Delete data/qa_index.py

data/qa_index.py

@@ -1,61 +0,0 @@
-# data/qa_index.py – QA index from dataset + manual answers
-
-from typing import Dict, Optional
-
-from .loader import ENTRIES
-from .text_utils import normalize_question
-from .manual_answers import MANUAL_ANSWERS
-
-QA_INDEX: Dict[str, str] = {}
-
-
-def _build_qa_index():
-    for obj in ENTRIES:
-        for pair in obj.get("qa", []):
-            q = pair.get("q", "")
-            a = pair.get("a", "")
-            if q and a:
-                norm_q = normalize_question(q)
-                QA_INDEX[norm_q] = a.strip()
-
-
-_build_qa_index()
-
-
-def answer_from_qa(question: str) -> Optional[str]:
-    """
-    1) Manual teacher answers (MANUAL_ANSWERS) – highest priority.
-    2) Exact match from dataset QA_INDEX.
-    3) Fuzzy match over dataset QA_INDEX.
-    """
-    norm_q = normalize_question(question)
-
-    # 1) manual perfect answers
-    if norm_q in MANUAL_ANSWERS:
-        return MANUAL_ANSWERS[norm_q]
-
-    # 2) exact match from dataset
-    if norm_q in QA_INDEX:
-        return QA_INDEX[norm_q]
-
-    # 3) fuzzy match over dataset
-    if not QA_INDEX:
-        return None
-
-    best_score = 0
-    best_answer: Optional[str] = None
-
-    for stored_q, a in QA_INDEX.items():
-        score = 0
-        for ch in norm_q:
-            if ch and ch in stored_q:
-                score += 1
-
-        if score > best_score:
-            best_score = score
-            best_answer = a
-
-    if best_score > 0:
-        return best_answer
-
-    return None