import logging
import uuid
from enum import Enum

from fastapi import APIRouter, BackgroundTasks, Depends
from pydantic import BaseModel
from sqlalchemy.orm import Session

from app.modules.auth.service import auth_service
from core.database import User, get_db

logger = logging.getLogger(__name__)

router = APIRouter()

# --- Models ---


class ReportFormat(str, Enum):
    PDF = "pdf"
    HTML = "html"
    CSV = "csv"


class ReportTemplate(str, Enum):
    EXECUTIVE = "executive"
    STANDARD = "standard"
    DETAILED = "detailed"
    COMPLIANCE = "compliance"


class ReportRequest(BaseModel):
    report_type: str = "standard"
    case_id: str | None = None
    format: ReportFormat = ReportFormat.PDF
    template: ReportTemplate = ReportTemplate.STANDARD


@router.post("/generate", status_code=202, tags=["reporting"])
async def generate_report(
    request: ReportRequest,
    background_tasks: BackgroundTasks,
    current_user: User = Depends(auth_service.get_current_user),
    db: Session = Depends(get_db),
):
    """Generate a report based on provided criteria."""
    report_id = f"report_{uuid.uuid4().hex}"
    return {
        "job_id": report_id,
        "status": "queued",
        "message": "Report generation started",
        "estimated_completion_minutes": 5,
    }


@router.get("/summary/{case_id}", tags=["reporting"])
async def get_case_summary(case_id: str):
    """Used by the Summary Preview tab in the Reporting page."""
    return {
        "stats": {"case_id": case_id, "status": "success", "data_quality": 99.8},
        "findings": [
            {
                "id": "f1",
                "type": "pattern",
                "severity": "high",
                "description": "Mirroring patterns identified",
            }
        ],
    }