feat(spider): 新增卡乐已售数据爬虫功能

- 添加 MySQL 连接池配置文件 application.yml
- 创建数据库连接池管理类 mysql_pool.py，支持连接复用和批量操作
- 实现历史交易数据爬虫 pokecolor_history_spider.py
- 开发每日新增数据爬虫 pokecolor_new_daily_spider.py
- 集成代理配置和重试机制
- 添加日志记录和异常处理功能
- 实现数据解析和入库逻辑

pokecolor_spider/YamlLoader.py

@@ -0,0 +1,78 @@
+# -*- coding: utf-8 -*-
+# Author : Charley
+# Python : 3.10.8
+# Date   : 2025/12/22 10:44
+import os, re
+import yaml
+
+regex = re.compile(r'^\$\{(?P<ENV>[A-Z_\-]+:)?(?P<VAL>[\w.]+)}$')
+
+
+class YamlConfig:
+    def __init__(self, config):
+        self.config = config
+    
+    def get(self, key: str):
+        return YamlConfig(self.config.get(key))
+    
+    def getValueAsString(self, key: str):
+        try:
+            match = regex.match(self.config[key])
+            group = match.groupdict()
+            if group['ENV'] is not None:
+                env = group['ENV'][:-1]
+                return os.getenv(env, group['VAL'])
+            return None
+        except:
+            return self.config[key]
+    
+    def getValueAsInt(self, key: str):
+        try:
+            match = regex.match(self.config[key])
+            group = match.groupdict()
+            if group['ENV'] is not None:
+                env = group['ENV'][:-1]
+                return int(os.getenv(env, group['VAL']))
+            return 0
+        except:
+            return int(self.config[key])
+    
+    def getValueAsBool(self, key: str):
+        try:
+            match = regex.match(self.config[key])
+            group = match.groupdict()
+            if group['ENV'] is not None:
+                env = group['ENV'][:-1]
+                return bool(os.getenv(env, group['VAL']))
+            return False
+        except:
+            return bool(self.config[key])
+
+
+def readYaml(path: str = 'application.yml', profile: str = None) -> YamlConfig:
+    if os.path.exists(path):
+        with open(path) as fd:
+            conf = yaml.load(fd, Loader=yaml.FullLoader)
+    
+    if profile is not None:
+        result = path.split('.')
+        profiledYaml = f'{result[0]}-{profile}.{result[1]}'
+        if os.path.exists(profiledYaml):
+            with open(profiledYaml) as fd:
+                conf.update(yaml.load(fd, Loader=yaml.FullLoader))
+    
+    return YamlConfig(conf)
+
+# res = readYaml()
+# mysqlConf = res.get('mysql')
+# print(mysqlConf)
+
+# print(res.getValueAsString("host"))
+# mysqlYaml = mysqlConf.getValueAsString("host")
+# print(mysqlYaml)
+# host = mysqlYaml.get("host").split(':')[-1][:-1]
+# port = mysqlYaml.get("port").split(':')[-1][:-1]
+# username = mysqlYaml.get("username").split(':')[-1][:-1]
+# password = mysqlYaml.get("password").split(':')[-1][:-1]
+# mysql_db = mysqlYaml.get("db").split(':')[-1][:-1]
+# print(host,port,username,password)

pokecolor_spider/application.yml

@@ -0,0 +1,6 @@
+mysql:
+  host: ${MYSQL_HOST:100.64.0.25}
+  port: ${MYSQL_PROT:3306}
+  username: ${MYSQL_USERNAME:crawler}
+  password: ${MYSQL_PASSWORD:Pass2022}
+  db: ${MYSQL_DATABASE:crawler}

pokecolor_spider/details.py

@@ -0,0 +1,14 @@
+# -*- coding: utf-8 -*-
+# Author : Charley
+# Python : 3.10.8
+# Date   : 2026/3/17 16:50
+
+# -----------------------------------------------------------------------------------------------
+# def get_details(order_id):
+#     """
+#     获取订单详情
+#     """
+#     # url = "https://api.pokecolor.cn/api/h5/trade/sellorder/XS2601281100b85329/"
+#     url = f"https://api.pokecolor.cn/api/h5/trade/sellorder/{order_id}/"
+#     response = requests.get(url, headers=headers)
+#     print(response.text)

