"""Execution 子域 Router。

提供执行记录的查询 / 详情 / trace / 重试 / 清理 / 统计聚合 /
慢执行 / 重试链 / 执行上下文 / 按 trace 查询 API。挂载到
``/system/external-systems/executions`` 前缀下（根前缀由聚合 router 追加）。

路径顺序约束：静态路径 ``/cleanup`` / ``/stats`` / ``/stats/grouped`` /
``/stats/error-analysis`` / ``/stats/trend`` / ``/slow`` / ``/by-trace/{trace_id}``
必须在 ``/{execution_id}`` 前声明，避免被路径参数捕获。

设计依据：docs/vibe/v1.1/设计方案/2026-06-17-Router-API-设计方案.md
扩展依据：docs/vibe/v1.1/设计方案/RouterAPI扩展设计/10-execution_router扩展设计方案.md
"""

from __future__ import annotations

from datetime import datetime
from typing import Any, Literal

from fastapi import APIRouter, Depends, Query
from pydantic import BaseModel, ConfigDict, Field
from sqlalchemy.ext.asyncio import AsyncSession
from yuxi.external_systems.infrastructure.container import create_use_cases_from_db
from yuxi.external_systems.use_cases.dto.execution import (
    CleanupInput,
    GetExecutionContextInput,
    GetExecutionDetailInput,
    GetExecutionStatsInput,
    GetExecutionTraceInput,
    GetExecutionTrendInput,
    GetSlowExecutionsInput,
    GetTraceExecutionsInput,
    ListRetriesInput,
    PaginateExecutionsInput,
    RetryExecutionInput,
)
from yuxi.storage.postgres.models_business import User

from server.utils.auth_middleware import get_admin_user, get_db, get_required_user

execution_router = APIRouter(prefix="/executions", tags=["external-systems-execution"])


# =============================================================================
# === Request Schemas ===
# =============================================================================


class CleanupExecutionsRequest(BaseModel):
    """清理历史执行记录请求体。字段对齐 ``CleanupInput``。"""

    model_config = ConfigDict(frozen=True)

    system_id: int | None = None
    before_at: datetime | None = None
    status: Literal["pending", "running", "success", "failed", "timeout", "throttled", "cancelled"] | None = None
    batch_size: int = Field(default=1000, ge=1, le=10000)


# =============================================================================
# === 静态路径端点（必须在 /{execution_id} 之前声明） ===
# =============================================================================


@execution_router.post("/cleanup", response_model=dict)
async def cleanup_old_executions(
    payload: CleanupExecutionsRequest,
    db: AsyncSession = Depends(get_db),
    current_user: User = Depends(get_admin_user),
) -> dict[str, Any]:
    """清理历史执行记录（管理员）。"""
    use_cases = create_use_cases_from_db(db)
    input_dto = CleanupInput(
        system_id=payload.system_id,
        before_at=payload.before_at,
        status=payload.status,
        batch_size=payload.batch_size,
    )
    output = await use_cases.execution_service.cleanup_old_executions(input_dto)
    return {"success": True, "data": output.model_dump()}


@execution_router.get("", response_model=dict)
async def paginate_executions(
    limit: int = Query(100, ge=1, le=500),
    offset: int = Query(0, ge=0),
    system_id: int | None = Query(None, ge=1),
    env_key: str | None = Query(None, max_length=32),
    tool_slug: str | None = Query(None, max_length=128),
    status: Literal["pending", "running", "success", "failed", "timeout", "throttled", "cancelled"] | None = Query(
        None, description="执行状态：pending/running/success/failed/timeout/throttled/cancelled"
    ),
    caller: str | None = Query(None, max_length=32),
    caller_id: str | None = Query(None, max_length=64, description="按调用方实体过滤"),
    operation: str | None = Query(None, max_length=32, description="按操作类型过滤"),
    tag_key: str | None = Query(None, max_length=64, description="按业务标签键过滤"),
    tag_value: str | None = Query(None, max_length=256, description="按业务标签值过滤"),
    trace_id: str | None = Query(None, max_length=64),
    correlation_id: str | None = Query(None, max_length=64),
    start_time: datetime | None = Query(None, description="ISO8601 开始时间"),
    end_time: datetime | None = Query(None, description="ISO8601 结束时间"),
    db: AsyncSession = Depends(get_db),
    current_user: User = Depends(get_required_user),
) -> dict[str, Any]:
    """分页查询执行记录。"""
    use_cases = create_use_cases_from_db(db)
    input_dto = PaginateExecutionsInput(
        page=offset // limit + 1,
        page_size=limit,
        system_id=system_id,
        env_key=env_key,
        tool_slug=tool_slug,
        status=status,
        caller=caller,
        caller_id=caller_id,
        operation=operation,
        tag_key=tag_key,
        tag_value=tag_value,
        trace_id=trace_id,
        correlation_id=correlation_id,
        start_at=start_time,
        end_at=end_time,
    )
    output = await use_cases.execution_service.paginate_executions(input_dto)
    return {"success": True, "data": output.model_dump()}


