diff --git a/airbyte-integrations/connectors/source-microsoft-sharepoint/README.md b/airbyte-integrations/connectors/source-microsoft-sharepoint/README.md index fa4d35e78654b..5ff95071916a9 100644 --- a/airbyte-integrations/connectors/source-microsoft-sharepoint/README.md +++ b/airbyte-integrations/connectors/source-microsoft-sharepoint/README.md @@ -1,4 +1,5 @@ -# Microsoft SharePoint Source +# Microsoft SharePoint source connector + This is the repository for the Microsoft SharePoint source connector, written in Python. For information about how to use this connector within Airbyte, see [the documentation](https://docs.airbyte.com/integrations/sources/microsoft-sharepoint). @@ -6,113 +7,49 @@ For information about how to use this connector within Airbyte, see [the documen ## Local development ### Prerequisites -**To iterate on this connector, make sure to complete this prerequisites section.** +* Python (~=3.9) +* Poetry (~=1.7) - installation instructions [here](https://python-poetry.org/docs/#installation) -#### Minimum Python version required `= 3.9.0` -#### Activate Virtual Environment and install dependencies -From this connector directory, create a virtual environment: -``` -python -m venv .venv -``` - -This will generate a virtualenv for this module in `.venv/`. Make sure this venv is active in your -development environment of choice. To activate it from the terminal, run: -``` -source .venv/bin/activate -pip install -r requirements.txt -pip install '.[tests]' +### Installing the connector +From this connector directory, run: +```bash +poetry install --with dev ``` -If you are in an IDE, follow your IDE's instructions to activate the virtualenv. -Note that while we are installing dependencies from `requirements.txt`, you should only edit `setup.py` for your dependencies. `requirements.txt` is -used for editable installs (`pip install -e`) to pull in Python dependencies from the monorepo and will call `setup.py`. -If this is mumbo jumbo to you, don't worry about it, just put your deps in `setup.py` but install using `pip install -r requirements.txt` and everything -should work as you expect. -#### Create credentials +### Create credentials **If you are a community contributor**, follow the instructions in the [documentation](https://docs.airbyte.com/integrations/sources/microsoft-sharepoint) to generate the necessary credentials. Then create a file `secrets/config.json` conforming to the `source_microsoft_sharepoint/spec.yaml` file. Note that any directory named `secrets` is gitignored across the entire Airbyte repo, so there is no danger of accidentally checking in sensitive information. -See `integration_tests/sample_config.json` for a sample config file. +See `sample_files/sample_config.json` for a sample config file. -**If you are an Airbyte core member**, copy the credentials in Lastpass under the secret name `source microsoft-sharepoint test creds` -and place them into `secrets/config.json`. ### Locally running the connector ``` -python main.py spec -python main.py check --config secrets/config.json -python main.py discover --config secrets/config.json -python main.py read --config secrets/config.json --catalog integration_tests/configured_catalog.json +poetry run source-microsoft-sharepoint spec +poetry run source-microsoft-sharepoint check --config secrets/config.json +poetry run source-microsoft-sharepoint discover --config secrets/config.json +poetry run source-microsoft-sharepoint read --config secrets/config.json --catalog sample_files/configured_catalog.json ``` -### Locally running the connector docker image - -#### Use `airbyte-ci` to build your connector -The Airbyte way of building this connector is to use our `airbyte-ci` tool. -You can follow install instructions [here](https://github.com/airbytehq/airbyte/blob/master/airbyte-ci/connectors/pipelines/README.md#L1). -Then running the following command will build your connector: - -```bash -airbyte-ci connectors --name source-microsoft-sharepoint build +### Running unit tests +To run unit tests locally, from the connector directory run: ``` -Once the command is done, you will find your connector image in your local docker registry: `airbyte/source-microsoft-sharepoint:dev`. - -##### Customizing our build process -When contributing on our connector you might need to customize the build process to add a system dependency or set an env var. -You can customize our build process by adding a `build_customization.py` module to your connector. -This module should contain a `pre_connector_install` and `post_connector_install` async function that will mutate the base image and the connector container respectively. -It will be imported at runtime by our build process and the functions will be called if they exist. - -Here is an example of a `build_customization.py` module: -```python -from __future__ import annotations - -from typing import TYPE_CHECKING - -if TYPE_CHECKING: - # Feel free to check the dagger documentation for more information on the Container object and its methods. - # https://dagger-io.readthedocs.io/en/sdk-python-v0.6.4/ - from dagger import Container - - -async def pre_connector_install(base_image_container: Container) -> Container: - return await base_image_container.with_env_variable("MY_PRE_BUILD_ENV_VAR", "my_pre_build_env_var_value") - -async def post_connector_install(connector_container: Container) -> Container: - return await connector_container.with_env_variable("MY_POST_BUILD_ENV_VAR", "my_post_build_env_var_value") +poetry run pytest unit_tests ``` -#### Build your own connector image -This connector is built using our dynamic built process in `airbyte-ci`. -The base image used to build it is defined within the metadata.yaml file under the `connectorBuildOptions`. -The build logic is defined using [Dagger](https://dagger.io/) [here](https://github.com/airbytehq/airbyte/blob/master/airbyte-ci/connectors/pipelines/pipelines/builds/python_connectors.py). -It does not rely on a Dockerfile. - -If you would like to patch our connector and build your own a simple approach would be to: - -1. Create your own Dockerfile based on the latest version of the connector image. -```Dockerfile -FROM airbyte/source-microsoft-sharepoint:latest - -COPY . ./airbyte/integration_code -RUN pip install ./airbyte/integration_code - -# The entrypoint and default env vars are already set in the base image -# ENV AIRBYTE_ENTRYPOINT "python /airbyte/integration_code/main.py" -# ENTRYPOINT ["python", "/airbyte/integration_code/main.py"] +### Building the docker image +1. Install [`airbyte-ci`](https://github.com/airbytehq/airbyte/blob/master/airbyte-ci/connectors/pipelines/README.md) +2. Run the following command to build the docker image: +```bash +airbyte-ci connectors --name=source-microsoft-sharepoint build ``` -Please use this as an example. This is not optimized. -2. Build your image: -```bash -docker build -t airbyte/source-microsoft-sharepoint:dev . -# Running the spec command against your patched connector -docker run airbyte/source-microsoft-sharepoint:dev spec -```` +An image will be available on your host with the tag `airbyte/source-microsoft-sharepoint:dev`. -#### Run + +### Running as a docker container Then run any of the connector commands as follows: ``` docker run --rm airbyte/source-microsoft-sharepoint:dev spec @@ -120,47 +57,35 @@ docker run --rm -v $(pwd)/secrets:/secrets airbyte/source-microsoft-sharepoint:d docker run --rm -v $(pwd)/secrets:/secrets airbyte/source-microsoft-sharepoint:dev discover --config /secrets/config.json docker run --rm -v $(pwd)/secrets:/secrets -v $(pwd)/integration_tests:/integration_tests airbyte/source-microsoft-sharepoint:dev read --config /secrets/config.json --catalog /integration_tests/configured_catalog.json ``` -## Testing -Make sure to familiarize yourself with [pytest test discovery](https://docs.pytest.org/en/latest/goodpractices.html#test-discovery) to know how your test files and methods should be named. -First install test dependencies into your virtual environment: -``` -pip install .[tests] -``` -### Unit Tests -To run unit tests locally, from the connector directory run: -``` -python -m pytest unit_tests -``` -### Integration Tests -There are two types of integration tests: Acceptance Tests (Airbyte's test suite for all source connectors) and custom integration tests (which are specific to this connector). -#### Custom Integration tests -Place custom tests inside `integration_tests/` folder, then, from the connector root, run -``` -python -m pytest integration_tests +### Running our CI test suite +You can run our full test suite locally using [`airbyte-ci`](https://github.com/airbytehq/airbyte/blob/master/airbyte-ci/connectors/pipelines/README.md): +```bash +airbyte-ci connectors --name=source-microsoft-sharepoint test ``` -### Acceptance Tests -Customize `acceptance-test-config.yml` file to configure tests. See [Connector Acceptance Tests](https://docs.airbyte.com/connector-development/testing-connectors/connector-acceptance-tests-reference) for more information. +### Customizing acceptance Tests +Customize `acceptance-test-config.yml` file to configure acceptance tests. See [Connector Acceptance Tests](https://docs.airbyte.com/connector-development/testing-connectors/connector-acceptance-tests-reference) for more information. If your connector requires to create or destroy resources for use during acceptance tests create fixtures for it and place them inside integration_tests/acceptance.py. -Please run acceptance tests via [airbyte-ci](https://github.com/airbytehq/airbyte/blob/master/airbyte-ci/connectors/pipelines/README.md#connectors-test-command): + +### Dependency Management +All of your dependencies should be managed via Poetry. +To add a new dependency, run: ```bash -airbyte-ci connectors --name source-microsoft-sharepoint test +poetry add ``` -## Dependency Management -All of your dependencies should go in `setup.py`, NOT `requirements.txt`. The requirements file is only used to connect internal Airbyte dependencies in the monorepo for local development. -We split dependencies between two groups, dependencies that are: -* required for your connector to work need to go to `MAIN_REQUIREMENTS` list. -* required for the testing need to go to `TEST_REQUIREMENTS` list +Please commit the changes to `pyproject.toml` and `poetry.lock` files. -### Publishing a new version of the connector +## Publishing a new version of the connector You've checked out the repo, implemented a million dollar feature, and you're ready to share your changes with the world. Now what? 1. Make sure your changes are passing our test suite: `airbyte-ci connectors --name=source-microsoft-sharepoint test` -2. Bump the connector version in `metadata.yaml`: increment the `dockerImageTag` value. Please follow [semantic versioning for connectors](https://docs.airbyte.com/contributing-to-airbyte/resources/pull-requests-handbook/#semantic-versioning-for-connectors). +2. Bump the connector version (please follow [semantic versioning for connectors](https://docs.airbyte.com/contributing-to-airbyte/resources/pull-requests-handbook/#semantic-versioning-for-connectors)): + - bump the `dockerImageTag` value in in `metadata.yaml` + - bump the `version` value in `pyproject.toml` 3. Make sure the `metadata.yaml` content is up to date. -4. Make the connector documentation and its changelog is up to date (`docs/integrations/sources/microsoft-sharepoint.md`). +4. Make sure the connector documentation and its changelog is up to date (`docs/integrations/sources/microsoft-sharepoint.md`). 5. Create a Pull Request: use [our PR naming conventions](https://docs.airbyte.com/contributing-to-airbyte/resources/pull-requests-handbook/#pull-request-title-convention). 6. Pat yourself on the back for being an awesome contributor. 