107 lines
3.4 KiB
Python
107 lines
3.4 KiB
Python
import pymysql
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import time
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from astrbot.api import logger
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from .api_data import api_data_get, api_data_post
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#连接数据库配置
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db_config = {
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'host': '154.201.70.116',
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'port': 3306,
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'user': 'asrtbot',
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'password': 'qsc123456',
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'database': 'asrtbot',
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'charset': 'utf8mb4',
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'cursorclass': pymysql.cursors.DictCursor #返回字典格式数据
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}
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# 提取所有 dataModels 中的数据
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def extract_data_models(source_data):
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extracted_data = []
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for category in source_data:
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if "dataModels" in category and category["dataModels"]:
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extracted_data.extend(category["dataModels"])
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return extracted_data
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# 获取并存储搜索数据
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def sql_data_searchdata():
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# 接口配置
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custom_url = "https://www.aijx3.cn/api2/aijx3-wblwg/basedata/getSearchData"
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params = {}
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try:
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# 获取数据
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source_data = api_data_post(custom_url, params, "data")
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if not source_data:
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return "获取数据失败或数据为空"
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# 处理数据
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extracted_data = extract_data_models(source_data)
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if not extracted_data: # 修正：应该是extracted_data而不是source_data
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return "未提取到数据"
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# 连接数据库并插入数据
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with pymysql.connect(**db_config) as connection:
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with connection.cursor() as cursor:
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# 清空表数据
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cursor.execute("TRUNCATE TABLE searchdata")
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# 准备SQL和批量数据
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sql = """
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INSERT INTO searchdata
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(typeName, name, showName, picUrl, searchId, searchDescType)
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VALUES (%s, %s, %s, %s, %s, %s)
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"""
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# 使用列表推导式简化数据准备
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values_list = [
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(
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item['typeName'],
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item['name'],
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item['showName'],
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item['picUrl'],
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item['searchId'],
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item['searchDescType']
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)
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for item in extracted_data
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]
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# 批量插入
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cursor.executemany(sql, values_list)
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connection.commit()
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return f"成功批量插入 {len(extracted_data)} 条数据！"
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except pymysql.Error as e:
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return f"数据库操作失败: {e}"
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except Exception as e:
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return f"操作失败: {e}"
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# 根据搜索字符串查询匹配的数据
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def sql_data_select(search_string):
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"""
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根据搜索字符串查询匹配的数据
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Args:
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search_string: 搜索字符串
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Returns:
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匹配的第一条记录，如果没有匹配则返回None
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"""
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try:
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with pymysql.connect(**db_config) as connection:
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with connection.cursor() as cursor:
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sql = """
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SELECT searchId, showName, name
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FROM searchdata
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WHERE name = %s OR showName = %s
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LIMIT 1
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"""
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params = (search_string, search_string)
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cursor.execute(sql, params)
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return cursor.fetchone()
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except Exception as e:
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logger.error(f"查询数据时出错: {e}")
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return None |