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