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Let me describe this project in a more natural way that captures the complete workflow and dependencies.
Python Project Automation Setup
What We're Trying to Achieve
We want to create a seamless development environment where version management happens automatically through Git operations, using SetupTools SCM to handle versioning. This needs to work smoothly with the uv package manager for daily development and hatch as our build system. The end result should be a project where developers can focus on coding while the versioning and build processes happen reliably in the background.
Core Components and Dependencies
SetupTools SCM for version management
uv for package management and daily development
hatch as the build system
GitHub Actions for automation
Git for version control and tagging
Configuration Files Needed
pyproject.toml needs to be set up with:
SetupTools SCM configuration for version management
hatch build system settings
Project dependencies and development dependencies
Version management settings
GitHub Actions workflow files for:
Automated version bumping
Release management
Build validation
Tag handling
Development Workflow Documentation
The README should walk through the complete workflow:
Initial Setup
How to install the required tools (uv, hatch)
Project clone and initial configuration
Setting up your development environment
Daily Development
Using uv for dependency management
Local build and test procedures
How versioning works during development
Version Management
How to create and push tags
Example of version bumping
Verifying current version
Understanding the version format
Validation Steps
Building the project with specific commands
Checking the current version
Verifying version increments
Testing the build artifacts
Practical Examples Needed
The documentation should include real-world examples:
# Example of creating a new version
git tag -a v0.1.0 -m "Initial release"
git push origin v0.1.0
# Example of checking the current version
uv build .
python -c "import my_package; print(my_package.__version__)"# Example of local development build
uv pip install -e .
Deliverables
Working Configuration
Complete pyproject.toml
GitHub Actions workflow files
Any necessary source code modifications
Comprehensive README
Step-by-step setup instructions
Clear examples with command outputs
Troubleshooting section
Best practices for version management
Validation Process
Test scripts for version checking
Build verification steps
GitHub Actions validation
The goal is to make this as maintainable as possible, with clear documentation that helps both new and experienced developers understand how to work with the project's versioning and build system.
Answer the question how to get it to work with uv e.g "uv pip install --editable ".[dev]"
------------------------- Notes on github actions ---------------------------------------------------------------
uses: actions/checkout@v4
with:
fetch-depth: 0 # Required for git history
fetch-depth: 0 in GitHub Actions tells the checkout action to fetch the complete Git history instead of just the latest commit.
Key impacts:
Gets all commits and tags
Required for setuptools_scm to work
Larger checkout size/time
Enables version calculations
Default (fetch-depth: 1):
Only latest commit
Faster
Smaller
No version history
---------------- first draft of documentation ------------------------------------
NOTE: More details should be added
Versioning and Releases
This project uses setuptools_scm to automatically manage the project version based on Git tags and commit history. This means the version is dynamically generated during installation and build processes.
Understanding Versions
Development Versions: During development, the version will typically look something like 0.1.0.dev1+gabcdef12 or 0.1.0+gabcdef12.dirty. This indicates a version based on a commit after the last tag, and potentially with uncommitted changes (.dirty).
Release Versions: When you create a Git tag (e.g., v1.0.0), setuptools_scm will recognize this tag and produce a clean version like 1.0.0 for releases built from that tag.
Key Command-Line Interactions (Indirectly related to setuptools_scm)
Installing the Package (and Generating the Version):
To install the package (and trigger version generation by setuptools_scm), use pip:
pip install .
Testing Package Version (with uv)
After installing your package using uv, you'll likely want to verify the version that setuptools_scm has generated. uv provides a convenient way to run Python code within its managed environment to check this.
Recommended Method: Using uv run python -c
The most straightforward and recommended way to check the package version after installing with uv is to use the uv run python -c command. This command executes a Python snippet directly within the environment where uv has installed your package, ensuring you're testing the correct version.
To check the version, use the following command in your terminal, replacing your_package_name with the actual name of your Python package:
uv run python -c "import your_package_name; print(your_package_name.__version__)"
The text was updated successfully, but these errors were encountered:
Let me describe this project in a more natural way that captures the complete workflow and dependencies.
Python Project Automation Setup
What We're Trying to Achieve
We want to create a seamless development environment where version management happens automatically through Git operations, using SetupTools SCM to handle versioning. This needs to work smoothly with the uv package manager for daily development and hatch as our build system. The end result should be a project where developers can focus on coding while the versioning and build processes happen reliably in the background.
Core Components and Dependencies
Configuration Files Needed
pyproject.toml
needs to be set up with:GitHub Actions workflow files for:
Development Workflow Documentation
The README should walk through the complete workflow:
Initial Setup
Daily Development
Version Management
Validation Steps
Practical Examples Needed
The documentation should include real-world examples:
Deliverables
Working Configuration
Comprehensive README
Validation Process
The goal is to make this as maintainable as possible, with clear documentation that helps both new and experienced developers understand how to work with the project's versioning and build system.
Answer the question how to get it to work with
uv e.g "uv pip install --editable ".[dev]"
------------------------- Notes on github actions ---------------------------------------------------------------
with:
fetch-depth: 0 # Required for git history
fetch-depth: 0
in GitHub Actions tells the checkout action to fetch the complete Git history instead of just the latest commit.Key impacts:
setuptools_scm
to workDefault (
fetch-depth: 1
):---------------- first draft of documentation ------------------------------------
NOTE: More details should be added
Versioning and Releases
This project uses setuptools_scm to automatically manage the project version based on Git tags and commit history. This means the version is dynamically generated during installation and build processes.
Understanding Versions
0.1.0.dev1+gabcdef12
or0.1.0+gabcdef12.dirty
. This indicates a version based on a commit after the last tag, and potentially with uncommitted changes (.dirty
).v1.0.0
),setuptools_scm
will recognize this tag and produce a clean version like1.0.0
for releases built from that tag.Key Command-Line Interactions (Indirectly related to
setuptools_scm
)Installing the Package (and Generating the Version):
To install the package (and trigger version generation by
setuptools_scm
), usepip
:pip install .
Testing Package Version (with uv)
After installing your package using
uv
, you'll likely want to verify the version thatsetuptools_scm
has generated.uv
provides a convenient way to run Python code within its managed environment to check this.Recommended Method: Using
uv run python -c
The most straightforward and recommended way to check the package version after installing with
uv
is to use theuv run python -c
command. This command executes a Python snippet directly within the environment whereuv
has installed your package, ensuring you're testing the correct version.To check the version, use the following command in your terminal, replacing
your_package_name
with the actual name of your Python package:uv run python -c "import your_package_name; print(your_package_name.__version__)"
The text was updated successfully, but these errors were encountered: