"""创始人专属 API — 经营概览 + 自身健康度 + AI 副驾驶完整版。"""

from fastapi import APIRouter, Depends, Query
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession

from app.core.database import get_db
from app.core.dependencies import get_current_user
from app.models.company import Company
from app.models.health_score import HealthScore
from app.models.report import MonthlyReport
from app.models.user import User
from app.schemas.common import ApiResponse, success
from app.services.founder_copilot import financing_planner, org_diagnostic, investor_comm_prep

router = APIRouter(prefix="/founder", tags=["founder"])


@router.get("/overview", response_model=ApiResponse[dict])
async def founder_overview(
    db: AsyncSession = Depends(get_db),
    user: User = Depends(get_current_user),
):
    """创始人经营概览。"""
    # 获取创始人关联的企业
    company_result = await db.execute(
        select(Company).where(Company.tenant_id == user.tenant_id).limit(1)
    )
    company = company_result.scalar_one_or_none()

    if not company:
        return success(data={"message": "暂无关联企业"})

    # 获取最新健康度
    health_result = await db.execute(
        select(HealthScore)
        .where(HealthScore.company_id == company.id)
        .order_by(HealthScore.calculated_at.desc())
        .limit(1)
    )
    health = health_result.scalar_one_or_none()

    # 获取最新月报
    report_result = await db.execute(
        select(MonthlyReport)
        .where(MonthlyReport.company_id == company.id)
        .order_by(MonthlyReport.period_year.desc(), MonthlyReport.period_month.desc())
        .limit(1)
    )
    report = report_result.scalar_one_or_none()

    return success(data={
        "company": {"id": str(company.id), "name": company.name, "industry": company.industry, "stage": company.stage},
        "health_score": {
            "total_score": health.total_score if health else None,
            "trend": health.trend if health else None,
        } if health else None,
        "latest_report": {
            "id": str(report.id),
            "period": f"{report.period_year}-{report.period_month:02d}",
            "status": report.status,
        } if report else None,
    })


@router.get("/health", response_model=ApiResponse[dict])
async def founder_health(
    db: AsyncSession = Depends(get_db),
    user: User = Depends(get_current_user),
):
    """创始人查看自身健康度。"""
    company_result = await db.execute(
        select(Company).where(Company.tenant_id == user.tenant_id).limit(1)
    )
    company = company_result.scalar_one_or_none()
    if not company:
        return success(data=None)

    result = await db.execute(
        select(HealthScore)
        .where(HealthScore.company_id == company.id)
        .order_by(HealthScore.calculated_at.desc())
        .limit(1)
    )
    health = result.scalar_one_or_none()
    if not health:
        return success(data=None)

    return success(data={
        "total_score": health.total_score,
        "financial_score": health.financial_score,
        "operational_score": health.operational_score,
        "ai_commercial_score": health.ai_commercial_score,
        "ai_cost_score": health.ai_cost_score,
        "trend": health.trend,
        "recommendations": health.recommendations_json,
    })


@router.post("/financing-plan", response_model=ApiResponse[dict])
async def founder_financing_plan(
    req: dict,
    user: User = Depends(get_current_user),
):
    """AI 融资规划 — 节奏/估值/投资人画像。

    Args:
        req: 包含 company_data 字段，描述企业当前融资情况

    Returns:
        AI 生成的融资规划建议
    """
    result = await financing_planner(req.get("company_data", ""))
    return success(data=result)


@router.post("/org-diagnostic", response_model=ApiResponse[dict])
async def founder_org_diagnostic(
    req: dict,
    user: User = Depends(get_current_user),
):
    """AI 组织诊断 — 团队结构/关键岗位风险/人才缺口。

    Args:
        req: 包含 team_data 字段，描述团队当前情况

    Returns:
        AI 生成的组织诊断报告
    """
    result = await org_diagnostic(req.get("team_data", ""))
    return success(data=result)


@router.post("/investor-comm-prep", response_model=ApiResponse[dict])
async def founder_investor_comm_prep(
    req: dict,
    user: User = Depends(get_current_user),
):
    """AI 投资人沟通准备 — 董事会材料/投资人问答。

    Args:
        req: 包含 board_context 字段，描述董事会/投资人会议背景

    Returns:
        AI 生成的投资人沟通准备材料
    """
    result = await investor_comm_prep(req.get("board_context", ""))
    return success(data=result)