修复统计数据 API 中的数据库查询方法,优化性能和准确性
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@@ -134,7 +134,7 @@ async def _get_summary_statistics(start_time: datetime, end_time: datetime) -> S
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func.sum(col(ModelUsage.total_tokens)).label("total_tokens"),
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func.avg(col(ModelUsage.time_cost)).label("avg_response_time"),
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).where(col(ModelUsage.timestamp) >= start_time, col(ModelUsage.timestamp) <= end_time)
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result = session.execute(statement).first()
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result = session.exec(statement).first()
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if result:
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total_requests, total_cost, total_tokens, avg_response_time = result
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@@ -151,13 +151,13 @@ async def _get_summary_statistics(start_time: datetime, end_time: datetime) -> S
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col(OnlineTime.end_timestamp) >= start_time,
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)
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)
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online_records = session.execute(statement).scalars().all()
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online_records = session.exec(statement).all()
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for record in online_records:
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start = max(record.start_timestamp, start_time)
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end = min(record.end_timestamp, end_time)
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if end > start:
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summary.online_time += (end - start).total_seconds()
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for record in online_records:
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start = max(record.start_timestamp, start_time)
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end = min(record.end_timestamp, end_time)
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if end > start:
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summary.online_time += (end - start).total_seconds()
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# 查询消息数量 - 使用聚合优化
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with get_db_session() as session:
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@@ -165,7 +165,7 @@ async def _get_summary_statistics(start_time: datetime, end_time: datetime) -> S
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col(Messages.timestamp) >= start_time,
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col(Messages.timestamp) <= end_time,
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)
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total_messages = session.execute(statement).scalar()
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total_messages = session.exec(statement).one()
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summary.total_messages = int(total_messages or 0)
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# 统计回复数量
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@@ -175,7 +175,7 @@ async def _get_summary_statistics(start_time: datetime, end_time: datetime) -> S
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col(Messages.timestamp) <= end_time,
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col(Messages.reply_to).is_not(None),
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)
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total_replies = session.execute(statement).scalar()
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total_replies = session.exec(statement).one()
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summary.total_replies = int(total_replies or 0)
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# 计算派生指标
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@@ -198,26 +198,26 @@ async def _get_model_statistics(start_time: datetime) -> list[ModelStatistics]:
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)
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with get_db_session() as session:
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rows = session.execute(statement).all()
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rows = session.exec(statement).all()
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aggregates: dict[str, dict[str, float | int]] = {}
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for record in rows:
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model_name = record.model_assign_name or record.model_name or "unknown"
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if model_name not in aggregates:
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aggregates[model_name] = {
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"request_count": 0,
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"total_cost": 0.0,
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"total_tokens": 0,
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"total_time_cost": 0.0,
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"time_cost_count": 0,
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}
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bucket = aggregates[model_name]
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bucket["request_count"] = int(bucket["request_count"]) + 1
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bucket["total_cost"] = float(bucket["total_cost"]) + float(record.cost or 0.0)
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bucket["total_tokens"] = int(bucket["total_tokens"]) + int(record.total_tokens or 0)
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if record.time_cost:
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bucket["total_time_cost"] = float(bucket["total_time_cost"]) + float(record.time_cost)
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bucket["time_cost_count"] = int(bucket["time_cost_count"]) + 1
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aggregates: dict[str, dict[str, float | int]] = {}
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for record in rows:
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model_name = record.model_assign_name or record.model_name or "unknown"
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if model_name not in aggregates:
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aggregates[model_name] = {
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"request_count": 0,
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"total_cost": 0.0,
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"total_tokens": 0,
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"total_time_cost": 0.0,
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"time_cost_count": 0,
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}
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bucket = aggregates[model_name]
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bucket["request_count"] = int(bucket["request_count"]) + 1
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bucket["total_cost"] = float(bucket["total_cost"]) + float(record.cost or 0.0)
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bucket["total_tokens"] = int(bucket["total_tokens"]) + int(record.total_tokens or 0)
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if record.time_cost:
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bucket["total_time_cost"] = float(bucket["total_time_cost"]) + float(record.time_cost)
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bucket["time_cost_count"] = int(bucket["time_cost_count"]) + 1
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result: list[ModelStatistics] = []
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for model_name, bucket in sorted(
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@@ -257,7 +257,7 @@ async def _get_hourly_statistics(start_time: datetime, end_time: datetime) -> li
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)
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with get_db_session() as session:
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rows = session.execute(statement).all()
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rows = session.exec(statement).all()
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# 转换为字典以快速查找
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data_dict = {row[0]: row for row in rows}
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@@ -300,7 +300,7 @@ async def _get_daily_statistics(start_time: datetime, end_time: datetime) -> lis
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)
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with get_db_session() as session:
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rows = session.execute(statement).all()
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rows = session.exec(statement).all()
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# 转换为字典
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data_dict = {row[0]: row for row in rows}
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@@ -331,21 +331,21 @@ async def _get_recent_activity(limit: int = 10) -> list[dict[str, Any]]:
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"""获取最近活动"""
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with get_db_session() as session:
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statement = select(ModelUsage).order_by(desc(col(ModelUsage.timestamp))).limit(limit)
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records = session.execute(statement).scalars().all()
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records = session.exec(statement).all()
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activities = []
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for record in records:
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activities.append(
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{
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"timestamp": record.timestamp.isoformat(),
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"model": record.model_assign_name or record.model_name,
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"request_type": record.request_type,
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"tokens": record.total_tokens or 0,
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"cost": record.cost or 0.0,
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"time_cost": record.time_cost or 0.0,
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"status": None,
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}
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)
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activities = []
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for record in records:
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activities.append(
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{
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"timestamp": record.timestamp.isoformat(),
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"model": record.model_assign_name or record.model_name,
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"request_type": record.request_type,
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"tokens": record.total_tokens or 0,
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"cost": record.cost or 0.0,
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"time_cost": record.time_cost or 0.0,
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"status": None,
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}
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)
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return activities
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