Commands You’ve already learned how to use the command-line interface to do some things. This chapter documents all the available commands. To get help from the command-line, simply call poetry to see the complete list of commands, then --help combined with any of those can give you more information. Global Options --verbose (-v|vv|vvv): Increase the verbosity of messages: “-v” for normal output, “-vv” for more verbose output and “-vvv” for debug. Note You can also set the verbosity level using the SHELL_VERBOSITY environment variable. This is useful in CI/CD pipelines or scripts where you cannot easily modify command-line arguments.

FAQ Why is the dependency resolution process slow? While the dependency resolver at the heart of Poetry is highly optimized and should be fast enough for most cases, with certain sets of dependencies, it can take time to find a valid solution. This is due to the fact that not all libraries on PyPI have properly declared their metadata and, as such, they are not available via the PyPI JSON API. At this point, Poetry has no choice but to download the packages and inspect them to get the necessary information. This is an expensive operation, both in bandwidth and time, which is why it seems this is a long process.

pre-commit hooks pre-commit is a framework for building and running git hooks. See the official documentation for more information: pre-commit.com This document provides a list of available pre-commit hooks provided by Poetry. Note If you specify the args: for a hook in your .pre-commit-config.yaml, the defaults are overwritten. You must fully specify all arguments for your hook if you make use of args:. Note If the pyproject.toml file is not in the root directory, you can specify args: ["-C", "./subdirectory"]. poetry-check The poetry-check hook calls the poetry check command to make sure the poetry configuration does not get committed in a broken state.

Commands You’ve already learned how to use the command-line interface to do some things. This chapter documents all the available commands. To get help from the command-line, simply call poetry to see the complete list of commands, then --help combined with any of those can give you more information. Global options --verbose (-v|vv|vvv): Increase the verbosity of messages: “-v” for normal output, “-vv” for more verbose output and “-vvv” for debug. --help (-h) : Display help information. --quiet (-q) : Do not output any message. --ansi: Force ANSI output. --no-ansi: Disable ANSI output. --version (-V): Display this application version. --no-interaction (-n): Do not ask any interactive question. --no-plugins: Disables plugins. --no-cache: Disables Poetry source caches. --directory=DIRECTORY (-C): The working directory for the Poetry command (defaults to the current working directory). new This command will help you kickstart your new Python project by creating a directory structure suitable for most projects.

Building Extension Modules Warning While this feature has been around since almost the beginning of the Poetry project and has needed minimal changes, it is still considered unstable. You can participate in the discussions about stabilizing this feature here. And as always, your contributions towards the goal of improving this feature are also welcome. Poetry allows a project developer to introduce support for, build and distribute native extensions within their project. In order to achieve this, at the highest level, the following steps are required.

FAQ Why is the dependency resolution process slow? While the dependency resolver at the heart of Poetry is highly optimized and should be fast enough for most cases, with certain sets of dependencies it can take time to find a valid solution. This is due to the fact that not all libraries on PyPI have properly declared their metadata and, as such, they are not available via the PyPI JSON API. At this point, Poetry has no choice but to download the packages and inspect them to get the necessary information. This is an expensive operation, both in bandwidth and time, which is why it seems this is a long process.

Community Badge For any projects using Poetry, you may add its official badge somewhere prominent like the README. Markdown [](https://python-poetry.org/) reStructuredText .. image:: https://img.shields.io/endpoint?url=https://python-poetry.org/badge/v0.json :alt: Poetry :target: https://python-poetry.org/

Configuration Poetry can be configured via the config command (see more about its usage here) or directly in the config.toml file that will be automatically created when you first run that command. This file can typically be found in one of the following directories: macOS: ~/Library/Application Support/pypoetry Windows: %APPDATA%\pypoetry For Unix, we follow the XDG spec and support $XDG_CONFIG_HOME. That means, by default ~/.config/pypoetry. Local configuration Poetry also provides the ability to have settings that are specific to a project by passing the --local option to the config command.

Managing dependencies Poetry supports specifying main dependencies in the project.dependencies section of your pyproject.toml according to PEP 621. For legacy reasons and to define additional information that are only used by Poetry the tool.poetry.dependencies sections can be used. See Dependency specification for more information. Dependency groups Poetry provides a way to organize your dependencies by groups. The dependencies declared in project.dependencies respectively tool.poetry.dependencies are part of an implicit main group. Those dependencies are required by your project during runtime.

Repositories Poetry supports the use of PyPI and private repositories for discovery of packages as well as for publishing your projects. By default, Poetry is configured to use the PyPI repository, for package installation and publishing. So, when you add dependencies to your project, Poetry will assume they are available on PyPI. This represents most cases and will likely be enough for most users. Private Repository Example Installing from private package sources By default, Poetry discovers and installs packages from PyPI. But, you want to install a dependency to your project for a simple API repository? Let’s do it.