj=obj, extra=extra) diff --git a/pkgs/flojoy/flojoy/flojoy_cloud.py b/pkgs/flojoy/flojoy/flojoy_cloud.py new file mode 100644 index 000000000..8483ef13c --- /dev/null +++ b/pkgs/flojoy/flojoy/flojoy_cloud.py @@ -0,0 +1,462 @@ +from PIL import Image as PILImage +import json +import requests +import pandas as pd +import numpy as np +from pydantic import validator, BaseModel +from typing import Optional, Generic, TypeVar + +from flojoy import DataContainer +from flojoy.data_container import ( + OrderedPair, + OrderedTriple, + DataFrame, + Matrix, + Grayscale, + Vector, + Scalar, + Image, +) +from flojoy.utils import PlotlyJSONEncoder + + +class NumpyEncoder(json.JSONEncoder): + """json encoder for numpy types.""" + + def default(self, obj): + if isinstance(obj, np.integer): + return int(obj) + elif isinstance(obj, np.floating): + return float(obj) + elif isinstance(obj, np.ndarray): + return obj.tolist() + return json.JSONEncoder.default(self, obj) + + +DataC = TypeVar("DataC") + + +class DefaultModel(BaseModel, Generic[DataC]): + ref: str + dataContainer: dict + workspaceId: str + location: str + note: str + + +class OrderedPairModel(DefaultModel[DataC], Generic[DataC]): + data: Optional[DataC] + + @validator("dataContainer") + def type_must_match(cls, dc): + assert dc["type"] == "OrderedPair", "dataContainer type does not match." + return dc + + @validator("dataContainer") + def keys_must_match(cls, dc): + assert "x" in dc, 'dataContainer does not contain "x" dataset.' + assert "y" in dc, 'dataContainer does not contain "y" dataset.' + assert isinstance(dc["x"], list), '"x" dataset is not a list' + assert isinstance(dc["y"], list), '"y" dataset is not a list' + return dc + + +class OrderedTripleModel(DefaultModel[DataC], Generic[DataC]): + data: Optional[DataC] + + @validator("dataContainer") + def type_must_match(cls, dc): + assert dc["type"] == "OrderedTriple", "dataContainer type does not match." + return dc + + @validator("dataContainer") + def keys_must_match(cls, dc): + assert "x" in dc, 'dataContainer does not contain "x" dataset.' + assert "y" in dc, 'dataContainer does not contain "y" dataset.' + assert "z" in dc, 'dataContainer does not contain "z" dataset.' + assert isinstance(dc["x"], list), '"x" dataset is not a list' + assert isinstance(dc["y"], list), '"y" dataset is not a list' + assert isinstance(dc["z"], list), '"z" dataset is not a list' + return dc + + +class DataFrameModel(DefaultModel[DataC], Generic[DataC]): + data: Optional[DataC] + + @validator("dataContainer") + def type_must_match(cls, dc): + assert dc["type"] == "DataFrame", "dataContainer type does not match." + return dc + + @validator("dataContainer") + def keys_must_match(cls, dc): + assert "m" in dc, 'dataContainer does not contain "m" dataset.' + assert isinstance( + dc["m"], dict + ), f'"m" dataset is not a list, type: {type(dc["m"])}' + return dc + + +class MatrixModel(DefaultModel[DataC], Generic[DataC]): + data: Optional[DataC] + + @validator("dataContainer") + def type_must_match(cls, dc): + assert dc["type"] == "Matrix", "dataContainer type does not match." + return dc + + @validator("dataContainer") + def keys_must_match(cls, dc): + assert "m" in dc, 'dataContainer does not contain "m" dataset.' + assert isinstance(dc["m"], list), '"m" dataset is not a list' + assert isinstance(dc["m"][0], list), '"m" dataset is not a matrix' + assert not isinstance(dc["m"][0][0], list), '"m" dataset is not 2D' + return dc + + +class GrayscaleModel(DefaultModel[DataC], Generic[DataC]): + data: Optional[DataC] + + @validator("dataContainer") + def type_must_match(cls, dc): + assert dc["type"] == "Grayscale", "dataContainer type does not match." + return dc + + @validator("dataContainer") + def keys_must_match(cls, dc): + assert "m" in dc, 'dataContainer does not contain "m" dataset.' + assert isinstance(dc["m"], list), '"m" dataset is not a list' + assert isinstance(dc["m"][0], list), '"m" dataset is not a matrix' + assert not isinstance(dc["m"][0][0], list), '"m" dataset is not 2D' + return dc + + +class ScalarModel(DefaultModel[DataC], Generic[DataC]): + data: Optional[DataC] + + @validator("dataContainer") + def type_must_match(cls, dc): + assert dc["type"] == "Scalar", "dataContainer type does not match." + return dc + + @validator("dataContainer") + def keys_must_match(cls, dc): + assert "c" in dc, 'dataContainer does not contain "c" dataset.' + assert isinstance(dc["c"], float) or isinstance( + dc["c"], int + ), '"c" dataset is not a float or int' + return dc + + +class VectorModel(DefaultModel[DataC], Generic[DataC]): + data: Optional[DataC] + + @validator("dataContainer") + def type_must_match(cls, dc): + assert dc["type"] == "Vector", "dataContainer type does not match." + return dc + + @validator("dataContainer") + def keys_must_match(cls, dc): + assert "v" in dc, 'dataContainer does not contain "v" dataset.' + assert isinstance(dc["v"], list) + return dc + + +class ImageModel(DefaultModel[DataC], Generic[DataC]): + data: Optional[DataC] + + @validator("dataContainer") + def type_must_match(cls, dc): + assert dc["type"] == "Image", "dataContainer type does not match." + return dc + + @validator("dataContainer") + def keys_must_match(cls, dc): + assert "r" in dc, 'dataContainer does not contain "r" dataset.' + assert "g" in dc, 'dataContainer does not contain "g" dataset.' + assert "b" in dc, 'dataContainer does not contain "b" dataset.' + assert isinstance(dc["r"], list), '"r" dataset is not a list' + assert isinstance(dc["g"], list), '"g" dataset is not a list' + assert isinstance(dc["b"], list), '"b" dataset is not a list' + return dc + + +def check_deserialize(response): + dc_type = response["dataContainer"]["type"] + match dc_type: + case "OrderedPair": + OrderedPairModel.parse_obj(response) + case "OrderedTriple": + OrderedTripleModel.parse_obj(response) + case "DataFrame": + DataFrameModel.parse_obj(response) + case "Matrix": + MatrixModel.parse_obj(response) + case "Grayscale": + GrayscaleModel.parse_obj(response) + case "Scalar": + ScalarModel.parse_obj(response) + case "Vector": + VectorModel.parse_obj(response) + case "Image": + ImageModel.parse_obj(response) + case _: + raise TypeError( + f"Unsupported DataContainer type: {dc_type}. Check case (e.g. OrderedPair)." + ) + + +class FlojoyCloud: + """ + A class that allows pulling and pushing DataContainers from the + Flojoy cloud client (cloud.flojoy.ai). + + Returns data in a pythonic format (e.g. Pillow for images, + DataFrames for arrays/matrices). + + Will support the majority of the Flojoy cloud API: + https://rest.flojoy.ai/api-reference + + Recommended for api key: + utils.get_credentials()[0]["value"] + or + os.environ.get("FLOJOY_CLOUD_KEY") + """ + + def __init__(self, api_key: str): + self.headers = {"api_key": api_key} + self.base_url = "https://cloud.flojoy.ai/api/v1" + self.valid_types = [ + "OrderedPair", + "OrderedTriple", + "DataFrame", + "Grayscale", + "Matrix", + "Scalar", + "Vector", + "Image", + ] + + def _create_payload(self, data, dc_type: str) -> str: + """ + A method that formats data into a payload that can be handled by + the Flojoy cloud client. + """ + if isinstance(data, DataContainer): + return json.dumps({"data": data}, cls=PlotlyJSONEncoder) + + assert ( + dc_type in self.valid_types + ), f"Type {dc_type} not supported. Check capitals (e.g. OrderedPair)." + match dc_type: + case "OrderedPair": + if not (isinstance(data, dict) and "x" in data and "y" in data): + raise TypeError( + "For ordered pair type, data must be in dictionary form with keys 'x' and 'y'" + ) + payload = json.dumps( + { + "data": { + "type": "OrderedPair", + "x": data["x"], + "y": data["y"], + } + }, + cls=NumpyEncoder, + ) + match dc_type: + case "OrderedTriple": + if isinstance(data, dict) and "x" in data: + payload = json.dumps( + { + "data": { + "type": "OrderedTriple", + "x": data["x"], + "y": data["y"], + "z": data["z"], + } + }, + cls=NumpyEncoder, + ) + else: + print( + "For ordered triple type, data must be in" + " dictionary form with keys 'x', 'y', and 'z'" + ) + raise TypeError + case "DataFrame": + payload = json.dumps( + {"data": {"type": "DataFrame", "m": data}}, cls=PlotlyJSONEncoder + ) + case "Matrix": + payload = json.dumps( + {"data": {"type": "Matrix", "m": data}}, cls=NumpyEncoder + ) + case "Grayscale": + payload = json.dumps( + {"data": {"type": "Grayscale", "m": data}}, cls=NumpyEncoder + ) + case "Scalar": + payload = json.dumps( + {"data": {"type": "Scalar", "c": data}}, cls=NumpyEncoder + ) + case "Vector": + payload = json.dumps( + {"data": {"type": "Vector", "v": data}}, cls=NumpyEncoder + ) + case "Image": + RGB_img = np.asarray(data) + red_channel = RGB_img[:, :, 0] + green_channel = RGB_img[:, :, 1] + blue_channel = RGB_img[:, :, 2] + + if RGB_img.shape[2] == 4: + alpha_channel = RGB_img[:, :, 3] + else: + alpha_channel = None + payload = json.dumps( + { + "data": { + "type": "Image", + "r": red_channel, + "g": green_channel, + "b": blue_channel, + "a": alpha_channel, + } + }, + cls=NumpyEncoder, + ) + + return payload + + def fetch_dc(self, dc_id: str) -> dict: + """ + A method that retrieves DataContainers from the Flojoy cloud. + """ + url = f"{self.base_url}/dcs/{dc_id}" + response = requests.request("GET", url, headers=self.headers) + response = json.loads(response.text) + check_deserialize(response) + return response + + def to_python(self, dc: dict) -> pd.DataFrame | float | list | PILImage.Image: + """ + A method that converts data from DataContainers into pythonic + data types like Pillow for images. + """ + dc_type = dc["dataContainer"]["type"] + match dc_type: + case "OrderedPair" | "OrderedTriple": + df = pd.DataFrame(dc["dataContainer"]) + return df.drop(columns=["type"]) + case "DataFrame" | "Matrix" | "Grayscale": + df = pd.DataFrame(dc["dataContainer"]["m"]) + return df + case "Scalar": + return float(dc["dataContainer"]["c"]) + case "Vector": + return list(dc["dataContainer"]["v"]) + case "Image": + image = dc["dataContainer"] + r = image["r"] + g = image["g"] + b = image["b"] + if "a" in image: + a = image["a"] + img_combined = np.stack((r, g, b, a), axis=2) + return PILImage.fromarray(np.uint8(img_combined)).convert("RGBA") + else: + img_combined = np.stack((r, g, b), axis=2) + return PILImage.fromarray(np.uint8(img_combined)).convert("RGB") + + def to_dc(self, dc: dict) -> DataContainer: + """ + A method that converts data from DataContainers into pythonic + data types like Pillow for images. + """ + dc = dc["dataContainer"] + match dc["type"]: + case "OrderedPair": + return OrderedPair(x=np.array(dc["x"]), y=np.array(dc["y"])) + case "OrderedTriple": + return OrderedTriple( + x=np.array(dc["x"]), y=np.array(dc["y"]), z=np.array(dc["z"]) + ) + case "DataFrame": + return DataFrame(df=pd.DataFrame(dc["m"])) + case "Matrix": + return Matrix(m=np.array(dc["m"])) + case "Grayscale": + return Grayscale(img=np.array(dc["m"])) + case "Scalar": + return Scalar(c=float(dc["c"])) + case "Vector": + return Vector(v=np.array(dc["v"])) + case "Image": + r = np.array(dc["r"], dtype=np.uint8) + g = np.array(dc["g"], dtype=np.uint8) + b = np.array(dc["b"], dtype=np.uint8) + if "a" in dc: + a = np.array(dc["a"], dtype=np.uint8) + return Image(r=r, g=g, b=b, a=a) + else: + return Image(r=r, g=g, b=b) + case _: + raise Exception("Unknown data container type") + + def create_measurement(self, name: str, privacy: str = "private") -> dict: + """ + A method that creates a measurements with the name specified. + """ + url = f"{self.base_url}/measurements" + payload = json.dumps({"name": name, "privacy": privacy}) + response = requests.request("POST", url, headers=self.headers, data=payload) + response = json.loads(response.text) + + return response + + def list_measurements(self, size: int = 10) -> list: + """ + A method that lists the number of measurements specified. + + If the number of measurements is less than the specified number, + an error will be thrown. + """ + url = f"{self.base_url}/measurements/?size={size}" + response = requests.request("GET", url, headers=self.headers) + response = json.loads(response.text) + response = response["data"] + + return response + + def fetch_measurement(self, meas_id: str): + """ + A method fetchs measurements from the client. + """ + url = f"{self.base_url}/measurements/{meas_id}" + response = requests.request("GET", url, headers=self.headers) + response = json.loads(response.text) + + return response + + def rename_measurement(self, meas_id: str, name: str): + """ + Rename the specified measurement. + """ + url = f"{self.base_url}/measurements/{meas_id}" + payload = payload = json.dumps({"name": name}) + response = requests.request("PATCH", url, headers=self.headers, data=payload) + response = json.loads(response.text) + + return response + + def store_dc(self, data, dc_type: str, meas_id: str): + """ + A method that stores a formatted data payload in a measurement. + """ + url = f"{self.base_url}/dcs/add/{meas_id}" + payload = self._create_payload(data, dc_type) + response = requests.request("POST", url, headers=self.headers, data=payload) + + return json.loads(response.text) diff --git a/pkgs/flojoy/flojoy/flojoy_instruction.py b/pkgs/flojoy/flojoy/flojoy_instruction.py new file mode 100644 index 000000000..7509a43d5 --- /dev/null +++ b/pkgs/flojoy/flojoy/flojoy_instruction.py @@ -0,0 +1,5 @@ +class FLOJOY_INSTRUCTION: + FLOW_TO_DIRECTIONS = "__flow_to_directions__" + FLOW_TO_NODES = "__flow_to_nodes__" + RESULT_FIELD = "__result_field__" + DATACONTAINER_FIELD = "__data_container_field__" diff --git a/pkgs/flojoy/flojoy/flojoy_node_venv.py b/pkgs/flojoy/flojoy/flojoy_node_venv.py new file mode 100644 index 000000000..21090f842 --- /dev/null +++ b/pkgs/flojoy/flojoy/flojoy_node_venv.py @@ -0,0 +1,424 @@ +""" +This module provides a decorator that allows a function to be executed in a virtual environment. +The decorator will create a virtual environment if it does not exist, and install the pip dependencies +specified in the decorator arguments. The decorator will also install the pip dependencies if the +virtual environment exists but does not contain the pip dependencies. + +Example usage: + +```python +from flojoy import flojoy, run_in_venv + +@flojoy +@run_in_venv(pip_dependencies=["torch==2.0.1", "torchvision==0.15.2"]) +def TORCH_NODE(default: Matrix) -> Matrix: + import torch + import torchvision + # Do stuff with torch + ... + return Matrix(...) + +""" +import hashlib +import importlib.metadata +import inspect +import logging +import multiprocessing +import multiprocessing.connection +import os +import shutil +import subprocess +import sys +import threading +import traceback +import venv +from collections.abc import Iterable, Mapping +from contextlib import ExitStack, contextmanager +from functools import wraps +from time import sleep +from typing import Any, Callable + +import cloudpickle +import portalocker + +from .CONSTANTS import FLOJOY_CACHE_DIR +from .logging import LogPipe, LogPipeMode, StreamEnum + +__all__ = ["run_in_venv"] + + +def _get_venv_cache_dir(): + return os.path.join(FLOJOY_CACHE_DIR, "flojoy_node_venv") + + +def _get_venv_syspath(venv_executable: os.PathLike[Any]) -> list[str]: + """Get the sys.path of the virtual environment.""" + command = [venv_executable, "-c", "import sys\nprint(sys.path)"] + cmd_output = subprocess.run(command, check=True, capture_output=True, text=True) + return eval(cmd_output.stdout) + + +@contextmanager +def swap_sys_path( + venv_executable: os.PathLike[Any], extra_sys_path: list[str] | None = None +): + """Temporarily swap the sys.path of the child process with the sys.path of the parent process.""" + old_path = sys.path + try: + new_path = _get_venv_syspath(venv_executable) + extra_sys_path = [] if extra_sys_path is None else extra_sys_path + sys.path = new_path + extra_sys_path + yield + finally: + sys.path = old_path + + +def _get_venv_executable_path( + venv_path: os.PathLike[Any] | str, +) -> os.PathLike[Any] | str: + """Get the path to the python executable of the virtual environment.""" + if sys.platform == "win32": + return os.path.realpath(os.path.join(venv_path, "Scripts", "python.exe")) + else: + return os.path.realpath(os.path.join(venv_path, "bin", "python")) + + +def _get_venv_lockfile_path( + venv_path: os.PathLike[Any] | str, +) -> os.PathLike[Any] | str: + """Get the path to the lockfile of the virtual environment.""" + return os.path.join( + os.path.dirname(venv_path), f".{os.path.basename(venv_path)}.lockfile" + ) + + +def _bootstrap_venv( + venv_path: os.PathLike[Any], + pip_dependencies: list[str], + logger: logging.Logger, + verbose: bool = False, +): + lockfile_path = _get_venv_lockfile_path(venv_path) + logger.info(f"Waiting to acquire lock on {lockfile_path}...") + # Acquire a lock on the virtual environment to ensure no other process is using it + with portalocker.Lock( + lockfile_path, mode="ab", fail_when_locked=False, flags=portalocker.LOCK_EX + ): + logger.info(f"Acquired lock on {lockfile_path}...") + # Check if the virtual environment is complete, i.e. it contains a .venv_is_complete file + venv_is_complete_path = os.path.realpath( + os.path.join(venv_path, ".venv_is_complete") + ) + # Look for the .venv_is_complete file. If it does not exist, wipe and re-create the venv + # The .venv_is_complete file is created at the end of a successful pip install process + if not os.path.exists(venv_is_complete_path): + logger.warning( + f"For some reason, the virtual environment at {venv_path} was found to be incomplete. Deleting the virtual environment and creating a new one..." + ) + shutil.rmtree(venv_path, ignore_errors=True) + logger.info(f"Creating new virtual environment at {venv_path}...") + venv.create(venv_path, with_pip=True) + # At this point, the venv should be created and + # _get_venv_executable_path should return a valid path (with symlinks resolved) + venv_executable = _get_venv_executable_path(venv_path) + command = [venv_executable, "-m", "pip", "install"] + if not verbose: + command += ["-q", "-q"] + command += list(pip_dependencies) + with ExitStack() as stack: + logpipe_stderr = stack.enter_context( + LogPipe( + logger, + log_level=logging.ERROR, + mode=LogPipeMode.SUBPROCESS, + buffer_logs=True, + ) + ) + logpipe_stdout = stack.enter_context( + LogPipe( + logger, + log_level=logging.INFO, + mode=LogPipeMode.SUBPROCESS, + buffer_logs=True, + ) + ) + proc = subprocess.Popen( + command, + stdout=logpipe_stdout.get_pipe_writer(), + stderr=logpipe_stderr.get_pipe_writer(), + ) + # Poll the process until it finishes, while occasionally checking if there was a failure + # in the global cancel event + while proc.poll() is None: + if PipInstallThread._cancel_all_threads.is_set(): + proc.terminate() + logger.error( + f"Another thread has failed its pip install step, terminating pip install process for {venv_path}..." + ) + break + sleep(0.1) + + # The process was terminated due to the _cancel_all_threads event + if proc.returncode is None: + return + + if proc.returncode != 0: + # First wipe the .venv_is_complete file to mark the directory as invalid + # in case the deletion of the entire directory fails. + if os.path.exists(venv_is_complete_path): + os.remove(venv_is_complete_path) + # Then delete the entire directory. + shutil.rmtree(venv_path, ignore_errors=True) + bullet_points_list = "\n - ".join([""] + pip_dependencies) + logger.error( + f"Failed to install pip dependencies into virtual environment from " + f"the provided list: {bullet_points_list}\n. " + f"The virtual environment under {venv_path} has been deleted." + ) + raise subprocess.CalledProcessError( + proc.returncode, + command, + output=logpipe_stdout.log_buffer.getvalue().encode("utf-8"), + stderr=logpipe_stdout.log_buffer.getvalue().encode("utf-8"), + ) + + # Create a file to mark the virtual environment as complete + with open(venv_is_complete_path, "w") as f: + f.write("") + + +class PipInstallThread(threading.Thread): + _bounded_semaphore = threading.BoundedSemaphore(1) + _cancel_all_threads = threading.Event() + _threads = dict() + _exceptions = dict() + + def __init__( + self, + group: None = None, + target: Callable[..., object] | None = None, + name: str | None = None, + args: Iterable[Any] = ..., + kwargs: Mapping[str, Any] | None = None, + ) -> None: + super().__init__(group, target, name, args, kwargs, daemon=False) + self.target = target + self.args = args or tuple() + self.kwargs = kwargs or {} + PipInstallThread._threads.update({self.name: self}) + PipInstallThread._exceptions.update({self.name: None}) + + def run(self): + with PipInstallThread._bounded_semaphore: + # Just exit if all was cancelled + if PipInstallThread._cancel_all_threads.is_set(): + return + try: + self.target(*self.args, **self.kwargs) + except Exception as e: + PipInstallThread._exceptions.update({self.name: e}) + raise e + + @staticmethod + def terminate_all(): + PipInstallThread._cancel_all_threads.set() + while all([thread.is_alive() for thread in PipInstallThread._threads.values()]): + sleep(0.1) + + +class PickleableFunctionWithPipeIO: + """A wrapper for a function that can be pickled and executed in a child process.""" + + def __init__( + self, + func: Callable, + child_conn: multiprocessing.connection.Connection, + venv_executable: str, + ): + self._func_serialized = cloudpickle.dumps(func) + func_module_path = os.path.dirname(os.path.realpath(inspect.getabsfile(func))) + # Check that the function is in a directory indeed + self._extra_sys_path = ( + [func_module_path] if os.path.isdir(func_module_path) else None + ) + self._child_conn = child_conn + self._venv_executable = venv_executable + + def __call__(self, *args_serialized, **kwargs_serialized): + with swap_sys_path( + venv_executable=self._venv_executable, extra_sys_path=self._extra_sys_path + ): + try: + fn = cloudpickle.loads(self._func_serialized) + args = [cloudpickle.loads(arg) for arg in args_serialized] + kwargs = { + key: cloudpickle.loads(value) + for key, value in kwargs_serialized.items() + } + # Capture logs here too + output = fn(*args, **kwargs) + serialized_result = cloudpickle.dumps(output) + except Exception as e: + # Not all exceptions are expected to be picklable + # so we clone their traceback and send our own custom type of exception + exc = ChildProcessError( + f"Child process failed with an exception of type {type(e)}." + ).with_traceback(e.__traceback__) + serialized_result = cloudpickle.dumps( + (exc, traceback.format_exception(type(e), e, e.__traceback__)) + ) + self._child_conn.send_bytes(serialized_result) + + +def run_in_venv(pip_dependencies: list[str], verbose: bool = True): + """A decorator that allows a function to be executed in a virtual environment. + + Args: + pip_dependencies (list[str]): A list of pip dependencies to install into the virtual environment. + verbose (bool): Whether to print the pip install output. Defaults to False. + + Example usage: + ```python + from flojoy import flojoy, run_in_venv + + @flojoy + @run_in_venv(pip_dependencies=["torch==2.0.1", "torchvision==0.15.2"]) + def TORCH_NODE(default: Matrix) -> Matrix: + import torch + import torchvision + # Do stuff with torch + ... + return Matrix(...) + """ + + def decorator( + func: Callable[..., Any], + *, + pip_dependencies: list[str] = pip_dependencies, + verbose: bool = verbose, + ): + # Return the function as-is if we are not in the main process + # This is due to the fact that the decorator is called twice + # once in the main process and once in the child process + # when unpickling the function + if multiprocessing.current_process().name.startswith("run_in_venv"): + return func + + # Pre-pend flojoy and cloudpickle as mandatory pip dependencies + packages_dict = { + package.name: package.version + for package in importlib.metadata.distributions() + } + pip_dependencies = sorted( + [ + "flojoy", + f"cloudpickle=={packages_dict['cloudpickle']}", + ] + + pip_dependencies + ) + # Get the root directory for the virtual environments + venv_cache_dir = _get_venv_cache_dir() + os.makedirs(venv_cache_dir, exist_ok=True) + venv_cache_dir = os.path.realpath(venv_cache_dir) + # Generate a path-safe hash of the pip dependencies + # this prevents the duplication of virtual environments + pip_dependencies_hash = hashlib.md5( + "".join(sorted(pip_dependencies)).encode() + ).hexdigest()[:8] + venv_path = os.path.join(venv_cache_dir, f"{pip_dependencies_hash}") + logger = logging.getLogger(func.__name__) + if verbose: + logger.setLevel(logging.INFO) + + thread = PipInstallThread( + target=_bootstrap_venv, + args=(venv_path, pip_dependencies, logger, verbose), + ) + thread.start() + + @wraps(func) + def wrapper(*args: Any, **kwargs: dict[str, Any]): + # Wait for the pip install to finish + logger.info( + f"Waiting for pip install to finish for virtual environment of {func.__name__} at {venv_path}..." + ) + thread.join() + venv_executable = _get_venv_executable_path(venv_path) + # Check if the thread threw an exception + if PipInstallThread._exceptions[thread.name] is not None: + # Clean up the other threads (and the processes they spawned) + PipInstallThread.terminate_all() + # Re-raise from the main thread + raise PipInstallThread._exceptions[thread.name] + logger.info( + f"Pip install complete. Spawning process for function {func.__name__}..." + ) + # Generate a new multiprocessing context for the parent process in "spawn" mode + parent_mp_context = multiprocessing.get_context("spawn") + parent_conn, child_conn = parent_mp_context.Pipe() + # Create a new multiprocessing context for the child process in "spawn" mode + # while setting its executable to the virtual environment python executable + child_mp_context = multiprocessing.get_context("spawn") + child_mp_context.set_executable(venv_executable) + with ExitStack() as stack: + log_pipe_stdout = stack.enter_context( + LogPipe( + logger=logger, log_level=logging.INFO, mode=LogPipeMode.MP_SPAWN + ) + ) + log_pipe_stderr = stack.enter_context( + LogPipe( + logger=logger, + log_level=logging.ERROR, + mode=LogPipeMode.MP_SPAWN, + ) + ) + # Serialize function arguments using cloudpickle + pickleable_func_with_pipe = PickleableFunctionWithPipeIO( + func=func, + child_conn=child_conn, + venv_executable=venv_executable, + ) + # Wrap the function with a decorator that redirects stdout and stderr to the log pipes + mp_func = LogPipe.wrap_and_redirect_stream( + pickleable_func_with_pipe, + StreamEnum.STDOUT, + log_pipe_stdout.get_pipe_writer(), + ) + mp_func = LogPipe.wrap_and_redirect_stream( + mp_func, StreamEnum.STDERR, log_pipe_stderr.get_pipe_writer() + ) + # Resolve the function arguments using inspect + # this is needed to avoid pickling issues + kwargs_serialized = { + key: cloudpickle.dumps(value) + for key, value in inspect.getcallargs(func, *args, **kwargs).items() + } + # Create a new process that will run the Python code + # Append a name and a random suffix + process = child_mp_context.Process( + name=f"run_in_venv_{os.urandom(4).hex()}", + target=mp_func, + kwargs=kwargs_serialized, + ) + # Start the process + process.start() + # Fetch result from the child process + serialized_result = parent_conn.recv_bytes() + # Wait for the process to finish + process.join() + # Check if the process sent an exception with a traceback + result = cloudpickle.loads(serialized_result) + if isinstance(result, tuple) and isinstance(result[0], Exception): + # Fetch exception and formatted traceback (list[str]) + exception, tcb = result + # Reraise an exception with the same class + logger.error( + f"Error in child process with the following traceback:\n{''.join(tcb)}" + ) + raise exception + return result + + return wrapper + + return decorator diff --git a/pkgs/flojoy/flojoy/flojoy_python.py b/pkgs/flojoy/flojoy/flojoy_python.py new file mode 100644 index 000000000..2c3c5c0a7 --- /dev/null +++ b/pkgs/flojoy/flojoy/flojoy_python.py @@ -0,0 +1,278 @@ +import inspect +import os +import traceback +from contextlib import ContextDecorator +from functools import wraps +from inspect import signature +from typing import Any, Callable, Optional + +from .config import logger +from .connection_manager import DeviceConnectionManager +from .data_container import DataContainer, Stateful +from .job_result_utils import get_dc_from_result, get_frontend_res_obj_from_result +from .job_service import JobService +from .models.JobResults.JobFailure import JobFailure +from .models.JobResults.JobSuccess import JobSuccess +from .node_init import NodeInitService +from .parameter_types import format_param_value +from .utils import get_hf_hub_cache_path + +__all__ = ["flojoy", "DefaultParams", "display"] + + +def fetch_inputs(previous_jobs: list[dict[str, str]]): + """ + Queries for job results + + Parameters + ---------- + previous_jobs : list of jobs that directly precede this node. + Each item representing a job contains `job_id` and `input_name`. + `input_name` is the port where the previous job with `job_id` connects to. + + Returns + ------- + inputs : list of DataContainer objects + """ + dict_inputs: dict[str, DataContainer | list[DataContainer]] = dict() + + try: + for prev_job in previous_jobs: + prev_job_id = prev_job.get("job_id") + input_name = prev_job.get("input_name", "") + multiple = prev_job.get("multiple", False) + edge = prev_job.get("edge", "") + + logger.debug( + f"fetching input from prev job id: {prev_job_id}" + + f"for input: {input_name} edge: {edge}" + ) + + job_result = JobService().get_job_result(prev_job_id) + if not job_result: + raise ValueError( + f"Tried to get job result from {prev_job_id} but it was None" + ) + + result = ( + get_dc_from_result(job_result[edge]) + if edge != "default" + else get_dc_from_result(job_result) + ) + if result is not None: + logger.debug(f"got job result from {prev_job_id}") + if multiple: + if input_name not in dict_inputs: + dict_inputs[input_name] = [result] + else: + dict_inputs[input_name].append(result) + else: + dict_inputs[input_name] = result + + except Exception as e: + logger.debug(f"{e} {traceback.format_exc()}") + + return dict_inputs + + +class DefaultParams: + def __init__( + self, node_id: str, job_id: str, jobset_id: str, node_type: str + ) -> None: + self.node_id = node_id + self.job_id = job_id + self.jobset_id = jobset_id + self.node_type = node_type + + +class cache_huggingface_to_flojoy(ContextDecorator): + """Context manager to override the HF_HOME env var""" + + def __enter__(self): + self.old_env_var = os.environ.get("HF_HOME") + os.environ["HF_HOME"] = get_hf_hub_cache_path() + return self + + def __exit__(self, *exc): + if self.old_env_var is None: + del os.environ["HF_HOME"] + else: + os.environ["HF_HOME"] = self.old_env_var + return False + + +def display( + original_function: Callable[..., DataContainer | dict[str, Any]] | None = None +): + return original_function + + +def flojoy( + original_function: Callable[..., Optional[DataContainer | dict[str, Any]]] + | None = None, + *, + node_type: Optional[str] = None, + deps: Optional[dict[str, str]] = None, + inject_node_metadata: bool = False, + inject_connection: bool = False, +): + """ + Decorator to turn Python functions with numerical return + values into Flojoy nodes. + + @flojoy is intended to eliminate boilerplate in connecting + Python scripts as visual nodes + + Into whatever function it wraps, @flojoy injects + 1. the last node's input as list of DataContainer object + 2. parameters for that function (either set by the user or default) + + Parameters + ---------- + `func`: Python function that returns DataContainer object + + Returns + ------- + A dict containing DataContainer object + + Usage Example + ------------- + ``` + @flojoy + def SINE(dc_inputs:list[DataContainer], params:dict[str, Any]): + + logger.debug('params passed to SINE', params) + + dc_input = dc_inputs[0] + + output = DataContainer( + x=dc_input.x, + y=np.sin(dc_input.x) + ) + return output + ``` + + ## equivalent to: decorated_sine = flojoy(SINE) + ``` + pj_ids = [123, 456] + logger.debug(SINE(previous_job_ids = pj_ids, mock = True)) + ``` + """ + + def decorator(func: Callable[..., Optional[DataContainer | dict[str, Any]]]): + # Wrap func here to override the HF_HOME env var + func = cache_huggingface_to_flojoy()(func) + + @wraps(func) + def wrapper( + node_id: str, + job_id: str, + jobset_id: str, + previous_jobs: list[dict[str, str]] = [], + ctrls: dict[str, Any] | None = None, + ): + try: + logger.debug(f"previous jobs: {previous_jobs}") + # Get command parameters set by the user through the control panel + func_params: dict[str, Any] = {} + if ctrls is not None: + for _, input in ctrls.items(): + param = input["param"] + value = input["value"] + func_params[param] = format_param_value(value, input["type"]) + func_params["type"] = "default" + + logger.debug( + f"executing node_id: {node_id} previous_jobs: {previous_jobs}" + ) + dict_inputs = fetch_inputs(previous_jobs) + + # constructing the inputs + logger.debug(f"constructing inputs for {func.