Update app.py

app.py

@@ -487,7 +487,7 @@ class TextToSQLSystem:
     def _validate_and_fix_sql(self, question: str, raw_response: str) -> Tuple[Optional[str], str]:
         """
         (V23 / 统一实体识别版)
-        一个全面、多层次的 SQL 验证与生成引擎。
+        一個全面、多層次的 SQL 驗證與生成引擎。
         引入了全新的、统一的实体识别引擎，能够准确解析 "买家 Gap", "c0761n", 
         "买家ID c0761n" 等多种复杂的实体提问模式。
         """
@@ -528,12 +528,12 @@ class TextToSQLSystem:
                     "column": p['column']
                 }
                 break
-        
+
         # --- 预先检测其他意图 ---
         job_no_match = re.search(r"(?:工單|jobno)\s*'\"?([A-Z]{2,3}\d+)'\"?", question, re.IGNORECASE)
         
         # --- 判断逻辑: 依优先级进入对应的模板 ---
-        if any(kw in q_lower for kw in ['報告號碼', '報告清單', '列出報告']):
+        if any(kw in q_lower for kw in ['報告號碼', '報告清單', '列出報告', 'report number', 'list of reports']):
             year_match = re.search(r'(\d{4})\s*年?', question)
             month_match = re.search(r'(\d{1,2})\s*月', question)
             from_clause = "FROM JobTimeline AS jt"
@@ -583,6 +583,12 @@ class TextToSQLSystem:
         fixed_sql = " " + parsed_sql.strip() + " "
         fixes_applied_fallback = []
         
+        dialect_corrections = {r'YEAR\s*\(([^)]+)\)': r"strftime('%Y', \1)"}
+        for pattern, replacement in dialect_corrections.items():
+            if re.search(pattern, fixed_sql, re.IGNORECASE):
+                fixed_sql = re.sub(pattern, replacement, fixed_sql, flags=re.IGNORECASE)
+                fixes_applied_fallback.append(f"修正方言: {pattern}")
+        
         schema_corrections = {'TSR53Report':'TSR53SampleDescription', 'TSR53InvoiceReportNo':'JobNo', 'TSR53ReportNo':'JobNo', 'TSR53InvoiceNo':'JobNo', 'TSR53InvoiceCreditNoteNo':'InvoiceCreditNoteNo', 'TSR53InvoiceLocalAmount':'LocalAmount', 'Status':'OverallRating', 'ReportStatus':'OverallRating'}
         for wrong, correct in schema_corrections.items():
             pattern = r'\b' + re.escape(wrong) + r'\b'