"""多任务增量采集核心逻辑""" import asyncio import logging from typing import Dict, Optional from concurrent.futures import ThreadPoolExecutor from app.services.api_client import api_client from app.services.kafka_service import kafka_service from app.services.progress_store import progress_store from app.utils import is_within_days from app.models import JobData from app.core.config import settings, TaskConfig logger = logging.getLogger(__name__) class TaskCrawler: """单个任务采集器""" def __init__(self, task_config: TaskConfig): self.task_id = task_config.id self.task_name = task_config.name or task_config.id self.batch_size = settings.api.batch_size self.filter_days = settings.crawler.filter_days self._running = False self._total_filtered = 0 self._total_produced = 0 @property def is_running(self) -> bool: return self._running async def start(self, reset: bool = False): """开始采集""" if self._running: logger.warning(f"[{self.task_name}] 任务已在运行中") return self._running = True self._total_filtered = 0 self._total_produced = 0 logger.info(f"[{self.task_name}] 开始采集任务") try: if reset: progress_store.reset_progress(self.task_id) current_offset = 0 else: progress = progress_store.get_progress(self.task_id) current_offset = progress.current_offset if progress else 0 total = await api_client.get_total_count(self.task_id) logger.info(f"[{self.task_name}] 数据总数: {total}, 当前偏移: {current_offset}") if current_offset >= total: logger.info(f"[{self.task_name}] 数据已全部采集完成") progress_store.save_progress(self.task_id, current_offset, total, "completed", self._total_filtered, self._total_produced) self._running = False return while current_offset < total and self._running: try: await self._crawl_batch(current_offset) current_offset += self.batch_size progress_store.save_progress(self.task_id, current_offset, total, "running", self._total_filtered, self._total_produced) progress_pct = min(100, current_offset / total * 100) logger.info(f"[{self.task_name}] 进度: {progress_pct:.2f}% ({current_offset}/{total})") await asyncio.sleep(0.5) except Exception as e: logger.error(f"[{self.task_name}] 采集批次失败: {e}") await asyncio.sleep(5) status = "completed" if current_offset >= total else "stopped" progress_store.save_progress(self.task_id, current_offset, total, status, self._total_filtered, self._total_produced) logger.info(f"[{self.task_name}] 采集任务 {status}") except Exception as e: logger.error(f"[{self.task_name}] 采集任务异常: {e}") progress_store.save_progress(self.task_id, 0, 0, "error", self._total_filtered, self._total_produced) finally: self._running = False async def _crawl_batch(self, offset: int): """采集一批数据""" result = await api_client.fetch_data(self.task_id, offset, self.batch_size) data_list = result.get("data", {}).get("data", []) if not data_list: return filtered_jobs = [] for raw in data_list: aae397 = raw.get("aae397", "") collect_time = raw.get("Collect_time", "") if is_within_days(aae397, collect_time, self.filter_days): job = JobData.from_raw(raw) job.task_id = self.task_id # 添加任务ID标识 filtered_jobs.append(job) self._total_filtered += len(filtered_jobs) if filtered_jobs: produced = kafka_service.produce_batch(filtered_jobs) self._total_produced += produced def stop(self): """停止采集""" logger.info(f"[{self.task_name}] 正在停止采集任务...") self._running = False def get_status(self) -> dict: """获取采集状态""" stats = progress_store.get_stats(self.task_id) if not stats: return { "task_id": self.task_id, "task_name": self.task_name, "total": 0, "current_offset": 0, "progress": "0%", "status": "idle", "last_update": "", "filtered_count": 0, "produced_count": 0 } total = stats.get("total", 0) current = stats.get("current_offset", 0) progress = f"{min(100, current / total * 100):.2f}%" if total > 0 else "0%" return { "task_id": self.task_id, "task_name": self.task_name, "total": total, "current_offset": current, "progress": progress, "status": stats.get("status", "idle"), "last_update": stats.get("last_update", ""), "filtered_count": stats.get("filtered_count", 0), "produced_count": stats.get("produced_count", 0) } class CrawlerManager: """多任务采集管理器""" def __init__(self): self._crawlers: Dict[str, TaskCrawler] = {} self._executor = ThreadPoolExecutor(max_workers=settings.crawler.max_workers) self._init_crawlers() def _init_crawlers(self): """初始化所有启用的任务采集器""" for task in settings.get_enabled_tasks(): self._crawlers[task.id] = TaskCrawler(task) logger.info(f"初始化任务采集器: {task.name} ({task.id})") def get_crawler(self, task_id: str) -> Optional[TaskCrawler]: """获取指定任务的采集器""" return self._crawlers.get(task_id) def get_all_crawlers(self) -> Dict[str, TaskCrawler]: """获取所有采集器""" return self._crawlers async def start_task(self, task_id: str, reset: bool = False) -> bool: """启动单个任务""" crawler = self._crawlers.get(task_id) if not crawler: logger.error(f"任务不存在: {task_id}") return False if crawler.is_running: logger.warning(f"任务已在运行: {task_id}") return False asyncio.create_task(crawler.start(reset)) return True async def start_all(self, reset: bool = False): """启动所有任务""" tasks = [] for task_id, crawler in self._crawlers.items(): if not crawler.is_running: tasks.append(crawler.start(reset)) if tasks: await asyncio.gather(*tasks) def stop_task(self, task_id: str) -> bool: """停止单个任务""" crawler = self._crawlers.get(task_id) if not crawler: return False crawler.stop() return True def stop_all(self): """停止所有任务""" for crawler in self._crawlers.values(): crawler.stop() def get_status(self, task_id: str = None) -> dict: """获取状态""" if task_id: crawler = self._crawlers.get(task_id) return crawler.get_status() if crawler else {} # 返回所有任务状态 return { "tasks": [c.get_status() for c in self._crawlers.values()], "kafka_lag": kafka_service.get_lag(), "running_count": sum(1 for c in self._crawlers.values() if c.is_running) } @property def is_any_running(self) -> bool: """是否有任务在运行""" return any(c.is_running for c in self._crawlers.values()) # 全局管理器实例 crawler_manager = CrawlerManager()