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thejagstudio
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•
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Parent(s):
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- .gitattributes +1 -0
- Dockerfile +7 -0
- README.md +1 -10
- amazon/__init__.py +0 -0
- amazon/__pycache__/__init__.cpython-311.pyc +0 -0
- amazon/__pycache__/admin.cpython-311.pyc +0 -0
- amazon/__pycache__/apps.cpython-311.pyc +0 -0
- amazon/__pycache__/models.cpython-311.pyc +0 -0
- amazon/__pycache__/urls.cpython-311.pyc +0 -0
- amazon/__pycache__/views.cpython-311.pyc +0 -0
- amazon/admin.py +3 -0
- amazon/apps.py +6 -0
- amazon/migrations/__init__.py +0 -0
- amazon/migrations/__pycache__/__init__.cpython-311.pyc +0 -0
- amazon/models.py +3 -0
- amazon/tests.py +3 -0
- amazon/urls.py +9 -0
- amazon/views.py +187 -0
- amazonDetails.html +0 -0
- data/action-camera.json +2908 -0
- data/air-fryer.json +1 -0
- data/all-in-one-computer.json +1 -0
- data/all-in-one-printer.json +1 -0
- data/art-design-faculty.json +1 -0
- data/bike-light.json +1 -0
- data/bluetooth-headset.json +1648 -0
- data/business-faculty.json +1 -0
- data/calendar-app.json +674 -0
- data/camcorder.json +1 -0
- data/camera-lens.json +0 -0
- data/camera.json +0 -0
- data/car.json +0 -0
- data/city.json +0 -0
- data/coffee-machine-commercial.json +1 -0
- data/coffee-machine-super-automatic.json +1 -0
- data/coffee-machine.json +1 -0
- data/country.json +0 -0
- data/cpu.json +0 -0
- data/dating-app.json +1 -0
- data/dishwasher.json +1 -0
- data/dj-controller.json +1 -0
- data/dj-software.json +1 -0
- data/drawing-tablet.json +1594 -0
- data/drill.json +1 -0
- data/drone.json +1 -0
- data/electric-bike.json +1 -0
- data/electric-scooter.json +1 -0
- data/enterprise-cpu.json +0 -0
- data/ereader.json +1 -0
- data/faculty.json +1 -0
.gitattributes
CHANGED
@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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db.sqlite3 filter=lfs diff=lfs merge=lfs -text
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Dockerfile
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FROM python:3
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WORKDIR /usr/src/app
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COPY requirements.txt ./
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RUN pip install -r requirements.txt
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COPY . .
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EXPOSE 7860
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CMD ["python","./manage.py","runserver","0.0.0.0:7860"]
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README.md
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title: Procom
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emoji: 💻
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colorFrom: blue
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colorTo: yellow
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sdk: docker
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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# procomBackend
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amazon/__init__.py
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amazon/__pycache__/__init__.cpython-311.pyc
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amazon/__pycache__/admin.cpython-311.pyc
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Binary file (241 Bytes). View file
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amazon/__pycache__/apps.cpython-311.pyc
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Binary file (557 Bytes). View file
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amazon/__pycache__/models.cpython-311.pyc
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Binary file (238 Bytes). View file
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amazon/__pycache__/urls.cpython-311.pyc
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amazon/__pycache__/views.cpython-311.pyc
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amazon/admin.py
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from django.contrib import admin
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# Register your models here.
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amazon/apps.py
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from django.apps import AppConfig
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class AmazonConfig(AppConfig):
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default_auto_field = "django.db.models.BigAutoField"
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name = "amazon"
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amazon/migrations/__init__.py
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amazon/migrations/__pycache__/__init__.cpython-311.pyc
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amazon/models.py
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from django.db import models
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# Create your models here.
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amazon/tests.py
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from django.test import TestCase
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# Create your tests here.
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amazon/urls.py
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from django.urls import path
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from . import views
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from django.conf import settings
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urlpatterns = [
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path('search/', views.searchQuery),
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path('fetchData/', views.getProductsList),
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path('fetchProduct/', views.getProductDetail)
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]
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amazon/views.py
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from django.shortcuts import render
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from rest_framework.response import Response
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from rest_framework.decorators import api_view
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import http.client
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import json
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import requests
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from bs4 import BeautifulSoup
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# Create your views here.
