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
96 lines
3.3 KiB
Python
96 lines
3.3 KiB
Python
"""Util that calls Outline."""
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import logging
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from typing import Any, Dict, List, Optional
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import requests
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from langchain_core.documents import Document
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from langchain_core.pydantic_v1 import BaseModel, root_validator
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from langchain_core.utils import get_from_dict_or_env
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logger = logging.getLogger(__name__)
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OUTLINE_MAX_QUERY_LENGTH = 300
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class OutlineAPIWrapper(BaseModel):
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"""Wrapper around OutlineAPI.
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This wrapper will use the Outline API to query the documents of your instance.
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By default it will return the document content of the top-k results.
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It limits the document content by doc_content_chars_max.
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"""
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top_k_results: int = 3
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load_all_available_meta: bool = False
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doc_content_chars_max: int = 4000
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outline_instance_url: Optional[str] = None
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outline_api_key: Optional[str] = None
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outline_search_endpoint: str = "/api/documents.search"
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@root_validator()
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def validate_environment(cls, values: Dict) -> Dict:
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"""Validate that instance url and api key exists in environment."""
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outline_instance_url = get_from_dict_or_env(
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values, "outline_instance_url", "OUTLINE_INSTANCE_URL"
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)
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values["outline_instance_url"] = outline_instance_url
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outline_api_key = get_from_dict_or_env(
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values, "outline_api_key", "OUTLINE_API_KEY"
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)
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values["outline_api_key"] = outline_api_key
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return values
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def _result_to_document(self, outline_res: Any) -> Document:
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main_meta = {
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"title": outline_res["document"]["title"],
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"source": self.outline_instance_url + outline_res["document"]["url"],
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}
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add_meta = (
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{
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"id": outline_res["document"]["id"],
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"ranking": outline_res["ranking"],
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"collection_id": outline_res["document"]["collectionId"],
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"parent_document_id": outline_res["document"]["parentDocumentId"],
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"revision": outline_res["document"]["revision"],
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"created_by": outline_res["document"]["createdBy"]["name"],
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}
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if self.load_all_available_meta
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else {}
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)
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doc = Document(
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page_content=outline_res["document"]["text"][: self.doc_content_chars_max],
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metadata={
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**main_meta,
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**add_meta,
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},
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)
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return doc
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def _outline_api_query(self, query: str) -> List:
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raw_result = requests.post(
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f"{self.outline_instance_url}{self.outline_search_endpoint}",
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data={"query": query, "limit": self.top_k_results},
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headers={"Authorization": f"Bearer {self.outline_api_key}"},
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)
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if not raw_result.ok:
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raise ValueError("Outline API returned an error: ", raw_result.text)
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return raw_result.json()["data"]
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def run(self, query: str) -> List[Document]:
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"""
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Run Outline search and get the document content plus the meta information.
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Returns: a list of documents.
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"""
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results = self._outline_api_query(query[:OUTLINE_MAX_QUERY_LENGTH])
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docs = []
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for result in results[: self.top_k_results]:
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if doc := self._result_to_document(result):
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docs.append(doc)
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return docs
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