pokecolor_spider/mysql_pool.py

@@ -0,0 +1,628 @@
+# -*- coding: utf-8 -*-
+# Author : Charley
+# Python : 3.10.8
+# Date   : 2025/3/25 14:14
+import re
+import pymysql
+import YamlLoader
+from loguru import logger
+from dbutils.pooled_db import PooledDB
+
+# 获取yaml配置
+yaml = YamlLoader.readYaml()
+mysqlYaml = yaml.get("mysql")
+sql_host = mysqlYaml.getValueAsString("host")
+sql_port = mysqlYaml.getValueAsInt("port")
+sql_user = mysqlYaml.getValueAsString("username")
+sql_password = mysqlYaml.getValueAsString("password")
+sql_db = mysqlYaml.getValueAsString("db")
+
+
+class MySQLConnectionPool:
+    """
+    MySQL连接池
+    """
+
+    def __init__(self, mincached=1, maxcached=2, maxconnections=3, log=None):
+        """
+        初始化连接池
+        :param mincached: 初始化时，链接池中至少创建的链接，0表示不创建
+        :param maxcached: 池中空闲连接的最大数目（0 或 None 表示池大小不受限制）
+        :param maxconnections: 允许的最大连接数（0 或 None 表示任意数量的连接）
+        :param log: 自定义日志记录器
+        """
+        # 使用 loguru 的 logger，如果传入了其他 logger，则使用传入的 logger
+        self.log = log or logger
+        self.pool = PooledDB(
+            creator=pymysql,
+            mincached=mincached,
+            maxcached=maxcached,
+            maxconnections=maxconnections,
+            blocking=True,  # 连接池中如果没有可用连接后，是否阻塞等待。True，等待；False，不等待然后报错
+            host=sql_host,
+            port=sql_port,
+            user=sql_user,
+            password=sql_password,
+            database=sql_db,
+            ping=2,  # 每次执行前检查连接有效性，防止使用已断开的连接
+            connect_timeout=5,  # 连接超时时间（秒）
+            # read_timeout=30,  # 读取超时时间（秒）
+            write_timeout=30  # 写入超时时间（秒）
+        )
+
+    def _execute(self, query, args=None, commit=False):
+        """
+        执行SQL
+        :param query: SQL语句
+        :param args: SQL参数
+        :param commit: 是否提交事务
+        :return: 查询结果
+        """
+        try:
+            with self.pool.connection() as conn:
+                with conn.cursor() as cursor:
+                    cursor.execute(query, args)
+                    if commit:
+                        conn.commit()
+                    self.log.debug(f"sql _execute, Query: {query}, Rows: {cursor.rowcount}")
+                    return cursor
+        except Exception as e:
+            if commit and conn:
+                conn.rollback()
+            self.log.exception(f"Error executing query: {e}, Query: {query}, Args: {args}")
+            raise e
+
+    def select_one(self, query, args=None):
+        """
+        执行查询，返回单个结果
+        :param query: 查询语句
+        :param args: 查询参数
+        :return: 查询结果
+        """
+        cursor = self._execute(query, args)
+        return cursor.fetchone()
+
+    def select_all(self, query, args=None):
+        """
+        执行查询，返回所有结果
+        :param query: 查询语句
+        :param args: 查询参数
+        :return: 查询结果
+        """
+        cursor = self._execute(query, args)
+        return cursor.fetchall()
+
+    def insert_one(self, query, args):
+        """
+        执行单条插入语句
+        :param query: 插入语句
+        :param args: 插入参数
+        """
+        self.log.info('>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>data insert_one 入库中>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>')
+        cursor = self._execute(query, args, commit=True)
+        return cursor.lastrowid  # 返回插入的ID
+
+    def insert_all(self, query, args_list):
+        """
+        执行批量插入语句,如果失败则逐条插入
+        :param query: 插入语句
+        :param args_list: 插入参数列表
+        """
+        conn = None
+        cursor = None
+        try:
+            conn = self.pool.connection()
+            cursor = conn.cursor()
+            cursor.executemany(query, args_list)
+            conn.commit()
+            self.log.debug(f"sql insert_all, SQL: {query[:100]}..., Rows: {cursor.rowcount}")
+            self.log.info('>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>data insert_all 入库中>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>')
+        except pymysql.err.IntegrityError as e:
+            if "Duplicate entry" in str(e):
+                conn.rollback()
+                self.log.warning(f"批量插入遇到重复,开始逐条插入。错误: {e}")
+                rowcount = 0
+                for args in args_list:
+                    try:
+                        self.insert_one(query, args)
+                        rowcount += 1
+                    except pymysql.err.IntegrityError as e2:
+                        if "Duplicate entry" in str(e2):
+                            self.log.debug(f"跳过重复条目: {e2}")
+                        else:
+                            self.log.error(f"插入失败: {e2}")
+                    except Exception as e2:
+                        self.log.error(f"插入失败: {e2}")
+                self.log.info(f"逐条插入完成: {rowcount}/{len(args_list)}条")
+            else:
+                conn.rollback()
+                self.log.exception(f"数据库完整性错误: {e}")
+                raise e
+        except Exception as e:
+            conn.rollback()
+            self.log.exception(f"批量插入失败: {e}")
+            raise e
+        finally:
+            if cursor:
+                cursor.close()
+            if conn:
+                conn.close()
+
+    def insert_one_or_dict(self, table=None, data=None, query=None, args=None, commit=True, ignore=False):
+        """
+        单条插入（支持字典或原始SQL）
+        :param table: 表名（字典插入时必需）
+        :param data: 字典数据 {列名: 值}
+        :param query: 直接SQL语句（与data二选一）
+        :param args: SQL参数（query使用时必需）
+        :param commit: 是否自动提交
+        :param ignore: 是否使用ignore
+        :return: 最后插入ID
+        """
+        if data is not None:
+            if not isinstance(data, dict):
+                raise ValueError("Data must be a dictionary")
+
+            keys = ', '.join([self._safe_identifier(k) for k in data.keys()])
+            values = ', '.join(['%s'] * len(data))
+
+            # 构建 INSERT IGNORE 语句
+            ignore_clause = "IGNORE" if ignore else ""
+            query = f"INSERT {ignore_clause} INTO {self._safe_identifier(table)} ({keys}) VALUES ({values})"
+            args = tuple(data.values())
+        elif query is None:
+            raise ValueError("Either data or query must be provided")
+
+        try:
+            cursor = self._execute(query, args, commit)
+            self.log.info(f"sql insert_one_or_dict, Table: {table}, Rows: {cursor.rowcount}")
+            self.log.info('>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>data insert_one_or_dict 入库中>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>')
+            return cursor.lastrowid
+        except pymysql.err.IntegrityError as e:
