mirror of
https://github.com/acamarata/pray-calc-ml.git
synced 2026-07-01 19:34:26 +00:00
6e0f4a679c
Replaces the original JS calibration library with a pure Python pipeline for collecting and back-calculating solar depression angles from human-verified Fajr and Isha prayer sightings. What this does: - src/pipeline.py: master pipeline; fetches iCal + manual records, back-calculates angles via PyEphem, applies quality filters, exports two clean CSVs - src/collect/openfajr.py: parses the OpenFajr Birmingham iCal feed (~4,018 records) - src/collect/verified_sightings.py: manually compiled records from peer-reviewed studies (Egypt, Saudi Arabia, Malaysia, Indonesia, UK, USA, Canada, and more) - src/angle_calc.py: PyEphem back-calculation with atmospheric refraction - src/elevation.py: Open-Elevation API batch lookup Datasets generated: - data/processed/fajr_angles.csv: 4,105 confirmed Fajr records, 35 locations, latitude range -37.8 to 53.7 degrees, date range 1985-2026 - data/processed/isha_angles.csv: 43 confirmed Isha records, 20+ locations Also includes: - notebooks/01_exploratory_analysis.ipynb: latitude, TOY, elevation pattern analysis - research/: academic paper summaries (not training data) - data/raw/sources.md: full citation table for all data sources
20 lines
288 B
Text
20 lines
288 B
Text
__pycache__/
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*.py[cod]
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*.egg-info/
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.eggs/
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dist/
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build/
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.venv/
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venv/
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env/
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.env
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*.log
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.DS_Store
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.ipynb_checkpoints/
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.jupyter/
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.claude/
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# Raw scraped/downloaded files — committed only if manually vetted
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data/raw/*.pdf
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# Generated notebook outputs
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data/processed/*.png
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data/processed/*.svg
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