222 lines
8.0 KiB
Python
222 lines
8.0 KiB
Python
import time
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import os
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import sys
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import pyodbc
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import config
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import db_utils
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import logging
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from logging.handlers import TimedRotatingFileHandler
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from collections import defaultdict
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# ================= 日志系统配置 (新增) =================
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def setup_logger():
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"""
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配置双向日志系统：控制台输出 + 按天轮转的文件日志
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"""
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# 1. 确保日志目录存在
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log_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'log')
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if not os.path.exists(log_dir):
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os.makedirs(log_dir)
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# 2. 创建 Logger
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logger = logging.getLogger("SyncService")
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logger.setLevel(logging.INFO)
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logger.handlers = [] # 清除旧句柄，防止重复打印
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# 3. 文件处理器 (按天轮转)
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# filename: 正在写入的日志名
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# when='midnight': 每天午夜轮转
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# interval=1: 间隔1天
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# backupCount=30: 保留最近30个文件
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log_file_path = os.path.join(log_dir, 'sync_service.log')
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file_handler = TimedRotatingFileHandler(
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log_file_path, when='midnight', interval=1, backupCount=30, encoding='utf-8'
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)
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file_handler.suffix = "%Y-%m-%d" # 轮转后的文件名后缀
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# 文件日志格式：[时间] [级别] 消息
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file_fmt = logging.Formatter('%(asctime)s - [%(levelname)s] - %(message)s')
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file_handler.setFormatter(file_fmt)
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# 4. 控制台处理器 (屏幕输出)
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console_handler = logging.StreamHandler(sys.stdout)
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# 控制台日志格式：[时间] 消息 (保持简洁)
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console_fmt = logging.Formatter('%(asctime)s - %(message)s', datefmt='%H:%M:%S')
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console_handler.setFormatter(console_fmt)
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# 5. 添加处理器
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logger.addHandler(file_handler)
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logger.addHandler(console_handler)
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return logger
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# 初始化全局 Logger
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logger = setup_logger()
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# ================= 辅助函数 =================
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def clean_access_path(raw_addr):
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"""清洗 TableAddress 字段"""
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if not raw_addr: return ""
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s = str(raw_addr).strip()
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if s.upper().startswith(";DATABASE="): return s[10:]
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if s.upper().startswith("LOCAL:"): return s[6:]
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return s
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def get_norm_path(path):
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"""获取标准化路径"""
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if not path: return ""
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return os.path.normpath(path).lower()
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# ================= 主逻辑 =================
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def process_logs():
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sql_conn = db_utils.get_sql_conn()
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sql_cursor = sql_conn.cursor()
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sql_cursor.fast_executemany = True
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cols = config.LOG_TABLE_CONFIG
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# --- 0. 预处理配置映射 ---
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normalized_mapping = {}
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for cfg_path, cfg_tables in config.SYNC_MAPPING.items():
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norm_key = get_norm_path(cfg_path)
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normalized_mapping[norm_key] = {
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'original_path': cfg_path,
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'tables': cfg_tables
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}
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try:
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log_full_name = db_utils.fmt_table(cols['schema'], cols['table_name'])
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# --- 1. 读取日志 ---
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query_log = f"""
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SELECT TOP 1000
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{cols['col_log_id']},
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{cols['col_table_name']},
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{cols['col_record_id']},
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{cols['col_address']}
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FROM {log_full_name}
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WHERE {cols['col_synced']} = 0
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AND TableType = 'LINKED_ACCESS'
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ORDER BY {cols['col_log_id']} ASC
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"""
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sql_cursor.execute(query_log)
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logs = sql_cursor.fetchall()
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if not logs:
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return False
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logger.info(f"📥 收到 {len(logs)} 条链接表变更日志...")
