feat: SurfaceClassifier + UIAHelper — détection et wrapper Python
SurfaceClassifier — détecte le type d'application au runtime - 4 surfaces : citrix / windows_native / web_local / unknown - Paramètres adaptés par surface : * Citrix : OCR 0.65, timeouts 15s, retries 3x (compression JPEG tolérée) * Windows natif : OCR 0.75, timeouts 8s, UIA bonus si dispo * Web : OCR 0.80, timeouts 5s, paramètres rapides * Unknown : fallback sûr - resolve_order() construit la chaîne selon les capacités disponibles - Détection UIA via health check du helper Rust - Détection CDP via localhost:9222 UIAHelper — wrapper Python pour lea_uia.exe - Subprocess + JSON stdin/stdout - 3 méthodes : query_at(x,y), find_by_name(name,...), capture_focused() - Fallback silencieux (None) si helper absent, timeout, crash - Singleton global get_shared_helper() - Dataclass UiaElement avec center(), is_clickable(), path_signature() 29 nouveaux tests (détection 4 surfaces, dataclass, wrapper, mocks). 485 tests au total, 0 régression. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
337
core/workflow/surface_classifier.py
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337
core/workflow/surface_classifier.py
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# core/workflow/surface_classifier.py
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"""
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SurfaceClassifier — détecte le type de surface applicative au moment de l'exécution.
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4 types de surfaces reconnus :
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- citrix : session Citrix/RDP/TSE (wfica32.exe, mstsc.exe, CDViewer.exe)
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→ vision pure obligatoire, paramètres tolérants
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- windows_native : application Windows native (notepad.exe, explorer.exe, DPI...)
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→ vision + UIA bonus, paramètres standards
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- web_local : navigateur local (chrome.exe, firefox.exe, msedge.exe)
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→ vision + DOM/CDP bonus (si activé), paramètres rapides
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- unknown : fallback → vision pure, paramètres par défaut
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Le classifier s'exécute UNE SEULE FOIS au début d'une session ou d'un replay.
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Son résultat détermine :
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1. Quels helpers sont activés (UIA ? CDP ?)
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2. Les paramètres de résolution (timeouts, seuils OCR)
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3. La stratégie de recovery
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Principe : la vision reste le fondement. Le classifier décide juste
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des bonus à activer et des paramètres à tuner.
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"""
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import logging
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import os
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import platform
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import subprocess
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from dataclasses import dataclass, field
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from enum import Enum
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from typing import Any, Dict, List, Optional
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logger = logging.getLogger(__name__)
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class SurfaceType(str, Enum):
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"""Types de surfaces applicatives."""
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CITRIX = "citrix"
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WINDOWS_NATIVE = "windows_native"
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WEB_LOCAL = "web_local"
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UNKNOWN = "unknown"
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# Processus connus par type de surface
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_CITRIX_PROCESSES = {
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"wfica32.exe", # Citrix Workspace (Windows 10+)
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"cdviewer.exe", # Citrix Desktop Viewer
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"cdviewer.exe",
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"mstsc.exe", # Microsoft Remote Desktop
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"vmware-vmx.exe", # VMware (cas RDS)
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"xen.exe", # Citrix XenApp
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"receiver.exe", # Citrix Receiver (ancien)
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"selfservice.exe", # Citrix Self-Service Plug-in
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}
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_BROWSER_PROCESSES = {
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"chrome.exe",
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"msedge.exe",
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"firefox.exe",
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"brave.exe",
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"opera.exe",
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"vivaldi.exe",
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}
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# Processus système Windows qui ne sont PAS des surfaces applicatives
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_SYSTEM_PROCESSES = {
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"explorer.exe", # Shell Windows (cas spécial — on le compte comme natif)
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"searchhost.exe", # Recherche Windows
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"startmenuexperiencehost.exe",
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"shellexperiencehost.exe",
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"applicationframehost.exe",
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}
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@dataclass
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class SurfaceProfile:
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"""Profil complet d'une surface détectée."""
