#!/usr/bin/env python3
import requests
import json
import sys

def analyze_document(document_id):
    """Analyser un document via l'API backend"""

    base_url = "http://localhost:18000"

    print(f"🔍 Analyse du document: {document_id}")
    print("=" * 50)

    try:
        # Récupérer les détails du document
        response = requests.get(f"{base_url}/api/notary/documents/{document_id}")

        if response.status_code == 200:
            data = response.json()

            print(f"📄 Document: {data.get('filename', 'N/A')}")
            print(f"📊 Taille: {data.get('size', 0)} bytes")
            print(f"📅 Upload: {data.get('upload_time', 'N/A')}")
            print(f"✅ Statut: {data.get('status', 'N/A')}")
            print(f"📈 Progression: {data.get('progress', 0)}%")
            print(f"🔄 Étape: {data.get('current_step', 'N/A')}")

            results = data.get('results', {})
            if results:
                print("\n📋 Résultats de l'analyse:")
                print("-" * 30)

                # Type de document
                doc_type = results.get('document_type', 'N/A')
                print(f"📑 Type: {doc_type}")

                # Texte OCR
                ocr_text = results.get('ocr_text', 'N/A')
                print(f"📝 Texte extrait: {ocr_text[:100]}...")

                # Entités
                entities = results.get('entities', {})
                if entities:
                    print(f"👥 Personnes: {entities.get('persons', [])}")
                    print(f"🏠 Adresses: {entities.get('addresses', [])}")
                    print(f"🏢 Propriétés: {entities.get('properties', [])}")

                # Score de vérification
                score = results.get('verification_score', 0)
                print(f"⭐ Score de vérification: {score}")

                # Données externes
                external_data = results.get('external_data', {})
                if external_data:
                    print(f"🌐 Données externes: {external_data}")

                # Recommandations
                recommendations = results.get('recommendations', [])
                if recommendations:
                    print(f"💡 Recommandations:")
                    for i, rec in enumerate(recommendations, 1):
                        print(f"   {i}. {rec}")

                # Risques
                risks = results.get('risks', [])
                if risks:
                    print(f"⚠️  Risques identifiés:")
                    for i, risk in enumerate(risks, 1):
                        print(f"   {i}. {risk}")

            print("\n✅ Analyse terminée avec succès!")

        else:
            print(f"❌ Erreur: {response.status_code}")
            print(f"Message: {response.text}")

    except requests.exceptions.ConnectionError:
        print("❌ Erreur: Impossible de se connecter à l'API backend")
        print("Vérifiez que le backend est démarré sur http://localhost:18000")
    except Exception as e:
        print(f"❌ Erreur: {e}")

if __name__ == "__main__":
    if len(sys.argv) > 1:
        document_id = sys.argv[1]
    else:
        document_id = "doc_20250910_232208_10"  # ID par défaut

    analyze_document(document_id)