对大字段进行截断处理，特别是 base64 编码的图片数据 Args: data: 要处理的数据 max_length: 字符串字段的最大长度 Returns: 截断后的数据副本
(self, data: Any, max_length: int = 200)
| 58 | self.logger.info(char * length) |
| 59 | |
| 60 | def _truncate_large_fields(self, data: Any, max_length: int = 200) -> Any: |
| 61 | """对大字段进行截断处理，特别是 base64 编码的图片数据 |
| 62 | |
| 63 | Args: |
| 64 | data: 要处理的数据 |
| 65 | max_length: 字符串字段的最大长度 |
| 66 | |
| 67 | Returns: |
| 68 | 截断后的数据副本 |
| 69 | """ |
| 70 | if isinstance(data, dict): |
| 71 | result = {} |
| 72 | for key, value in data.items(): |
| 73 | # 对特定的大字段进行截断 |
| 74 | if key in ("encodedImage", "base64", "imageData", "data") and isinstance(value, str) and len(value) > max_length: |
| 75 | result[key] = f"{value[:100]}... (truncated, total {len(value)} chars)" |
| 76 | else: |
| 77 | result[key] = self._truncate_large_fields(value, max_length) |
| 78 | return result |
| 79 | elif isinstance(data, list): |
| 80 | return [self._truncate_large_fields(item, max_length) for item in data] |
| 81 | elif isinstance(data, str) and len(data) > 10000: |
| 82 | # 对超长字符串进行截断（可能是未知的 base64 字段） |
| 83 | return f"{data[:100]}... (truncated, total {len(data)} chars)" |
| 84 | return data |
| 85 | |
| 86 | def log_request( |
| 87 | self, |