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711e9fb8c9
* use function for get_documents_vector_store * use function for get_embeddings * use function for get_supabase_client * use function for get_supabase_db * delete lasts common_dependencies
78 lines
2.8 KiB
Python
78 lines
2.8 KiB
Python
import os
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from uuid import UUID
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from auth import AuthBearer, get_current_user
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from fastapi import APIRouter, Depends, Query, Request, UploadFile
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from models.brains import Brain
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from models.files import File
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from models.users import User
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from repository.brain.get_brain_details import get_brain_details
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from repository.user_identity.get_user_identity import get_user_identity
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from routes.authorizations.brain_authorization import (
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RoleEnum,
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validate_brain_authorization,
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)
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from utils.file import convert_bytes, get_file_size
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from utils.processors import filter_file
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upload_router = APIRouter()
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@upload_router.post("/upload", dependencies=[Depends(AuthBearer())], tags=["Upload"])
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async def upload_file(
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request: Request,
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uploadFile: UploadFile,
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brain_id: UUID = Query(..., description="The ID of the brain"),
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enable_summarization: bool = False,
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current_user: User = Depends(get_current_user),
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):
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"""
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Upload a file to the user's storage.
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- `file`: The file to be uploaded.
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- `enable_summarization`: Flag to enable summarization of the file's content.
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- `current_user`: The current authenticated user.
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- Returns the response message indicating the success or failure of the upload.
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This endpoint allows users to upload files to their storage (brain). It checks the remaining free space in the user's storage (brain)
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and ensures that the file size does not exceed the maximum capacity. If the file is within the allowed size limit,
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it can optionally apply summarization to the file's content. The response message will indicate the status of the upload.
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"""
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validate_brain_authorization(
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brain_id, current_user.id, [RoleEnum.Editor, RoleEnum.Owner]
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)
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brain = Brain(id=brain_id)
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if request.headers.get("Openai-Api-Key"):
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brain.max_brain_size = int(os.getenv("MAX_BRAIN_SIZE_WITH_KEY", 209715200))
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remaining_free_space = brain.remaining_brain_size
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file_size = get_file_size(uploadFile)
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file = File(file=uploadFile)
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if remaining_free_space - file_size < 0:
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message = {
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"message": f"❌ User's brain will exceed maximum capacity with this upload. Maximum file allowed is : {convert_bytes(remaining_free_space)}",
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"type": "error",
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}
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else:
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openai_api_key = request.headers.get("Openai-Api-Key", None)
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if openai_api_key is None:
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brain_details = get_brain_details(brain_id)
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if brain_details:
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openai_api_key = brain_details.openai_api_key
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if openai_api_key is None:
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openai_api_key = get_user_identity(current_user.id).openai_api_key
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message = await filter_file(
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file=file,
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enable_summarization=enable_summarization,
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brain_id=brain_id,
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openai_api_key=openai_api_key,
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)
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return message
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