From 5033b5f97e2d9ce5299bbf3c11255ec369c2ffb8 Mon Sep 17 00:00:00 2001 From: User Date: Thu, 2 Apr 2026 15:05:06 +0800 Subject: [PATCH] Initial commit - Add mymath.py with multiply and divide functions - Add SmartVoyage travel assistant project - Add .gitignore for Python cache files Co-Authored-By: Claude Opus 4.6 --- .gitignore | 5 + SmartVoyage/a2a_server/order_server.py | 139 ++++++++ SmartVoyage/a2a_server/ticket_server.py | 273 ++++++++++++++++ SmartVoyage/a2a_server/weather_server.py | 214 +++++++++++++ SmartVoyage/config.py | 26 ++ SmartVoyage/create_logger.py | 36 +++ SmartVoyage/main.py | 54 ++++ SmartVoyage/main_prompts.py | 81 +++++ SmartVoyage/mcp_server/mcp_order_server.py | 81 +++++ SmartVoyage/mcp_server/mcp_ticket_server.py | 77 +++++ SmartVoyage/mcp_server/mcp_weather_server.py | 72 +++++ SmartVoyage/mcp_server/practice_mcp.py | 34 ++ .../sql/concert_tickets_202601251131.csv | 121 +++++++ SmartVoyage/sql/create_table.sql | 87 +++++ .../sql/flight_tickets_202601251131.csv | 121 +++++++ SmartVoyage/sql/insert_data.sql | 28 ++ .../sql/train_tickets_202601251131.csv | 121 +++++++ SmartVoyage/sql/weather_data_202601251130.csv | 297 ++++++++++++++++++ SmartVoyage/test/hf_test.py | 20 ++ SmartVoyage/test/test_order_mcp_server.py | 66 ++++ SmartVoyage/test/test_ticket_agent_server.py | 91 ++++++ SmartVoyage/test/test_ticket_mcp_server.py | 53 ++++ SmartVoyage/test/test_weather_agent_server.py | 93 ++++++ SmartVoyage/test/test_weather_mcp_server.py | 45 +++ SmartVoyage/utils/format.py | 38 +++ SmartVoyage/utils/spider_weather.py | 240 ++++++++++++++ mymath.py | 72 +++++ 27 files changed, 2585 insertions(+) create mode 100644 .gitignore create mode 100644 SmartVoyage/a2a_server/order_server.py create mode 100644 SmartVoyage/a2a_server/ticket_server.py create mode 100644 SmartVoyage/a2a_server/weather_server.py create mode 100644 SmartVoyage/config.py create mode 100644 SmartVoyage/create_logger.py create mode 100644 SmartVoyage/main.py create mode 100644 SmartVoyage/main_prompts.py create mode 100644 SmartVoyage/mcp_server/mcp_order_server.py create mode 100644 SmartVoyage/mcp_server/mcp_ticket_server.py create mode 100644 SmartVoyage/mcp_server/mcp_weather_server.py create mode 100644 SmartVoyage/mcp_server/practice_mcp.py create mode 100644 SmartVoyage/sql/concert_tickets_202601251131.csv create mode 100644 SmartVoyage/sql/create_table.sql create mode 100644 SmartVoyage/sql/flight_tickets_202601251131.csv create mode 100644 SmartVoyage/sql/insert_data.sql create mode 100644 SmartVoyage/sql/train_tickets_202601251131.csv create mode 100644 SmartVoyage/sql/weather_data_202601251130.csv create mode 100644 SmartVoyage/test/hf_test.py create mode 100644 SmartVoyage/test/test_order_mcp_server.py create mode 100644 SmartVoyage/test/test_ticket_agent_server.py create mode 100644 SmartVoyage/test/test_ticket_mcp_server.py create mode 100644 SmartVoyage/test/test_weather_agent_server.py create mode 100644 SmartVoyage/test/test_weather_mcp_server.py create mode 100644 SmartVoyage/utils/format.py create mode 100644 SmartVoyage/utils/spider_weather.py create mode 100644 mymath.py diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..e3ed756 --- /dev/null +++ b/.gitignore @@ -0,0 +1,5 @@ +__pycache__/ +*.pyc +.idea/ +logs/ +*.log \ No newline at end of file diff --git a/SmartVoyage/a2a_server/order_server.py b/SmartVoyage/a2a_server/order_server.py new file mode 100644 index 0000000..bcc68e9 --- /dev/null +++ b/SmartVoyage/a2a_server/order_server.py @@ -0,0 +1,139 @@ +import asyncio +import uuid +from platform import system + +from langchain_openai import ChatOpenAI +from mcp import ClientSession +from mcp.client.streamable_http import streamablehttp_client +from langchain_mcp_adapters.tools import load_mcp_tools +from langchain.agents import create_tool_calling_agent, AgentExecutor +from langchain_core.prompts import ChatPromptTemplate +from python_a2a import AgentCard, AgentSkill, run_server, TaskStatus, TaskState, A2AServer, A2AClient, Message, \ + TextContent, MessageRole, Task + +from SmartVoyage.create_logger import logger +from SmartVoyage.config import Config + +conf = Config() + +# 初始化LLM +llm = ChatOpenAI( + model=conf.model_name, + base_url=conf.base_url, + api_key=conf.api_key, + temperature=0.1 +) +async def order_tickets(query): + try: + async with streamablehttp_client('http://127.0.0.1:8003/mcp') as (read,write,_): + async with ClientSession(read,write) as session: + try: + await session.initialize() + tools=await load_mcp_tools(session) + + prompt=ChatPromptTemplate.from_messages([ + ( 'system', + "你是一个票务预定助手，能够调用工具来完成火车票、飞机票或演出票的预定你需要仔细分析工具需要的参数，然后从用户提供的信息中提取信息。如果用户提供的信息不足以提取到调用工具所有必要参数，则向用户追问，以获取该信息。不能自己编撰参数。"), + ('human','{input}'), + ('placeholder','{agent_scratchpad}'), + ]) + agent=create_tool_calling_agent(llm,tools,prompt) + agent_executor=AgentExecutor(agent=agent,tools=tools,verbose=True) + response = await agent_executor.ainvoke({"input": query}) + + return {"status": "success", "message": f"{response['output']}"} + + except Exception as e: + logger.error(f"票务 MCP 测试出错：{str(e)}") + return {"status": "error", "message": f"票务 MCP 查询出错：{str(e)}"} + except Exception as e: + logger.error(f"连接或会话初始化时发生错误: {e}") + return {"status": "error", "message": "连接或会话初始化时发生错误"} +# Agent 卡片定义 +agent_card = AgentCard( + name="TicketOrderAssistant", + description="通过MCP提供票务预定服务的助手", + url="http://localhost:5007", + version="1.0.4", + capabilities={"streaming": True, "memory": True}, + skills=[ + AgentSkill( + name="execute ticket order", + description="根据客户端提供的输入执行票务预定，返回执行结果", + examples=["北京 到 上海 2025-11-15 火车票 二等座 1张", + "上海 到 北京 2025-12-11 飞机票 公务舱 2张"] + ) + ] +) +class TicketOrderServer(A2AServer): + def __init__(self): + super().__init__(agent_card=agent_card) + self.llm = llm + self.ticket_client = A2AClient("http://localhost:5006") + + # 处理任务：提取输入，查询余票，调用MCP，结果输出 + def handle_task(self, task): + # 1 提取输入 + content = (task.message or {}).get("content", {}) # 从消息中获取内容 + # 提取conversation，即客户端发起的任务中的query语句 + conversation = content.get("text", "") if isinstance(content, dict) else "" + logger.info(f"对话历史及用户问题: {conversation}") + + try: + # 2 调用票务查询agent查询余票 + message_ticket = Message(content=TextContent(text=conversation), role=MessageRole.USER) + task_ticket = Task(id="task-" + str(uuid.uuid4()), message=message_ticket.to_dict()) + + # 发送任务并获取最终结果 + ticket_result_task = asyncio.run(self.ticket_client.send_task_async(task_ticket)) + logger.info(f"原始响应: {ticket_result_task}") + + # 处理结果：未查到余票信息时，则返回提示信息 + if ticket_result_task.status.state != 'completed': + required_message = ticket_result_task.status.message['content']['text'] + logger.info(f'余票未查到：{required_message}') + task.status = TaskStatus(state=TaskState.INPUT_REQUIRED, + message={"role": "agent", "content": {"text": required_message}}) + return task + # 处理结果：查到余票信息时，进行订票 + ticket_result = ticket_result_task.artifacts[0]["parts"][0]["text"] + logger.info(f"余票信息: {ticket_result}") + + # 3 调用MCP订票 + order_result = asyncio.run(order_tickets(conversation + '\n余票信息：' + ticket_result)) + logger.info(f"MCP 返回: {order_result}") + + # 4 结果输出 + data = order_result.get("message", '') + logger.info(f"订票结果: {data}") + # 检查响应状态 + if order_result.get("status") == "success": + result = '余票信息：' + ticket_result + '\n订票结果：' + data + # 设置任务产物为文本部分，并设置任务状态为完成 + task.artifacts = [{"parts": [{"type": "text", "text": result}]}] + task.status = TaskStatus(state=TaskState.COMPLETED) + else: + # 设置任务状态为失败，添加错误信息 + task.status = TaskStatus(state=TaskState.FAILED, + message={"role": "agent", "content": {"text": data}}) + return task + except Exception as e: # 捕获异常 + logger.error(f"查询失败: {str(e)}") + + # 设置任务状态为失败，添加错误信息 + task.status = TaskStatus(state=TaskState.FAILED, + message={"role": "agent", "content": {"text": f"查询失败: {str(e)} 请重试或提供更多细节。"}}) + return task +if __name__ == "__main__": + # 创建并运行服务器 + # 实例化票务查询服务器 + ticket_server = TicketOrderServer() + # 打印服务器信息 + print("\n=== 服务器信息 ===") + print(f"名称: {ticket_server.agent_card.name}") + print(f"描述: {ticket_server.agent_card.description}") + print("\n技能:") + for skill in ticket_server.agent_card.skills: + print(f"- {skill.name}: {skill.description}") + # 运行服务器 + run_server(ticket_server, host="127.0.0.1", port=5007) diff --git a/SmartVoyage/a2a_server/ticket_server.py b/SmartVoyage/a2a_server/ticket_server.py new file mode 100644 index 0000000..5404b33 --- /dev/null +++ b/SmartVoyage/a2a_server/ticket_server.py @@ -0,0 +1,273 @@ +import json +import asyncio + +from mcp import ClientSession +from mcp.client.streamable_http import streamablehttp_client +from python_a2a import A2AServer, run_server, AgentCard, AgentSkill, TaskStatus, TaskState +from langchain_openai import ChatOpenAI +from langchain_core.prompts import ChatPromptTemplate +from datetime import datetime +import pytz + +from SmartVoyage.config import Config +from SmartVoyage.create_logger import logger + +conf = Config() + +# 初始化LLM +llm = ChatOpenAI( + model=conf.model_name, + base_url=conf.base_url, + api_key=conf.api_key, + temperature=0.1 +) + + +# 数据表 schema +table_schema_string = """ # 定义票务表SQL schema字符串,用于Prompt上下文 +CREATE TABLE train_tickets ( + id INT AUTO_INCREMENT PRIMARY KEY COMMENT '主键，自增，唯一标识每条记录', + departure_city VARCHAR(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '出发城市（如“北京”）', + arrival_city VARCHAR(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '到达城市（如“上海”）', + departure_time DATETIME NOT NULL COMMENT '出发时间（如“2025-08-12 07:00:00”）', + arrival_time DATETIME NOT NULL COMMENT '到达时间（如“2025-08-12 11:30:00”）', + train_number VARCHAR(20) NOT NULL COMMENT '火车车次（如“G1001”）', + seat_type VARCHAR(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '座位类型（如“二等座”）', + total_seats INT NOT NULL COMMENT '总座位数（如 1000）', + remaining_seats INT NOT NULL COMMENT '剩余座位数（如 50）', + price DECIMAL(10, 2) NOT NULL COMMENT '票价（如 553.50）', + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间，自动记录插入时间', + UNIQUE KEY unique_train (departure_time, train_number) +) COMMENT='火车票信息表'; + +-- 机票表 +CREATE TABLE flight_tickets ( + id INT AUTO_INCREMENT PRIMARY KEY COMMENT '主键，自增，唯一标识每条记录', + departure_city VARCHAR(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '出发城市（如“北京”）', + arrival_city VARCHAR(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '到达城市（如“上海”）', + departure_time DATETIME NOT NULL COMMENT '出发时间（如“2025-08-12 08:00:00”）', + arrival_time DATETIME NOT NULL COMMENT '到达时间（如“2025-08-12 10:30:00”）', + flight_number VARCHAR(20) NOT NULL COMMENT '航班号（如“CA1234”）', + cabin_type VARCHAR(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '舱位类型（如“经济舱”）', + total_seats INT NOT NULL COMMENT '总座位数（如 200）', + remaining_seats INT NOT NULL COMMENT '剩余座位数（如 10）', + price DECIMAL(10, 2) NOT NULL COMMENT '票价（如 1200.00）', + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间，自动记录插入时间', + UNIQUE KEY unique_flight (departure_time, flight_number) +) COMMENT='航班机票信息表'; + +-- 演唱会票表 +CREATE TABLE concert_tickets ( + id INT AUTO_INCREMENT PRIMARY KEY COMMENT '主键，自增，唯一标识每条记录', + artist VARCHAR(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '艺人名称（如“周杰伦”）', + city VARCHAR(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '举办城市（如“上海”）', + venue VARCHAR(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '场馆（如“上海体育场”）', + start_time DATETIME NOT NULL COMMENT '开始时间（如“2025-08-12 19:00:00”）', + end_time DATETIME NOT NULL COMMENT '结束时间（如“2025-08-12 22:00:00”）', + ticket_type VARCHAR(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '票类型（如“VIP”）', + total_seats INT NOT NULL COMMENT '总座位数（如 5000）', + remaining_seats INT NOT NULL COMMENT '剩余座位数（如 100）', + price DECIMAL(10, 2) NOT NULL COMMENT '票价（如 880.00）', + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间，自动记录插入时间', + UNIQUE KEY unique_concert (start_time, artist, ticket_type) +) COMMENT='演唱会门票信息表'; +""" + +# 生成SQL的提示词 +sql_prompt = ChatPromptTemplate.from_template( + """ +系统提示：你是一个专业的票务SQL生成器，需要从对话历史（含用户的问题）中提取用户的意图以及关键信息，然后基于train_tickets、flight_tickets、concert_tickets表生成SELECT语句。 +根据对话历史： +1. 提取用户的意图，意图有3种（train: 火车/高铁, flight: 机票, concert: 演唱会），输出：{{"type": "train/flight/concert"}}；如果无法识别意图，或者意图不在这3种内，则模仿最后1个示例回复即可。 +2. 根据用户的意图，生成对应表的 SELECT 语句，仅查询指定字段： +- train_tickets: id, departure_city, arrival_city, departure_time, arrival_time, train_number, seat_type, price, remaining_seats +- flight_tickets: id, departure_city, arrival_city, departure_time, arrival_time, flight_number, cabin_type, price, remaining_seats +- concert_tickets: id, artist, city, venue, start_time, end_time, ticket_type, price, remaining_seats +3. 如果用户在查询票务信息时，缺少必要信息，则输出：{{"status": "input_required", "message": "请提供票务类型（如火车票、机票、演唱会）和必要信息（如城市、日期）。"}} ，如示例所示；如果对话历史中信息齐全，则输出纯SQL即可。 +其中，每种意图必要的信息有： +- flight/train: 【departure_city (出发城市), arrival_city (到达城市), date (日期)】 或 【train_number/flight_number (车次)】 +- concert: city (城市), artist (艺人), date (日期)。 +4. 按要求输出两行数据或一行数据即可，不需要输出其他内容。 + + +示例： +- 对话: user: 火车票 北京 上海 2025-07-31 硬卧 +输出: +{{"type": "train"}} +SELECT id, departure_city, arrival_city, departure_time, arrival_time, train_number, seat_type, price, remaining_seats FROM train_tickets WHERE departure_city = '北京' AND arrival_city = '上海' AND DATE(departure_time) = '2025-07-31' AND seat_type = '硬卧' + +- 对话: user: 机票 上海 广州 2025-09-11 头等舱 +输出: +{{"type": "flight"}} +SELECT id, departure_city, arrival_city, departure_time, arrival_time, flight_number, cabin_type, price, remaining_seats FROM flight_tickets WHERE departure_city = '上海' AND arrival_city = '广州' AND DATE(departure_time) = '2025-09-11' AND cabin_type = '头等舱' + +- 对话: user: 演唱会 北京 刀郎 2025-08-23 看台 +输出: +{{"type": "concert"}} +SELECT id, artist, city, venue, start_time, end_time, ticket_type, price, remaining_seats FROM concert_tickets WHERE city = '北京' AND artist = '刀郎' AND DATE(start_time) = '2025-08-23' AND ticket_type = '看台' + +- 对话: user: 火车票 +输出: +{{"status": "input_required", "message": "请提供票务类型（如火车票、机票、演唱会）和必要信息（如城市、日期）。"}} + +- 对话: user: 你好 +输出: +{{"status": "input_required", "message": "请提供票务类型（如火车票、机票、演唱会）和必要信息（如城市、日期）。"}} + +表结构：{table_schema_string} +对话历史: {conversation} +当前日期: {current_date} (Asia/Shanghai) + """ +) +# 定义查询函数 +async def get_ticket_info(sql): + try: + # 启动 MCP server，通过streamable建立连接 + async with streamablehttp_client("http://127.0.0.1:8001/mcp") as (read, write, _): + # 使用读写通道创建 MCP 会话 + async with ClientSession(read, write) as session: + try: + await session.initialize() + # 工具调用 + result = await session.call_tool("query_tickets", {"sql": sql}) + result_data = json.loads(result) if isinstance(result, str) else result + logger.info(f"票务查询结果：{result_data}") + return result_data.content[0].text + except Exception as e: + logger.error(f"票务 MCP 测试出错：{str(e)}") + return {"status": "error", "message": f"票务 MCP 查询出错：{str(e)}"} + except Exception as e: + logger.error(f"连接或会话初始化时发生错误: {e}") + return {"status": "error", "message": "连接或会话初始化时发生错误"} +agent_card = AgentCard( + name="TicketQueryAssistant", + description="基于 LangChain 提供票务查询服务的助手", + url="http://localhost:5006", + version="1.0.4", + capabilities={"streaming": True, "memory": True}, + skills=[ + AgentSkill( + name="execute ticket query", + description="根据客户端提供的输入执行票务查询，返回数据库结果，支持自然语言输入", + examples=["火车票 北京 上海 2025-07-31 硬卧", "机票 北京 上海 2025-07-31 经济舱", + "演唱会 北京 刀郎 2025-08-23 看台"] + ) + ] +) +class TicketQueryServer(A2AServer): + def __init__(self): + super().__init__(agent_card=agent_card) + self.llm = llm + self.sql_prompt = sql_prompt + self.schema = table_schema_string + + # 定义生成SQL查询方法，输入对话历史，返回SQL或追问JSON + def generate_sql_query(self, conversation: str) -> dict: + try: + # 组装链 + chain = self.sql_prompt | self.llm + # 调用链 + current_date = datetime.now(pytz.timezone('Asia/Shanghai')).strftime('%Y-%m-%d') # 获取当前日期，格式化为字符串 + output = chain.invoke({"conversation": conversation, "current_date": current_date, "table_schema_string": self.schema}).content.strip() + logger.info(f"原始 LLM 输出: {output}") + + # 处理结果，返回字典 + lines = output.split('\n') + type_line = lines[0].strip() + if type_line.startswith('```json'): # 检查是否以```json开头 + type_line = lines[1].strip() # 取下一行为类型行 + sql_lines = lines[3:-1] if lines[-1].strip() == '```' else lines[3:] # 提取SQL行，跳过代码块标记 + else: + sql_lines = lines[1:] if len(lines) > 1 else [] # 取剩余行为SQL行 + + # 提取 type 和 SQL + if type_line.startswith('{"type":'): # 如果以{"type":开头 + query_type = json.loads(type_line)["type"] # 解析并提取类型 + sql_query = ' '.join([line.strip() for line in sql_lines if line.strip() and not line.startswith('```')]) # 连接SQL行，过滤空行和代码块 + logger.info(f"分类类型: {query_type}, 生成的 SQL: {sql_query}") + return {"status": "sql", "type": query_type, "sql": sql_query} # 返回SQL状态字典，包括类型 + elif type_line.startswith('{"status": "input_required"'): # 检查是否为追问JSON + return json.loads(type_line) + else: # 无效格式 + logger.error(f"无效的 LLM 输出格式: {output}") + return {"status": "input_required", "message": "无法解析查询类型或SQL，请提供更明确的信息。"} # 返回默认追问 + except Exception as e: + logger.error(f"SQL 生成失败: {str(e)}") + return {"status": "input_required", "message": "查询无效，请提供查询票务的相关信息。"} # 返回追问JSON +def handle_task(self, task): + # 1 提取输入 + content = (task.message or {}).get("content", {}) # 从消息中获取内容 + # 提取conversation，即客户端发起的任务中的query语句 + conversation = content.get("text", "") if isinstance(content, dict) else "" + logger.info(f"对话历史及用户问题: {conversation}") + + try: + # 2 基于用户问题生成SQL查询 + gen_result = self.generate_sql_query(conversation) + # 检查是否需要追问，如果是则添加追问消息后返回任务 + if gen_result["status"] == "input_required": + task.status = TaskStatus(state=TaskState.INPUT_REQUIRED, + message={"role": "agent", "content": {"text": gen_result["message"]}}) + return task + + # 否则则提取SQL查询，并进行MCP调用 + sql_query = gen_result["sql"] + query_type = gen_result["type"] + logger.info(f"执行 SQL 查询: {sql_query} (类型: {query_type})") + + # 3 调用MCP + ticket_result = asyncio.run(get_ticket_info(sql_query)) + + # 4 格式化结果 + response = json.loads(ticket_result) if isinstance(ticket_result, str) else ticket_result + logger.info(f"MCP 返回: {response}") + # 检查响应状态 + if response.get("status") == "success": + data = response.get("data", []) # 提取数据列表 + response_text = "" # 初始化响应文本 + for d in data: # 遍历每个数据项 + if query_type == "train": # 火车票类型 + response_text += f"{d['departure_city']} 到 {d['arrival_city']} {d['departure_time']}: 车次 {d['train_number']}，{d['seat_type']}，票价 {d['price']}元，剩余 {d['remaining_seats']} 张\n" # 格式化火车票文本 + elif query_type == "flight": # 机票类型 + response_text += f"{d['departure_city']} 到 {d['arrival_city']} {d['departure_time']}: 航班 {d['flight_number']}，{d['cabin_type']}，票价 {d['price']}元，剩余 {d['remaining_seats']} 张\n" # 格式化机票文本 + elif query_type == "concert": # 演唱会类型 + response_text += f"{d['city']} {d['start_time']}: {d['artist']} 演唱会，{d['ticket_type']}，场地 {d['venue']}，票价 {d['price']}元，剩余 {d['remaining_seats']} 张\n" # 格式化演唱会文本 + if not response_text: # 检查文本是否为空 + response_text = "无结果。如果需要其他日期，请补充。" + # 设置任务产物为文本部分，并设置任务状态为完成 + task.artifacts = [{"parts": [{"type": "text", "text": response_text}]}] + task.status = TaskStatus(state=TaskState.COMPLETED) + elif response.get("status") == "no_data": + response_text = response.get("message", "请输出查询票务的详细信息。") + + # 设置任务状态为输入所需，添加追问消息 + task.status = TaskStatus(state=TaskState.INPUT_REQUIRED, + message={"role": "agent", "content": {"text": response_text}}) + else: + response_text = response.get("message", "查询失败，请重试或提供更多细节。") + + # 设置任务状态为失败，添加错误信息 + task.status = TaskStatus(state=TaskState.FAILED, + message={"role": "agent", "content": {"text": response_text}}) + return task + except Exception as e: # 捕获异常 + logger.error(f"查询失败: {str(e)}") + + # 设置任务状态为失败，添加错误信息 + task.status = TaskStatus(state=TaskState.FAILED, + message={"role": "agent", + "content": {"text": f"查询失败: {str(e)} 请重试或提供更多细节。"}}) + return task +if __name__ == "__main__": + # 创建并运行服务器 + # 实例化票务查询服务器 + ticket_server = TicketQueryServer() + # 打印服务器信息 + print("\n=== 服务器信息 ===") + print(f"名称: {ticket_server.agent_card.name}") + print(f"描述: {ticket_server.agent_card.description}") + print("\n技能:") + for skill in ticket_server.agent_card.skills: + print(f"- {skill.name}: {skill.description}") + # 运行服务器 + run_server(ticket_server, host="127.0.0.1", port=5006) \ No newline at end of file diff --git a/SmartVoyage/a2a_server/weather_server.py b/SmartVoyage/a2a_server/weather_server.py new file mode 100644 index 0000000..e9cd8cc --- /dev/null +++ b/SmartVoyage/a2a_server/weather_server.py @@ -0,0 +1,214 @@ +import json +import asyncio +from mcp import ClientSession +from mcp.client.streamable_http import streamablehttp_client +from python_a2a import A2AServer, run_server, AgentCard, AgentSkill, TaskStatus, TaskState +from langchain_openai import ChatOpenAI +from langchain_core.prompts import ChatPromptTemplate + +from SmartVoyage.config import Config +from datetime import datetime +import pytz + +from SmartVoyage.create_logger import logger + +conf = Config() + +# 初始化LLM +llm = ChatOpenAI( + model=conf.model_name, + base_url=conf.base_url, + api_key=conf.api_key, + temperature=0.1 +) + +# 数据表 schema +table_schema_string = """ # 定义天气数据表的SQL schema字符串,用于Prompt上下文 +CREATE TABLE IF NOT EXISTS weather_data ( +id INT AUTO_INCREMENT PRIMARY KEY, +city VARCHAR(50) NOT NULL COMMENT '城市名称', +fx_date DATE NOT NULL COMMENT '预报日期', +sunrise TIME COMMENT '日出时间', +sunset TIME COMMENT '日落时间', +moonrise TIME COMMENT '月升时间', +moonset TIME COMMENT '月落时间', +moon_phase VARCHAR(20) COMMENT '月相名称', +moon_phase_icon VARCHAR(10) COMMENT '月相图标代码', +temp_max INT COMMENT '最高温度', +temp_min INT COMMENT '最低温度', +icon_day VARCHAR(10) COMMENT '白天天气图标代码', +text_day VARCHAR(20) COMMENT '白天天气描述', +icon_night VARCHAR(10) COMMENT '夜间天气图标代码', +text_night VARCHAR(20) COMMENT '夜间天气描述', +wind360_day INT COMMENT '白天风向360角度', +wind_dir_day VARCHAR(20) COMMENT '白天风向', +wind_scale_day VARCHAR(10) COMMENT '白天风力等级', +wind_speed_day INT COMMENT '白天风速 (km/h)', +wind360_night INT COMMENT '夜间风向360角度', +wind_dir_night VARCHAR(20) COMMENT '夜间风向', +wind_scale_night VARCHAR(10) COMMENT '夜间风力等级', +wind_speed_night INT COMMENT '夜间风速 (km/h)', +precip DECIMAL(5,1) COMMENT '降水量 (mm)', +uv_index INT COMMENT '紫外线指数', +humidity INT COMMENT '相对湿度 (%)', +pressure INT COMMENT '大气压强 (hPa)', +vis INT COMMENT '能见度 (km)', +cloud INT COMMENT '云量 (%)', +update_time DATETIME COMMENT '数据更新时间', +UNIQUE KEY unique_city_date (city, fx_date) +) ENGINE=INNODB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT='天气数据表'; +""" + +# 生成SQL的提示词 +sql_prompt = ChatPromptTemplate.from_template( + """ +系统提示：你是一个专业的天气SQL生成器，需要从对话历史（含用户的问题）中提取关键信息，然后基于weather_data表生成SELECT语句。 +- 如果用户需要查天气，则至少需要城市和时间信息。如果对话历史中缺乏必要的信息，可以向其追问，输出格式为json格式，如示例所示；如果对话历史中信息齐全，则输出纯SQL即可。 +- 如果用户问与天气无关的问题，则模仿最后2个示例回复即可。 + + +示例： +- 对话: user: 北京 2025-07-30 +输出: SELECT city, fx_date, temp_max, temp_min, text_day, text_night, humidity, wind_dir_day, precip FROM weather_data WHERE city = '北京' AND fx_date = '2025-07-30' +- 对话: user: 上海未来3天的天气 +输出: SELECT city, fx_date, temp_max, temp_min, text_day, text_night, humidity, wind_dir_day, precip FROM weather_data WHERE city = '上海' AND fx_date BETWEEN '2025-07-30' AND '2025-08-01' ORDER BY fx_date +- 对话: user: 北京的天气 +输出: {{"status": "input_required", "message": "请提供具体的需要查询的日期，例如 '2025-07-30'。"}} +- 对话: user: 今天\nassistant: 请提供城市。\nuser: 北京 +输出: SELECT city, fx_date, temp_max, temp_min, text_day, text_night, humidity, wind_dir_day, precip FROM weather_data WHERE city = '北京' AND fx_date = '2025-07-30' +- 对话: user: 北京明天的天气\nassistant: 多云。\nuser: 后天呢 +输出: SELECT city, fx_date, temp_max, temp_min, text_day, text_night, humidity, wind_dir_day, precip FROM weather_data WHERE city = '北京' AND fx_date = '2025-08-01' +- 对话: user: 你好 +输出: {{"status": "input_required", "message": "请提供城市和日期，例如 '北京 2025-07-30'。"}} +- 对话: user: 今天有什么好吃的 +输出: {{"status": "input_required", "message": "请提供天气相关查询，包括城市和日期。"}} + +weather_data表结构：{table_schema_string} +对话历史: {conversation} +当前日期: {current_date} (Asia/Shanghai) + """ +) +async def get_weather(sql): + try: + # 启动 MCP server，通过streamable建立连接 + async with streamablehttp_client("http://127.0.0.1:8002/mcp") as (read, write, _): + # 使用读写通道创建 MCP 会话 + async with ClientSession(read, write) as session: + try: + await session.initialize() + # 工具调用 + result = await session.call_tool("query_weather", {"sql": sql}) + result_data = json.loads(result) if isinstance(result, str) else result + logger.info(f"天气查询结果：{result_data}") + return result_data.content[0].text + except Exception as e: + logger.error(f"天气 MCP 测试出错：{str(e)}") + return {"status": "error", "message": f"天气 MCP 查询出错：{str(e)}"} + except Exception as e: + logger.error(f"连接或会话初始化时发生错误: {e}") + return {"status": "error", "message": "连接或会话初始化时发生错误"} +# Agent卡片定义 +agent_card = AgentCard( + name="WeatherQueryAssistant", + description="基于LangChain提供天气查询服务的助手", + url="http://localhost:5005", + version="1.0.0", + capabilities={"streaming": True, "memory": True}, # 设置能力：支持流式和内存 + skills=[ # 定义技能列表 + AgentSkill( + name="execute weather query", + description="执行天气查询，返回天气数据库结果，支持自然语言输入", + examples=["北京 2025-07-30 天气", "上海未来5天", "今天天气如何"] + ) + ] +) +class WeatherQueryServer(A2AServer): + def __init__(self): + super().__init__(agent_card=agent_card) + self.llm=llm + self.sql_prompt=sql_prompt + self.schema=table_schema_string + + def generate_sql_query(self,conversation:str) -> dict: + try: + chain=self.sql_prompt|self.llm + + current_date=datetime.now(pytz.timezone(('Asia/Shanghai')).strftime('%Y-%m-%d')) + output=chain.invoke({"conversation": conversation, "current_date": current_date, "table_schema_string": self.schema}).content.strip() + logger.info(f'原始LLM输出：{output}') + if output.startswith('{'): + return json.loads(output) + return {'status':'sql','sql':output} + except Exception as e: + logger.error(f'SQL生成失败：{str(e)}') + return {'status':'input_required','message':'查询无效，请提供城市和日期。'} +def handle_task(self, task): + # 1 提取输入 + content = (task.message or {}).get("content", {}) # 从消息中获取内容 + # 提取conversation，即客户端发起的任务中的query语句 + conversation = content.get("text", "") if isinstance(content, dict) else "" + logger.info(f"对话历史及用户问题: {conversation}") + + try: + # 2 基于用户问题生成SQL查询 + gen_result = self.generate_sql_query(conversation) + # 检查是否需要追问，如果是则添加追问消息后返回任务 + if gen_result["status"] == "input_required": + # 追问逻辑，这里是指在无法正常生成sql时，设置任务状态为输入所需，添加追问消息 + task.status = TaskStatus(state=TaskState.INPUT_REQUIRED, + message={"role": "agent", "content": {"text": gen_result["message"]}}) + return task + + # 否则则提取SQL查询，并进行MCP调用 + sql_query = gen_result["sql"] # + logger.info(f"生成的SQL查询: {sql_query}") + + # 3 调用MCP + weather_result = asyncio.run(get_weather(sql_query)) + + # 4 格式化结果 + response = json.loads(weather_result) if isinstance(weather_result, str) else weather_result + logger.info(f"MCP 返回: {response}") + # 检查响应状态 + if response.get("status") == "success": + data = response.get("data", []) # 提取数据列表 + response_text = "\n".join([f"{d['city']} {d['fx_date']}: {d['text_day']}（夜间 {d['text_night']}），温度 {d['temp_min']}-{d['temp_max']}°C，湿度 {d['humidity']}%，风向 {d['wind_dir_day']}，降水 {d['precip']}mm" for d in data]) # 格式化每个数据项为友好文本，连接成多行 + + # 设置任务产物为文本部分，并设置任务状态为完成 + task.artifacts = [{"parts": [{"type": "text", "text": response_text}]}] + task.status = TaskStatus(state=TaskState.COMPLETED) + elif response.get("status") == "no_data": + response_text = response.get("message", "请重新输入查询的城市和日期。") + + # 设置任务状态为输入所需，添加追问消息 + task.status = TaskStatus(state=TaskState.INPUT_REQUIRED, + message={"role": "agent", "content": {"text": response_text}}) + else: + response_text = response.get("message", "查询失败，请重试或提供更多细节。") + + # 设置任务状态为失败，添加错误信息 + task.status = TaskStatus(state=TaskState.FAILED, + message={"role": "agent", "content": {"text": response_text}}) + + return task + except Exception as e: # 捕获异常 + logger.error(f"查询失败: {str(e)}") + + # 设置任务状态为失败，添加错误信息 + task.status = TaskStatus(state=TaskState.FAILED, + message={"role": "agent", + "content": {"text": f"查询失败: {str(e)} 请重试或提供更多细节。"}}) + return task +if __name__ == "__main__": + # 创建并运行服务器 + # 实例化天气查询服务器 + weather_server = WeatherQueryServer() + # 打印服务器信息 + print("\n=== 服务器信息 ===") + print(f"名称: {weather_server.agent_card.name}") + print(f"描述: {weather_server.agent_card.description}") + print("\n技能:") + for skill in weather_server.agent_card.skills: + print(f"- {skill.name}: {skill.description}") + # 运行服务器 + run_server(weather_server, host="127.0.0.1", port=5005) \ No newline at end of file diff --git a/SmartVoyage/config.py b/SmartVoyage/config.py new file mode 100644 index 0000000..a450200 --- /dev/null +++ b/SmartVoyage/config.py @@ -0,0 +1,26 @@ +import os + +# 项目根目录 +project_root = os.path.join(os.path.dirname(os.path.abspath(__file__)), '..') + + +#定义配置文件 +class Config: + def __init__(self): + # 大模型配置 + self.base_url = 'https://api.deepseek.com' + self.api_key = 'sk-2a9f2aeb2ebb44aa8b5d396a133f6586' + self.model_name = 'deepseek-chat' + + # 数据库配置 + self.host = 'localhost' + self.user = 'root' + self.password = 'root' + self.database = 'travel_rag' + + # 日志配置 + self.log_file = os.path.join(project_root, 'SmartVoyage', 'logs/app.log') + + +if __name__ == '__main__': + print(Config().log_file) \ No newline at end of file diff --git a/SmartVoyage/create_logger.py b/SmartVoyage/create_logger.py new file mode 100644 index 0000000..3762e99 --- /dev/null +++ b/SmartVoyage/create_logger.py @@ -0,0 +1,36 @@ +import logging +import os + +from SmartVoyage.config import Config + + +def setup_logger(name, log_file='logs/app.log'): + # 创建日志文件夹 + os.makedirs(os.path.dirname(log_file), exist_ok=True) + + # 获取日志记录器 + logger = logging.getLogger(name) + logger.setLevel(logging.DEBUG) + # 防止重复输出的关键！ + logger.propagate = False + + # 定义日志格式 + formatter = logging.Formatter('%(name)s - %(asctime)s - %(levelname)s - %(message)s') + + # 创建控制台处理器 + console_handler = logging.StreamHandler() + console_handler.setFormatter(formatter) + console_handler.setLevel(logging.INFO) # 每个日志处理器可以单独设置日志级别，但是这个日志级别必须高于或等于处理器级别 + + # 创建文件处理器 + file_handler = logging.FileHandler(filename=log_file, encoding="utf-8", mode="a") + file_handler.setFormatter(formatter) + file_handler.setLevel(logging.DEBUG) + + # 将处理器添加到日志记录器中 + if not logger.handlers: # 先进行判断，再进行添加。避免重复添加处理器 + logger.addHandler(console_handler) + logger.addHandler(file_handler) + + return logger +logger = setup_logger('SmartVoage', Config().log_file) \ No newline at end of file diff --git a/SmartVoyage/main.py b/SmartVoyage/main.py new file mode 100644 index 0000000..7e8b4e0 --- /dev/null +++ b/SmartVoyage/main.py @@ -0,0 +1,54 @@ +import asyncio +import json +import uuid +from datetime import datetime +import pytz +import re +from python_a2a import AgentNetwork, TextContent, Message, MessageRole, Task +from langchain_openai import ChatOpenAI + +from SmartVoyage.config import Config +from SmartVoyage.create_logger import logger +from SmartVoyage.main_prompts import SmartVoyagePrompts + +conf = Config() + +# 初始化全局变量，用于模拟会话状态 这些变量替换了Streamlit的session_state +messages = [] # 存储对话历史消息列表，每个元素为字典{"role": "user/assistant", "content": "消息内容"} +agent_network = None # 代理网络实例 +llm = None # 大语言模型实例 +agent_urls = {} # 存储代理的URL信息字典 +conversation_history = "" # 存储整个对话历史字符串，用于意图识别 + + +# 初始化代理网络和相关组件 此部分在脚本启动时执行一次，模拟Streamlit的初始化 +def initialize_system(): + """ + 初始化系统组件，包括代理网络、路由器、LLM和会话状态 + 核心逻辑：构建AgentNetwork，添加代理，创建路由器和LLM + """ + + global agent_network, llm, agent_urls, conversation_history + # 存储代理URL信息，便于查看 + agent_urls = { + "WeatherQueryAssistant": "http://localhost:5005", # 天气代理URL + "TicketQueryAssistant": "http://localhost:5006", # 票务代理URL + "TicketOrderAssistant": "http://localhost:5007" # 票务预定URL + } + # 创建代理网络 + network = AgentNetwork(name="旅行助手网络") + network.add("WeatherQueryAssistant", "http://localhost:5005") + network.add("TicketQueryAssistant", "http://localhost:5006") + network.add("TicketOrderAssistant", "http://localhost:5007") + agent_network = network + + # 加载配置并创建LLM + llm = ChatOpenAI( + model=conf.model_name, + api_key=conf.api_key, + base_url=conf.base_url, + temperature=0.1 + ) + + # 初始化对话历史为空字符串 + conversation_history = "" \ No newline at end of file diff --git a/SmartVoyage/main_prompts.py b/SmartVoyage/main_prompts.py new file mode 100644 index 0000000..d81cb36 --- /dev/null +++ b/SmartVoyage/main_prompts.py @@ -0,0 +1,81 @@ +from langchain_core.prompts import ChatPromptTemplate + + +class SmartVoyagePrompts: + + # 定义意图识别提示模板 + @staticmethod + def intent_prompt(): + return ChatPromptTemplate.from_template( +""" +系统提示：您是一个专业的旅行意图识别专家，基于用户查询和对话历史，识别其意图，用于调用专门的agent server来执行；为方便后续的agent server处理，可以基于对话历史对用户查询进行改写，使问题更明确。严格遵守规则： +- 支持意图：['weather' (天气查询), 'flight' (机票查询), 'train' (高铁/火车票查询), 'concert' (演唱会票查询), 'order' (票务预定), 'attraction' (景点推荐)] 或其组合（如 ['weather', 'flight']）。如果意图超出范围，返回意图 'out_of_scope'。 +- 注意票务预定和票务查询要区分开，涉及到订票时则为order，只是查询则为flight、train或concert。 +- 如果意图为 'out_of_scope'时，此时不需要再进行查询改写，你可以直接根据用户问题进行回复，将回复答案写到follow_up_message中即可。 +- 在进行用户查询改写时，不要回答其问题，也不要修改其原意，只需要将对话历史中跟该查询相关的上下文信息取出来，然后整合到一起，使用户查询更明确即可，要仔细分析上下文信息，不要进行过度整合。如果用户查询跟对话历史无关，则输出原始查询。 +- 如果用户的意图很不明确或者有歧义，可以向其进行追问，将追问问题填充到follow_up_message中。 +- 输出严格为JSON：{{"intents": ["intent1", "intent2"], "user_queries": {{"intent1": "user_query1", "intent2": "user_query2"}}, "follow_up_message": "追问消息"}}。不要添加额外文本！ + +输出示例： +{{"intents": ["weather"], "user_queries": {{"weather": "今天北京天气如何"}}, "follow_up_message": ""}} +{{"intents": ["weather"], "user_queries": {{}}, "follow_up_message": "你问的是今天北京天气状况吗"}} +{{"intents": ["weather", "flight"], "user_queries": {{"weather": "今天北京天气如何", "flight": "查询一下10月28日，从北京飞往杭州的机票"}}, "follow_up_message": ""}} +{{"intents": ["out_of_scope"], "user_queries": {{}}, "follow_up_message": "你好，我是智能旅行助手，欢迎您向我提问"}} + +当前日期：{current_date} (Asia/Shanghai)。 +对话历史：{conversation_history} +用户查询：{query} +""") + + # 定义天气结果总结提示模板，用于LLM总结天气查询的原始响应 + @staticmethod + def summarize_weather_prompt(): + return ChatPromptTemplate.from_template( +""" +系统提示：您是一位专业的天气预报员，以生动、准确的风格总结天气信息。基于查询和结果： +- 核心描述点：城市、日期、温度范围、天气描述、湿度、风向、降水等。 +- 如果结果为空或者意思为需要补充数据，则委婉提示“未找到数据，请确认城市/日期” +- 语气：专业预报，如“根据最新数据，北京2025-07-31的天气预报为...”。 +- 保持中文，100-150字。 +- 如果查询无关，返回“请提供天气相关查询。” + +查询：{query} +结果：{raw_response} +""") + + # 定义票务结果总结提示模板，用于LLM总结票务查询的原始响应 + @staticmethod + def summarize_ticket_prompt(): + return ChatPromptTemplate.from_template( +""" +系统提示：您是一位专业的旅行顾问，以热情、精确的风格总结票务信息。基于查询和结果： +- 核心描述点：出发/到达、时间、类型、价格、剩余座位等。 +- 如果结果为空或者意思为需要补充数据，则委婉提示“未找到数据，请确认或修改条件” +- 语气：顾问式，如“为您推荐北京到上海的机票选项...”。 +- 保持中文，100-150字。 +- 如果查询无关，返回“请提供票务相关查询。” + + +查询：{query} +结果：{raw_response} +""") + + # 定义景点推荐提示模板，用于LLM直接生成景点推荐内容 + @staticmethod + def attraction_prompt(): + return ChatPromptTemplate.from_template( +""" +系统提示：您是一位旅行专家，基于用户查询生成景点推荐。规则： +- 推荐3-5个景点，包含描述、理由、注意事项。 +- 基于槽位：城市、偏好。 + +- 语气：热情推荐，如“推荐您在北京探索故宫...”。 +- 备注：内容生成，仅供参考。 +- 保持中文，150-250字。 + +查询：{query} +""") + + +if __name__ == '__main__': + print(SmartVoyagePrompts.intent_prompt()) \ No newline at end of file diff --git a/SmartVoyage/mcp_server/mcp_order_server.py b/SmartVoyage/mcp_server/mcp_order_server.py new file mode 100644 index 0000000..066d352 --- /dev/null +++ b/SmartVoyage/mcp_server/mcp_order_server.py @@ -0,0 +1,81 @@ +from mcp.server.fastmcp import FastMCP + +from SmartVoyage.config import Config +from SmartVoyage.create_logger import logger + +conf = Config() + +# 创建FastMCP实例 +order_mcp = FastMCP(name="OrderTools", + instructions="票务预定工具，通过调用API完成火车票、飞机票和演唱会票的预定。", + log_level="ERROR", + host="127.0.0.1", port=8003) + + +@order_mcp.tool( + name="order_train", + description="根据时间、车次、座位类型、数量预定火车票" +) +def order_train(departure_date: str, train_number: str, seat_type: str, number: int) -> str: + ''' + Args: + departure_date (str): 出发日期，如 '2025-10-30' + train_number (str): 火车车次，如 'G346' + seat_type (str): 座位类型，如 '二等座' + number (int): 订购张数 + ''' + logger.info(f"正在订购火车票: {departure_date}, {train_number}, {seat_type}, {number}") + logger.info(f"恭喜，火车票预定成功！") + return "恭喜，火车票预定成功！" +@order_mcp.tool( + name="order_flight", + description="根据时间、班次、座位类型、数量预定飞机票" +) +def order_flight(departure_date: str, flight_number: str, seat_type: str, number: int) -> str: + ''' + Args: + departure_date (str): 出发日期，如 '2025-10-30' + flight_number (str): 飞机班次，如 'CA6557' + seat_type (str): 座位类型，如 '经济舱' + number (int): 订购张数 + ''' + logger.info(f"正在订购飞机票: {departure_date}, {flight_number}, {seat_type}, {number}") + logger.info(f"恭喜，飞机票预定成功！") + return "恭喜，飞机票预定成功！" + + +@order_mcp.tool( + name="order_concert", + description="根据时间、明星、场地、座位类型、数量预定演出票" +) +def order_concert(start_date: str, aritist: str, venue: str, seat_type: str, number: int) -> str: + ''' + Args: + start_date (str): 开始日期，如 '2025-10-30' + aritist (str): 明星，如 '刀郎' + venue (str): 场地，如 '上海体育馆' + seat_type (str): 座位类型，如 '看台' + number (int): 订购张数 + ''' + logger.info(f"正在订购演出票: {start_date}, {aritist}, {venue}, {seat_type}, {number}") + logger.info(f"恭喜，演出票预定成功！") + return "恭喜，演出票预定成功！" + +# 创建票务预定MCP服务器 +def create_order_mcp_server(): + # 打印服务器信息 + logger.info("=== 票务预定MCP服务器信息 ===") + logger.info(f"名称: {order_mcp.name}") + logger.info(f"描述: {order_mcp.instructions}") + + # 运行服务器 + try: + print("服务器已启动，请访问 http://127.0.0.1:8003/mcp") + order_mcp.run(transport="streamable-http") # 使用 streamable-http 传输方式 + except Exception as e: + print(f"服务器启动失败: {e}") + + +if __name__ == "__main__": + # 调用创建服务器函数 + create_order_mcp_server() \ No newline at end of file diff --git a/SmartVoyage/mcp_server/mcp_ticket_server.py b/SmartVoyage/mcp_server/mcp_ticket_server.py new file mode 100644 index 0000000..773e36c --- /dev/null +++ b/SmartVoyage/mcp_server/mcp_ticket_server.py @@ -0,0 +1,77 @@ +import mysql.connector +import json +from datetime import date, datetime, timedelta +from decimal import Decimal +from mcp.server.fastmcp import FastMCP + +from SmartVoyage.config import Config +from SmartVoyage.create_logger import logger +from SmartVoyage.utils.format import DateEncoder, default_encoder + +conf = Config() + + +# 票务服务类 +class TicketService: # 定义票务服务类，封装数据库操作逻辑 + def __init__(self): # 初始化方法，建立数据库连接 + # 连接数据库 + self.conn = mysql.connector.connect( + host=conf.host, + user=conf.user, + password=conf.password, + database=conf.database + ) +# 定义执行SQL查询方法，输入SQL字符串，返回JSON字符串 + def execute_query(self, sql: str) -> str: + try: + cursor = self.conn.cursor(dictionary=True) + cursor.execute(sql) + results = cursor.fetchall() + cursor.close() + # 格式化结果 + for result in results: # 遍历每个结果字典 + for key, value in result.items(): + if isinstance(value, (date, datetime, timedelta, Decimal)): # 检查值是否为特殊类型 + result[key] = default_encoder(value) # 使用自定义编码器格式化该值 + # 序列化为JSON，如果有结果返回success，否则no_data；使用DateEncoder，非ASCII不转义 + return json.dumps({"status": "success", "data": results} if results else {"status": "no_data", + "message": "未找到票务数据，请确认查询条件。"}, + cls=DateEncoder, ensure_ascii=False) + except Exception as e: + logger.error(f"票务查询错误: {str(e)}") + # 返回错误JSON响应 + return json.dumps({"status": "error", "message": str(e)}, ensure_ascii=False) +def create_ticket_mcp_server(): + # 创建FastMCP实例 + ticket_mcp = FastMCP(name="TicketTools", + instructions="票务查询工具，基于 train_tickets, flight_tickets, concert_tickets 表。只支持查询。", + log_level="ERROR", + host="127.0.0.1", port=8001) + + # 实例化票务服务对象 + service = TicketService() + + @ticket_mcp.tool( + name="query_tickets", + description="查询票务数据，输入 SQL，如 'SELECT * FROM train_tickets WHERE departure_city = \"北京\" AND arrival_city = \"上海\"'" + ) + def query_tickets(sql: str) -> str: + logger.info(f"执行票务查询: {sql}") + return service.execute_query(sql) + + # 打印服务器信息 + logger.info("=== 票务MCP服务器信息 ===") + logger.info(f"名称: {ticket_mcp.name}") + logger.info(f"描述: {ticket_mcp.instructions}") + + # 运行服务器 + try: + print("服务器已启动，请访问 http://127.0.0.1:8001/mcp") + ticket_mcp.run(transport="streamable-http") # 使用 streamable-http 传输方式 + except Exception as e: + print(f"服务器启动失败: {e}") +if __name__ == "__main__": + # service = TicketService() + # sql = "SELECT * FROM flight_tickets WHERE departure_city = '上海' AND arrival_city = '北京' AND DATE(departure_time) = '2026-4-15' AND cabin_type = '公务舱'" + # print(service.execute_query(sql)) + create_ticket_mcp_server() \ No newline at end of file diff --git a/SmartVoyage/mcp_server/mcp_weather_server.py b/SmartVoyage/mcp_server/mcp_weather_server.py new file mode 100644 index 0000000..830f8cf --- /dev/null +++ b/SmartVoyage/mcp_server/mcp_weather_server.py @@ -0,0 +1,72 @@ +import mysql.connector +import json +from datetime import date, datetime, timedelta +from decimal import Decimal +from mcp.server.fastmcp import FastMCP + +from SmartVoyage.config import Config +from SmartVoyage.create_logger import logger +from SmartVoyage.utils.format import DateEncoder, default_encoder + +conf = Config() + +# 天气服务类 +class WeatherService: # 定义天气服务类，封装数据库操作逻辑 + def __init__(self): + # 连接数据库 + self.conn = mysql.connector.connect( + host=conf.host, + user=conf.user, + password=conf.password, + database=conf.database + ) + def execute_query(self,sql:str) -> str: + try: + cursor=self.conn.cursor(dictionary=True) + cursor.execute(sql) + results=cursor.fetchall() + cursor.close() + for result in results: + for key,value in result.items(): + if isinstance(value,(date,datetime,timedelta,Decimal)): + result[key]=default_encoder(value) + return json.dumps({'status': 'success', 'data': results} if results else {"status": "no_data", "message": "未找到天气数据，请确认城市和日期。"}, cls=DateEncoder, ensure_ascii=False) + except Exception as e: + logger.error(f"天气查询错误: {str(e)}") + # 返回错误JSON响应 + return json.dumps({"status": "error", "message": str(e)}, ensure_ascii=False) +# 创建天气MCP服务器 +def create_weather_mcp_server(): + # 创建FastMCP实例 + weather_mcp = FastMCP(name="WeatherTools", + instructions="天气查询工具，基于 weather_data 表。", + log_level="ERROR", + host="127.0.0.1", port=8002) + + # 实例化天气服务对象 + service = WeatherService() + + @weather_mcp.tool( + name="query_weather", + description="查询天气数据，输入 SQL，如 'SELECT * FROM weather_data WHERE city = \"北京\" AND fx_date = \"2025-07-30\"'" + ) + def query_weather(sql: str) -> str: + logger.info(f"执行天气查询: {sql}") + return service.execute_query(sql) + + # 打印服务器信息 + logger.info("=== 天气MCP服务器信息 ===") + logger.info(f"名称: {weather_mcp.name}") + logger.info(f"描述: {weather_mcp.instructions}") + + # 运行服务器 + try: + print("服务器已启动，请访问 http://127.0.0.1:8002/mcp") + weather_mcp.run(transport="streamable-http") # 使用 streamable-http 传输方式 + except Exception as e: + print(f"服务器启动失败: {e}") +if __name__ == "__main__": + # service = WeatherService() + # sql = "SELECT * FROM weather_data WHERE city='上海' limit 2" + # print(service.execute_query(sql)) + create_weather_mcp_server() diff --git a/SmartVoyage/mcp_server/practice_mcp.py b/SmartVoyage/mcp_server/practice_mcp.py new file mode 100644 index 0000000..be1224d --- /dev/null +++ b/SmartVoyage/mcp_server/practice_mcp.py @@ -0,0 +1,34 @@ +import mysql.connector +import json +from datetime import datetime,date,timedelta +from decimal import Decimal +from mcp.server.fastmcp import FastMCP +from SmartVoyage.config import Config +from SmartVoyage.create_logger import logger +from SmartVoyage.utils.format import DateEncoder,default_encoder + +config=Config() + +#票务服务 +class TicketService:#定义票务服务类，封装数据库操作逻辑 + def __init__(self):#初始化方法，建立数据库连接 + #连接数据库 + self.conn=mysql.connector.connect( + host=config.host, + user=config.user, + password=config.password, + database=config.database + ) + #定义执行sql查询方法，输入SQL字符串，返回JSON字符串 + def execute_query(self,sql:str) -> str: + try: + cursor=self.conn.cursor(dictionary=True) + cursor.execute(sql) + resultes=cursor.fetchall() + cursor.close() + #格式化结果 + for resulte in resultes:#遍历每个结果字典 + for key,value in resulte.items(): + if isinstance(value,(date,datetime,timedelta,Decimal)):#检查值是否是特殊类型 + resulte[key]=default_encoder(value)#使用自定义编码器格式化该值 + diff --git a/SmartVoyage/sql/concert_tickets_202601251131.csv b/SmartVoyage/sql/concert_tickets_202601251131.csv new file mode 100644 index 0000000..207f440 --- /dev/null +++ b/SmartVoyage/sql/concert_tickets_202601251131.csv @@ -0,0 +1,121 @@ +"id","artist","city","venue","start_time","end_time","ticket_type","total_seats","remaining_seats","price","created_at" +1,刀郎,上海,上海体育馆,"2025-08-26 22:00:00","2025-08-27 00:00:00",内场,403,403,880.00,"2025-07-27 16:05:50" +2,张学友,广州,广州体育馆,"2025-08-26 22:00:00","2025-08-27 00:00:00",看台,431,431,180.00,"2025-07-27 16:05:50" +3,周杰伦,上海,上海体育馆,"2025-08-26 22:00:00","2025-08-27 00:00:00",看台,418,418,50.00,"2025-07-27 16:05:50" +4,五月天,上海,上海体育馆,"2025-08-03 20:11:00","2025-08-04 00:11:00",VIP,428,428,1280.00,"2025-07-27 16:05:50" +5,刀郎,深圳,深圳体育馆,"2025-08-26 22:00:00","2025-08-27 00:00:00",VIP,282,282,1080.00,"2025-07-27 16:05:50" +7,五月天,北京,北京体育馆,"2025-08-26 22:00:00","2025-08-27 00:00:00",看台,380,380,480.00,"2025-07-27 16:05:50" +11,张学友,广州,广州体育馆,"2025-08-26 22:00:00","2025-08-27 00:00:00",内场,305,305,680.00,"2025-07-27 16:05:50" +12,张学友,上海,上海体育馆,"2025-08-02 20:55:00","2025-08-02 23:55:00",VIP,454,454,1080.00,"2025-07-27 16:05:50" +13,周杰伦,北京,北京体育馆,"2025-08-15 20:27:00","2025-08-15 22:27:00",VIP,332,332,1080.00,"2025-07-27 16:05:50" +16,五月天,上海,上海体育馆,"2025-08-26 22:00:00","2025-08-27 00:00:00",内场,365,365,680.00,"2025-07-27 16:05:50" +17,张学友,广州,广州体育馆,"2025-08-26 22:00:00","2025-08-27 00:00:00",VIP,201,201,1080.00,"2025-07-27 16:05:50" +18,刀郎,广州,广州体育馆,"2025-08-26 22:00:00","2025-08-27 00:00:00",看台,388,388,280.00,"2025-07-27 16:05:50" +22,周杰伦,广州,广州体育馆,"2025-08-26 22:00:00","2025-08-27 00:00:00",VIP,257,257,1280.00,"2025-07-27 16:05:50" +23,刀郎,深圳,深圳体育馆,"2025-08-17 20:58:00","2025-08-18 00:58:00",看台,216,216,280.00,"2025-07-27 16:05:50" +25,周杰伦,广州,广州体育馆,"2025-08-19 21:51:00","2025-08-20 01:51:00",VIP,426,426,1080.00,"2025-07-27 16:05:50" +27,刀郎,广州,广州体育馆,"2025-07-29 20:07:00","2025-07-29 23:07:00",看台,295,295,280.00,"2025-07-27 16:05:50" +34,五月天,上海,上海体育馆,"2025-08-26 22:00:00","2025-08-27 00:00:00",VIP,302,302,1080.00,"2025-07-27 16:05:50" +35,五月天,深圳,深圳体育馆,"2025-08-03 21:45:00","2025-08-03 23:45:00",内场,420,420,880.00,"2025-07-27 16:05:50" +43,周杰伦,广州,广州体育馆,"2025-08-26 22:00:00","2025-08-27 00:00:00",内场,360,360,680.00,"2025-07-27 16:05:50" +44,周杰伦,广州,广州体育馆,"2025-08-02 20:41:00","2025-08-02 23:41:00",内场,399,399,880.00,"2025-07-27 16:05:50" +46,刀郎,深圳,深圳体育馆,"2025-08-24 21:07:00","2025-08-25 01:07:00",内场,378,378,880.00,"2025-07-27 16:05:50" +50,五月天,北京,北京体育馆,"2025-08-21 19:07:00","2025-08-21 21:07:00",内场,275,275,880.00,"2025-07-27 16:05:50" +52,五月天,北京,北京体育馆,"2025-08-16 21:32:00","2025-08-17 00:32:00",内场,352,352,680.00,"2025-07-27 16:05:50" +57,五月天,广州,广州体育馆,"2025-08-19 20:28:00","2025-08-20 00:28:00",内场,409,409,880.00,"2025-07-27 16:05:50" +59,周杰伦,深圳,深圳体育馆,"2025-08-01 19:35:00","2025-08-01 21:35:00",内场,411,411,880.00,"2025-07-27 16:05:50" +61,刀郎,上海,上海体育馆,"2025-08-25 19:37:00","2025-08-25 21:37:00",VIP,304,304,1280.00,"2025-07-27 16:05:50" +63,五月天,广州,广州体育馆,"2025-08-06 20:54:00","2025-08-06 22:54:00",VIP,413,413,1280.00,"2025-07-27 16:05:50" +67,五月天,上海,上海体育馆,"2025-08-16 20:08:00","2025-08-17 00:08:00",看台,382,382,180.00,"2025-07-27 16:05:50" +69,周杰伦,广州,广州体育馆,"2025-08-15 21:36:00","2025-08-15 23:36:00",看台,449,449,50.00,"2025-07-27 16:05:50" +70,五月天,广州,广州体育馆,"2025-08-19 21:50:00","2025-08-20 01:50:00",VIP,287,287,1080.00,"2025-07-27 16:05:50" +71,刀郎,深圳,深圳体育馆,"2025-08-09 20:17:00","2025-08-09 22:17:00",看台,441,441,180.00,"2025-07-27 16:05:50" +73,周杰伦,北京,北京体育馆,"2025-08-17 21:13:00","2025-08-18 00:13:00",看台,335,335,180.00,"2025-07-27 16:05:50" +77,张学友,北京,北京体育馆,"2025-08-05 20:11:00","2025-08-05 23:11:00",VIP,251,251,1280.00,"2025-07-27 16:05:50" +78,刀郎,深圳,深圳体育馆,"2025-08-01 21:04:00","2025-08-02 01:04:00",看台,232,232,280.00,"2025-07-27 16:05:50" +79,五月天,广州,广州体育馆,"2025-08-04 20:35:00","2025-08-05 00:35:00",内场,253,253,880.00,"2025-07-27 16:05:50" +80,刀郎,上海,上海体育馆,"2025-08-06 20:32:00","2025-08-07 00:32:00",VIP,489,489,1280.00,"2025-07-27 16:05:50" +83,张学友,上海,上海体育馆,"2025-08-26 21:02:00","2025-08-27 00:00:00",内场,284,284,880.00,"2025-07-27 16:05:50" +85,周杰伦,深圳,深圳体育馆,"2025-08-16 20:54:00","2025-08-17 00:54:00",看台,262,262,50.00,"2025-07-27 16:05:50" +86,周杰伦,北京,北京体育馆,"2025-08-13 20:17:00","2025-08-13 22:17:00",看台,428,428,180.00,"2025-07-27 16:05:50" +88,五月天,广州,广州体育馆,"2025-07-30 19:30:00","2025-07-30 23:30:00",看台,325,325,480.00,"2025-07-27 16:05:50" +90,刀郎,北京,北京体育馆,"2025-08-23 20:04:00","2025-08-24 00:04:00",看台,222,222,180.00,"2025-07-27 16:05:50" +91,周杰伦,上海,上海体育馆,"2025-08-01 21:59:00","2025-08-01 23:59:00",内场,300,300,680.00,"2025-07-27 16:05:50" +98,刀郎,深圳,深圳体育馆,"2025-08-01 20:43:00","2025-08-02 00:43:00",看台,242,242,50.00,"2025-07-27 16:05:50" +99,张学友,广州,广州体育馆,"2025-08-08 21:32:00","2025-08-09 01:32:00",内场,387,387,680.00,"2025-07-27 16:05:50" +101,五月天,上海,上海体育馆,"2025-08-17 20:06:00","2025-08-18 00:06:00",VIP,445,445,1080.00,"2025-07-27 16:05:50" +104,张学友,广州,广州体育馆,"2025-08-08 19:17:00","2025-08-08 23:17:00",VIP,459,459,1080.00,"2025-07-27 16:05:50" +108,周杰伦,北京,北京体育馆,"2025-08-19 21:39:00","2025-08-20 01:39:00",VIP,272,272,1080.00,"2025-07-27 16:05:50" +110,周杰伦,深圳,深圳体育馆,"2025-08-13 21:44:00","2025-08-14 00:44:00",VIP,351,351,1080.00,"2025-07-27 16:05:50" +113,周杰伦,深圳,深圳体育馆,"2025-08-10 20:16:00","2025-08-10 23:16:00",VIP,369,369,1280.00,"2025-07-27 16:05:50" +114,周杰伦,北京,北京体育馆,"2025-08-15 20:57:00","2025-08-15 23:57:00",看台,212,212,480.00,"2025-07-27 16:05:50" +115,张学友,北京,北京体育馆,"2025-07-28 19:37:00","2025-07-28 21:37:00",VIP,222,222,1280.00,"2025-07-27 16:05:50" +116,张学友,北京,北京体育馆,"2025-08-09 19:27:00","2025-08-09 23:27:00",内场,469,469,680.00,"2025-07-27 16:05:50" +119,张学友,北京,北京体育馆,"2025-08-16 19:13:00","2025-08-16 22:13:00",内场,360,360,680.00,"2025-07-27 16:05:50" +122,周杰伦,深圳,深圳体育馆,"2025-08-21 19:20:00","2025-08-21 21:20:00",内场,380,380,680.00,"2025-07-27 16:05:50" +125,刀郎,北京,北京体育馆,"2025-08-11 20:33:00","2025-08-12 00:33:00",看台,490,490,280.00,"2025-07-27 16:05:50" +130,张学友,广州,广州体育馆,"2025-07-29 20:30:00","2025-07-30 00:30:00",VIP,219,219,1280.00,"2025-07-27 16:05:50" +131,刀郎,上海,上海体育馆,"2025-08-14 21:46:00","2025-08-14 23:46:00",VIP,475,475,1080.00,"2025-07-27 16:05:50" +136,周杰伦,广州,广州体育馆,"2025-08-14 20:27:00","2025-08-14 22:27:00",看台,307,307,50.00,"2025-07-27 16:05:50" +137,刀郎,上海,上海体育馆,"2025-08-03 21:28:00","2025-08-04 00:28:00",看台,294,294,480.00,"2025-07-27 16:05:50" +139,周杰伦,深圳,深圳体育馆,"2025-08-08 19:08:00","2025-08-08 21:08:00",VIP,495,495,1280.00,"2025-07-27 16:05:50" +141,周杰伦,广州,广州体育馆,"2025-08-03 21:38:00","2025-08-03 23:38:00",内场,210,210,680.00,"2025-07-27 16:05:50" +144,五月天,北京,北京体育馆,"2025-08-14 22:01:00","2025-08-15 02:01:00",VIP,472,472,1280.00,"2025-07-27 16:05:50" +149,张学友,北京,北京体育馆,"2025-07-29 22:00:00","2025-07-30 01:00:00",看台,461,461,180.00,"2025-07-27 16:05:50" +152,刀郎,北京,北京体育馆,"2025-08-04 21:02:00","2025-08-05 00:02:00",VIP,467,467,1280.00,"2025-07-27 16:05:50" +153,周杰伦,深圳,深圳体育馆,"2025-08-15 20:04:00","2025-08-15 22:04:00",VIP,292,292,1280.00,"2025-07-27 16:05:50" +161,周杰伦,北京,北京体育馆,"2025-08-04 21:18:00","2025-08-04 23:18:00",看台,338,338,280.00,"2025-07-27 16:05:50" +162,五月天,广州,广州体育馆,"2025-08-25 19:44:00","2025-08-25 21:44:00",内场,326,326,680.00,"2025-07-27 16:05:50" +163,张学友,上海,上海体育馆,"2025-08-07 21:21:00","2025-08-08 00:21:00",VIP,400,400,1080.00,"2025-07-27 16:05:50" +165,张学友,深圳,深圳体育馆,"2025-08-11 20:03:00","2025-08-11 22:03:00",看台,421,421,480.00,"2025-07-27 16:05:50" +168,周杰伦,深圳,深圳体育馆,"2025-08-20 20:08:00","2025-08-20 23:08:00",VIP,236,236,1280.00,"2025-07-27 16:05:50" +172,刀郎,广州,广州体育馆,"2025-08-06 19:09:00","2025-08-06 22:09:00",VIP,462,462,1080.00,"2025-07-27 16:05:50" +174,刀郎,深圳,深圳体育馆,"2025-08-25 20:34:00","2025-08-25 22:34:00",看台,326,326,180.00,"2025-07-27 16:05:50" +175,刀郎,深圳,深圳体育馆,"2025-08-26 21:35:00","2025-08-27 00:00:00",VIP,428,428,1280.00,"2025-07-27 16:05:50" +177,五月天,上海,上海体育馆,"2025-07-29 20:39:00","2025-07-30 00:39:00",内场,232,232,680.00,"2025-07-27 16:05:50" +179,周杰伦,深圳,深圳体育馆,"2025-08-02 20:45:00","2025-08-03 00:45:00",VIP,489,489,1280.00,"2025-07-27 16:05:50" +180,周杰伦,深圳,深圳体育馆,"2025-07-28 19:29:00","2025-07-28 23:29:00",内场,287,287,880.00,"2025-07-27 16:05:50" +183,周杰伦,上海,上海体育馆,"2025-08-22 20:01:00","2025-08-23 00:01:00",看台,463,463,280.00,"2025-07-27 16:05:50" +190,周杰伦,北京,北京体育馆,"2025-08-01 21:52:00","2025-08-01 23:52:00",内场,231,231,880.00,"2025-07-27 16:05:50" +191,五月天,广州,广州体育馆,"2025-08-05 20:13:00","2025-08-06 00:13:00",看台,352,352,50.00,"2025-07-27 16:05:50" +199,张学友,北京,北京体育馆,"2025-08-14 20:47:00","2025-08-14 23:47:00",内场,338,338,880.00,"2025-07-27 16:05:50" +201,周杰伦,上海,上海体育馆,"2025-08-17 19:21:00","2025-08-17 23:21:00",看台,310,310,480.00,"2025-07-27 16:05:50" +205,刀郎,北京,北京体育馆,"2025-08-24 21:41:00","2025-08-25 00:41:00",看台,311,311,180.00,"2025-07-27 16:05:50" +209,张学友,广州,广州体育馆,"2025-08-07 19:48:00","2025-08-07 23:48:00",看台,246,246,180.00,"2025-07-27 16:05:50" +211,张学友,深圳,深圳体育馆,"2025-08-03 20:15:00","2025-08-03 22:15:00",看台,202,202,280.00,"2025-07-27 16:05:50" +212,刀郎,深圳,深圳体育馆,"2025-08-25 21:53:00","2025-08-25 23:53:00",内场,300,300,680.00,"2025-07-27 16:05:50" +215,刀郎,北京,北京体育馆,"2025-08-14 20:17:00","2025-08-14 22:17:00",看台,223,223,180.00,"2025-07-27 16:05:50" +216,周杰伦,深圳,深圳体育馆,"2025-08-17 20:59:00","2025-08-17 22:59:00",看台,381,381,280.00,"2025-07-27 16:05:50" +217,周杰伦,广州,广州体育馆,"2025-08-02 20:26:00","2025-08-03 00:26:00",内场,403,403,680.00,"2025-07-27 16:05:50" +218,刀郎,深圳,深圳体育馆,"2025-07-31 19:06:00","2025-07-31 21:06:00",VIP,319,319,1280.00,"2025-07-27 16:05:50" +221,刀郎,广州,广州体育馆,"2025-08-07 20:45:00","2025-08-07 22:45:00",VIP,465,465,1080.00,"2025-07-27 16:05:50" +222,五月天,深圳,深圳体育馆,"2025-08-13 19:14:00","2025-08-13 22:14:00",VIP,479,479,1280.00,"2025-07-27 16:05:50" +223,五月天,北京,北京体育馆,"2025-08-16 20:37:00","2025-08-16 23:37:00",VIP,494,494,1080.00,"2025-07-27 16:05:50" +227,刀郎,广州,广州体育馆,"2025-07-27 21:04:00","2025-07-27 23:04:00",看台,296,296,280.00,"2025-07-27 16:05:50" +228,五月天,深圳,深圳体育馆,"2025-08-15 20:09:00","2025-08-15 22:09:00",看台,233,233,280.00,"2025-07-27 16:05:50" +229,刀郎,广州,广州体育馆,"2025-07-28 21:03:00","2025-07-29 00:03:00",看台,438,438,480.00,"2025-07-27 16:05:50" +231,五月天,北京,北京体育馆,"2025-08-24 20:05:00","2025-08-25 00:05:00",看台,385,385,50.00,"2025-07-27 16:05:50" +237,五月天,上海,上海体育馆,"2025-08-15 20:45:00","2025-08-15 23:45:00",看台,240,240,480.00,"2025-07-27 16:05:50" +241,刀郎,上海,上海体育馆,"2025-07-31 19:54:00","2025-07-31 21:54:00",VIP,332,332,1080.00,"2025-07-27 16:05:50" +244,张学友,上海,上海体育馆,"2025-07-31 21:52:00","2025-08-01 00:52:00",VIP,228,228,1080.00,"2025-07-27 16:05:50" +252,五月天,深圳,深圳体育馆,"2025-08-25 21:54:00","2025-08-26 01:54:00",内场,257,257,880.00,"2025-07-27 16:05:50" +258,周杰伦,上海,上海体育馆,"2025-08-22 19:04:00","2025-08-22 22:04:00",VIP,294,294,1280.00,"2025-07-27 16:05:50" +259,张学友,上海,上海体育馆,"2025-08-05 21:32:00","2025-08-05 23:32:00",内场,430,430,680.00,"2025-07-27 16:05:50" +262,张学友,深圳,深圳体育馆,"2025-08-04 21:26:00","2025-08-05 00:26:00",VIP,318,318,1280.00,"2025-07-27 16:05:50" +266,五月天,北京,北京体育馆,"2025-08-17 21:34:00","2025-08-18 00:34:00",看台,216,216,180.00,"2025-07-27 16:05:50" +268,刀郎,北京,北京体育馆,"2025-08-15 19:49:00","2025-08-15 21:49:00",内场,264,264,880.00,"2025-07-27 16:05:50" +271,刀郎,广州,广州体育馆,"2025-08-17 21:02:00","2025-08-17 23:02:00",VIP,473,473,1280.00,"2025-07-27 16:05:50" +272,张学友,北京,北京体育馆,"2025-08-04 21:37:00","2025-08-05 01:37:00",内场,272,272,680.00,"2025-07-27 16:05:50" +276,周杰伦,北京,北京体育馆,"2025-08-17 21:22:00","2025-08-18 01:22:00",VIP,219,219,1080.00,"2025-07-27 16:05:50" +279,张学友,上海,上海体育馆,"2025-07-29 19:14:00","2025-07-29 23:14:00",内场,256,256,880.00,"2025-07-27 16:05:50" +283,五月天,北京,北京体育馆,"2025-08-22 20:39:00","2025-08-22 22:39:00",VIP,254,254,1080.00,"2025-07-27 16:05:50" +285,张学友,深圳,深圳体育馆,"2025-08-07 19:59:00","2025-08-07 21:59:00",VIP,405,405,1280.00,"2025-07-27 16:05:50" +287,张学友,上海,上海体育馆,"2025-08-18 20:47:00","2025-08-18 22:47:00",内场,317,317,680.00,"2025-07-27 16:05:50" +288,刀郎,广州,广州体育馆,"2025-08-18 21:13:00","2025-08-19 00:13:00",看台,449,449,50.00,"2025-07-27 16:05:50" +292,张学友,北京,北京体育馆,"2025-08-20 20:56:00","2025-08-20 23:56:00",VIP,314,314,1080.00,"2025-07-27 16:05:50" +294,五月天,深圳,深圳体育馆,"2025-08-02 21:40:00","2025-08-03 01:40:00",看台,380,380,180.00,"2025-07-27 16:05:50" +296,张学友,深圳,深圳体育馆,"2025-08-26 20:11:00","2025-08-26 23:11:00",内场,250,250,880.00,"2025-07-27 16:05:50" +297,张学友,广州,广州体育馆,"2025-08-04 20:24:00","2025-08-04 22:24:00",内场,376,376,680.00,"2025-07-27 16:05:50" +298,刀郎,深圳,深圳体育馆,"2025-08-24 20:17:00","2025-08-24 23:17:00",VIP,335,335,1280.00,"2025-07-27 16:05:50" +299,周杰伦,广州,广州体育馆,"2025-08-06 19:55:00","2025-08-06 21:55:00",看台,224,224,180.00,"2025-07-27 16:05:50" +306,刀郎,北京,北京体育馆,"2025-08-22 20:57:00","2025-08-22 23:57:00",VIP,488,488,1080.00,"2025-07-27 16:05:50" diff --git a/SmartVoyage/sql/create_table.sql b/SmartVoyage/sql/create_table.sql new file mode 100644 index 0000000..af5c5dc --- /dev/null +++ b/SmartVoyage/sql/create_table.sql @@ -0,0 +1,87 @@ +DROP DATABASE IF EXISTS travel_rag; +CREATE DATABASE travel_rag CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci; +USE travel_rag; + +-- 火车票表 +CREATE TABLE train_tickets ( + id INT AUTO_INCREMENT PRIMARY KEY COMMENT '主键，自增，唯一标识每条记录', + departure_city VARCHAR(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '出发城市（如“北京”）', + arrival_city VARCHAR(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '到达城市（如“上海”）', + departure_time DATETIME NOT NULL COMMENT '出发时间（如“2025-08-12 07:00:00”）', + arrival_time DATETIME NOT NULL COMMENT '到达时间（如“2025-08-12 11:30:00”）', + train_number VARCHAR(20) NOT NULL COMMENT '火车车次（如“G1001”）', + seat_type VARCHAR(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '座位类型（如“二等座”）', + total_seats INT NOT NULL COMMENT '总座位数（如 1000）', + remaining_seats INT NOT NULL COMMENT '剩余座位数（如 50）', + price DECIMAL(10, 2) NOT NULL COMMENT '票价（如 553.50）', + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间，自动记录插入时间', + UNIQUE KEY unique_train (departure_time, train_number) -- 唯一约束，确保同一时间和车次不重复 +) COMMENT='火车票信息表'; + +-- 机票表 +CREATE TABLE flight_tickets ( + id INT AUTO_INCREMENT PRIMARY KEY COMMENT '主键，自增，唯一标识每条记录', + departure_city VARCHAR(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '出发城市（如“北京”）', + arrival_city VARCHAR(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '到达城市（如“上海”）', + departure_time DATETIME NOT NULL COMMENT '出发时间（如“2025-08-12 08:00:00”）', + arrival_time DATETIME NOT NULL COMMENT '到达时间（如“2025-08-12 10:30:00”）', + flight_number VARCHAR(20) NOT NULL COMMENT '航班号（如“CA1234”）', + cabin_type VARCHAR(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '舱位类型（如“经济舱”）', + total_seats INT NOT NULL COMMENT '总座位数（如 200）', + remaining_seats INT NOT NULL COMMENT '剩余座位数（如 10）', + price DECIMAL(10, 2) NOT NULL COMMENT '票价（如 1200.00）', + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间，自动记录插入时间', + UNIQUE KEY unique_flight (departure_time, flight_number) -- 唯一约束，确保同一时间和航班号不重复 +) COMMENT='航班机票信息表'; + +-- 演唱会票表 +CREATE TABLE concert_tickets ( + id INT AUTO_INCREMENT PRIMARY KEY COMMENT '主键，自增，唯一标识每条记录', + artist VARCHAR(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '艺人名称（如“周杰伦”）', + city VARCHAR(50) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '举办城市（如“上海”）', + venue