mirror of
https://github.com/hwchase17/langchain
synced 2024-11-18 09:25:54 +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
111 lines
3.4 KiB
Python
111 lines
3.4 KiB
Python
from __future__ import annotations
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from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Sequence, Union
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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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if TYPE_CHECKING:
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import tweepy
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from tweepy import OAuth2BearerHandler, OAuthHandler
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def _dependable_tweepy_import() -> tweepy:
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try:
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import tweepy
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except ImportError:
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raise ImportError(
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"tweepy package not found, please install it with `pip install tweepy`"
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)
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return tweepy
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class TwitterTweetLoader(BaseLoader):
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"""Load `Twitter` tweets.
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Read tweets of the user's Twitter handle.
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First you need to go to
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`https://developer.twitter.com/en/docs/twitter-api
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/getting-started/getting-access-to-the-twitter-api`
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to get your token. And create a v2 version of the app.
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"""
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def __init__(
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self,
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auth_handler: Union[OAuthHandler, OAuth2BearerHandler],
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twitter_users: Sequence[str],
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number_tweets: Optional[int] = 100,
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):
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self.auth = auth_handler
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self.twitter_users = twitter_users
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self.number_tweets = number_tweets
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def load(self) -> List[Document]:
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"""Load tweets."""
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tweepy = _dependable_tweepy_import()
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api = tweepy.API(self.auth, parser=tweepy.parsers.JSONParser())
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results: List[Document] = []
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for username in self.twitter_users:
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tweets = api.user_timeline(screen_name=username, count=self.number_tweets)
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user = api.get_user(screen_name=username)
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docs = self._format_tweets(tweets, user)
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results.extend(docs)
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return results
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def _format_tweets(
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self, tweets: List[Dict[str, Any]], user_info: dict
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) -> Iterable[Document]:
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"""Format tweets into a string."""
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for tweet in tweets:
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metadata = {
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"created_at": tweet["created_at"],
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"user_info": user_info,
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}
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yield Document(
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page_content=tweet["text"],
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metadata=metadata,
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)
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@classmethod
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def from_bearer_token(
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cls,
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oauth2_bearer_token: str,
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twitter_users: Sequence[str],
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number_tweets: Optional[int] = 100,
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) -> TwitterTweetLoader:
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"""Create a TwitterTweetLoader from OAuth2 bearer token."""
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tweepy = _dependable_tweepy_import()
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auth = tweepy.OAuth2BearerHandler(oauth2_bearer_token)
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return cls(
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auth_handler=auth,
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twitter_users=twitter_users,
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number_tweets=number_tweets,
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)
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@classmethod
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def from_secrets(
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cls,
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access_token: str,
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access_token_secret: str,
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consumer_key: str,
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consumer_secret: str,
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twitter_users: Sequence[str],
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number_tweets: Optional[int] = 100,
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) -> TwitterTweetLoader:
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"""Create a TwitterTweetLoader from access tokens and secrets."""
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tweepy = _dependable_tweepy_import()
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auth = tweepy.OAuthHandler(
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access_token=access_token,
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access_token_secret=access_token_secret,
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consumer_key=consumer_key,
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consumer_secret=consumer_secret,
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)
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return cls(
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auth_handler=auth,
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twitter_users=twitter_users,
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number_tweets=number_tweets,
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)
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