2025-08-12 18:17:30 +02:00
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# shared/clients/external_client.py
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"""
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External Service Client
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Handles all API calls to the external service (weather and traffic data)
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"""
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import httpx
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import structlog
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from typing import Dict, Any, Optional, List
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from .base_service_client import BaseServiceClient
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from shared.config.base import BaseServiceSettings
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logger = structlog.get_logger()
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class ExternalServiceClient(BaseServiceClient):
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"""Client for communicating with the external service"""
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def __init__(self, config: BaseServiceSettings, calling_service_name: str = "unknown"):
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super().__init__(calling_service_name, config)
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self.service_url = config.EXTERNAL_SERVICE_URL
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def get_service_base_path(self) -> str:
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return "/api/v1"
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# ================================================================
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# WEATHER DATA
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# ================================================================
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async def get_weather_historical(
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self,
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tenant_id: str,
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start_date: str,
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end_date: str,
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latitude: Optional[float] = None,
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longitude: Optional[float] = None
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) -> Optional[List[Dict[str, Any]]]:
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"""
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2025-10-09 14:11:02 +02:00
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Get historical weather data using NEW v2.0 optimized city-based endpoint
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This uses pre-loaded data from the database with Redis caching for <100ms response times
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2025-08-12 18:17:30 +02:00
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"""
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2025-10-09 14:11:02 +02:00
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# Prepare query parameters
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params = {
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2025-08-12 18:17:30 +02:00
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"latitude": latitude or 40.4168, # Default Madrid coordinates
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2025-10-09 14:11:02 +02:00
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"longitude": longitude or -3.7038,
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"start_date": start_date, # ISO format datetime
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"end_date": end_date # ISO format datetime
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2025-08-12 18:17:30 +02:00
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}
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2025-10-09 14:11:02 +02:00
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logger.info(f"Weather request (v2.0 optimized): {params}", tenant_id=tenant_id)
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# Use GET request to new optimized endpoint with short timeout (data is cached)
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2025-08-12 18:17:30 +02:00
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result = await self._make_request(
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2025-10-09 14:11:02 +02:00
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"GET",
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"external/operations/historical-weather-optimized",
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2025-08-12 18:17:30 +02:00
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tenant_id=tenant_id,
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2025-10-09 14:11:02 +02:00
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params=params,
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timeout=10.0 # Much shorter - data is pre-loaded and cached
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2025-08-12 18:17:30 +02:00
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)
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2025-10-09 14:11:02 +02:00
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2025-08-12 18:17:30 +02:00
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if result:
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2025-10-09 14:11:02 +02:00
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logger.info(f"Successfully fetched {len(result)} weather records from v2.0 endpoint")
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2025-08-12 18:17:30 +02:00
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return result
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else:
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2025-10-09 14:11:02 +02:00
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logger.warning("No weather data returned from v2.0 endpoint")
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2025-08-12 18:17:30 +02:00
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return []
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2025-10-09 14:11:02 +02:00
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async def get_current_weather(
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self,
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tenant_id: str,
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latitude: Optional[float] = None,
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longitude: Optional[float] = None
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) -> Optional[Dict[str, Any]]:
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"""
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Get current weather for a location (real-time data)
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Uses new v2.0 endpoint
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"""
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params = {
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"latitude": latitude or 40.4168,
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"longitude": longitude or -3.7038
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}
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logger.info(f"Current weather request (v2.0): {params}", tenant_id=tenant_id)
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result = await self._make_request(
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"GET",
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"external/operations/weather/current",
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tenant_id=tenant_id,
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params=params,
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timeout=10.0
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)
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if result:
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logger.info("Successfully fetched current weather")
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return result
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else:
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logger.warning("No current weather data available")
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return None
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2025-08-12 18:17:30 +02:00
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async def get_weather_forecast(
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self,
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tenant_id: str,
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2025-10-09 14:11:02 +02:00
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days: int = 7,
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2025-08-12 18:17:30 +02:00
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latitude: Optional[float] = None,
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longitude: Optional[float] = None
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) -> Optional[List[Dict[str, Any]]]:
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"""
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2025-10-09 14:11:02 +02:00
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Get weather forecast for location (from AEMET)
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Uses new v2.0 endpoint
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2025-08-12 18:17:30 +02:00
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"""
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2025-10-09 14:11:02 +02:00
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params = {
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"latitude": latitude or 40.4168,
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2025-08-12 18:17:30 +02:00
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"longitude": longitude or -3.7038,
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"days": days
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}
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2025-10-09 14:11:02 +02:00
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logger.info(f"Weather forecast request (v2.0): {params}", tenant_id=tenant_id)
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2025-08-12 18:17:30 +02:00
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result = await self._make_request(
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2025-10-09 14:11:02 +02:00
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"GET",
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"external/operations/weather/forecast",
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2025-08-12 18:17:30 +02:00
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tenant_id=tenant_id,
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2025-10-09 14:11:02 +02:00