# =============================================================================
# === 扩展：统计聚合 / 慢执行 / 按 trace 查询（静态路径，必须在 /{execution_id} 之前） ===
# =============================================================================


@execution_router.get("/stats", response_model=dict)
async def get_execution_stats(
    system_id: int | None = Query(None, ge=1, description="系统过滤"),
    env_key: str | None = Query(None, max_length=32, description="环境过滤"),
    adapter_type: str | None = Query(None, max_length=32, description="适配器类型过滤"),
    start_time: datetime | None = Query(None, description="起始时间"),
    end_time: datetime | None = Query(None, description="结束时间"),
    tool_limit: int = Query(20, ge=1, le=100, description="Top 工具数量"),
    db: AsyncSession = Depends(get_db),
    current_user: User = Depends(get_required_user),
) -> dict[str, Any]:
    """执行统计聚合。含按状态/工具分组。"""
    use_cases = create_use_cases_from_db(db)
    input_dto = GetExecutionStatsInput(
        system_id=system_id,
        env_key=env_key,
        adapter_type=adapter_type,
        start=start_time,
        end=end_time,
        limit=tool_limit,
    )
    output = await use_cases.execution_service.get_execution_stats(input_dto)
    return {"success": True, "data": output.model_dump()}


@execution_router.get("/stats/grouped", response_model=dict)
async def get_grouped_stats(
    group_by: Literal["tool"] = Query(..., description="分组维度，仅支持 tool"),
    system_id: int | None = Query(None, ge=1, description="系统过滤"),
    env_key: str | None = Query(None, max_length=32, description="环境过滤"),
    adapter_type: str | None = Query(None, max_length=32, description="适配器类型过滤"),
    start_time: datetime | None = Query(None, description="起始时间"),
    end_time: datetime | None = Query(None, description="结束时间"),
    limit: int = Query(20, ge=1, le=100, description="返回数量"),
    db: AsyncSession = Depends(get_db),
    current_user: User = Depends(get_required_user),
) -> dict[str, Any]:
    """分组统计。仅支持 group_by=tool（仓储仅 aggregate_by_tool 支持分组）。"""
    use_cases = create_use_cases_from_db(db)
    input_dto = GetExecutionStatsInput(
        system_id=system_id,
        env_key=env_key,
        adapter_type=adapter_type,
        start=start_time,
        end=end_time,
        limit=limit,
    )
    output = await use_cases.execution_service.get_grouped_stats(input_dto)
    return {"success": True, "data": output.model_dump()}


@execution_router.get("/stats/error-analysis", response_model=dict)
async def get_error_analysis(
    system_id: int = Query(..., ge=1, description="系统 ID（必填）"),
    start_time: datetime | None = Query(None, description="起始时间"),
    end_time: datetime | None = Query(None, description="结束时间"),
    limit: int = Query(5, ge=1, le=50, description="返回数量"),
    db: AsyncSession = Depends(get_db),
    current_user: User = Depends(get_required_user),
) -> dict[str, Any]:
    """错误分析。按错误码分组统计失败执行数量。"""
    use_cases = create_use_cases_from_db(db)
    input_dto = GetExecutionStatsInput(
        system_id=system_id,
        start=start_time,
        end=end_time,
        limit=limit,
    )
    output = await use_cases.execution_service.get_error_analysis(input_dto)
    return {"success": True, "data": output.model_dump()}


@execution_router.get("/stats/trend", response_model=dict)
async def get_execution_trend(
    tool_slug: str = Query(..., min_length=1, max_length=128, description="工具标识（必填）"),
    system_id: int | None = Query(None, ge=1, description="系统过滤"),
    env_key: str | None = Query(None, max_length=32, description="环境过滤"),
    start_time: datetime | None = Query(None, description="起始时间"),
    end_time: datetime | None = Query(None, description="结束时间"),
    interval: Literal["hour", "day"] = Query("day", description="时间桶粒度：hour / day"),
    db: AsyncSession = Depends(get_db),
    current_user: User = Depends(get_required_user),
) -> dict[str, Any]:
    """执行趋势。按时间桶 + 工具聚合。"""
    use_cases = create_use_cases_from_db(db)
    input_dto = GetExecutionTrendInput(
        tool_slug=tool_slug,
        system_id=system_id,
        env_key=env_key,
        start=start_time,
        end=end_time,
        interval=interval,
    )
    output = await use_cases.execution_service.get_execution_trend(input_dto)
    return {"success": True, "data": output.model_dump()}


