landvex: Fixar och tester klara för alla komponenter

- Datafabrik: Dockerfile fix, agentorkestrering fungerar
- Vision: Identify-modell, FAISS, OCR alla testade
- API: Alla 7 integrationstester passerade
- Upplösare: Entitetsupplösning verifierad

rivp-pilot-1/fetch_real_satellite.py

@@ -0,0 +1,104 @@
+#!/usr/bin/env python3
+"""
+Hämtar verkliga Sentinel-2 bilder från Copernicus Data Space
+"""
+import requests
+import json
+import os
+from datetime import datetime, timedelta
+
+# Uppsala area bounding box
+BBOX = {
+    "min_lon": 17.4,
+    "min_lat": 59.8,
+    "max_lon": 17.8,
+    "max_lat": 60.1
+}
+
+# Copernicus Data Space API
+COPERNICUS_URL = "https://catalogue.dataspace.copernicus.eu/odata/v1/Products"
+
+def search_sentinel_images():
+    """Sök efter Sentinel-2 bilder för Uppsala-området"""
+    
+    # Bygg sökquery
+    params = {
+        "$filter": f"Collection/Name eq 'SENTINEL-2' and OData.CSC.Intersects(area=geography'SRID=4326;POLYGON(({BBOX['min_lon']} {BBOX['min_lat']}, {BBOX['max_lon']} {BBOX['min_lat']}, {BBOX['max_lon']} {BBOX['max_lat']}, {BBOX['min_lon']} {BBOX['max_lat']}, {BBOX['min_lon']} {BBOX['min_lat']}))')",
+        "$orderby": "ContentDate/Start desc",
+        "$top": 5,
+        "$skip": 0
+    }
+    
+    print(f"[{datetime.now().isoformat()}] Searching Sentinel-2 images...")
+    print(f"Area: Uppsala ({BBOX['min_lon']}, {BBOX['min_lat']}, {BBOX['max_lon']}, {BBOX['max_lat']})")
+    
+    try:
+        response = requests.get(COPERNICUS_URL, params=params, timeout=30)
+        if response.status_code == 200:
+            data = response.json()
+            products = data.get('value', [])
+            
+            print(f"Found {len(products)} products")
+            
+            for i, product in enumerate(products[:3]):
+                print(f"\nProduct {i+1}:")
+                print(f"  ID: {product.get('Id')}")
+                print(f"  Name: {product.get('Name')}")
+                print(f"  Date: {product.get('ContentDate', {}).get('Start')}")
+                print(f"  Cloud Cover: {product.get('CloudCover', 'N/A')}%")
+                print(f"  Size: {product.get('ContentLength', 0) / (1024*1024):.1f} MB")
+                
+                # Spara produktinfo
+                with open(f'satellite_product_{i+1}.json', 'w') as f:
+                    json.dump(product, f, indent=2)
+            
+            return products
+        else:
+            print(f"Error: HTTP {response.status_code}")
+            print(response.text[:500])
+            return []
+            
+    except Exception as e:
+        print(f"Error: {str(e)}")
+        return []
+
+def download_quicklook(product_id, filename):
+    """Ladda ner quicklook (förhandsvisning)"""
+    url = f"{COPERNICUS_URL}({product_id})/Products(Quicklook)"
+    
+    print(f"\nDownloading quicklook for {product_id}...")
+    
+    try:
+        response = requests.get(url, timeout=30)
+        if response.status_code == 200:
+            with open(filename, 'wb') as f:
+                f.write(response.content)
+            print(f"Saved to {filename} ({len(response.content)} bytes)")
+            return True
+        else:
+            print(f"Error: HTTP {response.status_code}")
+            return False
+    except Exception as e:
+        print(f"Error: {str(e)}")
+        return False
+
+if __name__ == "__main__":
+    print("="*60)
+    print("SENTINEL-2 SATELLITE IMAGE FETCH")
+    print("="*60)
+    
+    products = search_sentinel_images()
+    
+    if products:
+        print("\n" + "="*60)
+        print("DOWNLOADING QUICKLOOKS")
+        print("="*60)
+        
+        for i, product in enumerate(products[:2]):
+            product_id = product.get('Id')
+            if product_id:
+                download_quicklook(product_id, f"quicklook_{i+1}.jpg")
+    
+    print("\n" + "="*60)
+    print("DONE")
+    print("="*60)