初始化项目：数据同步服务源码与文档

- src: config_loader / source_watcher / excel_parser / sync_writer / runner
- 169 Excel 全量同步至 114 SQL Server + Access 生产库
- 新增 .gitignore（忽略 venv、日志、数据、含凭据的 config.yaml 等）
- 新增 README.md（用途、安装、配置、运行模式、部署说明）

src/sync_writer.py

@@ -0,0 +1,87 @@
+"""全量同步写入：SQL Server (TRUNCATE+INSERT) + Access (DELETE+INSERT)。"""
+import logging
+from datetime import datetime
+
+import pyodbc
+
+from .config_loader import build_sql_connstr, build_access_connstr
+
+logger = logging.getLogger(__name__)
+
+
+def _build_insert(table_expr, fields, import_col):
+    """构造 INSERT SQL。table_expr 为完整表表达式（含 schema/方括号）。"""
+    cols = list(fields) + [import_col]
+    col_list = ",".join(f"[{c}]" for c in cols)
+    placeholders = ",".join(["?"] * len(cols))
+    return f"INSERT INTO {table_expr} ({col_list}) VALUES ({placeholders})"
+
+
+def _to_rows(records, fields, import_time):
+    return [tuple(r.get(c) for c in fields) + (import_time,) for r in records]
+
+
+def sync_sql_server(cfg, records, fields, import_time):
+    if not records:
+        logger.warning("SQL Server: 无数据，跳过")
+        return
+    s = cfg["sql_server"]
+    table_expr = f"{s['schema']}.[{s['table']}]"   # procurementVisibilityHub.[请购执行]
+    import_col = cfg.get("auto_fields", {}).get("import_time_field", "导入时间")
+    insert_sql = _build_insert(table_expr, fields, import_col)
+    rows = _to_rows(records, fields, import_time)
+    batch = cfg.get("sync", {}).get("batch_size", 1000)
+
+    cn = pyodbc.connect(build_sql_connstr(cfg), autocommit=False)
+    try:
+        cur = cn.cursor()
+        logger.info("SQL Server: 清空 %s", table_expr)
+        try:
+            cur.execute(f"TRUNCATE TABLE {table_expr}")
+        except pyodbc.Error as e:
+            logger.warning("TRUNCATE 失败(%s)，改用 DELETE", e)
+            cur.execute(f"DELETE FROM {table_expr}")
+        cur.fast_executemany = True
+        for i in range(0, len(rows), batch):
+            cur.executemany(insert_sql, rows[i:i + batch])
+            logger.info("SQL Server: 已插入 %d/%d", min(i + batch, len(rows)), len(rows))
+        cn.commit()
+        logger.info("SQL Server: 完成，共 %d 行", len(rows))
+    except Exception:
+        cn.rollback()
+        raise
+    finally:
+        cn.close()
+
+
+def sync_access(cfg, records, fields, import_time):
+    if not records:
+        logger.warning("Access: 无数据，跳过")
+        return
+    a = cfg["access"]
+    table_expr = f"[{a['table']}]"   # [procurementVisibilityHub_请购执行]
+    import_col = cfg.get("auto_fields", {}).get("import_time_field", "导入时间")
+    insert_sql = _build_insert(table_expr, fields, import_col)
+    rows = _to_rows(records, fields, import_time)
+    batch = cfg.get("sync", {}).get("batch_size", 1000)
+
+    cn = pyodbc.connect(build_access_connstr(cfg), autocommit=True)
+    try:
+        cur = cn.cursor()
+        logger.info("Access: 清空 %s", table_expr)
+        cur.execute(f"DELETE FROM {table_expr}")
+        total = len(rows)
+        for i in range(0, total, batch):
+            cur.executemany(insert_sql, rows[i:i + batch])
+            logger.info("Access: 已插入 %d/%d", min(i + batch, total), total)
+        logger.info("Access: 完成，共 %d 行", total)
+    finally:
+        cn.close()
+
+
+def sync_all(cfg, records, fields):
+    import_time = datetime.now().replace(microsecond=0)
+    logger.info("=== 开始全量同步 导入时间=%s 数据=%d 行 ===", import_time, len(records))
+    sync_sql_server(cfg, records, fields, import_time)
+    sync_access(cfg, records, fields, import_time)
+    logger.info("=== 同步完成 ===")