PiperRider CLI
Project description
PipeRider
For data practitioner who wants to trust their data by:
- Defining the shape of data, so they can make sure the data will be expected in the future
- Save time on debugging data,easily discover & discuss any data problems from upstream
- Socially collaborate across teams on the dataset through data catalog and data insights
Install
$ pip install piperider
Install with connectors
By default, we support the built-in sqlite connector, there are extra connectors:
- snowflake
- postgres
Install with postgres connector:
pip install piperider[postgres]
It could be more than one connector with comma:
pip install piperider[postgres,snowflake]
Command
Attach piperider to a dbt project
$ piperider-cli init
This command creates /.piperider
under a dbt project root and generate necessary configurations.
Scan models
$ piperider-cli run
This command scans the models from datasource and create assessment results in /.piperider/output
Generate reports
$ piperider-cli generate-report <piperider result file>
generate a static html report under current path.
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