__name__}") + args: dict[str, Any] = {} + sig = signature(func) + + args = {**args, **dict_inputs} + + for param, value in func_params.items(): + if param in sig.parameters: + args[param] = value + + if inject_node_metadata: + args["default_params"] = DefaultParams( + job_id=job_id, + node_id=node_id, + jobset_id=jobset_id, + node_type="default", + ) + + logger.debug(f"{node_id} params: {args.keys()}") + + # check if node has an init container and if so, inject it + if NodeInitService().has_init_store(node_id): + args["init_container"] = NodeInitService().get_init_store(node_id) + + if inject_connection: + logger.debug("injecting connection") + device = args["connection"] + logger.debug(f"device handle: {device}") + _id = device.get_id() + connection = DeviceConnectionManager.get_connection(_id) + args["connection"] = connection + + # This fixes when people forget to add `= None` in + # default: Optional[DataContainer] = None + if ( + "default" not in args + and "default" in inspect.signature(func).parameters.keys() + ): + args["default"] = None + + ########################## + # calling the node function + ########################## + dc_obj = func(**args) # DataContainer object from node + ########################## + # end calling the node function + ########################## + + # some special nodes like LOOP return dict instead of `DataContainer` + if isinstance(dc_obj, DataContainer) and not isinstance( + dc_obj, Stateful + ): + dc_obj.validate() # Validate returned DataContainer object + elif dc_obj is not None: + for value in dc_obj.values(): + if isinstance(value, DataContainer): + value.validate() + + # post result to the job service so we can get it later if needed + JobService().post_job_result(job_id, dc_obj) + + # Package the result and return it + FN = func.__name__ + result = get_frontend_res_obj_from_result(dc_obj) + return JobSuccess( + result=result, + fn=FN, + node_id=node_id, + jobset_id=jobset_id, + ) + + except Exception as e: + logger.error(str(e)) + logger.error("error occurred while running the node") + logger.debug(traceback.format_exc()) + return JobFailure( + func_name=func.__name__, + node_id=node_id, + error=str(e), + jobset_id=jobset_id, + ) + + return wrapper + + if original_function: + return decorator(original_function) + + return decorator diff --git a/pkgs/flojoy/flojoy/instruments/__init__.py b/pkgs/flojoy/flojoy/instruments/__init__.py new file mode 100644 index 000000000..ec819c0f4 --- /dev/null +++ b/pkgs/flojoy/flojoy/instruments/__init__.py @@ -0,0 +1 @@ +from .tektronix import * diff --git a/pkgs/flojoy/flojoy/instruments/tektronix/MDO30xx.py b/pkgs/flojoy/flojoy/instruments/tektronix/MDO30xx.py new file mode 100644 index 000000000..84a1ba257 --- /dev/null +++ b/pkgs/flojoy/flojoy/instruments/tektronix/MDO30xx.py @@ -0,0 +1,859 @@ +""" +Driver for the MDO4000B, MDO4000, MSO4000B, DPO4000B and +MDO3000 series Oscilloscopes. +""" +import textwrap +import time +from functools import partial +from typing import Any, Callable, Union, cast + +import numpy as np + +from qcodes.instrument import ( + ChannelList, + Instrument, + InstrumentChannel, + VisaInstrument, +) +from qcodes.parameters import ( + Parameter, + ParameterWithSetpoints, + create_on_off_val_mapping, +) +from qcodes.validators import Arrays, Enum + + +def strip_quotes(string: str) -> str: + """ + This function is used as a get_parser for various + parameters in this driver + """ + return string.strip('"') + + +class TektronixMSOModeError(Exception): + """ + Raise this exception if we are in a wrong mode to + perform an action + """ + + pass + + +ModeError = TektronixMSOModeError +""" +Alias for backwards compatibility +""" + + +class TektronixMDO30xx(VisaInstrument): + """ + Driver for the MDO4000B, MDO4000, MSO4000B, DPO4000B and + MDO3000 series Oscilloscopes. + """ + + number_of_channels = 4 + number_of_measurements = 5 # The number of available + # measurements does not change. + + def __init__( + self, name: str, address: str, number_of_channels: int = 4, **kwargs: Any + ) -> None: + super().__init__(name, address, terminator="\n", **kwargs) + + self.add_submodule("horizontal", TektronixMSOHorizontal(self, "horizontal")) + + self.add_submodule("data", TektronixMSOData(self, "data")) + + self.add_submodule("waveform", TektronixMSOWaveformFormat(self, "waveform")) + + measurement_list = ChannelList(self, "measurement", TektronixMSOMeasurement) + for measurement_number in range(1, self.number_of_measurements): + measurement_name = f"measurement{measurement_number}" + measurement_module = TektronixMSOMeasurement( + self, measurement_name, measurement_number + ) + + self.add_submodule(measurement_name, measurement_module) + measurement_list.append(measurement_module) + + self.add_submodule("measurement", measurement_list) + self.add_submodule( + "statistics", TektronixMSOMeasurementStatistics(self, "statistics") + ) + + channel_list = ChannelList(self, "channel", TektronixMSOChannel) + for channel_number in range(1, number_of_channels + 1): + channel_name = f"channel{channel_number}" + channel_module = TektronixMSOChannel( + self, + channel_name, + channel_number, + ) + + self.add_submodule(channel_name, channel_module) + channel_list.append(channel_module) + + self.add_submodule("channel", channel_list) + + self.add_submodule("trigger", TekronixMSOTrigger(self, "trigger")) + + self.add_submodule( + "delayed_trigger", + TekronixMSOTrigger(self, "delayed_trigger", delayed_trigger=True), + ) + + self.connect_message() + + def ask_raw(self, cmd: str) -> str: + """ + Sometimes the instrument returns non-ascii characters in response + strings manually adjust the encoding to latin-1 + """ + self.visa_log.debug(f"Querying: {cmd}") + self.visa_handle.write(cmd) + response = self.visa_handle.read(encoding="latin-1") + self.visa_log.debug(f"Response: {response}") + return response + + +class TektronixMSOData(InstrumentChannel): + """ + This submodule sets and retrieves information regarding the + data source for the "CURVE?" query, which is used when + retrieving waveform data. + """ + + def __init__(self, parent: Union[Instrument, InstrumentChannel], name: str) -> None: + super().__init__(parent, name) + # We can choose to retrieve data from arbitrary + # start and stop indices of the buffer. + self.add_parameter( + "start_index", + get_cmd="DATa:STARt?", + set_cmd="DATa:STARt {}", + get_parser=int, + ) + + self.add_parameter( + "stop_index", get_cmd="DATa:STOP?", set_cmd="DATa:STOP {}", get_parser=int + ) + + self.add_parameter( + "source", + get_cmd="DATa:SOU?", + set_cmd="DATa:SOU {}", + vals=Enum(*TekronixMSOWaveform.valid_identifiers), + ) + + self.add_parameter( + "encoding", + get_cmd="DATa:ENCdg?", + set_cmd="DATa:ENCdg {}", + get_parser=strip_quotes, + vals=Enum( + "ASCIi", + "FAStest", + "RIBinary", + "RPBinary", + "FPBinary", + "SRIbinary", + "SRPbinary", + "SFPbinary", + ), + docstring=textwrap.dedent( + """ + For a detailed explanation of the + set arguments, please consult the + programmers manual at page 263/264. + + http://download.tek.com/manual/077001022.pdf + """ + ), + ) + + +class TekronixMSOWaveform(InstrumentChannel): + """ + This submodule retrieves data from waveform sources, e.g. + channels. + """ + + valid_identifiers = [ + f"{source_type}{i}" + for source_type in ["CH", "MATH", "REF"] + for i in range(1, TektronixMDO30xx.number_of_channels + 1) + ] + + def __init__( + self, + parent: Union[Instrument, InstrumentChannel], + name: str, + identifier: str, + ) -> None: + super().__init__(parent, name) + + if identifier not in self.valid_identifiers: + raise ValueError( + f"Identifier {identifier} must be one of " f"{self.valid_identifiers}" + ) + + self._identifier = identifier + + self.add_parameter( + "raw_data_offset", + get_cmd=self._get_cmd("WFMOutPRE:YOFF?"), + get_parser=float, + docstring=textwrap.dedent( + """ + Raw acquisition values range from min to max. + For instance, for unsigned binary values of one + byte, min=0 and max=255. The data offset specifies + the center of this range + """ + ), + ) + + self.add_parameter( + "x_unit", get_cmd=self._get_cmd("WFMOutpre:XUNit?"), get_parser=strip_quotes + ) + + self.add_parameter( + "x_increment", + get_cmd=self._get_cmd("WFMOutPRE:XINCR?"), + unit=self.x_unit(), + get_parser=float, + ) + + self.add_parameter( + "y_unit", get_cmd=self._get_cmd("WFMOutpre:YUNit?"), get_parser=strip_quotes + ) + + self.add_parameter( + "offset", + get_cmd=self._get_cmd("WFMOutPRE:YZERO?"), + get_parser=float, + unit=self.y_unit(), + ) + + self.add_parameter( + "scale", + get_cmd=self._get_cmd("WFMOutPRE:YMULT?"), + get_parser=float, + unit=self.y_unit(), + ) + + self.add_parameter( + "length", get_cmd=self._get_cmd("WFMOutpre:NR_Pt?"), get_parser=int + ) + + hor_unit = self.x_unit() + hor_label = "Time" if hor_unit == "s" else "Frequency" + + self.add_parameter( + "trace_axis", + label=hor_label, + get_cmd=self._get_trace_setpoints, + vals=Arrays(shape=(self.length,)), + unit=hor_unit, + ) + + ver_unit = self.y_unit() + ver_label = "Voltage" if ver_unit == "s" else "Amplitude" + + self.add_parameter( + "trace", + label=ver_label, + get_cmd=self._get_trace_data, + vals=Arrays(shape=(self.length,)), + unit=ver_unit, + setpoints=(self.trace_axis,), + parameter_class=ParameterWithSetpoints, + ) + + def _get_cmd(self, cmd_string: str) -> Callable[[], str]: + """ + Parameters defined in this submodule require the correct + data source being selected first. + """ + + def inner() -> str: + self.root_instrument.data.source(self._identifier) + return self.ask(cmd_string) + + return inner + + def _get_trace_data(self) -> np.ndarray: + self.root_instrument.data.source(self._identifier) + waveform = self.root_instrument.waveform + + if not waveform.is_binary(): + raw_data = self.root_instrument.visa_handle.query_ascii_values( + "CURVE?", container=np.array + ) + else: + bytes_per_sample = waveform.bytes_per_sample() + data_type = {1: "b", 2: "h", 4: "f", 8: "d"}[bytes_per_sample] + + if waveform.data_format() == "unsigned_integer": + data_type = data_type.upper() + + is_big_endian = waveform.is_big_endian() + + raw_data = self.root_instrument.visa_handle.query_binary_values( + "CURVE?", + datatype=data_type, + is_big_endian=is_big_endian, + container=np.array, + ) + + return (raw_data - self.raw_data_offset()) * self.scale() + self.offset() + + def _get_trace_setpoints(self) -> np.ndarray: + """ + Infer the set points of the waveform + """ + sample_count = self.length() + x_increment = self.x_increment() + return np.linspace(0, x_increment * sample_count, sample_count) + + +class TektronixMSOWaveformFormat(InstrumentChannel): + """ + With this sub module we can query waveform + formatting data. Please note that parameters + defined in this submodule effects all + waveform sources, whereas parameters defined in the + submodule 'TekronixMSOWaveform' apply to + specific waveform sources (e.g. channel1 or math2) + """ + + def __init__(self, parent: Union[Instrument, InstrumentChannel], name: str) -> None: + super().__init__(parent, name) + + self.add_parameter( + "data_format", + get_cmd="WFMOutpre:BN_Fmt?", + set_cmd="WFMOutpre:BN_Fmt {}", + val_mapping={ + "signed_integer": "RI", + "unsigned_integer": "RP", + "floating_point": "FP", + }, + ) + + self.add_parameter( + "is_big_endian", + get_cmd="WFMOutpre:BYT_Or?", + set_cmd="WFMOutpre:BYT_Or {}", + val_mapping={False: "LSB", True: "MSB"}, + ) + + self.add_parameter( + "bytes_per_sample", + get_cmd="WFMOutpre:BYT_Nr?", + set_cmd="WFMOutpre:BYT_Nr {}", + get_parser=int, + vals=Enum(1, 2, 4, 8), + ) + + self.add_parameter( + "is_binary", + get_cmd="WFMOutpre:ENCdg?", + set_cmd="WFMOutpre:ENCdg {}", + val_mapping={True: "BINARY", False: "ASCII"}, + ) + + +class TektronixMSOChannel(InstrumentChannel): + """ + The main channel module for the oscilloscope. The parameters + defined here reflect the waveforms as they are displayed on + the instrument display. + """ + + def __init__( + self, + parent: Union[Instrument, InstrumentChannel], + name: str, + channel_number: int, + ) -> None: + super().__init__(parent, name) + self._identifier = f"CH{channel_number}" + + self.add_submodule( + "waveform", TekronixMSOWaveform(self, "waveform", self._identifier) + ) + + self.add_parameter( + "scale", + get_cmd=f"{self._identifier}:SCA?", + set_cmd=f"{self._identifier}:SCA {{}}", + get_parser=float, + unit="V/div", + ) + + self.add_parameter( + "offset", + get_cmd=f"{self._identifier}:OFFS?", + set_cmd=f"{self._identifier}:OFFS {{}}", + get_parser=float, + unit="V", + ) + + self.add_parameter( + "position", + get_cmd=f"{self._identifier}:POS?", + set_cmd=f"{self._identifier}:POS {{}}", + get_parser=float, + unit="V", + ) + + self.add_parameter( + "termination", + get_cmd=f"{self._identifier}:TER?", + set_cmd=f"{self._identifier}:TER {{}}", + vals=Enum(50, 1e6), + get_parser=float, + unit="Ohm", + ) + + def set_trace_length(self, value: int) -> None: + """ + Set the trace length when retrieving data + through the 'waveform' interface + + Args: + value: The requested number of samples in the trace + """ + if self.root_instrument.horizontal.record_length() < value: + raise ValueError( + "Cannot set a trace length which is larger than " + "the record length. Please switch to manual mode " + "and adjust the record length first" + ) + + self.root_instrument.data.start_index(1) + self.root_instrument.data.stop_index(value) + + def set_trace_time(self, value: float) -> None: + """ + Args: + value: The time over which a trace is desired. + """ + sample_rate = self.root_instrument.horizontal.sample_rate() + required_sample_count = int(sample_rate * value) + self.set_trace_length(required_sample_count) + + +class TektronixMSOHorizontal(InstrumentChannel): + """ + This module controls the horizontal axis of the scope + """ + + def __init__(self, parent: Union[Instrument, InstrumentChannel], name: str) -> None: + super().__init__(parent, name) + + self.add_parameter( + "mode", + get_cmd="HORizontal:MODE?", + set_cmd="HORizontal:MODE {}", + vals=Enum("auto", "constant", "manual"), + get_parser=str.lower, + docstring=""" + Auto mode attempts to keep record length + constant as you change the time per division + setting. Record length is read only. + + Constant mode attempts to keep sample rate + constant as you change the time per division + setting. Record length is read only. + + Manual mode lets you change sample mode and + record length. Time per division or Horizontal + scale is read only. + """, + ) + + self.add_parameter( + "unit", get_cmd="HORizontal:MAIn:UNIts?", get_parser=strip_quotes + ) + + self.add_parameter( + "record_length", + get_cmd="HORizontal:RECOrdlength?", + set_cmd=self._set_record_length, + get_parser=float, + ) + + self.add_parameter( + "sample_rate", + get_cmd="HORizontal:SAMPLERate?", + set_cmd="HORizontal:SAMPLERate {}", + get_parser=float, + unit=f"sample/{self.unit()}", + ) + + self.add_parameter( + "scale", + get_cmd="HORizontal:MODE:SCAle?", + set_cmd=self._set_scale, + get_parser=float, + unit=f"{self.unit()}/div", + ) + + self.add_parameter( + "position", + get_cmd="HORizontal:POSition?", + set_cmd="HORizontal:POSition {}", + get_parser=float, + unit="%", + docstring=textwrap.dedent( + """ + The horizontal position relative to a + received trigger. E.g. a value of '10' + sets the trigger position of the waveform + such that 10% of the display is to the + left of the trigger position. + """ + ), + ) + + self.add_parameter( + "roll", + get_cmd="HORizontal:ROLL?", + set_cmd="HORizontal:ROLL {}", + vals=Enum("Auto", "On", "Off"), + docstring=textwrap.dedent( + """ + Use Roll Mode when you want to view data at + very slow sweep speeds. + """ + ), + ) + + def _set_record_length(self, value: int) -> None: + if self.mode() != "manual": + raise TektronixMSOModeError( + "The record length can only be changed in manual mode" + ) + + self.write(f"HORizontal:MODE:RECOrdlength {value}") + + def _set_scale(self, value: float) -> None: + if self.mode() == "manual": + raise TektronixMSOModeError("The scale cannot be changed in manual mode") + + self.write(f"HORizontal:MODE:SCAle {value}") + + +class TekronixMSOTrigger(InstrumentChannel): + """ + Submodule for trigger setup. + + You can trigger with the A (Main) trigger system alone + or combine the A (Main) trigger with the B (Delayed) trigger + to trigger on sequential events. When using sequential + triggering, the A trigger event arms the trigger system, and + the B trigger event triggers the instrument when the B + trigger conditions are met. + + A and B triggers can (and typically do) have separate sources. + The B trigger condition is based on a time delay or a specified + number of events. + + See page75, Using A (Main) and B (Delayed) triggers. + https://download.tek.com/manual/MSO70000C-DX-MSO70000C-DX-MSO-MSO7000C-MSO-MSO5000B-Oscilloscope-Quick-Start-User-Manual-071298006.pdf + """ + + def __init__(self, parent: Instrument, name: str, delayed_trigger: bool = False): + super().__init__(parent, name) + self._identifier = "B" if delayed_trigger else "A" + self.channel = 1 + + trigger_types = ["edge", "logic", "pulse"] + if self._identifier == "A": + trigger_types.extend( + ["video", "i2c", "can", "spi", "communication", "serial", "rs232"] + ) + + self.add_parameter( + "type", + get_cmd=f"TRIGger:{self._identifier}:TYPE?", + set_cmd=self._trigger_type, + vals=Enum(*trigger_types), + get_parser=str.lower, + ) + + self.add_parameter( + "level", + get_cmd=f"TRIGger:{self._identifier}:LEVel:{self._trigger_channel()}?", + set_cmd=f"TRIGger:{self._identifier}:LEVel:{self._trigger_channel()} {{}}", + get_parser=float, + ) + + edge_couplings = ["ac", "dc", "hfrej", "lfrej", "noiserej"] + if self._identifier == "B": + edge_couplings.append("atrigger") + + self.add_parameter( + "edge_coupling", + get_cmd=f"TRIGger:{self._identifier}:EDGE:COUPling?", + set_cmd=f"TRIGger:{self._identifier}:EDGE:COUPling {{}}", + vals=Enum(*edge_couplings), + get_parser=str.lower, + ) + + self.add_parameter( + "edge_slope", + get_cmd=f"TRIGger:{self._identifier}:EDGE:SLOpe?", + set_cmd=f"TRIGger:{self._identifier}:EDGE:SLOpe {{}}", + vals=Enum("rise", "fall", "either"), + get_parser=str.lower, + ) + + trigger_sources = [ + f"CH{i}" for i in range(1, TektronixMDO30xx.number_of_channels) + ] + + trigger_sources.extend([f"D{i}" for i in range(0, 16)]) + + if self._identifier == "A": + trigger_sources.append("line") + + self.add_parameter( + "source", + get_cmd=f"TRIGger:{self._identifier}:EDGE:SOUrce?", + set_cmd=f"TRIGger:{self._identifier}:EDGE:SOUrce {{}}", + vals=Enum(*trigger_sources), + ) + + def _trigger_type(self, value: str) -> None: + if value != "edge": + raise NotImplementedError( + "We currently only support the 'edge' trigger type" + ) + self.write(f"TRIGger:{self._identifier}:TYPE {value}") + + def _trigger_channel(self) -> str: + return self.ask(f"TRIGger:{self._identifier}:EDGE:SOUrce?") + + +class TektronixMSOMeasurementParameter(Parameter): + """ + A measurement parameter does not only return the instantaneous value + of a measurement, but can also return some statistics. The accumulation + time over which these statistics are gathered can be controlled through + the 'time_constant' parameter on the submodule + 'TektronixMSOMeasurementStatistics'. Here we also find the method 'reset' + to reset the values over which the statistics are gathered. + """ + + # pylint: disable=method-hidden + def _get(self, metric: str) -> float: + measurement_channel = cast(TektronixMSOMeasurement, self.instrument) + if measurement_channel.type.get_latest() != self.name: + measurement_channel.type(self.name) + + measurement_channel.state(1) + measurement_channel.wait_adjustment_time() + measurement_number = measurement_channel.measurement_number + + str_value = measurement_channel.ask( + f"MEASUrement:MEAS{measurement_number}:{metric}?" + ) + + return float(str_value) + + def mean(self) -> float: + return self._get("MEAN") + + def max(self) -> float: + return self._get("MAX") + + def min(self) -> float: + return self._get("MINI") + + def stdev(self) -> float: + return self._get("STDdev") + + def get_raw(self) -> float: + return self._get("VALue") + + def set_raw(self, value: Any) -> None: + raise ValueError("A measurement cannot be set") + + +class TektronixMSOMeasurement(InstrumentChannel): + """ + The measurement submodule + """ + + # It was found by trial and error that adjusting + # the measurement type and source takes some time + # to reflect properly on the value of the + # measurement. Wait a minimum of ... + _minimum_adjustment_time = 0.5 + # seconds after setting measurement type/source before + # calling the measurement value SCPI command. + + measurements = [ + ("amplitude", "V"), + ("area", "Vs"), + ("burst", "s"), + ("carea", "Vs"), + ("cmean", "V"), + ("crms", "V"), + ("delay", "s"), + ("distduty", "%"), + ("extinctdb", "dB"), + ("extinctpct", "%"), + ("extinctratio", ""), + ("eyeheight", "V"), + ("eyewidth", "s"), + ("fall", "s"), + ("frequency", "Hz"), + ("high", "V"), + ("hits", "hits"), + ("low", "V"), + ("maximum", "V"), + ("mean", "V"), + ("median", "V"), + ("minimum", "V"), + ("ncross", "s"), + ("nduty", "%"), + ("novershoot", "%"), + ("nwidth", "s"), + ("pbase", "V"), + ("pcross", "s"), + ("pctcross", "%"), + ("pduty", "%"), + ("peakhits", "hits"), + ("period", "s"), + ("phase", "°"), + ("pk2pk", "V"), + ("pkpkjitter", "s"), + ("pkpknoise", "V"), + ("povershoot", "%"), + ("ptop", "V"), + ("pwidth", "s"), + ("qfactor", ""), + ("rise", "s"), + ("rms", "V"), + ("rmsjitter", "s"), + ("rmsnoise", "V"), + ("sigma1", "%"), + ("sigma2", "%"), + ("sigma3", "%"), + ("sixsigmajit", "s"), + ("snratio", ""), + ("stddev", "V"), + ("undefined", ""), + ("waveforms", "wfms"), + ] + + def __init__(self, parent: Instrument, name: str, measurement_number: int) -> None: + super().__init__(parent, name) + self._measurement_number = measurement_number + self._adjustment_time = time.perf_counter() + + self.add_parameter( + "state", + get_cmd=f"MEASUrement:MEAS{self._measurement_number}:STATe?", + set_cmd=f"MEASUrement:MEAS{self._measurement_number}:STATe {{}}", + val_mapping=create_on_off_val_mapping(on_val="1", off_val="0"), + ) + + self.add_parameter( + "type", + get_cmd=f"MEASUrement:MEAS{self._measurement_number}:TYPe?", + set_cmd=self._set_measurement_type, + get_parser=str.lower, + vals=Enum(*(m[0] for m in self.measurements)), + docstring=textwrap.dedent( + "Please see page 566-569 of the programmers manual " + "for a detailed description of these arguments. " + "http://download.tek.com/manual/077001022.pdf" + ), + ) + + for measurement, unit in self.measurements: + self.add_parameter( + name=measurement, + unit=unit, + parameter_class=TektronixMSOMeasurementParameter, + ) + + for src in [1, 2]: + self.add_parameter( + f"source{src}", + get_cmd=f"MEASUrement:MEAS{self._measurement_number}:SOUrce" f"{src}?", + set_cmd=partial(self._set_source, src), + vals=Enum(*(TekronixMSOWaveform.valid_identifiers + ["HISTogram"])), + ) + + @property + def measurement_number(self) -> int: + return self._measurement_number + + def _set_measurement_type(self, value: str) -> None: + self._adjustment_time = time.perf_counter() + self.write(f"MEASUrement:MEAS{self._measurement_number}:TYPe {value}") + + def _set_source(self, source_number: int, value: str) -> None: + self._adjustment_time = time.perf_counter() + self.write( + f"MEASUrement:MEAS{self._measurement_number}:SOUrce{source_number} " + f"{value}" + ) + + def wait_adjustment_time(self) -> None: + """ + Wait until the minimum time after adjusting the measurement source or + type has elapsed + """ + time_since_adjust = time.perf_counter() - self._adjustment_time + if time_since_adjust < self._minimum_adjustment_time: + time_remaining = self._minimum_adjustment_time - time_since_adjust + time.sleep(time_remaining) + + +class TektronixMSOMeasurementStatistics(InstrumentChannel): + def __init__(self, *args: Any, **kwargs: Any): + super().__init__(*args, **kwargs) + + self.add_parameter( + "mode", + get_cmd="MEASUrement:STATIstics:MODe?", + set_cmd="MEASUrement:STATIstics:MODe {}", + vals=Enum("OFF", "ALL", "VALUEMean", "MINMax", "MEANSTDdev"), + docstring=textwrap.dedent( + "This command controls the operation and display of measurement " + "statistics. " + "1. OFF turns off all measurements. This is the default value " + "2. ALL turns on statistics and displays all statistics for " + "each measurement. " + "3. VALUEMean turns on statistics and displays the value and the " + "mean (μ) of each measurement. " + "4. MINMax turns on statistics and displays the min and max of " + "each measurement. " + "5. MEANSTDdev turns on statistics and displays the mean and " + "standard deviation of each measurement." + ), + ) + + self.add_parameter( + "time_constant", + get_cmd="MEASUrement:STATIstics:WEIghting?", + set_cmd="MEASUrement:STATIstics:WEIghting {}", + get_parser=int, + docstring=textwrap.dedent( + "This command sets or queries the time constant for mean and " + "standard deviation statistical accumulations, which is equivalent " + "to selecting Measurement Setup from the Measure menu, clicking " + "the Statistics button and entering the desired Weight n= value." + ), + ) + + def reset(self) -> None: + self.write("MEASUrement:STATIstics:COUNt RESEt") diff --git a/pkgs/flojoy/flojoy/instruments/tektronix/__init__.py b/pkgs/flojoy/flojoy/instruments/tektronix/__init__.py new file mode 100644 index 000000000..22da094dd --- /dev/null +++ b/pkgs/flojoy/flojoy/instruments/tektronix/__init__.py @@ -0,0 +1 @@ +from .MDO30xx import * diff --git a/pkgs/flojoy/flojoy/job_result_builder.py b/pkgs/flojoy/flojoy/job_result_builder.py new file mode 100644 index 000000000..7e2e61ee6 --- /dev/null +++ b/pkgs/flojoy/flojoy/job_result_builder.py @@ -0,0 +1,70 @@ +from .data_container import DataContainer, OrderedPair +import numpy as np +from typing import Union +from .flojoy_instruction import FLOJOY_INSTRUCTION + + +class JobResultBuilder: + instructions: dict[str, Union[str, list[str]]] | None = None + + def __init__(self) -> None: + self.data = None + + def _add_instructions(self, instruction: dict[str, Union[str, list[str]]]): + self.instructions = self.instructions if self.instructions is not None else {} + self.instructions = { + **self.instructions, + **instruction, + } + + def from_inputs(self, inputs: list[DataContainer]): + # if no inputs were provided, construct fake output + if len(inputs) == 0: + self.data = None + else: + self.data = inputs[0] + + return self + + def from_data(self, data: DataContainer): + self.data = data + return self + + def flow_to_nodes(self, nodes: list[str]): + if nodes.__len__() > 0: + self._add_instructions({FLOJOY_INSTRUCTION.FLOW_TO_NODES: nodes}) + return self + + def flow_to_directions(self, directions: list[str]): + if directions.