isort VS pip-tools

isort: This library sorts your imports alphabetically, and automatically separates them into sections and by type. It provides a cleaner and more organised way to manage project imports.

isort will sort the imports for you

isort is a Python utility that helps in sorting and organizing import statements in Python code to create readable and consistent code. It automatically formats import statements in accordance with PEP 8.

repos: - repo: https://github.com/ambv/black rev: 23.3.0 hooks: - id: black args: [--config=./pyproject.toml] language_version: python3.11 - repo: https://github.com/pycqa/flake8 rev: 6.0.0 hooks: - id: flake8 args: [--config=./tox.ini] language_version: python3.11 - repo: https://github.com/pycqa/isort rev: 5.12.0 hooks: - id: isort args: ["--profile", "black", "--filter-files"] language_version: python3.11 - repo: https://github.com/pre-commit/pre-commit-hooks rev: v4.4.0 hooks: - id: requirements-txt-fixer language_version: python3.11 - id: debug-statements - id: detect-aws-credentials - id: detect-private-key

repos: ... pre-commmit stuff ... black stuff - repo: https://github.com/pycqa/isort rev: 5.12.0 hooks: - id: isort name: isort (python)

isort

isort , A Python utility / library to sort imports.

Install black and isort and just don't worry about it. :-)

Sure. Also, and don't take this the wrong way, but there are some code smells in your project that could be partially mitigated with some basic linting/formatting. I suggest black as a code formatter, flake8 for basic linting, and isort for sorting imports (for example, you have local imports mixed in with standard library and third party imports). You can install these via pip and most editors (like VS Code) can autoformat on save and show you linting problems as you edit. And you can integrate these into your workflow by using pre-commit.

> Why is the "requirements.txt" file a stupid flat listing of all transitive dependencies with pinned versions? It makes it harder to change library versions even if there are no true conflicts.

My friend, here is what you seek: https://github.com/jazzband/pip-tools

requirements.txt is flat because it's really the output of `pip freeze`. It's supposed to completely and exactly rebuild the environment. Unfortunately it's far too flexible and people abuse it by putting in only direct dependencies etc.

If you're writing packages, you don't need a requirements.txt at all, by the way. Package dependencies (only direct dependencies) live in pyproject.toml with the rest of the package config. requirements.txt (and pip tools) are only for when you want to freeze the whole environment, like for a server deployment.

For all my projects I found myself regenerating manual lock files using complex shell commands with pip-compile to get a reproducible environments across devices using a custom pre-install-command. I finally decided that instead of hacking together the same solution on all my projects I would build a plugin that handles this complexity for me.

Instead of venv, we are using pip-tools in this starter kit. pip-tools take things further in dependency management. Check out what pip-tools does in their official GitHub repo. In short, it helps your project find the best match for the dependent packages. For example, you might need two packages A and B in your project that requires same package C under the hood. But A requires any version of C from 1.0.1 to 1.0.10 and B requires any version of C from 1.0.7 to 1.0.15. Pip tools will automatically compile the version of 'C' that suits for both of your packages.

I've created a small project called just-pip-tools that combines pip-tools and just to manage Python dependencies in a layered approach. This isn't a magic bullet; it's a set of files you can adapt to your needs.

For small projects I recommend pip-tools. Just write packet list in requirements.in and pip-compile compile a requirements.txt with comments.

Take a look at pip-tools, great package. https://github.com/jazzband/pip-tools

pip-tools

I recommend generating a lockfile to document this information, as you might do with pip-tools.

Check out pip-tools [1] which does exactly that, albeit in a slightly more polished way.

[1]: https://github.com/jazzband/pip-tools