7. Someone from Airbyte will take a look at your PR and iterate with you to merge it into master. - +8. Once your PR is merged, the new version of the connector will be automatically published to Docker Hub and our connector registry. \ No newline at end of file diff --git a/airbyte-integrations/connectors/source-microsoft-sharepoint/integration_tests/abnormal_state.json b/airbyte-integrations/connectors/source-microsoft-sharepoint/integration_tests/abnormal_state.json index ae378266f2630..d5e56b714c494 100644 --- a/airbyte-integrations/connectors/source-microsoft-sharepoint/integration_tests/abnormal_state.json +++ b/airbyte-integrations/connectors/source-microsoft-sharepoint/integration_tests/abnormal_state.json @@ -7,11 +7,11 @@ }, "stream_state": { "history": { - "Test_folder/TestFile.csv": "2130-11-17T13:52:35.000000Z", - "Test_folder/Test_folder_2/TestFileSharePoint.csv": "2130-12-15T17:34:08.000000Z", - "Test_folder/simple_test.csv": "2130-01-16T12:45:20.000000Z" + "https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/TestFile.csv": "2130-11-17T13:52:35.000000Z", + "https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/Test_folder_2/TestFileSharePoint.csv": "2130-12-15T17:34:08.000000Z", + "https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/simple_test.csv": "2130-01-16T12:45:20.000000Z" }, - "_ab_source_file_last_modified": "2130-01-16T12:45:20.000000Z_Test_folder/simple_test.csv" + "_ab_source_file_last_modified": "2130-01-16T12:45:20.000000Z_https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/simple_test.csv" } } }, @@ -22,10 +22,10 @@ "name": "test_unstructured" }, "stream_state": { - "_ab_source_file_last_modified": "2130-12-23T16:47:21.000000Z_Test_folder/Test_foler_2_1/simple_pdf_file.pdf", "history": { - "Test_folder/Test_foler_2_1/simple_pdf_file.pdf": "2130-12-23T16:47:21.000000Z" - } + "https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/Test_foler_2_1/simple_pdf_file.pdf": "2130-12-15T16:47:21.000000Z" + }, + "_ab_source_file_last_modified": "2130-12-15T16:47:21.000000Z_https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/Test_foler_2_1/simple_pdf_file.pdf" } } }, @@ -37,9 +37,9 @@ }, "stream_state": { "history": { - "Test_folder/simple_test.csv.gz": "2130-01-18T11:24:38.000000Z" + "https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/simple_test.csv.gz": "2130-01-18T11:24:38.000000Z" }, - "_ab_source_file_last_modified": "2130-01-18T11:24:38.000000Z_Test_folder/simple_test.csv.gz" + "_ab_source_file_last_modified": "2130-01-18T11:24:38.000000Z_https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/simple_test.csv.gz" } } }, @@ -51,9 +51,9 @@ }, "stream_state": { "history": { - "Test_folder/test_parquet/simple_test.parquet": "2130-01-17T11:47:39.000000Z" + "https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/test_parquet/simple_test.parquet": "2130-01-17T11:47:39.000000Z" }, - "_ab_source_file_last_modified": "2130-01-17T11:47:39.000000Z_Test_folder/test_parquet/simple_test.parquet" + "_ab_source_file_last_modified": "2130-01-17T11:47:39.000000Z_https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/test_parquet/simple_test.parquet" } } }, @@ -65,9 +65,9 @@ }, "stream_state": { "history": { - "Test_folder/test_avro/test_sample.avro": "2130-01-17T11:46:55.000000Z" + "https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/test_avro/test_sample.avro": "2130-01-17T11:46:55.000000Z" }, - "_ab_source_file_last_modified": "2130-01-17T11:46:55.000000Z_Test_folder/test_avro/test_sample.avro" + "_ab_source_file_last_modified": "2130-01-17T11:46:55.000000Z_https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/test_avro/test_sample.avro" } } } diff --git a/airbyte-integrations/connectors/source-microsoft-sharepoint/integration_tests/expected_records.jsonl b/airbyte-integrations/connectors/source-microsoft-sharepoint/integration_tests/expected_records.jsonl index b6d5ccdbd7c46..50c18d177bab4 100644 --- a/airbyte-integrations/connectors/source-microsoft-sharepoint/integration_tests/expected_records.jsonl +++ b/airbyte-integrations/connectors/source-microsoft-sharepoint/integration_tests/expected_records.jsonl @@ -1,13 +1,13 @@ -{"stream": "test_avro", "data": {"id": 0, "fullname_and_valid": {"fullname": "cfjwIzCRTL", "valid": false}, "_ab_source_file_last_modified": "2024-01-17T11:46:55.000000Z", "_ab_source_file_url": "Test_folder/test_avro/test_sample.avro"}, "emitted_at": 1706099187061} -{"stream": "test_avro", "data": {"id": 1, "fullname_and_valid": {"fullname": "LYOnPyuTWw", "valid": true}, "_ab_source_file_last_modified": "2024-01-17T11:46:55.000000Z", "_ab_source_file_url": "Test_folder/test_avro/test_sample.avro"}, "emitted_at": 1706099187063} -{"stream": "test_avro", "data": {"id": 2, "fullname_and_valid": {"fullname": "hyTFbsxlRB", "valid": false}, "_ab_source_file_last_modified": "2024-01-17T11:46:55.000000Z", "_ab_source_file_url": "Test_folder/test_avro/test_sample.avro"}, "emitted_at": 1706099187063} -{"stream": "test_csv", "data": {"\ufeff\"{\"\"type\"\": \"\"RECORD\"\"\";\" \"\"record\"\": {\"\"stream\"\": \"\"sponsored_display_report_stream\"\"\";\" \"\"data\"\": {\"\"profileId\"\": 1560175474359565\";\" \"\"recordType\"\": \"\"campaigns\"\"\";\" \"\"reportDate\"\": \"\"20230701\"\"\";\" \"\"recordId\"\": \"\"200818142097572\"\"\";\" \"\"metric\"\": {\"\"campaignId\"\": \"\"200818142097572\"\"\";\" \"\"impressions\"\": \"\"85\"\"\";\" \"\"campaignName\"\": \"\"**LP - SD - PROD - [Cyclone Dust Collector] - Competitors - Video\"\"}}\";\" \"\"emitted_at\"\": 1691500775298}}\";;;": "{\"type\": \"RECORD\";\" \"\"record\"\": {\"\"stream\"\": \"\"sponsored_display_report_stream\"\"\";\" \"\"data\"\": {\"\"profileId\"\": 1560175474359565\";\" \"\"recordType\"\": \"\"campaigns\"\"\";\" \"\"reportDate\"\": \"\"20230701\"\"\";\" \"\"recordId\"\": \"\"160532120248153\"\"\";\" \"\"metric\"\": {\"\"campaignId\"\": \"\"160532120248153\"\"\";\" \"\"impressions\"\": \"\"4695\"\"\";\" \"\"campaignName\"\": \"\"**LP - SD - ATV - Remarketing - [Cyclone Dust Collector] - 7\";14;30;\" 60 Days\"\"}}\";\" \"\"emitted_at\"\": 1691500775316}}\"", "_ab_source_file_last_modified": "2023-11-17T13:52:35.000000Z", "_ab_source_file_url": "Test_folder/TestFile.csv"}, "emitted_at": 1706099256586} -{"stream": "test_csv", "data": {"\ufeff\"{\"\"type\"\": \"\"RECORD\"\"\";\" \"\"record\"\": {\"\"stream\"\": \"\"sponsored_display_report_stream\"\"\";\" \"\"data\"\": {\"\"profileId\"\": 1560175474359565\";\" \"\"recordType\"\": \"\"campaigns\"\"\";\" \"\"reportDate\"\": \"\"20230701\"\"\";\" \"\"recordId\"\": \"\"200818142097572\"\"\";\" \"\"metric\"\": {\"\"campaignId\"\": \"\"200818142097572\"\"\";\" \"\"impressions\"\": \"\"85\"\"\";\" \"\"campaignName\"\": \"\"**LP - SD - PROD - [Cyclone Dust Collector] - Competitors - Video\"\"}}\";\" \"\"emitted_at\"\": 1691500775298}}\";;;": "{\"type\": \"RECORD\";\" \"\"record\"\": {\"\"stream\"\": \"\"sponsored_display_report_stream\"\"\";\" \"\"data\"\": {\"\"profileId\"\": 1560175474359565\";\" \"\"recordType\"\": \"\"campaigns\"\"\";\" \"\"reportDate\"\": \"\"20230701\"\"\";\" \"\"recordId\"\": \"\"196774177063693\"\"\";\" \"\"metric\"\": {\"\"campaignId\"\": \"\"196774177063693\"\"\";\" \"\"impressions\"\": \"\"0\"\"\";\" \"\"campaignName\"\": \"\"**LP - SD - ATV - Remarketing - [Cyclone Dust Collector] - 30 Days - Video\"\"}}\";\" \"\"emitted_at\"\": 1691500775316}}\";;;", "_ab_source_file_last_modified": "2023-11-17T13:52:35.000000Z", "_ab_source_file_url": "Test_folder/TestFile.csv"}, "emitted_at": 1706099256588} -{"stream": "test_csv", "data": {"\ufeff\"{\"\"type\"\": \"\"RECORD\"\"\";\" \"\"record\"\": {\"\"stream\"\": \"\"sponsored_display_report_stream\"\"\";\" \"\"data\"\": {\"\"profileId\"\": 1560175474359565\";\" \"\"recordType\"\": \"\"campaigns\"\"\";\" \"\"reportDate\"\": \"\"20230701\"\"\";\" \"\"recordId\"\": \"\"200818142097572\"\"\";\" \"\"metric\"\": {\"\"campaignId\"\": \"\"200818142097572\"\"\";\" \"\"impressions\"\": \"\"85\"\"\";\" \"\"campaignName\"\": \"\"**LP - SD - PROD - [Cyclone Dust Collector] - Competitors - Video\"\"}}\";\" \"\"emitted_at\"\": 1691500775298}}\";;;": "{\"type\": \"RECORD\";\" \"\"record\"\": {\"\"stream\"\": \"\"sponsored_display_report_stream\"\"\";\" \"\"data\"\": {\"\"profileId\"\": 1560175474359565\";\" \"\"recordType\"\": \"\"campaigns\"\"\";\" \"\"reportDate\"\": \"\"20230701\"\"\";\" \"\"recordId\"\": \"\"57815899765268\"\"\";\" \"\"metric\"\": {\"\"campaignId\"\": \"\"57815899765268\"\"\";\" \"\"impressions\"\": \"\"0\"\"\";\" \"\"campaignName\"\": \"\"**LP - SD - ATV - Similar To - [Cyclone Dust Collector] - 30 Days - Video\"\"}}\";\" \"\"emitted_at\"\": 1691500775317}}\";;;", "_ab_source_file_last_modified": "2023-11-17T13:52:35.000000Z", "_ab_source_file_url": "Test_folder/TestFile.csv"}, "emitted_at": 1706099256588} -{"stream": "test_csv_gzip", "data": {"id": 1, "name": "PVdhmjb1", "valid": false, "_ab_source_file_last_modified": "2024-01-18T11:24:38.000000Z", "_ab_source_file_url": "Test_folder/simple_test.csv.gz"}, "emitted_at": 1706099153362} -{"stream": "test_csv_gzip", "data": {"id": 2, "name": "j4DyXTS7", "valid": true, "_ab_source_file_last_modified": "2024-01-18T11:24:38.000000Z", "_ab_source_file_url": "Test_folder/simple_test.csv.gz"}, "emitted_at": 1706099153363} -{"stream": "test_csv_gzip", "data": {"id": 3, "name": "v0w8fTME", "valid": false, "_ab_source_file_last_modified": "2024-01-18T11:24:38.000000Z", "_ab_source_file_url": "Test_folder/simple_test.csv.gz"}, "emitted_at": 1706099153363} -{"stream": "test_parquet", "data": {"number": 1.0, "name": "foo", "flag": true, "delta": -1.0, "_ab_source_file_last_modified": "2024-01-17T11:47:39.000000Z", "_ab_source_file_url": "Test_folder/test_parquet/simple_test.parquet"}, "emitted_at": 1706099224674} -{"stream": "test_parquet", "data": {"number": 2.0, "name": null, "flag": false, "delta": 2.5, "_ab_source_file_last_modified": "2024-01-17T11:47:39.000000Z", "_ab_source_file_url": "Test_folder/test_parquet/simple_test.parquet"}, "emitted_at": 1706099224675} -{"stream": "test_parquet", "data": {"number": 3.0, "name": "bar", "flag": null, "delta": 0.1, "_ab_source_file_last_modified": "2024-01-17T11:47:39.000000Z", "_ab_source_file_url": "Test_folder/test_parquet/simple_test.parquet"}, "emitted_at": 1706099224675} -{"stream": "test_unstructured", "data": {"content": "# A Simple PDF File\n\nThis is a small demonstration .pdf file -\n\njust for use in the Virtual Mechanics tutorials. More text. And more text. And more text. And more text. And more text.\n\nAnd more text. And more text. And more text. And more text. And more text. And more text. Boring, zzzzz. And more text. And more text. And more text. And more text. And more text. And more text. And more text. And more text. And more text.\n\nAnd more text. And more text. And more text. And more text. And more text. And more text. And more text. Even more. Continued on page 2 ...\n\n# Simple PDF File 2\n\n...continued from page 1. Yet more text. And more text. And more text. And more text. And more text. And more text. And more text. And more text. Oh, how boring typing this stuff. But not as boring as watching paint dry. And more text. And more text. And more text. And more text. Boring. More, a little more text. The end, and just as well.", "document_key": "Test_folder/Test_foler_2_1/simple_pdf_file.pdf", "_ab_source_file_parse_error": null, "_ab_source_file_last_modified": "2023-12-15T16:47:21.000000Z", "_ab_source_file_url": "Test_folder/Test_foler_2_1/simple_pdf_file.pdf"}, "emitted_at": 1706099290771} +{"stream": "test_avro", "data": {"id": 0, "fullname_and_valid": {"fullname": "cfjwIzCRTL", "valid": false}, "_ab_source_file_last_modified": "2024-01-17T11:46:55.000000Z", "_ab_source_file_url": "https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/test_avro/test_sample.avro"}, "emitted_at": 1710365865963} +{"stream": "test_avro", "data": {"id": 1, "fullname_and_valid": {"fullname": "LYOnPyuTWw", "valid": true}, "_ab_source_file_last_modified": "2024-01-17T11:46:55.000000Z", "_ab_source_file_url": "https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/test_avro/test_sample.avro"}, "emitted_at": 1710365865964} +{"stream": "test_avro", "data": {"id": 2, "fullname_and_valid": {"fullname": "hyTFbsxlRB", "valid": false}, "_ab_source_file_last_modified": "2024-01-17T11:46:55.000000Z", "_ab_source_file_url": "https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/test_avro/test_sample.avro"}, "emitted_at": 1710365865964} +{"stream": "test_csv", "data": {"\ufeff\"{\"\"type\"\": \"\"RECORD\"\"\";\" \"\"record\"\": {\"\"stream\"\": \"\"sponsored_display_report_stream\"\"\";\" \"\"data\"\": {\"\"profileId\"\": 1560175474359565\";\" \"\"recordType\"\": \"\"campaigns\"\"\";\" \"\"reportDate\"\": \"\"20230701\"\"\";\" \"\"recordId\"\": \"\"200818142097572\"\"\";\" \"\"metric\"\": {\"\"campaignId\"\": \"\"200818142097572\"\"\";\" \"\"impressions\"\": \"\"85\"\"\";\" \"\"campaignName\"\": \"\"**LP - SD - PROD - [Cyclone