__len__() > 0: + self._add_instructions({FLOJOY_INSTRUCTION.FLOW_TO_DIRECTIONS: directions}) + return self + + def flow_by_flag( + self, flag: bool, true_direction: list[str], false_direction: list[str] + ): + self._add_instructions( + { + FLOJOY_INSTRUCTION.FLOW_TO_DIRECTIONS: true_direction + if flag + else false_direction + } + ) + return self + + def build(self): + result = self.data + if self.instructions: + result = { + # instructions to job scheduler (watch.py) + **self.instructions, + # instruction to fetch_input method in flojoy.py + FLOJOY_INSTRUCTION.RESULT_FIELD: "data", + "data": result, + } + return result + + def get_default_data(self) -> DataContainer: + x = np.arange(0, 1000, 1) # type:ignore + y = np.ones_like(x) + return OrderedPair(x=x, y=y) diff --git a/pkgs/flojoy/flojoy/job_result_utils.py b/pkgs/flojoy/flojoy/job_result_utils.py new file mode 100644 index 000000000..f1a5d9bed --- /dev/null +++ b/pkgs/flojoy/flojoy/job_result_utils.py @@ -0,0 +1,110 @@ +from .flojoy_instruction import FLOJOY_INSTRUCTION +from .plotly_utils import data_container_to_plotly +from .data_container import DataContainer, Plotly, TextBlob, Bytes +from .dao import Dao +from typing import Any, cast, Optional + +__all__ = ["get_job_result", "get_next_directions", "get_next_nodes", "get_job_result"] + + +def is_flow_controled(result: dict[str, Any] | DataContainer): + if ( + FLOJOY_INSTRUCTION.FLOW_TO_DIRECTIONS in result + or FLOJOY_INSTRUCTION.FLOW_TO_NODES in result + ): + return True + return False + + +def get_next_directions(result: dict[str, Any] | None) -> list[str] | None: + direction = None + if result is None: + return direction + if not result.get(FLOJOY_INSTRUCTION.FLOW_TO_DIRECTIONS): + for value in result.values(): + if isinstance(value, dict) and value.get( + FLOJOY_INSTRUCTION.FLOW_TO_DIRECTIONS + ): + direction = cast( + list[str], value[FLOJOY_INSTRUCTION.FLOW_TO_DIRECTIONS] + ) + break + else: + direction = result[FLOJOY_INSTRUCTION.FLOW_TO_DIRECTIONS] + return direction + + +def get_next_nodes(result: dict[str, Any] | None) -> list[str]: + if result is None: + return [] + return cast(list[str], result.get(FLOJOY_INSTRUCTION.FLOW_TO_NODES, [])) + + +def get_dc_from_result( + result: dict[str, Any] | DataContainer | None +) -> DataContainer | None: + if not result: + return None + if isinstance(result, DataContainer): + return result + if result.get(FLOJOY_INSTRUCTION.RESULT_FIELD): + return result[result[FLOJOY_INSTRUCTION.RESULT_FIELD]] + return result["data"] + + +def get_job_result(job_id: str) -> dict[str, Any] | DataContainer | None: + try: + job_result: Any = Dao.get_instance().get_job_result(job_id) + result = get_dc_from_result(cast(dict[str, Any] | DataContainer, job_result)) + return result + except Exception: + return None + + +def get_text_blob_from_dc(dc: DataContainer) -> str | None: + match dc.type: + case "TextBlob": + return dc.text_blob + case "Bytes": + return dc.b.decode("utf-8") + case _: + return None + + +def get_frontend_res_obj_from_result( + result: Optional[dict[str, Any] | DataContainer] +) -> Optional[dict[str, Any]]: + if result is None: + return None + + # Only return a plotly fig if it is a viz node + match result: + case Plotly() | TextBlob() | Bytes(): + plotly_fig = data_container_to_plotly(data=result) + return { + "plotly_fig": plotly_fig, + "text_blob": get_text_blob_from_dc(result), + } + + if isinstance(result, DataContainer): + return None + + if result.get(FLOJOY_INSTRUCTION.RESULT_FIELD): + data = result[result[FLOJOY_INSTRUCTION.RESULT_FIELD]] + if not data: + return result + + plotly_fig = None + text_blob = None + match result: + case Plotly() | TextBlob() | Bytes(): + plotly_fig = data_container_to_plotly(data=result) + text_blob = get_text_blob_from_dc(result) + + return { + **result, + "plotly_fig": plotly_fig, + "text_blob": text_blob, + } + keys = list(result.keys()) + return get_frontend_res_obj_from_result(result[keys[0]]) diff --git a/pkgs/flojoy/flojoy/job_service.py b/pkgs/flojoy/flojoy/job_service.py new file mode 100644 index 000000000..437799a6d --- /dev/null +++ b/pkgs/flojoy/flojoy/job_service.py @@ -0,0 +1,29 @@ +from typing import Any +from .dao import Dao + +""" +Service that allows to manage jobs +""" + + +class JobService: + def __init__(self, maximum_runtime: float = 3000): + self.dao = Dao.get_instance() + + def get_job_result(self, job_id: str | None) -> dict[str, Any] | None: + if job_id is None: + return None + return self.dao.get_job_result(job_id) + + def post_job_result(self, job_id: str, result: Any): + self.dao.post_job_result(job_id, result) + + def job_exists(self, job_id: str) -> bool: + return self.dao.job_exists(job_id) + + def delete_job(self, job_id: str): + self.dao.delete_job(job_id) + + def reset(self): + self.dao.clear_job_results() + self.dao.clear_small_memory() diff --git a/pkgs/flojoy/flojoy/logging.py b/pkgs/flojoy/flojoy/logging.py new file mode 100644 index 000000000..3def9a604 --- /dev/null +++ b/pkgs/flojoy/flojoy/logging.py @@ -0,0 +1,434 @@ +from contextlib import contextmanager +from functools import partial +import io +from typing import Callable, Protocol +from abc import ABC, abstractmethod +from dataclasses import dataclass +from enum import Enum, auto +import logging +import multiprocessing +import multiprocessing.connection +import threading +import os + + +class LogPipeMode(Enum): + """ + An enumeration of the different modes for logging pipes. + + Attributes: + MP_SPAWN: To be used when logging from a subprocess created using the `spawn` start method of the `multiprocessing` module. + SUBPROCESS: To be used when logging from a subprocess created using the `subprocess` module. + """ + + MP_SPAWN = auto() + SUBPROCESS = auto() + + +class StreamEnum(Enum): + """ + An enumeration of the different streams to redirect. + + Attributes: + STDOUT: To be used when redirecting stdout. + STDERR: To be used when redirecting stderr. + """ + + STDOUT = auto() + STDERR = auto() + + +class PipeWriter(Protocol): + """Protocol for a pipe writer""" + + def write(self, data: bytes): + ... + + def fileno(self) -> int: + ... + + def close(self): + ... + + def flush(self): + ... + + +# Abstract Pipe class +class ReadWritePipe(ABC): + """ + Abstract base class for a read-write pipe. + + This class defines the interface for a pipe that can be used for both reading and writing data. + Subclasses must implement the abstract methods defined here to provide the necessary functionality + to be used as a pipe for the LogPipe class. + """ + + @abstractmethod + def read_is_empty(self) -> bool: + """ + Check if the read buffer is empty. + + Returns: + bool: True if the read buffer is empty, False otherwise. + """ + pass + + @abstractmethod + def close_read(self): + """ + Close the read end of the pipe. + """ + pass + + @abstractmethod + def read_is_closed(self) -> bool: + """ + Check if the read end of the pipe is closed. + + Returns: + bool: True if the read end of the pipe is closed, False otherwise. + """ + pass + + @abstractmethod + def read(self) -> bytes: + """ + Read data from the pipe. + + Returns: + bytes: The data read from the pipe. + """ + pass + + @abstractmethod + def close_write(self): + """ + Close the write end of the pipe. + """ + pass + + @abstractmethod + def write_is_closed(self) -> bool: + """ + Check if the write end of the pipe is closed. + + Returns: + bool: True if the write end of the pipe is closed, False otherwise. + """ + pass + + @abstractmethod + def get_writer(self) -> PipeWriter: + """ + Get a PipeWriter object for writing to the pipe. + + Returns: + PipeWriter: A PipeWriter object for writing to the pipe. + """ + pass + + +class FileDescriptorReadWritePipe(ReadWritePipe): + """ + A class that represents a pipe for reading and writing data using standard OS file descriptors. + These pipes can be used to communicate between processes and are created using the os.pipe() function. + + The class is created to fulfill the need for logging from a python subprocess created with the `subprocess` module. + + Attributes: + fd_read (int): The file descriptor for reading data. + fd_write (int): The file descriptor for writing data. + reader (file object): The file object for reading data. + _writer_is_closed (bool): A flag indicating whether the writer has been closed. + """ + + def __init__(self): + super().__init__() + self.fd_read, self.fd_write = os.pipe() + self.reader = os.fdopen(self.fd_read, mode="rb") + self.writer = os.fdopen(self.fd_write, mode="wb") + self._writer_is_closed = False + + def read_is_empty(self) -> bool: + return not self.reader.peek() + + def read_is_closed(self) -> bool: + return self.reader.closed + + def write_is_closed(self) -> bool: + return self._writer_is_closed + + def close_write(self): + os.close(self.fd_write) + self._writer_is_closed = True + + def close_read(self): + self.reader.close() + + def get_writer(self) -> PipeWriter: + if self.write_is_closed(): + raise ValueError( + "Attempted to get writer while the write end of the pipe is closed." + ) + return self.writer + + def read(self) -> bytes: + return self.reader.readline() + + +class MPSpawnReadWritePipe: + """ + A multiprocessing pipe that allows for reading and writing data between processes. + + This class is a subclass of `ReadWritePipe` and uses the `multiprocessing` module to create a + pipe that can be used to communicate between processes. It provides methods for reading and + writing data to the pipe, as well as checking if the pipe is closed or empty. The class is created + to fulfill the need for logging from a python subprocess created with the `multiprocessing` module using the `spawn` start method. + + Attributes: + read_conn (multiprocessing.connection.Connection): The connection used for reading data + from the pipe. + write_conn (multiprocessing.connection.Connection): The connection used for writing data + to the pipe. + _writer_is_closed (bool): A flag indicating whether the writer connection has been closed. + """ + + @dataclass + class _MPWriter: + """ + A helper class used to write data to the pipe. + + This class is used internally by `MPSpawnReadWritePipe` to write data to the pipe. It + implements the `write` and `fileno` methods required by `PipeWriter`. + + Attributes: + write_conn (multiprocessing.connection.Connection): The connection used for writing + data to the pipe. + """ + + write_conn: multiprocessing.connection.Connection + + def write(self, data: bytes): + self.write_conn.send_bytes(data.encode("utf-8")) + + def fileno(self) -> int: + return self.write_conn.fileno() + + def close(self): + self.write_conn.close() + + def flush(self): + pass + + def __init__(self) -> None: + super().__init__() + self.read_conn, self.write_conn = multiprocessing.get_context("spawn").Pipe( + duplex=True + ) + self._writer = MPSpawnReadWritePipe._MPWriter(write_conn=self.write_conn) + self._writer_is_closed = False + + def read_is_empty(self) -> bool: + return not self.read_conn.poll() + + def read_is_closed(self) -> bool: + return self.read_conn.closed + + def close_read(self): + return self.read_conn.close() + + def read(self) -> bytes: + try: + return self.read_conn.recv_bytes() + except EOFError: + return b"" + + def write_is_closed(self) -> bool: + return self._writer_is_closed + + def close_write(self): + self.write_conn.close() + self._writer_is_closed = True + + def get_writer(self) -> PipeWriter: + if self.write_is_closed(): + raise ValueError( + "Attempted to get writer while the write end of the pipe is closed." + ) + return self._writer + + +@contextmanager +def _redirect_stream(stream: StreamEnum, pipe_writer: MPSpawnReadWritePipe._MPWriter): + """Context manager to redirect stdout or stderr to a pipe writer.""" + # Import sys here to ensure we use the child process sys module + + import sys + + try: + if stream == StreamEnum.STDOUT: + sys.stdout = pipe_writer + elif stream == StreamEnum.STDERR: + sys.stderr = pipe_writer + yield + finally: + if stream == StreamEnum.STDOUT: + sys.stdout = sys.__stdout__ + elif stream == StreamEnum.STDERR: + sys.stderr = sys.__stderr__ + + +def _wrap_to_redirect_stream(func, stream, pipe_writer, *args, **kwargs): + """Wrap a function to redirect its stdout or stderr to a pipe writer. + This should be used with functools.partial to keep things pickleable, rather + than defining the wrapper locally within wrap_and_redirect_stream.""" + with _redirect_stream(stream, pipe_writer): + return func(*args, **kwargs) + + +class LogPipe: + """ + A class to log data from python subprocesses. + + This class is a context manager that can be used to redirect logs from a python subprocess to the + provided logger. It uses internally a pipe to read data from the either one of the subprocesses's + standard streams (stdout, stderr) and log it to the provided logger at the provided level. + The class is created to fulfill the need for logging from a python subprocess. + + + Args: + logger (logging.Logger): The logger to use for logging. + log_level (int): The log level to use for logging. + mode (LogPipeMode): The mode to use for the pipe. + buffer_logs (bool): Whether to buffer the logs in memory. Defaults to False. + If set the true, the logs will be available in the `log_buffer` attribute after the context manager exits. + Otherwise, the `log_buffer` attribute will be None. + + Raises: + ValueError: If an invalid mode is provided. + + Example for the `subprocessing` module: + ``` + logger = logging.getLogger("foo") + with LogPipe(logger=logger, log_level=logging.INFO, mode=LogPipeMode.MP_SPAWN, buffer_logs=True) as lp: + # Run a subprocess and log its output. The stdout of the subprocess will be logged to the logger + # at the provided level automatically. + subprocess.run(["echo", "Hello, world!"], stdout=lp.get_pipe_writer()) + # Get the logs from the buffer. The logs will be available in the buffer only if `buffer_logs` was set to True. + # This is a convenience method only, and could have been done manually by adding a handler to the logger. + captured_stdout = lp.log_buffer.getvalue() + ``` + + Example for the `multiprocessing` module with the `spawn` start method: + ``` + + def foo(x: int, y: int) -> int: + print("HELLO FROM FOO") + return x + y + + logger = logging.getLogger("foo") + with LogPipe(logger=logger, log_level=logging.INFO, mode=LogPipeMode.MP_SPAWN, buffer_logs=True) as lp: + # Create a process and log its output. The stdout of the process will be logged to the logger + # at the provided level automatically. + foo_wrapped = LogPipe.wrap_and_redirect_stream(foo, StreamEnum.STDOUT, lp.get_pipe_writer()) + p = multiprocessing.get_context("spawn").Process(target=foo_wrapped, args=(lp,)) + p.start() + p.join() + # Get the logs from the buffer. The logs will be available in the buffer only if `buffer_logs` was set to True. + # This is a convenience method only, and could have been done manually by adding a handler to the logger. + captured_stdout = lp.log_buffer.getvalue() + """ + + def __init__( + self, + logger: logging.Logger, + log_level: int, + mode: LogPipeMode, + buffer_logs: bool = False, + ): + if mode == LogPipeMode.MP_SPAWN: + self.pipe = MPSpawnReadWritePipe() + elif mode == LogPipeMode.SUBPROCESS: + self.pipe = FileDescriptorReadWritePipe() + else: + raise ValueError( + f"Invalid mode {mode}, expected one of {LogPipeMode.__members__}" + ) + self.mode = mode + self.thread = threading.Thread(target=self.run, daemon=False) + self.logger = logger + self.log_level = log_level + self.pipe_read_lock = threading.Lock() + self.log_buffer = None + if buffer_logs: + self.log_buffer = io.StringIO() + logger.addHandler(logging.StreamHandler(self.log_buffer)) + + def log_from_pipe(self, data: bytes): + data_str = data.decode("utf-8").strip("\n") + if data_str != "": + self.logger.log(self.log_level, data_str) + + def run(self): + """Log everything that comes from the pipe.""" + while True: + # Check if the write end is closed + if self.pipe.write_is_closed(): + # Read until empty, then release then lock + while data := self.pipe.read(): + self.log_from_pipe(data) + return + # Check if not empty and read + if not self.pipe.read_is_empty(): + # Acquire the lock to ensure the write end isn't closed at this time + with self.pipe_read_lock: + data = self.pipe.read() + self.log_from_pipe(data) + + def __enter__(self): + self.thread.start() + return self + + def __exit__(self, exc_type, exc_value, traceback): + # Close the write end of the pipe + with self.pipe_read_lock: + self.pipe.close_write() + # Wait for the thread to finish and flush any remaining logs + # TODO(roulbac): Daemon thread, do we really need to join? + self.thread.join() + # Close the read end + self.pipe.close_read() + + def get_pipe_writer(self) -> PipeWriter: + return self.pipe.get_writer() + + @staticmethod + def wrap_and_redirect_stream( + func: Callable, stream: StreamEnum, pipe_writer: PipeWriter + ) -> Callable: + """ + Wraps a function to redirect its output to a pipe writer. + + Args: + func (Callable): The function to wrap. + stream (Literal["stdout", "stderr"]): The stream to redirect. Must be one of "stdout" or "stderr". + pipe_writer (PipeWriter): The pipe writer to redirect the stream to. + + Returns: + Callable: The wrapped function. + """ + + if stream not in StreamEnum.__members__.values(): + raise ValueError( + f"Invalid stream {stream}, expected one of {StreamEnum.__members__}" + ) + + if not isinstance(pipe_writer, MPSpawnReadWritePipe._MPWriter): + raise ValueError( + "Invalid pipe_writer, please provide a writer for a LogPipe started in MP_SPAWN mode" + ) + + return partial( + _wrap_to_redirect_stream, func=func, stream=stream, pipe_writer=pipe_writer + ) diff --git a/pkgs/flojoy/flojoy/models/JobResults/JobFailure.py b/pkgs/flojoy/flojoy/models/JobResults/JobFailure.py new file mode 100644 index 000000000..0581af913 --- /dev/null +++ b/pkgs/flojoy/flojoy/models/JobResults/JobFailure.py @@ -0,0 +1,11 @@ +from .JobFeedback import JobFeedback + +__all__ = ["JobFailure"] + + +class JobFailure(JobFeedback): + def __init__(self, func_name, node_id, error, jobset_id): + super().__init__(jobset_id) + self.func_name = func_name + self.node_id = node_id + self.error = error diff --git a/pkgs/flojoy/flojoy/models/JobResults/JobFeedback.py b/pkgs/flojoy/flojoy/models/JobResults/JobFeedback.py new file mode 100644 index 000000000..06b5ad614 --- /dev/null +++ b/pkgs/flojoy/flojoy/models/JobResults/JobFeedback.py @@ -0,0 +1,3 @@ +class JobFeedback: + def __init__(self, jobset_id): + self.jobset_id = jobset_id diff --git a/pkgs/flojoy/flojoy/models/JobResults/JobSuccess.py b/pkgs/flojoy/flojoy/models/JobResults/JobSuccess.py new file mode 100644 index 000000000..5f0d2dc7b --- /dev/null +++ b/pkgs/flojoy/flojoy/models/JobResults/JobSuccess.py @@ -0,0 +1,12 @@ +from .JobFeedback import JobFeedback + +__all__ = ["JobSuccess"] + + +class JobSuccess(JobFeedback): + def __init__(self, result, fn, node_id, jobset_id): + super().__init__(jobset_id) + self.result = result + self.fn = fn + self.node_id = node_id + self.jobset_id = jobset_id diff --git a/pkgs/flojoy/flojoy/models/JobResults/__init__.py b/pkgs/flojoy/flojoy/models/JobResults/__init__.py new file mode 100644 index 000000000..24b06ac39 --- /dev/null +++ b/pkgs/flojoy/flojoy/models/JobResults/__init__.py @@ -0,0 +1,2 @@ +from .JobFailure import * +from .JobSuccess import * diff --git a/pkgs/flojoy/flojoy/models/__init__.py b/pkgs/flojoy/flojoy/models/__init__.py new file mode 100644 index 000000000..989292723 --- /dev/null +++ b/pkgs/flojoy/flojoy/models/__init__.py @@ -0,0 +1 @@ +from .JobResults import * diff --git a/pkgs/flojoy/flojoy/module_scraper.py b/pkgs/flojoy/flojoy/module_scraper.py new file mode 100644 index 000000000..e05a479dc --- /dev/null +++ b/pkgs/flojoy/flojoy/module_scraper.py @@ -0,0 +1,263 @@ +import inspect + + +class FlojoyWrapper: + CUSTOM_DOC_ADDITION = "-." * 36 + "\n\t" + CUSTOM_DOC_ADDITION += ( + """The parameters of the function in this Flojoy wrapper are given below.""" + ) + CUSTOM_DOC_ADDITION += "\n\t" + "-." * 36 + "\n" + INPUT_DEFAULT_DTYPE = "np.ndarray" + FORBIDDEN_OPTIONAL_ARGS = ["x", "data", "kwargs", "comparator", "a", "A"] + FORBIDDEN_TYPES = [ + "tuple", + "array-like", + "array_like", + "function", + "callable", + "sequence", + ] + + def __init__(self, func, parameters, module, argument_names): + # we'll use parameters to get the actual default values of the arguments + # for generating the manifest + self.name = func.__name__ + self.doc = func.__doc__ + self.arguments = argument_names + self.optional_argument_dict = parameters + self.module = module + try: + self.first_argument = argument_names[0] + self.parameters = { + self.first_argument: { + "dtype": self.INPUT_DEFAULT_DTYPE, + "optional": False, + } + } + except IndexError: # this means argument_names is none + self.first_argument = None + self.parameters = {} + self.data = "from flojoy import DataContainer, flojoy\n" + self.data += f"import {module.__name__}\n\n" + self.data += f"@flojoy\ndef {self.name.upper()}(dc, params):\n\t" + + self.manifest = "COMMAND:\n\t- " + + self.process_docstring() + + def process_docstring(self): + for idl, line in enumerate(self.doc.split("\n")): + if "Returns" in line: + break + self.doc = "\n" + ( + "\n".join( + [ + ("\t" if (":" in line or "----------" in line) else "\t\t") + + line.lstrip(" ") + for line in self.doc.split("\n")[:idl] + ] + ).replace("\tParameters", self.CUSTOM_DOC_ADDITION + "\n" + "\tParameters") + ) + + def write_manifest(self, mtype): + self.manifest += "name: " + self.name.lower().capitalize() + "\n" + self.manifest += "\t\tkey: " + self.name.upper() + "\n" + self.manifest += "\t\ttype: " + mtype + "\n" + parameter_header = "\t\tparameters: \n\t\t" + parameter_string = "" + if self.parameters.keys() is not []: + for param in self.parameters.keys(): + if param not in self.FORBIDDEN_OPTIONAL_ARGS: + try: + def_val = str(self.optional_argument_dict[param]) + except Exception: + def_val = "None" + dtype = str(self.parameters[param]["dtype"]) + # sometimes we get 'None or float' ... + if dtype == "str": + dtype = "string" + elif dtype == "None or float": + dtype = "float" + elif dtype == "bool": + dtype = "boolean" + parameter_string += ( + f"\t{param}: \n" + + "\t\t\t\ttype: " + + dtype + + "\n\t\t\t\tdefault: " + + ("" if def_val == "None" else def_val) + + " \n\t\t" + ) + if parameter_string != "": + self.manifest += parameter_header + parameter_string + + self.manifest += "\t\t\n" + self.manifest = self.manifest.replace("\t", " ") + + def write_wrapper(self, mtype): + if "callable" in self.doc: + # logger.debug( + # "#CANNOT PROCESS ", + # self.name, + # "since", + # "callable", + # "is not allowed ...", + # ) + self.data = "" + self.manifest = "" + return + self.data += """'''""" + self.data += self.doc + self.data += "\t" + """'''""" + "\n" + self.data += "\treturn DataContainer(" + if self.module.__name__ != "numpy.matlib": + self.data += "\n\t\tx=dc[0].y,\n\t\t" + self.data += f"y={self.module.__name__}.{self.name}(\n\t\t\t" + ( + f"{self.first_argument}=dc[0].y,\n\t\t\t" + if self.first_argument is not None + else "" + ) + else: + self.data += f"\n\t\tm={self.module.__name__}.{self.name}(\n\t\t\t" + ( + f"{self.first_argument}=dc[0].y,\n\t\t\t" + if self.first_argument is not None + else "" + ) + for idk, arg in enumerate(self.arguments): + if arg not in self.FORBIDDEN_OPTIONAL_ARGS: + dtype = "" + try: # try to read it from the inspect dictionary + dtype = type(self.optional_argument_dict[arg]).__name__ + except Exception: + pass + if dtype == "" or dtype == "NoneType": + for idl, line in enumerate(self.doc.split("\n")): + if f"{arg} :" in line: + dtype = ( + line.split(":")[1] + .split(",")[0] + .strip() + .replace("}", "") + .replace("{", "") + .replace("(", "") + .replace(")", "") + ) + break + # now check for not allowed types after identifying them all correctly: + if dtype in self.FORBIDDEN_TYPES: + # logger.debug( + # "#CANNOT PROCESS ", + # self.name, + # "since", + # dtype, + # "is not allowed ...", + # ) + self.data = "" + self.manifest = "" + return + if "ndarray" in dtype: + dtype = "np.ndarray" + self.data = "import numpy as np" + self.data + self.data += f"{arg}=({dtype}(params['{arg}']) if params['{arg}'] != '' else None),\n\t\t" + + self.parameters[arg] = {"dtype": dtype, "optional": True} + self.data += "\t" if idk < len(self.arguments) - 1 else "" + self.data += ")\n\t)\n\n" + self.write_manifest(mtype) + + def __repr__(self): + retval = f"#{self.name}, {self.parameters}\n" + retval += "#" + "-" * 72 + "\n#Wrapper\n" + "#" + "-" * 72 + "\n" + retval += self.data + "\n" + retval += "#" + "-" * 72 + "\n#Manifest\n" + "#" + "-" * 72 + "\n" + retval += "#" + self.manifest.replace("\n", "\n#") + "\n" + return retval + + +def scrape_function(func): + signature = inspect.signature(func) + param_names = [p.name for p in signature.parameters.values()] + default_optional_params = { + k: val.default + for k, val in signature.parameters.items() + if val.default != inspect.Parameter.empty + } + return func, param_names, default_optional_params + + +if __name__ == "__main__": + import ast + import os + from pathlib import Path + + import numpy as np + import scipy + + MODULES_TO_SCRAPE = { + "scipy": [scipy.signal, scipy.stats], + "numpy": [np.linalg, np.random.mtrand], + } + + CWD = os.getcwd() + MANIFEST_DIR = CWD / Path("MANIFEST") + MANIFEST_DIR.mkdir(exist_ok=True) + + for module in MODULES_TO_SCRAPE.keys(): + MODULE_DIR = Path(CWD) / Path(f"{module.upper()}") + MODULE_DIR.mkdir(exist_ok=True) + for submodule in MODULES_TO_SCRAPE[module]: + invalids = [] + valids = [] + submodule_name = submodule.__name__.split(".")[-1] + NODE_DIR = MODULE_DIR / Path(f"{submodule_name.upper()}") + NODE_DIR.mkdir(exist_ok=True) + + iterable = ( + inspect.getmembers(submodule, inspect.isfunction) + if submodule_name != "random" + else inspect.getmembers(submodule) + ) + for name, func in inspect.getmembers(submodule, inspect.isfunction): + _, all_arg_names, default_optional_params = scrape_function(func) + # for the random library we need to check if there are any input arguments at all! + func_is_valid = False + if not all_arg_names: + func_is_valid = True + else: + if (all_arg_names[0] in ["x", "data", "A", "a"]) and ( + "y" not in all_arg_names + and "plot" not in all_arg_names + and "b" not in all_arg_names + ): + func_is_valid = True + if func_is_valid: + fw = FlojoyWrapper( + func, default_optional_params, submodule, all_arg_names + ) + fw.write_wrapper(f"{module.upper()}_{submodule_name.upper()}") + if ( + fw.manifest != "" + and fw.data != "" + and "NoneType" not in fw.data + ): + try: + valid = ast.parse(fw.data) + this_nodes_directory = Path(NODE_DIR / f"{fw.name.upper()}") + this_nodes_directory.mkdir(exist_ok=True) + with open( + this_nodes_directory / f"{fw.name.upper()}.py", "w" + ) as fh: + fh.write(fw.data) + with open( + MANIFEST_DIR / f"{fw.name}.manifest.yaml", "w" + ) as fh: + fh.write(fw.manifest) + valids.append(fw.name) + except SyntaxError: + invalids.append(fw.name) + with open(NODE_DIR / "__init__.py", "w") as fh: + functions = "__all__ = [" + for name in valids: + functions += '"' + name.upper() + '", ' + functions = functions[:-2] + "]\n" + fh.write(functions) diff --git a/pkgs/flojoy/flojoy/node_init.py b/pkgs/flojoy/flojoy/node_init.py new file mode 100644 index 000000000..d04531a6b --- /dev/null +++ b/pkgs/flojoy/flojoy/node_init.py @@ -0,0 +1,98 @@ +from typing import Callable, Any + +from flojoy.parameter_types import format_param_value +from .dao import Dao + + +class NoInitFunctionError(Exception): + pass + + +# contains value returned by a node's init function +class NodeInitContainer: + def __init__(self, value=None): + self.value = value + + def set(self, value): + self.value = value + + def get(self): + return self.value + + +class NodeInit: + def __init__(self, func): + self.func = func + + def __call__(self, node_id: str, ctrls: dict[str, Any]): + return self.run(node_id, ctrls) + + def run(self, node_id: str, ctrls: dict[str, Any]): + daemon_container = NodeInitService().create_init_store(node_id) + + args = { + name: format_param_value(ctrl["value"], ctrl["type"]) + for name, ctrl in ctrls.items() + } + res = self.func(**args) + if res is not None: + daemon_container.set(res) + + +# Wrapper for node_init functions, maps the node to the function that will initialize it. +def node_initialization(for_node): + def decorator(func): + func_init = NodeInit(func) + NodeInitService().map_node_to_init_function(for_node, func_init) + return func_init + + return decorator + + +class NodeInitService: + """ + Class that handles different tasks related to node initialization + """ + + # this method will create the storage used for the node to hold whatever it initialized. + def create_init_store(self, node_id): + if self.has_init_store(node_id): + raise ValueError(f"Storage for {node_id} init object already exists!") + + Dao.get_instance().set_init_container(node_id, NodeInitContainer()) + return self.get_init_store(node_id) + + # this method will get the storage used for the node to hold whatever it initialized. + def get_init_store(self, node_id) -> NodeInitContainer: + store = Dao.get_instance().get_init_container(node_id) + if store is None: + raise ValueError( + f"Storage for {node_id} init object has not been initialized!" + ) + return store + + # this method will check if a node has an init store already created. + def has_init_store(self, node_id) -> bool: + return Dao.get_instance().has_init_container(node_id) + + # this method will map a node to a function that will initialize it. + def map_node_to_init_function(self, node_func, node_init_func): + if NodeInitService().has_init_store(node_func.__name__): + raise ValueError(f"Node {node_func.__name__} already has an init store!") + Dao.get_instance().set_init_function(node_func, node_init_func) + + # this method will get the function that will initialize a node. + def get_node_init_function(self, node_func) -> NodeInit: + res = Dao.get_instance().get_init_function(node_func) + if res is None: + raise NoInitFunctionError( + f"Node {node_func.