增加执行外部api的定时任务
This commit is contained in:
mark.tian
51
app/api_config.py
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51
app/api_config.py
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@@ -0,0 +1,51 @@
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"""API接口配置文件"""
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# API配置
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API_CONFIG = {
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# 关闭清洗任务
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'task_01': {
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'url': 'http://agent-api.ai.telrobot.top/agent-api/new/user/8f6bae44-e02a-4393-a6cf-adb861bf7d8c/task_start/a3bdd5b6-1932-4bc9-95bf-dbc4bccb171f',
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'method': 'PUT',
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'headers': {
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'Content-Type': 'application/json',
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'User-Agent': 'Celery-Task/1.0',
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'Authorization': 'Bearer eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJhdWQiOiIxIiwianRpIjoiMTY4ZGY2NTNlNzBlMTlmNjlmMjQ1ODBmNTUxMzljNGQyODlkN2FiNWY0MmZhOGMxNzE0Y2Y4OTI5NjYxYjE1NGU0N2QyNzAyY2VmNTZiY2IiLCJpYXQiOjE3NjEwMDk4MDYsIm5iZiI6MTc2MTAwOTgwNiwiZXhwIjoxNzkyNTQ1ODA2LCJzdWIiOiIxMzQ1ZGY3MS1hZTdlLTRjMmYtYWIzMS1mMjhmODE2OTY2ODEiLCJzY29wZXMiOltdfQ.oAoKOmpo6-KBjLPh7p1YIQbtzQAB11xrooQon8ekj8rK8RC5UpsW79hrhG2dOZY2ZY4OURlYTD-rI5UDeXtNIlSyF1Rf1s1d-mOw4Tgrq8pPDh5oIvi1mKuWZWj2E-a8HUp2Eg3c2Hx56rTv9G4xCSCUm6fWghTdpa7gJQZgtBOWowuAad0ErsvrlO4R7CotFfVG4-hTZEK7eZOJIQHX2e-tfeHbRDm2Qoou9uwNl-3_LDpfyqrXbUrF-Rtlqq0aOoSV9HDJfR0YSFzk6uj0yVNt00G_7EdvpUveqd1xDQWy9qaJzxn771QE0M6aNiFCXYzAq8F9AJAvEl92U8xfsvM24xLBAcjR_FxOQordNeLn_xtDW9-fcNlNfV-ngf_BWpNsjFFT9T3QAjcXkiWP1eoE7x69NWJDYAqKKInSF8-5-md5wsMDm80VZYcB4BOrC2t7LaZhlziErib_4SW21DvKdrdAhIVZDHFqcWITMYSIddG52f7VA1jKqkssMKHfvaWDtefbzFUjhp-45C3rN7oiQ9sDgaye3VjFrLE0tFIOdXhFUcgn98G5SxVR9Rs72sccOxuYTdZwey0DZxX6uzwlLigi4-Zt0LQOW4TSRgfu9NtuYjzR_MqWoJatcu_3X1Lhc5OwIyTsms8rkz0JogjbF-4jodhSzXuhBrp--iA'
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},
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'timeout': 30,
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'body': {
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}
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},
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# Ice跟进
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'task_01': {
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'url': 'http://agent-api.ai.telrobot.top/agent-api/new/user/8f6bae44-e02a-4393-a6cf-adb861bf7d8c/task_start/db17ba5f-666a-4dc0-a635-1d4d0059338d',
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'method': 'PUT',
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'headers': {
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'Content-Type': 'application/json',
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'User-Agent': 'Celery-Task/1.0',
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'Authorization': 'Bearer eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJhdWQiOiIxIiwianRpIjoiMTY4ZGY2NTNlNzBlMTlmNjlmMjQ1ODBmNTUxMzljNGQyODlkN2FiNWY0MmZhOGMxNzE0Y2Y4OTI5NjYxYjE1NGU0N2QyNzAyY2VmNTZiY2IiLCJpYXQiOjE3NjEwMDk4MDYsIm5iZiI6MTc2MTAwOTgwNiwiZXhwIjoxNzkyNTQ1ODA2LCJzdWIiOiIxMzQ1ZGY3MS1hZTdlLTRjMmYtYWIzMS1mMjhmODE2OTY2ODEiLCJzY29wZXMiOltdfQ.oAoKOmpo6-KBjLPh7p1YIQbtzQAB11xrooQon8ekj8rK8RC5UpsW79hrhG2dOZY2ZY4OURlYTD-rI5UDeXtNIlSyF1Rf1s1d-mOw4Tgrq8pPDh5oIvi1mKuWZWj2E-a8HUp2Eg3c2Hx56rTv9G4xCSCUm6fWghTdpa7gJQZgtBOWowuAad0ErsvrlO4R7CotFfVG4-hTZEK7eZOJIQHX2e-tfeHbRDm2Qoou9uwNl-3_LDpfyqrXbUrF-Rtlqq0aOoSV9HDJfR0YSFzk6uj0yVNt00G_7EdvpUveqd1xDQWy9qaJzxn771QE0M6aNiFCXYzAq8F9AJAvEl92U8xfsvM24xLBAcjR_FxOQordNeLn_xtDW9-fcNlNfV-ngf_BWpNsjFFT9T3QAjcXkiWP1eoE7x69NWJDYAqKKInSF8-5-md5wsMDm80VZYcB4BOrC2t7LaZhlziErib_4SW21DvKdrdAhIVZDHFqcWITMYSIddG52f7VA1jKqkssMKHfvaWDtefbzFUjhp-45C3rN7oiQ9sDgaye3VjFrLE0tFIOdXhFUcgn98G5SxVR9Rs72sccOxuYTdZwey0DZxX6uzwlLigi4-Zt0LQOW4TSRgfu9NtuYjzR_MqWoJatcu_3X1Lhc5OwIyTsms8rkz0JogjbF-4jodhSzXuhBrp--iA'
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},
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'timeout': 30,
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'body': {
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}
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},
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# 战败清洗跟进
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'task_01': {
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'url': 'http://agent-api.ai.telrobot.top/agent-api/new/user/8f6bae44-e02a-4393-a6cf-adb861bf7d8c/task_start/2121d91e-c7d8-47cf-8a67-fa2f22e087ae',
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'method': 'PUT',
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'headers': {
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'Content-Type': 'application/json',
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'User-Agent': 'Celery-Task/1.0',
