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            "Programming Language :: Python :: 3.6",
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        "description": "# DataHub Extensions for datapackage-pipelines\n\n## Install\n\n```\npip install datapackage-pipelines-datahub\n```\n\n## Usage\n\nYou will need [DataHub Command Line tool](http://docs.datahub.io/publishers/cli/#installation) to be installed on you machine.\n\nYou can use datapackage-pipelines-datahub as a plugin for [dpp](https://github.com/frictionlessdata/datapackage-pipelines#datapackage-pipelines). In pipeline-spec.yaml it will look like this\n\n```yaml\n  ...\n  - run: datahub.dump.to_datahub\n```\n\n*Note: For pushing datasets to testing server set `DATAHUB_ENV=testing`*\n\n### dump.to_datahub\n\npublishes DataSet to [DataHub.io](http://next.datahub.io/)\n\nParameters:\n\n* `config` - full path to the `config.json` file. Default: `~/.config/datahub/config.json`\n  * Alternatively you can just set `DATAHUB_JSON` environt variable to be equal to the path to the config file\n* `findability` - Dataset visibility on the DataHub.io. One of `public` (default), `private`, `unlisted`.\n* other `data push` related options. Eg: `schedule`, `name` etc... see `data push -h` for more.\n\nExample:\n\n```\ndatahub:\n  title: my-dataset\n  pipeline:\n    -\n      run: load_metadata\n      parameters:\n        url: http://example.com/my-datapackage/datapackage.json\n    -\n      run: load_resource\n      parameters:\n        url: http://example.com/my-datapackage/datapackage.json\n        resource: my-resource\n    -\n      run: datahub.dump.to_datahub\n      parameters:\n        findability: private\n        schedule: every 2d\n        config: config/config.json.datahq\n```\n\n",
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