This script uploads all the Images to the cloud server "Cloudinary", and add the cloudinary link to the MongoDB server with other properties for fast extraction

UploadCM.py

import os
import requests
import base64
import json
url_upload = "https://blitz-db-service.herokuapp.com/upload"
url_add_products = "https://blitz-db-service.herokuapp.com/product"
dataset_path = "/Users/apoorvgarg/Downloads/Myntra-HackerRamp"
dataset_images = os.path.join(dataset_path,"/images")

for folder_name in os.listdir(dataset_images):
    if folder_name == ".DS_Store":
        continue
    f_n = folder_name.split("_")
    color = f_n[0]
    type_ = f_n[1]
    subtype_ = f_n[2]
    for file_name in os.listdir(os.path.join(dataset_images,folder_name)):
        if file_name == ".DS_Store":
            continue
        img_path = os.path.join(dataset_images,folder_name,file_name)
        with open(img_path,"rb") as img_f:
            b64_String = base64.b64encode(img_f.read())
            b64_= "data:image/png;base64," + str(b64_String.decode('utf-8'))
            body_upload = { "image" : b64_ }
            r_upload = requests.post(url=url_upload,json=body_upload)
            url_cloudinary = r_upload.content.decode('utf-8')

            body_add_products = {
                "name" : file_name,
                "image_url" : url_cloudinary,
                "type": type_,
                "sub_type": subtype_,
                "color": color,
                "is_tagged": True
            }
            r_add_products = requests.post(url_add_products,json = body_add_products)