quivr/backend/core/routes/brain_routes.py

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from uuid import UUID
from auth import AuthBearer, get_current_user
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from fastapi import APIRouter, Depends, HTTPException
from logger import get_logger
from models.brains import (Brain, get_default_user_brain,
get_default_user_brain_or_create_new)
from models.settings import common_dependencies
from models.users import User
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from routes.authorizations.brain_authorization import has_brain_authorization
logger = get_logger(__name__)
brain_router = APIRouter()
# get all brains
@brain_router.get("/brains/", dependencies=[Depends(AuthBearer())], tags=["Brain"])
async def brain_endpoint(current_user: User = Depends(get_current_user)):
"""
Retrieve all brains for the current user.
- `current_user`: The current authenticated user.
- Returns a list of all brains registered for the user.
This endpoint retrieves all the brains associated with the current authenticated user. It returns a list of brains objects
containing the brain ID and brain name for each brain.
"""
brain = Brain()
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brains = brain.get_user_brains(current_user.id)
return {"brains": brains}
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# get default brain
@brain_router.get(
"/brains/default/", dependencies=[Depends(AuthBearer())], tags=["Brain"]
)
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async def get_default_brain_endpoint(current_user: User = Depends(get_current_user)):
"""
Retrieve the default brain for the current user. If the user doesnt have one, it creates one.
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- `current_user`: The current authenticated user.
- Returns the default brain for the user.
This endpoint retrieves the default brain associated with the current authenticated user.
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The default brain is defined as the brain marked as default in the brains_users table.
"""
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brain = get_default_user_brain_or_create_new(current_user)
return {
"id": brain.id,
"name": brain.name,
}
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# get one brain - Currently not used in FE
@brain_router.get(
"/brains/{brain_id}/",
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dependencies=[Depends(AuthBearer()), Depends(has_brain_authorization())],
tags=["Brain"],
)
async def get_brain_endpoint(
brain_id: UUID,
):
"""
Retrieve details of a specific brain by brain ID.
- `brain_id`: The ID of the brain to retrieve details for.
- Returns the brain ID and its history.
This endpoint retrieves the details of a specific brain identified by the provided brain ID. It returns the brain ID and its
history, which includes the brain messages exchanged in the brain.
"""
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brain = Brain(id=brain_id)
brains = brain.get_brain_details()
if len(brains) > 0:
return {
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"id": brain_id,
"name": brains[0]["name"],
"status": brains[0]["status"],
}
else:
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return HTTPException(
status_code=404,
detail="Brain not found",
)
# create new brain
@brain_router.post("/brains/", dependencies=[Depends(AuthBearer())], tags=["Brain"])
async def create_brain_endpoint(
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brain: Brain,
current_user: User = Depends(get_current_user),
):
"""
Create a new brain with given
name
status
model
max_tokens
temperature
In the brains table & in the brains_users table and put the creator user as 'Owner'
"""
brain = Brain(name=brain.name) # pyright: ignore reportPrivateUsage=none
brain.create_brain() # pyright: ignore reportPrivateUsage=none
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default_brain = get_default_user_brain(current_user)
if default_brain:
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logger.info(f"Default brain already exists for user {current_user.id}")
brain.create_brain_user( # pyright: ignore reportPrivateUsage=none
user_id=current_user.id, rights="Owner", default_brain=False
)
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else:
logger.info(
f"Default brain does not exist for user {current_user.id}. It will be created."
)
brain.create_brain_user( # pyright: ignore reportPrivateUsage=none
user_id=current_user.id, rights="Owner", default_brain=True
)
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return {
"id": brain.id, # pyright: ignore reportPrivateUsage=none
"name": brain.name,
}
# update existing brain
@brain_router.put(
"/brains/{brain_id}/",
dependencies=[
Depends(
AuthBearer(),
),
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Depends(has_brain_authorization()),
],
tags=["Brain"],
)
async def update_brain_endpoint(
brain_id: UUID,
input_brain: Brain,
):
"""
Update an existing brain with new brain parameters/files.
If the file is contained in Add file to brain :
if given a fileName/ file sha1 / -> add all the vector Ids to the brains_vectors
Modify other brain fields:
name, status, model, max_tokens, temperature
Return modified brain ? No need -> do an optimistic update
"""
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commons = common_dependencies()
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brain = Brain(id=brain_id)
# Add new file to brain , il file_sha1 already exists in brains_vectors -> out (not now)
if brain.file_sha1: # pyright: ignore reportPrivateUsage=none
# add all the vector Ids to the brains_vectors with the given brain.brain_id
brain.update_brain_with_file(
file_sha1=input_brain.file_sha1 # pyright: ignore reportPrivateUsage=none
)
brain.update_brain_fields(commons, brain) # pyright: ignore reportPrivateUsage=none
return {"message": f"Brain {brain_id} has been updated."}