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multiple[patch]: fix deprecation versions (#18349)

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Erick Friis 2024-02-29 16:58:33 -08:00 committed by GitHub
parent 11cb42c2c1
commit eefb49680f
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7 changed files with 19 additions and 14 deletions
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3
libs/community/langchain_community/embeddings/azure_openai.py
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@ -1,4 +1,5 @@
"""Azure OpenAI embeddings wrapper.""" """Azure OpenAI embeddings wrapper."""
from __future__ import annotations from __future__ import annotations
import os import os
@ -14,7 +15,7 @@ from langchain_community.utils.openai import is_openai_v1
@deprecated( @deprecated(
since="0.1.0", since="0.0.9",
removal="0.2.0", removal="0.2.0",
alternative_import="langchain_openai.AzureOpenAIEmbeddings", alternative_import="langchain_openai.AzureOpenAIEmbeddings",
) )

2
libs/community/langchain_community/embeddings/openai.py
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@ -139,7 +139,7 @@ async def async_embed_with_retry(embeddings: OpenAIEmbeddings, **kwargs: Any) ->
@deprecated( @deprecated(
since="0.1.0", since="0.0.9",
removal="0.2.0", removal="0.2.0",
alternative_import="langchain_openai.OpenAIEmbeddings", alternative_import="langchain_openai.OpenAIEmbeddings",
) )

2
libs/community/langchain_community/llms/google_palm.py
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@ -59,7 +59,7 @@ def _strip_erroneous_leading_spaces(text: str) -> str:
return text return text
@deprecated("0.0.351", alternative_import="langchain_google_genai.GoogleGenerativeAI") @deprecated("0.0.12", alternative_import="langchain_google_genai.GoogleGenerativeAI")
class GooglePalm(BaseLLM, BaseModel): class GooglePalm(BaseLLM, BaseModel):
""" """
DEPRECATED: Use `langchain_google_genai.GoogleGenerativeAI` instead. DEPRECATED: Use `langchain_google_genai.GoogleGenerativeAI` instead.

2
libs/community/langchain_community/storage/upstash_redis.py
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@ -120,7 +120,7 @@ class _UpstashRedisStore(BaseStore[str, str]):
yield key yield key
@deprecated("0.0.335", alternative="UpstashRedisByteStore") @deprecated("0.0.1", alternative="UpstashRedisByteStore")
class UpstashRedisStore(_UpstashRedisStore): class UpstashRedisStore(_UpstashRedisStore):
""" """
BaseStore implementation using Upstash Redis BaseStore implementation using Upstash Redis

18
libs/community/langchain_community/vectorstores/elastic_vector_search.py
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@ -358,7 +358,7 @@ class ElasticVectorSearch(VectorStore):
self.client.delete(index=self.index_name, id=id) self.client.delete(index=self.index_name, id=id)
@deprecated("0.0.265", alternative="ElasticsearchStore class.", pending=True) @deprecated("0.0.1", alternative="ElasticsearchStore class.", pending=True)
class ElasticKnnSearch(VectorStore): class ElasticKnnSearch(VectorStore):
"""[DEPRECATED] `Elasticsearch` with k-nearest neighbor search """[DEPRECATED] `Elasticsearch` with k-nearest neighbor search
(`k-NN`) vector store. (`k-NN`) vector store.
@ -564,9 +564,11 @@ class ElasticKnnSearch(VectorStore):
docs_and_scores = [ docs_and_scores = [
( (
Document( Document(
page_content=hit["_source"][page_content] page_content=(
if source hit["_source"][page_content]
else hit["fields"][page_content][0], if source
else hit["fields"][page_content][0]
),
metadata=hit["fields"] if fields else {}, metadata=hit["fields"] if fields else {},
), ),
hit["_score"], hit["_score"],
@ -647,9 +649,11 @@ class ElasticKnnSearch(VectorStore):
docs_and_scores = [ docs_and_scores = [
( (
Document( Document(
page_content=hit["_source"][page_content] page_content=(
if source hit["_source"][page_content]
else hit["fields"][page_content][0], if source
else hit["fields"][page_content][0]
),
metadata=hit["fields"] if fields else {}, metadata=hit["fields"] if fields else {},
), ),
hit["_score"], hit["_score"],

2
libs/community/langchain_community/vectorstores/redis/base.py
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@ -742,7 +742,7 @@ class Redis(VectorStore):
tags.extend(self._get_retriever_tags()) tags.extend(self._get_retriever_tags())
return RedisVectorStoreRetriever(vectorstore=self, **kwargs, tags=tags) return RedisVectorStoreRetriever(vectorstore=self, **kwargs, tags=tags)
@deprecated("0.0.272", alternative="similarity_search(distance_threshold=0.1)") @deprecated("0.0.1", alternative="similarity_search(distance_threshold=0.1)")
def similarity_search_limit_score( def similarity_search_limit_score(
self, query: str, k: int = 4, score_threshold: float = 0.2, **kwargs: Any self, query: str, k: int = 4, score_threshold: float = 0.2, **kwargs: Any
) -> List[Document]: ) -> List[Document]:

4
libs/core/langchain_core/prompts/chat.py
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@ -672,7 +672,7 @@ class ChatPromptTemplate(BaseChatPromptTemplate):
return cls.from_messages([message]) return cls.from_messages([message])
@classmethod @classmethod
@deprecated("0.0.260", alternative="from_messages classmethod", pending=True) @deprecated("0.0.1", alternative="from_messages classmethod", pending=True)
def from_role_strings( def from_role_strings(
cls, string_messages: List[Tuple[str, str]] cls, string_messages: List[Tuple[str, str]]
) -> ChatPromptTemplate: ) -> ChatPromptTemplate:
@ -692,7 +692,7 @@ class ChatPromptTemplate(BaseChatPromptTemplate):
) )
@classmethod @classmethod
@deprecated("0.0.260", alternative="from_messages classmethod", pending=True) @deprecated("0.0.1", alternative="from_messages classmethod", pending=True)
def from_strings( def from_strings(
cls, string_messages: List[Tuple[Type[BaseMessagePromptTemplate], str]] cls, string_messages: List[Tuple[Type[BaseMessagePromptTemplate], str]]
) -> ChatPromptTemplate: ) -> ChatPromptTemplate: