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feat(agents-api): Add doc search routes
Signed-off-by: Diwank Tomer <[email protected]>
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Diwank Tomer
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Aug 5, 2024
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Original file line number | Diff line number | Diff line change |
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@@ -0,0 +1,111 @@ | ||
import time | ||
from typing import Annotated | ||
|
||
from fastapi import Depends | ||
from pydantic import UUID4 | ||
|
||
from ...autogen.openapi_model import ( | ||
DocSearchResponse, | ||
HybridDocSearchRequest, | ||
TextOnlyDocSearchRequest, | ||
VectorDocSearchRequest, | ||
) | ||
from ...dependencies.developer_id import get_developer_id | ||
from ...models.docs.search_docs_by_embedding import search_docs_by_embedding | ||
from ...models.docs.search_docs_by_text import search_docs_by_text | ||
from ...models.docs.search_docs_hybrid import search_docs_hybrid | ||
from .router import router | ||
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||
|
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def get_search_fn_and_params(search_params): | ||
search_fn, params = None, None | ||
|
||
match search_params: | ||
case TextOnlyDocSearchRequest(text=query, limit=k): | ||
search_fn = search_docs_by_text | ||
params = dict( | ||
query=query, | ||
k=k, | ||
) | ||
|
||
case VectorDocSearchRequest( | ||
vector=query_embedding, limit=k, confidence=confidence | ||
): | ||
search_fn = search_docs_by_embedding | ||
params = dict( | ||
query_embedding=query_embedding, | ||
k=k, | ||
confidence=confidence, | ||
) | ||
|
||
case HybridDocSearchRequest( | ||
text=query, | ||
vector=query_embedding, | ||
limit=k, | ||
confidence=confidence, | ||
alpha=alpha, | ||
): | ||
search_fn = search_docs_hybrid | ||
params = dict( | ||
query=query, | ||
query_embedding=query_embedding, | ||
k=k, | ||
embed_search_options=dict(confidence=confidence), | ||
alpha=alpha, | ||
) | ||
|
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return search_fn, params | ||
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@router.post("/users/{user_id}/search", tags=["docs"]) | ||
async def search_user_docs( | ||
x_developer_id: Annotated[UUID4, Depends(get_developer_id)], | ||
search_params: ( | ||
TextOnlyDocSearchRequest | VectorDocSearchRequest | HybridDocSearchRequest | ||
), | ||
user_id: UUID4, | ||
) -> DocSearchResponse: | ||
search_fn, params = get_search_fn_and_params(search_params) | ||
|
||
start = time.time() | ||
docs = search_fn( | ||
developer_id=x_developer_id, | ||
owner_type="user", | ||
owner_id=user_id, | ||
**params, | ||
) | ||
end = time.time() | ||
|
||
time_taken = end - start | ||
|
||
return DocSearchResponse( | ||
docs=docs, | ||
time=time_taken, | ||
) | ||
|
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@router.post("/agents/{agent_id}/search", tags=["docs"]) | ||
async def search_agent_docs( | ||
x_developer_id: Annotated[UUID4, Depends(get_developer_id)], | ||
search_params: ( | ||
TextOnlyDocSearchRequest | VectorDocSearchRequest | HybridDocSearchRequest | ||
), | ||
agent_id: UUID4, | ||
) -> DocSearchResponse: | ||
search_fn, params = get_search_fn_and_params(search_params) | ||
|
||
start = time.time() | ||
docs = search_fn( | ||
developer_id=x_developer_id, | ||
owner_type="agent", | ||
owner_id=agent_id, | ||
**params, | ||
) | ||
end = time.time() | ||
|
||
time_taken = end - start | ||
|
||
return DocSearchResponse( | ||
docs=docs, | ||
time=time_taken, | ||
) |
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