mirror of
https://github.com/hwchase17/langchain
synced 2024-11-02 09:40:22 +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
93 lines
2.6 KiB
Python
93 lines
2.6 KiB
Python
from typing import Any, List, Optional
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import aiohttp
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import requests
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from langchain_core.callbacks import (
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AsyncCallbackManagerForRetrieverRun,
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CallbackManagerForRetrieverRun,
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)
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from langchain_core.documents import Document
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from langchain_core.retrievers import BaseRetriever
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class ChaindeskRetriever(BaseRetriever):
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"""`Chaindesk API` retriever."""
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datastore_url: str
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top_k: Optional[int]
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api_key: Optional[str]
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def __init__(
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self,
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datastore_url: str,
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top_k: Optional[int] = None,
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api_key: Optional[str] = None,
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):
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self.datastore_url = datastore_url
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self.api_key = api_key
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self.top_k = top_k
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def _get_relevant_documents(
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self,
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query: str,
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*,
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run_manager: CallbackManagerForRetrieverRun,
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**kwargs: Any,
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) -> List[Document]:
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response = requests.post(
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self.datastore_url,
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json={
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"query": query,
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**({"topK": self.top_k} if self.top_k is not None else {}),
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},
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headers={
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"Content-Type": "application/json",
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**(
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{"Authorization": f"Bearer {self.api_key}"}
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if self.api_key is not None
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else {}
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),
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},
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)
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data = response.json()
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return [
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Document(
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page_content=r["text"],
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metadata={"source": r["source"], "score": r["score"]},
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)
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for r in data["results"]
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]
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async def _aget_relevant_documents(
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self,
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query: str,
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*,
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run_manager: AsyncCallbackManagerForRetrieverRun,
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**kwargs: Any,
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) -> List[Document]:
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async with aiohttp.ClientSession() as session:
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async with session.request(
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"POST",
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self.datastore_url,
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json={
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"query": query,
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**({"topK": self.top_k} if self.top_k is not None else {}),
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},
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headers={
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"Content-Type": "application/json",
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**(
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{"Authorization": f"Bearer {self.api_key}"}
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if self.api_key is not None
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else {}
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),
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},
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) as response:
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data = await response.json()
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return [
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Document(
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page_content=r["text"],
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metadata={"source": r["source"], "score": r["score"]},
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)
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for r in data["results"]
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]
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