A library for quickly retriving files and directories from GitHub reposities by utilizing git's sparse checkout feature.
Project description
GitHub Fast Downloader
github-fast-downloader is a python library for quickly retriving files and directories from GitHub reposities by utilizing git's sparse checkout feature.
Installation
pip install github-fast-downloader
or
uv add github-fast-downloader
Usage
Basic Usage of GithubFastDownloader
This example demonstrates how to use GithubFastDownloader to clone a GitHub repository, perform sparse checkouts of specific directories, and verify the existence of files and directories after checkouts.
from github_fast_downloader import GithubFastDownloader
# Initialize the GithubFastDownloader with repository information
gfd = GithubFastDownloader("vtr-verilog-to-routing", "verilog-to-routing")
# Clone the repository (will be empty at first)
gfd.clone_repo()
# Enable sparse checkout to selectively fetch directories
gfd.enable_sparse_checkout()
# Checkout the "fpu" directory and verify its existence
gfd.checkout_stuff(["vtr_flow/benchmarks/fpu"], reset=False)
assert (gfd.repo_dir / "vtr_flow" / "benchmarks" / "fpu").exists()
# Checkout additional directories and files
gfd.checkout_stuff([
"vtr_flow/benchmarks/blif",
"vtr_flow/benchmarks/vexriscv/VexRiscvSmallest.v"
], reset=False)
# Verify the existence of the newly checked out directories and files
assert (gfd.repo_dir / "vtr_flow" / "benchmarks" / "blif").exists()
assert (gfd.repo_dir / "vtr_flow" / "benchmarks" / "fpu").exists()
assert (gfd.repo_dir / "vtr_flow" / "benchmarks" / "vexriscv" / "VexRiscvSmallest.v").exists()
# Reset sparse checkout list
gfd.reset_sparse_checkout_list()
# Checkout only the "fpu" directory again and verify
gfd.checkout_stuff(["vtr_flow/benchmarks/fpu"], reset=False)
assert (gfd.repo_dir / "vtr_flow" / "benchmarks" / "fpu").exists()
# Ensure other directories were removed from checkout
assert not (gfd.repo_dir / "vtr_flow" / "benchmarks" / "blif").exists()
assert not (gfd.repo_dir / "vtr_flow" / "benchmarks" / "vexriscv" / "VexRiscvSmallest.v").exists()
# Reset sparse checkout list and clear checkout, by default reset=True for checkout_stuff
# This means that the sparse checkout list will cleared before checking out the new list
# The previous items on the sparse checkout list will also be removed from disk when cleared from the list
gfd.reset_sparse_checkout_list()
gfd.checkout_stuff([])
# Verify only the ".git" directory exists
stuff_in_dir = list(gfd.repo_dir.iterdir())
assert len(stuff_in_dir) == 1
assert stuff_in_dir[0].name == ".git"
# Cleanup resources after usage
gfd.cleanup()
Using GithubFastDownloader as a Context Manager
This example demonstrates how to use GithubFastDownloader as a context manager. This allows the downloader to automatically handle resource cleanup when the context is exited.
from github_fast_downloader import GithubFastDownloader
# Use the context manager to handle setup and cleanup automatically
with GithubFastDownloader("vtr-verilog-to-routing", "verilog-to-routing") as gfd:
# Checkout the "fpu" directory and verify its existence
gfd.checkout_stuff(["vtr_flow/benchmarks/fpu"])
assert (gfd.repo_dir / "vtr_flow" / "benchmarks" / "fpu").exists()
# Checkout additional directories and files
gfd.checkout_stuff([
"vtr_flow/benchmarks/blif",
"vtr_flow/benchmarks/vexriscv/VexRiscvSmallest.v"
], reset=False)
# Verify the existence of the newly checked out directories and files
assert (gfd.repo_dir / "vtr_flow" / "benchmarks" / "blif").exists()
assert (gfd.repo_dir / "vtr_flow" / "benchmarks" / "fpu").exists()
assert (gfd.repo_dir / "vtr_flow" / "benchmarks" / "vexriscv" / "VexRiscvSmallest.v").exists()
# Reset sparse checkout list and clear checkout
gfd.reset_sparse_checkout_list()
gfd.checkout_stuff([])
# Verify only the ".git" directory exists
stuff_in_dir = list(gfd.repo_dir.iterdir())
assert len(stuff_in_dir) == 1
assert stuff_in_dir[0].name == ".git"
Dev and Testing
If you would like to contribute to the development of this library, you can clone the repository and install the development dependencies.
I have included two simple tests under tests/, which are just the two examples above. You can run the tests using the following command:
pytest
or
uv run pytest
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