feat(v2): 实现SQLite对公租赁经验加工与卡片预审轨迹闭环

backend/services/skill_executor.py

@@ -23,10 +23,48 @@ def ratio(numerator, denominator):
     return str((n / d).quantize(Decimal("0.0001"), rounding=ROUND_HALF_UP))
 
 
+
+def applicability_checks(skill, values, sources):
+    """One predicate implementation for deterministic and model Skills (BR-66)."""
+    fields = []
+    def matches(condition):
+        field = condition['field']; fields.append(field)
+        value = values.get(field)
+        if value is None:
+            return None
+        expected = condition.get('threshold', condition.get('value'))
+        op = condition['operator']
+        if op == 'eq' and isinstance(expected, bool):
+            return value == expected
+        try:
+            a, b = number(value), number(expected)
+            return {'eq': a == b, 'lt': a < b, 'lte': a <= b, 'gt': a > b, 'gte': a >= b}[op]
+        except (ValueError, KeyError):
+            return None
+    conditions = [matches(c) for c in skill.get('conditions', [])]
+    exceptions = [matches(c) for c in skill.get('exceptions', [])]
+    exception_field = skill.get('exception_field')
+    if exception_field:
+        fields.append(exception_field)
+        exceptions.append(values.get(exception_field) not in (None, '', False))
+    result = ('not_applicable' if False in conditions or True in exceptions else
+              'unknown' if None in conditions or None in exceptions else None)
+    if result is None:
+        return None
+    return [{'code': skill.get('code', skill['id'] + '.applicability'),
+             'title': skill.get('title', skill['name']) + '适用性', 'result': result,
+             'fields': fields, 'evidence_ids': [r['id'] for f in fields for r in sources.get(f, [])],
+             'basis_ids': [skill['id'] + '@' + skill['version']], 'severity': 'attention',
+             'suggested_action': '补充适用条件依据' if result == 'unknown' else '本次不适用，保留判定依据'}]
+
+
 def execute_skill(skill, values, sources):
     engine = skill.get("engine")
     if engine not in EXECUTORS or engine == "model":
         raise ValueError("不支持的确定性执行器")
+    gate = applicability_checks(skill, values, sources)
+    if gate is not None:
+        return {}, gate
     checks, outputs = [], {}
     fields = skill.get("inputs", [])
     def check(code, title, result, refs, action="请核实材料与口径"):