72 lines
2.3 KiB
Python
72 lines
2.3 KiB
Python
import json
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import re
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from typing import Dict, Any, Optional, Tuple
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from src.common.logger import get_module_logger
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logger = get_module_logger("pfc_utils")
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def get_items_from_json(
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content: str,
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*items: str,
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default_values: Optional[Dict[str, Any]] = None,
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required_types: Optional[Dict[str, type]] = None
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) -> Tuple[bool, Dict[str, Any]]:
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"""从文本中提取JSON内容并获取指定字段
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Args:
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content: 包含JSON的文本
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*items: 要提取的字段名
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default_values: 字段的默认值，格式为 {字段名: 默认值}
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required_types: 字段的必需类型，格式为 {字段名: 类型}
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Returns:
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Tuple[bool, Dict[str, Any]]: (是否成功, 提取的字段字典)
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"""
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content = content.strip()
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result = {}
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# 设置默认值
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if default_values:
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result.update(default_values)
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# 尝试解析JSON
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try:
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json_data = json.loads(content)
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except json.JSONDecodeError:
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# 如果直接解析失败，尝试查找和提取JSON部分
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json_pattern = r'\{[^{}]*\}'
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json_match = re.search(json_pattern, content)
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if json_match:
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try:
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json_data = json.loads(json_match.group())
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except json.JSONDecodeError:
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logger.error("提取的JSON内容解析失败")
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return False, result
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else:
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logger.error("无法在返回内容中找到有效的JSON")
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return False, result
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# 提取字段
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for item in items:
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if item in json_data:
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result[item] = json_data[item]
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# 验证必需字段
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if not all(item in result for item in items):
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logger.error(f"JSON缺少必要字段，实际内容: {json_data}")
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return False, result
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# 验证字段类型
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if required_types:
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for field, expected_type in required_types.items():
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if field in result and not isinstance(result[field], expected_type):
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logger.error(f"{field} 必须是 {expected_type.__name__} 类型")
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return False, result
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# 验证字符串字段不为空
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for field in items:
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if isinstance(result[field], str) and not result[field].strip():
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logger.error(f"{field} 不能为空")
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return False, result
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return True, result |