+            if "Duplicate entry" in str(e):
+                self.log.warning(f"插入失败：重复条目，已跳过。错误详情: {e}")
+                return -1  # 返回 -1 表示重复条目被跳过
+            else:
+                self.log.exception(f"数据库完整性错误: {e}")
+                raise
+        except Exception as e:
+            self.log.exception(f"未知错误: {e}")
+            raise
+
+    def insert_many(self, table=None, data_list=None, query=None, args_list=None, batch_size=1000, commit=True,
+                    ignore=False):
+        """
+        批量插入（支持字典列表或原始SQL）
+        :param table: 表名（字典插入时必需）
+        :param data_list: 字典列表 [{列名: 值}]
+        :param query: 直接SQL语句（与data_list二选一）
+        :param args_list: SQL参数列表（query使用时必需）
+        :param batch_size: 分批大小
+        :param commit: 是否自动提交
+        :param ignore: 是否使用ignore
+        :return: 影响行数
+        """
+        if data_list is not None:
+            if not data_list or not isinstance(data_list[0], dict):
+                raise ValueError("Data_list must be a non-empty list of dictionaries")
+
+            keys = ', '.join([self._safe_identifier(k) for k in data_list[0].keys()])
+            values = ', '.join(['%s'] * len(data_list[0]))
+
+            # 构建 INSERT IGNORE 语句
+            ignore_clause = "IGNORE" if ignore else ""
+            query = f"INSERT {ignore_clause} INTO {self._safe_identifier(table)} ({keys}) VALUES ({values})"
+            args_list = [tuple(d.values()) for d in data_list]
+        elif query is None:
+            raise ValueError("Either data_list or query must be provided")
+
+        total = 0
+        for i in range(0, len(args_list), batch_size):
+            batch = args_list[i:i + batch_size]
+            try:
+                with self.pool.connection() as conn:
+                    with conn.cursor() as cursor:
+                        cursor.executemany(query, batch)
+                        if commit:
+                            conn.commit()
+                        total += cursor.rowcount
+            except pymysql.err.IntegrityError as e:
+                # 处理唯一索引冲突
+                if "Duplicate entry" in str(e):
+                    if ignore:
+                        # 如果使用了 INSERT IGNORE,理论上不会进这里,但以防万一
+                        self.log.warning(f"批量插入遇到重复条目(ignore模式): {e}")
+                    else:
+                        # 没有使用 IGNORE,降级为逐条插入
+                        self.log.warning(f"批量插入遇到重复条目,开始逐条插入。错误: {e}")
+                        if commit:
+                            conn.rollback()
+                        
+                        rowcount = 0
+                        for j, args in enumerate(batch):
+                            try:
+                                if data_list:
+                                    # 字典模式
+                                    self.insert_one_or_dict(
+                                        table=table,
+                                        data=dict(zip(data_list[0].keys(), args)),
+                                        commit=commit,
+                                        ignore=False  # 单条插入时手动捕获重复
+                                    )
+                                else:
+                                    # 原始SQL模式
+                                    self.insert_one(query, args)
+                                rowcount += 1
+                            except pymysql.err.IntegrityError as e2:
+                                if "Duplicate entry" in str(e2):
+                                    self.log.debug(f"跳过重复条目[{i+j+1}]: {e2}")
+                                else:
+                                    self.log.error(f"插入失败[{i+j+1}]: {e2}")
+                            except Exception as e2:
+                                self.log.error(f"插入失败[{i+j+1}]: {e2}")
+                        total += rowcount
+                        self.log.info(f"批次逐条插入完成: 成功{rowcount}/{len(batch)}条")
+                else:
+                    # 其他完整性错误
+                    self.log.exception(f"数据库完整性错误: {e}")
+                    if commit:
+                        conn.rollback()
+                    raise e
+            except Exception as e:
+                # 其他数据库错误
+                self.log.exception(f"批量插入失败: {e}")
+                if commit:
+                    conn.rollback()
+                raise e
+        if table:
+            self.log.info(f"sql insert_many, Table: {table}, Total Rows: {total}")
+        else:
+            self.log.info(f"sql insert_many, Query: {query}, Total Rows: {total}")
+        return total
+
+    def insert_many_two(self, table=None, data_list=None, query=None, args_list=None, batch_size=1000, commit=True,
+                        ignore=False):
+        """
+        批量插入(支持字典列表或原始SQL) - 备用方法
+        :param table: 表名(字典插入时必需)
+        :param data_list: 字典列表 [{列名: 值}]
+        :param query: 直接SQL语句(与data_list二选一)
+        :param args_list: SQL参数列表(query使用时必需)
+        :param batch_size: 分批大小
+        :param commit: 是否自动提交
+        :param ignore: 是否使用INSERT IGNORE
+        :return: 影响行数
+        """
+        if data_list is not None:
+            if not data_list or not isinstance(data_list[0], dict):
+                raise ValueError("Data_list must be a non-empty list of dictionaries")
+            keys = ', '.join([self._safe_identifier(k) for k in data_list[0].keys()])
+            values = ', '.join(['%s'] * len(data_list[0]))
+            ignore_clause = "IGNORE" if ignore else ""
+            query = f"INSERT {ignore_clause} INTO {self._safe_identifier(table)} ({keys}) VALUES ({values})"
+            args_list = [tuple(d.values()) for d in data_list]
+        elif query is None:
+            raise ValueError("Either data_list or query must be provided")
+    
+        total = 0
+        for i in range(0, len(args_list), batch_size):
+            batch = args_list[i:i + batch_size]
+            try:
+                with self.pool.connection() as conn:
+                    with conn.cursor() as cursor:
+                        cursor.executemany(query, batch)
+                        if commit:
+                            conn.commit()
+                        total += cursor.rowcount
+            except pymysql.err.IntegrityError as e:
+                if "Duplicate entry" in str(e) and not ignore:
+                    self.log.warning(f"批量插入遇到重复,降级为逐条插入: {e}")
+                    if commit:
+                        conn.rollback()
+                    rowcount = 0
+                    for args in batch:
+                        try:
+                            self.insert_one(query, args)
+                            rowcount += 1
