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+import uvicorn
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+import time
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+import threading
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+import argparse
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+from fastapi import FastAPI, BackgroundTasks
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+from pydantic import BaseModel
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+from typing import Dict, Optional, List
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+import psutil
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+import os
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+
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+# 初始化FastAPI应用
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+app = FastAPI(title="Python解析服务", version="1.0")
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+
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+# 存储任务状态：key=task_id, value={status, progress, result, error}
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+task_status: Dict[str, dict] = {}
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+# 存储服务状态
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+service_status = {
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+ "status": "running",
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+ "pid": os.getpid(),
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+ "start_time": time.time()
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+}
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+# 锁机制，保证多线程安全
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+task_lock = threading.Lock()
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+
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+# 任务请求模型
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+class ParseTask(BaseModel):
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+ task_id: str
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+ file_path: str
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+ parse_params: Optional[Dict] = None # 解析参数，如解析类型、阈值等
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+
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+# ------------------------------
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+# 核心解析逻辑（模拟真实解析器调用）
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+# ------------------------------
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+def parse_task_worker(task_id: str, file_path: str, parse_params: Dict):
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+ """
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+ 后台解析任务执行函数
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+ """
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+ try:
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+ with task_lock:
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+ task_status[task_id] = {
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+ "status": "running",
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+ "progress": 0,
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+ "result": None,
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+ "error": None
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+ }
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+
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+ # 模拟解析过程（实际场景替换为真实解析器调用）
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+ total_steps = 10
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+ for step in range(total_steps):
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+ time.sleep(1) # 模拟解析耗时
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+ progress = (step + 1) * 10
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+ with task_lock:
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+ task_status[task_id]["progress"] = progress
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+
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+ # 解析完成，模拟返回结果
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+ with task_lock:
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+ task_status[task_id]["status"] = "completed"
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+ task_status[task_id]["result"] = {
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+ "file_path": file_path,
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+ "parse_result": "解析成功（模拟结果）",
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+ "parse_params": parse_params,
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+ "finish_time": time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
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+ }
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+
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+ except Exception as e:
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+ with task_lock:
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+ task_status[task_id]["status"] = "failed"
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+ task_status[task_id]["error"] = str(e)
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+
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+# ------------------------------
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+# 接口定义
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+# ------------------------------
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+@app.post("/execute", summary="接收解析任务并执行")
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+async def execute_task(task: ParseTask, background_tasks: BackgroundTasks):
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+ """
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+ 接收Java端下发的解析任务，后台异步执行
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+ """
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+ # 检查任务ID是否已存在
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+ if task.task_id in task_status:
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+ return {
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+ "code": 400,
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+ "msg": f"任务ID {task.task_id} 已存在",
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+ "data": None
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+ }
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+
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+ # 提交后台任务执行
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+ background_tasks.add_task(parse_task_worker, task.task_id, task.file_path, task.parse_params)
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+
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+ return {
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+ "code": 200,
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+ "msg": "任务接收成功，已开始执行",
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+ "data": {"task_id": task.task_id}
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+ }
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+
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+@app.get("/status/{task_id}", summary="查询指定任务状态")
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+async def get_task_status(task_id: str):
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+ """
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+ 查询单个任务的执行状态、进度、结果
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+ """
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+ if task_id not in task_status:
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+ return {
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+ "code": 404,
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+ "msg": f"任务ID {task_id} 不存在",
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+ "data": None
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+ }
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+
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+ return {
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+ "code": 200,
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+ "msg": "查询成功",
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+ "data": task_status[task_id]
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+ }
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+
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+
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+@app.get("/status", summary="状态接口")
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+async def health_check():
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+ """
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+ 返回实例健康状态、资源使用情况
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+ """
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+ cpu_usage = psutil.cpu_percent(interval=1)
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+
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+ # 内存信息
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+ memory = psutil.virtual_memory()
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+ memory_usage = memory.percent
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+
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+ return {
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+ "code": 200,
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+ "msg": "success",
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+ "data": {
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+ "status": 0,
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+ "cpu_usage": cpu_usage,
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+ "gpu_usage": 0.0,
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+ "memory_usage": memory_usage,
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+ "gpu_memory": 0.0
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+ }
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+}
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+
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+
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+@app.get("/shutdown", summary="优雅关闭服务（供Java端终结实例调用）")
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+async def shutdown_service():
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+ """
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+ 优雅关闭服务，清理资源
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+ """
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+ service_status["status"] = "stopping"
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+ # 可添加清理逻辑：如保存未完成任务、关闭解析器连接等
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+ return {
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+ "code": 200,
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+ "msg": "服务开始优雅关闭",
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+ "data": None
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+ }
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+
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+# ------------------------------
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+# 启动入口
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+# ------------------------------
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+def main():
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+ parser = argparse.ArgumentParser(description="Python解析服务启动参数")
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+ parser.add_argument("--host", default="0.0.0.0", help="服务监听地址")
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+ parser.add_argument("--port", type=int, default=8000, help="服务监听端口")
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+ args = parser.parse_args()
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+
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+ # 启动FastAPI服务
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+ uvicorn.run(
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+ "parse_service:app",
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+ host=args.host,
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+ port=args.port,
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+ reload=False, # 生产环境关闭热重载
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+ workers=1 # 单进程运行，避免任务状态共享问题
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+ )
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+
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+if __name__ == "__main__":
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+ main()
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