38444f4508
- Use canonical persisted task.status (from DB) instead of incoming request parameter - Implement explicit status-to-score mapping: completed→+1, skipped/dismissed/rejected→-1, other→0 - Normalize all negative outcomes uniformly for self-learning memory - Ensure memory feedback aligns with backend status normalization rules - Preserve contextuality_validation and quality_status response fields - Keep failures non-fatal to API behavior with exception handling - Improve code clarity with explicit conditional logic over ternary operators
240 lines
8.6 KiB
Python
240 lines
8.6 KiB
Python
from fastapi import APIRouter, Depends, HTTPException
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from typing import Any, Dict, Optional
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from datetime import datetime
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from loguru import logger
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from sqlalchemy.orm import Session
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from middleware.auth_middleware import get_current_user
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from services.database import get_db
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from services.today_workflow_service import get_or_create_daily_workflow_plan, update_task_status
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from models.daily_workflow_models import DailyWorkflowPlan, DailyWorkflowTask
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import asyncio
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from services.intelligence.txtai_service import TxtaiIntelligenceService
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router = APIRouter(prefix="/api/today-workflow", tags=["Today Workflow"])
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async def _index_tasks_to_sif(user_id: str, date: str, tasks: list[dict], label: str):
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svc = TxtaiIntelligenceService(user_id)
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items = []
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for t in tasks:
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task_id = t.get("id")
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pillar_id = t.get("pillarId")
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status = t.get("status")
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title = t.get("title")
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description = t.get("description")
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text = f"[{pillar_id}] {title}\n{description}\nstatus={status}"
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metadata = {
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"type": "daily_workflow_task",
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"date": date,
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"label": label,
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"pillar_id": pillar_id,
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"status": status,
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"implemented": status == "completed",
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"dismissed": status == "skipped",
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"task_id": task_id,
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}
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items.append((f"{label}_task:{user_id}:{date}:{task_id}", text, metadata))
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try:
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await svc.index_content(items)
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except Exception:
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return
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@router.get("")
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async def get_today_workflow(
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date: Optional[str] = None,
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current_user: dict = Depends(get_current_user),
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db: Session = Depends(get_db),
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) -> Dict[str, Any]:
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from starlette.concurrency import run_in_threadpool
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user_id = str(current_user.get("id"))
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plan, created = await get_or_create_daily_workflow_plan(db, user_id, date=date)
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def _fetch_tasks():
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return (
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db.query(DailyWorkflowTask)
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.filter(DailyWorkflowTask.plan_id == plan.id, DailyWorkflowTask.user_id == user_id)
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.order_by(DailyWorkflowTask.created_at.asc())
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.all()
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)
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tasks = await run_in_threadpool(_fetch_tasks)
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response_tasks = []
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for t in tasks:
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response_tasks.append(
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{
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"id": str(t.id),
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"pillarId": t.pillar_id,
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"title": t.title,
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"description": t.description,
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"status": "skipped" if t.status == "dismissed" else t.status,
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"priority": t.priority,
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"estimatedTime": t.estimated_time,
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"dependencies": t.dependencies or [],
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"actionUrl": t.action_url,
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"actionType": t.action_type,
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"metadata": t.metadata_json or {},
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"enabled": bool(t.enabled),
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}
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)
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total = len(response_tasks)
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completed = len([t for t in response_tasks if t["status"] in ("completed", "skipped")])
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current_index = 0
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for i, task in enumerate(response_tasks):
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if task["status"] not in ("completed", "skipped"):
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current_index = i
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break
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current_index = i
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workflow_status = "not_started"
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if completed > 0 and completed < total:
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workflow_status = "in_progress"
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elif total > 0 and completed == total:
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workflow_status = "completed"
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total_estimated = int(sum(int(t.get("estimatedTime") or 0) for t in response_tasks))
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if created:
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asyncio.create_task(_index_tasks_to_sif(user_id, plan.date, response_tasks, label="today"))
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try:
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from datetime import date as date_type, timedelta
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y_str = (date_type.fromisoformat(plan.date) - timedelta(days=1)).isoformat()
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def _fetch_yesterday():
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y_plan = (
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db.query(DailyWorkflowPlan)
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.filter(DailyWorkflowPlan.user_id == user_id, DailyWorkflowPlan.date == y_str)
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.first()
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)
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if y_plan:
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y_tasks = (
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db.query(DailyWorkflowTask)
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.filter(DailyWorkflowTask.plan_id == y_plan.id, DailyWorkflowTask.user_id == user_id)