VARCHAR(100) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '场馆（如“上海体育场”）', + start_time DATETIME NOT NULL COMMENT '开始时间（如“2025-08-12 19:00:00”）', + end_time DATETIME NOT NULL COMMENT '结束时间（如“2025-08-12 22:00:00”）', + ticket_type VARCHAR(20) CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci NOT NULL COMMENT '票类型（如“VIP”）', + total_seats INT NOT NULL COMMENT '总座位数（如 5000）', + remaining_seats INT NOT NULL COMMENT '剩余座位数（如 100）', + price DECIMAL(10, 2) NOT NULL COMMENT '票价（如 880.00）', + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间，自动记录插入时间', + UNIQUE KEY unique_concert (start_time, artist, ticket_type) -- 唯一约束，确保同一时间、艺人和票类型不重复 +) COMMENT='演唱会门票信息表'; + +-- 天气数据表 +DROP TABLE IF EXISTS weather_data; +CREATE TABLE IF NOT EXISTS weather_data ( + id INT AUTO_INCREMENT PRIMARY KEY, + city VARCHAR(50) NOT NULL COMMENT '城市名称', + fx_date DATE NOT NULL COMMENT '预报日期', + sunrise TIME COMMENT '日出时间', + sunset TIME COMMENT '日落时间', + moonrise TIME COMMENT '月升时间', + moonset TIME COMMENT '月落时间', + moon_phase VARCHAR(20) COMMENT '月相名称', + moon_phase_icon VARCHAR(10) COMMENT '月相图标代码', + temp_max INT COMMENT '最高温度', + temp_min INT COMMENT '最低温度', + icon_day VARCHAR(10) COMMENT '白天天气图标代码', + text_day VARCHAR(20) COMMENT '白天天气描述', + icon_night VARCHAR(10) COMMENT '夜间天气图标代码', + text_night VARCHAR(20) COMMENT '夜间天气描述', + wind360_day INT COMMENT '白天风向360角度', + wind_dir_day VARCHAR(20) COMMENT '白天风向', + wind_scale_day VARCHAR(10) COMMENT '白天风力等级', + wind_speed_day INT COMMENT '白天风速 (km/h)', + wind360_night INT COMMENT '夜间风向360角度', + wind_dir_night VARCHAR(20) COMMENT '夜间风向', + wind_scale_night VARCHAR(10) COMMENT '夜间风力等级', + wind_speed_night INT COMMENT '夜间风速 (km/h)', + precip DECIMAL(5,1) COMMENT '降水量 (mm)', + uv_index INT COMMENT '紫外线指数', + humidity INT COMMENT '相对湿度 (%)', + pressure INT COMMENT '大气压强 (hPa)', + vis INT COMMENT '能见度 (km)', + cloud INT COMMENT '云量 (%)', + update_time DATETIME COMMENT '数据更新时间', + UNIQUE KEY unique_city_date (city, fx_date) +) ENGINE=INNODB DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_unicode_ci COMMENT='天气数据表'; diff --git a/SmartVoyage/sql/flight_tickets_202601251131.csv b/SmartVoyage/sql/flight_tickets_202601251131.csv new file mode 100644 index 0000000..36ee01d --- /dev/null +++ b/SmartVoyage/sql/flight_tickets_202601251131.csv @@ -0,0 +1,121 @@ +"id","departure_city","arrival_city","departure_time","arrival_time","flight_number","cabin_type","total_seats","remaining_seats","price","created_at" +1,上海,北京,"2025-09-21 22:00:00","2025-08-27 00:00:00",CA7151,公务舱,148,148,1311.36,"2025-07-27 16:04:21" +2,北京,深圳,"2025-08-13 09:36:00","2025-08-13 11:36:00",CA1270,头等舱,119,119,2290.31,"2025-07-27 16:04:21" +3,上海,北京,"2025-08-01 00:27:00","2025-08-01 05:27:00",CA6557,经济舱,134,134,885.65,"2025-07-27 16:04:21" +4,广州,深圳,"2025-08-09 22:23:00","2025-08-10 02:23:00",CA3321,头等舱,87,87,2736.43,"2025-07-27 16:04:21" +5,上海,深圳,"2025-08-15 09:32:00","2025-08-15 14:32:00",CA5040,头等舱,146,146,2455.01,"2025-07-27 16:04:21" +6,北京,上海,"2025-08-22 21:20:00","2025-08-22 23:20:00",CA3624,公务舱,57,57,1601.75,"2025-07-27 16:04:21" +7,北京,广州,"2025-08-03 17:20:00","2025-08-03 21:20:00",CA1906,公务舱,81,81,1731.53,"2025-07-27 16:04:21" +8,上海,北京,"2025-09-10 21:46:00","2025-08-27 00:00:00",CA8096,经济舱,93,93,680.94,"2025-07-27 16:04:21" +9,上海,广州,"2025-09-11 11:57:00","2025-08-27 00:00:00",CA6284,头等舱,149,149,2851.80,"2025-07-27 16:04:21" +10,上海,北京,"2025-09-02 11:26:00","2025-08-27 00:00:00",CA6382,头等舱,96,96,2835.52,"2025-07-27 16:04:21" +11,广州,上海,"2025-09-24 16:30:00","2025-08-27 00:00:00",CA6744,经济舱,105,105,958.30,"2025-07-27 16:04:21" +12,上海,广州,"2025-08-24 22:39:00","2025-08-25 02:39:00",CA1212,公务舱,52,52,1337.76,"2025-07-27 16:04:21" +13,深圳,广州,"2025-09-09 20:06:00","2025-08-27 00:00:00",CA5548,经济舱,125,125,990.82,"2025-07-27 16:04:21" +14,北京,深圳,"2025-09-12 18:40:00","2025-08-27 00:00:00",CA1459,头等舱,130,130,2410.36,"2025-07-27 16:04:21" +15,深圳,上海,"2025-09-23 18:50:00","2025-08-27 00:00:00",CA5385,经济舱,75,75,665.93,"2025-07-27 16:04:21" +16,深圳,广州,"2025-09-16 22:14:00","2025-08-27 00:00:00",CA5159,头等舱,89,89,2301.25,"2025-07-27 16:04:21" +17,上海,北京,"2025-08-10 13:15:00","2025-08-10 14:15:00",CA5696,经济舱,129,129,604.37,"2025-07-27 16:04:21" +18,上海,北京,"2025-08-11 22:52:00","2025-08-12 02:52:00",CA8751,经济舱,96,96,678.59,"2025-07-27 16:04:21" +19,广州,上海,"2025-08-02 00:11:00","2025-08-02 05:11:00",CA4339,经济舱,101,101,631.34,"2025-07-27 16:04:21" +20,广州,上海,"2025-08-18 15:42:00","2025-08-18 16:42:00",CA3244,经济舱,114,114,806.98,"2025-07-27 16:04:21" +21,深圳,广州,"2025-07-30 22:33:00","2025-07-30 23:33:00",CA4724,头等舱,87,87,2996.21,"2025-07-27 16:04:21" +22,广州,北京,"2025-08-01 15:06:00","2025-08-01 16:06:00",CA4167,经济舱,51,51,749.33,"2025-07-27 16:04:21" +23,广州,北京,"2025-09-08 14:05:00","2025-08-27 00:00:00",CA3184,头等舱,59,59,2386.98,"2025-07-27 16:04:21" +24,深圳,广州,"2025-09-16 13:30:00","2025-08-27 00:00:00",CA2898,公务舱,69,69,1581.42,"2025-07-27 16:04:21" +25,上海,深圳,"2025-09-24 00:38:00","2025-08-27 00:00:00",CA4504,公务舱,79,79,1724.66,"2025-07-27 16:04:21" +26,上海,深圳,"2025-08-20 13:54:00","2025-08-20 18:54:00",CA8638,头等舱,94,94,2472.95,"2025-07-27 16:04:21" +27,深圳,上海,"2025-08-03 19:03:00","2025-08-03 23:03:00",CA1764,头等舱,123,123,2560.29,"2025-07-27 16:04:21" +28,上海,深圳,"2025-08-27 16:32:00","2025-08-27 00:00:00",CA7695,头等舱,135,135,2593.06,"2025-07-27 16:04:21" +29,上海,深圳,"2025-09-11 15:54:00","2025-08-27 00:00:00",CA2637,公务舱,66,66,1856.64,"2025-07-27 16:04:21" +30,上海,广州,"2025-09-24 08:48:00","2025-08-27 00:00:00",CA3274,经济舱,76,76,926.89,"2025-07-27 16:04:21" +31,广州,北京,"2025-08-16 16:14:00","2025-08-16 18:14:00",CA3246,公务舱,62,62,1438.12,"2025-07-27 16:04:21" +32,深圳,北京,"2025-08-28 12:14:00","2025-08-27 00:00:00",CA2174,经济舱,131,131,1121.44,"2025-07-27 16:04:21" +33,北京,上海,"2025-09-01 15:32:00","2025-08-27 00:00:00",CA2714,经济舱,133,133,629.95,"2025-07-27 16:04:21" +34,上海,北京,"2025-08-08 09:04:00","2025-08-08 12:04:00",CA1284,公务舱,82,82,1638.03,"2025-07-27 16:04:21" +35,北京,广州,"2025-09-03 22:08:00","2025-08-27 00:00:00",CA6851,经济舱,56,56,503.59,"2025-07-27 16:04:21" +36,广州,北京,"2025-08-03 22:30:00","2025-08-04 03:30:00",CA7417,头等舱,72,72,2014.35,"2025-07-27 16:04:21" +37,深圳,上海,"2025-07-31 07:45:00","2025-07-31 10:45:00",CA8102,经济舱,70,70,853.45,"2025-07-27 16:04:21" +38,北京,上海,"2025-07-30 12:46:00","2025-07-30 17:46:00",CA2104,头等舱,58,58,2938.34,"2025-07-27 16:04:21" +39,北京,上海,"2025-08-11 09:03:00","2025-08-11 12:03:00",CA1085,经济舱,80,80,923.65,"2025-07-27 16:04:21" +40,深圳,北京,"2025-08-28 12:31:00","2025-08-27 00:00:00",CA5786,经济舱,98,98,1096.58,"2025-07-27 16:04:21" +41,深圳,北京,"2025-09-17 14:03:00","2025-08-27 00:00:00",CA7813,经济舱,119,119,1146.29,"2025-07-27 16:04:21" +42,北京,广州,"2025-08-28 08:15:00","2025-08-27 00:00:00",CA3636,公务舱,58,58,1560.16,"2025-07-27 16:04:21" +43,广州,北京,"2025-09-02 13:23:00","2025-08-27 00:00:00",CA8286,公务舱,136,136,1599.04,"2025-07-27 16:04:21" +44,广州,深圳,"2025-09-19 07:13:00","2025-08-27 00:00:00",CA4803,头等舱,88,88,2556.78,"2025-07-27 16:04:21" +45,广州,上海,"2025-09-06 19:26:00","2025-08-27 00:00:00",CA9428,头等舱,56,56,2478.31,"2025-07-27 16:04:21" +46,广州,北京,"2025-09-08 15:44:00","2025-08-27 00:00:00",CA3851,公务舱,81,81,1774.53,"2025-07-27 16:04:21" +47,上海,广州,"2025-08-12 14:02:00","2025-08-12 16:02:00",CA2493,头等舱,150,150,2898.23,"2025-07-27 16:04:21" +48,深圳,上海,"2025-09-07 00:34:00","2025-08-27 00:00:00",CA6405,经济舱,95,95,555.32,"2025-07-27 16:04:21" +49,广州,北京,"2025-09-12 20:15:00","2025-08-27 00:00:00",CA5318,公务舱,62,62,1991.59,"2025-07-27 16:04:21" +50,北京,深圳,"2025-09-01 21:13:00","2025-08-27 00:00:00",CA8925,公务舱,110,110,1633.21,"2025-07-27 16:04:21" +51,上海,广州,"2025-09-18 18:35:00","2025-08-27 00:00:00",CA7931,公务舱,123,123,1304.42,"2025-07-27 16:04:21" +52,广州,深圳,"2025-09-07 07:02:00","2025-08-27 00:00:00",CA8830,经济舱,71,71,695.24,"2025-07-27 16:04:21" +53,深圳,北京,"2025-09-14 00:28:00","2025-08-27 00:00:00",CA3742,经济舱,57,57,532.13,"2025-07-27 16:04:21" +54,广州,上海,"2025-09-04 08:51:00","2025-08-27 00:00:00",CA3248,经济舱,85,85,885.20,"2025-07-27 16:04:21" +55,北京,深圳,"2025-08-13 16:39:00","2025-08-13 17:39:00",CA4473,经济舱,91,91,506.43,"2025-07-27 16:04:21" +56,北京,广州,"2025-09-16 13:44:00","2025-08-27 00:00:00",CA1201,头等舱,100,100,2139.98,"2025-07-27 16:04:21" +57,广州,上海,"2025-09-08 16:57:00","2025-08-27 00:00:00",CA7206,经济舱,95,95,784.11,"2025-07-27 16:04:21" +58,广州,深圳,"2025-08-31 13:14:00","2025-08-27 00:00:00",CA7429,经济舱,54,54,954.49,"2025-07-27 16:04:21" +59,上海,深圳,"2025-08-10 13:44:00","2025-08-10 14:44:00",CA4709,经济舱,125,125,594.29,"2025-07-27 16:04:21" +60,深圳,上海,"2025-08-03 08:05:00","2025-08-03 12:05:00",CA4574,头等舱,117,117,2614.51,"2025-07-27 16:04:21" +61,深圳,广州,"2025-09-14 20:57:00","2025-08-27 00:00:00",CA7019,公务舱,111,111,1524.63,"2025-07-27 16:04:21" +62,深圳,广州,"2025-09-15 12:41:00","2025-08-27 00:00:00",CA7257,头等舱,101,101,2210.88,"2025-07-27 16:04:21" +63,深圳,广州,"2025-07-27 16:52:00","2025-07-27 18:52:00",CA8321,公务舱,137,137,1615.02,"2025-07-27 16:04:21" +64,北京,上海,"2025-08-23 09:59:00","2025-08-23 10:59:00",CA4293,公务舱,98,98,1878.45,"2025-07-27 16:04:21" +65,广州,深圳,"2025-08-23 10:06:00","2025-08-23 14:06:00",CA8471,头等舱,52,52,2157.26,"2025-07-27 16:04:21" +66,广州,北京,"2025-08-04 17:13:00","2025-08-04 18:13:00",CA2987,公务舱,75,75,1770.52,"2025-07-27 16:04:21" +67,广州,上海,"2025-09-24 00:36:00","2025-08-27 00:00:00",CA7851,头等舱,58,58,2015.88,"2025-07-27 16:04:21" +68,上海,北京,"2025-09-11 19:49:00","2025-08-27 00:00:00",CA7328,头等舱,67,67,2530.49,"2025-07-27 16:04:21" +69,北京,广州,"2025-08-16 11:41:00","2025-08-16 16:41:00",CA5645,公务舱,108,108,1840.09,"2025-07-27 16:04:21" +70,广州,深圳,"2025-09-02 19:16:00","2025-08-27 00:00:00",CA4124,头等舱,106,106,2423.91,"2025-07-27 16:04:21" +71,广州,深圳,"2025-08-26 20:11:00","2025-08-26 22:11:00",CA2124,公务舱,58,58,1873.24,"2025-07-27 16:04:21" +72,深圳,北京,"2025-08-16 18:06:00","2025-08-16 19:06:00",CA1397,经济舱,109,109,1058.82,"2025-07-27 16:04:21" +73,广州,深圳,"2025-09-14 23:44:00","2025-08-27 00:00:00",CA8512,头等舱,91,91,2556.04,"2025-07-27 16:04:21" +74,深圳,上海,"2025-08-27 13:13:00","2025-08-27 00:00:00",CA8073,经济舱,50,50,612.09,"2025-07-27 16:04:21" +75,上海,广州,"2025-08-29 12:38:00","2025-08-27 00:00:00",CA4782,公务舱,118,118,1524.59,"2025-07-27 16:04:21" +76,广州,北京,"2025-09-22 12:09:00","2025-08-27 00:00:00",CA7280,经济舱,125,125,1167.26,"2025-07-27 16:04:21" +77,深圳,上海,"2025-09-22 21:36:00","2025-08-27 00:00:00",CA2829,经济舱,95,95,518.21,"2025-07-27 16:04:21" +78,北京,上海,"2025-09-05 00:54:00","2025-08-27 00:00:00",CA6247,头等舱,67,67,2339.68,"2025-07-27 16:04:21" +79,广州,上海,"2025-08-19 15:56:00","2025-08-19 20:56:00",CA4457,头等舱,142,142,2796.88,"2025-07-27 16:04:21" +80,北京,上海,"2025-08-06 06:57:00","2025-08-06 11:57:00",CA3933,公务舱,104,104,1499.78,"2025-07-27 16:04:21" +81,北京,广州,"2025-07-31 19:51:00","2025-07-31 20:51:00",CA5990,经济舱,121,121,711.14,"2025-07-27 16:04:21" +82,上海,广州,"2025-09-01 22:37:00","2025-08-27 00:00:00",CA1435,头等舱,103,103,2397.56,"2025-07-27 16:04:21" +83,广州,深圳,"2025-08-10 20:34:00","2025-08-10 21:34:00",CA8408,头等舱,104,104,2512.60,"2025-07-27 16:04:21" +84,广州,北京,"2025-07-30 21:02:00","2025-07-30 22:02:00",CA9211,经济舱,97,97,1092.13,"2025-07-27 16:04:21" +85,广州,深圳,"2025-09-25 00:52:00","2025-08-27 00:00:00",CA3700,经济舱,102,102,902.71,"2025-07-27 16:04:21" +86,广州,上海,"2025-07-31 19:46:00","2025-08-01 00:46:00",CA6241,头等舱,109,109,2894.67,"2025-07-27 16:04:21" +87,上海,北京,"2025-09-14 23:22:00","2025-08-27 00:00:00",CA3245,公务舱,123,123,1301.33,"2025-07-27 16:04:21" +88,北京,上海,"2025-08-31 21:02:00","2025-08-27 00:00:00",CA9695,头等舱,55,55,2463.32,"2025-07-27 16:04:21" +89,广州,深圳,"2025-09-25 14:14:00","2025-08-27 00:00:00",CA7785,公务舱,62,62,1754.83,"2025-07-27 16:04:21" +90,上海,广州,"2025-09-03 19:39:00","2025-08-27 00:00:00",CA6577,头等舱,95,95,2543.82,"2025-07-27 16:04:21" +91,北京,广州,"2025-08-13 00:04:00","2025-08-13 03:04:00",CA7722,头等舱,137,137,2344.17,"2025-07-27 16:04:21" +92,上海,北京,"2025-07-28 15:26:00","2025-07-28 18:26:00",CA4722,经济舱,106,106,878.85,"2025-07-27 16:04:21" +93,北京,上海,"2025-09-17 23:50:00","2025-08-27 00:00:00",CA3197,公务舱,100,100,1240.91,"2025-07-27 16:04:21" +94,北京,广州,"2025-08-23 18:41:00","2025-08-23 21:41:00",CA4501,经济舱,66,66,884.40,"2025-07-27 16:04:21" +95,广州,北京,"2025-09-03 12:28:00","2025-08-27 00:00:00",CA5092,头等舱,102,102,2610.10,"2025-07-27 16:04:21" +96,深圳,北京,"2025-08-19 13:20:00","2025-08-19 16:20:00",CA2989,经济舱,70,70,829.00,"2025-07-27 16:04:21" +97,上海,北京,"2025-09-18 19:27:00","2025-08-27 00:00:00",CA7162,公务舱,145,145,1928.03,"2025-07-27 16:04:21" +98,上海,广州,"2025-08-02 23:55:00","2025-08-03 02:55:00",CA2917,经济舱,82,82,584.62,"2025-07-27 16:04:21" +99,上海,广州,"2025-08-11 15:41:00","2025-08-11 16:41:00",CA7090,经济舱,58,58,890.63,"2025-07-27 16:04:21" +100,广州,深圳,"2025-08-16 17:37:00","2025-08-16 20:37:00",CA9163,头等舱,50,50,2405.28,"2025-07-27 16:04:21" +101,上海,深圳,"2025-09-15 14:31:00","2025-08-27 00:00:00",CA7520,经济舱,92,92,1045.44,"2025-07-27 16:04:21" +102,上海,北京,"2025-09-19 13:51:00","2025-08-27 00:00:00",CA2409,公务舱,88,88,1442.46,"2025-07-27 16:04:21" +103,深圳,上海,"2025-08-28 11:05:00","2025-08-27 00:00:00",CA5510,头等舱,66,66,2969.17,"2025-07-27 16:04:21" +104,深圳,上海,"2025-08-02 08:25:00","2025-08-02 11:25:00",CA2274,经济舱,84,84,546.04,"2025-07-27 16:04:21" +105,深圳,广州,"2025-09-07 19:03:00","2025-08-27 00:00:00",CA5416,经济舱,145,145,1041.12,"2025-07-27 16:04:21" +106,广州,上海,"2025-08-08 17:17:00","2025-08-08 22:17:00",CA9553,经济舱,108,108,1172.30,"2025-07-27 16:04:21" +107,上海,广州,"2025-08-07 23:13:00","2025-08-08 00:13:00",CA8253,公务舱,97,97,1295.42,"2025-07-27 16:04:21" +108,深圳,上海,"2025-09-22 22:33:00","2025-08-27 00:00:00",CA6255,头等舱,94,94,2729.88,"2025-07-27 16:04:21" +109,北京,深圳,"2025-09-22 00:05:00","2025-08-27 00:00:00",CA7690,头等舱,102,102,2278.72,"2025-07-27 16:04:21" +110,北京,广州,"2025-08-11 21:01:00","2025-08-12 02:01:00",CA3625,头等舱,61,61,2150.65,"2025-07-27 16:04:21" +111,北京,深圳,"2025-09-20 10:03:00","2025-08-27 00:00:00",CA5282,经济舱,99,99,893.35,"2025-07-27 16:04:21" +112,北京,广州,"2025-08-25 10:54:00","2025-08-25 15:54:00",CA5992,公务舱,62,62,1479.05,"2025-07-27 16:04:21" +113,广州,北京,"2025-08-10 16:02:00","2025-08-10 18:02:00",CA3044,公务舱,73,73,1573.03,"2025-07-27 16:04:21" +114,北京,上海,"2025-09-09 00:46:00","2025-08-27 00:00:00",CA5397,公务舱,137,137,1722.66,"2025-07-27 16:04:21" +115,深圳,广州,"2025-09-11 22:03:00","2025-08-27 00:00:00",CA9216,头等舱,91,91,2712.58,"2025-07-27 16:04:21" +116,广州,北京,"2025-09-04 10:57:00","2025-08-27 00:00:00",CA3316,头等舱,122,122,2651.39,"2025-07-27 16:04:21" +117,上海,广州,"2025-09-04 15:42:00","2025-08-27 00:00:00",CA1997,公务舱,105,105,1729.53,"2025-07-27 16:04:21" +118,广州,北京,"2025-08-02 11:53:00","2025-08-02 12:53:00",CA6923,头等舱,127,127,2537.66,"2025-07-27 16:04:21" +119,北京,上海,"2025-09-19 23:26:00","2025-08-27 00:00:00",CA7566,经济舱,99,99,1066.76,"2025-07-27 16:04:21" +120,上海,深圳,"2025-08-21 22:29:00","2025-08-22 01:29:00",CA4422,头等舱,118,118,2441.84,"2025-07-27 16:04:21" diff --git a/SmartVoyage/sql/insert_data.sql b/SmartVoyage/sql/insert_data.sql new file mode 100644 index 0000000..f4fbe66 --- /dev/null +++ b/SmartVoyage/sql/insert_data.sql @@ -0,0 +1,28 @@ +insert into travel_rag.weather_data(`id`,`city`,`fx_date`,`sunrise`,`sunset`,`moonrise`,`moonset`,`moon_phase`,`moon_phase_icon`,`temp_max`,`temp_min`,`icon_day`,`text_day`,`icon_night`,`text_night`,`wind360_day`,`wind_dir_day`,`wind_scale_day`,`wind_speed_day`,`wind360_night`,`wind_dir_night`,`wind_scale_night`,`wind_speed_night`,`precip`,`uv_index`,`humidity`,`pressure`,`vis`,`cloud`,`update_time`) values (241,'北京','2025-07-28','05:10:00','19:33:00','08:36:00','21:34:00','蛾眉月','801',30,25,'302','雷阵雨','307','大雨',225,'西南风','1-3',3,270,'西风','1-3',3,'2.1',8,89,992,20,40,'2025-07-28 14:52:00'),(242,'北京','2025-07-29','05:11:00','19:33:00','09:39:00','21:54:00','蛾眉月','801',33,24,'302','雷阵雨','151','多云',270,'西风','1-3',3,45,'东北风','1-3',3,'7.8',5,85,994,24,48,'2025-07-28 14:52:00'),(243,'北京','2025-07-30','05:11:00','19:32:00','10:40:00','22:13:00','蛾眉月','801',32,24,'101','多云','104','阴',90,'东风','1-3',3,45,'东北风','1-3',3,'1.0',10,83,995,24,40,'2025-07-28 14:52:00'),(244,'北京','2025-07-31','05:12:00','19:31:00','11:40:00','22:34:00','蛾眉月','801',30,24,'101','多云','151','多云',135,'东南风','1-3',3,45,'东北风','1-3',3,'1.0',5,88,996,24,40,'2025-07-28 14:52:00'),(245,'北京','2025-08-01','05:13:00','19:30:00','12:41:00','22:58:00','上弦月','802',30,24,'104','阴','104','阴',180,'南风','1-3',3,135,'东南风','1-3',3,'0.0',9,69,995,24,25,'2025-07-28 14:52:00'),(246,'北京','2025-08-02','05:14:00','19:29:00','13:43:00','23:24:00','盈凸月','803',32,24,'302','雷阵雨','151','多云',135,'东南风','1-3',3,135,'东南风','1-3',3,'0.0',9,72,992,22,2,'2025-07-28 14:52:00'),(247,'北京','2025-08-03','05:15:00','19:27:00','14:45:00','23:59:00','盈凸月','803',32,24,'101','多云','302','雷阵雨',225,'西南风','1-3',3,0,'北风','1-3',3,'0.3',5,80,995,24,40,'2025-07-28 14:52:00'),(248,'北京','2025-08-04','05:16:00','19:26:00','15:46:00','00:00:00','盈凸月','803',32,23,'305','小雨','104','阴',135,'东南风','1-3',3,45,'东北风','1-3',3,'16.7',9,90,993,20,85,'2025-07-28 14:52:00'),(249,'北京','2025-08-05','05:17:00','19:25:00','16:43:00','00:40:00','盈凸月','803',32,24,'101','多云','150','晴',180,'南风','1-3',3,45,'东北风','1-3',3,'0.0',9,91,993,25,1,'2025-07-28 14:52:00'),(250,'北京','2025-08-06','05:18:00','19:24:00','17:34:00','01:29:00','盈凸月','803',34,25,'104','阴','104','阴',180,'南风','1-3',3,90,'东风','1-3',3,'0.0',9,76,997,24,0,'2025-07-28 14:52:00'),(251,'北京','2025-08-07','05:19:00','19:23:00','18:18:00','02:28:00','盈凸月','803',33,20,'305','小雨','305','小雨',270,'西风','1-3',3,315,'西北风','1-3',3,'0.0',5,82,1000,23,10,'2025-07-28 14:52:00'),(252,'北京','2025-08-08','05:20:00','19:22:00','18:55:00','03:34:00','盈凸月','803',31,18,'101','多云','151','多云',0,'北风','1-3',3,0,'北风','1-3',3,'0.0',9,89,1000,22,15,'2025-07-28 14:52:00'),(253,'北京','2025-08-09','05:21:00','19:21:00','19:26:00','04:44:00','满月','804',30,18,'104','阴','150','晴',0,'北风','1-3',3,0,'北风','1-3',3,'0.6',9,85,999,24,56,'2025-07-28 14:52:00'),(254,'北京','2025-08-10','05:22:00','19:19:00','19:54:00','05:55:00','亏凸月','805',34,20,'101','多云','104','阴',225,'西南风','1-3',3,225,'西南风','1-3',3,'0.0',8,72,997,25,20,'2025-07-28 14:52:00'),(255,'北京','2025-08-11','05:23:00','19:18:00','20:19:00','07:06:00','亏凸月','805',33,24,'101','多云','302','雷阵雨',180,'南风','1-3',3,180,'南风','1-3',3,'0.0',9,88,999,24,6,'2025-08-11 20:18:00'),(256,'北京','2025-08-12','05:24:00','19:17:00','20:44:00','08:17:00','亏凸月','805',31,22,'302','雷阵雨','306','中雨',90,'东风','1-3',3,0,'北风','1-3',3,'5.0',5,94,1003,24,80,'2025-08-11 20:18:00'),(257,'北京','2025-08-13','05:25:00','19:16:00','21:08:00','09:29:00','亏凸月','805',31,23,'302','雷阵雨','151','多云',225,'西南风','1-3',3,0,'北风','1-3',3,'0.0',3,94,1005,24,25,'2025-08-11 20:18:00'),(258,'北京','2025-08-14','05:26:00','19:14:00','21:36:00','10:44:00','亏凸月','805',31,23,'104','阴','302','雷阵雨',180,'南风','1-3',3,135,'东南风','1-3',3,'0.0',9,95,1005,19,25,'2025-08-11 20:18:00'),(259,'北京','2025-08-15','05:27:00','19:13:00','22:07:00','12:02:00','亏凸月','805',31,23,'101','多云','302','雷阵雨',180,'南风','1-3',3,135,'东南风','1-3',3,'0.0',5,91,1002,24,14,'2025-08-11 20:18:00'),(260,'北京','2025-08-16','05:28:00','19:12:00','22:46:00','13:19:00','下弦月','806',31,24,'302','雷阵雨','302','雷阵雨',180,'南风','1-3',3,180,'南风','1-3',3,'4.9',3,92,1002,23,88,'2025-08-11 20:18:00'),(261,'北京','2025-08-17','05:29:00','19:10:00','23:34:00','14:37:00','残月','807',31,24,'302','雷阵雨','104','阴',180,'南风','1-3',3,180,'南风','1-3',3,'1.0',2,95,998,22,55,'2025-08-11 20:18:00'),(262,'北京','2025-08-18','05:30:00','19:09:00','00:00:00','15:50:00','残月','807',30,24,'104','阴','305','小雨',180,'南风','1-3',3,0,'北风','1-3',3,'2.5',2,90,998,25,55,'2025-08-11 20:18:00'),(263,'北京','2025-08-19','05:31:00','19:08:00','00:33:00','16:52:00','残月','807',31,23,'104','阴','305','小雨',90,'东风','1-3',3,0,'北风','1-3',3,'4.6',2,97,996,7,55,'2025-08-11 20:18:00'),(264,'北京','2025-08-20','05:31:00','19:06:00','01:40:00','17:41:00','残月','807',31,23,'305','小雨','305','小雨',45,'东北风','1-3',3,45,'东北风','1-3',3,'0.0',4,97,996,12,10,'2025-08-11 20:18:00'),(265,'北京','2025-08-21','05:32:00','19:05:00','02:53:00','18:19:00','残月','807',28,23,'305','小雨','305','小雨',180,'南风','1-3',3,0,'北风','1-3',3,'22.4',1,81,1005,24,80,'2025-08-11 20:18:00'),(266,'北京','2025-08-22','05:33:00','19:03:00','04:05:00','18:51:00','残月','807',29,19,'104','阴','104','阴',45,'东北风','1-3',16,135,'东南风','1-3',3,'0.0',8,77,1009,24,2,'2025-08-11 20:18:00'),(267,'北京','2025-08-23','05:34:00','19:02:00','05:16:00','19:16:00','新月','800',26,19,'101','多云','104','阴',180,'南风','1-3',3,180,'南风','1-3',3,'5.9',4,90,1008,20,65,'2025-08-11 20:18:00'),(268,'北京','2025-08-24','05:35:00','19:00:00','06:23:00','19:38:00','蛾眉月','801',28,21,'104','阴','305','小雨',180,'南风','1-3',3,0,'北风','1-3',3,'0.6',2,92,1006,16,56,'2025-08-11 20:18:00'),(269,'北京','2025-08-25','05:36:00','18:59:00','07:27:00','19:59:00','蛾眉月','801',23,20,'305','小雨','104','阴',0,'北风','1-3',3,0,'北风','1-3',3,'1.4',2,99,1000,12,55,'2025-08-11 20:18:00'),(270,'北京','2025-08-26','05:37:00','18:57:00','08:29:00','20:17:00','蛾眉月','801',27,21,'302','雷阵雨','302','雷阵雨',122,'东南风','1-3',7,145,'东南风','1-3',11,'11.2',2,91,1003,24,69,'2025-08-11 20:18:00'),(271,'上海','2025-07-28','05:09:00','18:54:00','08:21:00','21:10:00','蛾眉月','801',31,25,'305','小雨','305','小雨',90,'东风','1-3',16,90,'东风','1-3',3,'3.8',5,80,999,24,78,'2025-07-28 14:52:00'),(272,'上海','2025-07-29','05:09:00','18:53:00','09:18:00','21:35:00','蛾眉月','801',29,26,'310','暴雨','306','中雨',135,'东南风','1-3',16,90,'东风','1-3',16,'28.0',3,95,995,4,98,'2025-07-28 14:52:00'),(273,'上海','2025-07-30','05:10:00','18:52:00','10:13:00','22:01:00','蛾眉月','801',29,26,'307','大雨','307','大雨',135,'东南风','1-3',16,135,'东南风','1-3',16,'10.4',6,95,990,12,87,'2025-07-28 14:52:00'),(274,'上海','2025-07-31','05:11:00','18:52:00','11:08:00','22:26:00','蛾眉月','801',31,27,'305','小雨','305','小雨',135,'东南风','1-3',16,135,'东南风','1-3',16,'1.0',11,93,996,24,40,'2025-07-28 14:52:00'),(275,'上海','2025-08-01','05:11:00','18:51:00','12:03:00','22:56:00','上弦月','802',32,28,'305','小雨','104','阴',135,'东南风','1-3',16,135,'东南风','1-3',16,'0.7',9,96,996,23,56,'2025-07-28 14:52:00'),(276,'上海','2025-08-02','05:12:00','18:50:00','12:59:00','23:27:00','盈凸月','803',32,27,'305','小雨','305','小雨',135,'东南风','1-3',16,90,'东风','1-3',3,'2.5',5,91,998,24,41,'2025-07-28 14:52:00'),(277,'上海','2025-08-03','05:13:00','18:50:00','13:57:00','00:00:00','盈凸月','803',33,28,'104','阴','151','多云',135,'东南风','1-3',3,0,'北风','1-3',3,'2.4',8,84,1001,25,43,'2025-07-28 14:52:00'),(278,'上海','2025-08-04','05:13:00','18:49:00','14:54:00','00:05:00','盈凸月','803',34,28,'305','小雨','151','多云',135,'东南风','1-3',3,180,'南风','1-3',3,'0.0',8,81,1001,24,25,'2025-07-28 14:52:00'),(279,'上海','2025-08-05','05:14:00','18:48:00','15:50:00','00:50:00','盈凸月','803',35,28,'100','晴','104','阴',135,'东南风','1-3',3,225,'西南风','1-3',3,'1.8',8,83,1000,25,63,'2025-07-28 14:52:00'),(280,'上海','2025-08-06','05:15:00','18:47:00','16:42:00','01:40:00','盈凸月','803',35,29,'305','小雨','104','阴',180,'南风','1-3',3,90,'东风','1-3',3,'8.5',7,89,1001,24,64,'2025-07-28 14:52:00'),(281,'上海','2025-08-07','05:15:00','18:46:00','17:29:00','02:38:00','盈凸月','803',35,28,'104','阴','104','阴',90,'东风','1-3',3,90,'东风','1-3',3,'8.5',5,91,1001,24,64,'2025-07-28 14:52:00'),(282,'上海','2025-08-08','05:16:00','18:45:00','18:11:00','03:39:00','盈凸月','803',38,29,'104','阴','104','阴',45,'东北风','1-3',3,90,'东风','1-3',3,'7.3',5,95,999,24,61,'2025-07-28 14:52:00'),(283,'上海','2025-08-09','05:17:00','18:44:00','18:48:00','04:44:00','满月','804',37,28,'305','小雨','305','小雨',90,'东风','1-3',3,0,'北风','1-3',3,'0.0',4,95,996,23,25,'2025-07-28 14:52:00'),(284,'上海','2025-08-10','05:17:00','18:44:00','19:22:00','05:49:00','亏凸月','805',33,28,'305','小雨','305','小雨',0,'北风','1-3',3,270,'西风','1-3',3,'12.1',3,96,997,15,65,'2025-07-28 14:52:00'),(285,'上海','2025-08-11','05:18:00','18:43:00','19:53:00','06:54:00','亏凸月','805',35,27,'305','小雨','305','小雨',45,'东北风','1-3',3,90,'东风','1-3',3,'4.1',7,94,1005,24,55,'2025-08-11 20:18:00'),(286,'上海','2025-08-12','05:18:00','18:42:00','20:24:00','07:59:00','亏凸月','805',35,28,'305','小雨','104','阴',180,'南风','1-3',3,180,'南风','1-3',3,'3.3',3,82,1008,24,88,'2025-08-11 20:18:00'),(287,'上海','2025-08-13','05:19:00','18:41:00','20:55:00','09:04:00','亏凸月','805',35,28,'104','阴','104','阴',180,'南风','1-3',3,180,'南风','1-3',16,'0.0',11,83,1011,25,5,'2025-08-11 20:18:00'),(288,'上海','2025-08-14','05:20:00','18:40:00','21:29:00','10:11:00','亏凸月','805',35,28,'104','阴','104','阴',135,'东南风','1-3',16,180,'南风','1-3',16,'0.0',9,82,1011,25,4,'2025-08-11 20:18:00'),(289,'上海','2025-08-15','05:20:00','18:39:00','22:07:00','11:21:00','亏凸月','805',35,27,'101','多云','104','阴',135,'东南风','1-3',16,135,'东南风','1-3',3,'0.0',11,82,1011,25,2,'2025-08-11 20:18:00'),(290,'上海','2025-08-16','05:21:00','18:38:00','22:52:00','12:33:00','下弦月','806',35,27,'104','阴','104','阴',135,'东南风','1-3',16,135,'东南风','1-3',3,'0.0',11,85,1011,25,2,'2025-08-11 20:18:00'),(291,'上海','2025-08-17','05:22:00','18:37:00','23:44:00','13:46:00','残月','807',35,27,'104','阴','104','阴',135,'东南风','1-3',3,180,'南风','1-3',3,'0.0',10,83,1009,25,3,'2025-08-11 20:18:00'),(292,'上海','2025-08-18','05:22:00','18:36:00','00:00:00','14:56:00','残月','807',36,28,'104','阴','150','晴',135,'东南风','1-3',3,180,'南风','1-3',3,'0.0',10,83,1008,25,3,'2025-08-11 20:18:00'),(293,'上海','2025-08-19','05:23:00','18:35:00','00:44:00','15:59:00','残月','807',35,27,'101','多云','150','晴',135,'东南风','1-3',16,135,'东南风','1-3',3,'0.0',10,82,1005,25,2,'2025-08-11 20:18:00'),(294,'上海','2025-08-20','05:24:00','18:34:00','01:50:00','16:52:00','残月','807',35,27,'100','晴','150','晴',135,'东南风','1-3',16,135,'东南风','1-3',3,'0.3',10,72,1004,25,55,'2025-08-11 20:18:00'),(295,'上海','2025-08-21','05:24:00','18:32:00','02:58:00','17:35:00','残月','807',34,27,'100','晴','151','多云',135,'东南风','3-4',24,135,'东南风','1-3',16,'0.0',10,77,1007,25,1,'2025-08-11 20:18:00'),(296,'上海','2025-08-22','05:25:00','18:31:00','04:06:00','18:12:00','残月','807',34,28,'101','多云','151','多云',135,'东南风','3-4',24,135,'东南风','1-3',16,'0.0',10,75,1009,25,1,'2025-08-11 20:18:00'),(297,'上海','2025-08-23','05:25:00','18:30:00','05:10:00','18:44:00','新月','800',34,27,'101','多云','151','多云',135,'东南风','1-3',16,135,'东南风','1-3',16,'0.0',6,81,1011,25,25,'2025-08-11 20:18:00'),(298,'上海','2025-08-24','05:26:00','18:29:00','06:11:00','19:12:00','蛾眉月','801',34,27,'101','多云','151','多云',135,'东南风','1-3',16,135,'东南风','1-3',16,'3.2',10,83,1011,25,65,'2025-08-11 20:18:00'),(299,'上海','2025-08-25','05:27:00','18:28:00','07:08:00','19:38:00','蛾眉月','801',35,26,'100','晴','150','晴',135,'东南风','1-3',16,135,'东南风','1-3',16,'2.2',4,83,1008,25,65,'2025-08-11 20:18:00'),(300,'上海','2025-08-26','05:27:00','18:27:00','08:04:00','20:03:00','蛾眉月','801',31,25,'302','雷阵雨','350','阵雨',131,'东南风','3-4',26,132,'东南风','3-4',24,'2.9',5,81,1008,25,65,'2025-08-11 20:18:00'),(301,'广州','2025-07-28','05:56:00','19:12:00','09:00:00','21:41:00','蛾眉月','801',35,25,'315','中到大雨','315','中到大雨',0,'北风','1-3',3,0,'北风','1-3',3,'15.1',5,81,994,24,92,'2025-07-28 14:52:00'),(302,'广州','2025-07-29','05:57:00','19:11:00','09:52:00','22:10:00','蛾眉月','801',33,25,'315','中到大雨','302','雷阵雨',0,'北风','1-3',3,0,'北风','1-3',3,'5.9',4,78,994,21,78,'2025-07-28 14:52:00'),(303,'广州','2025-07-30','05:57:00','19:11:00','10:43:00','22:40:00','蛾眉月','801',33,26,'302','雷阵雨','302','雷阵雨',0,'北风','1-3',3,0,'北风','1-3',3,'12.0',3,77,994,22,88,'2025-07-28 14:52:00'),(304,'广州','2025-07-31','05:58:00','19:10:00','11:34:00','23:10:00','蛾眉月','801',34,26,'302','雷阵雨','302','雷阵雨',0,'北风','1-3',3,0,'北风','1-3',3,'8.9',12,74,996,24,76,'2025-07-28 14:52:00'),(305,'广州','2025-08-01','05:58:00','19:10:00','12:25:00','23:43:00','上弦月','802',34,26,'302','雷阵雨','302','雷阵雨',0,'北风','1-3',3,0,'北风','1-3',3,'4.2',3,77,997,19,71,'2025-07-28 14:52:00'),(306,'广州','2025-08-02','05:58:00','19:09:00','13:17:00','00:00:00','盈凸月','803',33,25,'302','雷阵雨','302','雷阵雨',0,'北风','1-3',3,0,'北风','1-3',3,'4.5',3,82,999,18,60,'2025-07-28 14:52:00'),(307,'广州','2025-08-03','05:59:00','19:09:00','14:11:00','00:19:00','盈凸月','803',30,26,'307','大雨','307','大雨',0,'北风','1-3',3,0,'北风','1-3',3,'24.1',3,83,1002,21,69,'2025-07-28 14:52:00'),(308,'广州','2025-08-04','05:59:00','19:08:00','15:05:00','01:01:00','盈凸月','803',29,25,'305','小雨','305','小雨',180,'南风','1-3',3,225,'西南风','1-3',3,'21.7',4,73,1002,24,68,'2025-07-28 14:52:00'),(309,'广州','2025-08-05','06:00:00','19:08:00','15:59:00','01:47:00','盈凸月','803',31,26,'305','小雨','305','小雨',90,'东风','1-3',3,180,'南风','1-3',3,'9.8',3,68,1001,25,64,'2025-07-28 14:52:00'),(310,'广州','2025-08-06','06:00:00','19:07:00','16:52:00','02:39:00','盈凸月','803',32,27,'305','小雨','305','小雨',135,'东南风','1-3',3,180,'南风','1-3',3,'1.6',11,70,1001,25,56,'2025-07-28 14:52:00'),(311,'广州','2025-08-07','06:01:00','19:06:00','17:42:00','03:34:00','盈凸月','803',33,27,'305','小雨','104','阴',180,'南风','1-3',3,180,'南风','1-3',3,'1.8',5,71,1002,25,57,'2025-07-28 14:52:00'),(312,'广州','2025-08-08','06:01:00','19:06:00','18:27:00','04:34:00','盈凸月','803',32,27,'104','阴','104','阴',135,'东南风','1-3',3,180,'南风','1-3',3,'2.0',6,71,1000,24,40,'2025-07-28 14:52:00'),(313,'广州','2025-08-09','06:01:00','19:05:00','19:08:00','05:34:00','满月','804',33,27,'305','小雨','305','小雨',225,'西南风','1-3',3,180,'南风','1-3',3,'0.0',5,73,998,22,25,'2025-07-28 14:52:00'),(314,'广州','2025-08-10','06:02:00','19:04:00','19:46:00','06:35:00','亏凸月','805',34,27,'305','小雨','305','小雨',270,'西风','1-3',3,180,'南风','1-3',3,'0.0',4,73,998,23,25,'2025-07-28 14:52:00'),(315,'广州','2025-08-11','06:02:00','19:04:00','20:23:00','07:34:00','亏凸月','805',35,26,'101','多云','350','阵雨',0,'北风','1-3',3,0,'北风','1-3',3,'3.7',6,71,1004,24,80,'2025-08-11 20:18:00'),(316,'广州','2025-08-12','06:03:00','19:03:00','20:58:00','08:34:00','亏凸月','805',35,26,'302','雷阵雨','350','阵雨',0,'北风','1-3',3,0,'北风','1-3',3,'8.4',6,76,1005,24,89,'2025-08-11 