[2ff88f42] feat(GTM-Engine): Implement Dual Opener Strategy & Harden Analysis

Completed the GTM engine setup:\n\n- Implemented 'Dual Opener' generation (Primary/Secondary) in ClassificationService.\n- Migrated DB to support two opener fields.\n- Updated API and Frontend to handle and display both openers.\n- Fixed bug creating duplicate website_scrape entries.\n- Hardened metric extraction by improving the LLM prompt and adding content length checks.

company-explorer/backend/scripts/inspect_therme.py

@@ -0,0 +1,58 @@
+import sys
+import os
+from sqlalchemy import create_engine
+from sqlalchemy.orm import sessionmaker
+
+# Add backend path
+sys.path.append(os.path.join(os.path.dirname(__file__), "../../"))
+
+from backend.database import Company, EnrichmentData
+from backend.config import settings
+
+def inspect_company(company_name_part):
+    engine = create_engine(settings.DATABASE_URL)
+    SessionLocal = sessionmaker(bind=engine)
+    db = SessionLocal()
+    
+    try:
+        print(f"Searching for company containing: '{company_name_part}'...")
+        companies = db.query(Company).filter(Company.name.ilike(f"%{company_name_part}%")).all()
+        
+        if not companies:
+            print("❌ No company found.")
+            return
+
+        for company in companies:
+            print("\n" + "="*60)
+            print(f"🏢 COMPANY: {company.name} (ID: {company.id})")
+            print("="*60)
+            print(f"🌐 Website: {company.website}")
+            print(f"🏗️  Industry (AI): {company.industry_ai}")
+            print(f"📊 Metric: {company.calculated_metric_value} {company.calculated_metric_unit} (Std: {company.standardized_metric_value} m²)")
+            print(f"✅ Status: {company.status}")
+            
+            # Enrichment Data
+            enrichment = db.query(EnrichmentData).filter(EnrichmentData.company_id == company.id).all()
+            print("\n📚 ENRICHMENT DATA:")
+            for ed in enrichment:
+                print(f"   🔹 Type: {ed.source_type} (Locked: {ed.is_locked})")
+                if ed.source_type == "website_scrape":
+                    content = ed.content
+                    if isinstance(content, dict):
+                        summary = content.get("summary", "No summary")
+                        raw_text = content.get("raw_text", "")
+                        print(f"      📝 Summary: {str(summary)[:200]}...")
+                        print(f"      📄 Raw Text Length: {len(str(raw_text))} chars")
+                elif ed.source_type == "wikipedia":
+                    content = ed.content
+                    if isinstance(content, dict):
+                        print(f"      🔗 Wiki URL: {content.get('url')}")
+                        print(f"      📄 Content Snippet: {str(content.get('full_text', ''))[:200]}...")
+
+    except Exception as e:
+        print(f"Error: {e}")
+    finally:
+        db.close()
+
+if __name__ == "__main__":
+    inspect_company("Therme Erding")

company-explorer/backend/scripts/migrate_opener.py

@@ -0,0 +1,31 @@
+from sqlalchemy import create_engine, text
+import sys
+import os
+
+# Add backend path
+sys.path.append(os.path.join(os.path.dirname(__file__), "../../"))
+from backend.config import settings
+
+def migrate():
+    engine = create_engine(settings.DATABASE_URL)
+    with engine.connect() as conn:
+        try:
+            # Check if column exists
+            print("Checking schema...")
+            # SQLite specific pragma
+            result = conn.execute(text("PRAGMA table_info(companies)"))
+            columns = [row[1] for row in result.fetchall()]
+            
+            if "ai_opener" in columns:
+                print("Column 'ai_opener' already exists. Skipping.")
+            else:
+                print("Adding column 'ai_opener' to 'companies' table...")
+                conn.execute(text("ALTER TABLE companies ADD COLUMN ai_opener TEXT"))
+                conn.commit()
+                print("✅ Migration successful.")
+                
+        except Exception as e:
+            print(f"❌ Migration failed: {e}")
+
+if __name__ == "__main__":
+    migrate()

company-explorer/backend/scripts/test_opener_generation.py

@@ -0,0 +1,41 @@
+import sys
+import os
+import logging
+
+# Add backend path
+sys.path.append(os.path.join(os.path.dirname(__file__), "../../"))
+
+# Mock logging
+logging.basicConfig(level=logging.INFO)
+
+# Import Service
+from backend.services.classification import ClassificationService
+
+def test_opener_generation():
+    service = ClassificationService()
+    
+    print("\n--- TEST: Therme Erding (Primary Focus: Hygiene) ---")
+    op_prim = service._generate_marketing_opener(
+        company_name="Therme Erding",
+        website_text="Größte Therme der Welt, 35 Saunen, Rutschenparadies Galaxy, Wellenbad. Täglich tausende Besucher.",
+        industry_name="Leisure - Wet & Spa",
+        industry_pains="Rutschgefahr und Hygiene",
+        focus_mode="primary"
+    )
+    print(f"Primary Opener: {op_prim}")
+
+    print("\n--- TEST: Dachser Logistik (Secondary Focus: Process) ---")
+    op_sec = service._generate_marketing_opener(
+        company_name="Dachser SE",
+        website_text="Globaler Logistikdienstleister, Warehousing, Food Logistics, Air & Sea Logistics. Intelligent Logistics.",
+        industry_name="Logistics - Warehouse",
+        industry_pains="Effizienz und Sicherheit",
+        focus_mode="secondary"
+    )
+    print(f"Secondary Opener: {op_sec}")
+
+if __name__ == "__main__":
+    try:
+        test_opener_generation()
+    except Exception as e:
+        print(f"Test Failed (likely due to missing env/deps): {e}")