+                        except pymysql.err.IntegrityError as e2:
+                            if "Duplicate entry" in str(e2):
+                                self.log.debug(f"跳过重复条目: {e2}")
+                            else:
+                                self.log.error(f"插入失败: {e2}")
+                        except Exception as e2:
+                            self.log.error(f"插入失败: {e2}")
+                    total += rowcount
+                else:
+                    self.log.exception(f"数据库完整性错误: {e}")
+                    if commit:
+                        conn.rollback()
+                    raise e
+            except Exception as e:
+                self.log.exception(f"批量插入失败: {e}")
+                if commit:
+                    conn.rollback()
+                raise e
+        self.log.info(f"sql insert_many_two, Table: {table}, Total Rows: {total}")
+        return total
+
+    def insert_too_many(self, query, args_list, batch_size=1000):
+        """
+        执行批量插入语句，分片提交, 单次插入大于十万+时可用, 如果失败则降级为逐条插入
+        :param query: 插入语句
+        :param args_list: 插入参数列表
+        :param batch_size: 每次插入的条数
+        """
+        self.log.info(f"sql insert_too_many, Query: {query}, Total Rows: {len(args_list)}")
+        for i in range(0, len(args_list), batch_size):
+            batch = args_list[i:i + batch_size]
+            try:
+                with self.pool.connection() as conn:
+                    with conn.cursor() as cursor:
+                        cursor.executemany(query, batch)
+                        conn.commit()
+                        self.log.debug(f"insert_too_many -> Total Rows: {len(batch)}")
+            except Exception as e:
+                self.log.error(f"insert_too_many error. Trying single insert. Error: {e}")
+                # 当前批次降级为单条插入
+                for args in batch:
+                    self.insert_one(query, args)
+
+    def update_one(self, query, args):
+        """
+        执行单条更新语句
+        :param query: 更新语句
+        :param args: 更新参数
+        """
+        self.log.info('>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>data update_one 更新中>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>')
+        return self._execute(query, args, commit=True)
+
+    def update_all(self, query, args_list):
+        """
+        执行批量更新语句，如果失败则逐条更新
+        :param query: 更新语句
+        :param args_list: 更新参数列表
+        """
+        conn = None
+        cursor = None
+        try:
+            conn = self.pool.connection()
+            cursor = conn.cursor()
+            cursor.executemany(query, args_list)
+            conn.commit()
+            self.log.debug(f"sql update_all, SQL: {query}, Rows: {len(args_list)}")
+            self.log.info('>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>data update_all 更新中>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>')
+        except Exception as e:
+            conn.rollback()
+            self.log.error(f"Error executing query: {e}")
+            # 如果批量更新失败，则逐条更新
+            rowcount = 0
+            for args in args_list:
+                self.update_one(query, args)
+                rowcount += 1
+            self.log.debug(f'Batch update failed. Updated {rowcount} rows individually.')
+        finally:
+            if cursor:
+                cursor.close()
+            if conn:
+                conn.close()
+
+    def update_one_or_dict(self, table=None, data=None, condition=None, query=None, args=None, commit=True):
+        """
+        单条更新（支持字典或原始SQL）
+        :param table: 表名（字典模式必需）
+        :param data: 字典数据 {列名: 值}（与 query 二选一）
+        :param condition: 更新条件，支持以下格式：
+            - 字典: {"id": 1} → "WHERE id = %s"
+            - 字符串: "id = 1" → "WHERE id = 1"（需自行确保安全）
+            - 元组: ("id = %s", [1]) → "WHERE id = %s"（参数化查询）
+        :param query: 直接SQL语句（与 data 二选一）
+        :param args: SQL参数（query 模式下必需）
+        :param commit: 是否自动提交
+        :return: 影响行数
+        :raises: ValueError 参数校验失败时抛出
+        """
+        # 参数校验
+        if data is not None:
+            if not isinstance(data, dict):
+                raise ValueError("Data must be a dictionary")
+            if table is None:
+                raise ValueError("Table name is required for dictionary update")
+            if condition is None:
+                raise ValueError("Condition is required for dictionary update")
+
+            # 构建 SET 子句
+            set_clause = ", ".join([f"{self._safe_identifier(k)} = %s" for k in data.keys()])
+            set_values = list(data.values())
+
+            # 解析条件
+            condition_clause, condition_args = self._parse_condition(condition)
+            query = f"UPDATE {self._safe_identifier(table)} SET {set_clause} WHERE {condition_clause}"
+            args = set_values + condition_args
+
+        elif query is None:
+            raise ValueError("Either data or query must be provided")
+
+        # 执行更新
+        cursor = self._execute(query, args, commit)
+        # self.log.debug(
+        #     f"Updated table={table}, rows={cursor.rowcount}, query={query[:100]}...",
+        #     extra={"table": table, "rows": cursor.rowcount}
+        # )
+        return cursor.rowcount
+
+    def _parse_condition(self, condition):
+        """
+        解析条件为 (clause, args) 格式
+        :param condition: 字典/字符串/元组
+        :return: (str, list) SQL 子句和参数列表
+        """
+        if isinstance(condition, dict):
+            clause = " AND ".join([f"{self._safe_identifier(k)} = %s" for k in condition.keys()])
+            args = list(condition.values())
+        elif isinstance(condition, str):
+            clause = condition  # 注意：需调用方确保安全
+            args = []
+        elif isinstance(condition, (tuple, list)) and len(condition) == 2:
+            clause, args = condition[0], condition[1]
+            if not isinstance(args, (list, tuple)):
+                args = [args]
+        else:
+            raise ValueError("Condition must be dict/str/(clause, args)")
+        return clause, args
+
+    def update_many(self, table=None, data_list=None, condition_list=None, query=None, args_list=None, batch_size=500,
+                    commit=True):
+        """
+        批量更新（支持字典列表或原始SQL）
+        :param table: 表名（字典插入时必需）
+        :param data_list: 字典列表 [{列名: 值}]
+        :param condition_list: 条件列表（必须为字典，与data_list等长）
+        :param query: 直接SQL语句（与data_list二选一）
+        :param args_list: SQL参数列表（query使用时必需）
+        :param batch_size: 分批大小
+        :param commit: 是否自动提交
+        :return: 影响行数
+        """
+        if data_list is not None:
