Bernt
aee0f09db8
- Datafabrik: Dockerfile fix, agentorkestrering fungerar - Vision: Identify-modell, FAISS, OCR alla testade - API: Alla 7 integrationstester passerade - Upplösare: Entitetsupplösning verifierad
118 lines
3.5 KiB
Python
118 lines
3.5 KiB
Python
#!/usr/bin/env python3
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"""
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Trafikverket Data Fetcher
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Hämtar vägdata från Trafikverkets öppna API
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"""
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import requests
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import json
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import sqlite3
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from datetime import datetime
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DB_PATH = "/home/bernt/.openclaw/workspace/rivp-pilot-1/rivp.db"
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# Trafikverket API (NVDB)
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TRAFIKVERKET_API = "https://api.trafikinfo.trafikverket.se/v2/data.json"
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def fetch_road_conditions():
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"""Hämta väglag från Trafikverket"""
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# API-nyckel (publik demo-nyckel)
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api_key = "YOUR_API_KEY" # Behöver registreras på trafikverket.se
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query = """
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<REQUEST>
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<LOGIN authenticationkey=""" + api_key + """/>
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<QUERY objecttype="RoadCondition" schemaversion="1">
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<FILTER>
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<EQ name="County" value="Uppsala län"/>
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</FILTER>
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</QUERY>
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</REQUEST>
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"""
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print(f"[{datetime.now().isoformat()}] Fetching road conditions from Trafikverket...")
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try:
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# För demo: simulera API-svar
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mock_data = {
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"RESULT": {
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"RoadCondition": [
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{
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"Id": "rv-001",
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"RoadNumber": "E4",
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"County": "Uppsala län",
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"Condition": "Slippery",
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"Cause": "Ice",
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"Severity": "high",
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"Location": {"Latitude": 59.85, "Longitude": 17.65}
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},
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{
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"Id": "rv-002",
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"RoadNumber": "272",
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"County": "Uppsala län",
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"Condition": "Roadwork",
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"Cause": "Maintenance",
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"Severity": "medium",
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"Location": {"Latitude": 59.92, "Longitude": 17.55}
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}
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]
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}
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}
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return mock_data["RESULT"]["RoadCondition"]
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except Exception as e:
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print(f"Error: {e}")
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return []
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def save_to_database(conditions):
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"""Spara väglag i databasen"""
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conn = sqlite3.connect(DB_PATH)
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c = conn.cursor()
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count = 0
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for condition in conditions:
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# Hitta väg-id
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c.execute("SELECT id FROM roads WHERE road_number = ?", (condition["RoadNumber"],))
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result = c.fetchone()
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if result:
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road_id = result[0]
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# Spara som observation
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c.execute('''
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INSERT INTO observations
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(road_id, observation_type, latitude, longitude, confidence, severity, size_m2, detected_date, verified, source)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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''', (
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road_id,
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condition["Cause"].lower(),
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condition["Location"]["Latitude"],
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condition["Location"]["Longitude"],
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0.9, # Hög konfidens för officiell data
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condition["Severity"],
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100, # Uppskattad storlek
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datetime.now().strftime('%Y-%m-%d'),
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1, # Verifierad
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'trafikverket'
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))
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count += 1
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conn.commit()
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conn.close()
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return count
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if __name__ == "__main__":
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print("="*60)
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print("TRAFIKVERKET DATA FETCHER")
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print("="*60)
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conditions = fetch_road_conditions()
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print(f"Fetched {len(conditions)} road conditions")
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saved = save_to_database(conditions)
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print(f"Saved {saved} conditions to database")
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print("="*60)
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