unidep 0.31.0

Unified Conda and Pip requirements management.

🚀 UniDep - Unified Conda and Pip Dependency Management 🚀

unidep streamlines Python project dependency management by allowing a single requirements.yaml file to handle both Conda and Pip dependencies. This approach enables the creation of a unified Conda environment.yaml, while also integrating with setup.py or pyproject.toml. As a command-line interface (CLI) tool, unidep merges multiple requirements.yaml files into a consolidated environment.yaml, and supports generating consistent conda-lock files, which is particularly useful for monorepos. Additionally, it facilitates the installation of Conda, Pip, and local dependencies with a single unidep install command. With unidep, manage all your dependencies efficiently in one place.

:rocket: Features

• 🔗 Unified Management: Single-file handling of Conda and Pip dependencies.
• ⚙️ Project Tool Integration: Easily works with pyproject.toml and setup.py, so requirements.yaml is used during pip install.
• 🏢 Monorepo Support: Merge multiple requirements.yaml into one Conda environment environment.yaml using the CLI tool and maintain a global and per-package conda-lock files.
• 🌍 Platform-Specific Support: Specify dependencies for different operating systems or architectures.
• 🛠️ Conflict Resolution: Simplifies complex dependency management by resolving version conflicts.
• 🔄 unidep install CLI: Automates installation of Conda, Pip, and local package dependencies.

:books: Table of Contents

• :package: Installation
• :page_facing_up: requirements.yaml structure
  • Example
  • Key Points
  • Platform Selectors
    • Supported Selectors
    • Usage
    • Implementation
  • Conflict Resolution
    • How It Works
• :memo: Usage
  • With pyproject.toml or setup.py
  • :memo: As a CLI
    • unidep merge
    • unidep install
    • unidep install-all
    • unidep conda-lock
    • unidep pip
    • unidep conda
• Limitations

:package: Installation

To install unidep, run the following command:

pip install -U unidep

or

conda install -c conda-forge unidep

:page_facing_up: requirements.yaml structure

unidep processes requirements.yaml files with a specific format (similar but not the same as a Conda environment.yaml file):

• name (Optional): For documentation, not used in the output.
• channels: List of sources for packages, such as conda-forge.
• dependencies: Mix of Conda and Pip packages.

Example

Example of a requirements.yaml file:

name: example_environment
channels:
  - conda-forge
dependencies:
  - numpy  # same name on conda and pip
  - conda: python-graphviz  # When names differ between Conda and Pip
    pip: graphviz
  - pip: slurm-usage  # pip-only
  - conda: mumps  # conda-only
  # Use platform selectors; below only on linux64
  - conda: cuda-toolkit  # [linux64]
platforms:  # (Optional) specify platforms that are supported (like conda-lock)
  - linux-64
  - osx-arm64
includes:
  - ../other-project-using-unidep  # include other projects that use unidep
  - ../common-requirements.yaml  # include other requirements.yaml files

⚠️ unidep can process this file in pyproject.toml or setup.py and create a environment.yaml file.

For a more in-depth example, see the example directory.

Key Points

• Standard names (e.g., - numpy) are assumed to be the same for Conda and Pip.
• Use conda: <package> and pip: <package> to specify different names across platforms.
• Use pip: to specify packages that are only available through Pip.
• Use conda: to specify packages that are only available through Conda.
• Use # [selector] to specify platform-specific dependencies.
• Use platforms: to specify the platforms that are supported.
• Use includes: to include other requirements.yaml files and merge them into one.

Using the CLI unidep will combine these dependencies into a single conda installable environment.yaml file.

Platform Selectors

This tool supports a range of platform selectors that allow for specific handling of dependencies based on the user's operating system and architecture. This feature is particularly useful for managing conditional dependencies in diverse environments.

Supported Selectors

The following selectors are supported:

• linux: For all Linux-based systems.
• linux64: Specifically for 64-bit Linux systems.
• aarch64: For Linux systems on ARM64 architectures.
• ppc64le: For Linux on PowerPC 64-bit Little Endian architectures.
• osx: For all macOS systems.
• osx64: Specifically for 64-bit macOS systems.
• arm64: For macOS systems on ARM64 architectures (Apple Silicon).
• macos: An alternative to osx for macOS systems.
• unix: A general selector for all UNIX-like systems (includes Linux and macOS).
• win: For all Windows systems.
• win64: Specifically for 64-bit Windows systems.

