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community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)

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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
This commit is contained in:
Bagatur
2023-12-11 13:53:30 -08:00
committed by GitHub
parent c0f4b95aa9
commit ed58eeb9c5
2446 changed files with 171805 additions and 137118 deletions
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48
libs/community/langchain_community/tools/gmail/get_thread.py Normal file
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@@ -0,0 +1,48 @@
from typing import Dict, Optional, Type
from langchain_core.callbacks import CallbackManagerForToolRun
from langchain_core.pydantic_v1 import BaseModel, Field
from langchain_community.tools.gmail.base import GmailBaseTool
class GetThreadSchema(BaseModel):
"""Input for GetMessageTool."""
# From https://support.google.com/mail/answer/7190?hl=en
thread_id: str = Field(
...,
description="The thread ID.",
)
class GmailGetThread(GmailBaseTool):
"""Tool that gets a thread by ID from Gmail."""
name: str = "get_gmail_thread"
description: str = (
"Use this tool to search for email messages."
" The input must be a valid Gmail query."
" The output is a JSON list of messages."
)
args_schema: Type[GetThreadSchema] = GetThreadSchema
def _run(
self,
thread_id: str,
run_manager: Optional[CallbackManagerForToolRun] = None,
) -> Dict:
"""Run the tool."""
query = self.api_resource.users().threads().get(userId="me", id=thread_id)
thread_data = query.execute()
if not isinstance(thread_data, dict):
raise ValueError("The output of the query must be a list.")
messages = thread_data["messages"]
thread_data["messages"] = []
keys_to_keep = ["id", "snippet", "snippet"]
# TODO: Parse body.
for message in messages:
thread_data["messages"].append(
{k: message[k] for k in keys_to_keep if k in message}
)
return thread_data