mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +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
37 lines
1.2 KiB
Python
37 lines
1.2 KiB
Python
import json
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from typing import Optional
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from langchain_core.callbacks import CallbackManagerForToolRun
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from langchain_core.tools import BaseTool
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from langchain_community.utilities.graphql import GraphQLAPIWrapper
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class BaseGraphQLTool(BaseTool):
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"""Base tool for querying a GraphQL API."""
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graphql_wrapper: GraphQLAPIWrapper
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name: str = "query_graphql"
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description: str = """\
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Input to this tool is a detailed and correct GraphQL query, output is a result from the API.
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If the query is not correct, an error message will be returned.
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If an error is returned with 'Bad request' in it, rewrite the query and try again.
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If an error is returned with 'Unauthorized' in it, do not try again, but tell the user to change their authentication.
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Example Input: query {{ allUsers {{ id, name, email }} }}\
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""" # noqa: E501
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class Config:
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"""Configuration for this pydantic object."""
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arbitrary_types_allowed = True
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def _run(
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self,
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tool_input: str,
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run_manager: Optional[CallbackManagerForToolRun] = None,
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) -> str:
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result = self.graphql_wrapper.run(tool_input)
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return json.dumps(result, indent=2)
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