diff --git a/dev/workflow/TK_Cust/product_infer_list/泰克产品相关性分析/tk_product_prefer.py b/dev/workflow/TK_Cust/product_infer_list/泰克产品相关性分析/tk_product_prefer.py new file mode 100644 index 0000000..7c3cba9 --- /dev/null +++ b/dev/workflow/TK_Cust/product_infer_list/泰克产品相关性分析/tk_product_prefer.py @@ -0,0 +1,239 @@ +import requests +import json +import psycopg2 +from psycopg2.extras import RealDictCursor +import time +from typing import List, Dict, Any +import logging + +# 配置日志 +logging.basicConfig( + level=logging.INFO, + format='%(asctime)s - %(levelname)s - %(message)s' +) +logger = logging.getLogger(__name__) + +class APIClient: + """简化的API客户端类""" + + def __init__(self, api_url: str, auth_token: str): + self.api_url = api_url + self.headers = { + 'Authorization': auth_token, + 'Content-Type': 'application/json' + } + + def call_api_with_inputs(self, inputs: Dict[str, Any] = None, query: str = None) -> Dict[str, Any]: + """直接调用带inputs参数的API + + Args: + inputs: inputs参数字典 + + Returns: + API响应数据 + """ + payload = json.dumps({ + "inputs": inputs, + "query": query, + "response_mode": "blocking", + "user": "admin" + }) + + try: + logger.info("调用带inputs参数的API") + response = requests.post( + self.api_url, + headers=self.headers, + data=payload, + timeout=1200 + ) + + response.raise_for_status() + logger.info(f"API调用成功,状态码: {response.status_code}") + + return { + "success": True, + "status_code": response.status_code, + "data": response.json() + } + + except requests.exceptions.RequestException as e: + logger.error(f"API调用失败: {e}") + return { + "success": False, + "error": str(e) + } + + def call_api_without_inputs(self, other_params: Dict[str, Any] = None, query:str = None) -> Dict[str, Any]: + """直接调用不带inputs参数的API + + Args: + other_params: 其他参数字典 + + Returns: + API响应数据 + """ + payload = { + "inputs": {}, + "query": "", + "response_mode": "blocking", + "user": "admin" + } + + # 添加其他参数 + if other_params: + payload.update(other_params) + + try: + logger.info("调用不带inputs参数的API") + response = requests.post( + self.api_url, + headers=self.headers, + data=json.dumps(payload), + timeout=1200 + ) + + response.raise_for_status() + logger.info(f"API调用成功,状态码: {response.status_code}") + + return { + "success": True, + "status_code": response.status_code, + "data": response.json() + } + + except requests.exceptions.RequestException as e: + logger.error(f"API调用失败: {e}") + return { + "success": False, + "error": str(e) + } + +class DatabaseManager: + """数据库管理类""" + + def __init__(self, db_config: Dict[str, str]): + self.db_config = db_config + self.connection = None + + def connect(self): + """连接数据库""" + try: + self.connection = psycopg2.connect( + host=self.db_config.get('host', 'localhost'), + port=self.db_config.get('port', '5432'), + database=self.db_config.get('database', 'postgres'), + user=self.db_config.get('user', 'postgres'), + password=self.db_config.get('password', ''), + cursor_factory=RealDictCursor + ) + logger.info("数据库连接成功") + except Exception as e: + logger.error(f"数据库连接失败: {e}") + raise + + def disconnect(self): + """断开数据库连接""" + if self.connection: + self.connection.close() + logger.info("数据库连接已关闭") + + def get_urls_from_database(self, query: str = None) -> List[str]: + """从数据库获取URL列表""" + if not self.connection: + self.connect() + + # 默认查询语句,根据实际情况修改 + if query is None: + query = "SELECT 1" + + try: + with self.connection.cursor() as cursor: + cursor.execute(query) + results = cursor.fetchall() + + # 处理结果,返回字符串列表 + datas = [list(row.values())[0] for row in results] + return datas + + except Exception as e: + logger.error(f"查询数据库失败: {e}") + return [] +#DATABASE_URL=postgresql://dbuser_dba:EmBRxnmmjnE3@124.221.232.219:5432/daas_mpp +#DATABASE_SCHEMA=p70_ai_intelligence +def main(): + """主函数""" + # 数据库配置 + db_config = { + 'host': '124.221.232.219', + 'port': '5432', + 'database': 'daas_mpp', + 'user': 'dbuser_dba', + 'password': 'EmBRxnmmjnE3', + 'schema': 'p70_ai_intelligence' + } + + # API配置 + api_config = { + 'url': 'https://agent.idgvalue.com/v1/chat-messages', + 'auth_token': 'Bearer app-yAPAzkPbAaV8l1SuZBjXHTU4' + } + + api_client = APIClient(api_config['url'], api_config['auth_token']) + + try: + flag = True + + if flag: + # 初始化 + db_manager = DatabaseManager(db_config) + custom_query = """ select "客户名称" from p99_temp.tk_product_prefer_list """ + + try: + # 从数据库获取URL列表 + list = db_manager.get_urls_from_database(custom_query) + + if not list: + logger.warning("未获取到URL") + return + + # 遍历每个URL调用API + for i, text in enumerate(list, 1): + logger.info(f"处理第 {i}/{len(list)} 个数据: {text}") + + # 方法1: 使用带inputs参数的调用 + inputs_data = {} + + + result = api_client.call_api_with_inputs(inputs_data,query) + + if result['success']: + logger.info(f"URL {text} 处理成功") + else: + logger.error(f"URL {text} 处理失败: {result.get('error')}") + + # 可选:添加延迟避免请求过于频繁 + if i < len(text): + time.sleep(1) + except Exception as e: + logger.error(f"程序执行失败: {e}") + + finally: + db_manager.disconnect() + + else: + logger.info("调用不带inputs参数的API示例") + result2 = api_client.call_api_without_inputs() + + if result2['success']: + logger.info("不带inputs参数的API调用成功") + else: + logger.error(f"不带inputs参数的API调用失败: {result2.get('error')}") + + except Exception as e: + logger.error(f"初始化失败: {e}") + + + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/dev/workflow/TK_Cust/product_infer_list/泰克产品相关性分析/wf_dag_product_infer_list.py b/dev/workflow/TK_Cust/product_infer_list/泰克产品相关性分析/wf_dag_product_infer_list.py new file mode 100644 index 0000000..47e6220 --- /dev/null +++ b/dev/workflow/TK_Cust/product_infer_list/泰克产品相关性分析/wf_dag_product_infer_list.py @@ -0,0 +1,53 @@ +#!/usr/bin/python +# -*- encoding=utf-8 -*- +from airflow import DAG +from datetime import datetime, timedelta +from airflow.contrib.hooks.ssh_hook import SSHHook +from airflow.contrib.operators.ssh_operator import SSHOperator +from airflow.sensors.external_task_sensor import ExternalTaskSensor +import json + +from airflow.operators.trigger_dagrun import TriggerDagRunOperator +from airflow.operators.email_operator import EmailOperator +from airflow.utils.trigger_rule import TriggerRule + + +sshHook = SSHHook(ssh_conn_id ='ssh_air') +default_args = { +'owner': 'tek_newsletter@163.com', +'email_on_failure': True, +'email_on_retry':True, +'start_date': datetime(2024, 1, 1), +'depends_on_past': False, +'retries': 6, +'retry_delay': timedelta(minutes=10), +} + +dag = DAG('wf_dag_product_infer_list', default_args=default_args, +schedule=None, +catchup=False, +dagrun_timeout=timedelta(minutes=160), +max_active_runs=3, +tags=['64cbd1bbced14209b5e3a879f89e8ab1','TK_Cust','泰克产品相关性分析'] +) + +task_failed = EmailOperator ( + dag=dag, + trigger_rule=TriggerRule.ONE_FAILED, + task_id="task_failed", + to=["tek_newsletter@163.com"], + cc=[""], + subject="product_infer_list_failed", + html_content='

您好,product_infer_list作业失败,请及时处理"

') + + +tk_product_prefer = SSHOperator( +ssh_hook=sshHook, +task_id='tk_product_prefer', +command='cd /data/airflow/etl/agents && python tk_product_prefer.py', +params={'my_param':"tk_product_prefer"}, +depends_on_past=False, +retries=1, +dag=dag) + +tk_product_prefer >> task_failed