合并代码
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import base64,os
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from typing import List
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from uuid import uuid4
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import requests
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from app.settings import init_settings
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from app.engine.loaders import get_document_Types, get_documents,getFileCacahePath
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from app.engine.vectordb import get_vector_store
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from app.engine.generate import get_doc_store,run_pipeline,persist_storage
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STORAGE_DIR = os.getenv("STORAGE_DIR", "storage")
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class FileLoadService:
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@staticmethod
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def store_and_parse_file(file_data):
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prjtoJson_url = os.getenv('PRJTOJSON_URL')
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convert_url = prjtoJson_url +'/prj_convert_clt2json'
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files ={'file':file_data}
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response1 = requests.post(
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url = convert_url,
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files=files
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)
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load_url = prjtoJson_url +'/file_download'
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response2 = requests.post(
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url = load_url,
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data=response1.text
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)
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with open('example.zip','wb') as file:
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file.write(response2.content)
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prjID = str(uuid4())
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filePath = getFileCacahePath() + f'/Projects/{prjID}'
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os.makedirs(filePath)
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import zipfile
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with zipfile.ZipFile('example.zip','r') as zip_File:
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for zip_info in zip_File.infolist():
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zip_info.filename = zip_info.filename.encode('cp437').decode('gbk')
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zip_File.extract(zip_info,filePath)
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os.remove('example.zip')
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return f'Projects_{prjID}'
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@staticmethod
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def process_file(base64_content: str) -> List[str]:
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docType = FileLoadService.store_and_parse_file(base64_content)
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#生成向量并持久化至本地
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init_settings()
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documents = get_documents(docType)
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for doc in documents:
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doc.metadata["private"] = "false"
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docstore = get_doc_store(docType)
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vector_store = get_vector_store(docType)
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_ = run_pipeline(docstore, vector_store, documents)
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persist_storage(docstore, vector_store)
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