mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +00:00
ed58eeb9c5
Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
51 lines
1.6 KiB
Python
51 lines
1.6 KiB
Python
"""Simple in memory docstore in the form of a dict."""
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from typing import Dict, List, Optional, Union
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from langchain_core.documents import Document
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from langchain_community.docstore.base import AddableMixin, Docstore
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class InMemoryDocstore(Docstore, AddableMixin):
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"""Simple in memory docstore in the form of a dict."""
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def __init__(self, _dict: Optional[Dict[str, Document]] = None):
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"""Initialize with dict."""
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self._dict = _dict if _dict is not None else {}
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def add(self, texts: Dict[str, Document]) -> None:
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"""Add texts to in memory dictionary.
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Args:
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texts: dictionary of id -> document.
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Returns:
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None
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"""
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overlapping = set(texts).intersection(self._dict)
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if overlapping:
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raise ValueError(f"Tried to add ids that already exist: {overlapping}")
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self._dict = {**self._dict, **texts}
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def delete(self, ids: List) -> None:
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"""Deleting IDs from in memory dictionary."""
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overlapping = set(ids).intersection(self._dict)
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if not overlapping:
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raise ValueError(f"Tried to delete ids that does not exist: {ids}")
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for _id in ids:
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self._dict.pop(_id)
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def search(self, search: str) -> Union[str, Document]:
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"""Search via direct lookup.
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Args:
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search: id of a document to search for.
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Returns:
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Document if found, else error message.
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"""
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if search not in self._dict:
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return f"ID {search} not found."
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else:
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return self._dict[search]
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