Step 7: Use the Connector in Airbyte

To use your connector in your own installation of Airbyte you have to build the docker image for your connector.

Option A: Building the docker image with airbyte-ci

This is the preferred method for building and testing connectors.

If you want to open source your connector we encourage you to use our airbyte-ci tool to build your connector. It will not use a Dockerfile but will build the connector image from our base image and use our internal build logic to build an image from your Python connector code.

Running airbyte-ci connectors --name source-<source-name> build will build your connector image. Once the command is done, you will find your connector image in your local docker host: airbyte/source-<source-name>:dev.

Option B: Building the docker image with a Dockerfile

If you don't want to rely on airbyte-ci to build your connector, you can build the docker image using your own Dockerfile. This method is not preferred, and is not supported for certified connectors.

Create a Dockerfile in the root of your connector directory. The Dockerfile should look something like this:

FROM airbyte/python-connector-base:1.2.0

COPY ./ ./airbyte/integration_code
RUN poetry install -C ./airbyte/integration_code

# The entrypoint and default env vars are already set in the base image
# ENV AIRBYTE_ENTRYPOINT "python /airbyte/integration_code/src/main.py"
# ENTRYPOINT ["python", "/airbyte/integration_code/src/main.py"]

Please use this as an example. This is not optimized.

Build your image:

docker build . -t airbyte/source-example-python:dev

Then, follow the instructions from the building a Python source tutorial for using the connector in the Airbyte UI, replacing the name as appropriate.

Note: your built docker image must be accessible to the docker daemon running on the Airbyte node. If you're doing this tutorial locally, these instructions are sufficient. Otherwise you may need to push your Docker image to Dockerhub.