import logging
import asyncio
import time
from backend.ws.ws_manager import ws_manager

class ResearchWorkflowManager:
    """
    Coordinates the 14-step unified research workflow across Backend, Cloud, EXE, and APK.
    
    1. Jarvis/Friday Discovery 
    2. Backend receives
    3. Backend -> Cloud 
    4. Cloud Records Event 
    5. EXE Approval Request 
    6. APK Approval Request 
    7. User Approves 
    8. Implementation 
    9. Master Vault Updated 
    10. Databases Updated 
    11. Cloud Updated 
    12. Backend Updated 
    13. APK Updated 
    14. EXE Updated
    """

    async def initiate_research_workflow(self, discovery_payload: dict):
        logging.info(f"Step 1 & 2: Backend received discovery: {discovery_payload}")
        
        # Step 3 & 4: Cloud Sync & Record
        await self._sync_to_cloud(discovery_payload)
        
        # Step 5 & 6: Ask for approval across devices
        approval_id = f"req_{int(time.time())}"
        await self._request_approvals(approval_id, discovery_payload)
        
        # Simulated Waiting for Approval
        # In real execution, a WS callback would trigger `handle_approval`
        logging.info(f"Workflow {approval_id} pending user approval...")

    async def handle_approval(self, approval_id: str, approved: bool):
        if not approved:
            logging.info(f"Workflow {approval_id} rejected by user.")
            return
            
        logging.info(f"Step 7 & 8: User approved {approval_id}. Implementation beginning.")
        
        # Execute the implementation logic
        await self._execute_implementation(approval_id)
        
        # Step 9 - 14: Update Ecosystem
        await self._update_ecosystem(approval_id)

    async def _sync_to_cloud(self, payload: dict):
        # Uses the CLOUD_SYNC_DOMAIN key
        logging.info("Step 3 & 4: Syncing discovery to Cloud.")
        await ws_manager.emit("cloud:sync_discovery", payload)
        
    async def _request_approvals(self, req_id: str, payload: dict):
        logging.info("Step 5 & 6: Emitting approval requests to EXE and APK.")
        approval_payload = {"req_id": req_id, "discovery": payload}
        await ws_manager.emit("exe:request_approval", approval_payload)
        await ws_manager.emit("apk:request_approval", approval_payload)
        
    async def _execute_implementation(self, req_id: str):
        # This would call the agent's code execution loop
        logging.info("Step 8: Implementation executing...")
        await asyncio.sleep(1) # Simulate work

    async def _update_ecosystem(self, req_id: str):
        logging.info("Step 9 & 10: Updating Master Vault and Databases.")
        # Trigger Vault update logic here
        
        logging.info("Step 11 & 12: Updating Cloud and Backend states.")
        await ws_manager.emit("cloud:commit_update", {"req_id": req_id})
        
        logging.info("Step 13 & 14: Broadcasting final state to APK and EXE.")
        await ws_manager.emit("apk:update_state", {"req_id": req_id})
        await ws_manager.emit("exe:update_state", {"req_id": req_id})

research_workflow = ResearchWorkflowManager()