Bernt
aee0f09db8
- Datafabrik: Dockerfile fix, agentorkestrering fungerar - Vision: Identify-modell, FAISS, OCR alla testade - API: Alla 7 integrationstester passerade - Upplösare: Entitetsupplösning verifierad
83 lines
2.5 KiB
Python
83 lines
2.5 KiB
Python
#!/usr/bin/env python3
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"""
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Hämta väderdata från SMHI
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"""
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import requests
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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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def fetch_temperature(station_id="97530"):
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"""Hämta temperatur från SMHI"""
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url = f"https://opendata-download-metobs.smhi.se/api/version/latest/parameter/1/station/{station_id}/period/latest-hour/data.json"
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try:
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response = requests.get(url, timeout=30)
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if response.status_code == 200:
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data = response.json()
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values = data.get("value", [])
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if values:
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latest = values[-1]
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return {
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"station": data["station"]["name"],
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"temperature": float(latest["value"]),
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"timestamp": latest["date"]
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}
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except Exception as e:
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print(f"Fel: {e}")
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return None
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def fetch_precipitation(station_id="97530"):
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"""Hämta nederbörd från SMHI"""
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url = f"https://opendata-download-metobs.smhi.se/api/version/latest/parameter/7/station/{station_id}/period/latest-day/data.json"
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try:
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response = requests.get(url, timeout=30)
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if response.status_code == 200:
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data = response.json()
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values = data.get("value", [])
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if values:
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total = sum(float(v["value"]) for v in values if float(v["value"]) >= 0)
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return {
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"station": data["station"]["name"],
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"precipitation_mm": total
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}
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except Exception as e:
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print(f"Fel: {e}")
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return None
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def save_weather_observation(road_id, weather_type, value, severity, source="smhi_real"):
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"""Spara väderobservation"""
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conn = sqlite3.connect(DB_PATH)
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c = conn.cursor()
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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, detected_date, source)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?)
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''', (
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road_id,
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weather_type,
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59.85, # Uppsala lat
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17.65, # Uppsala lon
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0.95,
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severity,
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datetime.now().strftime('%Y-%m-%d'),
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source
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))
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conn.commit()
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conn.close()
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if __name__ == "__main__":
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temp = fetch_temperature()
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precip = fetch_precipitation()
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if temp:
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print(f"Temperatur: {temp['temperature']}°C")
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if precip:
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print(f"Nederbörd: {precip['precipitation_mm']}mm")
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