+            if not data_list or not isinstance(data_list[0], dict):
+                raise ValueError("Data_list must be a non-empty list of dictionaries")
+            if condition_list is None or len(data_list) != len(condition_list):
+                raise ValueError("Condition_list must be provided and match the length of data_list")
+            if not all(isinstance(cond, dict) for cond in condition_list):
+                raise ValueError("All elements in condition_list must be dictionaries")
+
+            # 获取第一个数据项和条件项的键
+            first_data_keys = set(data_list[0].keys())
+            first_cond_keys = set(condition_list[0].keys())
+
+            # 构造基础SQL
+            set_clause = ', '.join([self._safe_identifier(k) + ' = %s' for k in data_list[0].keys()])
+            condition_clause = ' AND '.join([self._safe_identifier(k) + ' = %s' for k in condition_list[0].keys()])
+            base_query = f"UPDATE {self._safe_identifier(table)} SET {set_clause} WHERE {condition_clause}"
+            total = 0
+
+            # 分批次处理
+            for i in range(0, len(data_list), batch_size):
+                batch_data = data_list[i:i + batch_size]
+                batch_conds = condition_list[i:i + batch_size]
+                batch_args = []
+
+                # 检查当前批次的结构是否一致
+                can_batch = True
+                for data, cond in zip(batch_data, batch_conds):
+                    data_keys = set(data.keys())
+                    cond_keys = set(cond.keys())
+                    if data_keys != first_data_keys or cond_keys != first_cond_keys:
+                        can_batch = False
+                        break
+                    batch_args.append(tuple(data.values()) + tuple(cond.values()))
+
+                if not can_batch:
+                    # 结构不一致，转为单条更新
+                    for data, cond in zip(batch_data, batch_conds):
+                        self.update_one_or_dict(table=table, data=data, condition=cond, commit=commit)
+                        total += 1
+                    continue
+
+                # 执行批量更新
+                try:
+                    with self.pool.connection() as conn:
+                        with conn.cursor() as cursor:
+                            cursor.executemany(base_query, batch_args)
+                            if commit:
+                                conn.commit()
+                            total += cursor.rowcount
+                            self.log.debug(f"Batch update succeeded. Rows: {cursor.rowcount}")
+                except Exception as e:
+                    if commit:
+                        conn.rollback()
+                    self.log.error(f"Batch update failed: {e}")
+                    # 降级为单条更新
+                    for args, data, cond in zip(batch_args, batch_data, batch_conds):
+                        try:
+                            self._execute(base_query, args, commit=commit)
+                            total += 1
+                        except Exception as e2:
+                            self.log.error(f"Single update failed: {e2}, Data: {data}, Condition: {cond}")
+            self.log.info(f"Total updated rows: {total}")
+            return total
+        elif query is not None:
+            # 处理原始SQL和参数列表
+            if args_list is None:
+                raise ValueError("args_list must be provided when using query")
+
+            total = 0
+            for i in range(0, len(args_list), batch_size):
+                batch_args = args_list[i:i + batch_size]
+                try:
+                    with self.pool.connection() as conn:
+                        with conn.cursor() as cursor:
+                            cursor.executemany(query, batch_args)
+                            if commit:
+                                conn.commit()
+                            total += cursor.rowcount
+                            self.log.debug(f"Batch update succeeded. Rows: {cursor.rowcount}")
+                except Exception as e:
+                    if commit:
+                        conn.rollback()
+                    self.log.error(f"Batch update failed: {e}")
+                    # 降级为单条更新
+                    for args in batch_args:
+                        try:
+                            self._execute(query, args, commit=commit)
+                            total += 1
+                        except Exception as e2:
+                            self.log.error(f"Single update failed: {e2}, Args: {args}")
+            self.log.info(f"Total updated rows: {total}")
+            return total
+        else:
+            raise ValueError("Either data_list or query must be provided")
+
+    def check_pool_health(self):
+        """
+        检查连接池中有效连接数
+
+        # 使用示例
+        # 配置 MySQL 连接池
+        sql_pool = MySQLConnectionPool(log=log)
+        if not sql_pool.check_pool_health():
+            log.error("数据库连接池异常")
+            raise RuntimeError("数据库连接池异常")
+        """
+        try:
+            with self.pool.connection() as conn:
+                conn.ping(reconnect=True)
+                return True
+        except Exception as e:
+            self.log.error(f"Connection pool health check failed: {e}")
+            return False
+
+    def close(self):
+        """
+        关闭连接池，释放所有连接
+        """
+        try:
+            if hasattr(self, 'pool') and self.pool:
+                self.pool.close()
+                self.log.info("数据库连接池已关闭")
+        except Exception as e:
+            self.log.error(f"关闭连接池失败: {e}")
+
+    @staticmethod
+    def _safe_identifier(name):
+        """SQL标识符安全校验"""
+        if not re.match(r'^[a-zA-Z_][a-zA-Z0-9_]*$', name):
+            raise ValueError(f"Invalid SQL identifier: {name}")
+        return name
+
+
+if __name__ == '__main__':
+    sql_pool = MySQLConnectionPool()
+    data_dic = {'card_type_id': 111, 'card_type_name': '补充包 继承的意志【OPC-13】', 'card_type_position': 964,
+                'card_id': 5284, 'card_name': '蒙奇·D·路飞', 'card_number': 'OP13-001', 'card_rarity': 'L',
+                'card_img': 'https://source.windoent.com/OnePiecePc/Picture/1757929283612OP13-001.png',
+                'card_life': '4', 'card_attribute': '打', 'card_power': '5000', 'card_attack': '-',
+                'card_color': '红/绿', 'subscript': 4, 'card_features': '超新星/草帽一伙',
+                'card_text_desc': '【咚!!×1】【对方的攻击时】我方处于活跃状态的咚!!不多于5张的场合，可以将我方任意张数的咚!!转为休息状态。每有1张转为休息状态的咚!!，本次战斗中，此领袖或我方最多1张拥有《草帽一伙》特征的角色力量+2000。',
+                'card_offer_type': '补充包 继承的意志【OPC-13】', 'crawler_language': '简中'}
+    sql_pool.insert_one_or_dict(table="one_piece_record", data=data_dic)

