From 892e1e3139e69f5c55a5ba82957eefa255edebd3 Mon Sep 17 00:00:00 2001 From: Marcin Rudolf Date: Fri, 3 Jun 2022 18:48:12 +0200 Subject: [PATCH] moves dlt core in --- .dockerignore | 13 + LICENSE.txt | 203 + Makefile | 91 +- compiled_packages.txt | 1 + compiled_requirements.txt | 6 + deploy/dbt_runner/Dockerfile | 54 + deploy/dlt/Dockerfile | 43 + dlt/__init__.py | 1 + dlt/_version.py | 3 + dlt/common/__init__.py | 5 + dlt/common/arithmetics.py | 32 + dlt/common/configuration/__init__.py | 11 + .../configuration/basic_configuration.py | 21 + dlt/common/configuration/exceptions.py | 43 + .../configuration/gcp_client_configuration.py | 34 + .../loading_volume_configuration.py | 6 + .../pool_runner_configuration.py | 13 + .../configuration/postgres_configuration.py | 25 + .../schema_volume_configuration.py | 6 + .../unpacking_volume_configuration.py | 6 + dlt/common/configuration/utils.py | 214 + dlt/common/dataset_writers.py | 58 + dlt/common/exceptions.py | 58 + dlt/common/file_storage.py | 135 + dlt/common/json.py | 46 + dlt/common/logger.py | 207 + dlt/common/parser.py | 147 + dlt/common/pendulum.py | 16 + dlt/common/runners.py | 181 + dlt/common/schema.py | 575 +++ dlt/common/signals.py | 35 + dlt/common/storages/__init__.py | 1 + dlt/common/storages/exceptions.py | 23 + dlt/common/storages/loader_storage.py | 181 + dlt/common/storages/schema_storage.py | 49 + dlt/common/storages/unpacker_storage.py | 73 + dlt/common/storages/versioned_storage.py | 54 + dlt/common/telemetry.py | 65 + dlt/common/time.py | 30 + dlt/common/typing.py | 32 + dlt/common/utils.py | 117 + dlt/dbt_runner/README.md | 17 + dlt/dbt_runner/__init__.py | 1 + dlt/dbt_runner/_version.py | 1 + dlt/dbt_runner/configuration.py | 69 + dlt/dbt_runner/exceptions.py | 9 + dlt/dbt_runner/runner.py | 187 + dlt/dbt_runner/utils.py | 130 + dlt/extractors/__init__.py | 0 dlt/extractors/exceptions.py | 5 + dlt/extractors/extractor_storage.py | 34 + dlt/extractors/generator/__init__.py | 0 dlt/extractors/generator/extractor.py | 0 dlt/loaders/__init__.py | 1 + dlt/loaders/client_base.py | 150 + dlt/loaders/configuration.py | 51 + dlt/loaders/dummy/__init__.py | 0 dlt/loaders/dummy/client.py | 134 + dlt/loaders/dummy/configuration.py | 8 + dlt/loaders/exceptions.py | 72 + dlt/loaders/gcp/README.md | 6 + dlt/loaders/gcp/__init__.py | 0 dlt/loaders/gcp/client.py | 324 ++ dlt/loaders/loader.py | 238 ++ dlt/loaders/local_types.py | 4 + dlt/loaders/redshift/README.md | 23 + dlt/loaders/redshift/__init__.py | 0 dlt/loaders/redshift/client.py | 282 ++ dlt/pipeline/__init__.py | 30 +- dlt/py.typed | 0 dlt/unpacker/__init__.py | 1 + dlt/unpacker/configuration.py | 29 + dlt/unpacker/exceptions.py | 0 dlt/unpacker/unpacker.py | 249 ++ examples/demo_example.py | 6 +- examples/discord_iterator.py | 9 +- examples/ethereum_generator.py | 16 +- examples/google_drive_csv.py | 52 +- examples/schemas/ethereum_schema.json | 911 +++++ ...yGqtQMQqlqpxyvWkRXowKE8CtdLtFaU_schema.yml | 936 +++++ poetry.lock | 1110 +++++- pyproject.toml | 56 +- pytest.ini | 7 + tests/.example.env | 18 + tests/__init__.py | 0 tests/common/__init__.py | 0 tests/common/cases/mod_bot_case.json | 32 + .../common/cases/schemas/ev1/event_schema.7z | Bin 0 -> 1964 bytes .../cases/schemas/ev1/event_schema.json | 3265 +++++++++++++++ .../cases/schemas/ev1/model_schema.json | 63 + .../cases/schemas/rasa/event_schema.json | 59 + .../cases/schemas/rasa/model_schema.json | 54 + tests/common/cases/secret-kube/secret-kube | 1 + tests/common/cases/secret-value | 1 + tests/common/cases/simple_row.json | 16 + tests/common/cases/weird_rows.json | 14 + tests/common/storages/__init__.py | 0 tests/common/storages/test_loader_storage.py | 84 + .../common/storages/test_unpacker_storage.py | 40 + .../common/storages/test_versioned_storage.py | 59 + tests/common/test_arithmetics.py | 34 + tests/common/test_configuration.py | 405 ++ tests/common/test_data_writers.py | 44 + tests/common/test_logging.py | 118 + tests/common/test_parser.py | 339 ++ tests/common/test_runners.py | 259 ++ tests/common/test_schema.py | 572 +++ tests/common/test_signals.py | 94 + tests/common/test_time.py | 25 + tests/common/test_utils.py | 13 + tests/common/utils.py | 12 + tests/dbt_runner/__init__.py | 0 tests/dbt_runner/cases/profiles.yml | 11 + tests/dbt_runner/secrets/deploy-key | 7 + tests/dbt_runner/secrets/deploy_key.pub | 1 + tests/dbt_runner/test_runner_bigquery.py | 136 + tests/dbt_runner/test_runner_redshift.py | 186 + tests/dbt_runner/test_utils.py | 123 + tests/dbt_runner/utils.py | 58 + tests/loaders/__init__.py | 0 tests/loaders/cases/event_schema.json | 1888 +++++++++ tests/loaders/cases/event_user.json | 103 + ...2c6660b242aaabbf3fc27245b7e6.insert_values | 26 + ...ted.839c6e6b514e427687586ccc65bf133f.jsonl | 122 + ...ser.839c6e6b514e427687586ccc65bf133f.jsonl | 9 + ...2c6660b242aaabbf3fc27245b7e6.insert_values | 23 + tests/loaders/cases/loading/schema.json | 1 + .../loaders/cases/loading/schema_updates.json | 1 + tests/loaders/gcp/__init__.py | 0 tests/loaders/gcp/test_gcp_client.py | 214 + tests/loaders/gcp/test_gcp_table_builder.py | 125 + tests/loaders/redshift/__init__.py | 0 tests/loaders/redshift/setup_db.sql | 19 + .../loaders/redshift/test_redshift_client.py | 335 ++ .../redshift/test_redshift_table_builder.py | 101 + tests/loaders/test_dummy_loader.py | 301 ++ tests/loaders/utils.py | 87 + tests/tools/__init__.py | 0 tests/tools/create_storages.py | 11 + tests/unpacker/__init__.py | 0 ...9b504ea240a482b007788d5cd61c_2.unpack.json | 1 + .../event_bot_load_metadata_1.unpack.json | 3539 +++++++++++++++++ .../cases/event_many_load_2.unpack.json | 40 + .../event_slot_session_metadata_1.unpack.json | 19 + .../cases/event_user_load_1.unpack.json | 156 + .../cases/event_user_load_v228_1.unpack.json | 151 + .../cases/rasa_event_bot_metadata.json | 3537 ++++++++++++++++ .../cases/rasa_event_bot_template.json | 31 + tests/unpacker/cases/rasa_user_event.json | 79 + .../cases/schemas/ethereum_schema.json | 911 +++++ .../unpacker/cases/schemas/event_schema.json | 59 + tests/unpacker/test_unpacker.py | 252 ++ tests/unpacker/utils.py | 12 + tests/utils.py | 87 + 154 files changed, 26241 insertions(+), 214 deletions(-) create mode 100644 .dockerignore create mode 100644 LICENSE.txt create mode 100644 compiled_packages.txt create mode 100644 compiled_requirements.txt create mode 100644 deploy/dbt_runner/Dockerfile create mode 100644 deploy/dlt/Dockerfile create mode 100644 dlt/_version.py create mode 100644 dlt/common/__init__.py create mode 100644 dlt/common/arithmetics.py create mode 100644 dlt/common/configuration/__init__.py create mode 100644 dlt/common/configuration/basic_configuration.py create mode 100644 dlt/common/configuration/exceptions.py create mode 100644 dlt/common/configuration/gcp_client_configuration.py create mode 100644 dlt/common/configuration/loading_volume_configuration.py create mode 100644 dlt/common/configuration/pool_runner_configuration.py create mode 100644 dlt/common/configuration/postgres_configuration.py create mode 100644 dlt/common/configuration/schema_volume_configuration.py create mode 100644 dlt/common/configuration/unpacking_volume_configuration.py create mode 100644 dlt/common/configuration/utils.py create mode 100644 dlt/common/dataset_writers.py create mode 100644 dlt/common/exceptions.py create mode 100644 dlt/common/file_storage.py create mode 100644 dlt/common/json.py create mode 100644 dlt/common/logger.py create mode 100644 dlt/common/parser.py create mode 100644 dlt/common/pendulum.py create mode 100644 dlt/common/runners.py create mode 100644 dlt/common/schema.py create mode 100644 dlt/common/signals.py create mode 100644 dlt/common/storages/__init__.py create mode 100644 dlt/common/storages/exceptions.py create mode 100644 dlt/common/storages/loader_storage.py create mode 100644 dlt/common/storages/schema_storage.py create mode 100644 dlt/common/storages/unpacker_storage.py create mode 100644 dlt/common/storages/versioned_storage.py create mode 100644 dlt/common/telemetry.py create mode 100644 dlt/common/time.py create mode 100644 dlt/common/typing.py create mode 100644 dlt/common/utils.py create mode 100644 dlt/dbt_runner/README.md create mode 100644 dlt/dbt_runner/__init__.py create mode 100644 dlt/dbt_runner/_version.py create mode 100644 dlt/dbt_runner/configuration.py create mode 100644 dlt/dbt_runner/exceptions.py create mode 100644 dlt/dbt_runner/runner.py create mode 100644 dlt/dbt_runner/utils.py create mode 100644 dlt/extractors/__init__.py create mode 100644 dlt/extractors/exceptions.py create mode 100644 dlt/extractors/extractor_storage.py create mode 100644 dlt/extractors/generator/__init__.py create mode 100644 dlt/extractors/generator/extractor.py create mode 100644 dlt/loaders/__init__.py create mode 100644 dlt/loaders/client_base.py create mode 100644 dlt/loaders/configuration.py create mode 100644 dlt/loaders/dummy/__init__.py create mode 100644 dlt/loaders/dummy/client.py create mode 100644 dlt/loaders/dummy/configuration.py create mode 100644 dlt/loaders/exceptions.py create mode 100644 dlt/loaders/gcp/README.md create mode 100644 dlt/loaders/gcp/__init__.py create mode 100644 dlt/loaders/gcp/client.py create mode 100644 dlt/loaders/loader.py create mode 100644 dlt/loaders/local_types.py create mode 100644 dlt/loaders/redshift/README.md create mode 100644 dlt/loaders/redshift/__init__.py create mode 100644 dlt/loaders/redshift/client.py create mode 100644 dlt/py.typed create mode 100644 dlt/unpacker/__init__.py create mode 100644 dlt/unpacker/configuration.py create mode 100644 dlt/unpacker/exceptions.py create mode 100644 dlt/unpacker/unpacker.py create mode 100644 examples/schemas/ethereum_schema.json create mode 100644 examples/schemas/inferred_drive_csv_11G95oVZjieRhyGqtQMQqlqpxyvWkRXowKE8CtdLtFaU_schema.yml create mode 100644 pytest.ini create mode 100644 tests/.example.env create mode 100644 tests/__init__.py create mode 100644 tests/common/__init__.py create mode 100644 tests/common/cases/mod_bot_case.json create mode 100644 tests/common/cases/schemas/ev1/event_schema.7z create mode 100644 tests/common/cases/schemas/ev1/event_schema.json create mode 100644 tests/common/cases/schemas/ev1/model_schema.json create mode 100644 tests/common/cases/schemas/rasa/event_schema.json create mode 100644 tests/common/cases/schemas/rasa/model_schema.json create mode 100644 tests/common/cases/secret-kube/secret-kube create mode 100644 tests/common/cases/secret-value create mode 100644 tests/common/cases/simple_row.json create mode 100644 tests/common/cases/weird_rows.json create mode 100644 tests/common/storages/__init__.py create mode 100644 tests/common/storages/test_loader_storage.py create mode 100644 tests/common/storages/test_unpacker_storage.py create mode 100644 tests/common/storages/test_versioned_storage.py create mode 100644 tests/common/test_arithmetics.py create mode 100644 tests/common/test_configuration.py create mode 100644 tests/common/test_data_writers.py create mode 100644 tests/common/test_logging.py create mode 100644 tests/common/test_parser.py create mode 100644 tests/common/test_runners.py create mode 100644 tests/common/test_schema.py create mode 100644 tests/common/test_signals.py create mode 100644 tests/common/test_time.py create mode 100644 tests/common/test_utils.py create mode 100644 tests/common/utils.py create mode 100644 tests/dbt_runner/__init__.py create mode 100644 tests/dbt_runner/cases/profiles.yml create mode 100644 tests/dbt_runner/secrets/deploy-key create mode 100644 tests/dbt_runner/secrets/deploy_key.pub create mode 100644 tests/dbt_runner/test_runner_bigquery.py create mode 100644 tests/dbt_runner/test_runner_redshift.py create mode 100644 tests/dbt_runner/test_utils.py create mode 100644 tests/dbt_runner/utils.py create mode 100644 tests/loaders/__init__.py create mode 100644 tests/loaders/cases/event_schema.json create mode 100644 tests/loaders/cases/event_user.json create mode 100644 tests/loaders/cases/loading/event_bot.b1d32c6660b242aaabbf3fc27245b7e6.insert_values create mode 100644 tests/loaders/cases/loading/event_loop_interrupted.839c6e6b514e427687586ccc65bf133f.jsonl create mode 100644 tests/loaders/cases/loading/event_user.839c6e6b514e427687586ccc65bf133f.jsonl create mode 100644 tests/loaders/cases/loading/event_user.b1d32c6660b242aaabbf3fc27245b7e6.insert_values create mode 100644 tests/loaders/cases/loading/schema.json create mode 100644 tests/loaders/cases/loading/schema_updates.json create mode 100644 tests/loaders/gcp/__init__.py create mode 100644 tests/loaders/gcp/test_gcp_client.py create mode 100644 tests/loaders/gcp/test_gcp_table_builder.py create mode 100644 tests/loaders/redshift/__init__.py create mode 100644 tests/loaders/redshift/setup_db.sql create mode 100644 tests/loaders/redshift/test_redshift_client.py create mode 100644 tests/loaders/redshift/test_redshift_table_builder.py create mode 100644 tests/loaders/test_dummy_loader.py create mode 100644 tests/loaders/utils.py create mode 100644 tests/tools/__init__.py create mode 100644 tests/tools/create_storages.py create mode 100644 tests/unpacker/__init__.py create mode 100644 tests/unpacker/cases/ethereum_blocks_9c1d9b504ea240a482b007788d5cd61c_2.unpack.json create mode 100644 tests/unpacker/cases/event_bot_load_metadata_1.unpack.json create mode 100644 tests/unpacker/cases/event_many_load_2.unpack.json create mode 100644 tests/unpacker/cases/event_slot_session_metadata_1.unpack.json create mode 100644 tests/unpacker/cases/event_user_load_1.unpack.json create mode 100644 tests/unpacker/cases/event_user_load_v228_1.unpack.json create mode 100644 tests/unpacker/cases/rasa_event_bot_metadata.json create mode 100644 tests/unpacker/cases/rasa_event_bot_template.json create mode 100644 tests/unpacker/cases/rasa_user_event.json create mode 100644 tests/unpacker/cases/schemas/ethereum_schema.json create mode 100644 tests/unpacker/cases/schemas/event_schema.json create mode 100644 tests/unpacker/test_unpacker.py create mode 100644 tests/unpacker/utils.py create mode 100644 tests/utils.py diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000000..d6104291df --- /dev/null +++ b/.dockerignore @@ -0,0 +1,13 @@ +.idea +.direnv +.mypy_cache +.pytest_cache +htmlcov +.coverage +__pycache__ +.eggs +.egg-info +_storage +_test_storage +Dockerfile +.md \ No newline at end of file diff --git a/LICENSE.txt b/LICENSE.txt new file mode 100644 index 0000000000..fa1b4ed2de --- /dev/null +++ b/LICENSE.txt @@ -0,0 +1,203 @@ + + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright 2022 ScaleVector + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/Makefile b/Makefile index 69b7a94a74..122f8f1e03 100644 --- a/Makefile +++ b/Makefile @@ -1,3 +1,28 @@ +PYV=$(shell python3 -c "import sys;t='{v[0]}.{v[1]}'.format(v=list(sys.version_info[:2]));sys.stdout.write(t)") +.SILENT:has-poetry + +# pipeline version info +AUTV=$(shell python3 -c "from dlt import __version__;print(__version__)") +AUTVMINMAJ=$(shell python3 -c "from dlt import __version__;print('.'.join(__version__.split('.')[:-1]))") + +NAME := scalevector/dlt +TAG := $(shell git log -1 --pretty=%h) +IMG := ${NAME}:${TAG} +LATEST := ${NAME}:latest${VERSION_SUFFIX} +VERSION := ${AUTV}${VERSION_SUFFIX} +VERSION_MM := ${AUTVMINMAJ}${VERSION_SUFFIX} + + +# dbt runner version info +DBT_AUTV=$(shell python3 -c "from dlt.dbt_runner._version import __version__;print(__version__)") +DBT_AUTVMINMAJ=$(shell python3 -c "from dlt.dbt_runner._version import __version__;print('.'.join(__version__.split('.')[:-1]))") + +DBT_NAME := scalevector/dlt-dbt-runner +DBT_IMG := ${DBT_NAME}:${TAG} +DBT_LATEST := ${DBT_NAME}:latest${VERSION_SUFFIX} +DBT_VERSION := ${DBT_AUTV}${VERSION_SUFFIX} +DBT_VERSION_MM := ${DBT_AUTVMINMAJ}${VERSION_SUFFIX} + install-poetry: ifneq ($(VIRTUAL_ENV),) $(error you cannot be under virtual environment $(VIRTUAL_ENV)) @@ -8,14 +33,70 @@ has-poetry: poetry --version dev: has-poetry - # will install itself as editable module - poetry install - poetry run pip install -e ../rasa_data_ingestion + # will install itself as editable module with all the extras + poetry install -E "postgres redshift dbt gcp" lint: poetry run mypy --config-file mypy.ini dlt examples - poetry run flake8 --max-line-length=200 dlt examples + # poetry run flake8 --max-line-length=200 dlt examples tests $(MAKE) lint-security lint-security: - poetry run bandit -r autopoiesis/ -n 3 -ll + poetry run bandit -r dlt/ -n 3 -l + +reset-test-storage: + -rm -r _storage + mkdir _storage + python3 test/tools/create_storages.py + +recreate-compiled-deps: + poetry export -f requirements.txt --output _gen_requirements.txt --without-hashes --extras gcp --extras redshift + grep `cat compiled_packages.txt` _gen_requirements.txt > compiled_requirements.txt + +publish-library: + poetry version ${VERSION} + poetry build + poetry publish -u __token__ + +build-image-tags: + @echo ${IMG} + @echo ${LATEST} + @echo ${NAME}:${VERSION_MM} + @echo ${NAME}:${VERSION} + +build-image-no-version-tags: + poetry export -f requirements.txt --output _gen_requirements.txt --without-hashes --extras gcp --extras redshift + docker build -f deploy/dlt/Dockerfile --build-arg=COMMIT_SHA=${TAG} --build-arg=IMAGE_VERSION="${VERSION}" . -t ${IMG} + +build-image: build-image-no-version-tags + docker tag ${IMG} ${LATEST} + docker tag ${IMG} ${NAME}:${VERSION_MM} + docker tag ${IMG} ${NAME}:${VERSION} + +push-image: + docker push ${IMG} + docker push ${LATEST} + docker push ${NAME}:${VERSION_MM} + docker push ${NAME}:${VERSION} + +dbt-build-image-tags: + @echo ${DBT_IMG} + @echo ${DBT_LATEST} + @echo ${DBT_VERSION_MM} + @echo ${DBT_VERSION} + +dbt-build-image: + poetry export -f requirements.txt --output _gen_requirements_dbt.txt --without-hashes --extras dbt + docker build -f dlt/dbt_runner/Dockerfile --build-arg=COMMIT_SHA=${TAG} --build-arg=IMAGE_VERSION="${DBT_VERSION}" . -t ${DBT_IMG} + docker tag ${DBT_IMG} ${DBT_LATEST} + docker tag ${DBT_IMG} ${DBT_NAME}:${DBT_VERSION_MM} + docker tag ${DBT_IMG} ${DBT_NAME}:${DBT_VERSION} + +dbt-push-image: + docker push ${DBT_IMG} + docker push ${DBT_LATEST} + docker push ${DBT_NAME}:${DBT_VERSION_MM} + docker push ${DBT_NAME}:${DBT_VERSION} + +docker-login: + docker login -u scalevector -p ${DOCKER_PASS} diff --git a/compiled_packages.txt b/compiled_packages.txt new file mode 100644 index 0000000000..5738dbcb07 --- /dev/null +++ b/compiled_packages.txt @@ -0,0 +1 @@ +cffi\|idna\|simplejson\|pendulum\|grpcio\|google-crc32c diff --git a/compiled_requirements.txt b/compiled_requirements.txt new file mode 100644 index 0000000000..cab4a21fbb --- /dev/null +++ b/compiled_requirements.txt @@ -0,0 +1,6 @@ +google-crc32c==1.3.0; python_version >= "3.6" and python_version < "3.11" +grpcio-status==1.43.0; python_version >= "3.6" and python_version < "3.11" +grpcio==1.43.0; python_version >= "3.6" +idna==3.3; python_version >= "3.6" and python_full_version < "3.0.0" and python_version < "3.11" or python_full_version >= "3.6.0" and python_version >= "3.6" and python_version < "3.11" +pendulum==2.1.2; (python_version >= "2.7" and python_full_version < "3.0.0") or (python_full_version >= "3.5.0") +simplejson==3.17.6; (python_version >= "2.5" and python_full_version < "3.0.0") or (python_full_version >= "3.3.0") diff --git a/deploy/dbt_runner/Dockerfile b/deploy/dbt_runner/Dockerfile new file mode 100644 index 0000000000..e41542aea1 --- /dev/null +++ b/deploy/dbt_runner/Dockerfile @@ -0,0 +1,54 @@ +FROM python:3.8-slim-bullseye as base + +# Metadata +LABEL org.label-schema.vendor="ScaleVector" \ + org.label-schema.url="https://scalevector.ai" \ + org.label-schema.name="dbt_runner" \ + org.label-schema.description="DBT Package Runner for DLT" + +# prepare dirs to install autopoieses +RUN mkdir -p /usr/src/app && mkdir /var/local/app && mkdir /usr/src/app/autopoiesis + +WORKDIR /usr/src/app + +# System setup for DBT +RUN apt-get update \ + && apt-get dist-upgrade -y \ + && apt-get install -y --no-install-recommends \ + git \ + ssh-client \ + software-properties-common \ + make \ + build-essential \ + ca-certificates \ + libpq-dev \ + && apt-get clean \ + && rm -rf \ + /var/lib/apt/lists/* \ + /tmp/* \ + /var/tmp/* + +# Env vars +ENV PYTHONIOENCODING=utf-8 +ENV LANG=C.UTF-8 + +# Update python +RUN python -m pip install --upgrade pip setuptools wheel --no-cache-dir + + +ENV PYTHONPATH $PYTHONPATH:/usr/src/app + +ADD _gen_requirements_dbt.txt . +RUN pip3 install -r _gen_requirements_dbt.txt + +COPY autopoiesis/common autopoiesis/common +COPY autopoiesis/dbt_runner autopoiesis/dbt_runner +COPY autopoiesis/*.py autopoiesis/ + +# add build labels and envs +ARG COMMIT_SHA="" +ARG IMAGE_VERSION="" +LABEL commit_sha = ${COMMIT_SHA} +LABEL version=${IMAGE_VERSION} +ENV COMMIT_SHA=${COMMIT_SHA} +ENV IMAGE_VERSION=${IMAGE_VERSION} diff --git a/deploy/dlt/Dockerfile b/deploy/dlt/Dockerfile new file mode 100644 index 0000000000..fe4c7b0cc4 --- /dev/null +++ b/deploy/dlt/Dockerfile @@ -0,0 +1,43 @@ +# Python 3.8 required +FROM alpine:3.15 + +# Metadata +LABEL org.label-schema.vendor="ScaleVector" \ + org.label-schema.url="https://scalevector.ai" \ + org.label-schema.name="DLT" \ + org.label-schema.description="DLT is an open-source python-native scalable data loading framework that does not require any devops efforts to run." + +# prepare dirs to install autopoieses +RUN mkdir -p /tmp/pydlt + +WORKDIR /tmp/pydlt + +# generated by make recreate-compiled-deps to install packages requiring compiler +# recreate only when you have new deps requiring compilation - step below is very slow +ADD compiled_requirements.txt . + +# install alpine deps +RUN apk update &&\ + apk add --no-cache python3 ca-certificates curl postgresql &&\ + apk add --no-cache --virtual build-deps build-base automake autoconf libtool python3-dev postgresql-dev libffi-dev linux-headers gcc musl-dev &&\ + ln -s /usr/bin/python3 /usr/bin/python &&\ + curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py && python3 get-pip.py &&\ + rm get-pip.py &&\ + pip3 install --upgrade setuptools wheel &&\ + rm -r /usr/lib/python*/ensurepip &&\ + pip3 install -r compiled_requirements.txt &&\ + apk del --purge build-deps + #rm -r /root/.cache + +# add build labels and envs +ARG COMMIT_SHA="" +ARG IMAGE_VERSION="" +LABEL commit_sha = ${COMMIT_SHA} +LABEL version=${IMAGE_VERSION} +ENV COMMIT_SHA=${COMMIT_SHA} +ENV IMAGE_VERSION=${IMAGE_VERSION} + +# install exactly the same version of the library we used to build +RUN pip3 install python-dlt==${IMAGE_VERSION}[gcp,redshift] + +RUN rm -r /tmp/pydlt \ No newline at end of file diff --git a/dlt/__init__.py b/dlt/__init__.py index e69de29bb2..b53f5a0b6b 100644 --- a/dlt/__init__.py +++ b/dlt/__init__.py @@ -0,0 +1 @@ +from dlt._version import common_version as __version__ \ No newline at end of file diff --git a/dlt/_version.py b/dlt/_version.py new file mode 100644 index 0000000000..2051008357 --- /dev/null +++ b/dlt/_version.py @@ -0,0 +1,3 @@ +common_version = "0.1.0" +loader_version = "0.1.0" +unpacker_version = "0.1.0" diff --git a/dlt/common/__init__.py b/dlt/common/__init__.py new file mode 100644 index 0000000000..db7d84a937 --- /dev/null +++ b/dlt/common/__init__.py @@ -0,0 +1,5 @@ +from .pendulum import pendulum # noqa: F401 +from .json import json # noqa: F401, I251 +from .time import sleep # noqa: F401 +from .arithmetics import Decimal # noqa: F401 +from dlt._version import common_version as __version__ \ No newline at end of file diff --git a/dlt/common/arithmetics.py b/dlt/common/arithmetics.py new file mode 100644 index 0000000000..8b14ad4da8 --- /dev/null +++ b/dlt/common/arithmetics.py @@ -0,0 +1,32 @@ +import decimal +from contextlib import contextmanager +from typing import Iterator +from decimal import ROUND_HALF_UP, Decimal, DefaultContext, DivisionByZero, InvalidOperation, localcontext, Context, ConversionSyntax + + +DefaultContext.rounding = ROUND_HALF_UP +# use small caps for exponent +DefaultContext.capitals = 0 +# prevent NaN to be returned +DefaultContext.traps[InvalidOperation] = True +# prevent Inf to be returned +DefaultContext.traps[DivisionByZero] = True +decimal.setcontext(DefaultContext) + +DEFAULT_NUMERIC_PRECISION = 38 +DEFAULT_NUMERIC_SCALE = 9 + +NUMERIC_DEFAULT_QUANTIZER = Decimal("1." + "0" * DEFAULT_NUMERIC_SCALE) + + +@contextmanager +def numeric_default_context() -> Iterator[Context]: + with localcontext() as c: + c.prec=DEFAULT_NUMERIC_PRECISION + yield c + + +def numeric_default_quantize(v: Decimal) -> Decimal: + if v == 0: + return v + return v.quantize(NUMERIC_DEFAULT_QUANTIZER) diff --git a/dlt/common/configuration/__init__.py b/dlt/common/configuration/__init__.py new file mode 100644 index 0000000000..b693bec495 --- /dev/null +++ b/dlt/common/configuration/__init__.py @@ -0,0 +1,11 @@ +from .basic_configuration import BasicConfiguration # noqa: F401 +from .unpacking_volume_configuration import UnpackingVolumeConfiguration, ProductionUnpackingVolumeConfiguration # noqa: F401 +from .loading_volume_configuration import LoadingVolumeConfiguration, ProductionLoadingVolumeConfiguration # noqa: F401 +from .schema_volume_configuration import SchemaVolumeConfiguration, ProductionSchemaVolumeConfiguration # noqa: F401 +from .pool_runner_configuration import PoolRunnerConfiguration, TPoolType # noqa: F401 +from .gcp_client_configuration import GcpClientConfiguration, GcpClientProductionConfiguration # noqa: F401 +from .postgres_configuration import PostgresConfiguration, PostgresProductionConfiguration # noqa: F401 +from .utils import make_configuration, TConfigSecret, open_configuration_file # noqa: F401 + +from .exceptions import ( # noqa: F401 + ConfigEntryMissingException, ConfigEnvValueCannotBeCoercedException, ConfigIntegrityException, ConfigFileNotFoundException) diff --git a/dlt/common/configuration/basic_configuration.py b/dlt/common/configuration/basic_configuration.py new file mode 100644 index 0000000000..5858b166b7 --- /dev/null +++ b/dlt/common/configuration/basic_configuration.py @@ -0,0 +1,21 @@ +from typing import Optional, Tuple + +DEVELOPMENT_CONFIG_FILES_STORAGE_PATH = "_storage/config/%s" +PRODUCTION_CONFIG_FILES_STORAGE_PATH = "/run/config/%s" + +class BasicConfiguration: + NAME: str = None # the name of the component, must be supplied + SENTRY_DSN: Optional[str] = None # keep None to disable Sentry + PROMETHEUS_PORT: Optional[int] = None # keep None to disable Prometheus + LOG_FORMAT: str = '{asctime}|[{levelname:<21}]|{process}|{name}|{filename}|{funcName}:{lineno}|{message}' + LOG_LEVEL: str = "DEBUG" + IS_DEVELOPMENT_CONFIG: bool = True + REQUEST_TIMEOUT: Tuple[int, int] = (15, 300) # default request timeout for all http clients + CONFIG_FILES_STORAGE_PATH: str = DEVELOPMENT_CONFIG_FILES_STORAGE_PATH + + @classmethod + def check_integrity(cls) -> None: + # if CONFIG_FILES_STORAGE_PATH not overwritten and we are in production mode + if cls.CONFIG_FILES_STORAGE_PATH == DEVELOPMENT_CONFIG_FILES_STORAGE_PATH and not cls.IS_DEVELOPMENT_CONFIG: + # set to mount where config files will be present + cls.CONFIG_FILES_STORAGE_PATH = PRODUCTION_CONFIG_FILES_STORAGE_PATH diff --git a/dlt/common/configuration/exceptions.py b/dlt/common/configuration/exceptions.py new file mode 100644 index 0000000000..6380b8934d --- /dev/null +++ b/dlt/common/configuration/exceptions.py @@ -0,0 +1,43 @@ +from typing import Iterable, Union + +from dlt.common.exceptions import DltException + + +class ConfigurationException(DltException): + def __init__(self, msg: str) -> None: + super().__init__(msg) + + +class ConfigEntryMissingException(ConfigurationException): + """thrown when not all required config elements are present""" + + def __init__(self, missing_set: Iterable[str]) -> None: + self.missing_set = missing_set + super().__init__('Missing config keys: ' + str(missing_set)) + + +class ConfigEnvValueCannotBeCoercedException(ConfigurationException): + """thrown when value from ENV cannot be coerced to hinted type""" + + def __init__(self, attr_name: str, env_value: str, hint: type) -> None: + self.attr_name = attr_name + self.env_value = env_value + self.hint = hint + super().__init__('env value %s cannot be coerced into type %s in attr %s' % (env_value, str(hint), attr_name)) + + +class ConfigIntegrityException(ConfigurationException): + """thrown when value from ENV cannot be coerced to hinted type""" + + def __init__(self, attr_name: str, env_value: str, info: Union[type, str]) -> None: + self.attr_name = attr_name + self.env_value = env_value + self.info = info + super().__init__('integrity error for attr %s with value %s. %s.' % (attr_name, env_value, info)) + + +class ConfigFileNotFoundException(ConfigurationException): + """thrown when configuration file cannot be found in config folder""" + + def __init__(self, path: str) -> None: + super().__init__(f"Missing config file in {path}") diff --git a/dlt/common/configuration/gcp_client_configuration.py b/dlt/common/configuration/gcp_client_configuration.py new file mode 100644 index 0000000000..a27e7be754 --- /dev/null +++ b/dlt/common/configuration/gcp_client_configuration.py @@ -0,0 +1,34 @@ +from dlt.common.typing import StrStr +from dlt.common.configuration.utils import TConfigSecret + +class GcpClientConfiguration: + PROJECT_ID: str = None + DATASET: str = None + TIMEOUT: float = 30.0 + BQ_CRED_TYPE: str = "service_account" + BQ_CRED_PRIVATE_KEY: TConfigSecret = None + BQ_CRED_TOKEN_URI: str = "https://oauth2.googleapis.com/token" + BQ_CRED_CLIENT_EMAIL: str = None + + @classmethod + def check_integrity(cls) -> None: + if cls.BQ_CRED_PRIVATE_KEY and cls.BQ_CRED_PRIVATE_KEY[-1] != "\n": + # must end with new line, otherwise won't be parsed by Crypto + cls.BQ_CRED_PRIVATE_KEY = TConfigSecret(cls.BQ_CRED_PRIVATE_KEY + "\n") + + @classmethod + def to_service_credentials(cls) -> StrStr: + return { + "type": cls.BQ_CRED_TYPE, + "project_id": cls.PROJECT_ID, + "private_key": cls.BQ_CRED_PRIVATE_KEY, + "token_uri": cls.BQ_CRED_TOKEN_URI, + "client_email": cls.BQ_CRED_CLIENT_EMAIL + } + + +class GcpClientProductionConfiguration(GcpClientConfiguration): + PROJECT_ID: str = None + DATASET: str = None + BQ_CRED_PRIVATE_KEY: TConfigSecret = None + BQ_CRED_CLIENT_EMAIL: str = None diff --git a/dlt/common/configuration/loading_volume_configuration.py b/dlt/common/configuration/loading_volume_configuration.py new file mode 100644 index 0000000000..c970aa3108 --- /dev/null +++ b/dlt/common/configuration/loading_volume_configuration.py @@ -0,0 +1,6 @@ +class LoadingVolumeConfiguration: + LOADING_VOLUME_PATH: str = "_storage/loading" # path to volume where files to be loaded to analytical storage are stored + DELETE_COMPLETED_JOBS: bool = False # if set to true the folder with completed jobs will be deleted + +class ProductionLoadingVolumeConfiguration(LoadingVolumeConfiguration): + LOADING_VOLUME_PATH: str = None diff --git a/dlt/common/configuration/pool_runner_configuration.py b/dlt/common/configuration/pool_runner_configuration.py new file mode 100644 index 0000000000..6c9d96b72b --- /dev/null +++ b/dlt/common/configuration/pool_runner_configuration.py @@ -0,0 +1,13 @@ +from typing import Literal, Optional +from dlt.common.configuration import BasicConfiguration + +TPoolType = Literal["process", "thread", "none"] + +class PoolRunnerConfiguration(BasicConfiguration): + MAX_PARALLELISM: Optional[int] = None # how many threads/processes in the pool + EXIT_ON_EXCEPTION: bool = False # should exit on exception + STOP_AFTER_RUNS: int = 10000 # will stop runner with exit code -2 after so many runs, that prevents memory fragmentation + POOL_TYPE: TPoolType = None # type of pool to run, must be set in derived configs + RUN_SLEEP: float = 0.5 # how long to sleep between runs with workload, seconds + RUN_SLEEP_IDLE: float = 1.0 # how long to sleep when no more items are pending, seconds + RUN_SLEEP_WHEN_FAILED: float = 1.0 # how long to sleep between the runs when failed diff --git a/dlt/common/configuration/postgres_configuration.py b/dlt/common/configuration/postgres_configuration.py new file mode 100644 index 0000000000..67d277bee9 --- /dev/null +++ b/dlt/common/configuration/postgres_configuration.py @@ -0,0 +1,25 @@ +from dlt.common.configuration.utils import TConfigSecret + + +class PostgresConfiguration: + PG_DATABASE_NAME: str = None + PG_SCHEMA_PREFIX: str = None + PG_PASSWORD: TConfigSecret = None + PG_USER: str = None + PG_HOST: str = None + PG_PORT: int = 5439 + PG_CONNECTION_TIMEOUT: int = 15 + + @classmethod + def check_integrity(cls) -> None: + cls.PG_DATABASE_NAME = cls.PG_DATABASE_NAME.lower() + cls.PG_SCHEMA_PREFIX = cls.PG_SCHEMA_PREFIX.lower() + cls.PG_PASSWORD = TConfigSecret(cls.PG_PASSWORD.strip()) + + +class PostgresProductionConfiguration(PostgresConfiguration): + PG_DATABASE_NAME: str = None + PG_SCHEMA_PREFIX: str = None + PG_PASSWORD: TConfigSecret = None + PG_USER: str = None + PG_HOST: str = None diff --git a/dlt/common/configuration/schema_volume_configuration.py b/dlt/common/configuration/schema_volume_configuration.py new file mode 100644 index 0000000000..8bb9c83aca --- /dev/null +++ b/dlt/common/configuration/schema_volume_configuration.py @@ -0,0 +1,6 @@ +class SchemaVolumeConfiguration: + SCHEMA_VOLUME_PATH: str = "_storage/schemas" # path to volume with default schemas + + +class ProductionSchemaVolumeConfiguration: + SCHEMA_VOLUME_PATH: str = None diff --git a/dlt/common/configuration/unpacking_volume_configuration.py b/dlt/common/configuration/unpacking_volume_configuration.py new file mode 100644 index 0000000000..6b6cc3fe87 --- /dev/null +++ b/dlt/common/configuration/unpacking_volume_configuration.py @@ -0,0 +1,6 @@ +class UnpackingVolumeConfiguration: + UNPACKING_VOLUME_PATH: str = "_storage/unpacking" # path to volume where unpacking will happen + + +class ProductionUnpackingVolumeConfiguration: + UNPACKING_VOLUME_PATH: str = None diff --git a/dlt/common/configuration/utils.py b/dlt/common/configuration/utils.py new file mode 100644 index 0000000000..e5c5fdd0b0 --- /dev/null +++ b/dlt/common/configuration/utils.py @@ -0,0 +1,214 @@ +import sys +import semver +from os import environ +from os.path import isdir, isfile +from typing import Any, Dict, List, Mapping, NewType, Optional, Type, TypeVar, Union, Literal, IO, cast + +from dlt.common.typing import StrAny +from dlt.common.configuration import BasicConfiguration +from dlt.common.configuration.exceptions import (ConfigEntryMissingException, + ConfigEnvValueCannotBeCoercedException, ConfigFileNotFoundException) +from dlt.common.utils import uniq_id + +SIMPLE_TYPES: List[Any] = [int, bool, list, dict, tuple, bytes, set, float] +# those types and Optionals of those types should not be passed to eval function +NON_EVAL_TYPES = [str, None, Any] +# allows to coerce (type1 from type2) +ALLOWED_TYPE_COERCIONS = [(float, int), (str, int), (str, float)] +IS_DEVELOPMENT_CONFIG_KEY: str = "IS_DEVELOPMENT_CONFIG" +CHECK_INTEGRITY_F: str = "check_integrity" +SECRET_STORAGE_PATH: str = "/run/secrets/%s" + +TConfiguration = TypeVar("TConfiguration", bound=Type[BasicConfiguration]) +TProductionConfiguration = TypeVar("TProductionConfiguration", bound=Type[BasicConfiguration]) +TConfigSecret = NewType("TConfigSecret", str) + + +def make_configuration(config: TConfiguration, + production_config: TProductionConfiguration, + initial_values: StrAny = None, + accept_partial: bool = False, + skip_subclass_check: bool = False) -> TConfiguration: + if not skip_subclass_check: + assert issubclass(production_config, config) + + final_config: TConfiguration = config if _is_development_config() else production_config + possible_keys_in_config = _get_config_attrs_with_hints(final_config) + # create dynamic class type to not touch original config variables + derived_config: TConfiguration = cast(TConfiguration, + type(final_config.__name__ + "_" + uniq_id(), (final_config, ), {}) + ) + # apply initial values while preserving hints + if initial_values: + for k, v in initial_values.items(): + setattr(derived_config, k, v) + + _apply_environ_to_config(derived_config, possible_keys_in_config) + try: + _is_config_bounded(derived_config, possible_keys_in_config) + _check_configuration_integrity(derived_config) + except ConfigEntryMissingException: + if not accept_partial: + raise + _add_module_version(derived_config) + + return derived_config + + +def has_configuration_file(name: str, config: TConfiguration) -> bool: + return isfile(get_configuration_file_path(name, config)) + + +def open_configuration_file(name: str, mode: str, config: TConfiguration) -> IO[Any]: + path = get_configuration_file_path(name, config) + if not has_configuration_file(name, config): + raise ConfigFileNotFoundException(path) + return open(path, mode) + + +def get_configuration_file_path(name: str, config: TConfiguration) -> str: + return config.CONFIG_FILES_STORAGE_PATH % name + + +def is_direct_descendant(child: Type[Any], base: Type[Any]) -> bool: + # TODO: there may be faster way to get direct descendant that mro + # note: at index zero there's child + return base == type.mro(child)[1] + + +def _is_development_config() -> bool: + is_dev_config = True + + # get from environment + if IS_DEVELOPMENT_CONFIG_KEY in environ: + is_dev_config = _coerce_single_value(IS_DEVELOPMENT_CONFIG_KEY, environ[IS_DEVELOPMENT_CONFIG_KEY], bool) + return is_dev_config + + +def _add_module_version(config: TConfiguration) -> None: + try: + v = sys._getframe(1).f_back.f_globals["__version__"] + semver.VersionInfo.parse(v) + setattr(config, "_VERSION", v) # noqa: B010 + except KeyError: + pass + + +def _apply_environ_to_config(config: TConfiguration, keys_in_config: Mapping[str, type]) -> None: + for key, hint in keys_in_config.items(): + value = _get_key_value(key, hint) + if value is not None: + value_from_environment_variable = _coerce_single_value(key, value, hint) + # set value + setattr(config, key, value_from_environment_variable) + + +def _get_key_value(key: str, hint: Type[Any]) -> Optional[str]: + if hint is TConfigSecret: + # try secret storage + try: + # must conform to RFC1123 + secret_name = key.lower().replace("_", "-") + secret_path = SECRET_STORAGE_PATH % secret_name + # kubernetes stores secrets as files in a dir, docker compose plainly + if isdir(secret_path): + secret_path += "/" + secret_name + with open(secret_path, "r") as f: + secret = f.read() + # add secret to environ so forks have access + # TODO: removing new lines is not always good. for password OK for PEMs not + # TODO: in regular secrets that is dealt with in particular configuration logic + environ[key] = secret.strip() + # do not strip returned secret + return secret + + except FileNotFoundError: + pass + return environ.get(key, None) + + +def _is_config_bounded(config: TConfiguration, keys_in_config: Mapping[str, type]) -> None: + _unbound_attrs = [ + key for key in keys_in_config if getattr(config, key) is None and not _is_optional_type(keys_in_config[key]) + ] + + if len(_unbound_attrs) > 0: + raise ConfigEntryMissingException(_unbound_attrs) + + +def _check_configuration_integrity(config: TConfiguration) -> None: + # python multi-inheritance is cooperative and this would require that all configurations cooperatively + # call each other check_integrity. this is not at all possible as we do not know which configs in the end will + # be mixed together. + + # get base classes in order of derivation + mro = type.mro(config) + for c in mro: + # check if this class implements check_integrity (skip pure inheritance to not do double work) + if CHECK_INTEGRITY_F in c.__dict__ and callable(getattr(c, CHECK_INTEGRITY_F)): + # access unbounded __func__ to pass right class type so we check settings of the tip of mro + c.__dict__[CHECK_INTEGRITY_F].__func__(config) + + +def _coerce_single_value(key: str, value: str, hint: Type[Any]) -> Any: + try: + hint_primitive_type = _extract_simple_type(hint) + if hint_primitive_type not in NON_EVAL_TYPES: + # create primitive types out of strings + typed_value = eval(value) # nosec + # for primitive types check coercion + if hint_primitive_type in SIMPLE_TYPES and type(typed_value) != hint_primitive_type: + # allow some exceptions + coerce_exception = next( + (e for e in ALLOWED_TYPE_COERCIONS if e == (hint_primitive_type, type(typed_value))), None) + if coerce_exception: + return hint_primitive_type(typed_value) + else: + raise ConfigEnvValueCannotBeCoercedException(key, typed_value, hint) + return typed_value + else: + return value + except ConfigEnvValueCannotBeCoercedException: + raise + except Exception as exc: + raise ConfigEnvValueCannotBeCoercedException(key, value, hint) from exc + + +def _extract_simple_type(hint: Type[Any]) -> Type[Any]: + # extract optional type and call recursively + if _is_literal_type(hint): + # assume that all literals are of the same type + return _extract_simple_type(type(hint.__args__[0])) + if _is_optional_type(hint): + # todo: use `get_args` in python 3.8 + return _extract_simple_type(hint.__args__[0]) + if not hasattr(hint, "__supertype__"): + return hint + # descend into supertypes of NewType + return _extract_simple_type(hint.__supertype__) + + +def _get_config_attrs_with_hints(config: TConfiguration) -> Dict[str, type]: + keys: Dict[str, type] = {} + mro = type.mro(config) + for cls in reversed(mro): + # update in reverse derivation order so derived classes overwrite hints from base classes + if cls is not object: + keys.update( + [(attr, cls.__annotations__.get(attr, None)) + # if hasattr(config, '__annotations__') and attr in config.__annotations__ else None) + for attr in cls.__dict__.keys() if not callable(getattr(cls, attr)) and not attr.startswith("__") + ]) + return keys + + +def _is_optional_type(hint: Type[Any]) -> bool: + # todo: use typing get_args and get_origin in python 3.8 + if hasattr(hint, "__origin__"): + return hint.__origin__ is Union and type(None) in hint.__args__ + return False + + +def _is_literal_type(hint: Type[Any]) -> bool: + return hasattr(hint, "__origin__") and hint.__origin__ is Literal + diff --git a/dlt/common/dataset_writers.py b/dlt/common/dataset_writers.py new file mode 100644 index 0000000000..0a25e44cd2 --- /dev/null +++ b/dlt/common/dataset_writers.py @@ -0,0 +1,58 @@ +import jsonlines +from typing import Any, Iterable, Literal, Sequence, IO + +from dlt.common import json +from dlt.common.typing import StrAny + +TWriterType = Literal["jsonl", "insert_values"] + +def write_jsonl(f: IO[Any], rows: Sequence[Any]) -> None: + # use jsonl to write load files https://jsonlines.org/ + with jsonlines.Writer(f, dumps=json.dumps) as w: + w.write_all(rows) + + +def write_insert_values(f: IO[Any], rows: Sequence[StrAny], headers: Iterable[str]) -> None: + # dict lookup is always faster + headers_lookup = {v: i for i, v in enumerate(headers)} + # do not write INSERT INTO command, this must be added together with table name by the loader + f.write("INSERT INTO {}(") + f.write(",".join(map(escape_redshift_identifier, headers))) + f.write(")\nVALUES\n") + + def stringify(v: Any) -> str: + if type(v) is bytes: + return f"from_hex('{v.hex()}')" + else: + return str(v) + + def write_row(row: StrAny) -> None: + output = ["NULL" for _ in range(len(headers_lookup))] + for n,v in row.items(): + output[headers_lookup[n]] = escape_redshift_literal(v) if type(v) is str else stringify(v) + f.write("(") + f.write(",".join(output)) + f.write(")") + + for row in rows[:-1]: + write_row(row) + f.write(",\n") + + write_row(rows[-1]) + f.write(";") + + +def escape_redshift_literal(v: str) -> str: + # https://www.postgresql.org/docs/9.3/sql-syntax-lexical.html + # looks like this is the only thing we need to escape for Postgres > 9.1 + # redshift keeps \ as escape character which is pre 9 behavior + return "'" + v.replace("'", "''").replace("\\", "\\\\") + "'" + + +def escape_redshift_identifier(v: str) -> str: + return '"' + v.replace('"', '""').replace("\\", "\\\\") + '"' + + +def escape_bigquery_identifier(v: str) -> str: + # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical + return "`" + v.replace("\\", "\\\\").replace("`","\\`") + "`" diff --git a/dlt/common/exceptions.py b/dlt/common/exceptions.py new file mode 100644 index 0000000000..29d3aa5d3a --- /dev/null +++ b/dlt/common/exceptions.py @@ -0,0 +1,58 @@ +class DltException(Exception): + pass + + +class SignalReceivedException(DltException): + def __init__(self, signal_code: int) -> None: + self.signal_code = signal_code + super().__init__(f"Signal {signal_code} received") + + +class PoolException(DltException): + """ + Thrown by worker pool to pass information when thrown during processing an item + """ + def __init__(self, pool_name: str = None, item: str = None, internal_exception: Exception = None) -> None: + # we need it to make it pickle compatible + if pool_name: + self.pool_name = pool_name + self.item = item + self.internal_exception = internal_exception + super().__init__(f"Pool {pool_name} raised on item {item} with {str(internal_exception)}") + + +class UnsupportedProcessStartMethodException(DltException): + def __init__(self, method: str) -> None: + self.method = method + super().__init__(f"Process pool supports only fork start method, {method} not supported. Switch the pool type to threading") + + +class TerminalException(Exception): + """ + Marks an exception that cannot be recovered from, should be mixed in into concrete exception class + """ + pass + + +class TransientException(Exception): + """ + Marks an exception in operation that can be retried, should be mixed in into concrete exception class + """ + pass + + +class TerminalValueError(ValueError, TerminalException): + """ + ValueError that is unrecoverable + """ + pass + + +class TimeRangeExhaustedException(DltException): + """ + Raised when backfilling complete and no more time ranges can be generated + """ + def __init__(self, start_ts: float, end_ts: float) -> None: + self.start_ts = start_ts + self.end_ts = end_ts + super().__init__(f"Timerange ({start_ts} to {end_ts}> exhausted") diff --git a/dlt/common/file_storage.py b/dlt/common/file_storage.py new file mode 100644 index 0000000000..32d9f02e34 --- /dev/null +++ b/dlt/common/file_storage.py @@ -0,0 +1,135 @@ +import os +import tempfile +import shutil +from pathlib import Path +from typing import IO, Any, List + + +class FileStorage: + def __init__(self, + storage_path: str, + file_type: str = "t", + makedirs: bool = False) -> None: + # make it absolute path + self.storage_path = os.path.join(os.path.realpath(storage_path), '') + self.file_type = file_type + if makedirs: + os.makedirs(storage_path, exist_ok=True) + + @classmethod + def from_file(cls, file_path: str, file_type: str = "t",) -> "FileStorage": + return cls(os.path.dirname(file_path), file_type) + + def save(self, relative_path: str, data: Any) -> str: + return self.save_atomic(self.storage_path, relative_path, data, file_type=self.file_type) + + @staticmethod + def save_atomic(storage_path: str, relative_path: str, data: Any, file_type: str = "t") -> str: + with tempfile.NamedTemporaryFile(dir=storage_path, mode="w" + file_type, delete=False) as f: + tmp_path = f.name + f.write(data) + try: + dest_path = os.path.join(storage_path, relative_path) + os.rename(tmp_path, dest_path) + return dest_path + except Exception: + if os.path.isfile(tmp_path): + os.remove(tmp_path) + raise + + def load(self, relative_path: str) -> Any: + # raises on file not existing + with self.open(relative_path) as text_file: + return text_file.read() + + def delete(self, relative_path: str) -> None: + file_path = self._make_path(relative_path) + if os.path.isfile(file_path): + os.remove(file_path) + else: + raise FileNotFoundError(file_path) + + def delete_folder(self, relative_path: str, recursively: bool = False) -> None: + folder_path = self._make_path(relative_path) + if os.path.isdir(folder_path): + if recursively: + shutil.rmtree(folder_path) + else: + os.rmdir(folder_path) + else: + raise NotADirectoryError(folder_path) + + def open(self, realtive_path: str, mode: str = "r") -> IO[Any]: + return open(self._make_path(realtive_path), mode + self.file_type) + + def open_temp(self, delete: bool = False, mode: str = "w", file_type: str = None) -> IO[Any]: + ft = file_type or self.file_type + return tempfile.NamedTemporaryFile(dir=self.storage_path, mode=mode + ft, delete=delete) + + def has_file(self, relative_path: str) -> bool: + return os.path.isfile(self._make_path(relative_path)) + + def has_folder(self, relative_path: str) -> bool: + return os.path.isdir(self._make_path(relative_path)) + + def list_folder_files(self, relative_path: str, to_root: bool = True) -> List[str]: + scan_path = self._make_path(relative_path) + if to_root: + # list files in relative path, returning paths relative to storage root + return [os.path.join(relative_path, e.name) for e in os.scandir(scan_path) if e.is_file()] + else: + # or to the folder + return [e.name for e in os.scandir(scan_path) if e.is_file()] + + def list_folder_dirs(self, relative_path: str, to_root: bool = True) -> List[str]: + # list content of relative path, returning paths relative to storage root + scan_path = self._make_path(relative_path) + if to_root: + # list folders in relative path, returning paths relative to storage root + return [os.path.join(relative_path, e.name) for e in os.scandir(scan_path) if e.is_dir()] + else: + # or to the folder + return [e.name for e in os.scandir(scan_path) if e.is_dir()] + + def create_folder(self, relative_path: str, exists_ok: bool = False) -> None: + os.makedirs(self._make_path(relative_path), exist_ok=exists_ok) + + def copy_cross_storage_atomically(self, dest_volume_root: str, dest_relative_path: str, source_path: str, dest_name: str) -> None: + external_tmp_file = tempfile.mktemp(dir=dest_volume_root) + # first copy to temp file + shutil.copy(self._make_path(source_path), external_tmp_file) + # then rename to dest name + external_dest = os.path.join(dest_volume_root, dest_relative_path, dest_name) + try: + os.rename(external_tmp_file, external_dest) + except Exception: + if os.path.isfile(external_tmp_file): + os.remove(external_tmp_file) + raise + + def atomic_rename(self, from_relative_path: str, to_relative_path: str) -> None: + os.rename( + self._make_path(from_relative_path), + self._make_path(to_relative_path) + ) + + def in_storage(self, path: str) -> bool: + file = os.path.realpath(path) + # return true, if the common prefix of both is equal to directory + # e.g. /a/b/c/d.rst and directory is /a/b, the common prefix is /a/b + return os.path.commonprefix([file, self.storage_path]) == self.storage_path + + def to_relative_path(self, path: str) -> str: + if not self.in_storage(path): + raise ValueError(path) + return os.path.relpath(path, start=self.storage_path) + + def get_file_stem(self, path: str) -> str: + return Path(os.path.basename(path)).stem + + def get_file_name(self, path: str) -> str: + return Path(path).name + + def _make_path(self, relative_path: str) -> str: + return os.path.join(self.storage_path, relative_path) + diff --git a/dlt/common/json.py b/dlt/common/json.py new file mode 100644 index 0000000000..53c463b5d5 --- /dev/null +++ b/dlt/common/json.py @@ -0,0 +1,46 @@ +import base64 +from datetime import date, datetime # noqa: I251 +from functools import partial +from typing import Any, Union +from uuid import UUID +from hexbytes import HexBytes +import simplejson +from simplejson.raw_json import RawJSON + +from dlt.common.arithmetics import Decimal + +# simplejson._toggle_speedups(False) + +def custom_encode(obj: Any) -> Union[RawJSON, str]: + if isinstance(obj, Decimal): + # always return decimals as string (not RawJSON) so they are not deserialized back to float + return str(obj.normalize()) + # this works both for standard datetime and pendulum + elif isinstance(obj, datetime): + # See "Date Time String Format" in the ECMA-262 specification. + r = obj.isoformat() + # leave microseconds alone + # if obj.microsecond: + # r = r[:23] + r[26:] + if r.endswith('+00:00'): + r = r[:-6] + 'Z' + return r + elif isinstance(obj, date): + return obj.isoformat() + elif isinstance(obj, UUID): + return str(obj) + elif isinstance(obj, HexBytes): + return obj.hex() + elif isinstance(obj, bytes): + return base64.b64encode(obj).decode('ascii') + raise TypeError(repr(obj) + " is not JSON serializable") + + +simplejson.loads = partial(simplejson.loads, use_decimal=False) +simplejson.load = partial(simplejson.load, use_decimal=False) +# prevent default decimal serializer (use_decimal=False) and binary serializer (encoding=None) +simplejson.dumps = partial(simplejson.dumps, use_decimal=False, default=custom_encode, encoding=None) +simplejson.dump = partial(simplejson.dump, use_decimal=False, default=custom_encode, encoding=None) + +# provide drop-in replacement +json = simplejson diff --git a/dlt/common/logger.py b/dlt/common/logger.py new file mode 100644 index 0000000000..22592538bb --- /dev/null +++ b/dlt/common/logger.py @@ -0,0 +1,207 @@ +import logging +import json_logging +import traceback +import sentry_sdk +from sentry_sdk.transport import HttpTransport +from logging import LogRecord, Logger +from typing import Any, Callable, Dict, Type + +from dlt.common.json import json +from dlt.common.typing import DictStrAny, DictStrStr, StrStr +from dlt.common.configuration import BasicConfiguration +from dlt.common.utils import filter_env_vars +from dlt._version import common_version as __version__ + +DLT_LOGGER_NAME = "sv-dlt" +LOGGER: Logger = None + +def _add_logging_level(level_name: str, level: int, method_name:str = None) -> None: + """ + Comprehensively adds a new logging level to the `logging` module and the + currently configured logging class. + + `levelName` becomes an attribute of the `logging` module with the value + `levelNum`. `methodName` becomes a convenience method for both `logging` + itself and the class returned by `logging.getLoggerClass()` (usually just + `logging.Logger`). If `methodName` is not specified, `levelName.lower()` is + used. + + To avoid accidental clobberings of existing attributes, this method will + raise an `AttributeError` if the level name is already an attribute of the + `logging` module or if the method name is already present + + """ + if not method_name: + method_name = level_name.lower() + + if hasattr(logging, level_name): + raise AttributeError('{} already defined in logging module'.format(level_name)) + if hasattr(logging, method_name): + raise AttributeError('{} already defined in logging module'.format(method_name)) + if hasattr(logging.getLoggerClass(), method_name): + raise AttributeError('{} already defined in logger class'.format(method_name)) + + # This method was inspired by the answers to Stack Overflow post + # http://stackoverflow.com/q/2183233/2988730, especially + # http://stackoverflow.com/a/13638084/2988730 + def logForLevel(self: logging.Logger, message: str, *args: Any, **kwargs: Any) -> None: + if self.isEnabledFor(level): + self._log(level, message, args, **kwargs) + def logToRoot(message: str, *args: Any, **kwargs: Any) -> None: + logging.root._log(level, message, args, **kwargs) + + logging.addLevelName(level, level_name) + setattr(logging, level_name, level) + setattr(logging.getLoggerClass(), method_name, logForLevel) + setattr(logging, method_name, logToRoot) + + +class _MetricsFormatter(logging.Formatter): + def format(self, record: LogRecord) -> str: + s = super(_MetricsFormatter, self).format(record) + if record.exc_text: + s = s + '|' + # dump metrics dictionary nicely + if "metrics" in record.__dict__: + s = s + ": " + json.dumps(record.__dict__["metrics"]) + return s + + +class _CustomJsonFormatter(json_logging.JSONLogFormatter): + + version: StrStr = None + + def _format_log_object(self, record: LogRecord, request_util: Any) -> Any: + json_log_object = super(_CustomJsonFormatter, self)._format_log_object(record, request_util) + if self.version: + json_log_object.update({"version": self.version}) + return json_log_object + + +def _init_logging(logger_name: str, level: str, format: str, component: str, version: StrStr) -> Logger: + if logger_name == "root": + logging.basicConfig(level=level) + handler = logging.getLogger().handlers[0] + # handler.setFormatter(_MetricsFormatter(fmt=format, style='{')) + logger = logging.getLogger() + else: + logger = logging.getLogger(DLT_LOGGER_NAME) + logger.propagate = False + logger.setLevel(level) + handler = logging.StreamHandler() + # handler.setFormatter(_MetricsFormatter(fmt=format, style='{')) + logger.addHandler(handler) + + # set right formatter + if is_json_logging(format): + json_logging.COMPONENT_NAME = component + json_logging.JSON_SERIALIZER = json.dumps + json_logging.RECORD_ATTR_SKIP_LIST.remove("process") + # set version as class variable as we cannot pass custom constructor parameters + _CustomJsonFormatter.version = version + # the only thing method above effectively does is to replace the formatter + json_logging.init_non_web(enable_json=True, custom_formatter=_CustomJsonFormatter) + if logger_name == "root": + json_logging.config_root_logger() + else: + handler.setFormatter(_MetricsFormatter(fmt=format, style='{')) + + return logger + + +def __getattr__(name: str) -> Callable[..., Any]: + # a catch all function for a module that forwards calls to unknown methods to LOGGER + def wrapper(msg: str, *args: Any, **kwargs: Any) -> None: + if LOGGER: + getattr(LOGGER, name)(msg, *args, **kwargs, stacklevel=2) + return wrapper + + +def _extract_version_info(config: Type[BasicConfiguration]) -> StrStr: + version_info = {"version": __version__, "component_name": config.NAME} + version = getattr(config, "_VERSION", None) + if version: + version_info["component_version"] = version + # extract envs with build info + version_info.update(filter_env_vars(["COMMIT_SHA", "IMAGE_VERSION"])) + return version_info + + +def _extract_pod_info() -> StrStr: + return filter_env_vars(["KUBE_NODE_NAME", "KUBE_POD_NAME", "KUBE_POD_NAMESPACE"]) + +class _SentryHttpTransport(HttpTransport): + + timeout: int = 0 + + def _get_pool_options(self, *a: Any, **kw: Any) -> DictStrAny: + rv = HttpTransport._get_pool_options(self, *a, **kw) + rv['timeout'] = self.timeout + return rv + + +def _init_sentry(config: Type[BasicConfiguration], version: StrStr) -> None: + if config.SENTRY_DSN: + global sentry_client + + sys_ver = version["version"] + release = sys_ver + "_" + version.get("commit_sha", "") + _SentryHttpTransport.timeout = config.REQUEST_TIMEOUT[0] + # TODO: setup automatic sending of log messages by log level (ie. we send a lot dbt trash logs) + # https://docs.sentry.io/platforms/python/guides/logging/ + sentry_sdk.init(config.SENTRY_DSN, release=release, transport=_SentryHttpTransport) + # add version tags + for k, v in version.items(): + sentry_sdk.set_tag(k, v) + # add kubernetes tags + pod_tags = _extract_pod_info() + for k, v in pod_tags.items(): + sentry_sdk.set_tag(k, v) + + +def init_telemetry(config: Type[BasicConfiguration]) -> None: + if config.PROMETHEUS_PORT: + from prometheus_client import start_http_server, Info + + logging.info(f"Starting prometheus server port {config.PROMETHEUS_PORT}") + start_http_server(config.PROMETHEUS_PORT) + # collect info + Info("runs_component_name", "Name of the executing component").info(_extract_version_info(config)) + + +def init_logging_from_config(config: Type[BasicConfiguration]) -> None: + global LOGGER + + # add HEALTH and METRICS log levels + _add_logging_level("HEALTH", logging.WARNING - 1, "health") + _add_logging_level("METRICS", logging.WARNING - 2, "metrics") + + version = _extract_version_info(config) + LOGGER = _init_logging( + DLT_LOGGER_NAME, + # "root", + config.LOG_LEVEL, + config.LOG_FORMAT, + config.NAME, + version) + _init_sentry(config, version) + + +def is_json_logging(log_format: str) -> bool: + return log_format == "JSON" + + +def process_internal_exception(msg: str, exc_info: Any = True) -> None: + # Passing default True value will cause implementation to use data provided by sys.exc_info + if LOGGER: + LOGGER.error(msg, exc_info=exc_info, stacklevel=2) + report_exception() + + +def report_exception() -> None: + if sentry_sdk.Hub.current: + sentry_sdk.capture_exception() + + +def pretty_format_exception() -> str: + return traceback.format_exc() diff --git a/dlt/common/parser.py b/dlt/common/parser.py new file mode 100644 index 0000000000..9f9ade4b8e --- /dev/null +++ b/dlt/common/parser.py @@ -0,0 +1,147 @@ +import re +from typing import Iterator, Optional, Tuple, Callable, cast + +from dlt.common import json +from dlt.common.schema import Schema +from dlt.common.utils import uniq_id, digest128 +from dlt.common.typing import TEvent, TEventRowChild, TEventRowRoot, StrAny + + +# I(table name, row data) +TUnpackedRowIterator = Iterator[Tuple[str, StrAny]] +TExtractFunc = Callable[[Schema, TEvent, str, bool], TUnpackedRowIterator] + +RE_UNDERSCORES = re.compile("_+") +RE_LEADING_DIGITS = re.compile(r"^\d+") +INVALID_SQL_IDENT_CHARS = "- *!:,.'