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64 lines
2.8 KiB
Python
64 lines
2.8 KiB
Python
import os
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from uuid import UUID
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from auth.auth_bearer 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.settings import common_dependencies
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from models.users import User
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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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def get_user_vectors(commons, user):
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user_vectors_response = commons['supabase'].table("vectors").select(
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"name:metadata->>file_name, size:metadata->>file_size", count="exact") \
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.filter("user_id", "eq", user.email)\
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.execute()
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documents = user_vectors_response.data # Access the data from the response
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# Convert each dictionary to a tuple of items, then to a set to remove duplicates, and then back to a dictionary
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user_unique_vectors = [dict(t) for t in set(tuple(d.items()) for d in documents)]
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return user_unique_vectors
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@upload_router.post("/upload", dependencies=[Depends(AuthBearer())], tags=["Upload"])
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async def upload_file(request: Request, uploadFile: UploadFile, brain_id: UUID = Query(..., description="The ID of the brain"), enable_summarization: bool = False, current_user: User = Depends(get_current_user)):
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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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print(brain_id,"brain_id")
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# [TODO] check if the user is the owner/editor of the brain
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brain = Brain(id = brain_id)
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print("brain", brain)
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commons = common_dependencies()
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if request.headers.get('Openai-Api-Key'):
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brain.max_brain_size = 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 = {"message": f"❌ User's brain will exceed maximum capacity with this upload. Maximum file allowed is : {convert_bytes(remaining_free_space)}", "type": "error"}
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else:
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message = await filter_file(commons, file, enable_summarization, brain_id=brain_id ,openai_api_key=request.headers.get('Openai-Api-Key', None))
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return message
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