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surface_type: SurfaceType
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process_name: str = "" # Processus de la fenêtre active
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window_title: str = "" # Titre de la fenêtre active
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confidence: float = 1.0 # Confiance de la détection (0-1)
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# Capacités disponibles
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uia_available: bool = False # Le helper UIA peut être utilisé
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cdp_available: bool = False # Chrome DevTools Protocol accessible
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ocr_available: bool = True # OCR toujours dispo (docTR)
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vlm_available: bool = True # VLM toujours dispo (qwen2.5vl)
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# Paramètres adaptés à la surface
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timeout_click_ms: int = 10000
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timeout_resolve_ms: int = 5000
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ocr_threshold: float = 0.75
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template_threshold: float = 0.85
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max_retries: int = 2
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retry_delay_ms: int = 2000
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# Métadonnées
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detected_at: float = 0.0
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details: Dict[str, Any] = field(default_factory=dict)
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def to_dict(self) -> Dict[str, Any]:
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return {
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"surface_type": self.surface_type.value,
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"process_name": self.process_name,
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"window_title": self.window_title,
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"confidence": round(self.confidence, 3),
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"capabilities": {
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"uia": self.uia_available,
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"cdp": self.cdp_available,
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"ocr": self.ocr_available,
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"vlm": self.vlm_available,
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},
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"parameters": {
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"timeout_click_ms": self.timeout_click_ms,
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"timeout_resolve_ms": self.timeout_resolve_ms,
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"ocr_threshold": self.ocr_threshold,
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"template_threshold": self.template_threshold,
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"max_retries": self.max_retries,
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"retry_delay_ms": self.retry_delay_ms,
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},
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"details": self.details,
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}
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def resolve_order(self) -> List[str]:
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"""Construire l'ordre de résolution selon la surface et les capacités."""
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order = []
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if self.uia_available and self.surface_type == SurfaceType.WINDOWS_NATIVE:
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order.append("uia")
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if self.cdp_available and self.surface_type == SurfaceType.WEB_LOCAL:
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order.append("dom")
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order.extend(["ocr", "template", "vlm"])
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return order
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class SurfaceClassifier:
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"""Détecte la surface et configure les paramètres adaptés.
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Usage :
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classifier = SurfaceClassifier()
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profile = classifier.classify(process="notepad.exe", title="Sans titre – Bloc-notes")
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if profile.uia_available:
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# Utiliser lea_uia.exe
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"""
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def __init__(self, uia_helper_path: str = ""):
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"""
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Args:
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uia_helper_path: Chemin vers lea_uia.exe (optionnel, auto-détection sinon)
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"""
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self._uia_helper_path = uia_helper_path or self._find_uia_helper()
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def _find_uia_helper(self) -> str:
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"""Trouver lea_uia.exe dans les emplacements standards."""
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candidates = [
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r"C:\Lea\helpers\lea_uia.exe",
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r".\helpers\lea_uia.exe",
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os.path.join(os.path.dirname(__file__), "..", "..", "agent_rust", "lea_uia",
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"target", "x86_64-pc-windows-gnu", "release", "lea_uia.exe"),
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]
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for path in candidates:
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if os.path.isfile(path):
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return os.path.abspath(path)
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return ""
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def classify(
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self,
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process_name: str = "",
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window_title: str = "",
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screen_info: Optional[Dict] = None,
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) -> SurfaceProfile:
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"""Classifier une surface depuis le contexte fenêtre.
