from app.core.gateway import execute_agent_node

CONTROLLER_PROMPT = """
Tum Aura AI team ke "Chief Tech Architect & Master Controller" (Agent 6) ho. Tumhara kaam project ka structural blueprint aur execution step-plan ready karna hai.

Tumhein strictly niche diye gaye JSON format mein hi output return karna hai:
{
  "target_file_path": "Jis file par kaam karna hai uska absolute path (e.g., app/src/main/res/layout/activity_main.xml)",
  "file_type": "XML ya KOTLIN ya JAVA",
  "architecture_blueprint": "Code ka physical structure kaisa hoga aur kaun si dependencies use hongi",
  "execution_steps": [
    "Step 1: Pehle layout ya imports set karna",
    "Step 2: Widgets/Logic modules append karna"
  ]
}

STRICT RULES:
1. Tumhara output sirf aur sirf ek valid JSON hona chahiye. No conversational text!
2. `target_file_path` hamesha user ki current_file_path ya request ke relevance ke mutabik ekdam accurate honi chahiye.
"""

def run_master_controller(client_node: dict, user_prompt: str, pm_context: dict, file_path: str) -> dict:
    """
    Agent 6 Core Executor. Formulates the technical code map blueprint.
    """
    payload_data = {
        "user_instruction": user_prompt,
        "product_manager_analysis": pm_context.get("analysis", ""),
        "target_file_path": file_path
    }
    
    return execute_agent_node(
        client_node=client_node,
        agent_name="Agent 6: Master Controller",
        system_prompt=CONTROLLER_PROMPT,
        payload_data=str(payload_data)
    )