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from typing import Optional
import yaml
def extract_code_from_response(response: str) -> Optional[str]:
"""从LLM响应中提取代码"""
try:
# 尝试解析YAML
if '```yaml' in response:
start = response.find('```yaml') + 7
end = response.find('```', start)
yaml_content = response[start:end].strip()
elif '```' in response:
start = response.find('```') + 3
end = response.find('```', start)
yaml_content = response[start:end].strip()
else:
yaml_content = response.strip()
yaml_data = yaml.safe_load(yaml_content)
if 'code' in yaml_data:
return yaml_data['code']
except:
pass
# 如果YAML解析失败尝试提取```python代码块
if '```python' in response:
start = response.find('```python') + 9
end = response.find('```', start)
if end != -1:
return response[start:end].strip()
# 尝试提取 code: | 形式的代码块针对YAML格式错误但结构清晰的情况
import re
# 匹配 code: | 后面的内容直到遇到下一个键next_key:)或结尾
# 假设代码块至少缩进2个空格
pattern = r'code:\s*\|\s*\n((?: {2,}.*\n?)+)'
match = re.search(pattern, response)
if match:
code_block = match.group(1)
# 尝试去除公共缩进
try:
import textwrap
return textwrap.dedent(code_block).strip()
except:
return code_block.strip()
elif '```' in response:
start = response.find('```') + 3
end = response.find('```', start)
if end != -1:
return response[start:end].strip()
return None