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Args:
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process_name: Nom du processus (ex: "notepad.exe")
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window_title: Titre de la fenêtre active
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screen_info: Infos écran (résolution, DPI, compression détectée)
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"""
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import time
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process_lower = process_name.lower().strip()
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title_lower = window_title.lower()
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# Détection Citrix — priorité absolue
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if process_lower in _CITRIX_PROCESSES:
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return self._build_citrix_profile(process_name, window_title, time.time())
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# Titre Citrix (ex: "Session Citrix", "Citrix Receiver")
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if any(marker in title_lower for marker in ["citrix", "ica session", "rdp session"]):
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return self._build_citrix_profile(process_name, window_title, time.time())
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# Navigateur
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if process_lower in _BROWSER_PROCESSES:
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# Cas particulier : navigateur qui contient du Citrix embedded
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if "citrix" in title_lower:
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return self._build_citrix_profile(process_name, window_title, time.time())
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return self._build_web_profile(process_name, window_title, time.time())
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# Application Windows native
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if process_lower.endswith(".exe") and process_lower not in _SYSTEM_PROCESSES:
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return self._build_windows_profile(process_name, window_title, time.time())
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# Shell Windows (explorer.exe) — compté comme natif
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if process_lower == "explorer.exe":
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return self._build_windows_profile(process_name, window_title, time.time())
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# Unknown — fallback sûr
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return self._build_unknown_profile(process_name, window_title, time.time())
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def _build_citrix_profile(self, process: str, title: str, ts: float) -> SurfaceProfile:
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"""Profil Citrix — vision pure, paramètres tolérants."""
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return SurfaceProfile(
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surface_type=SurfaceType.CITRIX,
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process_name=process,
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window_title=title,
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confidence=0.95,
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uia_available=False, # UIA n'est pas dispo dans Citrix
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cdp_available=False,
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ocr_available=True,
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vlm_available=True,
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# Citrix : compression JPEG, latence, retries agressifs
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timeout_click_ms=15000,
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timeout_resolve_ms=10000,
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ocr_threshold=0.65, # Plus tolérant (compression)
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template_threshold=0.75, # Plus tolérant
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max_retries=3,
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retry_delay_ms=3000,
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detected_at=ts,
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details={"reason": "citrix_process_or_title"},
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)
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def _build_windows_profile(self, process: str, title: str, ts: float) -> SurfaceProfile:
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"""Profil Windows natif — vision + UIA bonus."""
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uia_ok = self._check_uia_available()
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return SurfaceProfile(
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surface_type=SurfaceType.WINDOWS_NATIVE,
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process_name=process,
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window_title=title,
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confidence=0.9,
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uia_available=uia_ok,
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cdp_available=False,
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ocr_available=True,
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vlm_available=True,
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timeout_click_ms=8000,
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timeout_resolve_ms=5000,
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ocr_threshold=0.75,
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template_threshold=0.85,
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max_retries=2,
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retry_delay_ms=2000,
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detected_at=ts,
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details={
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"reason": "native_windows_process",
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"uia_helper": self._uia_helper_path if uia_ok else "",
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},
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)
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def _build_web_profile(self, process: str, title: str, ts: float) -> SurfaceProfile:
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"""Profil web local — vision (+ CDP plus tard)."""
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cdp_ok = self._check_cdp_available()
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return SurfaceProfile(
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surface_type=SurfaceType.WEB_LOCAL,
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process_name=process,
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window_title=title,
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confidence=0.9,
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uia_available=False, # UIA limité pour les navigateurs
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cdp_available=cdp_ok,
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ocr_available=True,
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vlm_available=True,
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# Web local : rapide, texte bien rendu
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timeout_click_ms=5000,
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timeout_resolve_ms=3000,
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ocr_threshold=0.80,
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template_threshold=0.88,
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max_retries=1,
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retry_delay_ms=1000,
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detected_at=ts,
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details={"reason": "browser_process"},
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)
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def _build_unknown_profile(self, process: str, title: str, ts: float) -> SurfaceProfile:
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"""Profil inconnu — paramètres sûrs par défaut."""
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return SurfaceProfile(
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surface_type=SurfaceType.UNKNOWN,
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process_name=process,
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window_title=title,
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confidence=0.5,
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uia_available=False,
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cdp_available=False,
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ocr_available=True,
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vlm_available=True,
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timeout_click_ms=10000,
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timeout_resolve_ms=5000,
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ocr_threshold=0.70,
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template_threshold=0.80,
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max_retries=2,
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retry_delay_ms=2000,
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detected_at=ts,
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details={"reason": "fallback"},
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)
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def _check_uia_available(self) -> bool:
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"""Vérifier que lea_uia.exe est dispo et fonctionnel.
