feat: Add interactive map functionality with Leaflet.js
- Implemented interactive map card with expand functionality - Added Leaflet.js integration with OpenStreetMap tiles - Created expandable map modal (80% screen coverage) - Fixed cover image display on community page - Enhanced post detail page with interactive route visualization - Added proper error handling and fallback content - Cleaned up JavaScript structure and removed duplicate code - Updated community index template to use cover images - Added GPX file processing utilities - Fixed indentation error in run.py Map features: - Country-level positioning (Romania default) - Zoom controls and interactive navigation - Test marker with popup functionality - Expandable full-screen view with X button - Clean console logging for debugging - Responsive design with Tailwind CSS styling
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ske087
176
app/utils/gpx_processor.py
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176
app/utils/gpx_processor.py
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"""
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GPX file processing utilities for extracting route statistics
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"""
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import xml.etree.ElementTree as ET
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import math
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import os
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from typing import Dict, Optional, Tuple
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def calculate_distance(lat1: float, lon1: float, lat2: float, lon2: float) -> float:
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"""
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Calculate the great circle distance between two points on the earth (specified in decimal degrees)
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Returns distance in kilometers
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"""
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# Convert decimal degrees to radians
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lat1, lon1, lat2, lon2 = map(math.radians, [lat1, lon1, lat2, lon2])
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# Haversine formula
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dlat = lat2 - lat1
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dlon = lon2 - lon1
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a = math.sin(dlat/2)**2 + math.cos(lat1) * math.cos(lat2) * math.sin(dlon/2)**2
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c = 2 * math.asin(math.sqrt(a))
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# Radius of earth in kilometers
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r = 6371
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return c * r
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def extract_gpx_statistics(file_path: str) -> Optional[Dict]:
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"""
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Extract statistics from a GPX file
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Returns:
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Dictionary with keys: total_distance, elevation_gain, max_elevation,
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min_elevation, total_points, or None if file cannot be processed
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"""
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if not os.path.exists(file_path):
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return None
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try:
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# Parse GPX file
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tree = ET.parse(file_path)
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root = tree.getroot()
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# Handle GPX namespace
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namespace = {'gpx': 'http://www.topografix.com/GPX/1/1'}
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if not root.tag.endswith('gpx'):
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# Try without namespace
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namespace = {}
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# Find track points
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track_points = []
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# Look for track points in tracks
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tracks = root.findall('.//gpx:trk', namespace) if namespace else root.findall('.//trk')
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for track in tracks:
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segments = track.findall('.//gpx:trkseg', namespace) if namespace else track.findall('.//trkseg')
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for segment in segments:
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points = segment.findall('.//gpx:trkpt', namespace) if namespace else segment.findall('.//trkpt')
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for point in points:
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lat = float(point.get('lat'))
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lon = float(point.get('lon'))
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# Get elevation if available
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ele_elem = point.find('gpx:ele', namespace) if namespace else point.find('ele')
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elevation = float(ele_elem.text) if ele_elem is not None and ele_elem.text else 0.0
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track_points.append({
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'lat': lat,
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'lon': lon,
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'elevation': elevation
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})
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# Also look for waypoints if no track points found
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if not track_points:
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waypoints = root.findall('.//gpx:wpt', namespace) if namespace else root.findall('.//wpt')
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for point in waypoints:
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lat = float(point.get('lat'))
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lon = float(point.get('lon'))
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ele_elem = point.find('gpx:ele', namespace) if namespace else point.find('ele')
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elevation = float(ele_elem.text) if ele_elem is not None and ele_elem.text else 0.0
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track_points.append({
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'lat': lat,
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'lon': lon,
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'elevation': elevation
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})
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if not track_points:
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return {
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'total_distance': 0.0,
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'elevation_gain': 0.0,
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'max_elevation': 0.0,
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'min_elevation': 0.0,
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'total_points': 0
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}
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# Calculate statistics
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total_distance = 0.0
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elevation_gain = 0.0
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elevations = [point['elevation'] for point in track_points if point['elevation'] > 0]
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# Calculate distance and elevation gain
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for i in range(1, len(track_points)):
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current = track_points[i]
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previous = track_points[i-1]
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# Distance
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distance = calculate_distance(
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previous['lat'], previous['lon'],
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current['lat'], current['lon']
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)
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total_distance += distance
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# Elevation gain (only uphill)
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if current['elevation'] > 0 and previous['elevation'] > 0:
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elevation_diff = current['elevation'] - previous['elevation']
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if elevation_diff > 0:
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elevation_gain += elevation_diff
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# Elevation statistics
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max_elevation = max(elevations) if elevations else 0.0
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min_elevation = min(elevations) if elevations else 0.0
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return {
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'total_distance': round(total_distance, 2),
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'elevation_gain': round(elevation_gain, 1),
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'max_elevation': round(max_elevation, 1),
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'min_elevation': round(min_elevation, 1),
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'total_points': len(track_points)
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}
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except Exception as e:
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print(f"Error processing GPX file {file_path}: {e}")
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return None
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def process_gpx_file(gpx_file_record) -> bool:
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"""
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Process a GPXFile record and update its statistics
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Args:
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gpx_file_record: GPXFile model instance
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Returns:
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True if processing was successful, False otherwise
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"""
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from flask import current_app
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# Build file path
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if gpx_file_record.post.media_folder:
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file_path = os.path.join(
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current_app.root_path, 'static', 'media', 'posts',
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gpx_file_record.post.media_folder, 'gpx', gpx_file_record.filename
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)
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else:
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file_path = os.path.join(
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current_app.root_path, 'static', 'uploads', 'gpx', gpx_file_record.filename
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)
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# Extract statistics
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stats = extract_gpx_statistics(file_path)
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if stats is None:
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return False
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# Update the record
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gpx_file_record.total_distance = stats['total_distance']
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gpx_file_record.elevation_gain = stats['elevation_gain']
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gpx_file_record.max_elevation = stats['max_elevation']
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gpx_file_record.min_elevation = stats['min_elevation']
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gpx_file_record.total_points = stats['total_points']
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return True
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