Integrate Sifflet Data Observability Platform with Prefect
Requires an installation of Python 3.7+.
We recommend using a Python virtual environment manager such as pipenv, conda or virtualenv.
These tasks are designed to work with Prefect 2.0. For more information about how to use Prefect, please refer to the Prefect documentation.
pip install prefect-sifflet
Then, register to view the block on Prefect Cloud:
prefect block register -m prefect_sifflet.credentials
Note, to use the
load method on Blocks, you must already have a block document saved through code or saved through the UI.
Write and run a flow
from prefect import flow from prefect_sifflet.tasks import ( trigger_sifflet_rule_run, get_sifflet_rule_run, ) @flow def execute_rule(): tenant = "<your tenant>" api_token = "<your API token>" rule_id = "<your rule ID>" response = trigger_sifflet_rule_run( tenant=tenant, api_token=api_token, rule_id=rule_id, wait_for_completion=False ) rule_run_id = response["id"] rule_run_result = get_sifflet_rule_run( tenant=tenant, api_token=api_token, rule_id=rule_id, rule_run_id=rule_run_id ) execute_rule()
If you encounter any bugs while using
prefect-sifflet, feel free to open an issue in the prefect-sifflet repository.
If you have any questions or issues while using
prefect-sifflet, you can find help in either the Prefect Discourse forum or the Prefect Slack community.
Feel free to ⭐️ or watch
prefect-sifflet for updates too!
If you'd like to install a version of
prefect-sifflet for development, clone the repository and perform an editable install with
git clone https://github.com/Siffletapp/prefect-sifflet.git cd prefect-sifflet/ pip install -e ".[dev]" # Install linting pre-commit hooks pre-commit install