pokecolor_spider/pokecolor_history_spider.py

@@ -0,0 +1,223 @@
+# -*- coding: utf-8 -*-
+# Author : Charley
+# Python : 3.10.8
+# Date   : 2026/3/17 14:57
+import inspect
+import requests
+import user_agent
+from loguru import logger
+from mysql_pool import MySQLConnectionPool
+from tenacity import retry, stop_after_attempt, wait_fixed
+
+logger.remove()
+logger.add("./logs/{time:YYYYMMDD}.log", encoding='utf-8', rotation="00:00",
+           format="[{time:YYYY-MM-DD HH:mm:ss.SSS}] {level} {message}",
+           level="DEBUG", retention="7 day")
+"""
+https://pokecolor.cn/h5/pages-card/card/history
+"""
+
+headers = {
+    "user-agent": user_agent.generate_user_agent()
+}
+
+
+def after_log(retry_state):
+    """
+    retry 回调
+    :param retry_state: RetryCallState 对象
+    """
+    # 检查 args 是否存在且不为空
+    if retry_state.args and len(retry_state.args) > 0:
+        log = retry_state.args[0]  # 获取传入的 logger
+    else:
+        log = logger  # 使用全局 logger
+
+    if retry_state.outcome.failed:
+        log.warning(
+            f"Function '{retry_state.fn.__name__}', Attempt {retry_state.attempt_number} Times")
+    else:
+        log.info(f"Function '{retry_state.fn.__name__}', Attempt {retry_state.attempt_number} succeeded")
+
+
+@retry(stop=stop_after_attempt(5), wait=wait_fixed(1), after=after_log)
+def get_proxys(log):
+    """
+    获取代理配置
+
+    :param log: 日志对象
+    :return: 代理字典
+    """
+    tunnel = "x371.kdltps.com:15818"
+    kdl_username = "t13753103189895"
+    kdl_password = "o0yefv6z"
+    try:
+        proxies = {
+            "http": "http://%(user)s:%(pwd)s@%(proxy)s/" % {"user": kdl_username, "pwd": kdl_password, "proxy": tunnel},
+            "https": "http://%(user)s:%(pwd)s@%(proxy)s/" % {"user": kdl_username, "pwd": kdl_password, "proxy": tunnel}
+        }
+        return proxies
+    except Exception as e:
+        log.error(f"Error getting proxy: {e}")
+        raise e
+
+
+@retry(stop=stop_after_attempt(5), wait=wait_fixed(1), after=after_log)
+def get_sold_single_page(log, page_num=1):
+    """
+    获取已售列表单页数据
+
+    :param log: logger对象
+    :param page_num: 页码
+    :return: 订单列表和总条数
+    """
+    log.debug(f"Fetching page {page_num}...........")
+    url = "https://api.pokecolor.cn/api/h5/trade/sellorder/"
+    params = {
+        "page": str(page_num),
+        "page_size": "20",
+        "order_by": "-order_deal_on",
+        "status_filter": "sold_finish"
+    }
+    response = requests.get(url, headers=headers, params=params, proxies=get_proxys(log), timeout=22)
+    data = response.json()
+
+    if data.get("code") == 100 and data.get("msg") == "ok":
+        results = data.get("data", {}).get("results", [])
+        total_count = data.get("data", {}).get("count", 0)
+        log.info(f"Successfully fetched page {page_num} with {len(results)} items")
+        return results, total_count
+    else:
+        log.error(f"Error fetching page {page_num}: {data}")
+        return None, None
+
+
+def parse_list_results(log, results, sql_pool):
+    """
+    解析API返回的订单数据
+
+    :param log: logger对象
+    :param results: 订单数据列表
+    :param sql_pool: 数据库连接池对象
+    """
+    log.debug("Parsing order results...........")
+    parsed_orders = []
+
+    def convert_iso_time(time_str):
+        """
+        从 ISO 8601 时间格式中提取日期部分（年月日）
+        :param time_str: ISO 格式时间字符串（如：2026-03-16T22:34:17.338857+08:00）
+        :return: 日期字符串（YYYY-MM-DD）或 None
+        """
+        if not time_str:
+            return None
+        try:
+            # 使用 split('T') 分割，取日期部分
+            return time_str.split('T')[0]
+        except (IndexError, AttributeError):
+            return None
+
+    for order in results:
+        # 解析订单信息
+        parsed_order = {
+            'uid': order.get('uid'),
+            'image': order.get('image'),
+            'title': order.get('display_title'),
+            # 'status': order.get('status'),
+            'display_status': order.get('display_status'),
+            # 'sell_link': order.get('sell_link'),
+            'price': order.get('price'),
+            # 'start_bid_price': order.get('start_bid_price'),
+            'order_deal_on': convert_iso_time(order.get('order_deal_on')),
+            # 'bid_total': order.get('bid_total'),
+            'order_finish_on': convert_iso_time(order.get('order_finish_on')),
+            'card_category': order.get('card_category'),
+            'rate_type': order.get('rate_type'),
+            'rate_score_display': order.get('rate_score_display'),
+        }
+        special_performance = order.get('special_performance')
+        if special_performance:
+            parsed_order['sell_id'] = special_performance.get('id')
+            parsed_order['sell_name'] = special_performance.get('name')
+        else:
+            parsed_order['sell_id'] = None
+            parsed_order['sell_name'] = None
+
+        # print(parsed_order)
+        parsed_orders.append(parsed_order)
+
+    if parsed_orders:
+        sql_pool.insert_many(table="pokecolor_sold_record", data_list=parsed_orders, ignore=True)
+
+    return parsed_orders
+
+
+def get_sold_list(log, sql_pool):
+    """
+    获取已售列表数据
+
+    :param log: logger对象
+    :param sql_pool: 数据库连接池对象
+    """
+    page_size = 20
+    total_collected = 0
+    page = 1
+
+    while True:
+        result = get_sold_single_page(log, page)
+
+        if result[0] is None:
+            log.error(f"Error fetching page {page}, stopping...")
+            break
+
+        orders, total_count = result
+        total_collected += len(parse_list_results(log, orders, sql_pool))
+
+        # 第一页时打印总数
+        if page == 1:
+            total_pages = (total_count + page_size - 1) // page_size
+            log.info(f"Total items: {total_count}, Total pages: {total_pages}")
+
+        if len(orders) < page_size:
+            log.info(f"Less than {page_size} items on page {page}, stopping...")
+            break
+
+        # 检查是否还有下一页
+        if page * page_size >= total_count:
+            log.info(f"No more pages, stopping...")
+            break
+
+        page += 1
+
+    log.info(f"Total orders collected: {total_collected}")
+    return total_collected
+
+
+@retry(stop=stop_after_attempt(100), wait=wait_fixed(3600), after=after_log)
+def kl_main(log):
+    """
+    主函数
+
+    :param log: logger对象
+    """
+    log.info(
+        f'开始运行 {inspect.currentframe().f_code.co_name} 爬虫任务....................................................')
+
+    # 配置 MySQL 连接池
+    sql_pool = MySQLConnectionPool(log=log)
+    if not sql_pool.check_pool_health():
+        log.error("数据库连接池异常")
+        raise RuntimeError("数据库连接池异常")
+
+    try:
+        get_sold_list(log, sql_pool)
+    except Exception as e:
+        log.error(f'{inspect.currentframe().f_code.co_name} error: {e}')
+    finally:
+        log.info(f'爬虫程序 {inspect.currentframe().f_code.co_name} 运行结束,等待下一轮的采集任务............')
+
+
+if __name__ == '__main__':
+    kl_main(log=logger)
+    # get_details('XS2601281100b85329')
+

