import hashlib
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import random
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from typing import Any
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from app.config import settings
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SCENE_CATALOG = [
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("home_bedroom", "居家-卧室", "Let's talk about your morning routine."),
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("home_kitchen", "居家-厨房", "What would you like to cook today?"),
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("home_study", "居家-书房", "Shall we review your vocabulary?"),
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("school", "校内", "How was your class today?"),
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("commute", "通勤", "What do you see on your way?"),
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("exercise", "运动", "How do you stay active?"),
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("dining", "用餐", "What are you having for dinner?"),
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]
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GENERIC_GREETING = "Hello! How can I help you practice English today?"
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class SceneEngine:
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def __init__(self, threshold: float | None = None) -> None:
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self.threshold = threshold or settings.scene_confidence_threshold
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def _derive_seed(self, device_id: str, timestamp: int, hints: dict[str, Any]) -> int:
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raw = f"{device_id}:{timestamp}:{hints.get('mode', '')}"
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return int(hashlib.md5(raw.encode()).hexdigest()[:8], 16)
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def analyze(
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self,
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device_id: str,
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timestamp: int,
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context_hints: dict[str, Any] | None = None,
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) -> dict[str, Any]:
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hints = context_hints or {}
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rng = random.Random(self._derive_seed(device_id, timestamp, hints))
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if hints.get("scene"):
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scene_key = hints["scene"]
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match = next((s for s in SCENE_CATALOG if s[0] == scene_key), None)
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if match:
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confidence = float(hints.get("confidence", 0.85))
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return self._build_result(match, confidence)
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idx = rng.randint(0, len(SCENE_CATALOG) - 1)
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confidence = round(rng.uniform(0.55, 0.95), 2)
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return self._build_result(SCENE_CATALOG[idx], confidence)
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def _build_result(self, scene: tuple[str, str, str], confidence: float) -> dict[str, Any]:
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scene_key, scene_label, prompt = scene
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use_generic = confidence < self.threshold
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return {
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"scene": scene_label,
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"scene_key": scene_key,
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"confidence": confidence,
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"greeting_strategy": "generic" if use_generic else "contextual",
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"suggested_intent": GENERIC_GREETING if use_generic else prompt,
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}
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