python代码,把excel数据对接到通义千问api
时间: 2024-10-06 13:06:52 浏览: 169
在Python中,你可以使用pandas库处理Excel文件,并结合`requests`库或其他HTTP客户端来调用阿里云通义千问API。以下是一个简单的示例:
首先,安装必要的库:
```bash
pip install pandas requests
```
然后,编写Python代码来读取Excel、提取数据并发送请求:
```python
import pandas as pd
import requests
# 读取Excel文件
def read_excel(file_path):
data = pd.read_excel(file_path)
# 可能需要对数据进行预处理,例如清洗或转换成适合API的格式
processed_data = process_data(data)
return processed_data
def process_data(data):
# 这里假设你的数据已经按照问题-答案的形式存储,如果需要其他格式,自行调整
question_list = data['问题'].tolist()
answer_list = data['答案'].tolist() if '答案' in data.columns else None
return [{'question': q, 'knowledge_base': ''} for q in question_list], answer_list # 知识库为空字符串,实际使用时替换为你通义千问的token
def call_qa_api(api_key, questions):
url = "https://api.qwen.aliyun.com/v1/knowledge_graph/search"
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json",
}
responses = []
for q in questions:
payload = {'questions': [q]}
response = requests.post(url, json=payload, headers=headers)
if response.status_code == 200:
responses.append(response.json())
else:
print(f"Error calling API: {response.text}")
return responses
# 使用你的API密钥替换这里的变量
file_path = 'your_excel_file.xlsx'
api_key = 'your_api_key'
data = read_excel(file_path)
questions, _ = process_data(data) # 如果有答案,这里会包含answer_list
call_qa_api(api_key, questions)
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