airbyte-integrations/connectors/destination-kvdb/README.md
This is the repository for the Kvdb destination connector, written in Python. It is intended to be an example for how to write a Python destination. KvDB is a very simple key value store, which makes it great for the purposes of illustrating how to write a Python destination connector.
To iterate on this connector, make sure to complete this prerequisites section.
= 3.7.0From 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
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.
From the Airbyte repository root, run:
./gradlew :airbyte-integrations:connectors:destination-kvdb:build
If you are a community contributor, generate the necessary credentials from Kvdb, and then create a file secrets/config.json conforming to the destination_kvdb/spec.json file.
Note that the secrets directory is gitignored by default, so there is no danger of accidentally checking in sensitive information.
See integration_tests/sample_config.json for a sample config file.
If you are an Airbyte core member, copy the credentials in Lastpass under the secret name destination kvdb test creds
and place them into secrets/config.json.
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
Via airbyte-ci (recommended):
airbyte-ci connectors --name=destination-kvdb build
An image will be built with the tag airbyte/destination-kvdb:dev.
Via docker build:
docker build -t airbyte/destination-kvdb:dev .
Then run any of the connector commands as follows:
docker run --rm airbyte/destination-kvdb:dev spec
docker run --rm -v $(pwd)/secrets:/secrets airbyte/destination-kvdb:dev check --config /secrets/config.json
# messages.jsonl is a file containing line-separated JSON representing AirbyteMessages
cat messages.jsonl | docker run --rm -v $(pwd)/secrets:/secrets -v $(pwd)/integration_tests:/integration_tests airbyte/destination-kvdb:dev write --config /secrets/config.json --catalog /integration_tests/configured_catalog.json
Make sure to familiarize yourself with pytest test discovery to know how your test files and methods should be named. First install test dependencies into your virtual environment:
pip install .[tests]
To run unit tests locally, from the connector directory run:
python -m pytest unit_tests
There are two types of integration tests: Acceptance Tests (Airbyte's test suite for all destination connectors) and custom integration tests (which are specific to this connector).
Place custom tests inside integration_tests/ folder, then, from the connector root, run
python -m pytest integration_tests
You can run our full test suite locally using airbyte-ci:
airbyte-ci connectors --name=destination-kvdb test
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:
MAIN_REQUIREMENTS list.TEST_REQUIREMENTS listYou've checked out the repo, implemented a million dollar feature, and you're ready to share your changes with the world. Now what?
airbyte-ci connectors --name=destination-kvdb testmetadata.yaml: increment the dockerImageTag value. Please follow semantic versioning for connectors.metadata.yaml content is up to date.docs/integrations/destinations/kvdb.md).