python-dotenv
quote
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python-dotenv | quote | |
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27 | 3 | |
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18 days ago | 9 days ago | |
Python | Rust | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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python-dotenv
- What are the best ways to prevent writing secrets in the code.
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Chat with GPT-4 Web App in only 80 lines of Python
I personally just use .env to keep api keys
- I create a library for managing configurations as mappings, supports .env by default
- Error - UnicodeDecodeError: 'utf-8' codec can't decode byte 0xff in position 0: invalid start byte
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Elegantly Handle Environment Variables in Python with Pydantic
similar to dotenv, I like this object oriented approach though.
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pdm-dotenv: Simplify Your Project's Environment Variable Management
Are you working on a Python project that uses pdm for dependency management and dotenv for local environment variable and secrets management? Do you find it frustrating when CLI tools like pgcli don't automatically pick up your .env file, forcing you to resort to npm install -g dotenv-cli? I've got a more convenient solution for you!
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Don't know how to work with .gitignore, first time actively working on a public repo
Similarly, I use python-dotenv which reads environment variables, or variables set in a .env file. Then in your settings.py file you can do things like:
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Writing unit tests, constants, and source control (GIT) question!?
Locally you may want to use a .env file that is also in .gitignore and python-dotenv to auto activate them. Also having an .env.template is also a good idea to help others working on the project know what they need to set in order for things to work.
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Need help running Django at a local machine after deploying it
But there's no web UI to set them for your local dev version. But there are various Python modules that will read environment variables from a file named .env. I like https://github.com/theskumar/python-dotenv myself. So try using that - create a .env file for your local dev site and use dotenv instead of os.getenv() to read the environment variables.
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Build Simple CLI-Based Voice Assistant with PyAudio, Speech Recognition, pyttsx3 and SerpApi
python-dotenv
quote
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C++ vs. Rust Build Times
A surprising source of slow compile times can be declarative macros in Rust [0].
I believe the core of the problem is that it has to reparse the code to pattern match for the macro.
One egregious patter is tt-munchers [1] where your macro is implemented recursively, requiring it to reparse the source on each call [2].
In one of my projects, someone decided to wrap a lot of core functions in simple macros (ie nt tt-munchers) to simplify the signatures. Unlike most macros which are used occasionally and have small inputs, this was a lot of input. When I refactored the code, I suspect dropping the macros is the reason CI times were cut in half and a clean `cargo check` went from 3s to 0.5s.
[0]: https://nnethercote.github.io/2022/04/12/how-to-speed-up-the...
[1]: https://veykril.github.io/tlborm/decl-macros/patterns/tt-mun...
[2]: https://github.com/dtolnay/quote/blob/31c3be473d0457e29c4f47...
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Is generating code from JSON a good macro use case?
In the build.rs, call your code generation function (probably in a separate crate added in build-dependencies). This function will read your input files, and use something like quote to generate code.
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Any good resources for learning Rust macros?
Or you can pair them with crates like syn, and quote for quasi-quoting, and then it's easy to make transformations on the AST of Rust input code. A lot of libraries do this for code-generation and hiding away a lot of complexity (example wasm-bindgen).
What are some alternatives?
python-decouple - Strict separation of config from code.
cargo-expand - Subcommand to show result of macro expansion
django-environ - Django-environ allows you to utilize 12factor inspired environment variables to configure your Django application.
proc-macro-workshop - Learn to write Rust procedural macros [Rust Latam conference, Montevideo Uruguay, March 2019]
ConfigParser
Bytecode - A Rust proc-macro crate which derives functions to compile and parse back enums and structs to and from a bytecode representation
django-dotenv - Loads environment variables from .env
component-keycloak - Commodore Component for Keycloak
dynaconf - Configuration Management for Python ⚙
darling - A Rust proc-macro attribute parser
hydra - Hydra is a framework for elegantly configuring complex applications
hickory - Command line tool for scheduling Python scripts