\\\"`" +INVALID_SQL_TX = str.maketrans(INVALID_SQL_IDENT_CHARS, "_" * len(INVALID_SQL_IDENT_CHARS)) + +# subsequent nested fields will be separated with the string below, applies both to field and table names +PATH_SEPARATOR = "__" + +# for those paths the complex nested objects should be left in place +# current use case: we want to preserve event_slot__value in db even if it's an object +# TODO: pass table definition and accept complex type +def _should_preserve_complex_value(table: str, field_name: str) -> bool: + path = f"{table}{PATH_SEPARATOR}{field_name}" + return path in ["event_slot__value"] + + +def _fix_field_name(name: str) -> str: + + def camel_to_snake(name: str) -> str: + name = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', name) + return re.sub('([a-z0-9])([A-Z])', r'\1_\2', name).lower() + + # fix field name so it's an acceptable name for a database column + # all characters that are not letters digits or a few special chars + name = camel_to_snake(name.translate(INVALID_SQL_TX)) + name = RE_LEADING_DIGITS.sub("_", name) + # replace consecutive underscores with single one to prevent name clashes with parent child + return RE_UNDERSCORES.sub("_", name) + + +def _flatten(table: str, dict_row: TEventRowChild) -> TEventRowChild: + out_rec_row: TEventRowChild = {} + + def unpack_row_dicts(dict_row: StrAny, parent_name: Optional[str]) -> None: + for k, v in dict_row.items(): + corrected_k = _fix_field_name(k) + child_name = corrected_k if not parent_name else f'{parent_name}{PATH_SEPARATOR}{corrected_k}' + if type(v) is dict: + unpack_row_dicts(v, parent_name=child_name) + if _should_preserve_complex_value(table, child_name): + out_rec_row[child_name] = v # type: ignore + else: + out_rec_row[child_name] = v # type: ignore + + unpack_row_dicts(dict_row, None) + return out_rec_row + + +def _get_child_row_hash(parent_hash: str, child_table: str, list_pos: int) -> str: + # create deterministic unique id of the child row taking into account that all lists are ordered + # and all child tables must be lists + return digest128(f"{parent_hash}_{child_table}_{list_pos}") + + +def _unpack_row( + schema: Schema, + dict_row: TEventRowChild, + extend: TEventRowChild, + table: str, + parent_hash: Optional[str] = None, + pos: Optional[int] = None + ) -> TUnpackedRowIterator: + + def _append_child_meta(_row: TEventRowChild, _hash: str, _p_hash: str, _p_pos: int) -> TEventRowChild: + _row["_parent_hash"] = _p_hash + _row["_pos"] = _p_pos + _row.update(extend) + + return _row + + is_top_level = parent_hash is None + + # flatten current row + new_dict_row = _flatten(table, dict_row) + # infer record hash or leave existing primary key if present + record_hash = new_dict_row.get("_record_hash", None) + if not record_hash: + # check if we have primary key: if so use it + primary_key = schema.filter_hints_in_row(table, "primary_key", new_dict_row) + if primary_key: + # create row id from primary key + record_hash = digest128("_".join(map(lambda v: str(v), primary_key.values()))) + elif not is_top_level: + # child table row deterministic hash + record_hash = _get_child_row_hash(parent_hash, table, pos) + # link to parent table + _append_child_meta(new_dict_row, record_hash, parent_hash, pos) + else: + # create random row id, note that incremental loads will not work with such tables + record_hash = uniq_id() + new_dict_row["_record_hash"] = record_hash + + # if _root_hash propagation requested and we are at the top level then update extend + if "_root_hash" in extend and extend["_root_hash"] is None and is_top_level: + extend["_root_hash"] = record_hash + + # generate child tables only for lists + children = [k for k in new_dict_row if type(new_dict_row[k]) is list] # type: ignore + for k in children: + child_table = f"{table}{PATH_SEPARATOR}{k}" + # this will skip empty lists + v: TEventRowChild + for idx, v in enumerate(new_dict_row[k]): # type: ignore + # yield child table row + if type(v) is dict: + yield from _unpack_row(schema, v, extend, child_table, record_hash, idx) + elif type(v) is list: + # unpack lists of lists + raise ValueError(v) + else: + # list of simple types + child_row_hash = _get_child_row_hash(record_hash, child_table, idx) + e = _append_child_meta({"value": v, "_record_hash": child_row_hash}, child_row_hash, record_hash, idx) + yield child_table, e + if not _should_preserve_complex_value(table, k): + # remove child list + del new_dict_row[k] # type: ignore + + yield table, new_dict_row + + +def extract(schema: Schema, source_event: TEvent, load_id: str, add_json: bool) -> TUnpackedRowIterator: + # we will extend event with all the fields necessary to load it as root row + event = cast(TEventRowRoot, source_event) + # identify load id if loaded data must be processed after loading incrementally + event["_load_id"] = load_id + # add original json field, mostly useful for debugging + if add_json: + event["_event_json"] = json.dumps(event) + # find table name + table_name = event.pop("_event_type", None) or schema.schema_name + # TODO: if table_name exist get "_dist_key" and "_timestamp" from the table definition in schema and propagate, if not take them from global hints + # use event type or schema name as table name, request _root_hash propagation + yield from _unpack_row(schema, cast(TEventRowChild, event), {"_root_hash": None}, table_name) diff --git a/dlt/common/pendulum.py b/dlt/common/pendulum.py new file mode 100644 index 0000000000..199b1053d7 --- /dev/null +++ b/dlt/common/pendulum.py @@ -0,0 +1,16 @@ +import pendulum # noqa: I251 + +# force UTC as the local timezone to prevent local dates to be written to dbs +pendulum.set_local_timezone(pendulum.timezone('UTC')) # type: ignore + + +def __utcnow() -> pendulum.DateTime: + """ + Use this function instead of datetime.now + Returns: + pendulum.DateTime -- current time in UTC timezone + """ + return pendulum.now() + + +pendulum.utcnow = __utcnow # type: ignore diff --git a/dlt/common/runners.py b/dlt/common/runners.py new file mode 100644 index 0000000000..5f5b44fce8 --- /dev/null +++ b/dlt/common/runners.py @@ -0,0 +1,181 @@ +import argparse +import multiprocessing +from prometheus_client import Counter, Gauge, Summary, CollectorRegistry, REGISTRY +from typing import Callable, Dict, NamedTuple, Optional, Type, TypeVar, Union, cast +from multiprocessing.pool import ThreadPool, Pool + +from dlt.common import logger, signals +from dlt.common.configuration.basic_configuration import BasicConfiguration +from dlt.common.time import sleep +from dlt.common.telemetry import TRunHealth, TRunMetrics, get_logging_extras, get_metrics_from_prometheus +from dlt.common.logger import init_logging_from_config, init_telemetry, process_internal_exception +from dlt.common.signals import register_signals +from dlt.common.utils import str2bool +from dlt.common.exceptions import SignalReceivedException, TimeRangeExhaustedException, UnsupportedProcessStartMethodException +from dlt.common.configuration import PoolRunnerConfiguration + +TPool = TypeVar("TPool", bound=Pool) + + +class TRunArgs(NamedTuple): + single_run: bool + wait_runs: int + + +RUN_ARGS = TRunArgs(False, 0) + +HEALTH_PROPS_GAUGES: Dict[str, Union[Counter, Gauge]] = None +RUN_DURATION_GAUGE: Gauge = None +RUN_DURATION_SUMMARY: Summary = None + +LAST_RUN_METRICS: TRunMetrics = None +LAST_RUN_EXCEPTION: BaseException = None + +def create_gauges(registry: CollectorRegistry) -> None: + global HEALTH_PROPS_GAUGES, RUN_DURATION_GAUGE, RUN_DURATION_SUMMARY + + HEALTH_PROPS_GAUGES = { + "runs_count": Counter("runs_count", "Count runs", registry=registry), + "runs_not_idle_count": Counter("runs_not_idle_count", "Count not idle runs", registry=registry), + "runs_healthy_count": Counter("runs_healthy_count", "Count healthy runs", registry=registry), + "runs_cs_healthy_gauge": Gauge("runs_cs_healthy_gauge", "Count consecutive healthy runs, reset on failed run", registry=registry), + "runs_failed_count": Counter("runs_failed_count", "Count failed runs", registry=registry), + "runs_cs_failed_gauge": Gauge("runs_cs_failed_gauge", "Count consecutive failed runs, reset on healthy run", registry=registry), + "runs_pending_items_gauge": Gauge("runs_pending_items_gauge", "Number of items pending at the end of the run", registry=registry), + } + + RUN_DURATION_GAUGE = Gauge("runs_duration_seconds", "Duration of the run", registry=registry) + RUN_DURATION_SUMMARY = Summary("runs_duration_summary", "Summary of the run duration", registry=registry) + + +def update_gauges() -> TRunHealth: + return get_metrics_from_prometheus(HEALTH_PROPS_GAUGES.values()) # type: ignore + + +def str2bool_a(v: str) -> bool: + try: + return str2bool(v) + except ValueError: + raise argparse.ArgumentTypeError('Boolean value expected.') + + +def create_default_args(C: Type[PoolRunnerConfiguration]) -> argparse.ArgumentParser: + parser = argparse.ArgumentParser(description=f"Default runner for {C.NAME}") + add_pool_cli_arguments(parser) + return parser + + +def add_pool_cli_arguments(parser: argparse.ArgumentParser) -> None: + parser.add_argument("--single-run", type=str2bool_a, nargs='?', const=True, default=False, help="exit when all pending items are processed") + parser.add_argument("--wait-runs", type=int, nargs='?', const=True, default=1, help="maximum idle runs to wait for incoming data") + + + +def initialize_runner(C: Type[BasicConfiguration], run_args: Optional[TRunArgs] = None) -> None: + global RUN_ARGS + + init_logging_from_config(C) + init_telemetry(C) + create_gauges(REGISTRY) + register_signals() + if run_args is not None: + RUN_ARGS = run_args + + +def pool_runner(C: Type[PoolRunnerConfiguration], run_f: Callable[[TPool], TRunMetrics]) -> int: + # start pool + pool: Pool = None + if C.POOL_TYPE == "process": + # our pool implementation do not work on spawn + if multiprocessing.get_start_method() != "fork": + raise UnsupportedProcessStartMethodException(multiprocessing.get_start_method()) + pool = Pool(processes=C.MAX_PARALLELISM) + elif C.POOL_TYPE == "thread": + pool = ThreadPool(processes=C.MAX_PARALLELISM) + else: + pool = None + logger.info(f"Created {C.POOL_TYPE} pool with {C.MAX_PARALLELISM or 'default no.'} workers") + + + try: + while True: + run_metrics: TRunMetrics = None + try: + HEALTH_PROPS_GAUGES["runs_count"].inc() + # run pool logic + with RUN_DURATION_SUMMARY.time(), RUN_DURATION_GAUGE.time(): + run_metrics = run_f(cast(TPool, pool)) + except Exception as exc: + if (type(exc) is SignalReceivedException) or (type(exc) is TimeRangeExhaustedException): + # always exit + raise + else: + process_internal_exception("run") + # the run failed + run_metrics = TRunMetrics(True, True, -1) + # preserve exception + global LAST_RUN_EXCEPTION + LAST_RUN_EXCEPTION = exc + + # gather and emit metrics + if not run_metrics.was_idle: + HEALTH_PROPS_GAUGES["runs_not_idle_count"].inc() + if run_metrics.has_failed: + HEALTH_PROPS_GAUGES["runs_failed_count"].inc() + HEALTH_PROPS_GAUGES["runs_cs_failed_gauge"].inc() + HEALTH_PROPS_GAUGES["runs_cs_healthy_gauge"].set(0) + else: + HEALTH_PROPS_GAUGES["runs_healthy_count"].inc() + HEALTH_PROPS_GAUGES["runs_cs_healthy_gauge"].inc() + HEALTH_PROPS_GAUGES["runs_cs_failed_gauge"].set(0) + HEALTH_PROPS_GAUGES["runs_pending_items_gauge"].set(run_metrics.pending_items) + health_props = update_gauges() + logger.health("run health counters", extra={"metrics": health_props}) + logger.metrics("run metrics", extra=get_logging_extras([RUN_DURATION_GAUGE, RUN_DURATION_SUMMARY])) + + # preserve last run metrics + global LAST_RUN_METRICS + LAST_RUN_METRICS = run_metrics + + # exit due to signal + signals.raise_if_signalled() + + # exit due to exception and flag + if run_metrics.has_failed and C.EXIT_ON_EXCEPTION: + logger.warning(f"Exiting runner due to EXIT_ON_EXCEPTION flag set") + return -1 + + # single run may be forced but at least wait_runs must pass + if RUN_ARGS.single_run and (health_props["runs_count"] >= RUN_ARGS.wait_runs and + # and was all the time idle or (was not idle but now pending is 0) + (health_props["runs_not_idle_count"] == 0 or run_metrics.pending_items == 0)): + logger.warning(f"Stopping runner due to single run override") + return 0 + + if run_metrics.has_failed: + sleep(C.RUN_SLEEP_WHEN_FAILED) + elif run_metrics.pending_items == 0: + # nothing is pending so we can sleep longer + sleep(C.RUN_SLEEP_IDLE) + else: + # more items are pending, sleep (typically) shorter + sleep(C.RUN_SLEEP) + + # this allows to recycle long living process that get their memory fragmented + # exit after runners sleeps so we keep the running period + if health_props["runs_count"] == C.STOP_AFTER_RUNS: + logger.warning(f"Stopping runner due to max runs {health_props['runs_count']} exceeded") + return -2 + except SignalReceivedException as sigex: + # sleep this may raise SignalReceivedException + logger.warning(f"Exiting runner due to signal {sigex.signal_code}") + return sigex.signal_code + except TimeRangeExhaustedException as tre: + logger.info(f"{str(tre)}, not further processing will be done") + return 0 + finally: + if pool: + logger.info("Closing processing pool") + pool.close() + pool.join() + pool = None diff --git a/dlt/common/schema.py b/dlt/common/schema.py new file mode 100644 index 0000000000..078ae26c01 --- /dev/null +++ b/dlt/common/schema.py @@ -0,0 +1,575 @@ +import base64 +import binascii +import yaml +import re +from re import Pattern +from copy import deepcopy +from dateutil.parser import isoparse +from typing import Dict, List, Set, Mapping, Optional, Sequence, Tuple, Type, TypedDict, Literal, Any, cast + +from dlt.common import pendulum, json, Decimal +from dlt.common.typing import DictStrAny, StrAny, StrStr +from dlt.common.arithmetics import ConversionSyntax +from dlt.common.exceptions import DltException + +DataType = Literal["text", "double", "bool", "timestamp", "bigint", "binary", "complex", "decimal", "wei"] +HintType = Literal["not_null", "partition", "cluster", "primary_key", "foreign_key", "sort", "unique"] +ColumnProp = Literal["name", "data_type", "nullable", "partition", "cluster", "primary_key", "foreign_key", "sort", "unique"] + +DATA_TYPES: Set[DataType] = set(["text", "double", "bool", "timestamp", "bigint", "binary", "complex", "decimal", "wei"]) +COLUMN_PROPS: Set[ColumnProp] = set(["name", "data_type", "nullable", "partition", "cluster", "primary_key", "foreign_key", "sort", "unique"]) +COLUMN_HINTS: Set[HintType] = set(["partition", "cluster", "primary_key", "foreign_key", "sort", "unique"]) + +class ColumnBase(TypedDict, total=True): + name: str + data_type: DataType + nullable: bool + +class Column(ColumnBase, total=True): + partition: bool + cluster: bool + unique: bool + sort: bool + primary_key: bool + foreign_key: bool + +Table = Dict[str, Column] +SchemaTables = Dict[str, Table] +SchemaUpdate = Dict[str, List[Column]] + + +class StoredSchema(TypedDict, total=True): + version: int + engine_version: int + name: str + tables: SchemaTables + preferred_types: Mapping[str, DataType] + hints: Mapping[HintType, Sequence[str]] + excludes: Sequence[str] + includes: Sequence[str] + + +class Schema: + + VERSION_TABLE_NAME = "_version" + VERSION_COLUMN_NAME = "version" + LOADS_TABLE_NAME = "_loads" + ENGINE_VERSION = 2 + + def __init__(self, name: str) -> None: + self._schema_tables: SchemaTables = {} + self._schema_name: str = name + self._version = 1 + # list of preferred types: map regex on columns into types + self._preferred_types: Mapping[str, DataType] = {} + # compiled regexes + self._compiled_preferred_types: List[Tuple[Pattern[str], DataType]] = [] + # table hints + self._hints: Mapping[HintType, Sequence[str]] = {} + self._compiled_hints: Dict[HintType, Sequence[Pattern[str]]] = {} + # excluded paths + self._excludes: Sequence[str] = [] + self._compiled_excludes: Sequence[Pattern[str]] = [] + # included paths + self._includes: Sequence[str] = [] + self._compiled_includes: Sequence[Pattern[str]] = [] + # add version table + self._add_standard_tables() + # add standard hints + self._add_standard_hints() + # compile hints + self._compile_regexes() + + @classmethod + def from_dict(cls, stored_schema: StoredSchema) -> "Schema": + # upgrade engine if needed + cls._upgrade_engine_version(stored_schema, stored_schema["engine_version"], cls.ENGINE_VERSION) + # create new instance from dict + self: Schema = cls(stored_schema["name"]) + self._schema_tables = stored_schema["tables"] + # TODO: generate difference if STANDARD SCHEMAS are different than those and increase schema version + if Schema.VERSION_TABLE_NAME not in self._schema_tables: + raise SchemaCorruptedException(f"Schema must contain table {Schema.VERSION_TABLE_NAME}") + if Schema.LOADS_TABLE_NAME not in self._schema_tables: + raise SchemaCorruptedException(f"Schema must contain table {Schema.LOADS_TABLE_NAME}") + # verify table schemas + for table_name, table in self._schema_tables.items(): + for column_name in table: + # add default hints to tables + column = self._add_missing_hints(table[column_name]) + # overwrite column name + column["name"] = column_name + # verify column + self._verify_column(table_name, column_name, column) + table[column_name] = column + self._version = stored_schema["version"] + self._preferred_types = stored_schema["preferred_types"] + self._hints = stored_schema["hints"] + self._excludes = stored_schema["excludes"] + self._includes = stored_schema["includes"] + # compile regexes + self._compile_regexes() + + return self + + def filter_row(self, table_name: str, row: StrAny, path_separator: str) -> StrAny: + # include and exclude paths follow the naming convention of the unpacker and correspond to json document nesting + # current version of the unpacker separates json elements with __ + + def _exclude(path: str) -> bool: + is_included = False + is_excluded = any(exclude.search(path) for exclude in self._compiled_excludes) + if is_excluded: + # we may have exception if explicitely included + is_included = any(include.search(path) for include in self._compiled_includes) + return is_excluded and not is_included + + # check if any of the rows is excluded + for field_name in list(row.keys()): + path = f"{table_name}{path_separator}{field_name}" + # excluded if any rule matches + if _exclude(path): + # TODO: copy to new instance + del row[field_name] # type: ignore + return row + + def coerce_row(self, table_name: str, row: StrAny) -> Tuple[StrAny, List[Column]]: + table_schema: Table = self._schema_tables.get(table_name, {}) + new_columns: List[Column] = [] + new_row: DictStrAny = {} + for col_name, v in row.items(): + # skip None values, we should infer the types later + if v is None: + # just check if column is nullable if exists + self._coerce_null_value(table_schema, table_name, col_name) + else: + new_col_name, new_col_def, new_v = self._coerce_non_null_value(table_schema, table_name, col_name, v) + new_row[new_col_name] = new_v + if new_col_def: + new_columns.append(new_col_def) + + return new_row, new_columns + + def filter_hints_in_row(self, table_name: str, hint_type: HintType, row: StrAny) -> StrAny: + rv_row: DictStrAny = {} + column_prop: ColumnProp = self._hint_to_column_prop(hint_type) + try: + table = self.get_table(table_name) + for column_name in table: + if column_name in row: + hint_value = table[column_name][column_prop] + if (hint_value and column_prop != "nullable") or (column_prop == "nullable" and not hint_value): + rv_row[column_name] = row[column_name] + except KeyError: + for k, v in row.items(): + if self._infer_hint(hint_type, v, k): + rv_row[k] = v + + # dicts are ordered and we will return the rows with hints in the same order as they appear in the columns + return rv_row + + def update_schema(self, table_name: str, updated_columns: List[Column]) -> None: + # all tables in the schema must start with the schema name + # if not table_name.startswith(f"{self._schema_name}"): + # raise InvalidTableNameException(self._schema_name, table_name) + + if table_name not in self._schema_tables: + # add the whole new table to SchemaTables + self._schema_tables[table_name] = {c["name"]: c for c in updated_columns} + else: + # add several columns to existing table + table_schema = self._schema_tables[table_name] + for column in updated_columns: + column_name = column["name"] + if column_name in table_schema: + # we do not support changing existing columns + if not Schema._compare_columns(table_schema[column_name], column): + # attempt to update to incompatible columns + raise CannotCoerceColumnException(table_name, column_name, table_schema[column_name]["data_type"], column["data_type"], None) + else: + table_schema[column_name] = column + # bump schema version + self._version += 1 + + def get_schema_update_for(self, table_name: str, t: Table) -> List[Column]: + # gets new columns to be added to "t" to bring up to date with stored schema + diff_c: List[Column] = [] + s_t = self.get_table(table_name) + for c in s_t.values(): + if c["name"] not in t: + diff_c.append(c) + return diff_c + + def get_table(self, table_name: str) -> Table: + return self._schema_tables[table_name] + + def to_dict(self) -> StoredSchema: + return { + "tables": self._schema_tables, + "name": self._schema_name, + "version": self._version, + "preferred_types": self._preferred_types, + "hints": self._hints, + "excludes": self._excludes, + "includes": self._includes, + "engine_version": Schema.ENGINE_VERSION + } + + @property + def schema_version(self) -> int: + return self._version + + @property + def schema_name(self) -> str: + return self._schema_name + + @property + def schema_tables(self) -> SchemaTables: + return self._schema_tables + + def as_yaml(self, remove_default_hints: bool = False) -> str: + d = self.to_dict() + clean_tables = deepcopy(d["tables"]) + + for t in clean_tables.values(): + for c in t.values(): + # do not save names + del c["name"] # type: ignore + # remove hints with default values + if remove_default_hints: + for h in list(c.keys()): + if type(c[h]) is bool and c[h] is False and h != "nullable": # type: ignore + del c[h] # type: ignore + + d["tables"] = clean_tables + + return cast(str, yaml.dump(d, allow_unicode=True, default_flow_style=False, sort_keys=False)) + + def _infer_column(self, k: str, v: Any) -> Column: + return Column( + name=k, + data_type=self._map_value_to_column_type(v, k), + nullable=not self._infer_hint("not_null", v, k), + partition=self._infer_hint("partition", v, k), + cluster=self._infer_hint("cluster", v, k), + sort=self._infer_hint("sort", v, k), + unique=self._infer_hint("unique", v, k), + primary_key=self._infer_hint("primary_key", v, k), + foreign_key=self._infer_hint("foreign_key", v, k) + ) + + def _coerce_null_value(self, table_schema: Table, table_name: str, col_name: str) -> None: + if col_name in table_schema: + existing_column = table_schema[col_name] + if not existing_column["nullable"]: + raise CannotCoerceNullException(table_name, col_name) + + def _coerce_non_null_value(self, table_schema: Table, table_name: str, col_name: str, v: Any) -> Tuple[str, Column, Any]: + new_column: Column = None + rv = v + variant_col_name = col_name + + if col_name in table_schema: + existing_column = table_schema[col_name] + # existing columns cannot be changed so we must update row + py_data_type = Schema._py_type_to_sc_type(type(v)) + if existing_column["data_type"] != py_data_type: + # first try to coerce existing value into destination type + try: + rv = Schema._coerce_type(existing_column["data_type"], py_data_type, v) + except (ValueError, SyntaxError): + # for complex types we must coerce to text + if py_data_type == "complex": + py_data_type = "text" + rv = Schema._coerce_type("text", "complex", v) + # if that does not work we must create variant extension to the table + variant_col_name = f"{col_name}_v_{py_data_type}" + # if variant exists check type, coercions are not required + if variant_col_name in table_schema: + if table_schema[variant_col_name]["data_type"] != py_data_type: + raise CannotCoerceColumnException(table_name, variant_col_name, table_schema[variant_col_name]["data_type"], py_data_type, v) + else: + # new column + # add new column + new_column = self._infer_column(variant_col_name, v) + # must have variant type, not preferred or coerced type + new_column["data_type"] = py_data_type + else: + # just copy row: types match + pass + else: + # infer new column + new_column = self._infer_column(col_name, v) + # and coerce type if inference changed the python type + py_type = Schema._py_type_to_sc_type(type(v)) + rv = Schema._coerce_type(new_column["data_type"], py_type, v) + + return variant_col_name, new_column, rv + + def _map_value_to_column_type(self, v: Any, k: str) -> DataType: + mapped_type = Schema._py_type_to_sc_type(type(v)) + # if complex type was detected we must coerce to string + if mapped_type == "complex": + mapped_type = "text" + # get preferred type based on column name + preferred_type = self._get_preferred_type(k) + # try to match python type to preferred + if preferred_type: + # try to coerce to destination type + try: + Schema._coerce_type(preferred_type, mapped_type, v) + # coercion possible so preferred type may be used + mapped_type = preferred_type + except ValueError: + # coercion not possible + pass + return mapped_type + + def _get_preferred_type(self, col_name: str) -> Optional[DataType]: + return next((m[1] for m in self._compiled_preferred_types if m[0].search(col_name)), None) + + def _infer_hint(self, hint_type: HintType, _: Any, k: str) -> bool: + if hint_type in self._compiled_hints: + return any(h.search(k) for h in self._compiled_hints[hint_type]) + else: + return False + + def _add_standard_tables(self) -> None: + version_table: Table = { + "version": self._add_missing_hints({ + "name": "version", + "data_type": "bigint", + "nullable": False, + }), + "engine_version": self._add_missing_hints({ + "name": "engine_version", + "data_type": "bigint", + "nullable": False + }), + "inserted_at": self._add_missing_hints({ + "name": "inserted_at", + "data_type": "timestamp", + "nullable": False + }) + + } + self._schema_tables[Schema.VERSION_TABLE_NAME] = version_table + load_table: Table = { + "load_id": self._add_missing_hints({ + "name": "load_id", + "data_type": "text", + "nullable": False + }), + "status": self._add_missing_hints({ + "name": "status", + "data_type": "bigint", + "nullable": False + }), + "inserted_at": self._add_missing_hints({ + "name": "inserted_at", + "data_type": "timestamp", + "nullable": False + }) + } + self._schema_tables[Schema.LOADS_TABLE_NAME] = load_table + + def _add_standard_hints(self) -> None: + self._hints = { + "not_null": ["^_record_hash$", "^_root_hash$", "^_parent_hash$", "^_pos$", "_load_id"], + "foreign_key": ["^_parent_hash$"], + "unique": ["^_record_hash$"] + } + + def _compile_regexes(self) -> None: + for pattern, dt in self._preferred_types.items(): + # add tuples to be searched in coercions + self._compiled_preferred_types.append((re.compile(pattern), dt)) + for hint_name, hint_list in self._hints.items(): + # compile hints which are column matching regexes + self._compiled_hints[hint_name] = list(map(lambda hint: re.compile(hint), hint_list)) + self._compiled_excludes = list(map(lambda exclude: re.compile(exclude), self._excludes)) + self._compiled_includes = list(map(lambda include: re.compile(include), self._includes)) + + @staticmethod + def _verify_column(table_name: str, column_name: str, column: Column) -> None: + existing_props = set(column.keys()) + missing_props = COLUMN_PROPS.difference(existing_props) + if len(missing_props) > 0: + raise SchemaCorruptedException(f"In table {table_name} column {column_name}: Column definition is missing following properties {missing_props}") + data_type = column["data_type"] + if data_type not in DATA_TYPES: + raise SchemaCorruptedException(f"In table {table_name} column {column_name}: {data_type} is not one of available types: {DATA_TYPES}") + for p, v in column.items(): + if p in COLUMN_HINTS and not type(v) is bool: + raise SchemaCorruptedException(f"In table {table_name} column {column_name}: hint {p} is not boolean.") + + @staticmethod + def _upgrade_engine_version(schema_dict: StoredSchema, from_engine: int, to_engine: int) -> None: + if from_engine == 1: + schema_dict["engine_version"] = 2 + schema_dict["includes"] = [] + schema_dict["excludes"] = [] + from_engine = 2 + if from_engine == 2: + pass + if from_engine != to_engine: + raise SchemaEngineNoUpgradePathException(schema_dict["name"], schema_dict["engine_version"], from_engine, to_engine) + + @staticmethod + def _add_missing_hints(column: ColumnBase) -> Column: + return { + **{ # type:ignore + "partition": False, + "cluster": False, + "unique": False, + "sort": False, + "primary_key": False, + "foreign_key": False, + }, + **column + } + + + @staticmethod + def _py_type_to_sc_type(t: Type[Any]) -> DataType: + if t is float: + return "double" + elif t is int: + return "bigint" + elif t is bool: + return "bool" + elif t is bytes: + return "binary" + elif t in [dict, list]: + return "complex" + elif t is Decimal: + return "decimal" + else: + return "text" + + @staticmethod + def _coerce_type(to_type: DataType, from_type: DataType, value: Any) -> Any: + if to_type == from_type: + return value + + if to_type == "text": + if from_type == "complex": + return json.dumps(value) + else: + return str(value) + + if to_type == "binary": + if from_type == "text": + if value.startswith("0x"): + return bytes.fromhex(value[2:]) + try: + return base64.b64decode(value, validate=True) + except binascii.Error: + raise ValueError(value) + if from_type == "bigint": + return value.to_bytes((value.bit_length() + 7) // 8, 'little') + + if to_type in ["wei", "bigint"]: + if from_type == "bigint": + return value + if from_type in ["decimal", "double"]: + if value % 1 != 0: + # only integer decimals and floats can be coerced + raise ValueError(value) + return int(value) + if from_type == "text": + trim_value = value.strip() + if trim_value.startswith("0x"): + return int(trim_value[2:], 16) + else: + return int(trim_value) + + if to_type == "double": + if from_type in ["bigint", "wei", "decimal"]: + return float(value) + if from_type == "text": + trim_value = value.strip() + if trim_value.startswith("0x"): + return float(int(trim_value[2:], 16)) + else: + return float(trim_value) + + if to_type == "decimal": + if from_type in ["bigint", "wei"]: + return value + if from_type == "double": + return Decimal(value) + if from_type == "text": + trim_value = value.strip() + if trim_value.startswith("0x"): + return int(trim_value[2:], 16) + elif "." not in trim_value and "e" not in trim_value: + return int(trim_value) + else: + try: + return Decimal(trim_value) + except ConversionSyntax: + raise ValueError(trim_value) + + if to_type == "timestamp": + if from_type in ["bigint", "double"]: + # returns ISO datetime with timezone + return str(pendulum.from_timestamp(value)) + + if from_type == "text": + # if parses as ISO date then pass it + try: + isoparse(value) + return value + except ValueError: + # try to convert string to integer, or float + try: + value = int(value) + except ValueError: + # raises ValueError if not parsing correctly + value = float(value) + return str(pendulum.from_timestamp(value)) + + raise ValueError(value) + + @staticmethod + def _compare_columns(a: Column, b: Column) -> bool: + return a["data_type"] == b["data_type"] and a["nullable"] == b["nullable"] + + @staticmethod + def _hint_to_column_prop(h: HintType) -> ColumnProp: + if h == "not_null": + return "nullable" + return h + +class SchemaException(DltException): + pass + + +class CannotCoerceColumnException(SchemaException): + def __init__(self, table_name: str, column_name: str, from_type: DataType, to_type: DataType, value: Any) -> None: + super().__init__(f"Cannot coerce type in table {table_name} column {column_name} existing type {from_type} coerced type {to_type} value: {value}") + + +class CannotCoerceNullException(SchemaException): + def __init__(self, table_name: str, column_name: str) -> None: + super().__init__(f"Cannot coerce NULL in table {table_name} column {column_name} which is not nullable") + + +class InvalidTableNameException(SchemaException): + def __init__(self, schema_name: str, table_name: str) -> None: + self.schema_name = schema_name + self.table_name = table_name + super().__init__(f"All table names must start with '{schema_name}' so {table_name} is invalid") + +class SchemaCorruptedException(SchemaException): + pass + + +class SchemaEngineNoUpgradePathException(SchemaException): + def __init__(self, schema_name: str, init_engine: int, from_engine: int, to_engine: int) -> None: + self.schema_name = schema_name + self.init_engine = init_engine + self.from_engine = from_engine + self.to_engine = to_engine + super().__init__(f"No engine upgrade path in schema {schema_name} from {init_engine} to {to_engine}, stopped at {from_engine}") diff --git a/dlt/common/signals.py b/dlt/common/signals.py new file mode 100644 index 0000000000..87e7d887ed --- /dev/null +++ b/dlt/common/signals.py @@ -0,0 +1,35 @@ +import signal +from threading import Event +from typing import Any + +from dlt.common import logger +from dlt.common.exceptions import SignalReceivedException + +_received_signal: int = 0 +exit_event = Event() + + +def signal_receiver(signal: int, frame: Any) -> None: + global _received_signal + + logger.info(f"Signal {signal} received") + + if _received_signal > 0: + logger.info(f"Another signal received after {_received_signal}") + return + + _received_signal = signal + # awake all threads sleeping on event + exit_event.set() + + logger.info(f"Sleeping threads signalled") + + +def raise_if_signalled() -> None: + if _received_signal: + raise SignalReceivedException(_received_signal) + + +def register_signals() -> None: + signal.signal(signal.SIGINT, signal_receiver) + signal.signal(signal.SIGTERM, signal_receiver) diff --git a/dlt/common/storages/__init__.py b/dlt/common/storages/__init__.py new file mode 100644 index 0000000000..4d935d84c1 --- /dev/null +++ b/dlt/common/storages/__init__.py @@ -0,0 +1 @@ +from .schema_storage import SchemaStorage # noqa: F401 diff --git a/dlt/common/storages/exceptions.py b/dlt/common/storages/exceptions.py new file mode 100644 index 0000000000..129e0203d2 --- /dev/null +++ b/dlt/common/storages/exceptions.py @@ -0,0 +1,23 @@ +import semver +from dlt.common.exceptions import DltException + +class StorageException(DltException): + def __init__(self, msg: str) -> None: + super().__init__(msg) + + +class NoMigrationPathException(StorageException): + def __init__(self, storage_path: str, initial_version: semver.VersionInfo, migrated_version: semver.VersionInfo, target_version: semver.VersionInfo) -> None: + self.storage_path = storage_path + self.initial_version = initial_version + self.migrated_version = migrated_version + self.target_version = target_version + super().__init__(f"Could not find migration path for {storage_path} from v {initial_version} to {target_version}, stopped at {migrated_version}") + + +class WrongStorageVersionException(StorageException): + def __init__(self, storage_path: str, initial_version: semver.VersionInfo, target_version: semver.VersionInfo) -> None: + self.storage_path = storage_path + self.initial_version = initial_version + self.target_version = target_version + super().__init__(f"Expected storage {storage_path} with v {target_version} but found {initial_version}") diff --git a/dlt/common/storages/loader_storage.py b/dlt/common/storages/loader_storage.py new file mode 100644 index 0000000000..b9240af03e --- /dev/null +++ b/dlt/common/storages/loader_storage.py @@ -0,0 +1,181 @@ +import os +from pathlib import Path +from typing import List, Literal, Optional, Sequence, Tuple, Type + +from dlt.common import json, pendulum +from dlt.common.file_storage import FileStorage +from dlt.common.dataset_writers import TWriterType, write_jsonl, write_insert_values +from dlt.common.configuration import LoadingVolumeConfiguration +from dlt.common.exceptions import TerminalValueError +from dlt.common.schema import SchemaUpdate, Table +from dlt.common.storages.versioned_storage import VersionedStorage +from dlt.common.typing import StrAny + +from dlt.common.storages.exceptions import StorageException + + +# folders to manage load jobs in a single load package +TWorkingFolder = Literal["new_jobs", "failed_jobs", "started_jobs", "completed_jobs"] + +class LoaderStorage(VersionedStorage): + + STORAGE_VERSION = "1.0.0" + LOADING_FOLDER = "loading" # folder within the volume where load packages are stored + LOADED_FOLDER = "loaded" # folder to keep the loads that were completely processed + + NEW_JOBS_FOLDER: TWorkingFolder = "new_jobs" + FAILED_JOBS_FOLDER: TWorkingFolder = "failed_jobs" + STARTED_JOBS_FOLDER: TWorkingFolder = "started_jobs" + COMPLETED_JOBS_FOLDER: TWorkingFolder = "completed_jobs" + + LOAD_SCHEMA_UPDATE_FILE_NAME = "schema_updates.json" + + SUPPORTED_WRITERS: List[TWriterType] = ["jsonl", "insert_values"] + + def __init__(self, is_owner: bool, C: Type[LoadingVolumeConfiguration], writer_type: TWriterType) -> None: + if writer_type not in LoaderStorage.SUPPORTED_WRITERS: + raise TerminalValueError(writer_type) + self.writer_type = writer_type + self.delete_completed_jobs = C.DELETE_COMPLETED_JOBS + super().__init__(LoaderStorage.STORAGE_VERSION, is_owner, FileStorage(C.LOADING_VOLUME_PATH, "t", makedirs=is_owner)) + + def initialize_storage(self) -> None: + self.storage.create_folder(LoaderStorage.LOADED_FOLDER, exists_ok=True) + self.storage.create_folder(LoaderStorage.LOADING_FOLDER, exists_ok=True) + + def create_temp_load_folder(self, load_id: str) -> None: + # delete previous version + if self.storage.has_folder(load_id): + self.storage.delete_folder(load_id, recursively=True) + self.storage.create_folder(load_id) + # create processing directories + self.storage.create_folder(f"{load_id}/{LoaderStorage.NEW_JOBS_FOLDER}") + self.storage.create_folder(f"{load_id}/{LoaderStorage.COMPLETED_JOBS_FOLDER}") + self.storage.create_folder(f"{load_id}/{LoaderStorage.FAILED_JOBS_FOLDER}") + self.storage.create_folder(f"{load_id}/{LoaderStorage.STARTED_JOBS_FOLDER}") + + def write_temp_loading_file(self, load_id: str, table_name: str, table: Table, file_id: str, rows: Sequence[StrAny]) -> str: + file_name = self.build_loading_file_name(load_id, table_name, file_id) + with self.storage.open(file_name, mode = "w") as f: + if self.writer_type == "jsonl": + write_jsonl(f, rows) + elif self.writer_type == "insert_values": + write_insert_values(f, rows, table.keys()) + return Path(file_name).name + + def save_schema_updates(self, load_id: str, schema_updates: Sequence[SchemaUpdate]) -> None: + with self.storage.open(f"{load_id}/{LoaderStorage.LOAD_SCHEMA_UPDATE_FILE_NAME}", mode="w") as f: + json.dump(schema_updates, f) + + def commit_temp_load_folder(self, load_id: str) -> None: + self.storage.atomic_rename(load_id, self.get_load_path(load_id)) + + def list_loads(self) -> Sequence[str]: + loads = self.storage.list_folder_dirs(LoaderStorage.LOADING_FOLDER, to_root=False) + # start from the oldest packages + return sorted(loads) + + def list_completed_loads(self) -> Sequence[str]: + loads = self.storage.list_folder_dirs(LoaderStorage.LOADED_FOLDER, to_root=False) + # start from the oldest packages + return sorted(loads) + + def list_new_jobs(self, load_id: str) -> Sequence[str]: + new_jobs = self.storage.list_folder_files(f"{self.get_load_path(load_id)}/{LoaderStorage.NEW_JOBS_FOLDER}") + # make sure all jobs have supported writers + wrong_job = next((j for j in new_jobs if LoaderStorage.parse_load_file_name(j)[1] != self.writer_type), None) + if wrong_job is not None: + raise JobWithUnsupportedWriterException(load_id, self.writer_type, wrong_job) + return new_jobs + + def list_started_jobs(self, load_id: str) -> Sequence[str]: + return self.storage.list_folder_files(f"{self.get_load_path(load_id)}/{LoaderStorage.STARTED_JOBS_FOLDER}") + + def list_failed_jobs(self, load_id: str) -> Sequence[str]: + return self.storage.list_folder_files(f"{self.get_load_path(load_id)}/{LoaderStorage.FAILED_JOBS_FOLDER}") + + def list_archived_failed_jobs(self, load_id: str) -> Sequence[str]: + return self.storage.list_folder_files(f"{self.get_archived_path(load_id)}/{LoaderStorage.FAILED_JOBS_FOLDER}") + + def begin_schema_update(self, load_id: str) -> Optional[SchemaUpdate]: + schema_update_file = f"{self.get_load_path(load_id)}/{LoaderStorage.LOAD_SCHEMA_UPDATE_FILE_NAME}" + if self.storage.has_file(schema_update_file): + schema_update: SchemaUpdate = json.loads(self.storage.load(schema_update_file)) + return schema_update + else: + return None + + def commit_schema_update(self, load_id: str) -> None: + load_path = self.get_load_path(load_id) + schema_update_file = f"{load_path}/{LoaderStorage.LOAD_SCHEMA_UPDATE_FILE_NAME}" + self.storage.atomic_rename(schema_update_file, f"{load_path}/{LoaderStorage.COMPLETED_JOBS_FOLDER}/{LoaderStorage.LOAD_SCHEMA_UPDATE_FILE_NAME}") + + def start_job(self, load_id: str, file_name: str) -> str: + return self._move_file(load_id, LoaderStorage.NEW_JOBS_FOLDER, LoaderStorage.STARTED_JOBS_FOLDER, file_name) + + def fail_job(self, load_id: str, file_name: str, failed_message: Optional[str]) -> str: + load_path = self.get_load_path(load_id) + if failed_message: + self.storage.save(f"{load_path}/{LoaderStorage.FAILED_JOBS_FOLDER}/{file_name}.exception", failed_message) + # move to failed jobs + return self._move_file(load_id, LoaderStorage.STARTED_JOBS_FOLDER, LoaderStorage.FAILED_JOBS_FOLDER, file_name) + + def retry_job(self, load_id: str, file_name: str) -> str: + return self._move_file(load_id, LoaderStorage.STARTED_JOBS_FOLDER, LoaderStorage.NEW_JOBS_FOLDER, file_name) + + def complete_job(self, load_id: str, file_name: str) -> str: + return self._move_file(load_id, LoaderStorage.STARTED_JOBS_FOLDER, LoaderStorage.COMPLETED_JOBS_FOLDER, file_name) + + def archive_load(self, load_id: str) -> None: + load_path = self.get_load_path(load_id) + has_failed_jobs = len(self.list_failed_jobs(load_id)) > 0 + # delete load that does not contain failed jobs + if self.delete_completed_jobs and not has_failed_jobs: + self.storage.delete_folder(load_path, recursively=True) + else: + archive_path = self.get_archived_path(load_id) + self.storage.atomic_rename(load_path, archive_path) + + def get_load_path(self, load_id: str) -> str: + return f"{LoaderStorage.LOADING_FOLDER}/{load_id}" + + def get_archived_path(self, load_id: str) -> str: + return f"{LoaderStorage.LOADED_FOLDER}/{load_id}" + + def build_loading_file_name(self, load_id: str, table_name: str, file_id: str) -> str: + file_name = f"{table_name}.{file_id}.{self.writer_type}" + return f"{load_id}/{LoaderStorage.NEW_JOBS_FOLDER}/{file_name}" + + def _move_file(self, load_id: str, source_folder: TWorkingFolder, dest_folder: TWorkingFolder, file_name: str) -> str: + load_path = self.get_load_path(load_id) + dest_path = f"{load_path}/{dest_folder}/{file_name}" + self.storage.atomic_rename(f"{load_path}/{source_folder}/{file_name}", dest_path) + return self.storage._make_path(dest_path) + + def job_elapsed_time_seconds(self, file_path: str) -> float: + return pendulum.now().timestamp() - os.path.getmtime(file_path) # type: ignore + + def _get_file_path(self, load_id: str, folder: TWorkingFolder, file_name: str) -> str: + load_path = self.get_load_path(load_id) + return f"{load_path}/{folder}/{file_name}" + + @staticmethod + def parse_load_file_name(file_name: str) -> Tuple[str, TWriterType]: + p = Path(file_name) + ext: TWriterType = p.suffix[1:] # type: ignore + if ext not in LoaderStorage.SUPPORTED_WRITERS: + raise TerminalValueError(ext) + + parts = p.stem.split(".") + return (parts[0], ext) + + +class LoaderStorageException(StorageException): + pass + + +class JobWithUnsupportedWriterException(LoaderStorageException): + def __init__(self, load_id: str, expected_writer_type: TWriterType, wrong_job: str) -> None: + self.load_id = load_id + self.expected_writer_type = expected_writer_type + self.wrong_job = wrong_job diff --git a/dlt/common/storages/schema_storage.py b/dlt/common/storages/schema_storage.py new file mode 100644 index 0000000000..81f1ca7cc9 --- /dev/null +++ b/dlt/common/storages/schema_storage.py @@ -0,0 +1,49 @@ +import os +from typing import Optional + +from dlt.common import json +from dlt.common.file_storage import FileStorage +from dlt.common.schema import Schema, StoredSchema + + +class SchemaStorage: + + STORE_SCHEMA_FILE_PATTERN = "%s_schema.json" + FOLDER_SCHEMA_FILE = "schema.json" + + def __init__(self, schema_storage_root: str, makedirs: bool = False) -> None: + self.storage = FileStorage(schema_storage_root, makedirs=makedirs) + + def load_store_schema(self, name: str) -> Schema: + # loads a schema from a store holding many schemas + schema_file = self._get_file_by_name(name) + stored_schema: StoredSchema = json.loads(self.storage.load(schema_file)) + return Schema.from_dict(stored_schema) + + def load_folder_schema(self, from_folder: str) -> Schema: + # loads schema from a folder containing one default schema + schema_path = self._get_file_in_folder(from_folder) + stored_schema: StoredSchema = json.loads(self.storage.load(schema_path)) + return Schema.from_dict(stored_schema) + + def save_store_schema(self, schema: Schema) -> str: + # save a schema to schema store + dump = json.dumps(schema.to_dict(), indent=2) + schema_file = self._get_file_by_name(schema.schema_name) + return self.storage.save(schema_file, dump) + + def save_folder_schema(self, schema: Schema, in_folder: str) -> str: + # save a schema to a folder holding one schema + dump = json.dumps(schema.to_dict()) + schema_file = self._get_file_in_folder(in_folder) + return self.storage.save(schema_file, dump) + + def has_store_schema(self, name: str) -> bool: + schema_file = self._get_file_by_name(name) + return self.storage.has_file(schema_file) + + def _get_file_by_name(self, name: str) -> str: + return SchemaStorage.STORE_SCHEMA_FILE_PATTERN % name + + def _get_file_in_folder(self, folder: str) -> str: + return os.path.join(folder, SchemaStorage.FOLDER_SCHEMA_FILE) # if folder is None else os.path.join(folder, SchemaStorage.SCHEMA_FILE) diff --git a/dlt/common/storages/unpacker_storage.py b/dlt/common/storages/unpacker_storage.py new file mode 100644 index 0000000000..93c3090594 --- /dev/null +++ b/dlt/common/storages/unpacker_storage.py @@ -0,0 +1,73 @@ +from typing import List, Sequence, Tuple, Type +from itertools import groupby +from pathlib import Path + +from dlt.common.utils import chunks +from dlt.common.file_storage import FileStorage +from dlt.common.configuration import UnpackingVolumeConfiguration +from dlt.common.storages.versioned_storage import VersionedStorage + + +class UnpackerStorage(VersionedStorage): + + STORAGE_VERSION = "1.0.0" + UNPACKING_FOLDER: str = "unpacking" # folder within the volume where files to be unpacked are stored + UNPACK_FILE_EXTENSION = ".unpack.json" + UNPACK_FILE_EXTENSION_LEN = len(UNPACK_FILE_EXTENSION) + + def __init__(self, is_owner: bool, C: Type[UnpackingVolumeConfiguration]) -> None: + super().__init__(UnpackerStorage.STORAGE_VERSION, is_owner, FileStorage(C.UNPACKING_VOLUME_PATH, "t", makedirs=is_owner)) + + def initialize_storage(self) -> None: + self.storage.create_folder(UnpackerStorage.UNPACKING_FOLDER, exists_ok=True) + + def list_files_to_unpack_sorted(self) -> Sequence[str]: + return sorted(self.storage.list_folder_files(UnpackerStorage.UNPACKING_FOLDER)) + + def get_grouped_iterator(self, files: Sequence[str]) -> "groupby[str, str]": + return groupby(files, lambda f: UnpackerStorage.get_schema_name(f)) + + @staticmethod + def chunk_by_events(files: Sequence[str], max_events: int, processing_cores: int) -> List[Sequence[str]]: + # should distribute ~ N events evenly among m cores with fallback for small amounts of events + + def count_events(file_name : str) -> int: + # return event count from file name + return UnpackerStorage.get_events_count(file_name) + + counts = list(map(count_events, files)) + # make a list of files containing ~max_events + events_count = 0 + m = 0 + while events_count < max_events and m < len(files): + events_count += counts[m] + m += 1 + processing_chunks = round(m / processing_cores) + if processing_chunks == 0: + # return one small chunk + return [files] + else: + # should return ~ amount of chunks to fill all the cores + return list(chunks(files[:m], processing_chunks)) + + @staticmethod + def get_events_count(file_name: str) -> int: + return UnpackerStorage._parse_unpack_file_name(file_name)[0] + + @staticmethod + def get_schema_name(file_name: str) -> str: + return UnpackerStorage._parse_unpack_file_name(file_name)[2] + + @staticmethod + def build_unpack_file_name(schema_name: str, stem: str, event_count: int, load_id: str) -> str: + # builds file name of the unpack file for the tracker + return f"{schema_name}_{stem}_{load_id}_{event_count}{UnpackerStorage.UNPACK_FILE_EXTENSION}" + + @staticmethod + def _parse_unpack_file_name(file_name: str) -> Tuple[int, str, str]: + # parser unpack tracker file and returns (events found, load id, schema_name) + if not file_name.endswith(UnpackerStorage.UNPACK_FILE_EXTENSION): + raise ValueError(file_name) + + parts = Path(file_name[:-UnpackerStorage.UNPACK_FILE_EXTENSION_LEN]).stem.split("_") + return (int(parts[-1]), parts[-2], parts[0]) \ No newline at end of file diff --git a/dlt/common/storages/versioned_storage.py b/dlt/common/storages/versioned_storage.py new file mode 100644 index 0000000000..9669e076e0 --- /dev/null +++ b/dlt/common/storages/versioned_storage.py @@ -0,0 +1,54 @@ +import semver + +from dlt.common.file_storage import FileStorage +from dlt.common.storages.exceptions import NoMigrationPathException, WrongStorageVersionException + + +class VersionedStorage: + + VERSION_FILE = ".version" + + def __init__(self, version: semver.VersionInfo, is_owner: bool, storage: FileStorage) -> None: + self.storage = storage + # read current version + if self.storage.has_file(VersionedStorage.VERSION_FILE): + existing_version = self._load_version() + if existing_version != version: + if existing_version > version: + # version cannot be downgraded + raise NoMigrationPathException(storage.storage_path, existing_version, existing_version, version) + if is_owner: + # only owner can migrate storage + self.migrate_storage(existing_version, version) + # storage should be migrated to desired version + migrated_version = self._load_version() + if version != migrated_version: + raise NoMigrationPathException(storage.storage_path, existing_version, migrated_version, version) + else: + # we cannot use storage and we must wait for owner to upgrade it + raise WrongStorageVersionException(storage.storage_path, existing_version, version) + else: + if is_owner: + self._save_version(version) + else: + raise WrongStorageVersionException(storage.storage_path, semver.VersionInfo.parse("0.0.0"), version) + + def migrate_storage(self, from_version: semver.VersionInfo, to_version: semver.VersionInfo) -> None: + # migration example: + # # semver lib supports comparing both to string and other semvers + # if from_version == "1.0.0" and from_version < to_version: + # # do migration + # # save migrated version + # from_version = semver.VersionInfo.parse("1.1.0") + # self._save_version(from_version) + pass + + @property + def version(self) -> semver.VersionInfo: + return self._load_version() + + def _load_version(self) -> semver.VersionInfo: + return self.storage.load(VersionedStorage.VERSION_FILE) + + def _save_version(self, version: semver.VersionInfo) -> None: + self.storage.save(VersionedStorage.VERSION_FILE, str(version)) diff --git a/dlt/common/telemetry.py b/dlt/common/telemetry.py new file mode 100644 index 0000000000..f52c7cfc7f --- /dev/null +++ b/dlt/common/telemetry.py @@ -0,0 +1,65 @@ +from typing import Iterable, Sequence, TypedDict, NamedTuple +from prometheus_client import Gauge +from prometheus_client.metrics import MetricWrapperBase + +from dlt.common.typing import DictStrAny, StrAny + + +class TRunHealth(TypedDict): + # count runs + runs_count: int + # count not idle runs + runs_not_idle_count: int + # succesfull runs + runs_healthy_count: int + # count consecutive successful runs + runs_cs_healthy_gauge: int + # count failed runs + runs_failed_count: int + # count consecutive failed runs + runs_cs_failed_gauge: int + # number of items pending at the end of the run + runs_pending_items_gauge: int + + +class TRunMetrics(NamedTuple): + was_idle: bool + has_failed: bool + pending_items: int + + +def get_metrics_from_prometheus(gauges: Iterable[MetricWrapperBase]) -> StrAny: + metrics: DictStrAny = {} + for g in gauges: + name = g._name + if g._is_parent(): + # for gauges containing many label values, enumerate all + metrics.update(get_metrics_from_prometheus([g.labels(*l) for l in g._metrics.keys()])) + continue + # for gauges with labels: add the label to the name and enumerate samples + if g._labelvalues: + name += "_" + "_".join(g._labelvalues) + for m in g._child_samples(): + k = name + if m[0] == "_created": + continue + if m[0] != "_total": + k += m[0] + if g._type == "info": + # actual descriptive value is held in [1], [2] is a placeholder in info + metrics[k] = m[1] + else: + metrics[k] = m[2] + return metrics + + +def set_gauge_all_labels(gauge: Gauge, value: float) -> None: + if gauge._is_parent(): + for l in gauge._metrics.keys(): + set_gauge_all_labels(gauge.labels(*l), value) + else: + gauge.set(value) + + +def get_logging_extras(gauges: Iterable[MetricWrapperBase]) -> StrAny: + return {"metrics": get_metrics_from_prometheus(gauges)} diff --git a/dlt/common/time.py b/dlt/common/time.py new file mode 100644 index 0000000000..8815cf2af5 --- /dev/null +++ b/dlt/common/time.py @@ -0,0 +1,30 @@ +from typing import Optional # noqa + +from dlt.common import signals + +PAST_TIMESTAMP: float = 0.0 +FUTURE_TIMESTAMP: float = 9999999999.0 +DAY_DURATION_SEC: float = 24 * 60 * 60.0 + + +def timestamp_within(timestamp: float, min_exclusive: Optional[float], max_inclusive: Optional[float]) -> bool: + """ + check if timestamp within range uniformly treating none and range inclusiveness + """ + return timestamp > (min_exclusive or PAST_TIMESTAMP) and timestamp <= (max_inclusive or FUTURE_TIMESTAMP) + + +def timestamp_before(timestamp: float, max_inclusive: Optional[float]) -> bool: + """ + check if timestamp is before max timestamp, inclusive + """ + return timestamp <= (max_inclusive or FUTURE_TIMESTAMP) + + +def sleep(sleep_seconds: float) -> None: + # do not allow sleeping if signal was received + signals.raise_if_signalled() + # sleep or wait for signal + signals.exit_event.wait(sleep_seconds) + # if signal then raise + signals.raise_if_signalled() \ No newline at end of file diff --git a/dlt/common/typing.py b/dlt/common/typing.py new file mode 100644 index 0000000000..decf3c4812 --- /dev/null +++ b/dlt/common/typing.py @@ -0,0 +1,32 @@ +from typing import Dict, Any, List, Literal, Mapping, Sequence, TypedDict, Optional, Union + +DictStrAny = Dict[str, Any] +DictStrStr = Dict[str, str] +StrAny = Mapping[str, Any] # immutable, covariant entity +StrStr = Mapping[str, str] # immutable, covariant entity +StrStrStr = Mapping[str, Mapping[str, str]] # immutable, covariant entity + +class TEventRow(TypedDict, total=False): + _timestamp: float # used for partitioning + _dist_key: str # distribution key used for clustering + _record_hash: str # unique id of current row + _root_hash: str # unique id of top level parent + +class TEventRowRoot(TEventRow, total=False): + _load_id: str # load id to identify records loaded together that ie. need to be processed + _event_json: str # dump of the original event + _event_type: str # sets event type which will be translated to table + + +class TEventRowChild(TEventRow, total=False): + _parent_hash: str # unique id of parent row + _pos: int # position in the list of rows + value: Any # for lists of simple types + + +class TEvent(TypedDict, total=False): + pass + + +class TTimestampEvent(TEvent, total=False): + timestamp: float # timestamp of event diff --git a/dlt/common/utils.py b/dlt/common/utils.py new file mode 100644 index 0000000000..9d6e1d4442 --- /dev/null +++ b/dlt/common/utils.py @@ -0,0 +1,117 @@ +import hashlib +from os import environ +from uuid import uuid4 +from typing import Any, Iterator, Sequence, TypeVar, Mapping, List, Union + +from dlt.common.typing import StrAny, DictStrAny, StrStr + +T = TypeVar("T") + + +def chunks(list: Sequence[T], n: int) -> Iterator[Sequence[T]]: + for i in range(0, len(list), n): + yield list[i:i + n] + + +def uniq_id() -> str: + return uuid4().hex + + +def digest128(v: str) -> str: + return hashlib.shake_128(v.encode("utf-8")).hexdigest(16) + + +def str2bool(v: str) -> bool: + if isinstance(v, bool): + return v + if v.lower() in ('yes', 'true', 't', 'y', '1'): + return True + elif v.lower() in ('no', 'false', 'f', 'n', '0'): + return False + else: + raise ValueError('Boolean value expected.') + + +def flatten_list_of_dicts(dicts: Sequence[StrAny]) -> StrAny: + """ + Transforms a list of objects [{K: {...}}, {L: {....}}, ...] -> {K: {...}, L: {...}...} + """ + o: DictStrAny = {} + for d in dicts: + for k,v in d.items(): + if k in o: + raise KeyError(f"Cannot flatten with duplicate key {k}") + o[k] = v + return o + + +def flatten_list_of_str_or_dicts(seq: Sequence[Union[StrAny, str]]) -> StrAny: + """ + Transforms a list of objects or strings [{K: {...}}, L, ...] -> {K: {...}, L: None, ...} + """ + o: DictStrAny = {} + for e in seq: + if type(e) is dict: + for k,v in e.items(): + if k in o: + raise KeyError(f"Cannot flatten with duplicate key {k}") + o[k] = v + else: + key = str(e) + if key in o: + raise KeyError(f"Cannot flatten with duplicate key {k}") + o[key] = None + return o + + +def flatten_dicts_of_dicts(dicts: Mapping[str, Any]) -> Sequence[Any]: + """ + Transform and object {K: {...}, L: {...}...} -> [{key:K, ....}, {key: L, ...