A framework for writing Airbyte Connectors.
Project description
Airbyte Python CDK and Low-Code CDK
Airbyte Python CDK is a framework for building Airbyte API Source Connectors. It provides a set of classes and helpers that make it easy to build a connector against an HTTP API (REST, GraphQL, etc), or a generic Python source connector.
Usage
If you're looking to build a connector, we highly recommend that you
start with the Connector Builder.
It should be enough for 90% connectors out there. For more flexible and complex connectors, use the
low-code CDK and SourceDeclarativeManifest
.
If that doesn't work, then consider building on top of the lower-level Python CDK itself.
Quick Start
To get started on a Python CDK based connector or a low-code connector, you can generate a connector project from a template:
# from the repo root
cd airbyte-integrations/connector-templates/generator
./generate.sh
Example Connectors
HTTP Connectors:
Python connectors using the bare-bones Source
abstraction:
This will generate a project with a type and a name of your choice and put it in
airbyte-integrations/connectors
. Open the directory with your connector in an editor and follow
the TODO
items.
Python CDK Overview
Airbyte CDK code is within airbyte_cdk
directory. Here's a high level overview of what's inside:
connector_builder
. Internal wrapper that helps the Connector Builder platform run a declarative manifest (low-code connector). You should not use this code directly. If you need to run aSourceDeclarativeManifest
, take a look atsource-declarative-manifest
connector implementation instead.destinations
. Basic Destination connector support! If you're building a Destination connector in Python, try that. Some of our vector DB destinations likedestination-pinecone
are using that code.models
exposeairbyte_protocol.models
as a part ofairbyte_cdk
package.sources/concurrent_source
is the Concurrent CDK implementation. It supports reading data from streams concurrently per slice / partition, useful for connectors with high throughput and high number of records.sources/declarative
is the low-code CDK. It works on top of Airbyte Python CDK, but provides a declarative manifest language to define streams, operations, etc. This makes it easier to build connectors without writing Python code.sources/file_based
is the CDK for file-based sources. Examples include S3, Azure, GCS, etc.
Contributing
Thank you for being interested in contributing to Airbyte Python CDK! Here are some guidelines to get you started:
- We adhere to the code of conduct.
- You can contribute by reporting bugs, posting github discussions, opening issues, improving documentation, and submitting pull requests with bugfixes and new features alike.
- If you're changing the code, please add unit tests for your change.
- When submitting issues or PRs, please add a small reproduction project. Using the changes in your connector and providing that connector code as an example (or a satellite PR) helps!
First time setup
Install the project dependencies and development tools:
poetry install --all-extras
Installing all extras is required to run the full suite of unit tests.
Running tests locally
- Iterate on the CDK code locally
- Run tests via
poetry run poe unit-test-with-cov
, orpython -m pytest -s unit_tests
if you want to pass pytest options. - Run
poetry run poe check-local
to lint all code, type-check modified code, and run unit tests with coverage in one command.
To see all available scripts, run poetry run poe
.
Autogenerated files
Low-code CDK models are generated from sources/declarative/declarative_component_schema.yaml
. If
the iteration you are working on includes changes to the models or the connector generator, you
might want to regenerate them. In order to do that, you can run:
poetry run poe build
This will generate the code generator docker image and the component manifest files based on the schemas and templates.
Testing
All tests are located in the unit_tests
directory. Run poetry run poe unit-test-with-cov
to run
them. This also presents a test coverage report. For faster iteration with no coverage report and
more options, python -m pytest -s unit_tests
is a good place to start.
Building and testing a connector with your local CDK
When developing a new feature in the CDK, you may find it helpful to run a connector that uses that new feature. You can test this in one of two ways:
- Running a connector locally
- Building and running a source via Docker
Installing your local CDK into a local Python connector
Open the connector's pyproject.toml
file and replace the line with airbyte_cdk
with the
following:
airbyte_cdk = { path = "../../../airbyte-cdk/python/airbyte_cdk", develop = true }
Then, running poetry update
should reinstall airbyte_cdk
from your local working directory.
Building a Python connector in Docker with your local CDK installed
Pre-requisite: Install the
airbyte-ci
CLI
You can build your connector image with the local CDK using
# from the airbytehq/airbyte base directory
airbyte-ci connectors --use-local-cdk --name=<CONNECTOR> build
Note that the local CDK is injected at build time, so if you make changes, you will have to run the build command again to see them reflected.
Running Connector Acceptance Tests for a single connector in Docker with your local CDK installed
Pre-requisite: Install the
airbyte-ci
CLI
To run acceptance tests for a single connectors using the local CDK, from the connector directory, run
airbyte-ci connectors --use-local-cdk --name=<CONNECTOR> test
When you don't have access to the API
There may be a time when you do not have access to the API (either because you don't have the credentials, network access, etc...) You will probably still want to do end-to-end testing at least once. In order to do so, you can emulate the server you would be reaching using a server stubbing tool.
For example, using mockserver, you can set up an expectation file like this:
{
"httpRequest": {
"method": "GET",
"path": "/data"
},
"httpResponse": {
"body": "{\"data\": [{\"record_key\": 1}, {\"record_key\": 2}]}"
}
}
Assuming this file has been created at secrets/mock_server_config/expectations.json
, running the
following command will allow to match any requests on path /data
to return the response defined in
the expectation file:
docker run -d --rm -v $(pwd)/secrets/mock_server_config:/config -p 8113:8113 --env MOCKSERVER_LOG_LEVEL=TRACE --env MOCKSERVER_SERVER_PORT=8113 --env MOCKSERVER_WATCH_INITIALIZATION_JSON=true --env MOCKSERVER_PERSISTED_EXPECTATIONS_PATH=/config/expectations.json --env MOCKSERVER_INITIALIZATION_JSON_PATH=/config/expectations.json mockserver/mockserver:5.15.0
HTTP requests to localhost:8113/data
should now return the body defined in the expectations file.
To test this, the implementer either has to change the code which defines the base URL for Python
source or update the url_base
from low-code. With the Connector Builder running in docker, you
will have to use domain host.docker.internal
instead of localhost
as the requests are executed
within docker.
Publishing a new version to PyPi
Python CDK has a
GitHub workflow
that manages the CDK changelog, making a new release for airbyte_cdk
, publishing it to PyPI, and
then making a commit to update (and subsequently auto-release)
source-declarative-manifest
and Connector Builder (in the platform repository).
[!Note]: The workflow will handle the
CHANGELOG.md
entry for you. You should not add changelog lines in your PRs to the CDK itself.
[!Warning]: The workflow bumps version on it's own, please don't change the CDK version in
pyproject.toml
manually.
- You only trigger the release workflow once all the PRs that you want to be included are already
merged into the
master
branch. - The
Publish CDK Manually
workflow from master usingrelease-type=major|manor|patch
and setting the changelog message. - When the workflow runs, it will commit a new version directly to master branch.
- The workflow will bump the version of
source-declarative-manifest
according to therelease-type
of the CDK, then commit these changes back to master. The commit to master will kick off a publish of the new version ofsource-declarative-manifest
. - The workflow will also add a pull request to
airbyte-platform-internal
repo to bump the dependency in Connector Builder.
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