Spaces:
Paused
Paused
File size: 1,784 Bytes
61a1488 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 | 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",
}
],
}
|