20:18:00'),(317,'广州','2025-08-13','06:03:00','19:02:00','21:35:00','09:34:00','亏凸月','805',35,24,'302','雷阵雨','302','雷阵雨',0,'北风','1-3',3,0,'北风','1-3',3,'2.0',12,77,1001,22,80,'2025-08-11 20:18:00'),(318,'广州','2025-08-14','06:04:00','19:02:00','22:14:00','10:37:00','亏凸月','805',29,24,'307','大雨','307','大雨',180,'南风','1-3',16,0,'北风','1-3',3,'15.1',4,89,1005,16,95,'2025-08-11 20:18:00'),(319,'广州','2025-08-15','06:04:00','19:01:00','22:57:00','11:42:00','亏凸月','805',31,24,'307','大雨','302','雷阵雨',0,'北风','1-3',3,0,'北风','1-3',3,'7.6',3,82,1007,24,75,'2025-08-11 20:18:00'),(320,'广州','2025-08-16','06:04:00','19:00:00','23:46:00','12:49:00','下弦月','806',33,26,'302','雷阵雨','302','雷阵雨',0,'北风','1-3',3,0,'北风','1-3',3,'0.7',8,68,1006,24,62,'2025-08-11 20:18:00'),(321,'广州','2025-08-17','06:05:00','18:59:00','00:00:00','13:58:00','残月','807',34,26,'302','雷阵雨','302','雷阵雨',0,'北风','1-3',3,0,'北风','1-3',3,'0.0',11,67,1006,24,25,'2025-08-11 20:18:00'),(322,'广州','2025-08-18','06:05:00','18:58:00','00:42:00','15:06:00','残月','807',34,24,'305','小雨','151','多云',0,'北风','1-3',3,45,'东北风','1-3',3,'2.9',7,66,1002,24,70,'2025-08-11 20:18:00'),(323,'广州','2025-08-19','06:05:00','18:58:00','01:43:00','16:08:00','残月','807',28,24,'305','小雨','305','小雨',90,'东风','1-3',3,90,'东风','1-3',3,'8.3',4,85,1002,10,62,'2025-08-11 20:18:00'),(324,'广州','2025-08-20','06:06:00','18:57:00','02:48:00','17:04:00','残月','807',28,24,'305','小雨','305','小雨',180,'南风','1-3',3,90,'东风','1-3',3,'2.0',6,89,1002,13,55,'2025-08-11 20:18:00'),(325,'广州','2025-08-21','06:06:00','18:56:00','03:53:00','17:52:00','残月','807',26,24,'305','小雨','305','小雨',180,'南风','1-3',3,135,'东南风','1-3',3,'0.7',11,91,1003,13,56,'2025-08-11 20:18:00'),(326,'广州','2025-08-22','06:07:00','18:55:00','04:56:00','18:33:00','残月','807',27,23,'305','小雨','305','小雨',180,'南风','1-3',3,180,'南风','1-3',3,'2.9',10,91,1004,17,75,'2025-08-11 20:18:00'),(327,'广州','2025-08-23','06:07:00','18:54:00','05:56:00','19:09:00','新月','800',23,22,'305','小雨','305','小雨',135,'东南风','1-3',3,45,'东北风','1-3',3,'1.4',3,92,1005,24,62,'2025-08-11 20:18:00'),(328,'广州','2025-08-24','06:07:00','18:53:00','06:52:00','19:41:00','蛾眉月','801',24,22,'305','小雨','305','小雨',45,'东北风','1-3',3,45,'东北风','1-3',3,'0.0',11,91,1004,24,20,'2025-08-11 20:18:00'),(329,'广州','2025-08-25','06:08:00','18:53:00','07:45:00','20:11:00','蛾眉月','801',25,22,'305','小雨','305','小雨',90,'东风','1-3',3,45,'东北风','1-3',3,'0.0',11,77,1003,24,25,'2025-08-11 20:18:00'),(330,'广州','2025-08-26','06:08:00','18:52:00','08:37:00','20:41:00','蛾眉月','801',33,25,'101','多云','153','晴间多云',52,'东北风','1-3',13,78,'东北风','1-3',6,'5.3',4,71,1003,24,58,'2025-08-11 20:18:00'),(331,'深圳','2025-07-28','05:54:00','19:08:00','08:57:00','21:37:00','蛾眉月','801',32,26,'300','阵雨','350','阵雨',0,'北风','1-3',3,0,'北风','1-3',3,'14.2',5,84,987,24,90,'2025-07-28 14:52:00'),(332,'深圳','2025-07-29','05:54:00','19:07:00','09:49:00','22:07:00','蛾眉月','801',32,26,'306','中雨','307','大雨',0,'北风','1-3',3,0,'北风','1-3',3,'10.9',3,84,987,24,94,'2025-07-28 14:52:00'),(333,'深圳','2025-07-30','05:55:00','19:07:00','10:40:00','22:37:00','蛾眉月','801',32,26,'307','大雨','350','阵雨',0,'北风','1-3',3,0,'北风','1-3',3,'22.5',3,88,988,24,97,'2025-07-28 14:52:00'),(334,'深圳','2025-07-31','05:55:00','19:06:00','11:30:00','23:08:00','蛾眉月','801',30,26,'300','阵雨','350','阵雨',0,'北风','1-3',3,0,'北风','1-3',3,'3.8',6,87,990,24,70,'2025-07-28 14:52:00'),(335,'深圳','2025-08-01','05:56:00','19:06:00','12:20:00','23:41:00','上弦月','802',32,27,'300','阵雨','151','多云',0,'北风','1-3',3,0,'北风','1-3',3,'9.7',11,87,991,21,84,'2025-07-28 14:52:00'),(336,'深圳','2025-08-02','05:56:00','19:05:00','13:12:00','00:00:00','盈凸月','803',32,27,'300','阵雨','350','阵雨',0,'北风','1-3',3,225,'西南风','1-3',16,'21.2',5,84,993,24,74,'2025-07-28 14:52:00'),(337,'深圳','2025-08-03','05:57:00','19:05:00','14:06:00','00:17:00','盈凸月','803',30,26,'104','阴','310','暴雨',0,'北风','1-3',3,0,'北风','1-3',3,'26.1',4,83,995,23,70,'2025-07-28 14:52:00'),(338,'深圳','2025-08-04','05:57:00','19:04:00','15:00:00','00:59:00','盈凸月','803',30,27,'305','小雨','305','小雨',180,'南风','1-3',3,225,'西南风','1-3',3,'21.5',2,86,996,24,72,'2025-07-28 14:52:00'),(339,'深圳','2025-08-05','05:57:00','19:03:00','15:55:00','01:45:00','盈凸月','803',30,27,'305','小雨','305','小雨',180,'南风','1-3',3,225,'西南风','1-3',3,'15.2',3,87,995,25,72,'2025-07-28 14:52:00'),(340,'深圳','2025-08-06','05:58:00','19:03:00','16:48:00','02:37:00','盈凸月','803',30,28,'305','小雨','305','小雨',180,'南风','1-3',3,180,'南风','1-3',3,'2.2',7,87,995,22,55,'2025-07-28 14:52:00'),(341,'深圳','2025-08-07','05:58:00','19:02:00','17:37:00','03:33:00','盈凸月','803',31,28,'305','小雨','305','小雨',180,'南风','1-3',16,180,'南风','1-3',3,'0.4',5,87,996,24,43,'2025-07-28 14:52:00'),(342,'深圳','2025-08-08','05:59:00','19:02:00','18:22:00','04:32:00','盈凸月','803',31,28,'305','小雨','305','小雨',180,'南风','1-3',3,225,'西南风','1-3',3,'0.3',6,87,994,24,41,'2025-07-28 14:52:00'),(343,'深圳','2025-08-09','05:59:00','19:01:00','19:03:00','05:32:00','满月','804',30,27,'305','小雨','305','小雨',225,'西南风','1-3',16,225,'西南风','1-3',3,'0.0',3,88,992,22,25,'2025-07-28 14:52:00'),(344,'深圳','2025-08-10','05:59:00','19:00:00','19:43:00','06:32:00','亏凸月','805',30,27,'305','小雨','305','小雨',225,'西南风','1-3',16,180,'南风','1-3',3,'0.0',3,83,992,18,25,'2025-07-28 14:52:00'),(345,'深圳','2025-08-11','06:00:00','19:00:00','20:19:00','07:31:00','亏凸月','805',33,27,'300','阵雨','350','阵雨',0,'北风','1-3',3,0,'北风','1-3',3,'10.1',6,86,997,23,100,'2025-08-11 20:18:00'),(346,'深圳','2025-08-12','06:00:00','18:59:00','20:55:00','08:31:00','亏凸月','805',33,27,'300','阵雨','150','晴',0,'北风','1-3',3,0,'北风','1-3',3,'7.6',5,86,999,24,75,'2025-08-11 20:18:00'),(347,'深圳','2025-08-13','06:01:00','18:58:00','21:32:00','09:31:00','亏凸月','805',33,27,'300','阵雨','350','阵雨',0,'北风','1-3',3,225,'西南风','1-3',16,'6.0',7,83,995,22,69,'2025-08-11 20:18:00'),(348,'深圳','2025-08-14','06:01:00','18:58:00','22:11:00','10:33:00','亏凸月','805',30,26,'300','阵雨','350','阵雨',225,'西南风','1-3',16,0,'北风','1-3',3,'17.3',2,83,999,24,96,'2025-08-11 20:18:00'),(349,'深圳','2025-08-15','06:01:00','18:57:00','22:55:00','11:37:00','亏凸月','805',31,26,'300','阵雨','350','阵雨',0,'北风','1-3',3,0,'北风','1-3',3,'4.8',3,81,1000,24,74,'2025-08-11 20:18:00'),(350,'深圳','2025-08-16','06:02:00','18:56:00','23:44:00','12:45:00','下弦月','806',33,27,'300','阵雨','350','阵雨',0,'北风','1-3',3,0,'北风','1-3',3,'1.5',9,80,1000,25,68,'2025-08-11 20:18:00'),(351,'深圳','2025-08-17','06:02:00','18:55:00','00:00:00','13:53:00','残月','807',32,26,'300','阵雨','350','阵雨',0,'北风','1-3',3,0,'北风','1-3',3,'2.1',12,82,999,24,61,'2025-08-11 20:18:00'),(352,'深圳','2025-08-18','06:03:00','18:55:00','00:40:00','15:01:00','残月','807',31,25,'305','小雨','305','小雨',0,'北风','1-3',3,90,'东风','1-3',3,'6.7',4,80,995,20,62,'2025-08-11 20:18:00'),(353,'深圳','2025-08-19','06:03:00','18:54:00','01:41:00','16:03:00','残月','807',29,26,'305','小雨','305','小雨',90,'东风','1-3',3,90,'东风','1-3',3,'3.1',3,93,996,7,62,'2025-08-11 20:18:00'),(354,'深圳','2025-08-20','06:03:00','18:53:00','02:46:00','16:59:00','残月','807',28,25,'305','小雨','305','小雨',90,'东风','1-3',3,90,'东风','1-3',3,'1.3',10,92,996,9,59,'2025-08-11 20:18:00'),(355,'深圳','2025-08-21','06:04:00','18:52:00','03:51:00','17:47:00','残月','807',27,25,'305','小雨','305','小雨',180,'南风','1-3',3,225,'西南风','1-3',3,'0.5',12,92,997,18,55,'2025-08-11 20:18:00'),(356,'深圳','2025-08-22','06:04:00','18:51:00','04:54:00','18:28:00','残月','807',26,24,'305','小雨','305','小雨',180,'南风','1-3',3,135,'东南风','1-3',3,'0.4',10,90,998,20,55,'2025-08-11 20:18:00'),(357,'深圳','2025-08-23','06:04:00','18:50:00','05:53:00','19:05:00','新月','800',25,23,'305','小雨','305','小雨',180,'南风','1-3',3,45,'东北风','1-3',3,'1.0',11,94,997,13,41,'2025-08-11 20:18:00'),(358,'深圳','2025-08-24','06:05:00','18:50:00','06:49:00','19:37:00','蛾眉月','801',25,23,'305','小雨','305','小雨',45,'东北风','1-3',16,90,'东风','3-4',24,'0.7',11,88,996,24,41,'2025-08-11 20:18:00'),(359,'深圳','2025-08-25','06:05:00','18:49:00','07:42:00','20:08:00','蛾眉月','801',25,23,'305','小雨','305','小雨',90,'东风','3-4',24,90,'东风','1-3',16,'1.3',11,77,995,24,61,'2025-08-11 20:18:00'),(360,'深圳','2025-08-26','06:05:00','18:48:00','08:33:00','20:38:00','蛾眉月','801',33,27,'103','晴间多云','151','多云',55,'东北风','1-3',7,98,'东风','1-3',15,'2.5',5,81,996,22,57,'2025-08-11 20:18:00'),(377,'北京','2025-08-27','05:38:00','18:56:00','09:30:00','20:38:00','蛾眉月','801',28,21,'302','雷阵雨','350','阵雨',235,'西南风','1-3',6,217,'西南风','1-3',7,'6.3',2,67,1005,25,65,'2025-08-11 20:18:00'),(378,'北京','2025-08-28','05:39:00','18:54:00','10:31:00','21:01:00','蛾眉月','801',30,21,'101','多云','151','多云',45,'东北风','1-3',7,342,'西北风','1-3',9,'0.0',3,90,1003,19,25,'2025-08-11 20:18:00'),(379,'北京','2025-08-29','05:40:00','18:53:00','11:33:00','21:26:00','蛾眉月','801',26,18,'305','小雨','305','小雨',353,'北风','1-3',15,165,'东南风','1-3',11,'10.3',2,89,1001,19,64,'2025-08-11 20:18:00'),(380,'北京','2025-08-30','05:41:00','18:51:00','12:35:00','21:58:00','蛾眉月','801',26,17,'101','多云','153','晴间多云',340,'西北风','1-3',4,276,'西风','1-3',6,'0.0',2,89,1003,18,25,'2025-08-11 20:18:00'),(381,'北京','2025-08-31','05:42:00','18:50:00','13:36:00','22:35:00','上弦月','802',25,16,'100','晴','150','晴',281,'西风','1-3',7,230,'西南风','1-3',7,'0.0',7,89,1003,20,10,'2025-08-11 20:18:00'),(382,'北京','2025-09-01','05:43:00','18:48:00','14:35:00','23:22:00','盈凸月','803',26,16,'100','晴','150','晴',323,'西北风','1-3',4,286,'西北风','1-3',6,'0.0',7,89,1004,21,10,'2025-08-11 20:18:00'),(383,'北京','2025-09-02','05:44:00','18:47:00','15:28:00','00:00:00','盈凸月','803',28,17,'100','晴','150','晴',338,'西北风','1-3',17,292,'西北风','1-3',7,'0.0',7,91,1000,20,20,'2025-08-11 20:18:00'),(384,'北京','2025-09-03','05:45:00','18:45:00','16:14:00','00:17:00','盈凸月','803',27,16,'100','晴','150','晴',27,'东北风','1-3',7,79,'东风','1-3',7,'0.0',7,89,1001,20,5,'2025-08-11 20:18:00'),(385,'北京','2025-09-04','05:46:00','18:43:00','16:53:00','01:20:00','盈凸月','803',26,17,'101','多云','151','多云',35,'东北风','1-3',7,93,'东风','1-3',7,'0.0',7,88,1003,19,25,'2025-08-11 20:18:00'),(386,'北京','2025-09-05','05:47:00','18:42:00','17:26:00','02:28:00','盈凸月','803',26,18,'300','阵雨','151','多云',100,'东风','1-3',15,117,'东南风','1-3',15,'1.1',1,88,1001,21,58,'2025-08-11 20:18:00'),(387,'北京','2025-09-06','05:48:00','18:40:00','17:55:00','03:38:00','盈凸月','803',25,18,'101','多云','350','阵雨',121,'东南风','1-3',15,159,'东南风','1-3',15,'0.0',3,91,1001,21,25,'2025-08-11 20:18:00'),(388,'北京','2025-09-07','05:48:00','18:39:00','18:21:00','04:50:00','盈凸月','803',25,17,'302','雷阵雨','350','阵雨',162,'东南风','1-3',15,95,'东风','1-3',15,'3.0',2,89,1002,19,65,'2025-08-11 20:18:00'),(389,'北京','2025-09-08','05:49:00','18:37:00','18:45:00','06:01:00','满月','804',25,17,'102','少云','150','晴',321,'西北风','1-3',4,127,'东南风','1-3',6,'0.0',6,89,1003,22,20,'2025-08-11 20:18:00'),(390,'北京','2025-09-09','05:50:00','18:35:00','19:09:00','07:12:00','亏凸月','805',25,16,'103','晴间多云','350','阵雨',43,'东北风','1-3',4,42,'东北风','1-3',4,'0.0',3,90,1001,20,25,'2025-08-11 20:18:00'),(467,'上海','2025-08-27','05:28:00','18:26:00','08:59:00','20:29:00','蛾眉月','801',31,25,'103','晴间多云','153','晴间多云',139,'东南风','3-4',26,129,'东南风','3-4',24,'1.9',10,50,1008,25,55,'2025-08-11 20:18:00'),(468,'上海','2025-08-28','05:28:00','18:24:00','09:55:00','20:57:00','蛾眉月','801',31,25,'102','少云','150','晴',136,'东南风','3-4',20,135,'东南风','3-4',20,'0.0',9,79,1009,24,25,'2025-08-11 20:18:00'),(469,'上海','2025-08-29','05:29:00','18:23:00','10:51:00','21:27:00','蛾眉月','801',31,25,'102','少云','151','多云',156,'东南风','1-3',17,153,'东南风','1-3',19,'0.0',9,79,1006,24,20,'2025-08-11 20:18:00'),(470,'上海','2025-08-30','05:30:00','18:22:00','11:48:00','22:03:00','蛾眉月','801',31,25,'302','雷阵雨','302','雷阵雨',160,'东南风','1-3',9,68,'东北风','1-3',7,'5.7',2,81,1009,24,65,'2025-08-11 20:18:00'),(471,'上海','2025-08-31','05:30:00','18:21:00','12:46:00','22:45:00','上弦月','802',30,25,'302','雷阵雨','151','多云',343,'西北风','1-3',6,348,'西北风','1-3',9,'13.4',3,78,1006,25,70,'2025-08-11 20:18:00'),(472,'上海','2025-09-01','05:31:00','18:20:00','13:42:00','23:33:00','盈凸月','803',30,25,'302','雷阵雨','302','雷阵雨',21,'东北风','1-3',13,47,'东北风','1-3',11,'1.2',3,79,1008,24,61,'2025-08-11 20:18:00'),(473,'上海','2025-09-02','05:31:00','18:18:00','14:35:00','00:00:00','盈凸月','803',29,23,'302','雷阵雨','302','雷阵雨',44,'东北风','3-4',26,41,'东北风','3-4',26,'9.0',2,80,1009,24,65,'2025-08-11 20:18:00'),(474,'上海','2025-09-03','05:32:00','18:17:00','15:24:00','00:28:00','盈凸月','803',27,23,'302','雷阵雨','151','多云',50,'东北风','1-3',19,35,'东北风','1-3',17,'13.4',2,81,1008,25,70,'2025-08-11 20:18:00'),(475,'上海','2025-09-04','05:33:00','18:16:00','16:07:00','01:27:00','盈凸月','803',27,22,'300','阵雨','150','晴',20,'东北风','4-5',32,35,'东北风','4-5',30,'1.4',2,80,1006,25,59,'2025-08-11 20:18:00'),(476,'上海','2025-09-05','05:33:00','18:15:00','16:46:00','02:31:00','盈凸月','803',27,21,'101','多云','151','多云',33,'东北风','3-4',28,12,'东北风','3-4',26,'0.0',9,80,1010,25,20,'2025-08-11 20:18:00'),(477,'上海','2025-09-06','05:34:00','18:13:00','17:20:00','03:35:00','盈凸月','803',28,21,'101','多云','153','晴间多云',17,'东北风','1-3',13,62,'东北风','1-3',13,'0.0',2,81,1009,24,25,'2025-08-11 20:18:00'),(478,'上海','2025-09-07','05:34:00','18:12:00','17:52:00','04:40:00','盈凸月','803',28,21,'103','晴间多云','151','多云',170,'南风','1-3',17,148,'东南风','1-3',19,'0.0',5,80,1010,25,25,'2025-08-11 20:18:00'),(479,'上海','2025-09-08','05:35:00','18:11:00','18:23:00','05:44:00','满月','804',29,22,'103','晴间多云','153','晴间多云',262,'西风','4-5',30,330,'西北风','4-5',30,'3.1',3,80,1007,25,56,'2025-08-11 20:18:00'),(480,'上海','2025-09-09','05:35:00','18:10:00','18:54:00','06:49:00','亏凸月','805',28,22,'100','晴','153','晴间多云',316,'西北风','1-3',19,357,'北风','1-3',17,'0.0',8,78,1009,25,20,'2025-08-11 20:18:00'),(497,'广州','2025-08-27','06:08:00','18:51:00','09:27:00','21:11:00','蛾眉月','801',33,25,'302','雷阵雨','302','雷阵雨',49,'东北风','1-3',6,95,'东风','1-3',6,'8.4',2,55,1003,25,60,'2025-08-11 20:18:00'),(498,'广州','2025-08-28','06:09:00','18:50:00','10:18:00','21:43:00','蛾眉月','801',32,25,'103','晴间多云','350','阵雨',42,'东北风','1-3',7,47,'东北风','1-3',7,'0.0',11,77,1003,19,25,'2025-08-11 20:18:00'),(499,'广州','2025-08-29','06:09:00','18:49:00','11:10:00','22:18:00','蛾眉月','801',32,25,'103','晴间多云','350','阵雨',54,'东北风','3-4',20,76,'东北风','1-3',19,'0.0',10,78,1005,22,25,'2025-08-11 20:18:00'),(500,'广州','2025-08-30','06:09:00','18:48:00','12:03:00','22:57:00','蛾眉月','801',32,25,'302','雷阵雨','350','阵雨',67,'东北风','3-4',20,84,'东风','3-4',20,'1.2',7,79,1003,20,61,'2025-08-11 20:18:00'),(501,'广州','2025-08-31','06:10:00','18:47:00','12:57:00','23:41:00','上弦月','802',32,25,'302','雷阵雨','350','阵雨',82,'东风','3-4',20,79,'东风','1-3',19,'2.5',3,79,1005,21,65,'2025-08-11 20:18:00'),(502,'广州','2025-09-01','06:10:00','18:46:00','13:52:00','00:00:00','盈凸月','803',31,26,'101','多云','302','雷阵雨',68,'东北风','1-3',15,84,'东风','1-3',11,'1.3',3,79,1005,19,41,'2025-08-11 20:18:00'),(503,'广州','2025-09-02','06:10:00','18:45:00','14:45:00','00:31:00','盈凸月','803',31,25,'103','晴间多云','151','多云',37,'东北风','1-3',6,104,'东南风','1-3',4,'2.1',11,79,1005,18,55,'2025-08-11 20:18:00'),(504,'广州','2025-09-03','06:11:00','18:44:00','15:36:00','01:25:00','盈凸月','803',32,25,'103','晴间多云','350','阵雨',30,'东北风','1-3',4,88,'东风','1-3',7,'0.6',7,78,1004,19,40,'2025-08-11 20:18:00'),(505,'广州','2025-09-04','06:11:00','18:43:00','16:22:00','02:23:00','盈凸月','803',32,24,'302','雷阵雨','302','雷阵雨',40,'东北风','1-3',7,55,'东北风','1-3',7,'1.7',4,77,1002,21,64,'2025-08-11 20:18:00'),(506,'广州','2025-09-05','06:11:00','18:42:00','17:03:00','03:22:00','盈凸月','803',32,25,'302','雷阵雨','151','多云',41,'东北风','1-3',7,90,'东风','1-3',11,'1.5',5,77,1003,20,62,'2025-08-11 20:18:00'),(507,'广州','2025-09-06','06:12:00','18:41:00','17:43:00','04:23:00','盈凸月','803',31,25,'300','阵雨','302','雷阵雨',75,'东北风','1-3',17,101,'东风','1-3',15,'0.7',7,77,1002,22,56,'2025-08-11 20:18:00'),(508,'广州','2025-09-07','06:12:00','18:40:00','18:20:00','05:22:00','盈凸月','803',31,24,'103','晴间多云','153','晴间多云',72,'东北风','1-3',7,92,'东风','1-3',7,'0.9',5,76,1005,19,58,'2025-08-11 20:18:00'),(509,'广州','2025-09-08','06:12:00','18:39:00','18:55:00','06:22:00','满月','804',32,25,'100','晴','153','晴间多云',14,'东北风','1-3',6,36,'东北风','1-3',11,'0.9',10,76,1004,19,40,'2025-08-11 20:18:00'),(510,'广州','2025-09-09','06:12:00','18:38:00','19:31:00','07:21:00','亏凸月','805',32,25,'102','少云','350','阵雨',29,'东北风','3-4',20,66,'东北风','1-3',19,'0.6',10,80,1004,22,39,'2025-08-11 20:18:00'),(527,'深圳','2025-08-27','06:06:00','18:47:00','09:23:00','21:08:00','蛾眉月','801',33,27,'302','雷阵雨','151','多云',60,'东北风','3-4',20,94,'东风','3-4',20,'2.1',4,76,996,23,64,'2025-08-11 20:18:00'),(528,'深圳','2025-08-28','06:06:00','18:46:00','10:14:00','21:40:00','蛾眉月','801',32,27,'103','晴间多云','302','雷阵雨',82,'东风','3-4',24,80,'东风','3-4',20,'2.6',11,84,997,19,58,'2025-08-11 20:18:00'),(529,'深圳','2025-08-29','06:06:00','18:45:00','11:05:00','22:15:00','蛾眉月','801',32,27,'302','雷阵雨','151','多云',79,'东风','4-5',32,86,'东风','4-5',30,'5.5',4,84,995,18,65,'2025-08-11 20:18:00'),(530,'深圳','2025-08-30','06:07:00','18:44:00','11:58:00','22:55:00','蛾眉月','801',31,26,'302','雷阵雨','302','雷阵雨',84,'东风','4-5',32,93,'东风','4-5',30,'8.2',3,86,997,18,62,'2025-08-11 20:18:00'),(531,'深圳','2025-08-31','06:07:00','18:43:00','12:53:00','23:39:00','上弦月','802',31,27,'302','雷阵雨','302','雷阵雨',102,'东南风','3-4',28,98,'东风','3-4',28,'8.2',2,85,995,21,60,'2025-08-11 20:18:00'),(532,'深圳','2025-09-01','06:07:00','18:42:00','13:47:00','00:00:00','盈凸月','803',31,27,'302','雷阵雨','302','雷阵雨',94,'东风','3-4',20,89,'东风','1-3',19,'4.9',4,86,998,21,65,'2025-08-11 20:18:00'),(533,'深圳','2025-09-02','06:07:00','18:41:00','14:41:00','00:29:00','盈凸月','803',32,27,'300','阵雨','151','多云',84,'东风','3-4',20,99,'东风','1-3',13,'7.5',11,85,997,22,58,'2025-08-11 20:18:00'),(534,'深圳','2025-09-03','06:08:00','18:41:00','15:31:00','01:23:00','盈凸月','803',32,27,'302','雷阵雨','350','阵雨',54,'东北风','1-3',7,44,'东北风','1-3',4,'1.5',4,85,995,19,63,'2025-08-11 20:18:00'),(535,'深圳','2025-09-04','06:08:00','18:40:00','16:17:00','02:21:00','盈凸月','803',32,26,'302','雷阵雨','302','雷阵雨',63,'东北风','1-3',15,70,'东北风','1-3',11,'3.1',3,86,995,19,65,'2025-08-11 20:18:00'),(536,'深圳','2025-09-05','06:08:00','18:39:00','16:59:00','03:20:00','盈凸月','803',32,26,'302','雷阵雨','302','雷阵雨',61,'东北风','3-4',20,77,'东北风','3-4',20,'2.9',4,85,997,18,65,'2025-08-11 20:18:00'),(537,'深圳','2025-09-06','06:09:00','18:38:00','17:39:00','04:20:00','盈凸月','803',31,26,'101','多云','302','雷阵雨',82,'东风','3-4',28,98,'东风','3-4',26,'1.9',3,85,994,20,41,'2025-08-11 20:18:00'),(538,'深圳','2025-09-07','06:09:00','18:37:00','18:16:00','05:19:00','盈凸月','803',31,26,'302','雷阵雨','153','晴间多云',90,'东风','3-4',22,99,'东风','3-4',20,'2.3',3,83,998,21,65,'2025-08-11 20:18:00'),(539,'深圳','2025-09-08','06:09:00','18:36:00','18:52:00','06:18:00','满月','804',32,26,'102','少云','302','雷阵雨',77,'东北风','1-3',17,72,'东北风','1-3',13,'1.4',11,86,996,21,55,'2025-08-11 20:18:00'),(540,'深圳','2025-09-09','06:09:00','18:35:00','19:28:00','07:18:00','亏凸月','805',32,27,'302','雷阵雨','302','雷阵雨',68,'东北风','3-4',24,81,'东风','3-4',22,'2.0',3,85,998,21,64,'2025-08-11 20:18:00'); + +insert into travel_rag.train_tickets(`id`,`departure_city`,`arrival_city`,`departure_time`,`arrival_time`,`train_number`,`seat_type`,`total_seats`,`remaining_seats`,`price`,`created_at`) values (1,'北京','上海','2025-08-02 20:36:00','2025-08-02 22:36:00','G703','二等座',183,183,'167.85','2025-07-27 16:04:25'),(2,'深圳','上海','2025-08-08 17:00:00','2025-08-08 23:00:00','G195','商务座',286,286,'1032.21','2025-07-27 16:04:25'),(3,'广州','上海','2025-07-28 15:45:00','2025-07-28 18:45:00','G567','一等座',106,106,'651.42','2025-07-27 16:04:25'),(4,'广州','北京','2025-08-18 23:30:00','2025-08-19 05:30:00','G854','一等座',207,207,'721.96','2025-07-27 16:04:25'),(5,'广州','深圳','2025-08-13 16:50:00','2025-08-13 22:50:00','G280','二等座',283,283,'160.49','2025-07-27 16:04:25'),(6,'北京','广州','2025-08-16 22:08:00','2025-08-17 03:08:00','G751','二等座',280,280,'217.92','2025-07-27 16:04:25'),(7,'深圳','上海','2025-08-17 13:28:00','2025-08-17 18:28:00','G400','商务座',248,248,'1060.86','2025-07-27 16:04:25'),(8,'广州','深圳','2025-08-21 21:24:00','2025-08-21 23:24:00','G561','商务座',265,265,'812.59','2025-07-27 16:04:25'),(9,'上海','广州','2025-08-04 18:22:00','2025-08-05 00:22:00','G926','二等座',242,242,'318.26','2025-07-27 16:04:25'),(10,'北京','深圳','2025-08-11 13:23:00','2025-08-11 18:23:00','G556','二等座',100,100,'331.84','2025-07-27 16:04:25'),(11,'上海','广州','2025-08-21 20:20:00','2025-08-21 22:20:00','G305','商务座',154,154,'956.04','2025-07-27 16:04:25'),(12,'广州','深圳','2025-07-27 10:06:00','2025-07-27 14:06:00','G674','商务座',165,165,'1013.28','2025-07-27 16:04:25'),(13,'广州','上海','2025-08-20 18:58:00','2025-08-20 20:58:00','G778','商务座',210,210,'952.15','2025-07-27 16:04:25'),(14,'北京','上海','2025-08-26 19:58:00','2025-08-27 00:00:00','G346','二等座',284,284,'397.55','2025-07-27 16:04:25'),(15,'上海','深圳','2025-08-15 14:25:00','2025-08-15 17:25:00','G854','二等座',115,115,'143.30','2025-07-27 16:04:25'),(16,'深圳','上海','2025-08-17 16:45:00','2025-08-17 21:45:00','G466','二等座',147,147,'314.59','2025-07-27 16:04:25'),(17,'北京','上海','2025-07-28 14:25:00','2025-07-28 19:25:00','G715','一等座',282,282,'539.17','2025-07-27 16:04:25'),(18,'北京','广州','2025-08-13 11:35:00','2025-08-13 16:35:00','G188','商务座',263,263,'1157.71','2025-07-27 16:04:25'),(19,'深圳','上海','2025-08-18 23:07:00','2025-08-19 03:07:00','G472','商务座',259,259,'815.69','2025-07-27 16:04:25'),(20,'广州','北京','2025-08-08 12:31:00','2025-08-08 14:31:00','G880','一等座',104,104,'500.71','2025-07-27 16:04:25'),(21,'北京','广州','2025-08-15 10:04:00','2025-08-15 13:04:00','G361','一等座',164,164,'646.70','2025-07-27 16:04:25'),(22,'北京','广州','2025-08-23 22:33:00','2025-08-24 01:33:00','G499','商务座',228,228,'816.56','2025-07-27 16:04:25'),(23,'广州','上海','2025-07-30 06:58:00','2025-07-30 08:58:00','G229','商务座',158,158,'984.22','2025-07-27 16:04:25'),(24,'北京','广州','2025-08-18 18:17:00','2025-08-19 00:17:00','G407','商务座',229,229,'1117.76','2025-07-27 16:04:25'),(25,'深圳','上海','2025-08-07 07:20:00','2025-08-07 11:20:00','G359','商务座',183,183,'985.25','2025-07-27 16:04:25'),(26,'广州','上海','2025-08-26 22:42:00','2025-08-27 00:00:00','G135','二等座',162,162,'435.84','2025-07-27 16:04:25'),(27,'北京','上海','2025-08-02 21:15:00','2025-08-02 23:15:00','G499','商务座',254,254,'964.94','2025-07-27 16:04:25'),(28,'上海','北京','2025-08-21 07:42:00','2025-08-21 10:42:00','G264','二等座',254,254,'409.88','2025-07-27 16:04:25'),(29,'上海','广州','2025-08-05 23:49:00','2025-08-06 02:49:00','G175','商务座',279,279,'881.48','2025-07-27 16:04:25'),(30,'北京','深圳','2025-08-10 11:49:00','2025-08-10 16:49:00','G985','商务座',107,107,'1108.01','2025-07-27 16:04:25'),(31,'上海','广州','2025-08-09 21:21:00','2025-08-10 03:21:00','G373','一等座',256,256,'532.61','2025-07-27 16:04:25'),(32,'广州','深圳','2025-07-30 13:42:00','2025-07-30 18:42:00','G536','一等座',241,241,'647.11','2025-07-27 16:04:25'),(33,'深圳','广州','2025-08-27 11:39:00','2025-08-27 00:00:00','G303','一等座',214,214,'661.10','2025-07-27 16:04:25'),(34,'北京','深圳','2025-08-27 21:46:00','2025-08-27 00:00:00','G416','商务座',181,181,'973.53','2025-07-27 16:04:25'),(35,'北京','广州','2025-08-11 18:08:00','2025-08-11 20:08:00','G529','商务座',164,164,'860.61','2025-07-27 16:04:25'),(36,'北京','深圳','2025-08-27 14:30:00','2025-08-27 00:00:00','G767','二等座',100,100,'377.62','2025-07-27 16:04:25'),(37,'上海','深圳','2025-08-16 10:18:00','2025-08-16 13:18:00','G717','二等座',300,300,'348.43','2025-07-27 16:04:25'),(38,'北京','广州','2025-08-05 08:51:00','2025-08-05 14:51:00','G295','商务座',202,202,'833.75','2025-07-27 16:04:25'),(39,'深圳','广州','2025-08-27 23:45:00','2025-08-27 00:00:00','G444','商务座',136,136,'1096.68','2025-07-27 16:04:25'),(40,'北京','深圳','2025-08-04 15:28:00','2025-08-04 21:28:00','G591','商务座',110,110,'850.18','2025-07-27 16:04:25'),(41,'上海','深圳','2025-08-11 17:24:00','2025-08-11 20:24:00','G997','一等座',199,199,'507.04','2025-07-27 16:04:25'),(42,'深圳','北京','2025-07-31 21:52:00','2025-07-31 23:52:00','G129','二等座',264,264,'334.37','2025-07-27 16:04:25'),(43,'上海','广州','2025-08-05 08:46:00','2025-08-05 14:46:00','G546','一等座',152,152,'576.66','2025-07-27 16:04:25'),(44,'上海','深圳','2025-08-03 23:12:00','2025-08-04 03:12:00','G929','一等座',213,213,'570.96','2025-07-27 16:04:25'),(45,'上海','北京','2025-08-19 13:11:00','2025-08-19 16:11:00','G942','商务座',197,197,'808.51','2025-07-27 16:04:25'),(46,'广州','北京','2025-08-06 15:32:00','2025-08-06 20:32:00','G118','商务座',288,288,'851.79','2025-07-27 16:04:25'),(47,'广州','北京','2025-08-06 18:31:00','2025-08-06 23:31:00','G423','一等座',123,123,'613.49','2025-07-27 16:04:25'),(48,'深圳','北京','2025-08-08 11:52:00','2025-08-08 13:52:00','G565','二等座',223,223,'330.15','2025-07-27 16:04:25'),(49,'上海','广州','2025-07-29 16:57:00','2025-07-29 21:57:00','G999','商务座',261,261,'976.29','2025-07-27 16:04:25'),(50,'上海','广州','2025-08-03 10:08:00','2025-08-03 12:08:00','G874','商务座',201,201,'810.12','2025-07-27 16:04:25'),(51,'上海','广州','2025-08-11 21:00:00','2025-08-12 00:00:00','G646','二等座',289,289,'353.64','2025-07-27 16:04:25'),(52,'北京','上海','2025-08-20 10:24:00','2025-08-20 16:24:00','G273','商务座',245,245,'949.04','2025-07-27 16:04:25'),(53,'深圳','广州','2025-07-31 12:07:00','2025-07-31 18:07:00','G415','一等座',140,140,'660.54','2025-07-27 16:04:25'),(54,'北京','广州','2025-08-13 19:00:00','2025-08-13 23:00:00','G684','商务座',278,278,'1010.40','2025-07-27 16:04:25'),(55,'北京','上海','2025-08-01 10:31:00','2025-08-01 13:31:00','G283','一等座',201,201,'799.32','2025-07-27 16:04:25'),(56,'北京','上海','2025-08-12 13:04:00','2025-08-12 19:04:00','G135','商务座',103,103,'986.00','2025-07-27 16:04:25'),(57,'深圳','北京','2025-08-13 08:28:00','2025-08-13 11:28:00','G111','二等座',124,124,'392.69','2025-07-27 16:04:25'),(58,'广州','深圳','2025-08-15 08:46:00','2025-08-15 10:46:00','G502','二等座',178,178,'110.15','2025-07-27 16:04:25'),(59,'广州','北京','2025-08-23 08:44:00','2025-08-23 10:44:00','G948','商务座',195,195,'1021.77','2025-07-27 16:04:25'),(60,'深圳','上海','2025-08-23 12:18:00','2025-08-23 17:18:00','G447','二等座',219,219,'331.16','2025-07-27 16:04:25'),(61,'深圳','广州','2025-07-31 17:27:00','2025-07-31 21:27:00','G303','一等座',212,212,'703.15','2025-07-27 16:04:25'),(62,'上海','广州','2025-08-15 19:57:00','2025-08-16 01:57:00','G185','二等座',237,237,'295.43','2025-07-27 16:04:25'),(63,'北京','上海','2025-08-06 13:06:00','2025-08-06 17:06:00','G795','一等座',290,290,'564.04','2025-07-27 16:04:25'),(64,'广州','上海','2025-08-14 09:49:00','2025-08-14 14:49:00','G400','商务座',267,267,'1045.80','2025-07-27 16:04:25'),(65,'北京','广州','2025-08-27 20:47:00','2025-08-27 00:00:00','G242','二等座',262,262,'209.73','2025-07-27 16:04:25'),(66,'广州','深圳','2025-08-05 15:33:00','2025-08-05 18:33:00','G804','一等座',155,155,'676.63','2025-07-27 16:04:25'),(67,'上海','广州','2025-08-27 11:10:00','2025-08-27 00:00:00','G311','一等座',248,248,'703.68','2025-07-27 16:04:25'),(68,'北京','广州','2025-08-14 18:59:00','2025-08-14 23:59:00','G389','商务座',247,247,'1164.69','2025-07-27 16:04:25'),(69,'上海','北京','2025-08-24 21:01:00','2025-08-25 00:01:00','G365','商务座',234,234,'893.20','2025-07-27 16:04:25'),(70,'北京','广州','2025-07-29 12:02:00','2025-07-29 18:02:00','G716','一等座',228,228,'791.22','2025-07-27 16:04:25'),(71,'上海','广州','2025-08-07 21:58:00','2025-08-08 00:58:00','G326','二等座',233,233,'109.16','2025-07-27 16:04:25'),(72,'深圳','广州','2025-08-19 23:28:00','2025-08-20 03:28:00','G954','商务座',175,175,'1033.73','2025-07-27 16:04:25'),(73,'广州','北京','2025-08-21 19:29:00','2025-08-22 00:29:00','G658','一等座',128,128,'686.68','2025-07-27 16:04:25'),(74,'广州','北京','2025-08-09 16:26:00','2025-08-09 22:26:00','G268','商务座',214,214,'850.37','2025-07-27 16:04:25'),(75,'广州','深圳','2025-08-25 16:28:00','2025-08-25 19:28:00','G983','二等座',163,163,'389.07','2025-07-27 16:04:25'),(76,'广州','北京','2025-07-31 17:37:00','2025-07-31 21:37:00','G798','一等座',288,288,'552.14','2025-07-27 16:04:25'),(77,'深圳','上海','2025-07-30 12:55:00','2025-07-30 18:55:00','G806','一等座',300,300,'531.94','2025-07-27 16:04:25'),(78,'深圳','广州','2025-08-05 10:25:00','2025-08-05 16:25:00','G287','商务座',107,107,'1002.25','2025-07-27 16:04:25'),(79,'北京','深圳','2025-08-20 21:55:00','2025-08-21 02:55:00','G196','商务座',242,242,'1111.37','2025-07-27 16:04:25'),(80,'深圳','广州','2025-08-04 19:04:00','2025-08-05 01:04:00','G384','商务座',177,177,'1045.08','2025-07-27 16:04:25'),(81,'上海','深圳','2025-08-14 18:57:00','2025-08-14 22:57:00','G680','二等座',240,240,'358.23','2025-07-27 16:04:25'),(82,'上海','广州','2025-07-28 20:11:00','2025-07-28 23:11:00','G813','二等座',140,140,'182.71','2025-07-27 16:04:25'),(83,'上海','广州','2025-08-23 11:37:00','2025-08-23 16:37:00','G446','商务座',152,152,'992.52','2025-07-27 16:04:25'),(84,'上海','广州','2025-07-30 21:30:00','2025-07-30 23:30:00','G251','一等座',253,253,'570.24','2025-07-27 16:04:25'),(85,'广州','深圳','2025-08-26 21:53:00','2025-08-27 00:00:00','G113','商务座',275,275,'1143.96','2025-07-27 16:04:25'),(86,'上海','广州','2025-07-27 12:12:00','2025-07-27 18:12:00','G841','一等座',284,284,'768.87','2025-07-27 16:04:25'),(87,'广州','上海','2025-08-06 08:19:00','2025-08-06 13:19:00','G970','商务座',276,276,'1055.65','2025-07-27 16:04:25'),(88,'深圳','北京','2025-08-25 10:02:00','2025-08-25 16:02:00','G611','一等座',194,194,'551.83','2025-07-27 16:04:25'),(89,'深圳','北京','2025-08-13 09:39:00','2025-08-13 13:39:00','G588','商务座',258,258,'817.85','2025-07-27 16:04:25'),(90,'上海','北京','2025-07-27 22:12:00','2025-07-28 01:12:00','G434','一等座',147,147,'741.97','2025-07-27 16:04:25'),(91,'广州','上海','2025-08-24 23:13:00','2025-08-25 04:13:00','G764','商务座',280,280,'890.17','2025-07-27 16:04:25'),(92,'上海','北京','2025-08-18 20:31:00','2025-08-18 23:31:00','G355','商务座',232,232,'960.37','2025-07-27 16:04:25'),(93,'深圳','上海','2025-08-13 17:12:00','2025-08-13 22:12:00','G104','一等座',219,219,'513.02','2025-07-27 16:04:25'),(94,'深圳','北京','2025-07-27 14:59:00','2025-07-27 16:59:00','G656','二等座',144,144,'403.38','2025-07-27 16:04:25'),(95,'上海','北京','2025-08-21 