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        "author": "Yi Ou",
        "author_email": "dashjson.project@gmail.com",
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            "License :: OSI Approved :: MIT License",
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        "description": "[![Build Status](https://travis-ci.org/ouyi/dashjson.svg?branch=master)](https://travis-ci.org/ouyi/dashjson)\n\n# dashjson.py -- a Datadog tool\n\nA tool for exporting (or importing) Datadog dashboards to (or from) json. It allows the Datadog dashboard definitions to be\n\n- version controlled as json files, and\n- migrated across Datadog accounts\n\nTested with Python 3.6.7 and datadog 0.26.0.\n\n## How to use\n\nCreate the credentials file containing the api\\_key and the app\\_key. Example content of the credentials file (your keys can be found at https://app.datadoghq.com/account/settings#api):\n\n    # cat ~/.dashjson.json\n    {\n        \"api_key\": \"abcdefg12345678\",\n        \"app_key\": \"abcdefg987654321\"\n    }\n\nInstall via pip:\n\n    python3 -m pip install --user dashjson\n\nShow usage of the tool:\n\n    python3 -m dashjson -h\n\n## How to build (for contributors only)\n\nThese are the steps I used on Ubuntu 18.04.\n\nAdd the following lines to `~/.bashrc`:\n\n    # Due to https://github.com/pypa/pipenv/issues/2122\n    export PATH=\"${HOME}/.local/bin:$PATH\"\n\n    # Due to https://github.com/pypa/pipenv/issues/1382\n    export PIPENV_VENV_IN_PROJECT=true\n\nInstall pip and pipenv:\n\n    sudo apt install python3-pip\n    python3 -m pip install --user pipenv\n\nClone and set up the project locally:\n\n    git clone git@github.com:ouyi/dashjson.git\n    cd dashjson\n    pipenv install --dev\n    pipenv run python -m unittest\n    pipenv run python dashjson.py -h\n\nUpload a release:\n\n    rm -rf build/ dist/\n    python setup.py sdist bdist_wheel\n    pip install . -vvv\n    python -m dashjson -h\n    vim setup.py # bump version\n    git add setup.py && git commit -m \"Bump version\"\n    git tag -a my_tag -m \"My message\"\n    git push origin master && git push origin --tags\n    python -m twine upload dist/*\n\n## TODOs\n\n1. Automatically determine the dashboard type\n\nFor import, the information is available in the input file. For export, we can first [get a list of all screenboards](https://docs.datadoghq.com/api/?lang=python#get-all-screenboards) and then check existence by id.\n\n2. Embed a code coverage badge\n\nThe coverage data can be generated with:\n\n    coverage run --source=dashjson -m unittest && coverage report && coverage-badge -f -o coverage.svg\n\n3. Automate the release process\n\n\n",
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        "name": "dashjson",
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        "summary": "A tool for exporting (or importing) Datadog dashboards to (or from) json",
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