fix: resolve 3 MEDIUM code review findings

M1: Cache confusion-pair confidences in Path B (eliminate redundant
    resolve_confusion_pair re-calls in _path_rule_engine)
M2: Resolve contradictions in Path C instead of hardcoding
    resolved_count=0 in _path_llm_assisted
M4: Add DIVIDE_25 to contradiction pair coverage (50-25, 100-25)
    and update test_contradiction_pairs_defined to verify all 3 variants

hina/pipeline/pipeline.py

@@ -157,11 +157,13 @@ def _path_rule_engine(
 
     # 2. 运行所有混淆组解析器
     resolved_types: dict[str, str] = {}
+    resolved_confidences: dict[str, float] = {}
     for pair_name in _PAIR_NAMES:
         try:
             result = resolve_confusion_pair(features, pair_name)
             if result["resolved_type"] != "unknown" and result["confidence"] > 0:
                 resolved_types[pair_name] = result["resolved_type"]
+                resolved_confidences[pair_name] = result["confidence"]
         except Exception as e:
             logger.debug("[pipeline] 混淆对 %s 解析异常: %s", pair_name, e)
 
@@ -192,16 +194,14 @@ def _path_rule_engine(
         final_base_confidence = keyword_info["confidence"]
 
     # 如果规则引擎有更高置信度的结果, 则采纳
+    # 使用第一轮缓存的结果（M1: 消除冗余重复调用）
     best_resolved_type = None
     best_resolved_conf = 0.0
     for pair_name, rtype in resolved_types.items():
-        try:
-            rr = resolve_confusion_pair(features, pair_name)
-            if rr["confidence"] > best_resolved_conf:
-                best_resolved_conf = rr["confidence"]
-                best_resolved_type = rtype
-        except Exception:
-            continue
+        cached_conf = resolved_confidences.get(pair_name, 0.0)
+        if cached_conf > best_resolved_conf:
+            best_resolved_conf = cached_conf
+            best_resolved_type = rtype
 
     if best_resolved_type and best_resolved_conf > final_base_confidence:
         final_category = best_resolved_type
@@ -272,7 +272,7 @@ def _path_llm_assisted(
         except Exception:
             continue
 
-    # 3. 矛盾检测
+    # 3. 矛盾检测与解决 (M2: 消除硬编码 resolved_count=0)
     resolved_types: dict[str, str] = {}
     for pair_name in _PAIR_NAMES:
         try:
@@ -285,6 +285,19 @@ def _path_llm_assisted(
     features["resolved_types"] = resolved_types
     contradictions = detect_contradictions(features)
 
+    resolution_map: dict[str, Any] = {
+        "resolved_count": 0,
+        "total_count": len(contradictions),
+    }
+    for c in contradictions:
+        try:
+            winner = resolve_contradiction(features, c)
+            if winner:
+                resolution_map[c.get("name", "unknown")] = winner
+                resolution_map["resolved_count"] += 1
+        except Exception as e:
+            logger.debug("[pipeline] Path C 矛盾解决异常: %s", e)
+
     # 4. 确信度计算
     keyword_result_v2 = _build_keyword_result_for_v2(keyword_info)
     keyword_result_v2["base_confidence"] = validated_confidence
@@ -295,7 +308,7 @@ def _path_llm_assisted(
         keyword_result=keyword_result_v2,
         structure_features=structure_features,
         contradictions=contradictions,
-        resolution={"resolved_count": 0, "total_count": len(contradictions)},
+        resolution=resolution_map,
     )
 
     return {