127 lines
4.1 KiB
Python
127 lines
4.1 KiB
Python
"""运行时数据访问。"""
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from sqlalchemy import func, select
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.models.runtime import Event, Run
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async def get_run(session: AsyncSession, run_id: str) -> Run | None:
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return await session.get(Run, run_id)
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async def list_runs(
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session: AsyncSession,
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*,
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character_id: str | None = None,
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status: str | None = None,
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page: int = 1,
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page_size: int = 20,
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) -> tuple[list[Run], int]:
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"""按创建时间倒序分页返回 Run；可选按人物/状态过滤，返回 (条目, 总数)。"""
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conds = []
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if character_id is not None:
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conds.append(Run.character_id == character_id)
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if status is not None:
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conds.append(Run.status == status)
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count_stmt = select(func.count()).select_from(Run)
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list_stmt = select(Run)
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if conds:
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count_stmt = count_stmt.where(*conds)
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list_stmt = list_stmt.where(*conds)
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total = int((await session.execute(count_stmt)).scalar_one())
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result = await session.execute(
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list_stmt.order_by(Run.created_at.desc()).offset((page - 1) * page_size).limit(page_size)
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)
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return list(result.scalars().all()), total
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async def count_events(session: AsyncSession, run_id: str) -> int:
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result = await session.execute(
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select(func.count()).select_from(Event).where(Event.run_id == run_id)
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)
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return int(result.scalar_one())
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async def next_event_sequence(session: AsyncSession, run_id: str) -> int:
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result = await session.execute(select(func.max(Event.sequence)).where(Event.run_id == run_id))
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current = result.scalar_one_or_none()
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return int(current or 0) + 1
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async def get_event(session: AsyncSession, event_id: str) -> Event | None:
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return await session.get(Event, event_id)
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async def has_active_runs(
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session: AsyncSession,
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character_id: str,
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) -> bool:
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"""检查指定角色是否有活跃的进行中 run（大周天任务中断防护用）。"""
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result = await session.execute(
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select(func.count()).select_from(Run).where(
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Run.character_id == character_id,
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Run.status == "running",
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)
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)
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return int(result.scalar_one()) > 0
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async def list_events_by_run(
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session: AsyncSession,
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run_id: str,
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*,
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visibility: str | None = None,
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limit: int = 200,
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offset: int = 0,
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) -> tuple[list[Event], int]:
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"""按 run_id 查询事件，按 sequence 升序；可选 visibility 过滤。返回 (条目, 总数)。"""
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conditions = [Event.run_id == run_id]
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if visibility is not None:
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conditions.append(Event.visibility == visibility)
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total = int(
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(
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await session.execute(select(func.count()).select_from(Event).where(*conditions))
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).scalar_one()
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)
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result = await session.execute(
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select(Event).where(*conditions).order_by(Event.sequence.asc()).offset(offset).limit(limit)
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)
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return list(result.scalars().all()), total
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async def list_public_events_after(
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session: AsyncSession, run_id: str, *, after_sequence: int = 0, limit: int = 100
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) -> list[Event]:
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result = await session.execute(
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select(Event)
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.where(
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Event.run_id == run_id,
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Event.visibility == "public",
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Event.sequence > after_sequence,
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)
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.order_by(Event.sequence.asc())
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.limit(limit)
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)
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return list(result.scalars().all())
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async def list_events_by_trace(session: AsyncSession, trace_id: str) -> list[Event]:
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"""链路追踪：按 trace_id 查询运行事件，按 created_at 升序（与审计/幂等归并排序）。"""
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result = await session.execute(
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select(Event).where(Event.trace_id == trace_id).order_by(Event.created_at.asc())
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)
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return list(result.scalars().all())
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async def summarize_by_trace(session: AsyncSession):
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"""GROUP BY trace_id：(trace_id, 计数, 最近时间)，仅 trace_id 非空。供链路追踪列表聚合。"""
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result = await session.execute(
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select(Event.trace_id, func.count(), func.max(Event.created_at))
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.where(Event.trace_id.is_not(None))
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.group_by(Event.trace_id)
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)
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return [(row[0], int(row[1]), row[2]) for row in result.all()]
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