feat: complete production hardening implementation, specialty canonicalization, google-genai migration, voice reliability, sqlite concurrency, and test suite consolidation

2026-09-07 12:57:54 +05:30
parent c23d979338
commit 92fa71ae4a
99 changed files with 5167 additions and 3550 deletions
@@ -0,0 +1,56 @@
+"""
+Allergy extraction engine distinguishing drug/food allergies from side effects.
+"""
+
+import re
+from typing import Dict, Any, List, Optional, Union
+
+ALLERGEN_PATTERNS = [
+    (r"(penicillin)", "Penicillin"),
+    (r"(sulfa)", "Sulfa drugs"),
+    (r"(aspirin)", "Aspirin"),
+    (r"(dust)", "Dust allergy"),
+    (r"(peanuts)", "Peanuts"),
+    (r"(milk|dairy)", "Milk / Dairy"),
+]
+
+
+def extract_allergies(
+    message: str,
+    normalized_msg: str,
+    last_ai_message: Optional[str] = None
+) -> Optional[Union[List[Dict[str, Any]], Dict[str, Any]]]:
+    """
+    Extracts structured allergies or confirmed_none container.
+    """
+    msg_lower = normalized_msg.lower()
+
+    # Check for explicit negation of allergies
+    neg_phrases = [
+        "no allergies", "no allergy", "no drug allergy", "no food allergy", "not allergic",
+        "nkda", "no allergic reaction", "அலர்ஜி எதுவும் இல்லை", "எந்த அலர்ஜியும் இல்லை",
+        "कोई एलर्जी नहीं", "कोई समस्या नहीं", "ఏ అలర్జీ లేదు", "ಯಾವ ಅಲರ್ಜಿ ಇಲ್ಲ"
+    ]
+    if any(neg in msg_lower for neg in neg_phrases):
+        return {"status": "confirmed_none", "items": []}
+
+    allergies: List[Dict[str, Any]] = []
+    has_allergen = any(re.search(pat, msg_lower) for pat, _ in ALLERGEN_PATTERNS)
+    has_alg_indicator = any(k in msg_lower or k in message for k in ["allergic", "allergy", "அலர்ஜி", "ஒவ்வாமை", "एलर्जी", "rash", "reaction", "side effect", "தடிப்பு", "எடுத்தா"])
+
+    # Side effect distinction: "Paracetamol didn't reduce fever" is NOT an allergy
+    if "didn't reduce" in msg_lower or "didn't work" in msg_lower or "no effect" in msg_lower:
+        return None
+
+    if has_allergen or has_alg_indicator:
+        for pat, allergen in ALLERGEN_PATTERNS:
+            if re.search(pat, msg_lower):
+                alg_obj: Dict[str, Any] = {"name": allergen}
+                if "rash" in msg_lower or "தடிப்பு" in message or "खुजली" in message:
+                    alg_obj["reaction"] = "Rash / Skin reaction"
+                allergies.append(alg_obj)
+
+        if not allergies and has_alg_indicator:
+            allergies.append({"name": "Reported allergy", "type": "unspecified"})
+
+    return allergies if allergies else None