quivr/backend/routes/crawl_routes.py
Matt e931d29017
feat: new classes (#499)
* feat: new classes

* chore: private llm refactor and enable streaming

* fix: validation errors in pytest

* fix: default brain behavior

* Update backend/llm/base.py

* chore: remove 🪦

* fix: remove 🪦
2023-07-04 16:56:54 +01:00

77 lines
2.6 KiB
Python

import os
import shutil
from tempfile import SpooledTemporaryFile
from uuid import UUID
from auth import AuthBearer, get_current_user
from crawl.crawler import CrawlWebsite
from fastapi import APIRouter, Depends, Query, Request, UploadFile
from models.brains import Brain
from models.files import File
from models.settings import common_dependencies
from models.users import User
from parsers.github import process_github
from utils.file import convert_bytes
from utils.processors import filter_file
crawl_router = APIRouter()
@crawl_router.post("/crawl", dependencies=[Depends(AuthBearer())], tags=["Crawl"])
async def crawl_endpoint(
request: Request,
crawl_website: CrawlWebsite,
brain_id: UUID = Query(..., description="The ID of the brain"),
enable_summarization: bool = False,
current_user: User = Depends(get_current_user),
):
"""
Crawl a website and process the crawled data.
"""
# [TODO] check if the user is the owner/editor of the brain
brain = Brain(id=brain_id)
commons = common_dependencies()
if request.headers.get("Openai-Api-Key"):
brain.max_brain_size = os.getenv("MAX_BRAIN_SIZE_WITH_KEY", 209715200)
file_size = 1000000
remaining_free_space = brain.remaining_brain_size
if remaining_free_space - file_size < 0:
message = {
"message": f"❌ User's brain will exceed maximum capacity with this upload. Maximum file allowed is : {convert_bytes(remaining_free_space)}",
"type": "error",
}
else:
if not crawl_website.checkGithub():
file_path, file_name = crawl_website.process()
# Create a SpooledTemporaryFile from the file_path
spooled_file = SpooledTemporaryFile()
with open(file_path, "rb") as f:
shutil.copyfileobj(f, spooled_file)
# Pass the SpooledTemporaryFile to UploadFile
uploadFile = UploadFile(file=spooled_file, filename=file_name)
file = File(file=uploadFile)
# check remaining free space here !!
message = await filter_file(
commons,
file,
enable_summarization,
brain.id,
openai_api_key=request.headers.get("Openai-Api-Key", None),
)
return message
else:
# check remaining free space here !!
message = await process_github(
commons,
crawl_website.url,
"false",
brain_id,
user_openai_api_key=request.headers.get("Openai-Api-Key", None),
)