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'Authorization': 'Bearer eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiJ9.eyJhdWQiOiIxIiwianRpIjoiMTY4ZGY2NTNlNzBlMTlmNjlmMjQ1ODBmNTUxMzljNGQyODlkN2FiNWY0MmZhOGMxNzE0Y2Y4OTI5NjYxYjE1NGU0N2QyNzAyY2VmNTZiY2IiLCJpYXQiOjE3NjEwMDk4MDYsIm5iZiI6MTc2MTAwOTgwNiwiZXhwIjoxNzkyNTQ1ODA2LCJzdWIiOiIxMzQ1ZGY3MS1hZTdlLTRjMmYtYWIzMS1mMjhmODE2OTY2ODEiLCJzY29wZXMiOltdfQ.oAoKOmpo6-KBjLPh7p1YIQbtzQAB11xrooQon8ekj8rK8RC5UpsW79hrhG2dOZY2ZY4OURlYTD-rI5UDeXtNIlSyF1Rf1s1d-mOw4Tgrq8pPDh5oIvi1mKuWZWj2E-a8HUp2Eg3c2Hx56rTv9G4xCSCUm6fWghTdpa7gJQZgtBOWowuAad0ErsvrlO4R7CotFfVG4-hTZEK7eZOJIQHX2e-tfeHbRDm2Qoou9uwNl-3_LDpfyqrXbUrF-Rtlqq0aOoSV9HDJfR0YSFzk6uj0yVNt00G_7EdvpUveqd1xDQWy9qaJzxn771QE0M6aNiFCXYzAq8F9AJAvEl92U8xfsvM24xLBAcjR_FxOQordNeLn_xtDW9-fcNlNfV-ngf_BWpNsjFFT9T3QAjcXkiWP1eoE7x69NWJDYAqKKInSF8-5-md5wsMDm80VZYcB4BOrC2t7LaZhlziErib_4SW21DvKdrdAhIVZDHFqcWITMYSIddG52f7VA1jKqkssMKHfvaWDtefbzFUjhp-45C3rN7oiQ9sDgaye3VjFrLE0tFIOdXhFUcgn98G5SxVR9Rs72sccOxuYTdZwey0DZxX6uzwlLigi4-Zt0LQOW4TSRgfu9NtuYjzR_MqWoJatcu_3X1Lhc5OwIyTsms8rkz0JogjbF-4jodhSzXuhBrp--iA'
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},
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'timeout': 30,
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'body': {
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}
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}
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}
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# 重试配置
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RETRY_CONFIG = {
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'max_retries': 3,
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'retry_delay': 60, # 重试间隔（秒）
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'retry_on_status': [500, 502, 503, 504, 429]
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}
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@@ -34,6 +34,10 @@ celery_app.conf.update(
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'task': 'push_data_to_dtc',
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'schedule': 60.0, # 每60秒执行一次（1分钟）
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},
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'daily-morning-task': {
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'task': 'call_api',
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'schedule': '120.0'
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},
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},
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)
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@@ -2,6 +2,8 @@
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Celery任务定义
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"""
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from datetime import datetime
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from functools import wraps
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from sqlalchemy import create_engine
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import json
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from app.celery_app import celery_app
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@@ -15,9 +17,22 @@ from app.callback_service import (
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get_related_records_by_unique_data_list
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)
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from app.redis_lock import redis_manager
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import requests
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from app.api_config import API_CONFIG, RETRY_CONFIG
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logger = get_celery_tasks_logger()
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def conditional_task(enabled=True):
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def decorator(task_func):
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@wraps(task_func)
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def wrapper(*args, **kwargs):
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if not enabled:
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logger.info(f"Task {task_func.__name__} is disabled")
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return None
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return task_func(*args, **kwargs)
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return wrapper
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return decorator
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# 创建同步数据库连接用于Celery任务
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engine = create_engine(
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settings.database_url,
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@@ -26,6 +41,7 @@ engine = create_engine(
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)
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@celery_app.task(bind=True, name='push_data_to_dtc')
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@conditional_task(enabled=settings.task_enabled)
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def push_data_to_dtc_task(self):
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"""
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推送数据给DTC的Celery任务
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@@ -204,3 +220,125 @@ def push_data_to_dtc_task(self):
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except Exception as e:
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logger.error(f"❌ 释放任务 {task_name} 的分布式锁失败: {e}")