__name__} does not have an init function!" + ) + return res + + +def get_node_init_function(node_func: Callable) -> NodeInit: + """ + Returns the function corresponding to the init function of the specified node. + """ + return NodeInitService().get_node_init_function(node_func) diff --git a/pkgs/flojoy/flojoy/node_preflight.py b/pkgs/flojoy/flojoy/node_preflight.py new file mode 100644 index 000000000..2664321be --- /dev/null +++ b/pkgs/flojoy/flojoy/node_preflight.py @@ -0,0 +1,3 @@ +def node_preflight(func): + func.is_flojoy_preflight = True + return func diff --git a/pkgs/flojoy/flojoy/parameter_types.py b/pkgs/flojoy/flojoy/parameter_types.py new file mode 100644 index 000000000..2183fff5d --- /dev/null +++ b/pkgs/flojoy/flojoy/parameter_types.py @@ -0,0 +1,162 @@ +from typing import Any, Union +from abc import ABC + + +class HardwareDevice(ABC): + # Some unique identifier for the hardware device, + # For cameras, this is either the port it's connected to or the camera index + # For serial devices, this is the connection port + # For visa devices, this is the visa address + _id: str | int + + def __init__(self, id: int) -> None: + self._id = id + + def get_id(self): + return self._id + + +class HardwareConnection(ABC): + _handle: Any + + def __init__(self, handle: Any) -> None: + self._handle = handle + + def get_handle(self): + return self._handle + + +class CameraDevice(HardwareDevice): + pass + + +class SerialDevice(HardwareDevice): + def get_port(self): + return str(self.get_id()) + + +class VisaDevice(HardwareDevice): + def get_address(self): + return str(self.get_id()) + + +class NIDevice(HardwareDevice): + pass + + +class CameraConnection(HardwareConnection): + def __del__(self): + self._handle.release() + + +class SerialConnection(HardwareConnection): + def __del__(self): + self._handle.close() + + +class VisaConnection(HardwareConnection): + def __del__(self): + self._handle.close() + + +class NIConnection(HardwareConnection): + def __del__(self): + self._handle.close() + + +class NodeReference: + """Node parameter type""" + + ref: str + + def __init__(self, ref: str) -> None: + self.ref = ref + + def unwrap(self): + return self.ref + + +class Array: + """Node parameter type of `list[str | float | int]`""" + + ref: list[str | float | int] + + def __init__(self, ref: list[str | float | int]) -> None: + self.ref = ref + + def unwrap(self): + return self.ref + + +class File: + """Node parameter type of str""" + + ref: str + + def __init__(self, ref: str) -> None: + self.ref = ref + + def unwrap(self): + return self.ref + + +def format_param_value(value: Any, value_type: str): + match value_type: + case "Array": + s = str(value) + parsed_value = parse_array(s, [str, float, int], "list[int | float | str]") + return Array(parsed_value) + case "list[str]": + return parse_array(str(value), [str], "list[str]") + case "list[float]": + return parse_array(str(value), [float], "list[float]") + case "list[int]": + return parse_array(str(value), [int], "list[int]") + case "select" | "str": + return str(value) + + if value == "": + return None + + match value_type: + case "float": + return float(value) + case "int": + return int(value) + case "bool": + return bool(value) + case "NodeReference": + return NodeReference(str(value)) + case "CameraDevice" | "CameraConnection": + return ( + CameraDevice(int(value)) if value.isnumeric() else CameraDevice(value) + ) + case "SerialDevice" | "SerialConnection": + return SerialDevice(value) + case "VisaDevice" | "VisaConnection": + return VisaDevice(value) + case "File": + return File(str(value)) + case _: + print("hit default case", flush=True) + return value + + +def parse_array( + str_value: str, type_list: list[Any], param_type: str +) -> list[Union[int, float, str]]: + if not str_value: + return [] + + val_list = [val.strip() for val in str_value.split(",")] + # First try to cast into int, then float, then keep as string if all else fails + for t in type_list: + try: + return list(map(t, val_list)) + except ValueError: + continue + + raise ValueError( + f"Couldn't parse list items with type {','.join([str(t) for t in type_list])}." + + f"Value should be comma (',') separated {' | '.join([t.__name__ for t in type_list])} for parameter type {param_type}." + ) diff --git a/pkgs/flojoy/flojoy/plotly_utils.py b/pkgs/flojoy/flojoy/plotly_utils.py new file mode 100644 index 000000000..b1ebcb438 --- /dev/null +++ b/pkgs/flojoy/flojoy/plotly_utils.py @@ -0,0 +1,78 @@ +import plotly.express as px +import plotly.graph_objects as go +import numpy as np +from .data_container import DataContainer +import pandas as pd +from typing import cast, Any + + +def data_container_to_plotly(data: DataContainer) -> dict[str, Any] | None: + data_copy = data.copy() + dc_type = data_copy.type + fig = go.Figure(layout=dict(template="plotly")) + if "x" in data_copy and isinstance(data_copy.x, dict): # type: ignore + data_keys = list(cast(list[str], data_copy.x.keys())) + data_copy.x = data_copy.x[data_keys[0]] # type: ignore + + match dc_type: + case "Image": + if data_copy.a is None: + img_combined = np.stack((data_copy.r, data_copy.g, data_copy.b), axis=2) + else: + img_combined = np.stack( + (data_copy.r, data_copy.g, data_copy.b, data_copy.a), axis=2 + ) + fig = px.imshow(img=img_combined) # type:ignore + case "OrderedPair": + if data_copy.x is not None and len(data_copy.x) != len(data_copy.y): + data_copy.x = np.arange(0, len(data_copy.y), 1) + fig = px.line(x=data_copy.x, y=data_copy.y) + case "OrderedTriple": + fig = px.scatter_3d(x=data_copy.x, y=data_copy.y, z=data_copy.z) + case "Scalar": + fig.add_trace( + go.Indicator( + value=data_copy.c, + domain={"y": [0, 1], "x": [0, 1]}, + number={"valueformat": "f"}, + ) + ) + case "Vector": + df = pd.DataFrame(data_copy.v) + fig = go.Figure( + data=[go.Table(header=dict(values=["Vector"]), cells=dict(values=[df]))] + ) + case "DataFrame": + df = cast(pd.DataFrame, data_copy.m) + fig = go.Figure( + data=[ + go.Table( + header=dict(values=list(df.columns)), + cells=dict(values=[df[col] for col in df.columns]), + ) + ] + ) + case "Grayscale" | "Matrix": + y_columns: np.ndarray = data_copy.m + for i, col in enumerate(y_columns.T): + fig.add_trace( + go.Scatter( + x=np.arange(0, col.size), + y=col, + mode="lines", + name=i, + ) + ) + case "Surface": + fig = go.Figure( + data=[go.Surface(x=data_copy.x, y=data_copy.y, z=data_copy.z)] + ) + case "Plotly": + fig = cast(go.Figure, data.fig) + case "Bytes" | "TextBlob" | "Boolean": + return None + case _: + raise ValueError( + f"unsupported DataContainer type passed to plotly converter function, type: '{dc_type}" + ) + return cast(dict[str, Any], fig.to_dict()) diff --git a/pkgs/flojoy/flojoy/reconciler.py b/pkgs/flojoy/flojoy/reconciler.py new file mode 100644 index 000000000..eba03f97c --- /dev/null +++ b/pkgs/flojoy/flojoy/reconciler.py @@ -0,0 +1,102 @@ +""" +Nodes should try to accomodate any reasonable combination of inputs that a first-time Flojoy Studio user might try. + +For example, the ADD node should make a best effort to do something reasonable when a matrix is added to a DataFrame, or a 2 matrices of a different size are added. + +For this reason, we've created the `Reconciler` class to handle the process of turning different data types into compatible, easily added objects. +""" +from typing import Tuple +import numpy + +from .data_container import DataContainer + + +class IrreconcilableContainersException(Exception): + pass + + +class Reconciler: + def __init__(self, pad: float = 0): + self.pad = pad + + def reconcile( + self, lhs: DataContainer, rhs: DataContainer + ) -> Tuple[DataContainer, DataContainer]: + types_to_reconcile = set([lhs.type, rhs.type]) + if types_to_reconcile == set(["Matrix"]): + return self.reconcile_matrix(lhs, rhs) + elif types_to_reconcile == set(["DataFrame"]): + return self.reconcile_dataframe(lhs, rhs) + elif types_to_reconcile == set(["OrderedPair"]): + return self.reconcile_ordered_pair(lhs, rhs) + elif types_to_reconcile == set(["Matrix", "Scalar"]): + return self.reconcile_matrix_scalar(lhs, rhs) + elif types_to_reconcile == set(["Matrix", "DataFrame"]): + return self.reconcile_dataframe_matrix(lhs, rhs) + elif types_to_reconcile == set(["Scalar", "DataFrame"]): + return self.reconcile_dataframe_scalar(lhs, rhs) + else: + raise IrreconcilableContainersException( + "FloJoy doesn't know how to reconcile data containers of type %s and %s" + % (lhs.type, rhs.type) + ) + + def reconcile_matrix( + self, lhs: DataContainer, rhs: DataContainer + ) -> Tuple[DataContainer, DataContainer]: + # make the matrices equal sizes, by padding + final_r = max(lhs.m.shape[0], rhs.m.shape[0]) + final_c = max(lhs.m.shape[1], rhs.m.shape[1]) + + new_lhs = numpy.pad( + lhs.m, + ((0, final_r - lhs.m.shape[0]), (0, final_c - lhs.m.shape[1])), + "constant", + constant_values=self.pad, + ) + new_rhs = numpy.pad( + rhs.m, + ((0, final_r - rhs.m.shape[0]), (0, final_c - rhs.m.shape[1])), + "constant", + constant_values=self.pad, + ) + + return ( + DataContainer(type="Matrix", m=new_lhs), + DataContainer(type="Matrix", m=new_rhs), + ) + + def reconcile_dataframe( + self, lhs: DataContainer, rhs: DataContainer + ) -> Tuple[DataContainer, DataContainer]: + # pandas' handling for DataFrames is actually pretty permissive. Let's just + # return both types as normal + return (lhs, rhs) + + def reconcile_dataframe_scalar( + self, lhs: DataContainer, rhs: DataContainer + ) -> Tuple[DataContainer, DataContainer]: + # let's expand the scalar to be a DataFrame the same size as the other DataFrame + if lhs.type == "DataFrame": + new_m = lhs.m.copy() + new_m.iloc[:] = rhs.c + return lhs, DataContainer(type="DataFrame", m=new_m) + + new_m = rhs.m.copy() + new_m.iloc[:] = lhs.c + return DataContainer(type="DataFrame", m=new_m), rhs + + def reconcile_ordered_pair( + self, lhs: DataContainer, rhs: DataContainer + ) -> Tuple[DataContainer, DataContainer]: + raise NotImplementedError("TODO") + + def reconcile_matrix_scalar( + self, lhs: DataContainer, rhs: DataContainer + ) -> Tuple[DataContainer, DataContainer]: + raise NotImplementedError("TODO") + + def reconcile_dataframe_matrix( + self, lhs: DataContainer, rhs: DataContainer + ) -> Tuple[DataContainer, DataContainer]: + raise NotImplementedError("TODO") diff --git a/pkgs/flojoy/flojoy/small_memory.py b/pkgs/flojoy/flojoy/small_memory.py new file mode 100644 index 000000000..a016041c5 --- /dev/null +++ b/pkgs/flojoy/flojoy/small_memory.py @@ -0,0 +1,78 @@ +from typing import Any +from .dao import Dao + + +class SmallMemory: + """ + SmallMemory - available during jobset execution - intended to be used ONLY inside node functions + """ + + tracing_key = "ALL_MEMORY_KEYS" + dao = Dao.get_instance() + + def clear_memory(self): + self.dao.clear_small_memory() + + def write_to_memory(self, job_id: str, key: str, value: Any): + memory_key = f"{job_id}-{key}" + value_type_key = f"{memory_key}_value_type_key" + meta_data = {} + s = str(type(value)) + v_type = s.split("'")[1] + match v_type: + case "numpy.ndarray": + array_dtype = str(value.dtype) + meta_data["type"] = "np_array" + meta_data["d_type"] = array_dtype + meta_data["dimensions"] = value.shape + self.dao.set_obj(value_type_key, meta_data) + self.dao.set_np_array(memory_key, value) + case "pandas.core.frame.DataFrame": + meta_data["type"] = "pd_dframe" + self.dao.set_obj(value_type_key, meta_data) + self.dao.set_pandas_dataframe(memory_key, value) + case "str" | "numpy.float64": + meta_data["type"] = "string" + self.dao.set_obj(value_type_key, meta_data) + self.dao.set_str(memory_key, value) + case "dict": + meta_data["type"] = "dict" + self.dao.set_obj(value_type_key, meta_data) + self.dao.set_obj(memory_key, value) + case "bool": + meta_data["type"] = "bool" + self.dao.set_obj(value_type_key, meta_data) + self.dao.set_bool(memory_key, value) + case _: + raise ValueError( + f"SmallMemory currently does not support '{v_type}' type data!" + ) + + def read_memory(self, job_id: str, key: str): + """ + Reads object stored in internal DB by the given key. The memory is job specific. + """ + memory_key = f"{job_id}-{key}" + value_type_key = f"{memory_key}_value_type_key" + meta_data = self.dao.get_obj(value_type_key) + if not meta_data: + return None + meta_type = meta_data.get("type") + match meta_type: + case "string": + return self.dao.get_str(memory_key) + case "dict": + return self.dao.get_obj(memory_key) + case "np_array": + return self.dao.get_np_array(memory_key) + case "pd_dframe": + return self.dao.get_pd_dataframe(memory_key) + case _: + return None + + def delete_object(self, job_id: str, key: str): + """ + Removes object stored in internal DB by the given key. The memory is job specific. + """ + memory_key = f"{job_id}-{key}" + return self.dao.delete_object(memory_key) diff --git a/pkgs/flojoy/flojoy/utils.py b/pkgs/flojoy/flojoy/utils.py new file mode 100644 index 000000000..0ea58592b --- /dev/null +++ b/pkgs/flojoy/flojoy/utils.py @@ -0,0 +1,370 @@ +import decimal +import json as _json +import os +from pathlib import Path +from typing import Any, Callable, Optional + +import logging +import numpy as np +import pandas as pd +import yaml + +# TODO(roulbac): Remove these imports once the nodes using them have been +# tested and updated to use huggingface_hub directly +from huggingface_hub import hf_hub_download +from huggingface_hub import snapshot_download + +from flojoy.connection_manager import DeviceConnectionManager +from .dao import Dao +from .config import FlojoyConfig, logger + +from .node_init import NodeInit, NodeInitService +import keyring +import base64 +from .CONSTANTS import FLOJOY_DIR, FLOJOY_CACHE_DIR, CREDENTIAL_FILE + + +__all__ = [ + "get_env_var", + "set_env_var", + "delete_env_var", + "get_credentials", + "hf_hub_download", + "snapshot_download", + "hf_hub_download", + "snapshot_download", + "clear_flojoy_memory", +] + + +# # package result +# def package_result(result: dict | None, fn: str, node_id: str, jobset_id: str) -> dict: +# return { +# "NODE_RESULTS": { +# "cmd": fn, +# "id": node_id, +# "result": result, +# }, +# "jobsetId": jobset_id, +# } + +# # package error +# def package_error(func_name, node_id, jobset_id, error): +# return { +# "SYSTEM_STATUS": f"Failed to run: {func_name}", +# "FAILED_NODES": {node_id: str(error)}, +# "jobsetId": jobset_id, +# } + + +# Make as a function to mock at test-time +def get_hf_hub_cache_path() -> str: + """Returns the path to the HuggingFace home directory (HF_HOME) within the Flojoy cache directory + This is used to cache huggingface artifacts within the Flojoy cache directory.""" + return os.path.join(FLOJOY_CACHE_DIR, "cache", "huggingface") + + +def set_offline(): + """ + Sets the is_offline flag to True, which means that results will not be sent to the backend via HTTP. + Mainly used for precompilation + """ + FlojoyConfig.get_instance().is_offline = True + + +def set_online(): + """ + Sets the is_offline flag to False, which means that results will be sent to the backend via HTTP. + """ + FlojoyConfig.get_instance().is_offline = False + + +def set_debug_on(): + """ + Sets the print_on flag to True, which means that the print statements will be executed. + """ + logger.setLevel(logging.DEBUG) + + +def set_debug_off(): + """ + Sets the print_on flag to False, which means that the print statements will not be executed. + """ + logger.setLevel(logging.INFO) + + +def clear_flojoy_memory(): + Dao.get_instance().clear_job_results() + Dao.get_instance().clear_small_memory() + Dao.get_instance().clear_node_init_containers() + DeviceConnectionManager.clear() + + +class PlotlyJSONEncoder(_json.JSONEncoder): + """ + Meant to be passed as the `cls` kwarg to json.dumps(obj, cls=..) + See PlotlyJSONEncoder.default for more implementation information. + Additionally, this encoder overrides nan functionality so that 'Inf', + 'NaN' and '-Inf' encode to 'null'. Which is stricter JSON than the Python + version. + """ + + def coerce_to_strict(self, const: Any): + """ + This is used to ultimately *encode* into strict JSON, see `encode` + """ + # before python 2.7, 'true', 'false', 'null', were include here. + if const in ("Infinity", "-Infinity", "NaN"): + return None + else: + return const + + def encode(self, o: Any): + """ + Load and then dump the result using parse_constant kwarg + Note that setting invalid separators will cause a failure at this step. + """ + # this will raise errors in a normal-expected way + encoded_o = super(PlotlyJSONEncoder, self).encode(o) + # Brute force guessing whether NaN or Infinity values are in the string + # We catch false positive cases (e.g. strings such as titles, labels etc.) + # but this is ok since the intention is to skip the decoding / reencoding + # step when it's completely safe + + if not ("NaN" in encoded_o or "Infinity" in encoded_o): + return encoded_o + + # now: + # 1. `loads` to switch Infinity, -Infinity, NaN to None + # 2. `dumps` again so you get 'null' instead of extended JSON + try: + new_o = _json.loads(encoded_o, parse_constant=self.coerce_to_strict) + except ValueError: + # invalid separators will fail here. raise a helpful exception + raise ValueError( + "Encoding into strict JSON failed. Did you set the separators " + "valid JSON separators?" + ) + else: + return _json.dumps( + new_o, + sort_keys=self.sort_keys, + indent=self.indent, + separators=(self.item_separator, self.key_separator), + ) + + def default(self, obj: dict[str, Any]): + """ + Accept an object (of unknown type) and try to encode with priority: + 1. builtin: user-defined objects + 2. sage: sage math cloud + 3. pandas: dataframes/series + 4. numpy: ndarrays + 5. datetime: time/datetime objects + Each method throws a NotEncoded exception if it fails. + The default method will only get hit if the object is not a type that + is naturally encoded by json: + Normal objects: + dict object + list, tuple array + str, unicode string + int, long, float number + True true + False false + None null + Extended objects: + float('nan') 'NaN' + float('infinity') 'Infinity' + float('-infinity') '-Infinity' + Therefore, we only anticipate either unknown iterables or values here. + """ + # TODO: The ordering if these methods is *very* important. Is this OK? + encoding_methods = ( + self.encode_as_plotly, + self.encode_as_numpy, + self.encode_as_pandas, + self.encode_as_datetime, + self.encode_as_date, + self.encode_as_list, # because some values have `tolist` do last. + self.encode_as_decimal, + self.encode_as_base64, + ) + for encoding_method in encoding_methods: + try: + return encoding_method(obj) + except NotEncodable: + pass + return _json.JSONEncoder.default(self, obj) + + @staticmethod + def encode_as_base64(value: bytes): + """Attempt to convert to base64.""" + try: + return base64.b64encode(value).decode() + except AttributeError: + raise NotEncodable + + @staticmethod + def encode_as_plotly(obj: dict[str, Any]): + """Attempt to use a builtin `to_plotly_json` method.""" + try: + return obj.to_plotly_json() + except AttributeError: + raise NotEncodable + + @staticmethod + def encode_as_list(obj): + """Attempt to use `tolist` method to convert to normal Python list.""" + if hasattr(obj, "tolist"): + return obj.tolist() + else: + raise NotEncodable + + @staticmethod + def encode_as_pandas(obj): + """Attempt to convert pandas.NaT""" + if not pd: + raise NotEncodable + if obj is pd.NaT: + return None + elif isinstance(obj, pd.DataFrame): + return obj.to_json() + else: + raise NotEncodable + + @staticmethod + def encode_as_numpy(obj): + """Attempt to convert numpy.ma.core.masked""" + if not np: + raise NotEncodable + + if obj is np.ma.masked: + return float("nan") + elif isinstance(obj, np.ndarray) and obj.dtype.kind == "M": + try: + return np.datetime_as_string(obj).tolist() + except TypeError: + pass + + raise NotEncodable + + @staticmethod + def encode_as_datetime(obj): + """Convert datetime objects to iso-format strings""" + try: + return obj.isoformat() + except AttributeError: + raise NotEncodable + + @staticmethod + def encode_as_date(obj): + """Attempt to convert to utc-iso time string using date methods.""" + try: + time_string = obj.isoformat() + except AttributeError: + raise NotEncodable + else: + return time_string # iso_to_plotly_time_string(time_string) + + @staticmethod + def encode_as_decimal(obj): + """Attempt to encode decimal by converting it to float""" + if isinstance(obj, decimal.Decimal): + return float(obj) + else: + raise NotEncodable + + +class NotEncodable(Exception): + pass + + +def dump_str(result: Any, limit: int | None = None): + result_str = str(result) + return ( + result_str + if limit is None or len(result_str) <= limit + else result_str[:limit] + "..." + ) + + +def get_flojoy_root_dir() -> str: + home = str(Path.home()) + path = os.path.join(home, ".flojoy/flojoy.yaml") + stream = open(path, "r") + yaml_dict = yaml.load(stream, Loader=yaml.FullLoader) + root_dir = "" + + if isinstance(yaml_dict, str): + root_dir = yaml_dict.split(":")[1] + else: + root_dir = yaml_dict["PATH"] + + return root_dir + + +def get_env_var(key: str) -> Optional[str]: + return keyring.get_password("flojoy", key) + + +def set_env_var(key: str, value: str): + keyring.set_password("flojoy", key, value) + home = str(Path.home()) + file_path = os.path.join(home, os.path.join(FLOJOY_DIR, CREDENTIAL_FILE)) + + if not os.path.exists(file_path): + with open(file_path, "w") as f: + f.write(key) + return + + with open(file_path, "r") as f: + keys = f.read().strip().split(",") + if key not in keys: + keys.append(key) + + with open(file_path, "w") as f: + f.write(",".join(keys)) + + +def delete_env_var(key: str): + home = str(Path.home()) + file_path = os.path.join(home, os.path.join(FLOJOY_DIR, CREDENTIAL_FILE)) + + if not os.path.exists(file_path): + return + + with open(file_path, "r") as f: + keys = f.read().strip().split(",") + + if key not in keys: + return + + keys.remove(key) + + with open(file_path, "w") as f: + f.write(",".join(keys)) + + keyring.delete_password("flojoy", key) + + +def get_credentials() -> list[dict[str, str]]: + home = str(Path.home()) + file_path = os.path.join(home, os.path.join(FLOJOY_DIR, CREDENTIAL_FILE)) + + if not 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"~2" +numpy = "~1" +plotly = "~5" +pillow = "~10" +python-dotenv = "~1" +pyyaml = "~6.0" +requests = "~2" +keyring = "~24" +python-box = "~7" +pydantic = "~2" +huggingface-hub = "~0" +cloudpickle = "~2" +networkx = "~3" +scipy = "~1" +matplotlib = "~3" +portalocker = "~2" +qcodes = "~0" + + +[tool.poetry.group.dev.dependencies] +pytest = "^7.4.0" +ruff = "^0.1.2" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/pkgs/flojoy/pytest.ini b/pkgs/flojoy/pytest.ini new file mode 100644 index 000000000..2878c7ecb --- /dev/null +++ b/pkgs/flojoy/pytest.ini @@ -0,0 +1,2 @@ +[pytest] +python_files = *_test_.py diff --git a/pkgs/flojoy/tests/__init__.py b/pkgs/flojoy/tests/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/pkgs/flojoy/tests/conftest.py b/pkgs/flojoy/tests/conftest.py new file mode 100644 index 000000000..e446d0a1c --- /dev/null +++ b/pkgs/flojoy/tests/conftest.py @@ -0,0 +1,21 @@ +import pytest + + +def pytest_addoption(parser): + parser.addoption( + "--runslow", action="store_true", default=False, help="run slow tests" + ) + + +def pytest_configure(config): + config.addinivalue_line("markers", "slow: mark test as slow to run") + + +def pytest_collection_modifyitems(config, items): + if config.getoption("--runslow"): + # --runslow given in cli: do not skip slow tests + return + skip_slow = pytest.mark.skip(reason="need --runslow option to run") + for item in items: + if "slow" in item.keywords: + item.add_marker(skip_slow) diff --git a/pkgs/flojoy/tests/flojoy_node_venv_test_.py b/pkgs/flojoy/tests/flojoy_node_venv_test_.py new file mode 100644 index 000000000..308d8297a --- /dev/null +++ b/pkgs/flojoy/tests/flojoy_node_venv_test_.py @@ -0,0 +1,344 @@ +import io +import sys +import json +from textwrap import dedent +from typing import Any +import pytest +import os +import shutil +from unittest.mock import patch +import threading +import tempfile +from time import sleep +import logging +import http.server +import socketserver +import subprocess +from queue import Queue + +import requests + + +pytestmark = pytest.mark.slow + + +# Define a fixture that creates a local server to receive requests in the background +@pytest.fixture(scope="function") +def local_server(): + post_data = [] # List to store POST request contents + + # Define a handler for the server + class Handler(http.server.SimpleHTTPRequestHandler): + def log_message(self, format: str, *args: Any) -> None: + pass + + def do_POST(self): + content_length = int(self.headers["Content-Length"]) + post_body = self.rfile.read(content_length) + post_data.append( + post_body.decode("utf-8") + ) # Add the POST content to the post_data list + self.send_response(200) + self.end_headers() + self.wfile.write(b"POST received") + + # Start the server in a thread + server = socketserver.TCPServer(("localhost", 0), Handler) + thread = threading.Thread(target=server.serve_forever, daemon=True) + thread.start() + + # Yield the server and post_data so you can inspect it after the test if required + yield server, post_data + + # Clean up + server.shutdown() + thread.join() + + +@pytest.fixture(scope="module") +def configure_logging(): + logging.basicConfig( + format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", + level=logging.INFO, + force=True, + ) + + +# Define a fixture to patch tempfile.tempdir +@pytest.fixture +def mock_venv_cache_dir(): + _test_tempdir = os.path.realpath( + os.path.join(tempfile.gettempdir(), "test_flojoy_node_venv") + ) + # Wipe the directory to be patched if it exists + shutil.rmtree(_test_tempdir, ignore_errors=True) + os.makedirs(_test_tempdir) + # Patch the tempfile.tempdir + with patch( + "flojoy.flojoy_node_venv._get_venv_cache_dir", return_value=_test_tempdir + ): + yield _test_tempdir + # Clean up + shutil.rmtree(_test_tempdir) + + +@pytest.fixture +def run_in_venv_script_source_code(): + return dedent( + """ + from flojoy import run_in_venv + + @run_in_venv(pip_dependencies=["numpy", "torch"], verbose=True) + def inner_func(): + import torch + import numpy as np + return 0 + + inner_func() + """ + ) + + +def test_run_in_venv_streams_logs_to_http_server( + mock_venv_cache_dir, configure_logging, local_server +): + from flojoy import run_in_venv + + # Get the URL of the local server + server, post_data = local_server + + url = f"http://{server.server_address[0]}:{server.server_address[1]}" + + class HttpLogHandler(logging.Handler): + def __init__(self, url): + super().__init__() + self.url = url + + def emit(self, record): + log_entry = self.format(record) + headers = {"Content-type": "application/json"} + requests.post(self.url, data=json.dumps(log_entry), headers=headers) + + logger = logging.getLogger("func_that_streams_logs_to_server") + handler = HttpLogHandler(url) + handler.setFormatter( + logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s") + ) + logger.addHandler(handler) + + @run_in_venv(pip_dependencies=["numpy"], verbose=True) + def func_that_streams_logs_to_server(): + import sys + + print("Hi from the other virtual environment") + print("Oops, I did it again", file=sys.stderr) + + # Execute that function + func_that_streams_logs_to_server() + + # Check post_data contains the expected logs + post_data_str = "\n".join(post_data) + assert "numpy" in post_data_str + assert "flojoy" in post_data_str + assert "cloudpickle" in post_data_str + assert "Hi from the other virtual environment" in post_data_str + assert "Oops, I did it again" in post_data_str + + +def test_run_in_venv_streams_logs_to_console(mock_venv_cache_dir, configure_logging): + from flojoy import run_in_venv + + # Get the logger for the function below + logger = logging.getLogger("func_that_streams_logs_to_console") + # Create a buffer to capture logs + buf = io.StringIO() + # Add a handler to the logger such that buffer is written to when the logger is used + logger.addHandler(logging.StreamHandler(buf)) + # Start a thread that logs the size of the buffer every 0.1s, + buf_sizes = [] + + def monitor_buffer(): + while not buf.closed: + buf_sizes.append(buf.tell()) + sleep(0.1) + + thread = threading.Thread(target=monitor_buffer, daemon=False) + thread.start() + + @run_in_venv(pip_dependencies=["numpy"], verbose=True) + def func_that_streams_logs_to_console(): + import sys + from time import sleep + + for i in range(100): + print(f"HELLO FROM FOO {i}") + print(f"HELLO STDERR FROM FOO {i}", file=sys.stderr) + sleep(0.01) + return 42 + + # Run foo + func_that_streams_logs_to_console() + # Close the buffer then join the thread + buf_val = buf.getvalue() + buf.close() + thread.join() + # Check that the buffer size has increased over time + diff = [buf_sizes[i + 1] - buf_sizes[i] for i in range(len(buf_sizes) - 1)] + assert all([d >= 0 for d in diff]) + # Check that the buffer contains the expected output + # 1 - For pip install numpy + assert "numpy" in buf_val + assert "flojoy" in buf_val + assert "cloudpickle" in buf_val + # 2 - For the print statements from within the function + for i in range(100): + assert f"HELLO FROM FOO {i}" in buf_val + assert f"HELLO STDERR FROM FOO {i}" in buf_val + + +def test_run_in_venv_imports_jax_properly(mock_venv_cache_dir, configure_logging): + """Test that run_in_venv imports properly jax for example""" + + from flojoy import run_in_venv + + @run_in_venv(pip_dependencies=["jax[cpu]==0.4.13"]) + def empty_function_with_jax(): + # Import jax to check if it is installed + # Fetch the list of installed packages + import sys + import importlib.metadata + + # Get the list of installed packages + packages_dict = { + package.name: package.version + for package in importlib.metadata.distributions() + } + return packages_dict, sys.path, sys.executable + + # Run the function + packages_dict, sys_path, sys_executable = empty_function_with_jax() + # Test for executable + assert sys_executable.startswith(mock_venv_cache_dir) + # Test for sys.path + assert sys_path[-1].startswith(os.path.dirname(__file__)) + assert sys_path[-2].startswith(mock_venv_cache_dir) + # Test for package version + assert packages_dict["jax"] == "0.4.13" + + +# Skip until dependency versions can be resolved with Flojoy (incompatible pandas versions) +@pytest.mark.skip(reason="Skip until dependencies on pandas can be resolved") +def test_run_in_venv_imports_flytekit_properly(mock_venv_cache_dir, configure_logging): + from flojoy import run_in_venv + + # Define a function that imports flytekit and returns its version + @run_in_venv(pip_dependencies=["flytekit==1.9.0"]) + def empty_function_with_flytekit(): + import sys + import importlib.metadata + + # Get the list of installed packages + packages_dict = { + package.name: package.version + for package in importlib.metadata.distributions() + } + return packages_dict, sys.path, sys.executable + + # Run the function + packages_dict, sys_path, sys_executable = empty_function_with_flytekit() + # Test for executable + assert sys_executable.startswith(mock_venv_cache_dir) + # Test for sys.path + assert sys_path[-1].startswith(os.path.dirname(__file__)) + assert sys_path[-2].startswith(mock_venv_cache_dir) + # Test for package version + assert packages_dict["flytekit"] == "1.9.0" + + +def test_run_in_venv_imports_opencv_properly(mock_venv_cache_dir, configure_logging): + # Define a function that imports opencv-python-headless and returns its version + + from flojoy import run_in_venv + + @run_in_venv(pip_dependencies=["opencv-python-headless==4.7.0.72"]) + def empty_function_with_opencv(): + import sys + import importlib.metadata + + # Get the list of installed packages + packages_dict = { + package.name: package.version + for package in importlib.metadata.distributions() + } + return packages_dict, sys.path, sys.executable + + # Run the function + packages_dict, sys_path, sys_executable = empty_function_with_opencv() + # Test for executable + assert sys_executable.startswith(mock_venv_cache_dir) + # Test for sys.path + assert sys_path[-1].startswith(os.path.dirname(__file__)) + assert sys_path[-2].startswith(mock_venv_cache_dir) + # Test for package version + assert packages_dict["opencv-python-headless"] == "4.7.0.72" + + +def test_run_in_venv_does_not_hang_on_error(mock_venv_cache_dir, configure_logging): + """Test that run_in_venv imports properly jax for example""" + + from flojoy import run_in_venv + + @run_in_venv(pip_dependencies=[]) + def empty_function_with_error(): + return 1 / 0 + + # Run the function and expect an error + with pytest.raises(ChildProcessError): + empty_function_with_error() + + +@pytest.mark.parametrize("daemon", [True, False]) +def test_run_in_venv_runs_within_thread(mock_venv_cache_dir, configure_logging, daemon): + def function_to_run_within_thread(queue): + from flojoy import run_in_venv + + @run_in_venv(pip_dependencies=["numpy"]) + def func_with_venv(): + return 42 + + # Run the function + queue.put(func_with_venv()) + + # Run the function in a thread + queue = Queue() + thread = threading.Thread( + target=function_to_run_within_thread, args=(queue,), daemon=daemon + ) + thread.start() + thread.join() + # Check that the thread has finished + assert not thread.is_alive() + # Check that there is something in the queue + assert not queue.empty() + # Check that the function has returned + assert queue.get(timeout=60) == 42 + + +def test_run_in_venv_same_pip_deps_from_two_subprocesses_is_safe( + mock_venv_cache_dir, configure_logging, run_in_venv_script_source_code +): + """Tests that two functions ran from two subprocesses do not interfere with each other""" + # Spawn the two functions in two subprocesses + # Repeat 10 times + for _ in range(10): + p1 = subprocess.Popen( + [sys.executable, "-c", f"{run_in_venv_script_source_code}"] + ) + p2 = subprocess.Popen( + [sys.executable, "-c", f"{run_in_venv_script_source_code}"] + ) + # Wait for the two processes to finish + p1.wait() + p2.wait() + # Check that the processes have finished successfully + assert p1.returncode == 0 and p2.returncode == 0 diff --git a/pkgs/flojoy/tests/flojoy_python_test_.py b/pkgs/flojoy/tests/flojoy_python_test_.py new file mode 100644 index 000000000..9eda827e8 --- /dev/null +++ b/pkgs/flojoy/tests/flojoy_python_test_.py @@ -0,0 +1,15 @@ +import os +from flojoy.flojoy_python import cache_huggingface_to_flojoy +from flojoy.utils import get_hf_hub_cache_path + + +def test_cache_huggingface_to_flojoy_decorator(): + os.environ["HF_HOME"] = "test" + + def test_func(): + return os.environ.get("HF_HOME") + + test_func = cache_huggingface_to_flojoy()(test_func) + assert os.environ.get("HF_HOME") == "test" + assert test_func() == get_hf_hub_cache_path() + assert os.environ.get("HF_HOME") == "test" diff --git a/pkgs/flojoy/tests/reconciler_test_.py b/pkgs/flojoy/tests/reconciler_test_.py new file mode 100644 index 000000000..3b93eaf2a --- /dev/null +++ b/pkgs/flojoy/tests/reconciler_test_.py @@ -0,0 +1,78 @@ +import numpy +import pandas +import unittest + + +from flojoy.data_container import DataContainer +from flojoy.reconciler import Reconciler, IrreconcilableContainersException + + +class ReconcilerTestCase(unittest.TestCase): + def test_matrix_different_sizes(self): + # create the two matrix datacontainers + dc_a = DataContainer(type="Matrix", m=numpy.ones([2, 3])) + + dc_b = DataContainer(type="Matrix", m=numpy.ones([3, 2])) + + r = Reconciler() + # function under test + rec_a, rec_b = r.reconcile(dc_a, dc_b) + + self.assertTrue( + numpy.array_equal( + numpy.array([[1.0, 1.0, 1.0], [1.0, 1.0, 1.0], [0.0, 0.0, 0.0]]), + rec_a.m, + ) + ) + self.assertTrue( + numpy.array_equal( + numpy.array([[1.0, 1.0, 0.0], [1.0, 1.0, 0.0], [1.0, 1.0, 0.0]]), + rec_b.m, + ) + ) + + def test_dataframe_different_sizes(self): + # reconciler should take no action, as pandas operations are quite permissive already + df_a = pandas.DataFrame( + data={"col1": [1, 2, 3], "col2": [4, 5, 6], "col3": [7, 8, 9]} + ) + df_b = pandas.DataFrame(data={"col2": [-1, -2], "col3": [-4, -5]}) + + # create the two matrix datacontainers + dc_a = DataContainer(type="DataFrame", m=df_a) + dc_b = DataContainer(type="DataFrame", m=df_b) + + r = Reconciler() + # function under test + rec_a, rec_b = r.reconcile(dc_a, dc_b) + + self.assertTrue(rec_a.m.equals(df_a)) + self.assertTrue(rec_b.m.equals(df_b)) + + def test_dataframe_scalar(self): + # reconciler should expand the scalar to be the size of the DataFrame + df_a = pandas.DataFrame(data={"col1": [1, 2, 3], "col2": [4, 5, 6]}) + df_b_new = pandas.DataFrame(data={"col1": [1, 1, 1], "col2": [1, 1, 1]}) + + # create the two matrix datacontainers + dc_a = DataContainer(type="DataFrame", m=df_a) + dc_b = DataContainer(type="Scalar", c=1) + + r = Reconciler() + # function under test + rec_a, rec_b = r.reconcile(dc_a, dc_b) + + self.assertTrue(rec_a.m.equals(df_a)) + self.assertTrue(rec_b.m.equals(df_b_new)) + + def test_complain_if_irreconcilable(self): + dc_a = DataContainer(type="Grayscale") + + dc_b = DataContainer( + type="OrderedPair", x=numpy.linspace(-10, 10, 100), y=[7] * 100 + ) + + r = Reconciler() + # function under test + with self.assertRaises(IrreconcilableContainersException): + rec_a, rec_b = r.reconcile(dc_a, dc_b) diff --git a/pkgs/flojoy/tests/utils_test_.py b/pkgs/flojoy/tests/utils_test_.py new file mode 100644 index 000000000..cd8934691 --- /dev/null +++ b/pkgs/flojoy/tests/utils_test_.py @@ -0,0 +1,67 @@ +import os +import shutil +import tempfile +from unittest.mock import patch + +import pytest + + +def _search_for_file_recursively(dir: str, file_name: str) -> list[str]: + """Search for a file recursively in a directory""" + matches = [] + for root, dirnames, filenames in os.walk(dir): + for filename in filenames: + if filename == file_name: + matches.append(os.path.join(root, filename)) + return matches + + +@pytest.fixture +def temp_cache_dir(): + """ " Mock out the path of the hub cache""" + _test_tempdir = os.path.join(tempfile.gettempdir(), "test_flojoy_hf_hub_cache") + # Wipe the directory to be patched if it exists + shutil.rmtree(_test_tempdir, ignore_errors=True) + os.makedirs(_test_tempdir) + # Patch the tempfile.tempdir + yield _test_tempdir + # Clean up + shutil.rmtree(_test_tempdir) + + +@patch("flojoy.utils._hf_hub_download") +@patch("flojoy.utils._get_hf_hub_cache_path") +def test_hf_hub_download_wraps( + mock_get_hf_hub_cache_path, mock_wrapped_hf_hub_download, temp_cache_dir +): + """Test that hf_hub_download wraps the original hf_hub_download properly""" + mock_get_hf_hub_cache_path.return_value = temp_cache_dir + mock_wrapped_hf_hub_download.side_effect = lambda *args, **kwargs: os.path.join( + kwargs["cache_dir"], "test" + ) + from flojoy import hf_hub_download + + out_path = hf_hub_download("efgh") # type: ignore + assert out_path == os.path.join(mock_get_hf_hub_cache_path.return_value, "test") + + +@patch("flojoy.utils._get_hf_hub_cache_path") +def test_hf_hub_download_writes(mock_get_hf_hub_cache_path, temp_cache_dir): + """Test that the original hf_hub_download writes the file to the right place in flojoy cache""" + mock_get_hf_hub_cache_path.return_value = temp_cache_dir + # from flojoy import hf_hub_download + # + # out_path = hf_hub_download( + # repo_id="lysandre/arxiv-nlp", + # filename="config.json", + # revision="c7a2e68263d13db10671379c23cf2a8ea0e12789", + # ) + # Test that there exists (recursively) a config.json file under mock_get_hf_hub_cache_path + assert ( + len( + _search_for_file_recursively( + mock_get_hf_hub_cache_path.return_value, "config.json" + ) + ) + == 1 + ) diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml new file mode 100644 index 000000000..ab0a33917 --- /dev/null +++ b/pnpm-lock.yaml @@ -0,0 +1,12629 @@ +lockfileVersion: '6.0' + +settings: + autoInstallPeers: true + 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(>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"] +testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] + +[metadata] +lock-version = "2.0" +python-versions = "~3.10" +content-hash = "bec6cad0d79b75524fc3730f3211a2a7207574d7f0bdc340e64847fc9f133762" diff --git a/poetry.toml b/poetry.toml new file mode 100644 index 000000000..53b35d370 --- /dev/null +++ b/poetry.toml @@ -0,0 +1,3 @@ +[virtualenvs] +create = true +in-project = true diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 000000000..1928507d9 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,42 @@ +[tool.poetry] +name = "flojoy-studio" +version = "0.1.0" +description = "" +authors = [ + "Jack Palmer ", + "Joey Yu ", + "Jeff Zhang ", + "Syed Mahbub ", + "Dallas Strandell ", +] +readme = "README.md" + +[tool.poetry.dependencies] +python = "~3.10" +uvicorn = { extras = ["standard"], version = "^0.23.2" } +flojoy = { path = "pkgs/flojoy", develop = true } +fastapi = "^0.103.2" +scikit-learn = "^1.3.1" +python-dotenv = "^1.0.0" +requests = "^2.31.0" +debugpy = "^1.8.0" +opencv-python-headless = "^4.8.1.78" +pyserial = "^3.5" +zeroconf = "^0.115.2" +docstring-parser = "^0.15" +keyring = "^24.2.0" +qcodes = "^0.40.0" +pyobjc = { version = "^10.0", platform = "darwin" } +pyvisa-py = "^0.7.0" +pyvisa = "^1.13.0" +pyusb = "^1.2.1" + + +[tool.poetry.group.dev.dependencies] +pytest = "^7.4.2" +pytest-cov = "^4.1.0" +ruff = "^0.1.2" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index d7e624832..000000000 --- a/requirements.txt +++ /dev/null @@ -1,21 +0,0 @@ -flojoy==0.1.15 -scikit-learn==1.2.2 -python-dotenv==1.0.0 -requests==2.29.0 -pytest==7.1.3 -black==23.3.0 -pytest-cov==4.1.0 -uvicorn[standard]==0.23.2 -fastapi==0.103.0 -docstring_parser==0.15 -keyring==24.2.0 -qcodes==0.39.1 -pyvisa_py==0.7.0 -pyvisa==1.13.0 -pyusb==1.2.1 -zeroconf==0.102.0 -pyserial==3.5 -debugpy -opencv-python-headless -pyobjc -chardet diff --git a/scripts/backend.ps1 b/scripts/backend.ps1 index ac9f75018..a3e3d5919 100644 --- a/scripts/backend.ps1 +++ b/scripts/backend.ps1 @@ -1,5 +1,12 @@ Set-ExecutionPolicy -Scope CurrentUser -ExecutionPolicy Bypass +function info_msg { + param ( + $message + ) + Write-Host ":info: $message" +} + function feedback { param ( $is_successful, @@ -7,7 +14,7 @@ function feedback { $help_message ) if ($is_successful -eq $true) { - Write-Host "$message" + info_msg "$message" } else { Write-Host "$help_message" @@ -15,60 +22,94 @@ function feedback { } } +function enableLibmamba { + param ( + $conda_exec + ) + # Get solver from config + $solver = @(Invoke-Expression "$conda_exec config --show solver") + + # Check if "libmamba" is there as solver + if ($solver -like "*libmamba*") { + info_msg "Libmamba is already set as solver for conda." + } + else { + info_msg "Updating Conda and configuring libmamba as the solver." + Invoke-Expression "$conda_exec update -n base conda -y "| Out-Null + Invoke-Expression "$conda_exec install -n base conda-libmamba-solver -y" | Out-Null + Invoke-Expression "$conda_exec config --set solver libmamba" | Out-Null + feedback $? "Libmamba is set as solver for conda..." "Failed to set libmamba as solver for conda!" + } +} + $currentDir = Split-Path -Parent $MyInvocation.MyCommand.Path -$appData = $env:APPDATA -$flojoyDir = Join-Path $appData ".flojoy" -$mambaDir = Join-Path $flojoyDir "mamba" -$mambaHookScript = Join-Path $mambaDir "condabin" "mamba_hook.ps1" -$mambaExecutable = Join-Path $currentDir "bin/micromamba.exe" -$venvName = "flojoy_root" -$venvDir = Join-Path $mambaDir "envs" $venvName -$venvExecutable = Join-Path $venvDir "python.exe" -$isMamabaInstalled = Get-Command micromamba -ErrorAction SilentlyContinue +$flojoyEnv = "flojoy-studio" +$envYml = Join-Path $currentDir "environment.yml" +$condaScript = Join-Path $currentDir "conda_install.ps1" -Write-Host "flojoy dir: $flojoyDir" -if ( -not (Test-Path $flojoyDir)) { - Write-Output "Flojoy directory doesn't exist, Creating $flojoyDir ..." - New-Item -ItemType Directory $flojoyDir | Out-Null -} -Set-Location $flojoyDir -Write-Output "Location set to $flojoyDir" +info_msg "Looking for conda installation..." +# Check if conda is found on PATH +if (!(Get-Command conda -ErrorAction SilentlyContinue)) { + # Look for conda installation in default installation path + $condaDefaultExec = Join-Path $env:USERPROFILE "miniconda3" "Scripts" "conda.exe" + if (-not (Test-Path $condaDefaultExec)) { + info_msg "Conda installation was not found..." + # install conda + Invoke-Expression "$condaScript" + $condaExec = "$condaDefaultExec" -if (-not (Test-Path $venvExecutable -PathType Leaf)) { - if (Test-Path $venvDir) { - Remove-Item -Path $venvDir -Force | Out-Null - } - if ($isMamabaInstalled) { - Write-Host "Existing Micromamba executable found..." - Write-Host "Creating $venvName env..." - & micromamba create -n $venvName conda-forge::python=3.10 -r "$mambaDir" -y - feedback $? "Micromamba env $venvName created successfully." "Micromamba env creation failed." } else { - Write-Host "Micromamba is not found..." - Write-Host "Creating $venvName env..." - Invoke-Expression "$mambaExecutable create -n $venvName conda-forge::python=3.10 -r $mambaDir -y" - feedback $? "Micromamba env $venvName created successfully." "Micromamba env creation failed." + info_msg "Conda installation is found!" + $condaExec = "$condaDefaultExec" } } -if (!($isMamabaInstalled)) { - Invoke-Expression "$mambaExecutable shell init -s powershell -p $mambaDir" | Out-Null - $Env:MAMBA_ROOT_PREFIX = $mambaDir - $Env:MAMBA_EXE = $mambaExecutable - Invoke-Expression "$mambaHookScript" -} else { - $Env:MAMBA_ROOT_PREFIX = $mambaDir + info_msg "Conda installation is found!" + $condaExec = "conda" +} +# Get envs and expressions to activate conda on current PowerShell +$_conda_expressions = @(Invoke-Expression "$condaExec shell.powershell hook") + +# Iterate through the list of strings and execute each as a command +foreach ($_expression in $_conda_expressions) { + if ($_expression) { + Invoke-Expression $_expression + } } -& micromamba activate $venvName -feedback $? "Env $venvName is activated!" "Failed to activate $venvName env!" +enableLibmamba $condaExec + +$env_list = @(conda env list) +$isEnvExists = $env_list | Select-String -Pattern "$flojoyEnv " +if ($isEnvExists) { + info_msg "$flojoyEnv env found!" + $updated = Test-Path -PathType Leaf (Join-Path $currentDir ".updated_env") + if ($updated -eq $false) { + info_msg "Updating $flojoyEnv env..." + conda env update --file "$envYml" --name $flojoyEnv | Out-Null + New-Item -ItemType File (Join-Path $currentDir ".updated_env") -ErrorAction SilentlyContinue | Out-Null + } +} +else { + # Environment doesn't exist, create it + info_msg "$flojoyEnv env not found, creating env with conda..." + conda env create --file "$envYml" --name $flojoyEnv | Out-Null + New-Item -ItemType File (Join-Path $currentDir ".updated_env") -ErrorAction SilentlyContinue | Out-Null +} +conda activate $flojoyEnv +feedback $? "Env $flojoyEnv is activated!" "Failed to activate $flojoyEnv env, try relunching app!" Set-Location $currentDir -Write-Output "Installing pip dependencies..." -& python -m pip install -r .\requirements.txt +$installedDeps = Test-Path -PathType Leaf (Join-Path $currentDir ".installed_deps") +if ($installedDeps -eq $false) { + info_msg "Installing python dependencies...It can take up to few minutes for first time, hang tight..." + & poetry install + feedback $? "Package installation completed!" "Error occured while installing python deps with poetry!" + New-Item -ItemType File (Join-Path $currentDir ".installed_deps") -ErrorAction SilentlyContinue | Out-Null +} -Write-Output "Package installation completed, starting backend..." +info_msg "Starting backend..." $Env:ELECTRON_MODE = "packaged" & python .\manage.py diff --git a/scripts/backend.sh b/scripts/backend.sh index 3052b5562..f2c608565 100644 --- a/scripts/backend.sh +++ b/scripts/backend.sh @@ -1,65 +1,108 @@ -#!/bin/bash +info_msg() { + message=$1 + echo ":info: $message" +} +feedback() { + is_successful=$1 + message=$2 + help_message=$3 + if [ "$is_successful" -eq 0 ]; then + info_msg "$message" + else + echo "$help_message" + exit 1 + fi +} + +source_bash_zsh() { + if [ -f ~/.zshrc ]; then + source ~/.zshrc + info_msg "Sourced ~/.zshrc" + fi + + if [ -f ~/.bashrc ]; then + source ~/.bashrc + info_msg "Sourced ~/.bashrc" + fi +} + +init_shell() { -feedback() -{ - is_successful=$1 - message=$2 - help_message=$3 - if [ "$is_successful" -eq 0 ]; then - echo "$message" - else - echo "$help_message" - exit 1 - fi + if [ -f ~/.zshrc ]; then + eval "$(conda shell.zsh hook)" + fi + + if [ -f ~/.bashrc ]; then + eval "$(conda shell.bash hook)" + fi +} + +enable_libmamba() { + # Get solver from config + $solver=$(conda config --show solver) + # Check if "libmamba" is there as solver + if [[ $solver == *"libmamba"* ]]; then + info_msg "Libmamba is already set as solver for conda." + else + info_msg "Updating Conda and configuring libmamba as the solver." + conda update -n base conda -y >/dev/null 2>&1 + conda install -n base conda-libmamba-solver -y >/dev/null 2>&1 + conda config --set solver libmamba >/dev/null 2>&1 + feedback $? "Libmamba is set as solver for conda..." "Failed to set libmamba as solver for conda!" + fi } current_dir="$(dirname "$(readlink -f "$0")")" -flojoy_dir="$HOME/.flojoy" -mamba_dir="$flojoy_dir/mamba" -python_exec="$mamba_dir/bin/python3" -venv_name="flojoy_root" -venv_dir="$mamba_dir/envs/$venv_name" -venv_executable="$venv_dir/bin/python" -platform=$(uname) -arch=$(uname -m) -mamba_executable="$current_dir/bin/micromamba-$platform-$arch" +flojoy_env="flojoy-studio" +env_yml="$current_dir/environment.yml" +conda_script="$current_dir/conda_install.sh" -echo "flojoy dir: $flojoy_dir" +# Need to source them because the "conda" command is actually a bash function +source_bash_zsh -if [ ! -d "$flojoy_dir" ]; then - echo "Flojoy directory doesn't exist, Creating $flojoy_dir ... " - mkdir "$flojoy_dir" +info_msg "Looking for conda installation..." +if ! command -v conda &>/dev/null; then + info_msg "Conda installation was not found..." + bash $conda_script + source_bash_zsh +else + info_msg "Conda is already installed..." fi -cd "$flojoy_dir" -echo "Location set to $flojoy_dir" +init_shell # configure the shell properly -if [ ! -f "$venv_executable" ]; then - if [ -d "$venv_dir" ]; then - rm -rf "$venv_dir" - fi - echo "Creating micromamba env..." - "$mamba_executable" create -n $venv_name conda-forge::python=3.10 -r $mamba_dir -y - feedback $? "Micromamba env $venv_name created successfully." "Micromamba env creation failed." +enable_libmamba + +cd $current_dir + +# Bootstrapping using conda +conda activate $flojoy_env +# Check if the Conda environment exists +if [ $? -eq 0 ]; then + info_msg "$flojoy_env env found!" + if ! test -f "$current_dir/.updated_env"; then + info_msg "Updating $flojoy_env env..." + # Environment exists, update it + conda env update --file $env_yml --name $flojoy_env + conda activate $flojoy_env + touch "$current_dir/.updated_env" + fi +else + # Environment doesn't exist, create it + info_msg "Creating $flojoy_env env with conda..." + conda env create --file $env_yml --name $flojoy_env + conda activate $flojoy_env + info_msg "Activated $flojoy_env env." + touch "$current_dir/.updated_env" fi -if [ $platform == "Linux" ]; then - eval "$("$mamba_executable" shell hook --shell bash)" - export MAMBA_ROOT_PREFIX=$mamba_dir - micromamba activate $venv_name - feedback $? "Env $venv_name is activated!" "Failed to activate $venv_name env!" - cd "$current_dir" - echo "Installing pip dependencies..." - pip install -r requirements.txt - echo "Package installation completed, starting backend..." - export ELECTRON_MODE=packaged - python manage.py -elif [ $platform == "Darwin" ]; then - cd "$current_dir" - echo "Installing pip dependencies..." - "$venv_executable" -m pip install -r requirements.txt - echo "Package installation completed, starting backend..." - export ELECTRON_MODE=packaged - "$venv_executable" manage.py -fi \ No newline at end of file +if ! test -f "$current_dir/.installed_deps"; then + info_msg "Installing python deps... It may take up to few minutes for the first time.. hang tight!" + poetry install + feedback $? "Installed packages successfully!" "Error occurred while installing packages with poetry!" + touch "$current_dir/.installed_deps" +fi +export ELECTRON_MODE=packaged +info_msg "Starting backend..." +poetry run python3 manage.py diff --git a/scripts/conda_install.ps1 b/scripts/conda_install.ps1 new file mode 100644 index 000000000..d72e813dd --- /dev/null +++ b/scripts/conda_install.ps1 @@ -0,0 +1,27 @@ +function info_msg { + param ( + $message + ) + Write-Host ":info: $message" + } + + function feedback { + param ( + $is_successful, + $message, + $help_message + ) + if ($is_successful -eq $true) { + info_msg "$message" + } + else { + Write-Host "$help_message" + exit 1 + } + } +info_msg "Downloading latest miniconda executable..." +curl https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe -o miniconda.exe | Out-Null +info_msg "Installing miniconda on the machine..." +Start-Process .\miniconda.exe -ArgumentList "/S /InstallationType=JustMe" -Wait -ErrorAction SilentlyContinue +feedback $? "Miniconda installed successfully!" "Failed to install Miniconda" +Remove-Item miniconda.exe | Out-Null \ No newline at end of file diff --git a/scripts/conda_install.sh b/scripts/conda_install.sh new file mode 100644 index 000000000..2f4fbdc86 --- /dev/null +++ b/scripts/conda_install.sh @@ -0,0 +1,33 @@ +info_msg() { + message=$1 + echo ":info: $message" +} +feedback() { + is_successful=$1 + message=$2 + help_message=$3 + if [ "$is_successful" -eq 0 ]; then + info_msg "$message" + else + echo "$help_message" + exit 1 + fi +} +miniconda_dir="$HOME/miniconda3" +mkdir -p "$miniconda_dir" +info_msg "Downloading latest miniconda executable..." +if [[ "$OSTYPE" == "darwin"* ]]; then + conda_script="curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh -o $miniconda_dir/miniconda.sh" +else + conda_script="wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O $miniconda_dir/miniconda.sh" +fi +info_msg "Installing miniconda..." +$conda_script + +bash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3 +rm -rf ~/miniconda3/miniconda.sh +info_msg "Initializing bash and zsh with conda... " +~/miniconda3/bin/conda init bash +~/miniconda3/bin/conda init zsh + +feedback $? "Installed miniconda successfully!" "Failed to install miniconda!" diff --git a/scripts/get_micromamba.ps1 b/scripts/get_micromamba.ps1 deleted file mode 100644 index 0582caa2d..000000000 --- a/scripts/get_micromamba.ps1 +++ /dev/null @@ -1,14 +0,0 @@ -Set-ExecutionPolicy -Scope CurrentUser -ExecutionPolicy Bypass - -$tempDir = Join-Path $PWD "bin/.temp" -if (-not (Test-Path $tempDir)) { - New-Item -ItemType Directory -Force -Path $tempDir | Out-Null -} - -Invoke-Webrequest -URI https://micro.mamba.pm/api/micromamba/win-64/latest -OutFile "$tempDir/micromamba.tar.bz2" - -tar xf "$tempDir/micromamba.tar.bz2" -C $tempDir - -Move-Item -Force "$tempDir\Library\bin\micromamba.exe" "bin/micromamba.exe" - -Remove-Item $tempDir -Force -Recurse \ No newline at end of file diff --git a/scripts/get_micromamba.sh b/scripts/get_micromamba.sh deleted file mode 100755 index 1f166f396..000000000 --- a/scripts/get_micromamba.sh +++ /dev/null @@ -1,31 +0,0 @@ -#!/bin/bash - -download_and_rename() { - url="$1" - distro_suffix="$2" - - echo "Downloading $url" - - curl -Ls "$url" | tar -xvj bin/micromamba - - DESTINATION="$(pwd)/bin/micromamba-$distro_suffix" - mv "$(pwd)/bin/micromamba" "$DESTINATION" - chmod +x "$DESTINATION" -} - -MICROMAMBA_URL="https://micro.mamba.pm/api/micromamba" - -# Linux Intel (x86_64) -download_and_rename "$MICROMAMBA_URL/linux-64/latest" "Linux-x86_64" - -# Linux ARM64 -download_and_rename "$MICROMAMBA_URL/linux-aarch64/latest" "Linux-arm64" - -# Linux Power -download_and_rename "$MICROMAMBA_URL/linux-ppc64le/latest" "Linux-ppc64le" - -# macOS Intel (x86_64) -download_and_rename "$MICROMAMBA_URL/osx-64/latest" "Darwin-x86_64" - -# macOS Silicon/M1 (ARM64) -download_and_rename "$MICROMAMBA_URL/osx-arm64/latest" "Darwin-arm64" diff --git a/scripts/notarize.js b/scripts/notarize.js index 46a2d0c14..af69a334c 100644 --- a/scripts/notarize.js +++ b/scripts/notarize.js @@ -8,9 +8,6 @@ module.exports = async function (params) { if (process.platform !== "darwin") { return; } - - console.log("afterSign hook triggered", params); - let appId = "ai.flojoy.studio"; let appPath = path.join( @@ -18,7 +15,7 @@ module.exports = async function (params) { `${params.packager.appInfo.productFilename}.app`, ); if (!fs.existsSync(appPath)) { - console.log("skip"); + console.log(`skipping notarizing as ${appPath} doens't exist`); return; } @@ -29,7 +26,7 @@ module.exports = async function (params) { appBundleId: appId, appPath: appPath, appleId: process.env.APPLE_ID, - appleIdPassword: process.env.APPLE_ID_PASSWORD, - teamId: process.env.TEAM_ID, + teamId: process.env.APPLE_TEAM_ID, + appleIdPassword: process.env.APPLE_APP_SPECIFIC_PASSWORD, }); }; diff --git a/src/App.tsx b/src/App.tsx index 718998d65..473f970f0 100644 --- a/src/App.tsx +++ b/src/App.tsx @@ -1,8 +1,7 @@ -import { useEffect, useState } from "react"; +import { useEffect } from "react"; import { useRouteError, Route, Routes } from "react-router-dom"; import "./App.css"; -import PreJobOperationDialog from "./feature/common/PreJobOperationDialog"; import { useFlowChartState } from "./hooks/useFlowChartState"; import { useSocket } from "./hooks/useSocket"; import { sendFrontEndLoadsToMix } from "@src/services/MixpanelServices"; @@ -10,7 +9,7 @@ import { ErrorPage } from "@src/ErrorPage"; import FlowChartTab from "./feature/flow_chart_panel/FlowChartTabView"; import DeviceTab from "./feature/device_panel/DeviceView"; import { ThemeProvider } from "@src/providers/themeProvider"; -import ElectronLogsDialog from "./components/electron/ElectronLogsDialog"; +// import ElectronLogsDialog from "./components/electron/ElectronLogsDialog"; import PythonManagerTabView from "./feature/python_manager_panel/PythonManagerTabView"; import { Layout } from "./feature/common/Layout"; import LoadingPage from "./feature/loading/LoadingPage"; @@ -24,9 +23,8 @@ function ErrorBoundary() { const App = () => { const { - states: { runningNode, failedNodes, modalConfig }, + states: { runningNode, failedNodes }, } = useSocket(); - const [isPrejobModalOpen, setIsPrejobModalOpen] = useState(false); const { setRunningNode, setFailedNodes } = useFlowChartState(); useEffect(() => { @@ -34,10 +32,6 @@ const App = () => { setFailedNodes(failedNodes); }, [runningNode, failedNodes, setRunningNode, setFailedNodes]); - useEffect(() => { - setIsPrejobModalOpen(modalConfig.showModal ?? false); - }, [modalConfig]); - useEffect(() => { sendFrontEndLoadsToMix(); }, []); @@ -45,14 +39,7 @@ const App = () => { return (
- - + {/* */} }> { - const [open, setOpen] = useState(false); - const [title, setTitle] = useState(""); - const [description, setDescription] = useState(""); - const [outputs, setOutputs] = useState([]); +type ElectronLogsDialogProps = { + open: boolean; + setOpen: React.Dispatch>; + logs: string[]; + title?: string; + description?: string; +}; + +const ElectronLogsDialog = ({ + open, + setOpen, + logs, + title, + description, +}: ElectronLogsDialogProps) => { const lastElem = useRef(null); useEffect(() => { if (lastElem.current?.scrollIntoView) { lastElem.current.scrollIntoView({ behavior: "smooth" }); } - }, [outputs.length]); - - useEffect(() => { - // Subscribe to electron logs - window.api?.subscribeToElectronLogs((data) => { - if (typeof data === "string") { - setOpen(true); - setOutputs((p) => [...p, data]); - return; - } - if (typeof data === "object" && data !== null) { - setOpen(data.open); - if (data.title) { - setTitle(data.title); - } - if (data.description) { - setDescription(data.description); - } - if (data.clear) { - setOutputs([]); - } else { - setOutputs((p) => [...p, data.output]); - } - } - }); - }, []); + }, [logs.length]); return ( - setOpen(false)}> - + { + setOpen(false); + }} + > + {title} {description} - {outputs.map((output, i) => ( -
- {output} -
- ))} +
+ {logs.map((output, i) => ( +
+ {output} +
+ ))} +