10:36:00','2025-08-21 14:36:00','G188','二等座',296,296,'187.76','2025-07-27 16:04:25'),(96,'上海','北京','2025-08-02 20:09:00','2025-08-03 01:09:00','G276','一等座',252,252,'628.64','2025-07-27 16:04:25'),(97,'北京','深圳','2025-08-16 11:04:00','2025-08-16 17:04:00','G670','一等座',182,182,'606.45','2025-07-27 16:04:25'),(98,'深圳','北京','2025-07-30 08:13:00','2025-07-30 10:13:00','G327','商务座',107,107,'1004.35','2025-07-27 16:04:25'),(99,'深圳','广州','2025-08-14 15:50:00','2025-08-14 20:50:00','G348','一等座',237,237,'611.31','2025-07-27 16:04:25'),(100,'广州','北京','2025-08-12 09:51:00','2025-08-12 13:51:00','G273','商务座',108,108,'816.47','2025-07-27 16:04:25'),(101,'广州','上海','2025-08-14 11:35:00','2025-08-14 14:35:00','G294','商务座',154,154,'1058.42','2025-07-27 16:04:25'),(102,'上海','北京','2025-08-19 16:52:00','2025-08-19 18:52:00','G604','二等座',140,140,'250.95','2025-07-27 16:04:25'),(103,'广州','北京','2025-07-30 09:44:00','2025-07-30 14:44:00','G950','商务座',162,162,'1019.56','2025-07-27 16:04:25'),(104,'北京','深圳','2025-08-15 11:42:00','2025-08-15 15:42:00','G681','一等座',123,123,'651.70','2025-07-27 16:04:25'),(105,'广州','北京','2025-08-21 19:30:00','2025-08-21 22:30:00','G487','一等座',294,294,'730.46','2025-07-27 16:04:25'),(106,'深圳','北京','2025-08-19 15:04:00','2025-08-19 20:04:00','G583','二等座',140,140,'205.26','2025-07-27 16:04:25'),(107,'上海','广州','2025-08-11 14:03:00','2025-08-11 18:03:00','G995','商务座',204,204,'964.67','2025-07-27 16:04:25'),(108,'上海','深圳','2025-08-26 22:16:00','2025-08-27 00:00:00','G725','一等座',103,103,'585.21','2025-07-27 16:04:25'),(109,'上海','北京','2025-08-08 09:57:00','2025-08-08 13:57:00','G660','商务座',149,149,'812.18','2025-07-27 16:04:25'),(110,'深圳','广州','2025-08-12 12:24:00','2025-08-12 17:24:00','G708','商务座',277,277,'1115.17','2025-07-27 16:04:25'),(111,'上海','深圳','2025-08-03 13:15:00','2025-08-03 16:15:00','G136','二等座',241,241,'196.91','2025-07-27 16:04:25'),(112,'广州','深圳','2025-08-21 07:46:00','2025-08-21 12:46:00','G482','一等座',210,210,'541.67','2025-07-27 16:04:25'),(113,'北京','深圳','2025-08-20 19:53:00','2025-08-20 21:53:00','G374','二等座',147,147,'239.14','2025-07-27 16:04:25'),(114,'上海','广州','2025-08-24 13:04:00','2025-08-24 15:04:00','G516','二等座',127,127,'404.41','2025-07-27 16:04:25'),(115,'广州','深圳','2025-08-14 20:00:00','2025-08-15 01:00:00','G509','二等座',134,134,'269.29','2025-07-27 16:04:25'),(116,'北京','深圳','2025-08-23 08:24:00','2025-08-23 13:24:00','G944','二等座',179,179,'449.69','2025-07-27 16:04:25'),(117,'广州','上海','2025-08-26 16:34:00','2025-08-26 19:34:00','G292','商务座',246,246,'943.47','2025-07-27 16:04:25'),(118,'广州','深圳','2025-08-03 10:33:00','2025-08-03 14:33:00','G244','商务座',156,156,'1042.67','2025-07-27 16:04:25'),(119,'上海','北京','2025-08-05 18:54:00','2025-08-05 23:54:00','G132','商务座',220,220,'1086.29','2025-07-27 16:04:25'),(120,'上海','广州','2025-08-03 10:25:00','2025-08-03 13:25:00','G758','一等座',191,191,'517.92','2025-07-27 16:04:25'); + +insert into travel_rag.flight_tickets(`id`,`departure_city`,`arrival_city`,`departure_time`,`arrival_time`,`flight_number`,`cabin_type`,`total_seats`,`remaining_seats`,`price`,`created_at`) values (1,'上海','北京','2025-09-21 22:00:00','2025-08-27 00:00:00','CA7151','公务舱',148,148,'1311.36','2025-07-27 16:04:21'),(2,'北京','深圳','2025-08-13 09:36:00','2025-08-13 11:36:00','CA1270','头等舱',119,119,'2290.31','2025-07-27 16:04:21'),(3,'上海','北京','2025-08-01 00:27:00','2025-08-01 05:27:00','CA6557','经济舱',134,134,'885.65','2025-07-27 16:04:21'),(4,'广州','深圳','2025-08-09 22:23:00','2025-08-10 02:23:00','CA3321','头等舱',87,87,'2736.43','2025-07-27 16:04:21'),(5,'上海','深圳','2025-08-15 09:32:00','2025-08-15 14:32:00','CA5040','头等舱',146,146,'2455.01','2025-07-27 16:04:21'),(6,'北京','上海','2025-08-22 21:20:00','2025-08-22 23:20:00','CA3624','公务舱',57,57,'1601.75','2025-07-27 16:04:21'),(7,'北京','广州','2025-08-03 17:20:00','2025-08-03 21:20:00','CA1906','公务舱',81,81,'1731.53','2025-07-27 16:04:21'),(8,'上海','北京','2025-09-10 21:46:00','2025-08-27 00:00:00','CA8096','经济舱',93,93,'680.94','2025-07-27 16:04:21'),(9,'上海','广州','2025-09-11 11:57:00','2025-08-27 00:00:00','CA6284','头等舱',149,149,'2851.80','2025-07-27 16:04:21'),(10,'上海','北京','2025-09-02 11:26:00','2025-08-27 00:00:00','CA6382','头等舱',96,96,'2835.52','2025-07-27 16:04:21'),(11,'广州','上海','2025-09-24 16:30:00','2025-08-27 00:00:00','CA6744','经济舱',105,105,'958.30','2025-07-27 16:04:21'),(12,'上海','广州','2025-08-24 22:39:00','2025-08-25 02:39:00','CA1212','公务舱',52,52,'1337.76','2025-07-27 16:04:21'),(13,'深圳','广州','2025-09-09 20:06:00','2025-08-27 00:00:00','CA5548','经济舱',125,125,'990.82','2025-07-27 16:04:21'),(14,'北京','深圳','2025-09-12 18:40:00','2025-08-27 00:00:00','CA1459','头等舱',130,130,'2410.36','2025-07-27 16:04:21'),(15,'深圳','上海','2025-09-23 18:50:00','2025-08-27 00:00:00','CA5385','经济舱',75,75,'665.93','2025-07-27 16:04:21'),(16,'深圳','广州','2025-09-16 22:14:00','2025-08-27 00:00:00','CA5159','头等舱',89,89,'2301.25','2025-07-27 16:04:21'),(17,'上海','北京','2025-08-10 13:15:00','2025-08-10 14:15:00','CA5696','经济舱',129,129,'604.37','2025-07-27 16:04:21'),(18,'上海','北京','2025-08-11 22:52:00','2025-08-12 02:52:00','CA8751','经济舱',96,96,'678.59','2025-07-27 16:04:21'),(19,'广州','上海','2025-08-02 00:11:00','2025-08-02 05:11:00','CA4339','经济舱',101,101,'631.34','2025-07-27 16:04:21'),(20,'广州','上海','2025-08-18 15:42:00','2025-08-18 16:42:00','CA3244','经济舱',114,114,'806.98','2025-07-27 16:04:21'),(21,'深圳','广州','2025-07-30 22:33:00','2025-07-30 23:33:00','CA4724','头等舱',87,87,'2996.21','2025-07-27 16:04:21'),(22,'广州','北京','2025-08-01 15:06:00','2025-08-01 16:06:00','CA4167','经济舱',51,51,'749.33','2025-07-27 16:04:21'),(23,'广州','北京','2025-09-08 14:05:00','2025-08-27 00:00:00','CA3184','头等舱',59,59,'2386.98','2025-07-27 16:04:21'),(24,'深圳','广州','2025-09-16 13:30:00','2025-08-27 00:00:00','CA2898','公务舱',69,69,'1581.42','2025-07-27 16:04:21'),(25,'上海','深圳','2025-09-24 00:38:00','2025-08-27 00:00:00','CA4504','公务舱',79,79,'1724.66','2025-07-27 16:04:21'),(26,'上海','深圳','2025-08-20 13:54:00','2025-08-20 18:54:00','CA8638','头等舱',94,94,'2472.95','2025-07-27 16:04:21'),(27,'深圳','上海','2025-08-03 19:03:00','2025-08-03 23:03:00','CA1764','头等舱',123,123,'2560.29','2025-07-27 16:04:21'),(28,'上海','深圳','2025-08-27 16:32:00','2025-08-27 00:00:00','CA7695','头等舱',135,135,'2593.06','2025-07-27 16:04:21'),(29,'上海','深圳','2025-09-11 15:54:00','2025-08-27 00:00:00','CA2637','公务舱',66,66,'1856.64','2025-07-27 16:04:21'),(30,'上海','广州','2025-09-24 08:48:00','2025-08-27 00:00:00','CA3274','经济舱',76,76,'926.89','2025-07-27 16:04:21'),(31,'广州','北京','2025-08-16 16:14:00','2025-08-16 18:14:00','CA3246','公务舱',62,62,'1438.12','2025-07-27 16:04:21'),(32,'深圳','北京','2025-08-28 12:14:00','2025-08-27 00:00:00','CA2174','经济舱',131,131,'1121.44','2025-07-27 16:04:21'),(33,'北京','上海','2025-09-01 15:32:00','2025-08-27 00:00:00','CA2714','经济舱',133,133,'629.95','2025-07-27 16:04:21'),(34,'上海','北京','2025-08-08 09:04:00','2025-08-08 12:04:00','CA1284','公务舱',82,82,'1638.03','2025-07-27 16:04:21'),(35,'北京','广州','2025-09-03 22:08:00','2025-08-27 00:00:00','CA6851','经济舱',56,56,'503.59','2025-07-27 16:04:21'),(36,'广州','北京','2025-08-03 22:30:00','2025-08-04 03:30:00','CA7417','头等舱',72,72,'2014.35','2025-07-27 16:04:21'),(37,'深圳','上海','2025-07-31 07:45:00','2025-07-31 10:45:00','CA8102','经济舱',70,70,'853.45','2025-07-27 16:04:21'),(38,'北京','上海','2025-07-30 12:46:00','2025-07-30 17:46:00','CA2104','头等舱',58,58,'2938.34','2025-07-27 16:04:21'),(39,'北京','上海','2025-08-11 09:03:00','2025-08-11 12:03:00','CA1085','经济舱',80,80,'923.65','2025-07-27 16:04:21'),(40,'深圳','北京','2025-08-28 12:31:00','2025-08-27 00:00:00','CA5786','经济舱',98,98,'1096.58','2025-07-27 16:04:21'),(41,'深圳','北京','2025-09-17 14:03:00','2025-08-27 00:00:00','CA7813','经济舱',119,119,'1146.29','2025-07-27 16:04:21'),(42,'北京','广州','2025-08-28 08:15:00','2025-08-27 00:00:00','CA3636','公务舱',58,58,'1560.16','2025-07-27 16:04:21'),(43,'广州','北京','2025-09-02 13:23:00','2025-08-27 00:00:00','CA8286','公务舱',136,136,'1599.04','2025-07-27 16:04:21'),(44,'广州','深圳','2025-09-19 07:13:00','2025-08-27 00:00:00','CA4803','头等舱',88,88,'2556.78','2025-07-27 16:04:21'),(45,'广州','上海','2025-09-06 19:26:00','2025-08-27 00:00:00','CA9428','头等舱',56,56,'2478.31','2025-07-27 16:04:21'),(46,'广州','北京','2025-09-08 15:44:00','2025-08-27 00:00:00','CA3851','公务舱',81,81,'1774.53','2025-07-27 16:04:21'),(47,'上海','广州','2025-08-12 14:02:00','2025-08-12 16:02:00','CA2493','头等舱',150,150,'2898.23','2025-07-27 16:04:21'),(48,'深圳','上海','2025-09-07 00:34:00','2025-08-27 00:00:00','CA6405','经济舱',95,95,'555.32','2025-07-27 16:04:21'),(49,'广州','北京','2025-09-12 20:15:00','2025-08-27 00:00:00','CA5318','公务舱',62,62,'1991.59','2025-07-27 16:04:21'),(50,'北京','深圳','2025-09-01 21:13:00','2025-08-27 00:00:00','CA8925','公务舱',110,110,'1633.21','2025-07-27 16:04:21'),(51,'上海','广州','2025-09-18 18:35:00','2025-08-27 00:00:00','CA7931','公务舱',123,123,'1304.42','2025-07-27 16:04:21'),(52,'广州','深圳','2025-09-07 07:02:00','2025-08-27 00:00:00','CA8830','经济舱',71,71,'695.24','2025-07-27 16:04:21'),(53,'深圳','北京','2025-09-14 00:28:00','2025-08-27 00:00:00','CA3742','经济舱',57,57,'532.13','2025-07-27 16:04:21'),(54,'广州','上海','2025-09-04 08:51:00','2025-08-27 00:00:00','CA3248','经济舱',85,85,'885.20','2025-07-27 16:04:21'),(55,'北京','深圳','2025-08-13 16:39:00','2025-08-13 17:39:00','CA4473','经济舱',91,91,'506.43','2025-07-27 16:04:21'),(56,'北京','广州','2025-09-16 13:44:00','2025-08-27 00:00:00','CA1201','头等舱',100,100,'2139.98','2025-07-27 16:04:21'),(57,'广州','上海','2025-09-08 16:57:00','2025-08-27 00:00:00','CA7206','经济舱',95,95,'784.11','2025-07-27 16:04:21'),(58,'广州','深圳','2025-08-31 13:14:00','2025-08-27 00:00:00','CA7429','经济舱',54,54,'954.49','2025-07-27 16:04:21'),(59,'上海','深圳','2025-08-10 13:44:00','2025-08-10 14:44:00','CA4709','经济舱',125,125,'594.29','2025-07-27 16:04:21'),(60,'深圳','上海','2025-08-03 08:05:00','2025-08-03 12:05:00','CA4574','头等舱',117,117,'2614.51','2025-07-27 16:04:21'),(61,'深圳','广州','2025-09-14 20:57:00','2025-08-27 00:00:00','CA7019','公务舱',111,111,'1524.63','2025-07-27 16:04:21'),(62,'深圳','广州','2025-09-15 12:41:00','2025-08-27 00:00:00','CA7257','头等舱',101,101,'2210.88','2025-07-27 16:04:21'),(63,'深圳','广州','2025-07-27 16:52:00','2025-07-27 18:52:00','CA8321','公务舱',137,137,'1615.02','2025-07-27 16:04:21'),(64,'北京','上海','2025-08-23 09:59:00','2025-08-23 10:59:00','CA4293','公务舱',98,98,'1878.45','2025-07-27 16:04:21'),(65,'广州','深圳','2025-08-23 10:06:00','2025-08-23 14:06:00','CA8471','头等舱',52,52,'2157.26','2025-07-27 16:04:21'),(66,'广州','北京','2025-08-04 17:13:00','2025-08-04 18:13:00','CA2987','公务舱',75,75,'1770.52','2025-07-27 16:04:21'),(67,'广州','上海','2025-09-24 00:36:00','2025-08-27 00:00:00','CA7851','头等舱',58,58,'2015.88','2025-07-27 16:04:21'),(68,'上海','北京','2025-09-11 19:49:00','2025-08-27 00:00:00','CA7328','头等舱',67,67,'2530.49','2025-07-27 16:04:21'),(69,'北京','广州','2025-08-16 11:41:00','2025-08-16 16:41:00','CA5645','公务舱',108,108,'1840.09','2025-07-27 16:04:21'),(70,'广州','深圳','2025-09-02 19:16:00','2025-08-27 00:00:00','CA4124','头等舱',106,106,'2423.91','2025-07-27 16:04:21'),(71,'广州','深圳','2025-08-26 20:11:00','2025-08-26 22:11:00','CA2124','公务舱',58,58,'1873.24','2025-07-27 16:04:21'),(72,'深圳','北京','2025-08-16 18:06:00','2025-08-16 19:06:00','CA1397','经济舱',109,109,'1058.82','2025-07-27 16:04:21'),(73,'广州','深圳','2025-09-14 23:44:00','2025-08-27 00:00:00','CA8512','头等舱',91,91,'2556.04','2025-07-27 16:04:21'),(74,'深圳','上海','2025-08-27 13:13:00','2025-08-27 00:00:00','CA8073','经济舱',50,50,'612.09','2025-07-27 16:04:21'),(75,'上海','广州','2025-08-29 12:38:00','2025-08-27 00:00:00','CA4782','公务舱',118,118,'1524.59','2025-07-27 16:04:21'),(76,'广州','北京','2025-09-22 12:09:00','2025-08-27 00:00:00','CA7280','经济舱',125,125,'1167.26','2025-07-27 16:04:21'),(77,'深圳','上海','2025-09-22 21:36:00','2025-08-27 00:00:00','CA2829','经济舱',95,95,'518.21','2025-07-27 16:04:21'),(78,'北京','上海','2025-09-05 00:54:00','2025-08-27 00:00:00','CA6247','头等舱',67,67,'2339.68','2025-07-27 16:04:21'),(79,'广州','上海','2025-08-19 15:56:00','2025-08-19 20:56:00','CA4457','头等舱',142,142,'2796.88','2025-07-27 16:04:21'),(80,'北京','上海','2025-08-06 06:57:00','2025-08-06 11:57:00','CA3933','公务舱',104,104,'1499.78','2025-07-27 16:04:21'),(81,'北京','广州','2025-07-31 19:51:00','2025-07-31 20:51:00','CA5990','经济舱',121,121,'711.14','2025-07-27 16:04:21'),(82,'上海','广州','2025-09-01 22:37:00','2025-08-27 00:00:00','CA1435','头等舱',103,103,'2397.56','2025-07-27 16:04:21'),(83,'广州','深圳','2025-08-10 20:34:00','2025-08-10 21:34:00','CA8408','头等舱',104,104,'2512.60','2025-07-27 16:04:21'),(84,'广州','北京','2025-07-30 21:02:00','2025-07-30 22:02:00','CA9211','经济舱',97,97,'1092.13','2025-07-27 16:04:21'),(85,'广州','深圳','2025-09-25 00:52:00','2025-08-27 00:00:00','CA3700','经济舱',102,102,'902.71','2025-07-27 16:04:21'),(86,'广州','上海','2025-07-31 19:46:00','2025-08-01 00:46:00','CA6241','头等舱',109,109,'2894.67','2025-07-27 16:04:21'),(87,'上海','北京','2025-09-14 23:22:00','2025-08-27 00:00:00','CA3245','公务舱',123,123,'1301.33','2025-07-27 16:04:21'),(88,'北京','上海','2025-08-31 21:02:00','2025-08-27 00:00:00','CA9695','头等舱',55,55,'2463.32','2025-07-27 16:04:21'),(89,'广州','深圳','2025-09-25 14:14:00','2025-08-27 00:00:00','CA7785','公务舱',62,62,'1754.83','2025-07-27 16:04:21'),(90,'上海','广州','2025-09-03 19:39:00','2025-08-27 00:00:00','CA6577','头等舱',95,95,'2543.82','2025-07-27 16:04:21'),(91,'北京','广州','2025-08-13 00:04:00','2025-08-13 03:04:00','CA7722','头等舱',137,137,'2344.17','2025-07-27 16:04:21'),(92,'上海','北京','2025-07-28 15:26:00','2025-07-28 18:26:00','CA4722','经济舱',106,106,'878.85','2025-07-27 16:04:21'),(93,'北京','上海','2025-09-17 23:50:00','2025-08-27 00:00:00','CA3197','公务舱',100,100,'1240.91','2025-07-27 16:04:21'),(94,'北京','广州','2025-08-23 18:41:00','2025-08-23 21:41:00','CA4501','经济舱',66,66,'884.40','2025-07-27 16:04:21'),(95,'广州','北京','2025-09-03 12:28:00','2025-08-27 00:00:00','CA5092','头等舱',102,102,'2610.10','2025-07-27 16:04:21'),(96,'深圳','北京','2025-08-19 13:20:00','2025-08-19 16:20:00','CA2989','经济舱',70,70,'829.00','2025-07-27 16:04:21'),(97,'上海','北京','2025-09-18 19:27:00','2025-08-27 00:00:00','CA7162','公务舱',145,145,'1928.03','2025-07-27 16:04:21'),(98,'上海','广州','2025-08-02 23:55:00','2025-08-03 02:55:00','CA2917','经济舱',82,82,'584.62','2025-07-27 16:04:21'),(99,'上海','广州','2025-08-11 15:41:00','2025-08-11 16:41:00','CA7090','经济舱',58,58,'890.63','2025-07-27 16:04:21'),(100,'广州','深圳','2025-08-16 17:37:00','2025-08-16 20:37:00','CA9163','头等舱',50,50,'2405.28','2025-07-27 16:04:21'),(101,'上海','深圳','2025-09-15 14:31:00','2025-08-27 00:00:00','CA7520','经济舱',92,92,'1045.44','2025-07-27 16:04:21'),(102,'上海','北京','2025-09-19 13:51:00','2025-08-27 00:00:00','CA2409','公务舱',88,88,'1442.46','2025-07-27 16:04:21'),(103,'深圳','上海','2025-08-28 11:05:00','2025-08-27 00:00:00','CA5510','头等舱',66,66,'2969.17','2025-07-27 16:04:21'),(104,'深圳','上海','2025-08-02 08:25:00','2025-08-02 11:25:00','CA2274','经济舱',84,84,'546.04','2025-07-27 16:04:21'),(105,'深圳','广州','2025-09-07 19:03:00','2025-08-27 00:00:00','CA5416','经济舱',145,145,'1041.12','2025-07-27 16:04:21'),(106,'广州','上海','2025-08-08 17:17:00','2025-08-08 22:17:00','CA9553','经济舱',108,108,'1172.30','2025-07-27 16:04:21'),(107,'上海','广州','2025-08-07 23:13:00','2025-08-08 00:13:00','CA8253','公务舱',97,97,'1295.42','2025-07-27 16:04:21'),(108,'深圳','上海','2025-09-22 22:33:00','2025-08-27 00:00:00','CA6255','头等舱',94,94,'2729.88','2025-07-27 16:04:21'),(109,'北京','深圳','2025-09-22 00:05:00','2025-08-27 00:00:00','CA7690','头等舱',102,102,'2278.72','2025-07-27 16:04:21'),(110,'北京','广州','2025-08-11 21:01:00','2025-08-12 02:01:00','CA3625','头等舱',61,61,'2150.65','2025-07-27 16:04:21'),(111,'北京','深圳','2025-09-20 10:03:00','2025-08-27 00:00:00','CA5282','经济舱',99,99,'893.35','2025-07-27 16:04:21'),(112,'北京','广州','2025-08-25 10:54:00','2025-08-25 15:54:00','CA5992','公务舱',62,62,'1479.05','2025-07-27 16:04:21'),(113,'广州','北京','2025-08-10 16:02:00','2025-08-10 18:02:00','CA3044','公务舱',73,73,'1573.03','2025-07-27 16:04:21'),(114,'北京','上海','2025-09-09 00:46:00','2025-08-27 00:00:00','CA5397','公务舱',137,137,'1722.66','2025-07-27 16:04:21'),(115,'深圳','广州','2025-09-11 22:03:00','2025-08-27 00:00:00','CA9216','头等舱',91,91,'2712.58','2025-07-27 16:04:21'),(116,'广州','北京','2025-09-04 10:57:00','2025-08-27 00:00:00','CA3316','头等舱',122,122,'2651.39','2025-07-27 16:04:21'),(117,'上海','广州','2025-09-04 15:42:00','2025-08-27 00:00:00','CA1997','公务舱',105,105,'1729.53','2025-07-27 16:04:21'),(118,'广州','北京','2025-08-02 11:53:00','2025-08-02 12:53:00','CA6923','头等舱',127,127,'2537.66','2025-07-27 16:04:21'),(119,'北京','上海','2025-09-19 23:26:00','2025-08-27 00:00:00','CA7566','经济舱',99,99,'1066.76','2025-07-27 16:04:21'),(120,'上海','深圳','2025-08-21 22:29:00','2025-08-22 01:29:00','CA4422','头等舱',118,118,'2441.84','2025-07-27 16:04:21'); + +insert into travel_rag.concert_tickets(`id`,`artist`,`city`,`venue`,`start_time`,`end_time`,`ticket_type`,`total_seats`,`remaining_seats`,`price`,`created_at`) values (1,'刀郎','上海','上海体育馆','2025-08-26 22:00:00','2025-08-27 00:00:00','内场',403,403,'880.00','2025-07-27 16:05:50'),(2,'张学友','广州','广州体育馆','2025-08-26 22:00:00','2025-08-27 00:00:00','看台',431,431,'180.00','2025-07-27 16:05:50'),(3,'周杰伦','上海','上海体育馆','2025-08-26 22:00:00','2025-08-27 00:00:00','看台',418,418,'50.00','2025-07-27 16:05:50'),(4,'五月天','上海','上海体育馆','2025-08-03 20:11:00','2025-08-04 00:11:00','VIP',428,428,'1280.00','2025-07-27 16:05:50'),(5,'刀郎','深圳','深圳体育馆','2025-08-26 22:00:00','2025-08-27 00:00:00','VIP',282,282,'1080.00','2025-07-27 16:05:50'),(7,'五月天','北京','北京体育馆','2025-08-26 22:00:00','2025-08-27 00:00:00','看台',380,380,'480.00','2025-07-27 16:05:50'),(11,'张学友','广州','广州体育馆','2025-08-26 22:00:00','2025-08-27 00:00:00','内场',305,305,'680.00','2025-07-27 16:05:50'),(12,'张学友','上海','上海体育馆','2025-08-02 20:55:00','2025-08-02 23:55:00','VIP',454,454,'1080.00','2025-07-27 16:05:50'),(13,'周杰伦','北京','北京体育馆','2025-08-15 20:27:00','2025-08-15 22:27:00','VIP',332,332,'1080.00','2025-07-27 16:05:50'),(16,'五月天','上海','上海体育馆','2025-08-26 22:00:00','2025-08-27 00:00:00','内场',365,365,'680.00','2025-07-27 16:05:50'),(17,'张学友','广州','广州体育馆','2025-08-26 22:00:00','2025-08-27 00:00:00','VIP',201,201,'1080.00','2025-07-27 16:05:50'),(18,'刀郎','广州','广州体育馆','2025-08-26 22:00:00','2025-08-27 00:00:00','看台',388,388,'280.00','2025-07-27 16:05:50'),(22,'周杰伦','广州','广州体育馆','2025-08-26 22:00:00','2025-08-27 00:00:00','VIP',257,257,'1280.00','2025-07-27 16:05:50'),(23,'刀郎','深圳','深圳体育馆','2025-08-17 20:58:00','2025-08-18 00:58:00','看台',216,216,'280.00','2025-07-27 16:05:50'),(25,'周杰伦','广州','广州体育馆','2025-08-19 21:51:00','2025-08-20 01:51:00','VIP',426,426,'1080.00','2025-07-27 16:05:50'),(27,'刀郎','广州','广州体育馆','2025-07-29 20:07:00','2025-07-29 23:07:00','看台',295,295,'280.00','2025-07-27 16:05:50'),(34,'五月天','上海','上海体育馆','2025-08-26 22:00:00','2025-08-27 00:00:00','VIP',302,302,'1080.00','2025-07-27 16:05:50'),(35,'五月天','深圳','深圳体育馆','2025-08-03 21:45:00','2025-08-03 23:45:00','内场',420,420,'880.00','2025-07-27 16:05:50'),(43,'周杰伦','广州','广州体育馆','2025-08-26 22:00:00','2025-08-27 00:00:00','内场',360,360,'680.00','2025-07-27 16:05:50'),(44,'周杰伦','广州','广州体育馆','2025-08-02 20:41:00','2025-08-02 23:41:00','内场',399,399,'880.00','2025-07-27 16:05:50'),(46,'刀郎','深圳','深圳体育馆','2025-08-24 21:07:00','2025-08-25 01:07:00','内场',378,378,'880.00','2025-07-27 16:05:50'),(50,'五月天','北京','北京体育馆','2025-08-21 19:07:00','2025-08-21 21:07:00','内场',275,275,'880.00','2025-07-27 16:05:50'),(52,'五月天','北京','北京体育馆','2025-08-16 21:32:00','2025-08-17 00:32:00','内场',352,352,'680.00','2025-07-27 16:05:50'),(57,'五月天','广州','广州体育馆','2025-08-19 20:28:00','2025-08-20 00:28:00','内场',409,409,'880.00','2025-07-27 16:05:50'),(59,'周杰伦','深圳','深圳体育馆','2025-08-01 19:35:00','2025-08-01 21:35:00','内场',411,411,'880.00','2025-07-27 16:05:50'),(61,'刀郎','上海','上海体育馆','2025-08-25 19:37:00','2025-08-25 21:37:00','VIP',304,304,'1280.00','2025-07-27 16:05:50'),(63,'五月天','广州','广州体育馆','2025-08-06 20:54:00','2025-08-06 22:54:00','VIP',413,413,'1280.00','2025-07-27 16:05:50'),(67,'五月天','上海','上海体育馆','2025-08-16 20:08:00','2025-08-17 00:08:00','看台',382,382,'180.00','2025-07-27 16:05:50'),(69,'周杰伦','广州','广州体育馆','2025-08-15 21:36:00','2025-08-15 23:36:00','看台',449,449,'50.00','2025-07-27 16:05:50'),(70,'五月天','广州','广州体育馆','2025-08-19 21:50:00','2025-08-20 01:50:00','VIP',287,287,'1080.00','2025-07-27 16:05:50'),(71,'刀郎','深圳','深圳体育馆','2025-08-09 20:17:00','2025-08-09 22:17:00','看台',441,441,'180.00','2025-07-27 16:05:50'),(73,'周杰伦','北京','北京体育馆','2025-08-17 21:13:00','2025-08-18 00:13:00','看台',335,335,'180.00','2025-07-27 16:05:50'),(77,'张学友','北京','北京体育馆','2025-08-05 20:11:00','2025-08-05 23:11:00','VIP',251,251,'1280.00','2025-07-27 16:05:50'),(78,'刀郎','深圳','深圳体育馆','2025-08-01 21:04:00','2025-08-02 01:04:00','看台',232,232,'280.00','2025-07-27 16:05:50'),(79,'五月天','广州','广州体育馆','2025-08-04 20:35:00','2025-08-05 00:35:00','内场',253,253,'880.00','2025-07-27 16:05:50'),(80,'刀郎','上海','上海体育馆','2025-08-06 20:32:00','2025-08-07 00:32:00','VIP',489,489,'1280.00','2025-07-27 16:05:50'),(83,'张学友','上海','上海体育馆','2025-08-26 21:02:00','2025-08-27 00:00:00','内场',284,284,'880.00','2025-07-27 16:05:50'),(85,'周杰伦','深圳','深圳体育馆','2025-08-16 20:54:00','2025-08-17 00:54:00','看台',262,262,'50.00','2025-07-27 16:05:50'),(86,'周杰伦','北京','北京体育馆','2025-08-13 20:17:00','2025-08-13 22:17:00','看台',428,428,'180.00','2025-07-27 16:05:50'),(88,'五月天','广州','广州体育馆','2025-07-30 19:30:00','2025-07-30 23:30:00','看台',325,325,'480.00','2025-07-27 16:05:50'),(90,'刀郎','北京','北京体育馆','2025-08-23 20:04:00','2025-08-24 00:04:00','看台',222,222,'180.00','2025-07-27 16:05:50'),(91,'周杰伦','上海','上海体育馆','2025-08-01 21:59:00','2025-08-01 23:59:00','内场',300,300,'680.00','2025-07-27 16:05:50'),(98,'刀郎','深圳','深圳体育馆','2025-08-01 20:43:00','2025-08-02 00:43:00','看台',242,242,'50.00','2025-07-27 16:05:50'),(99,'张学友','广州','广州体育馆','2025-08-08 21:32:00','2025-08-09 01:32:00','内场',387,387,'680.00','2025-07-27 16:05:50'),(101,'五月天','上海','上海体育馆','2025-08-17 20:06:00','2025-08-18 00:06:00','VIP',445,445,'1080.00','2025-07-27 16:05:50'),(104,'张学友','广州','广州体育馆','2025-08-08 19:17:00','2025-08-08 23:17:00','VIP',459,459,'1080.00','2025-07-27 16:05:50'),(108,'周杰伦','北京','北京体育馆','2025-08-19 21:39:00','2025-08-20 01:39:00','VIP',272,272,'1080.00','2025-07-27 16:05:50'),(110,'周杰伦','深圳','深圳体育馆','2025-08-13 21:44:00','2025-08-14 00:44:00','VIP',351,351,'1080.00','2025-07-27 16:05:50'),(113,'周杰伦','深圳','深圳体育馆','2025-08-10 20:16:00','2025-08-10 23:16:00','VIP',369,369,'1280.00','2025-07-27 16:05:50'),(114,'周杰伦','北京','北京体育馆','2025-08-15 20:57:00','2025-08-15 23:57:00','看台',212,212,'480.00','2025-07-27 16:05:50'),(115,'张学友','北京','北京体育馆','2025-07-28 19:37:00','2025-07-28 21:37:00','VIP',222,222,'1280.00','2025-07-27 16:05:50'),(116,'张学友','北京','北京体育馆','2025-08-09 19:27:00','2025-08-09 23:27:00','内场',469,469,'680.00','2025-07-27 16:05:50'),(119,'张学友','北京','北京体育馆','2025-08-16 19:13:00','2025-08-16 22:13:00','内场',360,360,'680.00','2025-07-27 16:05:50'),(122,'周杰伦','深圳','深圳体育馆','2025-08-21 19:20:00','2025-08-21 21:20:00','内场',380,380,'680.00','2025-07-27 16:05:50'),(125,'刀郎','北京','北京体育馆','2025-08-11 20:33:00','2025-08-12 00:33:00','看台',490,490,'280.00','2025-07-27 16:05:50'),(130,'张学友','广州','广州体育馆','2025-07-29 20:30:00','2025-07-30 00:30:00','VIP',219,219,'1280.00','2025-07-27 16:05:50'),(131,'刀郎','上海','上海体育馆','2025-08-14 21:46:00','2025-08-14 23:46:00','VIP',475,475,'1080.00','2025-07-27 16:05:50'),(136,'周杰伦','广州','广州体育馆','2025-08-14 20:27:00','2025-08-14 22:27:00','看台',307,307,'50.00','2025-07-27 16:05:50'),(137,'刀郎','上海','上海体育馆','2025-08-03 21:28:00','2025-08-04 00:28:00','看台',294,294,'480.00','2025-07-27 16:05:50'),(139,'周杰伦','深圳','深圳体育馆','2025-08-08 19:08:00','2025-08-08 21:08:00','VIP',495,495,'1280.00','2025-07-27 16:05:50'),(141,'周杰伦','广州','广州体育馆','2025-08-03 21:38:00','2025-08-03 23:38:00','内场',210,210,'680.00','2025-07-27 16:05:50'),(144,'五月天','北京','北京体育馆','2025-08-14 22:01:00','2025-08-15 02:01:00','VIP',472,472,'1280.00','2025-07-27 16:05:50'),(149,'张学友','北京','北京体育馆','2025-07-29 22:00:00','2025-07-30 01:00:00','看台',461,461,'180.00','2025-07-27 16:05:50'),(152,'刀郎','北京','北京体育馆','2025-08-04 21:02:00','2025-08-05 00:02:00','VIP',467,467,'1280.00','2025-07-27 16:05:50'),(153,'周杰伦','深圳','深圳体育馆','2025-08-15 20:04:00','2025-08-15 22:04:00','VIP',292,292,'1280.00','2025-07-27 16:05:50'),(161,'周杰伦','北京','北京体育馆','2025-08-04 21:18:00','2025-08-04 23:18:00','看台',338,338,'280.00','2025-07-27 16:05:50'),(162,'五月天','广州','广州体育馆','2025-08-25 19:44:00','2025-08-25 21:44:00','内场',326,326,'680.00','2025-07-27 16:05:50'),(163,'张学友','上海','上海体育馆','2025-08-07 21:21:00','2025-08-08 00:21:00','VIP',400,400,'1080.00','2025-07-27 16:05:50'),(165,'张学友','深圳','深圳体育馆','2025-08-11 20:03:00','2025-08-11 22:03:00','看台',421,421,'480.00','2025-07-27 16:05:50'),(168,'周杰伦','深圳','深圳体育馆','2025-08-20 20:08:00','2025-08-20 23:08:00','VIP',236,236,'1280.00','2025-07-27 16:05:50'),(172,'刀郎','广州','广州体育馆','2025-08-06 19:09:00','2025-08-06 22:09:00','VIP',462,462,'1080.00','2025-07-27 16:05:50'),(174,'刀郎','深圳','深圳体育馆','2025-08-25 20:34:00','2025-08-25 22:34:00','看台',326,326,'180.00','2025-07-27 16:05:50'),(175,'刀郎','深圳','深圳体育馆','2025-08-26 21:35:00','2025-08-27 00:00:00','VIP',428,428,'1280.00','2025-07-27 16:05:50'),(177,'五月天','上海','上海体育馆','2025-07-29 20:39:00','2025-07-30 00:39:00','内场',232,232,'680.00','2025-07-27 16:05:50'),(179,'周杰伦','深圳','深圳体育馆','2025-08-02 20:45:00','2025-08-03 00:45:00','VIP',489,489,'1280.00','2025-07-27 16:05:50'),(180,'周杰伦','深圳','深圳体育馆','2025-07-28 19:29:00','2025-07-28 23:29:00','内场',287,287,'880.00','2025-07-27 16:05:50'),(183,'周杰伦','上海','上海体育馆','2025-08-22 20:01:00','2025-08-23 00:01:00','看台',463,463,'280.00','2025-07-27 16:05:50'),(190,'周杰伦','北京','北京体育馆','2025-08-01 21:52:00','2025-08-01 23:52:00','内场',231,231,'880.00','2025-07-27 16:05:50'),(191,'五月天','广州','广州体育馆','2025-08-05 20:13:00','2025-08-06 00:13:00','看台',352,352,'50.00','2025-07-27 16:05:50'),(199,'张学友','北京','北京体育馆','2025-08-14 20:47:00','2025-08-14 23:47:00','内场',338,338,'880.00','2025-07-27 16:05:50'),(201,'周杰伦','上海','上海体育馆','2025-08-17 19:21:00','2025-08-17 23:21:00','看台',310,310,'480.00','2025-07-27 16:05:50'),(205,'刀郎','北京','北京体育馆','2025-08-24 21:41:00','2025-08-25 00:41:00','看台',311,311,'180.00','2025-07-27 16:05:50'),(209,'张学友','广州','广州体育馆','2025-08-07 19:48:00','2025-08-07 23:48:00','看台',246,246,'180.00','2025-07-27 16:05:50'),(211,'张学友','深圳','深圳体育馆','2025-08-03 20:15:00','2025-08-03 22:15:00','看台',202,202,'280.00','2025-07-27 16:05:50'),(212,'刀郎','深圳','深圳体育馆','2025-08-25 21:53:00','2025-08-25 23:53:00','内场',300,300,'680.00','2025-07-27 16:05:50'),(215,'刀郎','北京','北京体育馆','2025-08-14 20:17:00','2025-08-14 22:17:00','看台',223,223,'180.00','2025-07-27 16:05:50'),(216,'周杰伦','深圳','深圳体育馆','2025-08-17 20:59:00','2025-08-17 22:59:00','看台',381,381,'280.00','2025-07-27 16:05:50'),(217,'周杰伦','广州','广州体育馆','2025-08-02 20:26:00','2025-08-03 00:26:00','内场',403,403,'680.00','2025-07-27 16:05:50'),(218,'刀郎','深圳','深圳体育馆','2025-07-31 19:06:00','2025-07-31 21:06:00','VIP',319,319,'1280.00','2025-07-27 16:05:50'),(221,'刀郎','广州','广州体育馆','2025-08-07 20:45:00','2025-08-07 22:45:00','VIP',465,465,'1080.00','2025-07-27 16:05:50'),(222,'五月天','深圳','深圳体育馆','2025-08-13 19:14:00','2025-08-13 22:14:00','VIP',479,479,'1280.00','2025-07-27 16:05:50'),(223,'五月天','北京','北京体育馆','2025-08-16 20:37:00','2025-08-16 23:37:00','VIP',494,494,'1080.00','2025-07-27 16:05:50'),(227,'刀郎','广州','广州体育馆','2025-07-27 21:04:00','2025-07-27 23:04:00','看台',296,296,'280.00','2025-07-27 16:05:50'),(228,'五月天','深圳','深圳体育馆','2025-08-15 20:09:00','2025-08-15 22:09:00','看台',233,233,'280.00','2025-07-27 16:05:50'),(229,'刀郎','广州','广州体育馆','2025-07-28 21:03:00','2025-07-29 00:03:00','看台',438,438,'480.00','2025-07-27 16:05:50'),(231,'五月天','北京','北京体育馆','2025-08-24 20:05:00','2025-08-25 00:05:00','看台',385,385,'50.00','2025-07-27 16:05:50'),(237,'五月天','上海','上海体育馆','2025-08-15 20:45:00','2025-08-15 23:45:00','看台',240,240,'480.00','2025-07-27 16:05:50'),(241,'刀郎','上海','上海体育馆','2025-07-31 19:54:00','2025-07-31 21:54:00','VIP',332,332,'1080.00','2025-07-27 16:05:50'),(244,'张学友','上海','上海体育馆','2025-07-31 21:52:00','2025-08-01 00:52:00','VIP',228,228,'1080.00','2025-07-27 16:05:50'),(252,'五月天','深圳','深圳体育馆','2025-08-25 21:54:00','2025-08-26 01:54:00','内场',257,257,'880.00','2025-07-27 16:05:50'),(258,'周杰伦','上海','上海体育馆','2025-08-22 19:04:00','2025-08-22 22:04:00','VIP',294,294,'1280.00','2025-07-27 16:05:50'),(259,'张学友','上海','上海体育馆','2025-08-05 21:32:00','2025-08-05 23:32:00','内场',430,430,'680.00','2025-07-27 16:05:50'),(262,'张学友','深圳','深圳体育馆','2025-08-04 21:26:00','2025-08-05 00:26:00','VIP',318,318,'1280.00','2025-07-27 16:05:50'),(266,'五月天','北京','北京体育馆','2025-08-17 21:34:00','2025-08-18 00:34:00','看台',216,216,'180.00','2025-07-27 16:05:50'),(268,'刀郎','北京','北京体育馆','2025-08-15 19:49:00','2025-08-15 21:49:00','内场',264,264,'880.00','2025-07-27 16:05:50'),(271,'刀郎','广州','广州体育馆','2025-08-17 21:02:00','2025-08-17 23:02:00','VIP',473,473,'1280.00','2025-07-27 16:05:50'),(272,'张学友','北京','北京体育馆','2025-08-04 21:37:00','2025-08-05 01:37:00','内场',272,272,'680.00','2025-07-27 16:05:50'),(276,'周杰伦','北京','北京体育馆','2025-08-17 21:22:00','2025-08-18 01:22:00','VIP',219,219,'1080.00','2025-07-27 16:05:50'),(279,'张学友','上海','上海体育馆','2025-07-29 19:14:00','2025-07-29 23:14:00','内场',256,256,'880.00','2025-07-27 16:05:50'),(283,'五月天','北京','北京体育馆','2025-08-22 20:39:00','2025-08-22 22:39:00','VIP',254,254,'1080.00','2025-07-27 16:05:50'),(285,'张学友','深圳','深圳体育馆','2025-08-07 19:59:00','2025-08-07 21:59:00','VIP',405,405,'1280.00','2025-07-27 