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            "Environment :: Web Environment",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3.6",
            "Topic :: Internet :: WWW/HTTP :: Dynamic Content",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "Goodtables validation plugin for datapackage-pipelines\n======================================================\n\n| |Travis|\n| |Coveralls|\n| |PyPi|\n| |SemVer|\n| |Gitter|\n\nA\n`datapackage-pipelines <https://github.com/frictionlessdata/datapackage-pipelines>`__\nprocessor to validate tabular resources using\n`goodtables <https://github.com/frictionlessdata/goodtables-py>`__.\n\nInstall\n-------\n\n::\n\n    # clone the repo and install it with pip\n\n    git clone https://github.com/frictionlessdata/datapackage-pipelines-goodtables.git\n    pip install -e .\n\nUsage\n-----\n\nAdd the following to the pipeline-spec.yml configuration to validate\neach resource in the datapackage. A report is outputted to the logger.\n\n.. code:: yaml\n\n      ...\n      - run: goodtables.validate\n        parameters:\n            fail_on_error: True,\n            reports_path: 'path/to/datapackage/reports',  # where reports will be written\n            datapackage_reports_path: 'reports',  # relative to datapackage.json\n            write_report: True,\n            goodtables:\n                <key>: <value>  # options passed to goodtables.validate()\n\n-  ``fail_on_error``: An optional boolean to determine whether the\n   pipeline should fail on validation error (default ``True``).\n-  ``reports_path``: An optional string to define where Goodtables\n   reports should be written (default is ``reports``).\n-  ``datapackage_reports_path``: An optional string to define the path\n   to the report, relative to the datapackage.json (see note below).\n-  ``write_report``: An optional boolean to determine whether a\n   goodtables validation report should be written to ``reports_path``\n   (default is ``True``).\n-  ``goodtables``: An optional object passed to\n   ``goodtables.validate()`` to customise its behaviour. See\n   ```goodtables.validate()`` <https://github.com/frictionlessdata/goodtables-py/#validatesource-options>`__\n   for available options.\n\nIf reports are written, and ``datapackage_reports_path`` is defined, a\n``reports`` property will be added to the datapackage, detailing the\npath to the report for each resource:\n\n.. code:: json\n\n    ...\n    \"reports\": [\n        {\n            \"resource\": \"my-resource\",\n            \"reportType\": \"goodtables\",\n            \"path\": \"path/to/my-resource.json\"\n        }\n    ]\n\nIt is recommended that ``datapackage_reports_path`` is used to define a\nrelative path, from the datapackage.json file, that represents where the\nreport was written. ``datapackage_reports_path`` does not define where\nthe reports will be written, but helps ensure a correct path is defined\nin the ``reports`` property in datapackage.json. This is useful when the\npipeline concludes with a ``dump_to.path`` processor.\n\n.. |Travis| image:: https://img.shields.io/travis/frictionlessdata/datapackage-pipelines-goodtables/master.svg\n   :target: https://travis-ci.org/frictionlessdata/datapackage-pipelines-goodtables\n.. |Coveralls| image:: http://img.shields.io/coveralls/frictionlessdata/datapackage-pipelines-goodtables/master.svg\n   :target: https://coveralls.io/r/frictionlessdata/datapackage-pipelines-goodtables?branch=master\n.. |PyPi| image:: https://img.shields.io/pypi/v/datapackage-pipelines-goodtables.svg\n   :target: https://pypi.python.org/pypi/datapackage-pipelines-goodtables\n.. |SemVer| image:: https://img.shields.io/badge/versions-SemVer-brightgreen.svg\n   :target: http://semver.org/\n.. |Gitter| image:: https://img.shields.io/gitter/room/frictionlessdata/chat.svg\n   :target: https://gitter.im/frictionlessdata/chat\n\n",
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        "keywords": "data",
        "license": "MIT",
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        "maintainer_email": "",
        "name": "datapackage-pipelines-goodtables",
        "package_url": "https://pypi.org/project/datapackage-pipelines-goodtables/",
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