Etape 1 OK, sans optionnel

backend/app/graph/nodes.py

@@ -1,18 +1,34 @@
+#nodes.py
 from app.agents.pm_agent import run_pm_agent
 from app.agents.dev_agent import run_dev_agent
 from app.agents.qa_agent import run_qa_agent
 from app.services.retrieval_service import find_existing_project
 from app.graph.state import WorkflowState
 
-async def pm_node(state: WorkflowState):
-    prompt = state["user_input"]
-    if state.get("user_feedback"):
-        prompt += f"\nRetour utilisateur pour correction : {state['user_feedback']}"
+async def pm_node(state: WorkflowState):    
+    history = state.get("chat_history", []) or []
+    
+    if state.get("status") == "spec_incomplete" and state.get("user_feedback"):
+        current_input = state["user_feedback"]
+        full_user_input = f"{state['user_input']}\n{current_input}"
+    else:
+        current_input = state["user_input"]
+        full_user_input = current_input
+    
+    spec = await run_pm_agent(user_input=current_input, history=history)
+    
+    updated_history = list(history)
+    updated_history.append({"role": "user", "content": current_input})
+    
+    if not spec.is_complete and spec.clarifying_question:
+        updated_history.append({"role": "assistant", "content": spec.clarifying_question})
 
-    spec = await run_pm_agent(prompt)
     return {
         "spec": spec.model_dump(),
-        "status": "spec_ready",
+        "status": "spec_ready" if spec.is_complete else "spec_incomplete", 
+        "chat_history": updated_history,
+        "user_input": full_user_input, 
+        "user_feedback": None,
         "loop_count": 0,
     }
 
@@ -53,4 +69,45 @@ async def human_review_node(state: WorkflowState):
         "existing_project_approved": True, 
         "is_completed": True,
         "status": "approved_by_human"
-    }
+    }
+
+# def inspect_specifications_gaps(spec_dict: dict) -> list[str]:
+#     missing_fields = []
+    
+#     # 1. Vérifications globales (clés alignées sur ProjectSpec)
+#     if not spec_dict.get("title"): missing_fields.append("title")
+#     if not spec_dict.get("description"): missing_fields.append("description")
+#     if not spec_dict.get("requirements"): missing_fields.append("requirements")
+        
+#     # 2. Entrées/Sorties
+#     io = spec_dict.get("io_config", {})
+#     if io.get("has_inputs") is True and not io.get("input_type"):
+#         missing_fields.append("io_config.input_type")
+#     if io.get("has_outputs") is True and not io.get("output_type"):
+#         missing_fields.append("io_config.output_type")
+            
+#     # 3. Authentification
+#     auth = spec_dict.get("auth_config", {})
+#     if auth.get("requires_auth") is True and not auth.get("auth_method"):
+#         missing_fields.append("auth_config.auth_method")
+                
+#     return missing_fields
+
+# def generate_clarifying_questions_prompt(missing_fields: list[str]) -> str:
+#     # Le mapping utilise désormais les EXACTES mêmes clés
+#     mapping_instructions = {
+#         "title": "- Préciser un titre pour le projet.",
+#         "description": "- Expliquer le but global du script.",
+#         "requirements": "- Lister les fonctionnalités attendues étape par étape.",
+#         "io_config.input_type": "- Préciser le type et le format des fichiers/données d'entrée (CSV, dossier, etc.).",
+#         "io_config.output_type": "- Préciser le type et le format attendus en sortie (Excel, PDF, log, etc.).",
+#         "auth_config.auth_method": "- Clarifier la méthode d'accès ou d'authentification exigée pour l'outil tiers."
+#     }
+    
+#     bullet_points = "\n".join([mapping_instructions[field] for field in missing_fields if field in mapping_instructions])
+    
+#     return f"""
+#     ATTENTION : Les données suivantes sont obligatoires mais absentes.
+#     Vous devez formuler une question naturelle et polie pour demander à l'utilisateur de préciser :
+#     {bullet_points}
+#     """