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import asyncio
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import socket
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from openai import OpenAI
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# 阿里云中用来调用 deepseek v3 的密钥
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MODEL_API_KEY = "sk-01d13a39e09844038322108ecdbd1bbc"
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MODEL_NAME = "deepseek-v3"
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# 初始化 OpenAI 客户端
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client = OpenAI(
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api_key=MODEL_API_KEY,
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base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
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)
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# 获取本机所有 IPv4 地址
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def get_local_ips():
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ips = []
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hostname = socket.gethostname()
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try:
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# 获取所有 IP 地址
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addrs = socket.getaddrinfo(hostname, None, family=socket.AF_INET) # 只获取 IPv4 地址
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for addr in addrs:
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ip = addr[4][0]
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if ip not in ips:
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ips.append(ip)
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except Exception as e:
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print(f"获取 IP 地址失败: {e}")
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return ips
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# 流式生成数据的函数
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async def generate_stream_markdown(course_name: str):
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# 调用阿里云 API，启用流式响应
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stream = client.chat.completions.create(
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model=MODEL_NAME,
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messages=[
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{'role': 'system', 'content': '你是一个教学经验丰富的基础教育教师'},
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{'role': 'user', 'content': '帮我设计一下' + course_name + '的课件提纲，用markdown格式返回。不要返回 ```markdown 或者 ``` 这样的内容！'}
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],
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stream=True, # 启用流式响应
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timeout=6000,
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)
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# 逐字返回数据
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for chunk in stream:
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if chunk.choices[0].delta.content:
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for char in chunk.choices[0].delta.content:
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yield char.encode("utf-8")
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await asyncio.sleep(0.05) # 控制逐字输出的速度
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def generate_prompt(source: str) -> str:
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# 打开 prompt.txt 文件，读取内容
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with open("prompt.txt", "r", encoding="utf-8") as file:
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prompt = file.read()
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prompt = prompt.replace("{{source}}", source)
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return prompt
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async def convert_markdown_to_json(source: str):
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# 生成提示词
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prompt = generate_prompt(source)
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# 调用 AI 模型，启用流式响应
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stream = client.chat.completions.create(
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model=MODEL_NAME,
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messages=[
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{"role": "system", "content": "你是一个专业的 Markdown 内容解析器。"},
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{"role": "user", "content": prompt}
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],
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stream=True, # 启用流式响应
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max_tokens=2000,
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temperature=0.5
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)
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# 逐字返回数据
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for chunk in stream:
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if chunk.choices[0].delta.content:
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for char in chunk.choices[0].delta.content:
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yield char.encode("utf-8")
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await asyncio.sleep(0.05) # 控制逐字输出的速度
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