Usage

Selectors are used in requirements.yaml files to conditionally include dependencies based on the platform:

dependencies:
  - some-package  # [unix]
  - another-package  # [win]
  - special-package  # [osx64]
  - pip: cirq  # [macos]
    conda: cirq  # [linux]

In this example:

• some-package is included only in UNIX-like environments (Linux and macOS).
• another-package is specific to Windows.
• special-package is included only for 64-bit macOS systems.
• cirq is managed by pip on macOS and by conda on Linux. This demonstrates how you can specify different package managers for the same package based on the platform.

Implementation

The tool parses these selectors and filters dependencies according to the platform where it's being run. This is particularly useful for creating environment files that are portable across different platforms, ensuring that each environment has the appropriate dependencies installed.

Conflict Resolution

unidep features a conflict resolution mechanism to manage version conflicts and platform-specific dependencies in requirements.yaml files. This functionality ensures optimal package version selection based on specified requirements.

How It Works

• Version Pinning Priority: unidep gives priority to version-pinned packages when multiple versions of the same package are specified. For instance, if both foo and foo <1 are listed, foo <1 is selected due to its specific version pin.

• Minimal Scope Selection: unidep resolves platform-specific dependency conflicts by preferring the version with the most limited platform scope. For instance, given foo <1 # [linux64] and foo >1, it installs foo <1 exclusively on Linux-64 and foo >1 on all other platforms. This approach ensures platform-specific requirements are precisely met.

• Resolving Intractable Conflicts: When conflicts are irreconcilable (e.g., foo >1 vs. foo <1), unidep issues a warning and defaults to the first encountered specification.

:memo: Usage

With pyproject.toml or setup.py

To use unidep in your project, you can configure it in pyproject.toml. This setup works alongside a requirements.yaml file located in the same directory. The behavior depends on your project's setup:

• When using only pyproject.toml: The dependencies field in pyproject.toml will be automatically populated based on the contents of requirements.yaml.
• When using setup.py: The install_requires field in setup.py will be automatically populated, reflecting the dependencies defined in requirements.yaml.

Here's an example pyproject.toml configuration:

[build-system]
build-backend = "setuptools.build_meta"
requires = ["setuptools", "unidep"]

[project]
dynamic = ["dependencies"]

In this configuration, unidep is included as a build requirement, allowing it to process the Python dependencies in the requirements.yaml file and update the project's dependencies accordingly.

:memo: As a CLI

See example for more information or check the output of unidep -h for the available sub commands:

usage: unidep [-h]
              {merge,install,install-all,conda-lock,pip,conda,version} ...

Unified Conda and Pip requirements management.

positional arguments:
  {merge,install,install-all,conda-lock,pip,conda,version}
                        Subcommands
    merge               Combine multiple (or a single) `requirements.yaml`
                        files into a single Conda installable
                        `environment.yaml` file.
    install             Automatically install all dependencies from one or
                        more `requirements.yaml` files. This command first
                        installs dependencies with Conda, then with Pip.
                        Finally, it installs local packages (those containing
                        the `requirements.yaml` files) using `pip install [-e]
                        ./project`.
    install-all         Install dependencies from all `requirements.yaml`
                        files found in the current directory or specified
                        directory. This command first installs dependencies
                        using Conda, then Pip, and finally the local packages.
    conda-lock          Generate a global `conda-lock.yml` file for a
                        collection of `requirements.yaml` files. Additionally,
                        create individual `conda-lock.yml` files for each
                        `requirements.yaml` file consistent with the global
                        lock file.
    pip                 Get the pip requirements for the current platform
                        only.
    conda               Get the conda requirements for the current platform
                        only.
    version             Print version information of unidep.

options:
  -h, --help            show this help message and exit

unidep merge

Use unidep merge to scan directories for requirements.yaml file(s) and combine them into an environment.yaml file. See unidep merge -h for more information:

usage: unidep merge [-h] [-o OUTPUT] [-n NAME] [--stdout]
                    [--selector {sel,comment}] [-d DIRECTORY] [-v]
                    [--platform {linux-64,linux-aarch64,linux-ppc64le,osx-64,osx-arm64,win-64}]
                    [--depth DEPTH] [--skip-dependency SKIP_DEPENDENCY]
                    [--ignore-pin IGNORE_PIN]

Combine multiple (or a single) `requirements.yaml` files into a single Conda
installable `environment.yaml` file. Example usage: `unidep merge --directory
. --depth 1 --output environment.yaml` to search for `requirements.yaml` files
in the current directory and its subdirectories and create `environment.yaml`.
These are the defaults, so you can also just run `unidep merge`.

