from __future__ import annotations

from typing import Any

from fastapi import APIRouter, Depends, HTTPException, Request

from backend.auth.dependencies import UserPrincipal, get_current_user
from backend.crm.canonical_schema import ensure_canonical_crm_schema

router = APIRouter(dependencies=[Depends(get_current_user)])


async def _pool(request: Request):
    await ensure_canonical_crm_schema(request.app)
    pool = getattr(request.app.state, "db_pool", None)
    if pool is None:
        raise HTTPException(status_code=503, detail="Database unavailable.")
    return pool


def _money_inr(value: Any) -> str:
    amount = float(value or 0)
    if amount >= 10_000_000:
        return f"₹{amount / 10_000_000:.1f}Cr"
    if amount >= 100_000:
        return f"₹{amount / 100_000:.1f}L"
    return f"₹{amount:,.0f}"


@router.get("/dashboard/morning-brief")
async def morning_brief(request: Request, user: UserPrincipal = Depends(get_current_user)) -> dict[str, Any]:
    """Command pillar briefing derived from canonical CRM data."""
    pool = await _pool(request)
    async with pool.acquire() as conn:
        people_count = await conn.fetchval("SELECT COUNT(*) FROM crm_people")
        active_leads = await conn.fetchval(
            """
            SELECT COUNT(*)
            FROM crm_leads
            WHERE status NOT IN ('booked', 'lost', 'dormant')
            """
        )
        open_pipeline = await conn.fetchval(
            """
            SELECT COALESCE(SUM(value), 0)
            FROM crm_opportunities
            WHERE stage NOT IN ('closed_won', 'closed_lost')
            """
        )
        avg_qd = await conn.fetchval("SELECT COALESCE(AVG(current_value), 0) FROM intel_qd_scores")
        overdue_tasks = await conn.fetchval(
            """
            SELECT COUNT(*)
            FROM intel_reminders
            WHERE status IN ('pending', 'confirmed') AND due_at < NOW()
            """
        )
        stages = await conn.fetch(
            """
            SELECT status::text AS id, INITCAP(REPLACE(status::text, '_', ' ')) AS label, COUNT(*)::int AS count
            FROM crm_leads
            GROUP BY status
            ORDER BY MIN(created_at) NULLS LAST, status::text
            """
        )
        actions = await conn.fetch(
            """
            SELECT p.person_id::text, p.full_name, n.recommended_action, n.priority, n.rationale,
                   COALESCE(q.current_value, 0)::float AS qd_score
            FROM read_next_best_action n
            JOIN crm_people p ON p.person_id = n.person_id
            LEFT JOIN LATERAL (
                SELECT current_value
                FROM intel_qd_scores
                WHERE person_id = p.person_id
                ORDER BY current_value DESC NULLS LAST
                LIMIT 1
            ) q ON TRUE
            ORDER BY
                CASE n.priority WHEN 'critical' THEN 0 WHEN 'high' THEN 1 WHEN 'medium' THEN 2 ELSE 3 END,
                qd_score DESC,
                n.computed_at DESC NULLS LAST
            LIMIT 3
            """
        )

    priority_cards = []
    for row in actions:
        urgency = (row["priority"] or "medium").lower()
        if urgency not in {"high", "medium", "low"}:
            urgency = "high" if urgency == "critical" else "medium"
        priority_cards.append(
            {
                "id": row["person_id"],
                "type": "follow_up",
                "headline": row["recommended_action"] or "Follow up with client",
                "sublabel": row["rationale"],
                "personId": row["person_id"],
                "personName": row["full_name"],
                "cta": "Open client",
                "urgency": urgency,
            }
        )

    return {
        "kpis": [
            {"label": "Clients", "value": str(int(people_count or 0)), "sublabel": "canonical CRM records"},
            {"label": "Active leads", "value": str(int(active_leads or 0)), "sublabel": "not booked/lost/dormant"},
            {"label": "Open pipeline", "value": _money_inr(open_pipeline), "sublabel": f"avg QD {float(avg_qd or 0):.0f}"},
            {"label": "Overdue follow-ups", "value": str(int(overdue_tasks or 0)), "deltaPositive": False},
        ],
        "priorityCards": priority_cards,
        "pipelineStages": [dict(row) for row in stages],
    }