121 lines
5.2 KiB
Python
121 lines
5.2 KiB
Python
from embedchain.chunkers.base_chunker import BaseChunker
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from embedchain.chunkers.docs_site import DocsSiteChunker
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from embedchain.chunkers.docx_file import DocxFileChunker
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from embedchain.chunkers.mdx import MdxChunker
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from embedchain.chunkers.images import ImagesChunker
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from embedchain.chunkers.notion import NotionChunker
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from embedchain.chunkers.pdf_file import PdfFileChunker
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from embedchain.chunkers.qna_pair import QnaPairChunker
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from embedchain.chunkers.table import TableChunker
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from embedchain.chunkers.text import TextChunker
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from embedchain.chunkers.web_page import WebPageChunker
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from embedchain.chunkers.youtube_video import YoutubeVideoChunker
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from embedchain.config import AddConfig
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from embedchain.config.add_config import ChunkerConfig, LoaderConfig
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from embedchain.helper.json_serializable import JSONSerializable
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from embedchain.loaders.base_loader import BaseLoader
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from embedchain.loaders.csv import CsvLoader
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from embedchain.loaders.docs_site_loader import DocsSiteLoader
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from embedchain.loaders.docx_file import DocxFileLoader
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from embedchain.loaders.images import ImagesLoader
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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.mdx import MdxLoader
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from embedchain.loaders.pdf_file import PdfFileLoader
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from embedchain.loaders.sitemap import SitemapLoader
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from embedchain.loaders.web_page import WebPageLoader
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from embedchain.loaders.youtube_video import YoutubeVideoLoader
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from embedchain.models.data_type import DataType
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class DataFormatter(JSONSerializable):
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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: DataType, config: AddConfig):
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"""
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Initialize a dataformatter, set data type and chunker based on datatype.
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:param data_type: The type of the data to load and chunk.
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:type data_type: DataType
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:param config: AddConfig instance with nested loader and chunker config attributes.
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:type config: AddConfig
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"""
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self.loader = self._get_loader(data_type=data_type, config=config.loader)
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self.chunker = self._get_chunker(data_type=data_type, config=config.chunker)
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def _get_loader(self, data_type: DataType, config: LoaderConfig) -> BaseLoader:
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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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:type data_type: DataType
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:param config: Config to initialize the loader with.
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:type config: LoaderConfig
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:raises ValueError: If an unsupported data type is provided.
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:return: The loader for the given data type.
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:rtype: BaseLoader
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"""
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loaders = {
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DataType.YOUTUBE_VIDEO: YoutubeVideoLoader,
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DataType.PDF_FILE: PdfFileLoader,
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DataType.WEB_PAGE: WebPageLoader,
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DataType.QNA_PAIR: LocalQnaPairLoader,
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DataType.TEXT: LocalTextLoader,
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DataType.DOCX: DocxFileLoader,
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DataType.SITEMAP: SitemapLoader,
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DataType.DOCS_SITE: DocsSiteLoader,
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DataType.CSV: CsvLoader,
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DataType.MDX: MdxLoader,
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DataType.IMAGES: ImagesLoader,
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}
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lazy_loaders = {DataType.NOTION}
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if data_type in loaders:
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loader_class: type = loaders[data_type]
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loader: BaseLoader = loader_class()
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return loader
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elif data_type in lazy_loaders:
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if data_type == DataType.NOTION:
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from embedchain.loaders.notion import NotionLoader
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return NotionLoader()
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else:
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raise ValueError(f"Unsupported data type: {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: DataType, config: ChunkerConfig) -> BaseChunker:
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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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:type data_type: DataType
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:param config: Config to initialize the chunker with.
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:type config: ChunkerConfig
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:raises ValueError: If an unsupported data type is provided.
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:return: The chunker for the given data type.
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:rtype: BaseChunker
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"""
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chunker_classes = {
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DataType.YOUTUBE_VIDEO: YoutubeVideoChunker,
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DataType.PDF_FILE: PdfFileChunker,
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DataType.WEB_PAGE: WebPageChunker,
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DataType.QNA_PAIR: QnaPairChunker,
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DataType.TEXT: TextChunker,
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DataType.DOCX: DocxFileChunker,
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DataType.DOCS_SITE: DocsSiteChunker,
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DataType.NOTION: NotionChunker,
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DataType.CSV: TableChunker,
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DataType.MDX: MdxChunker,
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DataType.IMAGES: ImagesChunker,
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}
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if data_type in chunker_classes:
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chunker_class: type = chunker_classes[data_type]
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chunker: BaseChunker = chunker_class(config)
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chunker.set_data_type(data_type)
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return chunker
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else:
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raise ValueError(f"Unsupported data type: {data_type}")
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