fix(gtm-architect): Stabilize Docker environment and fix frontend

- Refactor Docker build process for gtm-app to ensure reliability
- Correct volume mounts and build context in docker-compose.yml to prevent stale code
- Fix frontend 404 error by using relative paths in index.html
- Ensure API key is correctly mounted into the container
- Stabilize Node.js to Python data passing via explicit --data argument
- Update gtm_architect_documentation.md with extensive troubleshooting guide

gtm_architect_orchestrator.py

@@ -11,6 +11,8 @@ sys.path.append(str(project_root))
 from helpers import call_openai_chat
 import market_db_manager
 
+print("--- PYTHON ORCHESTRATOR V_20260101_1200_FINAL ---", file=sys.stderr)
+
 __version__ = "1.4.0_UltimatePromptFix"
 
 # Ensure DB is ready
@@ -56,7 +58,7 @@ Unsere Strategie ist NICHT "Roboter ersetzen Menschen", sondern "Hybrid-Reinigun
 Behalte immer im Hinterkopf, dass wir bereits folgende Produkte im Portfolio haben:
 1. "Indoor Scrubber 50": Innenreinigung, Hartboden, Fokus: Supermärkte. Message: "Sauberkeit im laufenden Betrieb."
 2. "Service Bot Bella": Service/Gastro, Indoor. Fokus: Restaurants. Message: "Entlastung für Servicekräfte."
-""
+"""
     else:
         return """
 # IDENTITY & PURPOSE
@@ -163,6 +165,7 @@ def analyze_product(data):
     full_extraction_prompt = sys_instr + "\n\n" + extraction_prompt
     print(f"DEBUG: Full Extraction Prompt: \n{full_extraction_prompt[:1000]}...\n", file=sys.stderr)
     extraction_response = call_openai_chat(full_extraction_prompt, response_format_json=True)
+    print(f"DEBUG: Raw Extraction Response from API: {extraction_response}", file=sys.stderr)
     extraction_data = json.loads(extraction_response)
 
     features_json = json.dumps(extraction_data.get('features'))
@@ -175,4 +178,82 @@ def analyze_product(data):
             f"New Product Features: {features_json}",
             f"New Product Constraints: {constraints_json}",
             "",
-            "Existing Portfolio:",
+            "Existing Portfolio:",
+            "1. 'Indoor Scrubber 50': Indoor, Hard Floor, Supermarkets.",
+            "2. 'Service Bot Bella': Indoor, Service/Hospitality, Restaurants.",
+            "",
+            "Task: Check for cannibalization. Does the new product make an existing one obsolete? Explain briefly.",
+            "Output JSON format ONLY."
+        ]
+    else:
+        conflict_prompt_parts = [
+            "PHASE 1-B: PORTFOLIO-KONFLIKT-CHECK",
+            "",
+            f"Neue Produktmerkmale: {features_json}",
+            f"Neue Produkt-Constraints: {constraints_json}",
+            "",
+            "Bestehendes Portfolio:",
+            "1. 'Indoor Scrubber 50': Innenreinigung, Hartboden, Supermärkte.",
+            "2. 'Service Bot Bella': Indoor, Service/Gastro, Restaurants.",
+            "",
+            "Aufgabe: Prüfe auf Kannibalisierung. Macht das neue Produkt ein bestehendes obsolet? Begründe kurz.",
+            "Output JSON format ONLY."
+        ]
+    conflict_prompt = "\n".join(conflict_prompt_parts)
+
+    full_conflict_prompt = sys_instr + "\n\n" + conflict_prompt
+    print(f"DEBUG: Full Conflict Prompt: \n{full_conflict_prompt[:1000]}...\n", file=sys.stderr)
+    conflict_response = call_openai_chat(full_conflict_prompt, response_format_json=True)
+    conflict_data = json.loads(conflict_response)
+
+    # --- Final Response Assembly ---
+    final_response = {
+        "phase1_technical_extraction": extraction_data,
+        "phase2_portfolio_conflict": conflict_data,
+    }
+    print(json.dumps(final_response, indent=2))
+
+
+# --- Main Execution Logic ---
+
+def main():
+    parser = argparse.ArgumentParser(description='GTM Architect main entry point.')
+    parser.add_argument('--data', help='JSON data for the command.')
+    parser.add_argument('--mode', required=True, help='The command to execute.')
+
+    args = parser.parse_args()
+    
+    command = args.mode
+    
+    # Get data from --data arg or stdin
+    if args.data:
+        data = json.loads(args.data)
+    else:
+        # Read from stdin if no data arg provided
+        try:
+            input_data = sys.stdin.read()
+            data = json.loads(input_data) if input_data.strip() else {}
+        except Exception:
+            data = {}
+
+    if not command:
+        print(json.dumps({"error": "No command or mode provided"}))
+        sys.exit(1)
+
+    command_handlers = {
+        'save': save_project_handler,
+        'list': list_projects_handler,
+        'load': load_project_handler,
+        'delete': delete_project_handler,
+        'analyze': analyze_product,
+    }
+
+    handler = command_handlers.get(command)
+    if handler:
+        handler(data)
+    else:
+        print(json.dumps({"error": f"Unknown command: {command}"}))
+
+if __name__ == '__main__':
+    print(f"GTM Architect Engine v{__version__}_FORCE_RELOAD_2 running.", file=sys.stderr)
+    main()