Dust Collector] - Competitors - Video\"\"}}\";\" \"\"emitted_at\"\": 1691500775298}}\";;;": "{\"type\": \"RECORD\";\" \"\"record\"\": {\"\"stream\"\": \"\"sponsored_display_report_stream\"\"\";\" \"\"data\"\": {\"\"profileId\"\": 1560175474359565\";\" \"\"recordType\"\": \"\"campaigns\"\"\";\" \"\"reportDate\"\": \"\"20230701\"\"\";\" \"\"recordId\"\": \"\"160532120248153\"\"\";\" \"\"metric\"\": {\"\"campaignId\"\": \"\"160532120248153\"\"\";\" \"\"impressions\"\": \"\"4695\"\"\";\" \"\"campaignName\"\": \"\"**LP - SD - ATV - Remarketing - [Cyclone Dust Collector] - 7\";14;30;\" 60 Days\"\"}}\";\" \"\"emitted_at\"\": 1691500775316}}\"", "_ab_source_file_last_modified": "2023-11-17T13:52:35.000000Z", "_ab_source_file_url": "https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/TestFile.csv"}, "emitted_at": 1710365914706} +{"stream": "test_csv", "data": {"\ufeff\"{\"\"type\"\": \"\"RECORD\"\"\";\" \"\"record\"\": {\"\"stream\"\": \"\"sponsored_display_report_stream\"\"\";\" \"\"data\"\": {\"\"profileId\"\": 1560175474359565\";\" \"\"recordType\"\": \"\"campaigns\"\"\";\" \"\"reportDate\"\": \"\"20230701\"\"\";\" \"\"recordId\"\": \"\"200818142097572\"\"\";\" \"\"metric\"\": {\"\"campaignId\"\": \"\"200818142097572\"\"\";\" \"\"impressions\"\": \"\"85\"\"\";\" \"\"campaignName\"\": \"\"**LP - SD - PROD - [Cyclone Dust Collector] - Competitors - Video\"\"}}\";\" \"\"emitted_at\"\": 1691500775298}}\";;;": "{\"type\": \"RECORD\";\" \"\"record\"\": {\"\"stream\"\": \"\"sponsored_display_report_stream\"\"\";\" \"\"data\"\": {\"\"profileId\"\": 1560175474359565\";\" \"\"recordType\"\": \"\"campaigns\"\"\";\" \"\"reportDate\"\": \"\"20230701\"\"\";\" \"\"recordId\"\": \"\"196774177063693\"\"\";\" \"\"metric\"\": {\"\"campaignId\"\": \"\"196774177063693\"\"\";\" \"\"impressions\"\": \"\"0\"\"\";\" \"\"campaignName\"\": \"\"**LP - SD - ATV - Remarketing - [Cyclone Dust Collector] - 30 Days - Video\"\"}}\";\" \"\"emitted_at\"\": 1691500775316}}\";;;", "_ab_source_file_last_modified": "2023-11-17T13:52:35.000000Z", "_ab_source_file_url": "https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/TestFile.csv"}, "emitted_at": 1710365914707} +{"stream": "test_csv", "data": {"\ufeff\"{\"\"type\"\": \"\"RECORD\"\"\";\" \"\"record\"\": {\"\"stream\"\": \"\"sponsored_display_report_stream\"\"\";\" \"\"data\"\": {\"\"profileId\"\": 1560175474359565\";\" \"\"recordType\"\": \"\"campaigns\"\"\";\" \"\"reportDate\"\": \"\"20230701\"\"\";\" \"\"recordId\"\": \"\"200818142097572\"\"\";\" \"\"metric\"\": {\"\"campaignId\"\": \"\"200818142097572\"\"\";\" \"\"impressions\"\": \"\"85\"\"\";\" \"\"campaignName\"\": \"\"**LP - SD - PROD - [Cyclone Dust Collector] - Competitors - Video\"\"}}\";\" \"\"emitted_at\"\": 1691500775298}}\";;;": "{\"type\": \"RECORD\";\" \"\"record\"\": {\"\"stream\"\": \"\"sponsored_display_report_stream\"\"\";\" \"\"data\"\": {\"\"profileId\"\": 1560175474359565\";\" \"\"recordType\"\": \"\"campaigns\"\"\";\" \"\"reportDate\"\": \"\"20230701\"\"\";\" \"\"recordId\"\": \"\"57815899765268\"\"\";\" \"\"metric\"\": {\"\"campaignId\"\": \"\"57815899765268\"\"\";\" \"\"impressions\"\": \"\"0\"\"\";\" \"\"campaignName\"\": \"\"**LP - SD - ATV - Similar To - [Cyclone Dust Collector] - 30 Days - Video\"\"}}\";\" \"\"emitted_at\"\": 1691500775317}}\";;;", "_ab_source_file_last_modified": "2023-11-17T13:52:35.000000Z", "_ab_source_file_url": "https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/TestFile.csv"}, "emitted_at": 1710365914707} +{"stream": "test_csv_gzip", "data": {"id": "1", "name": "PVdhmjb1", "valid": "False", "_ab_source_file_last_modified": "2024-01-18T11:24:38.000000Z", "_ab_source_file_url": "https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/simple_test.csv.gz"}, "emitted_at": 1710365841922} +{"stream": "test_csv_gzip", "data": {"id": "2", "name": "j4DyXTS7", "valid": "True", "_ab_source_file_last_modified": "2024-01-18T11:24:38.000000Z", "_ab_source_file_url": "https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/simple_test.csv.gz"}, "emitted_at": 1710365841923} +{"stream": "test_csv_gzip", "data": {"id": "3", "name": "v0w8fTME", "valid": "False", "_ab_source_file_last_modified": "2024-01-18T11:24:38.000000Z", "_ab_source_file_url": "https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/simple_test.csv.gz"}, "emitted_at": 1710365841923} +{"stream": "test_parquet", "data": {"number": 1.0, "name": "foo", "flag": true, "delta": -1.0, "_ab_source_file_last_modified": "2024-01-17T11:47:39.000000Z", "_ab_source_file_url": "https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/test_parquet/simple_test.parquet"}, "emitted_at": 1710365893546} +{"stream": "test_parquet", "data": {"number": 2.0, "name": null, "flag": false, "delta": 2.5, "_ab_source_file_last_modified": "2024-01-17T11:47:39.000000Z", "_ab_source_file_url": "https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/test_parquet/simple_test.parquet"}, "emitted_at": 1710365893547} +{"stream": "test_parquet", "data": {"number": 3.0, "name": "bar", "flag": null, "delta": 0.1, "_ab_source_file_last_modified": "2024-01-17T11:47:39.000000Z", "_ab_source_file_url": "https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/test_parquet/simple_test.parquet"}, "emitted_at": 1710365893547} +{"stream": "test_unstructured", "data": {"content": "# A Simple PDF File\n\nThis is a small demonstration .pdf file -\n\njust for use in the Virtual Mechanics tutorials. More text. And more text. And more text. And more text. And more text.\n\nAnd more text. And more text. And more text. And more text. And more text. And more text. Boring, zzzzz. And more text. And more text. And more text. And more text. And more text. And more text. And more text. And more text. And more text.\n\nAnd more text. And more text. And more text. And more text. And more text. And more text. And more text. Even more. Continued on page 2 ...\n\n# Simple PDF File 2\n\n...continued from page 1. Yet more text. And more text. And more text. And more text. And more text. And more text. And more text. And more text. Oh, how boring typing this stuff. But not as boring as watching paint dry. And more text. And more text. And more text. And more text. Boring. More, a little more text. The end, and just as well.", "document_key": "https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/Test_foler_2_1/simple_pdf_file.pdf", "_ab_source_file_parse_error": null, "_ab_source_file_last_modified": "2023-12-15T16:47:21.000000Z", "_ab_source_file_url": "https://airbyte179.sharepoint.com/Shared%20Documents/Test_folder/Test_foler_2_1/simple_pdf_file.pdf"}, "emitted_at": 1710365942797} diff --git a/airbyte-integrations/connectors/source-microsoft-sharepoint/integration_tests/spec.json b/airbyte-integrations/connectors/source-microsoft-sharepoint/integration_tests/spec.json index 6018f9bfbdd47..b5843ec9cea08 100644 --- a/airbyte-integrations/connectors/source-microsoft-sharepoint/integration_tests/spec.json +++ b/airbyte-integrations/connectors/source-microsoft-sharepoint/integration_tests/spec.json @@ -1,480 +1,505 @@ { - "documentationUrl": "https://docs.airbyte.com/integrations/sources/one-drive", - "connectionSpecification": { - "title": "Microsoft SharePoint Source Spec", - "description": "SourceMicrosoftSharePointSpec class for Microsoft SharePoint Source Specification.\nThis class combines the authentication details with additional configuration for the SharePoint API.", - "type": "object", - "properties": { - "start_date": { - "title": "Start Date", - "description": "UTC date and time in the format 2017-01-25T00:00:00.000000Z. Any file modified before this date will not be replicated.", - "examples": ["2021-01-01T00:00:00.000000Z"], - "format": "date-time", - "pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}.[0-9]{6}Z$", - "pattern_descriptor": "YYYY-MM-DDTHH:mm:ss.SSSSSSZ", - "order": 1, - "type": "string" - }, - "streams": { - "title": "The list of streams to sync", - "description": "Each instance of this configuration defines a stream. Use this to define which files belong in the stream, their format, and how they should be parsed and validated. When sending data to warehouse destination such as Snowflake or BigQuery, each stream is a separate table.", - "order": 10, - "type": "array", - "items": { - "title": "FileBasedStreamConfig", - "type": "object", - "properties": { - "name": { - "title": "Name", - "description": "The name of the stream.", - "type": "string" - }, - "globs": { - "title": "Globs", - "description": "The pattern used to specify which files should be selected from the file system. For more information on glob pattern matching look here.", - "default": ["**"], - "order": 1, - "type": "array", - "items": { + "type": "SPEC", + "spec": { + "documentationUrl": "https://docs.airbyte.com/integrations/sources/microsoft-sharepoint", + "connectionSpecification": { + "title": "Microsoft SharePoint Source Spec", + "description": "SourceMicrosoftSharePointSpec class for Microsoft SharePoint Source Specification.\nThis class combines the authentication details with additional configuration for the SharePoint API.", + "type": "object", + "properties": { + "start_date": { + "title": "Start Date", + "description": "UTC date and time in the format 2017-01-25T00:00:00.000000Z. Any file modified before this date will not be replicated.", + "examples": ["2021-01-01T00:00:00.000000Z"], + "format": "date-time", + "pattern": "^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}.[0-9]{6}Z$", + "pattern_descriptor": "YYYY-MM-DDTHH:mm:ss.SSSSSSZ", + "order": 1, + "type": "string" + }, + "streams": { + "title": "The list of streams to sync", + "description": "Each instance of this configuration defines a stream. Use this to define which files belong in the stream, their format, and how they should be parsed and validated. When sending data to warehouse destination such as Snowflake or BigQuery, each stream is a separate table.", + "order": 10, + "type": "array", + "items": { + "title": "FileBasedStreamConfig", + "type": "object", + "properties": { + "name": { + "title": "Name", + "description": "The name of the stream.", "type": "string" - } - }, - "validation_policy": { - "title": "Validation Policy", - "description": "The name of the validation policy that dictates sync behavior when a record does not adhere to the stream schema.", - "default": "Emit Record", - "enum": ["Emit Record", "Skip Record", "Wait for Discover"] - }, - "input_schema": { - "title": "Input Schema", - "description": "The schema that will be used to validate records extracted from the file. This will override the stream schema that is auto-detected from incoming files.", - "type": "string" - }, - "primary_key": { - "title": "Primary Key", - "description": "The column or columns (for a composite key) that serves as the unique identifier of a record. If empty, the primary key will default to the parser's default primary key.", - "airbyte_hidden": true, - "type": "string" - }, - "days_to_sync_if_history_is_full": { - "title": "Days To Sync If History Is Full", - "description": "When the state history of the file store is full, syncs will only read files that were last modified in the provided day range.", - "default": 3, - "type": "integer" - }, - "format": { - "title": "Format", - "description": "The configuration options that are used to alter how to read incoming files that deviate from the standard formatting.", - "type": "object", - "oneOf": [ - { - "title": "Avro Format", - "type": "object", - "properties": { - "filetype": { - "title": "Filetype", - "default": "avro", - "const": "avro", - "type": "string" + }, + "globs": { + "title": "Globs", + "description": "The pattern used to specify which files should be selected from the file system. For more information on glob pattern matching look here.", + "default": ["**"], + "order": 1, + "type": "array", + "items": { + "type": "string" + } + }, + "validation_policy": { + "title": "Validation Policy", + "description": "The name of the validation policy that dictates sync behavior when a record does not adhere to the stream schema.", + "default": "Emit Record", + "enum": ["Emit Record", "Skip Record", "Wait for Discover"] + }, + "input_schema": { + "title": "Input Schema", + "description": "The schema that will be used to validate records extracted from the file. This will override the stream schema that is auto-detected from