feat：LLM 分析文件并生成结构化建议

app/datafiles/tables.py

@@ -8,8 +8,8 @@ import re
 from dataclasses import dataclass, field
 from typing import Any
 
-from app.datafiles.base import MAX_TABLE_ROWS, rows_exceeded, where
-from app.datafiles.columns import classify, label_text
+from app.datafiles.base import MAX_TABLE_ROWS, brief, rows_exceeded, where
+from app.datafiles.columns import as_text, classify
 from app.datafiles.readers import Grid
 from app.schemas.data_file import ParseWarning
 
@@ -209,9 +209,7 @@ def _finish(rows: list[list[Any]], piece: _Piece, sheet: str | None) -> RawTable
     totals = [index for index, row in data if _is_total(row)]
     if totals:
         data = [(index, row) for index, row in data if not _is_total(row)]
-        listed = "、".join(str(index + 1) for index in totals[:5]) + (
-            "等" if len(totals) > 5 else ""
-        )
+        listed = brief([str(index + 1) for index in totals])
         warnings.append(
             ParseWarning(
                 code="total_rows_removed",
@@ -250,7 +248,7 @@ def _merge_header(top: list[Any], sub: list[Any]) -> list[str]:
     for upper, lower in zip(top, sub):
         if upper is not None:
             carry = upper
-        parts = [label_text(part) for part in (carry, lower) if part is not None]
+        parts = [as_text(part) for part in (carry, lower) if part is not None]
         merged.append("-".join(parts))
     return merged
 
@@ -280,7 +278,7 @@ def _quote(row: list[Any]) -> str:
     value = next((value for value in row if value is not None), None)
     if value is None:
         return ""
-    text = label_text(value)
+    text = as_text(value)
     if len(text) > QUOTE_CHARS:
         text = text[:QUOTE_CHARS] + "…"
     return f"「{text}」"