ForcePilot/backend/server/routers/channels/analytics_router.py

"""聚合视图域 analytics 子域 Router。

实现 9 个 GET 端点，统一采用模板 A（控制面端口路由），通过
``use_cases.analytics_view.<method>(...)`` 调用类型化方法，经控制面管道
五阶段（鉴权 → 权限 → 限流 → dispatch → 审计）处理。

端点清单：
    - ANL-01: GET /analytics/messages          消息深度分析
    - ANL-02: GET /analytics/messages/distribution 消息类型分布
    - ANL-04: GET /analytics/sessions          会话分析
    - ANL-05: GET /analytics/delivery          投递链路分析
    - ANL-06: GET /analytics/delivery/latency  投递延迟分布
    - ANL-07: GET /analytics/delivery/funnel   投递漏斗分析
    - ANL-ACCOUNTS: GET /analytics/accounts     账户活跃度分析
    - ANL-PEERS: GET /analytics/peers           对端活跃度分析
    - ANL-CR: GET /analytics/content-review     内容审核分析

设计依据：《18-聚合视图域-analytics-router-设计方案.md》v1.2（前 6 端点），
ANL-ACCOUNTS/PEERS/CR 为后续扩展端点。
"""

from __future__ import annotations

from typing import Any

from fastapi import APIRouter, Depends, Query, Request
from yuxi.channels.contract.dtos.channel import ChannelType
from yuxi.storage.postgres.models_business import User

from server.routers.channels import (
    ANALYTICS_LIMIT,
    Granularity,
    build_operator,
    get_channel_use_cases,
    parse_datetime,
    raiseOnControlFailure,
    serialize_control_data,
)
from server.utils.auth_middleware import get_admin_user

analytics_router = APIRouter(tags=["channels-analytics"])


@analytics_router.get("/analytics/messages", response_model=dict)
async def analyze_messages(
    request: Request,
    start_time: str = Query(..., description="开始时间（ISO 8601）"),
    end_time: str = Query(..., description="结束时间（ISO 8601）"),
    granularity: Granularity = Query(default="day", description="时间粒度"),
    channel_type: ChannelType | None = Query(default=None, description="渠道类型过滤"),
    use_cases=Depends(get_channel_use_cases),
    current_user: User = Depends(get_admin_user),
) -> dict[str, Any]:
    """消息深度分析（ANL-01）。"""
    operator = build_operator(current_user, request)
    start_time_dt = parse_datetime("start_time", start_time)
    end_time_dt = parse_datetime("end_time", end_time)
    result = await use_cases.analytics_view.analyzeMessages(
        channel_type=channel_type,
        start_time=start_time_dt.isoformat(),
        end_time=end_time_dt.isoformat(),
        granularity=granularity,
        operator=operator,
    )
    raiseOnControlFailure(result)
    return {"success": True, "data": serialize_control_data(result.data)}


@analytics_router.get("/analytics/messages/distribution", response_model=dict)
async def get_message_distribution(
    request: Request,
    start_time: str = Query(..., description="开始时间（ISO 8601）"),
    end_time: str = Query(..., description="结束时间（ISO 8601）"),
    channel_type: ChannelType | None = Query(default=None, description="渠道类型过滤"),
    use_cases=Depends(get_channel_use_cases),
    current_user: User = Depends(get_admin_user),
) -> dict[str, Any]:
    """消息类型分布分析（ANL-02）。"""
    operator = build_operator(current_user, request)
    start_time_dt = parse_datetime("start_time", start_time)
    end_time_dt = parse_datetime("end_time", end_time)
    result = await use_cases.analytics_view.getMessageDistribution(
        channel_type=channel_type,
        start_time=start_time_dt.isoformat(),
        end_time=end_time_dt.isoformat(),
        operator=operator,
    )
    raiseOnControlFailure(result)
    return {"success": True, "data": serialize_control_data(result.data)}


@analytics_router.get("/analytics/sessions", response_model=dict)
async def analyze_sessions(
    request: Request,
    start_time: str = Query(..., description="开始时间（ISO 8601）"),
    end_time: str = Query(..., description="结束时间（ISO 8601）"),
    granularity: Granularity = Query(default="day", description="时间粒度"),
    channel_type: ChannelType | None = Query(default=None, description="渠道类型过滤"),
    use_cases=Depends(get_channel_use_cases),
    current_user: User = Depends(get_admin_user),
) -> dict[str, Any]:
    """会话分析（ANL-04）。"""
    operator = build_operator(current_user, request)
    start_time_dt = parse_datetime("start_time", start_time)
    end_time_dt = parse_datetime("end_time", end_time)
    result = await use_cases.analytics_view.analyzeSessions(
        channel_type=channel_type,
        start_time=start_time_dt.isoformat(),
        end_time=end_time_dt.isoformat(),
        granularity=granularity,
        operator=operator,
    )
    raiseOnControlFailure(result)
    return {"success": True, "data": serialize_control_data(result.data)}


@analytics_router.get("/analytics/delivery", response_model=dict)
async def analyze_delivery(
    request: Request,
    start_time: str = Query(..., description="开始时间（ISO 8601）"),
    end_time: str = Query(..., description="结束时间（ISO 8601）"),
    channel_type: ChannelType | None = Query(default=None, description="渠道类型过滤"),
    use_cases=Depends(get_channel_use_cases),
    current_user: User = Depends(get_admin_user),
) -> dict[str, Any]:
    """投递链路分析（ANL-05）。"""
    operator = build_operator(current_user, request)
    start_time_dt = parse_datetime("start_time", start_time)
    end_time_dt = parse_datetime("end_time", end_time)
    result = await use_cases.analytics_view.analyzeDelivery(
        channel_type=channel_type,
        start_time=start_time_dt.isoformat(),
        end_time=end_time_dt.isoformat(),
        operator=operator,
    )
    raiseOnControlFailure(result)
    return {"success": True, "data": serialize_control_data(result.data)}


