163 lines
5.2 KiB
Python
163 lines
5.2 KiB
Python
import requests
|
||
import time
|
||
import logging
|
||
|
||
# 配置日志
|
||
handlers = [logging.FileHandler('query_processor.log'), logging.StreamHandler()]
|
||
logging.basicConfig(
|
||
level=logging.INFO,
|
||
format='%(asctime)s - %(levelname)s - %(message)s',
|
||
handlers=handlers
|
||
)
|
||
logger = logging.getLogger(__name__)
|
||
|
||
# API基础URL
|
||
BASE_URL = 'http://localhost:99'
|
||
|
||
# 演示数据处理函数
|
||
def process_query_data(query_data, parameters):
|
||
"""
|
||
处理查询数据的演示函数
|
||
这里使用演示代码代替实际的数据处理逻辑
|
||
"""
|
||
# 获取用户ID,如果存在
|
||
user_id = query_data.get('user_id', '未知')
|
||
logger.info(f"处理查询数据: ID={query_data['id']}, 车牌号={query_data['plate_number']}, 用户ID={user_id}")
|
||
|
||
# 这里是演示处理逻辑
|
||
# 在实际应用中,这里应该是真实的数据处理代码
|
||
logger.info(f"使用参数进行处理: {parameters}")
|
||
|
||
# 模拟处理过程
|
||
time.sleep(2) # 模拟处理耗时
|
||
|
||
# 返回模拟的处理结果(简单地将results_count设置为随机数1-5)
|
||
# 实际应用中,应该根据真实处理结果返回相应的值
|
||
results_count = 3 # 演示用的固定结果数
|
||
logger.info(f"处理完成,结果数量: {results_count}")
|
||
|
||
return results_count
|
||
|
||
# 读取参数配置
|
||
def get_parameters():
|
||
"""
|
||
从后端API读取参数配置
|
||
"""
|
||
try:
|
||
url = f'{BASE_URL}/api/parameters'
|
||
response = requests.get(url)
|
||
response.raise_for_status()
|
||
data = response.json()
|
||
|
||
if data['success']:
|
||
logger.info(f"成功获取参数配置: {data['data']}")
|
||
return data['data']
|
||
else:
|
||
logger.error(f"获取参数配置失败: {data['error']}")
|
||
return None
|
||
except Exception as e:
|
||
logger.error(f"获取参数配置时发生错误: {str(e)}")
|
||
return None
|
||
|
||
# 获取待处理查询
|
||
def get_pending_queries():
|
||
"""
|
||
从后端API获取待处理查询
|
||
"""
|
||
try:
|
||
url = f'{BASE_URL}/api/pending-queries'
|
||
response = requests.get(url)
|
||
response.raise_for_status()
|
||
data = response.json()
|
||
|
||
if data['success']:
|
||
logger.info(f"成功获取待处理查询,共 {data['count']} 条")
|
||
return data['data']
|
||
else:
|
||
logger.error(f"获取待处理查询失败: {data['error']}")
|
||
return []
|
||
except Exception as e:
|
||
logger.error(f"获取待处理查询时发生错误: {str(e)}")
|
||
return []
|
||
|
||
# 更新查询结果
|
||
def update_query_result(query_id, results_count):
|
||
"""
|
||
更新查询结果到后端API
|
||
"""
|
||
try:
|
||
url = f'{BASE_URL}/api/update-query-result'
|
||
data = {
|
||
'id': query_id,
|
||
'results_count': results_count
|
||
}
|
||
|
||
response = requests.post(url, json=data)
|
||
response.raise_for_status()
|
||
result = response.json()
|
||
|
||
if result['success']:
|
||
logger.info(f"成功更新查询结果: ID={query_id}, 结果数量={results_count}")
|
||
return True
|
||
else:
|
||
logger.error(f"更新查询结果失败: {result['error']}")
|
||
return False
|
||
except Exception as e:
|
||
logger.error(f"更新查询结果时发生错误: {str(e)}")
|
||
return False
|
||
|
||
# 主处理函数
|
||
def main():
|
||
logger.info("查询处理代码启动")
|
||
|
||
# 获取参数配置
|
||
parameters = get_parameters()
|
||
if not parameters:
|
||
logger.warning("无法获取参数配置,使用默认参数继续")
|
||
# 使用默认参数继续
|
||
parameters = {
|
||
'param1': 'default1',
|
||
'param2': 'default2',
|
||
'param3': 'default3',
|
||
'param4': 'default4',
|
||
'param5': 'default5'
|
||
}
|
||
|
||
# 主循环
|
||
while True:
|
||
try:
|
||
# 获取待处理查询
|
||
pending_queries = get_pending_queries()
|
||
|
||
# 处理每条查询
|
||
for query in pending_queries:
|
||
# 处理查询数据
|
||
results_count = process_query_data(query, parameters)
|
||
|
||
# 更新查询结果
|
||
update_query_result(query['id'], results_count)
|
||
|
||
# 等待一段时间后再次检查
|
||
wait_time = 60 # 默认等待60秒
|
||
# 如果有parameters参数,可以根据参数调整等待时间
|
||
if parameters and 'polling_interval' in parameters:
|
||
try:
|
||
wait_time = int(parameters['polling_interval'])
|
||
except (ValueError, TypeError):
|
||
logger.warning(f"无效的轮询间隔参数: {parameters['polling_interval']}")
|
||
|
||
logger.info(f"本次处理完成,等待 {wait_time} 秒后再次检查")
|
||
time.sleep(wait_time)
|
||
|
||
except KeyboardInterrupt:
|
||
logger.info("查询处理器被用户中断")
|
||
break
|
||
except Exception as e:
|
||
logger.error(f"处理过程中发生错误: {str(e)}")
|
||
# 发生错误时,等待更短的时间后重试
|
||
time.sleep(30)
|
||
|
||
logger.info("查询处理器停止")
|
||
|
||
if __name__ == '__main__':
|
||
main() |