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        "author": "Runzhou Li (Leo)",
        "author_email": "me@runzhou.li",
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        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
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        "description": "\nprint-env\n===\n\n[![Build Status](https://travis-ci.org/woozyking/print-env.svg?branch=master)](https://travis-ci.org/woozyking/print-env)\n[![PyPI version](https://badge.fury.io/py/print-env.svg)](https://pypi.org/project/print-env)\n\nCLI to print environment variables from supported files.\n\nThis is derived from projects that:\n\n- Use environment variables as the main interface for configuration\n- Use source-control ignored files to store environment variables for scenarios such as local development\n\n## Install\n\n```bash\n$ pipenv install print-env\n# or\n$ pip install print-env\n```\n\n## Usage\n\nAssume a `.env` file that contains the following content:\n\n```bash\n# .env\nFLASK_APP=app.py\nFLASK_DEBUG=1\nSQL_URI=<SQL connection string that may contain credentials>\n# and more...\n```\n\nThen simply\n\n```bash\n$ print-env\nFLASK_APP=app.py FLASK_DEBUG=1 SQL_URI=<redacted> # and more...\n```\n\nThe above would print out environment variables stored in `.env`, or `env.yml`, or `env.json` (roughly attempted in this order). You can also exclusively specify the file:\n\n```bash\n$ print-env /path/to/env/file.yml\n```\n\nand the script would attempt to parse the file based on its extension given. Note that any file extension that is not of YAML or JSON type is attempted as a dotenv file.\n\nIn fact, you can specify a series of files. Note that in case of duplicates, the last files take precedence, for example:\n\n```bash\n# content of base.env\nLOG_LVL=warning\nAPI_TOKEN=aabbcc\n```\n\n```bash\n# content of dev.env\nLOG_LVL=debug\n```\n\n```bash\n$ print-env base.env dev.env\nLOG_LVL=debug API_TOKEN=aabbcc\n```\n\nAnother common case is when an external file is used to supply environment variables at _deploy-time_, for example, when used with the [serverless framework](https://github.com/serverless/serverless) with a `serverless.yml` that may look like:\n\n```yaml\nservice: env-vars\n\npackage:\n  exclude:\n    - node_modules/**\n    - '*env.yml'\n    - Pipefile\n    - Pipfile.lock\n\nfunctions:\n  test:\n    # test.py - handler()\n    handler: test.handler\n    # sourcing env vars from ./env.yml\n    environment: ${file(./env.yml):}\n```\n\nand for local test runs you can utilize `print-env` to reuse the same `env.yml`:\n\n```bash\n$ env $(print-env) python test.py  # omitted file path since env.yml is on the default try-list\n```\n\nSimilarly, `print-env` can be used for _build-time_ configuration. For example, with an imaginary client-side project with a `package.json` that may look like:\n\n```json\n{\n  \"name\": \"TestApp\",\n  \"version\": \"1.0.1\",\n  \"scripts\": {\n    \"build\": \"env $(print-env local-env.json) parcel build index.html\",\n    \"build:dev\": \"env $(print-env dev-env.json) parcel build index.html\",\n    \"build:prod\": \"env $(print-env prod-env.json) parcel build index.html\"\n  }\n}\n```\n\n\n",
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