mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +00:00
129 lines
4.3 KiB
Python
129 lines
4.3 KiB
Python
from __future__ import annotations
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import copy
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import json
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from typing import Any, Dict, List, Optional
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from langchain_core.documents import Document
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class RecursiveJsonSplitter:
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def __init__(
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self, max_chunk_size: int = 2000, min_chunk_size: Optional[int] = None
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):
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super().__init__()
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self.max_chunk_size = max_chunk_size
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self.min_chunk_size = (
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min_chunk_size
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if min_chunk_size is not None
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else max(max_chunk_size - 200, 50)
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)
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@staticmethod
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def _json_size(data: Dict) -> int:
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"""Calculate the size of the serialized JSON object."""
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return len(json.dumps(data))
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@staticmethod
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def _set_nested_dict(d: Dict, path: List[str], value: Any) -> None:
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"""Set a value in a nested dictionary based on the given path."""
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for key in path[:-1]:
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d = d.setdefault(key, {})
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d[path[-1]] = value
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def _list_to_dict_preprocessing(self, data: Any) -> Any:
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if isinstance(data, dict):
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# Process each key-value pair in the dictionary
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return {k: self._list_to_dict_preprocessing(v) for k, v in data.items()}
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elif isinstance(data, list):
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# Convert the list to a dictionary with index-based keys
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return {
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str(i): self._list_to_dict_preprocessing(item)
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for i, item in enumerate(data)
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}
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else:
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# Base case: the item is neither a dict nor a list, so return it unchanged
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return data
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def _json_split(
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self,
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data: Dict[str, Any],
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current_path: Optional[List[str]] = None,
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chunks: Optional[List[Dict]] = None,
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) -> List[Dict]:
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"""
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Split json into maximum size dictionaries while preserving structure.
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"""
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current_path = current_path or []
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chunks = chunks or [{}]
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if isinstance(data, dict):
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for key, value in data.items():
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new_path = current_path + [key]
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chunk_size = self._json_size(chunks[-1])
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size = self._json_size({key: value})
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remaining = self.max_chunk_size - chunk_size
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if size < remaining:
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# Add item to current chunk
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self._set_nested_dict(chunks[-1], new_path, value)
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else:
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if chunk_size >= self.min_chunk_size:
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# Chunk is big enough, start a new chunk
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chunks.append({})
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# Iterate
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self._json_split(value, new_path, chunks)
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else:
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# handle single item
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self._set_nested_dict(chunks[-1], current_path, data)
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return chunks
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def split_json(
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self,
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json_data: Dict[str, Any],
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convert_lists: bool = False,
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) -> List[Dict]:
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"""Splits JSON into a list of JSON chunks"""
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if convert_lists:
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chunks = self._json_split(self._list_to_dict_preprocessing(json_data))
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else:
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chunks = self._json_split(json_data)
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# Remove the last chunk if it's empty
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if not chunks[-1]:
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chunks.pop()
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return chunks
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def split_text(
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self,
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json_data: Dict[str, Any],
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convert_lists: bool = False,
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ensure_ascii: bool = True,
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) -> List[str]:
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"""Splits JSON into a list of JSON formatted strings"""
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chunks = self.split_json(json_data=json_data, convert_lists=convert_lists)
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# Convert to string
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return [json.dumps(chunk, ensure_ascii=ensure_ascii) for chunk in chunks]
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def create_documents(
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self,
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texts: List[Dict],
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convert_lists: bool = False,
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ensure_ascii: bool = True,
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metadatas: Optional[List[dict]] = None,
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) -> List[Document]:
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"""Create documents from a list of json objects (Dict)."""
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_metadatas = metadatas or [{}] * len(texts)
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documents = []
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for i, text in enumerate(texts):
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for chunk in self.split_text(
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json_data=text, convert_lists=convert_lists, ensure_ascii=ensure_ascii
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):
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metadata = copy.deepcopy(_metadatas[i])
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new_doc = Document(page_content=chunk, metadata=metadata)
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documents.append(new_doc)
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return documents
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