incoming files.", + "type": "string" + }, + "primary_key": { + "title": "Primary Key", + "description": "The column or columns (for a composite key) that serves as the unique identifier of a record. If empty, the primary key will default to the parser's default primary key.", + "airbyte_hidden": true, + "type": "string" + }, + "days_to_sync_if_history_is_full": { + "title": "Days To Sync If History Is Full", + "description": "When the state history of the file store is full, syncs will only read files that were last modified in the provided day range.", + "default": 3, + "type": "integer" + }, + "format": { + "title": "Format", + "description": "The configuration options that are used to alter how to read incoming files that deviate from the standard formatting.", + "type": "object", + "oneOf": [ + { + "title": "Avro Format", + "type": "object", + "properties": { + "filetype": { + "title": "Filetype", + "default": "avro", + "const": "avro", + "type": "string" + }, + "double_as_string": { + "title": "Convert Double Fields to Strings", + "description": "Whether to convert double fields to strings. This is recommended if you have decimal numbers with a high degree of precision because there can be a loss precision when handling floating point numbers.", + "default": false, + "type": "boolean" + } }, - "double_as_string": { - "title": "Convert Double Fields to Strings", - "description": "Whether to convert double fields to strings. This is recommended if you have decimal numbers with a high degree of precision because there can be a loss precision when handling floating point numbers.", - "default": false, - "type": "boolean" - } + "required": ["filetype"] }, - "required": ["filetype"] - }, - { - "title": "CSV Format", - "type": "object", - "properties": { - "filetype": { - "title": "Filetype", - "default": "csv", - "const": "csv", - "type": "string" - }, - "delimiter": { - "title": "Delimiter", - "description": "The character delimiting individual cells in the CSV data. This may only be a 1-character string. For tab-delimited data enter '\\t'.", - "default": ",", - "type": "string" - }, - "quote_char": { - "title": "Quote Character", - "description": "The character used for quoting CSV values. To disallow quoting, make this field blank.", - "default": "\"", - "type": "string" - }, - "escape_char": { - "title": "Escape Character", - "description": "The character used for escaping special characters. To disallow escaping, leave this field blank.", - "type": "string" - }, - "encoding": { - "title": "Encoding", - "description": "The character encoding of the CSV data. Leave blank to default to UTF8. See list of python encodings for allowable options.", - "default": "utf8", - "type": "string" - }, - "double_quote": { - "title": "Double Quote", - "description": "Whether two quotes in a quoted CSV value denote a single quote in the data.", - "default": true, - "type": "boolean" - }, - "null_values": { - "title": "Null Values", - "description": "A set of case-sensitive strings that should be interpreted as null values. For example, if the value 'NA' should be interpreted as null, enter 'NA' in this field.", - "default": [], - "type": "array", - "items": { + { + "title": "CSV Format", + "type": "object", + "properties": { + "filetype": { + "title": "Filetype", + "default": "csv", + "const": "csv", "type": "string" }, - "uniqueItems": true - }, - "strings_can_be_null": { - "title": "Strings Can Be Null", - "description": "Whether strings can be interpreted as null values. If true, strings that match the null_values set will be interpreted as null. If false, strings that match the null_values set will be interpreted as the string itself.", - "default": true, - "type": "boolean" - }, - "skip_rows_before_header": { - "title": "Skip Rows Before Header", - "description": "The number of rows to skip before the header row. For example, if the header row is on the 3rd row, enter 2 in this field.", - "default": 0, - "type": "integer" - }, - "skip_rows_after_header": { - "title": "Skip Rows After Header", - "description": "The number of rows to skip after the header row.", - "default": 0, - "type": "integer" - }, - "header_definition": { - "title": "CSV Header Definition", - "description": "How headers will be defined. `User Provided` assumes the CSV does not have a header row and uses the headers provided and `Autogenerated` assumes the CSV does not have a header row and the CDK will generate headers using for `f{i}` where `i` is the index starting from 0. Else, the default behavior is to use the header from the CSV file. If a user wants to autogenerate or provide column names for a CSV having headers, they can skip rows.", - "default": { - "header_definition_type": "From CSV" + "delimiter": { + "title": "Delimiter", + "description": "The character delimiting individual cells in the CSV data. This may only be a 1-character string. For tab-delimited data enter '\\t'.", + "default": ",", + "type": "string" }, - "oneOf": [ - { - "title": "From CSV", - "type": "object", - "properties": { - "header_definition_type": { - "title": "Header Definition Type", - "default": "From CSV", - "const": "From CSV", - "type": "string" - } - }, - "required": ["header_definition_type"] + "quote_char": { + "title": "Quote Character", + "description": "The character used for quoting CSV values. To disallow quoting, make this field blank.", + "default": "\"", + "type": "string" + }, + "escape_char": { + "title": "Escape Character", + "description": "The character used for escaping special characters. To disallow escaping, leave this field blank.", + "type": "string" + }, + "encoding": { + "title": "Encoding", + "description": "The character encoding of the CSV data. Leave blank to default to UTF8. See list of python encodings for allowable options.", + "default": "utf8", + "type": "string" + }, + "double_quote": { + "title": "Double Quote", + "description": "Whether two quotes in a quoted CSV value denote a single quote in the data.", + "default": true, + "type": "boolean" + }, + "null_values": { + "title": "Null Values", + "description": "A set of case-sensitive strings that should be interpreted as null values. For example, if the value 'NA' should be interpreted as null, enter 'NA' in this field.", + "default": [], + "type": "array", + "items": { + "type": "string" }, - { - "title": "Autogenerated", - "type": "object", - "properties": { - "header_definition_type": { - "title": "Header Definition Type", - "default": "Autogenerated", - "const": "Autogenerated", - "type": "string" - } - }, - "required": ["header_definition_type"] + "uniqueItems": true + }, + "strings_can_be_null": { + "title": "Strings Can Be Null", + "description": "Whether strings can be interpreted as null values. If true, strings that match the null_values set will be interpreted as null. If false, strings that match the null_values set will be interpreted as the string itself.", + "default": true, + "type": "boolean" + }, + "skip_rows_before_header": { + "title": "Skip Rows Before Header", + "description": "The number of rows to skip before the header row. For example, if the header row is on the 3rd row, enter 2 in this field.", + "default": 0, + "type": "integer" + }, + "skip_rows_after_header": { + "title": "Skip Rows After Header", + "description": "The number of rows to skip after the header row.", + "default": 0, + "type": "integer" + }, + "header_definition": { + "title": "CSV Header Definition", + "description": "How headers will be defined. `User Provided` assumes the CSV does not have a header row and uses the headers provided and `Autogenerated` assumes the CSV does not have a header row and the CDK will generate headers using for `f{i}` where `i` is the index starting from 0. Else, the default behavior is to use the header from the CSV file. If a user wants to autogenerate or provide column names for a CSV having headers, they can skip rows.", + "default": { + "header_definition_type": "From CSV" }, - { - "title": "User Provided", - "type": "object", - "properties": { - "header_definition_type": { - "title": "Header Definition Type", - "default": "User Provided", - "const": "User Provided", - "type": "string" + "oneOf": [ + { + "title": "From CSV", + "type": "object", + "properties": { + "header_definition_type": { + "title": "Header Definition Type", + "default": "From CSV", + "const": "From CSV", + "type": "string" + } }, - "column_names": { - "title": "Column Names", - "description": "The column names that will be used while emitting the CSV records", - "type": "array", - "items": { + "required": ["header_definition_type"] + }, + { + "title": "Autogenerated", + "type": "object", + "properties": { + "header_definition_type": { + "title": "Header Definition Type", + "default": "Autogenerated", + "const": "Autogenerated", "type": "string" } - } + }, + "required": ["header_definition_type"] }, - "required": ["column_names", "header_definition_type"] - } - ], - "type": "object" + { + "title": "User Provided", + "type": "object", + "properties": { + "header_definition_type": { + "title": "Header Definition Type", + "default": "User Provided", + "const": "User Provided", + "type": "string" + }, + "column_names": { + "title": "Column Names", + "description": "The column names that will be used while emitting the CSV records", + "type": "array", + "items": { + "type": "string" + } + } + }, + "required": [ + "column_names", + "header_definition_type" + ] + } + ], + "type": "object" + }, + "true_values": { + "title": "True Values", + "description": "A set of case-sensitive strings that should be interpreted as true values.", + "default": ["y", "yes", "t", "true", "on", "1"], + "type": "array", + "items": { + "type": "string" + }, + "uniqueItems": true + }, + "false_values": { + "title": "False Values", + "description": "A set of case-sensitive strings that should be interpreted as false values.", + "default": ["n", "no", "f", "false", "off", "0"], + "type": "array", + "items": { + "type": "string" + }, + "uniqueItems": true + } }, - "true_values": { - "title": "True Values", - "description": "A set of case-sensitive strings that should be interpreted as true values.", - "default": ["y", "yes", "t", "true", "on", "1"], - "type": "array", - "items": { + "required": ["filetype"] + }, + { + "title": "Jsonl Format", + "type": "object", + "properties": { + "filetype": { + "title": "Filetype", + "default": "jsonl", + "const": "jsonl", "type": "string" - }, - "uniqueItems": true + } }, - "false_values": { - "title": "False Values", - "description": "A set of case-sensitive strings that should be interpreted as false values.", - "default": ["n", "no", "f", "false", "off", "0"], - "type": "array", - "items": { + "required": ["filetype"] + }, + { + "title": "Parquet Format", + "type": "object", + "properties": { + "filetype": { + "title": "Filetype", + "default": "parquet", + "const": "parquet", "type": "string" }, - "uniqueItems": true - } + "decimal_as_float": { + "title": "Convert Decimal Fields to Floats", + "description": "Whether to convert decimal fields to floats. There is a loss of precision when converting decimals to floats, so this is not recommended.", + "default": false, + "type": "boolean" + } + }, + "required": ["filetype"] }, - "required": ["filetype"] + { + "title": "Document File Type Format (Experimental)", + "type": "object", + "properties": { + "filetype": { + "title": "Filetype", + "default": "unstructured", + "const": "unstructured", + "type": "string" + }, + "skip_unprocessable_files": { + "title": "Skip Unprocessable Files", + "description": "If true, skip files that cannot be parsed and pass the error message along as the _ab_source_file_parse_error field. If false, fail the sync.", + "default": true, + "always_show": true, + "type": "boolean" + }, + "strategy": { + "title": "Parsing Strategy", + "description": "The strategy used to parse documents. `fast` extracts text directly from the document which doesn't work for all files. `ocr_only` is more reliable, but slower. `hi_res` is the most reliable, but requires an API key and a hosted instance of unstructured and can't be used with local mode. See the unstructured.io documentation for more details: https://unstructured-io.github.io/unstructured/core/partition.html#partition-pdf", + "default": "auto", + "always_show": true, + "order": 0, + "enum": ["auto", "fast", "ocr_only", "hi_res"], + "type": "string" + }, + "processing": { + "title": "Processing", + "description": "Processing configuration", + "default": { + "mode": "local" + }, + "type": "object", + "oneOf": [ + { + "title": "Local", + "type": "object", + "properties": { + "mode": { + "title": "Mode", + "default": "local", + "const": "local", + "enum": ["local"], + "type": "string" + } + }, + "description": "Process files locally, supporting `fast` and `ocr` modes. This is the default option.", + "required": ["mode"] + } + ] + } + }, + "description": "Extract text from document formats (.pdf, .docx, .md, .pptx) and emit as one record per file.", + "required": ["filetype"] + } + ] + }, + "schemaless": { + "title": "Schemaless", + "description": "When enabled, syncs will not validate or structure records against the stream's schema.", + "default": false, + "type": "boolean" + } + }, + "required": ["name", "format"] + } + }, + "credentials": { + "title": "Authentication", + "description": "Credentials for connecting to the One Drive API", + "type": "object", + "order": 0, + "oneOf": [ + { + "title": "Authenticate via Microsoft (OAuth)", + "description": "OAuthCredentials class to hold authentication details for Microsoft OAuth authentication.