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Sur Windows : appelle `lea_uia.exe health`.
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Sur Linux : toujours False (stub).
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"""
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if platform.system() != "Windows":
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return False
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if not self._uia_helper_path or not os.path.isfile(self._uia_helper_path):
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return False
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try:
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result = subprocess.run(
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[self._uia_helper_path, "health"],
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capture_output=True,
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text=True,
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timeout=5,
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)
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if result.returncode != 0:
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return False
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import json
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data = json.loads(result.stdout.strip())
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return data.get("status") == "ok"
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except Exception as e:
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logger.debug(f"UIA health check failed: {e}")
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return False
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def _check_cdp_available(self) -> bool:
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"""Vérifier que Chrome DevTools Protocol est accessible.
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Teste la présence d'un endpoint CDP sur localhost:9222.
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"""
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try:
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import urllib.request
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with urllib.request.urlopen(
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"http://localhost:9222/json/version", timeout=1
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) as resp:
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return resp.status == 200
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except Exception:
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return False
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278
core/workflow/uia_helper.py
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278
core/workflow/uia_helper.py
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@@ -0,0 +1,278 @@
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# core/workflow/uia_helper.py
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"""
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UIAHelper — Wrapper Python pour lea_uia.exe (helper Rust UI Automation).
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Expose une API Python simple pour interroger UIA via le binaire Rust.
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Communique via subprocess + stdin/stdout JSON.
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Pourquoi un helper Rust ?
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- 5-10x plus rapide que pywinauto (10-20ms vs 50-200ms)
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- Binaire standalone ~500 Ko, aucune dépendance runtime
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- Pas de problèmes de threading COM en Python
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- Crash-safe (le crash du helper n'affecte pas l'agent Python)
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Architecture :
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Python executor
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↓ subprocess.run
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lea_uia.exe query --x 812 --y 436
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↓ UIA API Windows
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JSON response
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↓ stdout
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Python executor parse JSON
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Si lea_uia.exe n'est pas disponible (Linux, binaire absent, crash) :
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toutes les méthodes retournent None → fallback vision automatique.
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"""
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import json
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import logging
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import os
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import platform
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import subprocess
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from dataclasses import dataclass, field
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from typing import Any, Dict, List, Optional, Tuple
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logger = logging.getLogger(__name__)
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# Timeout par défaut pour les appels UIA (en secondes)
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_DEFAULT_TIMEOUT = 5.0
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@dataclass
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class UiaElement:
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"""Représentation Python d'un élément UIA."""
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name: str = ""
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control_type: str = ""
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class_name: str = ""
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automation_id: str = ""
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bounding_rect: Tuple[int, int, int, int] = (0, 0, 0, 0)
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is_enabled: bool = False
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is_offscreen: bool = True
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parent_path: List[Dict[str, str]] = field(default_factory=list)
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process_name: str = ""
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def center(self) -> Tuple[int, int]:
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"""Retourner le centre du rectangle (pixels)."""
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x1, y1, x2, y2 = self.bounding_rect
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return ((x1 + x2) // 2, (y1 + y2) // 2)
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def width(self) -> int:
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return self.bounding_rect[2] - self.bounding_rect[0]
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def height(self) -> int:
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return self.bounding_rect[3] - self.bounding_rect[1]
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def is_clickable(self) -> bool:
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"""Peut-on cliquer dessus ?"""
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return (
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self.is_enabled
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and not self.is_offscreen
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and self.width() > 0
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and self.height() > 0
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)
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def path_signature(self) -> str:
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"""Signature du chemin parent (pour retrouver l'élément)."""