options:
  -h, --help            show this help message and exit
  -o OUTPUT, --output OUTPUT
                        Output file for the conda environment, by default
                        `environment.yaml`
  -n NAME, --name NAME  Name of the conda environment, by default `myenv`
  --stdout              Output to stdout instead of a file
  --selector {sel,comment}
                        The selector to use for the environment markers, if
                        `sel` then `- numpy # [linux]` becomes `sel(linux):
                        numpy`, if `comment` then it remains `- numpy #
                        [linux]`, by default `sel`
  -d DIRECTORY, --directory DIRECTORY
                        Base directory to scan for `requirements.yaml`
                        file(s), by default `.`
  -v, --verbose         Print verbose output
  --platform {linux-64,linux-aarch64,linux-ppc64le,osx-64,osx-arm64,win-64}, -p {linux-64,linux-aarch64,linux-ppc64le,osx-64,osx-arm64,win-64}
                        The platform(s) to get the requirements for. Multiple
                        platforms can be specified. By default, the current
                        platform (`linux-64`) is used.
  --depth DEPTH         Maximum depth to scan for `requirements.yaml` files,
                        by default 1
  --skip-dependency SKIP_DEPENDENCY
                        Skip installing a specific dependency, that is in one
                        of the `requirements.yaml` files. This option can be
                        used multiple times, each time specifying a different
                        package to skip to skip multiple packages. For
                        example, use `--skip-dependency pandas` to skip
                        installing pandas.
  --ignore-pin IGNORE_PIN
                        Ignore the version pin for a specific package, e.g.,
                        `--ignore-pin numpy`. This option can be repeated to
                        ignore multiple packages.

unidep install

Use unidep install on one or more requirements.yaml files and install the dependencies on the current platform using conda, then install the remaining dependencies with pip, and finally install the current package with pip install [-e] .. See unidep install -h for more information:

usage: unidep install [-h] [-v] [-e] [--skip-local] [--skip-pip]
                      [--skip-conda] [--skip-dependency SKIP_DEPENDENCY]
                      [--no-dependencies]
                      [--conda-executable {conda,mamba,micromamba}]
                      [--dry-run] [--ignore-pin IGNORE_PIN]
                      files [files ...]

Automatically install all dependencies from one or more `requirements.yaml`
files. This command first installs dependencies with Conda, then with Pip.
Finally, it installs local packages (those containing the `requirements.yaml`
files) using `pip install [-e] ./project`. Example usage: `unidep install
requirements.yaml` for a single file. For multiple files or folders: `unidep
install ./project1 ./project2`. The command accepts both file paths and
directories containing a `requirements.yaml` file. Use `--editable` or `-e` to
install the local packages in editable mode. See `unidep install-all` to
install all `requirements.yaml` in the current folder.

positional arguments:
  files                 The `requirements.yaml` file(s) to parse or folder(s)
                        that contain those file(s), by default `.`

options:
  -h, --help            show this help message and exit
  -v, --verbose         Print verbose output
  -e, --editable        Install the project in editable mode
  --skip-local          Skip installing local dependencies
  --skip-pip            Skip installing pip dependencies from
                        `requirements.yaml`
  --skip-conda          Skip installing conda dependencies from
                        `requirements.yaml`
  --skip-dependency SKIP_DEPENDENCY
                        Skip installing a specific dependency, that is in one
                        of the `requirements.yaml` files. This option can be
                        used multiple times, each time specifying a different
                        package to skip to skip multiple packages. For
                        example, use `--skip-dependency pandas` to skip
                        installing pandas.
  --no-dependencies     Skip installing dependencies from `requirements.yaml`
                        file(s) and only install local package(s). This passes
                        the `--no-dependencies` flag to `pip install`. Useful
                        after installing a `conda-lock.yml` file because then
                        all dependencies have already been installed.
  --conda-executable {conda,mamba,micromamba}
                        The conda executable to use
  --dry-run, --dry      Only print the commands that would be run
  --ignore-pin IGNORE_PIN
                        Ignore the version pin for a specific package, e.g.,
                        `--ignore-pin numpy`. This option can be repeated to
                        ignore multiple packages.

unidep install-all

Use unidep install-all on a folder with packages that contain requirements.yaml files and install the dependencies on the current platform using conda, then install the remaining dependencies with pip, and finally install the current package with pip install [-e] ./package1 ./package2. See unidep install -h for more information:

usage: unidep install [-h] [-v] [-e] [--skip-local] [--skip-pip]
                      [--skip-conda] [--skip-dependency SKIP_DEPENDENCY]
                      [--no-dependencies]
                      [--conda-executable {conda,mamba,micromamba}]
                      [--dry-run] [--ignore-pin IGNORE_PIN]
                      files [files ...]

