mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +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
61 lines
2.1 KiB
Python
61 lines
2.1 KiB
Python
from typing import List, Optional
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from langchain_core.documents import Document
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from langchain_community.document_loaders.base import BaseLoader
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from langchain_community.utilities.wikipedia import WikipediaAPIWrapper
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class WikipediaLoader(BaseLoader):
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"""Load from `Wikipedia`.
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The hard limit on the length of the query is 300 for now.
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Each wiki page represents one Document.
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"""
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def __init__(
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self,
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query: str,
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lang: str = "en",
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load_max_docs: Optional[int] = 25,
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load_all_available_meta: Optional[bool] = False,
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doc_content_chars_max: Optional[int] = 4000,
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):
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"""
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Initializes a new instance of the WikipediaLoader class.
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Args:
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query (str): The query string to search on Wikipedia.
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lang (str, optional): The language code for the Wikipedia language edition.
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Defaults to "en".
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load_max_docs (int, optional): The maximum number of documents to load.
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Defaults to 100.
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load_all_available_meta (bool, optional): Indicates whether to load all
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available metadata for each document. Defaults to False.
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doc_content_chars_max (int, optional): The maximum number of characters
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for the document content. Defaults to 4000.
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"""
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self.query = query
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self.lang = lang
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self.load_max_docs = load_max_docs
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self.load_all_available_meta = load_all_available_meta
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self.doc_content_chars_max = doc_content_chars_max
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def load(self) -> List[Document]:
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"""
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Loads the query result from Wikipedia into a list of Documents.
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Returns:
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List[Document]: A list of Document objects representing the loaded
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Wikipedia pages.
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"""
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client = WikipediaAPIWrapper(
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lang=self.lang,
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top_k_results=self.load_max_docs,
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load_all_available_meta=self.load_all_available_meta,
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doc_content_chars_max=self.doc_content_chars_max,
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)
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docs = client.load(self.query)
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return docs
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