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parts = [f"{p['control_type']}[{p['name']}]" for p in self.parent_path if p.get("name")]
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parts.append(f"{self.control_type}[{self.name}]")
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return " > ".join(parts)
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def to_dict(self) -> Dict[str, Any]:
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return {
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"name": self.name,
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"control_type": self.control_type,
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"class_name": self.class_name,
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"automation_id": self.automation_id,
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"bounding_rect": list(self.bounding_rect),
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"is_enabled": self.is_enabled,
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"is_offscreen": self.is_offscreen,
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"parent_path": self.parent_path,
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"process_name": self.process_name,
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}
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@classmethod
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def from_dict(cls, d: Dict[str, Any]) -> "UiaElement":
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rect = d.get("bounding_rect", [0, 0, 0, 0])
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if isinstance(rect, list) and len(rect) >= 4:
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rect = tuple(rect[:4])
|
||||
else:
|
||||
rect = (0, 0, 0, 0)
|
||||
return cls(
|
||||
name=d.get("name", ""),
|
||||
control_type=d.get("control_type", ""),
|
||||
class_name=d.get("class_name", ""),
|
||||
automation_id=d.get("automation_id", ""),
|
||||
bounding_rect=rect,
|
||||
is_enabled=d.get("is_enabled", False),
|
||||
is_offscreen=d.get("is_offscreen", True),
|
||||
parent_path=d.get("parent_path", []),
|
||||
process_name=d.get("process_name", ""),
|
||||
)
|
||||
|
||||
|
||||
class UIAHelper:
|
||||
"""Wrapper Python pour lea_uia.exe."""
|
||||
|
||||
def __init__(self, helper_path: str = "", timeout: float = _DEFAULT_TIMEOUT):
|
||||
self._helper_path = helper_path or self._find_helper()
|
||||
self._timeout = timeout
|
||||
self._available = self._check_available()
|
||||
|
||||
def _find_helper(self) -> str:
|
||||
"""Trouver lea_uia.exe dans les emplacements standards."""
|
||||
candidates = [
|
||||
r"C:\Lea\helpers\lea_uia.exe",
|
||||
os.path.join(os.path.dirname(__file__), "..", "..",
|
||||
"agent_rust", "lea_uia", "target",
|
||||
"x86_64-pc-windows-gnu", "release", "lea_uia.exe"),
|
||||
"./helpers/lea_uia.exe",
|
||||
"lea_uia.exe",
|
||||
]
|
||||
for path in candidates:
|
||||
if os.path.isfile(path):
|
||||
return os.path.abspath(path)
|
||||
return ""
|
||||
|
||||
def _check_available(self) -> bool:
|
||||
"""Vérifier que le helper est utilisable (Windows + binaire + health OK)."""
|
||||
if platform.system() != "Windows":
|
||||
logger.debug("UIAHelper: Linux/Mac — helper désactivé")
|
||||
return False
|
||||
if not self._helper_path:
|
||||
logger.debug("UIAHelper: lea_uia.exe introuvable")
|
||||
return False
|
||||
if not os.path.isfile(self._helper_path):
|
||||
logger.debug(f"UIAHelper: chemin invalide {self._helper_path}")
|
||||
return False
|
||||
return True
|
||||
|
||||
@property
|
||||
def available(self) -> bool:
|
||||
return self._available
|
||||
|
||||
@property
|
||||
def helper_path(self) -> str:
|
||||
return self._helper_path
|
||||
|
||||
def _run(self, args: List[str]) -> Optional[Dict[str, Any]]:
|
||||
"""Exécuter lea_uia.exe avec les arguments et parser le JSON."""
|
||||
if not self._available:
|
||||
return None
|
||||
try:
|
||||
result = subprocess.run(
|
||||
[self._helper_path] + args,
|
||||
capture_output=True,
|
||||
text=True,
|
||||
timeout=self._timeout,
|
||||
encoding="utf-8",
|
||||
errors="replace",
|
||||
)
|
||||
if result.returncode != 0:
|
||||
logger.debug(
|
||||
f"UIAHelper: exit code {result.returncode}, "
|
||||
f"stderr: {result.stderr[:200]}"
|
||||
)
|
||||
return None
|
||||
output = result.stdout.strip()
|
||||
if not output:
|
||||
return None
|
||||
return json.loads(output)
|
||||
except subprocess.TimeoutExpired:
|
||||
logger.debug(f"UIAHelper: timeout ({self._timeout}s) sur {args}")
|
||||
return None
|
||||
except json.JSONDecodeError as e:
|
||||
logger.debug(f"UIAHelper: JSON invalide — {e}")
|
||||
return None
|
||||
except Exception as e:
|
||||
logger.debug(f"UIAHelper: erreur {e}")
|
||||
return None
|
||||
|
||||
def health(self) -> bool:
|
||||
"""Vérifier que UIA répond."""