\nThis class uses pydantic for data validation and settings management.", + "type": "object", + "properties": { + "auth_type": { + "title": "Auth Type", + "default": "Client", + "const": "Client", + "enum": ["Client"], + "type": "string" }, - { - "title": "Jsonl Format", - "type": "object", - "properties": { - "filetype": { - "title": "Filetype", - "default": "jsonl", - "const": "jsonl", - "type": "string" - } - }, - "required": ["filetype"] + "tenant_id": { + "title": "Tenant ID", + "description": "Tenant ID of the Microsoft SharePoint user", + "airbyte_secret": true, + "type": "string" }, - { - "title": "Parquet Format", - "type": "object", - "properties": { - "filetype": { - "title": "Filetype", - "default": "parquet", - "const": "parquet", - "type": "string" - }, - "decimal_as_float": { - "title": "Convert Decimal Fields to Floats", - "description": "Whether to convert decimal fields to floats. There is a loss of precision when converting decimals to floats, so this is not recommended.", - "default": false, - "type": "boolean" - } - }, - "required": ["filetype"] + "client_id": { + "title": "Client ID", + "description": "Client ID of your Microsoft developer application", + "airbyte_secret": true, + "type": "string" }, - { - "title": "Document File Type Format (Experimental)", - "type": "object", - "properties": { - "filetype": { - "title": "Filetype", - "default": "unstructured", - "const": "unstructured", - "type": "string" - }, - "skip_unprocessable_files": { - "title": "Skip Unprocessable Files", - "description": "If true, skip files that cannot be parsed and pass the error message along as the _ab_source_file_parse_error field. If false, fail the sync.", - "default": true, - "always_show": true, - "type": "boolean" - }, - "strategy": { - "title": "Parsing Strategy", - "description": "The strategy used to parse documents. `fast` extracts text directly from the document which doesn't work for all files. `ocr_only` is more reliable, but slower. `hi_res` is the most reliable, but requires an API key and a hosted instance of unstructured and can't be used with local mode. See the unstructured.io documentation for more details: https://unstructured-io.github.io/unstructured/core/partition.html#partition-pdf", - "default": "auto", - "always_show": true, - "order": 0, - "enum": ["auto", "fast", "ocr_only", "hi_res"], - "type": "string" - }, - "processing": { - "title": "Processing", - "description": "Processing configuration", - "default": { - "mode": "local" - }, - "type": "object", - "oneOf": [ - { - "title": "Local", - "type": "object", - "properties": { - "mode": { - "title": "Mode", - "default": "local", - "const": "local", - "enum": ["local"], - "type": "string" - } - }, - "description": "Process files locally, supporting `fast` and `ocr` modes. This is the default option.", - "required": ["mode"] - } - ] - } - }, - "description": "Extract text from document formats (.pdf, .docx, .md, .pptx) and emit as one record per file.", - "required": ["filetype"] + "client_secret": { + "title": "Client Secret", + "description": "Client Secret of your Microsoft developer application", + "airbyte_secret": true, + "type": "string" + }, + "refresh_token": { + "title": "Refresh Token", + "description": "Refresh Token of your Microsoft developer application", + "airbyte_secret": true, + "type": "string" } + }, + "required": [ + "tenant_id", + "client_id", + "client_secret", + "refresh_token" ] }, - "schemaless": { - "title": "Schemaless", - "description": "When enabled, syncs will not validate or structure records against the stream's schema.", - "default": false, - "type": "boolean" + { + "title": "Service Key Authentication", + "description": "ServiceCredentials class for service key authentication.\nThis class is structured similarly to OAuthCredentials but for a different authentication method.", + "type": "object", + "properties": { + "auth_type": { + "title": "Auth Type", + "default": "Service", + "const": "Service", + "enum": ["Service"], + "type": "string" + }, + "tenant_id": { + "title": "Tenant ID", + "description": "Tenant ID of the Microsoft SharePoint user", + "airbyte_secret": true, + "type": "string" + }, + "user_principal_name": { + "title": "User Principal Name", + "description": "Special characters such as a period, comma, space, and the at sign (@) are converted to underscores (_). More details: https://learn.microsoft.com/en-us/sharepoint/list-onedrive-urls", + "airbyte_secret": true, + "type": "string" + }, + "client_id": { + "title": "Client ID", + "description": "Client ID of your Microsoft developer application", + "airbyte_secret": true, + "type": "string" + }, + "client_secret": { + "title": "Client Secret", + "description": "Client Secret of your Microsoft developer application", + "airbyte_secret": true, + "type": "string" + } + }, + "required": [ + "tenant_id", + "user_principal_name", + "client_id", + "client_secret" + ] } - }, - "required": ["name", "format"] + ] + }, + "search_scope": { + "title": "Search Scope", + "description": "Specifies the location(s) to search for files. Valid options are 'ACCESSIBLE_DRIVES' for all SharePoint drives the user can access, 'SHARED_ITEMS' for shared items the user has access to, and 'ALL' to search both.", + "default": "ALL", + "enum": ["ACCESSIBLE_DRIVES", "SHARED_ITEMS", "ALL"], + "order": 3, + "type": "string" + }, + "folder_path": { + "title": "Folder Path", + "description": "Path to a specific folder within the drives to search for files. Leave empty to search all folders of the drives. This does not apply to shared items.", + "default": ".", + "order": 4, + "type": "string" } }, - "credentials": { - "title": "Authentication", - "description": "Credentials for connecting to the One Drive API", - "type": "object", - "order": 0, - "oneOf": [ - { - "title": "Authenticate via Microsoft (OAuth)", - "description": "OAuthCredentials class to hold authentication details for Microsoft OAuth authentication.\nThis class uses pydantic for data validation and settings management.", - "type": "object", - "properties": { - "auth_type": { - "title": "Auth Type", - "default": "Client", - "const": "Client", - "enum": ["Client"], - "type": "string" - }, - "tenant_id": { - "title": "Tenant ID", - "description": "Tenant ID of the Microsoft SharePoint user", - "airbyte_secret": true, - "type": "string" - }, - "client_id": { - "title": "Client ID", - "description": "Client ID of your Microsoft developer application", - "airbyte_secret": true, - "type": "string" - }, - "client_secret": { - "title": "Client Secret", - "description": "Client Secret of your Microsoft developer application", - "airbyte_secret": true, - "type": "string" - }, - "refresh_token": { - "title": "Refresh Token", - "description": "Refresh Token of your Microsoft developer application", - "airbyte_secret": true, - "type": "string" - } - }, - "required": [ - "tenant_id", - "client_id", - "client_secret", - "refresh_token" - ] - }, - { - "title": "Service Key Authentication", - "description": "ServiceCredentials class for service key authentication.\nThis class is structured similarly to OAuthCredentials but for a different authentication method.", - "type": "object", - "properties": { - "auth_type": { - "title": "Auth Type", - "default": "Service", - "const": "Service", - "enum": ["Service"], - "type": "string" - }, - "tenant_id": { - "title": "Tenant ID", - "description": "Tenant ID of the Microsoft SharePoint user", - "airbyte_secret": true, - "type": "string" - }, - "user_principal_name": { - "title": "User Principal Name", - "description": "Special characters such as a period, comma, space, and the at sign (@) are converted to underscores (_). More details: https://learn.microsoft.com/en-us/sharepoint/list-onedrive-urls", - "airbyte_secret": true, - "type": "string" - }, - "client_id": { - "title": "Client ID", - "description": "Client ID of your Microsoft developer application", - "airbyte_secret": true, - "type": "string" - }, - "client_secret": { - "title": "Client Secret", - "description": "Client Secret of your Microsoft developer application", - "airbyte_secret": true, - "type": "string" - } - }, - "required": [ - "tenant_id", - "user_principal_name", - "client_id", - "client_secret" - ] - } - ] - }, - "folder_path": { - "title": "Folder Path", - "description": "Path to folder of the Microsoft SharePoint drive where the file(s) exist.", - "order": 3, - "type": "string" - } + "required": ["streams", "credentials"] }, - "required": ["streams", "credentials", "folder_path"] - }, - "advanced_auth": { - "auth_flow_type": "oauth2.0", - "predicate_key": ["credentials", "auth_type"], - "predicate_value": "Client", - "oauth_config_specification": { - "complete_oauth_output_specification": { - "type": "object", - "additionalProperties": false, - "properties": { - "refresh_token": { - "type": "string", - "path_in_connector_config": ["credentials", "refresh_token"] + "advanced_auth": { + "auth_flow_type": "oauth2.0", + "predicate_key": ["credentials", "auth_type"], + "predicate_value": "Client", + "oauth_config_specification": { + "oauth_user_input_from_connector_config_specification": { + "type": "object", + "additionalProperties": false, + "properties": { + "tenant_id": { + "type": "string", + "path_in_connector_config": ["credentials", "tenant_id"] + } } - } - }, - "complete_oauth_server_input_specification": { - "type": "object", - "additionalProperties": false, - "properties": { - "client_id": { - "type": "string" - }, - "client_secret": { - "type": "string" + }, + "complete_oauth_output_specification": { + "type": "object", + "additionalProperties": false, + "properties": { + "refresh_token": { + "type": "string", + "path_in_connector_config": ["credentials", "refresh_token"] + } } - } - }, - "complete_oauth_server_output_specification": { - "type": "object", - "additionalProperties": false, - "properties": { - "client_id": { - "type": "string", - "path_in_connector_config": ["credentials", "client_id"] - }, - "client_secret": { - "type": "string", - "path_in_connector_config": ["credentials", "client_secret"] + }, + "complete_oauth_server_input_specification": { + "type": "object", + "additionalProperties": false, + "properties": { + "client_id": { + "type": "string" + }, + "client_secret": { + "type": "string" + } + } + }, + "complete_oauth_server_output_specification": { + "type": "object", + "additionalProperties": false, + "properties": { + "client_id": { + "type": "string", + "path_in_connector_config": ["credentials", "client_id"] + }, + "client_secret": { + "type": "string", + "path_in_connector_config": ["credentials", "client_secret"] + } } } } diff --git a/airbyte-integrations/connectors/source-microsoft-sharepoint/main.py b/airbyte-integrations/connectors/source-microsoft-sharepoint/main.py index d9b4eee715dcb..4823f26520493 100644 --- a/airbyte-integrations/connectors/source-microsoft-sharepoint/main.py +++ b/airbyte-integrations/connectors/source-microsoft-sharepoint/main.py @@ -2,15 +2,7 @@ # Copyright (c) 2023 Airbyte, Inc., all rights reserved. # - -import sys - -from airbyte_cdk import AirbyteEntrypoint -from airbyte_cdk.entrypoint import launch -from