mirror of
https://github.com/sstent/AICyclingCoach.git
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62 lines
2.1 KiB
Python
62 lines
2.1 KiB
Python
import os
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import uuid
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import logging
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from fastapi import UploadFile, HTTPException
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import gpxpy
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from backend.app.config import settings
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logger = logging.getLogger(__name__)
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async def store_gpx_file(file: UploadFile) -> str:
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"""Store uploaded GPX file and return path"""
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try:
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file_ext = os.path.splitext(file.filename)[1]
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if file_ext.lower() != '.gpx':
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raise HTTPException(status_code=400, detail="Invalid file type")
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file_name = f"{uuid.uuid4()}{file_ext}"
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file_path = os.path.join(settings.GPX_STORAGE_PATH, file_name)
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# Ensure storage directory exists
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os.makedirs(os.path.dirname(file_path), exist_ok=True)
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# Save file
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with open(file_path, "wb") as f:
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f.write(await file.read())
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return file_path
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except Exception as e:
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logger.error(f"Error storing GPX file: {e}")
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raise HTTPException(status_code=500, detail="Error storing file")
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async def parse_gpx(file_path: str) -> dict:
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"""Parse GPX file and extract key metrics"""
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try:
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with open(file_path, 'r') as f:
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gpx = gpxpy.parse(f)
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total_distance = 0.0
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elevation_gain = 0.0
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points = []
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for track in gpx.tracks:
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for segment in track.segments:
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total_distance += segment.length_3d()
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for i in range(1, len(segment.points)):
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elevation_gain += max(0, segment.points[i].elevation - segment.points[i-1].elevation)
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points = [{
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'lat': point.latitude,
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'lon': point.longitude,
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'ele': point.elevation,
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'time': point.time.isoformat() if point.time else None
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} for point in segment.points]
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return {
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'total_distance': total_distance,
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'elevation_gain': elevation_gain,
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'points': points
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}
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except Exception as e:
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logger.error(f"Error parsing GPX file: {e}")
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raise HTTPException(status_code=500, detail="Error parsing GPX file") |