Convert all Chinese comments, docstrings, logger/print output, HTTPException detail messages, and API response messages to English across the entire codebase. Functional zh/ja localized strings (e.g. prompt templates, timezone display names, date formats) are preserved as-is. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
302 lines
11 KiB
Python
302 lines
11 KiB
Python
"""
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Global scheduled task executor
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Scan all projects/robot/{bot_id}/users/{user_id}/tasks.yaml files,
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find due tasks, and execute them by calling create_agent_and_generate_response.
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"""
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import asyncio
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import logging
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import time
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import yaml
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import aiohttp
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import json
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from datetime import datetime, timezone, timedelta
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from pathlib import Path
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from typing import Optional
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logger = logging.getLogger('app')
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class ScheduleExecutor:
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"""Scheduled task executor that runs as an asyncio background task"""
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def __init__(self, scan_interval: int = 60, max_concurrent: int = 5):
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self._scan_interval = scan_interval
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self._max_concurrent = max_concurrent
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self._task: Optional[asyncio.Task] = None
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self._stop_event = asyncio.Event()
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self._executing_tasks: set = set() # Task IDs currently executing, used to prevent duplicates
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self._semaphore: Optional[asyncio.Semaphore] = None
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def start(self):
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"""Start the executor"""
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if self._task is not None and not self._task.done():
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logger.warning("Schedule executor is already running")
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return
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self._stop_event.clear()
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self._semaphore = asyncio.Semaphore(self._max_concurrent)
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self._task = asyncio.create_task(self._scan_loop())
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logger.info(
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f"Schedule executor started: interval={self._scan_interval}s, "
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f"max_concurrent={self._max_concurrent}"
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)
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async def stop(self):
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"""Stop the executor"""
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self._stop_event.set()
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if self._task and not self._task.done():
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self._task.cancel()
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try:
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await self._task
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except asyncio.CancelledError:
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pass
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logger.info("Schedule executor stopped")
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async def _scan_loop(self):
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"""Main scan loop"""
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while not self._stop_event.is_set():
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try:
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await self._scan_and_execute()
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except asyncio.CancelledError:
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break
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except Exception as e:
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logger.error(f"Schedule scan error: {e}")
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# Wait for the next scan or a stop signal
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try:
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await asyncio.wait_for(
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self._stop_event.wait(),
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timeout=self._scan_interval
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)
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break # Received stop signal
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except asyncio.TimeoutError:
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pass # Continue to the next scan on timeout
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async def _scan_and_execute(self):
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"""Scan all tasks.yaml files, find due tasks, and trigger execution"""
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now = datetime.now(timezone.utc)
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robot_dir = Path("projects/robot")
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if not robot_dir.exists():
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return
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tasks_files = list(robot_dir.glob("*/users/*/tasks.yaml"))
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if not tasks_files:
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return
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for tasks_file in tasks_files:
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try:
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with open(tasks_file, 'r', encoding='utf-8') as f:
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data = yaml.safe_load(f)
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if not data or not data.get("tasks"):
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continue
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# Extract bot_id and user_id from the path
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parts = tasks_file.parts
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# Path format: .../projects/robot/{bot_id}/users/{user_id}/tasks.yaml
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bot_id = parts[-4]
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user_id = parts[-2]
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for task in data["tasks"]:
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if task.get("status") != "active":
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continue
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if task["id"] in self._executing_tasks:
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continue
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next_run_str = task.get("next_run_at")
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if not next_run_str:
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continue
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try:
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next_run = datetime.fromisoformat(next_run_str)
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if next_run.tzinfo is None:
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next_run = next_run.replace(tzinfo=timezone.utc)
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except (ValueError, TypeError):
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logger.warning(f"Invalid next_run_at for task {task['id']}: {next_run_str}")
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continue
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if next_run <= now:
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# Task is due, trigger execution
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asyncio.create_task(
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self._execute_task(bot_id, user_id, task, tasks_file)
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)
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except Exception as e:
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logger.error(f"Error reading {tasks_file}: {e}")
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async def _execute_task(self, bot_id: str, user_id: str, task: dict, tasks_file: Path):
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"""Execute a single due task"""
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task_id = task["id"]
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self._executing_tasks.add(task_id)
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start_time = time.time()
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try:
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async with self._semaphore:
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logger.info(f"Executing scheduled task: {task_id} ({task.get('name', '')}) for bot={bot_id} user={user_id}")
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# Call the agent
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response_text = await self._call_agent_v2(bot_id, user_id, task)
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# Write a log entry
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duration_ms = int((time.time() - start_time) * 1000)
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self._write_log(bot_id, user_id, task, response_text, "success", duration_ms)
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# Update tasks.yaml
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self._update_task_after_execution(task_id, tasks_file)
