73 lines
2.3 KiB
Python
73 lines
2.3 KiB
Python
from __future__ import annotations
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from abc import abstractmethod
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from typing import Any, Sequence, Type
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from llama_index.node_parser.interface import NodeParser
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from ..base import BaseComponent, Document
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class DocTransformer(BaseComponent):
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"""This is a base class for document transformers
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A document transformer transforms a list of documents into another list
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of documents. Transforming can mean splitting a document into multiple documents,
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reducing a large list of documents into a smaller list of documents, or adding
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metadata to each document in a list of documents, etc.
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"""
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@abstractmethod
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def run(
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self,
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documents: Sequence[Document],
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**kwargs,
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) -> Sequence[Document]:
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...
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class LlamaIndexMixin:
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"""Allow automatically wrapping a Llama-index component into kotaemon component
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Example:
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class TokenSplitter(LlamaIndexMixin, BaseSplitter):
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def _get_li_class(self):
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from llama_index.text_splitter import TokenTextSplitter
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return TokenTextSplitter
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To use this mixin, please:
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1. Use this class as the 1st parent class, so that Python will prefer to use
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the attributes and methods of this class whenever possible.
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2. Overwrite `_get_li_class` to return the relevant LlamaIndex component.
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"""
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def _get_li_class(self) -> Type[NodeParser]:
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raise NotImplementedError(
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"Please return the relevant LlamaIndex class in _get_li_class"
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)
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def __init__(self, *args, **kwargs):
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_li_cls = self._get_li_class()
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self._obj = _li_cls(*args, **kwargs)
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super().__init__()
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def __setattr__(self, name: str, value: Any) -> None:
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if name.startswith("_") or name in self._protected_keywords():
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return super().__setattr__(name, value)
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return setattr(self._obj, name, value)
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def __getattr__(self, name: str) -> Any:
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return getattr(self._obj, name)
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def run(
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self,
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documents: Sequence[Document],
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**kwargs,
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) -> Sequence[Document]:
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"""Run Llama-index node parser and convert the output to Document from
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kotaemon
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"""
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docs = self._obj(documents, **kwargs) # type: ignore
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return [Document.from_dict(doc.to_dict()) for doc in docs]
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