Bernt
aee0f09db8
- Datafabrik: Dockerfile fix, agentorkestrering fungerar - Vision: Identify-modell, FAISS, OCR alla testade - API: Alla 7 integrationstester passerade - Upplösare: Entitetsupplösning verifierad
33 lines
1.6 KiB
Python
33 lines
1.6 KiB
Python
#!/usr/bin/env python3
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"""
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Dataset Discovery Agent
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Letar kontinuerligt efter nya öppna dataset
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"""
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import json
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import time
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from datetime import datetime
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DATASETS = [
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{"name": "Trafikverket NVDB", "url": "https://nvdb2012.trafikverket.se", "type": "road_network", "status": "discovered"},
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{"name": "Lantmäteriet Fastigheter", "url": "https://www.lantmateriet.se", "type": "property", "status": "discovered"},
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{"name": "SMHI Väder", "url": "https://opendata.smhi.se", "type": "weather", "status": "discovered"},
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{"name": "SCB Befolkning", "url": "https://www.scb.se", "type": "demographics", "status": "discovered"},
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{"name": "Naturvårdsverket", "url": "https://www.naturvardsverket.se", "type": "environment", "status": "discovered"},
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{"name": "Boverket Bygglov", "url": "https://www.boverket.se", "type": "construction", "status": "discovered"},
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{"name": "MSB Risker", "url": "https://www.msb.se", "type": "risk", "status": "discovered"},
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{"name": "Copernicus Sentinel", "url": "https://scihub.copernicus.eu", "type": "satellite", "status": "discovered"},
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{"name": "OpenStreetMap", "url": "https://www.openstreetmap.org", "type": "map", "status": "integrated"},
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{"name": "Wikidata", "url": "https://www.wikidata.org", "type": "knowledge", "status": "discovered"},
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]
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print(f"[{datetime.now().isoformat()}] Dataset Discovery Agent")
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print(f"Found {len(DATASETS)} datasets:")
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for ds in DATASETS:
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print(f" - {ds['name']} ({ds['type']}): {ds['status']}")
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# Spara till fil
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with open('/home/bernt/.openclaw/workspace/life-agents/datasets.json', 'w') as f:
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json.dump(DATASETS, f, indent=2)
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print("Datasets catalogued.")
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