This commit is contained in:
whm
2025-11-18 12:13:34 +08:00

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@@ -337,6 +337,11 @@ class OriginalDataService(BaseService[OriginalData]):
table_name = self._get_table_name(account_id) table_name = self._get_table_name(account_id)
# 检查是否已在事务中(避免重复开始事务)
in_transaction = db.in_transaction()
# 如果不在事务中,才需要手动管理事务
if not in_transaction:
for attempt in range(2): # 最多重试1次 for attempt in range(2): # 最多重试1次
try: try:
db.begin() db.begin()
@@ -344,46 +349,104 @@ class OriginalDataService(BaseService[OriginalData]):
failed_count = 0 failed_count = 0
failed_items = [] failed_items = []
nyid = str(data[0].get('NYID')) # 统一转换为字符串 # 执行数据导入操作
# 检查该期数数据是否已存在 success_count = self._execute_import(db, table_name, data, account_id)
check_query = text(f"SELECT COUNT(*) as cnt FROM `{table_name}` WHERE NYID = :nyid") db.commit()
is_exists = db.execute(check_query, {"nyid": nyid}).fetchone()[0] logger.info(f"Batch import original data completed. Success: {success_count}, Failed: {failed_count}")
break
if is_exists > 0: except Exception as e:
db.rollback() db.rollback()
logger.warning(f"Batch import attempt {attempt + 1} failed: {str(e)}")
if attempt == 1: # 最后一次重试失败
logger.error("Batch import original data failed after retries")
return {
'success': False,
'message': f'批量导入失败: {str(e)}',
'total_count': total_count,
'success_count': 0,
'failed_count': total_count,
'failed_items': failed_items
}
else:
# 如果已在事务中,直接执行操作(不管理事务)
try:
success_count = self._execute_import(db, table_name, data, account_id)
logger.info(f"Batch import original data completed in existing transaction. Success: {success_count}")
except Exception as e:
logger.error(f"Batch import failed in existing transaction: {str(e)}")
# 抛出异常,让外部处理事务回滚
raise
return { return {
'success': True, 'success': True,
'message': '数据已存在', 'message': '批量导入完成' if failed_count == 0 else f'部分导入失败',
'total_count': 0, 'total_count': total_count,
'success_count': success_count, 'success_count': success_count,
'failed_count': failed_count, 'failed_count': failed_count,
'failed_items': failed_items 'failed_items': failed_items
} }
def _execute_import(self, db: Session, table_name: str, data: List, account_id: int) -> int:
"""执行数据导入操作(抽取的公共逻辑)"""
logger.info(f"Starting batch import into {table_name}, total records: {len(data)}")
# ===== 性能优化:批量查询沉降数据 ===== # ===== 性能优化:批量查询沉降数据 =====
# 统一转换为字符串处理数据库NYID字段是VARCHAR类型 # 统一转换为字符串处理数据库NYID字段是VARCHAR类型
nyid_list = list(set(str(item.get('NYID')) for item in data if item.get('NYID'))) nyid_list = list(set(str(item.get('NYID')) for item in data if item.get('NYID')))
from ..models.settlement_data import SettlementData
settlements = db.query(SettlementData).filter(SettlementData.NYID.in_(nyid_list)).all() settlements = db.query(SettlementData).filter(SettlementData.NYID.in_(nyid_list)).all()
settlement_map = {s.NYID: s for s in settlements} settlement_map = {s.NYID: s for s in settlements}
missing_nyids = set(nyid_list) - set(settlement_map.keys()) missing_nyids = set(nyid_list) - set(settlement_map.keys())
if missing_nyids: if missing_nyids:
logger.warning(f"[批量导入原始数据] 批量查询settlement数据失败 Nyid: {list(missing_nyids)}") raise Exception(f'以下期数在沉降表中不存在: {list(missing_nyids)}')
db.rollback()
return { # ===== 性能优化批量查询现有原始数据IN查询=====
'success': False, # 使用组合键 (NYID, sort) 查询现有数据,过滤重复数据
'message': f'以下期数在沉降表中不存在: {list(missing_nyids)}', existing_data = db.query(text("*")).from_statement(
'total_count': total_count, text(f"SELECT * FROM `{table_name}` WHERE account_id = :account_id")
'success_count': 0, ).params(account_id=account_id).all()
'failed_count': total_count,
'failed_items': [] # 使用组合键创建查找表key = f"{NYID}_{sort}"
} existing_map = {
f"{item[7]}_{item[8]}": item # NYID是第8个字段索引7sort是第9个字段索引8
for item in existing_data
}
logger.info(f"Found {len(existing_data)} existing records in {table_name}")
# ===== 批量处理插入和跳过 =====
to_insert = []
skipped_count = 0
for item_data in data:
nyid = str(item_data.get('NYID')) # 统一转换为字符串
sort = item_data.get('sort')
# 构建组合键
key = f"{nyid}_{sort}"
if key in existing_map:
# 数据已存在,跳过
# logger.info(f"Skip existing data: NYID {nyid}, sort {sort}")
skipped_count += 1
else:
# 记录需要插入的数据
to_insert.append(item_data)
# logger.info(f"Skip existing data: {skipped_count} duplicates found so far")
logger.info(f"Filtered {skipped_count} duplicate records, {len(to_insert)} new records to insert")
# ===== 执行批量插入 =====
if not to_insert:
logger.info("No new records to insert, all data already exists")
return 0
# ===== 性能优化:使用批量插入 =====
# 将数据分组每组1000条MySQL默认支持 # 将数据分组每组1000条MySQL默认支持
batch_size = 1000 batch_size = 1000
for i in range(0, len(data), batch_size): total_inserted = 0
batch_data = data[i:i + batch_size] for i in range(0, len(to_insert), batch_size):
batch_data = to_insert[i:i + batch_size]
# 构建批量参数 # 构建批量参数
values_list = [] values_list = []
@@ -412,32 +475,8 @@ class OriginalDataService(BaseService[OriginalData]):
""" """
final_sql = text(insert_sql) final_sql = text(insert_sql)
db.execute(final_sql, params) db.execute(final_sql, params)
success_count += len(batch_data) total_inserted += len(batch_data)
logger.info(f"Inserted batch {i//batch_size + 1}: {len(batch_data)} records") logger.info(f"Inserted batch {i//batch_size + 1}: {len(batch_data)} records")
db.commit() logger.info(f"Batch import completed: {total_inserted} records inserted, {skipped_count} duplicates skipped")
logger.info(f"Batch import original data completed. Success: {success_count}, Failed: {failed_count}") return total_inserted
break
except Exception as e:
db.rollback()
logger.warning(f"Batch import attempt {attempt + 1} failed: {str(e)}")
if attempt == 1: # 最后一次重试失败
logger.error("Batch import original data failed after retries")
return {
'success': False,
'message': f'批量导入失败: {str(e)}',
'total_count': total_count,
'success_count': 0,
'failed_count': total_count,
'failed_items': failed_items
}
return {
'success': True,
'message': '批量导入完成' if failed_count == 0 else f'部分导入失败',
'total_count': total_count,
'success_count': success_count,
'failed_count': failed_count,
'failed_items': failed_items
}