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# --- 2. 任务分组 ---
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tasks = defaultdict(lambda: defaultdict(lambda: {'record_ids': set(), 'log_ids': []}))
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for row in logs:
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log_id, acc_table, record_id, raw_address = row
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clean_path = clean_access_path(raw_address)
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norm_lookup_key = get_norm_path(clean_path)
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# 校验配置
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if norm_lookup_key not in normalized_mapping:
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# 记录一条警告日志，但不刷屏
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logger.warning(f"忽略未配置的文件路径: {clean_path}")
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continue
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mapping_node = normalized_mapping[norm_lookup_key]
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if acc_table not in mapping_node['tables']:
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logger.warning(f"忽略未配置的表: {acc_table} (在文件 {os.path.basename(clean_path)} 中)")
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continue
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tasks[clean_path][acc_table]['record_ids'].add(record_id)
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tasks[clean_path][acc_table]['log_ids'].append(log_id)
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# --- 3. 执行同步循环 ---
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for file_path, tables_data in tasks.items():
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if not os.path.exists(file_path):
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logger.error(f"无法访问文件: {file_path}")
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continue
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try:
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acc_conn = db_utils.get_access_conn(file_path)
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acc_cursor = acc_conn.cursor()
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except Exception as conn_err:
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logger.error(f"连接 Access 失败 [{file_path}]: {conn_err}")
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continue
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norm_key = get_norm_path(file_path)
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config_node = normalized_mapping[norm_key]
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for acc_table, data in tables_data.items():
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record_ids = list(data['record_ids'])
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log_ids = data['log_ids']
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target_conf = config_node['tables'][acc_table]
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target_schema = target_conf['target_schema']
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target_table = target_conf['target_table']
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pk_col = target_conf['pk_col']
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target_full_name = db_utils.fmt_table(target_schema, target_table)
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try:
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ids_placeholders = ','.join(['?'] * len(record_ids))
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# A. Access 读取
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acc_sql = f"SELECT * FROM [{acc_table}] WHERE [{pk_col}] IN ({ids_placeholders})"
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acc_cursor.execute(acc_sql, record_ids)
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new_rows = acc_cursor.fetchall()
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acc_cols = [col[0] for col in acc_cursor.description]
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# B. SQL Server 写入
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del_sql = f"DELETE FROM {target_full_name} WHERE [{pk_col}] IN ({ids_placeholders})"
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sql_cursor.execute(del_sql, record_ids)
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if new_rows:
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insert_sql = db_utils.generate_insert_sql(target_schema, target_table, acc_cols)
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try: sql_cursor.execute(f"SET IDENTITY_INSERT {target_full_name} ON")
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except: pass
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sql_cursor.executemany(insert_sql, new_rows)
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try: sql_cursor.execute(f"SET IDENTITY_INSERT {target_full_name} OFF")
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except: pass
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# C. 更新日志状态
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log_placeholders = ','.join(['?'] * len(log_ids))
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update_log_sql = f"""
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UPDATE {log_full_name}
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SET {cols['col_synced']} = 1
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WHERE {cols['col_log_id']} IN ({log_placeholders})
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"""
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sql_cursor.execute(update_log_sql, log_ids)
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sql_conn.commit()
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logger.info(f"✅ 同步成功: {target_table} 更新 {len(record_ids)} 条 (来源: {os.path.basename(file_path)})")
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except Exception as tbl_err:
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logger.error(f"处理表 {acc_table} 异常: {tbl_err}")
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sql_conn.rollback()
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acc_conn.close()
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return True
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except Exception as e:
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logger.critical(f"全局严重异常: {e}")
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return False
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finally:
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try: sql_conn.close()
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except: pass
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if __name__ == "__main__":
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logger.info("=== 增量同步服务已启动 (日志模式: log/sync_service.log) ===")
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while True:
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try:
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has_work = process_logs()
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time.sleep(0.5 if has_work else config.POLL_INTERVAL)
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except KeyboardInterrupt:
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logger.info("收到停止指令，服务正在关闭...")
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break
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except Exception as e:
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logger.critical(f"主循环崩溃: {e}")
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time.sleep(5) # 防止死循环刷屏 |