); diff --git a/src/components/nodes/TextNode.tsx b/src/components/nodes/TextNode.tsx index 27165128f..245ade311 100644 --- a/src/components/nodes/TextNode.tsx +++ b/src/components/nodes/TextNode.tsx @@ -1,12 +1,13 @@ import { memo, useEffect, useRef, useState } from "react"; import { textNodesAtom } from "@src/hooks/useFlowChartGraph"; import { useSetAtom } from "jotai"; -import { useNodeId, NodeResizer } from "reactflow"; +import { useNodeId, NodeResizer, NodeProps, useStore } from "reactflow"; import { Textarea } from "../ui/textarea"; import ReactMarkdown from "react-markdown"; import { toast } from "sonner"; import { Edit, Trash } from "lucide-react"; import { cn } from "@src/lib/utils"; +import { TextData } from "@src/types/node"; const LinkRenderer = (props) => { const handleClick = () => { @@ -25,16 +26,22 @@ const LinkRenderer = (props) => { ); }; -type TextNodeProps = { - selected: boolean; - data: { - text: string; - }; -}; - -const TextNode = ({ selected, data }: TextNodeProps) => { +const TextNode = ({ selected, data, id }: NodeProps) => { const [editing, setEditing] = useState(false); - const [dimensions, setDimensions] = useState({ width: 200, height: 150 }); + const size = useStore((s) => { + const node = s.nodeInternals.get(id); + if (!node) { + throw new Error(`Could not find text node with id ${id}`); + } + return { + width: node.width, + height: node.height, + }; + }); + const [dimensions, setDimensions] = useState({ + width: size.width ?? 200, + height: size.height ?? 150, + }); const setTextNodes = useSetAtom(textNodesAtom); const nodeId = useNodeId(); const ref = useRef(null); diff --git a/src/components/nodes/nodeTypesMap.ts b/src/components/nodes/nodeTypesMap.ts index 599541439..d78310f14 100644 --- a/src/components/nodes/nodeTypesMap.ts +++ b/src/components/nodes/nodeTypesMap.ts @@ -22,4 +22,11 @@ export const nodeTypesMap = { CONDITIONALS: ConditionalNode, SCIPY: ScipyNode, NUMPY: NumpyNode, + DATA: DataNode, + VISUALIZATION: VisorNode, + ETL: DefaultNode, + DSP: DefaultNode, + CONTROL_FLOW: LogicNode, + MATH: DefaultNode, + HARDWARE: IONode, }; diff --git a/src/components/ui/alert-dialog.tsx b/src/components/ui/alert-dialog.tsx index 7187823ad..d40c44d3a 100644 --- a/src/components/ui/alert-dialog.tsx +++ b/src/components/ui/alert-dialog.tsx @@ -8,18 +8,13 @@ const AlertDialog = AlertDialogPrimitive.Root; const AlertDialogTrigger = AlertDialogPrimitive.Trigger; -const AlertDialogPortal = ({ - className, - ...props -}: AlertDialogPrimitive.AlertDialogPortalProps) => ( - -); -AlertDialogPortal.displayName = AlertDialogPrimitive.Portal.displayName; +const AlertDialogPortal = AlertDialogPrimitive.Portal; const AlertDialogOverlay = React.forwardRef< React.ElementRef, React.ComponentPropsWithoutRef ->(({ className, ...props }, ref) => ( + // eslint-disable-next-line @typescript-eslint/no-unused-vars +>(({ className, children, ...props }, ref) => ( ( - -); -DialogPortal.displayName = DialogPrimitive.Portal.displayName; +const DialogPortal = DialogPrimitive.Portal; const DialogOverlay = React.forwardRef< React.ElementRef, @@ -112,6 +106,8 @@ DialogDescription.displayName = DialogPrimitive.Description.displayName; export { Dialog, + DialogPortal, + DialogOverlay, DialogTrigger, DialogContent, DialogHeader, diff --git a/src/context/socket.context.tsx b/src/context/socket.context.tsx index 8af8b8c1e..346fb22ea 100644 --- a/src/context/socket.context.tsx +++ b/src/context/socket.context.tsx @@ -10,14 +10,6 @@ import { useFetchNodesMetadata, } from "@src/hooks/useManifest"; -export type ModalConfig = { - showModal?: boolean; - title?: string; - messages?: string[]; - id?: string; - description?: string; -}; - type States = { programResults: NodeResult[]; setProgramResults: Dispatch>; @@ -25,7 +17,7 @@ type States = { serverStatus: IServerStatus; failedNodes: Record; socketId: string; - modalConfig: ModalConfig; + logs: string[]; }; export enum IServerStatus { @@ -58,9 +50,7 @@ export const SocketContextProvider = ({ const [socket, setSocket] = useState(); const [states, setStates] = useState(DEFAULT_STATES); const [programResults, setProgramResults] = useState([]); - const [modalConfig, setModalConfig] = useState({ - showModal: false, - }); + const [logs, setLogs] = useState([]); const hardwareRefetch = useHardwareRefetch(); const fetchManifest = useFetchManifest(); const fetchMetadata = useFetchNodesMetadata(); @@ -85,7 +75,7 @@ export const SocketContextProvider = ({ handleSocketId: handleStateChange("socketId"), onNodeResultsReceived: setProgramResults, onPingResponse: handleStateChange("serverStatus"), - handleModalConfig: setModalConfig, + handleLogs: setLogs, onClose: (ev) => { console.log("socket closed with event:", ev); setSocket(undefined); @@ -105,10 +95,10 @@ export const SocketContextProvider = ({ ...states, programResults, setProgramResults, - modalConfig, + logs, }, }), - [programResults, states, modalConfig], + [programResults, states, logs], ); return ( {children} diff --git a/src/data/RECIPES.ts b/src/data/RECIPES.ts index cc7334a26..935451d48 100644 --- a/src/data/RECIPES.ts +++ b/src/data/RECIPES.ts @@ -1,542 +1,9 @@ import { ElementsData } from "@/types"; import { ReactFlowJsonObject } from "reactflow"; +import { defaultApp } from "./apps"; -export const NOISY_SINE: ReactFlowJsonObject = { - nodes: [ - { - width: 72, - height: 72, - id: "ADD-a3c1e32a-5032-4bed-8814-29f803ace0b6", - type: "ARITHMETIC", - data: { - id: "ADD-a3c1e32a-5032-4bed-8814-29f803ace0b6", - label: "ADD", - func: "ADD", - type: "ARITHMETIC", - ctrls: {}, - inputs: [ - { - name: "a", - id: "a", - type: "OrderedPair|Scalar|Vector", - multiple: false, - desc: null, - }, - { - name: "b", - id: "b", - type: "OrderedPair|Scalar|Vector", - multiple: true, - desc: null, - }, - ], - outputs: [ - { - name: "default", - id: "default", - type: "OrderedPair|Scalar|Vector", - desc: null, - }, - ], - path: "PYTHON/nodes/TRANSFORMERS/ARITHMETIC/ADD/ADD.py", - selected: false, - }, - position: { - x: 277.7769837518414, - y: 72.74309296103615, - }, - selected: false, - positionAbsolute: { - x: 277.7769837518414, - y: 72.74309296103615, - }, - dragging: true, - }, - { - width: 225, - height: 226, - id: "HISTOGRAM-f9483fdf-a2c0-4de2-bda5-8900acba4124", - type: "VISUALIZERS", - data: { - id: "HISTOGRAM-f9483fdf-a2c0-4de2-bda5-8900acba4124", - label: "HISTOGRAM", - func: "HISTOGRAM", - type: "VISUALIZERS", - ctrls: {}, - inputs: [ - { - name: "default", - id: "default", - type: "OrderedPair|DataFrame|Matrix", - multiple: false, - desc: null, - }, - ], - outputs: [ - { - name: "default", - id: "default", - type: "Plotly", - desc: null, - }, - ], - path: "PYTHON/nodes/VISUALIZERS/PLOTLY/HISTOGRAM/HISTOGRAM.py", - selected: false, - }, - position: { - x: 450.22511735469914, - y: 166.9790174482946, - }, - selected: false, - positionAbsolute: { - x: 450.22511735469914, - y: 166.9790174482946, - }, - dragging: true, - }, - { - width: 225, - height: 226, - id: "SCATTER-55268351-79af-4a28-a22c-d85b261b9681", - type: "VISUALIZERS", - data: { - id: "SCATTER-55268351-79af-4a28-a22c-d85b261b9681", - label: "SCATTER", - func: "SCATTER", - type: "VISUALIZERS", - ctrls: {}, - inputs: [ - { - name: "default", - id: "default", - type: "OrderedPair|DataFrame|Matrix", - multiple: false, - desc: null, - }, - ], - outputs: [ - { - name: "default", - id: "default", - type: "Plotly", - desc: null, - }, - ], - path: "PYTHON/nodes/VISUALIZERS/PLOTLY/SCATTER/SCATTER.py", - selected: false, - }, - position: { - x: 453.2609421482763, - y: -224.53664602472713, - }, - selected: false, - positionAbsolute: { - x: 453.2609421482763, - y: -224.53664602472713, - }, - dragging: true, - }, - { - width: 208, - height: 96, - id: "LINSPACE-2ed49441-b754-466d-83ed-a67759f7f6c0", - type: "GENERATORS", - data: { - id: "LINSPACE-2ed49441-b754-466d-83ed-a67759f7f6c0", - label: "LINSPACE", - func: "LINSPACE", - type: "GENERATORS", - ctrls: { - start: { - type: "float", - default: 10, - desc: "The start point of the data.", - overload: null, - functionName: "LINSPACE", - param: "start", - value: 10, - }, - end: { - type: "float", - default: 0, - desc: "The end point of the data.", - overload: null, - functionName: "LINSPACE", - param: "end", - value: 0, - }, - step: { - type: "int", - default: 1000, - desc: "The number of points in the vector.", - overload: null, - functionName: "LINSPACE", - param: "step", - value: 1000, - }, - }, - initCtrls: {}, - inputs: [ - { - name: "default", - id: "default", - type: "Vector|OrderedPair", - multiple: false, - desc: "Optional input in case LINSPACE is used in a loop. Not used.", - }, - ], - outputs: [ - { - name: "default", - id: "default", - type: "Vector", - desc: "v: the vector between start and end with step number of points.", - }, - ], - path: "PYTHON/nodes/GENERATORS/SIMULATIONS/LINSPACE/LINSPACE.py", - selected: false, - }, - position: { - x: -446.6779449770943, - y: 76.62739294025627, - }, - selected: false, - positionAbsolute: { - x: -446.6779449770943, - y: 76.62739294025627, - }, - dragging: true, - }, - { - width: 208, - height: 96, - id: "SINE-d03778f3-2abb-4853-b23f-a1064473cd5a", - type: "GENERATORS", - data: { - id: "SINE-d03778f3-2abb-4853-b23f-a1064473cd5a", - label: "SINE", - func: "SINE", - type: "GENERATORS", - ctrls: { - amplitude: { - type: "float", - default: 1, - desc: "The amplitude of the wave.", - overload: null, - functionName: "SINE", - param: "amplitude", - value: 1, - }, - frequency: { - type: "float", - default: 1, - desc: "The wave frequency in radians/2pi.", - overload: null, - functionName: "SINE", - param: "frequency", - value: 1, - }, - offset: { - type: "float", - default: 0, - desc: "The y axis offset of the function.", - overload: null, - functionName: "SINE", - param: "offset", - value: 0, - }, - phase: { - type: "float", - default: 0, - desc: "The x axis offset of the function.", - overload: null, - functionName: "SINE", - param: "phase", - value: 0, - }, - waveform: { - type: "select", - default: "sine", - options: ["sine", "square", "triangle", "sawtooth"], - desc: "The waveform type of the wave.", - overload: null, - functionName: "SINE", - param: "waveform", - value: "sine", - }, - }, - initCtrls: {}, - inputs: [ - { - name: "default", - id: "default", - type: "OrderedPair|Vector", - multiple: false, - desc: "Input that defines the x axis values of the function and output.", - }, - ], - outputs: [ - { - name: "default", - id: "default", - type: "OrderedPair", - desc: "x: the input v or x values\ny: the resulting sine function", - }, - ], - path: "PYTHON/nodes/GENERATORS/SIMULATIONS/SINE/SINE.py", - selected: false, - }, - position: { - x: -85.39535700781825, - y: -171.4931985718973, - }, - selected: false, - positionAbsolute: { - x: -85.39535700781825, - y: -171.4931985718973, - }, - dragging: true, - }, - { - width: 208, - height: 96, - id: "CONSTANT-ca529c6c-e49c-4e1c-bea7-dd8efa0160df", - type: "GENERATORS", - data: { - id: "CONSTANT-ca529c6c-e49c-4e1c-bea7-dd8efa0160df", - label: "2.0", - func: "CONSTANT", - type: "GENERATORS", - ctrls: { - dc_type: { - type: "select", - default: "OrderedPair", - options: ["Scalar", "Vector", "OrderedPair"], - desc: "The type of DataContainer to return.", - overload: null, - functionName: "CONSTANT", - param: "dc_type", - value: "OrderedPair", - }, - constant: { - type: "float", - default: 3, - desc: "The value of the y axis output.", - overload: null, - functionName: "CONSTANT", - param: "constant", - value: 2, - }, - step: { - type: "float", - default: 1000, - desc: "The size of the y and x axes.", - overload: null, - functionName: "CONSTANT", - param: "step", - value: 1000, - }, - }, - initCtrls: {}, - inputs: [ - { - name: "default", - id: "default", - type: "Vector|OrderedPair", - multiple: false, - desc: "Optional input that defines the size of the output.", - }, - ], - outputs: [ - { - name: "default", - id: "default", - type: "OrderedPair|Vector|Scalar", - desc: null, - }, - ], - path: "PYTHON/nodes/GENERATORS/SIMULATIONS/CONSTANT/CONSTANT.py", - selected: false, - }, - position: { - x: -86.25333493210161, - y: 296.883272865433, - }, - selected: false, - positionAbsolute: { - x: -86.25333493210161, - y: 296.883272865433, - }, - dragging: true, - }, - { - width: 208, - height: 96, - id: "RAND-588a97c2-50df-47ab-98f1-05cd83c017af", - type: "GENERATORS", - data: { - id: "RAND-588a97c2-50df-47ab-98f1-05cd83c017af", - label: "RAND", - func: "RAND", - type: "GENERATORS", - ctrls: { - distribution: { - type: "select", - default: "normal", - options: ["normal", "uniform", "poisson"], - desc: "the distribution over the random samples", - overload: { - uniform: ["lower_bound", "upper_bound"], - normal: ["normal_mean", "normal_standard_deviation"], - poisson: ["poisson_events"], - }, - functionName: "RAND", - param: "distribution", - value: "normal", - }, - lower_bound: { - type: "float", - default: 0, - desc: "the lower bound of the output interval", - overload: null, - functionName: "RAND", - param: "lower_bound", - value: 0, - }, - upper_bound: { - type: "float", - default: 1, - desc: "the upper bound of the output interval", - overload: null, - functionName: "RAND", - param: "upper_bound", - value: 1, - }, - normal_mean: { - type: "float", - default: 0, - desc: 'the mean or "center" of the normal distribution', - overload: null, - functionName: "RAND", - param: "normal_mean", - value: 0, - }, - normal_standard_deviation: { - type: "float", - default: 1, - desc: 'the spread or "width" of the normal distribution', - overload: null, - functionName: "RAND", - param: "normal_standard_deviation", - value: 1, - }, - poisson_events: { - type: "float", - default: 1, - desc: "the expected number of events occurring in a fixed time-interval when distribution is poisson", - overload: null, - functionName: "RAND", - param: "poisson_events", - value: 1, - }, - }, - initCtrls: {}, - inputs: [ - { - name: "default", - id: "default", - type: "Vector|OrderedPair", - multiple: false, - desc: "Optional input to use as the x-axis for the random samples.", - }, - ], - outputs: [ - { - name: "default", - id: "default", - type: "OrderedPair|Scalar", - desc: "OrderedPair if there is an input.\nx: the x-axis of the input\ny: the random samples\n\nScalar if there is no input.\nc: the random number", - }, - ], - path: "PYTHON/nodes/GENERATORS/SIMULATIONS/RAND/RAND.py", - selected: false, - }, - position: { - x: -85.5646100638108, - y: 69.17076331075185, - }, - selected: false, - positionAbsolute: { - x: -85.5646100638108, - y: 69.17076331075185, - }, - dragging: true, - }, - ], - edges: [ - { - source: "ADD-a3c1e32a-5032-4bed-8814-29f803ace0b6", - sourceHandle: "default", - target: "HISTOGRAM-f9483fdf-a2c0-4de2-bda5-8900acba4124", - targetHandle: "default", - id: "reactflow__edge-ADD-a3c1e32a-5032-4bed-8814-29f803ace0b6default-HISTOGRAM-f9483fdf-a2c0-4de2-bda5-8900acba4124default", - }, - { - source: "ADD-a3c1e32a-5032-4bed-8814-29f803ace0b6", - sourceHandle: "default", - target: "SCATTER-55268351-79af-4a28-a22c-d85b261b9681", - targetHandle: "default", - id: "reactflow__edge-ADD-a3c1e32a-5032-4bed-8814-29f803ace0b6default-SCATTER-55268351-79af-4a28-a22c-d85b261b9681default", - }, - { - source: "LINSPACE-2ed49441-b754-466d-83ed-a67759f7f6c0", - sourceHandle: "default", - target: "SINE-d03778f3-2abb-4853-b23f-a1064473cd5a", - targetHandle: "default", - id: "reactflow__edge-LINSPACE-2ed49441-b754-466d-83ed-a67759f7f6c0default-SINE-d03778f3-2abb-4853-b23f-a1064473cd5adefault", - }, - { - source: "SINE-d03778f3-2abb-4853-b23f-a1064473cd5a", - sourceHandle: "default", - target: "ADD-a3c1e32a-5032-4bed-8814-29f803ace0b6", - targetHandle: "a", - id: "reactflow__edge-SINE-d03778f3-2abb-4853-b23f-a1064473cd5adefault-ADD-a3c1e32a-5032-4bed-8814-29f803ace0b6a", - }, - { - source: "LINSPACE-2ed49441-b754-466d-83ed-a67759f7f6c0", - sourceHandle: "default", - target: "CONSTANT-ca529c6c-e49c-4e1c-bea7-dd8efa0160df", - targetHandle: "default", - id: "reactflow__edge-LINSPACE-2ed49441-b754-466d-83ed-a67759f7f6c0default-CONSTANT-ca529c6c-e49c-4e1c-bea7-dd8efa0160dfdefault", - }, - { - source: "CONSTANT-ca529c6c-e49c-4e1c-bea7-dd8efa0160df", - sourceHandle: "default", - target: "ADD-a3c1e32a-5032-4bed-8814-29f803ace0b6", - targetHandle: "b", - id: "reactflow__edge-CONSTANT-ca529c6c-e49c-4e1c-bea7-dd8efa0160dfdefault-ADD-a3c1e32a-5032-4bed-8814-29f803ace0b6b", - }, - { - source: "LINSPACE-2ed49441-b754-466d-83ed-a67759f7f6c0", - sourceHandle: "default", - target: "RAND-588a97c2-50df-47ab-98f1-05cd83c017af", - targetHandle: "default", - id: "reactflow__edge-LINSPACE-2ed49441-b754-466d-83ed-a67759f7f6c0default-RAND-588a97c2-50df-47ab-98f1-05cd83c017afdefault", - }, - { - source: "RAND-588a97c2-50df-47ab-98f1-05cd83c017af", - sourceHandle: "default", - target: "ADD-a3c1e32a-5032-4bed-8814-29f803ace0b6", - targetHandle: "b", - id: "reactflow__edge-RAND-588a97c2-50df-47ab-98f1-05cd83c017afdefault-ADD-a3c1e32a-5032-4bed-8814-29f803ace0b6b", - }, - ], - viewport: { - x: 856.868487733741, - y: 419.9870814920555, - zoom: 0.8906656665301391, - }, -}; +export const NOISY_SINE = + defaultApp.rfInstance as ReactFlowJsonObject; export const EMPTY_CANVAS = { elements: [], diff --git a/src/data/apps/default.json b/src/data/apps/default.json new file mode 100644 index 000000000..139f31b55 --- /dev/null +++ b/src/data/apps/default.json @@ -0,0 +1,551 @@ +{ + "rfInstance": { + "nodes": [ + { + "width": 208, + "height": 96, + "id": "LINSPACE-ebe159de-713e-4ab5-afa6-e06cbb26715c", + "type": "GENERATORS", + "data": { + "id": "LINSPACE-ebe159de-713e-4ab5-afa6-e06cbb26715c", + "label": "LINSPACE", + "func": "LINSPACE", + "type": "GENERATORS", + "ctrls": { + "start": { + "type": "float", + "default": 10, + "desc": "The start point of the data.", + "overload": null, + "functionName": "LINSPACE", + "param": "start", + "value": 10 + }, + "end": { + "type": "float", + "default": 0, + "desc": "The end point of the data.", + "overload": null, + "functionName": "LINSPACE", + "param": "end", + "value": 0 + }, + "step": { + "type": "int", + "default": 1000, + "desc": "The number of points in the vector.", + "overload": null, + "functionName": "LINSPACE", + "param": "step", + "value": 1000 + } + }, + "initCtrls": {}, + "inputs": [ + { + "name": "default", + "id": "default", + "type": "Vector|OrderedPair", + "multiple": false, + "desc": "Optional input in case LINSPACE is used in a loop. Not used." + } + ], + "outputs": [ + { + "name": "default", + "id": "default", + "type": "Vector", + "desc": "v: the vector between 'start' and 'end' with a 'step' number of points." + } + ], + "path": "GENERATORS/SIMULATIONS/LINSPACE/LINSPACE.py", + "selected": false + }, + "position": { + "x": -513.6894109730179, + "y": -34.31814874618388 + }, + "selected": false, + "positionAbsolute": { + "x": -513.6894109730179, + "y": -34.31814874618388 + }, + "dragging": true + }, + { + "width": 208, + "height": 96, + "id": "SINE-fbf734f7-e2d7-476e-8426-ec211dc6fa2d", + "type": "GENERATORS", + "data": { + "id": "SINE-fbf734f7-e2d7-476e-8426-ec211dc6fa2d", + "label": "SINE", + "func": "SINE", + "type": "GENERATORS", + "ctrls": { + "amplitude": { + "type": "float", + "default": 1, + "desc": "The amplitude of the wave.", + "overload": null, + "functionName": "SINE", + "param": "amplitude", + "value": 1 + }, + "frequency": { + "type": "float", + "default": 1, + "desc": "The wave frequency in radians/2pi.", + "overload": null, + "functionName": "SINE", + "param": "frequency", + "value": 1 + }, + "offset": { + "type": "float", + "default": 0, + "desc": "The y axis offset of the function.", + "overload": null, + "functionName": "SINE", + "param": "offset", + "value": 0 + }, + "phase": { + "type": "float", + "default": 0, + "desc": "The x axis offset of the function.", + "overload": null, + "functionName": "SINE", + "param": "phase", + "value": 0 + }, + "waveform": { + "type": "select", + "options": ["sine", "square", "triangle", "sawtooth"], + "default": "sine", + "desc": "The waveform type of the wave.", + "overload": null, + "functionName": "SINE", + "param": "waveform", + "value": "sine" + } + }, + "initCtrls": {}, + "inputs": [ + { + "name": "default", + "id": "default", + "type": "OrderedPair|Vector", + "multiple": false, + "desc": "Input that defines the x-axis values of the function and output." + } + ], + "outputs": [ + { + "name": "default", + "id": "default", + "type": "OrderedPair", + "desc": "x: the input v or x values\ny: the resulting sine function" + } + ], + "path": "GENERATORS/SIMULATIONS/SINE/SINE.py", + "selected": false + }, + "position": { + "x": -100.90816771445483, + "y": -245.52928438997398 + }, + "selected": false, + "positionAbsolute": { + "x": -100.90816771445483, + "y": -245.52928438997398 + }, + "dragging": true + }, + { + "width": 72, + "height": 72, + "id": "ADD-1af9104e-36e1-4af1-a5fd-91d7f9907c0f", + "type": "ARITHMETIC", + "data": { + "id": "ADD-1af9104e-36e1-4af1-a5fd-91d7f9907c0f", + "label": "ADD", + "func": "ADD", + "type": "ARITHMETIC", + "ctrls": {}, + "initCtrls": {}, + "inputs": [ + { + "name": "a", + "id": "a", + "type": "OrderedPair|Scalar|Vector", + "multiple": false, + "desc": "The input a use to compute the sum of a and b." + }, + { + "name": "b", + "id": "b", + "type": "OrderedPair|Scalar|Vector", + "multiple": true, + "desc": "The input b use to compute the sum of a and b." + } + ], + "outputs": [ + { + "name": "default", + "id": "default", + "type": "OrderedPair|Scalar|Vector", + "desc": "OrderedPair if a is an OrderedPair.\nx: the x-axis of input a.\ny: the sum of input a and input b.\n\nScalar if a is a Scalar.\nc: the sum of input a and input b.\n\nVector if a is a Vector.\nv: the sum of input a and input b." + } + ], + "path": "TRANSFORMERS/ARITHMETIC/ADD/ADD.py", + "selected": false + }, + "position": { + "x": 256.6068815988067, + "y": -45.40749374422796 + }, + "selected": false, + "positionAbsolute": { + "x": 256.6068815988067, + "y": -45.40749374422796 + }, + "dragging": true + }, + { + "width": 208, + "height": 96, + "id": "RAND-d743b18c-51e0-4f9b-b84a-e70677a9e259", + "type": "GENERATORS", + "data": { + "id": "RAND-d743b18c-51e0-4f9b-b84a-e70677a9e259", + "label": "RAND", + "func": "RAND", + "type": "GENERATORS", + "ctrls": { + "distribution": { + "type": "select", + "options": ["normal", "uniform", "poisson"], + "default": "normal", + "desc": "the distribution over the random samples", + "overload": { + "uniform": ["size", "lower_bound", "upper_bound"], + "normal": ["size", "normal_mean", "normal_standard_deviation"], + "poisson": ["size", "poisson_events"] + }, + "functionName": "RAND", + "param": "distribution", + "value": "uniform" + }, + "size": { + "type": "int", + "default": 1000, + "desc": "the size of the output. =1 outputs Scalar, >1 outputs Vector", + "overload": null, + "functionName": "RAND", + "param": "size", + "value": 1000 + }, + "lower_bound": { + "type": "float", + "default": 0, + "desc": "the lower bound of the output interval", + "overload": null, + "functionName": "RAND", + "param": "lower_bound", + "value": 0 + }, + "upper_bound": { + "type": "float", + "default": 1, + "desc": "the upper bound of the output interval", + "overload": null, + "functionName": "RAND", + "param": "upper_bound", + "value": 1 + }, + "normal_mean": { + "type": "float", + "default": 0, + "desc": "the mean or \"center\" of the normal distribution", + "overload": null, + "functionName": "RAND", + "param": "normal_mean", + "value": 0 + }, + "normal_standard_deviation": { + "type": "float", + "default": 1, + "desc": "the spread or \"width\" of the normal distribution", + "overload": null, + "functionName": "RAND", + "param": "normal_standard_deviation", + "value": 1 + }, + "poisson_events": { + "type": "float", + "default": 1, + "desc": "the expected number of events occurring in a fixed time-interval when distribution is poisson", + "overload": null, + "functionName": "RAND", + "param": "poisson_events", + "value": 1 + } + }, + "initCtrls": {}, + "inputs": [ + { + "name": "default", + "id": "default", + "type": "Any", + "multiple": false, + "desc": "unused in this node" + } + ], + "outputs": [ + { + "name": "default", + "id": "default", + "type": "Vector|Scalar", + "desc": "Vector if size > 1\nv: the random samples\n\nScalar if size = 1\nc: the random number" + } + ], + "path": "GENERATORS/SIMULATIONS/RAND/RAND.py", + "selected": false + }, + "position": { + "x": -100.80274217060689, + "y": -45.27222713844634 + }, + "selected": false, + "positionAbsolute": { + "x": -100.80274217060689, + "y": -45.27222713844634 + }, + "dragging": true + }, + { + "width": 225, + "height": 226, + "id": "SCATTER-89689f4f-b68a-4c2d-872b-319743ac2b29", + "type": "VISUALIZERS", + "data": { + "id": "SCATTER-89689f4f-b68a-4c2d-872b-319743ac2b29", + "label": "SCATTER", + "func": "SCATTER", + "type": "VISUALIZERS", + "ctrls": {}, + "initCtrls": {}, + "inputs": [ + { + "name": "default", + "id": "default", + "type": "OrderedPair|DataFrame|Matrix|Vector", + "multiple": false, + "desc": "the DataContainer to be visualized" + } + ], + "outputs": [ + { + "name": "default", + "id": "default", + "type": "Plotly", + "desc": "the DataContainer containing the Plotly Scatter visualization" + } + ], + "path": "VISUALIZERS/PLOTLY/SCATTER/SCATTER.py", + "selected": false + }, + "position": { + "x": 461.4885722516857, + "y": 75.87972557461188 + }, + "selected": false, + "positionAbsolute": { + "x": 461.4885722516857, + "y": 75.87972557461188 + }, + "dragging": true + }, + { + "width": 225, + "height": 226, + "id": "HISTOGRAM-bab395a8-bdda-496d-bbe1-fbaa72ab7532", + "type": "VISUALIZERS", + "data": { + "id": "HISTOGRAM-bab395a8-bdda-496d-bbe1-fbaa72ab7532", + "label": "HISTOGRAM", + "func": "HISTOGRAM", + "type": "VISUALIZERS", + "ctrls": {}, + "initCtrls": {}, + "inputs": [ + { + "name": "default", + "id": "default", + "type": "OrderedPair|DataFrame|Matrix|Vector", + "multiple": false, + "desc": "the DataContainer to be visualized" + } + ], + "outputs": [ + { + "name": "default", + "id": "default", + "type": "Plotly", + "desc": "the DataContainer containing the Plotly Histogram visualization" + } + ], + "path": "VISUALIZERS/PLOTLY/HISTOGRAM/HISTOGRAM.py", + "selected": false + }, + "position": { + "x": 452.2609935668222, + "y": -273.29827063189236 + }, + "selected": false, + "positionAbsolute": { + "x": 452.2609935668222, + "y": -273.29827063189236 + }, + "dragging": true + }, + { + "width": 208, + "height": 96, + "id": "CONSTANT-eda9e778-cc79-484c-bec3-feb47786b45b", + "type": "GENERATORS", + "data": { + "id": "CONSTANT-eda9e778-cc79-484c-bec3-feb47786b45b", + "label": "2", + "func": "CONSTANT", + "type": "GENERATORS", + "ctrls": { + "dc_type": { + "type": "select", + "options": ["Scalar", "Vector", "OrderedPair"], + "default": "OrderedPair", + "desc": "The type of DataContainer to return.", + "overload": null, + "functionName": "CONSTANT", + "param": "dc_type", + "value": "OrderedPair" + }, + "constant": { + "type": "float", + "default": 3, + "desc": "The value of the y axis output.", + "overload": null, + "functionName": "CONSTANT", + "param": "constant", + "value": 2 + }, + "step": { + "type": "float", + "default": 1000, + "desc": "The size of the y and x axes.", + "overload": null, + "functionName": "CONSTANT", + "param": "step", + "value": 1000 + } + }, + "initCtrls": {}, + "inputs": [ + { + "name": "default", + "id": "default", + "type": "Vector|OrderedPair", + "multiple": false, + "desc": "Optional input that defines the size of the output." + } + ], + "outputs": [ + { + "name": "default", + "id": "default", + "type": "OrderedPair|Vector|Scalar", + "desc": "OrderedPair if selected\nx: the x axis generated with size 'step'\ny: the resulting constant with size 'step'\nVector if selected\nv: the resulting constant with size 'step'\nScalar if selected\nc: the resulting constant" + } + ], + "path": "GENERATORS/SIMULATIONS/CONSTANT/CONSTANT.py", + "selected": false + }, + "position": { + "x": -102.24510622446512, + "y": 173.9016140556874 + }, + "selected": false, + "positionAbsolute": { + "x": -102.24510622446512, + "y": 173.9016140556874 + }, + "dragging": true + } + ], + "edges": [ + { + "source": "ADD-1af9104e-36e1-4af1-a5fd-91d7f9907c0f", + "sourceHandle": "default", + "target": "HISTOGRAM-bab395a8-bdda-496d-bbe1-fbaa72ab7532", + "targetHandle": "default", + "id": "reactflow__edge-ADD-1af9104e-36e1-4af1-a5fd-91d7f9907c0fdefault-HISTOGRAM-bab395a8-bdda-496d-bbe1-fbaa72ab7532default" + }, + { + "source": "ADD-1af9104e-36e1-4af1-a5fd-91d7f9907c0f", + "sourceHandle": "default", + "target": "SCATTER-89689f4f-b68a-4c2d-872b-319743ac2b29", + "targetHandle": "default", + "id": "reactflow__edge-ADD-1af9104e-36e1-4af1-a5fd-91d7f9907c0fdefault-SCATTER-89689f4f-b68a-4c2d-872b-319743ac2b29default" + }, + { + "source": "SINE-fbf734f7-e2d7-476e-8426-ec211dc6fa2d", + "sourceHandle": "default", + "target": "ADD-1af9104e-36e1-4af1-a5fd-91d7f9907c0f", + "targetHandle": "a", + "id": "reactflow__edge-SINE-fbf734f7-e2d7-476e-8426-ec211dc6fa2ddefault-ADD-1af9104e-36e1-4af1-a5fd-91d7f9907c0fa" + }, + { + "source": "LINSPACE-ebe159de-713e-4ab5-afa6-e06cbb26715c", + "sourceHandle": "default", + "target": "SINE-fbf734f7-e2d7-476e-8426-ec211dc6fa2d", + "targetHandle": "default", + "id": "reactflow__edge-LINSPACE-ebe159de-713e-4ab5-afa6-e06cbb26715cdefault-SINE-fbf734f7-e2d7-476e-8426-ec211dc6fa2ddefault" + }, + { + "source": "LINSPACE-ebe159de-713e-4ab5-afa6-e06cbb26715c", + "sourceHandle": "default", + "target": "RAND-d743b18c-51e0-4f9b-b84a-e70677a9e259", + "targetHandle": "default", + "id": "reactflow__edge-LINSPACE-ebe159de-713e-4ab5-afa6-e06cbb26715cdefault-RAND-d743b18c-51e0-4f9b-b84a-e70677a9e259default" + }, + { + "source": "LINSPACE-ebe159de-713e-4ab5-afa6-e06cbb26715c", + "sourceHandle": "default", + "target": "CONSTANT-eda9e778-cc79-484c-bec3-feb47786b45b", + "targetHandle": "default", + "id": "reactflow__edge-LINSPACE-ebe159de-713e-4ab5-afa6-e06cbb26715cdefault-CONSTANT-eda9e778-cc79-484c-bec3-feb47786b45bdefault" + }, + { + "source": "CONSTANT-eda9e778-cc79-484c-bec3-feb47786b45b", + "sourceHandle": "default", + "target": "ADD-1af9104e-36e1-4af1-a5fd-91d7f9907c0f", + "targetHandle": "b", + "id": "reactflow__edge-CONSTANT-eda9e778-cc79-484c-bec3-feb47786b45bdefault-ADD-1af9104e-36e1-4af1-a5fd-91d7f9907c0fb" + }, + { + "source": "RAND-d743b18c-51e0-4f9b-b84a-e70677a9e259", + "sourceHandle": "default", + "target": "ADD-1af9104e-36e1-4af1-a5fd-91d7f9907c0f", + "targetHandle": "b", + "id": "reactflow__edge-RAND-d743b18c-51e0-4f9b-b84a-e70677a9e259default-ADD-1af9104e-36e1-4af1-a5fd-91d7f9907c0fb" + } + ], + "viewport": { + "x": 794.890585752204, + "y": 473.06911344462077, + "zoom": 0.7998813621131591 + } + }, + "textNodes": [] +} diff --git a/src/data/apps/index.ts b/src/data/apps/index.ts index 98729f139..083e70158 100644 --- a/src/data/apps/index.ts +++ b/src/data/apps/index.ts @@ -15,3 +15,4 @@ export { default as pid } from "./pid.json"; export { default as prophet } from "./prophet.json"; export { default as stepper } from "./stepper.json"; export { default as webcam } from "./webcam.json"; +export { default as defaultApp } from "./default.json"; diff --git a/src/data/apps/loop.json b/src/data/apps/loop.json index fa62eab6e..419523ae9 100644 --- a/src/data/apps/loop.json +++ b/src/data/apps/loop.json @@ -1,4 +1,5 @@ { + "name": "Intro to Loops", "rfInstance": { "nodes": [ { @@ -18,7 +19,7 @@ "desc": "number of times to iterate through body nodes default is `-1` meaning infinity.", "functionName": "LOOP", "param": "num_loops", - "value": "10" + "value": 100 } }, "inputs": [ @@ -201,7 +202,7 @@ "desc": "The value set in Parameters", "functionName": "TEXT", "param": "value", - "value": "Once the LOOP finishes, the branch at the bottom will be executed. This is why I got displayed at the very end!" + "value": "Welcome to Flojoy!" } }, "initCtrls": {}, @@ -226,100 +227,13 @@ "selected": false }, "position": { - "x": 462.92063579563745, - "y": 346.92791668039155 + "x": 681.0366048306719, + "y": 254.80305156239405 }, "selected": false, "positionAbsolute": { - "x": 462.92063579563745, - "y": 346.92791668039155 - }, - "dragging": true - }, - { - "width": 252, - "height": 96, - "id": "TEXT-0d4826da-d548-411f-8b03-bb85829cc0d9", - "type": "GENERATORS", - "data": { - "id": "TEXT-0d4826da-d548-411f-8b03-bb85829cc0d9", - "label": "INTRODUCTION TEXT", - "func": "TEXT", - "type": "GENERATORS", - "ctrls": { - "value": { - "type": "str", - "default": "Hello World!", - "desc": "The value set in Parameters", - "functionName": "TEXT", - "param": "value", - "value": "Welcome to Intro to LOOPS. This app will loop 10 times (you can tune the number of loops by clicking on the LOOP node). The LOOP INDEX will increase by 1 on each iteration, starting from 1 and ending at 10." - } - }, - "initCtrls": {}, - "inputs": [ - { - "name": "_", - "id": "_", - "type": "Any", - "multiple": false, - "desc": null - } - ], - "outputs": [ - { - "name": "default", - "id": "default", - "type": "TextBlob", - "desc": "text_blob: return the value being set in Parameters" - } - ], - "path": "PYTHON/nodes/GENERATORS/SIMULATIONS/TEXT/TEXT.py", - "selected": false - }, - "position": { - "x": -215.98701515748277, - "y": 345.66080725931585 - }, - "selected": false, - "positionAbsolute": { - "x": -215.98701515748277, - "y": 345.66080725931585 - }, - "dragging": true - }, - { - "width": 384, - "height": 288, - "id": "TEXT_VIEW-fab48a76-1789-455d-9234-9906bce73d0f", - "type": "VISUALIZERS", - "data": { - "id": "TEXT_VIEW-fab48a76-1789-455d-9234-9906bce73d0f", - "label": "TEXT VIEW", - "func": "TEXT_VIEW", - "type": "VISUALIZERS", - "ctrls": {}, - "initCtrls": {}, - "inputs": [ - { - "name": "default", - "id": "default", - "type": "TextBlob", - "multiple": false, - "desc": "the DataContainer to be visualized in text format" - } - ], - "path": "PYTHON/nodes/VISUALIZERS/DATA_STRUCTURE/TEXT_VIEW/TEXT_VIEW.py", - "selected": false - }, - "position": { - "x": -61.840394618867094, - "y": 5.632659345445973 - }, - "selected": false, - "positionAbsolute": { - "x": -61.840394618867094, - "y": 5.632659345445973 + "x": 681.0366048306719, + "y": 254.80305156239405 }, "dragging": true }, @@ -348,13 +262,13 @@ "selected": false }, "position": { - "x": 792.7760922414127, - "y": 270.0233059064231 + "x": 984.8263440661215, + "y": 260.51583497453845 }, "selected": false, "positionAbsolute": { - "x": 792.7760922414127, - "y": 270.0233059064231 + "x": 984.8263440661215, + "y": 260.51583497453845 }, "dragging": true } @@ -374,13 +288,6 @@ "targetHandle": "default", "id": "reactflow__edge-LOOP_INDEX-908a6860-ae5a-4be7-bff4-bb92070f526adefault-BIG_NUMBER-ca0dc263-0e3f-4c7e-9a71-50dd014ec851default" }, - { - "source": "TEXT-0d4826da-d548-411f-8b03-bb85829cc0d9", - "sourceHandle": "default", - "target": "TEXT_VIEW-fab48a76-1789-455d-9234-9906bce73d0f", - "targetHandle": "default", - "id": "reactflow__edge-TEXT-0d4826da-d548-411f-8b03-bb85829cc0d9default-TEXT_VIEW-fab48a76-1789-455d-9234-9906bce73d0fdefault" - }, { "source": "TEXT-67502176-5243-47d8-80dd-dc2e582df8cc", "sourceHandle": "default", @@ -394,38 +301,83 @@ "target": "TEXT-67502176-5243-47d8-80dd-dc2e582df8cc", "targetHandle": "_", "id": "reactflow__edge-LOOP-e209afec-0fe8-41e1-a665-d055e0179cc7end-TEXT-67502176-5243-47d8-80dd-dc2e582df8cc_" - }, - { - "source": "TEXT-0d4826da-d548-411f-8b03-bb85829cc0d9", - "sourceHandle": "default", - "target": "LOOP-e209afec-0fe8-41e1-a665-d055e0179cc7", - "targetHandle": "default", - "id": "reactflow__edge-TEXT-0d4826da-d548-411f-8b03-bb85829cc0d9default-LOOP-e209afec-0fe8-41e1-a665-d055e0179cc7default" } ], "viewport": { "x": 596.4078106925898, "y": 284.264848938833, "zoom": 1.1129640394988185 - } + }, + "textNodes": [ + { + "id": "TextNode-8b717d9b-272d-40a6-9dd8-942d6ffc227f", + "position": { + "x": -76.12615774739446, + "y": -211.88790565368888 + }, + "type": "TextNode", + "data": { + "text": "bruhurhalskdjaskljdaklsjd" + }, + "width": 200, + "height": 150, + "selected": false, + "positionAbsolute": { + "x": -76.12615774739446, + "y": -211.88790565368888 + }, + "dragging": false + } + ] }, - "ctrlsManifest": [ + "textNodes": [ { - "type": "input", - "name": "Slider", - "id": "INPUT_PLACEHOLDER", - "hidden": false, - "minHeight": 1, - "minWidth": 2, - "layout": { - "x": 0, - "y": 0, - "h": 2, - "w": 2, - "minH": 1, - "minW": 2, - "i": "INPUT_PLACEHOLDER" + "id": "TextNode-e34c3dd0-e7dc-4db8-a676-8d084d602ce9", + "position": { + "x": -65.39338835160312, + "y": -37.12294141621476 + }, + "type": "TextNode", + "data": { + "text": "## Welcome to Intro to LOOPS. \nThis app will loop 100 times (you can tune the number of loops by clicking on the `LOOP` node). The `LOOP INDEX` will increase by 1 on each iteration, starting from 1 and ending at 100." + }, + "width": 382, + "height": 251, + "selected": false, + "positionAbsolute": { + "x": -65.39338835160312, + "y": -37.12294141621476 + }, + "dragging": false, + "resizing": false, + "style": { + "width": 382, + "height": 251 } + }, + { + "id": "TextNode-51d60b90-4540-4a7b-90fe-b54402c32170", + "position": { + "x": 254.99518765975444, + "y": 328.4872588207919 + }, + "type": "TextNode", + "data": { + "text": "Once the LOOP finishes, the branch at the bottom will be executed. \n\nThis is why \"**Welcome to Flojoy!