tap-massive is a Singer tap for Massive.
Built with the Meltano Tap SDK for Singer Taps.
A full list of supported settings and capabilities for this tap is available by running:
tap-massive --aboutThis 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 easily run tap-massive by itself or in a pipeline using Meltano.
tap-massive --version
tap-massive --help
tap-massive --config CONFIG --discover > ./catalog.jsonFollow these instructions to contribute to this project.
Prerequisites:
- Python 3.9+
- uv
uv syncCreate tests within the tests subfolder and
then run:
uv run pytestYou can also test the tap-massive CLI interface directly using uv run:
uv run tap-massive --helpTesting 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-massive
meltano installNow you can test and orchestrate using Meltano:
# Test invocation:
meltano invoke tap-massive --version
# OR run a test ELT pipeline:
meltano run tap-massive target-jsonlThe flat file streams read historical market data from local CSV/CSV.gz files (e.g., stocks EOD, 1-minute bars, trades, quotes). Before running these streams, fetch the data files by running:
./fetch_massive_flat_files.shThen set flat_files_base_dir in your tap config (or MASSIVE_FLAT_FILES_BASE_DIR env var) to the directory containing the asset-class subdirectories (e.g., us_stocks_sip/eod/, global_crypto/bars_1m/).
See the dev guide for more instructions on how to use the SDK to develop your own taps and targets.