问题
Package managers for JavaScript like npm and yarn use a package.json to specify 'top-level' dependencies, and create a lock-file to keep track of the specific versions of all packages (i.e. top-level and sub-level dependencies) that are installed as a result.
In addition, the package.json allows us to make a distinction between types of top-level dependencies, such as production and development.
For Python, on the other hand, we have pip. I suppose the pip equivalent of a lock-file would be the result of pip freeze > requirements.txt.
However, if you maintain only this single requirements.txt file, it is difficult to distinguish between top-level and sub-level dependencies (you would need for e.g. pipdeptree -r to figure those out). This can be a real pain if you want to remove or change top-level dependencies, as it is easy to be left with orphaned packages (as far as I know, pip does not remove sub-dependencies when you pip uninstall a package).
Now, I wonder: Is there some convention for dealing with different types of these requirements files and distinguishing between top-level and sub-level dependencies with pip?
For example, I can imagine having a requirements-prod.txt which contains only the top-level requirements for the production environment, as the (simplified) equivalent of package.json, and a requirements-prod.lock, which contains the output of pip freeze, and acts as my lock-file. In addition I could have a requirements-dev.txt for development dependencies, and so on and so forth.
I would like to know if this is the way to go, or if there is a better approach.
p.s. The same question could be asked for conda's environment.yml.
回答1:
There are at least three good options available today:
pipenv uses Pipfile and Pipfile.lock similarly to how you describe the similar JavaScript files.
pipenvis a "bigger" tool thanpip, in the sense that it also creates and manages virtualenvs.This is likely the most popular option available today, and it will almost certainly replace
pipin many developers' workflows.poetry uses pyproject.toml and poetry.lock files, also similarly to how you describe the JavaScript files.
pip-tools provides
pip-compileandpip-synccommands. Here,requirements.inlists your direct dependencies, often with loose version constraints andpip-compilegenerates locked downrequirements.txtfiles from your.infiles.Personally, I like this tool since it's backwards-compatible (the generated
requirements.txtcan be processed bypip) and thepip-synctool ensures that the virtualenv exactly matches the locked versions, removing things that aren't in your "lock" file.
来源:https://stackoverflow.com/questions/52665596/equivalent-of-package-json-and-package-lock-json-for-pip