# animal_data_analysis_tools
Develop the utility tools for animal experiments data analysis for the researchers.
## WA DPIRD Weather Downloader
- Command: `wa_dpird_weather_downloader --help`
- Example: `wa_dpird_weather_downloader --station WN --start 2024-03-19T00:00:00 --end 2024-04-19T00:00:00 --out datasets/WN_2024-03-19_to_2025-04-19.csv --api-key YOUR_API_KEY`
The CLI downloads real data from the WA DPIRD API with retries and resumable CSV output.
### Install locally for development
- Editable install: `pip install -e .`
- Run CLI after install: `wa_dpird_weather_downloader --help`
### Usage
- Run (API key required via flag):
- `wa_dpird_weather_downloader --station WN --start 2024-03-19T00:00:00 --end 2025-08-01T00:00:00 --out datasets/WN_2024-03-19_to_2025-08-01.csv --api-key YOUR_API_KEY`
### Flags
- `--station`: station ID/code (e.g., `WN`, `009225`)
- `--start`, `--end`: date-time `YYYY-MM-DDTHH:MM:SS` (UTC)
- `--out`: output CSV path
- `--api-key` (required): DPIRD API key
- `--limit`: page size (default 200)
### Features
- Retries with exponential backoff for 429 and 5xx
- Resumable downloads: appends pages to CSV and maintains a sidecar checkpoint `<out>.ckpt.json`
- Page-by-page writing to keep memory usage low
### Build & publish to PyPI (summary)
1) Build: `python -m build` (install `build` first)
2) Upload: `twine upload dist/*` (use PyPI API token `__token__`)
See below for detailed steps.
### Detailed PyPI publish steps
1. Create PyPI account and API token (scoped to the project)
2. Install tooling: `pip install build twine`
3. Bump version in `pyproject.toml` under `[project] version`
4. Build artifacts: `python -m build` (creates `dist/*.tar.gz` & `dist/*.whl`)
5. Upload to TestPyPI (optional): `twine upload -r testpypi dist/*`
- Then install to test: `pip install -i https://test.pypi.org/simple/ wa-weather-station-tool`
6. Upload to PyPI: `twine upload dist/*`
- Username: `__token__`, Password: your API token
7. Verify install: `pip install wa-weather-station-tool && wa_dpird_weather_downloader --help`
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"description": "# animal_data_analysis_tools\nDevelop the utility tools for animal experiments data analysis for the researchers.\n\n## WA DPIRD Weather Downloader\n- Command: `wa_dpird_weather_downloader --help`\n- Example: `wa_dpird_weather_downloader --station WN --start 2024-03-19T00:00:00 --end 2024-04-19T00:00:00 --out datasets/WN_2024-03-19_to_2025-04-19.csv --api-key YOUR_API_KEY`\n\nThe CLI downloads real data from the WA DPIRD API with retries and resumable CSV output.\n\n### Install locally for development\n- Editable install: `pip install -e .`\n- Run CLI after install: `wa_dpird_weather_downloader --help`\n\n### Usage\n- Run (API key required via flag):\n - `wa_dpird_weather_downloader --station WN --start 2024-03-19T00:00:00 --end 2025-08-01T00:00:00 --out datasets/WN_2024-03-19_to_2025-08-01.csv --api-key YOUR_API_KEY`\n\n### Flags\n- `--station`: station ID/code (e.g., `WN`, `009225`)\n- `--start`, `--end`: date-time `YYYY-MM-DDTHH:MM:SS` (UTC)\n- `--out`: output CSV path\n- `--api-key` (required): DPIRD API key\n- `--limit`: page size (default 200)\n\n### Features\n- Retries with exponential backoff for 429 and 5xx\n- Resumable downloads: appends pages to CSV and maintains a sidecar checkpoint `<out>.ckpt.json`\n- Page-by-page writing to keep memory usage low\n\n### Build & publish to PyPI (summary)\n1) Build: `python -m build` (install `build` first)\n2) Upload: `twine upload dist/*` (use PyPI API token `__token__`)\nSee below for detailed steps.\n\n### Detailed PyPI publish steps\n1. Create PyPI account and API token (scoped to the project)\n2. Install tooling: `pip install build twine`\n3. Bump version in `pyproject.toml` under `[project] version`\n4. Build artifacts: `python -m build` (creates `dist/*.tar.gz` & `dist/*.whl`)\n5. Upload to TestPyPI (optional): `twine upload -r testpypi dist/*`\n - Then install to test: `pip install -i https://test.pypi.org/simple/ wa-weather-station-tool`\n6. Upload to PyPI: `twine upload dist/*`\n - Username: `__token__`, Password: your API token\n7. Verify install: `pip install wa-weather-station-tool && wa_dpird_weather_downloader --help`\n",
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