Skip to main content

Source implementation for jina-ai-reader.

Project description

Jina AI Reader Source

This is the repository for the Jina AI Reader configuration based source connector. For information about how to use this connector within Airbyte, see the documentation.

Local development

Prerequisites

  • Python (^3.9)
  • Poetry (^1.7) - installation instructions here

Installing the connector

From this connector directory, run:

poetry install --with dev

Create credentials

If you are a community contributor, follow the instructions in the documentation to generate the necessary credentials. Then create a file secrets/config.json conforming to the spec inside source_jina_ai_reader/mainfest.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.

Locally running the connector

poetry run source-jina-ai-reader spec
poetry run source-jina-ai-reader check --config secrets/config.json
poetry run source-jina-ai-reader discover --config secrets/config.json
poetry run source-jina-ai-reader read --config secrets/config.json --catalog integration_tests/configured_catalog.json

Running tests

To run tests locally, from the connector directory run:

poetry run pytest tests

Building the docker image

  1. Install airbyte-ci
  2. Run the following command to build the docker image:
airbyte-ci connectors --name=source-jina-ai-reader build

An image will be available on your host with the tag airbyte/source-jina-ai-reader:dev.

Running as a docker container

Then run any of the connector commands as follows:

docker run --rm airbyte/source-jina-ai-reader:dev spec
docker run --rm -v $(pwd)/secrets:/secrets airbyte/source-jina-ai-reader:dev check --config /secrets/config.json
docker run --rm -v $(pwd)/secrets:/secrets airbyte/source-jina-ai-reader:dev discover --config /secrets/config.json
docker run --rm -v $(pwd)/secrets:/secrets -v $(pwd)/integration_tests:/integration_tests airbyte/source-jina-ai-reader:dev read --config /secrets/config.json --catalog /integration_tests/configured_catalog.json

Running our CI test suite

You can run our full test suite locally using airbyte-ci:

airbyte-ci connectors --name=source-jina-ai-reader test

Customizing acceptance Tests

Customize acceptance-test-config.yml file to configure acceptance tests. See Connector Acceptance Tests 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.

Dependency Management

All of your dependencies should be managed via Poetry. To add a new dependency, run:

poetry add <package-name>

Please commit the changes to pyproject.toml and poetry.lock files.

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-jina-ai-reader test
  2. Bump the connector version (please follow 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 sure the connector documentation and its changelog is up to date (docs/integrations/sources/jina-ai-reader.md).
  5. Create a Pull Request: use our PR naming conventions.
  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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

airbyte_source_jina_ai_reader-0.1.29.tar.gz (5.4 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file airbyte_source_jina_ai_reader-0.1.29.tar.gz.

File metadata

File hashes

Hashes for airbyte_source_jina_ai_reader-0.1.29.tar.gz
Algorithm Hash digest
SHA256 62e26eb2bfe186663e7db171f59ddd71b93f376b74e756fa56f286b6e3d5c6f0
MD5 8b5086b187a18af48a8c2c4559aba38a
BLAKE2b-256 0926c149938fccae6d549d00f9efbd5185a047e7e452168a6e22085d27416ff9

See more details on using hashes here.

File details

Details for the file airbyte_source_jina_ai_reader-0.1.29-py3-none-any.whl.

File metadata

File hashes

Hashes for airbyte_source_jina_ai_reader-0.1.29-py3-none-any.whl
Algorithm Hash digest
SHA256 3f978896f9689c14f9516dc6473fbd603c6e1ffcae8128d1d3a2cf20c4cbfde1
MD5 eb728bc3e8864a5b5877f24f8b1b83b7
BLAKE2b-256 b10cb161ec0dad383619c4b5fd2c9d59909ecffa8e6417fef7b4904ce9dd919c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page