}, ...] + """ + o: List[Any] = [] + for k, v in dicts.items(): + if type(v) is list: + # if v is a list then add "key" to each list element + for lv in v: + lv["key"] = k + else: + # add as "key" to dict + v["key"] = k + + o.append(v) + return o + + +def tuplify_list_of_dicts(dicts: Sequence[DictStrAny]) -> Sequence[DictStrAny]: + """ + Transform dicts with single key into {"key": orig_key, "value": orig_value} + """ + for d in dicts: + if len(d) > 1: + raise ValueError(f"Tuplify requires one key dicts {d}") + if len(d) == 1: + key = next(iter(d)) + # delete key first to avoid name clashes + value = d[key] + del d[key] + d["key"] = key + d["value"] = value + + return dicts + + +def filter_env_vars(vars: List[str]) -> StrStr: + return {k.lower(): environ[k] for k in vars if k in environ} + + +def update_dict_with_prune(dest: DictStrAny, update: StrAny) -> None: + for k, v in update.items(): + if v is not None: + dest[k] = v + elif k in dest: + del dest[k] + + +def is_interactive() -> bool: + import __main__ as main + return not hasattr(main, '__file__') diff --git a/dlt/dbt_runner/README.md b/dlt/dbt_runner/README.md new file mode 100644 index 0000000000..d06f508322 --- /dev/null +++ b/dlt/dbt_runner/README.md @@ -0,0 +1,17 @@ +https://github.com/davidgasquez/kubedbt +https://discourse.getdbt.com/t/running-dbt-in-kubernetes/92 +https://github.com/godatadriven/pytest-dbt-core +https://github.com/great-expectations/great_expectations + +https://github.com/fal-ai/fal (attach python scripts to models) + +https://blog.getdbt.com/how-great-data-teams-test-their-data-models/ + +PG_DATABASE_NAME=chat_analytics_rasa PG_PASSWORD=8P5gyDPNo9zo582rQG6a PG_USER=loader PG_HOST=3.66.204.141 PG_PORT=5439 dbt list --profiles-dir . --vars '{source_schema_prefix: "unk"}' --resource-type test -s source:* + +https://docs.getdbt.com/reference/node-selection/test-selection-examples + + +# list tests with selectors + +PG_DATABASE_NAME=chat_analytics_rasa PG_PASSWORD=8P5gyDPNo9zo582rQG6a PG_USER=loader PG_HOST=3.66.204.141 PG_PORT=5439 dbt list --profiles-dir . --vars '{source_schema_prefix: "unk"}' --resource-type test -s views \ No newline at end of file diff --git a/dlt/dbt_runner/__init__.py b/dlt/dbt_runner/__init__.py new file mode 100644 index 0000000000..7df9f7aa35 --- /dev/null +++ b/dlt/dbt_runner/__init__.py @@ -0,0 +1 @@ +from ._version import __version__ \ No newline at end of file diff --git a/dlt/dbt_runner/_version.py b/dlt/dbt_runner/_version.py new file mode 100644 index 0000000000..5becc17c04 --- /dev/null +++ b/dlt/dbt_runner/_version.py @@ -0,0 +1 @@ +__version__ = "1.0.0" diff --git a/dlt/dbt_runner/configuration.py b/dlt/dbt_runner/configuration.py new file mode 100644 index 0000000000..c86d43a535 --- /dev/null +++ b/dlt/dbt_runner/configuration.py @@ -0,0 +1,69 @@ +from typing import List, Optional, Type + +from dlt.common.typing import StrAny +from dlt.common.configuration.utils import TConfigSecret, make_configuration, _get_key_value +from dlt.common.configuration import PoolRunnerConfiguration, TPoolType, PostgresConfiguration, PostgresProductionConfiguration, GcpClientConfiguration, GcpClientProductionConfiguration + +from . import __version__ + + +class DBTRunnerConfiguration(PoolRunnerConfiguration): + POOL_TYPE: TPoolType = "none" + STOP_AFTER_RUNS: int = 1 + PACKAGE_VOLUME_PATH: str = "_storage/dbt_runner" + PACKAGE_REPOSITORY_URL: str = "https://github.com/scale-vector/rasa_semantic_schema_customization.git" + PACKAGE_REPOSITORY_BRANCH: Optional[str] = None + PACKAGE_REPOSITORY_SSH_KEY: TConfigSecret = TConfigSecret("") # the default is empty value which will disable custom SSH KEY + PACKAGE_PROFILES_DIR: str = "." + PACKAGE_PROFILE_PREFIX: str = "rasa_semantic_schema" + PACKAGE_SOURCE_TESTS_SELECTOR: str = "tag:prerequisites" + PACKAGE_ADDITIONAL_VARS: Optional[StrAny] = None + PACKAGE_RUN_PARAMS: List[str] = ["--fail-fast"] + AUTO_FULL_REFRESH_WHEN_OUT_OF_SYNC: bool = True + + SOURCE_SCHEMA_PREFIX: str = None + DEST_SCHEMA_PREFIX: Optional[str] = None + + @classmethod + def check_integrity(cls) -> None: + if cls.PACKAGE_REPOSITORY_SSH_KEY and cls.PACKAGE_REPOSITORY_SSH_KEY[-1] != "\n": + # must end with new line, otherwise won't be parsed by Crypto + cls.PACKAGE_REPOSITORY_SSH_KEY = TConfigSecret(cls.PACKAGE_REPOSITORY_SSH_KEY + "\n") + if cls.STOP_AFTER_RUNS != 1: + # always stop after one run + cls.STOP_AFTER_RUNS = 1 + + +class DBTRunnerProductionConfiguration(DBTRunnerConfiguration): + PACKAGE_VOLUME_PATH: str = "/var/local/app" # this is actually not exposed as volume + PACKAGE_REPOSITORY_URL: str = None + + +def gen_configuration_variant(initial_values: StrAny = None) -> Type[DBTRunnerConfiguration]: + # derive concrete config depending on env vars present + DBTRunnerConfigurationImpl: Type[DBTRunnerConfiguration] + DBTRunnerProductionConfigurationImpl: Type[DBTRunnerProductionConfiguration] + + if _get_key_value("PG_SCHEMA_PREFIX", type(str)): + source_schema_prefix = _get_key_value("PG_SCHEMA_PREFIX", type(str)) + class DBTRunnerConfigurationPostgress(PostgresConfiguration, DBTRunnerConfiguration): + SOURCE_SCHEMA_PREFIX: str = source_schema_prefix + DBTRunnerConfigurationImpl = DBTRunnerConfigurationPostgress + + class DBTRunnerProductionConfigurationPostgress(DBTRunnerProductionConfiguration, PostgresProductionConfiguration, DBTRunnerConfigurationPostgress): + pass + # SOURCE_SCHEMA_PREFIX: str = source_schema_prefix + DBTRunnerProductionConfigurationImpl = DBTRunnerProductionConfigurationPostgress + + else: + source_schema_prefix = _get_key_value("DATASET", type(str)) + class DBTRunnerConfigurationGcp(GcpClientConfiguration, DBTRunnerConfiguration): + SOURCE_SCHEMA_PREFIX: str = source_schema_prefix + DBTRunnerConfigurationImpl = DBTRunnerConfigurationGcp + + class DBTRunnerProductionConfigurationGcp(DBTRunnerProductionConfiguration, GcpClientProductionConfiguration, DBTRunnerConfigurationGcp): + pass + # SOURCE_SCHEMA_PREFIX: str = source_schema_prefix + DBTRunnerProductionConfigurationImpl = DBTRunnerProductionConfigurationGcp + + return make_configuration(DBTRunnerConfigurationImpl, DBTRunnerProductionConfigurationImpl, initial_values=initial_values) diff --git a/dlt/dbt_runner/exceptions.py b/dlt/dbt_runner/exceptions.py new file mode 100644 index 0000000000..e8083ec61e --- /dev/null +++ b/dlt/dbt_runner/exceptions.py @@ -0,0 +1,9 @@ +from dlt.common.exceptions import DltException + + +class DBTRunnerException(DltException): + pass + + +class PrerequisitesException(DBTRunnerException): + pass diff --git a/dlt/dbt_runner/runner.py b/dlt/dbt_runner/runner.py new file mode 100644 index 0000000000..b10be72f8d --- /dev/null +++ b/dlt/dbt_runner/runner.py @@ -0,0 +1,187 @@ +from typing import Optional, Sequence, Tuple, Type +from git import GitError +from prometheus_client import REGISTRY, Gauge, CollectorRegistry, Info +from prometheus_client.metrics import MetricWrapperBase +from dlt.common.configuration import GcpClientConfiguration + +from dlt.common import logger +from dlt.common.typing import DictStrAny, DictStrStr, StrAny +from dlt.common.logger import process_internal_exception, is_json_logging +from dlt.common.telemetry import get_logging_extras +from dlt.common.file_storage import FileStorage +from dlt.common.runners import TRunArgs, create_default_args, initialize_runner, pool_runner +from dlt.common.telemetry import TRunMetrics + +from dlt.dbt_runner.configuration import DBTRunnerConfiguration, gen_configuration_variant +from dlt.dbt_runner.utils import DBTProcessingError, clone_repo, dbt_results, ensure_remote_head, git_custom_key_command, initialize_dbt_logging, is_incremental_schema_out_of_sync_error, run_dbt_command +from dlt.dbt_runner.exceptions import PrerequisitesException + + +CLONED_PACKAGE_NAME = "dbt_package" + +CONFIG: Type[DBTRunnerConfiguration] = None +storage: FileStorage = None +dbt_package_vars: StrAny = None +global_args: Sequence[str] = None +repo_path: str = None +profile_name: str = None + +model_elapsed_gauge: Gauge = None +model_exec_info: Info = None + + +def create_folders() -> Tuple[FileStorage, StrAny, Sequence[str], str, str]: + storage = FileStorage(CONFIG.PACKAGE_VOLUME_PATH, makedirs=True) + dbt_package_vars: DictStrAny = { + "source_schema_prefix": CONFIG.SOURCE_SCHEMA_PREFIX + } + if CONFIG.DEST_SCHEMA_PREFIX: + dbt_package_vars["dest_schema_prefix"] = CONFIG.DEST_SCHEMA_PREFIX + if CONFIG.PACKAGE_ADDITIONAL_VARS: + dbt_package_vars.update(CONFIG.PACKAGE_ADDITIONAL_VARS) + + # initialize dbt logging, returns global parameters to dbt command + global_args = initialize_dbt_logging(CONFIG.LOG_LEVEL, is_json_logging(CONFIG.LOG_FORMAT)) + + # generate path for the dbt package repo + repo_path = storage._make_path(CLONED_PACKAGE_NAME) + + # generate profile name + profile_name: str = None + if CONFIG.PACKAGE_PROFILE_PREFIX: + if issubclass(CONFIG, GcpClientConfiguration): + profile_name = "%s_bigquery" % (CONFIG.PACKAGE_PROFILE_PREFIX) + else: + profile_name = "%s_redshift" % (CONFIG.PACKAGE_PROFILE_PREFIX) + + return storage, dbt_package_vars, global_args, repo_path, profile_name + + +def create_gauges(registry: CollectorRegistry) -> Tuple[MetricWrapperBase, MetricWrapperBase]: + return ( + Gauge("dbtrunner_model_elapsed_seconds", "Last model processing time", ["model"], registry=registry), + Info("dbtrunner_model_status", "Last execution status of the model", registry=registry) + ) + + +def run_dbt(command: str, command_args: Sequence[str] = None) -> Sequence[dbt_results. BaseResult]: + logger.info(f"Exec dbt command: {global_args} {command} {command_args} {dbt_package_vars} on profile {profile_name or ''}") + return run_dbt_command( + repo_path, command, + CONFIG.PACKAGE_PROFILES_DIR, + profile_name=profile_name, + command_args=command_args, + global_args=global_args, + vars=dbt_package_vars + ) + + +def log_dbt_run_results(results: dbt_results.RunExecutionResult) -> None: + # run may return RunResult of something different depending on error + if issubclass(type(results), dbt_results.BaseResult): + results = [results] # make it iterable + elif issubclass(type(results), dbt_results.ExecutionResult): + pass + else: + logger.warning(f"{type(results)} is unknown and cannot be logged") + return + + info: DictStrStr = {} + for res in results: + name = res.node.name + message = res.message + time = res.execution_time + if res.status == dbt_results.RunStatus.Error: + logger.error(f"Model {name} errored! Error: {message}") + else: + logger.info(f"Model {name} {res.status} in {time} seconds with {message}") + model_elapsed_gauge.labels(name).set(time) + info[name] = message + + # log execution + model_exec_info.info(info) + logger.metrics("Executed models", extra=get_logging_extras([model_elapsed_gauge, model_exec_info])) + + +def initialize_package(with_git_command: Optional[str]) -> None: + try: + # cleanup package folder + if storage.has_folder(CLONED_PACKAGE_NAME): + storage.delete_folder(CLONED_PACKAGE_NAME, recursively=True) + logger.info(f"Will clone {CONFIG.PACKAGE_REPOSITORY_URL} head {CONFIG.PACKAGE_REPOSITORY_BRANCH} into {repo_path}") + clone_repo(CONFIG.PACKAGE_REPOSITORY_URL, repo_path, branch=CONFIG.PACKAGE_REPOSITORY_BRANCH, with_git_command=with_git_command) + run_dbt("deps") + except Exception as e: + # delete folder so we start clean next time + if storage.has_folder(CLONED_PACKAGE_NAME): + storage.delete_folder(CLONED_PACKAGE_NAME, recursively=True) + raise + + +def ensure_newest_package() -> None: + with git_custom_key_command(CONFIG.PACKAGE_REPOSITORY_SSH_KEY) as ssh_command: + try: + ensure_remote_head(repo_path, with_git_command=ssh_command) + except GitError as err: + # cleanup package folder + logger.info(f"Package will be cloned due to {type(err).__name__}:{str(err)}") + initialize_package(with_git_command=ssh_command) + + +def run_db_steps() -> Sequence[dbt_results.BaseResult]: + # make sure we use package from the remote head + ensure_newest_package() + # check if raw schema exists + try: + if CONFIG.PACKAGE_SOURCE_TESTS_SELECTOR: + run_dbt("test", ["-s", CONFIG.PACKAGE_SOURCE_TESTS_SELECTOR]) + except DBTProcessingError as err: + raise PrerequisitesException() from err + + # always run seeds + run_dbt("seed") + # throws DBTProcessingError + try: + return run_dbt("run", CONFIG.PACKAGE_RUN_PARAMS) + except DBTProcessingError as e: + # detect incremental model out of sync + if is_incremental_schema_out_of_sync_error(e.results) and CONFIG.AUTO_FULL_REFRESH_WHEN_OUT_OF_SYNC: + logger.warning(f"Attempting full refresh due to incremental model out of sync on {e.results.message}") + return run_dbt("run", CONFIG.PACKAGE_RUN_PARAMS + ["--full-refresh"]) + else: + raise + + +def run(_: None) -> TRunMetrics: + try: + # there were many issues with running the method below with pool.apply + # 1 - some exceptions are not serialized well on process boundary and queue hangs + # 2 - random hangs event if there's no exception, probably issues with DBT spawning its own workers + # instead the runner host was configured to recycle each run + results = run_db_steps() + log_dbt_run_results(results) + return TRunMetrics(False, False, 0) + except PrerequisitesException: + logger.warning(f"Raw schema test failed, it may yet not be created") + # run failed and loads possibly still pending + return TRunMetrics(False, True, 1) + except DBTProcessingError as runerr: + log_dbt_run_results(runerr.results) + # pass exception to the runner + raise + + +if __name__ == '__main__': + CONFIG = gen_configuration_variant() + parser = create_default_args(CONFIG) + args = parser.parse_args() + # we should force single run + initialize_runner(CONFIG, TRunArgs(args.single_run, args.wait_runs)) + try: + storage, dbt_package_vars, global_args, repo_path, profile_name = create_folders() + model_elapsed_gauge, model_exec_info = create_gauges(REGISTRY) + except Exception: + process_internal_exception("init module") + exit(-1) + + exit(pool_runner(CONFIG, run)) diff --git a/dlt/dbt_runner/utils.py b/dlt/dbt_runner/utils.py new file mode 100644 index 0000000000..18297a9fcc --- /dev/null +++ b/dlt/dbt_runner/utils.py @@ -0,0 +1,130 @@ +import os +import logging +import tempfile +from typing import Any, Iterator, List, Sequence +from git import Repo, Git, RepositoryDirtyError +from contextlib import contextmanager + +from dlt.common import json +from dlt.common.utils import uniq_id +from dlt.common.typing import StrAny, Optional +from dlt.dbt_runner.exceptions import DBTRunnerException + +# block disabling root logger +import logbook.compat +logbook.compat.redirect_logging = lambda : None + +# can only import DBT after redirect is disabled +import dbt.main +import dbt.logger +from dbt.events import functions +from dbt.contracts import results as dbt_results +from dbt.exceptions import FailFastException + + +# keep this exception definition here due to mock of logbook +class DBTProcessingError(DBTRunnerException): + def __init__(self, command: str, results: Any) -> None: + self.command = command + # the results from DBT may be anything + self.results = results + super().__init__(f"DBT command {command} could not be executed") + + +@contextmanager +def git_custom_key_command(private_key: Optional[str]) -> Iterator[str]: + if private_key: + key_file = tempfile.mktemp(prefix=uniq_id()) + with open(key_file, "w") as f: + f.write(private_key) + try: + # permissions so SSH does not complain + os.chmod(key_file, 0o600) + yield 'ssh -o "StrictHostKeyChecking accept-new" -i %s' % key_file + finally: + os.remove(key_file) + else: + yield 'ssh -o "StrictHostKeyChecking accept-new"' + + +def ensure_remote_head(repo_path: str, with_git_command: Optional[str] = None) -> None: + # update remotes and check if heads are same. ignores locally modified files + repo = Repo(repo_path) + # use custom environemnt if specified + with repo.git.custom_environment(GIT_SSH_COMMAND=with_git_command): + # update origin + repo.remote().update() + # get branch status + status: str = repo.git.status("--short", "--branch", "-uno") + # we expect first status line ## main...origin/main + status_line = status.split("/n")[0] + if not (status_line.startswith("##") and not status_line.endswith("]")): + raise RepositoryDirtyError(repo, status) + + +def clone_repo(repository_url: str, clone_path: str, branch: Optional[str] = None, with_git_command: Optional[str] = None) -> None: + repo = Repo.clone_from(repository_url, clone_path, env=dict(GIT_SSH_COMMAND=with_git_command)) + if branch: + repo.git.checkout(branch) + + +def initialize_dbt_logging(level: str, is_json_logging: bool) -> Sequence[str]: + int_level = logging._nameToLevel[level] + + # wrap log setup to force out log level + + def setup_event_logger_wrapper(log_path: str, level_override:str = None) -> None: + functions.setup_event_logger(log_path, level) + # force log level as file is debug only + functions.this.FILE_LOG.setLevel(level) + functions.this.FILE_LOG.handlers[0].setLevel(level) + + dbt.main.setup_event_logger = setup_event_logger_wrapper + + globs = [] + if int_level <= logging.DEBUG: + globs = ["--debug"] + + # return global parameters to be passed to setup logging + + if is_json_logging: + return ["--log-format", "json"] + globs + else: + return globs + + +def is_incremental_schema_out_of_sync_error(error: dbt_results.RunResult) -> bool: + return issubclass(type(error), dbt_results.RunResult) and error.status == dbt_results.RunStatus.Error and\ + "The source and target schemas on this incremental model are out of sync" in error.message + + +def run_dbt_command(package_path: str, command: str, profiles_dir: str, profile_name: Optional[str] = None, + global_args: Sequence[str] = None, command_args: Sequence[str] = None, vars: StrAny = None) -> Sequence[dbt_results.BaseResult]: + args = ["--profiles-dir", profiles_dir] + # add profile name if provided + if profile_name: + args += ["--profile", profile_name] + # serialize dbt variables to pass to package + if vars: + args += ["--vars", json.dumps(vars)] + if command_args: + args += command_args + + # cwd to package dir + working_dir = os.getcwd() + os.chdir(package_path) + try: + results: List[dbt_results.BaseResult] = None + success: bool = None + results, success = dbt.main.handle_and_check((global_args or []) + [command] + args) # type: ignore + assert type(success) is bool + if not success: + raise DBTProcessingError(command ,results) + return results + except FailFastException as ff: + raise DBTProcessingError(command, ff.result) from ff + finally: + # unblock logger manager to run next command + dbt.logger.log_manager.reset_handlers() + # go back to working dir + os.chdir(working_dir) \ No newline at end of file diff --git a/dlt/extractors/__init__.py b/dlt/extractors/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/dlt/extractors/exceptions.py b/dlt/extractors/exceptions.py new file mode 100644 index 0000000000..6582b526b7 --- /dev/null +++ b/dlt/extractors/exceptions.py @@ -0,0 +1,5 @@ +from dlt.common.exceptions import DltException + + +class ExtractorException(DltException): + pass diff --git a/dlt/extractors/extractor_storage.py b/dlt/extractors/extractor_storage.py new file mode 100644 index 0000000000..5a34d55a2b --- /dev/null +++ b/dlt/extractors/extractor_storage.py @@ -0,0 +1,34 @@ +import semver + +from dlt.common.utils import uniq_id +from dlt.common.file_storage import FileStorage +from dlt.common.storages.versioned_storage import VersionedStorage +from dlt.common.storages.unpacker_storage import UnpackerStorage + + +class ExtractorStorageBase(VersionedStorage): + def __init__(self, version: semver.VersionInfo, is_owner: bool, storage: FileStorage, unpacker_storage: UnpackerStorage) -> None: + self.unpacker_storage = unpacker_storage + super().__init__(version, is_owner, storage) + + def create_temp_folder(self) -> str: + tf_name = uniq_id() + self.storage.create_folder(tf_name) + return tf_name + + def commit_events(self, schema_name: str, processed_file_path: str, dest_file_stem: str, no_processed_events: int, load_id: str, with_delete: bool = True) -> str: + # schema name cannot contain underscores + if "_" in schema_name: + raise ValueError(schema_name) + + dest_name = UnpackerStorage.build_unpack_file_name(schema_name, dest_file_stem, no_processed_events, load_id) + # if no events extracted from tracker, file is not saved + if no_processed_events > 0: + # moves file to possibly external storage and place in the dest folder atomically + self.storage.copy_cross_storage_atomically( + self.unpacker_storage.storage.storage_path, UnpackerStorage.UNPACKING_FOLDER, processed_file_path, dest_name) + + if with_delete: + self.storage.delete(processed_file_path) + + return dest_name diff --git a/dlt/extractors/generator/__init__.py b/dlt/extractors/generator/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/dlt/extractors/generator/extractor.py b/dlt/extractors/generator/extractor.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/dlt/loaders/__init__.py b/dlt/loaders/__init__.py new file mode 100644 index 0000000000..4564aa701d --- /dev/null +++ b/dlt/loaders/__init__.py @@ -0,0 +1 @@ +from dlt._version import loader_version as __version__ \ No newline at end of file diff --git a/dlt/loaders/client_base.py b/dlt/loaders/client_base.py new file mode 100644 index 0000000000..7f91419675 --- /dev/null +++ b/dlt/loaders/client_base.py @@ -0,0 +1,150 @@ +from abc import ABC, abstractmethod +from types import TracebackType +from typing import Any, Literal, Sequence, Type, TypeVar, AnyStr +from pathlib import Path + +from dlt.common import pendulum, logger +from dlt.common.schema import Column, Schema, Table +# from dlt.common.file_storage import FileStorage + +from dlt.loaders.local_types import LoadJobStatus +from dlt.loaders.exceptions import LoadClientSchemaVersionCorrupted, LoadUnknownTableException + +# typing for context manager +TClient = TypeVar("TClient", bound="ClientBase") + + +class LoadJob: + def __init__(self, file_name: str) -> None: + """ + File name is also a job id (or job id is deterministically derived) so it must be globally unique + """ + self._file_name = file_name + + @abstractmethod + def status(self) -> LoadJobStatus: + pass + + @abstractmethod + def file_name(self) -> str: + pass + + @abstractmethod + def exception(self) -> str: + pass + + +class LoadEmptyJob(LoadJob): + def __init__(self, file_name: str, status: LoadJobStatus, exception: str = None) -> None: + self._status = status + self._exception = exception + super().__init__(file_name) + + def status(self) -> LoadJobStatus: + return self._status + + def file_name(self) -> str: + return self._file_name + + def exception(self) -> str: + return self._exception + + +class ClientBase(ABC): + def __init__(self, schema: Schema) -> None: + self.schema = schema + + @abstractmethod + def initialize_storage(self) -> None: + pass + + @abstractmethod + def update_storage_schema(self) -> None: + pass + + @abstractmethod + def start_file_load(self, table_name: str, file_path: str) -> LoadJob: + pass + + @abstractmethod + def get_file_load(self, file_path: str) -> LoadJob: + pass + + @abstractmethod + def complete_load(self, load_id: str) -> None: + pass + + @abstractmethod + def _open_connection(self) -> None: + pass + + @abstractmethod + def _close_connection(self) -> None: + pass + + + def __enter__(self: TClient) -> TClient: + self._open_connection() + return self + + def __exit__(self, exc_type: Type[BaseException], exc_val: BaseException, exc_tb: TracebackType) -> None: + self._close_connection() + + def _get_table_by_name(self, table_name: str, file_name: str) -> Table: + try: + return self.schema.get_table(table_name) + except KeyError: + raise LoadUnknownTableException(table_name, file_name) + + @staticmethod + def get_file_name_from_file_path(file_path: str) -> str: + return Path(file_path).name + + @staticmethod + def make_job_with_status(file_path: str, status: LoadJobStatus, message: str = None) -> LoadJob: + return LoadEmptyJob(ClientBase.get_file_name_from_file_path(file_path), status, exception=message) + + @staticmethod + def make_absolute_path(file_path: str) -> str: + return str(Path(file_path).absolute()) + + +class SqlClientBase(ClientBase): + def __init__(self, schema: Schema) -> None: + super().__init__(schema) + + def complete_load(self, load_id: str) -> None: + name = self._to_canonical_table_name(Schema.LOADS_TABLE_NAME) + now_ts = str(pendulum.now()) + self._execute_sql(f"INSERT INTO {name}(load_id, status, inserted_at) VALUES('{load_id}', 0, '{now_ts}');") + + @abstractmethod + def _execute_sql(self, query: AnyStr) -> Any: + pass + + @abstractmethod + def _to_canonical_schema_name(self) -> str: + pass + + def _create_table_update(self, table_name: str, storage_table: Table) -> Sequence[Column]: + # compare table with stored schema and produce delta + l = self.schema.get_schema_update_for(table_name, storage_table) + logger.info(f"Found {len(l)} updates for {table_name} in {self.schema.schema_name}") + return l + + def _to_canonical_table_name(self, table_name: str) -> str: + return f"{self._to_canonical_schema_name()}.{table_name}" + + def _get_schema_version_from_storage(self) -> int: + name = self._to_canonical_table_name(Schema.VERSION_TABLE_NAME) + rows = list(self._execute_sql(f"SELECT {Schema.VERSION_COLUMN_NAME} FROM {name} ORDER BY inserted_at DESC LIMIT 1;")) + if len(rows) > 1: + raise LoadClientSchemaVersionCorrupted(self._to_canonical_schema_name()) + if len(rows) == 0: + return 0 + return int(rows[0][0]) + + def _update_schema_version(self, new_version: int) -> None: + now_ts = str(pendulum.now()) + name = self._to_canonical_table_name(Schema.VERSION_TABLE_NAME) + self._execute_sql(f"INSERT INTO {name}({Schema.VERSION_COLUMN_NAME}, engine_version, inserted_at) VALUES ({new_version}, {Schema.ENGINE_VERSION}, '{now_ts}');") diff --git a/dlt/loaders/configuration.py b/dlt/loaders/configuration.py new file mode 100644 index 0000000000..40d5e75796 --- /dev/null +++ b/dlt/loaders/configuration.py @@ -0,0 +1,51 @@ +from typing import Any, Type + +from dlt.common.utils import uniq_id +from dlt.common.typing import StrAny +from dlt.common.configuration import (PoolRunnerConfiguration, + LoadingVolumeConfiguration, + ProductionLoadingVolumeConfiguration, + PostgresConfiguration, PostgresProductionConfiguration, + GcpClientConfiguration, GcpClientProductionConfiguration, + TPoolType, make_configuration) + +from dlt.loaders.dummy.configuration import DummyClientConfiguration + +from . import __version__ + +class LoaderConfiguration(PoolRunnerConfiguration, LoadingVolumeConfiguration): + CLIENT_TYPE: str = "dummy" # which analytical storage to use + MAX_PARALLEL_LOADS: int = 20 # how many parallel loads can be executed + MAX_PARALLELISM: int = 20 # in 20 separate threads + POOL_TYPE: TPoolType = "thread" # mostly i/o (upload) so may be thread pool + + +class ProductionLoaderConfiguration(ProductionLoadingVolumeConfiguration, LoaderConfiguration): + pass + + +def configuration(initial_values: StrAny = None) -> Type[LoaderConfiguration]: + # synthesize right configuration + C = make_configuration(LoaderConfiguration, ProductionLoaderConfiguration, initial_values=initial_values) + T: Type[Any] = None + T_P: Type[Any] = None + if C.CLIENT_TYPE == "dummy": + T = DummyClientConfiguration + T_P = DummyClientConfiguration + elif C.CLIENT_TYPE == "gcp": + T = GcpClientConfiguration + T_P = GcpClientProductionConfiguration + elif C.CLIENT_TYPE == "redshift": + T = PostgresConfiguration + T_P = PostgresProductionConfiguration + else: + raise ValueError(C.CLIENT_TYPE) + + ST = type(LoaderConfiguration.__name__ + "_" + T.__name__ + "_" + uniq_id(), (T, LoaderConfiguration), {}) + ST_P = type(ProductionLoaderConfiguration.__name__ + "_" + T_P.__name__ + "_" + uniq_id(), (T_P, ProductionLoaderConfiguration), {}) + return make_configuration( + ST, + ST_P, + initial_values=initial_values, + skip_subclass_check=True + ) diff --git a/dlt/loaders/dummy/__init__.py b/dlt/loaders/dummy/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/dlt/loaders/dummy/client.py b/dlt/loaders/dummy/client.py new file mode 100644 index 0000000000..9bfc01ae7a --- /dev/null +++ b/dlt/loaders/dummy/client.py @@ -0,0 +1,134 @@ +from datetime import time +import random +from typing import Dict, Literal, Type +from dlt.common.dataset_writers import TWriterType + +from dlt.common import pendulum +from dlt.common.schema import Schema +from dlt.common.typing import StrAny + +from dlt.loaders.client_base import ClientBase, LoadJob +from dlt.loaders.local_types import LoadJobStatus +from dlt.loaders.exceptions import (LoadJobNotExistsException, LoadJobInvalidStateTransitionException, + LoadClientTerminalException, LoadClientTransientException) + +from dlt.loaders.dummy.configuration import DummyClientConfiguration + + +class LoadDummyJob(LoadJob): + def __init__(self, file_name: str, fail_prob: float = 0.0, retry_prob: float = 0.0, completed_prob: float = 1.0, timeout: float = 10.0) -> None: + self.fail_prob = fail_prob + self.retry_prob = retry_prob + self.completed_prob = completed_prob + self.timeout = timeout + self._status: LoadJobStatus = "running" + self._exception: str = None + self.start_time: float = pendulum.now().timestamp() + super().__init__(file_name) + s = self.status() + if s == "failed": + raise LoadClientTerminalException(self._exception) + if s == "retry": + raise LoadClientTransientException(self._exception) + + + def status(self) -> LoadJobStatus: + # this should poll the server for a job status, here we simulate various outcomes + if self._status == "running": + n = pendulum.now().timestamp() + if n - self.start_time > self.timeout: + self._status = "failed" + self._exception = "failed due to timeout" + else: + c_r = random.random() + if self.completed_prob >= c_r: + self._status = "completed" + else: + c_r = random.random() + if self.retry_prob >= c_r: + self._status = "retry" + self._exception = "a random retry occured" + else: + c_r = random.random() + if self.fail_prob >= c_r: + self._status = "failed" + self._exception = "a random fail occured" + + return self._status + + def file_name(self) -> str: + return self._file_name + + def exception(self) -> str: + # this will typically call server for error messages + return self._exception + + def retry(self) -> None: + if self._status != "retry": + raise LoadJobInvalidStateTransitionException(self._status, "retry") + self._status = "retry" + + +JOBS: Dict[str, LoadDummyJob] = {} + + +class DummyClient(ClientBase): + """ + dummy client storing jobs in memory + """ + def __init__(self, schema: Schema, CONFIG: Type[DummyClientConfiguration]) -> None: + self.C = CONFIG + super().__init__(schema) + + def initialize_storage(self) -> None: + pass + + def update_storage_schema(self) -> None: + pass + + def start_file_load(self, table_name: str, file_path: str) -> LoadJob: + self._get_table_by_name(table_name, file_path) + job_id = ClientBase.get_file_name_from_file_path(file_path) + file_name = ClientBase.get_file_name_from_file_path(file_path) + # return existing job if already there + if job_id not in JOBS: + JOBS[job_id] = self._create_job(file_name) + else: + job = JOBS[job_id] + if job.status == "retry": + job.retry() + + return JOBS[job_id] + + def get_file_load(self, file_path: str) -> LoadJob: + job_id = ClientBase.get_file_name_from_file_path(file_path) + if job_id not in JOBS: + raise LoadJobNotExistsException(job_id) + return JOBS[job_id] + + def complete_load(self, load_id: str) -> None: + pass + + def _open_connection(self) -> None: + pass + + def _close_connection(self) -> None: + pass + + def _create_job(self, job_id: str) -> LoadDummyJob: + return LoadDummyJob( + job_id, + fail_prob=self.C.FAIL_PROB, + retry_prob=self.C.RETRY_PROB, + completed_prob=self.C.COMPLETED_PROB, + timeout=self.C.TIMEOUT + ) + + + +def make_client(schema: Schema, C: Type[DummyClientConfiguration]) -> ClientBase: + return DummyClient(schema, C) + + +def supported_writer(C: Type[DummyClientConfiguration]) -> TWriterType: + return C.WRITER_TYPE diff --git a/dlt/loaders/dummy/configuration.py b/dlt/loaders/dummy/configuration.py new file mode 100644 index 0000000000..2bf408af9b --- /dev/null +++ b/dlt/loaders/dummy/configuration.py @@ -0,0 +1,8 @@ +from dlt.common.dataset_writers import TWriterType + +class DummyClientConfiguration: + WRITER_TYPE: TWriterType = "jsonl" + FAIL_PROB: float = 0.0 + RETRY_PROB: float = 0.0 + COMPLETED_PROB: float = 0.0 + TIMEOUT: float = 10.0 diff --git a/dlt/loaders/exceptions.py b/dlt/loaders/exceptions.py new file mode 100644 index 0000000000..6f08f11228 --- /dev/null +++ b/dlt/loaders/exceptions.py @@ -0,0 +1,72 @@ +from typing import Sequence +from dlt.common.exceptions import DltException, TerminalException, TransientException + +from dlt.loaders.local_types import LoadJobStatus + + +class LoadException(DltException): + def __init__(self, msg: str) -> None: + super().__init__(msg) + + +class LoadClientTerminalException(LoadException, TerminalException): + def __init__(self, msg: str) -> None: + super().__init__(msg) + + +class LoadClientTransientException(LoadException, TransientException): + def __init__(self, msg: str) -> None: + super().__init__(msg) + + +class LoadClientTerminalInnerException(LoadClientTerminalException): + def __init__(self, msg: str, inner_exc: Exception) -> None: + self.inner_exc = inner_exc + super().__init__(msg) + + +class LoadClientTransientInnerException(LoadClientTransientException): + def __init__(self, msg: str, inner_exc: Exception) -> None: + self.inner_exc = inner_exc + super().__init__(msg) + + + +class LoadJobNotExistsException(LoadClientTerminalException): + def __init__(self, job_id: str) -> None: + super().__init__(f"Job with id/file name {job_id} not found") + + +class LoadUnknownTableException(LoadClientTerminalException): + def __init__(self, table_name: str, file_name: str) -> None: + self.table_name = table_name + super().__init__(f"Client does not know table {table_name} for load file {file_name}") + + +class LoadJobInvalidStateTransitionException(LoadClientTerminalException): + def __init__(self, from_state: LoadJobStatus, to_state: LoadJobStatus) -> None: + self.from_state = from_state + self.to_state = to_state + super().__init__(f"Load job cannot transition form {from_state} to {to_state}") + +class LoadJobServerTerminalException(LoadClientTerminalException): + def __init__(self, file_path: str) -> None: + super().__init__(f"Job with id/file name {file_path} encountered unrecoverable problem") + + +class LoadClientSchemaVersionCorrupted(LoadClientTerminalException): + def __init__(self, dataset_name: str) -> None: + self.dataset_name = dataset_name + super().__init__(f"Schema _version table contains too many rows in {dataset_name}") + + +class LoadClientSchemaWillNotUpdate(LoadClientTerminalException): + def __init__(self, table_name: str, columns: Sequence[str], msg: str) -> None: + self.table_name = table_name + self.columns = columns + super().__init__(f"Schema for table {table_name} column(s) {columns} will not update: {msg}") + + +class LoadFileTooBig(LoadClientTerminalException): + def __init__(self, file_name: str, max_size: int) -> None: + super().__init__(f"File {file_name} exceedes {max_size} and cannot be loaded. Split the file and try again.") diff --git a/dlt/loaders/gcp/README.md b/dlt/loaders/gcp/README.md new file mode 100644 index 0000000000..3d92856180 --- /dev/null +++ b/dlt/loaders/gcp/README.md @@ -0,0 +1,6 @@ +# Loader account setup + +1. Create new services account, add private key to it and download the `services.json` file +2. Make sure that this newly created account has access to BigQuery API +3. You must add followig roles to the account above: `BigQuery Data Editor` and `BigQuey Job User` +4. IAM to add roles is here https://console.cloud.google.com/iam-admin/iam?project=chat-analytics-rasa-ci \ No newline at end of file diff --git a/dlt/loaders/gcp/__init__.py b/dlt/loaders/gcp/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/dlt/loaders/gcp/client.py b/dlt/loaders/gcp/client.py new file mode 100644 index 0000000000..fa8b9237a7 --- /dev/null +++ b/dlt/loaders/gcp/client.py @@ -0,0 +1,324 @@ + +from pathlib import Path +from typing import Any, AnyStr, Dict, List, Literal, Optional, Tuple, Type +import google.cloud.bigquery as bigquery +from google.cloud import exceptions as gcp_exceptions +from google.oauth2 import service_account +from google.api_core import exceptions as api_core_exceptions + + +from dlt.common import json, logger +from dlt.common.arithmetics import DEFAULT_NUMERIC_PRECISION, DEFAULT_NUMERIC_SCALE +from dlt.common.configuration import GcpClientConfiguration +from dlt.common.dataset_writers import TWriterType, escape_bigquery_identifier +from dlt.loaders.local_types import LoadJobStatus +from dlt.common.schema import Column, DataType, Schema, Table + +from dlt.loaders.client_base import SqlClientBase, LoadJob +from dlt.loaders.exceptions import LoadClientSchemaWillNotUpdate, LoadJobNotExistsException, LoadJobServerTerminalException, LoadUnknownTableException + +SCT_TO_BQT: Dict[DataType, str] = { + "text": "STRING", + "double": "FLOAT64", + "bool": "BOOLEAN", + "timestamp": "TIMESTAMP", + "bigint": "INTEGER", + "binary": "BYTES", + "decimal": f"NUMERIC({DEFAULT_NUMERIC_PRECISION},{DEFAULT_NUMERIC_SCALE})", + "wei": "BIGNUMERIC" # non parametrized should hold wei values +} + +BQT_TO_SCT: Dict[str, DataType] = { + "STRING": "text", + "FLOAT": "double", + "BOOLEAN": "bool", + "TIMESTAMP": "timestamp", + "INTEGER": "bigint", + "BYTES": "binary", + "NUMERIC": "decimal", + "BIGNUMERIC": "decimal" +} + +class BigQueryLoadJob(LoadJob): + def __init__(self, file_name: str, bq_load_job: bigquery.LoadJob, CONFIG: Type[GcpClientConfiguration]) -> None: + self.bq_load_job = bq_load_job + self.C = CONFIG + self.default_retry = bigquery.DEFAULT_RETRY.with_deadline(CONFIG.TIMEOUT) + super().__init__(file_name) + + def status(self) -> LoadJobStatus: + # check server if done + done = self.bq_load_job.done(retry=self.default_retry, timeout=self.C.TIMEOUT) + if done: + # rows processed + if self.bq_load_job.output_rows is not None and self.bq_load_job.error_result is None: + return "completed" + else: + return "failed" + else: + return "running" + + def file_name(self) -> str: + return self._file_name + + def exception(self) -> str: + exception: str = json.dumps({ + "error_result": self.bq_load_job.error_result, + "errors": self.bq_load_job.errors, + "job_start": self.bq_load_job.started, + "job_end": self.bq_load_job.ended, + "job_id": self.bq_load_job.job_id + }) + return exception + + +class BigQueryClient(SqlClientBase): + def __init__(self, schema: Schema, CONFIG: Type[GcpClientConfiguration]) -> None: + self._client: bigquery.Client = None + self.C = CONFIG + self.default_retry = bigquery.DEFAULT_RETRY.with_deadline(CONFIG.TIMEOUT) + super().__init__(schema) + + + def initialize_storage(self) -> None: + dataset_name = self._to_canonical_schema_name() + try: + self._client.get_dataset(dataset_name, retry=self.default_retry, timeout=self.C.TIMEOUT) + except gcp_exceptions.NotFound: + self._client.create_dataset(dataset_name, exists_ok=False, retry=self.default_retry, timeout=self.C.TIMEOUT) + + def get_file_load(self, file_path: str) -> LoadJob: + try: + return BigQueryLoadJob( + SqlClientBase.get_file_name_from_file_path(file_path), + self._retrieve_load_job(file_path), + self.C + ) + except api_core_exceptions.NotFound: + raise LoadJobNotExistsException(file_path) + except (api_core_exceptions.BadRequest, api_core_exceptions.NotFound): + raise LoadJobServerTerminalException(file_path) + + def start_file_load(self, table_name: str, file_path: str) -> LoadJob: + # verify that table exists in the schema + self._get_table_by_name(table_name, file_path) + try: + return BigQueryLoadJob( + SqlClientBase.get_file_name_from_file_path(file_path), + self._create_load_job(table_name, file_path), + self.C + ) + except api_core_exceptions.NotFound: + # google.api_core.exceptions.BadRequest - will not be processed ie bad job name + raise LoadUnknownTableException(table_name, file_path) + except (api_core_exceptions.BadRequest, api_core_exceptions.NotFound): + # google.api_core.exceptions.NotFound: 404 - table not found + raise LoadJobServerTerminalException(file_path) + except api_core_exceptions.Conflict: + # google.api_core.exceptions.Conflict: 409 PUT - already exists + return self.get_file_load(file_path) + + def update_storage_schema(self) -> None: + storage_version = self._get_schema_version_from_storage() + if storage_version < self.schema.schema_version: + for sql in self._build_schema_update_sql(): + self._execute_sql(sql) + self._update_schema_version(self.schema.schema_version) + + def _open_connection(self) -> None: + credentials = service_account.Credentials.from_service_account_info(self.C.to_service_credentials()) + self._client = bigquery.Client(self.C.PROJECT_ID, credentials=credentials) + + def _close_connection(self) -> None: + if self._client: + self._client.close() + self._client = None + + def _get_schema_version_from_storage(self) -> int: + try: + return super()._get_schema_version_from_storage() + except api_core_exceptions.NotFound: + # there's no table so there's no schema + return 0 + + def _build_schema_update_sql(self) -> List[str]: + sql_updates = [] + for table_name in self.schema.schema_tables: + exists, storage_table = self._get_storage_table(table_name) + sql = self._get_table_update_sql(table_name, storage_table, exists) + if sql: + sql_updates.append(sql) + return sql_updates + + def _get_table_update_sql(self, table_name: str, storage_table: Table, exists: bool) -> str: + new_columns = self._create_table_update(table_name, storage_table) + if len(new_columns) == 0: + # no changes + return None + # build sql + canonical_name = self._to_canonical_table_name(table_name) + if not exists: + # build CREATE + sql = f"CREATE TABLE {canonical_name} (\n" + sql += ",\n".join([self._get_column_def_sql(c) for c in new_columns]) + sql += ")" + else: + # build ALTER + sql = f"ALTER TABLE {canonical_name}\n" + sql += ",\n".join(["ADD COLUMN " + self._get_column_def_sql(c) for c in new_columns]) + # scan columns to get hints + cluster_list = [escape_bigquery_identifier(c["name"]) for c in new_columns if c.get("cluster", False)] + partition_list = [escape_bigquery_identifier(c["name"]) for c in new_columns if c.get("partition", False)] + # partition by must be added first + if len(partition_list) > 0: + if exists: + raise LoadClientSchemaWillNotUpdate(canonical_name, partition_list, "Partition requested after table was created") + elif len(partition_list) > 1: + raise LoadClientSchemaWillNotUpdate(canonical_name, partition_list, "Partition requested for more than one column") + else: + sql += f"\nPARTITION BY DATE({partition_list[0]})" + if len(cluster_list) > 0: + if exists: + raise LoadClientSchemaWillNotUpdate(canonical_name, cluster_list, "Clustering requested after table was created") + else: + sql += "\nCLUSTER BY " + ",".join(cluster_list) + + return sql + + def _get_column_def_sql(self, c: Column) -> str: + name = escape_bigquery_identifier(c["name"]) + return f"{name} {self._sc_t_to_bq_t(c['data_type'])} {self._gen_not_null(c['nullable'])}" + + def _get_storage_table(self, table_name: str) -> Tuple[bool, Table]: + schema_table: Table = {} + try: + table = self._client.get_table(self._to_canonical_table_name(table_name), retry=self.default_retry, timeout=self.C.TIMEOUT) + partition_field = table.time_partitioning.field if table.time_partitioning else None + for c in table.schema: + schema_c: Column = { + "name": c.name, + "nullable": c.is_nullable, + "data_type": self._bq_t_to_sc_t(c.field_type, c.precision, c.scale), + "unique": False, + "sort": False, + "primary_key": False, + "foreign_key": False, + "cluster": c.name in (table.clustering_fields or []), + "partition": c.name == partition_field + } + schema_table[c.name] = schema_c + return True, schema_table + except gcp_exceptions.NotFound: + return False, schema_table + + def _execute_sql(self, query: AnyStr) -> Any: + logger.debug(f"Will execute query {query}") # type: ignore + return self._client.query(query, job_retry=self.default_retry, timeout=self.C.TIMEOUT).result() + + def _to_canonical_schema_name(self) -> str: + return f"{self.C.PROJECT_ID}.{self.C.DATASET}_{self.schema.schema_name}" + + def _create_load_job(self, table_name: str, file_path: str) -> bigquery.LoadJob: + job_id = BigQueryClient._get_job_id_from_file_path(file_path) + job_config = bigquery.LoadJobConfig( + autodetect=False, + write_disposition=bigquery.WriteDisposition.WRITE_APPEND, + create_disposition=bigquery.CreateDisposition.CREATE_NEVER, + source_format=bigquery.SourceFormat.NEWLINE_DELIMITED_JSON, + ignore_unknown_values=False, + max_bad_records=0, + + ) + with open(file_path, "rb") as f: + return self._client.load_table_from_file(f, + self._to_canonical_table_name(table_name), + job_id=job_id, + job_config=job_config, + timeout=self.C.TIMEOUT + ) + + def _retrieve_load_job(self, file_path: str) -> bigquery.LoadJob: + job_id = BigQueryClient._get_job_id_from_file_path(file_path) + return self._client.get_job(job_id) + + @staticmethod + def _get_job_id_from_file_path(file_path: str) -> str: + return Path(file_path).name.replace(".", "_") + + @staticmethod + def _gen_not_null(v: bool) -> str: + return "NOT NULL" if not v else "" + + @staticmethod + def _sc_t_to_bq_t(sc_t: DataType) -> str: + return SCT_TO_BQT[sc_t] + + @staticmethod + def _bq_t_to_sc_t(bq_t: str, precision: Optional[int], scale: Optional[int]) -> DataType: + if bq_t == "BIGNUMERIC": + if precision is None: # biggest numeric possible + return "wei" + return BQT_TO_SCT.get(bq_t, "text") + + +def make_client(schema: Schema, C: Type[GcpClientConfiguration]) -> BigQueryClient: + return BigQueryClient(schema, C) + + +def supported_writer(C: Type[GcpClientConfiguration]) -> TWriterType: + return "jsonl" + +# cred = service_account.Credentials.from_service_account_info(_credentials) +# project_id = cred.get('project_id') +# client = bigquery.Client(project_id, credentials=cred) +# print(client.get_dataset("carbon_bot_extract_7")) +# exit(0) +# from dlt.common.configuration import SchemaStoreConfiguration +# from dlt.common.logger import init_logging_from_config + +# init_logging_from_config(CLIENT_CONFIG) + +# schema = Schema(SchemaStoreConfiguration.TRACKER_SCHEMA_FILE_PATH) +# schema.load_schema() +# import pprint +# # pprint.pprint(schema.as_yaml()) +# with make_client(schema) as client: +# client.initialize_storage() +# # job = client._create_load_job("tracker", "_storage/loaded/1630949263.574516/completed_jobs/tracker.1c31ff1b-c250-4690-8973-14f0ee9ae355.jsonl") +# # unk table +# # job = client._create_load_job("trackerZ", "_storage/loaded/1630949263.574516/completed_jobs/tracker.4876f905-aefe-4262-a440-d29ed2643c3a.jsonl") +# # job = client._create_load_job("tracker", "_storage/loaded/1630949263.574516/completed_jobs/event_bot.c9105079-2d1d-4ad3-8613-a5dff790889d.jsonl") +# # failed +# # job = client._retrieve_load_job("_storage/loaded/1630949263.574516/completed_jobs/event_bot.c9105079-2d1d-4ad3-8613-a5dff790889d.jsonl") +# # OK +# job = client._retrieve_load_job("_storage/loaded/1630949263.574516/completed_jobs/tracker.1c31ff1b-c250-4690-8973-14f0ee9ae355.jsonl") +# while True: +# try: +# # this does not throw +# done = job.done() +# print(f"DONE: {job.done(reload=False)}") +# except Exception as e: +# logger.exception("DONE") +# done = True +# if done: +# break; +# # done is not self running + +# # print(job.running()) +# sleep(1) +# try: +# print(f"status: {job.state}") +# print(f"error: {job.error_result}") +# print(f"errors: {job.errors}") +# print(f"line count: {job.output_rows}") +# print(job.exception()) +# except: +# logger.exception("EXCEPTION") +# try: +# print(job.result()) +# except: +# logger.exception("RESULT") + + # non existing table + # wrong data - unknown column + diff --git a/dlt/loaders/loader.py b/dlt/loaders/loader.py new file mode 100644 index 0000000000..3567ba5bf3 --- /dev/null +++ b/dlt/loaders/loader.py @@ -0,0 +1,238 @@ +from types import ModuleType +from typing import Any, Iterator, List, Dict, Literal, Optional, Tuple, Type +from multiprocessing.pool import ThreadPool +from importlib import import_module +from prometheus_client import REGISTRY, Counter, Gauge, CollectorRegistry, Summary +from prometheus_client.metrics import MetricWrapperBase + +from dlt.common import sleep, logger +from dlt.common.runners import TRunArgs, TRunMetrics, create_default_args, initialize_runner, pool_runner +from dlt.common.logger import process_internal_exception, pretty_format_exception +from dlt.common.exceptions import TerminalValueError +from dlt.common.dataset_writers import TWriterType +from dlt.common.schema import Schema +from dlt.common.storages import SchemaStorage +from dlt.common.storages.loader_storage import LoaderStorage +from dlt.common.telemetry import get_logging_extras, set_gauge_all_labels + +from dlt.loaders.exceptions import LoadClientTerminalException, LoadClientTransientException, LoadJobNotExistsException +from dlt.loaders.client_base import ClientBase, LoadJob +from dlt.loaders.local_types import LoadJobStatus +from dlt.loaders.configuration import configuration, LoaderConfiguration + + +CONFIG: Type[LoaderConfiguration] = None +load_storage: LoaderStorage = None +client_module: ModuleType = None +load_counter: Counter = None +job_gauge: Gauge = None +job_counter: Counter = None +job_wait_summary: Summary = None + + +def client_impl(client_type: str) -> ModuleType: + return import_module(f".{client_type}.client", "dlt.loaders") + + +def create_client(schema: Schema) -> ClientBase: + return client_module.make_client(schema, CONFIG) # type: ignore + + +def supported_writer() -> TWriterType: + return client_module.supported_writer(CONFIG) # type: ignore + + +def create_folders() -> LoaderStorage: + load_storage = LoaderStorage(False, CONFIG, supported_writer()) + load_storage.initialize_storage() + return load_storage + + +def create_gauges(registry: CollectorRegistry) -> Tuple[MetricWrapperBase, MetricWrapperBase, MetricWrapperBase, MetricWrapperBase]: + return ( + Counter("loader_load_package_counter", "Counts load package processed", registry=registry), + Gauge("loader_last_package_jobs_counter", "Counts jobs in last package per status", ["status"], registry=registry), + Counter("loader_jobs_counter", "Counts jobs per job status", ["status"], registry=registry), + Summary("loader_jobs_wait_seconds", "Counts jobs total wait until completion", registry=registry) + ) + + +def spool_job(file_path: str, load_id: str, schema: Schema) -> Optional[LoadJob]: + # open new connection for each upload + job: LoadJob = None + try: + with create_client(schema) as client: + table_name, _ = load_storage.parse_load_file_name(file_path) + logger.info(f"Will load file {file_path} with table name {table_name}") + job = client.start_file_load(table_name, load_storage.storage._make_path(file_path)) + except (LoadClientTerminalException, TerminalValueError): + # if job irreversible cannot be started, mark it as failed + process_internal_exception(f"Terminal problem with spooling job {file_path}") + job = ClientBase.make_job_with_status(file_path, "failed", pretty_format_exception()) + except (LoadClientTransientException, Exception): + # return no job so file stays in new jobs (root) folder + process_internal_exception(f"Temporary problem with spooling job {file_path}") + return None + load_storage.start_job(load_id, job.file_name()) + return job + + +def spool_new_jobs(pool: ThreadPool, load_id: str, schema: Schema) -> Tuple[int, List[LoadJob]]: + # TODO: validate file type, combine files, finalize etc., this is client specific, jsonl for single table + # can just be combined, insert_values must be finalized and then combined + # use thread based pool as jobs processing is mostly I/O and we do not want to pickle jobs + # TODO: combine files by providing a list of files pertaining to same table into job, so job must be + # extended to accept a list + load_files = load_storage.list_new_jobs(load_id)[:CONFIG.MAX_PARALLEL_LOADS] + file_count = len(load_files) + if file_count == 0: + logger.info(f"No new jobs found in {load_id}") + return 0, [] + logger.info(f"Will load {file_count}, creating jobs") + param_chunk = [(file, load_id, schema) for file in load_files] + # exceptions should not be raised, None as job is a temporary failure + # other jobs should not be affected + jobs: List[LoadJob] = pool.starmap(spool_job, param_chunk) + # remove None jobs and check the rest + return file_count, [job for job in jobs if job is not None] + + +def retrieve_jobs(client: ClientBase, load_id: str) -> Tuple[int, List[LoadJob]]: + jobs: List[LoadJob] = [] + + # list all files that were started but not yet completed + started_jobs = load_storage.list_started_jobs(load_id) + logger.info(f"Found {len(started_jobs)} that are already started and should be continued") + if len(started_jobs) == 0: + return 0, jobs + + for file_path in started_jobs: + try: + logger.info(f"Will retrieve {file_path}") + job = client.get_file_load(file_path) + except LoadClientTerminalException: + process_internal_exception(f"Job retrieval for {file_path} failed, job will be terminated") + job = ClientBase.make_job_with_status(file_path, "failed", pretty_format_exception()) + # proceed to appending job, do not reraise + except (LoadClientTransientException, Exception) as e: + # raise on all temporary exceptions, typically network / server problems + raise + jobs.append(job) + + job_gauge.labels("retrieved").inc() + job_counter.labels("retrieved").inc() + logger.metrics("Retrieve jobs metrics", + extra=get_logging_extras([job_gauge.labels("retrieved"), job_counter.labels("retrieved")]) + ) + return len(jobs), jobs + + +def complete_jobs(load_id: str, jobs: List[LoadJob]) -> List[LoadJob]: + remaining_jobs: List[LoadJob] = [] + logger.info(f"Will complete {len(jobs)} for {load_id}") + for ii in range(len(jobs)): + job = jobs[ii] + logger.debug(f"Checking status for job {job.file_name()}") + status: LoadJobStatus = job.status() + final_location: str = None + if status == "running": + # ask again + logger.debug(f"job {job.file_name()} still running") + remaining_jobs.append(job) + elif status == "failed": + # try to get exception message from job + failed_message = job.exception() + final_location = load_storage.fail_job(load_id, job.file_name(), failed_message) + logger.error(f"Job for {job.file_name()} failed terminally in load {load_id} with message {failed_message}") + elif status == "retry": + # try to get exception message from job + retry_message = job.exception() + # move back to new folder to try again + final_location = load_storage.retry_job(load_id, job.file_name()) + logger.error(f"Job for {job.file_name()} retried in load {load_id} with message {retry_message}") + elif status == "completed": + # move to completed folder + final_location = load_storage.complete_job(load_id, job.file_name()) + logger.info(f"Job for {job.file_name()} completed in load {load_id}") + + if status != "running": + job_gauge.labels(status).inc() + job_counter.labels(status).inc() + job_wait_summary.observe(load_storage.job_elapsed_time_seconds(final_location)) + + logger.metrics("Completing jobs metrics", extra=get_logging_extras([job_counter, job_gauge, job_wait_summary])) + return remaining_jobs + + + +def run(pool: ThreadPool) -> TRunMetrics: + logger.info(f"Running file loading") + # get list of loads and order by name ASC to execute schema updates + loads = load_storage.list_loads() + logger.info(f"Found {len(loads)} load packages") + if len(loads) == 0: + return TRunMetrics(True, False, 0) + + load_id = loads[0] + logger.info(f"Loading schema from load package in {load_id}") + # one load package contains table from one schema + schema_storage = SchemaStorage(load_storage.storage.storage_path) + # get relative path to load schema from load package + schema = schema_storage.load_folder_schema(load_storage.get_load_path(load_id)) + logger.info(f"Loaded schema name {schema.schema_name} and version {schema.schema_version}") + # initialize analytical storage ie. create dataset required by passed schema + with create_client(schema) as client: + logger.info(f"Client {CONFIG.CLIENT_TYPE} will start load") + client.initialize_storage() + schema_update = load_storage.begin_schema_update(load_id) + if schema_update: + logger.info(f"Client {CONFIG.CLIENT_TYPE} will update schema to package schema") + client.update_storage_schema() + load_storage.commit_schema_update(load_id) + # spool or retrieve unfinished jobs + jobs_count, jobs = retrieve_jobs(client, load_id) + if not jobs: + # jobs count is a total number of jobs including those that could not be initialized + jobs_count, jobs = spool_new_jobs(pool, load_id, schema) + if jobs_count > 0: + # this is a new load package + set_gauge_all_labels(job_gauge, 0) + job_gauge.labels("running").inc(len(jobs)) + job_counter.labels("running").inc(len(jobs)) + logger.metrics("New jobs metrics", + extra=get_logging_extras([job_counter.labels("running"), job_gauge.labels("running")]) + ) + # if there are no existing or new jobs we archive the package + if jobs_count == 0: + with create_client(schema) as client: + remaining_jobs = client.complete_load(load_id) + load_storage.archive_load(load_id) + logger.info(f"All jobs completed, archiving package {load_id}") + load_counter.inc() + logger.metrics("Load package metrics", extra=get_logging_extras([load_counter])) + else: + while True: + remaining_jobs = complete_jobs(load_id, jobs) + if len(remaining_jobs) == 0: + break + # process remaining jobs again + jobs = remaining_jobs + # this will raise on signal + sleep(1) + + return TRunMetrics(False, False, len(load_storage.list_loads())) + + +if __name__ == '__main__': + CONFIG = configuration() + parser = create_default_args(CONFIG) + args = parser.parse_args() + initialize_runner(CONFIG, TRunArgs(args.single_run, args.wait_runs)) + try: + client_module = client_impl(CONFIG.CLIENT_TYPE) + load_counter, job_gauge, job_counter, job_wait_summary = create_gauges(REGISTRY) + load_storage = create_folders() + except Exception: + process_internal_exception("run") + exit(-1) + exit(pool_runner(CONFIG, run)) diff --git a/dlt/loaders/local_types.py b/dlt/loaders/local_types.py new file mode 100644 index 0000000000..35ae2bdc93 --- /dev/null +++ b/dlt/loaders/local_types.py @@ -0,0 +1,4 @@ +from typing import Literal + + +LoadJobStatus = Literal["running", "failed", "retry", "completed"] diff --git a/dlt/loaders/redshift/README.md b/dlt/loaders/redshift/README.md new file mode 100644 index 0000000000..22d182e7b5 --- /dev/null +++ b/dlt/loaders/redshift/README.md @@ -0,0 +1,23 @@ +# Public Access setup +There's *Modify publicly accessible settings* in Actions of each Redshift cluster. Assign your IP there. + +# Runtime optimization + +https://www.intermix.io/blog/top-14-performance-tuning-techniques-for-amazon-redshift/ + +1. we should use separate work queue for loader user +2. they suggest to not use dist keys +3. data must be inserted in order of sortkey + +# loader account setup + +1. Create new database `CREATE DATABASE chat_analytics_rasa_ci` +2. Create new user, set password +3. Set as database owner (we could set lower permission) `ALTER DATABASE chat_analytics_rasa_ci OWNER TO loader` + +# Public access setup for Serverless +Follow https://docs.aws.amazon.com/redshift/latest/mgmt/serverless-connecting.html `Connecting from the public subnet to the Amazon Redshift Serverless endpoint using Network Load Balancer` + +that will use terraform template to create load balancer endpoint and assign public IP. The cost of the load balancer is ~16$/month + cost of IP + +It seems that port 5439 is closed to the VPC on which serverless redshift created itself. In the cluster panel: Data Access : VPC security group add Inbound Rule to allow 5439 port from any subnet 0.0.0.0/0 \ No newline at end of file diff --git a/dlt/loaders/redshift/__init__.py b/dlt/loaders/redshift/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/dlt/loaders/redshift/client.py b/dlt/loaders/redshift/client.py new file mode 100644 index 0000000000..c5591fe8ee --- /dev/null +++ b/dlt/loaders/redshift/client.py @@ -0,0 +1,282 @@ +import os +import psycopg2 +from psycopg2.sql import SQL, Identifier, Composed, Literal as SQLLiteral +from typing import Any, AnyStr, Dict, List, Literal, Optional, Tuple, Type + +from dlt.common.typing import StrAny +from dlt.common.arithmetics import DEFAULT_NUMERIC_PRECISION, DEFAULT_NUMERIC_SCALE +from dlt.common.configuration import PostgresConfiguration +from dlt.common.dataset_writers import TWriterType, escape_redshift_identifier +from dlt.common.schema import COLUMN_HINTS, Column, ColumnBase, DataType, HintType, Schema, SchemaUpdate, Table + +from dlt.loaders.exceptions import (LoadClientSchemaWillNotUpdate, LoadClientTerminalInnerException, + LoadClientTransientInnerException, LoadFileTooBig) +from dlt.loaders.local_types import LoadJobStatus +from dlt.loaders.client_base import ClientBase, SqlClientBase, LoadJob + +SCT_TO_PGT: Dict[DataType, str] = { + "text": "varchar(max)", + "double": "double precision", + "bool": "boolean", + "timestamp": "timestamp with time zone", + "bigint": "bigint", + "binary": "varbinary", + "decimal": f"numeric({DEFAULT_NUMERIC_PRECISION},{DEFAULT_NUMERIC_SCALE})" +} + +PGT_TO_SCT: Dict[str, DataType] = { + "varchar(max)": "text", + "double precision": "double", + "boolean": "bool", + "timestamp with time zone": "timestamp", + "bigint": "bigint", + "binary varying": "binary", + "numeric": "decimal" +} + +HINT_TO_REDSHIFT_ATTR: Dict[HintType, str] = { + "cluster": "DISTKEY", + # it is better to not enforce constraints in redshift + # "primary_key": "PRIMARY KEY", + "sort": "SORTKEY" +} + + +class SqlClientMixin: + + MAX_STATEMENT_SIZE = 16 * 1024 * 1204 + + def __init__(self, CONFIG: Type[PostgresConfiguration], *args: Any, **kwargs: Any) -> None: + super().__init__(*args, **kwargs) + self._conn: psycopg2.connection = None + self.C = CONFIG + + def _open_connection(self) -> None: + self._conn = psycopg2.connect(dbname=self.C.PG_DATABASE_NAME, + user=self.C.PG_USER, + host=self.C.PG_HOST, + port=self.C.PG_PORT, + password=self.C.PG_PASSWORD, + connect_timeout=self.C.PG_CONNECTION_TIMEOUT + ) + # we'll provide explicit transactions + self._conn.set_session(autocommit=True) + + def _close_connection(self) -> None: + if self._conn: + self._conn.close() + self._conn = None + + def _execute_sql(self, query: AnyStr) -> Any: + curr: psycopg2.cursor + with self._conn.cursor() as curr: + try: + curr.execute(query) + except psycopg2.Error as outer: + try: + self._conn.rollback() + self._conn.reset() + except psycopg2.Error: + self._close_connection() + self._open_connection() + raise outer + if curr.description is None: + return None + else: + f = curr.fetchall() + return f + + +class RedshiftInsertLoadJob(SqlClientMixin, LoadJob): + def __init__(self, canonical_table_name: str, file_path: str, conn: Any, CONFIG: Type[PostgresConfiguration]) -> None: + super().__init__(CONFIG, ClientBase.get_file_name_from_file_path(file_path)) + self._conn = conn + # insert file content immediately + self._insert(canonical_table_name, file_path) + + def status(self) -> LoadJobStatus: + # this job is always done + return "completed" + + def file_name(self) -> str: + return self._file_name + + def exception(self) -> str: + # this part of code should be never reached + raise NotImplementedError() + + def _insert(self, canonical_table_name: str, file_path: str) -> None: + # TODO: implement tracking of jobs in storage, both completed and failed + # WARNING: maximum redshift statement is 16MB https://docs.aws.amazon.com/redshift/latest/dg/c_redshift-sql.html + # in case of postgres: 2GiB + if os.stat(file_path).st_size >= SqlClientMixin.MAX_STATEMENT_SIZE: + # terminal exception + raise LoadFileTooBig(file_path, SqlClientMixin.MAX_STATEMENT_SIZE) + with open(file_path, "r") as f: + header = f.readline() + content = f.read() + sql = Composed( + [SQL("BEGIN TRANSACTION;"), + SQL(header).format(SQL(canonical_table_name)), + SQL(content), + SQL("COMMIT TRANSACTION;")] + ) + self._execute_sql(sql) + + +class RedshiftClient(SqlClientMixin, SqlClientBase): + def __init__(self, schema: Schema, CONFIG: Type[PostgresConfiguration]) -> None: + super().