BlurMe/blurme/state.py

"""Base state for the app."""

import reflex as rx
import os
import stat  
#from blurme import styles
import asyncio
from graphics.image_modification import blur_boxes_on_image
from graphics.image_modification import show_image_with_boxes
from ml.element_detection import BoundBox, detect

class State(rx.State):
   """The app state."""

   # The images to show.
   img: list[str]  = []
   
   show: bool = False
   def toggle_show(self):
        self.show = not self.show

   show_extension_alert: bool = False
   def toggle_extension_alert(self):
        self.show_extension_alert = not self.show_extension_alert

   def change(self):
        self.show = not (self.show)


   async def handle_upload(self, files: list[rx.UploadFile]):
       """Handle the upload of file(s).
       Args:
           files: The uploaded files.
       """
       max_files_limit = 5
       acceptable_extensions = {"png", "jpg", "jpeg", "webp", "tif", "tiff"}

       if len(self.img) + len(files) > max_files_limit:
            self.toggle_show()
            return

       for file in files:
            upload_data = await file.read()
            outfile = rx.get_asset_path(file.filename)

            extension = file.filename.split(".")[-1]
            
            if extension.lower() not in acceptable_extensions:
                self.toggle_extension_alert()
                return

           # Save the file.
            with open(outfile, "wb") as file_object:
               file_object.write(upload_data)

           # Update the img var.            
            self.img.append(file.filename)     
  
       self.img = self.img

       
   def delete_image(self, img_name: str):
       if img_name in self.img:
           self.img.remove(img_name)
       self.img=self.img

   def download_image(self, img_name):
    print(self.img)
    return rx.download(url=f'/{img_name}', filename=img_name)

   async def image_analysis(self, img_name: str):
       if img_name in self.img:
           stripped_image_name = str(img_name).lstrip("analysis-").lstrip("anonim-")
           image_path = rx.get_asset_path(stripped_image_name)
           #timestamp = datetime.now().strftime("%Y%m%d%H%M%S%f")
           new_image_name = f"analysis-{stripped_image_name}"
           new_image_path = rx.get_asset_path(new_image_name)
           show_image_with_boxes(image_path, detect(image_path), new_image_path)
           upload_file = rx.UploadFile(file=open(new_image_path, 'rb'), filename=new_image_name)
           self.delete_image(img_name)
           await self.handle_upload([upload_file])
       self.img=self.img

   async def image_anonymization(self, img_name: str):
       if img_name in self.img:
           stripped_image_name = str(img_name).lstrip("analysis-").lstrip("anonim-")
           image_path = rx.get_asset_path(stripped_image_name)
           #timestamp = datetime.now().strftime("%Y%m%d%H%M%S%f")
           new_image_name = f"anonim-{stripped_image_name}"
           new_image_path = rx.get_asset_path(new_image_name)
           blur_boxes_on_image(image_path, detect(image_path), new_image_path)
           upload_file = rx.UploadFile(file=open(new_image_path, 'rb'), filename=new_image_name)
           self.delete_image(img_name)
           await self.handle_upload([upload_file])
       self.img=self.img