**\" got displayed at the very end!" + }, + "width": 375, + "height": 182, + "selected": false, + "positionAbsolute": { + "x": 254.99518765975444, + "y": 328.4872588207919 + }, + "dragging": false, + "style": { + "width": 375, + "height": 182 + }, + "resizing": false } ] } diff --git a/src/data/apps/prophet.json b/src/data/apps/prophet.json index df9eed0ec..937214fff 100644 --- a/src/data/apps/prophet.json +++ b/src/data/apps/prophet.json @@ -4,10 +4,10 @@ { "width": 210, "height": 96, - "id": "TIMESERIES-1a5e52b5-927f-4db4-97e4-dbec355de32d", + "id": "TIMESERIES-a1d6d214-26f9-4d55-bba8-45c8e3098a05", "type": "GENERATORS", "data": { - "id": "TIMESERIES-1a5e52b5-927f-4db4-97e4-dbec355de32d", + "id": "TIMESERIES-a1d6d214-26f9-4d55-bba8-45c8e3098a05", "label": "TIMESERIES", "func": "TIMESERIES", "type": "GENERATORS", @@ -15,7 +15,8 @@ "start_date": { "type": "str", "default": "2023-01-01", - "desc": "The start date of the timeseries in the format YYYY:MM:DD.", + "desc": "The start date of the timeseries in the format 'YYYY:MM:DD'.", + "overload": null, "functionName": "TIMESERIES", "param": "start_date", "value": "2023-01-01" @@ -23,7 +24,8 @@ "end_date": { "type": "str", "default": "2023-07-20", - "desc": "The end date of the timeseries in the format YYYY:MM:DD.", + "desc": "The end date of the timeseries in the format 'YYYY:MM:DD'.", + "overload": null, "functionName": "TIMESERIES", "param": "end_date", "value": "2023-07-20" @@ -38,27 +40,27 @@ "desc": "m: the resulting timeseries" } ], - "path": "PYTHON/nodes\\GENERATORS\\SIMULATIONS\\TIMESERIES\\TIMESERIES.py", + "path": "GENERATORS/SIMULATIONS/TIMESERIES/TIMESERIES.py", "selected": false }, "position": { - "x": -410.3431553006602, - "y": -52.85412608012075 + "x": -478.650006310286, + "y": -79.83241037944012 }, "selected": false, "positionAbsolute": { - "x": -410.3431553006602, - "y": -52.85412608012075 + "x": -478.650006310286, + "y": -79.83241037944012 }, "dragging": true }, { "width": 208, "height": 96, - "id": "PROPHET_PREDICT-bf17e862-67c6-4a3a-b49f-9c78a7885d21", + "id": "PROPHET_PREDICT-15fcbe18-dba2-4574-92ac-cd60bcd680cc", "type": "AI_ML", "data": { - "id": "PROPHET_PREDICT-bf17e862-67c6-4a3a-b49f-9c78a7885d21", + "id": "PROPHET_PREDICT-15fcbe18-dba2-4574-92ac-cd60bcd680cc", "label": "PROPHET PREDICT", "func": "PROPHET_PREDICT", "type": "AI_ML", @@ -66,7 +68,8 @@ "run_forecast": { "type": "bool", "default": true, - "desc": "If True (default case), the dataframe of the returning DataContainer\n(\"m\" parameter of the DataContainer) will be the forecasted dataframe.\nIt will also have an \"extra\" field with the key \"original\", which is\nthe original dataframe passed in.\n\nIf False, the returning dataframe will be the original data.\n\nThis node will also always have an \"extra\" field, run_forecast, which\nmatches that of the parameters passed in. This is for future nodes\nto know if a forecast has already been run.\n\nDefault = True", + "desc": "If True (default case), the dataframe of the returning DataContainer\n('m' parameter of the DataContainer) will be the forecasted dataframe.\nIt will also have an 'extra' field with the key 'original', which is\nthe original dataframe passed in.\n\nIf False, the returning dataframe will be the original data.\n\nThis node will also always have an 'extra' field, run_forecast, which\nmatches that of the parameters passed in. This is for future nodes\nto know if a forecast has already been run.\n\nDefault = True", + "overload": null, "functionName": "PROPHET_PREDICT", "param": "run_forecast", "value": true @@ -75,6 +78,7 @@ "type": "int", "default": 365, "desc": "The number of periods to predict out. Only used if run_forecast is True.\nDefault = 365", + "overload": null, "functionName": "PROPHET_PREDICT", "param": "periods", "value": 365 @@ -98,36 +102,37 @@ "desc": "With parameter as df.\nIndicates either the original df passed in, or the forecasted df\n(depending on if run_forecast is True)." } ], - "path": "PYTHON/nodes\\AI_ML\\PREDICT_TIME_SERIES\\PROPHET_PREDICT\\PROPHET_PREDICT.py", + "path": "AI_ML/PREDICT_TIME_SERIES/PROPHET_PREDICT/PROPHET_PREDICT.py", "selected": false }, "position": { - "x": -49.95156682663276, - "y": -38.779822683898544 + "x": -95.33335917381625, + "y": -59.55798137127411 }, "selected": false, "positionAbsolute": { - "x": -49.95156682663276, - "y": -38.779822683898544 + "x": -95.33335917381625, + "y": -59.55798137127411 }, "dragging": true }, { "width": 380, "height": 293, - "id": "PROPHET_COMPONENTS-49dfd02b-460e-4b48-a96c-f38faa6fcefe", + "id": "PROPHET_PLOT-4ccf7f10-a402-4eb6-b858-1ed7c5897abf", "type": "VISUALIZERS", "data": { - "id": "PROPHET_COMPONENTS-49dfd02b-460e-4b48-a96c-f38faa6fcefe", - "label": "PROPHET COMPONENTS", - "func": "PROPHET_COMPONENTS", + "id": "PROPHET_PLOT-4ccf7f10-a402-4eb6-b858-1ed7c5897abf", + "label": "PROPHET PLOT", + "func": "PROPHET_PLOT", "type": "VISUALIZERS", "ctrls": { "periods": { "type": "int", "default": 365, - "desc": "The number of periods out to predict.\nOnly used if the node passed into this node (i.e. PROPHET_PREDICT) did NOT return the forecast.\nIf the forecast was included in the DataContainer, this parameter will be ignored. default is 365", - "functionName": "PROPHET_COMPONENTS", + "desc": "The number of periods out to predict.\nOnly used if the node passed into this node (i.e. PROPHET_PREDICT) did NOT return the forecast.\nIf the forecast was included in the DataContainer, this parameter will be ignored.\n\nDefault = 365", + "overload": null, + "functionName": "PROPHET_PLOT", "param": "periods", "value": 365 } @@ -147,39 +152,40 @@ "name": "default", "id": "default", "type": "Plotly", - "desc": "the DataContainer containing Plotly visualization of the prophet model" + "desc": "the DataContainer containing the Plotly visualization of the prophet model" } ], - "path": "PYTHON/nodes\\VISUALIZERS\\PLOTLY\\PROPHET_COMPONENTS\\PROPHET_COMPONENTS.py", + "path": "VISUALIZERS/PLOTLY/PROPHET_PLOT/PROPHET_PLOT.py", "selected": false }, "position": { - "x": 350.739487885802, - "y": 61.20228238632404 + "x": 341.85399265753915, + "y": -290.80141873502436 }, "selected": false, "positionAbsolute": { - "x": 350.739487885802, - "y": 61.20228238632404 + "x": 341.85399265753915, + "y": -290.80141873502436 }, "dragging": true }, { "width": 380, "height": 293, - "id": "PROPHET_PLOT-c482f921-5c09-43a7-8643-7a8ca7f10c34", + "id": "PROPHET_COMPONENTS-f8e58689-9664-4fe6-82d6-5a0153cec285", "type": "VISUALIZERS", "data": { - "id": "PROPHET_PLOT-c482f921-5c09-43a7-8643-7a8ca7f10c34", - "label": "PROPHET PLOT", - "func": "PROPHET_PLOT", + "id": "PROPHET_COMPONENTS-f8e58689-9664-4fe6-82d6-5a0153cec285", + "label": "PROPHET COMPONENTS", + "func": "PROPHET_COMPONENTS", "type": "VISUALIZERS", "ctrls": { "periods": { "type": "int", "default": 365, "desc": "The number of periods out to predict.\nOnly used if the node passed into this node (i.e. PROPHET_PREDICT) did NOT return the forecast.\nIf the forecast was included in the DataContainer, this parameter will be ignored.\n\nDefault = 365", - "functionName": "PROPHET_PLOT", + "overload": null, + "functionName": "PROPHET_COMPONENTS", "param": "periods", "value": 365 } @@ -199,51 +205,52 @@ "name": "default", "id": "default", "type": "Plotly", - "desc": "the DataContainer containing Plotly visualization of the prophet model" + "desc": "the DataContainer containing the Plotly visualization of the prophet model" } ], - "path": "PYTHON/nodes\\VISUALIZERS\\PLOTLY\\PROPHET_PLOT\\PROPHET_PLOT.py", + "path": "VISUALIZERS/PLOTLY/PROPHET_COMPONENTS/PROPHET_COMPONENTS.py", "selected": false }, "position": { - "x": 360.76584864518634, - "y": -315.5443598776949 + "x": 331.9130203676435, + "y": 66.77700932568604 }, "selected": false, "positionAbsolute": { - "x": 360.76584864518634, - "y": -315.5443598776949 + "x": 331.9130203676435, + "y": 66.77700932568604 }, "dragging": true } ], "edges": [ { - "source": "TIMESERIES-1a5e52b5-927f-4db4-97e4-dbec355de32d", + "source": "TIMESERIES-a1d6d214-26f9-4d55-bba8-45c8e3098a05", "sourceHandle": "default", - "target": "PROPHET_PREDICT-bf17e862-67c6-4a3a-b49f-9c78a7885d21", + "target": "PROPHET_PREDICT-15fcbe18-dba2-4574-92ac-cd60bcd680cc", "targetHandle": "default", - "id": "reactflow__edge-TIMESERIES-1a5e52b5-927f-4db4-97e4-dbec355de32ddefault-PROPHET_PREDICT-bf17e862-67c6-4a3a-b49f-9c78a7885d21default" + "id": "reactflow__edge-TIMESERIES-a1d6d214-26f9-4d55-bba8-45c8e3098a05default-PROPHET_PREDICT-15fcbe18-dba2-4574-92ac-cd60bcd680ccdefault" }, { - "source": "PROPHET_PREDICT-bf17e862-67c6-4a3a-b49f-9c78a7885d21", + "source": "PROPHET_PREDICT-15fcbe18-dba2-4574-92ac-cd60bcd680cc", "sourceHandle": "default", - "target": "PROPHET_PLOT-c482f921-5c09-43a7-8643-7a8ca7f10c34", + "target": "PROPHET_PLOT-4ccf7f10-a402-4eb6-b858-1ed7c5897abf", "targetHandle": "default", - "id": "reactflow__edge-PROPHET_PREDICT-bf17e862-67c6-4a3a-b49f-9c78a7885d21default-PROPHET_PLOT-c482f921-5c09-43a7-8643-7a8ca7f10c34default" + "id": "reactflow__edge-PROPHET_PREDICT-15fcbe18-dba2-4574-92ac-cd60bcd680ccdefault-PROPHET_PLOT-4ccf7f10-a402-4eb6-b858-1ed7c5897abfdefault" }, { - "source": "PROPHET_PREDICT-bf17e862-67c6-4a3a-b49f-9c78a7885d21", + "source": "PROPHET_PREDICT-15fcbe18-dba2-4574-92ac-cd60bcd680cc", "sourceHandle": "default", - "target": "PROPHET_COMPONENTS-49dfd02b-460e-4b48-a96c-f38faa6fcefe", + "target": "PROPHET_COMPONENTS-f8e58689-9664-4fe6-82d6-5a0153cec285", "targetHandle": "default", - "id": "reactflow__edge-PROPHET_PREDICT-bf17e862-67c6-4a3a-b49f-9c78a7885d21default-PROPHET_COMPONENTS-49dfd02b-460e-4b48-a96c-f38faa6fcefedefault" + "id": "reactflow__edge-PROPHET_PREDICT-15fcbe18-dba2-4574-92ac-cd60bcd680ccdefault-PROPHET_COMPONENTS-f8e58689-9664-4fe6-82d6-5a0153cec285default" } ], "viewport": { - "x": 668.149331293115, - "y": 328.3535364392434, - "zoom": 0.6963386120144724 + "x": 765.1858867051692, + "y": 413.62735055330904, + "zoom": 0.853379691098732 } - } + }, + "textNodes": [] } diff --git a/src/data/constants.ts b/src/data/constants.ts index 63a119801..c2ebbde35 100644 --- a/src/data/constants.ts +++ b/src/data/constants.ts @@ -1,5 +1,5 @@ export const BACKEND_DEFAULT_PORT = 5392; -export const NODES_REPO = "https://github.com/flojoy-ai/nodes/blob/main"; +export const BLOCKS_REPO = "https://github.com/flojoy-ai/blocks/blob/main"; export const DOCS_LINK = "https://docs.flojoy.ai"; const BACKEND_HOST = process.env.VITE_SOCKET_HOST || "127.0.0.1"; const BACKEND_PORT = process.env.VITE_BACKEND_PORT diff --git a/src/feature/command/CommandMenu.tsx b/src/feature/command/CommandMenu.tsx index d0b9b1c88..e87c32369 100644 --- a/src/feature/command/CommandMenu.tsx +++ b/src/feature/command/CommandMenu.tsx @@ -8,12 +8,7 @@ import { CommandSeparator, } from "@/components/ui/command"; import useKeyboardShortcut from "@src/hooks/useKeyboardShortcut"; -import { - TreeNode, - isLeaf, - isRoot, - isLeafParentNode, -} from "@src/utils/ManifestLoader"; +import { TreeNode, isLeaf, isRoot } from "@src/utils/ManifestLoader"; import React, { Fragment } from "react"; const commandGroups = ( @@ -29,17 +24,29 @@ const commandGroups = ( ); - if (!isRoot(node) && !isLeafParentNode(node)) + if (isRoot(node)) return ( - - - {node.children?.map((c: TreeNode) => commandGroups(c, onSelect))} - - + + {node.children?.map((childNode, index, array) => { + return ( + + {commandGroups(childNode, onSelect)} + {index !== array.length - 1 && } + + ); + })} ); - return node.children?.map((c: TreeNode) => commandGroups(c, onSelect)); + return ( + + + {node.children?.map((childNode: TreeNode) => + commandGroups(childNode, onSelect), + )} + + + ); }; export const CommandMenu = ({ diff --git a/src/feature/common/Layout.tsx b/src/feature/common/Layout.tsx index ebcf308e6..b7b160492 100644 --- a/src/feature/common/Layout.tsx +++ b/src/feature/common/Layout.tsx @@ -10,6 +10,9 @@ import { Toaster } from "sonner"; import { useTheme } from "@src/providers/themeProvider"; import { useEffect } from "react"; import { IServerStatus } from "@src/context/socket.context"; +import Logs from "../logs/Logs"; +import useElectronLogs from "@src/hooks/useElectronLogs"; +import ElectronLogsDialog from "@src/components/electron/ElectronLogsDialog"; export const HEADER_HEIGHT = 72; export const ACTIONS_HEIGHT = 56; @@ -20,8 +23,10 @@ export const LAYOUT_TOP_HEIGHT = export const Layout = () => { const { - states: { serverStatus }, + states: { serverStatus, logs }, } = useSocket(); + const { title, description, openDialog, setOpenDialog, outputs } = + useElectronLogs(); const [project, setProject] = useAtom(projectAtom); const { hasUnsavedChanges, setHasUnsavedChanges } = useHasUnsavedChanges(); @@ -76,6 +81,14 @@ export const Layout = () => {
+ +
diff --git a/src/feature/common/PreJobOperationDialog.tsx b/src/feature/common/PreJobOperationDialog.tsx deleted file mode 100644 index 7b4616e63..000000000 --- a/src/feature/common/PreJobOperationDialog.tsx +++ /dev/null @@ -1,60 +0,0 @@ -import { - Dialog, - DialogContent, - DialogDescription, - DialogHeader, - DialogTitle, -} from "@src/components/ui/dialog"; -import { cn } from "@src/lib/utils"; -import { useEffect, useRef } from "react"; - -type PreJobOperationDialogProps = { - open: boolean; - setOpen: (open: boolean) => void; - title?: string; - description?: string; - outputs: string[]; -}; - -const PreJobOperationDialog = ({ - open, - setOpen, - outputs, - title, - description, -}: PreJobOperationDialogProps) => { - const lastElem = useRef(null); - - useEffect(() => { - if (lastElem.current?.scrollIntoView) { - lastElem.current.scrollIntoView({ behavior: "smooth" }); - } - }, [outputs.length]); - - return ( - - - - {title} - {description} - - {outputs.map((output, i) => ( -
- {output} -
- ))} - - - ); -}; - -export default PreJobOperationDialog; diff --git a/src/feature/common/Sidebar/SidebarNode.tsx b/src/feature/common/Sidebar/SidebarNode.tsx index 9aba3a86b..92d31e63a 100644 --- a/src/feature/common/Sidebar/SidebarNode.tsx +++ b/src/feature/common/Sidebar/SidebarNode.tsx @@ -30,12 +30,13 @@ export const sidebarVariants = cva(undefined, { export const categoryMap = { AI_ML: "DATA", - GENERATORS: "DATA", + DATA: "DATA", VISUALIZERS: "DATA", - LOADERS: "ETL", - TRANSFORMERS: "ETL", - IO: "IO", - LOGIC_GATES: "LOGIC", + DSP: "ETL", + MATH: "ETL", + DEBUGGING: "ETL", + HARDWARE: "IO", + CONTROL_FLOW: "LOGIC", NUMPY: "AUTOGEN", SCIPY: "AUTOGEN", SKLEARN: "AUTOGEN", diff --git a/src/feature/common/types/ParamValueType.ts b/src/feature/common/types/ParamValueType.ts index 6c192637e..98819e6b4 100644 --- a/src/feature/common/types/ParamValueType.ts +++ b/src/feature/common/types/ParamValueType.ts @@ -15,4 +15,5 @@ export type ParamValueType = | "CameraConnection" | "SerialConnection" | "VisaConnection" + | "File" | "unknown"; diff --git a/src/feature/flow_chart_panel/FlowChartTabView.tsx b/src/feature/flow_chart_panel/FlowChartTabView.tsx index 104b27fa9..3aad144ae 100644 --- a/src/feature/flow_chart_panel/FlowChartTabView.tsx +++ b/src/feature/flow_chart_panel/FlowChartTabView.tsx @@ -17,6 +17,7 @@ import { ReactFlow, ReactFlowProvider, Controls, + Node, addEdge, applyEdgeChanges, applyNodeChanges, @@ -52,6 +53,10 @@ import { TooltipTrigger, } from "@/components/ui/tooltip"; import { useManifest, useNodesMetadata } from "@src/hooks/useManifest"; +import { ElementsData } from "@src/types"; +import { createNodeId, createNodeLabel } from "@src/utils/NodeUtils"; +import useKeyboardShortcut from "@src/hooks/useKeyboardShortcut"; +import { filterMap } from "@src/utils/ArrayUtils"; const FlowChartTab = () => { const [isGalleryOpen, setIsGalleryOpen] = useState(false); @@ -85,9 +90,11 @@ const FlowChartTab = () => { const nodesMetadataMap = useNodesMetadata(); const manifest = useManifest(); - const getNodeFuncCount = useCallback( + const getTakenNodeLabels = useCallback( (func: string) => { - return nodes.filter((n) => n.data.func === func).length; + const re = new RegExp(`^${func.replaceAll("_", " ")}( \\d+)?$`); + const matches = filterMap(nodes, (n) => n.data.label.match(re)); + return matches; }, // including nodes variable in dependency list would cause excessive re-renders // as nodes variable is updated so frequently @@ -99,11 +106,55 @@ const FlowChartTab = () => { const addNewNode = useAddNewNode( setNodes, - getNodeFuncCount, + getTakenNodeLabels, nodesMetadataMap, ); const addTextNode = useAddTextNode(); + const duplicateNode = (node: Node) => { + const funcName = node.data.func; + const id = createNodeId(funcName); + + const newNode: Node = { + ...node, + id, + data: { + ...node.data, + id, + label: + node.data.func === "CONSTANT" + ? node.data.ctrls["constant"].value!.toString() + : createNodeLabel(funcName, getTakenNodeLabels(funcName)), + }, + position: { + x: node.position.x + 30, + y: node.position.y + 30, + }, + selected: true, + }; + + setNodes((prev) => { + const original = prev.find((n) => node.id === n.id); + if (!original) { + throw new Error( + "Failed to find original node when duplicating, this should not happen", + ); + } + + original.selected = false; + prev.push(newNode); + }); + }; + + const duplicateSelectedNode = useCallback(() => { + if (selectedNode) { + duplicateNode(selectedNode); + } + }, [selectedNode]); + + useKeyboardShortcut("ctrl", "d", duplicateSelectedNode); + useKeyboardShortcut("meta", "d", duplicateSelectedNode); + const toggleSidebar = useCallback( () => setIsSidebarOpen((prev) => !prev), [setIsSidebarOpen], @@ -139,6 +190,7 @@ const FlowChartTab = () => { }); setProject({ ...project, rfInstance: rfIns.toObject() }); }; + const handleNodeDrag: NodeDragHandler = (_, node) => { setNodes((nodes) => { const nodeIndex = nodes.findIndex((el) => el.id === node.id); @@ -146,6 +198,7 @@ const FlowChartTab = () => { setHasUnsavedChanges(true); }); }; + const onNodesChange: OnNodesChange = useCallback( (changes) => { setNodes((ns) => applyNodeChanges(changes, ns)); @@ -153,6 +206,7 @@ const FlowChartTab = () => { }, [setNodes, setTextNodes], ); + const onEdgesChange: OnEdgesChange = useCallback( (changes) => { sendEventToMix("Edges Changed", ""); @@ -163,6 +217,7 @@ const FlowChartTab = () => { }, [setEdges, setHasUnsavedChanges], ); + const onConnect: OnConnect = useCallback( (connection) => setEdges((eds) => { @@ -179,6 +234,7 @@ const FlowChartTab = () => { }), [setEdges, manifest], ); + const handleNodesDelete: OnNodesDelete = useCallback( (nodes) => { nodes.forEach((node) => { @@ -234,13 +290,13 @@ const FlowChartTab = () => { Try Ctrl/Cmd + K diff --git a/src/feature/flow_chart_panel/components/node-edit-menu/ParamField.tsx b/src/feature/flow_chart_panel/components/node-edit-menu/ParamField.tsx index a1cff9916..fcbd9bcf7 100644 --- a/src/feature/flow_chart_panel/components/node-edit-menu/ParamField.tsx +++ b/src/feature/flow_chart_panel/components/node-edit-menu/ParamField.tsx @@ -15,6 +15,7 @@ import { useHasUnsavedChanges } from "@src/hooks/useHasUnsavedChanges"; import { CameraSelect } from "./CameraSelect"; import { SerialDeviceSelect } from "./SerialDeviceSelect"; import { VisaDeviceSelect } from "./VisaDeviceSelect"; +import { Button } from "@/components/ui/button"; type ParamFieldProps = { nodeId: string; @@ -120,6 +121,37 @@ const ParamField = ({ ); + case "File": + return ( +
+ handleChange(e.target.value)} + value={value as string} + /> + +
+ ); + case "CameraDevice": case "CameraConnection": return ; diff --git a/src/feature/flow_chart_panel/hooks/useAddNewNode.tsx b/src/feature/flow_chart_panel/hooks/useAddNewNode.tsx index 58a120f9e..eac7eef67 100644 --- a/src/feature/flow_chart_panel/hooks/useAddNewNode.tsx +++ b/src/feature/flow_chart_panel/hooks/useAddNewNode.tsx @@ -2,14 +2,14 @@ import { Leaf as NodeElement } from "@src/utils/ManifestLoader"; import { Draft } from "immer"; import { useCallback } from "react"; import { Node } from "reactflow"; -import { v4 as uuidv4 } from "uuid"; import { ElementsData } from "@/types"; import { sendEventToMix } from "@src/services/MixpanelServices"; import { centerPositionAtom } from "@src/hooks/useFlowChartState"; import { useAtomValue, useSetAtom } from "jotai"; import { unsavedChangesAtom } from "@src/hooks/useHasUnsavedChanges"; import { addRandomPositionOffset } from "@src/utils/RandomPositionOffset"; -import { NodesMetadataMap } from "@src/types/nodes-metadata"; +import { BlocksMetadataMap } from "@src/types/blocks-metadata"; +import { createNodeId, createNodeLabel } from "@src/utils/NodeUtils"; export type AddNewNode = (node: NodeElement) => void; @@ -19,8 +19,8 @@ export const useAddNewNode = ( | Node[] | ((draft: Draft>[]) => void), ) => void, - getNodeFuncCount: (func: string) => number, - nodesMetadataMap: NodesMetadataMap | null, + getTakenNodeLabels: (func: string) => string[][], + nodesMetadataMap: BlocksMetadataMap | null, ) => { const center = useAtomValue(centerPositionAtom); const setHasUnsavedChanges = useSetAtom(unsavedChangesAtom); @@ -40,16 +40,12 @@ export const useAddNewNode = ( const path = nodesMetadataMap ? nodesMetadataMap[`${funcName}.py`].path : ""; - let nodeLabel: string; - const nodeId = `${funcName}-${uuidv4()}`; - if (funcName === "CONSTANT") { - nodeLabel = "3.0"; - } else { - const numNodes = getNodeFuncCount(funcName); - nodeLabel = numNodes > 0 ? `${funcName} ${numNodes}` : funcName; - } - nodeLabel = nodeLabel.replaceAll("_", " "); + const nodeId = createNodeId(node.key); + const nodeLabel = + funcName === "CONSTANT" + ? params!["constant"].default!.toString() + : createNodeLabel(node.key, getTakenNodeLabels(funcName)); const createCtrls = ( params?: NodeElement["parameters"], @@ -98,7 +94,7 @@ export const useAddNewNode = ( }, [ setNodes, - getNodeFuncCount, + getTakenNodeLabels, center, setHasUnsavedChanges, nodesMetadataMap, diff --git a/src/feature/flow_chart_panel/views/ControlBar.tsx b/src/feature/flow_chart_panel/views/ControlBar.tsx index 8dbdcb854..4721f4af4 100644 --- a/src/feature/flow_chart_panel/views/ControlBar.tsx +++ b/src/feature/flow_chart_panel/views/ControlBar.tsx @@ -29,11 +29,11 @@ const ControlBar = () => { const [isEditorSettingsOpen, setIsEditorSettingsOpen] = useState(false); const { resolvedTheme } = useTheme(); - const handleUpdateNodesPack = () => { - window.api.updateNodesPack(); + const handleUpdateBlocksPack = () => { + window.api.updateBlocksPack(); }; const handleChangeNodesPath = () => { - window.api.updateNodesResourcePath(); + window.api.updateBlocksResourcePath(); }; useEffect(() => { @@ -138,19 +138,19 @@ const ControlBar = () => { > Node Settings - {"api" in window && window.api.isPackaged && ( + {"api" in window && ( <> - Change Nodes resource path + Change blocks resource path - Update Nodes resource pack + Update blocks resource pack )} diff --git a/src/feature/flow_chart_panel/views/ControlBar/SaveButtons.tsx b/src/feature/flow_chart_panel/views/ControlBar/SaveButtons.tsx index 2b009c38c..94eb6a02a 100644 --- a/src/feature/flow_chart_panel/views/ControlBar/SaveButtons.tsx +++ b/src/feature/flow_chart_panel/views/ControlBar/SaveButtons.tsx @@ -19,14 +19,14 @@ export const SaveButton = () => { }; export const SaveAsButton = () => { - const { nodes, edges } = useFlowChartGraph(); + const { nodes, edges, textNodes } = useFlowChartGraph(); const { setHasUnsavedChanges } = useHasUnsavedChanges(); const setProjectPath = useSetAtom(projectPathAtom); const project = useAtomValue(projectAtom); const handleSave = async () => { try { - const path = await saveFileAs(project, nodes, edges); + const path = await saveFileAs(project, nodes, edges, textNodes); setProjectPath(path); setHasUnsavedChanges(false); diff --git a/src/feature/flow_chart_panel/views/NodeModal.tsx b/src/feature/flow_chart_panel/views/NodeModal.tsx index 9f208a30f..f7008acdf 100644 --- a/src/feature/flow_chart_panel/views/NodeModal.tsx +++ b/src/feature/flow_chart_panel/views/NodeModal.tsx @@ -4,7 +4,7 @@ import json from "react-syntax-highlighter/dist/cjs/languages/hljs/json"; import { JSONTree } from "react-json-tree"; import { Node } from "reactflow"; import { flojoySyntaxTheme } from "@src/assets/FlojoyTheme"; -import { NODES_REPO, DOCS_LINK } from "@src/data/constants"; +import { BLOCKS_REPO, DOCS_LINK } from "@src/data/constants"; import PlotlyComponent from "@src/components/plotly/PlotlyComponent"; import { makePlotlyData } from "@src/components/plotly/formatPlotlyData"; import MarkDownText from "@src/components/common/MarkDownText"; @@ -63,9 +63,9 @@ const NodeModal = ({ }: NodeModalProps) => { const { resolvedTheme } = useTheme(); - const path = nodeFilePath.replace("\\", "/").replace("PYTHON/nodes/", ""); + const path = nodeFilePath.replace(/"\\"/g, "/"); - const link = `${NODES_REPO}/${path}`; + const link = `${BLOCKS_REPO}/blocks/${path}`; const docsLink = `${DOCS_LINK}/nodes/${path .split("/") diff --git a/src/feature/loading/LoadingPage.tsx b/src/feature/loading/LoadingPage.tsx index a5c51629a..a30cd77f8 100644 --- a/src/feature/loading/LoadingPage.tsx +++ b/src/feature/loading/LoadingPage.tsx @@ -1,14 +1,24 @@ import { IServerStatus } from "@src/context/socket.context"; import { useSocket } from "@src/hooks/useSocket"; import { Variants, motion } from "framer-motion"; -import { useEffect } from "react"; +import { useEffect, useState } from "react"; import { useNavigate } from "react-router-dom"; +import { CheckCircle, ChevronRight, XCircle } from "lucide-react"; +import ElectronLogsDialog from "@src/components/electron/ElectronLogsDialog"; +import { Button } from "@src/components/ui/button"; +import useElectronLogs from "@src/hooks/useElectronLogs"; const LoadingPage = () => { const { states: { serverStatus }, } = useSocket(); const navigate = useNavigate(); + const { title, description, outputs } = useElectronLogs(); + const [openFullLogs, setOpenFullLogs] = useState(false); + + const handleShowFullLogs = () => { + setOpenFullLogs(true); + }; useEffect(() => { if ( @@ -20,10 +30,41 @@ const LoadingPage = () => { return (
- -
- -
Loading...