source_microsoft_sharepoint import SourceMicrosoftSharePoint +from source_microsoft_sharepoint.run import run if __name__ == "__main__": - args = sys.argv[1:] - catalog_path = AirbyteEntrypoint.extract_catalog(args) - source = SourceMicrosoftSharePoint(catalog_path) - launch(source, args) + run() diff --git a/airbyte-integrations/connectors/source-microsoft-sharepoint/metadata.yaml b/airbyte-integrations/connectors/source-microsoft-sharepoint/metadata.yaml index a96fa802e95f6..e0348a92c9f2d 100644 --- a/airbyte-integrations/connectors/source-microsoft-sharepoint/metadata.yaml +++ b/airbyte-integrations/connectors/source-microsoft-sharepoint/metadata.yaml @@ -6,6 +6,10 @@ data: hosts: - graph.microsoft.com - login.microsoftonline.com + remoteRegistries: + pypi: + enabled: true + packageName: airbyte-source-microsoft-sharepoint registries: oss: enabled: true @@ -16,7 +20,7 @@ data: connectorSubtype: file connectorType: source definitionId: 59353119-f0f2-4e5a-a8ba-15d887bc34f6 - dockerImageTag: 0.1.0 + dockerImageTag: 0.2.0 dockerRepository: airbyte/source-microsoft-sharepoint githubIssueLabel: source-microsoft-sharepoint icon: microsoft-sharepoint.svg diff --git a/airbyte-integrations/connectors/source-microsoft-sharepoint/poetry.lock b/airbyte-integrations/connectors/source-microsoft-sharepoint/poetry.lock new file mode 100644 index 0000000000000..8f04ae3183590 --- /dev/null +++ b/airbyte-integrations/connectors/source-microsoft-sharepoint/poetry.lock @@ -0,0 +1,2277 @@ +# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. + +[[package]] +name = "airbyte-cdk" +version = "0.61.0" +description = "A framework for writing Airbyte Connectors." +optional = false +python-versions = ">=3.8" +files = [ + {file = "airbyte-cdk-0.61.0.tar.gz", hash = "sha256:8beda008c5a177041ac02860a431ce7b1ecd00062a4a8f31fe6ac446cbed3e70"}, + {file = "airbyte_cdk-0.61.0-py3-none-any.whl", hash = "sha256:3f989bfe692c9519d61f9120ddb744ab82c432c2caf25374d4d6f5cdc374a1e9"}, +] + +[package.dependencies] +airbyte-protocol-models = "0.5.1" +avro = {version = ">=1.11.2,<1.12.0", optional = true, markers = "extra == \"file-based\""} +backoff = "*" +cachetools = "*" +Deprecated = ">=1.2,<2.0" +dpath = ">=2.0.1,<2.1.0" +fastavro = {version = ">=1.8.0,<1.9.0", optional = true, markers = "extra == \"file-based\""} +genson = "1.2.2" +isodate = ">=0.6.1,<0.7.0" +Jinja2 = ">=3.1.2,<3.2.0" +jsonref = ">=0.2,<1.0" +jsonschema = ">=3.2.0,<3.3.0" +markdown = {version = "*", optional = true, markers = "extra == \"file-based\""} +pdf2image = {version = "1.16.3", optional = true, markers = "extra == \"file-based\""} +"pdfminer.six" = {version = "20221105", optional = true, markers = "extra == \"file-based\""} +pendulum = "<3.0.0" +pyarrow = {version = "12.0.1", optional = true, markers = "extra == \"file-based\""} +pydantic = ">=1.10.8,<2.0.0" +pyrate-limiter = ">=3.1.0,<3.2.0" +pytesseract = {version = "0.3.10", optional = true, markers = "extra == \"file-based\""} +python-dateutil = "*" +PyYAML = ">=6.0.1" +requests = "*" +requests-cache = "*" +unstructured = [ + {version = "0.10.27", optional = true, markers = "extra == \"file-based\""}, + {version = "0.10.27", extras = ["docx", "pptx"], optional = true, markers = "extra == \"file-based\""}, +] +"unstructured.pytesseract" = {version = ">=0.3.12", optional = true, markers = "extra == 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+[metadata] +lock-version = "2.0" +python-versions = "^3.9,<3.12" +content-hash = "eee8676fc20f015e8f2496c3cb4c46ef8e8d81d828f49466448868efadb0b53a" diff --git a/airbyte-integrations/connectors/source-microsoft-sharepoint/pyproject.toml b/airbyte-integrations/connectors/source-microsoft-sharepoint/pyproject.toml new file mode 100644 index 0000000000000..6f26510ae08a2 --- /dev/null +++ b/airbyte-integrations/connectors/source-microsoft-sharepoint/pyproject.toml @@ -0,0 +1,34 @@ +[build-system] +requires = [ "poetry-core>=1.0.0",] +build-backend = "poetry.core.masonry.api" + +[tool.poetry] +version = "0.2.0" +name = "source-microsoft-sharepoint" +description = "Source implementation for Microsoft SharePoint." +authors = [ "Airbyte ",] +license = "MIT" +readme = "README.md" +documentation = "https://docs.airbyte.com/integrations/sources/microsoft-sharepoint" +homepage = "https://airbyte.com" +repository = "https://github.com/airbytehq/airbyte" +[[tool.poetry.packages]] +include = "source_microsoft_sharepoint" + +[tool.poetry.dependencies] +python = "^3.9,<3.12" +msal = "==1.25.0" +Office365-REST-Python-Client = "==2.5.5" +smart-open = "==6.4.0" + +[tool.poetry.scripts] +source-microsoft-sharepoint = "source_microsoft_sharepoint.run:run" + +[tool.poetry.dependencies.airbyte-cdk] +extras = [ "file-based",] +version = "==0.61.0" + +[tool.poetry.group.dev.dependencies] +pytest-mock = "^3.6.1" +requests-mock = "^1.11.0" +pytest = "^6.1" diff --git a/airbyte-integrations/connectors/source-microsoft-sharepoint/setup.py b/airbyte-integrations/connectors/source-microsoft-sharepoint/setup.py deleted file mode 100644 index ce83f37b59409..0000000000000 --- a/airbyte-integrations/connectors/source-microsoft-sharepoint/setup.py +++ /dev/null @@ -1,32 +0,0 @@ -# -# Copyright (c) 2023 Airbyte, Inc., all rights reserved. -# - - -from setuptools import find_packages, setup - -MAIN_REQUIREMENTS = [ - "airbyte-cdk[file-based]==0.59.2", - "msal~=1.25.0", - "Office365-REST-Python-Client~=2.5.2", - "smart-open~=6.4.0", -] - -TEST_REQUIREMENTS = [ - "pytest-mock~=3.6.1", - "pytest~=6.1", - "requests-mock~=1.11.0", -] - -setup( - name="source_microsoft_sharepoint", - description="Source implementation for Microsoft SharePoint.", - author="Airbyte", - author_email="contact@airbyte.io", - packages=find_packages(), - install_requires=MAIN_REQUIREMENTS, - package_data={"": ["*.json", "*.yaml", "schemas/*.json", "schemas/shared/*.json"]}, - extras_require={ - "tests": TEST_REQUIREMENTS, - }, -) diff --git a/airbyte-integrations/connectors/source-microsoft-sharepoint/source_microsoft_sharepoint/run.py b/airbyte-integrations/connectors/source-microsoft-sharepoint/source_microsoft_sharepoint/run.py new file mode 100644 index 0000000000000..dc64645c0196e --- /dev/null +++ b/airbyte-integrations/connectors/source-microsoft-sharepoint/source_microsoft_sharepoint/run.py @@ -0,0 +1,23 @@ +# +# Copyright (c) 2023 Airbyte, Inc., all rights reserved. +# + + +import sys + +from airbyte_cdk import AirbyteEntrypoint +from airbyte_cdk.entrypoint import launch +from source_microsoft_sharepoint.source import SourceMicrosoftSharePoint + + +def run(): + args = sys.argv[1:] + catalog_path = AirbyteEntrypoint.extract_catalog(args) + config_path = AirbyteEntrypoint.extract_config(args) + state_path = AirbyteEntrypoint.extract_state(args) + source = SourceMicrosoftSharePoint( + SourceMicrosoftSharePoint.read_catalog(catalog_path) if catalog_path else None, + SourceMicrosoftSharePoint.read_config(config_path) if config_path else None, + SourceMicrosoftSharePoint.read_state(state_path) if state_path else None, + ) + launch(source, args) diff --git a/airbyte-integrations/connectors/source-microsoft-sharepoint/source_microsoft_sharepoint/source.py b/airbyte-integrations/connectors/source-microsoft-sharepoint/source_microsoft_sharepoint/source.py index 5515c22e2398f..c3f517434132a 100644 --- a/airbyte-integrations/connectors/source-microsoft-sharepoint/source_microsoft_sharepoint/source.py +++ b/airbyte-integrations/connectors/source-microsoft-sharepoint/source_microsoft_sharepoint/source.py @@ -2,21 +2,25 @@ # Copyright (c) 2023 Airbyte, Inc., all rights reserved. # -from typing import Any -from airbyte_cdk.models import AdvancedAuth, ConnectorSpecification, OAuthConfigSpecification +from typing import Any, Mapping, Optional + +from airbyte_cdk.models import AdvancedAuth, ConfiguredAirbyteCatalog, ConnectorSpecification, OAuthConfigSpecification from airbyte_cdk.sources.file_based.file_based_source import FileBasedSource from airbyte_cdk.sources.file_based.stream.cursor.default_file_based_cursor import DefaultFileBasedCursor +from airbyte_cdk.sources.source import TState from source_microsoft_sharepoint.spec import SourceMicrosoftSharePointSpec from source_microsoft_sharepoint.stream_reader import SourceMicrosoftSharePointStreamReader class SourceMicrosoftSharePoint(FileBasedSource): - def __init__(self, catalog_path: str): + def __init__(self, catalog: Optional[ConfiguredAirbyteCatalog], config: Optional[Mapping[str, Any]], state: Optional[TState]): super().__init__( stream_reader=SourceMicrosoftSharePointStreamReader(), spec_class=SourceMicrosoftSharePointSpec, - catalog_path=catalog_path, + catalog=catalog, + config=config, + state=state, cursor_cls=DefaultFileBasedCursor, ) diff --git a/airbyte-integrations/connectors/source-microsoft-sharepoint/source_microsoft_sharepoint/spec.py b/airbyte-integrations/connectors/source-microsoft-sharepoint/source_microsoft_sharepoint/spec.py index 45434d78b155a..89f4f0a9b971c 100644 --- a/airbyte-integrations/connectors/source-microsoft-sharepoint/source_microsoft_sharepoint/spec.py +++ b/airbyte-integrations/connectors/source-microsoft-sharepoint/source_microsoft_sharepoint/spec.py @@ -86,8 +86,19 @@ class Config: order=0, ) + search_scope: str = Field( + title="Search Scope", + description="Specifies the location(s) to search for files. Valid options are 'ACCESSIBLE_DRIVES' for all SharePoint drives the user can access, 'SHARED_ITEMS' for shared items the user has access to, and 'ALL' to search both.", + default="ALL", + enum=["ACCESSIBLE_DRIVES", "SHARED_ITEMS", "ALL"], + order=3, + ) + folder_path: str = Field( - title="Folder Path", description="Path to folder of the Microsoft SharePoint drive where the file(s) exist.", order=3 + title="Folder Path", + description="Path to a specific folder within the drives to search for files. Leave empty to search all folders of the drives. This does not apply to shared items.", + order=4, + default=".", ) @classmethod diff --git a/airbyte-integrations/connectors/source-microsoft-sharepoint/source_microsoft_sharepoint/stream_reader.py b/airbyte-integrations/connectors/source-microsoft-sharepoint/source_microsoft_sharepoint/stream_reader.py index 97804668cd30a..0c27a28e73c6c 100644 --- a/airbyte-integrations/connectors/source-microsoft-sharepoint/source_microsoft_sharepoint/stream_reader.py +++ b/airbyte-integrations/connectors/source-microsoft-sharepoint/source_microsoft_sharepoint/stream_reader.py @@ -3,16 +3,17 @@ # import logging +from datetime import datetime from functools import lru_cache from io import IOBase -from typing import Iterable, List, Optional +from typing import Iterable, List, Optional, Tuple +import requests import smart_open from airbyte_cdk.sources.file_based.file_based_stream_reader import AbstractFileBasedStreamReader, FileReadMode from airbyte_cdk.sources.file_based.remote_file import RemoteFile from airbyte_cdk.utils.traced_exception import AirbyteTracedException, FailureType from msal import ConfidentialClientApplication -from msal.exceptions import MsalServiceError from office365.graph_client import GraphClient from source_microsoft_sharepoint.spec import SourceMicrosoftSharePointSpec @@ -69,6 +70,7 @@ class SourceMicrosoftSharePointStreamReader(AbstractFileBasedStreamReader): def __init__(self): super().