67 lines
2.6 KiB
Python
67 lines
2.6 KiB
Python
from embedchain.config import AddConfig
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from embedchain.loaders.youtube_video import YoutubeVideoLoader
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from embedchain.loaders.pdf_file import PdfFileLoader
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from embedchain.loaders.web_page import WebPageLoader
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from embedchain.loaders.local_qna_pair import LocalQnaPairLoader
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from embedchain.loaders.local_text import LocalTextLoader
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from embedchain.loaders.docx_file import DocxFileLoader
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from embedchain.chunkers.youtube_video import YoutubeVideoChunker
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from embedchain.chunkers.pdf_file import PdfFileChunker
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from embedchain.chunkers.web_page import WebPageChunker
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from embedchain.chunkers.qna_pair import QnaPairChunker
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from embedchain.chunkers.text import TextChunker
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from embedchain.chunkers.docx_file import DocxFileChunker
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class DataFormatter:
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"""
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DataFormatter is an internal utility class which abstracts the mapping for
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loaders and chunkers to the data_type entered by the user in their
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.add or .add_local method call
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"""
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def __init__(self, data_type: str, config: AddConfig):
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self.loader = self._get_loader(data_type, config.loader)
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self.chunker = self._get_chunker(data_type, config.chunker)
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def _get_loader(self, data_type, config):
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"""
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Returns the appropriate data loader for the given data type.
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:param data_type: The type of the data to load.
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:return: The loader for the given data type.
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:raises ValueError: If an unsupported data type is provided.
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"""
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loaders = {
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'youtube_video': YoutubeVideoLoader(),
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'pdf_file': PdfFileLoader(),
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'web_page': WebPageLoader(),
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'qna_pair': LocalQnaPairLoader(),
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'text': LocalTextLoader(),
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'docx': DocxFileLoader(),
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}
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if data_type in loaders:
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return loaders[data_type]
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else:
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raise ValueError(f"Unsupported data type: {data_type}")
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def _get_chunker(self, data_type, config):
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"""
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Returns the appropriate chunker for the given data type.
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:param data_type: The type of the data to chunk.
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:return: The chunker for the given data type.
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:raises ValueError: If an unsupported data type is provided.
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"""
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chunkers = {
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'youtube_video': YoutubeVideoChunker(config),
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'pdf_file': PdfFileChunker(config),
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'web_page': WebPageChunker(config),
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'qna_pair': QnaPairChunker(config),
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'text': TextChunker(config),
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'docx': DocxFileChunker(config),
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}
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if data_type in chunkers:
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return chunkers[data_type]
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else:
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raise ValueError(f"Unsupported data type: {data_type}")
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