Automatically install all dependencies from one or more `requirements.yaml`
files. This command first installs dependencies with Conda, then with Pip.
Finally, it installs local packages (those containing the `requirements.yaml`
files) using `pip install [-e] ./project`. Example usage: `unidep install
requirements.yaml` for a single file. For multiple files or folders: `unidep
install ./project1 ./project2`. The command accepts both file paths and
directories containing a `requirements.yaml` file. Use `--editable` or `-e` to
install the local packages in editable mode. See `unidep install-all` to
install all `requirements.yaml` in the current folder.

positional arguments:
  files                 The `requirements.yaml` file(s) to parse or folder(s)
                        that contain those file(s), by default `.`

options:
  -h, --help            show this help message and exit
  -v, --verbose         Print verbose output
  -e, --editable        Install the project in editable mode
  --skip-local          Skip installing local dependencies
  --skip-pip            Skip installing pip dependencies from
                        `requirements.yaml`
  --skip-conda          Skip installing conda dependencies from
                        `requirements.yaml`
  --skip-dependency SKIP_DEPENDENCY
                        Skip installing a specific dependency, that is in one
                        of the `requirements.yaml` files. This option can be
                        used multiple times, each time specifying a different
                        package to skip to skip multiple packages. For
                        example, use `--skip-dependency pandas` to skip
                        installing pandas.
  --no-dependencies     Skip installing dependencies from `requirements.yaml`
                        file(s) and only install local package(s). This passes
                        the `--no-dependencies` flag to `pip install`. Useful
                        after installing a `conda-lock.yml` file because then
                        all dependencies have already been installed.
  --conda-executable {conda,mamba,micromamba}
                        The conda executable to use
  --dry-run, --dry      Only print the commands that would be run
  --ignore-pin IGNORE_PIN
                        Ignore the version pin for a specific package, e.g.,
                        `--ignore-pin numpy`. This option can be repeated to
                        ignore multiple packages.

unidep conda-lock

Use unidep conda-lock on one or multiple requirements.yaml files and output the conda-lock file. Optionally, when using a monorepo with multiple subpackages (with their own requirements.yaml files), generate a lock file for each subpackage. See unidep conda -h for more information:

usage: unidep conda-lock [-h] [--only-global] [--check-input-hash]
                         [-d DIRECTORY] [-v]
                         [--platform {linux-64,linux-aarch64,linux-ppc64le,osx-64,osx-arm64,win-64}]
                         [--depth DEPTH] [--skip-dependency SKIP_DEPENDENCY]
                         [--ignore-pin IGNORE_PIN]

Generate a global `conda-lock.yml` file for a collection of
`requirements.yaml` files. Additionally, create individual `conda-lock.yml`
files for each `requirements.yaml` file consistent with the global lock file.
Example usage: `unidep conda-lock --directory ./projects` to generate conda-
lock files for all `requirements.yaml` files in the `./projects` directory.
Use `--only-global` to generate only the global lock file. The `--check-input-
hash` option can be used to avoid regenerating lock files if the input hasn't
changed.

options:
  -h, --help            show this help message and exit
  --only-global         Only generate the global lock file
  --check-input-hash    Check existing input hashes in lockfiles before
                        regenerating lock files. This flag is directly passed
                        to `conda-lock`.
  -d DIRECTORY, --directory DIRECTORY
                        Base directory to scan for `requirements.yaml`
                        file(s), by default `.`
  -v, --verbose         Print verbose output
  --platform {linux-64,linux-aarch64,linux-ppc64le,osx-64,osx-arm64,win-64}, -p {linux-64,linux-aarch64,linux-ppc64le,osx-64,osx-arm64,win-64}
                        The platform(s) to get the requirements for. Multiple
                        platforms can be specified. By default, the current
                        platform (`linux-64`) is used.
  --depth DEPTH         Maximum depth to scan for `requirements.yaml` files,
                        by default 1
  --skip-dependency SKIP_DEPENDENCY
                        Skip installing a specific dependency, that is in one
                        of the `requirements.yaml` files. This option can be
                        used multiple times, each time specifying a different
                        package to skip to skip multiple packages. For
                        example, use `--skip-dependency pandas` to skip
                        installing pandas.
  --ignore-pin IGNORE_PIN
                        Ignore the version pin for a specific package, e.g.,
                        `--ignore-pin numpy`. This option can be repeated to
                        ignore multiple packages.