__init__(CONFIG, schema) + + def initialize_storage(self) -> None: + schema_name = self._to_canonical_schema_name() + query = """ + SELECT 1 + FROM INFORMATION_SCHEMA.SCHEMATA + WHERE schema_name = {}; + """ + rows = self._execute_sql(SQL(query).format(SQLLiteral(schema_name))) + if len(rows) == 0: + self._execute_sql(SQL("CREATE SCHEMA {};").format(Identifier(schema_name))) + + def get_file_load(self, file_path: str) -> LoadJob: + # always returns completed jobs as RedshiftInsertLoadJob is executed + # atomically in start_file_load so any jobs that should be recreated are already completed + # in case of bugs in loader (asking for jobs that were never created) we are not able to detect that + return ClientBase.make_job_with_status(file_path, "completed") + + def start_file_load(self, table_name: str, file_path: str) -> LoadJob: + # verify that table exists in the schema + self._get_table_by_name(table_name, file_path) + try: + return RedshiftInsertLoadJob(self._to_canonical_table_name(table_name), file_path, self._conn, self.C) + except (psycopg2.OperationalError, psycopg2.InternalError) as tr_ex: + if tr_ex.pgerror is not None: + if "Cannot insert a NULL value into column" in tr_ex.pgerror: + # NULL violations is internal error, probably a redshift thing + raise LoadClientTerminalInnerException("Terminal error, file will not load", tr_ex) + if "Numeric data overflow" in tr_ex.pgerror: + raise LoadClientTerminalInnerException("Terminal error, file will not load", tr_ex) + if "Precision exceeds maximum": + raise LoadClientTerminalInnerException("Terminal error, file will not load", tr_ex) + raise LoadClientTransientInnerException("Error may go away, will retry", tr_ex) + except (psycopg2.DataError, psycopg2.ProgrammingError, psycopg2.IntegrityError) as ter_ex: + raise LoadClientTerminalInnerException("Terminal error, file will not load", ter_ex) + + def update_storage_schema(self) -> None: + storage_version = self._get_schema_version_from_storage() + if storage_version < self.schema.schema_version: + for sql in self._build_schema_update_sql(): + self._execute_sql(sql) + self._update_schema_version(self.schema.schema_version) + + def _get_schema_version_from_storage(self) -> int: + try: + return super()._get_schema_version_from_storage() + except psycopg2.ProgrammingError: + # there's no table so there's no schema + return 0 + + def _build_schema_update_sql(self) -> List[str]: + sql_updates = [] + for table_name in self.schema.schema_tables: + exists, storage_table = self._get_storage_table(table_name) + sql = self._get_table_update_sql(table_name, storage_table, exists) + if sql: + sql_updates.append(sql) + return sql_updates + + def _get_table_update_sql(self, table_name: str, storage_table: Table, exists: bool) -> str: + new_columns = self._create_table_update(table_name, storage_table) + if len(new_columns) == 0: + # no changes + return None + # build sql + canonical_name = self._to_canonical_table_name(table_name) + sql = "BEGIN TRANSACTION;\n" + if not exists: + # build CREATE + sql += f"CREATE TABLE {canonical_name} (\n" + sql += ",\n".join([self._get_column_def_sql(c) for c in new_columns]) + sql += ");" + else: + # build ALTER as separate statement for each column (redshift limitation) + sql += "\n".join([f"ALTER TABLE {canonical_name}\nADD COLUMN {self._get_column_def_sql(c)};" for c in new_columns]) + # scan columns to get hints + if exists: + # no hints may be specified on added columns + for hint in COLUMN_HINTS: + if any(c.get(hint, False) is True for c in new_columns): + hint_columns = [c["name"] for c in new_columns if c.get(hint, False)] + raise LoadClientSchemaWillNotUpdate(canonical_name, hint_columns, f"{hint} requested after table was created") + # TODO: add FK relations + sql += "\nCOMMIT TRANSACTION;" + return sql + + def _get_column_def_sql(self, c: Column) -> str: + hints_str = " ".join(HINT_TO_REDSHIFT_ATTR.get(h, "") for h in HINT_TO_REDSHIFT_ATTR.keys() if c.get(h, False) is True) + column_name = escape_redshift_identifier(c["name"]) + return f"{column_name} {self._sc_t_to_pq_t(c['data_type'])} {hints_str} {self._gen_not_null(c['nullable'])}" + + def _get_storage_table(self, table_name: str) -> Tuple[bool, Table]: + schema_table: Table = {} + query = f""" + SELECT column_name, data_type, is_nullable, numeric_precision, numeric_scale + FROM INFORMATION_SCHEMA.COLUMNS + WHERE table_schema = '{self._to_canonical_schema_name()}' AND table_name = '{table_name}' + ORDER BY ordinal_position; + """ + rows = self._execute_sql(query) + # if no rows we assume that table does not exist + if len(rows) == 0: + # TODO: additionally check if table exists + return False, schema_table + # TODO: pull more data to infer DISTKEY, PK and SORTKEY attributes/constraints + for c in rows: + schema_c: ColumnBase = { + "name": c[0], + "nullable": self._null_to_bool(c[2]), + "data_type": self._pq_t_to_sc_t(c[1], c[3], c[4]), + } + schema_table[c[0]] = Schema._add_missing_hints(schema_c) + return True, schema_table + + + def _to_canonical_schema_name(self) -> str: + return f"{self.C.PG_SCHEMA_PREFIX}_{self.schema.schema_name}" + + def _to_canonical_table_name(self, table_name: str) -> str: + return f"{self._to_canonical_schema_name()}.{table_name}" + + @staticmethod + def _null_to_bool(v: str) -> bool: + if v == "NO": + return False + elif v == "YES": + return True; + raise ValueError(v) + + @staticmethod + def _gen_not_null(v: bool) -> str: + return "NOT NULL" if not v else "" + + @staticmethod + def _sc_t_to_pq_t(sc_t: DataType) -> str: + if sc_t == "wei": + return f"numeric({DEFAULT_NUMERIC_PRECISION},0)" + return SCT_TO_PGT[sc_t] + + @staticmethod + def _pq_t_to_sc_t(pq_t: str, precision: Optional[int], scale: Optional[int]) -> DataType: + if pq_t == "numeric": + if precision == DEFAULT_NUMERIC_PRECISION and scale == 0: + return "wei" + return PGT_TO_SCT.get(pq_t, "text") + + +def make_client(schema: Schema, C: Type[PostgresConfiguration]) -> RedshiftClient: + return RedshiftClient(schema, C) + + +def supported_writer(C: Type[PostgresConfiguration]) -> TWriterType: + return "insert_values" diff --git a/dlt/pipeline/__init__.py b/dlt/pipeline/__init__.py index a5d30efda7..2d6efe3234 100644 --- a/dlt/pipeline/__init__.py +++ b/dlt/pipeline/__init__.py @@ -5,21 +5,21 @@ from typing import Callable, Dict, Iterator, List, Literal, Sequence, Tuple from prometheus_client import REGISTRY -from autopoiesis.common import json, runners -from autopoiesis.common.configuration import BasicConfiguration, make_configuration -from autopoiesis.common.configuration.utils import TConfigSecret -from autopoiesis.common.file_storage import FileStorage -from autopoiesis.common.logger import process_internal_exception -from autopoiesis.common.runners import TRunArgs, TRunMetrics -from autopoiesis.common.schema import Schema, StoredSchema -from autopoiesis.common.typing import DictStrAny, StrAny -from autopoiesis.common.utils import uniq_id, is_interactive - -from autopoiesis.extractors.extractor_storage import ExtractorStorageBase -from autopoiesis.unpacker.configuration import configuration as unpacker_configuration -from autopoiesis.loaders.configuration import configuration as loader_configuration -from autopoiesis.unpacker import unpacker -from autopoiesis.loaders import loader +from dlt.common import json, runners +from dlt.common.configuration import BasicConfiguration, make_configuration +from dlt.common.configuration.utils import TConfigSecret +from dlt.common.file_storage import FileStorage +from dlt.common.logger import process_internal_exception +from dlt.common.runners import TRunArgs, TRunMetrics +from dlt.common.schema import Schema, StoredSchema +from dlt.common.typing import DictStrAny, StrAny +from dlt.common.utils import uniq_id, is_interactive + +from dlt.extractors.extractor_storage import ExtractorStorageBase +from dlt.unpacker.configuration import configuration as unpacker_configuration +from dlt.loaders.configuration import configuration as loader_configuration +from dlt.unpacker import unpacker +from dlt.loaders import loader TClientType = Literal["gcp", "redshift"] diff --git a/dlt/py.typed b/dlt/py.typed new file mode 100644 index 0000000000..e69de29bb2 diff --git a/dlt/unpacker/__init__.py b/dlt/unpacker/__init__.py new file mode 100644 index 0000000000..45bfb6abb0 --- /dev/null +++ b/dlt/unpacker/__init__.py @@ -0,0 +1 @@ +from dlt._version import unpacker_version as __version__ \ No newline at end of file diff --git a/dlt/unpacker/configuration.py b/dlt/unpacker/configuration.py new file mode 100644 index 0000000000..61825c3d57 --- /dev/null +++ b/dlt/unpacker/configuration.py @@ -0,0 +1,29 @@ +from typing import Type + +from dlt.common.typing import StrAny +from dlt.common.configuration.pool_runner_configuration import TPoolType +from dlt.common.dataset_writers import TWriterType + +from dlt.common.configuration import (PoolRunnerConfiguration, UnpackingVolumeConfiguration, + LoadingVolumeConfiguration, SchemaVolumeConfiguration, + ProductionLoadingVolumeConfiguration, ProductionUnpackingVolumeConfiguration, + ProductionSchemaVolumeConfiguration, + TPoolType, make_configuration) + +from . import __version__ + + +class UnpackerConfiguration(PoolRunnerConfiguration, UnpackingVolumeConfiguration, LoadingVolumeConfiguration, SchemaVolumeConfiguration): + MAX_EVENTS_IN_CHUNK: int = 40000 # maximum events to be processed in single chunk + WRITER_TYPE: TWriterType = "jsonl" # jsonp or insert commands will be generated + ADD_EVENT_JSON: bool = True # add event json to "event" table, useful for debugging or recreating tracker + POOL_TYPE: TPoolType = "process" + + +class ProductionUnpackerConfiguration(ProductionUnpackingVolumeConfiguration, ProductionLoadingVolumeConfiguration, + ProductionSchemaVolumeConfiguration, UnpackerConfiguration): + pass + + +def configuration(initial_values: StrAny = None) -> Type[UnpackerConfiguration]: + return make_configuration(UnpackerConfiguration, ProductionUnpackerConfiguration, initial_values=initial_values) diff --git a/dlt/unpacker/exceptions.py b/dlt/unpacker/exceptions.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/dlt/unpacker/unpacker.py b/dlt/unpacker/unpacker.py new file mode 100644 index 0000000000..44ba644b55 --- /dev/null +++ b/dlt/unpacker/unpacker.py @@ -0,0 +1,249 @@ +from typing import Any, Callable, Type, List, Dict, Optional, Sequence, Tuple +from multiprocessing.pool import Pool as ProcessPool +from itertools import chain +from prometheus_client import Counter, CollectorRegistry, REGISTRY, Gauge +from prometheus_client.metrics import MetricWrapperBase + +from dlt.common import pendulum, signals, json, logger +from dlt.common.runners import TRunArgs, TRunMetrics, create_default_args, pool_runner, initialize_runner +from dlt.common.storages.unpacker_storage import UnpackerStorage +from dlt.common.telemetry import get_logging_extras +from dlt.common.utils import uniq_id +from dlt.common.typing import TEvent +from dlt.common.logger import process_internal_exception +from dlt.common.exceptions import PoolException +from dlt.common.storages import SchemaStorage +from dlt.common.schema import CannotCoerceColumnException, SchemaUpdate, Schema +from dlt.common.parser import PATH_SEPARATOR +from dlt.common.storages.loader_storage import LoaderStorage + +from dlt.common.parser import extract, TExtractFunc +from dlt.unpacker.configuration import configuration, UnpackerConfiguration + +extract_func: TExtractFunc = extract +CONFIG: Type[UnpackerConfiguration] = None +unpack_storage: UnpackerStorage = None +load_storage: LoaderStorage = None +schema_storage: SchemaStorage = None +load_schema_storage: SchemaStorage = None +event_counter: Counter = None +event_gauge: Gauge = None +schema_version_gauge: Gauge = None +load_package_counter: Counter = None + + +def create_gauges(registry: CollectorRegistry) -> Tuple[MetricWrapperBase, MetricWrapperBase, MetricWrapperBase, MetricWrapperBase]: + return ( + Counter("unpacker_event_count", "Events processed in unpacker", ["schema"], registry=registry), + Gauge("unpacker_last_events", "Number of events processed in last run", ["schema"], registry=registry), + Gauge("unpacker_schema_version", "Current schema version", ["schema"], registry=registry), + Gauge("unpacker_load_packages_created_count", "Count of load package created", ["schema"], registry=registry) + ) + + +def create_folders() -> Tuple[UnpackerStorage, LoaderStorage, SchemaStorage, SchemaStorage]: + unpack_storage = UnpackerStorage(True, CONFIG) + schema_storage = SchemaStorage(CONFIG.SCHEMA_VOLUME_PATH, makedirs=True) + load_schema_storage = SchemaStorage(CONFIG.LOADING_VOLUME_PATH, makedirs=False) + load_storage = LoaderStorage(True, CONFIG, CONFIG.WRITER_TYPE) + + unpack_storage.initialize_storage() + load_storage.initialize_storage() + + return unpack_storage, load_storage, schema_storage, load_schema_storage + + +def install_schemas(default_schemas_path: str, schema_names: List[str]) -> None: + # copy default schemas if not present + default_schemas = SchemaStorage(default_schemas_path) + logger.info(f"Checking default schemas in {schema_storage.storage.storage_path}") + for name in schema_names: + if not schema_storage.has_store_schema(name): + logger.info(f"Schema, {name} not present in {schema_storage.storage.storage_path}, installing...") + schema = default_schemas.load_store_schema(name) + schema_storage.save_store_schema(schema) + + +def load_or_create_schema(schema_name: str) -> Schema: + try: + schema = schema_storage.load_store_schema(schema_name) + logger.info(f"Loaded schema with name {schema_name} with version {schema.schema_version}") + except FileNotFoundError: + schema = Schema(schema_name) + logger.info(f"Created new schema with name {schema_name}") + return schema + + +# this is a worker process +def w_unpack_files(schema_name: str, load_id: str, events_files: Sequence[str]) -> SchemaUpdate: + unpacked_data: Dict[str, List[Any]] = {} + + schema_update: SchemaUpdate = {} + schema = load_or_create_schema(schema_name) + file_id = uniq_id() + + # process all event files and store rows in memory + for events_file in events_files: + try: + logger.debug(f"Processing events file {events_file}") + with unpack_storage.storage.open(events_file) as f: + events: Sequence[TEvent] = json.load(f) + for event in events: + for table_name, row in extract_func(schema, event, load_id, CONFIG.ADD_EVENT_JSON): + # filter row, may eliminate some or all fields + row = schema.filter_row(table_name, row, PATH_SEPARATOR) + # do not process empty rows + if row: + # check if schema can be updated + row, table_update = schema.coerce_row(table_name, row) + if len(table_update) > 0: + # update schema and save the change + schema.update_schema(table_name, table_update) + table_updates = schema_update.setdefault(table_name, []) + table_updates.extend(table_update) + # store row + rows = unpacked_data.setdefault(table_name, []) + rows.append(row) + except Exception: + process_internal_exception(f"Exception when processing file {events_file}") + raise PoolException("unpack_files", events_file) + + # save rows and return schema changes to be gathered in parent process + for table_name, rows in unpacked_data.items(): + # save into new jobs to processed as load + table = schema.get_table(table_name) + load_storage.write_temp_loading_file(load_id, table_name, table, file_id, rows) + + return schema_update + + +TMapFuncRV = Tuple[List[SchemaUpdate], List[Sequence[str]]] +TMapFuncType = Callable[[ProcessPool, str, str, Sequence[str]], TMapFuncRV] + +def map_parallel(pool: ProcessPool, schema_name: str, load_id: str, files: Sequence[str]) -> TMapFuncRV: + # we chunk files in a way to not exceed MAX_EVENTS_IN_CHUNK and split them equally + # between processors + configured_processes = pool._processes # type: ignore + chunk_files = UnpackerStorage.chunk_by_events(files, CONFIG.MAX_EVENTS_IN_CHUNK, configured_processes) + logger.info(f"Obtained {len(chunk_files)} processing chunks") + param_chunk = [(schema_name, load_id, files) for files in chunk_files] + return pool.starmap(w_unpack_files, param_chunk), chunk_files + + +def map_single(_: ProcessPool, schema_name: str, load_id: str, files: Sequence[str]) -> TMapFuncRV: + chunk_files = UnpackerStorage.chunk_by_events(files, CONFIG.MAX_EVENTS_IN_CHUNK, 1) + # get in one chunk + assert len(chunk_files) == 1 + logger.info(f"Obtained {len(chunk_files)} processing chunks") + return [w_unpack_files(schema_name, load_id, chunk_files[0])], chunk_files + + +def update_schema(schema_name: str, schema_updates: List[SchemaUpdate]) -> Schema: + schema = load_or_create_schema(schema_name) + # gather schema from all manifests, validate consistency and combine + for schema_update in schema_updates: + for table_name, table_updates in schema_update.items(): + logger.debug(f"Updating schema for table {table_name} with {len(table_updates)} deltas") + schema.update_schema(table_name, table_updates) + return schema + + +def spool_files(pool: ProcessPool, schema_name: str, load_id: str, map_f: TMapFuncType, files: Sequence[str]) -> None: + # process files in parallel or in single thread, depending on map_f + schema_updates, chunk_files = map_f(pool, schema_name, load_id, files) + + schema = update_schema(schema_name, schema_updates) + schema_version_gauge.labels(schema_name).set(schema._version) + logger.metrics("Unpacker metrics", extra=get_logging_extras([schema_version_gauge.labels(schema_name)])) + logger.info(f"Saving schema {schema_name} with version {schema._version}, writing manifest files") + # schema is updated, save it to schema volume + schema_storage.save_store_schema(schema) + # save schema and schema updates to temp load folder + load_schema_storage.save_folder_schema(schema, load_id) + load_storage.save_schema_updates(load_id, schema_updates) + # files must be renamed and deleted together so do not attempt that when process is about to be terminated + signals.raise_if_signalled() + logger.info(f"Committing storage, do not kill this process") + # rename temp folder to processing + load_storage.commit_temp_load_folder(load_id) + # delete event files and count events to provide metrics + total_events = 0 + for event_file in chain.from_iterable(chunk_files): # flatten chunks + unpack_storage.storage.delete(event_file) + total_events += UnpackerStorage.get_events_count(event_file) + # log and update metrics + logger.info(f"Chunk {load_id} processed") + load_package_counter.labels(schema_name).inc() + event_counter.labels(schema_name).inc(total_events) + event_gauge.labels(schema_name).set(total_events) + logger.metrics("Unpacker metrics", extra=get_logging_extras( + [load_package_counter.labels(schema_name), event_counter.labels(schema_name), event_gauge.labels(schema_name)])) + + +def spool_schema_files(pool: ProcessPool, schema_name: str, files: Sequence[str]) -> str: + # unpacked files will go here before being atomically renamed + load_id = str(pendulum.now().timestamp()) + load_storage.create_temp_load_folder(load_id) + logger.info(f"Created temp load folder {load_id} on loading volume") + + try: + # process parallel + spool_files(pool, schema_name, load_id, map_parallel, files) + except CannotCoerceColumnException as exc: + # schema conflicts resulting from parallel executing + logger.warning(f"Parallel schema update conflict, switching to single thread ({str(exc)}") + # start from scratch + load_storage.create_temp_load_folder(load_id) + spool_files(pool, schema_name, load_id, map_single, files) + + return load_id + + +def run(pool: ProcessPool) -> TRunMetrics: + logger.info(f"Running file unpacking") + # list files and group by schema name, list must be sorted for group by to actually work + files = unpack_storage.list_files_to_unpack_sorted() + logger.info(f"Found {len(files)} files, will process in chunks of {CONFIG.MAX_EVENTS_IN_CHUNK} of events") + if len(files) == 0: + return TRunMetrics(True, False, 0) + # group files by schema + for schema_name, files_in_schema in unpack_storage.get_grouped_iterator(files): + logger.info(f"Found files in schema {schema_name}") + spool_schema_files(pool, schema_name, list(files_in_schema)) + # return info on still pending files (if extractor saved something in the meantime) + return TRunMetrics(False, False, len(unpack_storage.list_files_to_unpack_sorted())) + + +def configure(C: Type[UnpackerConfiguration], collector: CollectorRegistry, extract_f: TExtractFunc, default_schemas_path: str = None, schema_names: List[str] = None) -> bool: + global CONFIG + global unpack_storage, load_storage, schema_storage, load_schema_storage + global event_counter, event_gauge, schema_version_gauge, load_package_counter + global extract_func + + CONFIG = C + # set extracting parser function + extract_func = extract_f + try: + unpack_storage, load_storage, schema_storage, load_schema_storage = create_folders() + event_counter, event_gauge, schema_version_gauge, load_package_counter = create_gauges(collector) + if default_schemas_path and schema_names: + install_schemas(default_schemas_path, schema_names) + return True + except Exception: + process_internal_exception("init module") + return False + + +def main(extract_f: TExtractFunc, default_schemas_path: str = None, schema_names: List[str] = None) -> None: + # initialize runner + C = configuration() + parser = create_default_args(C) + args = parser.parse_args() + initialize_runner(C, TRunArgs(args.single_run, args.wait_runs)) + if not configure(C, REGISTRY, extract_f, default_schemas_path, schema_names): + exit(-1) + # run + exit(pool_runner(C, run)) + +if __name__ == '__main__': + main(extract) diff --git a/examples/demo_example.py b/examples/demo_example.py index 0d6aed97d8..7cf468d4a4 100644 --- a/examples/demo_example.py +++ b/examples/demo_example.py @@ -7,9 +7,9 @@ from typing import Sequence -from autopoiesis.common.typing import StrAny -from autopoiesis.common import json -from autopoiesis.common.schema import Schema +from dlt.common.typing import StrAny +from dlt.common import json +from dlt.common.schema import Schema from dlt.pipeline import Pipeline # the load schema will be named {pipeline_mame}_{source_name} diff --git a/examples/discord_iterator.py b/examples/discord_iterator.py index 44d0e3a77f..89b6ee1db9 100644 --- a/examples/discord_iterator.py +++ b/examples/discord_iterator.py @@ -1,6 +1,6 @@ -from autopoiesis.common import json -from autopoiesis.common.schema import Schema -from autopoiesis.common.typing import DictStrAny, StrAny +from dlt.common import json +from dlt.common.schema import Schema +from dlt.common.typing import DictStrAny, StrAny from dlt.pipeline import Pipeline, PostgresPipelineCredentials @@ -17,7 +17,6 @@ # credentials = Pipeline.load_gcp_credentials("_secrets/project1234_service.json", "gamma_guild") import multiprocessing -multiprocessing.set_start_method("spawn", force=True) if __name__ == '__main__': # working redshift creds, you can pass password as last parameter or via PG_PASSWORD env variable ie. @@ -70,7 +69,7 @@ def processor(m: DictStrAny) -> StrAny: # from now on each pipeline does more or less the same thing: unpack and load data # now create loading packages and infer the schema - m = pipeline.unpack(workers=2) + m = pipeline.unpack() if m.has_failed: print("Unpacking failed") print(pipeline.last_run_exception) diff --git a/examples/ethereum_generator.py b/examples/ethereum_generator.py index 94395e54c8..620150c487 100644 --- a/examples/ethereum_generator.py +++ b/examples/ethereum_generator.py @@ -2,10 +2,11 @@ from typing import Iterator, Sequence, cast from web3 import Web3, HTTPProvider -from autopoiesis.common import Decimal -from autopoiesis.common.arithmetics import numeric_default_context, numeric_default_quantize -from autopoiesis.common.schema import Schema -from autopoiesis.common.typing import DictStrAny, StrAny +from dlt.common import json +from dlt.common import Decimal +from dlt.common.arithmetics import numeric_default_context, numeric_default_quantize +from dlt.common.schema import Schema +from dlt.common.typing import DictStrAny, StrAny from dlt.pipeline import Pipeline, TExtractorItemWithTable, TExtractorItem @@ -117,6 +118,10 @@ def _get() -> Iterator[StrAny]: # in case of ethereum data the fundamental problem is 2^256 integer size which does not fit in any BIGINT # type. that is fixed in schema loaded below schema = Pipeline.load_schema_from_file("examples/schemas/ethereum_schema.yml") +# jschema = schema.to_dict() +# with open("examples/schemas/ethereum_schema.json", "w") as f: +# json.dump(jschema, f) +# exit(-1) pipeline.create_pipeline(credentials, schema=schema) print(pipeline.root_path) @@ -124,13 +129,12 @@ def _get() -> Iterator[StrAny]: if m.has_failed: print("Extracting failed") print(pipeline.last_run_exception) - exit(0) +exit(0) m = pipeline.unpack() if m.has_failed: print("Unpacking failed") print(pipeline.last_run_exception) - exit(0) # get inferred schema schema = pipeline.get_current_schema() diff --git a/examples/google_drive_csv.py b/examples/google_drive_csv.py index f977bbbfef..9ccfbb81e7 100644 --- a/examples/google_drive_csv.py +++ b/examples/google_drive_csv.py @@ -5,8 +5,8 @@ from typing import Any, Iterator import csv -from autopoiesis.common.typing import StrAny -from autopoiesis.common.schema import Schema +from dlt.common.typing import StrAny +from dlt.common.schema import Schema from dlt.pipeline import Pipeline SCOPES = ['https://www.googleapis.com/auth/drive'] @@ -15,19 +15,19 @@ KEY_FILE_LOCATION = '_secrets/project1234_service.json' -def _initialize_drive() -> Any: - """Initializes an drive service object. +# def _initialize_drive() -> Any: +# """Initializes an drive service object. - Returns: - An authorized drive service object. - """ - credentials = ServiceAccountCredentials.from_json_keyfile_name( - KEY_FILE_LOCATION, SCOPES) +# Returns: +# An authorized drive service object. +# """ +# credentials = ServiceAccountCredentials.from_json_keyfile_name( +# KEY_FILE_LOCATION, SCOPES) - # Build the service object. - service = build('drive', 'v3', credentials=credentials) +# # Build the service object. +# service = build('drive', 'v3', credentials=credentials) - return service +# return service def _initialize_sheets() -> Any: @@ -41,20 +41,20 @@ def _initialize_sheets() -> Any: return service -def download_csv_as_json(file_id: str, csv_options: StrAny = None) -> Iterator[StrAny]: - if csv_options is None: - csv_options = {} - - drive_service = _initialize_drive() - request = drive_service.files().get_media(fileId=file_id) - fh = io.BytesIO() - downloader = MediaIoBaseDownload(fh, request) - done = False - while done is False: - status, done = downloader.next_chunk() - print("Download %d%%." % int(status.progress() * 100)) - rows = fh.getvalue().decode("utf-8") - return csv.DictReader(io.StringIO(rows), **csv_options) +# def download_csv_as_json(file_id: str, csv_options: StrAny = None) -> Iterator[StrAny]: +# if csv_options is None: +# csv_options = {} + +# drive_service = _initialize_drive() +# request = drive_service.files().get_media(fileId=file_id) +# fh = io.BytesIO() +# downloader = MediaIoBaseDownload(fh, request) +# done = False +# while done is False: +# status, done = downloader.next_chunk() +# print("Download %d%%." % int(status.progress() * 100)) +# rows = fh.getvalue().decode("utf-8") +# return csv.DictReader(io.StringIO(rows), **csv_options) def download_sheet_to_csv(spreadsheet_id: str, sheet_name: str) -> Iterator[StrAny]: diff --git a/examples/schemas/ethereum_schema.json b/examples/schemas/ethereum_schema.json new file mode 100644 index 0000000000..e182c567a6 --- /dev/null +++ b/examples/schemas/ethereum_schema.json @@ -0,0 +1,911 @@ +{ + "tables": { + "_loads": { + "inserted_at": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "timestamp", + "name": "inserted_at", + "nullable": false + }, + "load_id": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "load_id", + "nullable": false + }, + "status": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "bigint", + "name": "status", + "nullable": false + } + }, + "_version": { + "engine_version": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "bigint", + "name": "engine_version", + "nullable": false + }, + "inserted_at": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "timestamp", + "name": "inserted_at", + "nullable": false + }, + "version": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "bigint", + "name": "version", + "nullable": false + } + }, + "blocks": { + "_load_id": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "_load_id", + "nullable": false + }, + "_record_hash": { + "partition": false, + "cluster": false, + "unique": true, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "_record_hash", + "nullable": false + }, + "number": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": true, + "foreign_key": false, + "data_type": "bigint", + "name": "number", + "nullable": false + }, + "parent_hash": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "parent_hash", + "nullable": true + }, + "hash": { + "partition": false, + "cluster": true, + "unique": true, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "hash", + "nullable": false + }, + "base_fee_per_gas": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "wei", + "name": "base_fee_per_gas", + "nullable": false + }, + "difficulty": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "wei", + "name": "difficulty", + "nullable": false + }, + "extra_data": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "extra_data", + "nullable": true + }, + "gas_limit": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "bigint", + "name": "gas_limit", + "nullable": false + }, + "gas_used": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "bigint", + "name": "gas_used", + "nullable": false + }, + "logs_bloom": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "logs_bloom", + "nullable": true + }, + "miner": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "miner", + "nullable": true + }, + "mix_hash": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "mix_hash", + "nullable": true + }, + "nonce": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "nonce", + "nullable": true + }, + "receipts_root": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "receipts_root", + "nullable": true + }, + "sha3_uncles": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "sha3_uncles", + "nullable": true + }, + "size": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "bigint", + "name": "size", + "nullable": true + }, + "state_root": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "state_root", + "nullable": false + }, + "timestamp": { + "partition": false, + "cluster": false, + "unique": true, + "sort": true, + "primary_key": false, + "foreign_key": false, + "data_type": "timestamp", + "name": "timestamp", + "nullable": false + }, + "total_difficulty": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "wei", + "name": "total_difficulty", + "nullable": true + }, + "transactions_root": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "transactions_root", + "nullable": false + } + }, + "blocks__transactions": { + "_record_hash": { + "partition": false, + "cluster": false, + "unique": true, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "_record_hash", + "nullable": false + }, + "block_number": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": true, + "foreign_key": false, + "data_type": "bigint", + "name": "block_number", + "nullable": false + }, + "transaction_index": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": true, + "foreign_key": false, + "data_type": "bigint", + "name": "transaction_index", + "nullable": false + }, + "hash": { + "partition": false, + "cluster": false, + "unique": true, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "hash", + "nullable": false + }, + "block_hash": { + "partition": false, + "cluster": true, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "block_hash", + "nullable": false + }, + "block_timestamp": { + "partition": false, + "cluster": false, + "unique": false, + "sort": true, + "primary_key": false, + "foreign_key": false, + "data_type": "timestamp", + "name": "block_timestamp", + "nullable": false + }, + "chain_id": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "chain_id", + "nullable": true + }, + "from": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "from", + "nullable": true + }, + "gas": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "bigint", + "name": "gas", + "nullable": true + }, + "gas_price": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "bigint", + "name": "gas_price", + "nullable": true + }, + "input": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "input", + "nullable": true + }, + "max_fee_per_gas": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "wei", + "name": "max_fee_per_gas", + "nullable": true + }, + "max_priority_fee_per_gas": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "wei", + "name": "max_priority_fee_per_gas", + "nullable": true + }, + "nonce": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "bigint", + "name": "nonce", + "nullable": true + }, + "r": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "r", + "nullable": true + }, + "s": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "s", + "nullable": true + }, + "status": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "bigint", + "name": "status", + "nullable": true + }, + "to": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "to", + "nullable": true + }, + "type": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "type", + "nullable": true + }, + "v": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "bigint", + "name": "v", + "nullable": true + }, + "value": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "wei", + "name": "value", + "nullable": false + }, + "eth_value": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "decimal", + "name": "eth_value", + "nullable": true + } + }, + "blocks__transactions__logs": { + "_record_hash": { + "partition": false, + "cluster": false, + "unique": true, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "_record_hash", + "nullable": false + }, + "address": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "address", + "nullable": false + }, + "block_timestamp": { + "partition": false, + "cluster": false, + "unique": false, + "sort": true, + "primary_key": false, + "foreign_key": false, + "data_type": "timestamp", + "name": "block_timestamp", + "nullable": false + }, + "block_hash": { + "partition": false, + "cluster": true, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "block_hash", + "nullable": false + }, + "block_number": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": true, + "foreign_key": false, + "data_type": "bigint", + "name": "block_number", + "nullable": false + }, + "transaction_index": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": true, + "foreign_key": false, + "data_type": "bigint", + "name": "transaction_index", + "nullable": false + }, + "log_index": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": true, + "foreign_key": false, + "data_type": "bigint", + "name": "log_index", + "nullable": false + }, + "data": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "data", + "nullable": true + }, + "removed": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "bool", + "name": "removed", + "nullable": true + }, + "transaction_hash": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "transaction_hash", + "nullable": false + } + }, + "blocks__transactions__logs__topics": { + "_parent_hash": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": true, + "data_type": "text", + "name": "_parent_hash", + "nullable": false + }, + "_pos": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "bigint", + "name": "_pos", + "nullable": false + }, + "_record_hash": { + "partition": false, + "cluster": false, + "unique": true, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "_record_hash", + "nullable": false + }, + "_root_hash": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "_root_hash", + "nullable": false + }, + "value": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "value", + "nullable": true + } + }, + "blocks__transactions__access_list": { + "_parent_hash": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": true, + "data_type": "text", + "name": "_parent_hash", + "nullable": false + }, + "_pos": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "bigint", + "name": "_pos", + "nullable": false + }, + "_record_hash": { + "partition": false, + "cluster": false, + "unique": true, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "_record_hash", + "nullable": false + }, + "_root_hash": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "_root_hash", + "nullable": false + }, + "address": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "address", + "nullable": true + } + }, + "blocks__transactions__access_list__storage_keys": { + "_parent_hash": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": true, + "data_type": "text", + "name": "_parent_hash", + "nullable": false + }, + "_pos": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "bigint", + "name": "_pos", + "nullable": false + }, + "_record_hash": { + "partition": false, + "cluster": false, + "unique": true, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "_record_hash", + "nullable": false + }, + "_root_hash": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "_root_hash", + "nullable": false + }, + "value": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "value", + "nullable": true + } + }, + "blocks__uncles": { + "_parent_hash": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": true, + "data_type": "text", + "name": "_parent_hash", + "nullable": false + }, + "_pos": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "bigint", + "name": "_pos", + "nullable": false + }, + "_record_hash": { + "partition": false, + "cluster": false, + "unique": true, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "_record_hash", + "nullable": false + }, + "_root_hash": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "_root_hash", + "nullable": false + }, + "value": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "value", + "nullable": true + } + } + }, + "name": "ethereum", + "version": 8, + "preferred_types": {}, + "hints": { + "foreign_key": [ + "^_parent_hash$" + ], + "not_null": [ + "^_record_hash$", + "^_root_hash$", + "^_parent_hash$", + "^_pos$" + ], + "unique": [ + "^_record_hash$" + ] + }, + "excludes": [], + "includes": [], + "engine_version": 2 +} \ No newline at end of file diff --git a/examples/schemas/inferred_drive_csv_11G95oVZjieRhyGqtQMQqlqpxyvWkRXowKE8CtdLtFaU_schema.yml b/examples/schemas/inferred_drive_csv_11G95oVZjieRhyGqtQMQqlqpxyvWkRXowKE8CtdLtFaU_schema.yml new file mode 100644 index 0000000000..6e2a9b0faf --- /dev/null +++ b/examples/schemas/inferred_drive_csv_11G95oVZjieRhyGqtQMQqlqpxyvWkRXowKE8CtdLtFaU_schema.yml @@ -0,0 +1,936 @@ +tables: + _version: + version: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: false + engine_version: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: false + inserted_at: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: timestamp + nullable: false + _loads: + load_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: false + status: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: false + inserted_at: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: timestamp + nullable: false + model_annotations: + sender_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: true + message_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: true + annotation: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: true + confidence: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: double + nullable: true + count: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: true + added_at: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: true + reviewed: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bool + nullable: true + _load_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: false + _record_hash: + partition: false + cluster: false + unique: true + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: false +name: csv +version: 2 +preferred_types: {} +hints: + not_null: + - ^_record_hash$ + - ^_root_hash$ + - ^_parent_hash$ + - ^_pos$ + - _load_id + foreign_key: + - ^_parent_hash$ + unique: + - ^_record_hash$ +excludes: [] +includes: [] +engine_version: 2 +tables: + _version: + version: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: false + engine_version: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: false + inserted_at: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: timestamp + nullable: false + _loads: + load_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: false + status: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: false + inserted_at: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: timestamp + nullable: false + model_annotations: + sender_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: true + message_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: true + annotation: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: true + confidence: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: double + nullable: true + count: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: true + added_at: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: true + reviewed: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bool + nullable: true + _load_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: false + _record_hash: + partition: false + cluster: false + unique: true + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: false +name: csv +version: 2 +preferred_types: {} +hints: + not_null: + - ^_record_hash$ + - ^_root_hash$ + - ^_parent_hash$ + - ^_pos$ + - _load_id + foreign_key: + - ^_parent_hash$ + unique: + - ^_record_hash$ +excludes: [] +includes: [] +engine_version: 2 +tables: + _version: + version: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: false + engine_version: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: false + inserted_at: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: timestamp + nullable: false + _loads: + load_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: false + status: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: false + inserted_at: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: timestamp + nullable: false + model_annotations: + sender_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: true + message_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: true + annotation: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: true + confidence: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: double + nullable: true + count: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: true + added_at: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: true + reviewed: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bool + nullable: true + _load_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: false + _record_hash: + partition: false + cluster: false + unique: true + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: false +name: csv +version: 2 +preferred_types: {} +hints: + not_null: + - ^_record_hash$ + - ^_root_hash$ + - ^_parent_hash$ + - ^_pos$ + - _load_id + foreign_key: + - ^_parent_hash$ + unique: + - ^_record_hash$ +excludes: [] +includes: [] +engine_version: 2 +tables: + _version: + version: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: false + engine_version: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: false + inserted_at: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: timestamp + nullable: false + _loads: + load_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: false + status: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: false + inserted_at: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: timestamp + nullable: false + model_annotations: + sender_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: true + message_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: true + annotation: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: true + confidence: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: double + nullable: true + count: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: true + added_at: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: true + reviewed: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bool + nullable: true + _load_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: false + _record_hash: + partition: false + cluster: false + unique: true + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: false +name: csv +version: 2 +preferred_types: {} +hints: + not_null: + - ^_record_hash$ + - ^_root_hash$ + - ^_parent_hash$ + - ^_pos$ + - _load_id + foreign_key: + - ^_parent_hash$ + unique: + - ^_record_hash$ +excludes: [] +includes: [] +engine_version: 2 +tables: + _version: + version: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: false + engine_version: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: false + inserted_at: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: timestamp + nullable: false + _loads: + load_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: false + status: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: false + inserted_at: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: timestamp + nullable: false + model_annotations: + sender_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: true + message_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: true + annotation: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: true + confidence: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: double + nullable: true + count: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: true + added_at: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: true + reviewed: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bool + nullable: true + _load_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: false + _record_hash: + partition: false + cluster: false + unique: true + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: false +name: csv +version: 2 +preferred_types: {} +hints: + not_null: + - ^_record_hash$ + - ^_root_hash$ + - ^_parent_hash$ + - ^_pos$ + - _load_id + foreign_key: + - ^_parent_hash$ + unique: + - ^_record_hash$ +excludes: [] +includes: [] +engine_version: 2 +tables: + _version: + version: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: false + engine_version: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: false + inserted_at: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: timestamp + nullable: false + _loads: + load_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: false + status: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: false + inserted_at: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: timestamp + nullable: false + model_annotations: + sender_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: true + message_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: true + annotation: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: true + confidence: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: double + nullable: true + count: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bigint + nullable: true + added_at: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: true + reviewed: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: bool + nullable: true + _load_id: + partition: false + cluster: false + unique: false + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: false + _record_hash: + partition: false + cluster: false + unique: true + sort: false + primary_key: false + foreign_key: false + data_type: text + nullable: false +name: csv +version: 2 +preferred_types: {} +hints: + not_null: + - ^_record_hash$ + - ^_root_hash$ + - ^_parent_hash$ + - ^_pos$ + - _load_id + foreign_key: + - ^_parent_hash$ + unique: + - ^_record_hash$ +excludes: [] +includes: [] +engine_version: 2 diff --git a/poetry.lock b/poetry.lock index 4bee35c511..d377064e08 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,3 +1,24 @@ +[[package]] +name = "agate" +version = "1.6.3" +description = "A data analysis library that is optimized for humans instead of machines." +category = "main" +optional = true +python-versions = "*" + +[package.dependencies] +Babel = ">=2.0" +isodate = ">=0.5.4" +leather = ">=0.3.2" +parsedatetime = ">=2.1,<2.5 || >2.5,<2.6 || >2.6" +python-slugify = ">=1.2.1" +pytimeparse = ">=1.1.5" +six = ">=1.9.0" + +[package.extras] +docs = ["Sphinx (>=1.2.2)", "sphinx-rtd-theme (>=0.1.6)"] +test = ["coverage (>=3.7.1)", "cssselect (>=0.9.1)", "lxml (>=3.6.0)", "nose (>=1.1.2)", "pytz (>=2015.4)", "mock (>=1.3.0)", "unittest2 (>=1.1.0)", "PyICU (>=2.4.2)"] + [[package]] name = "atomicwrites" version = "1.4.0" @@ -10,7 +31,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" name = "attrs" version = "21.4.0" description = "Classes Without Boilerplate" -category = "dev" +category = "main" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" @@ -21,55 +42,70 @@ tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)" tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "cloudpickle"] [[package]] -name = "autopoiesis" -version = "0.0.1" -description = "Data analytics pipeline for conversational data" +name = "babel" +version = "2.10.1" +description = "Internationalization utilities" category = "main" -optional = false -python-versions = ">=3.8,<3.11" -develop = false +optional = true +python-versions = ">=3.6" [package.dependencies] -google-analytics-admin = "^0.7.2" -google-cloud-bigquery = "^2.26.0" -grpcio = "1.43.0" -hexbytes = "^0.2.2" -json-logging = "1.4.1rc0" -jsonlines = "^2.0.0" -pendulum = "^2.1.2" -prometheus-client = "^0.11.0" -psycopg2 = "^2.9.1" -PyYAML = "^5.4.1" -requests = "2.26.0" -semver = "^2.13.0" -sentry-sdk = "^1.4.3" -simplejson = "^3.17.5" - -[package.extras] -dbt = ["dbt-core[dbt] (==1.0.6)", "GitPython[dbt] (>=3.1.26,<4.0.0)", "dbt-redshift[dbt] (==1.0.1)", "dbt-bigquery[dbt] (==1.0.0)"] - -[package.source] -type = "directory" -url = "../rasa_data_ingestion" +pytz = ">=2015.7" [[package]] name = "bandit" -version = "1.7.0" +version = "1.7.4" description = "Security oriented static analyser for python code." category = "dev" optional = false -python-versions = ">=3.5" +python-versions = ">=3.7" [package.dependencies] colorama = {version = ">=0.3.9", markers = "platform_system == \"Windows\""} GitPython = ">=1.0.1" PyYAML = ">=5.3.1" -six = ">=1.10.0" stevedore = ">=1.20.0" +[package.extras] +test = ["coverage (>=4.5.4)", "fixtures (>=3.0.0)", "flake8 (>=4.0.0)", "stestr (>=2.5.0)", "testscenarios (>=0.5.0)", "testtools (>=2.3.0)", "toml", "beautifulsoup4 (>=4.8.0)", "pylint (==1.9.4)"] +toml = ["toml"] +yaml = ["pyyaml"] + +[[package]] +name = "boto3" +version = "1.24.2" +description = "The AWS SDK for Python" +category = "main" +optional = true +python-versions = ">= 3.7" + +[package.dependencies] +botocore = ">=1.27.2,<1.28.0" +jmespath = ">=0.7.1,<2.0.0" +s3transfer = ">=0.6.0,<0.7.0" + +[package.extras] +crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] + +[[package]] +name = "botocore" +version = "1.27.2" +description = "Low-level, data-driven core of boto 3." +category = "main" +optional = true +python-versions = ">= 3.7" + +[package.dependencies] +jmespath = ">=0.7.1,<2.0.0" +python-dateutil = ">=2.1,<3.0.0" +urllib3 = ">=1.25.4,<1.27" + +[package.extras] +crt = ["awscrt (==0.13.8)"] + [[package]] name = "cachetools" -version = "5.1.0" +version = "5.2.0" description = "Extensible memoizing collections and decorators" category = "main" optional = false @@ -83,6 +119,17 @@ category = "main" optional = false python-versions = ">=3.6" +[[package]] +name = "cffi" +version = "1.15.0" +description = "Foreign Function Interface for Python calling C code." +category = "main" +optional = true +python-versions = "*" + +[package.dependencies] +pycparser = "*" + [[package]] name = "charset-normalizer" version = "2.0.12" @@ -94,14 +141,103 @@ python-versions = ">=3.5.0" [package.extras] unicode_backport = ["unicodedata2"] +[[package]] +name = "click" +version = "8.1.3" +description = "Composable command line interface toolkit" +category = "main" +optional = true +python-versions = ">=3.7" + +[package.dependencies] +colorama = {version = "*", markers = "platform_system == \"Windows\""} + [[package]] name = "colorama" version = "0.4.4" description = "Cross-platform colored terminal text." -category = "dev" +category = "main" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +[[package]] +name = "dbt-bigquery" +version = "1.0.0" +description = "The BigQuery adapter plugin for dbt" +category = "main" +optional = true +python-versions = ">=3.7" + +[package.dependencies] +dbt-core = ">=1.0.0,<1.1.0" +google-api-core = ">=1.16.0,<3" +google-cloud-bigquery = ">=1.25.0,<3" +google-cloud-core = ">=1.3.0,<3" +googleapis-common-protos = ">=1.6.0,<2" +protobuf = ">=3.13.0,<4" + +[[package]] +name = "dbt-core" +version = "1.0.6" +description = "With dbt, data analysts and engineers can build analytics the way engineers build applications." +category = "main" +optional = true +python-versions = ">=3.7" + +[package.dependencies] +agate = ">=1.6,<1.6.4" +cffi = ">=1.9,<2.0.0" +click = ">=7.0,<9" +colorama = ">=0.3.9,<0.4.5" +dbt-extractor = ">=0.4.1,<0.5.0" +hologram = "0.0.14" +idna = ">=2.5,<4" +isodate = ">=0.6,<0.7" +Jinja2 = "2.11.3" +logbook = ">=1.5,<1.6" +MarkupSafe = ">=0.23,<2.1" +mashumaro = "2.9" +minimal-snowplow-tracker = "0.0.2" +networkx = ">=2.3,<3" +packaging = ">=20.9,<22.0" +requests = "<3.0.0" +sqlparse = ">=0.2.3,<0.5" +typing-extensions = ">=3.7.4,<3.11" +werkzeug = ">=1,<3" + +[[package]] +name = "dbt-extractor" +version = "0.4.1" +description = "A tool to analyze and extract information from Jinja used in dbt projects." +category = "main" +optional = true +python-versions = ">=3.6.1" + +[[package]] +name = "dbt-postgres" +version = "1.0.6" +description = "The postgres adpter plugin for dbt (data build tool)" +category = "main" +optional = true +python-versions = ">=3.7" + +[package.dependencies] +dbt-core = "1.0.6" +psycopg2-binary = ">=2.8,<3.0" + +[[package]] +name = "dbt-redshift" +version = "1.0.1" +description = "The Redshift adapter plugin for dbt" +category = "main" +optional = true +python-versions = ">=3.7" + +[package.dependencies] +boto3 = ">=1.4.4,<2.0.0" +dbt-core = ">=1.0.0,<1.1.0" +dbt-postgres = ">=1.0.0,<1.1.0" + [[package]] name = "decopatch" version = "1.4.10" @@ -128,7 +264,7 @@ pyflakes = ">=2.3.0,<2.4.0" [[package]] name = "flake8-bugbear" -version = "21.4.3" +version = "21.11.29" description = "A plugin for flake8 finding likely bugs and design problems in your program. Contains warnings that don't belong in pyflakes and pycodestyle." category = "dev" optional = false @@ -139,13 +275,21 @@ attrs = ">=19.2.0" flake8 = ">=3.0.0" [package.extras] -dev = ["coverage", "black", "hypothesis", "hypothesmith"] +dev = ["coverage", "hypothesis", "hypothesmith (>=0.2)", "pre-commit"] + +[[package]] +name = "future" +version = "0.18.2" +description = "Clean single-source support for Python 3 and 2" +category = "main" +optional = true +python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*" [[package]] name = "gitdb" version = "4.0.9" description = "Git Object Database" -category = "dev" +category = "main" optional = false python-versions = ">=3.6" @@ -156,52 +300,40 @@ smmap = ">=3.0.1,<6" name = "gitpython" version = "3.1.27" description = "GitPython is a python library used to interact with Git repositories" -category = "dev" +category = "main" optional = false python-versions = ">=3.7" [package.dependencies] gitdb = ">=4.0.1,<5" -[[package]] -name = "google-analytics-admin" -version = "0.7.2" -description = "" -category = "main" -optional = false -python-versions = ">=3.6" - -[package.dependencies] -google-api-core = {version = ">=1.28.0,<3.0.0dev", extras = ["grpc"]} -proto-plus = ">=1.4.0" - [[package]] name = "google-api-core" -version = "2.8.0" +version = "2.8.1" description = "Google API client core library" category = "main" -optional = false +optional = true python-versions = ">=3.6" [package.dependencies] google-auth = ">=1.25.0,<3.0dev" -googleapis-common-protos = ">=1.52.0,<2.0dev" +googleapis-common-protos = ">=1.56.2,<2.0dev" grpcio = {version = ">=1.33.2,<2.0dev", optional = true, markers = "extra == \"grpc\""} grpcio-status = {version = ">=1.33.2,<2.0dev", optional = true, markers = "extra == \"grpc\""} -protobuf = ">=3.12.0" +protobuf = ">=3.15.0,<4.0.0dev" requests = ">=2.18.0,<3.0.0dev" [package.extras] grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio-status (>=1.33.2,<2.0dev)"] -grpcgcp = ["grpcio-gcp (>=0.2.2)"] -grpcio-gcp = ["grpcio-gcp (>=0.2.2)"] +grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0dev)"] +grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0dev)"] [[package]] name = "google-auth" version = "2.6.6" description = "Google Authentication Library" category = "main" -optional = false +optional = true python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*" [package.dependencies] @@ -220,7 +352,7 @@ name = "google-cloud-bigquery" version = "2.34.3" description = "Google BigQuery API client library" category = "main" -optional = false +optional = true python-versions = ">=3.6, <3.11" [package.dependencies] @@ -249,7 +381,7 @@ name = "google-cloud-core" version = "2.3.0" description = "Google Cloud API client core library" category = "main" -optional = false +optional = true python-versions = ">=3.6" [package.dependencies] @@ -264,7 +396,7 @@ name = "google-crc32c" version = "1.3.0" description = "A python wrapper of the C library 'Google CRC32C'" category = "main" -optional = false +optional = true python-versions = ">=3.6" [package.extras] @@ -275,7 +407,7 @@ name = "google-resumable-media" version = "2.3.3" description = "Utilities for Google Media Downloads and Resumable Uploads" category = "main" -optional = false +optional = true python-versions = ">= 3.6" [package.dependencies] @@ -287,24 +419,24 @@ requests = ["requests (>=2.18.0,<3.0.0dev)"] [[package]] name = "googleapis-common-protos" -version = "1.56.1" +version = "1.56.2" description = "Common protobufs used in Google APIs" category = "main" -optional = false +optional = true python-versions = ">=3.6" [package.dependencies] -protobuf = ">=3.15.0" +protobuf = ">=3.15.0,<4.0.0dev" [package.extras] -grpc = ["grpcio (>=1.0.0)"] +grpc = ["grpcio (>=1.0.0,<2.0.0dev)"] [[package]] name = "grpcio" version = "1.43.0" description = "HTTP/2-based RPC framework" category = "main" -optional = false +optional = true python-versions = ">=3.6" [package.dependencies] @@ -318,7 +450,7 @@ name = "grpcio-status" version = "1.43.0" description = "Status proto mapping for gRPC" category = "main" -optional = false +optional = true python-versions = ">=3.6" [package.dependencies] @@ -340,6 +472,18 @@ doc = ["Sphinx (>=1.6.5,<2)", "sphinx-rtd-theme (>=0.1.9,<1)", "towncrier (>=19. lint = ["flake8 (==3.7.9)", "isort (>=4.2.15,<5)", "mypy (==0.770)", "pydocstyle (>=5.0.0,<6)"] test = ["eth-utils (>=1.0.1,<2)", "hypothesis (>=3.44.24,<4)", "pytest-xdist", "pytest (==5.4.1)", "tox (==3.14.6)"] +[[package]] +name = "hologram" +version = "0.0.14" +description = "JSON schema generation from dataclasses" +category = "main" +optional = true +python-versions = "*" + +[package.dependencies] +jsonschema = ">=3.0,<3.2" +python-dateutil = ">=2.8,<2.9" + [[package]] name = "idna" version = "3.3" @@ -348,6 +492,22 @@ category = "main" optional = false python-versions = ">=3.5" +[[package]] +name = "importlib-metadata" +version = "4.11.4" +description = "Read metadata from Python packages" +category = "main" +optional = true +python-versions = ">=3.7" + +[package.dependencies] +zipp = ">=0.5" + +[package.extras] +docs = ["sphinx", "jaraco.packaging (>=9)", "rst.linker (>=1.9)"] +perf = ["ipython"] +testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytest-cov", "pytest-enabler (>=1.0.1)", "packaging", "pyfakefs", "flufl.flake8", "pytest-perf (>=0.9.2)", "pytest-black (>=0.3.7)", "pytest-mypy (>=0.9.1)", "importlib-resources (>=1.3)"] + [[package]] name = "iniconfig" version = "1.1.1" @@ -356,6 +516,39 @@ category = "dev" optional = false python-versions = "*" +[[package]] +name = "isodate" +version = "0.6.1" +description = "An ISO 8601 date/time/duration parser and formatter" +category = "main" +optional = true +python-versions = "*" + +[package.dependencies] +six = "*" + +[[package]] +name = "jinja2" +version = "2.11.3" +description = "A very fast and expressive template engine." +category = "main" +optional = true +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" + +[package.dependencies] +MarkupSafe = ">=0.23" + +[package.extras] +i18n = ["Babel (>=0.8)"] + +[[package]] +name = "jmespath" +version = "1.0.0" +description = "JSON Matching Expressions" +category = "main" +optional = true +python-versions = ">=3.7" + [[package]] name = "json-logging" version = "1.4.1rc0" @@ -372,6 +565,53 @@ category = "main" optional = false python-versions = ">=3.6" +[[package]] +name = "jsonschema" +version = "3.1.1" +description = "An implementation of JSON Schema validation for Python" +category = "main" +optional = true +python-versions = "*" + +[package.dependencies] +attrs = ">=17.4.0" +importlib-metadata = "*" +pyrsistent = ">=0.14.0" +six = ">=1.11.0" + +[package.extras] +format = ["idna", "jsonpointer (>1.13)", "rfc3987", "strict-rfc3339", "webcolors"] + +[[package]] +name = "leather" +version = "0.3.4" +description = "Python charting for 80% of humans." +category = "main" +optional = true +python-versions = "*" + +[package.dependencies] +six = ">=1.6.1" + +[[package]] +name = "logbook" +version = "1.5.3" +description = "A logging replacement for Python" +category = "main" +optional = true +python-versions = "*" + +[package.extras] +all = ["redis", "brotli", "pytest (>4.0)", "execnet (>=1.0.9)", "cython", "pyzmq", "pytest-cov (>=2.6)", "sqlalchemy", "jinja2"] +compression = ["brotli"] +dev = ["pytest-cov (>=2.6)", "pytest (>4.0)", "cython"] +execnet = ["execnet (>=1.0.9)"] +jinja = ["jinja2"] +redis = ["redis"] +sqlalchemy = ["sqlalchemy"] +test = ["pytest-cov (>=2.6)", "pytest (>4.0)"] +zmq = ["pyzmq"] + [[package]] name = "makefun" version = "1.13.1" @@ -380,6 +620,27 @@ category = "dev" optional = false python-versions = "*" +[[package]] +name = "markupsafe" +version = "2.0.1" +description = "Safely add untrusted strings to HTML/XML markup." +category = "main" +optional = true +python-versions = ">=3.6" + +[[package]] +name = "mashumaro" +version = "2.9" +description = "Fast serialization framework on top of dataclasses" +category = "main" +optional = true +python-versions = ">=3.6" + +[package.dependencies] +msgpack = ">=0.5.6" +pyyaml = ">=3.13" +typing-extensions = "*" + [[package]] name = "mccabe" version = "0.6.1" @@ -388,6 +649,26 @@ category = "dev" optional = false python-versions = "*" +[[package]] +name = "minimal-snowplow-tracker" +version = "0.0.2" +description = "A minimal snowplow event tracker for Python. Add analytics to your Python and Django apps, webapps and games" +category = "main" +optional = true +python-versions = "*" + +[package.dependencies] +requests = ">=2.2.1,<3.0" +six = ">=1.9.0,<2.0" + +[[package]] +name = "msgpack" +version = "1.0.4" +description = "MessagePack serializer" +category = "main" +optional = true +python-versions = "*" + [[package]] name = "mypy" version = "0.931" @@ -413,6 +694,21 @@ category = "dev" optional = false python-versions = "*" +[[package]] +name = "networkx" +version = "2.8.2" +description = "Python package for creating and manipulating graphs and networks" +category = "main" +optional = true +python-versions = ">=3.8" + +[package.extras] +default = ["numpy (>=1.19)", "scipy (>=1.8)", "matplotlib (>=3.4)", "pandas (>=1.3)"] +developer = ["pre-commit (>=2.18)", "mypy (>=0.942)"] +doc = ["sphinx (>=4.5)", "pydata-sphinx-theme (>=0.8.1)", "sphinx-gallery (>=0.10)", "numpydoc (>=1.3)", "pillow (>=9.1)", "nb2plots (>=0.6)", "texext (>=0.6.6)"] 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a/pyproject.toml b/pyproject.toml index 7d2c7517ec..e4f47f96c4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,27 +1,61 @@ [tool.poetry] name = "python-dlt" -version = "0.0.1" +version = "0.1.0.dev0" description = "DLT is an open-source python-native scalable data loading framework that does not require any devops efforts to run." -authors = ["Marcin Rudolf "] -license = "MIT" +authors = ["ScaleVector "] +maintainers = [ "Marcin Rudolf ", "Adrian Brudaru ",] +readme = "README.md" +license = "Apache-2.0" +homepage = "https://github.com/scale-vector" +repository = "https://github.com/scale-vector/dlt" +classifiers = [ + "Development Status :: 3 - Alpha", + "Intended Audience :: Developers", + "License :: OSI Approved :: Apache Software License", + "Topic :: Software Development :: Libraries", + "Operating System :: MacOS :: MacOS X", + "Operating System :: POSIX :: Linux",] +keywords = [ "etl" ] +include = [ "LICENSE.txt", "README.md"] packages = [ { include = "dlt" }, ] [tool.poetry.dependencies] python = "^3.8,<3.11" -# autopoiesis = {path = "../rasa_data_ingestion"} +requests = "^2.26.0" +pendulum = "^2.1.2" +simplejson = "^3.17.5" +jsonlines = "^2.0.0" +PyYAML = "^5.4.1" +json-logging = "1.4.1rc0" +prometheus-client = "^0.11.0" +semver = "^2.13.0" +sentry-sdk = "^1.4.3" +hexbytes = "^0.2.2" +cachetools = "^5.2.0" + +psycopg2-binary = {version = "^2.9.1", optional = true, extras = ["redshift", "postgres"]} + +grpcio = {version = "1.43.0", optional = true, extras = ["gcp"]} +google-cloud-bigquery = {version = "^2.26.0", optional = true, extras = ["gcp"]} + +GitPython = {version = "^3.1.26", optional = true, extras = ["dbt"]} +dbt-core = {version = "1.0.6", optional = true, extras = ["dbt"]} +dbt-redshift = {version = "1.0.1", optional = true, extras = ["dbt"]} +dbt-bigquery = {version = "1.0.0", optional = true, extras = ["dbt"]} [tool.poetry.dev-dependencies] -pytest = "6.2.4" +pytest = "^6.2.4" mypy = "0.931" flake8 = "3.9.2" -bandit = "1.7.0" -flake8-bugbear = "21.4.3" -pytest-pythonpath = "0.7.3" +bandit = "^1.7.0" +flake8-bugbear = "^21.4.3" +pytest-pythonpath = "^0.7.3" pytest-order = "^1.0.0" pytest-cases = "^3.6.9" +pytest-forked = "^1.3.0" types-PyYAML = "^6.0.7" types-cachetools = "^4.2.9" types-protobuf = "^3.19.8" @@ -29,6 +63,12 @@ types-simplejson = "^3.17.0" types-requests = "^2.25.6" types-python-dateutil = "^2.8.15" +[tool.poetry.extras] +dbt = ["dbt-core", "GitPython", "dbt-redshift", "dbt-bigquery"] +gcp = ["grpcio", "google-cloud-bigquery"] +postgres = ["psycopg2-binary"] +redshift = ["psycopg2-binary"] + [build-system] requires = ["poetry-core>=1.0.8"] build-backend = "poetry.core.masonry.api" diff --git a/pytest.ini b/pytest.ini new file mode 100644 index 0000000000..4388d1e473 --- /dev/null +++ b/pytest.ini @@ -0,0 +1,7 @@ +[pytest] +python_paths= autopoiesis +norecursedirs= .direnv .eggs build dist +addopts= -v --showlocals --durations 10 +xfail_strict= true +log_cli= 1 +log_cli_level= INFO \ No newline at end of file diff --git a/tests/.example.env b/tests/.example.env new file mode 100644 index 0000000000..d234834467 --- /dev/null +++ b/tests/.example.env @@ -0,0 +1,18 @@ + +# copy to .env and run with (set -a && . tests/.env && pytest tests) +# for tests that do not involve any secrets you may run (set -a && . tests/.example.env && pytest tests) + + +PROJECT_ID=chat-analytics-317513 +DATASET=carbon_bot_3 +BQ_CRED_PRIVATE_KEY="-----BEGIN PRIVATE KEY----- + paste key here + -----END PRIVATE KEY----- +" +BQ_CRED_CLIENT_EMAIL=loader@chat-analytics-317513.iam.gserviceaccount.com + +PG_DATABASE_NAME=chat_analytics_rasa +PG_SCHEMA_PREFIX=carbon_bot_3 +PG_USER=loader +PG_HOST=3.73.90.3 +PG_PASSWORD=set-me-up \ No newline at end of file diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/common/__init__.py b/tests/common/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/common/cases/mod_bot_case.json b/tests/common/cases/mod_bot_case.json new file mode 100644 index 0000000000..6c56a900a8 --- /dev/null +++ b/tests/common/cases/mod_bot_case.json @@ -0,0 +1,32 @@ +{ + "event": "bot", + "timestamp": 1624001210.7276764, + "metadata": { + "rasa_x_flagged": false, + "rasa_x_id": 60304 + }, + "text": "Hello! Just a heads up - this bot is part of a research project and we intend to make the conversations publicly available to researchers. So please don't share any personal information! [Privacy Policy](https://rasa.com/carbon-bot-privacy-policy/)", + "data": { + "elements": null, + "quick_replies": null, + "buttons": null, + "attachment": null, + "image": null, + "custom": null + }, + "data__custom": "remains", + "data__custom__goes": "goes", + "custom_data": { + "excluded_path": { + "prop1": "str1" + }, + "included_object": { + "included_exception": "exception", + "eliminated": true + } + }, + "is_flagged": false, + "sender_id": "411b44bdfcc545f282fb4aa15282b73f", + "model_id": "__unknown", + "environment": "__unknown" +} \ No newline at end of file diff --git a/tests/common/cases/schemas/ev1/event_schema.7z b/tests/common/cases/schemas/ev1/event_schema.7z new file mode 100644 index 0000000000000000000000000000000000000000..0ac2b860d5036e5a5a28d38732eba5cf24368bc7 GIT binary patch literal 1964 zcmV;d2UGYrdc3bE8~_9$EClu<2LJ#70001L000000002iF2yk6N(~1ZT>w3TfEOGw zipV1{mbCyW$U_MA7(6#{nAiK{Ok(|PL7jd??&+EuVD_184tkzl(1b&U%}GZk#%0t?GF>o=X|8PG|!#~Be7 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"primary_key": false, + "foreign_key": false + }, + "confidence": { + "name": "confidence", + "data_type": "double", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "intent_response_key": { + "name": "intent_response_key", + "data_type": "text", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_record_hash": { + "name": "_record_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": true, + "foreign_key": false + }, + "_root_hash": { + "name": "_root_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_dist_key": { + "name": "_dist_key", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": true, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_timestamp": { + "name": "_timestamp", + "data_type": "timestamp", + "nullable": false, + "partition": true, + "cluster": false, + "sort": true, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_parent_hash": { + "name": "_parent_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": true + }, + "_pos": { + "name": "_pos", + "data_type": "bigint", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + } + }, + "event_user__parse_data__response_selector__out_of_scope__response__responses": { + "text": { + "name": "text", + "data_type": "text", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_record_hash": { + "name": "_record_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": true, + "foreign_key": false + }, + "_root_hash": { + "name": "_root_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_dist_key": { + "name": "_dist_key", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": true, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_timestamp": { + "name": "_timestamp", + "data_type": "timestamp", + "nullable": false, + "partition": true, + "cluster": false, + "sort": true, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_parent_hash": { + "name": "_parent_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": true + }, + "_pos": { + "name": "_pos", + "data_type": "bigint", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + } + }, + "event_user__parse_data__response_selector__out_of_scope__response__response_templates": { + "text": { + "name": "text", + "data_type": "text", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_record_hash": { + "name": "_record_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": true, + "foreign_key": false + }, + "_root_hash": { + "name": "_root_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_dist_key": { + "name": "_dist_key", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": true, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_timestamp": { + "name": "_timestamp", + "data_type": "timestamp", + "nullable": false, + "partition": true, + "cluster": false, + "sort": true, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_parent_hash": { + "name": "_parent_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": true + }, + "_pos": { + "name": "_pos", + "data_type": "bigint", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + } + }, + "event_user__parse_data__response_selector__out_of_scope__ranking": { + "id": { + "name": "id", + "data_type": "bigint", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "confidence": { + "name": "confidence", + "data_type": "double", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "intent_response_key": { + "name": "intent_response_key", + "data_type": "text", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_record_hash": { + "name": "_record_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": true, + "foreign_key": false + }, + "_root_hash": { + "name": "_root_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_dist_key": { + "name": "_dist_key", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": true, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_timestamp": { + "name": "_timestamp", + "data_type": "timestamp", + "nullable": false, + "partition": true, + "cluster": false, + "sort": true, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_parent_hash": { + "name": "_parent_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": true + }, + "_pos": { + "name": "_pos", + "data_type": "bigint", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + } + }, + "event_user__parse_data__entities": { + "entity": { + "name": "entity", + "data_type": "text", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "start": { + "name": "start", + "data_type": "bigint", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "end": { + "name": "end", + "data_type": "bigint", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "value": { + "name": "value", + "data_type": "text", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_record_hash": { + "name": "_record_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": true, + "foreign_key": false + }, + "_root_hash": { + "name": "_root_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_dist_key": { + "name": "_dist_key", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": true, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_timestamp": { + "name": "_timestamp", + "data_type": "timestamp", + "nullable": false, + "partition": true, + "cluster": false, + "sort": true, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_parent_hash": { + "name": "_parent_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": true + }, + "_pos": { + "name": "_pos", + "data_type": "bigint", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "confidence_entity": { + "name": "confidence_entity", + "data_type": "double", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "extractor": { + "name": "extractor", + "data_type": "text", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + } + }, + "event_user__parse_data__entities__processors": { + "value": { + "name": "value", + "data_type": "text", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_record_hash": { + "name": "_record_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": true, + "foreign_key": false + }, + "_root_hash": { + "name": "_root_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_dist_key": { + "name": "_dist_key", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": true, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_timestamp": { + "name": "_timestamp", + "data_type": "timestamp", + "nullable": false, + "partition": true, + "cluster": false, + "sort": true, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_parent_hash": { + "name": "_parent_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": true + }, + "_pos": { + "name": "_pos", + "data_type": "bigint", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + } + }, + "event_restart": { + "event": { + "name": "event", + "data_type": "text", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "timestamp": { + "name": "timestamp", + "data_type": "timestamp", + "nullable": false, + "partition": true, + "cluster": false, + "sort": true, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "metadata__rasa_x_flagged": { + "name": "metadata__rasa_x_flagged", + "data_type": "bool", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "metadata__rasa_x_id": { + "name": "metadata__rasa_x_id", + "data_type": "bigint", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "is_flagged": { + "name": "is_flagged", + "data_type": "bool", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "sender_id": { + "name": "sender_id", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": true, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "model_id": { + "name": "model_id", + "data_type": "text", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "environment": { + "name": "environment", + "data_type": "text", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_load_id": { + "name": "_load_id", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_root_hash": { + "name": "_root_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_record_hash": { + "name": "_record_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": true, + "foreign_key": false + } + }, + "event_rewind": { + "event": { + "name": "event", + "data_type": "text", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "timestamp": { + "name": "timestamp", + "data_type": "timestamp", + "nullable": false, + "partition": true, + "cluster": false, + "sort": true, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "metadata__rasa_x_flagged": { + "name": "metadata__rasa_x_flagged", + "data_type": "bool", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "metadata__rasa_x_id": { + "name": "metadata__rasa_x_id", + "data_type": "bigint", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "is_flagged": { + "name": "is_flagged", + "data_type": "bool", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "sender_id": { + "name": "sender_id", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": true, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "model_id": { + "name": "model_id", + "data_type": "text", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "environment": { + "name": "environment", + "data_type": "text", + "nullable": true, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_load_id": { + "name": "_load_id", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_root_hash": { + "name": "_root_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": false, + "foreign_key": false + }, + "_record_hash": { + "name": "_record_hash", + "data_type": "text", + "nullable": false, + "partition": false, + "cluster": false, + "sort": false, + "unique": false, + "primary_key": true, + "foreign_key": false + } + } + }, + "name": "event", + "version": 26, + "preferred_types": { + "^timestamp$": "timestamp", + "^_timestamp$": "timestamp", + "^inserted_at$": "timestamp", + "confidence": "double", + "^_pos$": "bigint" + }, + "hints": { + "not_null": [ + "^timestamp$", + "^_timestamp$", + "^_dist_key$", + "^_record_hash$", + "^_root_hash$", + "^_load_id$", + "^_parent_hash$", + "^_pos$", + "^sender_id$" + ], + "partition": [ + "^_timestamp$", + "^timestamp$" + ], + "cluster": [ + "^_dist_key$", + "^sender_id$" + ], + "primary_key": [ + "^_record_hash$" + ], + "foreign_key": [ + "^_parent_hash$" + ], + "sort": [ + "^timestamp$", + "^_timestamp$" + ], + "unique": [] + }, + "engine_version": 1 +} \ No newline at end of file diff --git a/tests/common/cases/schemas/ev1/model_schema.json b/tests/common/cases/schemas/ev1/model_schema.json new file mode 100644 index 0000000000..46a7653f11 --- /dev/null +++ b/tests/common/cases/schemas/ev1/model_schema.json @@ -0,0 +1,63 @@ +{ + "tables": { + "_version": { + "version": { + "name": "version", + "data_type": "bigint", + "nullable": false + }, + "engine_version": { + "name": "engine_version", + "data_type": "bigint", + "nullable": false + }, + "inserted_at": { + "name": "inserted_at", + "data_type": "timestamp", + "nullable": false + } + }, + "_loads": { + "load_id": { + "name": "load_id", + "data_type": "text", + "nullable": false + }, + "status": { + "name": "status", + "data_type": "bigint", + "nullable": false + }, + "inserted_at": { + "name": "inserted_at", + "data_type": "timestamp", + "nullable": false + } + } + }, + "name": "model", + "version": 1, + "preferred_types": { + "^timestamp$": "timestamp", + "trained_at$": "timestamp", + "^inserted_at$": "timestamp", + "^_pos$": "bigint" + }, + "hints": { + "not_null": [ + "^timestamp$", + "^_record_hash$", + "^_root_hash$", + "^_load_id$", + "^_parent_hash$", + "^_pos$" + ], + "primary_key": [ + "^_record_hash$" + ], + "foreign_key": [ + "^_parent_hash$" + ] + }, + "engine_version": 1 +} \ No newline at end of file diff --git a/tests/common/cases/schemas/rasa/event_schema.json b/tests/common/cases/schemas/rasa/event_schema.json new file mode 100644 index 0000000000..81c994964c --- /dev/null +++ b/tests/common/cases/schemas/rasa/event_schema.json @@ -0,0 +1,59 @@ +{ + "tables": { + "_version": { + "version": { + "name": "version", + "data_type": "bigint", + "nullable": false + }, + "engine_version": { + "name": "engine_version", + "data_type": "bigint", + "nullable": false + }, + "inserted_at": { + "name": "inserted_at", + "data_type": "timestamp", + "nullable": false + } + }, + "_loads": { + "load_id": { + "name": "load_id", + "data_type": "text", + "nullable": false + }, + "status": { + "name": "status", + "data_type": "bigint", + "nullable": false + }, + "inserted_at": { + "name": "inserted_at", + "data_type": "timestamp", + "nullable": false + } + } + }, + "version": 1, + "engine_version": 2, + "name": "event", + "preferred_types": { + "^timestamp$": "timestamp", + "^_timestamp$": "timestamp", + "^inserted_at$": "timestamp", + "confidence": "double", + "^_pos$": "bigint" + }, + "hints": { + "not_null": ["^timestamp$", "^_timestamp$", "^_dist_key$", "^_record_hash$", "^_root_hash$", "^_load_id$", "^_parent_hash$", "^_pos$", "^sender_id$"], + "partition": ["^_timestamp$", "^timestamp$"], + "cluster": ["^_dist_key$", "^sender_id$"], + "primary_key": [], + "foreign_key": ["^_parent_hash$"], + "sort": ["^timestamp$", "^_timestamp$"], + "unique": ["^_record_hash$"] + }, + "excludes": ["^event_user__parse_data", "^event_bot__data", "^event_bot__metadata"], + "includes": ["^event_user__parse_data__(intent|entities|message_id$|text$)", "^event_bot__metadata__(utter_action|template_name|rasa_x_[a-z]+)$"] +} \ No newline at end of file diff --git a/tests/common/cases/schemas/rasa/model_schema.json b/tests/common/cases/schemas/rasa/model_schema.json new file mode 100644 index 0000000000..a61f33355b --- /dev/null +++ b/tests/common/cases/schemas/rasa/model_schema.json @@ -0,0 +1,54 @@ +{ + "tables": { + "_version": { + "version": { + "name": "version", + "data_type": "bigint", + "nullable": false + }, + "engine_version": { + "name": "engine_version", + "data_type": "bigint", + "nullable": false + }, + "inserted_at": { + "name": "inserted_at", + "data_type": "timestamp", + "nullable": false + } + }, + "_loads": { + "load_id": { + "name": "load_id", + "data_type": "text", + "nullable": false + }, + "status": { + "name": "status", + "data_type": "bigint", + "nullable": false + }, + "inserted_at": { + "name": "inserted_at", + "data_type": "timestamp", + "nullable": false + } + } + }, + "version": 1, + "engine_version": 2, + "name": "model", + "preferred_types": { + "^timestamp$": "timestamp", + "trained_at$": "timestamp", + "^inserted_at$": "timestamp", + "^_pos$": "bigint" + }, + "hints": { + "not_null": ["^timestamp$", "^_record_hash$", "^_root_hash$", "^_load_id$", "^_parent_hash$", "^_pos$"], + "unique": ["^_record_hash$"], + "foreign_key": ["^_parent_hash$"] + }, + "excludes": [], + "includes": [] +} \ No newline at end of file diff --git a/tests/common/cases/secret-kube/secret-kube b/tests/common/cases/secret-kube/secret-kube new file mode 100644 index 0000000000..0f5feb8cc9 --- /dev/null +++ b/tests/common/cases/secret-kube/secret-kube @@ -0,0 +1 @@ +kube diff --git a/tests/common/cases/secret-value b/tests/common/cases/secret-value new file mode 100644 index 0000000000..341859d0fc --- /dev/null +++ b/tests/common/cases/secret-value @@ -0,0 +1 @@ +BANANA \ No newline at end of file diff --git a/tests/common/cases/simple_row.json b/tests/common/cases/simple_row.json new file mode 100644 index 0000000000..58b441fa5a --- /dev/null +++ b/tests/common/cases/simple_row.json @@ -0,0 +1,16 @@ +[ + { + "f_int": 7817289712, + "f_float": 92898e37, + "f_timestamp": "2021-10-13T13:49:32.901899+00:00", + "f_bool": true, + "f_bool_2": false, + "f_str": "some string" + }, + { + "f_int": 7817289713, + "f_float": 878172.8292, + "f_timestamp": "2021-10-13T13:49:32.901899+00:00", + "f_bool_2": false + } +] \ No newline at end of file diff --git a/tests/common/cases/weird_rows.json b/tests/common/cases/weird_rows.json new file mode 100644 index 0000000000..20cd1eb2e2 --- /dev/null +++ b/tests/common/cases/weird_rows.json @@ -0,0 +1,14 @@ +[ + { + "idx": 1, + "str": ", NULL'); DROP SCHEMA Public --" + }, + { + "idx": 2, + "str": "イロハニホヘト チリヌルヲ 'ワカヨタレソ ツネナラム" + }, + { + "idx": 3, + "str": "ऄअआइ'ईउऊऋऌऍऎए" + } +] \ No newline at end of file diff --git a/tests/common/storages/__init__.py b/tests/common/storages/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/common/storages/test_loader_storage.py b/tests/common/storages/test_loader_storage.py new file mode 100644 index 0000000000..77dd3a2e78 --- /dev/null +++ b/tests/common/storages/test_loader_storage.py @@ -0,0 +1,84 @@ +import pytest +from typing import Sequence, Tuple + +from dlt.common.file_storage import FileStorage +from dlt.common.storages.loader_storage import LoaderStorage +from dlt.common.configuration import LoadingVolumeConfiguration, make_configuration +from dlt.common.storages.exceptions import NoMigrationPathException +from dlt.common.typing import StrAny +from dlt.common.utils import uniq_id + +from tests.utils import write_version, autouse_root_storage + + +@pytest.fixture +def storage() -> LoaderStorage: + C = make_configuration(LoadingVolumeConfiguration, LoadingVolumeConfiguration) + s = LoaderStorage(True, C, "jsonl") + s.initialize_storage() + return s + + +def test_archive_completed(storage: LoaderStorage) -> None: + # should delete archive in full + storage.delete_completed_jobs = True + load_id, file_name = start_loading_file(storage, [{"content": "a"}, {"content": "b"}]) + assert storage.storage.has_folder(storage.get_load_path(load_id)) + storage.complete_job(load_id, file_name) + storage.archive_load(load_id) + # deleted from loading + assert not storage.storage.has_folder(storage.get_load_path(load_id)) + # deleted from archive + assert not storage.storage.has_folder(storage.get_archived_path(load_id)) + + # do not delete completed jobs + storage.delete_completed_jobs = False + load_id, file_name = start_loading_file(storage, [{"content": "a"}, {"content": "b"}]) + storage.complete_job(load_id, file_name) + storage.archive_load(load_id) + # deleted from loading + assert not storage.storage.has_folder(storage.get_load_path(load_id)) + # has load archived + assert storage.storage.has_folder(storage.get_archived_path(load_id)) + + +def test_archive_failed(storage: LoaderStorage) -> None: + # loads with failed jobs are always archived + storage.delete_completed_jobs = True + load_id, file_name = start_loading_file(storage, [{"content": "a"}, {"content": "b"}]) + assert storage.storage.has_folder(storage.get_load_path(load_id)) + storage.fail_job(load_id, file_name, "EXCEPTION") + storage.archive_load(load_id) + # deleted from loading + assert not storage.storage.has_folder(storage.get_load_path(load_id)) + # present in archive + assert storage.storage.has_folder(storage.get_archived_path(load_id)) + + +def test_full_migration_path() -> None: + # create directory structure + s = LoaderStorage(True, LoadingVolumeConfiguration, "jsonl") + # overwrite known initial version + write_version(s.storage, "1.0.0") + # must be able to migrate to current version + s = LoaderStorage(False, LoadingVolumeConfiguration, "jsonl") + assert s.version == LoaderStorage.STORAGE_VERSION + + +def test_unknown_migration_path() -> None: + # create directory structure + s = LoaderStorage(True, LoadingVolumeConfiguration, "jsonl") + # overwrite known initial version + write_version(s.storage, "10.0.0") + # must be able to migrate to current version + with pytest.raises(NoMigrationPathException): + LoaderStorage(False, LoadingVolumeConfiguration, "jsonl") + + +def start_loading_file(s: LoaderStorage, content: Sequence[StrAny]) -> Tuple[str, str]: + load_id = uniq_id() + s.create_temp_load_folder(load_id) + file_name = s.write_temp_loading_file(load_id, "mock_table", None, uniq_id(), content) + s.commit_temp_load_folder(load_id) + s.start_job(load_id, file_name) + return load_id, file_name diff --git a/tests/common/storages/test_unpacker_storage.py b/tests/common/storages/test_unpacker_storage.py new file mode 100644 index 0000000000..73d55f0d11 --- /dev/null +++ b/tests/common/storages/test_unpacker_storage.py @@ -0,0 +1,40 @@ +import pytest + +from dlt.common.file_storage import FileStorage +from dlt.common.storages.exceptions import NoMigrationPathException +from dlt.common.storages.unpacker_storage import UnpackerStorage +from dlt.common.configuration import UnpackingVolumeConfiguration + +from tests.utils import TEST_STORAGE, write_version, autouse_root_storage + +@pytest.mark.skip() +def test_load_events_and_group_by_sender() -> None: + # TODO: create fixture with two sender ids and 3 files and check the result + pass + + +@pytest.mark.skip() +def test_chunk_by_events() -> None: + # TODO: should distribute ~ N events evenly among m cores with fallback for small amounts of events + pass + + + +def test_full_migration_path() -> None: + # create directory structure + s = UnpackerStorage(True, UnpackingVolumeConfiguration) + # overwrite known initial version + write_version(s.storage, "1.0.0") + # must be able to migrate to current version + s = UnpackerStorage(True, UnpackingVolumeConfiguration) + assert s.version == UnpackerStorage.STORAGE_VERSION + + +def test_unknown_migration_path() -> None: + # create directory structure + s = UnpackerStorage(True, UnpackingVolumeConfiguration) + # overwrite known initial version + write_version(s.storage, "10.0.0") + # must be able to migrate to current version + with pytest.raises(NoMigrationPathException): + UnpackerStorage(False, UnpackingVolumeConfiguration) diff --git a/tests/common/storages/test_versioned_storage.py b/tests/common/storages/test_versioned_storage.py new file mode 100644 index 0000000000..e4bcbf7a37 --- /dev/null +++ b/tests/common/storages/test_versioned_storage.py @@ -0,0 +1,59 @@ +import pytest +import semver + +from dlt.common.file_storage import FileStorage +from dlt.common.storages.exceptions import NoMigrationPathException, WrongStorageVersionException +from dlt.common.storages.versioned_storage import VersionedStorage + +from tests.utils import write_version, root_storage + + +class MigratedStorage(VersionedStorage): + def migrate_storage(self, from_version: semver.VersionInfo, to_version: semver.VersionInfo) -> None: + # migration example: + if from_version == "1.0.0" and from_version < to_version: + from_version = semver.VersionInfo.parse("1.1.0") + self._save_version(from_version) + if from_version == "1.1.0" and from_version < to_version: + from_version = semver.VersionInfo.parse("1.2.0") + self._save_version(from_version) + + +def test_new_versioned_storage(root_storage: FileStorage) -> None: + v = VersionedStorage("1.0.1", True, root_storage) + assert v.version == "1.0.1" + + +def test_new_versioned_storage_non_owner(root_storage: FileStorage) -> None: + with pytest.raises(WrongStorageVersionException) as wsve: + VersionedStorage("1.0.1", False, root_storage) + assert wsve.value.storage_path == root_storage.storage_path + assert wsve.value.target_version == "1.0.1" + assert wsve.value.initial_version == "0.0.0" + + +def test_migration(root_storage: FileStorage) -> None: + write_version(root_storage, "1.0.0") + v = MigratedStorage("1.2.0", True, root_storage) + assert v.version == "1.2.0" + + +def test_unknown_migration_path(root_storage: FileStorage) -> None: + write_version(root_storage, "1.0.0") + with pytest.raises(NoMigrationPathException) as wmpe: + MigratedStorage("1.3.0", True, root_storage) + assert wmpe.value.migrated_version == "1.2.0" + + +def test_only_owner_migrates(root_storage: FileStorage) -> None: + write_version(root_storage, "1.0.0") + with pytest.raises(WrongStorageVersionException) as wmpe: + MigratedStorage("1.2.0", False, root_storage) + assert wmpe.value.initial_version == "1.0.0" + + +def test_downgrade_not_possible(root_storage: FileStorage) -> None: + write_version(root_storage, "1.2.0") + with pytest.raises(NoMigrationPathException) as wmpe: + MigratedStorage("1.1.0", True, root_storage) + assert wmpe.value.migrated_version == "1.2.0" \ No newline at end of file diff --git a/tests/common/test_arithmetics.py b/tests/common/test_arithmetics.py new file mode 100644 index 0000000000..2665d74cf8 --- /dev/null +++ b/tests/common/test_arithmetics.py @@ -0,0 +1,34 @@ +from dlt.common import Decimal +from dlt.common.arithmetics import numeric_default_context, numeric_default_quantize + + +def test_default_numeric_quantize() -> None: + scale_18 = Decimal("0.532701078956217708") + # 9 digits scale and round up + assert numeric_default_quantize(scale_18) == Decimal("0.532701079") + assert str(numeric_default_quantize(scale_18)) == "0.532701079" + + # 9 digits and round up (HALF UP is default) + scale_18 = Decimal("0.5327010785") + assert str(numeric_default_quantize(scale_18)) == "0.532701079" + + # 9 digits and round down + scale_18 = Decimal("0.5327010784") + assert str(numeric_default_quantize(scale_18)) == "0.532701078" + + + # less than 0 digits + scale_5 = Decimal("0.4") + assert str(numeric_default_quantize(scale_5)) == "0.400000000" + + +def test_numeric_default_context() -> None: + # we reach (38,9) numeric + with numeric_default_context(): + v = Decimal(10**29-1) + Decimal("0.532701079") + assert str(v) == "99999999999999999999999999999.532701079" + assert numeric_default_quantize(v) == v + + # without context this is 28 + v = Decimal(10**27 - 1) + Decimal("0.5432701079") + assert str(v) == "999999999999999999999999999.5" diff --git a/tests/common/test_configuration.py b/tests/common/test_configuration.py new file mode 100644 index 0000000000..52ccb7b46e --- /dev/null +++ b/tests/common/test_configuration.py @@ -0,0 +1,405 @@ +from os import environ +from typing import Any, Dict, List, NewType, Optional, Tuple + +import pytest + +from dlt.common.configuration import ( + BasicConfiguration, ConfigEntryMissingException, ConfigFileNotFoundException, + ConfigEnvValueCannotBeCoercedException, utils) +from dlt.common.configuration.utils import (_coerce_single_value, IS_DEVELOPMENT_CONFIG_KEY, + _get_config_attrs_with_hints, TConfigSecret, + is_direct_descendant, make_configuration) + +# used to test version +__version__ = "1.0.5" + +IS_DEVELOPMENT_CONFIG = 'DEBUG' +NONE_CONFIG_VAR = 'NoneConfigVar' +COERCIONS = { + 'STR_VAL': 'test string', + 'INT_VAL': 12345, + 'BOOL_VAL': True, + 'LIST_VAL': [1, "2", [3]], + 'DICT_VAL': { + 'a': 1, + "b": "2" + }, + 'TUPLE_VAL': (1, 2, '7'), + 'SET_VAL': {1, 2, 3}, + 'BYTES_VAL': b'Hello World!', + 'FLOAT_VAL': 1.18927, + 'ANY_VAL': "function() {}", + 'NONE_VAL': "none", + 'COMPLEX_VAL': { + "_": (1440, ["*"], []), + "change-email": (560, ["*"], []) + } +} + +INVALID_COERCIONS = { + # 'STR_VAL': 'test string', # string always OK + 'INT_VAL': "a12345", + 'BOOL_VAL': "Yes", # bool overridden by string - that is the most common problem + 'LIST_VAL': {1, "2", 3.0}, + 'DICT_VAL': "{'a': 1, 'b', '2'}", + 'TUPLE_VAL': [1, 2, '7'], + 'SET_VAL': [1, 2, 3], + 'BYTES_VAL': 'Hello World!', + 'FLOAT_VAL': "invalid" +} + +EXCEPTED_COERCIONS = { + # allows to use int for float + 'FLOAT_VAL': 10, + # allows to use float for str + 'STR_VAL': 10.0 +} + +COERCED_EXCEPTIONS = { + # allows to use int for float + 'FLOAT_VAL': 10.0, + # allows to use float for str + 'STR_VAL': "10.0" +} + + +class SimpleConfiguration(BasicConfiguration): + NAME: str = "Some Name" + + +class WrongConfiguration(BasicConfiguration): + NAME: str = "Some Name" + NoneConfigVar = None + LOG_COLOR: bool = True + + +class SecretConfiguration(BasicConfiguration): + NAME: str = "secret" + SECRET_VALUE: TConfigSecret = None + + +class SecretKubeConfiguration(BasicConfiguration): + NAME: str = "secret kube" + SECRET_KUBE: TConfigSecret = None + + +class TestCoercionConfiguration(BasicConfiguration): + NAME: str = "Some Name" + STR_VAL: str = None + INT_VAL: int = None + BOOL_VAL: bool = None + LIST_VAL: list = None # type: ignore + DICT_VAL: dict = None # type: ignore + TUPLE_VAL: tuple = None # type: ignore + BYTES_VAL: bytes = None + SET_VAL: set = None # type: ignore + FLOAT_VAL: float = None + ANY_VAL: Any = None + NONE_VAL = None + COMPLEX_VAL: Dict[str, Tuple[int, List[str], List[str]]] = None + + +class VeryWrongConfiguration(WrongConfiguration): + NAME: str = "Some Name" + STR_VAL: str = "" + INT_VAL: int = None + LOG_COLOR: str = "1" # type: ignore + + +class ConfigurationWithOptionalTypes(BasicConfiguration): + NAME: str = "Some Name" + + STR_VAL: Optional[str] = None + INT_VAL: Optional[int] = None + BOOL_VAL: bool = True + + +class ProdConfigurationWithOptionalTypes(ConfigurationWithOptionalTypes): + PROD_VAL: str = "prod" + + +class MockProdConfiguration(BasicConfiguration): + NAME: str = "comp" + + +class MockProdConfigurationVar(BasicConfiguration): + NAME: str = "comp" + + +LongInteger = NewType("LongInteger", int) +FirstOrderStr = NewType("FirstOrderStr", str) +SecondOrderStr = NewType("SecondOrderStr", FirstOrderStr) + + +@pytest.fixture(scope="module", autouse=True) +def preserve_environ() -> None: + saved_environ = environ.copy() + yield + environ.clear() + environ.update(saved_environ) + + +@pytest.fixture(scope="function") +def environment() -> Any: + environ.clear() + return environ + + +def test_configuration_rise_exception_when_config_is_not_complete() -> None: + with pytest.raises(ConfigEntryMissingException) as config_entry_missing_exception: + keys = _get_config_attrs_with_hints(WrongConfiguration) + utils._is_config_bounded(WrongConfiguration, keys) + + assert 'NoneConfigVar' in config_entry_missing_exception.value.missing_set + + +def test_optional_types_are_not_required() -> None: + # this should not raise an exception + keys = _get_config_attrs_with_hints(ConfigurationWithOptionalTypes) + utils._is_config_bounded(ConfigurationWithOptionalTypes, keys) + # make optional config + make_configuration(ConfigurationWithOptionalTypes, ConfigurationWithOptionalTypes) + # make config with optional values + make_configuration( + ProdConfigurationWithOptionalTypes, + ProdConfigurationWithOptionalTypes, + initial_values={"INT_VAL": None} + ) + + +def test_configuration_apply_adds_environment_variable_to_config(environment: Any) -> None: + environment[NONE_CONFIG_VAR] = "Some" + + keys = _get_config_attrs_with_hints(WrongConfiguration) + utils._apply_environ_to_config(WrongConfiguration, keys) + utils._is_config_bounded(WrongConfiguration, keys) + + # NoneConfigVar has no hint so value not coerced from string + assert WrongConfiguration.NoneConfigVar == environment[NONE_CONFIG_VAR] + + +def test_conf(environment: Any) -> None: + environment[IS_DEVELOPMENT_CONFIG] = 'True' + + keys = _get_config_attrs_with_hints(SimpleConfiguration) + utils._apply_environ_to_config(SimpleConfiguration, keys) + utils._is_config_bounded(SimpleConfiguration, keys) + + # value will be coerced to bool + assert BasicConfiguration.IS_DEVELOPMENT_CONFIG is True + + +def test_find_all_keys() -> None: + keys = _get_config_attrs_with_hints(VeryWrongConfiguration) + # assert hints and types: NoneConfigVar has no type hint and LOG_COLOR had it hint overwritten in derived class + assert set({'STR_VAL': str, 'INT_VAL': int, 'NoneConfigVar': None, 'LOG_COLOR': str}.items()).issubset(keys.items()) + + +def test_coercions(environment: Any) -> None: + for key, value in COERCIONS.items(): + environment[key] = str(value) + + keys = _get_config_attrs_with_hints(TestCoercionConfiguration) + utils._apply_environ_to_config(TestCoercionConfiguration, keys) + utils._is_config_bounded(TestCoercionConfiguration, keys) + + for key in COERCIONS: + assert getattr(TestCoercionConfiguration, key) == COERCIONS[key] + + +def test_invalid_coercions(environment: Any) -> None: + config_keys = _get_config_attrs_with_hints(TestCoercionConfiguration) + for key, value in INVALID_COERCIONS.items(): + try: + environment[key] = str(value) + utils._apply_environ_to_config(TestCoercionConfiguration, config_keys) + except ConfigEnvValueCannotBeCoercedException as coerc_exc: + # must fail excatly on expected value + if coerc_exc.attr_name != key: + raise + # overwrite with valid value and go to next env + environment[key] = str(COERCIONS[key]) + continue + raise AssertionError("%s was coerced with %s which is invalid type" % (key, value)) + + +def test_excepted_coercions(environment: Any) -> None: + config_keys = _get_config_attrs_with_hints(TestCoercionConfiguration) + for k, v in EXCEPTED_COERCIONS.items(): + environment[k] = str(v) + utils._apply_environ_to_config(TestCoercionConfiguration, config_keys) + for key in EXCEPTED_COERCIONS: + assert getattr(TestCoercionConfiguration, key) == COERCED_EXCEPTIONS[key] + + +def test_development_config_detection(environment: Any) -> None: + # default is true + assert utils._is_development_config() + environment[IS_DEVELOPMENT_CONFIG_KEY] = "False" + # explicit values + assert not utils._is_development_config() + environment[IS_DEVELOPMENT_CONFIG_KEY] = "True" + assert utils._is_development_config() + # raise exception on env value that cannot be coerced to bool + with pytest.raises(ConfigEnvValueCannotBeCoercedException): + environment[IS_DEVELOPMENT_CONFIG_KEY] = "NONBOOL" + utils._is_development_config() + + +def test_make_configuration(environment: Any) -> None: + # fill up configuration + environment['INT_VAL'] = "1" + # default is true + assert is_direct_descendant(utils.make_configuration(WrongConfiguration, VeryWrongConfiguration), WrongConfiguration) + environment[IS_DEVELOPMENT_CONFIG_KEY] = "False" + assert is_direct_descendant(utils.make_configuration(WrongConfiguration, VeryWrongConfiguration), VeryWrongConfiguration) + environment[IS_DEVELOPMENT_CONFIG_KEY] = "True" + assert is_direct_descendant(utils.make_configuration(WrongConfiguration, VeryWrongConfiguration), WrongConfiguration) + + +def test_auto_derivation(environment: Any) -> None: + # make_configuration auto derives a type and never modifies the original type + environment['SECRET_VALUE'] = "1" + C = utils.make_configuration(SecretConfiguration, SecretConfiguration) + # auto derived type holds the value + assert C.SECRET_VALUE == "1" + # base type is untouched + assert SecretConfiguration.SECRET_VALUE is None + # type name is derived + assert C.__name__.startswith("SecretConfiguration_") + + +def test_initial_values(environment: Any) -> None: + # initial values will be overridden from env + environment["NAME"] = "env name" + environment["CREATED_VAL"] = "12837" + # set initial values and allow partial config + C = make_configuration(TestCoercionConfiguration, TestCoercionConfiguration, + {"NAME": "initial name", "NONE_VAL": type(environment), "CREATED_VAL": 878232, "BYTES_VAL": b"str"}, + accept_partial=True + ) + # from env + assert C.NAME == "env name" + # from initial + assert C.BYTES_VAL == b"str" + assert C.NONE_VAL == type(environment) + # new prop overridden from env + environment["CREATED_VAL"] == "12837" + + +def test_finds_version(environment: Any) -> None: + global __version__ + + v = __version__ + C = utils.make_configuration(SimpleConfiguration, SimpleConfiguration) + assert C._VERSION == v + try: + del globals()["__version__"] + # C is a type, not instance and holds the _VERSION from previous extract + delattr(C, "_VERSION") + C = utils.make_configuration(SimpleConfiguration, SimpleConfiguration) + assert not hasattr(C, "_VERSION") + finally: + __version__ = v + + +def test_secret(environment: Any) -> None: + with pytest.raises(ConfigEntryMissingException): + utils.make_configuration(SecretConfiguration, SecretConfiguration) + environment['SECRET_VALUE'] = "1" + C = utils.make_configuration(SecretConfiguration, SecretConfiguration) + assert C.SECRET_VALUE == "1" + # mock the path to point to secret storage + # from dlt.common.configuration import config_utils + path = utils.SECRET_STORAGE_PATH + del environment['SECRET_VALUE'] + try: + # must read a secret file + utils.SECRET_STORAGE_PATH = "./tests/common/cases/%s" + C = utils.make_configuration(SecretConfiguration, SecretConfiguration) + assert C.SECRET_VALUE == "BANANA" + + # set some weird path, no secret file at all + del environment['SECRET_VALUE'] + utils.SECRET_STORAGE_PATH = "!C:\\PATH%s" + with pytest.raises(ConfigEntryMissingException): + utils.make_configuration(SecretConfiguration, SecretConfiguration) + + # set env which is a fallback for secret not as file + environment['SECRET_VALUE'] = "1" + C = utils.make_configuration(SecretConfiguration, SecretConfiguration) + assert C.SECRET_VALUE == "1" + finally: + utils.SECRET_STORAGE_PATH = path + + +def test_secret_kube_fallback(environment: Any) -> None: + path = utils.SECRET_STORAGE_PATH + try: + utils.SECRET_STORAGE_PATH = "./tests/common/cases/%s" + C = utils.make_configuration(SecretKubeConfiguration, SecretKubeConfiguration) + # all unix editors will add x10 at the end of file, it will be preserved + assert C.SECRET_KUBE == "kube\n" + # we propagate secrets back to environ and strip the whitespace + assert environment['SECRET_KUBE'] == "kube" + finally: + utils.SECRET_STORAGE_PATH = path + + +def test_configuration_must_be_subclass_of_prod(environment: Any) -> None: + # fill up configuration + environment['INT_VAL'] = "1" + # prod must inherit from config + with pytest.raises(AssertionError): + # VeryWrongConfiguration does not descend inherit from ConfigurationWithOptionalTypes so it cannot be production config of it + utils.make_configuration(ConfigurationWithOptionalTypes, VeryWrongConfiguration) + + +def test_coerce_values() -> None: + with pytest.raises(ConfigEnvValueCannotBeCoercedException): + _coerce_single_value("key", "some string", int) + assert _coerce_single_value("key", "some string", str) == "some string" + # Optional[str] has type object, mypy will never work properly... + assert _coerce_single_value("key", "some string", Optional[str]) == "some string" # type: ignore + + assert _coerce_single_value("key", "234", int) == 234 + assert _coerce_single_value("key", "234", Optional[int]) == 234 # type: ignore + + # check coercions of NewTypes + assert _coerce_single_value("key", "test str X", FirstOrderStr) == "test str X" + assert _coerce_single_value("key", "test str X", Optional[FirstOrderStr]) == "test str X" # type: ignore + assert _coerce_single_value("key", "test str X", Optional[SecondOrderStr]) == "test str X" # type: ignore + assert _coerce_single_value("key", "test str X", SecondOrderStr) == "test str X" + assert _coerce_single_value("key", "234", LongInteger) == 234 + assert _coerce_single_value("key", "234", Optional[LongInteger]) == 234 # type: ignore + # this coercion should fail + with pytest.raises(ConfigEnvValueCannotBeCoercedException): + _coerce_single_value("key", "some string", LongInteger) + with pytest.raises(ConfigEnvValueCannotBeCoercedException): + _coerce_single_value("key", "some string", Optional[LongInteger]) # type: ignore + + +def test_configuration_files_prod_path(environment: Any) -> None: + environment[IS_DEVELOPMENT_CONFIG_KEY] = "True" + C = utils.make_configuration(MockProdConfiguration, MockProdConfiguration) + assert C.CONFIG_FILES_STORAGE_PATH == "_storage/config/%s" + + environment[IS_DEVELOPMENT_CONFIG_KEY] = "False" + C = utils.make_configuration(MockProdConfiguration, MockProdConfiguration) + assert C.IS_DEVELOPMENT_CONFIG is False + assert C.CONFIG_FILES_STORAGE_PATH == "/run/config/%s" + + +def test_configuration_files(environment: Any) -> None: + # overwrite config file paths + environment[IS_DEVELOPMENT_CONFIG_KEY] = "False" + environment["CONFIG_FILES_STORAGE_PATH"] = "./tests/common/cases/schemas/ev1/%s" + C = utils.make_configuration(MockProdConfigurationVar, MockProdConfigurationVar) + assert C.CONFIG_FILES_STORAGE_PATH == environment["CONFIG_FILES_STORAGE_PATH"] + assert utils.has_configuration_file("hasn't", C) is False + assert utils.has_configuration_file("event_schema.json", C) is True + assert utils.get_configuration_file_path("event_schema.json", C) == "./tests/common/cases/schemas/ev1/event_schema.json" + with utils.open_configuration_file("event_schema.json", "r", C) as f: + f.read() + with pytest.raises(ConfigFileNotFoundException): + utils.open_configuration_file("hasn't", "r", C) diff --git a/tests/common/test_data_writers.py b/tests/common/test_data_writers.py new file mode 100644 index 0000000000..1e40648929 --- /dev/null +++ b/tests/common/test_data_writers.py @@ -0,0 +1,44 @@ +import io + +from dlt.common.dataset_writers import write_insert_values, escape_redshift_literal, escape_redshift_identifier + +from tests.common.utils import load_json_case + +def test_simple_insert_writer() -> None: + rows = load_json_case("simple_row") + with io.StringIO() as f: + write_insert_values(f, rows, rows[0].keys()) + lines = f.getvalue().split("\n") + assert lines[0].startswith("INSERT INTO {}") + assert '","'.join(rows[0].keys()) in lines[0] + assert lines[1] == "VALUES" + assert len(lines) == 4 + + +def test_unicode_insert_writer() -> None: + rows = load_json_case("weird_rows") + with io.StringIO() as f: + write_insert_values(f, rows, rows[0].keys()) + lines = f.getvalue().split("\n") + assert lines[2].endswith("', NULL''); DROP SCHEMA Public --'),") + assert lines[3].endswith("'イロハニホヘト チリヌルヲ ''ワカヨタレソ ツネナラム'),") + assert lines[4].endswith("'ऄअआइ''ईउऊऋऌऍऎए');") + + +def test_string_literal_escape() -> None: + assert escape_redshift_literal(", NULL'); DROP TABLE --") == "', NULL''); DROP TABLE --'" + assert escape_redshift_literal(", NULL');\n DROP TABLE --") == "', NULL'');\n DROP TABLE --'" + assert escape_redshift_literal(", NULL);\n DROP TABLE --") == "', NULL);\n DROP TABLE --'" + assert escape_redshift_literal(", NULL);\\n DROP TABLE --\\") == "', NULL);\\\\n DROP TABLE --\\\\'" + + +def test_identifier_escape() -> None: + assert escape_redshift_identifier(", NULL'); DROP TABLE\" -\\-") == '", NULL\'); DROP TABLE"" -\\\\-"' + + +def test_string_escape_unicode() -> None: + # test on some unicode characters + assert escape_redshift_literal(", NULL);\n DROP TABLE --") == "', NULL);\n DROP TABLE --'" + assert escape_redshift_literal("イロハニホヘト チリヌルヲ ワカヨタレソ ツネナラム") == "'イロハニホヘト チリヌルヲ ワカヨタレソ ツネナラム'" + assert escape_redshift_identifier("ąćł\"") == '"ąćł"""' + assert escape_redshift_identifier("イロハニホヘト チリヌルヲ \"ワカヨタレソ ツネナラム") == '"イロハニホヘト チリヌルヲ ""ワカヨタレソ ツネナラム"' diff --git a/tests/common/test_logging.py b/tests/common/test_logging.py new file mode 100644 index 0000000000..c0133fb08e --- /dev/null +++ b/tests/common/test_logging.py @@ -0,0 +1,118 @@ +import pytest +import json_logging +from os import environ +from typing import Any + +from dlt import __version__ as auto_version +from dlt.common import logger, sleep +from dlt.common.typing import StrStr +from dlt.common.configuration import BasicConfiguration + + +class PureBasicConfiguration(BasicConfiguration): + NAME: str = "logger" + + +class PureBasicConfigurationProc(PureBasicConfiguration): + _VERSION: str = "1.6.6" + + +class JsonLoggerConfiguration(PureBasicConfigurationProc): + LOG_FORMAT: str = "JSON" + + +class SentryLoggerConfiguration(JsonLoggerConfiguration): + SENTRY_DSN: str = "http://user:pass@localhost/818782" + + +@pytest.fixture(scope="module", autouse=True) +def preserve_environ() -> None: + saved_environ = environ.copy() + yield + environ.clear() + environ.update(saved_environ) + + +@pytest.fixture(scope="function") +def environment() -> StrStr: + environ.clear() + + return environ + + +def test_version_extract(environment: StrStr) -> None: + version = logger._extract_version_info(PureBasicConfiguration) + # if component ver not avail use system version + assert version == {'version': auto_version, 'component_name': 'logger'} + version = logger._extract_version_info(PureBasicConfigurationProc) + assert version["component_version"] == PureBasicConfigurationProc._VERSION + # mock image info available in container + _mock_image_env(environment) + version = logger._extract_version_info(PureBasicConfigurationProc) + assert version == {'version': auto_version, 'commit_sha': '192891', 'component_name': 'logger', 'component_version': '1.6.6', 'image_version': 'scale/v:112'} + + +def test_pod_info_extract(environment: StrStr) -> None: + pod_info = logger._extract_pod_info() + assert pod_info == {} + _mock_pod_env(environment) + pod_info = logger._extract_pod_info() + assert pod_info == {'kube_node_name': 'node_name', 'kube_pod_name': 'pod_name', 'kube_pod_namespace': 'namespace'} + + +@pytest.mark.forked +def test_text_logger_init(environment: StrStr) -> None: + _mock_image_env(environment) + _mock_pod_env(environment) + logger.init_logging_from_config(PureBasicConfigurationProc) + logger.health("HEALTH data", extra={"metrics": "props"}) + logger.metrics("METRICS data", extra={"metrics": "props"}) + logger.warning("Warning message here") + try: + 1 / 0 + except ZeroDivisionError: + logger.process_internal_exception("DIV") + + +@pytest.mark.forked +def test_json_logger_init(environment: StrStr) -> None: + _mock_image_env(environment) + _mock_pod_env(environment) + logger.init_logging_from_config(JsonLoggerConfiguration) + # correct component was set + json_logging.COMPONENT_NAME = "logger" + logger.health("HEALTH data", extra={"metrics": "props"}) + logger.metrics("METRICS data", extra={"metrics": "props"}) + logger.warning("Warning message here") + try: + 1 / 0 + except ZeroDivisionError: + logger.process_internal_exception("DIV") + + +@pytest.mark.forked +def test_sentry_init(environment: StrStr) -> None: + _mock_image_env(environment) + _mock_pod_env(environment) + logger.init_logging_from_config(SentryLoggerConfiguration) + try: + 1 / 0 + except ZeroDivisionError: + logger.process_internal_exception("DIV") + sleep(1) + + +def test_cleanup(environment: StrStr) -> None: + # this must happen after all forked tests (problems with tests teardowns in other tests) + pass + + +def _mock_image_env(environment: StrStr) -> None: + environment["COMMIT_SHA"] = "192891" + environment["IMAGE_VERSION"] = "scale/v:112" + + +def _mock_pod_env(environment: StrStr) -> None: + environment["KUBE_NODE_NAME"] = "node_name" + environment["KUBE_POD_NAME"] = "pod_name" + environment["KUBE_POD_NAMESPACE"] = "namespace" diff --git a/tests/common/test_parser.py b/tests/common/test_parser.py new file mode 100644 index 0000000000..de6e589fde --- /dev/null +++ b/tests/common/test_parser.py @@ -0,0 +1,339 @@ +import pytest + +from dlt.common.utils import digest128, uniq_id +from dlt.common.schema import Schema + +from dlt.common.parser import _fix_field_name, _flatten, _get_child_row_hash, _unpack_row, extract + +from tests.utils import create_schema_with_name + +@pytest.fixture +def schema() -> Schema: + return Schema("default") + + +def test_fix_field_name() -> None: + assert _fix_field_name("event_value") == "event_value" + assert _fix_field_name("event value") == "event_value" + assert _fix_field_name("event-.!:value") == "event_value" + # remove leading digits + assert _fix_field_name("1event_n'") == "_event_n_" + assert _fix_field_name("123event_n'") == "_event_n_" + # all lowercase and converted to snake + assert _fix_field_name("123BaNaNa") == "_ba_na_na" + # consecutive capital letters + assert _fix_field_name("BANANA") == "banana" + assert _fix_field_name("BAN_ANA") == "ban_ana" + assert _fix_field_name("BANaNA") == "ba_na_na" + + +def test_normalizes_underscores() -> None: + assert _fix_field_name("event__value_value2____") == "event_value_value2_" + + +def test_flatten_fix_field_name() -> None: + row = { + "f-1": "! 