__init__() + self._auth_client = None self._one_drive_client = None @property @@ -76,11 +78,23 @@ def config(self) -> SourceMicrosoftSharePointSpec: return self._config @property - def one_drive_client(self) -> SourceMicrosoftSharePointSpec: + def auth_client(self): + # Lazy initialization of the auth_client + if self._auth_client is None: + self._auth_client = SourceMicrosoftSharePointClient(self._config) + return self._auth_client + + @property + def one_drive_client(self): + # Lazy initialization of the one_drive_client if self._one_drive_client is None: - self._one_drive_client = SourceMicrosoftSharePointClient(self._config).client + self._one_drive_client = self.auth_client.client return self._one_drive_client + def get_access_token(self): + # Directly fetch a new access token from the auth_client each time it's called + return self.auth_client._get_access_token()["access_token"] + @config.setter def config(self, value: SourceMicrosoftSharePointSpec): """ @@ -92,17 +106,72 @@ def config(self, value: SourceMicrosoftSharePointSpec): assert isinstance(value, SourceMicrosoftSharePointSpec) self._config = value - def _list_directories_and_files(self, root_folder, path=None): + def _get_shared_drive_object(self, drive_id: str, object_id: str, path: str) -> List[Tuple[str, str, datetime]]: + """ + Retrieves a list of all nested files under the specified object. + + Args: + drive_id: The ID of the drive containing the object. + object_id: The ID of the object to start the search from. + + Returns: + A list of tuples containing file information (name, download URL, and last modified datetime). + + Raises: + RuntimeError: If an error occurs during the request. + """ + + access_token = self.get_access_token() + headers = {"Authorization": f"Bearer {access_token}"} + base_url = f"https://graph.microsoft.com/v1.0/drives/{drive_id}" + + def get_files(url: str, path: str) -> List[Tuple[str, str, datetime]]: + response = requests.get(url, headers=headers) + if response.status_code != 200: + error_info = response.json().get("error", {}).get("message", "No additional error information provided.") + raise RuntimeError(f"Failed to retrieve files from URL '{url}'. HTTP status: {response.status_code}. Error: {error_info}") + + data = response.json() + for child in data.get("value", []): + new_path = path + "/" + child["name"] + if child.get("file"): # Object is a file + last_modified = datetime.strptime(child["lastModifiedDateTime"], "%Y-%m-%dT%H:%M:%SZ") + yield (new_path, child["@microsoft.graph.downloadUrl"], last_modified) + else: # Object is a folder, retrieve children + child_url = f"{base_url}/items/{child['id']}/children" # Use item endpoint for nested objects + yield from get_files(child_url, new_path) + yield from [] + + # Initial request to item endpoint + item_url = f"{base_url}/items/{object_id}" + item_response = requests.get(item_url, headers=headers) + if item_response.status_code != 200: + error_info = item_response.json().get("error", {}).get("message", "No additional error information provided.") + raise RuntimeError( + f"Failed to retrieve the initial shared object with ID '{object_id}' from drive '{drive_id}'. " + f"HTTP status: {item_response.status_code}. Error: {error_info}" + ) + + # Check if the object is a file or a folder + item_data = item_response.json() + if item_data.get("file"): # Initial object is a file + new_path = path + "/" + item_data["name"] + last_modified = datetime.strptime(item_data["lastModifiedDateTime"], "%Y-%m-%dT%H:%M:%SZ") + yield (new_path, item_data["@microsoft.graph.downloadUrl"], last_modified) + else: + # Initial object is a folder, start file retrieval + yield from get_files(f"{item_url}/children", path) + + def _list_directories_and_files(self, root_folder, path): """Enumerates folders and files starting from a root folder.""" drive_items = execute_query_with_retry(root_folder.children.get()) - found_items = [] for item in drive_items: item_path = path + "/" + item.name if path else item.name if item.is_file: - found_items.append((item, item_path)) + yield (item_path, item.properties["@microsoft.graph.downloadUrl"], item.properties["lastModifiedDateTime"]) else: - found_items.extend(self._list_directories_and_files(item, item_path)) - return found_items + yield from self._list_directories_and_files(item, item_path) + yield from [] def _get_files_by_drive_name(self, drives, folder_path): """Yields files from the specified drive.""" @@ -112,10 +181,15 @@ def _get_files_by_drive_name(self, drives, folder_path): for drive in drives: is_sharepoint = drive.drive_type == "documentLibrary" if is_sharepoint: - folder = ( - drive.root if folder_path in self.ROOT_PATH else execute_query_with_retry(drive.root.get_by_path(folder_path).get()) - ) - yield from self._list_directories_and_files(folder) + # Define base path for drive files to differentiate files between drives + if folder_path in self.ROOT_PATH: + folder = drive.root + folder_path_url = drive.web_url + else: + folder = execute_query_with_retry(drive.root.get_by_path(folder_path).get()) + folder_path_url = drive.web_url + "/" + folder_path + + yield from self._list_directories_and_files(folder, folder_path_url) @property @lru_cache(maxsize=None) @@ -136,21 +210,43 @@ def drives(self): return drives + def _get_shared_files_from_all_drives(self, parsed_drives): + drive_ids = [drive.id for drive in parsed_drives] + + shared_drive_items = execute_query_with_retry(self.one_drive_client.me.drive.shared_with_me()) + for drive_item in shared_drive_items: + parent_reference = drive_item.remote_item.parentReference + + # check if drive is already parsed + if parent_reference and parent_reference["driveId"] not in drive_ids: + yield from self._get_shared_drive_object(parent_reference["driveId"], drive_item.id, drive_item.web_url) + + def get_all_files(self): + if self.config.search_scope in ("ACCESSIBLE_DRIVES", "ALL"): + # Get files from accessible drives + yield from self._get_files_by_drive_name(self.drives, self.config.folder_path) + + if self.config.search_scope in ("SHARED_ITEMS", "ALL"): + parsed_drives = [] if self.config.search_scope == "SHARED_ITEMS" else self.drives + + # Get files from shared items + yield from self._get_shared_files_from_all_drives(parsed_drives) + def get_matching_files(self, globs: List[str], prefix: Optional[str], logger: logging.Logger) -> Iterable[RemoteFile]: """ Retrieve all files matching the specified glob patterns in SharePoint. """ - files = self._get_files_by_drive_name(self.drives, self.config.folder_path) + files = self.get_all_files() files_generator = filter_http_urls( self.filter_files_by_globs_and_start_date( [ MicrosoftSharePointRemoteFile( uri=path, - download_url=file.properties["@microsoft.graph.downloadUrl"], - last_modified=file.properties["lastModifiedDateTime"], + download_url=download_url, + last_modified=last_modified, ) - for file, path in files + for path, download_url, last_modified in files ], globs, ), diff --git a/airbyte-integrations/connectors/source-microsoft-sharepoint/source_microsoft_sharepoint/utils.py b/airbyte-integrations/connectors/source-microsoft-sharepoint/source_microsoft_sharepoint/utils.py index c77cd9badbde6..f2c33afacceab 100644 --- a/airbyte-integrations/connectors/source-microsoft-sharepoint/source_microsoft_sharepoint/utils.py +++ b/airbyte-integrations/connectors/source-microsoft-sharepoint/source_microsoft_sharepoint/utils.py @@ -2,6 +2,7 @@ import time from datetime import datetime, timedelta +from enum import Enum from http import HTTPStatus from airbyte_cdk.models import FailureType @@ -9,6 +10,12 @@ from airbyte_cdk.utils.traced_exception import AirbyteTracedException +class SearchScope(Enum): + OWN_DRIVES = "OWN_DRIVES" + SHARED_ITEMS = "SHARED_ITEMS" + BOTH = "BOTH" + + class MicrosoftSharePointRemoteFile(RemoteFile): download_url: str diff --git a/airbyte-integrations/connectors/source-microsoft-sharepoint/unit_tests/test_stream_reader.py b/airbyte-integrations/connectors/source-microsoft-sharepoint/unit_tests/test_stream_reader.py index 4a0d5d7116e50..30640db82e495 100644 --- a/airbyte-integrations/connectors/source-microsoft-sharepoint/unit_tests/test_stream_reader.py +++ b/airbyte-integrations/connectors/source-microsoft-sharepoint/unit_tests/test_stream_reader.py @@ -1,12 +1,11 @@ # # Copyright (c) 2023 Airbyte, Inc., all rights reserved. # -import datetime -from unittest.mock import Mock, patch +from datetime import datetime +from unittest.mock import MagicMock, Mock, PropertyMock, call, patch import pytest from airbyte_cdk.utils.traced_exception import AirbyteTracedException -from msal.exceptions import MsalServiceError from source_microsoft_sharepoint.spec import SourceMicrosoftSharePointSpec from source_microsoft_sharepoint.stream_reader import ( FileReadMode, @@ -19,7 +18,7 @@ def create_mock_drive_item(is_file, name, children=None): """Helper function to create a mock drive item.""" - mock_item = Mock() + mock_item = MagicMock(properties={"@microsoft.graph.downloadUrl": "test_url", "lastModifiedDateTime": "1991-08-24"}) mock_item.is_file = is_file mock_item.name = name mock_item.children.get.return_value.execute_query = Mock(return_value=children or []) @@ -34,6 +33,7 @@ def setup_reader_class(): config.credentials = Mock() config.folder_path = "." config.credentials.auth_type = "Client" + config.search_scope = "ALL" reader.config = config # Set up the necessary configuration # Mock the client creation @@ -43,22 +43,25 @@ def setup_reader_class(): yield reader -@pytest.fixture -def mock_drive_files(): - # Mock files returned by SharePoint +@pytest.fixture(name="mock_drive_files") +def create_mock_drive_files(): + """ + Provides mock data for SharePoint drive files (personal drive). + """ return [ - Mock( - properties={ - "@microsoft.graph.downloadUrl": "https://example.com/file1.csv", - "lastModifiedDateTime": datetime.datetime(2021, 1, 1), - } - ), - Mock( - properties={ - "@microsoft.graph.downloadUrl": "https://example.com/file2.txt", - "lastModifiedDateTime": datetime.datetime(2021, 1, 1), - } - ), + ("file1.csv", "https://example.com/file1.csv", datetime(2021, 1, 1)), + ("file2.txt", "https://example.com/file2.txt", datetime(2021, 1, 1)), + ] + + +@pytest.fixture(name="mock_shared_drive_files") +def create_mock_shared_drive_files(): + """ + Provides mock data for SharePoint drive files (shared drives). + """ + return [ + ("file3.csv", "https://example.com/file3.csv", datetime(2021, 3, 1)), + ("file4.txt", "https://example.com/file4.txt", datetime(2021, 4, 1)), ] @@ -112,9 +115,10 @@ def test_get_access_token(setup_client_class, has_refresh_token, token_response, @patch("source_microsoft_sharepoint.stream_reader.execute_query_with_retry") @patch("source_microsoft_sharepoint.stream_reader.SourceMicrosoftSharePointStreamReader.filter_files_by_globs_and_start_date") -def test_get_matching_files(mock_filter_files, mock_execute_query, setup_reader_class, mock_drive_files): +def test_get_matching_files(mock_filter_files, mock_execute_query, setup_reader_class, mock_drive_files, mock_shared_drive_files): instance = setup_reader_class - instance._get_files_by_drive_name = Mock(return_value=iter([(mock_drive_files[0], "file1.csv"), (mock_drive_files[1], "file2.txt")])) + instance._get_files_by_drive_name = Mock(return_value=mock_drive_files) + instance._get_shared_files_from_all_drives = Mock(return_value=mock_shared_drive_files) # Set up mocks mock_drive = Mock() @@ -131,15 +135,21 @@ def test_get_matching_files(mock_filter_files, mock_execute_query, setup_reader_ files = list(instance.get_matching_files(globs, prefix, logger)) # Assertions - assert len(files) == 1 + assert len(files) == 2 + assert isinstance(files[0], MicrosoftSharePointRemoteFile) assert files[0].uri == "file1.csv" assert "https://example.com/file1.csv" in files[0].download_url + assert isinstance(files[1], MicrosoftSharePointRemoteFile) + assert files[1].uri == "file3.csv" + assert "https://example.com/file3.csv" in files[1].download_url + def test_get_matching_files_empty_drive(setup_reader_class): instance = setup_reader_class instance._get_files_by_drive_name = Mock(return_value=iter([])) + instance._get_shared_files_from_all_drives = Mock(return_value=iter([])) # Define test parameters globs = ["*.csv"] @@ -213,11 +223,13 @@ def test_list_directories_and_files(): stream_reader = SourceMicrosoftSharePointStreamReader() - result = stream_reader._list_directories_and_files(mock_root_folder) + result = list(stream_reader._list_directories_and_files(mock_root_folder, "https://example.com/root")) assert len(result) == 2 - assert result[0][1] == "folder1/file1.txt" - assert result[1][1] == "file2.txt" + assert result == [ + ("https://example.com/root/folder1/file1.txt", "test_url", "1991-08-24"), + ("https://example.com/root/file2.txt", "test_url", "1991-08-24"), + ] @pytest.mark.parametrize( @@ -232,6 +244,7 @@ def test_get_files_by_drive_name(mock_list_directories_and_files, drive_type, fi # Helper function usage mock_drive = Mock() mock_drive.name = "testDrive" + mock_drive.web_url = "https://example.com/testDrive" mock_drive.drive_type = drive_type mock_drive.root.get_by_path.return_value.get().execute_query_with_incremental_retry.return_value = create_mock_drive_item( is_file=False, name="root" @@ -252,3 +265,190 @@ def test_get_files_by_drive_name(mock_list_directories_and_files, drive_type, fi assert len(files) == files_number if files_number: assert files[0].name == "testFile.txt" + + +@pytest.mark.parametrize( + "drive_ids, shared_drive_item_dicts, expected_result, expected_calls", + [ + ([1, 2, 3], [], [], []), + ([1, 2, 3], [{"drive_id": 1, "id": 4, "web_url": "test_url4"}], [], []), + ([1, 2, 3], [{"drive_id": 4, "id": 4, "web_url": "test_url4"}], [4], [call(4, 4, "test_url4")]), + ( + [1, 2, 3], + [{"drive_id": 4, "id": 4, "web_url": "test_url4"}, {"drive_id": 5, "id": 5, "web_url": "test_url5"}], + [4, 5], + [call(4, 4, "test_url4"), call(5, 5, "test_url5")], + ), + ( + [1, 2, 3], + [ + {"drive_id": 4, "id": 4, "web_url": "test_url4"}, + {"drive_id": 5, "id": 5, "web_url": "test_url5"}, + {"drive_id": 6, "id": 6, "web_url": "test_url6"}, + ], + [4, 5, 6], + [call(4, 4, "test_url4"), call(5, 5, "test_url5"), call(6, 6, "test_url6")], + ), + ], +) +@patch("source_microsoft_sharepoint.stream_reader.execute_query_with_retry", side_effect=lambda x: x) +def test_get_shared_files_from_all_drives( + mock_execute_query_with_retry, drive_ids, shared_drive_item_dicts, expected_result, expected_calls +): + stream_reader = SourceMicrosoftSharePointStreamReader() + stream_reader._config = Mock() + + # Mock _get_shared_drive_object method + with patch.object( + SourceMicrosoftSharePointStreamReader, "_get_shared_drive_object", return_value=expected_result + ) as mock_get_shared_drive_object: + # Setup shared_drive_items mock objects + shared_drive_items = [ + MagicMock(remote_item=MagicMock(parentReference={"driveId": item["drive_id"]}), id=item["id"], web_url=item["web_url"]) + for item in shared_drive_item_dicts + ] + + with patch.object(SourceMicrosoftSharePointStreamReader, "one_drive_client", new_callable=PropertyMock) as mock_one_drive_client: + mock_one_drive_client.return_value.me.drive.shared_with_me.return_value = shared_drive_items + + mock_drives = [Mock(id=drive_id) for drive_id in drive_ids] + + # Execute the method under test + list(stream_reader._get_shared_files_from_all_drives(mock_drives)) + + # Assert _get_shared_drive_object was called correctly + mock_get_shared_drive_object.assert_has_calls(expected_calls, any_order=True) + + +# Sample data for mocking responses +file_response = { + "file": True, + "name": "TestFile.txt", + "@microsoft.graph.downloadUrl": "http://example.com/download", + "lastModifiedDateTime": "2021-01-01T00:00:00Z", +} + +empty_folder_response = {"folder": True, "value": []} + +# Adjusting the folder_with_nested_files to represent the initial folder response +folder_with_nested_files_initial = { + "folder": True, + "value": [ + {"id": "subfolder1", "folder": True, "name": "subfolder1"}, + {"id": "subfolder2", "folder": True, "name": "subfolder2"}, + ], # Empty subfolder # Subfolder with a file +} + +# Response for the empty subfolder (subfolder1) +empty_subfolder_response = {"value": [], "name": "subfolder1"} # No files or folders inside subfolder1 + +# Response for the subfolder with a file (subfolder2) +not_empty_subfolder_response = { + "value": [ + { + "file": True, + "name": "NestedFile.txt", + "@microsoft.graph.downloadUrl": "http://example.com/nested", + "lastModifiedDateTime": "2021-01-02T00:00:00Z", + } + ], + "name": "subfolder2", +} + + +@pytest.mark.parametrize( + "initial_response, subsequent_responses, expected_result, raises_error, expected_error_message, initial_path", + [ + # Object ID is a file + ( + file_response, + [], + [ + ( + "http://example.com/TestFile.txt", + "http://example.com/download", + datetime.strptime("2021-01-01T00:00:00Z", "%Y-%m-%dT%H:%M:%SZ"), + ) + ], + False, + None, + "http://example.com", + ), + # Object ID is an empty folder + (empty_folder_response, [empty_subfolder_response], [], False, None, "http://example.com"), + # Object ID is a folder with empty subfolders and files + ( + {"folder": True, "name": "root"}, # Initial folder response + [ + folder_with_nested_files_initial, + empty_subfolder_response, + not_empty_subfolder_response, + ], + [ + ( + "http://example.com/subfolder2/NestedFile.txt", + "http://example.com/nested", + datetime.strptime("2021-01-02T00:00:00Z", "%Y-%m-%dT%H:%M:%SZ"), + ) + ], + False, + None, + "http://example.com", + ), + # Error response on initial request + ( + MagicMock(status_code=400, json=MagicMock(return_value={"error": {"message": "Bad Request"}})), + [], + [], + True, + "Failed to retrieve the initial shared object with ID 'dummy_object_id' from drive 'dummy_drive_id'. HTTP status: 400. Error: Bad Request", + "http://example.com", + ), + # Error response while iterating over nested + ( + {"folder": True, "name": "root"}, + [MagicMock(status_code=400, json=MagicMock(return_value={"error": {"message": "Bad Request"}}))], + [], + True, + ( + "Failed to retrieve files from URL " + "'https://graph.microsoft.com/v1.0/drives/dummy_drive_id/items/dummy_object_id/children'. " + "HTTP status: 400. Error: Bad Request" + ), + "http://example.com", + ), + ], +) +@patch("source_microsoft_sharepoint.stream_reader.requests.get") +@patch("source_microsoft_sharepoint.stream_reader.SourceMicrosoftSharePointStreamReader.get_access_token") +def test_get_shared_drive_object( + mock_get_access_token, + mock_requests_get, + initial_response, + subsequent_responses, + expected_result, + raises_error, + expected_error_message, + initial_path, +): + mock_get_access_token.return_value = "dummy_access_token" + mock_responses = [ + initial_response + if isinstance(initial_response, MagicMock) + else MagicMock(status_code=200, json=MagicMock(return_value=initial_response)) + ] + for response in subsequent_responses: + mock_responses.append( + response if isinstance(response, MagicMock) else MagicMock(status_code=200, json=MagicMock(return_value=response)) + ) + mock_requests_get.side_effect = mock_responses + + reader = SourceMicrosoftSharePointStreamReader() + + if raises_error: + with pytest.raises(RuntimeError) as exc_info: + list(reader._get_shared_drive_object("dummy_drive_id", "dummy_object_id", initial_path)) + assert str(exc_info.value) == expected_error_message + else: + result = list(reader._get_shared_drive_object("dummy_drive_id", "dummy_object_id", initial_path)) + assert result == expected_result diff --git a/docs/integrations/sources/microsoft-sharepoint.md b/docs/integrations/sources/microsoft-sharepoint.md index db706d7333553..da10cb6e83211 100644 --- a/docs/integrations/sources/microsoft-sharepoint.md +++ b/docs/integrations/sources/microsoft-sharepoint.md @@ -25,16 +25,17 @@ This page contains the setup guide and reference information for the Microsoft S 3. On the Set up the source page, select **Microsoft SharePoint** from the Source type dropdown. 4. Enter the name for the Microsoft SharePoint connector. 5. Enter **Drive Name**. To find your drive name go to settings and at the top of setting menu you can find the name of your drive. -6. Enter **Folder Path**. -7. The **OAuth2.0** authorization method is selected by default. Click **Authenticate your Microsoft SharePoint account**. Log in and authorize your Microsoft account. -8. For **Start Date**, enter the date in YYYY-MM-DD format. The data added on and after this date will be replicated. -9. Add a stream: +6. Select **Search Scope**. Specifies the location(s) to search for files. Valid options are 'ACCESSIBLE_DRIVES' for all SharePoint drives the user can access, 'SHARED_ITEMS' for shared items the user has access to, and 'ALL' to search both. Default value is 'ALL'. +7. Enter **Folder Path**. Leave empty to search all folders of the drives. This does not apply to shared items. +8. The **OAuth2.0** authorization method is selected by default. Click **Authenticate your Microsoft SharePoint account**. Log in and authorize your Microsoft account. +9. For **Start Date**, enter the date in YYYY-MM-DD format. The data added on and after this date will be replicated. +10. Add a stream: 1. Write the **File Type** 2. In the **Format** box, use the dropdown menu to select the format of the files you'd like to replicate. The supported formats are **CSV**, **Parquet**, **Avro** and **JSONL**. Toggling the **Optional fields** button within the **Format** box will allow you to enter additional configurations based on the selected format. For a detailed breakdown of these settings, refer to the [File Format section](#file-format-settings) below. 3. Give a **Name** to the stream 4. (Optional) - If you want to enforce a specific schema, you can enter a **Input schema**. By default, this value is set to `{}` and will automatically infer the schema from the file\(s\) you are replicating. For details on providing a custom schema, refer to the [User Schema section](#user-schema). 5. Optionally, enter the **Globs** which dictates which files to be synced. This is a regular expression that allows Airbyte to pattern match the specific files to replicate. If you are replicating all the files within your bucket, use `**` as the pattern. For more precise pattern matching options, refer to the [Path Patterns section](#path-patterns) below. -10. Click **Set up source** +11. Click **Set up source** @@ -86,18 +87,19 @@ This source requires **Application permissions**. Follow these [instructions](ht 3. On the **Set up** the source page, select **Microsoft SharePoint** from the Source type dropdown. 4. Enter the name for the Microsoft SharePoint connector. 5. Enter **Drive Name**. To find your drive name go to settings and at the top of setting menu you can find the name of your drive. -6. Enter **Folder Path**. -7. Switch to **Service Key Authentication** -8. For **User Practical Name**, enter the [UPN](https://learn.microsoft.com/en-us/sharepoint/list-onedrive-urls) for your user. -9. Enter **Tenant ID**, **Client ID** and **Client secret**. -10. For **Start Date**, enter the date in YYYY-MM-DD format. The data added on and after this date will be replicated. -11. Add a stream: +6. Select **Search Scope**. Specifies the location(s) to search for files. Valid options are 'ACCESSIBLE_DRIVES' for all SharePoint drives the user can access, 'SHARED_ITEMS' for shared items the user has access to, and 'ALL' to search both. Default value is 'ALL'. +7. Enter **Folder Path**. Leave empty to search all folders of the drives. This does not apply to shared items. +8. Switch to **Service Key Authentication** +9. For **User Practical Name**, enter the [UPN](https://learn.microsoft.com/en-us/sharepoint/list-onedrive-urls) for your user. +10. Enter **Tenant ID**, **Client ID** and **Client secret**. +11. For **Start Date**, enter the date in YYYY-MM-DD format. The data added on and after this date will be replicated. +12. Add a stream: 1. Write the **File Type** 2. In the **Format** box, use the dropdown menu to select the format of the files you'd like to replicate. The supported formats are **CSV**, **Parquet**, **Avro** and **JSONL**. Toggling the **Optional fields** button within the **Format** box will allow you to enter additional configurations based on the selected format. For a detailed breakdown of these settings, refer to the [File Format section](#file-format-settings) below. 3. Give a **Name** to the stream 4. (Optional) - If you want to enforce a specific schema, you can enter a **Input schema**. By default, this value is set to `{}` and will automatically infer the schema from the file\(s\) you are replicating. For details on providing a custom schema, refer to the [User Schema section](#user-schema). 5. Optionally, enter the **Globs** which dictates which files to be synced. This is a regular expression that allows Airbyte to pattern match the specific files to replicate. If you are replicating all the files within your bucket, use `**` as the pattern. For more precise pattern matching options, refer to the [Path Patterns section](#path-patterns) below. -12. Click **Set up source** +13. Click **Set up source** @@ -127,8 +129,9 @@ The connector is restricted by normal Microsoft Graph [requests limitation](http ## Changelog -| Version | Date | Pull Request | Subject | -|:--------|:-----------|:---------------------------------------------------------|:-----------| -| 0.1.0 | 2024-01-25 | [33537](https://github.com/airbytehq/airbyte/pull/33537) | New source | +| Version | Date | Pull Request | Subject | +|:--------|:-----------|:---------------------------------------------------------|:--------------------------| +| 0.2.0 | 2024-03-06 | [35830](https://github.com/airbytehq/airbyte/pull/35830) | Add fetching shared items | +| 0.1.0 | 2024-01-25 | [33537](https://github.com/airbytehq/airbyte/pull/33537) | New source |