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params=params,
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timeout=10.0
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2025-08-12 18:17:30 +02:00
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)
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2025-10-09 14:11:02 +02:00
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2025-08-12 18:17:30 +02:00
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if result:
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logger.info(f"Successfully fetched weather forecast for {days} days")
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return result
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else:
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2025-10-09 14:11:02 +02:00
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logger.warning("No forecast data available")
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2025-08-12 18:17:30 +02:00
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return []
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2025-10-09 14:11:02 +02:00
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2025-08-12 18:17:30 +02:00
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# ================================================================
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# TRAFFIC DATA
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# ================================================================
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async def get_traffic_data(
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self,
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tenant_id: str,
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start_date: str,
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end_date: str,
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latitude: Optional[float] = None,
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longitude: Optional[float] = None
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) -> Optional[List[Dict[str, Any]]]:
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"""
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2025-10-09 14:11:02 +02:00
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Get historical traffic data using NEW v2.0 optimized city-based endpoint
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This uses pre-loaded data from the database with Redis caching for <100ms response times
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2025-08-12 18:17:30 +02:00
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"""
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2025-10-09 14:11:02 +02:00
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# Prepare query parameters
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params = {
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2025-08-12 18:17:30 +02:00
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"latitude": latitude or 40.4168, # Default Madrid coordinates
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2025-10-09 14:11:02 +02:00
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"longitude": longitude or -3.7038,
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"start_date": start_date, # ISO format datetime
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"end_date": end_date # ISO format datetime
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2025-08-12 18:17:30 +02:00
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}
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2025-10-09 14:11:02 +02:00
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logger.info(f"Traffic request (v2.0 optimized): {params}", tenant_id=tenant_id)
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# Use GET request to new optimized endpoint with short timeout (data is cached)
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2025-08-12 18:17:30 +02:00
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result = await self._make_request(
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2025-10-09 14:11:02 +02:00
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"GET",
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"external/operations/historical-traffic-optimized",
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2025-08-12 18:17:30 +02:00
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tenant_id=tenant_id,
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2025-10-09 14:11:02 +02:00
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params=params,
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timeout=10.0 # Much shorter - data is pre-loaded and cached
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2025-08-12 18:17:30 +02:00
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)
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2025-10-09 14:11:02 +02:00
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2025-08-12 18:17:30 +02:00
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if result:
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2025-10-09 14:11:02 +02:00
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logger.info(f"Successfully fetched {len(result)} traffic records from v2.0 endpoint")
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2025-08-12 18:17:30 +02:00
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return result
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else:
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2025-10-09 14:11:02 +02:00
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logger.warning("No traffic data returned from v2.0 endpoint")
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return []
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2025-08-12 18:17:30 +02:00
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async def get_stored_traffic_data_for_training(
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self,
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tenant_id: str,
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start_date: str,
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end_date: str,
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latitude: Optional[float] = None,
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longitude: Optional[float] = None
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) -> Optional[List[Dict[str, Any]]]:
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"""
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2025-10-09 14:11:02 +02:00
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Get stored traffic data for model training/re-training
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In v2.0, this uses the same optimized endpoint as get_traffic_data
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since all data is pre-loaded and cached
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2025-08-12 18:17:30 +02:00
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"""
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2025-10-09 14:11:02 +02:00
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logger.info("Training traffic data request - delegating to optimized endpoint", tenant_id=tenant_id)
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# Delegate to the same optimized endpoint
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return await self.get_traffic_data(
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tenant_id=tenant_id,
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start_date=start_date,
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end_date=end_date,
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latitude=latitude,
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longitude=longitude
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2025-08-12 18:17:30 +02:00
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)
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2025-10-09 14:11:02 +02:00
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async def get_current_traffic(
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self,
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tenant_id: str,
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latitude: Optional[float] = None,
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longitude: Optional[float] = None
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) -> Optional[Dict[str, Any]]:
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"""
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Get current traffic conditions for a location (real-time data)
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Uses new v2.0 endpoint
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"""
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params = {
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"latitude": latitude or 40.4168,
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"longitude": longitude or -3.7038
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}
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logger.info(f"Current traffic request (v2.0): {params}", tenant_id=tenant_id)
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2025-08-12 18:17:30 +02:00
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result = await self._make_request(
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2025-10-09 14:11:02 +02:00
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"GET",
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"external/operations/traffic/current",
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2025-08-12 18:17:30 +02:00
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tenant_id=tenant_id,
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2025-10-09 14:11:02 +02:00
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params=params,
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timeout=10.0
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2025-08-12 18:17:30 +02:00
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)
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2025-10-09 14:11:02 +02:00
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2025-08-12 18:17:30 +02:00
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if result:
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2025-10-09 14:11:02 +02:00
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logger.info("Successfully fetched current traffic")
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2025-08-12 18:17:30 +02:00
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return result
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else:
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2025-10-09 14:11:02 +02:00
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logger.warning("No current traffic data available")
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2025-08-12 18:17:30 +02:00
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return None
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