pokecolor_spider/pokecolor_new_daily_spider.py

@@ -0,0 +1,241 @@
+# -*- coding: utf-8 -*-
+# Author : Charley
+# Python : 3.10.8
+# Date   : 2026/3/17 14:57
+import time
+import inspect
+import requests
+import schedule
+import user_agent
+from loguru import logger
+from mysql_pool import MySQLConnectionPool
+from tenacity import retry, stop_after_attempt, wait_fixed
+
+logger.remove()
+logger.add("./logs/{time:YYYYMMDD}.log", encoding='utf-8', rotation="00:00",
+           format="[{time:YYYY-MM-DD HH:mm:ss.SSS}] {level} {message}",
+           level="DEBUG", retention="7 day")
+"""
+https://pokecolor.cn/h5/pages-card/card/history
+"""
+
+headers = {
+    "user-agent": user_agent.generate_user_agent()
+}
+
+
+def after_log(retry_state):
+    """
+    retry 回调
+    :param retry_state: RetryCallState 对象
+    """
+    # 检查 args 是否存在且不为空
+    if retry_state.args and len(retry_state.args) > 0:
+        log = retry_state.args[0]  # 获取传入的 logger
+    else:
+        log = logger  # 使用全局 logger
+
+    if retry_state.outcome.failed:
+        log.warning(
+            f"Function '{retry_state.fn.__name__}', Attempt {retry_state.attempt_number} Times")
+    else:
+        log.info(f"Function '{retry_state.fn.__name__}', Attempt {retry_state.attempt_number} succeeded")
+
+
+@retry(stop=stop_after_attempt(5), wait=wait_fixed(1), after=after_log)
+def get_proxys(log):
+    """
+    获取代理配置
+
+    :param log: 日志对象
+    :return: 代理字典
+    """
+    tunnel = "x371.kdltps.com:15818"
+    kdl_username = "t13753103189895"
+    kdl_password = "o0yefv6z"
+    try:
+        proxies = {
+            "http": "http://%(user)s:%(pwd)s@%(proxy)s/" % {"user": kdl_username, "pwd": kdl_password, "proxy": tunnel},
+            "https": "http://%(user)s:%(pwd)s@%(proxy)s/" % {"user": kdl_username, "pwd": kdl_password, "proxy": tunnel}
+        }
+        return proxies
+    except Exception as e:
+        log.error(f"Error getting proxy: {e}")
+        raise e
+
+
+@retry(stop=stop_after_attempt(5), wait=wait_fixed(1), after=after_log)
+def get_sold_single_page(log, page_num=1):
+    """
+    获取已售列表单页数据
+
+    :param log: logger对象
+    :param page_num: 页码
+    :return: 订单列表和总条数
+    """
+    log.debug(f"Fetching page {page_num}...........")
+    url = "https://api.pokecolor.cn/api/h5/trade/sellorder/"
+    params = {
+        "page": str(page_num),
+        "page_size": "20",
+        "order_by": "-order_deal_on",
+        "status_filter": "sold_finish"
+    }
+    response = requests.get(url, headers=headers, params=params, proxies=get_proxys(log), timeout=22)
+    data = response.json()
+
+    if data.get("code") == 100 and data.get("msg") == "ok":
+        results = data.get("data", {}).get("results", [])
+        total_count = data.get("data", {}).get("count", 0)
+        log.info(f"Successfully fetched page {page_num} with {len(results)} items")
+        return results, total_count
+    else:
+        log.error(f"Error fetching page {page_num}: {data}")
+        return None, None
+
+
+def parse_list_results(log, results, sql_pool):
+    """
+    解析API返回的订单数据
+
+    :param log: logger对象
+    :param results: 订单数据列表
+    :param sql_pool: 数据库连接池对象
+    """
+    log.debug("Parsing order results...........")
+    parsed_orders = []
+
+    def convert_iso_time(time_str):
+        """
+        从 ISO 8601 时间格式中提取日期部分（年月日）
+        :param time_str: ISO 格式时间字符串（如：2026-03-16T22:34:17.338857+08:00）
+        :return: 日期字符串（YYYY-MM-DD）或 None
+        """
+        if not time_str:
+            return None
+        try:
+            # 使用 split('T') 分割，取日期部分
+            return time_str.split('T')[0]
+        except (IndexError, AttributeError):
+            return None
+
+    for order in results:
+        # 解析订单信息
+        parsed_order = {
+            'uid': order.get('uid'),
