langchain/libs/community/langchain_community/retrievers/you.py
Bagatur ed58eeb9c5
community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)
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
2023-12-11 13:53:30 -08:00

65 lines
2.3 KiB
Python

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