166 lines
3.8 KiB
Markdown
Executable File
166 lines
3.8 KiB
Markdown
Executable File
# LLM关系抽取测试报告
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**日期**: 2026-04-10 11:53 GMT+8
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**状态**: API验证成功，Python客户端待调试
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---
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## API连接测试
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### curl测试 ✅
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```bash
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curl -X POST https://coding.dashscope.aliyuncs.com/v1/chat/completions \
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-H "Authorization: Bearer sk-REDACTED" \
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-d '{"model": "qwen3.6-plus", "messages": [{"role": "user", "content": "Hello"}]}'
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```
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**结果**: ✅ 成功
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```json
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{
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"model": "qwen3.6-plus",
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"choices": [{
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"message": {
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"content": "Hello! How can I assist you today?",
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"reasoning_content": "Here's a thinking process..."
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}
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}]
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}
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```
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### Python客户端测试 ❌
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```python
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from openai import OpenAI
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client = OpenAI(api_key=api_key, base_url="https://coding.dashscope.aliyuncs.com/v1")
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response = client.chat.completions.create(...)
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```
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**结果**: ⏳ 超时/无响应
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---
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## 问题分析
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### 可能原因
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1. **网络超时**: Python客户端默认超时时间可能过长
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2. **代理设置**: 可能需要配置代理
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3. **SSL证书**: 可能有证书验证问题
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4. **DNS解析**: 域名解析可能较慢
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### 解决方案
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**方案1: 使用curl替代**
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```python
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import subprocess
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import json
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def call_llm_with_curl(prompt):
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cmd = [
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'curl', '-s', '-X', 'POST',
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'https://coding.dashscope.aliyuncs.com/v1/chat/completions',
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'-H', 'Content-Type: application/json',
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'-H', f'Authorization: Bearer {api_key}',
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'-d', json.dumps({
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'model': 'qwen3.6-plus',
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'messages': [{'role': 'user', 'content': prompt}],
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'max_tokens': 500
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})
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]
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result = subprocess.run(cmd, capture_output=True, text=True, timeout=60)
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return json.loads(result.stdout)
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```
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**方案2: 配置超时参数**
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```python
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from openai import OpenAI
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import httpx
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client = OpenAI(
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api_key=api_key,
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base_url="https://coding.dashscope.aliyuncs.com/v1",
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http_client=httpx.Client(timeout=60.0)
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)
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```
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---
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## 修复后的提取器
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### 使用curl的实现
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```python
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import subprocess
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import json
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def extract_relations_llm_curl(sections, entities, api_key):
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"""使用curl调用百炼API"""
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relations = []
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for sec in sections:
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text = sec['text'][:2000]
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prompt = f"""从以下文本中提取基因关系...
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文本: {text}
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格式: gene_id | relation | target | evidence
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"""
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cmd = [
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'curl', '-s', '-X', 'POST',
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'https://coding.dashscope.aliyuncs.com/v1/chat/completions',
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'-H', 'Content-Type: application/json',
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'-H', f'Authorization: Bearer {api_key}',
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'-d', json.dumps({
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'model': 'qwen3.6-plus',
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'messages': [
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{'role': 'system', 'content': '你是基因关系提取助手'},
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{'role': 'user', 'content': prompt}
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],
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'temperature': 0.1,
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'max_tokens': 500
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})
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]
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try:
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result = subprocess.run(cmd, capture_output=True, text=True, timeout=60)
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response = json.loads(result.stdout)
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content = response['choices'][0]['message']['content']
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# 解析关系...
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except Exception as e:
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print(f"错误: {e}")
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return relations
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```
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---
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## 结论
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### 当前状态
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| 项目 | 状态 | 说明 |
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|------|------|------|
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| API Key读取 | ✅ | 修复成功 |
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| curl调用 | ✅ | 工作正常 |
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| Python客户端 | ❌ | 需要调试 |
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| 章节文本保存 | ✅ | 工作正常 |
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### 建议
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1. **立即**: 使用curl替代Python客户端进行LLM调用
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2. **短期**: 调试Python客户端连接问题
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3. **长期**: 封装统一的LLM调用接口
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### 下一步
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创建使用curl的修复版提取器，测试完整流程。
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---
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**报告时间**: 2026-04-10 11:58 GMT+8
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**签名**: 🧬🤖
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