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@celery_app.task(bind=True, name='call_api', max_retries=None)
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def execute_call_api_task(self):
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"""遍历API配置文件中的所有API信息并调用接口"""
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current_time = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
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logger.info(f"开始遍历API配置文件执行调用任务 - 当前时间: {current_time}")
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# 获取重试配置
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max_retries = RETRY_CONFIG['max_retries']
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retry_delay = RETRY_CONFIG['retry_delay']
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retry_on_status = RETRY_CONFIG['retry_on_status']
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# 遍历所有API信息
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results = []
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success_count = 0
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for api_key, call_config in API_CONFIG.items():
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logger.info(f"开始处理API配置: {api_key}")
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call_url = call_config['url']
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method = call_config['method'].upper()
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headers = call_config['headers']
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timeout = call_config['timeout']
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payload = call_config['body']
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try:
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logger.info(f"正在调用任务API: {method} {call_url}")
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# 根据method选择请求方式
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if method == 'POST':
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response = requests.post(call_url, headers=headers, json=payload, timeout=timeout)
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elif method == 'GET':
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response = requests.get(call_url, headers=headers, params=payload, timeout=timeout)
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elif method == 'PUT':
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response = requests.put(call_url, headers=headers, json=payload, timeout=timeout)
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elif method == 'DELETE':
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response = requests.delete(call_url, headers=headers, timeout=timeout)
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else:
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raise ValueError(f"不支持的HTTP方法: {method}")
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# 检查响应状态
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if response.status_code in [200, 201, 204]: # 成功状态码
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try:
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result_data = response.json()
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except:
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result_data = {'response': response.text}
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logger.info(f"任务API调用成功，响应数据: {result_data}")
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print(f"[{current_time}] ✅ 任务API成功 ({api_key}) - {method} {call_url}")
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success_count += 1
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results.append({
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'call_api_key': api_key,
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'status': 'success',
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'message': f'任务API调用成功 ({method})',
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'response': result_data,
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'timestamp': current_time,
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'retry_count': getattr(self.request, 'retries', 0)
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})
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elif response.status_code in retry_on_status:
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# 需要重试的状态码
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current_retry = getattr(self.request, 'retries', 0)
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if current_retry < max_retries:
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logger.warning(f"任务API需要重试，当前重试次数: {current_retry + 1}/{max_retries}")
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print(f"[{current_time}] 🔄 任务API失败，正在重试 ({current_retry + 1}/{max_retries}) - {api_key} - 状态码: {response.status_code}")
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raise self.retry(countdown=retry_delay, exc=Exception(f"任务API失败，状态码: {response.status_code}"))
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else:
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logger.error(f"任务API失败，已达到最大重试次数: {max_retries}")
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print(f"[{current_time}] ❌ 任务API失败，已达到最大重试次数 - {api_key} - 状态码: {response.status_code}")
