添加补充了 _form_columns_description函数

sdgx/models/LLM/base.py

@@ -1,3 +1,5 @@
+import pandas as pd
+
 from sdgx.exceptions import SynthesizerInitError
 from sdgx.models.base import SynthesizerModel
 from sdgx.utils import logger
@@ -87,13 +89,38 @@ def _check_access_type(self):
             raise SynthesizerInitError("Duplicate data access type found.")
 
     def _form_columns_description(self):
-        """
-        We believe that giving information about a column helps improve data quality.
-
-        Currently, we leave this function to Good First Issue until March 2024, if unclaimed we will implement it quickly.
-        """
 
-        raise NotImplementedError
+        df = self.raw_data  # 确保 self.raw_data 是一个 pandas.DataFrame
+        desc_lines = []
+
+        for col in df.columns:
+            series = df[col]
+            dtype = series.dtype
+
+            if pd.api.types.is_numeric_dtype(dtype):
+                line = (
+                    f'Column "{col}": type {dtype}, '
+                    f"min {series.min()}, max {series.max()}, "
+                    f"mean {series.mean():.2f}, std {series.std():.2f}."
+                )
+            elif pd.api.types.is_datetime64_any_dtype(dtype):
+                line = (
+                    f'Column "{col}": type datetime, '
+                    f'from {series.min().strftime("%Y-%m-%d")}, '
+                    f'to {series.max().strftime("%Y-%m-%d")}.'
+                )
+            elif pd.api.types.is_categorical_dtype(series) or series.nunique() < 20:
+                values = series.unique()
+                line = (
+                    f'Column "{col}": type category, '
+                    f'{len(values)} categories: {list(values[:5])}{"..." if len(values) > 5 else ""}.'
+                )
+            else:
+                line = f'Column "{col}": type {dtype}.'
+
+            desc_lines.append(line)
+
+        return "\n".join(desc_lines)
 
     def _form_message_with_offtable_features(self):
         """