4NK_IA_back/tests/test_api.py

"""
Tests unitaires pour l'API
"""
import pytest
import json
from fastapi.testclient import TestClient
from unittest.mock import patch, MagicMock

# Import de l'application (à adapter selon la structure)
# from services.host_api.app import app

# client = TestClient(app)

class TestAPI:
    """Tests pour l'API d'ingestion"""

    def test_health_check(self):
        """Test du endpoint de santé"""
        # response = client.get("/api/health")
        # assert response.status_code == 200
        # data = response.json()
        # assert data["status"] in ["healthy", "degraded"]
        # assert "services" in data
        pass

    def test_import_document_pdf(self):
        """Test d'import d'un document PDF"""
        # with open("tests/data/sample.pdf", "rb") as f:
        #     files = {"file": ("test.pdf", f, "application/pdf")}
        #     data = {
        #         "id_dossier": "D-2025-001",
        #         "source": "upload",
        #         "etude_id": "E-001",
        #         "utilisateur_id": "U-123"
        #     }
        #
        #     response = client.post("/api/import", files=files, data=data)
        #     assert response.status_code == 200
        #
        #     result = response.json()
        #     assert result["status"] == "queued"
        #     assert "id_document" in result
        pass

    def test_import_document_invalid_type(self):
        """Test d'import avec un type de fichier invalide"""
        # files = {"file": ("test.txt", b"content", "text/plain")}
        # data = {
        #     "id_dossier": "D-2025-001",
        #     "source": "upload",
        #     "etude_id": "E-001",
        #     "utilisateur_id": "U-123"
        # }
        #
        # response = client.post("/api/import", files=files, data=data)
        # assert response.status_code == 415
        pass

    def test_get_document(self):
        """Test de récupération d'un document"""
        # response = client.get("/api/documents/test-doc-id")
        # assert response.status_code == 404  # Document inexistant
        pass

    def test_list_documents(self):
        """Test de liste des documents"""
        # response = client.get("/api/documents")
        # assert response.status_code == 200
        # data = response.json()
        # assert isinstance(data, list)
        pass

    def test_admin_stats(self):
        """Test des statistiques d'administration"""
        # response = client.get("/api/admin/stats")
        # assert response.status_code == 200
        # data = response.json()
        # assert "documents" in data
        # assert "processing" in data
        pass

class TestWorker:
    """Tests pour les pipelines de traitement"""

    @patch('services.worker.pipelines.preprocess.get_document')
    def test_preprocess_pdf(self, mock_get_document):
        """Test du préprocessing PDF"""
        # mock_get_document.return_value = b"fake pdf content"
        #
        # ctx = {"mime_type": "application/pdf"}
        # preprocess.run("test-doc-id", ctx)
        #
        # assert "preprocessing_meta" in ctx
        # assert ctx["preprocessing_meta"]["preprocessing_completed"] is True
        pass

    @patch('services.worker.pipelines.ocr.requests.post')
    def test_classify_document(self, mock_post):
        """Test de classification de document"""
        # mock_response = MagicMock()
        # mock_response.status_code = 200
        # mock_response.json.return_value = {
        #     "response": '{"label": "acte_vente", "confidence": 0.95}'
        # }
        # mock_post.return_value = mock_response
        #
        # ctx = {"extracted_text": "Acte de vente immobilière..."}
        # classify.run("test-doc-id", ctx)
        #
        # assert "classification" in ctx
        # assert ctx["classification"]["label"] == "acte_vente"
        pass

    def test_extract_data(self):
        """Test d'extraction de données"""
        # ctx = {
        #     "extracted_text": "Vendeur: Jean Dupont, Acheteur: Marie Martin, Prix: 250000€",
        #     "classification": {"label": "acte_vente", "confidence": 0.95}
        # }
        #
        # extract.run("test-doc-id", ctx)
        #
        # assert "extracted_data" in ctx
        # assert ctx["extracted_data"]["type"] == "acte_vente"
        pass

    def test_checks_validation(self):
        """Test des vérifications"""
        # ctx = {
        #     "classification": {"label": "acte_vente", "confidence": 0.95},
        #     "extracted_data": {
        #         "type": "acte_vente",
        #         "vendeur": "Jean Dupont",
        #         "acheteur": "Marie Martin",
        #         "prix": "250000€"
        #     },
        #     "ocr_meta": {"confidence": 0.8, "text_length": 1000}
        # }
        #
        # checks.run("test-doc-id", ctx)
        #
        # assert "checks_results" in ctx
        # assert "overall_status" in ctx
        pass

class TestUtils:
    """Tests pour les utilitaires"""

    def test_text_normalization(self):
        """Test de normalisation de texte"""
        # from services.worker.utils.text_normalize import correct_notarial_text
        #
        # text = "M. Jean Dupont vend à Mme Marie Martin pour 250000€"
        # corrected = correct_notarial_text(text)
        #
        # assert "Monsieur" in corrected
        # assert "Madame" in corrected
        # assert "euros" in corrected
        pass

    def test_date_extraction(self):
        """Test d'extraction de dates"""
        # from services.worker.utils.text_normalize import extract_dates
        #
        # text = "Acte du 15/03/2025"
        # dates = extract_dates(text)
        #
        # assert "15/03/2025" in dates
        pass

    def test_amount_extraction(self):
        """Test d'extraction de montants"""
        # from services.worker.utils.text_normalize import extract_amounts
        #
        # text = "Prix de vente: 250 000€"
        # amounts = extract_amounts(text)
        #
        # assert "250 000€" in amounts
        pass

if __name__ == "__main__":
    pytest.main([__file__])