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Improve the dahboard with the weather info 2

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Urtzi Alfaro
2025-08-18 13:53:27 +02:00
parent afca94dadd
commit 0a42fe628c
8 changed files with 164 additions and 61 deletions
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29
services/external/app/external/processors/madrid_processor.py vendored
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@@ -25,9 +25,8 @@ class MadridTrafficDataProcessor:
def __init__(self):
self.logger = structlog.get_logger()
# UTM Zone 30N (Madrid's coordinate system)
self.utm_proj = pyproj.Proj(proj='utm', zone=30, ellps='WGS84', datum='WGS84')
self.wgs84_proj = pyproj.Proj(proj='latlong', ellps='WGS84', datum='WGS84')
# UTM Zone 30N (Madrid's coordinate system) - using modern pyproj API
self.transformer = pyproj.Transformer.from_crs("EPSG:25830", "EPSG:4326", always_xy=True)
def safe_int(self, value: str) -> int:
"""Safely convert string to int"""
@@ -68,8 +67,8 @@ class MadridTrafficDataProcessor:
utm_x_float = float(utm_x.replace(',', '.'))
utm_y_float = float(utm_y.replace(',', '.'))
# Convert from UTM Zone 30N to WGS84
longitude, latitude = pyproj.transform(self.utm_proj, self.wgs84_proj, utm_x_float, utm_y_float)
# Convert from UTM Zone 30N to WGS84 using modern pyproj API
longitude, latitude = self.transformer.transform(utm_x_float, utm_y_float)
# Validate coordinates are in Madrid area
if 40.3 <= latitude <= 40.6 and -3.8 <= longitude <= -3.5:
@@ -455,9 +454,25 @@ class MadridTrafficDataProcessor:
carga = self.safe_int(row.get('carga', '0'))
vmed = self.safe_int(row.get('vmed', '0'))
# Build basic result (business logic will be applied elsewhere)
# Calculate average speed (vmed is in km/h, use it if available)
average_speed = float(vmed) if vmed > 0 else 30.0 # Default speed
# Determine congestion level based on occupation percentage
if ocupacion > 75:
congestion_level = 'high'
elif ocupacion > 40:
congestion_level = 'medium'
else:
congestion_level = 'low'
# Build result with API-compatible fields
result = {
'date': date_obj,
'date': date_obj, # Required API field
'traffic_volume': intensidad, # Required API field
'pedestrian_count': max(1, int(intensidad * 0.1)), # Estimated pedestrian count
'congestion_level': congestion_level, # Required API field
'average_speed': average_speed, # Required API field
'source': 'madrid_historical_csv', # Required API field
'measurement_point_id': measurement_point_id,
'point_data': point_data,
'distance_km': distance_km,