https://github.com/willf/scrape-fws-servcat
https://github.com/willf/scrape-fws-servcat
Last synced: 12 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/willf/scrape-fws-servcat
- Owner: willf
- License: mit
- Created: 2025-03-06T07:27:41.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-06T08:03:16.000Z (over 1 year ago)
- Last Synced: 2025-03-06T09:26:00.507Z (over 1 year ago)
- Language: Python
- Size: 6.91 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Awesome Lists containing this project
README
# scrape-fws-servcat
[](https://github.com/willf/scrape-fws-servcat/actions/workflows/main.yml?query=branch%3Amain)
[](https://img.shields.io/github/license/willf/scrape-fws-servcat)
Access US Fish and Wildlife Serices ServCat
- **Github repository**:
- **Documentation**
## Getting started with your project
### 1. Create a New Repository
First, create a repository on GitHub with the same name as this project, and then run the following commands:
```bash
git init -b main
git add .
git commit -m "init commit"
git remote add origin git@github.com:willf/scrape-fws-servcat.git
git push -u origin main
```
### 2. Set Up Your Development Environment
Then, install the environment and the pre-commit hooks with
```bash
make install
```
This will also generate your `uv.lock` file
### 3. Run the pre-commit hooks
Initially, the CI/CD pipeline might be failing due to formatting issues. To resolve those run:
```bash
uv run pre-commit run -a
```
### 4. Commit the changes
Lastly, commit the changes made by the two steps above to your repository.
```bash
git add .
git commit -m 'Fix formatting issues'
git push origin main
```
You are now ready to start development on your project!
The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.
To finalize the set-up for publishing to PyPI, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/publishing/#set-up-for-pypi).
For activating the automatic documentation with MkDocs, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/mkdocs/#enabling-the-documentation-on-github).
To enable the code coverage reports, see [here](https://fpgmaas.github.io/cookiecutter-uv/features/codecov/).
## Releasing a new version
---
Repository initiated with [fpgmaas/cookiecutter-uv](https://github.com/fpgmaas/cookiecutter-uv).