30", + "f 2": [], + "f!3": { + "f4": "a", + "f-5": "b", + "f*6": { + "c": 7, + "c v": 8, + "c x": [] + } + } + } + flattened_row = _flatten("mock_table", row) + assert "f_1" in flattened_row + assert "f_2" in flattened_row + assert "f_3__f4" in flattened_row + assert "f_3__f_5" in flattened_row + assert "f_3__f_6__c" in flattened_row + assert "f_3__f_6__c_v" in flattened_row + assert "f_3__f_6__c_x" in flattened_row + assert "f_3" not in flattened_row + + +def test_preserve_complex_value() -> None: + row_1 = { + "value": 1 + } + flattened_row = _flatten("event_slot", row_1) + assert flattened_row["value"] == 1 + + row_2 = { + "value": {"complex": True} + } + flattened_row = _flatten("event_slot", row_2) + assert flattened_row["value"] == row_2["value"] + assert flattened_row["value__complex"] is True + + +def test_child_table_linking(schema: Schema) -> None: + row = { + "f": [{ + "l": ["a", "b", "c"], + "v": 120, + "o": [{"a": 1}, {"a": 2}] + }] + } + # request _root_hash propagation but use None to get generated record_hash + rows = list(_unpack_row(schema, row, {"_root_hash": None}, "table")) + # should have 7 entries (root + level 1 + 3 * list + 2 * object) + assert len(rows) == 7 + # root elem will not have a root hash if not explicitly added, "extend" is added only to child + root = next(t for t in rows if t[0] == "table")[1] + assert "_root_hash" not in root + assert "_parent_hash" not in root + assert "_pos" not in root + # record hash will be autogenerated + assert "_record_hash" in root + row_id = root["_record_hash"] + + # all child entries must have _root_hash == row_id + assert all(e[1]["_root_hash"] == row_id for e in rows if e[0] != "table") + # all child entries must have _record_hash + assert all("_record_hash" in e[1] for e in rows if e[0] != "table") + # all child entries must have parent hash and pos + assert all("_parent_hash" in e[1] for e in rows if e[0] != "table") + assert all("_pos" in e[1] for e in rows if e[0] != "table") + # filter 3 entries with list + list_rows = [t for t in rows if t[0] == "table__f__l"] + assert len(list_rows) == 3 + # get parent for list + f_row_v = next(t for t in rows if t[0] == "table__f")[1] + # parent of "f" must be row_id + assert f_row_v["_parent_hash"] == row_id + # all elems in the list must have proper parent + assert all(e[1]["_parent_hash"] == f_row_v["_record_hash"] for e in list_rows) + # all values are there + assert [e[1]["value"] for e in list_rows] == ["a", "b", "c"] + + +def test_child_table_linking_primary_key(schema: Schema) -> None: + row = { + "id": "level0", + "f": [{ + "id": "level1", + "l": ["a", "b", "c"], + "v": 120, + "o": [{"a": 1}, {"a": 2}] + }] + } + schema._hints = {"primary_key": ["^id$"]} + schema._compile_regexes() + + rows = list(_unpack_row(schema, row, {"_root_hash": None}, "table")) + root = next(t for t in rows if t[0] == "table")[1] + # record hash must be derived from natural key + assert root["_record_hash"] == digest128("level0") + + # table at "f" + t_f = next(t for t in rows if t[0] == "table__f")[1] + assert t_f["_record_hash"] == digest128("level1") + # we use primary key to link to parent + assert "_parent_hash" not in t_f + assert "_pos" not in t_f + assert "_root_hash" not in t_f + + list_rows = [t for t in rows if t[0] == "table__f__l"] + assert(all(e[1]["_parent_hash"] == digest128("level1") for e in list_rows)) + obj_rows = [t for t in rows if t[0] == "table__f__o"] + assert(all(e[1]["_parent_hash"] == digest128("level1") for e in obj_rows)) + + +def test_child_table_linking_compound_primary_key(schema: Schema) -> None: + row = { + "id": "level0", + "offset": 12102.45, + "f": [{ + "id": "level1", + "item_no": 8129173987192873, + "l": ["a", "b", "c"], + "v": 120, + "o": [{"a": 1}, {"a": 2}] + }] + } + schema._hints = {"primary_key": ["^id$", "^offset$", "^item_no$"]} + schema._compile_regexes() + + rows = list(_unpack_row(schema, row, {}, "table")) + root = next(t for t in rows if t[0] == "table")[1] + # record hash must be derived from natural key + assert root["_record_hash"] == digest128("level0_12102.45") + t_f = next(t for t in rows if t[0] == "table__f")[1] + assert t_f["_record_hash"] == digest128("level1_8129173987192873") + + +def test_list_position(schema: Schema) -> None: + row = { + "f": [{ + "l": ["a", "b", "c"], + "v": 120, + "lo": [{"e": "a"}, {"e": "b"}, {"e":"c"}] + }] + } + rows = list(_unpack_row(schema, row, {}, "table")) + # root has no pos + root = [t for t in rows if t[0] == "table"][0][1] + assert "_pos" not in root + + # all other have pos + others = [t for t in rows if t[0] != "table"] + assert all("_pos" in e[1] for e in others) + + # f_l must be ordered as it appears in the list + for pos, elem in enumerate(["a", "b", "c"]): + row = next(t[1] for t in rows if t[0] == "table__f__l" and t[1]["value"] == elem) + assert row["_pos"] == pos + + # f_lo must be ordered - list of objects + for pos, elem in enumerate(["a", "b", "c"]): + row = next(t[1] for t in rows if t[0] == "table__f__lo" and t[1]["e"] == elem) + assert row["_pos"] == pos + + +def test_child_row_deterministic_hash(schema: Schema) -> None: + row_id = uniq_id() + # directly set record hash so it will be adopted in unpacker as top level hash + row = { + "_record_hash": row_id, + "f": [{ + "l": ["a", "b", "c"], + "v": 120, + "lo": [{"e": "a"}, {"e": "b"}, {"e":"c"}] + }] + } + rows = list(_unpack_row(schema, row, {"_root_hash": None}, "table")) + children = [t for t in rows if t[0] != "table"] + # all hashes must be different + distinct_hashes = set([ch[1]["_record_hash"] for ch in children]) + assert len(distinct_hashes) == len(children) + + # compute hashes for all children + for table, ch in children: + expected_hash = digest128(f"{ch['_parent_hash']}_{table}_{ch['_pos']}") + assert ch["_record_hash"] == expected_hash + + # direct compute one of the + el_f = next(t[1] for t in rows if t[0] == "table__f" and t[1]["_pos"] == 0) + f_lo_p2 = next(t[1] for t in rows if t[0] == "table__f__lo" and t[1]["_pos"] == 2) + assert f_lo_p2["_record_hash"] == digest128(f"{el_f['_record_hash']}_table__f__lo_2") + + # same data with same table and row_id + rows_2 = list(_unpack_row(schema, row, {"_root_hash": "root_hash"}, "table")) + children_2 = [t for t in rows_2 if t[0] != "table"] + # corresponding hashes must be identical + assert all(ch[0][1]["_record_hash"] == ch[1][1]["_record_hash"] for ch in zip(children, children_2)) + + # change parent table and all child hashes must be different + rows_4 = list(_unpack_row(schema, row, {"_root_hash": "root_hash"}, "other_table")) + children_4 = [t for t in rows_4 if t[0] != "other_table"] + assert all(ch[0][1]["_record_hash"] != ch[1][1]["_record_hash"] for ch in zip(children, children_4)) + + # change parent hash and all child hashes must be different + row["_record_hash"] = uniq_id() + rows_3 = list(_unpack_row(schema, row, {"_root_hash": "root_hash"}, "table")) + children_3 = [t for t in rows_3 if t[0] != "table"] + assert all(ch[0][1]["_record_hash"] != ch[1][1]["_record_hash"] for ch in zip(children, children_3)) + + +def test_keeps_record_hash(schema: Schema) -> None: + h = uniq_id() + row = { + "a": "b", + "_record_hash": h + } + rows = list(_unpack_row(schema, row, {"_root_hash": "root_hash"}, "table")) + root = [t for t in rows if t[0] == "table"][0][1] + assert root["_record_hash"] == h + + +def test_propagate_context(schema: Schema) -> None: + row = {"level": 1, "list": ["a", "b", "c"], "comp": [{"_timestamp": "a"}]} + rows = list(_unpack_row(schema, row, {"_timestamp": 1238.9, "_dist_key": "SENDER_3000"}, "table")) + # context is not added to root element + root = next(t for t in rows if t[0] == "table")[1] + assert "_timestamp" not in root + assert "_dist_key" not in root + # the original _timestamp field will be overwritten in children + assert all(e[1]["_timestamp"] == 1238.9 and e[1]["_dist_key"] == "SENDER_3000" for e in rows if e[0] != "table") + + +def test_preserves_complex_types_list(schema: Schema) -> None: + row = { + "value": ["from", {"complex": True}] + } + rows = list(_unpack_row(schema, row, {}, "event_slot")) + assert len(rows) == 3 + # this is event_slot + assert rows[-1][1]["value"] == row["value"] + + +def test_extract_with_event_type() -> None: + row = { + "id": "817949077341208606", + "type": 4, + "name": "Moderation", + "position": 0, + "flags": 0, + "parent_id": None, + "guild_id": "815421435900198962", + "permission_overwrites": [] + } + # force table name + row["_event_type"] = "channel" + rows = list(extract(create_schema_with_name("discord"), row, "load_id", add_json=False)) + # table is channel + assert rows[0][0] == "channel" + unpacked_row = rows[0][1] + # _event_type must be removed + assert "_event_type" not in unpacked_row + assert unpacked_row["guild_id"] == "815421435900198962" + assert "_record_hash" in unpacked_row + assert unpacked_row["_load_id"] == "load_id" + + +def test_parse_with_primary_key() -> None: + schema = create_schema_with_name("discord") + schema._hints = {"primary_key": ["^id$"]} + schema._compile_regexes() + row = { + "id": "817949077341208606", + "w_id":[{ + "id": 9128918293891111, + "wo_id": [1, 2, 3] + }] + } + rows = list(extract(schema, row, "load_id", add_json=False)) + # get root + root = next(t[1] for t in rows if t[0] == "discord") + assert root["_record_hash"] == digest128("817949077341208606") + assert "_parent_hash" not in root + + el_w_id = next(t[1] for t in rows if t[0] == "discord__w_id") + # this also has primary key + assert el_w_id["_record_hash"] == digest128("9128918293891111") + assert "_root_hash" not in el_w_id + assert "_parent_hash" not in el_w_id + assert "_pos" not in el_w_id + + # this must have deterministic child key + f_wo_id = next(t[1] for t in rows if t[0] == "discord__w_id__wo_id" and t[1]["_pos"] == 2) + assert f_wo_id["value"] == 3 + assert f_wo_id["_root_hash"] == digest128("817949077341208606") + assert f_wo_id["_parent_hash"] == digest128("9128918293891111") + assert f_wo_id["_record_hash"] == _get_child_row_hash(digest128("9128918293891111"), "discord__w_id__wo_id", 2) + + +def test_keeps_none_values() -> None: + row = {"a": None, "timestamp": 7} + rows = list(extract(create_schema_with_name("other"), row, "1762162.1212", add_json=True)) + table_name = rows[0][0] + assert table_name == "other" + unpacked_row = rows[0][1] + assert unpacked_row["a"] is None + assert unpacked_row["_load_id"] == "1762162.1212" + assert "_event_json" in unpacked_row diff --git a/tests/common/test_runners.py b/tests/common/test_runners.py new file mode 100644 index 0000000000..768fb44543 --- /dev/null +++ b/tests/common/test_runners.py @@ -0,0 +1,259 @@ +import pytest +import multiprocessing +from prometheus_client import registry + +from dlt.common.exceptions import DltException, SignalReceivedException, TimeRangeExhaustedException, UnsupportedProcessStartMethodException +from dlt.common.configuration import PoolRunnerConfiguration +from dlt.common import runners, signals + +from tests.utils import init_logger + +class ModPoolRunnerConfiguration(PoolRunnerConfiguration): + NAME: str = "testrunners" + POOL_TYPE = "none" + RUN_SLEEP: float = 0.1 + RUN_SLEEP_IDLE: float = 0.1 + RUN_SLEEP_WHEN_FAILED: float = 0.1 + + +class StopExceptionRunnerConfiguration(ModPoolRunnerConfiguration): + EXIT_ON_EXCEPTION: bool = True + + +class LimitedPoolRunnerConfiguration(ModPoolRunnerConfiguration): + STOP_AFTER_RUNS: int = 5 + + +class ProcessPolConfiguration(ModPoolRunnerConfiguration): + POOL_TYPE = "process" + + +@pytest.fixture(scope="module", autouse=True) +def logger_autouse() -> None: + init_logger(ModPoolRunnerConfiguration) + + +@pytest.fixture(autouse=True) +def default_args() -> None: + signals._received_signal = 0 + runners.RUN_ARGS = runners.TRunArgs(True, 1) + runners.create_gauges(registry.CollectorRegistry(auto_describe=True)) + + +# test runner functions +def idle_run(pool: None) -> runners.TRunMetrics: + return runners.TRunMetrics(True, False, 0) + + +def non_idle_run(pool: None) -> runners.TRunMetrics: + return runners.TRunMetrics(False, False, 0) + + +def short_workload_run(pool: None) -> runners.TRunMetrics: + # 2 idle runs -> 2 pending runs -> 1 idle run - should be the last + gauges = runners.update_gauges() + if gauges["runs_count"] < 3 or gauges["runs_count"] > 4: + return runners.TRunMetrics(True, False, 0) + return runners.TRunMetrics(False, False, 1) + + +def failing_run(pool: None) -> runners.TRunMetrics: + raise DltException() + + +def good_then_failing_run(pool: None) -> runners.TRunMetrics: + # 2 good runs, then failing + gauges = runners.update_gauges() + if gauges["runs_count"] < 3: + return runners.TRunMetrics(False, False, 1) + raise DltException() + + +def failing_then_good_run(pool: None) -> runners.TRunMetrics: + # 2 good runs, then failing + gauges = runners.update_gauges() + if gauges["runs_count"] < 3: + raise DltException() + + return runners.TRunMetrics(False, False, 1) + + +def signal_exception_run(pool: None) -> runners.TRunMetrics: + signals._received_signal = 9 + raise SignalReceivedException(9) + + +def timerange_exhausted_run(pool: None) -> runners.TRunMetrics: + raise TimeRangeExhaustedException(1575314188.1735284, 1575314288.8058035) + + +def signal_pending_run(pool: None) -> runners.TRunMetrics: + signals._received_signal = 9 + # normal processing + return runners.TRunMetrics(False, False, 1) + + +def test_single_idle_run() -> None: + code = runners.pool_runner(ModPoolRunnerConfiguration, idle_run) + assert code == 0 + assert runners.update_gauges() == { + "runs_count": 1, + "runs_not_idle_count": 0, + "runs_healthy_count": 1, + "runs_cs_healthy_gauge": 1, + "runs_failed_count": 0, + "runs_cs_failed_gauge": 0, + "runs_pending_items_gauge": 0 + } + + +def test_single_failing_run() -> None: + code = runners.pool_runner(ModPoolRunnerConfiguration, failing_run) + assert code == 0 + assert runners.update_gauges() == { + "runs_count": 1, + "runs_not_idle_count": 0, + "runs_healthy_count": 0, + "runs_cs_healthy_gauge": 0, + "runs_failed_count": 1, + "runs_cs_failed_gauge": 1, + "runs_pending_items_gauge": -1 + } + + +def test_good_then_failing_run() -> None: + runners.RUN_ARGS = runners.TRunArgs(False, 0) + # end after 5 runs + code = runners.pool_runner(LimitedPoolRunnerConfiguration, good_then_failing_run) + assert code == -2 + assert runners.update_gauges() == { + "runs_count": 5, + "runs_not_idle_count": 2, + "runs_healthy_count": 2, + "runs_cs_healthy_gauge": 0, + "runs_failed_count": 3, + "runs_cs_failed_gauge": 3, + "runs_pending_items_gauge": -1 + } + + +def test_failing_then_good_run() -> None: + runners.RUN_ARGS = runners.TRunArgs(False, 0) + # end after 5 runs + code = runners.pool_runner(LimitedPoolRunnerConfiguration, failing_then_good_run) + assert code == -2 + assert runners.update_gauges() == { + "runs_count": 5, + "runs_not_idle_count": 3, + "runs_healthy_count": 3, + "runs_cs_healthy_gauge": 3, + "runs_failed_count": 2, + "runs_cs_failed_gauge": 0, + "runs_pending_items_gauge": 1 + } + + +def test_stop_on_exception() -> None: + runners.RUN_ARGS = runners.TRunArgs(False, 0) + code = runners.pool_runner(StopExceptionRunnerConfiguration, good_then_failing_run) + assert code == -1 + assert runners.update_gauges() == { + "runs_count": 3, + "runs_not_idle_count": 2, + "runs_healthy_count": 2, + "runs_cs_healthy_gauge": 0, + "runs_failed_count": 1, + "runs_cs_failed_gauge": 1, + "runs_pending_items_gauge": -1 + } + + +def test_stop_on_signal_pending_run() -> None: + runners.RUN_ARGS = runners.TRunArgs(False, 0) + code = runners.pool_runner(StopExceptionRunnerConfiguration, signal_pending_run) + assert code == 9 + assert runners.update_gauges() == { + "runs_count": 1, + "runs_not_idle_count": 1, + "runs_healthy_count": 1, + "runs_cs_healthy_gauge": 1, + "runs_failed_count": 0, + "runs_cs_failed_gauge": 0, + "runs_pending_items_gauge": 1 + } + + +def test_stop_after_max_runs() -> None: + runners.RUN_ARGS = runners.TRunArgs(False, 0) + # end after 5 runs + code = runners.pool_runner(LimitedPoolRunnerConfiguration, failing_then_good_run) + assert code == -2 + assert runners.update_gauges()["runs_count"] == 5 + + +def test_signal_exception_run() -> None: + runners.RUN_ARGS = runners.TRunArgs(False, 0) + code = runners.pool_runner(ModPoolRunnerConfiguration, signal_exception_run) + assert code == 9 + assert runners.update_gauges() == { + "runs_count": 1, + "runs_not_idle_count": 0, + "runs_healthy_count": 0, + "runs_cs_healthy_gauge": 0, + "runs_failed_count": 0, + "runs_cs_failed_gauge": 0, + "runs_pending_items_gauge": 0 + } + + +def test_timerange_exhausted_run() -> None: + runners.RUN_ARGS = runners.TRunArgs(False, 0) + code = runners.pool_runner(ModPoolRunnerConfiguration, timerange_exhausted_run) + assert code == 0 + assert runners.update_gauges() == { + "runs_count": 1, + "runs_not_idle_count": 0, + "runs_healthy_count": 0, + "runs_cs_healthy_gauge": 0, + "runs_failed_count": 0, + "runs_cs_failed_gauge": 0, + "runs_pending_items_gauge": 0 + } + + +def test_single_non_idle_run() -> None: + code = runners.pool_runner(ModPoolRunnerConfiguration, non_idle_run) + assert code == 0 + assert runners.update_gauges() == { + "runs_count": 1, + "runs_not_idle_count": 1, + "runs_healthy_count": 1, + "runs_cs_healthy_gauge": 1, + "runs_failed_count": 0, + "runs_cs_failed_gauge": 0, + "runs_pending_items_gauge": 0 + } + + +def test_single_run_short_wl() -> None: + # so we get into pending but not past it + runners.RUN_ARGS = runners.TRunArgs(True, 3) + code = runners.pool_runner(ModPoolRunnerConfiguration, short_workload_run) + assert code == 0 + assert runners.update_gauges() == { + "runs_count": 5, + "runs_not_idle_count": 2, + "runs_healthy_count": 5, + "runs_cs_healthy_gauge": 5, + "runs_failed_count": 0, + "runs_cs_failed_gauge": 0, + "runs_pending_items_gauge": 0 + } + + +@pytest.mark.forked +def test_spawn_pool() -> None: + multiprocessing.set_start_method("spawn", force=True) + with pytest.raises(UnsupportedProcessStartMethodException) as exc: + runners.pool_runner(ProcessPolConfiguration, idle_run) + assert exc.value.method == "spawn" diff --git a/tests/common/test_schema.py b/tests/common/test_schema.py new file mode 100644 index 0000000000..84b59a52ff --- /dev/null +++ b/tests/common/test_schema.py @@ -0,0 +1,572 @@ +from copy import deepcopy +from typing import List, Sequence +import pytest +import os + +from dlt.common import json, pendulum, Decimal +from dlt.common.typing import StrAny +from dlt.common.utils import uniq_id +from dlt.common.schema import CannotCoerceColumnException, CannotCoerceNullException, Column, Schema, SchemaEngineNoUpgradePathException, StoredSchema, Table +from dlt.common.storages import SchemaStorage +from tests.common.utils import load_json_case + +from tests.utils import TEST_STORAGE + +schema_storage = SchemaStorage(TEST_STORAGE, makedirs=True) + +SCHEMA_NAME = "event" +EXPECTED_FILE_NAME = f"{SCHEMA_NAME}_schema.json" + + +@pytest.fixture +def schema() -> Schema: + return Schema("event") + + +@pytest.fixture(autouse=True) +def auto_delete_storage() -> None: + delete_storage() + + +def test_new_schema(schema: Schema) -> None: + assert schema.schema_name == "event" + assert schema.schema_version == 1 + assert schema.ENGINE_VERSION == 2 + assert schema._preferred_types == {} + assert schema._excludes == [] + assert schema._includes == [] + tables = schema.schema_tables + assert "_version" in tables + assert "version" in tables["_version"] + assert "_loads" in tables + assert "load_id" in tables["_loads"] + + +@pytest.mark.parametrize("columns,hint,value", [ + (["_record_hash", "_root_hash", "_load_id", "_parent_hash", "_pos"], "nullable", False), + (["_record_hash"], "unique", True), + (["_parent_hash"], "foreign_key", True), +]) +def test_new_schema_hints(columns: Sequence[str], hint: str, value: bool) -> None: + schema_storage = SchemaStorage("tests/common/cases/schemas/rasa") + schema = schema_storage.load_store_schema("event") + for name in columns: + # infer column hints + c = schema._infer_column(name, "x") + assert c[hint] is value + + +def test_new_schema_alt_name() -> None: + schema = Schema("model") + assert schema.schema_name == "model" + + +def test_save_store_schema(schema: Schema) -> None: + assert not schema_storage.storage.has_file(EXPECTED_FILE_NAME) + saved_file_name = schema_storage.save_store_schema(schema) + # return absolute path + assert saved_file_name == schema_storage.storage._make_path(EXPECTED_FILE_NAME) + assert schema_storage.storage.has_file(EXPECTED_FILE_NAME) + schema_copy = schema_storage.load_store_schema("event") + assert schema.schema_name == schema_copy.schema_name + assert schema.schema_version == schema_copy.schema_version + + +def test_save_folder_schema(schema: Schema) -> None: + # mock schema version to some random number so we know we load what we save + schema._version = 762171 + + schema_storage.storage.create_folder("copy") + saved_file_name = schema_storage.save_folder_schema(schema, "copy") + assert saved_file_name.endswith(os.path.join(TEST_STORAGE, "copy", SchemaStorage.FOLDER_SCHEMA_FILE)) + assert schema_storage.storage.has_file(f"copy/{SchemaStorage.FOLDER_SCHEMA_FILE}") + schema_copy = schema_storage.load_folder_schema("copy") + assert schema.schema_version == schema_copy.schema_version + + +def test_load_engine_v1_schema() -> None: + schema_dict: StoredSchema = load_json_case("schemas/ev1/event_schema") + # ensure engine v1 + assert schema_dict["engine_version"] == 1 + # schema_dict will be updated to new engine version + schema = Schema.from_dict(schema_dict) + assert schema_dict["engine_version"] == 2 + # we have 27 tables + assert len(schema._schema_tables) == 27 + # serialized schema must be same + assert schema_dict == schema.to_dict() + + +def test_unknown_engine_upgrade() -> None: + schema_dict: StoredSchema = load_json_case("schemas/ev1/event_schema") + # there's no path to migrate 3 -> 2 + schema_dict["engine_version"] = 3 + with pytest.raises(SchemaEngineNoUpgradePathException): + Schema._upgrade_engine_version(schema_dict, 3, 2) + + +def test_preserve_column_order(schema: Schema) -> None: + # python dicts are ordered from v3.6, add 50 column with random names + update: List[Column] = [schema._infer_column(uniq_id(), pendulum.now().timestamp()) for _ in range(50)] + schema.update_schema("event_test_order", update) + + def verify_items(table, update) -> None: + assert [i[0] for i in table.items()] == list(table.keys()) == [u["name"] for u in update] + assert [i[1] for i in table.items()] == list(table.values()) == update + + table = schema.get_table("event_test_order") + verify_items(table, update) + # save and load + schema_storage.save_store_schema(schema) + loaded_schema = schema_storage.load_store_schema("event") + table = loaded_schema.get_table("event_test_order") + verify_items(table, update) + # add more columns + update2: List[Column] = [schema._infer_column(uniq_id(), pendulum.now().timestamp()) for _ in range(50)] + loaded_schema.update_schema("event_test_order", update2) + table = loaded_schema.get_table("event_test_order") + verify_items(table, update + update2) + # save and load + schema_storage.save_store_schema(loaded_schema) + loaded_schema = schema_storage.load_store_schema("event") + table = loaded_schema.get_table("event_test_order") + verify_items(table, update + update2) + + +def test_get_schema_new_exist() -> None: + with pytest.raises(FileNotFoundError): + schema_storage.load_store_schema("wrongschema") + + with pytest.raises(FileNotFoundError): + schema_storage.load_folder_schema(".") + + +def test_coerce_type() -> None: + # same type coercion + assert Schema._coerce_type("double", "double", 8721.1) == 8721.1 + # anything into text + assert Schema._coerce_type("text", "bool", False) == str(False) + + +def test_coerce_type_float() -> None: + # bigint into float + assert Schema._coerce_type("double", "bigint", 762162) == 762162.0 + # text into float if parsable + assert Schema._coerce_type("double", "text", " -1726.1288 ") == -1726.1288 + + +def test_coerce_type_integer() -> None: + # bigint/wei type + assert Schema._coerce_type("bigint", "text", " -1726 ") == -1726 + assert Schema._coerce_type("wei", "text", " -1726 ") == -1726 + assert Schema._coerce_type("bigint", "double", 1276.0) == 1276 + assert Schema._coerce_type("wei", "double", 1276.0) == 1276 + assert Schema._coerce_type("wei", "decimal", Decimal(1276.0)) == 1276 + assert Schema._coerce_type("bigint", "decimal", 1276.0) == 1276 + # float into bigint raises + with pytest.raises(ValueError): + Schema._coerce_type("bigint", "double", 912.12) + with pytest.raises(ValueError): + Schema._coerce_type("wei", "double", 912.12) + # decimal (non integer) also raises + with pytest.raises(ValueError): + Schema._coerce_type("bigint", "decimal", Decimal(912.12)) + with pytest.raises(ValueError): + Schema._coerce_type("wei", "decimal", Decimal(912.12)) + # non parsable floats and ints + with pytest.raises(ValueError): + Schema._coerce_type("bigint", "text", "f912.12") + with pytest.raises(ValueError): + Schema._coerce_type("double", "text", "a912.12") + + +def test_coerce_type_decimal() -> None: + # decimal type + assert Schema._coerce_type("decimal", "text", " -1726 ") == Decimal("-1726") + # we keep integer if value is integer + assert Schema._coerce_type("decimal", "bigint", -1726) == -1726 + assert Schema._coerce_type("decimal", "double", 1276.0) == Decimal("1276") + + +def test_coerce_type_from_hex_text() -> None: + # hex text into various types + assert Schema._coerce_type("wei", "text", " 0xff") == 255 + assert Schema._coerce_type("bigint", "text", " 0xff") == 255 + assert Schema._coerce_type("decimal", "text", " 0xff") == Decimal(255) + assert Schema._coerce_type("double", "text", " 0xff") == 255.0 + + +def test_coerce_type_timestamp() -> None: + # timestamp cases + assert Schema._coerce_type("timestamp", "text", " 1580405246 ") == "2020-01-30T17:27:26+00:00" + # the tenths of microseconds will be ignored + assert Schema._coerce_type("timestamp", "double", 1633344898.7415245) == "2021-10-04T10:54:58.741524+00:00" + # if text is ISO string it will be coerced + assert Schema._coerce_type("timestamp", "text", "2022-05-10T03:41:31.466000+00:00") == "2022-05-10T03:41:31.466000+00:00" + # non parsable datetime + with pytest.raises(ValueError): + Schema._coerce_type("timestamp", "text", "2022-05-10T03:41:31.466000X+00:00") + + +def test_coerce_type_binary() -> None: + # from hex string + assert Schema._coerce_type("binary", "text", "0x30") == b'0' + # from base64 + assert Schema._coerce_type("binary", "text", "YmluYXJ5IHN0cmluZw==") == b'binary string' + # int into bytes + assert Schema._coerce_type("binary", "bigint", 15) == b"\x0f" + # can't into double + with pytest.raises(ValueError): + Schema._coerce_type("binary", "double", 912.12) + # can't broken base64 + with pytest.raises(ValueError): + assert Schema._coerce_type("binary", "text", "!YmluYXJ5IHN0cmluZw==") + + +def test_coerce_type_complex() -> None: + # dicts and lists should be coerced into strings automatically + v_list = [1, 2, "3", {"complex": True}] + v_dict = {"list": [1, 2], "str": "complex"} + assert Schema._py_type_to_sc_type(type(v_list)) == "complex" + assert Schema._py_type_to_sc_type(type(v_dict)) == "complex" + assert Schema._coerce_type("complex", "complex", v_dict) is v_dict + assert Schema._coerce_type("complex", "complex", v_list) is v_list + assert Schema._coerce_type("text", "complex", v_dict) == json.dumps(v_dict) + assert Schema._coerce_type("text", "complex", v_list) == json.dumps(v_list) + + +def test_get_preferred_type(schema: Schema) -> None: + _add_preferred_types(schema) + + assert "timestamp" in map(lambda m: m[1], schema._compiled_preferred_types) + assert "double" in map(lambda m: m[1], schema._compiled_preferred_types) + + assert schema._get_preferred_type("timestamp") == "timestamp" + assert schema._get_preferred_type("value") == "wei" + assert schema._get_preferred_type("timestamp_confidence_entity") == "double" + assert schema._get_preferred_type("_timestamp") is None + + +def test_map_column_preferred_type(schema: Schema) -> None: + _add_preferred_types(schema) + # preferred type match + assert schema._map_value_to_column_type(1278712.0, "confidence") == "double" + # preferred type can be coerced + assert schema._map_value_to_column_type(1278712, "confidence") == "double" + assert schema._map_value_to_column_type("18271", "confidence") == "double" + # timestamp from coercable type + assert schema._map_value_to_column_type(18271, "timestamp") == "timestamp" + assert schema._map_value_to_column_type("18271.11", "timestamp") == "timestamp" + assert schema._map_value_to_column_type("2022-05-10T00:54:38.237000+00:00", "timestamp") == "timestamp" + + # value should be wei + assert schema._map_value_to_column_type(" 0xfe ", "value") == "wei" + # number should be decimal + assert schema._map_value_to_column_type(" -0.821 ", "number") == "decimal" + + +def test_map_column_type(schema: Schema) -> None: + # default mappings + assert schema._map_value_to_column_type("18271.11", "_column_name") == "text" + assert schema._map_value_to_column_type(["city"], "_column_name") == "text" + assert schema._map_value_to_column_type(0x72, "_column_name") == "bigint" + assert schema._map_value_to_column_type(0x72, "_column_name") == "bigint" + assert schema._map_value_to_column_type(b"bytes str", "_column_name") == "binary" + assert schema._map_value_to_column_type(b"bytes str", "_column_name") == "binary" + + +def test_map_column_type_complex(schema: Schema) -> None: + # complex type mappings + v_list = [1, 2, "3", {"complex": True}] + v_dict = {"list": [1, 2], "str": "complex"} + # complex types must be cast to text + assert schema._map_value_to_column_type(v_list, "cx_value") == "text" + assert schema._map_value_to_column_type(v_dict, "cx_value") == "text" + + +def test_coerce_row(schema: Schema) -> None: + _add_preferred_types(schema) + timestamp_float = 78172.128 + timestamp_str = "1970-01-01T21:42:52.128000+00:00" + # add new column with preferred + row_1 = {"timestamp": timestamp_float, "confidence": "0.1", "value": "0xFF", "number": Decimal("128.67")} + new_row_1, new_columns = schema.coerce_row("event_user", row_1) + assert new_columns[0]["data_type"] == "timestamp" + assert new_columns[0]["name"] == "timestamp" + assert new_columns[1]["data_type"] == "double" + assert new_columns[2]["data_type"] == "wei" + assert new_columns[3]["data_type"] == "decimal" + # also rows values should be coerced (confidence) + assert new_row_1 == {"timestamp": timestamp_str, "confidence": 0.1, "value": 255, "number": Decimal("128.67")} + + # update schema + schema.update_schema("event_user", new_columns) + + # no coercion on confidence + row_2 = {"timestamp": timestamp_float, "confidence": 0.18721} + new_row_2, new_columns = schema.coerce_row("event_user", row_2) + assert new_columns == [] + assert new_row_2 == {"timestamp": timestamp_str, "confidence": 0.18721} + + # all coerced + row_3 = {"timestamp": "78172.128", "confidence": 1} + new_row_3, new_columns = schema.coerce_row("event_user", row_3) + assert new_columns == [] + assert new_row_3 == {"timestamp": timestamp_str, "confidence": 1.0} + + # create variant column where variant column will have preferred + # variant column should not be checked against preferred + row_4 = {"timestamp": "78172.128", "confidence": "STR"} + new_row_4, new_columns = schema.coerce_row("event_user", row_4) + assert new_columns[0]["data_type"] == "text" + assert new_columns[0]["name"] == "confidence_v_text" + assert new_row_4 == {"timestamp": timestamp_str, "confidence_v_text": "STR"} + schema.update_schema("event_user", new_columns) + + # add against variant + new_row_4, new_columns = schema.coerce_row("event_user", row_4) + assert new_columns == [] + assert new_row_4 == {"timestamp": timestamp_str, "confidence_v_text": "STR"} + + # another variant + new_row_5, new_columns = schema.coerce_row("event_user", {"confidence": False}) + assert new_columns[0]["data_type"] == "bool" + assert new_columns[0]["name"] == "confidence_v_bool" + assert new_row_5 == {"confidence_v_bool": False} + schema.update_schema("event_user", new_columns) + + # variant column clashes with existing column + _, new_columns = schema.coerce_row("event_user", {"new_colbool": False, "new_colbool_v_bigint": "not bigint"}) + schema.update_schema("event_user", new_columns) + with pytest.raises(CannotCoerceColumnException): + schema.coerce_row("event_user", {"new_colbool": 123}) + + +def test_coerce_row_iso_timestamp(schema: Schema) -> None: + _add_preferred_types(schema) + timestamp_str = "2022-05-10T00:17:15.300000+00:00" + # will generate timestamp type + row_1 = {"timestamp": timestamp_str} + _, new_columns = schema.coerce_row("event_user", row_1) + assert new_columns[0]["data_type"] == "timestamp" + assert new_columns[0]["name"] == "timestamp" + schema.update_schema("event_user", new_columns) + + # will coerce float + row_2 = {"timestamp": 78172.128} + _, new_columns = schema.coerce_row("event_user", row_2) + # no new columns + assert new_columns == [] + + # will generate variant + row_3 = {"timestamp": "übermorgen"} + _, new_columns = schema.coerce_row("event_user", row_3) + assert new_columns[0]["name"] == "timestamp_v_text" + + +def test_coerce_complex_variant(schema: Schema) -> None: + # create two columns to which complex type cannot be coerced + row = {"floatX": 78172.128, "confidenceX": 1.2, "strX": "STR"} + new_row, new_columns = schema.coerce_row("event_user", row) + assert new_row == row + schema.update_schema("event_user", new_columns) + + # add two more complex columns that should be coerced to text + v_list = [1, 2, "3", {"complex": True}] + v_dict = {"list": [1, 2], "str": "complex"} + c_row = {"c_list": v_list, "c_dict": v_dict} + c_new_row, c_new_columns = schema.coerce_row("event_user", c_row) + assert c_new_columns[0]["name"] == "c_list" + assert c_new_columns[0]["data_type"] == "text" + assert c_new_columns[1]["name"] == "c_dict" + assert c_new_columns[1]["data_type"] == "text" + assert c_new_row["c_list"] == json.dumps(v_list) + schema.update_schema("event_user", c_new_columns) + + # add same row again + c_new_row, c_new_columns = schema.coerce_row("event_user", c_row) + assert not c_new_columns + assert c_new_row["c_dict"] == json.dumps(v_dict) + + # add complex types on the same columns + c_row_v = {"floatX": v_list, "confidenceX": v_dict, "strX": v_dict} + # expect two new variant columns to be created + c_new_row_v, c_new_columns_v = schema.coerce_row("event_user", c_row_v) + # two new variant columns added + assert len(c_new_columns_v) == 2 + assert c_new_columns_v[0]["name"] == "floatX_v_text" + assert c_new_columns_v[1]["name"] == "confidenceX_v_text" + assert c_new_row_v["floatX_v_text"] == json.dumps(v_list) + assert c_new_row_v["confidenceX_v_text"] == json.dumps(v_dict) + assert c_new_row_v["strX"] == json.dumps(v_dict) + schema.update_schema("event_user", c_new_columns_v) + + # add that row again + c_row_v = {"floatX": v_list, "confidenceX": v_dict, "strX": v_dict} + c_new_row_v, c_new_columns_v = schema.coerce_row("event_user", c_row_v) + assert not c_new_columns_v + assert c_new_row_v["floatX_v_text"] == json.dumps(v_list) + assert c_new_row_v["confidenceX_v_text"] == json.dumps(v_dict) + assert c_new_row_v["strX"] == json.dumps(v_dict) + + +def test_corece_new_null_value(schema: Schema) -> None: + row = {"timestamp": None} + new_row, new_columns = schema.coerce_row("event_user", row) + assert "timestamp" not in new_row + # columns were not created + assert len(new_columns) == 0 + + +def test_corece_null_value_over_existing(schema: Schema) -> None: + row = {"timestamp": 82178.1298812} + new_row, new_columns = schema.coerce_row("event_user", row) + schema.update_schema("event_user", new_columns) + row = {"timestamp": None} + new_row, _ = schema.coerce_row("event_user", row) + assert "timestamp" not in new_row + + +def test_corece_null_value_over_not_null(schema: Schema) -> None: + row = {"timestamp": 82178.1298812} + new_row, new_columns = schema.coerce_row("event_user", row) + schema.update_schema("event_user", new_columns) + schema.get_table("event_user")["timestamp"]["nullable"] = False + row = {"timestamp": None} + with pytest.raises(CannotCoerceNullException): + schema.coerce_row("event_user", row) + + +@pytest.mark.parametrize("columns,hint,value", [ + (["timestamp", "_timestamp", "_dist_key", "_record_hash", "_root_hash", "_load_id", "_parent_hash", "_pos", "sender_id"], "nullable", False), + (["confidence", "_sender_id"], "nullable", True), + (["timestamp", "_timestamp"], "partition", True), + (["_dist_key", "sender_id"], "cluster", True), + (["_record_hash"], "unique", True), + (["_parent_hash"], "foreign_key", True), + (["timestamp", "_timestamp"], "sort", True), +]) +def test_rasa_event_hints(columns: Sequence[str], hint: str, value: bool) -> None: + schema_storage = SchemaStorage("tests/common/cases/schemas/rasa") + schema = schema_storage.load_store_schema("event") + for name in columns: + # infer column hints + c = schema._infer_column(name, "x") + assert c[hint] is value + + +def test_row_field_filter(schema: Schema) -> None: + schema = _add_excludes(schema) + bot_case: StrAny = load_json_case("mod_bot_case") + filtered_case = schema.filter_row("event_bot", deepcopy(bot_case), "__") + # metadata, is_flagged and data should be eliminated + ref_case = deepcopy(bot_case) + del ref_case["metadata"] + del ref_case["is_flagged"] + del ref_case["data"] + del ref_case["data__custom__goes"] + del ref_case["custom_data"] + assert ref_case == filtered_case + # one of the props was included form the excluded (due to ^event_bot__data__custom$) + assert ref_case["data__custom"] == "remains" + + +def test_whole_row_filter(schema: Schema) -> None: + schema = _add_excludes(schema) + bot_case: StrAny = load_json_case("mod_bot_case") + # the whole row should be eliminated if the exclude matches all the rows + filtered_case = schema.filter_row("event_bot__metadata", deepcopy(bot_case)["metadata"], "__") + assert filtered_case == {} + # also child rows will be excluded + filtered_case = schema.filter_row("event_bot__metadata__user", deepcopy(bot_case)["metadata"], "__") + assert filtered_case == {} + + +def test_whole_row_filter_with_exception(schema: Schema) -> None: + schema = _add_excludes(schema) + bot_case: StrAny = load_json_case("mod_bot_case") + # whole row will be eliminated + filtered_case = schema.filter_row("event_bot__custom_data", deepcopy(bot_case)["custom_data"], "__") + # mind that path event_bot__custom_data__included_object was also eliminated + assert filtered_case == {} + # this child of the row has exception (^event_bot__custom_data__included_object__ - the __ at the end select all childern but not the parent) + filtered_case = schema.filter_row("event_bot__custom_data__included_object", deepcopy(bot_case)["custom_data"]["included_object"], "__") + assert filtered_case == bot_case["custom_data"]["included_object"] + filtered_case = schema.filter_row("event_bot__custom_data__excluded_path", deepcopy(bot_case)["custom_data"]["excluded_path"], "__") + assert filtered_case == {} + + +def test_filter_hints_table() -> None: + schema_dict: StoredSchema = load_json_case("schemas/ev1/event_schema") + schema = Schema.from_dict(schema_dict) + # get all not_null columns on event + bot_case: StrAny = load_json_case("mod_bot_case") + rows = schema.filter_hints_in_row("event_bot", "not_null", bot_case) + # timestamp must be first because it is first on the column list + assert list(rows.keys()) == ["timestamp", "sender_id"] + + # add _root_hash + bot_case["_root_hash"] = uniq_id() + rows = schema.filter_hints_in_row("event_bot", "not_null", bot_case) + assert list(rows.keys()) == ["timestamp", "sender_id", "_root_hash"] + + # other hints + rows = schema.filter_hints_in_row("event_bot", "partition", bot_case) + assert list(rows.keys()) == ["timestamp"] + rows = schema.filter_hints_in_row("event_bot", "cluster", bot_case) + assert list(rows.keys()) == ["sender_id"] + rows = schema.filter_hints_in_row("event_bot", "sort", bot_case) + assert list(rows.keys()) == ["timestamp"] + rows = schema.filter_hints_in_row("event_bot", "primary_key", bot_case) + assert list(rows.keys()) == [] + bot_case["_record_hash"] = uniq_id() + rows = schema.filter_hints_in_row("event_bot", "primary_key", bot_case) + assert list(rows.keys()) == ["_record_hash"] + + +def test_filter_hints_no_table() -> None: + schema_storage = SchemaStorage("tests/common/cases/schemas/rasa") + schema = schema_storage.load_store_schema("event") + bot_case: StrAny = load_json_case("mod_bot_case") + rows = schema.filter_hints_in_row("event_bot", "not_null", bot_case) + # must be exactly in order of fields in row: timestamp is first + assert list(rows.keys()) == ["timestamp", "sender_id"] + + rows = schema.filter_hints_in_row("event_bot", "primary_key", bot_case) + assert list(rows.keys()) == [] + + # infer table, update schema + coerced_row, update = schema.coerce_row("event_bot", bot_case) + schema.update_schema("event_bot", update) + assert schema.get_table("event_bot") is not None + + # make sure the column order is the same when inferring from newly created table + rows = schema.filter_hints_in_row("event_bot", "not_null", coerced_row) + assert list(rows.keys()) == ["timestamp", "sender_id"] + + +def _add_excludes(schema: Schema) -> None: + schema._excludes = ["^event_bot__metadata", "^event_bot__is_flagged$", "^event_bot__data", "^event_bot__custom_data"] + schema._includes = ["^event_bot__data__custom$", "^event_bot__custom_data__included_object__"] + schema_storage.save_store_schema(schema) + return schema_storage.load_store_schema("event") + + +def _add_preferred_types(schema: Schema) -> None: + schema._preferred_types["^timestamp$"] = "timestamp" + # any column with confidence should be float + schema._preferred_types["confidence"] = "double" + # value should be wei + schema._preferred_types["^value$"] = "wei" + # number should be decimal + schema._preferred_types["^number$"] = "decimal" + + schema._compile_regexes() + + +def delete_storage() -> None: + files = schema_storage.storage.list_folder_files(".") + for file in files: + schema_storage.storage.delete(file) + if schema_storage.storage.has_folder("copy"): + schema_storage.storage.delete_folder("copy", recursively=True) \ No newline at end of file diff --git a/tests/common/test_signals.py b/tests/common/test_signals.py new file mode 100644 index 0000000000..f58f42325c --- /dev/null +++ b/tests/common/test_signals.py @@ -0,0 +1,94 @@ +import os +import pytest +import time +from multiprocessing.dummy import Process + +from dlt.common import signals +from dlt.common.time import sleep +from dlt.common.exceptions import SignalReceivedException + + +@pytest.fixture(autouse=True) +def clear_signal() -> None: + yield + signals.exit_event.clear() + signals._received_signal = 0 + + +def test_sleep() -> None: + start = time.time() + sleep(0.5) + assert time.time() - start - 0.5 < 0.01 + + +def test_sleep_raises_if_signalled() -> None: + signals.signal_receiver(4, None) + with pytest.raises(SignalReceivedException) as exc: + sleep(0.1) + assert exc.value.signal_code == 4 + + +def test_signal_receiver() -> None: + signals.signal_receiver(8, None) + assert signals._received_signal == 8 + # second signal gets ignored + signals.signal_receiver(4, None) + assert signals._received_signal == 8 + + +def test_raise_if_signalled() -> None: + signals.raise_if_signalled() + signals.signal_receiver(8, None) + with pytest.raises(SignalReceivedException) as exc: + signals.raise_if_signalled() + assert exc.value.signal_code == 8 + + +def test_sleep_signal() -> None: + + thread_signal = 0 + + def _thread() -> None: + nonlocal thread_signal + + try: + # this will sleep on exit event forever + sleep(1000000) + except SignalReceivedException as siex: + thread_signal = siex.signal_code + + p = Process(target=_thread) + p.start() + time.sleep(0.1) + # this sets exit event + signals.signal_receiver(4, None) + p.join() + assert thread_signal == 4 + + +@pytest.mark.forked +def test_signalling() -> None: + signals.register_signals() + + thread_signal = 0 + + def _thread() -> None: + nonlocal thread_signal + + try: + # this will sleep on exit event forever + sleep(1000000) + except SignalReceivedException as siex: + thread_signal = siex.signal_code + + p = Process(target=_thread) + p.start() + + # now signal to itself + os.kill(os.getpid(), signals.signal.SIGTERM) + # handler is executed in the main thread (here) + with pytest.raises(SignalReceivedException) as exc: + signals.raise_if_signalled() + assert exc.value.signal_code == 15 + p.join() + assert thread_signal == 15 diff --git a/tests/common/test_time.py b/tests/common/test_time.py new file mode 100644 index 0000000000..b763b85cde --- /dev/null +++ b/tests/common/test_time.py @@ -0,0 +1,25 @@ +from dlt.common.time import timestamp_before, timestamp_within + + +def test_timestamp_within() -> None: + assert timestamp_within(1643470504.782716, 1643470504.782716, 1643470504.782716) is False + # true for all timestamps + assert timestamp_within(1643470504.782716, None, None) is True + # upper bound inclusive + assert timestamp_within(1643470504.782716, None, 1643470504.782716) is True + # lower bound exclusive + assert timestamp_within(1643470504.782716, 1643470504.782716, None) is False + assert timestamp_within(1643470504.782716, 1643470504.782715, None) is True + assert timestamp_within(1643470504.782716, 1643470504.782715, 1643470504.782716) is True + # typical case + assert timestamp_within(1643470504.782716, 1543470504.782716, 1643570504.782716) is True + + +def test_before() -> None: + # True for all timestamps + assert timestamp_before(1643470504.782716, None) is True + # inclusive + assert timestamp_before(1643470504.782716, 1643470504.782716) is True + # typical cases + assert timestamp_before(1643470504.782716, 1643470504.782717) is True + assert timestamp_before(1643470504.782716, 1643470504.782715) is False diff --git a/tests/common/test_utils.py b/tests/common/test_utils.py new file mode 100644 index 0000000000..8ae6559149 --- /dev/null +++ b/tests/common/test_utils.py @@ -0,0 +1,13 @@ +import pytest + +from dlt.common.utils import flatten_list_of_str_or_dicts + + +def test_flatten_list_of_str_or_dicts() -> None: + l_d = [{"a": "b"}, "c", 1, [2]] + d_d = flatten_list_of_str_or_dicts(l_d) + assert d_d == {"a": "b", "c": None, "1": None, "[2]": None} + # key clash + l_d = [{"a": "b"}, "a"] + with pytest.raises(KeyError): + d_d = flatten_list_of_str_or_dicts(l_d) diff --git a/tests/common/utils.py b/tests/common/utils.py new file mode 100644 index 0000000000..deb1b4b5d8 --- /dev/null +++ b/tests/common/utils.py @@ -0,0 +1,12 @@ +from typing import Mapping, cast + +from dlt.common import json + + +def load_json_case(name: str) -> Mapping: + with open(json_case_path(name), "tr") as f: + return cast(Mapping, json.load(f)) + + +def json_case_path(name: str) -> str: + return f"./tests/common/cases/{name}.json" diff --git a/tests/dbt_runner/__init__.py b/tests/dbt_runner/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/dbt_runner/cases/profiles.yml b/tests/dbt_runner/cases/profiles.yml new file mode 100644 index 0000000000..c1df61b7fa --- /dev/null +++ b/tests/dbt_runner/cases/profiles.yml @@ -0,0 +1,11 @@ +jaffle_shop: + target: analytics + outputs: + analytics: + type: postgres + host: hostname + user: username + password: password + port: 5041 + dbname: database_name + schema: "{{ var('dbt_schema') }}" \ No newline at end of file diff --git a/tests/dbt_runner/secrets/deploy-key b/tests/dbt_runner/secrets/deploy-key new file mode 100644 index 0000000000..edda8ebe23 --- /dev/null +++ b/tests/dbt_runner/secrets/deploy-key @@ -0,0 +1,7 @@ +-----BEGIN OPENSSH PRIVATE KEY----- +b3BlbnNzaC1rZXktdjEAAAAABG5vbmUAAAAEbm9uZQAAAAAAAAABAAAAMwAAAAtzc2gtZW +QyNTUxOQAAACDYgjrGrEhB5UrVaUw5DrIu1BsX7VbDMqpOSCLJfusN3QAAAKAeMrkJHjK5 +CQAAAAtzc2gtZWQyNTUxOQAAACDYgjrGrEhB5UrVaUw5DrIu1BsX7VbDMqpOSCLJfusN3Q +AAAEACDN71UiYdn/3mplShYWwaZTPpDK8vJMg/XNeJKrcgLtiCOsasSEHlStVpTDkOsi7U +GxftVsMyqk5IIsl+6w3dAAAAF3J1ZG9sZml4QHNjYWxldmVjdG9yLmlvAQIDBAUG +-----END OPENSSH PRIVATE KEY----- diff --git a/tests/dbt_runner/secrets/deploy_key.pub b/tests/dbt_runner/secrets/deploy_key.pub new file mode 100644 index 0000000000..955906bbff --- /dev/null +++ b/tests/dbt_runner/secrets/deploy_key.pub @@ -0,0 +1 @@ +ssh-ed25519 AAAAC3NzaC1lZDI1NTE5AAAAINiCOsasSEHlStVpTDkOsi7UGxftVsMyqk5IIsl+6w3d rudolfix@scalevector.io diff --git a/tests/dbt_runner/test_runner_bigquery.py b/tests/dbt_runner/test_runner_bigquery.py new file mode 100644 index 0000000000..8877175f50 --- /dev/null +++ b/tests/dbt_runner/test_runner_bigquery.py @@ -0,0 +1,136 @@ +from os import environ +import pytest + +from dlt.common import logger +from dlt.common.configuration import GcpClientConfiguration +from dlt.common.telemetry import TRunMetrics, get_metrics_from_prometheus +from dlt.common.typing import StrStr +from dlt.common.utils import uniq_id + +from dlt.dbt_runner.utils import DBTProcessingError +from dlt.dbt_runner import runner +from dlt.loaders.gcp.client import BigQueryClient + +from tests.utils import add_config_to_env, init_logger +from tests.dbt_runner.utils import setup_runner + +DEST_SCHEMA_PREFIX = "test_" + uniq_id() + + +@pytest.fixture(scope="module", autouse=True) +def module_autouse() -> None: + # set environment before runner config is imported + saved_environ = environ.copy() + # disable Redshift in environ + del environ["PG_SCHEMA_PREFIX"] + # set the test case for the unit tests + environ["DATASET"] = "test_fixture_carbon_bot_session_cases" + add_config_to_env(GcpClientConfiguration) + + setup_runner(DEST_SCHEMA_PREFIX) + init_logger(runner.CONFIG) + + # create client and dataset + with BigQueryClient(None, runner.CONFIG) as client: + yield + # delete temp datasets + dataset_name = f"{runner.CONFIG.PROJECT_ID}.{DEST_SCHEMA_PREFIX}_staging" + try: + client._client.delete_dataset(dataset_name, not_found_ok=False, delete_contents=True, retry=client.default_retry, timeout=client.C.TIMEOUT) + except Exception as ex1: + logger.error(f"Error when deleting temp dataset {dataset_name}: {str(ex1)}") + + dataset_name = f"{runner.CONFIG.PROJECT_ID}.{DEST_SCHEMA_PREFIX}_views" + try: + client._client.delete_dataset(dataset_name, not_found_ok=False, delete_contents=True, retry=client.default_retry, timeout=client.C.TIMEOUT) + except Exception as ex2: + logger.error(f"Error when deleting temp dataset {dataset_name}: {str(ex2)}") + dataset_name = f"{runner.CONFIG.PROJECT_ID}.{DEST_SCHEMA_PREFIX}_event" + try: + client._client.delete_dataset(dataset_name, not_found_ok=False, delete_contents=True, retry=client.default_retry, timeout=client.C.TIMEOUT) + except Exception as ex2: + logger.error(f"Error when deleting temp dataset {dataset_name}: {str(ex2)}") + + environ.clear() + environ.update(saved_environ) + + +def test_create_folders() -> None: + setup_runner("eks_dev_dest", override_values={ + "SOURCE_SCHEMA_PREFIX": "carbon_bot_3", + "PACKAGE_ADDITIONAL_VARS": {"add_var_name": "add_var_value"}, + "LOG_FORMAT": "JSON", + "LOG_LEVEL": "INFO" + }) + + assert runner.repo_path.endswith(runner.CLONED_PACKAGE_NAME) + assert runner.profile_name == "rasa_semantic_schema_bigquery" + assert runner.global_args == ["--log-format", "json"] + assert runner.dbt_package_vars == {"source_schema_prefix": "carbon_bot_3", "dest_schema_prefix": "eks_dev_dest", "add_var_name": "add_var_value"} + + +def test_dbt_test_no_raw_schema() -> None: + # force non existing schema + setup_runner(DEST_SCHEMA_PREFIX, override_values={"SOURCE_SCHEMA_PREFIX": "jm_dev_2" + uniq_id()}) + # source test should not pass + run_result = runner.run(None) + # those are metrics returned when source schema test fail + assert run_result == TRunMetrics(False, True, 1) + + +def test_dbt_run_full_refresh() -> None: + setup_runner(DEST_SCHEMA_PREFIX, override_values={ + "PACKAGE_ADDITIONAL_VARS": {"user_id": "metadata__user_id"} + }) + run_result = runner.run(None) + assert run_result == TRunMetrics(False, False, 0) + # enumerate gauges + metrics: StrStr = get_metrics_from_prometheus([runner.model_exec_info])["dbtrunner_model_status_info"] + # all models must be CREATE TABLE as we do full refresh + assert all(v.startswith("CREATE TABLE") for k,v in metrics.items() if k != "_loads") + # _loads are MERGE - always go to the raw schema + assert metrics["_loads"].startswith("CREATE TABLE") + # all tests should pass + test_results = runner.run_dbt("test") + + +def test_dbt_run_error_via_additional_vars() -> None: + # generate with setting external user and session to non existing fields (metadata__sess_id not exists in JM schema) + setup_runner(DEST_SCHEMA_PREFIX, override_values={ + "PACKAGE_ADDITIONAL_VARS": {"user_id": "metadata__user_id", "external_session_id": "metadata__sess_id"} + }) + with pytest.raises(DBTProcessingError): + runner.run(None) + metrics: StrStr = get_metrics_from_prometheus([runner.model_exec_info])["dbtrunner_model_status_info"] + assert "stg_interactions" in metrics + assert "metadata__sess_id" in metrics["stg_interactions"] + + +def test_dbt_incremental_schema_out_of_sync_error() -> None: + + setup_runner(DEST_SCHEMA_PREFIX, override_values={ + # run stg_interactions and all parents + "PACKAGE_RUN_PARAMS": ["--fail-fast", "--model", "+interactions"], + # remove all counter metrics + "PACKAGE_ADDITIONAL_VARS": {"count_metrics": []} + }) + run_result = runner.run(None) + assert run_result == TRunMetrics(False, False, 0) + setup_runner(DEST_SCHEMA_PREFIX, override_values={ + # run stg_interactions and all parents + "PACKAGE_RUN_PARAMS": ["--fail-fast", "--model", "+interactions"], + # allow count metrics to generate schema error + "PACKAGE_ADDITIONAL_VARS": {} + }) + run_result = runner.run(None) + assert run_result == TRunMetrics(False, False, 0) + metrics: StrStr = get_metrics_from_prometheus([runner.model_exec_info])["dbtrunner_model_status_info"] + # full refresh on interactions + assert metrics["interactions"].startswith("CREATE TABLE") + # now incremental load should happen + run_result = runner.run(None) + assert run_result == TRunMetrics(False, False, 0) + metrics: StrStr = get_metrics_from_prometheus([runner.model_exec_info])["dbtrunner_model_status_info"] + # full refresh on interactions + assert metrics["interactions"].startswith("MERGE") + diff --git a/tests/dbt_runner/test_runner_redshift.py b/tests/dbt_runner/test_runner_redshift.py new file mode 100644 index 0000000000..2e3027ef43 --- /dev/null +++ b/tests/dbt_runner/test_runner_redshift.py @@ -0,0 +1,186 @@ +from os import environ +from git import GitCommandError +import pytest +from prometheus_client import CollectorRegistry + +from dlt.common import logger +from dlt.common.configuration import PostgresConfiguration +from dlt.common.configuration.utils import make_configuration +from dlt.common.file_storage import FileStorage +from dlt.common.telemetry import TRunMetrics, get_metrics_from_prometheus +from dlt.common.typing import StrStr +from dlt.common.utils import uniq_id + +from dlt.dbt_runner.utils import DBTProcessingError +from dlt.dbt_runner.configuration import DBTRunnerConfiguration +from dlt.dbt_runner import runner +from dlt.loaders.redshift.client import RedshiftClient + +from tests.utils import add_config_to_env, clean_storage, init_logger +from tests.dbt_runner.utils import modify_and_commit_file, load_secret, setup_runner + +DEST_SCHEMA_PREFIX = "test_" + uniq_id() + + +@pytest.fixture(scope="module", autouse=True) +def module_autouse() -> None: + # set environment before runner config is imported + saved_environ = environ.copy() + # disable GCP in environ + del environ["DATASET"] + # set the test case for the unit tests + environ["PG_SCHEMA_PREFIX"] = "test_fixture_carbon_bot_session_cases" + add_config_to_env(PostgresConfiguration) + + setup_runner(DEST_SCHEMA_PREFIX) + init_logger(runner.CONFIG) + + # create client and dataset + with RedshiftClient(None, runner.CONFIG) as client: + yield + # delete temp schemas + schema_name = f"{DEST_SCHEMA_PREFIX}_views" + try: + client._execute_sql(f"DROP SCHEMA {schema_name} CASCADE") + except Exception as ex1: + logger.error(f"Error when deleting temp dataset {schema_name}: {str(ex1)}") + + schema_name = f"{DEST_SCHEMA_PREFIX}_staging" + try: + client._execute_sql(f"DROP SCHEMA {schema_name} CASCADE") + except Exception as ex2: + logger.error(f"Error when deleting temp dataset {schema_name}: {str(ex2)}") + + schema_name = f"{DEST_SCHEMA_PREFIX}_event" + try: + client._execute_sql(f"DROP SCHEMA {schema_name} CASCADE") + except Exception as ex2: + logger.error(f"Error when deleting temp dataset {schema_name}: {str(ex2)}") + + environ.clear() + environ.update(saved_environ) + + +def test_configuration() -> None: + # check names normalized + C = make_configuration( + DBTRunnerConfiguration, + DBTRunnerConfiguration, + initial_values={"PACKAGE_REPOSITORY_SSH_KEY": "---NO NEWLINE---", "SOURCE_SCHEMA_PREFIX": "schema"} + ) + assert C.PACKAGE_REPOSITORY_SSH_KEY == "---NO NEWLINE---\n" + + C = make_configuration( + DBTRunnerConfiguration, + DBTRunnerConfiguration, + initial_values={"PACKAGE_REPOSITORY_SSH_KEY": "---WITH NEWLINE---\n", "SOURCE_SCHEMA_PREFIX": "schema"} + ) + assert C.PACKAGE_REPOSITORY_SSH_KEY == "---WITH NEWLINE---\n" + + +def test_create_folders() -> None: + setup_runner("eks_dev_dest", override_values={ + "SOURCE_SCHEMA_PREFIX": "carbon_bot_3", + "PACKAGE_ADDITIONAL_VARS": {"add_var_name": "add_var_value"}, + "LOG_FORMAT": "JSON", + "LOG_LEVEL": "INFO" + }) + assert runner.repo_path.endswith(runner.CLONED_PACKAGE_NAME) + assert runner.profile_name == "rasa_semantic_schema_redshift" + assert runner.global_args == ["--log-format", "json"] + assert runner.dbt_package_vars == {"source_schema_prefix": "carbon_bot_3", "dest_schema_prefix": "eks_dev_dest", "add_var_name": "add_var_value"} + + +def test_initialize_package_wrong_key() -> None: + setup_runner(DEST_SCHEMA_PREFIX, override_values={ + # private repo + "PACKAGE_REPOSITORY_URL": "git@github.com:scale-vector/rasa_bot_experiments.git" + }) + runner.CONFIG.PACKAGE_REPOSITORY_SSH_KEY = load_secret("DEPLOY_KEY") + + with pytest.raises(GitCommandError): + runner.run(None) + + +def test_reinitialize_package() -> None: + setup_runner(DEST_SCHEMA_PREFIX) + runner.ensure_newest_package() + # mod the package + readme_path = modify_and_commit_file(runner.repo_path, "README.md", content=runner.CONFIG.DEST_SCHEMA_PREFIX) + assert runner.storage.has_file(readme_path) + # this will wipe out old package and clone again + runner.ensure_newest_package() + # we have old file back + assert runner.storage.load(f"{runner.CLONED_PACKAGE_NAME}/README.md") != runner.CONFIG.DEST_SCHEMA_PREFIX + + +def test_dbt_test_no_raw_schema() -> None: + # force non existing schema + setup_runner(DEST_SCHEMA_PREFIX, override_values={"SOURCE_SCHEMA_PREFIX": "jm_dev_2" + uniq_id()}) + # source test should not pass + run_result = runner.run(None) + # those are metrics returned when source schema test fail + assert run_result == TRunMetrics(False, True, 1) + + +def test_dbt_run_full_refresh() -> None: + setup_runner(DEST_SCHEMA_PREFIX, override_values={ + "PACKAGE_ADDITIONAL_VARS": {"user_id": "metadata__user_id"} + }) + run_result = runner.run(None) + assert run_result == TRunMetrics(False, False, 0) + # enumerate gauges + metrics: StrStr = get_metrics_from_prometheus([runner.model_exec_info])["dbtrunner_model_status_info"] + # all models must be SELECT as we do full refresh + assert set(v for k,v in metrics.items() if k != "_loads") == set(["SELECT"]) + # _loads are INSERT - always go to the raw schema + assert metrics["_loads"].startswith("SELECT") + # all tests should pass + test_results = runner.run_dbt("test") + + +def test_dbt_run_error_via_additional_vars() -> None: + # generate with setting external user and session to non existing fields (metadata__sess_id not exists in JM schema) + setup_runner(DEST_SCHEMA_PREFIX, override_values={ + "PACKAGE_ADDITIONAL_VARS": {"user_id": "metadata__user_id", "external_session_id": "metadata__sess_id"} + }) + with pytest.raises(DBTProcessingError): + runner.run(None) + metrics: StrStr = get_metrics_from_prometheus([runner.model_exec_info])["dbtrunner_model_status_info"] + assert "stg_interactions" in metrics + assert "metadata__sess_id" in metrics["stg_interactions"] + + +def test_dbt_incremental_schema_out_of_sync_error() -> None: + setup_runner(DEST_SCHEMA_PREFIX, override_values={ + # run stg_interactions and all parents + "PACKAGE_RUN_PARAMS": ["--fail-fast", "--model", "+interactions"], + # remove all counter metrics + "PACKAGE_ADDITIONAL_VARS": {"count_metrics": []} + }) + run_result = runner.run(None) + assert run_result == TRunMetrics(False, False, 0) + setup_runner(DEST_SCHEMA_PREFIX, override_values={ + # run stg_interactions and all parents + "PACKAGE_RUN_PARAMS": ["--fail-fast", "--model", "+interactions"], + # allow count metrics to generate schema error + "PACKAGE_ADDITIONAL_VARS": {} + }) + run_result = runner.run(None) + assert run_result == TRunMetrics(False, False, 0) + metrics: StrStr = get_metrics_from_prometheus([runner.model_exec_info])["dbtrunner_model_status_info"] + # full refresh on interactions + assert metrics["interactions"].startswith("SELECT") + # now incremental load should happen + run_result = runner.run(None) + assert run_result == TRunMetrics(False, False, 0) + metrics: StrStr = get_metrics_from_prometheus([runner.model_exec_info])["dbtrunner_model_status_info"] + # full refresh on interactions + assert metrics["interactions"].startswith("INSERT") + + +def get_runner() -> FileStorage: + clean_storage() + runner.storage, runner.dbt_package_vars, runner.global_args, runner.repo_path, runner.profile_name = runner.create_folders() + runner.model_elapsed_gauge, runner.model_exec_info = runner.create_gauges(CollectorRegistry(auto_describe=True)) + return runner.storage diff --git a/tests/dbt_runner/test_utils.py b/tests/dbt_runner/test_utils.py new file mode 100644 index 0000000000..8135c1706b --- /dev/null +++ b/tests/dbt_runner/test_utils.py @@ -0,0 +1,123 @@ +import os +import shutil +from git import GitCommandError, Repo, RepositoryDirtyError +import pytest + +from dlt.common.file_storage import FileStorage + +from dlt.dbt_runner.utils import DBTProcessingError, clone_repo, ensure_remote_head, git_custom_key_command, initialize_dbt_logging, run_dbt_command + +from tests.utils import root_storage +from tests.dbt_runner.utils import load_secret, modify_and_commit_file, restore_secret_storage_path + + +AWESOME_REPO = "https://github.com/sindresorhus/awesome.git" +JAFFLE_SHOP_REPO = "https://github.com/dbt-labs/jaffle_shop.git" +PRIVATE_REPO = "git@github.com:scale-vector/rasa_bot_experiments.git" +PRIVATE_REPO_WITH_ACCESS = "git@github.com:scale-vector/test_private_repo.git" + + +def test_ssh_key_context() -> None: + secret = load_secret("deploy_key") + with git_custom_key_command(secret) as git_command: + assert len(git_command) > 0 + file_path = git_command.split(" ")[-1] + assert os.path.isfile(file_path) + # deleted out of context + assert not os.path.isfile(file_path) + + +def test_no_ssh_key_context() -> None: + with git_custom_key_command(None) as git_command: + assert git_command == 'ssh -o "StrictHostKeyChecking accept-new"' + + +def test_clone(root_storage: FileStorage) -> None: + repo_path = root_storage._make_path("awesome_repo") + # clone a small public repo + clone_repo(AWESOME_REPO, repo_path, with_git_command=None) + assert root_storage.has_folder("awesome_repo") + # make sure directory clean + ensure_remote_head(repo_path, with_git_command=None) + + +def test_clone_with_commit_id(root_storage: FileStorage) -> None: + repo_path = root_storage._make_path("awesome_repo") + # clone a small public repo + clone_repo(AWESOME_REPO, repo_path, with_git_command=None, branch="7f88000be2d4f265c83465fec4b0b3613af347dd") + assert root_storage.has_folder("awesome_repo") + ensure_remote_head(repo_path, with_git_command=None) + + +def test_clone_with_wrong_branch(root_storage: FileStorage) -> None: + repo_path = root_storage._make_path("awesome_repo") + # clone a small public repo + with pytest.raises(GitCommandError): + clone_repo(AWESOME_REPO, repo_path, with_git_command=None, branch="wrong_branch") + + +def test_clone_with_deploy_key_access_denied(root_storage: FileStorage) -> None: + secret = load_secret("deploy_key") + repo_path = root_storage._make_path("private_repo") + with git_custom_key_command(secret) as git_command: + with pytest.raises(GitCommandError): + clone_repo(PRIVATE_REPO, repo_path, with_git_command=git_command) + + +def test_clone_with_deploy_key(root_storage: FileStorage) -> None: + secret = load_secret("deploy_key") + repo_path = root_storage._make_path("private_repo_access") + with git_custom_key_command(secret) as git_command: + clone_repo(PRIVATE_REPO_WITH_ACCESS, repo_path, with_git_command=git_command) + ensure_remote_head(repo_path, with_git_command=git_command) + + +def test_repo_status_update(root_storage: FileStorage) -> None: + secret = load_secret("deploy_key") + repo_path = root_storage._make_path("private_repo_access") + with git_custom_key_command(secret) as