16:05:50'),(287,'张学友','上海','上海体育馆','2025-08-18 20:47:00','2025-08-18 22:47:00','内场',317,317,'680.00','2025-07-27 16:05:50'),(288,'刀郎','广州','广州体育馆','2025-08-18 21:13:00','2025-08-19 00:13:00','看台',449,449,'50.00','2025-07-27 16:05:50'),(292,'张学友','北京','北京体育馆','2025-08-20 20:56:00','2025-08-20 23:56:00','VIP',314,314,'1080.00','2025-07-27 16:05:50'),(294,'五月天','深圳','深圳体育馆','2025-08-02 21:40:00','2025-08-03 01:40:00','看台',380,380,'180.00','2025-07-27 16:05:50'),(296,'张学友','深圳','深圳体育馆','2025-08-26 20:11:00','2025-08-26 23:11:00','内场',250,250,'880.00','2025-07-27 16:05:50'),(297,'张学友','广州','广州体育馆','2025-08-04 20:24:00','2025-08-04 22:24:00','内场',376,376,'680.00','2025-07-27 16:05:50'),(298,'刀郎','深圳','深圳体育馆','2025-08-24 20:17:00','2025-08-24 23:17:00','VIP',335,335,'1280.00','2025-07-27 16:05:50'),(299,'周杰伦','广州','广州体育馆','2025-08-06 19:55:00','2025-08-06 21:55:00','看台',224,224,'180.00','2025-07-27 16:05:50'),(306,'刀郎','北京','北京体育馆','2025-08-22 20:57:00','2025-08-22 23:57:00','VIP',488,488,'1080.00','2025-07-27 16:05:50'); + + +UPDATE travel_rag.concert_tickets +SET + start_time = DATE_ADD(start_time, INTERVAL DATEDIFF(CURDATE(), '2025-08-06') DAY), + end_time = DATE_ADD(end_time, INTERVAL DATEDIFF(CURDATE(), '2025-08-06') DAY); + +UPDATE travel_rag.flight_tickets +SET + departure_time = DATE_ADD(departure_time, INTERVAL DATEDIFF(CURDATE(), '2025-08-06') DAY), + arrival_time = DATE_ADD(arrival_time, INTERVAL DATEDIFF(CURDATE(), '2025-08-06') DAY); + + +UPDATE travel_rag.train_tickets +SET + departure_time = DATE_ADD(departure_time, INTERVAL DATEDIFF(CURDATE(), '2025-08-06') DAY), + arrival_time = DATE_ADD(arrival_time, INTERVAL DATEDIFF(CURDATE(), '2025-08-06') DAY); + +UPDATE travel_rag.weather_data +SET + fx_date = DATE_ADD(fx_date, INTERVAL DATEDIFF(CURDATE(), '2025-08-06') DAY); \ No newline at end of file diff --git a/SmartVoyage/sql/train_tickets_202601251131.csv b/SmartVoyage/sql/train_tickets_202601251131.csv new file mode 100644 index 0000000..d51b5d5 --- /dev/null +++ b/SmartVoyage/sql/train_tickets_202601251131.csv @@ -0,0 +1,121 @@ +"id","departure_city","arrival_city","departure_time","arrival_time","train_number","seat_type","total_seats","remaining_seats","price","created_at" +1,北京,上海,"2025-08-02 20:36:00","2025-08-02 22:36:00",G703,二等座,183,183,167.85,"2025-07-27 16:04:25" +2,深圳,上海,"2025-08-08 17:00:00","2025-08-08 23:00:00",G195,商务座,286,286,1032.21,"2025-07-27 16:04:25" +3,广州,上海,"2025-07-28 15:45:00","2025-07-28 18:45:00",G567,一等座,106,106,651.42,"2025-07-27 16:04:25" +4,广州,北京,"2025-08-18 23:30:00","2025-08-19 05:30:00",G854,一等座,207,207,721.96,"2025-07-27 16:04:25" +5,广州,深圳,"2025-08-13 16:50:00","2025-08-13 22:50:00",G280,二等座,283,283,160.49,"2025-07-27 16:04:25" +6,北京,广州,"2025-08-16 22:08:00","2025-08-17 03:08:00",G751,二等座,280,280,217.92,"2025-07-27 16:04:25" +7,深圳,上海,"2025-08-17 13:28:00","2025-08-17 18:28:00",G400,商务座,248,248,1060.86,"2025-07-27 16:04:25" +8,广州,深圳,"2025-08-21 21:24:00","2025-08-21 23:24:00",G561,商务座,265,265,812.59,"2025-07-27 16:04:25" +9,上海,广州,"2025-08-04 18:22:00","2025-08-05 00:22:00",G926,二等座,242,242,318.26,"2025-07-27 16:04:25" +10,北京,深圳,"2025-08-11 13:23:00","2025-08-11 18:23:00",G556,二等座,100,100,331.84,"2025-07-27 16:04:25" +11,上海,广州,"2025-08-21 20:20:00","2025-08-21 22:20:00",G305,商务座,154,154,956.04,"2025-07-27 16:04:25" +12,广州,深圳,"2025-07-27 10:06:00","2025-07-27 14:06:00",G674,商务座,165,165,1013.28,"2025-07-27 16:04:25" +13,广州,上海,"2025-08-20 18:58:00","2025-08-20 20:58:00",G778,商务座,210,210,952.15,"2025-07-27 16:04:25" +14,北京,上海,"2025-08-26 19:58:00","2025-08-27 00:00:00",G346,二等座,284,284,397.55,"2025-07-27 16:04:25" +15,上海,深圳,"2025-08-15 14:25:00","2025-08-15 17:25:00",G854,二等座,115,115,143.30,"2025-07-27 16:04:25" +16,深圳,上海,"2025-08-17 16:45:00","2025-08-17 21:45:00",G466,二等座,147,147,314.59,"2025-07-27 16:04:25" +17,北京,上海,"2025-07-28 14:25:00","2025-07-28 19:25:00",G715,一等座,282,282,539.17,"2025-07-27 16:04:25" +18,北京,广州,"2025-08-13 11:35:00","2025-08-13 16:35:00",G188,商务座,263,263,1157.71,"2025-07-27 16:04:25" +19,深圳,上海,"2025-08-18 23:07:00","2025-08-19 03:07:00",G472,商务座,259,259,815.69,"2025-07-27 16:04:25" +20,广州,北京,"2025-08-08 12:31:00","2025-08-08 14:31:00",G880,一等座,104,104,500.71,"2025-07-27 16:04:25" +21,北京,广州,"2025-08-15 10:04:00","2025-08-15 13:04:00",G361,一等座,164,164,646.70,"2025-07-27 16:04:25" +22,北京,广州,"2025-08-23 22:33:00","2025-08-24 01:33:00",G499,商务座,228,228,816.56,"2025-07-27 16:04:25" +23,广州,上海,"2025-07-30 06:58:00","2025-07-30 08:58:00",G229,商务座,158,158,984.22,"2025-07-27 16:04:25" +24,北京,广州,"2025-08-18 18:17:00","2025-08-19 00:17:00",G407,商务座,229,229,1117.76,"2025-07-27 16:04:25" +25,深圳,上海,"2025-08-07 07:20:00","2025-08-07 11:20:00",G359,商务座,183,183,985.25,"2025-07-27 16:04:25" +26,广州,上海,"2025-08-26 22:42:00","2025-08-27 00:00:00",G135,二等座,162,162,435.84,"2025-07-27 16:04:25" +27,北京,上海,"2025-08-02 21:15:00","2025-08-02 23:15:00",G499,商务座,254,254,964.94,"2025-07-27 16:04:25" +28,上海,北京,"2025-08-21 07:42:00","2025-08-21 10:42:00",G264,二等座,254,254,409.88,"2025-07-27 16:04:25" +29,上海,广州,"2025-08-05 23:49:00","2025-08-06 02:49:00",G175,商务座,279,279,881.48,"2025-07-27 16:04:25" +30,北京,深圳,"2025-08-10 11:49:00","2025-08-10 16:49:00",G985,商务座,107,107,1108.01,"2025-07-27 16:04:25" +31,上海,广州,"2025-08-09 21:21:00","2025-08-10 03:21:00",G373,一等座,256,256,532.61,"2025-07-27 16:04:25" +32,广州,深圳,"2025-07-30 13:42:00","2025-07-30 18:42:00",G536,一等座,241,241,647.11,"2025-07-27 16:04:25" +33,深圳,广州,"2025-08-27 11:39:00","2025-08-27 00:00:00",G303,一等座,214,214,661.10,"2025-07-27 16:04:25" +34,北京,深圳,"2025-08-27 21:46:00","2025-08-27 00:00:00",G416,商务座,181,181,973.53,"2025-07-27 16:04:25" +35,北京,广州,"2025-08-11 18:08:00","2025-08-11 20:08:00",G529,商务座,164,164,860.61,"2025-07-27 16:04:25" +36,北京,深圳,"2025-08-27 14:30:00","2025-08-27 00:00:00",G767,二等座,100,100,377.62,"2025-07-27 16:04:25" +37,上海,深圳,"2025-08-16 10:18:00","2025-08-16 13:18:00",G717,二等座,300,300,348.43,"2025-07-27 16:04:25" +38,北京,广州,"2025-08-05 08:51:00","2025-08-05 14:51:00",G295,商务座,202,202,833.75,"2025-07-27 16:04:25" +39,深圳,广州,"2025-08-27 23:45:00","2025-08-27 00:00:00",G444,商务座,136,136,1096.68,"2025-07-27 16:04:25" +40,北京,深圳,"2025-08-04 15:28:00","2025-08-04 21:28:00",G591,商务座,110,110,850.18,"2025-07-27 16:04:25" +41,上海,深圳,"2025-08-11 17:24:00","2025-08-11 20:24:00",G997,一等座,199,199,507.04,"2025-07-27 16:04:25" +42,深圳,北京,"2025-07-31 21:52:00","2025-07-31 23:52:00",G129,二等座,264,264,334.37,"2025-07-27 16:04:25" +43,上海,广州,"2025-08-05 08:46:00","2025-08-05 14:46:00",G546,一等座,152,152,576.66,"2025-07-27 16:04:25" +44,上海,深圳,"2025-08-03 23:12:00","2025-08-04 03:12:00",G929,一等座,213,213,570.96,"2025-07-27 16:04:25" +45,上海,北京,"2025-08-19 13:11:00","2025-08-19 16:11:00",G942,商务座,197,197,808.51,"2025-07-27 16:04:25" +46,广州,北京,"2025-08-06 15:32:00","2025-08-06 20:32:00",G118,商务座,288,288,851.79,"2025-07-27 16:04:25" +47,广州,北京,"2025-08-06 18:31:00","2025-08-06 23:31:00",G423,一等座,123,123,613.49,"2025-07-27 16:04:25" +48,深圳,北京,"2025-08-08 11:52:00","2025-08-08 13:52:00",G565,二等座,223,223,330.15,"2025-07-27 16:04:25" +49,上海,广州,"2025-07-29 16:57:00","2025-07-29 21:57:00",G999,商务座,261,261,976.29,"2025-07-27 16:04:25" +50,上海,广州,"2025-08-03 10:08:00","2025-08-03 12:08:00",G874,商务座,201,201,810.12,"2025-07-27 16:04:25" +51,上海,广州,"2025-08-11 21:00:00","2025-08-12 00:00:00",G646,二等座,289,289,353.64,"2025-07-27 16:04:25" +52,北京,上海,"2025-08-20 10:24:00","2025-08-20 16:24:00",G273,商务座,245,245,949.04,"2025-07-27 16:04:25" +53,深圳,广州,"2025-07-31 12:07:00","2025-07-31 18:07:00",G415,一等座,140,140,660.54,"2025-07-27 16:04:25" +54,北京,广州,"2025-08-13 19:00:00","2025-08-13 23:00:00",G684,商务座,278,278,1010.40,"2025-07-27 16:04:25" +55,北京,上海,"2025-08-01 10:31:00","2025-08-01 13:31:00",G283,一等座,201,201,799.32,"2025-07-27 16:04:25" +56,北京,上海,"2025-08-12 13:04:00","2025-08-12 19:04:00",G135,商务座,103,103,986.00,"2025-07-27 16:04:25" +57,深圳,北京,"2025-08-13 08:28:00","2025-08-13 11:28:00",G111,二等座,124,124,392.69,"2025-07-27 16:04:25" +58,广州,深圳,"2025-08-15 08:46:00","2025-08-15 10:46:00",G502,二等座,178,178,110.15,"2025-07-27 16:04:25" +59,广州,北京,"2025-08-23 08:44:00","2025-08-23 10:44:00",G948,商务座,195,195,1021.77,"2025-07-27 16:04:25" +60,深圳,上海,"2025-08-23 12:18:00","2025-08-23 17:18:00",G447,二等座,219,219,331.16,"2025-07-27 16:04:25" +61,深圳,广州,"2025-07-31 17:27:00","2025-07-31 21:27:00",G303,一等座,212,212,703.15,"2025-07-27 16:04:25" +62,上海,广州,"2025-08-15 19:57:00","2025-08-16 01:57:00",G185,二等座,237,237,295.43,"2025-07-27 16:04:25" +63,北京,上海,"2025-08-06 13:06:00","2025-08-06 17:06:00",G795,一等座,290,290,564.04,"2025-07-27 16:04:25" +64,广州,上海,"2025-08-14 09:49:00","2025-08-14 14:49:00",G400,商务座,267,267,1045.80,"2025-07-27 16:04:25" +65,北京,广州,"2025-08-27 20:47:00","2025-08-27 00:00:00",G242,二等座,262,262,209.73,"2025-07-27 16:04:25" +66,广州,深圳,"2025-08-05 15:33:00","2025-08-05 18:33:00",G804,一等座,155,155,676.63,"2025-07-27 16:04:25" +67,上海,广州,"2025-08-27 11:10:00","2025-08-27 00:00:00",G311,一等座,248,248,703.68,"2025-07-27 16:04:25" +68,北京,广州,"2025-08-14 18:59:00","2025-08-14 23:59:00",G389,商务座,247,247,1164.69,"2025-07-27 16:04:25" +69,上海,北京,"2025-08-24 21:01:00","2025-08-25 00:01:00",G365,商务座,234,234,893.20,"2025-07-27 16:04:25" +70,北京,广州,"2025-07-29 12:02:00","2025-07-29 18:02:00",G716,一等座,228,228,791.22,"2025-07-27 16:04:25" +71,上海,广州,"2025-08-07 21:58:00","2025-08-08 00:58:00",G326,二等座,233,233,109.16,"2025-07-27 16:04:25" +72,深圳,广州,"2025-08-19 23:28:00","2025-08-20 03:28:00",G954,商务座,175,175,1033.73,"2025-07-27 16:04:25" +73,广州,北京,"2025-08-21 19:29:00","2025-08-22 00:29:00",G658,一等座,128,128,686.68,"2025-07-27 16:04:25" +74,广州,北京,"2025-08-09 16:26:00","2025-08-09 22:26:00",G268,商务座,214,214,850.37,"2025-07-27 16:04:25" +75,广州,深圳,"2025-08-25 16:28:00","2025-08-25 19:28:00",G983,二等座,163,163,389.07,"2025-07-27 16:04:25" +76,广州,北京,"2025-07-31 17:37:00","2025-07-31 21:37:00",G798,一等座,288,288,552.14,"2025-07-27 16:04:25" +77,深圳,上海,"2025-07-30 12:55:00","2025-07-30 18:55:00",G806,一等座,300,300,531.94,"2025-07-27 16:04:25" +78,深圳,广州,"2025-08-05 10:25:00","2025-08-05 16:25:00",G287,商务座,107,107,1002.25,"2025-07-27 16:04:25" +79,北京,深圳,"2025-08-20 21:55:00","2025-08-21 02:55:00",G196,商务座,242,242,1111.37,"2025-07-27 16:04:25" +80,深圳,广州,"2025-08-04 19:04:00","2025-08-05 01:04:00",G384,商务座,177,177,1045.08,"2025-07-27 16:04:25" +81,上海,深圳,"2025-08-14 18:57:00","2025-08-14 22:57:00",G680,二等座,240,240,358.23,"2025-07-27 16:04:25" +82,上海,广州,"2025-07-28 20:11:00","2025-07-28 23:11:00",G813,二等座,140,140,182.71,"2025-07-27 16:04:25" +83,上海,广州,"2025-08-23 11:37:00","2025-08-23 16:37:00",G446,商务座,152,152,992.52,"2025-07-27 16:04:25" +84,上海,广州,"2025-07-30 21:30:00","2025-07-30 23:30:00",G251,一等座,253,253,570.24,"2025-07-27 16:04:25" +85,广州,深圳,"2025-08-26 21:53:00","2025-08-27 00:00:00",G113,商务座,275,275,1143.96,"2025-07-27 16:04:25" +86,上海,广州,"2025-07-27 12:12:00","2025-07-27 18:12:00",G841,一等座,284,284,768.87,"2025-07-27 16:04:25" +87,广州,上海,"2025-08-06 08:19:00","2025-08-06 13:19:00",G970,商务座,276,276,1055.65,"2025-07-27 16:04:25" +88,深圳,北京,"2025-08-25 10:02:00","2025-08-25 16:02:00",G611,一等座,194,194,551.83,"2025-07-27 16:04:25" +89,深圳,北京,"2025-08-13 09:39:00","2025-08-13 13:39:00",G588,商务座,258,258,817.85,"2025-07-27 16:04:25" +90,上海,北京,"2025-07-27 22:12:00","2025-07-28 01:12:00",G434,一等座,147,147,741.97,"2025-07-27 16:04:25" +91,广州,上海,"2025-08-24 23:13:00","2025-08-25 04:13:00",G764,商务座,280,280,890.17,"2025-07-27 16:04:25" +92,上海,北京,"2025-08-18 20:31:00","2025-08-18 23:31:00",G355,商务座,232,232,960.37,"2025-07-27 16:04:25" +93,深圳,上海,"2025-08-13 17:12:00","2025-08-13 22:12:00",G104,一等座,219,219,513.02,"2025-07-27 16:04:25" +94,深圳,北京,"2025-07-27 14:59:00","2025-07-27 16:59:00",G656,二等座,144,144,403.38,"2025-07-27 16:04:25" +95,上海,北京,"2025-08-21 10:36:00","2025-08-21 14:36:00",G188,二等座,296,296,187.76,"2025-07-27 16:04:25" +96,上海,北京,"2025-08-02 20:09:00","2025-08-03 01:09:00",G276,一等座,252,252,628.64,"2025-07-27 16:04:25" +97,北京,深圳,"2025-08-16 11:04:00","2025-08-16 17:04:00",G670,一等座,182,182,606.45,"2025-07-27 16:04:25" +98,深圳,北京,"2025-07-30 08:13:00","2025-07-30 10:13:00",G327,商务座,107,107,1004.35,"2025-07-27 16:04:25" +99,深圳,广州,"2025-08-14 15:50:00","2025-08-14 20:50:00",G348,一等座,237,237,611.31,"2025-07-27 16:04:25" +100,广州,北京,"2025-08-12 09:51:00","2025-08-12 13:51:00",G273,商务座,108,108,816.47,"2025-07-27 16:04:25" +101,广州,上海,"2025-08-14 11:35:00","2025-08-14 14:35:00",G294,商务座,154,154,1058.42,"2025-07-27 16:04:25" +102,上海,北京,"2025-08-19 16:52:00","2025-08-19 18:52:00",G604,二等座,140,140,250.95,"2025-07-27 16:04:25" +103,广州,北京,"2025-07-30 09:44:00","2025-07-30 14:44:00",G950,商务座,162,162,1019.56,"2025-07-27 16:04:25" +104,北京,深圳,"2025-08-15 11:42:00","2025-08-15 15:42:00",G681,一等座,123,123,651.70,"2025-07-27 16:04:25" +105,广州,北京,"2025-08-21 19:30:00","2025-08-21 22:30:00",G487,一等座,294,294,730.46,"2025-07-27 16:04:25" +106,深圳,北京,"2025-08-19 15:04:00","2025-08-19 20:04:00",G583,二等座,140,140,205.26,"2025-07-27 16:04:25" +107,上海,广州,"2025-08-11 14:03:00","2025-08-11 18:03:00",G995,商务座,204,204,964.67,"2025-07-27 16:04:25" +108,上海,深圳,"2025-08-26 22:16:00","2025-08-27 00:00:00",G725,一等座,103,103,585.21,"2025-07-27 16:04:25" +109,上海,北京,"2025-08-08 09:57:00","2025-08-08 13:57:00",G660,商务座,149,149,812.18,"2025-07-27 16:04:25" +110,深圳,广州,"2025-08-12 12:24:00","2025-08-12 17:24:00",G708,商务座,277,277,1115.17,"2025-07-27 16:04:25" +111,上海,深圳,"2025-08-03 13:15:00","2025-08-03 16:15:00",G136,二等座,241,241,196.91,"2025-07-27 16:04:25" +112,广州,深圳,"2025-08-21 07:46:00","2025-08-21 12:46:00",G482,一等座,210,210,541.67,"2025-07-27 16:04:25" +113,北京,深圳,"2025-08-20 19:53:00","2025-08-20 21:53:00",G374,二等座,147,147,239.14,"2025-07-27 16:04:25" +114,上海,广州,"2025-08-24 13:04:00","2025-08-24 15:04:00",G516,二等座,127,127,404.41,"2025-07-27 16:04:25" +115,广州,深圳,"2025-08-14 20:00:00","2025-08-15 01:00:00",G509,二等座,134,134,269.29,"2025-07-27 16:04:25" +116,北京,深圳,"2025-08-23 08:24:00","2025-08-23 13:24:00",G944,二等座,179,179,449.69,"2025-07-27 16:04:25" +117,广州,上海,"2025-08-26 16:34:00","2025-08-26 19:34:00",G292,商务座,246,246,943.47,"2025-07-27 16:04:25" +118,广州,深圳,"2025-08-03 10:33:00","2025-08-03 14:33:00",G244,商务座,156,156,1042.67,"2025-07-27 16:04:25" +119,上海,北京,"2025-08-05 18:54:00","2025-08-05 23:54:00",G132,商务座,220,220,1086.29,"2025-07-27 16:04:25" +120,上海,广州,"2025-08-03 10:25:00","2025-08-03 13:25:00",G758,一等座,191,191,517.92,"2025-07-27 16:04:25" diff --git a/SmartVoyage/sql/weather_data_202601251130.csv b/SmartVoyage/sql/weather_data_202601251130.csv new file mode 100644 index 0000000..b3917e4 --- /dev/null +++ b/SmartVoyage/sql/weather_data_202601251130.csv @@ -0,0 +1,297 @@ +"id","city","fx_date","sunrise","sunset","moonrise","moonset","moon_phase","moon_phase_icon","temp_max","temp_min","icon_day","text_day","icon_night","text_night","wind360_day","wind_dir_day","wind_scale_day","wind_speed_day","wind360_night","wind_dir_night","wind_scale_night","wind_speed_night","precip","uv_index","humidity","pressure","vis","cloud","update_time" +241,北京,"2025-07-28","05:10:00","19:33:00","08:36:00","21:34:00",蛾眉月,"801",30,25,"302",雷阵雨,"307",大雨,225,西南风,"1-3",3,270,西风,"1-3",3,2.1,8,89,992,20,40,"2025-07-28 14:52:00" +242,北京,"2025-07-29","05:11:00","19:33:00","09:39:00","21:54:00",蛾眉月,"801",33,24,"302",雷阵雨,"151",多云,270,西风,"1-3",3,45,东北风,"1-3",3,7.8,5,85,994,24,48,"2025-07-28 14:52:00" +243,北京,"2025-07-30","05:11:00","19:32:00","10:40:00","22:13:00",蛾眉月,"801",32,24,"101",多云,"104",阴,90,东风,"1-3",3,45,东北风,"1-3",3,1.0,10,83,995,24,40,"2025-07-28 14:52:00" +244,北京,"2025-07-31","05:12:00","19:31:00","11:40:00","22:34:00",蛾眉月,"801",30,24,"101",多云,"151",多云,135,东南风,"1-3",3,45,东北风,"1-3",3,1.0,5,88,996,24,40,"2025-07-28 14:52:00" +245,北京,"2025-08-01","05:13:00","19:30:00","12:41:00","22:58:00",上弦月,"802",30,24,"104",阴,"104",阴,180,南风,"1-3",3,135,东南风,"1-3",3,0.0,9,69,995,24,25,"2025-07-28 14:52:00" +246,北京,"2025-08-02","05:14:00","19:29:00","13:43:00","23:24:00",盈凸月,"803",32,24,"302",雷阵雨,"151",多云,135,东南风,"1-3",3,135,东南风,"1-3",3,0.0,9,72,992,22,2,"2025-07-28 14:52:00" +247,北京,"2025-08-03","05:15:00","19:27:00","14:45:00","23:59:00",盈凸月,"803",32,24,"101",多云,"302",雷阵雨,225,西南风,"1-3",3,0,北风,"1-3",3,0.3,5,80,995,24,40,"2025-07-28 14:52:00" +248,北京,"2025-08-04","05:16:00","19:26:00","15:46:00","00:00:00",盈凸月,"803",32,23,"305",小雨,"104",阴,135,东南风,"1-3",3,45,东北风,"1-3",3,16.7,9,90,993,20,85,"2025-07-28 14:52:00" +249,北京,"2025-08-05","05:17:00","19:25:00","16:43:00","00:40:00",盈凸月,"803",32,24,"101",多云,"150",晴,180,南风,"1-3",3,45,东北风,"1-3",3,0.0,9,91,993,25,1,"2025-07-28 14:52:00" +250,北京,"2025-08-06","05:18:00","19:24:00","17:34:00","01:29:00",盈凸月,"803",34,25,"104",阴,"104",阴,180,南风,"1-3",3,90,东风,"1-3",3,0.0,9,76,997,24,0,"2025-07-28 14:52:00" +251,北京,"2025-08-07","05:19:00","19:23:00","18:18:00","02:28:00",盈凸月,"803",33,20,"305",小雨,"305",小雨,270,西风,"1-3",3,315,西北风,"1-3",3,0.0,5,82,1000,23,10,"2025-07-28 14:52:00" +252,北京,"2025-08-08","05:20:00","19:22:00","18:55:00","03:34:00",盈凸月,"803",31,18,"101",多云,"151",多云,0,北风,"1-3",3,0,北风,"1-3",3,0.0,9,89,1000,22,15,"2025-07-28 14:52:00" +253,北京,"2025-08-09","05:21:00","19:21:00","19:26:00","04:44:00",满月,"804",30,18,"104",阴,"150",晴,0,北风,"1-3",3,0,北风,"1-3",3,0.6,9,85,999,24,56,"2025-07-28 14:52:00" +254,北京,"2025-08-10","05:22:00","19:19:00","19:54:00","05:55:00",亏凸月,"805",34,20,"101",多云,"104",阴,225,西南风,"1-3",3,225,西南风,"1-3",3,0.0,8,72,997,25,20,"2025-07-28 14:52:00" +255,北京,"2025-08-11","05:23:00","19:18:00","20:19:00","07:06:00",亏凸月,"805",33,24,"101",多云,"302",雷阵雨,180,南风,"1-3",3,180,南风,"1-3",3,0.0,9,88,999,24,6,"2025-08-11 20:18:00" +256,北京,"2025-08-12","05:24:00","19:17:00","20:44:00","08:17:00",亏凸月,"805",31,22,"302",雷阵雨,"306",中雨,90,东风,"1-3",3,0,北风,"1-3",3,5.0,5,94,1003,24,80,"2025-08-11 20:18:00" +257,北京,"2025-08-13","05:25:00","19:16:00","21:08:00","09:29:00",亏凸月,"805",31,23,"302",雷阵雨,"151",多云,225,西南风,"1-3",3,0,北风,"1-3",3,0.0,3,94,1005,24,25,"2025-08-11 20:18:00" +258,北京,"2025-08-14","05:26:00","19:14:00","21:36:00","10:44:00",亏凸月,"805",31,23,"104",阴,"302",雷阵雨,180,南风,"1-3",3,135,东南风,"1-3",3,0.0,9,95,1005,19,25,"2025-08-11 20:18:00" +259,北京,"2025-08-15","05:27:00","19:13:00","22:07:00","12:02:00",亏凸月,"805",31,23,"101",多云,"302",雷阵雨,180,南风,"1-3",3,135,东南风,"1-3",3,0.0,5,91,1002,24,14,"2025-08-11 20:18:00" +260,北京,"2025-08-16","05:28:00","19:12:00","22:46:00","13:19:00",下弦月,"806",31,24,"302",雷阵雨,"302",雷阵雨,180,南风,"1-3",3,180,南风,"1-3",3,4.9,3,92,1002,23,88,"2025-08-11 20:18:00" +261,北京,"2025-08-17","05:29:00","19:10:00","23:34:00","14:37:00",残月,"807",31,24,"302",雷阵雨,"104",阴,180,南风,"1-3",3,180,南风,"1-3",3,1.0,2,95,998,22,55,"2025-08-11 20:18:00" +262,北京,"2025-08-18","05:30:00","19:09:00","00:00:00","15:50:00",残月,"807",30,24,"104",阴,"305",小雨,180,南风,"1-3",3,0,北风,"1-3",3,2.5,2,90,998,25,55,"2025-08-11 20:18:00" +263,北京,"2025-08-19","05:31:00","19:08:00","00:33:00","16:52:00",残月,"807",31,23,"104",阴,"305",小雨,90,东风,"1-3",3,0,北风,"1-3",3,4.6,2,97,996,7,55,"2025-08-11 20:18:00" +264,北京,"2025-08-20","05:31:00","19:06:00","01:40:00","17:41:00",残月,"807",31,23,"305",小雨,"305",小雨,45,东北风,"1-3",3,45,东北风,"1-3",3,0.0,4,97,996,12,10,"2025-08-11 20:18:00" +265,北京,"2025-08-21","05:32:00","19:05:00","02:53:00","18:19:00",残月,"807",28,23,"305",小雨,"305",小雨,180,南风,"1-3",3,0,北风,"1-3",3,22.4,1,81,1005,24,80,"2025-08-11 20:18:00" +266,北京,"2025-08-22","05:33:00","19:03:00","04:05:00","18:51:00",残月,"807",29,19,"104",阴,"104",阴,45,东北风,"1-3",16,135,东南风,"1-3",3,0.0,8,77,1009,24,2,"2025-08-11 20:18:00" +267,北京,"2025-08-23","05:34:00","19:02:00","05:16:00","19:16:00",新月,"800",26,19,"101",多云,"104",阴,180,南风,"1-3",3,180,南风,"1-3",3,5.9,4,90,1008,20,65,"2025-08-11 20:18:00" +268,北京,"2025-08-24","05:35:00","19:00:00","06:23:00","19:38:00",蛾眉月,"801",28,21,"104",阴,"305",小雨,180,南风,"1-3",3,0,北风,"1-3",3,0.6,2,92,1006,16,56,"2025-08-11 20:18:00" +269,北京,"2025-08-25","05:36:00","18:59:00","07:27:00","19:59:00",蛾眉月,"801",23,20,"305",小雨,"104",阴,0,北风,"1-3",3,0,北风,"1-3",3,1.4,2,99,1000,12,55,"2025-08-11 20:18:00" +270,北京,"2025-08-26","05:37:00","18:57:00","08:29:00","20:17:00",蛾眉月,"801",27,21,"302",雷阵雨,"302",雷阵雨,122,东南风,"1-3",7,145,东南风,"1-3",11,11.2,2,91,1003,24,69,"2025-08-11 20:18:00" +271,上海,"2025-07-28","05:09:00","18:54:00","08:21:00","21:10:00",蛾眉月,"801",31,25,"305",小雨,"305",小雨,90,东风,"1-3",16,90,东风,"1-3",3,3.8,5,80,999,24,78,"2025-07-28 14:52:00" +272,上海,"2025-07-29","05:09:00","18:53:00","09:18:00","21:35:00",蛾眉月,"801",29,26,"310",暴雨,"306",中雨,135,东南风,"1-3",16,90,东风,"1-3",16,28.0,3,95,995,4,98,"2025-07-28 14:52:00" +273,上海,"2025-07-30","05:10:00","18:52:00","10:13:00","22:01:00",蛾眉月,"801",29,26,"307",大雨,"307",大雨,135,东南风,"1-3",16,135,东南风,"1-3",16,10.4,6,95,990,12,87,"2025-07-28 14:52:00" +274,上海,"2025-07-31","05:11:00","18:52:00","11:08:00","22:26:00",蛾眉月,"801",31,27,"305",小雨,"305",小雨,135,东南风,"1-3",16,135,东南风,"1-3",16,1.0,11,93,996,24,40,"2025-07-28 14:52:00" +275,上海,"2025-08-01","05:11:00","18:51:00","12:03:00","22:56:00",上弦月,"802",32,28,"305",小雨,"104",阴,135,东南风,"1-3",16,135,东南风,"1-3",16,0.7,9,96,996,23,56,"2025-07-28 14:52:00" +276,上海,"2025-08-02","05:12:00","18:50:00","12:59:00","23:27:00",盈凸月,"803",32,27,"305",小雨,"305",小雨,135,东南风,"1-3",16,90,东风,"1-3",3,2.5,5,91,998,24,41,"2025-07-28 14:52:00" +277,上海,"2025-08-03","05:13:00","18:50:00","13:57:00","00:00:00",盈凸月,"803",33,28,"104",阴,"151",多云,135,东南风,"1-3",3,0,北风,"1-3",3,2.4,8,84,1001,25,43,"2025-07-28 14:52:00" +278,上海,"2025-08-04","05:13:00","18:49:00","14:54:00","00:05:00",盈凸月,"803",34,28,"305",小雨,"151",多云,135,东南风,"1-3",3,180,南风,"1-3",3,0.0,8,81,1001,24,25,"2025-07-28 14:52:00" +279,上海,"2025-08-05","05:14:00","18:48:00","15:50:00","00:50:00",盈凸月,"803",35,28,"100",晴,"104",阴,135,东南风,"1-3",3,225,西南风,"1-3",3,1.8,8,83,1000,25,63,"2025-07-28 14:52:00" +280,上海,"2025-08-06","05:15:00","18:47:00","16:42:00","01:40:00",盈凸月,"803",35,29,"305",小雨,"104",阴,180,南风,"1-3",3,90,东风,"1-3",3,8.5,7,89,1001,24,64,"2025-07-28 14:52:00" +281,上海,"2025-08-07","05:15:00","18:46:00","17:29:00","02:38:00",盈凸月,"803",35,28,"104",阴,"104",阴,90,东风,"1-3",3,90,东风,"1-3",3,8.5,5,91,1001,24,64,"2025-07-28 14:52:00" +282,上海,"2025-08-08","05:16:00","18:45:00","18:11:00","03:39:00",盈凸月,"803",38,29,"104",阴,"104",阴,45,东北风,"1-3",3,90,东风,"1-3",3,7.3,5,95,999,24,61,"2025-07-28 14:52:00" +283,上海,"2025-08-09","05:17:00","18:44:00","18:48:00","04:44:00",满月,"804",37,28,"305",小雨,"305",小雨,90,东风,"1-3",3,0,北风,"1-3",3,0.0,4,95,996,23,25,"2025-07-28 14:52:00" +284,上海,"2025-08-10","05:17:00","18:44:00","19:22:00","05:49:00",亏凸月,"805",33,28,"305",小雨,"305",小雨,0,北风,"1-3",3,270,西风,"1-3",3,12.1,3,96,997,15,65,"2025-07-28 14:52:00" +285,上海,"2025-08-11","05:18:00","18:43:00","19:53:00","06:54:00",亏凸月,"805",35,27,"305",小雨,"305",小雨,45,东北风,"1-3",3,90,东风,"1-3",3,4.1,7,94,1005,24,55,"2025-08-11 20:18:00" +286,上海,"2025-08-12","05:18:00","18:42:00","20:24:00","07:59:00",亏凸月,"805",35,28,"305",小雨,"104",阴,180,南风,"1-3",3,180,南风,"1-3",3,3.3,3,82,1008,24,88,"2025-08-11 20:18:00" +287,上海,"2025-08-13","05:19:00","18:41:00","20:55:00","09:04:00",亏凸月,"805",35,28,"104",阴,"104",阴,180,南风,"1-3",3,180,南风,"1-3",16,0.0,11,83,1011,25,5,"2025-08-11 20:18:00" +288,上海,"2025-08-14","05:20:00","18:40:00","21:29:00","10:11:00",亏凸月,"805",35,28,"104",阴,"104",阴,135,东南风,"1-3",16,180,南风,"1-3",16,0.0,9,82,1011,25,4,"2025-08-11 20:18:00" +289,上海,"2025-08-15","05:20:00","18:39:00","22:07:00","11:21:00",亏凸月,"805",35,27,"101",多云,"104",阴,135,东南风,"1-3",16,135,东南风,"1-3",3,0.0,11,82,1011,25,2,"2025-08-11 20:18:00" +290,上海,"2025-08-16","05:21:00","18:38:00","22:52:00","12:33:00",下弦月,"806",35,27,"104",阴,"104",阴,135,东南风,"1-3",16,135,东南风,"1-3",3,0.0,11,85,1011,25,2,"2025-08-11 20:18:00" +291,上海,"2025-08-17","05:22:00","18:37:00","23:44:00","13:46:00",残月,"807",35,27,"104",阴,"104",阴,135,东南风,"1-3",3,180,南风,"1-3",3,0.0,10,83,1009,25,3,"2025-08-11 20:18:00" +292,上海,"2025-08-18","05:22:00","18:36:00","00:00:00","14:56:00",残月,"807",36,28,"104",阴,"150",晴,135,东南风,"1-3",3,180,南风,"1-3",3,0.0,10,83,1008,25,3,"2025-08-11 20:18:00" +293,上海,"2025-08-19","05:23:00","18:35:00","00:44:00","15:59:00",残月,"807",35,27,"101",多云,"150",晴,135,东南风,"1-3",16,135,东南风,"1-3",3,0.0,10,82,1005,25,2,"2025-08-11 20:18:00" +294,上海,"2025-08-20","05:24:00","18:34:00","01:50:00","16:52:00",残月,"807",35,27,"100",晴,"150",晴,135,东南风,"1-3",16,135,东南风,"1-3",3,0.3,10,72,1004,25,55,"2025-08-11 20:18:00" +295,上海,"2025-08-21","05:24:00","18:32:00","02:58:00","17:35:00",残月,"807",34,27,"100",晴,"151",多云,135,东南风,"3-4",24,135,东南风,"1-3",16,0.0,10,77,1007,25,1,"2025-08-11 20:18:00" +296,上海,"2025-08-22","05:25:00","18:31:00","04:06:00","18:12:00",残月,"807",34,28,"101",多云,"151",多云,135,东南风,"3-4",24,135,东南风,"1-3",16,0.0,10,75,1009,25,1,"2025-08-11 20:18:00" +297,上海,"2025-08-23","05:25:00","18:30:00","05:10:00","18:44:00",新月,"800",34,27,"101",多云,"151",多云,135,东南风,"1-3",16,135,东南风,"1-3",16,0.0,6,81,1011,25,25,"2025-08-11 20:18:00" +298,上海,"2025-08-24","05:26:00","18:29:00","06:11:00","19:12:00",蛾眉月,"801",34,27,"101",多云,"151",多云,135,东南风,"1-3",16,135,东南风,"1-3",16,3.2,10,83,1011,25,65,"2025-08-11 20:18:00" +299,上海,"2025-08-25","05:27:00","18:28:00","07:08:00","19:38:00",蛾眉月,"801",35,26,"100",晴,"150",晴,135,东南风,"1-3",16,135,东南风,"1-3",16,2.2,4,83,1008,25,65,"2025-08-11 20:18:00" +300,上海,"2025-08-26","05:27:00","18:27:00","08:04:00","20:03:00",蛾眉月,"801",31,25,"302",雷阵雨,"350",阵雨,131,东南风,"3-4",26,132,东南风,"3-4",24,2.9,5,81,1008,25,65,"2025-08-11 20:18:00" +301,广州,"2025-07-28","05:56:00","19:12:00","09:00:00","21:41:00",蛾眉月,"801",35,25,"315",中到大雨,"315",中到大雨,0,北风,"1-3",3,0,北风,"1-3",3,15.1,5,81,994,24,92,"2025-07-28 14:52:00" +302,广州,"2025-07-29","05:57:00","19:11:00","09:52:00","22:10:00",蛾眉月,"801",33,25,"315",中到大雨,"302",雷阵雨,0,北风,"1-3",3,0,北风,"1-3",3,5.9,4,78,994,21,78,"2025-07-28 14:52:00" +303,广州,"2025-07-30","05:57:00","19:11:00","10:43:00","22:40:00",蛾眉月,"801",33,26,"302",雷阵雨,"302",雷阵雨,0,北风,"1-3",3,0,北风,"1-3",3,12.0,3,77,994,22,88,"2025-07-28 14:52:00" +304,广州,"2025-07-31","05:58:00","19:10:00","11:34:00","23:10:00",蛾眉月,"801",34,26,"302",雷阵雨,"302",雷阵雨,0,北风,"1-3",3,0,北风,"1-3",3,8.9,12,74,996,24,76,"2025-07-28 14:52:00" +305,广州,"2025-08-01","05:58:00","19:10:00","12:25:00","23:43:00",上弦月,"802",34,26,"302",雷阵雨,"302",雷阵雨,0,北风,"1-3",3,0,北风,"1-3",3,4.2,3,77,997,19,71,"2025-07-28 14:52:00" +306,广州,"2025-08-02","05:58:00","19:09:00","13:17:00","00:00:00",盈凸月,"803",33,25,"302",雷阵雨,"302",雷阵雨,0,北风,"1-3",3,0,北风,"1-3",3,4.5,3,82,999,18,60,"2025-07-28 14:52:00" +307,广州,"2025-08-03","05:59:00","19:09:00","14:11:00","00:19:00",盈凸月,"803",30,26,"307",大雨,"307",大雨,0,北风,"1-3",3,0,北风,"1-3",3,24.1,3,83,1002,21,69,"2025-07-28 14:52:00" +308,广州,"2025-08-04","05:59:00","19:08:00","15:05:00","01:01:00",盈凸月,"803",29,25,"305",小雨,"305",小雨,180,南风,"1-3",3,225,西南风,"1-3",3,21.7,4,73,1002,24,68,"2025-07-28 14:52:00" +309,广州,"2025-08-05","06:00:00","19:08:00","15:59:00","01:47:00",盈凸月,"803",31,26,"305",小雨,"305",小雨,90,东风,"1-3",3,180,南风,"1-3",3,9.8,3,68,1001,25,64,"2025-07-28 14:52:00" +310,广州,"2025-08-06","06:00:00","19:07:00","16:52:00","02:39:00",盈凸月,"803",32,27,"305",小雨,"305",小雨,135,东南风,"1-3",3,180,南风,"1-3",3,1.6,11,70,1001,25,56,"2025-07-28 14:52:00" +311,广州,"2025-08-07","06:01:00","19:06:00","17:42:00","03:34:00",盈凸月,"803",33,27,"305",小雨,"104",阴,180,南风,"1-3",3,180,南风,"1-3",3,1.8,5,71,1002,25,57,"2025-07-28 14:52:00" +312,广州,"2025-08-08","06:01:00","19:06:00","18:27:00","04:34:00",盈凸月,"803",32,27,"104",阴,"104",阴,135,东南风,"1-3",3,180,南风,"1-3",3,2.0,6,71,1000,24,40,"2025-07-28 14:52:00" +313,广州,"2025-08-09","06:01:00","19:05:00","19:08:00","05:34:00",满月,"804",33,27,"305",小雨,"305",小雨,225,西南风,"1-3",3,180,南风,"1-3",3,0.0,5,73,998,22,25,"2025-07-28 14:52:00" +314,广州,"2025-08-10","06:02:00","19:04:00","19:46:00","06:35:00",亏凸月,"805",34,27,"305",小雨,"305",小雨,270,西风,"1-3",3,180,南风,"1-3",3,0.0,4,73,998,23,25,"2025-07-28 14:52:00" +315,广州,"2025-08-11","06:02:00","19:04:00","20:23:00","07:34:00",亏凸月,"805",35,26,"101",多云,"350",阵雨,0,北风,"1-3",3,0,北风,"1-3",3,3.7,6,71,1004,24,80,"2025-08-11 20:18:00" +316,广州,"2025-08-12","06:03:00","19:03:00","20:58:00","08:34:00",亏凸月,"805",35,26,"302",雷阵雨,"350",阵雨,0,北风,"1-3",3,0,北风,"1-3",3,8.4,6,76,1005,24,89,"2025-08-11 20:18:00" +317,广州,"2025-08-13","06:03:00","19:02:00","21:35:00","09:34:00",亏凸月,"805",35,24,"302",雷阵雨,"302",雷阵雨,0,北风,"1-3",3,0,北风,"1-3",3,2.0,12,77,1001,22,80,"2025-08-11 20:18:00" +318,广州,"2025-08-14","06:04:00","19:02:00","22:14:00","10:37:00",亏凸月,"805",29,24,"307",大雨,"307",大雨,180,南风,"1-3",16,0,北风,"1-3",3,15.1,4,89,1005,16,95,"2025-08-11 20:18:00" +319,广州,"2025-08-15","06:04:00","19:01:00","22:57:00","11:42:00",亏凸月,"805",31,24,"307",大雨,"302",雷阵雨,0,北风,"1-3",3,0,北风,"1-3",3,7.6,3,82,1007,24,75,"2025-08-11 20:18:00" +320,广州,"2025-08-16","06:04:00","19:00:00","23:46:00","12:49:00",下弦月,"806",33,26,"302",雷阵雨,"302",雷阵雨,0,北风,"1-3",3,0,北风,"1-3",3,0.7,8,68,1006,24,62,"2025-08-11 20:18:00" +321,广州,"2025-08-17","06:05:00","18:59:00","00:00:00","13:58:00",残月,"807",34,26,"302",雷阵雨,"302",雷阵雨,0,北风,"1-3",3,0,北风,"1-3",3,0.0,11,67,1006,24,25,"2025-08-11 20:18:00" +322,广州,"2025-08-18","06:05:00","18:58:00","00:42:00","15:06:00",残月,"807",34,24,"305",小雨,"151",多云,0,北风,"1-3",3,45,东北风,"1-3",3,2.9,7,66,1002,24,70,"2025-08-11 20:18:00" +323,广州,"2025-08-19","06:05:00","18:58:00","01:43:00","16:08:00",残月,"807",28,24,"305",小雨,"305",小雨,90,东风,"1-3",3,90,东风,"1-3",3,8.3,4,85,1002,10,62,"2025-08-11 20:18:00" +324,广州,"2025-08-20","06:06:00","18:57:00","02:48:00","17:04:00",残月,"807",28,24,"305",小雨,"305",小雨,180,南风,"1-3",3,90,东风,"1-3",3,2.0,6,89,1002,13,55,"2025-08-11 20:18:00" +325,广州,"2025-08-21","06:06:00","18:56:00","03:53:00","17:52:00",残月,"807",26,24,"305",小雨,"305",小雨,180,南风,"1-3",3,135,东南风,"1-3",3,0.7,11,91,1003,13,56,"2025-08-11 