- Frontend v4 accessible sur réseau local (192.168.1.40) - Ports ouverts: 3002 (frontend), 5001 (backend), 5004 (dashboard) - Ollama GPU fonctionnel - Self-healing interactif - Dashboard confiance Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
55 lines
2.4 KiB
Python
55 lines
2.4 KiB
Python
from datetime import datetime
|
|
from core.execution.target_resolver import TargetResolver, ResolutionContext
|
|
from core.models.workflow_graph import TargetSpec
|
|
from core.models.screen_state import ScreenState, RawLevel, PerceptionLevel, ContextLevel, WindowContext, EmbeddingRef
|
|
from core.models.ui_element import UIElement, UIElementEmbeddings, VisualFeatures
|
|
|
|
def E(eid, role, bbox, label="", etype="ui"):
|
|
return UIElement(
|
|
element_id=eid, type=etype, role=role, bbox=bbox,
|
|
center=(bbox[0]+bbox[2]//2, bbox[1]+bbox[3]//2),
|
|
label=label, label_confidence=1.0,
|
|
embeddings=UIElementEmbeddings(image=None, text=None),
|
|
visual_features=VisualFeatures(dominant_color="n/a", has_icon=False, shape="rectangle", size_category="medium"),
|
|
confidence=0.95, tags=[], metadata={}
|
|
)
|
|
|
|
def S(elements, state_id="s"):
|
|
return ScreenState(
|
|
screen_state_id=state_id,
|
|
timestamp=datetime.now(),
|
|
session_id="sess",
|
|
window=WindowContext(app_name="app", window_title="Login", screen_resolution=[1920,1080]),
|
|
raw=RawLevel(screenshot_path="x", capture_method="test", file_size_bytes=1),
|
|
perception=PerceptionLevel(embedding=EmbeddingRef(provider="p", vector_id="v", dimensions=1),
|
|
detected_text=[], text_detection_method="none", confidence_avg=0.0),
|
|
context=ContextLevel(),
|
|
ui_elements=elements
|
|
)
|
|
|
|
def test_cross_frame_cache_near_bbox_finds_new_id():
|
|
r = TargetResolver()
|
|
|
|
# Frame 1: input id = inp_1
|
|
ui1 = [
|
|
E("lbl", "label", (100,100,120,20), "Username", "label"),
|
|
E("inp_1", "input", (240,95,260,30), "", "text_input"),
|
|
]
|
|
s1 = S(ui1, "s1")
|
|
spec = TargetSpec(by_role="input", context_hints={"field_for": "Username"})
|
|
|
|
res1 = r.resolve_target(spec, s1, ResolutionContext(screen_state=s1, previous_target=None))
|
|
assert res1 is not None
|
|
assert res1.element.element_id == "inp_1"
|
|
|
|
# Frame 2: même position mais nouvel id = inp_X (simule perception qui renumérote)
|
|
ui2 = [
|
|
E("lbl2", "label", (102,98,120,20), "Username", "label"),
|
|
E("inp_X", "input", (242,96,260,30), "", "text_input"),
|
|
]
|
|
s2 = S(ui2, "s2")
|
|
|
|
res2 = r.resolve_target(spec, s2, ResolutionContext(screen_state=s2, previous_target=None))
|
|
assert res2 is not None
|
|
assert res2.element.element_id == "inp_X"
|
|
assert res2.strategy_used in {"CROSS_FRAME_CACHE", "COMPOSITE"} |