159 lines
6.1 KiB
Python
159 lines
6.1 KiB
Python
"""
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AI服务 - 封装大模型调用
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支持硅基流动和华为大模型（预留）
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"""
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import os
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import requests
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import json
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from typing import Dict, List, Optional
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class AIService:
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"""AI服务类"""
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def __init__(self):
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self.siliconflow_api_key = os.getenv('SILICONFLOW_API_KEY')
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self.siliconflow_model = os.getenv('SILICONFLOW_MODEL', 'deepseek-ai/DeepSeek-V3.2-Exp')
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self.siliconflow_url = "https://api.siliconflow.cn/v1/chat/completions"
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# 华为大模型配置（预留）
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self.huawei_api_endpoint = os.getenv('HUAWEI_API_ENDPOINT')
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self.huawei_api_key = os.getenv('HUAWEI_API_KEY')
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# 确定使用的AI服务
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self.ai_provider = self._determine_ai_provider()
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def _determine_ai_provider(self) -> str:
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"""确定使用的AI服务提供商"""
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if self.siliconflow_api_key:
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return 'siliconflow'
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elif self.huawei_api_endpoint and self.huawei_api_key:
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return 'huawei'
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else:
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return 'none'
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def extract_fields(self, prompt: str, output_fields: List[Dict]) -> Optional[Dict]:
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"""
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从提示词中提取结构化字段
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Args:
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prompt: AI提示词
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output_fields: 输出字段列表
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Returns:
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提取的字段字典，格式: {field_code: field_value}
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"""
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if self.ai_provider == 'none':
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raise Exception("未配置AI服务，请设置SILICONFLOW_API_KEY或华为大模型配置")
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if self.ai_provider == 'siliconflow':
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return self._extract_with_siliconflow(prompt, output_fields)
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elif self.ai_provider == 'huawei':
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return self._extract_with_huawei(prompt, output_fields)
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else:
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raise Exception(f"未知的AI服务提供商: {self.ai_provider}")
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def _extract_with_siliconflow(self, prompt: str, output_fields: List[Dict]) -> Optional[Dict]:
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"""使用硅基流动API提取字段"""
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try:
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payload = {
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"model": self.siliconflow_model,
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"messages": [
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{
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"role": "system",
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"content": "你是一个专业的数据提取助手，能够从文本中准确提取结构化信息。请严格按照JSON格式返回结果。"
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},
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{
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"role": "user",
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"content": prompt
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}
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],
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"temperature": 0.3,
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"max_tokens": 2000
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}
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headers = {
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"Authorization": f"Bearer {self.siliconflow_api_key}",
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"Content-Type": "application/json"
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}
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response = requests.post(
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self.siliconflow_url,
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json=payload,
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headers=headers,
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timeout=30
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)
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if response.status_code != 200:
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raise Exception(f"API调用失败: {response.status_code} - {response.text}")
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result = response.json()
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# 提取AI返回的内容
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if 'choices' in result and len(result['choices']) > 0:
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content = result['choices'][0]['message']['content']
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# 尝试解析JSON
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try:
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# 如果返回的是代码块，提取JSON部分
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if '```json' in content:
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json_start = content.find('```json') + 7
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json_end = content.find('```', json_start)
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content = content[json_start:json_end].strip()
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elif '```' in content:
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json_start = content.find('```') + 3
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json_end = content.find('```', json_start)
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content = content[json_start:json_end].strip()
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extracted_data = json.loads(content)
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return extracted_data
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except json.JSONDecodeError:
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# 如果不是JSON，尝试从文本中提取
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return self._parse_text_response(content, output_fields)
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else:
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raise Exception("API返回格式异常")
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except requests.exceptions.Timeout:
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raise Exception("AI服务调用超时")
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except Exception as e:
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raise Exception(f"AI服务调用失败: {str(e)}")
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def _extract_with_huawei(self, prompt: str, output_fields: List[Dict]) -> Optional[Dict]:
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"""使用华为大模型API提取字段（预留实现）"""
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# TODO: 实现华为大模型接口调用
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raise Exception("华为大模型接口暂未实现，请使用硅基流动API")
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def _parse_text_response(self, text: str, output_fields: List[Dict]) -> Dict:
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"""
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从文本响应中解析字段值（备用方案）
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"""
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result = {}
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for field in output_fields:
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field_code = field['field_code']
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field_name = field['name']
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# 尝试在文本中查找字段值
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# 这里使用简单的关键词匹配，实际可以更复杂
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if field_name in text:
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# 提取字段值（简单实现）
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start_idx = text.find(field_name)
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if start_idx != -1:
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# 查找冒号后的内容
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colon_idx = text.find(':', start_idx)
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if colon_idx != -1:
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value_start = colon_idx + 1
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value_end = text.find('\n', value_start)
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if value_end == -1:
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value_end = len(text)
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value = text[value_start:value_end].strip()
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result[field_code] = value
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else:
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result[field_code] = ''
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else:
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result[field_code] = ''
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else:
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result[field_code] = ''
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return result
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