+            'image': order.get('image'),
+            'title': order.get('display_title'),
+            # 'status': order.get('status'),
+            'display_status': order.get('display_status'),
+            # 'sell_link': order.get('sell_link'),
+            'price': order.get('price'),
+            # 'start_bid_price': order.get('start_bid_price'),
+            'order_deal_on': convert_iso_time(order.get('order_deal_on')),
+            # 'bid_total': order.get('bid_total'),
+            'order_finish_on': convert_iso_time(order.get('order_finish_on')),
+            'card_category': order.get('card_category'),
+            'rate_type': order.get('rate_type'),
+            'rate_score_display': order.get('rate_score_display'),
+        }
+        special_performance = order.get('special_performance')
+        if special_performance:
+            parsed_order['sell_id'] = special_performance.get('id')
+            parsed_order['sell_name'] = special_performance.get('name')
+        else:
+            parsed_order['sell_id'] = None
+            parsed_order['sell_name'] = None
+
+        # print(parsed_order)
+        parsed_orders.append(parsed_order)
+
+    if parsed_orders:
+        sql_pool.insert_many(table="pokecolor_sold_record", data_list=parsed_orders, ignore=True)
+
+    return parsed_orders
+
+
+def get_sold_list(log, sql_pool):
+    """
+    获取已售列表数据
+
+    :param log: logger对象
+    :param sql_pool: 数据库连接池对象
+    """
+    page_size = 20
+    total_collected = 0
+    page = 1
+    max_pages = 100
+
+    while page <= max_pages:
+        result = get_sold_single_page(log, page)
+
+        if result[0] is None:
+            log.error(f"Error fetching page {page}, stopping...")
+            break
+
+        orders, total_count = result
+        total_collected += len(parse_list_results(log, orders, sql_pool))
+
+        # 第一页时打印总数
+        if page == 1:
+            total_pages = (total_count + page_size - 1) // page_size
+            log.info(f"Total items: {total_count}, Total pages: {total_pages}")
+
+        if len(orders) < page_size:
+            log.info(f"Less than {page_size} items on page {page}, stopping...")
+            break
+
+        # 检查是否还有下一页
+        if page * page_size >= total_count:
+            log.info(f"No more pages, stopping...")
+            break
+
+        page += 1
+
+    log.info(f"Total orders collected: {total_collected}")
+    return total_collected
+
+
+@retry(stop=stop_after_attempt(100), wait=wait_fixed(3600), after=after_log)
+def kl_main(log):
+    """
+    主函数
+
+    :param log: logger对象
+    """
+    log.info(
+        f'开始运行 {inspect.currentframe().f_code.co_name} 爬虫任务....................................................')
+
+    # 配置 MySQL 连接池
+    sql_pool = MySQLConnectionPool(log=log)
+    if not sql_pool.check_pool_health():
+        log.error("数据库连接池异常")
+        raise RuntimeError("数据库连接池异常")
+
+    try:
+        get_sold_list(log, sql_pool)
+    except Exception as e:
+        log.error(f'{inspect.currentframe().f_code.co_name} error: {e}')
+    finally:
+        log.info(f'爬虫程序 {inspect.currentframe().f_code.co_name} 运行结束,等待下一轮的采集任务............')
+
+
+def schedule_task():
+    """
+    爬虫模块 定时任务 的启动文件
+    """
+    # 立即运行一次任务
+    # kl_main(log=logger)
+
+    # 设置定时任务
+    schedule.every().day.at("00:01").do(kl_main, log=logger)
+
+    while True:
+        schedule.run_pending()
+        time.sleep(1)
+
+
+if __name__ == '__main__':
+    # kl_main(log=logger)
+    # get_details('XS2601281100b85329')
+    schedule_task()

pokecolor_spider/requirements.txt

@@ -0,0 +1,9 @@
+-i https://mirrors.aliyun.com/pypi/simple/
+DBUtils==3.1.2
+loguru==0.7.3
+PyMySQL==1.1.2
+PyYAML==6.0.1
+requests==2.32.5
+schedule==1.2.2
+tenacity==9.1.2
+user_agent==0.1.14