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logger.info(f"Task {task_id} completed in {duration_ms}ms")
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except Exception as e:
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duration_ms = int((time.time() - start_time) * 1000)
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logger.error(f"Task {task_id} execution failed: {e}")
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self._write_log(bot_id, user_id, task, f"ERROR: {e}", "error", duration_ms)
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# Update next_run_at even on failure to avoid infinite retries
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self._update_task_after_execution(task_id, tasks_file)
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finally:
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self._executing_tasks.discard(task_id)
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async def _call_agent_v2(self, bot_id: str, user_id: str, task: dict) -> str:
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"""Call the /api/v2/chat/completions endpoint over HTTP"""
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from utils.fastapi_utils import generate_v2_auth_token
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url = f"http://127.0.0.1:8001/api/v2/chat/completions"
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auth_token = generate_v2_auth_token(bot_id)
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payload = {
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"messages": [{"role": "user", "content": task["message"]}],
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"stream": False,
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"bot_id": bot_id,
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"tool_response": False,
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"session_id": f"schedule_{task['id']}",
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"user_identifier": user_id,
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}
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headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {auth_token}",
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}
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async with aiohttp.ClientSession() as session:
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async with session.post(url, json=payload, headers=headers, timeout=aiohttp.ClientTimeout(total=300)) as resp:
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if resp.status != 200:
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body = await resp.text()
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raise RuntimeError(f"API returned {resp.status}: {body}")
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data = await resp.json()
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return data["choices"][0]["message"]["content"]
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def _update_task_after_execution(self, task_id: str, tasks_file: Path):
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"""Update tasks.yaml after execution"""
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try:
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with open(tasks_file, 'r', encoding='utf-8') as f:
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data = yaml.safe_load(f)
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if not data or not data.get("tasks"):
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return
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now_utc = datetime.now(timezone.utc).isoformat()
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for task in data["tasks"]:
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if task["id"] != task_id:
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continue
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task["last_executed_at"] = now_utc
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task["execution_count"] = task.get("execution_count", 0) + 1
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if task["type"] == "once":
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task["status"] = "done"
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task["next_run_at"] = None
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elif task["type"] == "cron" and task.get("schedule"):
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# Compute the next execution time
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task["next_run_at"] = self._compute_next_run(
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task["schedule"],
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task.get("timezone", "UTC")
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)
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break
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with open(tasks_file, 'w', encoding='utf-8') as f:
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yaml.dump(data, f, allow_unicode=True, default_flow_style=False, sort_keys=False)
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except Exception as e:
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logger.error(f"Failed to update task {task_id}: {e}")
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def _compute_next_run(self, schedule: str, tz: str) -> str:
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"""Compute the next UTC run time for a cron task"""
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from croniter import croniter
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# Timezone offset mapping
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tz_offsets = {
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'Asia/Shanghai': 8,
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'Asia/Tokyo': 9,
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'UTC': 0,
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'America/New_York': -5,
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'America/Los_Angeles': -8,
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'Europe/London': 0,
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'Europe/Berlin': 1,
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}
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offset_hours = tz_offsets.get(tz, 0)
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offset = timedelta(hours=offset_hours)
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now_utc = datetime.now(timezone.utc)
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now_local = (now_utc + offset).replace(tzinfo=None)
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cron = croniter(schedule, now_local)
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next_local = cron.get_next(datetime)
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next_utc = next_local - offset
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return next_utc.replace(tzinfo=timezone.utc).isoformat()
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def _write_log(self, bot_id: str, user_id: str, task: dict,
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response: str, status: str, duration_ms: int):
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"""Write execution logs"""
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logs_dir = Path("projects/robot") / bot_id / "users" / user_id / "task_logs"
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logs_dir.mkdir(parents=True, exist_ok=True)
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log_file = logs_dir / "execution.log"
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log_entry = {
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"task_id": task["id"],
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"task_name": task.get("name", ""),
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"executed_at": datetime.now(timezone.utc).isoformat(),
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"status": status,
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"response": response[:2000] if response else "", # Truncate overly long responses
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"duration_ms": duration_ms,
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}
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# Append to the YAML list
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existing_logs = []
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if log_file.exists():
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try:
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with open(log_file, 'r', encoding='utf-8') as f:
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existing_logs = yaml.safe_load(f) or []
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except Exception:
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existing_logs = []
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existing_logs.append(log_entry)
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# Keep the most recent 100 log entries
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if len(existing_logs) > 100:
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existing_logs = existing_logs[-100:]
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with open(log_file, 'w', encoding='utf-8') as f:
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yaml.dump(existing_logs, f, allow_unicode=True, default_flow_style=False, sort_keys=False)
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# Global singleton
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_executor: Optional[ScheduleExecutor] = None
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def get_schedule_executor() -> ScheduleExecutor:
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"""Get the global executor instance"""
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global _executor
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if _executor is None:
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from utils.settings import SCHEDULE_SCAN_INTERVAL, SCHEDULE_MAX_CONCURRENT
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_executor = ScheduleExecutor(
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scan_interval=SCHEDULE_SCAN_INTERVAL,
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max_concurrent=SCHEDULE_MAX_CONCURRENT,
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)
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return _executor
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