mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +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
65 lines
2.3 KiB
Python
65 lines
2.3 KiB
Python
from typing import Any, Dict, List, Optional
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from langchain_core.callbacks import CallbackManagerForRetrieverRun
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from langchain_core.documents import Document
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from langchain_core.pydantic_v1 import root_validator
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from langchain_core.retrievers import BaseRetriever
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from langchain_core.utils import get_from_dict_or_env
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class YouRetriever(BaseRetriever):
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"""`You` retriever that uses You.com's search API.
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To connect to the You.com api requires an API key which
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you can get by emailing api@you.com.
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You can check out our docs at https://documentation.you.com.
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You need to set the environment variable `YDC_API_KEY` for retriever to operate.
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"""
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ydc_api_key: str
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k: Optional[int] = None
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n_hits: Optional[int] = None
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n_snippets_per_hit: Optional[int] = None
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endpoint_type: str = "web"
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@root_validator(pre=True)
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def validate_client(
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cls,
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values: Dict[str, Any],
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) -> Dict[str, Any]:
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values["ydc_api_key"] = get_from_dict_or_env(
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values, "ydc_api_key", "YDC_API_KEY"
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)
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return values
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def _get_relevant_documents(
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self, query: str, *, run_manager: CallbackManagerForRetrieverRun
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) -> List[Document]:
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import requests
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headers = {"X-API-Key": self.ydc_api_key}
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if self.endpoint_type == "web":
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results = requests.get(
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f"https://api.ydc-index.io/search?query={query}",
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headers=headers,
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).json()
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docs = []
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n_hits = self.n_hits or len(results["hits"])
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for hit in results["hits"][:n_hits]:
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n_snippets_per_hit = self.n_snippets_per_hit or len(hit["snippets"])
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for snippet in hit["snippets"][:n_snippets_per_hit]:
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docs.append(Document(page_content=snippet))
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if self.k is not None and len(docs) >= self.k:
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return docs
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return docs
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elif self.endpoint_type == "snippet":
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results = requests.get(
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f"https://api.ydc-index.io/snippet_search?query={query}",
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headers=headers,
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).json()
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return [Document(page_content=snippet) for snippet in results]
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else:
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raise RuntimeError(f"Invalid endpoint type provided {self.endpoint_type}")
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