Singer tap for Hookdeck.
Built with the Meltano Singer SDK.
catalog
state
discover
about
stream-maps
schema-flattening
batch
Setting | Required | Default | Description |
---|---|---|---|
api_key | True | None | API Key for Hookdeck |
start_date | False | None | Earliest datetime to get data from |
stream_maps | False | None | Config object for stream maps capability. For more information check out Stream Maps. |
stream_map_config | False | None | User-defined config values to be used within map expressions. |
flattening_enabled | False | None | 'True' to enable schema flattening and automatically expand nested properties. |
flattening_max_depth | False | None | The max depth to flatten schemas. |
batch_config | False | None |
A full list of supported settings and capabilities is available by running: tap-hookdeck --about
- 3.9
- 3.10
- 3.11
- 3.12
- 3.13
See https://hookdeck.com/docs/api#authentication.
You can easily run tap-hookdeck
by itself or in a pipeline using Meltano.
tap-hookdeck --version
tap-hookdeck --help
tap-hookdeck --config CONFIG --discover > ./catalog.json
pipx install hatch
Run integration tests:
hatch run test:integration
You can also test the tap-hookdeck
CLI interface directly:
hatch run sync:console -- --about --format=json
Testing with Meltano
Note: This tap will work in any Singer environment and does not require Meltano. Examples here are for convenience and to streamline end-to-end orchestration scenarios.
Your project comes with a custom meltano.yml
project file already created. Go ahead and install Meltano if you haven't already.
-
Install all plugins
meltano install
-
Check that the extractor is working properly
meltano invoke tap-hookdeck --version
-
Execute an ELT pipeline
meltano run tap-hookdeck target-jsonl
See the dev guide for more instructions on how to use the SDK to develop your own taps and targets.