"""Eisenhower Matrix: read-only 2x2 priority/urgency grid of open tasks."""

from fastapi import APIRouter, Request, Depends
from fastapi.templating import Jinja2Templates
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import text

from core.database import get_db
from core.sidebar import get_sidebar_data

router = APIRouter(prefix="/eisenhower", tags=["eisenhower"])
templates = Jinja2Templates(directory="templates")


@router.get("/")
async def eisenhower_matrix(
    request: Request,
    db: AsyncSession = Depends(get_db),
):
    sidebar = await get_sidebar_data(db)

    result = await db.execute(text("""
        SELECT t.id, t.title, t.priority, t.status, t.due_date,
               t.context, t.estimated_minutes,
               p.name as project_name,
               d.name as domain_name, d.color as domain_color
        FROM tasks t
        LEFT JOIN projects p ON t.project_id = p.id
        LEFT JOIN domains d ON t.domain_id = d.id
        WHERE t.is_deleted = false
          AND t.status IN ('open', 'in_progress', 'blocked')
        ORDER BY t.priority, t.due_date NULLS LAST, t.title
    """))
    tasks = [dict(r._mapping) for r in result]

    # Classify into quadrants
    from datetime import date, timedelta
    today = date.today()
    urgent_cutoff = today + timedelta(days=7)

    quadrants = {
        "do_first": [],       # Urgent + Important
        "schedule": [],       # Not Urgent + Important
        "delegate": [],       # Urgent + Not Important
        "eliminate": [],      # Not Urgent + Not Important
    }

    for t in tasks:
        important = t["priority"] in (1, 2)
        urgent = (
            t["due_date"] is not None
            and t["due_date"] <= urgent_cutoff
        )

        if important and urgent:
            quadrants["do_first"].append(t)
        elif important and not urgent:
            quadrants["schedule"].append(t)
        elif not important and urgent:
            quadrants["delegate"].append(t)
        else:
            quadrants["eliminate"].append(t)

    counts = {k: len(v) for k, v in quadrants.items()}
    total = sum(counts.values())

    return templates.TemplateResponse("eisenhower.html", {
        "request": request,
        "sidebar": sidebar,
        "quadrants": quadrants,
        "counts": counts,
        "total": total,
        "today": today,
        "page_title": "Eisenhower Matrix",
        "active_nav": "eisenhower",
    })