+ {outputs.length > 0 ? ( +
+ +
+ +
+
+ ) : ( + <> + +
+
+ Waiting for the backend connection... +
+ + )} +
); }; @@ -65,3 +106,81 @@ const BarLoader = () => { }; export default LoadingPage; + +interface SpinningWheelProps { + logs: string[]; + title?: string; + description?: string; +} + +const CompletedLog = ({ log }: { log: string }) => ( +
  • + + {log.length > 90 ? `${log.slice(0, 90)}...` : log} +
    • +); +const ErrorLog = ({ log }: { log: string }) => ( +
  • + + {log.length > 90 ? `${log.slice(0, 90)}...` : log} +
    • +); +const RunningLog = ({ log }: { log: string }) => ( +
  • +
    + + + + +
    + {log.length > 90 ? `${log.slice(0, 90)}...` : log} +
    • +); + +const SpinningWheel = ({ logs, title, description }: SpinningWheelProps) => { + const infoLogs = logs + .filter((log) => log.includes(":info:")) + .map((log) => log.replaceAll(":info:", "")); + const errorFound = logs.find((log) => log.toLowerCase().includes("error")); + return ( +
    +

    +
    +
    +
    + {title} +

    +

    {description}

    +
      + {infoLogs.length > 2 && ( + + )} + {infoLogs.length > 1 && ( + + )} + {infoLogs.length > 0 && + (errorFound ? ( + + ) : ( + + ))} +
    +
    + ); +}; diff --git a/src/feature/logs/Logs.tsx b/src/feature/logs/Logs.tsx new file mode 100644 index 000000000..fe7a54e57 --- /dev/null +++ b/src/feature/logs/Logs.tsx @@ -0,0 +1,68 @@ +import { useEffect, useRef, useState } from "react"; +import { LAYOUT_TOP_HEIGHT } from "../common/Layout"; +import { cn } from "@src/lib/utils"; +import { Button } from "@src/components/ui/button"; +import { ChevronsUp, ChevronsDown } from "lucide-react"; + +const Logs = ({ logs }: { logs: string[] }) => { + const [minimize, setMinimize] = useState(true); + const lastElem = useRef(null); + + useEffect(() => { + if (lastElem.current?.scrollIntoView) { + if (!minimize) { + lastElem.current.scrollIntoView({ behavior: "smooth" }); + } + } + }, [minimize, logs?.length]); + return ( +
    +
    +
    + +
    +
    + {logs.map((log, i) => ( +
    + {log} +
    + ))} +
    +
    +
    + ); +}; + +export default Logs; diff --git a/src/hooks/useElectronLogs.ts b/src/hooks/useElectronLogs.ts new file mode 100644 index 000000000..e0d45cfdd --- /dev/null +++ b/src/hooks/useElectronLogs.ts @@ -0,0 +1,41 @@ +import { useEffect, useState } from "react"; + +const useElectronLogs = () => { + const [openDialog, setOpenDialog] = useState(false); + const [title, setTitle] = useState(""); + const [description, setDescription] = useState(); + const [outputs, setOutputs] = useState([]); + + useEffect(() => { + // Subscribe to electron logs + window.api?.subscribeToElectronLogs((data) => { + if (typeof data === "string") { + setOpenDialog(true); + setOutputs((p) => [...p, data]); + return; + } + if (typeof data === "object" && data !== null) { + setOpenDialog(data.open); + if (data.title) { + setTitle(data.title); + } + if (data.description) { + setDescription(data.description); + } + if (data.clear) { + setOutputs([]); + } else { + setOutputs((p) => [...p, data.output]); + } + } + }); + }, []); + return { + title, + description, + outputs, + openDialog, + setOpenDialog, + }; +}; +export default useElectronLogs; diff --git a/src/hooks/useFlowChartGraph.ts b/src/hooks/useFlowChartGraph.ts index 7ca900809..7d012f2ac 100644 --- a/src/hooks/useFlowChartGraph.ts +++ b/src/hooks/useFlowChartGraph.ts @@ -40,6 +40,7 @@ export const useFlowChartGraph = () => { if (!flow) { return false; } + setNodes(flow.nodes || []); setEdges(flow.edges || []); if (textNodes) { diff --git a/src/hooks/useManifest.ts b/src/hooks/useManifest.ts index 92bc2c13d..c33123c59 100644 --- a/src/hooks/useManifest.ts +++ b/src/hooks/useManifest.ts @@ -1,5 +1,8 @@ -import { getManifest, getNodesMetadata } from "@src/services/FlowChartServices"; -import { NodesMetadataMap } from "@src/types/nodes-metadata"; +import { + getManifest, + getBlocksMetadata, +} from "@src/services/FlowChartServices"; +import { BlocksMetadataMap } from "@src/types/blocks-metadata"; import { RootNode } from "@src/utils/ManifestLoader"; import { atom, useAtomValue, useSetAtom } from "jotai"; import { useCallback } from "react"; @@ -18,14 +21,14 @@ export const useFetchManifest = () => { export const useManifest = () => useAtomValue(manifestAtom); -const nodesMetadataMapAtom = atom(null); +const nodesMetadataMapAtom = atom(null); export const useFetchNodesMetadata = () => { const setNodesMetadata = useSetAtom(nodesMetadataMapAtom); return useCallback(async () => { setNodesMetadata(null); - const manifest = await getNodesMetadata(); + const manifest = await getBlocksMetadata(); setNodesMetadata(manifest); }, [setNodesMetadata]); }; diff --git a/src/hooks/useSave.ts b/src/hooks/useSave.ts index 92d8882ef..c74a3a0e9 100644 --- a/src/hooks/useSave.ts +++ b/src/hooks/useSave.ts @@ -7,7 +7,7 @@ import { makeAppFileContent, saveFileAs } from "@src/lib/save"; import { sendEventToMix } from "@src/services/MixpanelServices"; export const useSave = () => { - const { nodes, edges } = useFlowChartGraph(); + const { nodes, edges, textNodes } = useFlowChartGraph(); const { setHasUnsavedChanges } = useHasUnsavedChanges(); const project = useAtomValue(projectAtom); const [projectPath, setProjectPath] = useAtom(projectPathAtom); @@ -15,7 +15,7 @@ export const useSave = () => { const handleSave = async () => { if (projectPath && "api" in window) { sendEventToMix("Saving Project", ``); - const fileContent = makeAppFileContent(project, nodes, edges); + const fileContent = makeAppFileContent(project, nodes, edges, textNodes); window.api.saveFile(projectPath, fileContent); toast.success("App saved!"); @@ -23,7 +23,7 @@ export const useSave = () => { return; } try { - const path = await saveFileAs(project, nodes, edges); + const path = await saveFileAs(project, nodes, edges, textNodes); setProjectPath(path); const message = path diff --git a/src/lib/save.ts b/src/lib/save.ts index f2b79d2a0..28a91c51f 100644 --- a/src/lib/save.ts +++ b/src/lib/save.ts @@ -1,5 +1,6 @@ import { Project } from "@src/hooks/useFlowChartState"; import { ElementsData } from "@src/types"; +import { TextData } from "@src/types/node"; import saveAs from "file-saver"; import { Node, Edge } from "reactflow"; @@ -7,6 +8,7 @@ export const makeAppFileContent = ( project: Project, nodes: Node[], edges: Edge[], + textNodes: Node[], ) => { const fileContent = { ...project, @@ -15,6 +17,7 @@ export const makeAppFileContent = ( nodes, edges, }, + textNodes, }; return JSON.stringify(fileContent, undefined, 4); }; @@ -23,12 +26,13 @@ export const saveFileAs = async ( project: Project, nodes: Node[], edges: Edge[], + textNodes: Node[], ): Promise => { if (!project.rfInstance) { throw new Error("Could not find flow chart instance to save"); } - const fileContent = makeAppFileContent(project, nodes, edges); + const fileContent = makeAppFileContent(project, nodes, edges, textNodes); const basename = project.name ?.split(" ") diff --git a/src/services/FlowChartServices.ts b/src/services/FlowChartServices.ts index 4bd58d2a1..166b14e4c 100644 --- a/src/services/FlowChartServices.ts +++ b/src/services/FlowChartServices.ts @@ -5,7 +5,7 @@ import { Result } from "@src/types/result"; import { baseClient } from "@src/lib/base-client"; import { RootNode, validateRootSchema } from "@src/utils/ManifestLoader"; import { toast } from "sonner"; -import { NodesMetadataMap } from "@src/types/nodes-metadata"; +import { BlocksMetadataMap } from "@src/types/blocks-metadata"; // Note that you have to update the nodes/edges of the // flow chart instance manually before calling these functions. @@ -89,11 +89,11 @@ export async function getDeviceInfo() { export const getManifest = async () => { try { - const res = await baseClient.get("nodes/manifest"); + const res = await baseClient.get("blocks/manifest"); // TODO: fix zod schema to accept io directory structure const validateResult = validateRootSchema(res.data); if (!validateResult.success) { - toast.message(`Failed to validate nodes manifest!`, { + toast.message(`Failed to validate blocks manifest!`, { duration: 20000, description: "Check browser console for more info.", }); @@ -102,7 +102,7 @@ export const getManifest = async () => { return res.data as RootNode; // eslint-disable-next-line @typescript-eslint/no-explicit-any } catch (err: any) { - const errTitle = "Failed to generate nodes manifest!"; + const errTitle = "Failed to generate blocks manifest!"; const errDescription = `${err.response?.data?.error ?? err.message}`; toast.message(errTitle, { @@ -113,14 +113,14 @@ export const getManifest = async () => { } }; -export const getNodesMetadata = async () => { +export const getBlocksMetadata = async () => { try { - const res = await baseClient.get("nodes/metadata"); - return res.data as NodesMetadataMap; + const res = await baseClient.get("blocks/metadata"); + return res.data as BlocksMetadataMap; // eslint-disable-next-line @typescript-eslint/no-explicit-any } catch (err: any) { - toast.message("Failed to generate nodes metadata", { + toast.message("Failed to generate blocks metadata", { description: err.response?.data?.error ?? err.message, }); return null; diff --git a/src/types/nodes-metadata.ts b/src/types/blocks-metadata.ts similarity index 66% rename from src/types/nodes-metadata.ts rename to src/types/blocks-metadata.ts index 9258ed6b0..5cce74349 100644 --- a/src/types/nodes-metadata.ts +++ b/src/types/blocks-metadata.ts @@ -1,4 +1,4 @@ -export type NodesMetadataMap = { +export type BlocksMetadataMap = { [node: string]: { metadata: string; path: string; diff --git a/src/types/node.ts b/src/types/node.ts index b1ac03b3f..271c43dd7 100644 --- a/src/types/node.ts +++ b/src/types/node.ts @@ -36,6 +36,7 @@ type NodeElement = { ui_component_id: string; children: null; }; + type CtrlData = Record< string, NodeElement["parameters"] extends infer T diff --git a/src/utils/ArrayUtils.ts b/src/utils/ArrayUtils.ts new file mode 100644 index 000000000..12b673a56 --- /dev/null +++ b/src/utils/ArrayUtils.ts @@ -0,0 +1,13 @@ +export function filterMap( + arr: Array, + mapPred: (x: T) => U | undefined | null, +) { + return arr.reduce((acc: Array, x: T) => { + const val = mapPred(x); + if (val !== undefined && val !== null) { + acc.push(val); + } + + return acc; + }, []); +} diff --git a/src/utils/NodeUtils.ts b/src/utils/NodeUtils.ts new file mode 100644 index 000000000..dfb8f0e76 --- /dev/null +++ b/src/utils/NodeUtils.ts @@ -0,0 +1,36 @@ +import { v4 as uuidv4 } from "uuid"; + +export const createNodeId = (nodeFunc: string) => `${nodeFunc}-${uuidv4()}`; + +const firstMissingPositive = (nums: number[]): number => { + let i = 0; + const n = nums.length; + + while (i < n) { + if (nums[i] < n && nums[nums[i]] !== nums[i]) { + const tmp = nums[i]; + nums[i] = nums[tmp]; + nums[tmp] = tmp; + } else { + i++; + } + } + + for (let i = 0; i < n; i++) { + if (nums[i] != i) { + return i; + } + } + return n; +}; + +export const createNodeLabel = (nodeFunc: string, takenLabels: string[][]) => { + const nums = takenLabels.map((l) => + l[1] !== undefined ? parseInt(l[1]) : 0, + ); + const availableNum = firstMissingPositive(nums); + + const nodeLabel = availableNum > 0 ? `${nodeFunc} ${availableNum}` : nodeFunc; + + return nodeLabel.replaceAll("_", " "); +}; diff --git a/src/web-socket/socket.ts b/src/web-socket/socket.ts index c579be841..08a8cf78e 100644 --- a/src/web-socket/socket.ts +++ b/src/web-socket/socket.ts @@ -1,4 +1,4 @@ -import { IServerStatus, ModalConfig } from "@src/context/socket.context"; +import { IServerStatus } from "@src/context/socket.context"; import { NodeResult } from "@src/feature/common/types/ResultsType"; import { sendEventToMix } from "@src/services/MixpanelServices"; @@ -11,7 +11,7 @@ interface WebSocketServerProps { handleSocketId: (value: string) => void; onClose?: (ev: CloseEvent) => void; onConnectionEstablished: Array<() => void>; - handleModalConfig: React.Dispatch>; + handleLogs: React.Dispatch>; } enum ResponseEnum { @@ -20,34 +20,9 @@ enum ResponseEnum { runningNode = "RUNNING_NODE", failedNodes = "FAILED_NODES", preJobOperation = "PRE_JOB_OP", - modalConfig = "MODAL_CONFIG", + log = "BACKEND_LOG", } -const getModalConfig = ( - prev: ModalConfig, - next: Omit & { messages: string | undefined }, -): ModalConfig => { - let messages = prev.messages; - if (next.showModal) { - messages = - prev.messages && next.messages - ? [...prev.messages, next.messages] - : next.messages - ? [next.messages] - : prev.messages; - } else { - messages = []; - } - - return { - id: next.id, - showModal: next.showModal, - title: next.title, - messages, - description: next.description, - }; -}; - export class WebSocketServer { private server: WebSocket; private handlePingResponse: WebSocketServerProps["onPingResponse"]; @@ -56,8 +31,8 @@ export class WebSocketServer { private handleFailedNodes: WebSocketServerProps["handleFailedNodes"]; private handleSocketId: WebSocketServerProps["handleSocketId"]; private onClose?: (ev: CloseEvent) => void; - private handleModalConfig: WebSocketServerProps["handleModalConfig"]; private onConnectionEstablished: WebSocketServerProps["onConnectionEstablished"]; + private handleLogs: WebSocketServerProps["handleLogs"]; constructor({ url, onPingResponse, @@ -66,8 +41,8 @@ export class WebSocketServer { handleFailedNodes, handleSocketId, onClose, - handleModalConfig, onConnectionEstablished, + handleLogs, }: WebSocketServerProps) { this.handlePingResponse = onPingResponse; this.onNodeResultsReceived = onNodeResultsReceived; @@ -76,8 +51,8 @@ export class WebSocketServer { this.handleSocketId = handleSocketId; this.server = new WebSocket(url); this.onClose = onClose; - this.handleModalConfig = handleModalConfig; this.onConnectionEstablished = onConnectionEstablished; + this.handleLogs = handleLogs; this.init(); } init() { @@ -92,13 +67,6 @@ export class WebSocketServer { ) { this.handlePingResponse(IServerStatus.STANDBY); } - if ( - [IServerStatus.RUN_COMPLETE, IServerStatus.STANDBY].includes( - data[ResponseEnum.systemStatus], - ) - ) { - this.handleModalConfig({ showModal: false, messages: [] }); - } } if (ResponseEnum.nodeResults in data) { this.onNodeResultsReceived((prev) => { @@ -119,9 +87,8 @@ export class WebSocketServer { if (ResponseEnum.failedNodes in data) { this.handleFailedNodes(data[ResponseEnum.failedNodes]); } - if (ResponseEnum.modalConfig in data) { - const modalConfig = data[ResponseEnum.modalConfig]; - this.handleModalConfig((prev) => getModalConfig(prev, modalConfig)); + if (ResponseEnum.log in data) { + this.handleLogs((prev) => [...prev, data[ResponseEnum.log]]); } break; case "connection_established": diff --git a/vite.config.ts b/vite.config.ts index 1dd5fb646..0d2426818 100644 --- a/vite.config.ts +++ b/vite.config.ts @@ -48,15 +48,14 @@ export default defineConfig(({ command }) => { } }, vite: { + publicDir: "electron/static", build: { sourcemap: sourcemap ? "inline" : undefined, minify: isBuild, rollupOptions: { input: { main: "electron/main/index.ts", - preload: `electron/preload/index${ - !isBuild ? "-dev" : "" - }.ts`, + preload: "electron/preload/index.ts", }, output: { dir: "dist-electron", From 99e4650bc53e6499d4b55048f9547ba453765a29 Mon Sep 17 00:00:00 2001 From: JeffDotPng Date: Mon, 30 Oct 2023 13:01:14 -0400 Subject: [PATCH 3/4] update lockfile --- poetry.lock | 3334 ++++++++++++++++++++++++++++++++++++++++++++++----- 1 file changed, 3020 insertions(+), 314 deletions(-) diff --git a/poetry.lock b/poetry.lock index f78e37481..d8546ae1e 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. [[package]] name = "annotated-types" @@ -45,20 +45,21 @@ files = [ [[package]] name = "asttokens" -version = "2.4.0" +version = "2.4.1" description = "Annotate AST trees with source code positions" optional = false python-versions = "*" files = [ - {file = "asttokens-2.4.0-py2.py3-none-any.whl", hash = "sha256:cf8fc9e61a86461aa9fb161a14a0841a03c405fa829ac6b202670b3495d2ce69"}, - {file = "asttokens-2.4.0.tar.gz", hash = "sha256:2e0171b991b2c959acc6c49318049236844a5da1d65ba2672c4880c1c894834e"}, + {file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"}, + {file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"}, ] [package.dependencies] six = ">=1.12.0" [package.extras] -test = ["astroid", "pytest"] +astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"] +test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"] [[package]] name = "async-timeout" @@ -110,32 +111,21 @@ aio = ["aiohttp (>=3.0)"] [[package]] name = "azure-identity" -version = "1.14.1" +version = "1.15.0" description = "Microsoft Azure Identity Library for Python" optional = false python-versions = ">=3.7" files = [ - {file = "azure-identity-1.14.1.zip", hash = "sha256:48e2a9dbdc59b4f095f841d867d9a8cbe4c1cdbbad8251e055561afd47b4a9b8"}, - {file = "azure_identity-1.14.1-py3-none-any.whl", hash = "sha256:3a5bef8e9c3281e864e869739be8d67424bff616cddae96b546ca2a5168d863d"}, + {file = "azure-identity-1.15.0.tar.gz", hash = "sha256:4c28fc246b7f9265610eb5261d65931183d019a23d4b0e99357facb2e6c227c8"}, + {file = "azure_identity-1.15.0-py3-none-any.whl", hash = "sha256:a14b1f01c7036f11f148f22cd8c16e05035293d714458d6b44ddf534d93eb912"}, ] [package.dependencies] -azure-core = ">=1.11.0,<2.0.0" +azure-core = ">=1.23.0,<2.0.0" cryptography = ">=2.5" -msal = ">=1.20.0,<2.0.0" +msal = ">=1.24.0,<2.0.0" msal-extensions = ">=0.3.0,<2.0.0" -[[package]] -name = "backcall" -version = "0.2.0" -description = "Specifications for callback functions passed in to an API" -optional = false -python-versions = "*" -files = [ - {file = "backcall-0.2.0-py2.py3-none-any.whl", hash = "sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255"}, - {file = "backcall-0.2.0.tar.gz", hash = "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e"}, -] - [[package]] name = "broadbean" version = "0.11.0" @@ -687,13 +677,13 @@ test = ["pytest (>=6)"] [[package]] name = "executing" -version = "2.0.0" +version = "2.0.1" description = "Get the currently executing AST node of a frame, and other information" optional = false -python-versions = "*" +python-versions = ">=3.5" files = [ - {file = "executing-2.0.0-py2.py3-none-any.whl", hash = "sha256:06df6183df67389625f4e763921c6cf978944721abf3e714000200aab95b0657"}, - {file = "executing-2.0.0.tar.gz", hash = "sha256:0ff053696fdeef426cda5bd18eacd94f82c91f49823a2e9090124212ceea9b08"}, + {file = "executing-2.0.1-py2.py3-none-any.whl", hash = "sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc"}, + {file = "executing-2.0.1.tar.gz", hash = "sha256:35afe2ce3affba8ee97f2d69927fa823b08b472b7b994e36a52a964b93d16147"}, ] [package.extras] @@ -721,19 +711,19 @@ all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)" [[package]] name = "filelock" -version = "3.12.4" +version = "3.13.0" description = "A platform independent file lock." optional = false python-versions = ">=3.8" files = [ - {file = "filelock-3.12.4-py3-none-any.whl", hash = "sha256:08c21d87ded6e2b9da6728c3dff51baf1dcecf973b768ef35bcbc3447edb9ad4"}, - {file = "filelock-3.12.4.tar.gz", hash = "sha256:2e6f249f1f3654291606e046b09f1fd5eac39b360664c27f5aad072012f8bcbd"}, + {file = "filelock-3.13.0-py3-none-any.whl", hash = "sha256:a552f4fde758f4eab33191e9548f671970f8b06d436d31388c9aa1e5861a710f"}, + {file = "filelock-3.13.0.tar.gz", hash = "sha256:63c6052c82a1a24c873a549fbd39a26982e8f35a3016da231ead11a5be9dad44"}, ] [package.extras] -docs = ["furo (>=2023.7.26)", "sphinx (>=7.1.2)", "sphinx-autodoc-typehints (>=1.24)"] -testing = ["covdefaults (>=2.3)", "coverage (>=7.3)", "diff-cover (>=7.7)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)", "pytest-timeout (>=2.1)"] -typing = ["typing-extensions (>=4.7.1)"] +docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.24)"] +testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"] +typing = ["typing-extensions (>=4.8)"] [[package]] name = "flojoy" @@ -1173,42 +1163,40 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio" [[package]] name = "ipython" -version = "8.16.1" +version = "8.17.1" description = "IPython: Productive Interactive Computing" optional = false python-versions = ">=3.9" files = [ - {file = "ipython-8.16.1-py3-none-any.whl", hash = "sha256:0852469d4d579d9cd613c220af7bf0c9cc251813e12be647cb9d463939db9b1e"}, - {file = "ipython-8.16.1.tar.gz", hash = "sha256:ad52f58fca8f9f848e256c629eff888efc0528c12fe0f8ec14f33205f23ef938"}, + {file = "ipython-8.17.1-py3-none-any.whl", hash = "sha256:b4510d0a163c89c78cf81be68acc841dde4a8290b6ee3f3c9578ccdd2574553c"}, + {file = "ipython-8.17.1.tar.gz", hash = "sha256:9e12020f4bf74f08631c0f033bb580e074fbe36c64903195f3e63b9c0a986cbe"}, ] [package.dependencies] appnope = {version = "*", markers = "sys_platform == \"darwin\""} -backcall = "*" colorama = {version = "*", markers = "sys_platform == \"win32\""} decorator = "*" exceptiongroup = {version = "*", markers = "python_version < \"3.11\""} jedi = ">=0.16" matplotlib-inline = "*" pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""} -pickleshare = "*" prompt-toolkit = ">=3.0.30,<3.0.37 || >3.0.37,<3.1.0" pygments = ">=2.4.0" stack-data = "*" traitlets = ">=5" [package.extras] -all = ["black", "curio", "docrepr", "exceptiongroup", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.21)", "pandas", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"] +all = ["black", "curio", "docrepr", "exceptiongroup", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.22)", "pandas", "pickleshare", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"] black = ["black"] -doc = ["docrepr", "exceptiongroup", "ipykernel", "matplotlib", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"] +doc = ["docrepr", "exceptiongroup", "ipykernel", "matplotlib", "pickleshare", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"] kernel = ["ipykernel"] nbconvert = ["nbconvert"] nbformat = ["nbformat"] notebook = ["ipywidgets", "notebook"] parallel = ["ipyparallel"] qtconsole = ["qtconsole"] -test = ["pytest (<7.1)", "pytest-asyncio", "testpath"] -test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.21)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"] +test = ["pickleshare", "pytest (<7.1)", "pytest-asyncio", "testpath"] +test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.22)", "pandas", "pickleshare", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"] [[package]] name = "ipywidgets" @@ -1296,13 +1284,13 @@ files = [ [[package]] name = "jsonschema" -version = "4.19.1" +version = "4.19.2" description = "An implementation of JSON Schema validation for Python" optional = false python-versions = ">=3.8" files = [ - 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A base package on which Jupyter projects rely." optional = false python-versions = ">=3.8" files = [ - {file = "jupyter_core-5.4.0-py3-none-any.whl", hash = "sha256:66e252f675ac04dcf2feb6ed4afb3cd7f68cf92f483607522dc251f32d471571"}, - {file = "jupyter_core-5.4.0.tar.gz", hash = "sha256:e4b98344bb94ee2e3e6c4519a97d001656009f9cb2b7f2baf15b3c205770011d"}, + {file = "jupyter_core-5.5.0-py3-none-any.whl", hash = "sha256:e11e02cd8ae0a9de5c6c44abf5727df9f2581055afe00b22183f621ba3585805"}, + {file = "jupyter_core-5.5.0.tar.gz", hash = "sha256:880b86053bf298a8724994f95e99b99130659022a4f7f45f563084b6223861d3"}, ] [package.dependencies] @@ -1368,7 +1356,7 @@ pywin32 = {version = ">=300", markers = "sys_platform == \"win32\" and platform_ traitlets = ">=5.3" [package.extras] -docs = ["myst-parser", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"] test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"] [[package]] @@ -1642,13 +1630,13 @@ files = [ [[package]] name = "networkx" -version = "3.2" +version = "3.2.1" description = "Python package for creating and manipulating graphs and networks" optional = false python-versions = ">=3.9" files = [ - {file = "networkx-3.2-py3-none-any.whl", hash = "sha256:8b25f564bd28f94ac821c58b04ae1a3109e73b001a7d476e4bb0d00d63706bf8"}, - {file = "networkx-3.2.tar.gz", hash = "sha256:bda29edf392d9bfa5602034c767d28549214ec45f620081f0b74dc036a1fbbc1"}, + {file = "networkx-3.2.1-py3-none-any.whl", hash = "sha256:f18c69adc97877c42332c170849c96cefa91881c99a7cb3e95b7c659ebdc1ec2"}, + {file = "networkx-3.2.1.tar.gz", hash = "sha256:9f1bb5cf3409bf324e0a722c20bdb4c20ee39bf1c30ce8ae499c8502b0b5e0c6"}, ] [package.extras] @@ -1761,8 +1749,11 @@ files = [ [package.dependencies] numpy = [ + {version = ">=1.21.2", markers = "python_version >= \"3.10\""}, 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PYTHON/utils/signals.py | 4 +++- captain/services/hardware.py | 15 +++++++++++---- 2 files changed, 14 insertions(+), 5 deletions(-) diff --git a/PYTHON/utils/signals.py b/PYTHON/utils/signals.py index 62e5f3326..24f09ca2c 100644 --- a/PYTHON/utils/signals.py +++ b/PYTHON/utils/signals.py @@ -2,7 +2,9 @@ class Signals: def __init__(self) -> None: self.signal_states = {} self.signal_iterations = {} - self.all_node_signals = {} # {child_id -> {(parent_id, direction)] -> signal_id} + self.all_node_signals = ( + {} + ) # {child_id -> {(parent_id, direction)] -> signal_id} def update_child_signals(self, child_id, node_id, direction): child_signals = self.all_node_signals.get(child_id, {}) diff --git a/captain/services/hardware.py b/captain/services/hardware.py index 2a0274cac..d9fff64b5 100644 --- a/captain/services/hardware.py +++ b/captain/services/hardware.py @@ -1,5 +1,6 @@ import subprocess from sys import platform + if platform in ["darwin"]: import AVFoundation import os @@ -11,6 +12,8 @@ from captain.types.devices import CameraDevice, SerialDevice, VISADevice __all__ = ["get_device_finder"] + + class DefaultDeviceFinder: def get_cameras(self) -> list[CameraDevice]: """Returns a list of camera indices connected to the system.""" @@ -96,8 +99,6 @@ def get_cameras(self) -> list[CameraDevice]: return cameras - - class MacDeviceFinder(LinuxDeviceFinder): def __init__(self): if platform not in ["darwin"]: @@ -105,10 +106,16 @@ def __init__(self): def get_cameras(self) -> list[CameraDevice]: devices = AVFoundation.AVCaptureDevice.devices() - video_devices = [device for device in devices if device.hasMediaType_(AVFoundation.AVMediaTypeVideo)] + video_devices = [ + device + for device in devices + if device.hasMediaType_(AVFoundation.AVMediaTypeVideo) + ] cameras = [] for device in video_devices: - cameras.append(CameraDevice(name=device.localizedName(), id=device.uniqueID())) + cameras.append( + CameraDevice(name=device.localizedName(), id=device.uniqueID()) + ) return cameras