|
|
# -*- coding: utf-8 -*-
|
|
|
import time
|
|
|
from typing import Iterator
|
|
|
|
|
|
from openai import OpenAI
|
|
|
from openai.types.chat import ChatCompletionChunk
|
|
|
|
|
|
from Config import API_KEY, MODEL_R1, MODEL_URL # 确保导入配置
|
|
|
|
|
|
|
|
|
class KnowledgeGraph:
|
|
|
def __init__(self, shiti_content: str):
|
|
|
"""
|
|
|
初始化生成器
|
|
|
"""
|
|
|
self.shiti_content = shiti_content
|
|
|
self.client = OpenAI(
|
|
|
api_key=API_KEY,
|
|
|
base_url=MODEL_URL
|
|
|
)
|
|
|
|
|
|
def _generate_stream(self) -> Iterator[ChatCompletionChunk]:
|
|
|
"""流式生成内容"""
|
|
|
system_prompt = '''回答以下内容:
|
|
|
1. 这道题目有哪些知识点，哪些能力点
|
|
|
2. 生成Neo4j 5.26.2的插入语句'''
|
|
|
|
|
|
return self.client.chat.completions.create(
|
|
|
model=MODEL_R1,
|
|
|
messages=[
|
|
|
{"role": "system", "content": system_prompt},
|
|
|
{"role": "user", "content": self.shiti_content}
|
|
|
],
|
|
|
stream=True,
|
|
|
timeout=300
|
|
|
)
|
|
|
|
|
|
def run(self) -> bool:
|
|
|
"""执行生成流程"""
|
|
|
start_time = time.time()
|
|
|
spinner = ['⠋', '⠙', '⠹', '⠸', '⠼', '⠴', '⠦', '⠧', '⠇', '⠏']
|
|
|
content_buffer = []
|
|
|
|
|
|
try:
|
|
|
print(f"🚀 开始生成知识点和能力点的总结和插入语句")
|
|
|
stream = self._generate_stream()
|
|
|
|
|
|
for idx, chunk in enumerate(stream):
|
|
|
print(f"\r{spinner[idx % 10]} 生成中（{int(time.time() - start_time)}秒）", end="")
|
|
|
|
|
|
if chunk.choices and chunk.choices[0].delta.content:
|
|
|
content_chunk = chunk.choices[0].delta.content
|
|
|
content_buffer.append(content_chunk)
|
|
|
|
|
|
if len(content_buffer) == 1:
|
|
|
print("\n\n📝 内容生成开始：")
|
|
|
print(content_chunk, end="", flush=True)
|
|
|
|
|
|
if content_buffer:
|
|
|
print(f"\n\n✅ 生成成功！耗时 {int(time.time() - start_time)}秒")
|
|
|
return True
|
|
|
return False
|
|
|
|
|
|
except Exception as e:
|
|
|
print(f"\n\n❌ 生成失败：{str(e)}")
|
|
|
return False
|
|
|
|
|
|
|
|
|
if __name__ == '__main__':
|
|
|
shiti_content = '''
|
|
|
下面是一道小学三年级的数学题目，巧求周长：
|
|
|
把7个完全相同的小长方形拼成如图的样子，已知每个小长方形的长是10厘米，则拼成的大长方形的周长是多少厘米？
|
|
|
'''
|
|
|
kg = KnowledgeGraph(shiti_content)
|
|
|
kg.run() |