@execution_router.get("/slow", response_model=dict)
async def list_slow_executions(
    system_id: int = Query(..., ge=1, description="系统 ID（必填）"),
    min_duration_ms: int = Query(..., ge=0, description="耗时阈值（毫秒，必填）"),
    limit: int = Query(50, ge=1, le=200, description="返回数量"),
    db: AsyncSession = Depends(get_db),
    current_user: User = Depends(get_required_user),
) -> dict[str, Any]:
    """慢执行查询。按耗时降序。"""
    use_cases = create_use_cases_from_db(db)
    input_dto = GetSlowExecutionsInput(
        system_id=system_id,
        min_duration_ms=min_duration_ms,
        limit=limit,
    )
    output = await use_cases.execution_service.list_slow_executions(input_dto)
    return {"success": True, "data": output.model_dump()}


@execution_router.get("/by-trace/{trace_id}", response_model=dict)
async def list_by_trace(
    trace_id: str,
    limit: int = Query(50, ge=1, le=200, description="返回数量"),
    db: AsyncSession = Depends(get_db),
    current_user: User = Depends(get_required_user),
) -> dict[str, Any]:
    """按 trace 查询。返回 execution + trace 组合。"""
    use_cases = create_use_cases_from_db(db)
    input_dto = GetTraceExecutionsInput(
        trace_id=trace_id,
        limit=limit,
    )
    output = await use_cases.execution_service.list_by_trace(input_dto)
    return {"success": True, "data": output.model_dump()}


# =============================================================================
# === 动态路径端点 /{execution_id} ===
# =============================================================================


@execution_router.get("/{execution_id}", response_model=dict)
async def get_execution_detail(
    execution_id: str,
    db: AsyncSession = Depends(get_db),
    current_user: User = Depends(get_required_user),
) -> dict[str, Any]:
    """获取执行详情。"""
    use_cases = create_use_cases_from_db(db)
    input_dto = GetExecutionDetailInput(execution_id=execution_id)
    output = await use_cases.execution_service.get_execution_detail(input_dto)
    return {"success": True, "data": output.model_dump()}


@execution_router.get("/{execution_id}/trace", response_model=dict)
async def get_execution_trace(
    execution_id: str,
    db: AsyncSession = Depends(get_db),
    current_user: User = Depends(get_required_user),
) -> dict[str, Any]:
    """获取执行 trace。"""
    use_cases = create_use_cases_from_db(db)
    input_dto = GetExecutionTraceInput(execution_id=execution_id)
    output = await use_cases.execution_service.get_execution_trace(input_dto)
    return {"success": True, "data": output.model_dump()}


@execution_router.get("/{execution_id}/retries", response_model=dict)
async def list_retries(
    execution_id: str,
    limit: int = Query(50, ge=1, le=200, description="返回数量"),
    db: AsyncSession = Depends(get_db),
    current_user: User = Depends(get_required_user),
) -> dict[str, Any]:
    """重试链查询。基于 retry_of 字段，按 started_at 升序。"""
    use_cases = create_use_cases_from_db(db)
    input_dto = ListRetriesInput(
        execution_id=execution_id,
        limit=limit,
    )
    output = await use_cases.execution_service.list_retries(input_dto)
    return {"success": True, "data": output.model_dump()}


@execution_router.get("/{execution_id}/context", response_model=dict)
async def get_execution_context(
    execution_id: str,
    db: AsyncSession = Depends(get_db),
    current_user: User = Depends(get_required_user),
) -> dict[str, Any]:
    """执行上下文。含 trace + 关联告警。"""
    use_cases = create_use_cases_from_db(db)
    input_dto = GetExecutionContextInput(execution_id=execution_id)
    output = await use_cases.execution_service.get_execution_context(input_dto)
    return {"success": True, "data": output.model_dump()}


@execution_router.post("/{execution_id}/retry", response_model=dict)
async def retry_execution(
    execution_id: str,
    db: AsyncSession = Depends(get_db),
    current_user: User = Depends(get_admin_user),
) -> dict[str, Any]:
    """重试执行（管理员）。

    ``caller`` / ``caller_id`` 均使用当前管理员 uid，用于审计日志。
    执行记录的 ``caller`` 由 service 层固定为 ``retry``，确保重试语义准确。
    """
    use_cases = create_use_cases_from_db(db)
    input_dto = RetryExecutionInput(
        execution_id=execution_id,
        caller=current_user.uid,
        caller_id=current_user.uid,
    )
    output = await use_cases.execution_service.retry_execution(input_dto)
    return {"success": True, "data": output.model_dump()}