{
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        "author": "ClearFoundation",
        "author_email": "developer@clearfoundation.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
            "Natural Language :: English",
            "Operating System :: MacOS",
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        "description": "[![pipeline status](https://gitlab.com/clearos/clearfoundation/datacustodian/badges/master/pipeline.svg)](https://gitlab.com/clearos/clearfoundation/datacustodian/commits/master) [![coverage report](https://gitlab.com/clearos/clearfoundation/datacustodian/badges/master/coverage.svg)](https://gitlab.com/clearos/clearfoundation/datacustodian/commits/master)\n\n# `DataCustodian` Data Privacy Package Generator\n\n`DataCustodian` generates other repositories for generalized\ndata privacy and consent systems. The generation follows YML specification files\nthat define the endpoints, handlers, authentication, validation, etc. for each\ncomponent of a data privacy solution.\n\n`DataCustodian` is built to work with decentralized and distributed systems to\nprovide decentralized trust for storage and consent of data.\n\nCheck out the [API Documentation](https://clearos.gitlab.io/clearfoundation/datacustodian) and a [real-world implementation](https://gitlab.com/clearos/clearfoundation/clearshare).\n\n## Installation\n\nThe package is available from the PyPI repository:\n\n```bash\npip install datacustodian\n```\n\n## Generating a Package\n\nLook at the documentation in `docs/configs` for an example setup that we use for\nthe unit tests. Customize that to your own application and then run:\n\n```bash\ndatacustodian_app.py path/to/your/app_spec.yml --generate\n```\n\nThat will auto-generate the package *and* start the REST API server.\n\n## Running Unit Tests\n\nRunning unit tests can prove to be a massive pain because the gitlab CI runner\nruns on docker. For a project like this that uses `docker-compose`, we have\nto use `docker-in-docker` according to their instructions. However, the\ndocumentation is sparse and there are lots of dead-ends... Here are the steps to\nget the `docker-compose.yml` file to work:\n\n1. Install a local `gitlab-runner` using `brew install gitlab-runner`.\n2. `gitlab-runner exec docker --docker-privileged test`. Notice that there is a\n   `--docker-privileged` argument. Without that, the `docker-in-docker` won't\n   work.\n3. Make sure all the `multiaddr` reference the `docker` service (which hosts\n   all the other containers using `dind`).\n4. `tox` should work, but for some reason: running the tests using `tox` produces\n   connection refused errors, whereas running straight with `pytest` does not.\n   Something about the tox environment screws things up.\n\n## Problems with `coverage`\n\nFor an yet-unknown reason, when the unit tests run in the CI server using:\n\n1. Only `pytest`, they pass with no issues.\n2. `coverage run` with `pytest`, we get problems with connection reset errors,\n   and connection refused errors.\n\nInsead of trying to figure this out now, we just do the following:\n\n1. Before pushing to the remote server, run `coverage` locally (which has no\n   problems on MacOS).\n2. Generate the `coverage report -m > codecov.out`.\n3. Commit `codecov.out` and then push.\n\nThe CI server *only* runs `pytest`, but it also `cat codecov.out` so that the\noutput includes the regular code coverage matrix. That way, `gitlab` still has\ncorrect statistics about code coverage.\n\n\n",
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        "keywords": "",
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        "name": "datacustodian",
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