datapackage-pipelines-goodtables 0.0.1a0

{{ DESCRIPTION }}

A datapackage-pipelines processor to validate tabular resources using goodtables.

Install

# clone the repo and install it with pip

git clone https://github.com/frictionlessdata/datapackage-pipelines-goodtables.git
pip install -e .

Usage

Add the following to the pipeline-spec.yml configuration to validate each resource in the datapackage. A report is outputted to the logger.

...
- run: goodtables.validate
  parameters:
      fail_on_error: True,
      fail_on_warn: False,
      suppress_if_valid: False,
      goodtables:
          <key>: <value>  # options passed to goodtables.validate()

• fail_on_error: An optional boolean to determine whether the pipeline should fail on validation error (default True).

• fail_on_warn: An optional boolean to determine whether the pipeline should fail on validation warning (default False).

• suppress_if_valid: An optional boolean to determine whether the goodtables validation report should be logged if there are no errors or warnings (default False).

• goodtables: An optional object passed to goodtables.validate() to customise its behaviour. See `goodtables.validate() <https://github.com/frictionlessdata/goodtables-py/#validatesource-options>`__ for available options.