@analytics_router.get("/analytics/delivery/latency", response_model=dict)
async def get_delivery_latency_distribution(
    request: Request,
    start_time: str = Query(..., description="开始时间（ISO 8601）"),
    end_time: str = Query(..., description="结束时间（ISO 8601）"),
    channel_type: ChannelType | None = Query(default=None, description="渠道类型过滤"),
    use_cases=Depends(get_channel_use_cases),
    current_user: User = Depends(get_admin_user),
) -> dict[str, Any]:
    """投递延迟分布（ANL-06）。"""
    operator = build_operator(current_user, request)
    start_time_dt = parse_datetime("start_time", start_time)
    end_time_dt = parse_datetime("end_time", end_time)
    result = await use_cases.analytics_view.getDeliveryLatencyDistribution(
        channel_type=channel_type,
        start_time=start_time_dt.isoformat(),
        end_time=end_time_dt.isoformat(),
        operator=operator,
    )
    raiseOnControlFailure(result)
    return {"success": True, "data": serialize_control_data(result.data)}


@analytics_router.get("/analytics/delivery/funnel", response_model=dict)
async def get_delivery_funnel(
    request: Request,
    start_time: str = Query(..., description="开始时间（ISO 8601）"),
    end_time: str = Query(..., description="结束时间（ISO 8601）"),
    channel_type: ChannelType | None = Query(default=None, description="渠道类型过滤"),
    use_cases=Depends(get_channel_use_cases),
    current_user: User = Depends(get_admin_user),
) -> dict[str, Any]:
    """投递漏斗分析（ANL-07）。"""
    operator = build_operator(current_user, request)
    start_time_dt = parse_datetime("start_time", start_time)
    end_time_dt = parse_datetime("end_time", end_time)
    result = await use_cases.analytics_view.getDeliveryFunnel(
        channel_type=channel_type,
        start_time=start_time_dt.isoformat(),
        end_time=end_time_dt.isoformat(),
        operator=operator,
    )
    raiseOnControlFailure(result)
    return {"success": True, "data": serialize_control_data(result.data)}


@analytics_router.get("/analytics/accounts", response_model=dict)
async def analyze_accounts(
    request: Request,
    start_time: str = Query(..., description="开始时间（ISO 8601）"),
    end_time: str = Query(..., description="结束时间（ISO 8601）"),
    granularity: Granularity = Query(default="day", description="时间粒度"),
    channel_type: ChannelType | None = Query(default=None, description="渠道类型过滤"),
    use_cases=Depends(get_channel_use_cases),
    current_user: User = Depends(get_admin_user),
) -> dict[str, Any]:
    """账户活跃度分析（ANL-ACCOUNTS）。"""
    operator = build_operator(current_user, request)
    start_time_dt = parse_datetime("start_time", start_time)
    end_time_dt = parse_datetime("end_time", end_time)
    result = await use_cases.analytics_view.analyzeAccounts(
        channel_type=channel_type,
        start_time=start_time_dt.isoformat(),
        end_time=end_time_dt.isoformat(),
        granularity=granularity,
        operator=operator,
    )
    raiseOnControlFailure(result)
    return {"success": True, "data": serialize_control_data(result.data)}


@analytics_router.get("/analytics/peers", response_model=dict)
async def analyze_peers(
    request: Request,
    start_time: str = Query(..., description="开始时间（ISO 8601）"),
    end_time: str = Query(..., description="结束时间（ISO 8601）"),
    channel_type: ChannelType | None = Query(default=None, description="渠道类型过滤"),
    account_id: str | None = Query(default=None, min_length=1, description="账户 ID 过滤"),
    limit: int = ANALYTICS_LIMIT,
    use_cases=Depends(get_channel_use_cases),
    current_user: User = Depends(get_admin_user),
) -> dict[str, Any]:
    """对端活跃度分析（ANL-PEERS）。"""
    operator = build_operator(current_user, request)
    start_time_dt = parse_datetime("start_time", start_time)
    end_time_dt = parse_datetime("end_time", end_time)
    result = await use_cases.analytics_view.analyzePeers(
        channel_type=channel_type,
        start_time=start_time_dt.isoformat(),
        end_time=end_time_dt.isoformat(),
        operator=operator,
        account_id=account_id,
        limit=limit,
    )
    raiseOnControlFailure(result)
    return {"success": True, "data": serialize_control_data(result.data)}


@analytics_router.get("/analytics/content-review", response_model=dict)
async def analyze_content_review(
    request: Request,
    start_time: str = Query(..., description="开始时间（ISO 8601）"),
    end_time: str = Query(..., description="结束时间（ISO 8601）"),
    granularity: Granularity = Query(default="day", description="时间粒度"),
    channel_type: ChannelType | None = Query(default=None, description="渠道类型过滤"),
    use_cases=Depends(get_channel_use_cases),
    current_user: User = Depends(get_admin_user),
) -> dict[str, Any]:
    """内容审核分析（ANL-CR）。"""
    operator = build_operator(current_user, request)
    start_time_dt = parse_datetime("start_time", start_time)
    end_time_dt = parse_datetime("end_time", end_time)
    result = await use_cases.analytics_view.analyzeContentReview(
        channel_type=channel_type,
        start_time=start_time_dt.isoformat(),
        end_time=end_time_dt.isoformat(),
        granularity=granularity,
        operator=operator,
    )
    raiseOnControlFailure(result)
    return {"success": True, "data": serialize_control_data(result.data)}