hotfix(dc/tool-c): Fix compute formula validation and binning NaN serialization

Critical fixes:
1. Compute column: Add Chinese comma support in formula validation
   - Problem: Formula with Chinese comma failed validation
   - Fix: Add Chinese comma character to allowed_chars regex
   - Example: Support formulas like 'col1（kg）+ col2，col3'

2. Binning operation: Fix NaN serialization error
   - Problem: 'Out of range float values are not JSON compliant: nan'
   - Fix: Enhanced NaN/inf handling in binning endpoint
   - Added np.inf/-np.inf replacement before JSON serialization
   - Added manual JSON serialization with NaN->null conversion

3. Enhanced all operation endpoints for consistency
   - Updated conditional, dropna endpoints with same NaN/inf handling
   - Ensures all operations return JSON-compliant data

Modified files:
- extraction_service/operations/compute.py: Add Chinese comma to regex
- extraction_service/main.py: Enhanced NaN handling in binning/conditional/dropna

Status: Hotfix complete, ready for testing

extraction_service/operations/__init__.py

@@ -15,3 +15,4 @@
 __version__ = '1.0.0'
 
 
+

extraction_service/operations/compute.py

@@ -60,8 +60,8 @@ def validate_formula(formula: str, available_columns: list) -> tuple[bool, str]:
             return False, f'公式包含不允许的操作: {pattern}'
     
     # ✨ 增强：检查是否只包含允许的字符（放宽限制，支持更多特殊字符）
-    # 允许：英文字母、数字、下划线、中文、空格、运算符、括号（中英文）、逗号、点、冒号、等号
-    allowed_chars = r'[a-zA-Z0-9_\u4e00-\u9fa5\s\+\-\*/\(\)\[\]\{\}\.,:\*\*=（）【】、。：；！？]'
+    # 允许：英文字母、数字、下划线、中文、空格、运算符、括号（中英文）、逗号（中英文）、点、冒号、等号
+    allowed_chars = r'[a-zA-Z0-9_\u4e00-\u9fa5\s\+\-\*/\(\)\[\]\{\}\.,，:\*\*=（）【】、。：；！？]'
     if not re.match(f'^{allowed_chars}+$', formula):
         # 找出不允许的字符
         invalid_chars = set(re.findall(f'[^{allowed_chars}]', formula))

extraction_service/operations/dropna.py

@@ -148,3 +148,4 @@ def get_missing_summary(df: pd.DataFrame) -> dict:
     }
 
 
+

extraction_service/operations/filter.py

@@ -108,3 +108,4 @@ def apply_filter(
     return result
 
 
+