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https://github.com/RYDE-WORK/Langchain-Chatchat.git
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248db46187
实现summary_chunk 文档分段总结业务实现 使用 MapReduceDocumentsChain 生成摘要 # Conflicts: # server/api.py # server/knowledge_base/kb_doc_api.py # server/knowledge_base/kb_service/base.py # server/knowledge_base/migrate.py
27 lines
872 B
Python
27 lines
872 B
Python
import requests
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import json
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import sys
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from pathlib import Path
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root_path = Path(__file__).parent.parent.parent
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sys.path.append(str(root_path))
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from server.utils import api_address
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api_base_url = api_address()
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kb = "samples"
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file_name = "/media/gpt4-pdf-chatbot-langchain/langchain-ChatGLM/knowledge_base/samples/content/llm/大模型技术栈-实战与应用.md"
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def test_summary_file_to_vector_store(api="/knowledge_base/kb_summary_api/summary_file_to_vector_store"):
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url = api_base_url + api
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print("\n文件摘要：")
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r = requests.post(url, json={"knowledge_base_name": kb,
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"file_name": file_name
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}, stream=True)
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for chunk in r.iter_content(None):
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data = json.loads(chunk)
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assert isinstance(data, dict)
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assert data["code"] == 200
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print(data["msg"])
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