|
||||
data = self._run(["health"])
|
||||
return data is not None and data.get("status") == "ok"
|
||||
|
||||
def query_at(
|
||||
self,
|
||||
x: int,
|
||||
y: int,
|
||||
with_parents: bool = True,
|
||||
) -> Optional[UiaElement]:
|
||||
"""Récupérer l'élément UIA à une position écran.
|
||||
|
||||
Args:
|
||||
x, y: Coordonnées pixel absolues
|
||||
with_parents: Inclure la hiérarchie des parents
|
||||
|
||||
Returns:
|
||||
UiaElement si trouvé, None sinon (pas d'élément ou UIA indispo)
|
||||
"""
|
||||
args = ["query", "--x", str(x), "--y", str(y)]
|
||||
if not with_parents:
|
||||
args.append("--with-parents=false")
|
||||
|
||||
data = self._run(args)
|
||||
if not data or data.get("status") != "ok":
|
||||
return None
|
||||
|
||||
elem_data = data.get("element")
|
||||
if not elem_data:
|
||||
return None
|
||||
return UiaElement.from_dict(elem_data)
|
||||
|
||||
def find_by_name(
|
||||
self,
|
||||
name: str,
|
||||
control_type: Optional[str] = None,
|
||||
automation_id: Optional[str] = None,
|
||||
window: Optional[str] = None,
|
||||
timeout_ms: int = 2000,
|
||||
) -> Optional[UiaElement]:
|
||||
"""Rechercher un élément par son nom (+ filtres optionnels).
|
||||
|
||||
Args:
|
||||
name: Nom exact de l'élément
|
||||
control_type: Type de contrôle (Button, Edit, MenuItem...)
|
||||
automation_id: ID d'automation
|
||||
window: Restreindre à une fenêtre spécifique
|
||||
timeout_ms: Timeout de recherche en millisecondes
|
||||
"""
|
||||
args = ["find", "--name", name, "--timeout-ms", str(timeout_ms)]
|
||||
if control_type:
|
||||
args.extend(["--control-type", control_type])
|
||||
if automation_id:
|
||||
args.extend(["--automation-id", automation_id])
|
||||
if window:
|
||||
args.extend(["--window", window])
|
||||
|
||||
data = self._run(args)
|
||||
if not data or data.get("status") != "ok":
|
||||
return None
|
||||
|
||||
elem_data = data.get("element")
|
||||
if not elem_data:
|
||||
return None
|
||||
return UiaElement.from_dict(elem_data)
|
||||
|
||||
def capture_focused(self, max_depth: int = 3) -> Optional[UiaElement]:
|
||||
"""Capturer l'élément ayant le focus + son contexte."""
|
||||
data = self._run(["capture", "--max-depth", str(max_depth)])
|
||||
if not data or data.get("status") != "ok":
|
||||
return None
|
||||
|
||||
elem_data = data.get("element")
|
||||
if not elem_data:
|
||||
return None
|
||||
return UiaElement.from_dict(elem_data)
|
||||
|
||||
|
||||
# Instance globale partagée (singleton léger)
|
||||
_SHARED_HELPER: Optional[UIAHelper] = None
|
||||
|
||||
|
||||
def get_shared_helper() -> UIAHelper:
|
||||
"""Retourner une instance partagée de UIAHelper."""
|
||||
global _SHARED_HELPER
|
||||
if _SHARED_HELPER is None:
|
||||
_SHARED_HELPER = UIAHelper()
|
||||
return _SHARED_HELPER
|
||||
Reference in New Issue
Block a user