Refonte majeure du système Agent Chat et ajout de nombreux modules : - Chat unifié : suppression du dual Workflows/Agent Libre, tout passe par /api/chat avec résolution en 3 niveaux (workflow → geste → "montre-moi") - GestureCatalog : 38 raccourcis clavier universels Windows avec matching sémantique, substitution automatique dans les replays, et endpoint /api/gestures - Mode Copilot : exécution pas-à-pas des workflows avec validation humaine via WebSocket (approve/skip/abort) avant chaque action - Léa UI (agent_v0/lea_ui/) : interface PyQt5 pour Windows avec overlay transparent pour feedback visuel pendant le replay - Data Extraction (core/extraction/) : moteur d'extraction visuelle de données (OCR + VLM → SQLite), avec schémas YAML et export CSV/Excel - ReplayVerifier (agent_v0/server_v1/) : vérification post-action par comparaison de screenshots, avec logique de retry (max 3) - IntentParser durci : meilleur fallback regex, type GREETING, patterns améliorés - Dashboard : nouvelles pages gestures, streaming, extractions - Tests : 63 tests GestureCatalog, 47 tests extraction, corrections tests existants - Dépréciation : /api/agent/plan et /api/agent/execute retournent HTTP 410, suppression du code hardcodé _plan_to_replay_actions Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
127 lines
4.8 KiB
Python
127 lines
4.8 KiB
Python
"""
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Tests pour Fiche #6 - Sniper Mode : Ranking/Scoring
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Auteur: Dom, Alice Kiro - 15 décembre 2024
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Objectif: Valider que le resolver classe et choisit le bon élément de manière stable
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Tests:
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1. Sniper choisit l'élément le plus proche de l'ancre
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2. Tie-break stable par element_id
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"""
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import pytest
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# Marquer tous les tests de ce fichier comme fiche6
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pytestmark = pytest.mark.fiche6
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from datetime import datetime
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from core.execution.target_resolver import TargetResolver, ResolutionContext
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from core.models.workflow_graph import TargetSpec
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from core.models.screen_state import ScreenState, RawLevel, PerceptionLevel, ContextLevel, WindowContext, EmbeddingRef
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from core.models.ui_element import UIElement, UIElementEmbeddings, VisualFeatures
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def _elem(eid, role, bbox, label="", conf=0.9, etype="ui"):
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"""Helper pour créer un UIElement rapidement"""
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return UIElement(
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element_id=eid,
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type=etype,
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role=role,
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bbox=bbox, # XYWH
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center=(bbox[0] + bbox[2] // 2, bbox[1] + bbox[3] // 2),
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label=label,
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label_confidence=1.0,
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embeddings=UIElementEmbeddings(image=None, text=None),
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visual_features=VisualFeatures(dominant_color="n/a", has_icon=False, shape="rectangle", size_category="medium"),
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confidence=conf,
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tags=[],
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metadata={},
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)
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def _screen(elements):
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"""Helper pour créer un ScreenState rapidement"""
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return ScreenState(
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screen_state_id="s1",
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timestamp=datetime.now(),
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session_id="sess",
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window=WindowContext(app_name="app", window_title="win", screen_resolution=[1920, 1080]),
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raw=RawLevel(screenshot_path="x.png", capture_method="test", file_size_bytes=1),
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perception=PerceptionLevel(
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embedding=EmbeddingRef(provider="p", vector_id="v", dimensions=1),
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detected_text=[],
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text_detection_method="none",
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confidence_avg=0.0,
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),
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context=ContextLevel(),
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ui_elements=elements
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)
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def test_sniper_picks_nearest_to_anchor():
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"""Test que le sniper choisit l'élément le plus proche de l'ancre"""
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# label + 2 inputs (tous deux "valides" role=input), le plus proche doit gagner
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anchor = _elem("lbl_user", "label", (100, 100, 120, 20), "Username", conf=1.0)
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near_input = _elem("in_near", "input", (240, 95, 200, 30), "", conf=0.9, etype="text_input")
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far_input = _elem("in_far", "input", (240, 300, 200, 30), "", conf=0.9, etype="text_input")
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screen = _screen([far_input, anchor, near_input])
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spec = TargetSpec(
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by_role="input",
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context_hints={"near_text": "Username"},
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selection_policy="first"
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)
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r = TargetResolver()
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ctx = ResolutionContext(screen_state=screen, previous_target=None)
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res = r.resolve_target(spec, screen, ctx)
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assert res is not None
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assert res.element.element_id == "in_near"
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def test_sniper_tie_break_is_stable():
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"""Test que le tie-break est stable par element_id"""
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# Deux candidats identiques → tie-break par element_id (stable)
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anchor = _elem("lbl", "label", (100, 100, 120, 20), "Username", conf=1.0)
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a = _elem("a_elem", "input", (240, 95, 200, 30), "", conf=0.9, etype="text_input")
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b = _elem("b_elem", "input", (240, 95, 200, 30), "", conf=0.9, etype="text_input")
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screen = _screen([anchor, b, a])
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spec = TargetSpec(by_role="input", context_hints={"near_text": "Username"})
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r = TargetResolver()
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ctx = ResolutionContext(screen_state=screen, previous_target=None)
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res = r.resolve_target(spec, screen, ctx)
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assert res is not None
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# Tie-break par element_id : le résultat doit être stable (toujours le même)
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# L'ordre dépend du tri interne du resolver (min ou max par element_id)
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assert res.element.element_id in ("a_elem", "b_elem")
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def test_sniper_debug_info_available():
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"""Test que les infos de debug (top3) sont disponibles"""
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anchor = _elem("lbl", "label", (100, 100, 120, 20), "Username", conf=1.0)
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input1 = _elem("input1", "input", (240, 95, 200, 30), "", conf=0.9, etype="text_input")
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input2 = _elem("input2", "input", (240, 150, 200, 30), "", conf=0.8, etype="text_input")
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input3 = _elem("input3", "input", (240, 200, 200, 30), "", conf=0.7, etype="text_input")
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screen = _screen([anchor, input1, input2, input3])
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spec = TargetSpec(by_role="input", context_hints={"near_text": "Username"})
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r = TargetResolver()
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ctx = ResolutionContext(screen_state=screen, previous_target=None)
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res = r.resolve_target(spec, screen, ctx)
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assert res is not None
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assert hasattr(res, 'resolution_details')
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assert 'top3' in res.resolution_details
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assert len(res.resolution_details['top3']) <= 3
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assert 'anchor_id' in res.resolution_details
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assert res.resolution_details['anchor_id'] == "lbl"
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if __name__ == "__main__":
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pytest.main([__file__, "-v"]) |