tap-bls
is a Singer tap for bls.
Built with the Meltano Tap SDK for Singer Taps.
An example GitLab installation command:
pipx install git+https://gitlab.com/ORG_NAME/tap-bls.git
Setting | Required | Default | Description |
---|---|---|---|
registration_key | True | None | Your registration key. Should look like a7f5b9e2c0d48ba1e6d8c90763e45f7d . |
start_year | True | Seven years ago | Only records with a year equal to or greater start_year will be synced. |
end_year | True | Current year | Only records with a year equal to or less than end_year will be synced. |
series_ids | True | None | An array of series IDs to sync. If more than 50 are provided, they will be split into groups of 50 before querying. |
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-bls --about
This Singer tap will automatically import any environment variables within the working directory's
.env
if the --config=ENV
is provided, such that config values will be considered if a matching
environment variable is set either in the terminal context or in the .env
file.
You can obtain a registration key by registering on the bls.gov website.
You can easily run tap-bls
by itself or in a pipeline using Meltano.
tap-bls --version
tap-bls --help
tap-bls --config CONFIG --discover > ./catalog.json
Follow these instructions to contribute to this project.
pipx install poetry
poetry install
Create tests within the tests
subfolder and
then run:
poetry run pytest
You can also test the tap-bls
CLI interface directly using poetry run
:
poetry run tap-bls --help
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.
Next, install Meltano (if you haven't already) and any needed plugins:
# Install meltano
pipx install meltano
# Initialize meltano within this directory
cd tap-bls
meltano install
Now you can test and orchestrate using Meltano:
# Test invocation:
meltano invoke tap-bls --version
# OR run a test `elt` pipeline:
meltano elt tap-bls target-jsonl
See the dev guide for more instructions on how to use the SDK to develop your own taps and targets.