git_command: + clone_repo(PRIVATE_REPO_WITH_ACCESS, repo_path, with_git_command=git_command) + # modify README.md + readme_path = modify_and_commit_file(repo_path, "README.md") + assert root_storage.has_file(readme_path) + with pytest.raises(RepositoryDirtyError): + ensure_remote_head(repo_path, with_git_command=git_command) + + +def test_dbt_commands(root_storage: FileStorage) -> None: + repo_path = root_storage._make_path("jaffle_shop") + # clone jaffle shop for dbt 1.0.0 + clone_repo(JAFFLE_SHOP_REPO, repo_path, with_git_command=None, branch="core-v1.0.0") + # copy profile + shutil.copy("./tests/dbt_runner/cases/profiles.yml", repo_path) + # initialize logging + global_args = initialize_dbt_logging("INFO", False) + # run deps, results are None + assert run_dbt_command(repo_path, "deps", ".", global_args=global_args) is None + # profiles in cases require this var to be set + vars = {"dbt_schema": "JM_EKS"} + # run list, results are string + results = run_dbt_command(repo_path, "list", ".", global_args=global_args, vars=vars) + assert len(results) == 28 + assert "jaffle_shop.not_null_orders_amount" in results + # run list for specific selector + results = run_dbt_command(repo_path, "list", ".", global_args=global_args, command_args=["-s", "jaffle_shop.not_null_orders_amount"], vars=vars) + assert len(results) == 1 + assert results[0] == "jaffle_shop.not_null_orders_amount" + # run debug, that will fail + with pytest.raises(DBTProcessingError) as dbt_err: + run_dbt_command(repo_path, "debug", ".", global_args=global_args, vars=vars) + # results are bool + assert dbt_err.value.command == "debug" + + # we have no database connectivity so tests will fail + with pytest.raises(DBTProcessingError) as dbt_err: + run_dbt_command(repo_path, "test", ".", global_args=global_args, vars=vars) + # in that case test results are bool, not list of tests runs + assert dbt_err.value.command == "test" + + # same for run + with pytest.raises(DBTProcessingError) as dbt_err: + run_dbt_command(repo_path, "run", ".", global_args=global_args, vars=vars, command_args=["--fail-fast", "--full-refresh"]) + # in that case test results are bool, not list of tests runs + assert dbt_err.value.command == "run" diff --git a/tests/dbt_runner/utils.py b/tests/dbt_runner/utils.py new file mode 100644 index 0000000000..51a58ec0f6 --- /dev/null +++ b/tests/dbt_runner/utils.py @@ -0,0 +1,58 @@ +import os +from git import Repo +import pytest +from prometheus_client import CollectorRegistry + +from dlt.common.configuration import utils +from dlt.common.typing import StrAny +from dlt.dbt_runner.configuration import gen_configuration_variant +from dlt.dbt_runner import runner + +from tests.utils import clean_storage + + +SECRET_STORAGE_PATH = utils.SECRET_STORAGE_PATH + + +@pytest.fixture(autouse=True) +def restore_secret_storage_path() -> None: + utils.SECRET_STORAGE_PATH = SECRET_STORAGE_PATH + + +def load_secret(name: str) -> str: + utils.SECRET_STORAGE_PATH = "./tests/dbt_runner/secrets/%s" + secret = utils._get_key_value(name, utils.TConfigSecret) + if not secret: + raise FileNotFoundError(utils.SECRET_STORAGE_PATH % name) + return secret + + +def modify_and_commit_file(repo_path: str, file_name: str, content: str = "NEW README CONTENT") -> None: + file_path = os.path.join(repo_path, file_name) + + with open(file_path, "w") as f: + f.write(content) + + repo = Repo(repo_path) + # one file modified + index = repo.index.entries + assert len(index) > 0 + assert any(e for e in index.keys() if e[0] == file_name) + repo.index.add(file_name) + repo.index.commit(f"mod {file_name}") + + return file_path + + +def setup_runner(dest_schema_prefix: str, override_values: StrAny = None) -> None: + clean_storage() + runner.CONFIG = gen_configuration_variant(initial_values=override_values) + # set unique dest schema prefix by default + runner.CONFIG.DEST_SCHEMA_PREFIX = dest_schema_prefix + runner.CONFIG.PACKAGE_RUN_PARAMS = ["--fail-fast", "--full-refresh"] + # override values including the defaults above + if override_values: + for k,v in override_values.items(): + setattr(runner.CONFIG, k, v) + runner.storage, runner.dbt_package_vars, runner.global_args, runner.repo_path, runner.profile_name = runner.create_folders() + runner.model_elapsed_gauge, runner.model_exec_info = runner.create_gauges(CollectorRegistry(auto_describe=True)) \ No newline at end of file diff --git a/tests/loaders/__init__.py b/tests/loaders/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/loaders/cases/event_schema.json b/tests/loaders/cases/event_schema.json new file mode 100644 index 0000000000..19eb07c66e --- /dev/null +++ b/tests/loaders/cases/event_schema.json @@ -0,0 +1,1888 @@ +{ + "name": "event", + "preferred_types": { + "^_pos$": "bigint", + "^inserted_at$": "timestamp", + "^timestamp$": "timestamp", + "confidence": "double" + }, + "tables": { + "_version": { + "version": { + "data_type": "bigint", + "name": "version", + "nullable": false + } + }, + "event": { + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "environment": { + "data_type": "text", + "name": "environment", + "nullable": true + }, + "event_json": { + "data_type": "text", + "name": "event_json", + "nullable": true + }, + "event_type": { + "data_type": "text", + "name": "event_type", + "nullable": true + }, + "inserted_at": { + "data_type": "timestamp", + "name": "inserted_at", + "nullable": true + }, + "model_id": { + "data_type": "text", + "name": "model_id", + "nullable": true + }, + "name": { + "data_type": "text", + "name": "name", + "nullable": true + }, + "sender_id": { + "data_type": "text", + "name": "sender_id", + "nullable": true + }, + "timestamp": { + "data_type": "timestamp", + "name": "timestamp", + "nullable": true + } + }, + "event_action": { + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "_root_hash": { + "data_type": "text", + "name": "_root_hash", + "nullable": true + }, + "confidence": { + "data_type": "double", + "name": "confidence", + "nullable": true + }, + "environment": { + "data_type": "text", + "name": "environment", + "nullable": true + }, + "event": { + "data_type": "text", + "name": "event", + "nullable": true + }, + "hide_rule_turn": { + "data_type": "bool", + "name": "hide_rule_turn", + "nullable": true + }, + "is_flagged": { + "data_type": "bool", + "name": "is_flagged", + "nullable": true + }, + "metadata__rasa_x_flagged": { + "data_type": "bool", + "name": "metadata__rasa_x_flagged", + "nullable": true + }, + "metadata__rasa_x_id": { + "data_type": "bigint", + "name": "metadata__rasa_x_id", + "nullable": true + }, + "model_id": { + "data_type": "text", + "name": "model_id", + "nullable": true + }, + "name": { + "data_type": "text", + "name": "name", + "nullable": true + }, + "policy": { + "data_type": "text", + "name": "policy", + "nullable": true + }, + "sender_id": { + "data_type": "text", + "name": "sender_id", + "nullable": true + }, + "timestamp": { + "data_type": "timestamp", + "name": "timestamp", + "nullable": true + } + }, + "event_action_execution_rejected": { + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "_root_hash": { + "data_type": "text", + "name": "_root_hash", + "nullable": true + }, + "confidence": { + "data_type": "double", + "name": "confidence", + "nullable": true + }, + "environment": { + "data_type": "text", + "name": "environment", + "nullable": true + }, + "event": { + "data_type": "text", + "name": "event", + "nullable": true + }, + "is_flagged": { + "data_type": "bool", + "name": "is_flagged", + "nullable": true + }, + "metadata__rasa_x_flagged": { + "data_type": "bool", + "name": "metadata__rasa_x_flagged", + "nullable": true + }, + "metadata__rasa_x_id": { + "data_type": "bigint", + "name": "metadata__rasa_x_id", + "nullable": true + }, + "model_id": { + "data_type": "text", + "name": "model_id", + "nullable": true + }, + "name": { + "data_type": "text", + "name": "name", + "nullable": true + }, + "policy": { + "data_type": "text", + "name": "policy", + "nullable": true + }, + "sender_id": { + "data_type": "text", + "name": "sender_id", + "nullable": true + }, + "timestamp": { + "data_type": "timestamp", + "name": "timestamp", + "nullable": true + } + }, + "event_active_loop": { + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "_root_hash": { + "data_type": "text", + "name": "_root_hash", + "nullable": true + }, + "environment": { + "data_type": "text", + "name": "environment", + "nullable": true + }, + "event": { + "data_type": "text", + "name": "event", + "nullable": true + }, + "is_flagged": { + "data_type": "bool", + "name": "is_flagged", + "nullable": true + }, + "metadata__rasa_x_flagged": { + "data_type": "bool", + "name": "metadata__rasa_x_flagged", + "nullable": true + }, + "metadata__rasa_x_id": { + "data_type": "bigint", + "name": "metadata__rasa_x_id", + "nullable": true + }, + "model_id": { + "data_type": "text", + "name": "model_id", + "nullable": true + }, + "name": { + "data_type": "text", + "name": "name", + "nullable": true + }, + "sender_id": { + "data_type": "text", + "name": "sender_id", + "nullable": true + }, + "timestamp": { + "data_type": "timestamp", + "name": "timestamp", + "nullable": true + } + }, + "event_bot": { + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "_root_hash": { + "data_type": "text", + "name": "_root_hash", + "nullable": true + }, + "data__custom__handoff_host": { + "data_type": "text", + "name": "data__custom__handoff_host", + "nullable": true + }, + "data__custom__title": { + "data_type": "text", + "name": "data__custom__title", + "nullable": true + }, + "environment": { + "data_type": "text", + "name": "environment", + "nullable": true + }, + "event": { + "data_type": "text", + "name": "event", + "nullable": true + }, + "is_flagged": { + "data_type": "bool", + "name": "is_flagged", + "nullable": true + }, + "metadata__PERSON": { + "data_type": "text", + "name": "metadata__PERSON", + "nullable": true + }, + "metadata__account_balance": { + "data_type": "text", + "name": "metadata__account_balance", + "nullable": true + }, + "metadata__amount_of_money": { + "data_type": "text", + "name": "metadata__amount_of_money", + "nullable": true + }, + "metadata__amount_transferred": { + "data_type": "double", + "name": "metadata__amount_transferred", + "nullable": true + }, + "metadata__credit_card": { + "data_type": "text", + "name": "metadata__credit_card", + "nullable": true + }, + "metadata__credit_card_balance": { + "data_type": "text", + "name": "metadata__credit_card_balance", + "nullable": true + }, + "metadata__credit_card_balance__credit_all__current_balance": { + "data_type": "double", + "name": "metadata__credit_card_balance__credit_all__current_balance", + "nullable": true + }, + "metadata__credit_card_balance__credit_all__minimum_balance": { + "data_type": "bigint", + "name": "metadata__credit_card_balance__credit_all__minimum_balance", + "nullable": true + }, + "metadata__credit_card_balance__emblem__current_balance": { + "data_type": "double", + "name": "metadata__credit_card_balance__emblem__current_balance", + "nullable": true + }, + "metadata__credit_card_balance__emblem__minimum_balance": { + "data_type": "bigint", + "name": "metadata__credit_card_balance__emblem__minimum_balance", + "nullable": true + }, + "metadata__credit_card_balance__gringotts__current_balance": { + "data_type": "double", + "name": "metadata__credit_card_balance__gringotts__current_balance", + "nullable": true + }, + "metadata__credit_card_balance__gringotts__minimum_balance": { + "data_type": "bigint", + "name": "metadata__credit_card_balance__gringotts__minimum_balance", + "nullable": true + }, + "metadata__credit_card_balance__iron_bank__current_balance": { + "data_type": "double", + "name": "metadata__credit_card_balance__iron_bank__current_balance", + "nullable": true + }, + "metadata__credit_card_balance__iron_bank__minimum_balance": { + "data_type": "bigint", + "name": "metadata__credit_card_balance__iron_bank__minimum_balance", + "nullable": true + }, + "metadata__credit_card_balance__justice_bank__current_balance": { + "data_type": "double", + "name": "metadata__credit_card_balance__justice_bank__current_balance", + "nullable": true + }, + "metadata__credit_card_balance__justice_bank__minimum_balance": { + "data_type": "bigint", + "name": "metadata__credit_card_balance__justice_bank__minimum_balance", + "nullable": true + }, + "metadata__currency": { + "data_type": "text", + "name": "metadata__currency", + "nullable": true + }, + "metadata__end_time": { + "data_type": "text", + "name": "metadata__end_time", + "nullable": true + }, + "metadata__end_time_formatted": { + "data_type": "text", + "name": "metadata__end_time_formatted", + "nullable": true + }, + "metadata__formatted_recipients": { + "data_type": "text", + "name": "metadata__formatted_recipients", + "nullable": true + }, + "metadata__grain": { + "data_type": "text", + "name": "metadata__grain", + "nullable": true + }, + "metadata__handoffhost": { + "data_type": "text", + "name": "metadata__handoffhost", + "nullable": true + }, + "metadata__init_account_balance": { + "data_type": "text", + "name": "metadata__init_account_balance", + "nullable": true + }, + "metadata__numtransacts": { + "data_type": "bigint", + "name": "metadata__numtransacts", + "nullable": true + }, + "metadata__payment_amount": { + "data_type": "text", + "name": "metadata__payment_amount", + "nullable": true + }, + "metadata__payment_amount_type": { + "data_type": "text", + "name": "metadata__payment_amount_type", + "nullable": true + }, + "metadata__rasa_x_flagged": { + "data_type": "bool", + "name": "metadata__rasa_x_flagged", + "nullable": true + }, + "metadata__rasa_x_id": { + "data_type": "bigint", + "name": "metadata__rasa_x_id", + "nullable": true + }, + "metadata__requested_slot": { + "data_type": "text", + "name": "metadata__requested_slot", + "nullable": true + }, + "metadata__search_type": { + "data_type": "text", + "name": "metadata__search_type", + "nullable": true + }, + "metadata__start_time": { + "data_type": "text", + "name": "metadata__start_time", + "nullable": true + }, + "metadata__start_time_formatted": { + "data_type": "text", + "name": "metadata__start_time_formatted", + "nullable": true + }, + "metadata__template": { + "data_type": "text", + "name": "metadata__template", + "nullable": true + }, + "metadata__template_name": { + "data_type": "text", + "name": "metadata__template_name", + "nullable": true + }, + "metadata__time": { + "data_type": "text", + "name": "metadata__time", + "nullable": true + }, + "metadata__time_formatted": { + "data_type": "text", + "name": "metadata__time_formatted", + "nullable": true + }, + "metadata__total": { + "data_type": "double", + "name": "metadata__total", + "nullable": true + }, + "metadata__transact_grain": { + "data_type": "text", + "name": "metadata__transact_grain", + "nullable": true + }, + "metadata__utter_action": { + "data_type": "text", + "name": "metadata__utter_action", + "nullable": true + }, + "metadata__vendor_name": { + "data_type": "text", + "name": "metadata__vendor_name", + "nullable": true + }, + "model_id": { + "data_type": "text", + "name": "model_id", + "nullable": true + }, + "sender_id": { + "data_type": "text", + "name": "sender_id", + "nullable": true + }, + "text": { + "data_type": "text", + "name": "text", + "nullable": true + }, + "timestamp": { + "data_type": "timestamp", + "name": "timestamp", + "nullable": true + } + }, + "event_bot__data__buttons": { + "_parent": { + "data_type": "text", + "name": "_parent", + "nullable": true + }, + "_parent_hash": { + "data_type": "text", + "name": "_parent_hash", + "nullable": true + }, + "_pos": { + "data_type": "bigint", + "name": "_pos", + "nullable": true + }, + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "_root_hash": { + "data_type": "text", + "name": "_root_hash", + "nullable": true + }, + "payload": { + "data_type": "text", + "name": "payload", + "nullable": true + }, + "title": { + "data_type": "text", + "name": "title", + "nullable": true + } + }, + "event_bot__metadata__known_recipients": { + "_parent": { + "data_type": "text", + "name": "_parent", + "nullable": true + }, + "_parent_hash": { + "data_type": "text", + "name": "_parent_hash", + "nullable": true + }, + "_pos": { + "data_type": "bigint", + "name": "_pos", + "nullable": true + }, + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "_root_hash": { + "data_type": "text", + "name": "_root_hash", + "nullable": true + }, + "value": { + "data_type": "text", + "name": "value", + "nullable": true + } + }, + "event_bot__metadata__transaction_history__deposit__employer": { + "_parent": { + "data_type": "text", + "name": "_parent", + "nullable": true + }, + "_parent_hash": { + "data_type": "text", + "name": "_parent_hash", + "nullable": true + }, + "_pos": { + "data_type": "bigint", + "name": "_pos", + "nullable": true + }, + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "_root_hash": { + "data_type": "text", + "name": "_root_hash", + "nullable": true + }, + "amount": { + "data_type": "double", + "name": "amount", + "nullable": true + }, + "date": { + "data_type": "text", + "name": "date", + "nullable": true + } + }, + "event_bot__metadata__transaction_history__deposit__interest": { + "_parent": { + "data_type": "text", + "name": "_parent", + "nullable": true + }, + "_parent_hash": { + "data_type": "text", + "name": "_parent_hash", + "nullable": true + }, + "_pos": { + "data_type": "bigint", + "name": "_pos", + "nullable": true + }, + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "_root_hash": { + "data_type": "text", + "name": "_root_hash", + "nullable": true + }, + "amount": { + "data_type": "double", + "name": "amount", + "nullable": true + }, + "date": { + "data_type": "text", + "name": "date", + "nullable": true + } + }, + "event_bot__metadata__transaction_history__spend__amazon": { + "_parent": { + "data_type": "text", + "name": "_parent", + "nullable": true + }, + "_parent_hash": { + "data_type": "text", + "name": "_parent_hash", + "nullable": true + }, + "_pos": { + "data_type": "bigint", + "name": "_pos", + "nullable": true + }, + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "_root_hash": { + "data_type": "text", + "name": "_root_hash", + "nullable": true + }, + "amount": { + "data_type": "double", + "name": "amount", + "nullable": true + }, + "date": { + "data_type": "text", + "name": "date", + "nullable": true + } + }, + "event_bot__metadata__transaction_history__spend__starbucks": { + "_parent": { + "data_type": "text", + "name": "_parent", + "nullable": true + }, + "_parent_hash": { + "data_type": "text", + "name": "_parent_hash", + "nullable": true + }, + "_pos": { + "data_type": "bigint", + "name": "_pos", + "nullable": true + }, + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "_root_hash": { + "data_type": "text", + "name": "_root_hash", + "nullable": true + }, + "amount": { + "data_type": "double", + "name": "amount", + "nullable": true + }, + "date": { + "data_type": "text", + "name": "date", + "nullable": true + } + }, + "event_bot__metadata__transaction_history__spend__target": { + "_parent": { + "data_type": "text", + "name": "_parent", + "nullable": true + }, + "_parent_hash": { + "data_type": "text", + "name": "_parent_hash", + "nullable": true + }, + "_pos": { + "data_type": "bigint", + "name": "_pos", + "nullable": true + }, + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "_root_hash": { + "data_type": "text", + "name": "_root_hash", + "nullable": true + }, + "amount": { + "data_type": "double", + "name": "amount", + "nullable": true + }, + "date": { + "data_type": "text", + "name": "date", + "nullable": true + } + }, + "event_bot__metadata__vendor_list": { + "_parent": { + "data_type": "text", + "name": "_parent", + "nullable": true + }, + "_parent_hash": { + "data_type": "text", + "name": "_parent_hash", + "nullable": true + }, + "_pos": { + "data_type": "bigint", + "name": "_pos", + "nullable": true + }, + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "_root_hash": { + "data_type": "text", + "name": "_root_hash", + "nullable": true + }, + "value": { + "data_type": "text", + "name": "value", + "nullable": true + } + }, + "event_followup": { + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "_root_hash": { + "data_type": "text", + "name": "_root_hash", + "nullable": true + }, + "environment": { + "data_type": "text", + "name": "environment", + "nullable": true + }, + "event": { + "data_type": "text", + "name": "event", + "nullable": true + }, + "is_flagged": { + "data_type": "bool", + "name": "is_flagged", + "nullable": true + }, + "metadata__rasa_x_flagged": { + "data_type": "bool", + "name": "metadata__rasa_x_flagged", + "nullable": true + }, + "metadata__rasa_x_id": { + "data_type": "bigint", + "name": "metadata__rasa_x_id", + "nullable": true + }, + "model_id": { + "data_type": "text", + "name": "model_id", + "nullable": true + }, + "name": { + "data_type": "text", + "name": "name", + "nullable": true + }, + "sender_id": { + "data_type": "text", + "name": "sender_id", + "nullable": true + }, + "timestamp": { + "data_type": "timestamp", + "name": "timestamp", + "nullable": true + } + }, + "event_loop_interrupted": { + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "_root_hash": { + "data_type": "text", + "name": "_root_hash", + "nullable": true + }, + "environment": { + "data_type": "text", + "name": "environment", + "nullable": true + }, + "event": { + "data_type": "text", + "name": "event", + "nullable": true + }, + "is_flagged": { + "data_type": "bool", + "name": "is_flagged", + "nullable": true + }, + "is_interrupted": { + "data_type": "bool", + "name": "is_interrupted", + "nullable": true + }, + "metadata__rasa_x_flagged": { + "data_type": "bool", + "name": "metadata__rasa_x_flagged", + "nullable": true + }, + "metadata__rasa_x_id": { + "data_type": "bigint", + "name": "metadata__rasa_x_id", + "nullable": true + }, + "model_id": { + "data_type": "text", + "name": "model_id", + "nullable": true + }, + "sender_id": { + "data_type": "text", + "name": "sender_id", + "nullable": true + }, + "timestamp": { + "data_type": "timestamp", + "name": "timestamp", + "nullable": true + } + }, + "event_reset_slots": { + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "_root_hash": { + "data_type": "text", + "name": "_root_hash", + "nullable": true + }, + "environment": { + "data_type": "text", + "name": "environment", + "nullable": true + }, + "event": { + "data_type": "text", + "name": "event", + "nullable": true + }, + "is_flagged": { + "data_type": "bool", + "name": "is_flagged", + "nullable": true + }, + "metadata__rasa_x_flagged": { + "data_type": "bool", + "name": "metadata__rasa_x_flagged", + "nullable": true + }, + "metadata__rasa_x_id": { + "data_type": "bigint", + "name": "metadata__rasa_x_id", + "nullable": true + }, + "model_id": { + "data_type": "text", + "name": "model_id", + "nullable": true + }, + "sender_id": { + "data_type": "text", + "name": "sender_id", + "nullable": true + }, + "timestamp": { + "data_type": "timestamp", + "name": "timestamp", + "nullable": true + } + }, + "event_restart": { + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "_root_hash": { + "data_type": "text", + "name": "_root_hash", + "nullable": true + }, + "environment": { + "data_type": "text", + "name": "environment", + "nullable": true + }, + "event": { + "data_type": "text", + "name": "event", + "nullable": true + }, + "is_flagged": { + "data_type": "bool", + "name": "is_flagged", + "nullable": true + }, + "metadata__rasa_x_flagged": { + "data_type": "bool", + "name": "metadata__rasa_x_flagged", + "nullable": true + }, + "metadata__rasa_x_id": { + "data_type": "bigint", + "name": "metadata__rasa_x_id", + "nullable": true + }, + "model_id": { + "data_type": "text", + "name": "model_id", + "nullable": true + }, + "sender_id": { + "data_type": "text", + "name": "sender_id", + "nullable": true + }, + "timestamp": { + "data_type": "timestamp", + "name": "timestamp", + "nullable": true + } + }, + "event_rewind": { + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "_root_hash": { + "data_type": "text", + "name": "_root_hash", + "nullable": true + }, + "environment": { + "data_type": "text", + "name": "environment", + "nullable": true + }, + "event": { + "data_type": "text", + "name": "event", + "nullable": true + }, + "is_flagged": { + "data_type": "bool", + "name": "is_flagged", + "nullable": true + }, + "metadata__rasa_x_flagged": { + "data_type": "bool", + "name": "metadata__rasa_x_flagged", + "nullable": true + }, + "metadata__rasa_x_id": { + "data_type": "bigint", + "name": "metadata__rasa_x_id", + "nullable": true + }, + "model_id": { + "data_type": "text", + "name": "model_id", + "nullable": true + }, + "sender_id": { + "data_type": "text", + "name": "sender_id", + "nullable": true + }, + "timestamp": { + "data_type": "timestamp", + "name": "timestamp", + "nullable": true + } + }, + "event_session_started": { + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "_root_hash": { + "data_type": "text", + "name": "_root_hash", + "nullable": true + }, + "environment": { + "data_type": "text", + "name": "environment", + "nullable": true + }, + "event": { + "data_type": "text", + "name": "event", + "nullable": true + }, + "is_flagged": { + "data_type": "bool", + "name": "is_flagged", + "nullable": true + }, + "metadata__rasa_x_flagged": { + "data_type": "bool", + "name": "metadata__rasa_x_flagged", + "nullable": true + }, + "metadata__rasa_x_id": { + "data_type": "bigint", + "name": "metadata__rasa_x_id", + "nullable": true + }, + "model_id": { + "data_type": "text", + "name": "model_id", + "nullable": true + }, + "sender_id": { + "data_type": "text", + "name": "sender_id", + "nullable": true + }, + "timestamp": { + "data_type": "timestamp", + "name": "timestamp", + "nullable": true + } + }, + "event_slot": { + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "_root_hash": { + "data_type": "text", + "name": "_root_hash", + "nullable": true + }, + "environment": { + "data_type": "text", + "name": "environment", + "nullable": true + }, + "event": { + "data_type": "text", + "name": "event", + "nullable": true + }, + "is_flagged": { + "data_type": "bool", + "name": "is_flagged", + "nullable": true + }, + "metadata__rasa_x_flagged": { + "data_type": "bool", + "name": "metadata__rasa_x_flagged", + "nullable": true + }, + "metadata__rasa_x_id": { + "data_type": "bigint", + "name": "metadata__rasa_x_id", + "nullable": true + }, + "model_id": { + "data_type": "text", + "name": "model_id", + "nullable": true + }, + "name": { + "data_type": "text", + "name": "name", + "nullable": true + }, + "sender_id": { + "data_type": "text", + "name": "sender_id", + "nullable": true + }, + "timestamp": { + "data_type": "timestamp", + "name": "timestamp", + "nullable": true + }, + "value": { + "data_type": "text", + "name": "value", + "nullable": true + }, + "value__credit_all__current_balance": { + "data_type": "double", + "name": "value__credit_all__current_balance", + "nullable": true + }, + "value__credit_all__minimum_balance": { + "data_type": "bigint", + "name": "value__credit_all__minimum_balance", + "nullable": true + }, + "value__emblem__current_balance": { + "data_type": "double", + "name": "value__emblem__current_balance", + "nullable": true + }, + "value__emblem__minimum_balance": { + "data_type": "bigint", + "name": "value__emblem__minimum_balance", + "nullable": true + }, + "value__from": { + "data_type": "text", + "name": "value__from", + "nullable": true + }, + "value__gringotts__current_balance": { + "data_type": "double", + "name": "value__gringotts__current_balance", + "nullable": true + }, + "value__gringotts__minimum_balance": { + "data_type": "bigint", + "name": "value__gringotts__minimum_balance", + "nullable": true + }, + "value__iron_bank__current_balance": { + "data_type": "double", + "name": "value__iron_bank__current_balance", + "nullable": true + }, + "value__iron_bank__minimum_balance": { + "data_type": "bigint", + "name": "value__iron_bank__minimum_balance", + "nullable": true + }, + "value__justice_bank__current_balance": { + "data_type": "double", + "name": "value__justice_bank__current_balance", + "nullable": true + }, + "value__justice_bank__minimum_balance": { + "data_type": "bigint", + "name": "value__justice_bank__minimum_balance", + "nullable": true + }, + "value__to": { + "data_type": "text", + "name": "value__to", + "nullable": true + } + }, + "event_slot__value": { + "_parent": { + "data_type": "text", + "name": "_parent", + "nullable": true + }, + "_parent_hash": { + "data_type": "text", + "name": "_parent_hash", + "nullable": true + }, + "_pos": { + "data_type": "bigint", + "name": "_pos", + "nullable": true + }, + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "_root_hash": { + "data_type": "text", + "name": "_root_hash", + "nullable": true + }, + "value": { + "data_type": "text", + "name": "value", + "nullable": true + } + }, + "event_slot__value__deposit__employer": { + "_parent": { + "data_type": "text", + "name": "_parent", + "nullable": true + }, + "_parent_hash": { + "data_type": "text", + "name": "_parent_hash", + "nullable": true + }, + "_pos": { + "data_type": "bigint", + "name": "_pos", + "nullable": true + }, + "_record_hash": { + "data_type": "text", + "name": "_record_hash", + "nullable": true + }, + "_root_hash": { + "data_type": "text", + "name": "_root_hash", + "nullable": true + }, + "amount": { + "data_type": "double", + "name": "amount", + "nullable": true + }, + "date": { + "data_type": "text", + "name": "date", + "nullable": true + } + }, + 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"timestamp", + "nullable": false + } + } +} \ No newline at end of file diff --git a/tests/loaders/cases/loading/event_bot.b1d32c6660b242aaabbf3fc27245b7e6.insert_values b/tests/loaders/cases/loading/event_bot.b1d32c6660b242aaabbf3fc27245b7e6.insert_values new file mode 100644 index 0000000000..72214ebd69 --- /dev/null +++ b/tests/loaders/cases/loading/event_bot.b1d32c6660b242aaabbf3fc27245b7e6.insert_values @@ -0,0 +1,26 @@ +INSERT INTO {}(event,timestamp,metadata__rasa_x_flagged,metadata__rasa_x_id,text,is_flagged,sender_id,model_id,environment,_load_id,_root_hash,_record_hash,metadata__context_scenario,metadata__holiday_name,metadata__link_1_url,metadata__link_2_url,metadata__requested_slot,metadata__travel_flight_class,metadata__iata_departure,metadata__travel_departure,metadata__iata_destination,metadata__travel_destination,metadata__city,metadata__utter_action,data__custom__attachment__type,data__custom__attachment__payload__template_type,data__custom__attachment__payload__text,data__custom__message__attachment__payload__template_type,data__custom__message__attachment__payload__text,data__custom__message__attachment__type,data__custom__recipient__id,metadata__mention,metadata__incorrect_city) +VALUES +('bot','2019-12-11T15:12:00.718201+00:00',False,21724,NULL,False,'2702447329813347','__unknown','__unknown','1634315551.907443','0413d2f40cae30be460be11ca2ececd7','0413d2f40cae30be460be11ca2ececd7',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,'template','button','Hello! Just a heads up - this bot is part of a research project and we intend to make the conversations publicly available to researchers. So please don''t share any personal information!',NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2019-12-11T15:12:02.430365+00:00',False,21726,'I take it you are traveling somewhere for christmas and cannot avoid flying there. I can help you purchase UN-certified carbon offsets against any flights you take. Would you be interested in that?',False,'2702447329813347','__unknown','__unknown','1634315551.907443','b0e85b336530e595dc5583c618fdf6f0','b0e85b336530e595dc5583c618fdf6f0',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2019-12-11T15:12:59.992717+00:00',False,21730,'Traveling, especially by airplane, usually emits greenhouse gases which are causing climate change. If you cannot avoid these emissions, you can buy ''offsets'', i.e. donations to projects that reduce greenhouse gases.',False,'2702447329813347','__unknown','__unknown','1634315551.907443','a0fb20ae769325adcec3f3cf6b70814e','a0fb20ae769325adcec3f3cf6b70814e',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2019-12-11T15:13:01.360264+00:00',False,21732,NULL,False,'2702447329813347','__unknown','__unknown','1634315551.907443','33ad0ed496933a06a9270b3e03993a47','33ad0ed496933a06a9270b3e03993a47',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,'template','button','A typical 3 hour flight will emit almost a ton of CO2 per economy passenger. If you cannot avoid flying, you can buy offsets for that carbon here: ',NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2019-12-11T15:13:02.589029+00:00',False,21734,'I can also get you a more accurate estimate of your flight''s emissions, sound good?',False,'2702447329813347','__unknown','__unknown','1634315551.907443','534daa956693ededdfa87d14437c51ce','534daa956693ededdfa87d14437c51ce',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2019-12-11T15:13:14.845843+00:00',False,21738,'Will you be travelling in Economy Class?',False,'2702447329813347','__unknown','__unknown','1634315551.907443','68435500bb5145134fe20833b92eb43a','68435500bb5145134fe20833b92eb43a','holiday','christmas','https://rasa.com/carbon/index.html?&rasaxhost=https://carbon.rasa.com&conversationId=2702447329813347&destination=https://offset.climateneutralnow.org/allprojects&label=link-1-clicked','https://rasa.com/carbon/index.html?&rasaxhost=https://carbon.rasa.com&conversationId=2702447329813347&destination=https://offset.climateneutralnow.org/allprojects&label=link-2-clicked',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2019-12-11T15:13:24.939808+00:00',False,21744,'What city will you be flying from?',False,'2702447329813347','__unknown','__unknown','1634315551.907443','5cecf9ec1eaf3d1ee6e64e53b3afb999','5cecf9ec1eaf3d1ee6e64e53b3afb999','holiday','christmas','https://rasa.com/carbon/index.html?&rasaxhost=https://carbon.rasa.com&conversationId=2702447329813347&destination=https://offset.climateneutralnow.org/allprojects&label=link-1-clicked','https://rasa.com/carbon/index.html?&rasaxhost=https://carbon.rasa.com&conversationId=2702447329813347&destination=https://offset.climateneutralnow.org/allprojects&label=link-2-clicked','travel_flight_class','economy',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2019-12-11T15:13:41.904635+00:00',False,21751,'And what city will you be flying to?',False,'2702447329813347','__unknown','__unknown','1634315551.907443','bc155523772a1794d7601debaf5ce22d','bc155523772a1794d7601debaf5ce22d','holiday','christmas','https://rasa.com/carbon/index.html?&rasaxhost=https://carbon.rasa.com&conversationId=2702447329813347&destination=https://offset.climateneutralnow.org/allprojects&label=link-1-clicked','https://rasa.com/carbon/index.html?&rasaxhost=https://carbon.rasa.com&conversationId=2702447329813347&destination=https://offset.climateneutralnow.org/allprojects&label=link-2-clicked','travel_departure','economy','HYD','Rajiv Gandhi International Airport',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2019-12-11T15:14:01.893957+00:00',False,21759,NULL,False,'2702447329813347','__unknown','__unknown','1634315551.907443','5ed2d13379448962328047597e25329d','5ed2d13379448962328047597e25329d',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,'template','button','A one-way flight from Rajiv Gandhi International Airport (HYD) to Pune Airport (PNQ) emits 0.2 tons of CO2. It would be amazing if you bought offsets for that carbon! There are some great, UN-certified projects you can pick from.',NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2019-12-13T07:12:46.657376+00:00',False,27447,NULL,False,'2702699813133041','__unknown','__unknown','1634315551.907443','3057d539542da3a0a6438b1072225451','3057d539542da3a0a6438b1072225451',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,'template','button','Hello! Just a heads up - this bot is part of a research project and we intend to make the conversations publicly available to researchers. So please don''t share any personal information!',NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2019-12-13T07:12:47.178051+00:00',False,27449,'I take it you are traveling somewhere for christmas and cannot avoid flying there. I can help you purchase UN-certified carbon offsets against any flights you take. Would you be interested in that?',False,'2702699813133041','__unknown','__unknown','1634315551.907443','fe1f881979c5c7fa9909b822bdcb030b','fe1f881979c5c7fa9909b822bdcb030b',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2019-12-13T07:13:11.204901+00:00',False,27453,'Will you be travelling in Economy Class?',False,'2702699813133041','__unknown','__unknown','1634315551.907443','b36f8d9a9773dd5f19d0dcf4d278789d','b36f8d9a9773dd5f19d0dcf4d278789d','holiday','christmas','https://rasa.com/carbon/index.html?&rasaxhost=https://carbon.rasa.com&conversationId=2702699813133041&destination=https://offset.climateneutralnow.org/allprojects&label=link-1-clicked','https://rasa.com/carbon/index.html?&rasaxhost=https://carbon.rasa.com&conversationId=2702699813133041&destination=https://offset.climateneutralnow.org/allprojects&label=link-2-clicked',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2019-12-13T07:13:19.912809+00:00',False,27464,'By buying certified carbon offsets, you support a project which reduces the total amount of carbon dioxide we put into the atmosphere. Planting trees, installing renewable power, and making buildings more energy efficient are common examples. You can read in detail about offsets at https://offset.climateneutralnow.org/faq_offset_footprint#Buyers .',False,'2702699813133041','__unknown','__unknown','1634315551.907443','07c7cf2c2473d0a64795e01004da484c','07c7cf2c2473d0a64795e01004da484c',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2020-04-30T07:01:39.408967+00:00',False,52286,NULL,False,'2704705506321944','__unknown','__unknown','1634315551.907443','d3f3c4b0e5289026274c252d0bb1d744','d3f3c4b0e5289026274c252d0bb1d744',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,'template','button','Hello! Just a heads up - this bot is part of a research project and we intend to make the conversations publicly available to researchers. So please don''t share any personal information!',NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2020-04-30T07:01:40.499403+00:00',False,52288,'I take it you are traveling somewhere and cannot avoid flying there. I can help you purchase certified carbon offsets against any flights you take. Would you be interested in that?',False,'2704705506321944','__unknown','__unknown','1634315551.907443','895052fa0b89084733d4c06cefce6c75','895052fa0b89084733d4c06cefce6c75',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2020-04-30T07:01:45.370030+00:00',False,52292,'Traveling, especially by airplane, usually emits greenhouse gases which are causing climate change. If you cannot avoid these emissions, you can buy ''offsets'', i.e. donations to projects that reduce greenhouse gases.',False,'2704705506321944','__unknown','__unknown','1634315551.907443','259199571325addeacae3195953c9d3e','259199571325addeacae3195953c9d3e',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2020-04-30T07:01:45.605630+00:00',False,52294,NULL,False,'2704705506321944','__unknown','__unknown','1634315551.907443','5a9a2933c22f072343c2557d8f0972c9','5a9a2933c22f072343c2557d8f0972c9',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,'template','button','A typical 3 hour flight will emit almost a ton of CO2 per economy passenger. If you cannot avoid flying, you can buy offsets for that carbon here: ',NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2020-04-30T07:01:45.955841+00:00',False,52296,'I can also get you a more accurate estimate of your flight''s emissions, sound good?',False,'2704705506321944','__unknown','__unknown','1634315551.907443','8dc9005d693b71dc694ad689b879f350','8dc9005d693b71dc694ad689b879f350',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2020-04-30T07:01:51.627927+00:00',False,52300,'I don''t have to put up with any abuse from you.',False,'2704705506321944','__unknown','__unknown','1634315551.907443','1728b9257ffcccadf34dca00e76afaa6','1728b9257ffcccadf34dca00e76afaa6',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2020-04-30T07:01:51.886223+00:00',False,52302,'I can also get you a more accurate estimate of your flight''s emissions, sound good?',False,'2704705506321944','__unknown','__unknown','1634315551.907443','249155b2bda1a9ac38a4111757b75f09','249155b2bda1a9ac38a4111757b75f09',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2019-12-15T18:26:29.264721+00:00',False,28953,NULL,False,'2705373016168570','__unknown','__unknown','1634315551.907443','911a472e3794dc9541dcb820106632d5','911a472e3794dc9541dcb820106632d5',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,'template','button','Hello! Just a heads up - this bot is part of a research project and we intend to make the conversations publicly available to researchers. So please don''t share any personal information!',NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2019-12-15T18:26:29.802562+00:00',False,28955,'I take it you are traveling somewhere for christmas and cannot avoid flying there. I can help you purchase UN-certified carbon offsets against any flights you take. Would you be interested in that?',False,'2705373016168570','__unknown','__unknown','1634315551.907443','4579eeb5d4018af5a5043bd4b91b5765','4579eeb5d4018af5a5043bd4b91b5765',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2019-12-15T18:26:51.205500+00:00',False,28959,'Traveling, especially by airplane, usually emits greenhouse gases which are causing climate change. If you cannot avoid these emissions, you can buy ''offsets'', i.e. donations to projects that reduce greenhouse gases.',False,'2705373016168570','__unknown','__unknown','1634315551.907443','6a3f844beec8e3c9231b10386520d584','6a3f844beec8e3c9231b10386520d584',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('bot','2019-12-13T07:09:03.354016+00:00',False,27437,'Sounds like I''m not understanding you. Sorry about that!',False,'3315807938489428','__unknown','__unknown','1634315551.907443','9891bf6362a13a7c622e53501c5796c6','9891bf6362a13a7c622e53501c5796c6',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL); \ No newline at end of file diff --git a/tests/loaders/cases/loading/event_loop_interrupted.839c6e6b514e427687586ccc65bf133f.jsonl b/tests/loaders/cases/loading/event_loop_interrupted.839c6e6b514e427687586ccc65bf133f.jsonl new file mode 100644 index 0000000000..7449582996 --- /dev/null +++ b/tests/loaders/cases/loading/event_loop_interrupted.839c6e6b514e427687586ccc65bf133f.jsonl @@ -0,0 +1,122 @@ +{"event": "loop_interrupted", "timestamp": "2020-03-20T04:54:12.576384+00:00", "metadata__rasa_x_flagged": false, "metadata__rasa_x_id": 48952, "is_interrupted": true, "is_flagged": false, "sender_id": "1599192453538535", "model_id": "__unknown", "environment": "__unknown", "_load_id": "1634236566.14622", "_root_hash": 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+('user','2019-12-13T07:13:19.886564+00:00',False,27461,'Maybe','express_uncertainty',0.9851461053,'Maybe','2d23f99385d342cdbb31e65b8aece0a6',False,27461,'facebook','2d23f99385d342cdbb31e65b8aece0a6',False,'2702699813133041','__unknown','__unknown','1634315551.907443','b65d2dd500e37f6348c07c3d2de15c71','b65d2dd500e37f6348c07c3d2de15c71','so',0.9794908166,NULL,NULL,NULL,NULL,NULL,NULL), +('user','2020-04-30T07:01:39.322863+00:00',False,52279,'/SCENARIO{"context_scenario": "holiday", "holiday_name": "christmas"}','SCENARIO',1.0,'/SCENARIO{"context_scenario": "holiday", "holiday_name": "christmas"}','276b14348539416d9c390f60f591465c',False,52279,'facebook','276b14348539416d9c390f60f591465c',False,'2704705506321944','__unknown','__unknown','1634315551.907443','1cc53b44c3e6e4a2ae42d767dbad049d','1cc53b44c3e6e4a2ae42d767dbad049d',NULL,NULL,NULL,NULL,NULL,NULL,NULL,NULL), +('user','2020-04-30T07:01:45.363702+00:00',False,52290,'foff','affirm',0.3833736777,'foff','86a268e377964f2e9aac191a5c42885c',False,52290,'facebook','86a268e377964f2e9aac191a5c42885c',False,'2704705506321944','__unknown','__unknown','1634315551.907443','ebd0e61a82d69823c8fbfa16d2cb1441','ebd0e61a82d69823c8fbfa16d2cb1441','so',0.8356570005,'faq/placeholder',NULL,NULL,NULL,NULL,NULL), +('user','2020-04-30T07:01:51.621150+00:00',False,52298,'fuck oof','faq',0.5898699164,'fuck oof','b330a512d9d941f6b6cdb514020b5597',False,52298,'facebook','b330a512d9d941f6b6cdb514020b5597',False,'2704705506321944','__unknown','__unknown','1634315551.907443','522a73c1be345cb248e371cdb52d3976','522a73c1be345cb248e371cdb52d3976','I don''t have to put up with any abuse from you.',0.9999960661,'faq/insult',NULL,NULL,NULL,NULL,NULL), +('user','2019-12-15T18:26:29.230536+00:00',False,28946,'/SCENARIO{"context_scenario": "holiday", "holiday_name": "christmas"}','SCENARIO',1.0,'/SCENARIO{"context_scenario": 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"primary_key": false, "foreign_key": false}, "_parent_hash": {"name": "_parent_hash", "data_type": "text", "nullable": false, "partition": false, "cluster": false, "sort": false, "unique": false, "primary_key": false, "foreign_key": true}, "_pos": {"name": "_pos", "data_type": "bigint", "nullable": false, "partition": false, "cluster": false, "sort": false, "unique": false, "primary_key": false, "foreign_key": false}}, "event_rewind": {"event": {"name": "event", "data_type": "text", "nullable": true, "partition": false, "cluster": false, "sort": false, "unique": false, "primary_key": false, "foreign_key": false}, "timestamp": {"name": "timestamp", "data_type": "timestamp", "nullable": false, "partition": true, "cluster": false, "sort": true, "unique": false, "primary_key": false, "foreign_key": false}, "metadata__rasa_x_flagged": {"name": "metadata__rasa_x_flagged", "data_type": "bool", "nullable": true, "partition": false, "cluster": false, "sort": false, "unique": false, "primary_key": false, "foreign_key": false}, "metadata__rasa_x_id": {"name": "metadata__rasa_x_id", "data_type": "bigint", "nullable": true, "partition": false, "cluster": false, "sort": false, "unique": false, "primary_key": false, "foreign_key": false}, "is_flagged": {"name": "is_flagged", "data_type": "bool", "nullable": true, "partition": false, "cluster": false, "sort": false, "unique": false, "primary_key": false, "foreign_key": false}, "sender_id": {"name": "sender_id", "data_type": "text", "nullable": false, "partition": false, "cluster": true, "sort": false, "unique": false, "primary_key": false, "foreign_key": false}, "model_id": {"name": "model_id", "data_type": "text", "nullable": true, "partition": false, "cluster": false, "sort": false, "unique": false, "primary_key": false, "foreign_key": false}, "environment": {"name": "environment", "data_type": "text", "nullable": true, "partition": false, "cluster": false, "sort": false, "unique": false, "primary_key": false, "foreign_key": false}, "_load_id": {"name": "_load_id", "data_type": "text", "nullable": false, "partition": false, "cluster": false, "sort": false, "unique": false, "primary_key": false, "foreign_key": false}, "_root_hash": {"name": "_root_hash", "data_type": "text", "nullable": false, "partition": false, "cluster": false, "sort": false, "unique": false, "primary_key": false, "foreign_key": false}, "_record_hash": {"name": "_record_hash", "data_type": "text", "nullable": false, "partition": false, "cluster": false, "sort": false, "unique": false, "primary_key": true, "foreign_key": false}}, "event_bot__metadata__travel_flight_class": {"value": {"name": "value", "data_type": "text", "nullable": true, "partition": false, "cluster": false, "sort": false, "unique": false, "primary_key": false, "foreign_key": false}, "_record_hash": {"name": "_record_hash", "data_type": "text", "nullable": false, "partition": false, "cluster": false, "sort": false, "unique": false, "primary_key": true, "foreign_key": false}, "_root_hash": {"name": "_root_hash", "data_type": "text", "nullable": false, "partition": false, "cluster": false, "sort": false, "unique": false, "primary_key": false, "foreign_key": false}, "_dist_key": {"name": "_dist_key", "data_type": "text", "nullable": false, "partition": false, "cluster": true, "sort": false, "unique": false, "primary_key": false, "foreign_key": false}, "_timestamp": {"name": "_timestamp", "data_type": "timestamp", "nullable": false, "partition": true, "cluster": false, "sort": true, "unique": false, "primary_key": false, "foreign_key": false}, "_parent_hash": {"name": "_parent_hash", "data_type": "text", "nullable": false, "partition": false, "cluster": false, "sort": false, "unique": false, "primary_key": false, "foreign_key": true}, "_pos": {"name": "_pos", "data_type": "bigint", "nullable": false, "partition": false, "cluster": false, "sort": false, "unique": false, "primary_key": false, "foreign_key": false}}}, "name": "event", "version": 27, "preferred_types": {"^timestamp$": "timestamp", "^_timestamp$": "timestamp", "^inserted_at$": "timestamp", "confidence": "double", "^_pos$": "bigint"}, "hints": {"not_null": ["^timestamp$", "^_timestamp$", "^_dist_key$", "^_record_hash$", "^_root_hash$", "^_load_id$", "^_parent_hash$", "^_pos$", "^sender_id$"], "partition": ["^_timestamp$", "^timestamp$"], "cluster": ["^_dist_key$", "^sender_id$"], "primary_key": ["^_record_hash$"], "foreign_key": ["^_parent_hash$"], "sort": ["^timestamp$", "^_timestamp$"], "unique": []}, "engine_version": 1} \ No newline at end of file diff --git a/tests/loaders/cases/loading/schema_updates.json b/tests/loaders/cases/loading/schema_updates.json new file mode 100644 index 0000000000..b4d2aa7962 --- /dev/null +++ b/tests/loaders/cases/loading/schema_updates.json @@ -0,0 +1 @@ +[{}, {}, {}, {}, {}] \ No newline at end of file diff --git a/tests/loaders/gcp/__init__.py b/tests/loaders/gcp/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/loaders/gcp/test_gcp_client.py b/tests/loaders/gcp/test_gcp_client.py new file mode 100644 index 0000000000..dd46036469 --- /dev/null +++ b/tests/loaders/gcp/test_gcp_client.py @@ -0,0 +1,214 @@ +import pytest +import io +from dlt.common import pendulum + +from dlt.common.file_storage import FileStorage +from dlt.common.configuration import GcpClientConfiguration +from dlt.common.utils import uniq_id +from dlt.common.schema import Schema, Table +from dlt.common.storages.schema_storage import SchemaStorage +from dlt.common.dataset_writers import write_jsonl + +from dlt.loaders.configuration import configuration +from dlt.loaders.gcp.client import BigQueryClient + +from tests.utils import TEST_STORAGE, delete_storage +from tests.loaders.utils import TABLE_UPDATE, TABLE_ROW, expect_load_file, prepare_event_user_table + + +@pytest.fixture(scope="module") +def gcp_client() -> BigQueryClient: + # create dataset with random name + CLIENT_CONFIG: GcpClientConfiguration = configuration({"CLIENT_TYPE": "gcp"}) + CLIENT_CONFIG.DATASET = "test_" + uniq_id() + # get event default schema + schema_storage = SchemaStorage("tests/common/cases/schemas/rasa") + schema = schema_storage.load_store_schema("event") + # create client and dataset + with BigQueryClient(schema, CLIENT_CONFIG) as client: + client.initialize_storage() + yield client + # delete dataset + dataset_name = client._to_canonical_schema_name() + client._client.delete_dataset(dataset_name, not_found_ok=True, delete_contents=True, retry=client.default_retry, timeout=client.C.TIMEOUT) + + +@pytest.fixture +def file_storage() -> FileStorage: + return FileStorage(TEST_STORAGE, file_type="b", makedirs=True) + + +@pytest.fixture(autouse=True) +def auto_delete_storage() -> None: + delete_storage() + + +@pytest.mark.order(1) +def test_initialize_storage(gcp_client: BigQueryClient) -> None: + pass + + +@pytest.mark.order(2) +def test_get_version_on_empty(gcp_client: BigQueryClient) -> None: + version = gcp_client._get_schema_version_from_storage() + assert version == 0 + + +@pytest.mark.order(3) +def test_get_update_basic_schema(gcp_client: BigQueryClient) -> None: + # schema update is not needed in gcp client + gcp_client.update_storage_schema() + version = gcp_client._get_schema_version_from_storage() + assert version == 1 + # modify version + gcp_client._update_schema_version(2) + version = gcp_client._get_schema_version_from_storage() + assert version == 2 + gcp_client._update_schema_version(1) + version = gcp_client._get_schema_version_from_storage() + assert version == 1 + # check if tables are present and identical + exists, version_storage_table = gcp_client._get_storage_table(Schema.VERSION_TABLE_NAME) + version_schema_table = gcp_client._get_table_by_name(Schema.VERSION_TABLE_NAME, ""); + assert exists is True + # schema version must be contained in storage version (schema may not have all hints) + assert version_schema_table.keys() == version_storage_table.keys() + assert all(set(v) <= set(version_storage_table[k]) for k, v in version_schema_table.items()) + + +@pytest.mark.order(4) +def test_complete_load(gcp_client: BigQueryClient) -> None: + gcp_client.update_storage_schema() + load_id = "182879721.182912" + gcp_client.complete_load(load_id) + load_table = gcp_client._to_canonical_table_name(Schema.LOADS_TABLE_NAME) + load_rows = list(gcp_client._execute_sql(f"SELECT * FROM {load_table}")) + assert len(load_rows) == 1 + assert load_rows[0][0] == load_id + assert load_rows[0][1] == 0 + import datetime + assert type(load_rows[0][2]) is datetime.datetime + gcp_client.complete_load("load2") + load_rows = list(gcp_client._execute_sql(f"SELECT * FROM {load_table}")) + assert len(load_rows) == 2 + + +@pytest.mark.order(5) +def test_schema_update_create_table(gcp_client: BigQueryClient) -> None: + # infer typical rasa event schema + schema = gcp_client.schema + # this will be partition + timestamp = schema._infer_column("timestamp", 182879721.182912) + # this will be cluster + sender_id = schema._infer_column("sender_id", "982398490809324") + # this will be not null + record_hash = schema._infer_column("_record_hash", "m,i0392903jdlkasjdlk") + schema.update_schema("event_test_table", [timestamp, sender_id, record_hash]) + gcp_client.update_storage_schema() + exists, storage_table = gcp_client._get_storage_table("event_test_table") + assert exists is True + assert storage_table["timestamp"]["partition"] is True + assert storage_table["sender_id"]["cluster"] is True + exists, storage_table = gcp_client._get_storage_table("_version") + assert exists is True + assert storage_table["version"]["partition"] is False + assert storage_table["version"]["cluster"] is False + + +@pytest.mark.order(6) +def test_schema_update_alter_table(gcp_client: BigQueryClient) -> None: + schema = gcp_client.schema + col1 = schema._infer_column("col1", "string") + table_name = "event_test_table" + uniq_id() + schema.update_schema(table_name, [col1]) + gcp_client.update_storage_schema() + # with single alter table + col2 = schema._infer_column("col2", 1) + schema.update_schema(table_name, [col2]) + gcp_client.update_storage_schema() + # with 2 alter tables + col3 = schema._infer_column("col3", 1.2) + col4 = schema._infer_column("col4", 182879721.182912) + col4["data_type"] = "timestamp" + schema.update_schema(table_name, [col3, col4]) + gcp_client.update_storage_schema() + _, storage_table = gcp_client._get_storage_table(table_name) + # 4 columns + assert len(storage_table) == 4 + assert storage_table["col4"]["data_type"] == "timestamp" + + +@pytest.mark.order(7) +def test_get_storage_table_with_all_types(gcp_client: BigQueryClient) -> None: + schema = gcp_client.schema + table_name = "event_test_table" + uniq_id() + schema.update_schema(table_name, TABLE_UPDATE) + gcp_client.update_storage_schema() + exists, storage_table = gcp_client._get_storage_table(table_name) + assert exists is True + # column order must match TABLE_UPDATE + storage_columns = list(storage_table.values()) + for c, s_c in zip(TABLE_UPDATE, storage_columns): + assert c["name"] == s_c["name"] + assert c["data_type"] == s_c["data_type"] + + +@pytest.mark.order(8) +def test_load_with_all_types(gcp_client: BigQueryClient, file_storage: FileStorage) -> None: + schema = gcp_client.schema + table_name = "event_test_table" + uniq_id() + schema.update_schema(table_name, TABLE_UPDATE) + gcp_client.update_storage_schema() + canonical_name = gcp_client._to_canonical_table_name(table_name) + # write row + with io.StringIO() as f: + write_jsonl(f, [TABLE_ROW]) + query = f.getvalue() + expect_load_file(gcp_client, file_storage, query, table_name) + db_row = list(list(gcp_client._execute_sql(f"SELECT * FROM {canonical_name}"))[0]) + # content must equal + db_row[3] = str(pendulum.instance(db_row[3])) # serialize date + assert db_row == list(TABLE_ROW.values()) + + +# @pytest.mark.order(9) +# def test_loading_errors(client: gcp_client, file_storage: FileStorage) -> None: +# user_table_name = prepare_event_user_table(client) +# # insert into unknown column +# insert_sql = "INSERT INTO {}(_record_hash, _root_hash, sender_id, timestamp, _unk_) VALUES\n" +# insert_values = f"('{uniq_id()}', '{uniq_id()}', '90238094809sajlkjxoiewjhduuiuehd', '{str(pendulum.now())}', NULL);" +# with pytest.raises(LoadClientTerminalInnerException) as exv: +# expect_load_file(client, file_storage, insert_sql+insert_values, user_table_name) +# assert type(exv.value.inner_exc) is psycopg2.errors.UndefinedColumn +# # insert null value +# insert_sql = "INSERT INTO {}(_record_hash, _root_hash, sender_id, timestamp) VALUES\n" +# insert_values = f"('{uniq_id()}', '{uniq_id()}', '90238094809sajlkjxoiewjhduuiuehd', NULL);" +# with pytest.raises(LoadClientTerminalInnerException) as exv: +# expect_load_file(client, file_storage, insert_sql+insert_values, user_table_name) +# assert type(exv.value.inner_exc) is psycopg2.errors.InternalError_ +# # insert wrong type +# insert_sql = "INSERT INTO {}(_record_hash, _root_hash, sender_id, timestamp) VALUES\n" +# insert_values = f"('{uniq_id()}', '{uniq_id()}', '90238094809sajlkjxoiewjhduuiuehd', TRUE);" +# with pytest.raises(LoadClientTerminalInnerException) as exv: +# expect_load_file(client, file_storage, insert_sql+insert_values, user_table_name) +# assert type(exv.value.inner_exc) is psycopg2.errors.DatatypeMismatch +# # numeric overflow on bigint +# insert_sql = "INSERT INTO {}(_record_hash, _root_hash, sender_id, timestamp, metadata__rasa_x_id) VALUES\n" +# # 2**64//2 - 1 is a maximum bigint value +# insert_values = f"('{uniq_id()}', '{uniq_id()}', '90238094809sajlkjxoiewjhduuiuehd', '{str(pendulum.now())}', {2**64//2});" +# with pytest.raises(LoadClientTerminalInnerException) as exv: +# expect_load_file(client, file_storage, insert_sql+insert_values, user_table_name) +# assert type(exv.value.inner_exc) is psycopg2.errors.NumericValueOutOfRange +# # numeric overflow on NUMERIC +# insert_sql = "INSERT INTO {}(_record_hash, _root_hash, sender_id, timestamp, parse_data__intent__id) VALUES\n" +# # default redshift decimal is (18, 0) (64 bit) +# insert_values = f"('{uniq_id()}', '{uniq_id()}', '90238094809sajlkjxoiewjhduuiuehd', '{str(pendulum.now())}', {10**18});" +# with pytest.raises(LoadClientTerminalInnerException) as exv: +# expect_load_file(client, file_storage, insert_sql+insert_values, user_table_name) +# assert type(exv.value.inner_exc) is psycopg2.errors.InternalError_ +# # max redshift decimal is (38, 0) (128 bit) = 10**38 - 1 +# insert_sql = "INSERT INTO {}(_record_hash, _root_hash, sender_id, timestamp, parse_data__metadata__rasa_x_id) VALUES\n" +# insert_values = f"('{uniq_id()}', '{uniq_id()}', '90238094809sajlkjxoiewjhduuiuehd', '{str(pendulum.now())}', {10**38});" +# with pytest.raises(LoadClientTerminalInnerException) as exv: +# expect_load_file(client, file_storage, insert_sql+insert_values, user_table_name) +# assert type(exv.value.inner_exc) is psycopg2.errors.InternalError_ \ No newline at end of file diff --git a/tests/loaders/gcp/test_gcp_table_builder.py b/tests/loaders/gcp/test_gcp_table_builder.py new file mode 100644 index 0000000000..8cd8e828df --- /dev/null +++ b/tests/loaders/gcp/test_gcp_table_builder.py @@ -0,0 +1,125 @@ +import os +import pytest +from copy import deepcopy +from typing import List + +from dlt.common.utils import uniq_id +from dlt.common.schema import Column, Schema, Table +from dlt.common.configuration import make_configuration, GcpClientConfiguration + +from dlt.loaders.configuration import configuration +from dlt.loaders.gcp.client import BigQueryClient +from dlt.loaders.exceptions import LoadClientSchemaWillNotUpdate + +from tests.loaders.utils import TABLE_UPDATE + + + +@pytest.fixture +def schema() -> Schema: + return Schema("event") + + +# run in forked mode so config overrides do not apply +@pytest.mark.forked +def test_configuration() -> None: + # check names normalized + os.environ["BQ_CRED_PRIVATE_KEY"] = "---NO NEWLINE---" + C = make_configuration(GcpClientConfiguration, GcpClientConfiguration) + assert C.BQ_CRED_PRIVATE_KEY == "---NO NEWLINE---\n" + + os.environ["BQ_CRED_PRIVATE_KEY"] = "---WITH NEWLINE---\n" + C = make_configuration(GcpClientConfiguration, GcpClientConfiguration) + assert C.BQ_CRED_PRIVATE_KEY == "---WITH NEWLINE---\n" + + +@pytest.fixture +def gcp_client(schema: Schema) -> BigQueryClient: + # return client without opening connection + CLIENT_CONFIG: GcpClientConfiguration = configuration({"CLIENT_TYPE": "gcp"}) + CLIENT_CONFIG.DATASET = uniq_id() + return BigQueryClient(schema, CLIENT_CONFIG) + + +def test_create_table(gcp_client: BigQueryClient) -> None: + gcp_client.schema.update_schema("event_test_table", TABLE_UPDATE) + sql = gcp_client._get_table_update_sql("event_test_table", {}, False) + assert sql.startswith("CREATE TABLE") + assert "event_test_table" in sql + assert "`col1` INTEGER NOT NULL" in sql + assert "`col2` FLOAT64 NOT NULL" in sql + assert "`col3` BOOLEAN NOT NULL" in sql + assert "`col4` TIMESTAMP NOT NULL" in sql + assert "`col5` STRING " in sql + assert "`col6` NUMERIC(38,9) NOT NULL" in sql + assert "`col7` BYTES" in sql + assert "`col8` BIGNUMERIC )" in sql + assert "CLUSTER BY" not in sql + assert "PARTITION BY" not in sql + + +def test_alter_table(gcp_client: BigQueryClient) -> None: + gcp_client.schema.update_schema("event_test_table", TABLE_UPDATE) + # table has no columns + sql = gcp_client._get_table_update_sql("event_test_table", {}, True) + assert sql.startswith("ALTER TABLE") + assert "event_test_table" in sql + assert "ADD COLUMN `col1` INTEGER NOT NULL" in sql + assert "ADD COLUMN `col2` FLOAT64 NOT NULL" in sql + assert "ADD COLUMN `col3` BOOLEAN NOT NULL" in sql + assert "ADD COLUMN `col4` TIMESTAMP NOT NULL" in sql + assert "ADD COLUMN `col5` STRING" in sql + assert "ADD COLUMN `col6` NUMERIC(38,9) NOT NULL" in sql + assert "ADD COLUMN `col7` BYTES" in sql + assert "ADD COLUMN `col8` BIGNUMERIC" in sql + # table has col1 already in storage + sql = gcp_client._get_table_update_sql("event_test_table", {"col1": {}}, True) + assert "ADD COLUMN `col1` INTEGER NOT NULL" not in sql + assert "ADD COLUMN `col2` FLOAT64 NOT NULL" in sql + + +def test_create_table_with_partition_and_cluster(gcp_client: BigQueryClient) -> None: + mod_update = deepcopy(TABLE_UPDATE) + # timestamp + mod_update[3]["partition"] = True + mod_update[4]["cluster"] = True + mod_update[1]["cluster"] = True + gcp_client.schema.update_schema("event_test_table", mod_update) + sql = gcp_client._get_table_update_sql("event_test_table", {}, False) + # clustering must be the last + assert sql.endswith("CLUSTER BY `col2`,`col5`") + assert "PARTITION BY DATE(`col4`)" in sql + + +def test_double_partition_exception(gcp_client: BigQueryClient) -> None: + mod_update = deepcopy(TABLE_UPDATE) + # timestamp + mod_update[3]["partition"] = True + mod_update[4]["partition"] = True + # double partition + gcp_client.schema.update_schema("event_test_table", mod_update) + with pytest.raises(LoadClientSchemaWillNotUpdate) as excc: + gcp_client._get_table_update_sql("event_test_table", {}, False) + assert excc.value.columns == ["`col4`", "`col5`"] + + +def test_partition_alter_table_exception(gcp_client: BigQueryClient) -> None: + mod_update = deepcopy(TABLE_UPDATE) + # timestamp + mod_update[3]["partition"] = True + # double partition + gcp_client.schema.update_schema("event_test_table", mod_update) + with pytest.raises(LoadClientSchemaWillNotUpdate) as excc: + gcp_client._get_table_update_sql("event_test_table", {}, True) + assert excc.value.columns == ["`col4`"] + + +def test_cluster_alter_table_exception(gcp_client: BigQueryClient) -> None: + mod_update = deepcopy(TABLE_UPDATE) + # timestamp + mod_update[3]["cluster"] = True + # double partition + gcp_client.schema.update_schema("event_test_table", mod_update) + with pytest.raises(LoadClientSchemaWillNotUpdate) as excc: + gcp_client._get_table_update_sql("event_test_table", {}, True) + assert excc.value.columns == ["`col4`"] diff --git a/tests/loaders/redshift/__init__.py b/tests/loaders/redshift/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/loaders/redshift/setup_db.sql b/tests/loaders/redshift/setup_db.sql new file mode 100644 index 0000000000..5e600c17e5 --- /dev/null +++ b/tests/loaders/redshift/setup_db.sql @@ -0,0 +1,19 @@ +CREATE DATABASE $database; +REVOKE ALL PRIVILEGES ON DATABASE $database FROM PUBLIC; + +-- \connect $database +DROP SCHEMA public; +-- SET search_path = data; don't use search paths +CREATE USER $user WITH PASSWORD '$password'; +GRANT CONNECT ON DATABASE $database TO $user; +ALTER DATABASE $database OWNER TO $user + + +-- minimum permissions to all schemas created by the user: so we can have db owner vs. schema owner +ALTER SCHEMA data OWNER TO $user + +GRANT CREATE ON SCHEMA data TO $user + +ALTER DEFAULT PRIVILEGES FOR ROLE ${database}_owner GRANT SELECT, INSERT, UPDATE, DELETE, TRUNCATE ON TABLES TO $user +ALTER DEFAULT PRIVILEGES FOR ROLE ${database}_owner GRANT SELECT, UPDATE ON SEQUENCES TO $user +ALTER DEFAULT PRIVILEGES FOR ROLE ${database}_owner GRANT EXECUTE ON FUNCTIONS TO $user \ No newline at end of file diff --git a/tests/loaders/redshift/test_redshift_client.py b/tests/loaders/redshift/test_redshift_client.py new file mode 100644 index 0000000000..2ff79118ae --- /dev/null +++ b/tests/loaders/redshift/test_redshift_client.py @@ -0,0 +1,335 @@ +import io +import psycopg2 +import pytest + +from dlt.common import pendulum, Decimal +from dlt.common.arithmetics import numeric_default_context +from dlt.common.configuration import PostgresConfiguration +from dlt.common.file_storage import FileStorage +from dlt.common.schema import Schema, Table +from dlt.common.utils import uniq_id +from dlt.common.storages.schema_storage import SchemaStorage +from dlt.common.dataset_writers import write_insert_values + +from dlt.loaders.configuration import configuration +from dlt.loaders.exceptions import LoadClientTerminalInnerException +from dlt.loaders.redshift.client import RedshiftClient + +from tests.utils import TEST_STORAGE, delete_storage +from tests.common.utils import load_json_case +from tests.loaders.utils import TABLE_UPDATE, TABLE_ROW, expect_load_file, prepare_event_user_table + + +@pytest.fixture +def file_storage() -> FileStorage: + return FileStorage(TEST_STORAGE, file_type="b", makedirs=True) + + +@pytest.fixture(autouse=True) +def auto_delete_storage() -> None: + delete_storage() + + +@pytest.fixture(scope="module") +def client() -> RedshiftClient: + # create dataset with random name + CLIENT_CONFIG: PostgresConfiguration = configuration({"CLIENT_TYPE": "redshift"}) + CLIENT_CONFIG.PG_SCHEMA_PREFIX = "test_" + uniq_id() + # get event default schema + schema_storage = SchemaStorage("tests/common/cases/schemas/rasa") + schema = schema_storage.load_store_schema("event") + # create client and dataset + with RedshiftClient(schema, CLIENT_CONFIG) as client: + client.initialize_storage() + yield client + # delete dataset + schema_name = client._to_canonical_schema_name() + client._execute_sql(f"DROP SCHEMA {schema_name} CASCADE") + + +@pytest.mark.order(1) +def test_initialize_storage(client: RedshiftClient) -> None: + pass + + +@pytest.mark.order(2) +def test_get_version_on_empty(client: RedshiftClient) -> None: + version = client._get_schema_version_from_storage() + assert version == 0 + + +@pytest.mark.order(3) +def test_get_update_basic_schema(client: RedshiftClient) -> None: + client.update_storage_schema() + version = client._get_schema_version_from_storage() + assert version == 1 + # modify version + client._update_schema_version(2) + version = client._get_schema_version_from_storage() + assert version == 2 + client._update_schema_version(1) + version = client._get_schema_version_from_storage() + assert version == 1 + # check if tables are present and identical + exists, version_storage_table = client._get_storage_table(Schema.VERSION_TABLE_NAME) + version_schema_table = client._get_table_by_name(Schema.VERSION_TABLE_NAME, ""); + assert exists is True + # schema version must be contained in storage version (schema may not have all hints) + assert version_schema_table.keys() == version_storage_table.keys() + assert all(set(v) <= set(version_storage_table[k]) for k, v in version_schema_table.items()) + + +@pytest.mark.order(4) +def test_complete_load(client: RedshiftClient) -> None: + client.update_storage_schema() + load_id = "182879721.182912" + client.complete_load(load_id) + load_table = client._to_canonical_table_name(Schema.LOADS_TABLE_NAME) + load_rows = list(client._execute_sql(f"SELECT * FROM {load_table}")) + assert len(load_rows) == 1 + assert load_rows[0][0] == load_id + assert load_rows[0][1] == 0 + import datetime + assert type(load_rows[0][2]) is datetime.datetime + client.complete_load("load2") + load_rows = list(client._execute_sql(f"SELECT * FROM {load_table}")) + assert len(load_rows) == 2 + + +@pytest.mark.order(5) +def test_schema_update_create_table(client: RedshiftClient) -> None: + # infer typical rasa event schema + schema = client.schema + table_name = "event_test_table" + uniq_id() + # this will be sort + timestamp = schema._infer_column("timestamp", 182879721.182912) + assert timestamp["sort"] is True + # this will be destkey + sender_id = schema._infer_column("sender_id", "982398490809324") + assert sender_id["cluster"] is True + # this will be not null + record_hash = schema._infer_column("_record_hash", "m,i0392903jdlkasjdlk") + assert record_hash["unique"] is True + schema.update_schema(table_name, [timestamp, sender_id, record_hash]) + client.update_storage_schema() + exists, _ = client._get_storage_table(table_name) + assert exists is True + + +@pytest.mark.order(6) +def test_schema_update_alter_table(client: RedshiftClient) -> None: + schema = client.schema + col1 = schema._infer_column("col1", "string") + table_name = "event_test_table" + uniq_id() + schema.update_schema(table_name, [col1]) + client.update_storage_schema() + # with single alter table + col2 = schema._infer_column("col2", 1) + schema.update_schema(table_name, [col2]) + client.update_storage_schema() + # with 2 alter tables + col3 = schema._infer_column("col3", 1.2) + col4 = schema._infer_column("col4", 182879721.182912) + col4["data_type"] = "timestamp" + schema.update_schema(table_name, [col3, col4]) + client.update_storage_schema() + _, storage_table = client._get_storage_table(table_name) + # 4 columns + assert len(storage_table) == 4 + assert storage_table["col4"]["data_type"] == "timestamp" + + +@pytest.mark.order(7) +def test_recover_tx_rollback(client: RedshiftClient) -> None: + client.update_storage_schema() + version_table = client._to_canonical_table_name("_version"); + # simple syntax error + sql = f"SELEXT * FROM {version_table}" + with pytest.raises(psycopg2.errors.SyntaxError): + client._execute_sql(sql) + # still can execute tx and selects + client._get_schema_version_from_storage() + client._update_schema_version(3) + # syntax error within tx + sql = f"BEGIN TRANSACTION;INVERT INTO {version_table} VALUES(1);COMMIT TRANSACTION;" + with pytest.raises(psycopg2.errors.SyntaxError): + client._execute_sql(sql) + client._get_schema_version_from_storage() + client._update_schema_version(4) + # wrong value inserted + sql = f"BEGIN TRANSACTION;INSERT INTO {version_table}(version) VALUES(1);COMMIT TRANSACTION;" + # cannot insert NULL value + with pytest.raises(psycopg2.errors.InternalError_): + client._execute_sql(sql) + client._get_schema_version_from_storage() + client._update_schema_version(4) + + +@pytest.mark.order(8) +def test_simple_load(client: RedshiftClient, file_storage: FileStorage) -> None: + user_table_name = prepare_event_user_table(client) + canonical_name = client._to_canonical_table_name(user_table_name) + # create insert + insert_sql = "INSERT INTO {}(_record_hash, _root_hash, sender_id, timestamp) VALUES\n" + insert_values = f"('{uniq_id()}', '{uniq_id()}', '90238094809sajlkjxoiewjhduuiuehd', '{str(pendulum.now())}')" + expect_load_file(client, file_storage, insert_sql+insert_values+";", user_table_name) + rows_count = client._execute_sql(f"SELECT COUNT(1) FROM {canonical_name}")[0][0] + assert rows_count == 1 + # insert 100 more rows + query = insert_sql + (insert_values + ",\n") * 99 + insert_values + ";" + expect_load_file(client, file_storage, query, user_table_name) + rows_count = client._execute_sql(f"SELECT COUNT(1) FROM {canonical_name}")[0][0] + assert rows_count == 101 + # insert null value + insert_sql_nc = "INSERT INTO {}(_record_hash, _root_hash, sender_id, timestamp, text) VALUES\n" + insert_values_nc = f"('{uniq_id()}', '{uniq_id()}', '90238094809sajlkjxoiewjhduuiuehd', '{str(pendulum.now())}', NULL);" + expect_load_file(client, file_storage, insert_sql_nc+insert_values_nc, user_table_name) + rows_count = client._execute_sql(f"SELECT COUNT(1) FROM {canonical_name}")[0][0] + assert rows_count == 102 + + +@pytest.mark.order(9) +def test_loading_errors(client: RedshiftClient, file_storage: FileStorage) -> None: + user_table_name = prepare_event_user_table(client) + # insert into unknown column + insert_sql = "INSERT INTO {}(_record_hash, _root_hash, sender_id, timestamp, _unk_) VALUES\n" + insert_values = f"('{uniq_id()}', '{uniq_id()}', '90238094809sajlkjxoiewjhduuiuehd', '{str(pendulum.now())}', NULL);" + with pytest.raises(LoadClientTerminalInnerException) as exv: + expect_load_file(client, file_storage, insert_sql+insert_values, user_table_name) + assert type(exv.value.inner_exc) is psycopg2.errors.UndefinedColumn + # insert null value + insert_sql = "INSERT INTO {}(_record_hash, _root_hash, sender_id, timestamp) VALUES\n" + insert_values = f"('{uniq_id()}', '{uniq_id()}', '90238094809sajlkjxoiewjhduuiuehd', NULL);" + with pytest.raises(LoadClientTerminalInnerException) as exv: + expect_load_file(client, file_storage, insert_sql+insert_values, user_table_name) + assert type(exv.value.inner_exc) is psycopg2.errors.InternalError_ + # insert wrong type + insert_sql = "INSERT INTO {}(_record_hash, _root_hash, sender_id, timestamp) VALUES\n" + insert_values = f"('{uniq_id()}', '{uniq_id()}', '90238094809sajlkjxoiewjhduuiuehd', TRUE);" + with pytest.raises(LoadClientTerminalInnerException) as exv: + expect_load_file(client, file_storage, insert_sql+insert_values, user_table_name) + assert type(exv.value.inner_exc) is psycopg2.errors.DatatypeMismatch + # numeric overflow on bigint + insert_sql = "INSERT INTO {}(_record_hash, _root_hash, sender_id, timestamp, metadata__rasa_x_id) VALUES\n" + # 2**64//2 - 1 is a maximum bigint value + insert_values = f"('{uniq_id()}', '{uniq_id()}', '90238094809sajlkjxoiewjhduuiuehd', '{str(pendulum.now())}', {2**64//2});" + with pytest.raises(LoadClientTerminalInnerException) as exv: + expect_load_file(client, file_storage, insert_sql+insert_values, user_table_name) + assert type(exv.value.inner_exc) is psycopg2.errors.NumericValueOutOfRange + # numeric overflow on NUMERIC + insert_sql = "INSERT INTO {}(_record_hash, _root_hash, sender_id, timestamp, parse_data__intent__id) VALUES\n" + # default decimal is (38, 9) (128 bit), use local context to generate decimals with 38 precision + with numeric_default_context(): + below_limit = Decimal(10**29) - Decimal('0.001') + above_limit = Decimal(10**29) + # this will pass + insert_values = f"('{uniq_id()}', '{uniq_id()}', '90238094809sajlkjxoiewjhduuiuehd', '{str(pendulum.now())}', {below_limit});" + expect_load_file(client, file_storage, insert_sql+insert_values, user_table_name) + # this will raise + insert_values = f"('{uniq_id()}', '{uniq_id()}', '90238094809sajlkjxoiewjhduuiuehd', '{str(pendulum.now())}', {above_limit});" + with pytest.raises(LoadClientTerminalInnerException) as exv: + expect_load_file(client, file_storage, insert_sql+insert_values, user_table_name) + assert type(exv.value.inner_exc) is psycopg2.errors.InternalError_ + # max redshift decimal is (38, 0) (128 bit) = 10**38 - 1 + insert_sql = "INSERT INTO {}(_record_hash, _root_hash, sender_id, timestamp, parse_data__metadata__rasa_x_id) VALUES\n" + insert_values = f"('{uniq_id()}', '{uniq_id()}', '90238094809sajlkjxoiewjhduuiuehd', '{str(pendulum.now())}', {10**38});" + with pytest.raises(LoadClientTerminalInnerException) as exv: + expect_load_file(client, file_storage, insert_sql+insert_values, user_table_name) + assert type(exv.value.inner_exc) is psycopg2.errors.InternalError_ + + +@pytest.mark.order(10) +def test_data_writer_load(client: RedshiftClient, file_storage: FileStorage) -> None: + rows, table_name = prepare_schema(client, "simple_row") + canonical_name = client._to_canonical_table_name(table_name) + # write only first row + with io.StringIO() as f: + write_insert_values(f, [rows[0]], rows[0].keys()) + query = f.getvalue() + expect_load_file(client, file_storage, query, table_name) + db_row = client._execute_sql(f"SELECT * FROM {canonical_name}")[0] + # content must equal + assert list(db_row) == list(rows[0].values()) + # write second row that contains two nulls + with io.StringIO() as f: + write_insert_values(f, [rows[1]], rows[0].keys()) + query = f.getvalue() + expect_load_file(client, file_storage, query, table_name) + db_row = client._execute_sql(f"SELECT * FROM {canonical_name} WHERE f_int = {rows[1]['f_int']}")[0] + assert db_row[3] is None + assert db_row[5] is None + + +@pytest.mark.order(11) +def test_data_writer_string_escape(client: RedshiftClient, file_storage: FileStorage) -> None: + rows, table_name = prepare_schema(client, "simple_row") + canonical_name = client._to_canonical_table_name(table_name) + row = rows[0] + # this will really drop table without escape + inj_str = f", NULL'); DROP TABLE {canonical_name} --" + row["f_str"] = inj_str + with io.StringIO() as f: + write_insert_values(f, [rows[0]], rows[0].keys()) + query = f.getvalue() + expect_load_file(client, file_storage, query, table_name) + db_row = client._execute_sql(f"SELECT * FROM {canonical_name}")[0] + assert list(db_row) == list(row.values()) + + +pytest.mark.order(12) +def test_data_writer_string_escape(client: RedshiftClient, file_storage: FileStorage) -> None: + rows, table_name = prepare_schema(client, "weird_rows") + canonical_name = client._to_canonical_table_name(table_name) + with io.StringIO() as f: + write_insert_values(f, rows, rows[0].keys()) + query = f.getvalue() + expect_load_file(client, file_storage, query, table_name) + for i in range(1,4): + db_row = client._execute_sql(f"SELECT str FROM {canonical_name} WHERE idx = {i}") + assert db_row[0][0] == rows[i-1]["str"] + + +@pytest.mark.order(13) +def test_get_storage_table_with_all_types(client: RedshiftClient) -> None: + schema = client.schema + table_name = "event_test_table" + uniq_id() + schema.update_schema(table_name, TABLE_UPDATE) + client.update_storage_schema() + exists, storage_table = client._get_storage_table(table_name) + assert exists is True + # column order must match TABLE_UPDATE + storage_columns = list(storage_table.values()) + for c, s_c in zip(TABLE_UPDATE, storage_columns): + assert c["name"] == s_c["name"] + assert c["data_type"] == s_c["data_type"] + + +@pytest.mark.order(14) +def test_load_with_all_types(client: RedshiftClient, file_storage: FileStorage) -> None: + schema = client.schema + table_name = "event_test_table" + uniq_id() + schema.update_schema(table_name, TABLE_UPDATE) + client.update_storage_schema() + canonical_name = client._to_canonical_table_name(table_name) + # write row + with io.StringIO() as f: + write_insert_values(f, [TABLE_ROW], TABLE_ROW.keys()) + query = f.getvalue() + expect_load_file(client, file_storage, query, table_name) + db_row = list(client._execute_sql(f"SELECT * FROM {canonical_name}")[0]) + # content must equal + db_row[3] = str(pendulum.instance(db_row[3])) # serialize date + db_row[6] = bytes.fromhex(db_row[6]) # redshift returns binary as hex string + + assert db_row == list(TABLE_ROW.values()) + + +def prepare_schema(client: RedshiftClient, case: str) -> None: + client.update_storage_schema() + rows = load_json_case(case) + # use first row to infer table + table: Table = {k: client.schema._infer_column(k, v) for k, v in rows[0].items()} + table_name = f"event_{case}_{uniq_id()}" + client.schema.update_schema(table_name, table.values()) + client.update_storage_schema() + return rows, table_name diff --git a/tests/loaders/redshift/test_redshift_table_builder.py b/tests/loaders/redshift/test_redshift_table_builder.py new file mode 100644 index 0000000000..0686a89d61 --- /dev/null +++ b/tests/loaders/redshift/test_redshift_table_builder.py @@ -0,0 +1,101 @@ +import os +import pytest +from copy import deepcopy + +from dlt.common.schema import Schema +from dlt.common.utils import uniq_id +from dlt.common.configuration import make_configuration, PostgresConfiguration + +from dlt.loaders.configuration import configuration +from dlt.loaders.redshift.client import RedshiftClient +from dlt.loaders.exceptions import LoadClientSchemaWillNotUpdate + +from tests.loaders.utils import TABLE_UPDATE + + +@pytest.fixture +def schema() -> Schema: + return Schema("event") + + +@pytest.fixture +def client(schema: Schema) -> RedshiftClient: + # return client without opening connection + CLIENT_CONFIG: PostgresConfiguration = configuration({"CLIENT_TYPE": "redshift"}) + CLIENT_CONFIG.PG_SCHEMA_PREFIX = "TEST" + uniq_id() + return RedshiftClient(schema, CLIENT_CONFIG) + + +# run in forked mode so config overrides do not apply +@pytest.mark.forked +def test_configuration() -> None: + # check names normalized + os.environ["PG_DATABASE_NAME"] = "UPPER_CASE_DATABASE" + os.environ["PG_PASSWORD"] = " pass\n" + C = make_configuration(PostgresConfiguration, PostgresConfiguration) + assert C.PG_DATABASE_NAME == "upper_case_database" + assert C.PG_PASSWORD == "pass" + + +def test_create_table(client: RedshiftClient) -> None: + client.schema.update_schema("event_test_table", TABLE_UPDATE) + sql = client._get_table_update_sql("event_test_table", {}, False) + assert sql.startswith("BEGIN TRANSACTION;\n") + assert "event_test_table" in sql + assert '"col1" bigint NOT NULL' in sql + assert '"col2" double precision NOT NULL' in sql + assert '"col3" boolean NOT NULL' in sql + assert '"col4" timestamp with time zone NOT NULL' in sql + assert '"col5" varchar(max)' in sql + assert '"col6" numeric(38,9) NOT NULL' in sql + assert '"col7" varbinary' in sql + assert '"col8" numeric(38,0)' in sql + assert sql.endswith('\nCOMMIT TRANSACTION;') + + +def test_alter_table(client: RedshiftClient) -> None: + client.schema.update_schema("event_test_table", TABLE_UPDATE) + # table has no columns + sql = client._get_table_update_sql("event_test_table", {}, True) + canonical_name = client._to_canonical_table_name("event_test_table") + assert sql.startswith("BEGIN TRANSACTION;\n") + # must have several ALTER TABLE statements + assert sql.count(f"ALTER TABLE {canonical_name}\nADD COLUMN") == len(TABLE_UPDATE) + assert "event_test_table" in sql + assert '"col1" bigint NOT NULL' in sql + assert '"col2" double precision NOT NULL' in sql + assert '"col3" boolean NOT NULL' in sql + assert '"col4" timestamp with time zone NOT NULL' in sql + assert '"col5" varchar(max)' in sql + assert '"col6" numeric(38,9) NOT NULL' in sql + assert '"col7" varbinary' in sql + assert '"col8" numeric(38,0)' in sql + assert sql.endswith("\nCOMMIT TRANSACTION;") + + +def test_create_table_with_hints(client: RedshiftClient) -> None: + mod_update = deepcopy(TABLE_UPDATE) + # timestamp + mod_update[0]["primary_key"] = True + mod_update[0]["sort"] = True + mod_update[1]["cluster"] = True + mod_update[4]["cluster"] = True + client.schema.update_schema("event_test_table", mod_update) + sql = client._get_table_update_sql("event_test_table", {}, False) + # PRIMARY KEY will not be present https://heap.io/blog/redshift-pitfalls-avoid + assert '"col1" bigint SORTKEY NOT NULL' in sql + assert '"col2" double precision DISTKEY NOT NULL' in sql + assert '"col5" varchar(max) DISTKEY' in sql + # no hints + assert '"col3" boolean NOT NULL' in sql + assert '"col4" timestamp with time zone NOT NULL' in sql + + +def test_hint_alter_table_exception(client: RedshiftClient) -> None: + mod_update = deepcopy(TABLE_UPDATE) + # timestamp + mod_update[3]["sort"] = True + client.schema.update_schema("event_test_table", mod_update) + with pytest.raises(LoadClientSchemaWillNotUpdate) as excc: + client._get_table_update_sql("event_test_table", {}, True) + assert excc.value.columns == ["col4"] diff --git a/tests/loaders/test_dummy_loader.py b/tests/loaders/test_dummy_loader.py new file mode 100644 index 0000000000..02e6593c4c --- /dev/null +++ b/tests/loaders/test_dummy_loader.py @@ -0,0 +1,301 @@ +import shutil +from os import environ +from multiprocessing.pool import ThreadPool +from typing import List, Sequence, Tuple +import pytest +from unittest.mock import patch +from prometheus_client import CollectorRegistry + +from dlt.common.file_storage import FileStorage +from dlt.common.exceptions import TerminalException, TerminalValueError +from dlt.common.schema import Schema +from dlt.common.storages import schema_storage +from dlt.common.storages.loader_storage import JobWithUnsupportedWriterException, LoaderStorage +from dlt.common.storages.schema_storage import SchemaStorage +from dlt.common.typing import StrAny +from dlt.common.utils import uniq_id +from dlt.loaders.client_base import ClientBase, LoadEmptyJob, LoadJob + +from dlt.loaders.configuration import configuration, ProductionLoaderConfiguration, LoaderConfiguration +from dlt.loaders.dummy import client +from dlt.loaders import loader, __version__ +from dlt.loaders.dummy.configuration import DummyClientConfiguration + +from tests.utils import TEST_STORAGE, clean_storage, init_logger + + +@pytest.fixture(autouse=True) +def storage() -> FileStorage: + clean_storage(init_unpacker=True, init_loader=True) + + +@pytest.fixture(scope="module", autouse=True) +def logger_autouse() -> None: + init_logger() + + +def test_gen_configuration() -> None: + setup_loader() + assert ProductionLoaderConfiguration not in loader.CONFIG.mro() + assert LoaderConfiguration in loader.CONFIG.mro() + # for production config + with patch.dict(environ, {"IS_DEVELOPMENT_CONFIG": "False"}): + # mock missing config values + setup_loader({"LOADING_VOLUME_PATH": LoaderConfiguration.LOADING_VOLUME_PATH}) + assert ProductionLoaderConfiguration in loader.CONFIG.mro() + assert LoaderConfiguration in loader.CONFIG.mro() + + +def test_spool_job_started() -> None: + # default config keeps the job always running + setup_loader() + load_id, schema = prepare_load_package( + ["event_user.839c6e6b514e427687586ccc65bf133f.jsonl", + "event_loop_interrupted.839c6e6b514e427687586ccc65bf133f.jsonl"] + ) + files = loader.load_storage.list_new_jobs(load_id) + assert len(files) == 2 + jobs: List[LoadJob] = [] + for f in files: + job = loader.spool_job(f, load_id, schema) + assert type(job) is client.LoadDummyJob + assert job.status() == "running" + assert loader.load_storage.storage.has_file(loader.load_storage._get_file_path(load_id, LoaderStorage.STARTED_JOBS_FOLDER, job.file_name())) + jobs.append(job) + # still running + remaining_jobs = loader.complete_jobs(load_id, jobs) + assert len(remaining_jobs) == 2 + + +def test_spool_job_failed() -> None: + # this config fails job on start + setup_loader({"FAIL_PROB" : 1.0}) + load_id, schema = prepare_load_package( + ["event_user.839c6e6b514e427687586ccc65bf133f.jsonl", + "event_loop_interrupted.839c6e6b514e427687586ccc65bf133f.jsonl"] + ) + files = loader.load_storage.list_new_jobs(load_id) + jobs: List[LoadJob] = [] + for f in files: + job = loader.spool_job(f, load_id, schema) + assert type(job) is LoadEmptyJob + assert job.status() == "failed" + assert loader.load_storage.storage.has_file(loader.load_storage._get_file_path(load_id, LoaderStorage.STARTED_JOBS_FOLDER, job.file_name())) + jobs.append(job) + # complete files + remaining_jobs = loader.complete_jobs(load_id, jobs) + assert len(remaining_jobs) == 0 + for job in jobs: + assert loader.load_storage.storage.has_file(loader.load_storage._get_file_path(load_id, LoaderStorage.FAILED_JOBS_FOLDER, job.file_name())) + assert loader.load_storage.storage.has_file(loader.load_storage._get_file_path(load_id, LoaderStorage.FAILED_JOBS_FOLDER, job.file_name() + ".exception")) + started_files = loader.load_storage.list_started_jobs(load_id) + assert len(started_files) == 0 + + +def test_spool_job_retry_new() -> None: + # this config retries job on start (transient fail) + setup_loader({"RETRY_PROB" : 1.0}) + load_id, schema = prepare_load_package( + ["event_user.839c6e6b514e427687586ccc65bf133f.jsonl", + "event_loop_interrupted.839c6e6b514e427687586ccc65bf133f.jsonl"] + ) + files = loader.load_storage.list_new_jobs(load_id) + for f in files: + job = loader.spool_job(f, load_id, schema) + assert job is None + + # call higher level function that returns jobs and counts + jobs_count, jobs = loader.spool_new_jobs(ThreadPool(), load_id, schema) + assert jobs_count == 2 + assert len(jobs) == 0 + + +def test_spool_job_retry_started() -> None: + # this config keeps the job always running + setup_loader() + client.CLIENT_CONFIG = DummyClientConfiguration + load_id, schema = prepare_load_package( + ["event_user.839c6e6b514e427687586ccc65bf133f.jsonl", + "event_loop_interrupted.839c6e6b514e427687586ccc65bf133f.jsonl"] + ) + files = loader.load_storage.list_new_jobs(load_id) + jobs: List[LoadJob] = [] + for f in files: + job = loader.spool_job(f, load_id, schema) + assert type(job) is client.LoadDummyJob + assert job.status() == "running" + assert loader.load_storage.storage.has_file(loader.load_storage._get_file_path(load_id, LoaderStorage.STARTED_JOBS_FOLDER, job.file_name())) + # mock job config to make it retry + job.retry_prob = 1.0 + jobs.append(job) + files = loader.load_storage.list_new_jobs(load_id) + assert len(files) == 0 + # should retry, that moves jobs into new folder + remaining_jobs = loader.complete_jobs(load_id, jobs) + assert len(remaining_jobs) == 0 + # clear retry flag + client.JOBS = {} + files = loader.load_storage.list_new_jobs(load_id) + assert len(files) == 2 + for f in files: + job = loader.spool_job(f, load_id, schema) + assert job.status() == "running" + + +def test_try_retrieve_job() -> None: + setup_loader() + load_id, schema = prepare_load_package( + ["event_user.839c6e6b514e427687586ccc65bf133f.jsonl", + "event_loop_interrupted.839c6e6b514e427687586ccc65bf133f.jsonl"] + ) + # manually move jobs to started + files = loader.load_storage.list_new_jobs(load_id) + for f in files: + loader.load_storage.start_job(load_id, ClientBase.get_file_name_from_file_path(f)) + # dummy client may retrieve jobs that it created itself, jobs in started folder are unknown + # and returned as terminal + with loader.create_client(schema) as c: + job_count, jobs = loader.retrieve_jobs(c, load_id) + assert job_count == 2 + for j in jobs: + assert j.status() == "failed" + # new load package + load_id, schema = prepare_load_package( + ["event_user.839c6e6b514e427687586ccc65bf133f.jsonl", + "event_loop_interrupted.839c6e6b514e427687586ccc65bf133f.jsonl"] + ) + jobs_count, jobs = loader.spool_new_jobs(ThreadPool(), load_id, schema) + assert jobs_count == 2 + # now jobs are known + with loader.create_client(schema) as c: + job_count, jobs = loader.retrieve_jobs(c, load_id) + assert job_count == 2 + for j in jobs: + assert j.status() == "running" + + +def test_completed_loop() -> None: + setup_loader({"COMPLETED_PROB": 1.0}) + assert_complete_job(loader.load_storage.storage) + + +def test_failed_loop() -> None: + # ask to delete completed + loader.CONFIG.DELETE_COMPLETED_JOBS = True + setup_loader({"FAIL_PROB": 1.0}) + # actually not deleted because one of the jobs failed + assert_complete_job(loader.load_storage.storage, should_delete_completed=False) + + +def test_completed_loop_with_delete_completed() -> None: + setup_loader({"COMPLETED_PROB": 1.0}) + loader.CONFIG.DELETE_COMPLETED_JOBS = True + loader.load_storage = loader.create_folders() + assert_complete_job(loader.load_storage.storage, should_delete_completed=True) + + +def test_retry_on_new_loop() -> None: + # test job that retries sitting in new jobs + setup_loader({"RETRY_PROB" : 1.0}) + load_id, schema = prepare_load_package( + ["event_user.839c6e6b514e427687586ccc65bf133f.jsonl", + "event_loop_interrupted.839c6e6b514e427687586ccc65bf133f.jsonl"] + ) + loader.run(ThreadPool()) + files = loader.load_storage.list_new_jobs(load_id) + assert len(files) == 2 + # one job will be completed + # print(list(client.JOBS.keys())) + # client.JOBS["event_user.839c6e6b514e427687586ccc65bf133f.jsonl"].retry_prob = 0 + # client.JOBS["event_user.839c6e6b514e427687586ccc65bf133f.jsonl"].completed_prob = 1.0 + loader.run(ThreadPool()) + files = loader.load_storage.list_new_jobs(load_id) + assert len(files) == 2 + # jobs will be completed + setup_loader({"COMPLETED_PROB" : 1.0}) + loader.run(ThreadPool()) + files = loader.load_storage.list_new_jobs(load_id) + assert len(files) == 0 + loader.run(ThreadPool()) + assert not loader.load_storage.storage.has_folder(loader.load_storage.get_load_path(load_id)) + + +def test_wrong_writer_type() -> None: + setup_loader() + load_id, _ = prepare_load_package( + ["event_bot.b1d32c6660b242aaabbf3fc27245b7e6.insert_values", + "event_user.b1d32c6660b242aaabbf3fc27245b7e6.insert_values"] + ) + with pytest.raises(JobWithUnsupportedWriterException) as exv: + loader.run(ThreadPool()) + assert exv.value.load_id == load_id + + +def test_exceptions() -> None: + try: + raise TerminalValueError("a") + except TerminalException: + assert True + else: + raise AssertionError() + + +def test_version() -> None: + assert configuration()._VERSION == __version__ + + +def assert_complete_job(storage: FileStorage, should_delete_completed: bool = False) -> None: + load_id, _ = prepare_load_package( + ["event_user.839c6e6b514e427687586ccc65bf133f.jsonl", + "event_loop_interrupted.839c6e6b514e427687586ccc65bf133f.jsonl"] + ) + # will complete all jobs + with patch.object(client.DummyClient, "complete_load") as complete_load: + loader.run(ThreadPool()) + # did process schema update + assert storage.has_file(loader.load_storage._get_file_path(load_id, LoaderStorage.COMPLETED_JOBS_FOLDER, LoaderStorage.LOAD_SCHEMA_UPDATE_FILE_NAME)) + # will finalize the whole package + loader.run(ThreadPool()) + # moved to loaded + assert not storage.has_folder(loader.load_storage.get_load_path(load_id)) + archived_path = loader.load_storage.get_archived_path(load_id) + if should_delete_completed: + # archive was deleted + assert not storage.has_folder(archived_path) + else: + # archive not deleted + assert storage.has_folder(archived_path) + # complete load on client was called + complete_load.assert_called_once_with(load_id) + + +def prepare_load_package(cases: Sequence[str]) -> Tuple[str, Schema]: + load_id = uniq_id() + loader.load_storage.create_temp_load_folder(load_id) + for case in cases: + path = f"./tests/loaders/cases/loading/{case}" + shutil.copy(path, loader.load_storage.storage._make_path(f"{load_id}/{LoaderStorage.NEW_JOBS_FOLDER}")) + for f in ["schema_updates.json", "schema.json"]: + path = f"./tests/loaders/cases/loading/{f}" + shutil.copy(path, loader.load_storage.storage._make_path(load_id)) + loader.load_storage.commit_temp_load_folder(load_id) + schema_storage = SchemaStorage(loader.load_storage.storage.storage_path) + schema = schema_storage.load_folder_schema(loader.load_storage.get_load_path(load_id)) + return load_id, schema + + +def setup_loader(initial_values: StrAny = None) -> None: + default_values = { + "CLIENT_TYPE": "dummy", + "WRITER_TYPE": "jsonl" + } + if initial_values: + default_values.update(initial_values) + # setup loader + loader.CONFIG = configuration(initial_values=default_values) + # import dummy client module + loader.client_module = loader.client_impl(loader.CONFIG.CLIENT_TYPE) + loader.load_storage = loader.create_folders() + loader.load_counter, loader.job_gauge, loader.job_counter, loader.job_wait_summary = loader.create_gauges(CollectorRegistry(auto_describe=True)) + # reset jobs for a test + client.JOBS = {} diff --git a/tests/loaders/utils.py b/tests/loaders/utils.py new file mode 100644 index 0000000000..cc1b23eaff --- /dev/null +++ b/tests/loaders/utils.py @@ -0,0 +1,87 @@ +from typing import List, cast + +from dlt.common import json, Decimal +from dlt.common.file_storage import FileStorage +from dlt.common.schema import Column, Table +from dlt.common.time import sleep +from dlt.common.utils import uniq_id +from dlt.loaders.client_base import ClientBase + + +TABLE_UPDATE: List[Column] = [ + { + "name": "col1", + "data_type": "bigint", + "nullable": False + }, + { + "name": "col2", + "data_type": "double", + "nullable": False + }, + { + "name": "col3", + "data_type": "bool", + "nullable": False + }, + { + "name": "col4", + "data_type": "timestamp", + "nullable": False + }, + { + "name": "col5", + "data_type": "text", + "nullable": True + }, + { + "name": "col6", + "data_type": "decimal", + "nullable": False + }, + { + "name": "col7", + "data_type": "binary", + "nullable": True + }, + { + "name": "col8", + "data_type": "wei", + "nullable": True + } +] + +TABLE_ROW = { + "col1": 989127831, + "col2": 898912.821982, + "col3": True, + "col4": "2022-05-23T13:26:45+00:00", + "col5": "string data", + "col6": Decimal("2323.34"), + "col7": b'binary data', + "col8": 2**56 + 92093890840 +} + +def load_table(name: str) -> Table: + with open(f"./tests/loaders/cases/{name}.json", "tr") as f: + return cast(Table, json.load(f)) + + +def expect_load_file(client: ClientBase, file_storage: FileStorage, query: str, table_name: str) -> None: + file_name = uniq_id() + file_storage.save(file_name, query.encode("utf-8")) + # redshift insert jobs execute immediately + job = client.start_file_load(table_name, file_storage._make_path(file_name)) + while job.status() == "running": + sleep(0.5) + assert job.status() == "completed" + assert job.file_name() == file_name + + +def prepare_event_user_table(client: ClientBase) -> None: + client.update_storage_schema() + user_table = load_table("event_user")["event_user"] + user_table_name = "event_user_" + uniq_id() + client.schema.update_schema(user_table_name, user_table.values()) + client.update_storage_schema() + return user_table_name diff --git a/tests/tools/__init__.py b/tests/tools/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/tools/create_storages.py b/tests/tools/create_storages.py new file mode 100644 index 0000000000..4ccf581e12 --- /dev/null +++ b/tests/tools/create_storages.py @@ -0,0 +1,11 @@ +from dlt.common.storages.unpacker_storage import UnpackerStorage +from dlt.common.configuration import UnpackingVolumeConfiguration +from dlt.common.storages.loader_storage import LoaderStorage +from dlt.common.configuration import LoadingVolumeConfiguration +from dlt.common.storages.schema_storage import SchemaStorage +from dlt.common.configuration import SchemaVolumeConfiguration + + +UnpackerStorage(True, UnpackingVolumeConfiguration) +LoaderStorage(True, LoadingVolumeConfiguration, "jsonl") +SchemaStorage(SchemaVolumeConfiguration.SCHEMA_VOLUME_PATH, makedirs=True) diff --git a/tests/unpacker/__init__.py b/tests/unpacker/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/unpacker/cases/ethereum_blocks_9c1d9b504ea240a482b007788d5cd61c_2.unpack.json b/tests/unpacker/cases/ethereum_blocks_9c1d9b504ea240a482b007788d5cd61c_2.unpack.json new file mode 100644 index 0000000000..8729966663 --- /dev/null +++ b/tests/unpacker/cases/ethereum_blocks_9c1d9b504ea240a482b007788d5cd61c_2.unpack.json @@ -0,0 +1 @@ +[{"baseFeePerGas": 58059412132, "difficulty": 14467327947980844, "extraData": "0x6575726f70652d77657374332d34", "gasLimit": 30000000, "gasUsed": 29986082, "hash": "0x7f6b7c3d21a9582fb23c676caf691dfc4709e409db4e47bea9f054e1745d2174", "logsBloom": 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"quick_replies": null, + "buttons": null, + "attachment": null, + "image": null, + "custom": null + }, + "is_flagged": false, + "sender_id": "6d7b55db8b3c47d491e39d5b82ea99b2", + "model_id": "ddfe3bfb8b83f2f79106c8346b9b8d9d", + "environment": "production" +} \ No newline at end of file diff --git a/tests/unpacker/cases/rasa_event_bot_template.json b/tests/unpacker/cases/rasa_event_bot_template.json new file mode 100644 index 0000000000..bf0940998e --- /dev/null +++ b/tests/unpacker/cases/rasa_event_bot_template.json @@ -0,0 +1,31 @@ +{ + "event": "bot", + "timestamp": 1611827717.581728, + "metadata": { + "template_name": "utter_ask_transaction_search_form_search_type", + "rasa_x_flagged": false, + "rasa_x_id": 16326 + }, + "text": "Would you like to search incoming or outgoing transactions?", + "data": { + "elements": null, + "quick_replies": null, + "buttons": [ + { + "title": "Incoming (earnings)", + "payload": null + }, + { + "title": "Outgoing (spending)", + "payload": null + } + ], + "attachment": null, + "image": null, + "custom": null + }, + "is_flagged": false, + "sender_id": "02fefddbeb33429eb13819eb1e890f14", + "model_id": "ddfe3bfb8b83f2f79106c8346b9b8d9d", + "environment": "production" +} \ No newline at end of file diff --git a/tests/unpacker/cases/rasa_user_event.json b/tests/unpacker/cases/rasa_user_event.json new file mode 100644 index 0000000000..7de2c77e2a --- /dev/null +++ b/tests/unpacker/cases/rasa_user_event.json @@ -0,0 +1,79 @@ +{ + "event": "user", + "timestamp": 1596457188.7167368, + "metadata": { + "rasa_x_flagged": false, + "rasa_x_id": 7837 + }, + "text": "Percy", + "parse_data": { + "intent": { + "name": "human_handoff", + "confidence": 0.541744411 + }, + "entities": [ + { + "entity": "PERSON", + "value": "Percy", + "start": 0, + "confidence": null, + "end": 5, + "extractor": "SpacyEntityExtractor" + } + ], + "text": "Percy", + "message_id": "4d0776aec30e4fef9719d9aee67feff9", + "metadata": { + "rasa_x_flagged": false, + "rasa_x_id": 7837 + }, + "intent_ranking": [ + { + "name": "human_handoff", + "confidence": 0.541744411 + }, + { + "name": "transfer_money", + "confidence": 0.1577572227 + }, + { + "name": "greet", + "confidence": 0.1216964871 + }, + { + "name": "deny", + "confidence": 0.0888213813 + }, + { + "name": "affirm", + "confidence": 0.029734388 + }, + { + "name": "ask_transfer_charge", + "confidence": 0.0263750814 + }, + { + "name": "check_recipients", + "confidence": 0.0114318039 + }, + { + "name": "pay_cc", + "confidence": 0.0112889791 + }, + { + "name": "thankyou", + "confidence": 0.0056796907 + }, + { + "name": "inform", + "confidence": 0.0054705087 + } + ] + }, + "input_channel": "rasa", + "message_id": "4d0776aec30e4fef9719d9aee67feff9", + "is_flagged": false, + "sender_id": "846a98d228a14f4a8cc2f1f9554eea56", + "model_id": "a106fc25b13759df37ff84387cc1c962", + "environment": "production" +} \ No newline at end of file diff --git a/tests/unpacker/cases/schemas/ethereum_schema.json 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"name": "_root_hash", + "nullable": false + }, + "address": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "address", + "nullable": true + } + }, + "blocks__transactions__access_list__storage_keys": { + "_parent_hash": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": true, + "data_type": "text", + "name": "_parent_hash", + "nullable": false + }, + "_pos": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "bigint", + "name": "_pos", + "nullable": false + }, + "_record_hash": { + "partition": false, + "cluster": false, + "unique": true, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "_record_hash", + "nullable": false + }, + "_root_hash": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "_root_hash", + "nullable": false + }, + "value": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "value", + "nullable": true + } + }, + "blocks__uncles": { + "_parent_hash": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": true, + "data_type": "text", + "name": "_parent_hash", + "nullable": false + }, + "_pos": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "bigint", + "name": "_pos", + "nullable": false + }, + "_record_hash": { + "partition": false, + "cluster": false, + "unique": true, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "_record_hash", + "nullable": false + }, + "_root_hash": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "_root_hash", + "nullable": false + }, + "value": { + "partition": false, + "cluster": false, + "unique": false, + "sort": false, + "primary_key": false, + "foreign_key": false, + "data_type": "text", + "name": "value", + "nullable": true + } + } + }, + "name": "ethereum", + "version": 8, + "preferred_types": {}, + "hints": { + "foreign_key": [ + "^_parent_hash$" + ], + "not_null": [ + "^_record_hash$", + "^_root_hash$", + "^_parent_hash$", + "^_pos$" + ], + "unique": [ + "^_record_hash$" + ] + }, + "excludes": [], + "includes": [], + "engine_version": 2 +} \ No newline at end of file diff --git a/tests/unpacker/cases/schemas/event_schema.json b/tests/unpacker/cases/schemas/event_schema.json new file mode 100644 index 0000000000..81c994964c --- /dev/null +++ b/tests/unpacker/cases/schemas/event_schema.json @@ -0,0 +1,59 @@ +{ + "tables": { + "_version": { + "version": { + "name": "version", + "data_type": "bigint", + "nullable": false + }, + "engine_version": { + "name": "engine_version", + "data_type": "bigint", + "nullable": false + }, + "inserted_at": { + "name": "inserted_at", + "data_type": "timestamp", + "nullable": false + } + }, + "_loads": { + "load_id": { + "name": "load_id", + "data_type": "text", + "nullable": false + }, + "status": { + "name": "status", + "data_type": "bigint", + "nullable": false + }, + "inserted_at": { + "name": "inserted_at", + "data_type": "timestamp", + "nullable": false + } + } + }, + "version": 1, + "engine_version": 2, + "name": "event", + "preferred_types": { + "^timestamp$": "timestamp", + "^_timestamp$": "timestamp", + "^inserted_at$": "timestamp", + "confidence": "double", + "^_pos$": "bigint" + }, + "hints": { + "not_null": ["^timestamp$", "^_timestamp$", "^_dist_key$", "^_record_hash$", "^_root_hash$", "^_load_id$", "^_parent_hash$", "^_pos$", "^sender_id$"], + "partition": ["^_timestamp$", "^timestamp$"], + "cluster": ["^_dist_key$", "^sender_id$"], + "primary_key": [], + "foreign_key": ["^_parent_hash$"], + "sort": ["^timestamp$", "^_timestamp$"], + "unique": ["^_record_hash$"] + }, + "excludes": ["^event_user__parse_data", "^event_bot__data", "^event_bot__metadata"], + "includes": ["^event_user__parse_data__(intent|entities|message_id$|text$)", "^event_bot__metadata__(utter_action|template_name|rasa_x_[a-z]+)$"] +} \ No newline at end of file diff --git a/tests/unpacker/test_unpacker.py b/tests/unpacker/test_unpacker.py new file mode 100644 index 0000000000..1ca06c9ee0 --- /dev/null +++ b/tests/unpacker/test_unpacker.py @@ -0,0 +1,252 @@ +from typing import Dict, List, Sequence +import pytest +import shutil +from fnmatch import fnmatch +from prometheus_client import CollectorRegistry +from multiprocessing.dummy import Pool as ThreadPool + +from dlt.common import json +from dlt.common.utils import uniq_id +from dlt.common.typing import TEvent +from dlt.common.parser import TUnpackedRowIterator, extract +from dlt.common.file_storage import FileStorage +from dlt.common.schema import DataType, Schema +from dlt.common.storages.loader_storage import LoaderStorage +from dlt.common.storages.unpacker_storage import UnpackerStorage +from dlt.common.storages import SchemaStorage + +from dlt.unpacker import unpacker, __version__ + +from tests.unpacker.utils import json_case_path +from tests.utils import assert_no_dict_key_starts_with, write_version, clean_storage, init_logger + + +@pytest.fixture() +def raw_unpacker() -> FileStorage: + # does not install default schemas, so no type hints and row filters + return init_unpacker() + + +@pytest.fixture +def default_unpacker() -> FileStorage: + # install default schemas, includes type hints and row filters + return init_unpacker("tests/unpacker/cases/schemas", ["event", "ethereum"]) + + +def init_unpacker(default_schemas_path: str = None, schema_names: List[str] = None) -> FileStorage: + storage = clean_storage() + unpacker.configure(unpacker.configuration(), CollectorRegistry(), _mock_rasa_extract, default_schemas_path, schema_names) + # set jsonl as default writer + unpacker.load_storage.writer_type = unpacker.CONFIG.WRITER_TYPE = "jsonl" + return storage + + +def _mock_rasa_extract(schema: Schema, source_event: TEvent, load_id: str, add_json: bool) -> TUnpackedRowIterator: + if schema.schema_name == "event": + # this emulates rasa parser on standard parser + event = {"sender_id": source_event["sender_id"], "timestamp": source_event["timestamp"]} + yield from extract(schema, event, load_id, add_json) + # will generate tables properly + source_event["_event_type"] = "event_" + source_event["event"] + + # yield main record + yield from extract(schema, source_event, load_id, add_json) + + +@pytest.fixture(scope="module", autouse=True) +def logger_autouse() -> None: + init_logger() + + +def test_intialize(default_unpacker: FileStorage) -> None: + # create storages in fixture + pass + + +def test_unpack_single_user_event_jsonl(raw_unpacker: FileStorage) -> None: + expected_tables, load_files = unpack_event_user("event_user_load_1") + # load, parse and verify jsonl + for expected_table in expected_tables: + expect_lines_file(load_files[expected_table]) + # return first line from event_user file + event_text, lines = expect_lines_file(load_files["event_user"], 0) + assert lines == 1 + event_json = json.loads(event_text) + assert event_json["event"] == "user" + assert event_json["parse_data__intent__name"] == "greet" + assert event_json["text"] == "hello" + event_text, lines = expect_lines_file(load_files["event_user__parse_data__response_selector__default__ranking"], 9) + assert lines == 10 + event_json = json.loads(event_text) + assert "id" in event_json + assert "confidence" in event_json + assert "intent_response_key" in event_json + + +def test_unpack_single_user_event_insert(raw_unpacker: FileStorage) -> None: + unpacker.load_storage.writer_type = unpacker.CONFIG.WRITER_TYPE = "insert_values" + expected_tables, load_files = unpack_event_user("event_user_load_1") + # verify values line + for expected_table in expected_tables: + expect_lines_file(load_files[expected_table]) + # return first values line from event_user file + event_text, lines = expect_lines_file(load_files["event_user"], 2) + assert lines == 3 + assert "'user'" in event_text + assert "'greet'" in event_text + assert "'hello'" in event_text + event_text, lines = expect_lines_file(load_files["event_user__parse_data__response_selector__default__ranking"], 11) + assert lines == 12 + assert "(7005479104644416710," in event_text + + +def test_unpack_filter_user_event(default_unpacker: FileStorage) -> None: + load_id = unpack_cases(["event_user_load_v228_1"]) + load_files = expect_load_package(load_id, ["event", "event_user", "event_user__metadata__user_nicknames", + "event_user__parse_data__entities", "event_user__parse_data__entities__processors", "event_user__parse_data__intent_ranking"]) + event_text, lines = expect_lines_file(load_files["event_user"], 0) + assert lines == 1 + filtered_row = json.loads(event_text) + assert "parse_data__intent__name" in filtered_row + # response selectors are removed + assert_no_dict_key_starts_with(filtered_row, "parse_data__response_selector") + + +def test_unpack_filter_bot_event(default_unpacker: FileStorage) -> None: + load_id = unpack_cases(["event_bot_load_metadata_1"]) + load_files = expect_load_package(load_id, ["event", "event_bot"]) + event_text, lines = expect_lines_file(load_files["event_bot"], 0) + assert lines == 1 + filtered_row = json.loads(event_text) + assert "metadata__utter_action" in filtered_row + assert "metadata__account_balance" not in filtered_row + + +def test_preserve_slot_complex_value_json_l(default_unpacker: FileStorage) -> None: + # unpacker.load_storage.writer_type = unpacker.CONFIG.WRITER_TYPE = "insert_values" + load_id = unpack_cases(["event_slot_session_metadata_1"]) + load_files = expect_load_package(load_id, ["event", "event_slot"]) + event_text, lines = expect_lines_file(load_files["event_slot"], 0) + assert lines == 1 + filtered_row = json.loads(event_text) + assert type(filtered_row["value"]) is str + assert filtered_row["value"] == json.dumps({ + "user_id": "world", + "mitter_id": "hello" + }) + + +def test_preserve_slot_complex_value_insert(default_unpacker: FileStorage) -> None: + unpacker.load_storage.writer_type = unpacker.CONFIG.WRITER_TYPE = "insert_values" + load_id = unpack_cases(["event_slot_session_metadata_1"]) + load_files = expect_load_package(load_id, ["event", "event_slot"]) + event_text, lines = expect_lines_file(load_files["event_slot"], 2) + assert lines == 3 + c_val = json.dumps({ + "user_id": "world", + "mitter_id": "hello" + }) + assert c_val in event_text + + +def test_unpack_raw_no_type_hints(raw_unpacker: FileStorage) -> None: + unpack_event_user("event_user_load_1") + assert_timestamp_data_type("double") + + +def test_unpack_raw_type_hints(default_unpacker: FileStorage) -> None: + unpack_cases(["event_user_load_1"]) + assert_timestamp_data_type("timestamp") + + +def test_unpack_many_events_insert(raw_unpacker: FileStorage) -> None: + unpacker.load_storage.writer_type = unpacker.CONFIG.WRITER_TYPE = "insert_values" + load_id = unpack_cases(["event_many_load_2", "event_user_load_1"]) + expected_tables = EXPECTED_USER_TABLES + ["event_bot", "event_action"] + load_files = expect_load_package(load_id, expected_tables) + # return first values line from event_user file + event_text, lines = expect_lines_file(load_files["event"], 4) + assert lines == 5 + assert f"'{load_id}'" in event_text + + +def test_unpack_many_schemas(raw_unpacker: FileStorage) -> None: + unpacker.load_storage.writer_type = unpacker.CONFIG.WRITER_TYPE = "insert_values" + copy_cases(["event_many_load_2", "event_user_load_1", "ethereum_blocks_9c1d9b504ea240a482b007788d5cd61c_2"]) + unpacker.run(ThreadPool()) + # must have two loading groups with model and event schemas + loads = unpacker.load_storage.list_loads() + assert len(loads) == 2 + schema_storage = SchemaStorage(unpacker.load_storage.storage.storage_path) + schemas = [] + # load all schemas + for load_id in loads: + schema = schema_storage.load_folder_schema(unpacker.load_storage.get_load_path(load_id)) + schemas.append(schema.schema_name) + # expect event tables + if schema.schema_name == "event": + expected_tables = EXPECTED_USER_TABLES + ["event_bot", "event_action"] + expect_load_package(load_id, expected_tables) + if schema.schema_name == "ethereum": + expect_load_package(load_id, EXPECTED_ETH_TABLES) + assert set(schemas) == set(["ethereum", "event"]) + + +EXPECTED_ETH_TABLES = ["blocks", "blocks__transactions", "blocks__transactions__logs", "blocks__transactions__logs__topics", + "blocks__uncles", "blocks__transactions__access_list", "blocks__transactions__access_list__storage_keys"] + +EXPECTED_USER_TABLES = ["event", "event_user", "event_user__parse_data__intent_ranking", "event_user__parse_data__response_selector__all_retrieval_intents", + "event_user__parse_data__response_selector__default__ranking", "event_user__parse_data__response_selector__default__response__response_templates", + "event_user__parse_data__response_selector__default__response__responses"] + + +def unpack_event_user(case: str) -> None: + load_id = unpack_cases([case]) + return EXPECTED_USER_TABLES, expect_load_package(load_id, EXPECTED_USER_TABLES) + + +def unpack_cases(cases: Sequence[str]) -> str: + copy_cases(cases) + load_id = uniq_id() + unpacker.load_storage.create_temp_load_folder(load_id) + # pool not required for map_single + dest_cases = [f"{UnpackerStorage.UNPACKING_FOLDER}/{c}.unpack.json" for c in cases] + unpacker.spool_files(None, "event", load_id, unpacker.map_single, dest_cases) + return load_id + + +def copy_cases(cases: Sequence[str]) -> None: + for case in cases: + event_user_path = json_case_path(f"{case}.unpack") + shutil.copy(event_user_path, unpacker.unpack_storage.storage._make_path(UnpackerStorage.UNPACKING_FOLDER)) + + +def expect_load_package(load_id: str, expected_tables: Sequence[str]) -> Dict[str, str]: + files = unpacker.load_storage.list_new_jobs(load_id) + assert len(files) == len(expected_tables) + ofl: Dict[str, str] = {} + for expected_table in expected_tables: + file_mask = unpacker.load_storage.build_loading_file_name(load_id, expected_table, "*") + candidates = [f for f in files if fnmatch(f, f"{LoaderStorage.LOADING_FOLDER}/{file_mask}")] + assert len(candidates) == 1 + ofl[expected_table] = candidates[0] + return ofl + + +def expect_lines_file(load_file: str, line: int = 0) -> str: + with unpacker.load_storage.storage.open(load_file) as f: + lines = f.readlines() + return lines[line], len(lines) + + +def assert_timestamp_data_type(data_type: DataType) -> None: + # load generated schema + schema_storage = SchemaStorage(unpacker.load_storage.storage.storage_path) + loads = unpacker.load_storage.list_loads() + event_schema = schema_storage.load_folder_schema(unpacker.load_storage.get_load_path(loads[0])) + # in raw unpacker timestamp column must not be coerced to timestamp + assert event_schema.get_table("event")["timestamp"]["data_type"] == data_type + + +def test_version() -> None: + assert unpacker.configuration()._VERSION == __version__ diff --git a/tests/unpacker/utils.py b/tests/unpacker/utils.py new file mode 100644 index 0000000000..1d4b474534 --- /dev/null +++ b/tests/unpacker/utils.py @@ -0,0 +1,12 @@ +from typing import Mapping, cast + +from dlt.common import json + + +def load_json_case(name: str) -> Mapping: + with open(json_case_path(name), "tr") as f: + return cast(Mapping, json.load(f)) + + +def json_case_path(name: str) -> str: + return f"./tests/unpacker/cases/{name}.json" \ No newline at end of file diff --git a/tests/utils.py b/tests/utils.py new file mode 100644 index 0000000000..66b3ca8e13 --- /dev/null +++ b/tests/utils.py @@ -0,0 +1,87 @@ +import requests +from typing import Type +import pytest +import logging +from os import environ + +from dlt.common.configuration.utils import _get_config_attrs_with_hints, make_configuration +from dlt.common.configuration import BasicConfiguration +from dlt.common.logger import init_logging_from_config +from dlt.common.file_storage import FileStorage +from dlt.common.schema import Schema +from dlt.common.storages.versioned_storage import VersionedStorage +from dlt.common.typing import StrAny + + +TEST_STORAGE = "_storage" + + +class MockHttpResponse(): + def __init__(self, status_code: int) -> None: + self.status_code = status_code + + def raise_for_status(self) -> None: + if self.status_code >= 300: + raise requests.HTTPError(response=self) + + +def write_version(storage: FileStorage, version: str) -> None: + storage.save(VersionedStorage.VERSION_FILE, str(version)) + + +def delete_storage() -> None: + storage = FileStorage(TEST_STORAGE) + if storage.has_folder(""): + storage.delete_folder("", recursively=True) + + +@pytest.fixture() +def root_storage() -> FileStorage: + return clean_storage() + + +@pytest.fixture(autouse=True) +def autouse_root_storage() -> FileStorage: + return clean_storage() + + +def init_logger(C: Type[BasicConfiguration] = None) -> None: + if not hasattr(logging, "health"): + if not C: + C = make_configuration(BasicConfiguration, BasicConfiguration) + init_logging_from_config(C) + + +def clean_storage(init_unpacker: bool = False, init_loader: bool = False) -> FileStorage: + storage = FileStorage(TEST_STORAGE, "t", makedirs=True) + storage.delete_folder("", recursively=True) + storage.create_folder(".") + if init_unpacker: + from dlt.common.storages.unpacker_storage import UnpackerStorage + from dlt.common.configuration import UnpackingVolumeConfiguration + UnpackerStorage(True, UnpackingVolumeConfiguration) + if init_loader: + from dlt.common.storages.loader_storage import LoaderStorage + from dlt.common.configuration import LoadingVolumeConfiguration + LoaderStorage(True, LoadingVolumeConfiguration, "jsonl") + return storage + + +def add_config_to_env(config: Type[BasicConfiguration]) -> None: + # write back default values in configuration back into environment + possible_attrs = _get_config_attrs_with_hints(config).keys() + for attr in possible_attrs: + if attr not in environ: + v = getattr(config, attr) + if v is not None: + # print(f"setting {attr} to {v}") + environ[attr] = str(v) + + +def create_schema_with_name(schema_name) -> Schema: + schema = Schema(schema_name) + return schema + + +def assert_no_dict_key_starts_with(dict: StrAny, key_prefix: str) -> None: + assert all(not key.startswith(key_prefix) for key in dict.keys())