46 lines
1.8 KiB
Python
46 lines
1.8 KiB
Python
import os.path
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from server.knowledge_base.utils import (get_file_path)
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import sys
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LOADER_DICT = {"UnstructuredFileLoader": ['.eml', '.html', '.json', '.md', '.msg', '.rst',
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'.rtf', '.txt', '.xml',
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'.doc', '.docx', '.epub', '.odt', '.pdf',
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'.ppt', '.pptx', '.tsv'], # '.pdf', '.xlsx', '.csv'
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"CSVLoader": [".csv"],
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}
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SUPPORTED_EXTS = [ext for sublist in LOADER_DICT.values() for ext in sublist]
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def get_LoaderClass(file_extension):
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for LoaderClass, extensions in LOADER_DICT.items():
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if file_extension in extensions:
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return LoaderClass
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class KnowledgeFile:
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def __init__(
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self,
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filename: str,
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knowledge_base_name: str
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):
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self.kb_name = knowledge_base_name
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self.filename = filename
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self.ext = os.path.splitext(filename)[-1]
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if self.ext not in SUPPORTED_EXTS:
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raise ValueError(f"暂未支持的文件格式 {self.ext}")
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self.filepath = get_file_path(knowledge_base_name, filename)
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self.docs = None
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self.document_loader_name = get_LoaderClass(self.ext)
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# TODO: 增加依据文件格式匹配text_splitter
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self.text_splitter_name = "CharacterTextSplitter"
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def file2text(self):
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DocumentLoader = getattr(sys.modules['langchain.document_loaders'], self.document_loader_name)
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loader = DocumentLoader(self.filepath)
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# TODO: 增加依据文件格式匹配text_splitter
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TextSplitter = getattr(sys.modules['langchain.text_splitter'], self.text_splitter_name)
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text_splitter = TextSplitter(chunk_size=500, chunk_overlap=200)
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return loader.load_and_split(text_splitter)
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