[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.

inspect_sqlite_native.py

@@ -0,0 +1,56 @@
+import sqlite3
+import json
+
+DB_PATH = "/app/companies_v3_fixed_2.db"
+
+def inspect(name_part):
+    try:
+        conn = sqlite3.connect(DB_PATH)
+        cursor = conn.cursor()
+        
+        print(f"Searching for '{name_part}' in {DB_PATH}...")
+        cursor.execute("SELECT id, name, website, industry_ai, calculated_metric_value, standardized_metric_value FROM companies WHERE name LIKE ?", (f'%{name_part}%',))
+        companies = cursor.fetchall()
+        
+        if not companies:
+            print("No hits.")
+            return
+
+        for c in companies:
+            cid, name, website, industry, metric, std_metric = c
+            print("\n" + "="*40)
+            print(f"🏢 {name} (ID: {cid})")
+            print(f"   Vertical: {industry}")
+            print(f"   Website: {website}")
+            print(f"   Metric: {metric} (Std: {std_metric})")
+            
+            # Fetch Enrichment Data
+            cursor.execute("SELECT source_type, content FROM enrichment_data WHERE company_id = ?", (cid,))
+            rows = cursor.fetchall()
+            print("\n   📚 Enrichment Data:")
+            for r in rows:
+                stype, content_raw = r
+                print(f"   - {stype}")
+                try:
+                    content = json.loads(content_raw)
+                    if stype == "website_scrape":
+                        summary = content.get("summary", "")
+                        raw = content.get("raw_text", "")
+                        print(f"     > Summary: {summary[:150]}...")
+                        print(f"     > Raw Length: {len(raw)}")
+                        if len(raw) > 500:
+                             print(f"     > Raw Snippet: {raw[:300]}...")
+                    elif stype == "wikipedia":
+                        print(f"     > URL: {content.get('url')}")
+                        intro = content.get("intro_text", "") or content.get("full_text", "")
+                        print(f"     > Intro: {str(intro)[:150]}...")
+                except:
+                    print("     > (Content not valid JSON)")
+
+    except Exception as e:
+        print(f"Error: {e}")
+    finally:
+        if conn: conn.close()
+
+if __name__ == "__main__":
+    inspect("Therme Erding")