unidep pip

Use unidep pip on a requirements.yaml file and output the pip installable dependencies on the current platform (default). See unidep pip -h for more information:

usage: unidep pip [-h] [-f FILE] [-v]
                  [--platform {linux-64,linux-aarch64,linux-ppc64le,osx-64,osx-arm64,win-64}]
                  [--skip-dependency SKIP_DEPENDENCY]
                  [--ignore-pin IGNORE_PIN] [--separator SEPARATOR]

Get the pip requirements for the current platform only. Example usage: `unidep
pip --file folder1 --file folder2/requirements.yaml --seperator ' ' --platform
linux-64` to extract all the pip dependencies specific to the linux-64
platform. Note that the `--file` argument can be used multiple times to
specify multiple `requirements.yaml` files and that --file can also be a
folder that contains a `requirements.yaml` file.

options:
  -h, --help            show this help message and exit
  -f FILE, --file FILE  The `requirements.yaml` file to parse or folder that
                        contains that file, by default `requirements.yaml`
  -v, --verbose         Print verbose output
  --platform {linux-64,linux-aarch64,linux-ppc64le,osx-64,osx-arm64,win-64}, -p {linux-64,linux-aarch64,linux-ppc64le,osx-64,osx-arm64,win-64}
                        The platform(s) to get the requirements for. Multiple
                        platforms can be specified. By default, the current
                        platform (`linux-64`) is used.
  --skip-dependency SKIP_DEPENDENCY
                        Skip installing a specific dependency, that is in one
                        of the `requirements.yaml` files. This option can be
                        used multiple times, each time specifying a different
                        package to skip to skip multiple packages. For
                        example, use `--skip-dependency pandas` to skip
                        installing pandas.
  --ignore-pin IGNORE_PIN
                        Ignore the version pin for a specific package, e.g.,
                        `--ignore-pin numpy`. This option can be repeated to
                        ignore multiple packages.
  --separator SEPARATOR
                        The separator between the dependencies, by default ` `

unidep conda

Use unidep conda on a requirements.yaml file and output the conda installable dependencies on the current platform (default). See unidep conda -h for more information:

usage: unidep conda [-h] [-f FILE] [-v]
                    [--platform {linux-64,linux-aarch64,linux-ppc64le,osx-64,osx-arm64,win-64}]
                    [--skip-dependency SKIP_DEPENDENCY]
                    [--ignore-pin IGNORE_PIN] [--separator SEPARATOR]

Get the conda requirements for the current platform only. Example usage:
`unidep conda --file folder1 --file folder2/requirements.yaml --seperator ' '
--platform linux-64` to extract all the conda dependencies specific to the
linux-64 platform. Note that the `--file` argument can be used multiple times
to specify multiple `requirements.yaml` files and that --file can also be a
folder that contains a `requirements.yaml` file.

options:
  -h, --help            show this help message and exit
  -f FILE, --file FILE  The `requirements.yaml` file to parse or folder that
                        contains that file, by default `requirements.yaml`
  -v, --verbose         Print verbose output
  --platform {linux-64,linux-aarch64,linux-ppc64le,osx-64,osx-arm64,win-64}, -p {linux-64,linux-aarch64,linux-ppc64le,osx-64,osx-arm64,win-64}
                        The platform(s) to get the requirements for. Multiple
                        platforms can be specified. By default, the current
                        platform (`linux-64`) is used.
  --skip-dependency SKIP_DEPENDENCY
                        Skip installing a specific dependency, that is in one
                        of the `requirements.yaml` files. This option can be
                        used multiple times, each time specifying a different
                        package to skip to skip multiple packages. For
                        example, use `--skip-dependency pandas` to skip
                        installing pandas.
  --ignore-pin IGNORE_PIN
                        Ignore the version pin for a specific package, e.g.,
                        `--ignore-pin numpy`. This option can be repeated to
                        ignore multiple packages.
  --separator SEPARATOR
                        The separator between the dependencies, by default ` `

Limitations

• Conda-Focused: Best suited for Conda environments.

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