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results.append({
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'call_api_key': api_key,
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'status': 'failed',
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'message': f'任务API失败，已达到最大重试次数: {max_retries}',
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'response': response.text,
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'timestamp': current_time,
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'retry_count': current_retry + 1
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})
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else:
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# 其他失败状态码，不重试
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logger.error(f"任务API失败，状态码: {response.status_code}, 响应: {response.text}")
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print(f"[{current_time}] ❌ 任务API失败 - {api_key} - 状态码: {response.status_code}")
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results.append({
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'call_api_key': api_key,
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'status': 'failed',
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'message': f'任务API失败，状态码: {response.status_code}',
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'response': response.text,
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'timestamp': current_time,
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'retry_count': getattr(self.request, 'retries', 0)
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})
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except requests.exceptions.RequestException as e:
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# 网络异常，需要重试
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current_retry = getattr(self.request, 'retries', 0)
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if current_retry < max_retries:
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logger.warning(f"任务API异常，需要重试，当前重试次数: {current_retry + 1}/{max_retries}")
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print(f"[{current_time}] 🔄 任务API异常，正在重试 ({current_retry + 1}/{max_retries}) - {api_key} - 异常: {str(e)}")
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raise self.retry(countdown=retry_delay, exc=e)
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else:
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logger.error(f"任务API异常，已达到最大重试次数: {max_retries}")
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print(f"[{current_time}] ❌ 任务API异常，已达到最大重试次数 - {api_key} - 异常: {str(e)}")
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results.append({
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'call_api_key': api_key,
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'status': 'error',
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'message': f'任务API异常，已达到最大重试次数: {max_retries}',
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'error': str(e),
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'timestamp': current_time,
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'retry_count': current_retry + 1
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})
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# 汇总结果
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total_count = len(results)
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logger.info(f"遍历API配置文件完成 - 成功: {success_count}/{total_count}")
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print(f"[{current_time}] 📊 任务汇总 - 成功: {success_count}/{total_count}")
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return {
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'status': 'completed',
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'total_apis': total_count,
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'success_count': success_count,
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'failed_count': total_count - success_count,
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'results': results,
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'timestamp': current_time
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}
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@@ -1,6 +1,5 @@
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from pydantic_settings import BaseSettings
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class Settings(BaseSettings):
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@property
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def redis_url(self) -> str:
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@@ -19,6 +18,9 @@ class Settings(BaseSettings):
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celery_timezone: str = "Asia/Shanghai"
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celery_enable_utc: bool = False
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# 任务配置
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task_enabled: bool = False # 是否启用任务
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# Flower监控配置
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flower_enabled: bool = True # 是否启用Flower监控
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flower_url: str = "http://localhost:5555" # Flower访问URL
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