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.order_by(DailyWorkflowTask.created_at.asc())
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.all()
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)
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return y_tasks
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return []
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y_tasks = await run_in_threadpool(_fetch_yesterday)
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if y_tasks:
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y_response = []
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for t in y_tasks:
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y_response.append(
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{
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"id": str(t.id),
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"pillarId": t.pillar_id,
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"title": t.title,
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"description": t.description,
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"status": "skipped" if t.status == "dismissed" else t.status,
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}
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)
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asyncio.create_task(_index_tasks_to_sif(user_id, y_str, y_response, label="yesterday"))
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except Exception:
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pass
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return {
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"success": True,
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"data": {
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"workflow": {
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"id": f"daily-{user_id}-{plan.date}",
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"date": plan.date,
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"userId": user_id,
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"tasks": response_tasks,
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"currentTaskIndex": current_index,
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"completedTasks": completed,
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"totalTasks": total,
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"workflowStatus": workflow_status,
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"totalEstimatedTime": total_estimated,
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"actualTimeSpent": 0,
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},
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"plan": {
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"id": plan.id,
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"date": plan.date,
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"source": plan.source,
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"quality_status": (plan.plan_json or {}).get("quality_status", "contextual"),
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"contextuality_validation": (plan.plan_json or {}).get("contextuality_validation"),
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"created_at": plan.created_at.isoformat() if plan.created_at else None,
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"updated_at": plan.updated_at.isoformat() if plan.updated_at else None,
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},
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},
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"timestamp": datetime.utcnow().isoformat(),
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"user_id": user_id,
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}
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from services.task_memory_service import TaskMemoryService
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@router.post("/tasks/{task_id}/status")
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async def set_task_status(
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task_id: int,
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body: Dict[str, Any],
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current_user: dict = Depends(get_current_user),
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db: Session = Depends(get_db),
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) -> Dict[str, Any]:
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user_id = str(current_user.get("id"))
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status = body.get("status")
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if not status:
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raise HTTPException(status_code=400, detail="status is required")
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completion_notes = body.get("completion_notes")
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task = update_task_status(db, user_id, task_id, status=status, completion_notes=completion_notes)
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if not task:
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raise HTTPException(status_code=404, detail="Task not found")
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# Record outcome in memory for self-learning
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try:
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memory = TaskMemoryService(user_id, db)
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normalized_status = (task.status or "").lower()
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if normalized_status == "completed":
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feedback_score = 1
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elif normalized_status in {"skipped", "dismissed", "rejected"}:
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feedback_score = -1
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else:
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feedback_score = 0
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await memory.record_task_outcome(
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task,
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feedback_score=feedback_score,
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feedback_text=completion_notes,
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)
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except Exception as e:
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logger.warning(
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"Task memory outcome recording failed for user_id={} task_id={} error_class={} error_message={}",
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user_id,
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task_id,
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type(e).__name__,
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str(e),
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)
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plan_for_date = db.query(DailyWorkflowPlan).filter(DailyWorkflowPlan.id == task.plan_id).first()
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plan_date = plan_for_date.date if plan_for_date and plan_for_date.date else ""
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task_payload = {
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"id": str(task.id),
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"pillarId": task.pillar_id,
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"title": task.title,
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"description": task.description,
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"status": "skipped" if task.status == "dismissed" else task.status,
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}
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asyncio.create_task(_index_tasks_to_sif(user_id, plan_date, [task_payload], label="today"))
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return {
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"success": True,
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"data": {
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"task": {
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"id": str(task.id),
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"pillarId": task.pillar_id,
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"status": "skipped" if task.status == "dismissed" else task.status,
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"decided_at": task.decided_at.isoformat() if task.decided_at else None,
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}
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},
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"timestamp": datetime.utcnow().isoformat(),
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"user_id": user_id,
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}
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