Metadata-Version: 2.1
Name: doppler_env
Version: 0.2.1
Summary: Inject Doppler secrets as environment variables into your Python application during local development with debugging support for PyCharm and Visual Studio Code.
Home-page: https://github.com/dopplerhq/python-doppler-env
Author: Doppler
Author-email: support@doppler.com
License: APL 2.0
Project-URL: Bug Reports, https://github.com/dopplerhq/python-doppler-env/issues
Project-URL: Source, https://github.com/dopplerhq/python-doppler-env
Description: # doppler-env
        
        Inject Doppler secrets as environment variables into your Python application during local development with debugging support for PyCharm and Visual Studio Code.
        
        ## How it works
        
        Debugging support in PyCharm and Visual Studio Code is provided by a vendor-specific Python entry-point which prevents the Doppler CLI from being used to directly inject secrets.
        
        This limitation may force developers to use insecure practices such as saving secrets to an unencrypted `.env` file—the issue Doppler was created to prevent.
        
        Simply set the `DOPPLER_ENV` environment variable, and the `doppler-env` package will fetch your secrets using the Doppler CLI, injecting them as environment variables before executing your Python code.
        
        All this while ensuring secrets never touch the file system.
        
        ## Requirements
        
        Ensure you have installed the [Doppler CLI](https://docs.doppler.com/docs/enclave-installation) and [created a project in the Doppler dashboard](https://docs.doppler.com/docs/enclave-project-setup).
        
        Then in a local terminal, authorize the Doppler CLI to retrieve secrets from your workplace:
        
        ```sh
        doppler login
        ```
        
        ## Getting started
        
        1. If you haven't already, open a new terminal window, change into the repository folder, then configure the Doppler CLI by selecting the project and config to supply secrets for:
        
        ```sh
        doppler setup
        ```
        
        2. Install `doppler-env` in your local development environment:
        
        ```sh
        pip install doppler-env
        ```
        
        3. Define the `DOPPLER_ENV` environment variable in your IDE, editor, or terminal:
        
        ```sh
        export DOPPLER_ENV=1
        ```
        
        4. Run or debug your application in your IDE, editor, or terminal:
        
        ```sh
        python src/app.py
        ```
        
        ## Acknowledgements
        
        This approach to injecting environment variables was inspired by [patch-env](https://github.com/caricalabs/patch-env) and customized to be Doppler specific.
        
        ## Issues
        
        For any bug reports, issues, or enhancements, please [create a repository issue](https://github.com/DopplerHQ/python-doppler-env/issues/new).
        
        ## Support
        
        Paid subscribers can use in-product support while those on Doppler's free community plan can receive help in our [Community forum](https://community.doppler.com/).
        
Keywords: doppler,environment variables,app secrets,app config,os.environ
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: Topic :: Utilities
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Provides-Extra: dev
Provides-Extra: test
