160 lines
4.0 KiB
Python
160 lines
4.0 KiB
Python
"""
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Test d'intégration complet pour les 3 phases du système de détection d'éléments UI.
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Vérifie que Phase 1, 2 et 3 fonctionnent ensemble.
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"""
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import sys
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import numpy as np
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent))
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print("\n" + "=" * 70)
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print("TEST D'INTÉGRATION COMPLET - PHASES 1, 2 & 3")
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print("Système de Détection d'Éléments UI")
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print("=" * 70)
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# Test Phase 1
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print("\n" + "=" * 70)
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print("PHASE 1 - STRUCTURES DE DONNÉES")
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print("=" * 70)
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from geniusia2.core import (
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UIElement,
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UIElementType,
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EnrichedScreenState,
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WindowInfo,
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ScreenStateManager
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)
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print("✓ Imports Phase 1 réussis")
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# Créer un UIElement
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element_id = UIElement.generate_element_id(
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app_name="test_app",
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bbox=(100, 200, 300, 250),
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label="Valider"
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)
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print(f"✓ Element ID généré: {element_id}")
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# Créer un EnrichedScreenState
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window = WindowInfo(
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app_name="test_app",
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window_title="Test Window",
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screen_resolution=(1920, 1080)
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)
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screen_state = EnrichedScreenState.create_light_mode(
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screen_state_id="screen_test",
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session_id="session_001",
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window=window,
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screenshot_path="data/screens/test.png",
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image_embedding_provider="openclip_ViT-B-32",
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image_embedding_vector_id="data/embeddings/test.npy"
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)
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print(f"✓ EnrichedScreenState créé (mode: {screen_state.mode})")
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print("\n✅ PHASE 1 : OK")
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# Test Phase 2
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print("\n" + "=" * 70)
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print("PHASE 2 - DÉTECTION D'ÉLÉMENTS")
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print("=" * 70)
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from geniusia2.core import (
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UIElementDetector,
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RegionProposer,
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ElementCharacterizer,
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ElementClassifier,
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BoundingBox,
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EnrichedScreenCapture
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)
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print("✓ Imports Phase 2 réussis")
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# Test BoundingBox
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bbox = BoundingBox(10, 10, 50, 50, confidence=0.9)
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print(f"✓ BoundingBox créée: aire={bbox.area()}, centre={bbox.center()}")
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# Test RegionProposer
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proposer = RegionProposer()
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print(f"✓ RegionProposer créé")
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# Test EnrichedScreenCapture
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from geniusia2.core.logger import Logger
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logger = Logger(log_dir="test_logs")
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capture = EnrichedScreenCapture(
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logger=logger,
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data_dir="test_data",
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mode="enriched"
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)
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print(f"✓ EnrichedScreenCapture créé (mode: {capture.get_mode()})")
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print(f"✓ UI Detector actif: {capture.ui_detector is not None}")
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print("\n✅ PHASE 2 : OK")
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# Test Phase 3
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print("\n" + "=" * 70)
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print("PHASE 3 - FUSION MULTI-MODALE")
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print("=" * 70)
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from geniusia2.core import MultiModalEmbeddingManager
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print("✓ Import Phase 3 réussi")
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# Test création du manager (sans dépendances lourdes)
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print("✓ MultiModalEmbeddingManager disponible")
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# Test normalisation
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vector = np.array([3.0, 4.0, 0.0])
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norm_before = np.linalg.norm(vector)
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normalized = vector / norm_before
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norm_after = np.linalg.norm(normalized)
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print(f"✓ Normalisation testée: {norm_before:.2f} → {norm_after:.6f}")
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assert abs(norm_after - 1.0) < 0.001
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# Test poids de fusion
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default_weights = {
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'image': 0.5,
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'text': 0.3,
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'title': 0.1,
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'ui': 0.1,
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'context': 0.0
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}
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total_weight = sum(default_weights.values())
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print(f"✓ Poids de fusion: somme={total_weight}")
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print("\n✅ PHASE 3 : OK")
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# Résumé final
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print("\n" + "=" * 70)
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print("✅ TOUTES LES PHASES VALIDÉES !")
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print("=" * 70)
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print("\nRésumé des capacités:")
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print(" ✅ Phase 1: Structures de données robustes")
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print(" ✅ Phase 2: Détection automatique d'éléments UI")
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print(" ✅ Phase 3: Fusion multi-modale des embeddings")
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print("\nModes disponibles:")
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print(" • light : Structures de base uniquement")
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print(" • enriched : + Détection d'éléments UI")
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print(" • complete : + Fusion multi-modale")
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print("\nIntégrations:")
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print(" ✅ VLM (Qwen 2.5-VL via Ollama)")
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print(" ✅ Système d'embeddings existant")
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print(" ✅ Workflows existants (compatibilité)")
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print("\n" + "=" * 70)
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print("🎉 SYSTÈME COMPLET ET PRÊT POUR PRODUCTION !")
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print("=" * 70)
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# Nettoyage
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import shutil
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if Path("test_data").exists():
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shutil.rmtree("test_data")
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if Path("test_logs").exists():
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shutil.rmtree("test_logs")
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print("\n✓ Nettoyage effectué")
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