quivr/backend/routes/upload_routes.py
Mamadou DICKO 575d9886c5
feat: add notifications table, and push notification on upload and crawl (#1125)
* feat: add notifications table

* feat: add Notification model

* feat: add notification repositories

* feat: add upload and crawl notifications

* feat: update notification message
2023-09-07 13:22:06 +02:00

102 lines
3.6 KiB
Python

import os
from uuid import UUID
from auth import AuthBearer, get_current_user
from fastapi import APIRouter, Depends, Query, Request, UploadFile
from models import Brain, File, UserIdentity
from models.databases.supabase.notifications import (
CreateNotificationProperties,
NotificationUpdatableProperties,
)
from models.notifications import NotificationsStatusEnum
from repository.brain import get_brain_details
from repository.notification.add_notification import add_notification
from repository.notification.update_notification import (
update_notification_by_id,
)
from repository.user_identity import get_user_identity
from utils.file import convert_bytes, get_file_size
from utils.processors import filter_file
from routes.authorizations.brain_authorization import (
RoleEnum,
validate_brain_authorization,
)
upload_router = APIRouter()
@upload_router.get("/upload/healthz", tags=["Health"])
async def healthz():
return {"status": "ok"}
@upload_router.post("/upload", dependencies=[Depends(AuthBearer())], tags=["Upload"])
async def upload_file(
request: Request,
uploadFile: UploadFile,
brain_id: UUID = Query(..., description="The ID of the brain"),
enable_summarization: bool = False,
current_user: UserIdentity = Depends(get_current_user),
):
"""
Upload a file to the user's storage.
- `file`: The file to be uploaded.
- `enable_summarization`: Flag to enable summarization of the file's content.
- `current_user`: The current authenticated user.
- Returns the response message indicating the success or failure of the upload.
This endpoint allows users to upload files to their storage (brain). It checks the remaining free space in the user's storage (brain)
and ensures that the file size does not exceed the maximum capacity. If the file is within the allowed size limit,
it can optionally apply summarization to the file's content. The response message will indicate the status of the upload.
"""
validate_brain_authorization(
brain_id, current_user.id, [RoleEnum.Editor, RoleEnum.Owner]
)
brain = Brain(id=brain_id)
if request.headers.get("Openai-Api-Key"):
brain.max_brain_size = int(os.getenv("MAX_BRAIN_SIZE_WITH_KEY", 209715200))
remaining_free_space = brain.remaining_brain_size
file_size = get_file_size(uploadFile)
file = File(file=uploadFile)
if remaining_free_space - file_size < 0:
message = {
"message": f"❌ UserIdentity's brain will exceed maximum capacity with this upload. Maximum file allowed is : {convert_bytes(remaining_free_space)}",
"type": "error",
}
else:
upload_notification = add_notification(
CreateNotificationProperties(
action="UPLOAD",
)
)
openai_api_key = request.headers.get("Openai-Api-Key", None)
if openai_api_key is None:
brain_details = get_brain_details(brain_id)
if brain_details:
openai_api_key = brain_details.openai_api_key
if openai_api_key is None:
openai_api_key = get_user_identity(current_user.id).openai_api_key
message = await filter_file(
file=file,
enable_summarization=enable_summarization,
brain_id=brain_id,
openai_api_key=openai_api_key,
)
update_notification_by_id(
upload_notification.id,
NotificationUpdatableProperties(
status=NotificationsStatusEnum.Done, message=str(message)
),
)
return message