4NK_IA_back/services/host_api/routes/admin.py

"""
Routes d'administration
"""
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.orm import Session
from typing import Dict, Any
import logging

from domain.database import get_db, Document, ProcessingLog
from domain.models import DocumentStatus

logger = logging.getLogger(__name__)
router = APIRouter()

@router.get("/stats")
async def get_statistics(db: Session = Depends(get_db)):
    """
    Statistiques générales du système
    """
    try:
        # Statistiques des documents
        total_documents = db.query(Document).count()

        status_counts = {}
        for status in DocumentStatus:
            count = db.query(Document).filter(Document.status == status.value).count()
            status_counts[status.value] = count

        # Statistiques des étapes de traitement
        processing_stats = db.query(
            ProcessingLog.step_name,
            ProcessingLog.status,
            db.func.count(ProcessingLog.id).label('count')
        ).group_by(
            ProcessingLog.step_name,
            ProcessingLog.status
        ).all()

        # Statistiques par étude
        etude_stats = db.query(
            Document.etude_id,
            db.func.count(Document.id).label('count')
        ).group_by(Document.etude_id).all()

        return {
            "documents": {
                "total": total_documents,
                "by_status": status_counts
            },
            "processing": [
                {
                    "step": stat.step_name,
                    "status": stat.status,
                    "count": stat.count
                }
                for stat in processing_stats
            ],
            "etudes": [
                {
                    "etude_id": stat.etude_id,
                    "document_count": stat.count
                }
                for stat in etude_stats
            ]
        }

    except Exception as e:
        logger.error(f"Erreur lors de la récupération des statistiques: {e}")
        raise HTTPException(status_code=500, detail=str(e))

@router.post("/documents/{document_id}/retry")
async def retry_document_processing(
    document_id: str,
    db: Session = Depends(get_db)
):
    """
    Relancer le traitement d'un document
    """
    document = db.query(Document).filter(Document.id == document_id).first()

    if not document:
        raise HTTPException(status_code=404, detail="Document non trouvé")

    if document.status not in [DocumentStatus.FAILED.value, DocumentStatus.MANUAL_REVIEW.value]:
        raise HTTPException(
            status_code=400,
            detail="Le document ne peut être relancé que s'il est en échec ou en révision manuelle"
        )

    # Réinitialisation du statut
    document.status = DocumentStatus.PENDING.value
    document.processing_steps = {}
    document.errors = []
    db.commit()

    # Relance du traitement
    from tasks.enqueue import enqueue_import
    meta = {
        "id_dossier": document.id_dossier,
        "source": document.source,
        "etude_id": document.etude_id,
        "utilisateur_id": document.utilisateur_id,
        "filename": document.filename,
        "mime": document.mime_type,
        "received_at": int(time.time())
    }

    enqueue_import(document_id, meta)

    logger.info(f"Retraitement lancé pour le document {document_id}")

    return {"message": "Retraitement lancé avec succès"}

@router.post("/documents/{document_id}/manual-review")
async def mark_for_manual_review(
    document_id: str,
    db: Session = Depends(get_db)
):
    """
    Marquer un document pour révision manuelle
    """
    document = db.query(Document).filter(Document.id == document_id).first()

    if not document:
        raise HTTPException(status_code=404, detail="Document non trouvé")

    document.status = DocumentStatus.MANUAL_REVIEW.value
    document.manual_review = True
    db.commit()

    logger.info(f"Document {document_id} marqué pour révision manuelle")

    return {"message": "Document marqué pour révision manuelle"}

@router.get("/processing-logs/{document_id}")
async def get_processing_logs(
    document_id: str,
    db: Session = Depends(get_db)
):
    """
    Récupération des logs de traitement d'un document
    """
    logs = db.query(ProcessingLog).filter(
        ProcessingLog.document_id == document_id
    ).order_by(ProcessingLog.started_at.desc()).all()

    return [
        {
            "id": log.id,
            "step_name": log.step_name,
            "status": log.status,
            "started_at": log.started_at,
            "completed_at": log.completed_at,
            "duration": log.duration,
            "error_message": log.error_message,
            "metadata": log.metadata
        }
        for log in logs
    ]