20:18:00" +326,广州,"2025-08-22","06:07:00","18:55:00","04:56:00","18:33:00",残月,"807",27,23,"305",小雨,"305",小雨,180,南风,"1-3",3,180,南风,"1-3",3,2.9,10,91,1004,17,75,"2025-08-11 20:18:00" +327,广州,"2025-08-23","06:07:00","18:54:00","05:56:00","19:09:00",新月,"800",23,22,"305",小雨,"305",小雨,135,东南风,"1-3",3,45,东北风,"1-3",3,1.4,3,92,1005,24,62,"2025-08-11 20:18:00" +328,广州,"2025-08-24","06:07:00","18:53:00","06:52:00","19:41:00",蛾眉月,"801",24,22,"305",小雨,"305",小雨,45,东北风,"1-3",3,45,东北风,"1-3",3,0.0,11,91,1004,24,20,"2025-08-11 20:18:00" +329,广州,"2025-08-25","06:08:00","18:53:00","07:45:00","20:11:00",蛾眉月,"801",25,22,"305",小雨,"305",小雨,90,东风,"1-3",3,45,东北风,"1-3",3,0.0,11,77,1003,24,25,"2025-08-11 20:18:00" +330,广州,"2025-08-26","06:08:00","18:52:00","08:37:00","20:41:00",蛾眉月,"801",33,25,"101",多云,"153",晴间多云,52,东北风,"1-3",13,78,东北风,"1-3",6,5.3,4,71,1003,24,58,"2025-08-11 20:18:00" +331,深圳,"2025-07-28","05:54:00","19:08:00","08:57:00","21:37:00",蛾眉月,"801",32,26,"300",阵雨,"350",阵雨,0,北风,"1-3",3,0,北风,"1-3",3,14.2,5,84,987,24,90,"2025-07-28 14:52:00" +332,深圳,"2025-07-29","05:54:00","19:07:00","09:49:00","22:07:00",蛾眉月,"801",32,26,"306",中雨,"307",大雨,0,北风,"1-3",3,0,北风,"1-3",3,10.9,3,84,987,24,94,"2025-07-28 14:52:00" +333,深圳,"2025-07-30","05:55:00","19:07:00","10:40:00","22:37:00",蛾眉月,"801",32,26,"307",大雨,"350",阵雨,0,北风,"1-3",3,0,北风,"1-3",3,22.5,3,88,988,24,97,"2025-07-28 14:52:00" +334,深圳,"2025-07-31","05:55:00","19:06:00","11:30:00","23:08:00",蛾眉月,"801",30,26,"300",阵雨,"350",阵雨,0,北风,"1-3",3,0,北风,"1-3",3,3.8,6,87,990,24,70,"2025-07-28 14:52:00" +335,深圳,"2025-08-01","05:56:00","19:06:00","12:20:00","23:41:00",上弦月,"802",32,27,"300",阵雨,"151",多云,0,北风,"1-3",3,0,北风,"1-3",3,9.7,11,87,991,21,84,"2025-07-28 14:52:00" +336,深圳,"2025-08-02","05:56:00","19:05:00","13:12:00","00:00:00",盈凸月,"803",32,27,"300",阵雨,"350",阵雨,0,北风,"1-3",3,225,西南风,"1-3",16,21.2,5,84,993,24,74,"2025-07-28 14:52:00" +337,深圳,"2025-08-03","05:57:00","19:05:00","14:06:00","00:17:00",盈凸月,"803",30,26,"104",阴,"310",暴雨,0,北风,"1-3",3,0,北风,"1-3",3,26.1,4,83,995,23,70,"2025-07-28 14:52:00" +338,深圳,"2025-08-04","05:57:00","19:04:00","15:00:00","00:59:00",盈凸月,"803",30,27,"305",小雨,"305",小雨,180,南风,"1-3",3,225,西南风,"1-3",3,21.5,2,86,996,24,72,"2025-07-28 14:52:00" +339,深圳,"2025-08-05","05:57:00","19:03:00","15:55:00","01:45:00",盈凸月,"803",30,27,"305",小雨,"305",小雨,180,南风,"1-3",3,225,西南风,"1-3",3,15.2,3,87,995,25,72,"2025-07-28 14:52:00" +340,深圳,"2025-08-06","05:58:00","19:03:00","16:48:00","02:37:00",盈凸月,"803",30,28,"305",小雨,"305",小雨,180,南风,"1-3",3,180,南风,"1-3",3,2.2,7,87,995,22,55,"2025-07-28 14:52:00" +341,深圳,"2025-08-07","05:58:00","19:02:00","17:37:00","03:33:00",盈凸月,"803",31,28,"305",小雨,"305",小雨,180,南风,"1-3",16,180,南风,"1-3",3,0.4,5,87,996,24,43,"2025-07-28 14:52:00" +342,深圳,"2025-08-08","05:59:00","19:02:00","18:22:00","04:32:00",盈凸月,"803",31,28,"305",小雨,"305",小雨,180,南风,"1-3",3,225,西南风,"1-3",3,0.3,6,87,994,24,41,"2025-07-28 14:52:00" +343,深圳,"2025-08-09","05:59:00","19:01:00","19:03:00","05:32:00",满月,"804",30,27,"305",小雨,"305",小雨,225,西南风,"1-3",16,225,西南风,"1-3",3,0.0,3,88,992,22,25,"2025-07-28 14:52:00" +344,深圳,"2025-08-10","05:59:00","19:00:00","19:43:00","06:32:00",亏凸月,"805",30,27,"305",小雨,"305",小雨,225,西南风,"1-3",16,180,南风,"1-3",3,0.0,3,83,992,18,25,"2025-07-28 14:52:00" +345,深圳,"2025-08-11","06:00:00","19:00:00","20:19:00","07:31:00",亏凸月,"805",33,27,"300",阵雨,"350",阵雨,0,北风,"1-3",3,0,北风,"1-3",3,10.1,6,86,997,23,100,"2025-08-11 20:18:00" +346,深圳,"2025-08-12","06:00:00","18:59:00","20:55:00","08:31:00",亏凸月,"805",33,27,"300",阵雨,"150",晴,0,北风,"1-3",3,0,北风,"1-3",3,7.6,5,86,999,24,75,"2025-08-11 20:18:00" +347,深圳,"2025-08-13","06:01:00","18:58:00","21:32:00","09:31:00",亏凸月,"805",33,27,"300",阵雨,"350",阵雨,0,北风,"1-3",3,225,西南风,"1-3",16,6.0,7,83,995,22,69,"2025-08-11 20:18:00" +348,深圳,"2025-08-14","06:01:00","18:58:00","22:11:00","10:33:00",亏凸月,"805",30,26,"300",阵雨,"350",阵雨,225,西南风,"1-3",16,0,北风,"1-3",3,17.3,2,83,999,24,96,"2025-08-11 20:18:00" +349,深圳,"2025-08-15","06:01:00","18:57:00","22:55:00","11:37:00",亏凸月,"805",31,26,"300",阵雨,"350",阵雨,0,北风,"1-3",3,0,北风,"1-3",3,4.8,3,81,1000,24,74,"2025-08-11 20:18:00" +350,深圳,"2025-08-16","06:02:00","18:56:00","23:44:00","12:45:00",下弦月,"806",33,27,"300",阵雨,"350",阵雨,0,北风,"1-3",3,0,北风,"1-3",3,1.5,9,80,1000,25,68,"2025-08-11 20:18:00" +351,深圳,"2025-08-17","06:02:00","18:55:00","00:00:00","13:53:00",残月,"807",32,26,"300",阵雨,"350",阵雨,0,北风,"1-3",3,0,北风,"1-3",3,2.1,12,82,999,24,61,"2025-08-11 20:18:00" +352,深圳,"2025-08-18","06:03:00","18:55:00","00:40:00","15:01:00",残月,"807",31,25,"305",小雨,"305",小雨,0,北风,"1-3",3,90,东风,"1-3",3,6.7,4,80,995,20,62,"2025-08-11 20:18:00" +353,深圳,"2025-08-19","06:03:00","18:54:00","01:41:00","16:03:00",残月,"807",29,26,"305",小雨,"305",小雨,90,东风,"1-3",3,90,东风,"1-3",3,3.1,3,93,996,7,62,"2025-08-11 20:18:00" +354,深圳,"2025-08-20","06:03:00","18:53:00","02:46:00","16:59:00",残月,"807",28,25,"305",小雨,"305",小雨,90,东风,"1-3",3,90,东风,"1-3",3,1.3,10,92,996,9,59,"2025-08-11 20:18:00" +355,深圳,"2025-08-21","06:04:00","18:52:00","03:51:00","17:47:00",残月,"807",27,25,"305",小雨,"305",小雨,180,南风,"1-3",3,225,西南风,"1-3",3,0.5,12,92,997,18,55,"2025-08-11 20:18:00" +356,深圳,"2025-08-22","06:04:00","18:51:00","04:54:00","18:28:00",残月,"807",26,24,"305",小雨,"305",小雨,180,南风,"1-3",3,135,东南风,"1-3",3,0.4,10,90,998,20,55,"2025-08-11 20:18:00" +357,深圳,"2025-08-23","06:04:00","18:50:00","05:53:00","19:05:00",新月,"800",25,23,"305",小雨,"305",小雨,180,南风,"1-3",3,45,东北风,"1-3",3,1.0,11,94,997,13,41,"2025-08-11 20:18:00" +358,深圳,"2025-08-24","06:05:00","18:50:00","06:49:00","19:37:00",蛾眉月,"801",25,23,"305",小雨,"305",小雨,45,东北风,"1-3",16,90,东风,"3-4",24,0.7,11,88,996,24,41,"2025-08-11 20:18:00" +359,深圳,"2025-08-25","06:05:00","18:49:00","07:42:00","20:08:00",蛾眉月,"801",25,23,"305",小雨,"305",小雨,90,东风,"3-4",24,90,东风,"1-3",16,1.3,11,77,995,24,61,"2025-08-11 20:18:00" +360,深圳,"2025-08-26","06:05:00","18:48:00","08:33:00","20:38:00",蛾眉月,"801",33,27,"103",晴间多云,"151",多云,55,东北风,"1-3",7,98,东风,"1-3",15,2.5,5,81,996,22,57,"2025-08-11 20:18:00" +377,北京,"2025-08-27","05:38:00","18:56:00","09:30:00","20:38:00",蛾眉月,"801",28,21,"302",雷阵雨,"350",阵雨,235,西南风,"1-3",6,217,西南风,"1-3",7,6.3,2,67,1005,25,65,"2025-08-11 20:18:00" +378,北京,"2025-08-28","05:39:00","18:54:00","10:31:00","21:01:00",蛾眉月,"801",30,21,"101",多云,"151",多云,45,东北风,"1-3",7,342,西北风,"1-3",9,0.0,3,90,1003,19,25,"2025-08-11 20:18:00" +379,北京,"2025-08-29","05:40:00","18:53:00","11:33:00","21:26:00",蛾眉月,"801",26,18,"305",小雨,"305",小雨,353,北风,"1-3",15,165,东南风,"1-3",11,10.3,2,89,1001,19,64,"2025-08-11 20:18:00" +380,北京,"2025-08-30","05:41:00","18:51:00","12:35:00","21:58:00",蛾眉月,"801",26,17,"101",多云,"153",晴间多云,340,西北风,"1-3",4,276,西风,"1-3",6,0.0,2,89,1003,18,25,"2025-08-11 20:18:00" +381,北京,"2025-08-31","05:42:00","18:50:00","13:36:00","22:35:00",上弦月,"802",25,16,"100",晴,"150",晴,281,西风,"1-3",7,230,西南风,"1-3",7,0.0,7,89,1003,20,10,"2025-08-11 20:18:00" +382,北京,"2025-09-01","05:43:00","18:48:00","14:35:00","23:22:00",盈凸月,"803",26,16,"100",晴,"150",晴,323,西北风,"1-3",4,286,西北风,"1-3",6,0.0,7,89,1004,21,10,"2025-08-11 20:18:00" +383,北京,"2025-09-02","05:44:00","18:47:00","15:28:00","00:00:00",盈凸月,"803",28,17,"100",晴,"150",晴,338,西北风,"1-3",17,292,西北风,"1-3",7,0.0,7,91,1000,20,20,"2025-08-11 20:18:00" +384,北京,"2025-09-03","05:45:00","18:45:00","16:14:00","00:17:00",盈凸月,"803",27,16,"100",晴,"150",晴,27,东北风,"1-3",7,79,东风,"1-3",7,0.0,7,89,1001,20,5,"2025-08-11 20:18:00" +385,北京,"2025-09-04","05:46:00","18:43:00","16:53:00","01:20:00",盈凸月,"803",26,17,"101",多云,"151",多云,35,东北风,"1-3",7,93,东风,"1-3",7,0.0,7,88,1003,19,25,"2025-08-11 20:18:00" +386,北京,"2025-09-05","05:47:00","18:42:00","17:26:00","02:28:00",盈凸月,"803",26,18,"300",阵雨,"151",多云,100,东风,"1-3",15,117,东南风,"1-3",15,1.1,1,88,1001,21,58,"2025-08-11 20:18:00" +387,北京,"2025-09-06","05:48:00","18:40:00","17:55:00","03:38:00",盈凸月,"803",25,18,"101",多云,"350",阵雨,121,东南风,"1-3",15,159,东南风,"1-3",15,0.0,3,91,1001,21,25,"2025-08-11 20:18:00" +388,北京,"2025-09-07","05:48:00","18:39:00","18:21:00","04:50:00",盈凸月,"803",25,17,"302",雷阵雨,"350",阵雨,162,东南风,"1-3",15,95,东风,"1-3",15,3.0,2,89,1002,19,65,"2025-08-11 20:18:00" +389,北京,"2025-09-08","05:49:00","18:37:00","18:45:00","06:01:00",满月,"804",25,17,"102",少云,"150",晴,321,西北风,"1-3",4,127,东南风,"1-3",6,0.0,6,89,1003,22,20,"2025-08-11 20:18:00" +390,北京,"2025-09-09","05:50:00","18:35:00","19:09:00","07:12:00",亏凸月,"805",25,16,"103",晴间多云,"350",阵雨,43,东北风,"1-3",4,42,东北风,"1-3",4,0.0,3,90,1001,20,25,"2025-08-11 20:18:00" +467,上海,"2025-08-27","05:28:00","18:26:00","08:59:00","20:29:00",蛾眉月,"801",31,25,"103",晴间多云,"153",晴间多云,139,东南风,"3-4",26,129,东南风,"3-4",24,1.9,10,50,1008,25,55,"2025-08-11 20:18:00" +468,上海,"2025-08-28","05:28:00","18:24:00","09:55:00","20:57:00",蛾眉月,"801",31,25,"102",少云,"150",晴,136,东南风,"3-4",20,135,东南风,"3-4",20,0.0,9,79,1009,24,25,"2025-08-11 20:18:00" +469,上海,"2025-08-29","05:29:00","18:23:00","10:51:00","21:27:00",蛾眉月,"801",31,25,"102",少云,"151",多云,156,东南风,"1-3",17,153,东南风,"1-3",19,0.0,9,79,1006,24,20,"2025-08-11 20:18:00" +470,上海,"2025-08-30","05:30:00","18:22:00","11:48:00","22:03:00",蛾眉月,"801",31,25,"302",雷阵雨,"302",雷阵雨,160,东南风,"1-3",9,68,东北风,"1-3",7,5.7,2,81,1009,24,65,"2025-08-11 20:18:00" +471,上海,"2025-08-31","05:30:00","18:21:00","12:46:00","22:45:00",上弦月,"802",30,25,"302",雷阵雨,"151",多云,343,西北风,"1-3",6,348,西北风,"1-3",9,13.4,3,78,1006,25,70,"2025-08-11 20:18:00" +472,上海,"2025-09-01","05:31:00","18:20:00","13:42:00","23:33:00",盈凸月,"803",30,25,"302",雷阵雨,"302",雷阵雨,21,东北风,"1-3",13,47,东北风,"1-3",11,1.2,3,79,1008,24,61,"2025-08-11 20:18:00" +473,上海,"2025-09-02","05:31:00","18:18:00","14:35:00","00:00:00",盈凸月,"803",29,23,"302",雷阵雨,"302",雷阵雨,44,东北风,"3-4",26,41,东北风,"3-4",26,9.0,2,80,1009,24,65,"2025-08-11 20:18:00" +474,上海,"2025-09-03","05:32:00","18:17:00","15:24:00","00:28:00",盈凸月,"803",27,23,"302",雷阵雨,"151",多云,50,东北风,"1-3",19,35,东北风,"1-3",17,13.4,2,81,1008,25,70,"2025-08-11 20:18:00" +475,上海,"2025-09-04","05:33:00","18:16:00","16:07:00","01:27:00",盈凸月,"803",27,22,"300",阵雨,"150",晴,20,东北风,"4-5",32,35,东北风,"4-5",30,1.4,2,80,1006,25,59,"2025-08-11 20:18:00" +476,上海,"2025-09-05","05:33:00","18:15:00","16:46:00","02:31:00",盈凸月,"803",27,21,"101",多云,"151",多云,33,东北风,"3-4",28,12,东北风,"3-4",26,0.0,9,80,1010,25,20,"2025-08-11 20:18:00" +477,上海,"2025-09-06","05:34:00","18:13:00","17:20:00","03:35:00",盈凸月,"803",28,21,"101",多云,"153",晴间多云,17,东北风,"1-3",13,62,东北风,"1-3",13,0.0,2,81,1009,24,25,"2025-08-11 20:18:00" +478,上海,"2025-09-07","05:34:00","18:12:00","17:52:00","04:40:00",盈凸月,"803",28,21,"103",晴间多云,"151",多云,170,南风,"1-3",17,148,东南风,"1-3",19,0.0,5,80,1010,25,25,"2025-08-11 20:18:00" +479,上海,"2025-09-08","05:35:00","18:11:00","18:23:00","05:44:00",满月,"804",29,22,"103",晴间多云,"153",晴间多云,262,西风,"4-5",30,330,西北风,"4-5",30,3.1,3,80,1007,25,56,"2025-08-11 20:18:00" +480,上海,"2025-09-09","05:35:00","18:10:00","18:54:00","06:49:00",亏凸月,"805",28,22,"100",晴,"153",晴间多云,316,西北风,"1-3",19,357,北风,"1-3",17,0.0,8,78,1009,25,20,"2025-08-11 20:18:00" +497,广州,"2025-08-27","06:08:00","18:51:00","09:27:00","21:11:00",蛾眉月,"801",33,25,"302",雷阵雨,"302",雷阵雨,49,东北风,"1-3",6,95,东风,"1-3",6,8.4,2,55,1003,25,60,"2025-08-11 20:18:00" +498,广州,"2025-08-28","06:09:00","18:50:00","10:18:00","21:43:00",蛾眉月,"801",32,25,"103",晴间多云,"350",阵雨,42,东北风,"1-3",7,47,东北风,"1-3",7,0.0,11,77,1003,19,25,"2025-08-11 20:18:00" +499,广州,"2025-08-29","06:09:00","18:49:00","11:10:00","22:18:00",蛾眉月,"801",32,25,"103",晴间多云,"350",阵雨,54,东北风,"3-4",20,76,东北风,"1-3",19,0.0,10,78,1005,22,25,"2025-08-11 20:18:00" +500,广州,"2025-08-30","06:09:00","18:48:00","12:03:00","22:57:00",蛾眉月,"801",32,25,"302",雷阵雨,"350",阵雨,67,东北风,"3-4",20,84,东风,"3-4",20,1.2,7,79,1003,20,61,"2025-08-11 20:18:00" +501,广州,"2025-08-31","06:10:00","18:47:00","12:57:00","23:41:00",上弦月,"802",32,25,"302",雷阵雨,"350",阵雨,82,东风,"3-4",20,79,东风,"1-3",19,2.5,3,79,1005,21,65,"2025-08-11 20:18:00" +502,广州,"2025-09-01","06:10:00","18:46:00","13:52:00","00:00:00",盈凸月,"803",31,26,"101",多云,"302",雷阵雨,68,东北风,"1-3",15,84,东风,"1-3",11,1.3,3,79,1005,19,41,"2025-08-11 20:18:00" +503,广州,"2025-09-02","06:10:00","18:45:00","14:45:00","00:31:00",盈凸月,"803",31,25,"103",晴间多云,"151",多云,37,东北风,"1-3",6,104,东南风,"1-3",4,2.1,11,79,1005,18,55,"2025-08-11 20:18:00" +504,广州,"2025-09-03","06:11:00","18:44:00","15:36:00","01:25:00",盈凸月,"803",32,25,"103",晴间多云,"350",阵雨,30,东北风,"1-3",4,88,东风,"1-3",7,0.6,7,78,1004,19,40,"2025-08-11 20:18:00" +505,广州,"2025-09-04","06:11:00","18:43:00","16:22:00","02:23:00",盈凸月,"803",32,24,"302",雷阵雨,"302",雷阵雨,40,东北风,"1-3",7,55,东北风,"1-3",7,1.7,4,77,1002,21,64,"2025-08-11 20:18:00" +506,广州,"2025-09-05","06:11:00","18:42:00","17:03:00","03:22:00",盈凸月,"803",32,25,"302",雷阵雨,"151",多云,41,东北风,"1-3",7,90,东风,"1-3",11,1.5,5,77,1003,20,62,"2025-08-11 20:18:00" +507,广州,"2025-09-06","06:12:00","18:41:00","17:43:00","04:23:00",盈凸月,"803",31,25,"300",阵雨,"302",雷阵雨,75,东北风,"1-3",17,101,东风,"1-3",15,0.7,7,77,1002,22,56,"2025-08-11 20:18:00" +508,广州,"2025-09-07","06:12:00","18:40:00","18:20:00","05:22:00",盈凸月,"803",31,24,"103",晴间多云,"153",晴间多云,72,东北风,"1-3",7,92,东风,"1-3",7,0.9,5,76,1005,19,58,"2025-08-11 20:18:00" +509,广州,"2025-09-08","06:12:00","18:39:00","18:55:00","06:22:00",满月,"804",32,25,"100",晴,"153",晴间多云,14,东北风,"1-3",6,36,东北风,"1-3",11,0.9,10,76,1004,19,40,"2025-08-11 20:18:00" +510,广州,"2025-09-09","06:12:00","18:38:00","19:31:00","07:21:00",亏凸月,"805",32,25,"102",少云,"350",阵雨,29,东北风,"3-4",20,66,东北风,"1-3",19,0.6,10,80,1004,22,39,"2025-08-11 20:18:00" +527,深圳,"2025-08-27","06:06:00","18:47:00","09:23:00","21:08:00",蛾眉月,"801",33,27,"302",雷阵雨,"151",多云,60,东北风,"3-4",20,94,东风,"3-4",20,2.1,4,76,996,23,64,"2025-08-11 20:18:00" +528,深圳,"2025-08-28","06:06:00","18:46:00","10:14:00","21:40:00",蛾眉月,"801",32,27,"103",晴间多云,"302",雷阵雨,82,东风,"3-4",24,80,东风,"3-4",20,2.6,11,84,997,19,58,"2025-08-11 20:18:00" +529,深圳,"2025-08-29","06:06:00","18:45:00","11:05:00","22:15:00",蛾眉月,"801",32,27,"302",雷阵雨,"151",多云,79,东风,"4-5",32,86,东风,"4-5",30,5.5,4,84,995,18,65,"2025-08-11 20:18:00" +530,深圳,"2025-08-30","06:07:00","18:44:00","11:58:00","22:55:00",蛾眉月,"801",31,26,"302",雷阵雨,"302",雷阵雨,84,东风,"4-5",32,93,东风,"4-5",30,8.2,3,86,997,18,62,"2025-08-11 20:18:00" +531,深圳,"2025-08-31","06:07:00","18:43:00","12:53:00","23:39:00",上弦月,"802",31,27,"302",雷阵雨,"302",雷阵雨,102,东南风,"3-4",28,98,东风,"3-4",28,8.2,2,85,995,21,60,"2025-08-11 20:18:00" +532,深圳,"2025-09-01","06:07:00","18:42:00","13:47:00","00:00:00",盈凸月,"803",31,27,"302",雷阵雨,"302",雷阵雨,94,东风,"3-4",20,89,东风,"1-3",19,4.9,4,86,998,21,65,"2025-08-11 20:18:00" +533,深圳,"2025-09-02","06:07:00","18:41:00","14:41:00","00:29:00",盈凸月,"803",32,27,"300",阵雨,"151",多云,84,东风,"3-4",20,99,东风,"1-3",13,7.5,11,85,997,22,58,"2025-08-11 20:18:00" +534,深圳,"2025-09-03","06:08:00","18:41:00","15:31:00","01:23:00",盈凸月,"803",32,27,"302",雷阵雨,"350",阵雨,54,东北风,"1-3",7,44,东北风,"1-3",4,1.5,4,85,995,19,63,"2025-08-11 20:18:00" +535,深圳,"2025-09-04","06:08:00","18:40:00","16:17:00","02:21:00",盈凸月,"803",32,26,"302",雷阵雨,"302",雷阵雨,63,东北风,"1-3",15,70,东北风,"1-3",11,3.1,3,86,995,19,65,"2025-08-11 20:18:00" +536,深圳,"2025-09-05","06:08:00","18:39:00","16:59:00","03:20:00",盈凸月,"803",32,26,"302",雷阵雨,"302",雷阵雨,61,东北风,"3-4",20,77,东北风,"3-4",20,2.9,4,85,997,18,65,"2025-08-11 20:18:00" +537,深圳,"2025-09-06","06:09:00","18:38:00","17:39:00","04:20:00",盈凸月,"803",31,26,"101",多云,"302",雷阵雨,82,东风,"3-4",28,98,东风,"3-4",26,1.9,3,85,994,20,41,"2025-08-11 20:18:00" +538,深圳,"2025-09-07","06:09:00","18:37:00","18:16:00","05:19:00",盈凸月,"803",31,26,"302",雷阵雨,"153",晴间多云,90,东风,"3-4",22,99,东风,"3-4",20,2.3,3,83,998,21,65,"2025-08-11 20:18:00" +539,深圳,"2025-09-08","06:09:00","18:36:00","18:52:00","06:18:00",满月,"804",32,26,"102",少云,"302",雷阵雨,77,东北风,"1-3",17,72,东北风,"1-3",13,1.4,11,86,996,21,55,"2025-08-11 20:18:00" +540,深圳,"2025-09-09","06:09:00","18:35:00","19:28:00","07:18:00",亏凸月,"805",32,27,"302",雷阵雨,"302",雷阵雨,68,东北风,"3-4",24,81,东风,"3-4",22,2.0,3,85,998,21,64,"2025-08-11 20:18:00" +541,北京,"2026-01-23","07:31:00","17:22:00","09:42:00","22:10:00",蛾眉月,"801",3,-11,"100",晴,"150",晴,45,东北风,"1-3",3,0,北风,"1-3",3,0.0,3,31,1021,25,0,"2026-01-23 17:50:00" +542,北京,"2026-01-24","07:30:00","17:24:00","10:05:00","23:21:00",蛾眉月,"801",3,-8,"100",晴,"151",多云,45,东北风,"1-3",3,0,北风,"1-3",3,0.0,3,44,1027,25,0,"2026-01-23 17:50:00" +543,北京,"2026-01-25","07:30:00","17:25:00","10:32:00","00:00:00",蛾眉月,"801",-2,-6,"400",小雪,"400",小雪,135,东南风,"1-3",3,180,南风,"1-3",3,0.0,1,71,1023,24,0,"2026-01-23 17:50:00" +544,北京,"2026-01-26","07:29:00","17:26:00","11:00:00","00:36:00",上弦月,"802",2,-7,"101",多云,"151",多云,315,西北风,"1-3",3,0,北风,"1-3",3,0.0,3,26,1025,25,0,"2026-01-23 17:50:00" +545,北京,"2026-01-27","07:28:00","17:27:00","11:37:00","01:54:00",盈凸月,"803",1,-9,"101",多云,"151",多云,45,东北风,"1-3",3,45,东北风,"1-3",3,0.0,2,26,1024,25,1,"2026-01-23 17:50:00" +546,北京,"2026-01-28","07:27:00","17:28:00","12:21:00","03:12:00",盈凸月,"803",1,-9,"101",多云,"151",多云,90,东风,"1-3",3,0,北风,"1-3",3,0.0,3,29,1027,25,0,"2026-01-23 17:50:00" +547,北京,"2026-01-29","07:27:00","17:30:00","13:15:00","04:27:00",盈凸月,"803",1,-8,"101",多云,"151",多云,225,西南风,"1-3",3,180,南风,"1-3",3,0.0,3,84,1028,5,0,"2026-01-23 17:50:00" +548,北京,"2026-01-30","07:26:00","17:31:00","14:21:00","05:34:00",盈凸月,"803",0,-6,"404",雨夹雪,"400",小雪,180,南风,"1-3",3,180,南风,"1-3",3,0.2,1,60,1026,24,0,"2026-01-23 17:50:00" +549,北京,"2026-01-31","07:25:00","17:32:00","15:34:00","06:29:00",盈凸月,"803",3,-6,"104",阴,"151",多云,315,西北风,"1-3",3,45,东北风,"1-3",3,0.0,3,48,1020,25,1,"2026-01-23 17:50:00" +550,北京,"2026-02-01","07:24:00","17:33:00","16:49:00","07:14:00",盈凸月,"803",4,-6,"101",多云,"150",晴,0,北风,"1-3",3,0,北风,"1-3",3,0.0,3,44,1021,25,0,"2026-01-23 17:50:00" +551,北京,"2026-02-02","07:23:00","17:34:00","18:03:00","07:49:00",满月,"804",5,-6,"104",阴,"104",阴,45,东北风,"1-3",3,90,东风,"1-3",3,0.0,3,41,1026,25,0,"2026-01-23 17:50:00" +552,北京,"2026-02-03","07:22:00","17:36:00","19:14:00","08:17:00",亏凸月,"805",3,-10,"101",多云,"151",多云,0,北风,"1-3",3,45,东北风,"1-3",3,0.0,3,50,1028,25,0,"2026-01-23 17:50:00" +553,北京,"2026-02-04","07:21:00","17:37:00","20:21:00","08:41:00",亏凸月,"805",-1,-10,"101",多云,"151",多云,315,西北风,"1-3",16,315,西北风,"1-3",16,0.0,3,48,1020,25,0,"2026-01-23 17:50:00" +554,北京,"2026-02-05","07:20:00","17:38:00","21:26:00","09:03:00",亏凸月,"805",0,-9,"100",晴,"150",晴,315,西北风,"1-3",3,135,东南风,"1-3",3,0.0,3,52,1019,25,4,"2026-01-23 17:50:00" +555,北京,"2026-02-06","07:19:00","17:39:00","22:29:00","09:23:00",亏凸月,"805",1,-9,"100",晴,"150",晴,45,东北风,"1-3",3,0,北风,"1-3",3,0.0,3,57,1021,25,4,"2026-01-23 17:50:00" +556,北京,"2026-02-07","07:18:00","17:40:00","23:32:00","09:45:00",亏凸月,"805",7,-5,"102",少云,"153",晴间多云,109,东南风,"1-3",13,336,西北风,"4-5",32,0.0,3,61,1017,25,19,"2026-01-23 17:50:00" +557,北京,"2026-02-08","07:17:00","17:42:00","00:00:00","10:07:00",亏凸月,"805",1,-8,"100",晴,"150",晴,339,西北风,"4-5",37,339,西北风,"4-5",33,0.0,3,67,1019,25,0,"2026-01-23 17:50:00" +558,北京,"2026-02-09","07:16:00","17:43:00","00:35:00","10:33:00",下弦月,"806",1,-8,"100",晴,"150",晴,323,西北风,"3-4",24,250,西南风,"3-4",22,0.0,3,48,1024,25,0,"2026-01-23 17:50:00" +559,北京,"2026-02-10","07:15:00","17:44:00","01:37:00","11:04:00",残月,"807",1,-7,"100",晴,"150",晴,288,西北风,"1-3",7,261,西风,"1-3",6,0.0,3,49,1023,22,1,"2026-01-23 17:50:00" +560,北京,"2026-02-11","07:14:00","17:45:00","02:38:00","11:41:00",残月,"807",7,-5,"101",多云,"153",晴间多云,311,西北风,"1-3",7,343,西北风,"1-3",6,0.0,3,48,1022,23,25,"2026-01-23 17:50:00" +561,北京,"2026-02-12","07:13:00","17:46:00","03:36:00","12:25:00",残月,"807",8,-4,"100",晴,"153",晴间多云,300,西北风,"1-3",17,103,东南风,"1-3",15,0.0,3,51,1021,23,20,"2026-01-23 17:50:00" +562,北京,"2026-02-13","07:11:00","17:48:00","04:29:00","13:18:00",残月,"807",8,-2,"103",晴间多云,"151",多云,43,东北风,"1-3",6,275,西风,"1-3",7,0.0,2,50,1022,23,25,"2026-01-23 17:50:00" +563,北京,"2026-02-14","07:10:00","17:49:00","05:14:00","14:18:00",残月,"807",8,-2,"101",多云,"153",晴间多云,20,东北风,"1-3",17,177,南风,"1-3",4,0.0,1,47,1024,23,25,"2026-01-23 17:50:00" +564,北京,"2026-02-15","07:09:00","17:50:00","05:53:00","15:22:00",残月,"807",8,-2,"100",晴,"151",多云,51,东北风,"3-4",22,131,东南风,"3-4",22,0.0,3,50,1021,22,20,"2026-01-23 17:50:00" +565,北京,"2026-02-16","07:08:00","17:51:00","06:26:00","16:29:00",残月,"807",6,-3,"103",晴间多云,"150",晴,63,东北风,"1-3",6,359,北风,"1-3",4,0.0,2,48,1024,25,20,"2026-01-23 17:50:00" +566,北京,"2026-02-17","07:06:00","17:52:00","06:54:00","17:37:00",新月,"800",7,-2,"100",晴,"150",晴,305,西北风,"1-3",17,290,西北风,"1-3",17,0.0,3,47,1022,25,20,"2026-01-23 17:50:00" +567,北京,"2026-02-18","07:05:00","17:54:00","07:20:00","18:45:00",蛾眉月,"801",9,-2,"100",晴,"150",晴,347,西北风,"1-3",15,163,东南风,"1-3",7,0.0,4,50,1022,21,20,"2026-01-23 17:50:00" +568,北京,"2026-02-19","07:04:00","17:55:00","07:44:00","19:54:00",蛾眉月,"801",8,-3,"100",晴,"151",多云,91,东风,"1-3",19,127,东南风,"1-3",19,0.0,4,50,1024,25,20,"2026-01-23 17:50:00" +569,北京,"2026-02-20","07:02:00","17:56:00","08:07:00","21:05:00",蛾眉月,"801",6,-1,"101",多云,"153",晴间多云,91,东风,"1-3",6,85,东风,"1-3",7,0.0,1,48,1021,25,25,"2026-01-23 17:50:00" +570,北京,"2026-02-21","07:01:00","17:57:00","08:32:00","22:17:00",蛾眉月,"801",6,-2,"100",晴,"150",晴,302,西北风,"1-3",6,287,西北风,"1-3",6,0.0,4,51,1021,24,5,"2026-01-23 17:50:00" +571,上海,"2026-01-23","06:52:00","17:21:00","09:20:00","21:47:00",蛾眉月,"801",8,1,"100",晴,"151",多云,225,西南风,"1-3",3,0,北风,"1-3",3,0.0,4,53,1028,25,0,"2026-01-23 17:50:00" +572,上海,"2026-01-24","06:52:00","17:22:00","09:50:00","22:52:00",蛾眉月,"801",11,1,"100",晴,"150",晴,45,东北风,"1-3",3,90,东风,"1-3",3,0.0,4,75,1026,25,0,"2026-01-23 17:50:00" +573,上海,"2026-01-25","06:51:00","17:23:00","10:22:00","00:00:00",蛾眉月,"801",12,6,"104",阴,"305",小雨,90,东风,"1-3",3,90,东风,"1-3",3,0.0,3,88,1022,25,25,"2026-01-23 17:50:00" +574,上海,"2026-01-26","06:51:00","17:24:00","10:58:00","00:00:00",上弦月,"802",13,5,"305",小雨,"104",阴,270,西风,"1-3",3,0,北风,"1-3",3,3.8,1,77,1027,24,81,"2026-01-23 17:50:00" +575,上海,"2026-01-27","06:50:00","17:25:00","11:40:00","01:10:00",盈凸月,"803",8,3,"104",阴,"151",多云,0,北风,"1-3",3,0,北风,"1-3",3,0.0,1,66,1029,25,1,"2026-01-23 17:50:00" +576,上海,"2026-01-28","06:50:00","17:25:00","12:29:00","02:22:00",盈凸月,"803",8,3,"100",晴,"150",晴,45,东北风,"1-3",3,45,东北风,"1-3",3,0.0,4,64,1029,25,0,"2026-01-23 17:50:00" +577,上海,"2026-01-29","06:49:00","17:26:00","13:26:00","03:34:00",盈凸月,"803",9,4,"101",多云,"104",阴,90,东风,"1-3",3,45,东北风,"1-3",3,0.0,4,79,1027,13,4,"2026-01-23 17:50:00" +578,上海,"2026-01-30","06:49:00","17:27:00","14:32:00","04:41:00",盈凸月,"803",8,4,"305",小雨,"305",小雨,45,东北风,"1-3",16,45,东北风,"1-3",3,0.0,1,88,1025,23,25,"2026-01-23 17:50:00" +579,上海,"2026-01-31","06:48:00","17:28:00","15:42:00","05:39:00",盈凸月,"803",7,4,"104",阴,"104",阴,45,东北风,"1-3",3,270,西风,"1-3",3,1.3,1,74,1029,24,39,"2026-01-23 17:50:00" +580,上海,"2026-02-01","06:48:00","17:29:00","16:51:00","06:28:00",盈凸月,"803",9,4,"104",阴,"305",小雨,90,东风,"1-3",3,90,东风,"1-3",3,0.0,4,60,1027,25,0,"2026-01-23 17:50:00" +581,上海,"2026-02-02","06:47:00","17:30:00","17:58:00","07:09:00",满月,"804",9,8,"305",小雨,"305",小雨,90,东风,"1-3",3,315,西北风,"1-3",3,0.0,4,72,1030,25,1,"2026-01-23 17:50:00" +582,上海,"2026-02-03","06:46:00","17:31:00","19:03:00","07:43:00",亏凸月,"805",10,6,"305",小雨,"305",小雨,45,东北风,"1-3",3,45,东北风,"1-3",3,7.9,1,59,1034,25,75,"2026-01-23 17:50:00" +583,上海,"2026-02-04","06:46:00","17:32:00","20:04:00","08:13:00",亏凸月,"805",9,3,"104",阴,"104",阴,45,东北风,"1-3",16,45,东北风,"1-3",3,8.9,1,67,1028,25,75,"2026-01-23 17:50:00" +584,上海,"2026-02-05","06:45:00","17:33:00","21:02:00","08:41:00",亏凸月,"805",7,3,"104",阴,"104",阴,45,东北风,"1-3",16,45,东北风,"1-3",3,0.0,3,80,1025,25,25,"2026-01-23 17:50:00" +585,上海,"2026-02-06","06:44:00","17:34:00","21:59:00","09:07:00",亏凸月,"805",8,5,"104",阴,"104",阴,45,东北风,"1-3",3,90,东风,"1-3",3,0.0,4,80,1022,25,10,"2026-01-23 17:50:00" +586,上海,"2026-02-07","06:44:00","17:35:00","22:56:00","09:34:00",亏凸月,"805",12,3,"100",晴,"150",晴,267,西风,"1-3",17,190,南风,"1-3",7,0.0,4,94,1020,22,20,"2026-01-23 17:50:00" +587,上海,"2026-02-08","06:43:00","17:35:00","23:54:00","10:03:00",亏凸月,"805",12,0,"101",多云,"151",多云,289,西北风,"4-5",35,345,西北风,"4-5",35,0.0,3,93,1022,25,25,"2026-01-23 17:50:00" +588,上海,"2026-02-09","06:42:00","17:36:00","00:00:00","10:34:00",下弦月,"806",10,0,"100",晴,"150",晴,318,西北风,"5-6",48,322,西北风,"5-6",46,0.0,4,76,1027,21,10,"2026-01-23 17:50:00" +589,上海,"2026-02-10","06:41:00","17:37:00","00:51:00","11:09:00",残月,"807",6,-1,"100",晴,"150",晴,311,西北风,"3-4",22,287,西北风,"1-3",19,0.0,4,74,1026,24,10,"2026-01-23 17:50:00" +590,上海,"2026-02-11","06:40:00","17:38:00","01:48:00","11:50:00",残月,"807",6,0,"100",晴,"150",晴,218,西南风,"1-3",17,168,东南风,"1-3",15,0.0,4,76,1026,23,5,"2026-01-23 17:50:00" +591,上海,"2026-02-12","06:40:00","17:39:00","02:44:00","12:36:00",残月,"807",10,0,"103",晴间多云,"150",晴,215,西南风,"1-3",13,151,东南风,"1-3",6,0.0,2,75,1027,24,25,"2026-01-23 17:50:00" +592,上海,"2026-02-13","06:39:00","17:40:00","03:36:00","13:28:00",残月,"807",12,3,"101",多云,"153",晴间多云,149,东南风,"1-3",19,179,南风,"1-3",15,0.0,1,73,1025,25,25,"2026-01-23 17:50:00" +593,上海,"2026-02-14","06:38:00","17:41:00","04:24:00","14:25:00",残月,"807",12,4,"102",少云,"151",多云,173,南风,"1-3",17,124,东南风,"1-3",11,0.0,4,72,1026,23,20,"2026-01-23 17:50:00" +594,上海,"2026-02-15","06:37:00","17:41:00","05:06:00","15:25:00",残月,"807",13,5,"101",多云,"151",多云,55,东北风,"5-6",43,42,东北风,"4-5",37,0.0,1,74,1025,22,25,"2026-01-23 17:50:00" +595,上海,"2026-02-16","06:36:00","17:42:00","05:45:00","16:27:00",残月,"807",12,4,"103",晴间多云,"150",晴,39,东北风,"3-4",22,48,东北风,"3-4",20,0.0,4,73,1027,25,25,"2026-01-23 17:50:00" +596,上海,"2026-02-17","06:35:00","17:43:00","06:18:00","17:28:00",新月,"800",11,3,"100",晴,"151",多云,51,东北风,"1-3",19,81,东风,"1-3",17,0.0,5,74,1024,23,10,"2026-01-23 17:50:00" +597,上海,"2026-02-18","06:34:00","17:44:00","06:50:00","18:31:00",蛾眉月,"801",12,4,"103",晴间多云,"153",晴间多云,64,东北风,"1-3",15,22,东北风,"1-3",19,0.0,5,75,1024,22,25,"2026-01-23 17:50:00" +598,上海,"2026-02-19","06:33:00","17:45:00","07:19:00","19:33:00",蛾眉月,"801",12,2,"100",晴,"150",晴,24,东北风,"3-4",28,39,东北风,"3-4",22,0.0,5,73,1024,21,10,"2026-01-23 17:50:00" +599,上海,"2026-02-20","06:32:00","17:46:00","07:49:00","20:37:00",蛾眉月,"801",10,3,"101",多云,"305",小雨,66,东北风,"3-4",20,73,东北风,"3-4",20,0.0,1,74,1027,25,25,"2026-01-23 17:50:00" +600,上海,"2026-02-21","06:31:00","17:46:00","08:21:00","21:43:00",蛾眉月,"801",8,6,"300",阵雨,"350",阵雨,56,东北风,"3-4",28,34,东北风,"3-4",24,1.1,1,75,1027,23,57,"2026-01-23 17:50:00" +601,广州,"2026-01-23","07:10:00","18:08:00","09:52:00","22:19:00",蛾眉月,"801",14,7,"101",多云,"151",多云,0,北风,"1-3",3,0,北风,"1-3",3,0.0,5,46,1021,25,3,"2026-01-23 17:50:00" +602,广州,"2026-01-24","07:10:00","18:09:00","10:28:00","23:19:00",蛾眉月,"801",20,8,"101",多云,"104",阴,0,北风,"1-3",3,0,北风,"1-3",3,0.0,2,78,1019,25,3,"2026-01-23 17:50:00" +603,广州,"2026-01-25","07:10:00","18:10:00","11:04:00","00:00:00",蛾眉月,"801",22,10,"104",阴,"305",小雨,0,北风,"1-3",3,0,北风,"1-3",3,0.0,5,79,1018,17,1,"2026-01-23 17:50:00" +604,广州,"2026-01-26","07:10:00","18:10:00","11:46:00","00:22:00",上弦月,"802",21,14,"305",小雨,"305",小雨,0,北风,"1-3",3,0,北风,"1-3",3,3.8,1,74,1018,24,70,"2026-01-23 17:50:00" +605,广州,"2026-01-27","07:09:00","18:11:00","12:32:00","01:27:00",盈凸月,"803",19,13,"305",小雨,"151",多云,0,北风,"1-3",3,0,北风,"1-3",3,2.4,2,79,1018,23,71,"2026-01-23 17:50:00" +606,广州,"2026-01-28","07:09:00","18:12:00","13:25:00","02:36:00",盈凸月,"803",21,13,"101",多云,"151",多云,0,北风,"1-3",3,0,北风,"1-3",3,0.0,5,71,1018,24,1,"2026-01-23 17:50:00" +607,广州,"2026-01-29","07:09:00","18:12:00","14:25:00","03:45:00",盈凸月,"803",20,15,"100",晴,"305",小雨,0,北风,"1-3",3,0,北风,"1-3",3,0.0,5,67,1018,25,3,"2026-01-23 17:50:00" +608,广州,"2026-01-30","07:08:00","18:13:00","15:30:00","04:51:00",盈凸月,"803",21,13,"104",阴,"104",阴,135,东南风,"1-3",3,90,东风,"1-3",3,0.9,2,66,1018,25,56,"2026-01-23 17:50:00" +609,广州,"2026-01-31","07:08:00","18:14:00","16:37:00","05:51:00",盈凸月,"803",21,11,"104",阴,"151",多云,0,北风,"1-3",3,0,北风,"1-3",3,2.5,1,58,1020,25,64,"2026-01-23 17:50:00" +610,广州,"2026-02-01","07:08:00","18:15:00","17:44:00","06:43:00",盈凸月,"803",21,12,"104",阴,"104",阴,180,南风,"1-3",3,135,东南风,"1-3",3,0.0,1,54,1020,25,6,"2026-01-23 17:50:00" +611,广州,"2026-02-02","07:07:00","18:15:00","18:47:00","07:27:00",满月,"804",21,15,"104",阴,"104",阴,180,南风,"1-3",3,135,东南风,"1-3",3,1.5,1,57,1020,25,60,"2026-01-23 17:50:00" +612,广州,"2026-02-03","07:07:00","18:16:00","19:46:00","08:07:00",亏凸月,"805",26,16,"101",多云,"305",小雨,180,南风,"1-3",3,135,东南风,"1-3",3,0.5,2,64,1022,25,55,"2026-01-23 17:50:00" +613,广州,"2026-02-04","07:07:00","18:17:00","20:42:00","08:42:00",亏凸月,"805",22,13,"305",小雨,"305",小雨,0,北风,"1-3",3,0,北风,"1-3",3,0.0,5,64,1021,25,1,"2026-01-23 17:50:00" +614,广州,"2026-02-05","07:06:00","18:17:00","21:35:00","09:13:00",亏凸月,"805",18,11,"305",小雨,"305",小雨,45,东北风,"1-3",3,90,东风,"1-3",3,0.0,5,66,1019,25,20,"2026-01-23 17:50:00" +615,广州,"2026-02-06","07:06:00","18:18:00","22:28:00","09:45:00",亏凸月,"805",16,9,"305",小雨,"305",小雨,0,北风,"1-3",3,0,北风,"1-3",3,0.0,2,67,1017,25,25,"2026-01-23 17:50:00" +616,广州,"2026-02-07","07:05:00","18:18:00","23:20:00","10:16:00",亏凸月,"805",22,14,"100",晴,"150",晴,6,北风,"3-4",20,28,东北风,"1-3",15,0.0,5,74,1012,24,20,"2026-01-23 17:50:00" +617,广州,"2026-02-08","07:05:00","18:19:00","00:00:00","10:49:00",亏凸月,"805",22,13,"100",晴,"150",晴,45,东北风,"1-3",6,12,东北风,"1-3",7,0.0,5,82,1012,9,20,"2026-01-23 17:50:00" +618,广州,"2026-02-09","07:04:00","18:20:00","00:13:00","11:23:00",下弦月,"806",21,9,"100",晴,"151",多云,25,东北风,"5-6",41,17,东北风,"5-6",39,0.0,5,69,1016,23,10,"2026-01-23 17:50:00" +619,广州,"2026-02-10","07:04:00","18:20:00","01:06:00","12:03:00",残月,"807",20,9,"103",晴间多云,"150",晴,13,东北风,"4-5",32,16,东北风,"3-4",26,0.0,6,68,1018,21,25,"2026-01-23 17:50:00" +620,广州,"2026-02-11","07:03:00","18:21:00","02:00:00","12:46:00",残月,"807",17,9,"100",晴,"150",晴,40,东北风,"1-3",15,130,东南风,"1-3",4,0.0,6,66,1019,21,20,"2026-01-23 17:50:00" +621,广州,"2026-02-12","07:02:00","18:22:00","02:54:00","13:33:00",残月,"807",19,11,"101",多云,"151",多云,44,东北风,"1-3",4,2,北风,"1-3",6,0.0,2,66,1017,21,25,"2026-01-23 