The pyproject.toml file In package mode, the only required fields are name and version (either in the project section or in the tool.poetry section). Other fields are optional. In non-package mode, all fields are optional. Note Run poetry check to print warnings about deprecated fields. The project section The project section of the pyproject.toml file according to the specification of the PyPA. name The name of the package. Required in package mode

Managing dependencies Note Since Poetry 2.0, main dependencies can be specified in project.dependencies instead of tool.poetry.dependencies. See Dependency specification for more information. Only main dependencies can be specified in the project section. Other groups must still be specified in the tool.poetry section. Dependency groups Poetry provides a way to organize your dependencies by groups. For instance, you might have dependencies that are only needed to test your project or to build the documentation.

Managing environments Poetry makes project environment isolation one of its core features. What this means is that it will always work isolated from your global Python installation. To achieve this, it will first check if it’s currently running inside a virtual environment. If it is, it will use it directly without creating a new one. But if it’s not, it will use one that it has already created or create a brand new one for you.

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.

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.

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.

The pyproject.toml file The tool.poetry section of the pyproject.toml file is composed of multiple sections. name The name of the package. Required This should be a valid name as defined by PEP 508. name = "my-package" version The version of the package. Required This should be a valid PEP 440 string. version = "0.1.0" Note If you would like to use semantic versioning for your project, please see here. description A short description of the package.

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", ".

Contributing to Poetry First off, thanks for taking the time to contribute! The following is a set of guidelines for contributing to Poetry on GitHub. These are mostly guidelines, not rules. Use your best judgement, and feel free to propose changes to this document in a pull request. How to contribute Reporting bugs This section guides you through submitting a bug report for Poetry. Following these guidelines helps maintainers and the community understand your report, reproduce the behavior, and find related reports.

Managing environments Poetry makes project environment isolation one of its core features. What this means is that it will always work isolated from your global Python installation. To achieve this, it will first check if it’s currently running inside a virtual environment. If it is, it will use it directly without creating a new one. But if it’s not, it will use one that it has already created or create a brand new one for you.