17:50:00" +622,广州,"2026-02-13","07:02:00","18:22:00","03:47:00","14:25:00",残月,"807",21,14,"103",晴间多云,"150",晴,338,西北风,"1-3",4,50,东北风,"1-3",6,0.0,2,66,1019,23,25,"2026-01-23 17:50:00" +623,广州,"2026-02-14","07:01:00","18:23:00","04:36:00","15:21:00",残月,"807",22,13,"101",多云,"153",晴间多云,129,东南风,"1-3",17,153,东南风,"1-3",17,0.0,6,67,1016,24,25,"2026-01-23 17:50:00" +624,广州,"2026-02-15","07:01:00","18:23:00","05:20:00","16:18:00",残月,"807",22,15,"103",晴间多云,"350",阵雨,124,东南风,"1-3",7,265,西风,"1-3",7,0.0,3,65,1017,24,25,"2026-01-23 17:50:00" +625,广州,"2026-02-16","07:00:00","18:24:00","06:01:00","17:15:00",残月,"807",22,15,"101",多云,"151",多云,2,北风,"3-4",20,25,东北风,"1-3",17,0.0,2,66,1017,24,25,"2026-01-23 17:50:00" +626,广州,"2026-02-17","06:59:00","18:25:00","06:40:00","18:13:00",新月,"800",22,14,"102",少云,"150",晴,53,东北风,"1-3",7,125,东南风,"1-3",6,0.0,6,66,1017,22,20,"2026-01-23 17:50:00" +627,广州,"2026-02-18","06:59:00","18:25:00","07:15:00","19:10:00",蛾眉月,"801",22,14,"100",晴,"151",多云,73,东北风,"1-3",6,132,东南风,"1-3",6,0.0,6,68,1018,21,5,"2026-01-23 17:50:00" +628,广州,"2026-02-19","06:58:00","18:26:00","07:50:00","20:08:00",蛾眉月,"801",23,15,"101",多云,"153",晴间多云,105,东南风,"1-3",6,145,东南风,"1-3",15,0.0,2,67,1017,24,25,"2026-01-23 17:50:00" +629,广州,"2026-02-20","06:57:00","18:26:00","08:25:00","21:07:00",蛾眉月,"801",23,15,"103",晴间多云,"150",晴,122,东南风,"1-3",7,154,东南风,"1-3",19,0.0,2,66,1017,24,25,"2026-01-23 17:50:00" +630,广州,"2026-02-21","06:56:00","18:27:00","09:00:00","22:08:00",蛾眉月,"801",22,15,"100",晴,"150",晴,110,东南风,"1-3",6,157,东南风,"1-3",17,0.0,6,65,1017,24,20,"2026-01-23 17:50:00" +631,深圳,"2026-01-23","07:06:00","18:06:00","09:49:00","22:16:00",蛾眉月,"801",16,10,"101",多云,"151",多云,0,北风,"1-3",3,0,北风,"1-3",3,0.0,4,61,1013,25,3,"2026-01-23 17:50:00" +632,深圳,"2026-01-24","07:06:00","18:07:00","10:25:00","23:15:00",蛾眉月,"801",21,12,"101",多云,"151",多云,0,北风,"1-3",3,0,北风,"1-3",3,0.0,5,81,1011,25,2,"2026-01-23 17:50:00" +633,深圳,"2026-01-25","07:06:00","18:07:00","11:02:00","00:00:00",蛾眉月,"801",23,13,"101",多云,"104",阴,0,北风,"1-3",3,0,北风,"1-3",3,0.0,5,84,1010,24,25,"2026-01-23 17:50:00" +634,深圳,"2026-01-26","07:05:00","18:08:00","11:44:00","00:17:00",上弦月,"802",22,17,"101",多云,"151",多云,0,北风,"1-3",3,0,北风,"1-3",3,0.5,1,77,1010,24,55,"2026-01-23 17:50:00" +635,深圳,"2026-01-27","07:05:00","18:09:00","12:30:00","01:23:00",盈凸月,"803",23,15,"101",多云,"151",多云,0,北风,"1-3",3,0,北风,"1-3",3,3.5,5,83,1011,24,85,"2026-01-23 17:50:00" +636,深圳,"2026-01-28","07:05:00","18:09:00","13:23:00","02:31:00",盈凸月,"803",23,14,"101",多云,"151",多云,0,北风,"1-3",3,90,东风,"1-3",16,0.0,5,76,1011,25,2,"2026-01-23 17:50:00" +637,深圳,"2026-01-29","07:05:00","18:10:00","14:23:00","03:40:00",盈凸月,"803",20,16,"100",晴,"305",小雨,0,北风,"1-3",3,90,东风,"1-3",16,0.0,5,78,1011,25,4,"2026-01-23 17:50:00" +638,深圳,"2026-01-30","07:04:00","18:11:00","15:28:00","04:46:00",盈凸月,"803",21,16,"104",阴,"305",小雨,90,东风,"1-3",3,45,东北风,"1-3",3,0.0,5,82,1011,25,25,"2026-01-23 17:50:00" +639,深圳,"2026-01-31","07:04:00","18:11:00","16:35:00","05:46:00",盈凸月,"803",21,15,"104",阴,"151",多云,90,东风,"1-3",3,90,东风,"1-3",3,7.7,1,56,1011,25,61,"2026-01-23 17:50:00" +640,深圳,"2026-02-01","07:04:00","18:12:00","17:41:00","06:38:00",盈凸月,"803",20,15,"101",多云,"305",小雨,135,东南风,"1-3",3,90,东风,"1-3",3,1.7,1,73,1013,25,55,"2026-01-23 17:50:00" +641,深圳,"2026-02-02","07:03:00","18:13:00","18:44:00","07:23:00",满月,"804",22,18,"104",阴,"104",阴,90,东风,"1-3",3,90,东风,"1-3",3,0.3,2,81,1013,25,55,"2026-01-23 17:50:00" +642,深圳,"2026-02-03","07:03:00","18:13:00","19:43:00","08:03:00",亏凸月,"805",25,14,"101",多云,"305",小雨,180,南风,"1-3",3,90,东风,"1-3",3,0.0,3,74,1015,25,1,"2026-01-23 17:50:00" +643,深圳,"2026-02-04","07:03:00","18:14:00","20:39:00","08:38:00",亏凸月,"805",23,16,"104",阴,"305",小雨,135,东南风,"1-3",3,90,东风,"1-3",3,0.0,4,73,1014,25,1,"2026-01-23 17:50:00" +644,深圳,"2026-02-05","07:02:00","18:15:00","21:32:00","09:10:00",亏凸月,"805",19,15,"104",阴,"104",阴,90,东风,"1-3",3,90,东风,"1-3",16,0.0,5,74,1012,25,20,"2026-01-23 17:50:00" +645,深圳,"2026-02-06","07:02:00","18:15:00","22:24:00","09:42:00",亏凸月,"805",18,13,"305",小雨,"305",小雨,90,东风,"1-3",3,45,东北风,"1-3",3,0.0,5,79,1010,25,25,"2026-01-23 17:50:00" +646,深圳,"2026-02-07","07:01:00","18:16:00","23:16:00","10:13:00",亏凸月,"805",22,16,"103",晴间多云,"150",晴,15,东北风,"3-4",22,104,东南风,"1-3",11,0.0,5,85,1005,21,25,"2026-01-23 17:50:00" +647,深圳,"2026-02-08","07:01:00","18:17:00","00:00:00","10:46:00",亏凸月,"805",21,15,"100",晴,"150",晴,78,东北风,"3-4",24,99,东风,"1-3",15,0.0,6,85,1005,21,10,"2026-01-23 17:50:00" +648,深圳,"2026-02-09","07:00:00","18:17:00","00:08:00","11:21:00",下弦月,"806",22,11,"101",多云,"151",多云,40,东北风,"4-5",33,19,东北风,"4-5",33,0.0,2,77,1012,25,25,"2026-01-23 17:50:00" +649,深圳,"2026-02-10","07:00:00","18:18:00","01:01:00","12:01:00",残月,"807",20,11,"103",晴间多云,"150",晴,16,东北风,"4-5",33,29,东北风,"3-4",26,0.0,3,77,1010,24,25,"2026-01-23 17:50:00" +650,深圳,"2026-02-11","06:59:00","18:18:00","01:56:00","12:44:00",残月,"807",18,12,"100",晴,"150",晴,59,东北风,"3-4",24,99,东风,"1-3",19,0.0,6,76,1010,23,20,"2026-01-23 17:50:00" +651,深圳,"2026-02-12","06:59:00","18:19:00","02:50:00","13:31:00",残月,"807",19,13,"102",少云,"151",多云,70,东北风,"1-3",17,77,东北风,"1-3",6,0.0,6,76,1009,24,20,"2026-01-23 17:50:00" +652,深圳,"2026-02-13","06:58:00","18:20:00","03:42:00","14:24:00",残月,"807",21,16,"101",多云,"150",晴,96,东风,"1-3",4,125,东南风,"1-3",11,0.0,2,76,1012,25,25,"2026-01-23 17:50:00" +653,深圳,"2026-02-14","06:57:00","18:20:00","04:31:00","15:19:00",残月,"807",22,16,"103",晴间多云,"150",晴,100,东风,"3-4",24,114,东南风,"3-4",24,0.0,2,77,1010,25,25,"2026-01-23 17:50:00" +654,深圳,"2026-02-15","06:57:00","18:21:00","05:16:00","16:16:00",残月,"807",22,16,"102",少云,"153",晴间多云,98,东风,"1-3",19,133,东南风,"1-3",19,0.0,4,78,1010,24,20,"2026-01-23 17:50:00" +655,深圳,"2026-02-16","06:56:00","18:21:00","05:57:00","17:13:00",残月,"807",22,17,"300",阵雨,"350",阵雨,20,东北风,"1-3",7,81,东风,"1-3",15,0.6,2,77,1012,25,55,"2026-01-23 17:50:00" +656,深圳,"2026-02-17","06:55:00","18:22:00","06:36:00","18:10:00",新月,"800",22,16,"101",多云,"150",晴,74,东北风,"1-3",19,102,东南风,"3-4",22,0.0,6,76,1010,23,25,"2026-01-23 17:50:00" +657,深圳,"2026-02-18","06:55:00","18:22:00","07:12:00","19:07:00",蛾眉月,"801",22,16,"100",晴,"151",多云,86,东风,"4-5",30,98,东风,"3-4",24,0.0,6,76,1010,25,5,"2026-01-23 17:50:00" +658,深圳,"2026-02-19","06:54:00","18:23:00","07:47:00","20:04:00",蛾眉月,"801",22,17,"101",多云,"151",多云,87,东风,"4-5",32,96,东风,"4-5",37,0.0,2,78,1012,22,25,"2026-01-23 17:50:00" +659,深圳,"2026-02-20","06:53:00","18:23:00","08:22:00","21:03:00",蛾眉月,"801",23,17,"103",晴间多云,"150",晴,90,东风,"4-5",33,103,东南风,"4-5",32,0.0,4,76,1012,22,25,"2026-01-23 17:50:00" +660,深圳,"2026-02-21","06:53:00","18:24:00","08:58:00","22:04:00",蛾眉月,"801",22,16,"100",晴,"150",晴,92,东风,"3-4",24,112,东南风,"3-4",20,0.0,7,76,1012,24,5,"2026-01-23 17:50:00" diff --git a/SmartVoyage/test/hf_test.py b/SmartVoyage/test/hf_test.py new file mode 100644 index 0000000..ff86c3a --- /dev/null +++ b/SmartVoyage/test/hf_test.py @@ -0,0 +1,20 @@ +import requests +import gzip +import json + +# 配置（使用自己的密钥） +API_KEY = "e50365e0418a456dac7910bd2d51dd39" +url = "https://nc33jqauxb.re.qweatherapi.com/v7/weather/7d?location=101010100" # 北京30天预报 +headers = { + "X-QW-Api-Key": API_KEY, + "Accept-Encoding": "gzip" # 请求gzip，但不强制 +} +try: + print("正在请求API...") + response = requests.get(url, headers=headers, timeout=10) + data = response.text + parsed_data = json.loads(data) + print("直接解析成功！") + print(parsed_data) +except requests.RequestException as e: + print(f"直接解析失败哦: {e}") \ No newline at end of file diff --git a/SmartVoyage/test/test_order_mcp_server.py b/SmartVoyage/test/test_order_mcp_server.py new file mode 100644 index 0000000..dbc3b52 --- /dev/null +++ b/SmartVoyage/test/test_order_mcp_server.py @@ -0,0 +1,66 @@ +import asyncio +import json + +from langchain.agents import create_tool_calling_agent, AgentExecutor +from langchain_core.prompts import ChatPromptTemplate +from langchain_mcp_adapters.tools import load_mcp_tools +from langchain_openai import ChatOpenAI +from mcp import ClientSession +from mcp.client.streamable_http import streamablehttp_client + +from SmartVoyage.config import Config +from SmartVoyage.create_logger import logger + +conf = Config() + +# 初始化LLM +llm = ChatOpenAI( + model=conf.model_name, + base_url=conf.base_url, + api_key=conf.api_key, + temperature=0.1 +) +async def order_tickets(query): + try: + # 启动 MCP server，通过streamable建立连接 + async with streamablehttp_client("http://127.0.0.1:8003/mcp") as (read, write, _): + # 使用读写通道创建 MCP 会话 + async with ClientSession(read, write) as session: + try: + await session.initialize() + + # 从 session 自动获取 MCP server 提供的工具列表。 + tools = await load_mcp_tools(session) + # print(f"tools-->{tools}") + + # 创建 agent 的提示模板 + prompt = ChatPromptTemplate.from_messages([ + ("system", + "你是一个票务预定助手，能够调用工具来完成火车票、飞机票或演出票的预定。你需要仔细分析工具需要的参数，然后从用户提供的信息中提取信息。如果用户提供的信息不足以提取到调用工具所有必要参数，则向用户追问，以获取该信息。不能自己编撰参数。"), + ("human", "{input}"), + ("placeholder", "{agent_scratchpad}"), + ]) + + # 构建工具调用代理 + agent = create_tool_calling_agent(llm, tools, prompt) + + # 创建代理执行器 + agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True) + + # 代理调用 + response = await agent_executor.ainvoke({"input": query}) + return response['output'] + except Exception as e: + logger.info(f"票务 MCP 测试出错：{str(e)}") + return f"票务 MCP 查询出错：{str(e)}" + + except Exception as e: + logger.error(f"连接或会话初始化时发生错误: {e}") + return "连接或会话初始化时发生错误" + +if __name__ == "__main__": + while True: + query = input("请输入查询：") + if query == "exit": + break + print(asyncio.run(order_tickets(query))) \ No newline at end of file diff --git a/SmartVoyage/test/test_ticket_agent_server.py b/SmartVoyage/test/test_ticket_agent_server.py new file mode 100644 index 0000000..119b18b --- /dev/null +++ b/SmartVoyage/test/test_ticket_agent_server.py @@ -0,0 +1,91 @@ +import asyncio +import uuid + +from python_a2a import A2AClient, Message, TextContent, MessageRole, Task +from langchain_openai import ChatOpenAI +from langchain_core.prompts import ChatPromptTemplate + +from SmartVoyage.config import Config +from SmartVoyage.create_logger import logger + +conf = Config() + +# 初始化 LLM +llm = ChatOpenAI( + model=conf.model_name, + api_key=conf.api_key, + base_url=conf.base_url, + temperature=0.1 + ) +ticket_prompt = ChatPromptTemplate.from_template( + """ + 您是一位票务解说员，以生动、引人入胜的风格为用户介绍票务查询结果。基于以下查询结果，生成一段总结： + - 突出出发/到达城市、时间、类型、价格和剩余票数，提及关键亮点。 + - 使用解说员的语气，例如“欢迎来到票务宝库！今天我们为您精选了...”。 + - 如果结果为空，建议用户尝试其他查询条件。 + - 保持中文叙述，字数控制在 100-150 字。 + + 查询结果： + {tickets} + + 总结： + """ +) +def main(): + # 初始化票务客户端 + ticket_client = A2AClient("http://localhost:5006") + + # 获取票务代理信息 + try: + logger.info("获取票务助手信息") + logger.info(f"名称: {ticket_client.agent_card.name}") + logger.info(f"描述: {ticket_client.agent_card.description}") + logger.info(f"版本: {ticket_client.agent_card.version}") + if ticket_client.agent_card.skills: + logger.info("支持技能:") + for skill in ticket_client.agent_card.skills: + logger.info(f"- {skill.name}: {skill.description}") + if skill.examples: + logger.info(f" 示例: {', '.join(skill.examples)}") + except Exception as e: + logger.error(f"无法获取票务助手信息: {str(e)}") + + # 交互循环 + while True: + user_input = input("输入您的票务查询（输入 'exit' 退出）：") + if user_input.lower() == 'exit': + break + + try: + query = user_input.strip() + logger.info(f"用户查询 (票务): {query}") + + # 发送查询 + logger.info("正在查询数据...") + message_ticket = Message(content=TextContent(text=query), role=MessageRole.USER) + task_ticket = Task(id="task-" + str(uuid.uuid4()), message=message_ticket.to_dict()) + + # 发送任务并获取最终结果 + ticket_result_task = asyncio.run(ticket_client.send_task_async(task_ticket)) + logger.info(f"原始响应: {ticket_result_task}") + + # 生成 LLM 总结 + if ticket_result_task.status.state == 'completed': + try: + summary_chain = ticket_prompt | llm + ticket_result = ticket_result_task.artifacts[0]["parts"][0]["text"] + summary = summary_chain.invoke({"tickets": ticket_result}).content.strip() + logger.info(f"**票务解说员总结**:\n{summary}") + except Exception as e: + error_message = f"生成总结失败: {str(e)}" + logger.error(error_message) + else: + logger.info(ticket_result_task.status.message['content']['text']) + except Exception as e: + error_message = f"查询失败: {str(e)}" + logger.error(error_message) + + +if __name__ == "__main__": + print("票务agent server查询客户端测试脚本") + main() \ No newline at end of file diff --git a/SmartVoyage/test/test_ticket_mcp_server.py b/SmartVoyage/test/test_ticket_mcp_server.py new file mode 100644 index 0000000..57671fe --- /dev/null +++ b/SmartVoyage/test/test_ticket_mcp_server.py @@ -0,0 +1,53 @@ +import asyncio +import json + +from langchain_mcp_adapters.tools import load_mcp_tools +from mcp import ClientSession +from mcp.client.streamable_http import streamablehttp_client + + + +# 定义服务器地址 +server_url = "http://127.0.0.1:8001/mcp" + +async def test_ticket_mcp(): + try: + # 启动 MCP server，通过streamable建立连接 + async with streamablehttp_client(server_url) as (read, write, _): + # 使用读写通道创建 MCP 会话 + async with ClientSession(read, write) as session: + try: + await session.initialize() + print("会话初始化成功，可以开始调用工具。") + + # 从 session 自动获取 MCP server 提供的工具列表。 + tools = await load_mcp_tools(session) + print(f"tools-->{tools}") + + # 调用远程工具 + # 测试1: 查询机票 + sql_flights = "SELECT * FROM flight_tickets WHERE departure_city = '上海' AND arrival_city = '北京' AND DATE(departure_time) = '2026-05-15' AND cabin_type = '公务舱'" + result_flights = await session.call_tool("query_tickets", {"sql": sql_flights}) + result_flights_data = json.loads(result_flights) if isinstance(result_flights, str) else result_flights + print(f"机票查询结果：{result_flights_data}") + + # 测试2: 查询火车票 + sql_trains = "SELECT * FROM train_tickets WHERE departure_city = '北京' AND arrival_city = '上海' AND DATE(departure_time) = '2025-08-26' AND seat_type = '二等座'" + result_trains = await session.call_tool("query_tickets", {"sql": sql_trains}) + result_trains_data = json.loads(result_trains) if isinstance(result_trains, str) else result_trains + print(f"火车票查询结果：{result_trains_data}") + # 测试3: 查询演唱会票 + sql_concerts = "SELECT * FROM concert_tickets WHERE city = '北京' AND artist = '刀郎' AND DATE(start_time) = '2025-08-24' AND ticket_type = '看台'" + result_concerts = await session.call_tool("query_tickets", {"sql": sql_concerts}) + result_concerts_data = json.loads(result_concerts) if isinstance(result_concerts, + str) else result_concerts + print(f"演唱会票查询结果：{result_concerts_data}") + except Exception as e: + print(f"票务 MCP 测试出错：{str(e)}") + except Exception as e: + print(f"连接或会话初始化时发生错误: {e}") + print("请确认服务端脚本已启动并运行在 http://127.0.0.1:8001/mcp") + + +if __name__ == "__main__": + asyncio.run(test_ticket_mcp()) \ No newline at end of file diff --git a/SmartVoyage/test/test_weather_agent_server.py b/SmartVoyage/test/test_weather_agent_server.py new file mode 100644 index 0000000..4fee28f --- /dev/null +++ b/SmartVoyage/test/test_weather_agent_server.py @@ -0,0 +1,93 @@ +import asyncio +import uuid + +from python_a2a import A2AClient, Message, TextContent, MessageRole, Task +from langchain_openai import ChatOpenAI +from langchain_core.prompts import ChatPromptTemplate + +from SmartVoyage.config import Config +from SmartVoyage.create_logger import logger + +conf = Config() + +# 初始化 LLM +llm = ChatOpenAI( + model=conf.model_name, + api_key=conf.api_key, + base_url=conf.base_url, + temperature=0.1 + ) + +# 天气总结提示模板 +weather_prompt = ChatPromptTemplate.from_template( + """ + 您是一位天气解说员，以生动、引人入胜的风格为用户介绍天气查询结果。基于以下查询结果，生成一段总结： + - 突出城市、日期、温度、天气描述和湿度，提及关键亮点如适宜活动。 + - 使用解说员的语气，例如“欢迎来到天气宝库！今天我们为您带来...”。 + - 如果结果为空，建议用户尝试其他查询条件。 + - 保持中文叙述，字数控制在 100-150 字。 + + 查询结果： + {weather} + + 总结： + """ +) + +def main(): + # 初始化天气客户端 + weather_client = A2AClient("http://localhost:5005") + + # 获取天气代理信息 + try: + logger.info("获取天气助手信息") + logger.info(f"名称: {weather_client.agent_card.name}") + logger.info(f"描述: {weather_client.agent_card.description}") + logger.info(f"版本: {weather_client.agent_card.version}") + if weather_client.agent_card.skills: + logger.info("支持技能:") + for skill in weather_client.agent_card.skills: + logger.info(f"- {skill.name}: {skill.description}") + if skill.examples: + logger.info(f" 示例: {', '.join(skill.examples)}") + except Exception as e: + logger.error(f"无法获取天气助手信息: {str(e)}") + + # 交互循环 + while True: + user_input = input("输入您的天气查询（输入 'exit' 退出）：") + if user_input.lower() == 'exit': + break + + try: + query = user_input.strip() + logger.info(f"用户查询 (天气): {query}") + + # 发送查询 + logger.info("正在查询数据...") + message_weather = Message(content=TextContent(text=query), role=MessageRole.USER) + task_weather = Task(id="task-" + str(uuid.uuid4()), message=message_weather.to_dict()) + + weather_result_task = asyncio.run(weather_client.send_task_async(task_weather)) + logger.info(f"原始响应: {weather_result_task}") + + # 生成 LLM 总结 + if weather_result_task.status.state == 'completed': + try: + summary_chain = weather_prompt | llm + weather_result = weather_result_task.artifacts[0]["parts"][0]["text"] + summary = summary_chain.invoke({"weather": weather_result}).content.strip() + logger.info(f"**天气解说员总结**:\n{summary}") + except Exception as e: + error_message = f"生成总结失败: {str(e)}" + logger.error(error_message) + else: + logger.info(weather_result_task.status.message['content']['text']) + except Exception as e: + error_message = f"查询失败: {str(e)}" + logger.error(error_message) + + +if __name__ == "__main__": + print("天气agent server查询客户端测试脚本") + main() \ No newline at end of file diff --git a/SmartVoyage/test/test_weather_mcp_server.py b/SmartVoyage/test/test_weather_mcp_server.py new file mode 100644 index 0000000..6d553f0 --- /dev/null +++ b/SmartVoyage/test/test_weather_mcp_server.py @@ -0,0 +1,45 @@ +import asyncio +import json + +from langchain_mcp_adapters.tools import load_mcp_tools +from mcp import ClientSession +from mcp.client.streamable_http import streamablehttp_client + + +# 定义服务器地址 +server_url = "http://127.0.0.1:8002/mcp" + +async def test_weather_mcp(): + try: + # 启动 MCP server，通过streamable建立连接 + async with streamablehttp_client(server_url) as (read, write, _): + # 使用读写通道创建 MCP 会话 + async with ClientSession(read, write) as session: + try: + await session.initialize() + print("会话初始化成功，可以开始调用工具。") + + # 从 session 自动获取 MCP server 提供的工具列表。 + tools = await load_mcp_tools(session) + print(f"tools-->{tools}") + + # 测试1: 查询指定日期天气 + sql = "SELECT * FROM weather_data WHERE city = '北京' AND fx_date = '2026-03-22'" + result = await session.call_tool("query_weather", {"sql": sql}) + result_data = json.loads(result) if isinstance(result, str) else result + print(f"指定日期天气结果：{result_data}") + + # 测试2: 查询未来3天天气 + sql_range = "SELECT * FROM weather_data WHERE city = '北京' AND fx_date BETWEEN '2026-01-28' AND '2026-01-30'" + result_range = await session.call_tool("query_weather", {"sql": sql_range}) + result_range_data = json.loads(result_range) if isinstance(result_range, str) else result_range + print(f"天气范围查询结果：{result_range_data}") + except Exception as e: + print(f"天气 MCP 测试出错：{str(e)}") + except Exception as e: + print(f"连接或会话初始化时发生错误: {e}") + print("请确认服务端脚本已启动并运行在 http://127.0.0.1:8002/mcp") + + +if __name__ == "__main__": + asyncio.run(test_weather_mcp()) \ No newline at end of file diff --git a/SmartVoyage/utils/format.py b/SmartVoyage/utils/format.py new file mode 100644 index 0000000..77b45b9 --- /dev/null +++ b/SmartVoyage/utils/format.py @@ -0,0 +1,38 @@ +import json +from datetime import date, datetime, timedelta +from decimal import Decimal + + +def default_encoder(obj): # 定义编码器方法，用于格式化单个对象 + if isinstance(obj, datetime): # 检查是否为datetime，返回带时间的格式化字符串 + return obj.strftime('%Y-%m-%d %H:%M:%S') + if isinstance(obj, date): # 检查是否为date，返回日期格式化字符串 + return obj.strftime('%Y-%m-%d') + if isinstance(obj, timedelta): # 检查是否为timedelta，转换为字符串 + return str(obj) + if isinstance(obj, Decimal): # 检查是否为Decimal，转换为浮点数 + return float(obj) + return obj # 否则返回原对象 + +# 定义自定义JSON编码器类，继承自json.JSONEncoder，用于处理非标准类型序列化 +class DateEncoder(json.JSONEncoder): + def default(self, obj): # 重写default方法，处理序列化时的默认对象转换 + if isinstance(obj, (date, datetime)): # 检查对象是否为date或datetime类型，对于datetime返回带时间的字符串，对于date返回日期字符串 + return obj.strftime('%Y-%m-%d %H:%M:%S') if isinstance(obj, datetime) else obj.strftime('%Y-%m-%d') + if isinstance(obj, timedelta): # 检查对象是否为timedelta类型，将时间差转换为字符串 + return str(obj) + if isinstance(obj, Decimal): # 检查对象是否为Decimal类型，将Decimal转换为浮点数以兼容JSON + return float(obj) + return super().default(obj) # 对于其他类型，调用父类默认方法 +if __name__ == '__main__': + print(default_encoder(datetime(2025, 8, 11, 8, 0))) + print(default_encoder(date(2025, 8, 11))) + print(default_encoder(timedelta(days=1))) + print(default_encoder(Decimal('123.45'))) + print('*'*80) + + encoder = DateEncoder() + print(encoder.default(datetime(2025, 8, 11, 8, 0))) + print(encoder.default(date(2025, 8, 11))) + print(encoder.default(timedelta(days=1))) + print(encoder.default(Decimal('123.45'))) \ No newline at end of file diff --git a/SmartVoyage/utils/spider_weather.py b/SmartVoyage/utils/spider_weather.py new file mode 100644 index 0000000..141ead3 --- /dev/null +++ b/SmartVoyage/utils/spider_weather.py @@ -0,0 +1,240 @@ +import requests +import pymysql +from datetime import datetime, timedelta +import schedule +import time +import json +import gzip +import pytz +from SmartVoyage.config import Config + +conf = Config() + +# 配置 +API_KEY = "d18b2e8db59d466585507624e248d719" +city_codes = { + "北京": "101010100", + "上海": "101020100", + "广州": "101280101", + "深圳": "101280601" +} +BASE_URL = "https://np6hey8bmx.re.qweatherapi.com/v7/weather/7d" +TZ = pytz.timezone('Asia/Shanghai') # 使用上海时区 + +# MySQL 配置 +db_config = { + "host": conf.host, + "user": conf.user, + "password": conf.password, + "database": conf.database, + "charset": "utf8mb4" +} +def connect_db(): + return pymysql.connect(**db_config) +def fetch_weather_data(city, location): + headers = { + "X-QW-Api-Key": API_KEY, + "Accept-Encoding": "gzip" + } + url = f"{BASE_URL}?location={location}" + try: + response = requests.get(url, headers=headers, timeout=10) + response.raise_for_status() + if response.headers.get('Content-Encoding') == 'gzip': + data = gzip.decompress(response.content).decode('utf-8') + else: + data = response.text + return json.loads(data) + except requests.RequestException as e: + print(f"请求 {city} 天气数据失败: {e}") + return None + except json.JSONDecodeError as e: + print(f"{city} JSON 解析错误: {e}, 响应内容: {response.text[:500]}...") + return None + except gzip.BadGzipFile: + print(f"{city} 数据未正确解压，尝试直接解析: {response.text[:500]}...") + return json.loads(response.text) if response.text else None + +def get_latest_update_time(cursor, city): + cursor.execute("SELECT MAX(update_time) FROM weather_data WHERE city = %s", (city,)) + result = cursor.fetchone() + return result[0] if result[0] else None +def should_update_data(latest_time, force_update=False): + if force_update: + return True + if latest_time is None: + return True + + # 时区问题：确保 latest_time 有时区信息 + if latest_time and latest_time.tzinfo is None: + latest_time = latest_time.replace(tzinfo=TZ) + + current_time = datetime.now(TZ) + return (current_time - latest_time) > timedelta(days=1) +def store_weather_data(conn, cursor, city, data): + if not data or data.get("code") != "200": + print(f"{city} 数据无效，跳过存储。") + return + + daily_data = data.get("daily", []) + update_time = datetime.fromisoformat(data.get("updateTime").replace("+08:00", "+08:00")).replace(tzinfo=TZ) + + for day in daily_data: + fx_date = datetime.strptime(day["fxDate"], "%Y-%m-%d").date() + values = ( + city, fx_date, + day.get("sunrise"), day.get("sunset"), + day.get("moonrise"), day.get("moonset"), + day.get("moonPhase"), day.get("moonPhaseIcon"), + day.get("tempMax"), day.get("tempMin"), + day.get("iconDay"), day.get("textDay"), + day.get("iconNight"), day.get("textNight"), + day.get("wind360Day"), day.get("windDirDay"), day.get("windScaleDay"), day.get("windSpeedDay"), + day.get("wind360Night"), day.get("windDirNight"), day.get("windScaleNight"), day.get("windSpeedNight"), + day.get("precip"), day.get("uvIndex"), + day.get("humidity"), day.get("pressure"), + day.get("vis"), day.get("cloud"), + update_time + ) + insert_query = """ + INSERT INTO weather_data ( + city, fx_date, sunrise, sunset, moonrise, moonset, moon_phase, moon_phase_icon, + temp_max, temp_min, icon_day, text_day, icon_night, text_night, + wind360_day, wind_dir_day, wind_scale_day, wind_speed_day, + wind360_night, wind_dir_night, wind_scale_night, wind_speed_night, + precip, uv_index, humidity, pressure, vis, cloud, update_time + ) VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s) + ON DUPLICATE KEY UPDATE + sunrise = VALUES(sunrise), sunset = VALUES(sunset), moonrise = VALUES(moonrise), + moonset = VALUES(moonset), moon_phase = VALUES(moon_phase), moon_phase_icon = VALUES(moon_phase_icon), + temp_max = VALUES(temp_max), temp_min = VALUES(temp_min), icon_day = VALUES(icon_day), + text_day = VALUES(text_day), icon_night = VALUES(icon_night), text_night = VALUES(text_night), + wind360_day = VALUES(wind360_day), wind_dir_day = VALUES(wind_dir_day), wind_scale_day = VALUES(wind_scale_day), + wind_speed_day = VALUES(wind_speed_day), wind360_night = VALUES(wind360_night), + wind_dir_night = VALUES(wind_dir_night), wind_scale_night = VALUES(wind_scale_night), + wind_speed_night = VALUES(wind_speed_night), precip = VALUES(precip), uv_index = VALUES(uv_index), + humidity = VALUES(humidity), pressure = VALUES(pressure), vis = VALUES(vis), + cloud = VALUES(cloud), update_time = VALUES(update_time) + """ + try: + cursor.execute(insert_query, values) + print(f"{city} {fx_date} 数据写入/更新成功: {day.get('textDay')}, 影响行数: {cursor.rowcount}") + conn.commit() + print(f"{city} 事务提交完成。") + except pymysql.Error as e: + print(f"{city} {fx_date} 数据库错误: {e}") + conn.rollback() + print(f"{city} 事务回滚。") +def update_weather(force_update=False): + conn = connect_db() + cursor = conn.cursor() + + for city, location in city_codes.items(): + latest_time = get_latest_update_time(cursor, city) + if should_update_data(latest_time, force_update): + print(f"开始更新 {city} 天气数据...") + data = fetch_weather_data(city, location) + if data: + store_weather_data(conn, cursor, city, data) + else: + print(f"{city} 数据已为最新，无需更新。最新更新时间: {latest_time}") + + cursor.close() + conn.close() +def setup_scheduler(): + # 北京时间 1:00 对应 PDT 前一天的 16:00（夏令时） + schedule.every().day.at("16:00").do(update_weather) + while True: + schedule.run_pending() + time.sleep(60) + +if __name__ == '__main__': + with pymysql.connect(**db_config) as conn: + cursor = conn.cursor() + cursor.execute(""" + CREATE TABLE IF NOT EXISTS weather_data + ( + id + INT + AUTO_INCREMENT + PRIMARY + KEY, + city + VARCHAR + ( + 50 + ) NOT NULL COMMENT '城市名称', + fx_date DATE NOT NULL COMMENT '预报日期', + sunrise TIME COMMENT '日出时间', + sunset TIME COMMENT '日落时间', + moonrise TIME COMMENT '月升时间', + moonset TIME COMMENT '月落时间', + moon_phase VARCHAR + ( + 20 + ) COMMENT '月相名称', + moon_phase_icon VARCHAR + ( + 10 + ) COMMENT '月相图标代码', + temp_max INT COMMENT '最高温度', + temp_min INT COMMENT '最低温度', + icon_day VARCHAR + ( + 10 + ) COMMENT '白天天气图标代码', + text_day VARCHAR + ( + 20 + ) COMMENT '白天天气描述', + icon_night VARCHAR + ( + 10 + ) COMMENT '夜间天气图标代码', + text_night VARCHAR + ( + 20 + ) COMMENT '夜间天气描述', + wind360_day INT COMMENT '白天风向360角度', + wind_dir_day VARCHAR + ( + 20 + ) COMMENT '白天风向', + wind_scale_day VARCHAR + ( + 10 + ) COMMENT '白天风力等级', + wind_speed_day INT COMMENT '白天风速 (km/h)', + wind360_night INT COMMENT '夜间风向360角度', + wind_dir_night VARCHAR + ( + 20 + ) COMMENT '夜间风向', + wind_scale_night VARCHAR + ( + 10 + ) COMMENT '夜间风力等级', + wind_speed_night INT COMMENT '夜间风速 (km/h)', + precip DECIMAL + ( + 5, + 1 + ) COMMENT '降水量 (mm)', + uv_index INT COMMENT '紫外线指数', + humidity INT COMMENT '相对湿度 (%)', + pressure INT COMMENT '大气压强 (hPa)', + vis INT COMMENT '能见度 (km)', + cloud INT COMMENT '云量 (%)', + update_time DATETIME COMMENT '数据更新时间', + UNIQUE KEY unique_city_date + ( + city, + fx_date + ) + ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COLLATE =utf8mb4_unicode_ci COMMENT='天气数据表' + """) + conn.commit() + update_weather() + + # 启动定时任务 + setup_scheduler() \ No newline at end of file diff --git a/mymath.py b/mymath.py new file mode 100644 index 0000000..43f9c48 --- /dev/null +++ b/mymath.py @@ -0,0 +1,72 @@ +def multiply(a, b): + """ + 计算两个数字的乘积 + + Args: + a: 第一个数字 + b: 第二个数字 + + Returns: + 两个数字的乘积 + """ + return a * b + +def divide(a, b): + """ + 计算两个数字的商 + + Args: + a: 被除数 + b: 除数 + + Returns: + 两个数字的商 + + Raises: + ValueError: 如果除数为零 + """ + if b == 0: + raise ValueError("除数不能为零") + return a / b + +if __name__ == "__main__": + # 测试乘法函数 + print("测试乘法函数:") + test_cases_multiply = [ + (2, 3, 6), + (-2, 3, -6), + (0, 5, 0), + (2.5, 4, 10.0), + (-2.5, -2, 5.0) + ] + + for a, b, expected in test_cases_multiply: + result = multiply(a, b) + status = "PASS" if result == expected else "FAIL" + print(f" {status} multiply({a}, {b}) = {result} (期望: {expected})") + + # 测试除法函数 + print("\n测试除法函数:") + test_cases_divide = [ + (6, 3, 2), + (10, 2, 5), + (-6, 2, -3), + (5, 2, 2.5), + (0, 5, 0) + ] + + for a, b, expected in test_cases_divide: + try: + result = divide(a, b) + status = "PASS" if result == expected else "FAIL" + print(f" {status} divide({a}, {b}) = {result} (期望: {expected})") + except ValueError as e: + print(f" FAIL divide({a}, {b}) 出错: {e}") + + # 测试除数为零的情况 + print("\n测试除数为零:") + try: + divide(5, 0) + print(" FAIL divide(5, 0) 应该抛出异常但没有") + except ValueError as e: + print(f" PASS divide(5, 0) 正确抛出异常: {e}") \ No newline at end of file