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def sessionIdGenrator():
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conn = http.client.HTTPSConnection("www.amazon.in")
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payload = ''
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headers = {}
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conn.request("GET", "/", payload, headers)
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res = conn.getresponse()
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data = res.read()
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response = data.decode("utf-8")
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ue_sid = response.split("ue_sid =")[1].split(',')[0].split("'")[1]
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ue_mid = response.split("ue_mid =")[1].split(',')[0].split("'")[1]
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return ue_sid, ue_mid
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def searchAPI(ue_sid, ue_mid, query):
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conn = http.client.HTTPSConnection("completion.amazon.in")
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payload = ''
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headers = {}
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conn.request("GET", "/api/2017/suggestions?prefix="+query.replace(" ", "+") +
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"&alias=aps&session-id="+ue_sid+"&mid="+ue_mid, payload, headers)
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res = conn.getresponse()
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data = res.read()
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response = data.decode("utf-8")
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return json.loads(response)
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def getAllProduct(query, page):
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conn = http.client.HTTPSConnection("www.amazon.in")
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payload = ''
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headers = {}
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conn.request("POST", "/s/query?k="+query +
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"&page="+str(page), payload, headers)
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res = conn.getresponse()
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data = res.read()
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response = data.decode("utf-8")
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tempData = response.split("&&&")[3:-1]
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data = []
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for i in tempData:
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try:
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tempProduct = {}
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tempHtml = json.loads(i)[2]["html"]
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soup = BeautifulSoup(tempHtml, features="html5lib")
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try:
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stars = soup.find_all("span", {"class", "a-icon-alt"})[0].text
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tempProduct["stars"] = stars
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except:
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pass
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try:
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imgs = soup.find_all("img", {"class", "s-image"})[0]['srcset']
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tempProduct["imgs"] = imgs
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except:
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pass
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try:
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title = soup.find_all(
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"img", {"class", "s-image"})[0]['alt'].replace("Sponsored Ad - ", "")
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tempProduct["title"] = title
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except:
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pass
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try:
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link = soup.find_all("a")[0]["href"]
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tempProduct["link"] = link
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except:
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pass
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try:
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symbol = soup.find_all(
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"span", {"class", "a-price-symbol"})[0].text
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tempProduct["symbol"] = symbol
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except:
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pass
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try:
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price = soup.find_all(
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"span", {"class", "a-price-whole"})[0].text
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tempProduct["price"] = price
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except:
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pass
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try:
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fullPrice = soup.find_all(
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"span", {"class", "a-offscreen"})[1].text
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tempProduct["fullPrice"] = fullPrice
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except:
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pass
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try:
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offer = soup.find_all(
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"span", {"class", "a-truncate-full"})[0].text
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tempProduct["offer"] = offer
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except:
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pass
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try:
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dataAsin = json.loads(i)[2]["asin"]
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tempProduct["asin"] = dataAsin
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except:
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pass
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if(tempProduct != {} and "title" in tempProduct.keys() and "asin" in tempProduct.keys()):
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data.append(tempProduct)
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except:
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pass
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return data
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@api_view(['GET'])
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def getProductsList(request):
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query = (request.GET.get('query')).replace(" ", "+")
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try:
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page = (request.GET.get('page'))
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except:
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page = 1
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data = getAllProduct(query, page)
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return Response({"data": data})
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@api_view(['GET'])
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def getProductDetail(request):
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productId = request.GET.get('id')
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conn = http.client.HTTPSConnection("www.amazon.in")
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payload = ''
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headers = {}
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conn.request("GET", "/dp/"+productId+"/", payload, headers)
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res = conn.getresponse()
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data = res.read()
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response = data.decode("utf-8")
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data = {}
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soup = BeautifulSoup(response, features="html5lib")
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132 |
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#title = response.split('id="productTitle"')[1].split(">")[1].split("</span")[0].strip()
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133 |
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title = soup.find_all(
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"span", {"class", "a-size-large product-title-word-break"})[0].text.strip()
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data['title'] = title
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symbol = soup.find_all("span", {"class", "a-price-symbol"})[0].text
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data["symbol"] = symbol
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savingsPercentage = soup.find_all(
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"span", {"class", "savingsPercentage"})[0].text
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140 |
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data["savingPercentage"] = savingsPercentage
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141 |
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imgs = soup.find_all(
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"img", {"class", "a-dynamic-image"})
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imgArr = []
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for i in imgs:
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imgArr.append("https://m.media-amazon.com/images/I/" +
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i["src"].split("/I/")[1].split(".")[0]+".jpg")
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147 |
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data["images"] = imgArr
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148 |
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scripts = soup.find_all("script")
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149 |
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tempData = {}
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150 |
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for i in scripts:
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try:
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152 |
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temp = str(i).split("<script")[1].split(
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153 |
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">")[1].split("</script")[0]
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154 |
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for key, item in json.loads(temp).items():
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155 |
+
if item != None or item != "nulll" or item != True or item != False:
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156 |
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tempData[key] = item
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157 |
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except:
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158 |
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pass
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159 |
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data["currencyCode"] = tempData["currencyCode"]
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160 |
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data["productPrice"] = tempData["productPrice"]
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161 |
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data["brand"] = tempData["brand"]
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162 |
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data["category"] = tempData["buyBackCategory"]
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163 |
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return Response({"data": data})
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164 |
+
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165 |
+
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166 |
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@api_view(['GET'])
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167 |
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def searchQuery(request):
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168 |
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query = request.GET.get('query')
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169 |
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if not ('ue_sid' in request.session and 'ue_mid' in request.session):
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170 |
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ue_sid, ue_mid = sessionIdGenrator()
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171 |
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request.session['ue_sid'] = ue_sid
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172 |
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request.session['ue_mid'] = ue_mid
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173 |
+
else:
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174 |
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ue_sid = request.session['ue_sid']
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175 |
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ue_mid = request.session['ue_mid']
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176 |
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try:
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177 |
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tempData = searchAPI(ue_sid, ue_mid, query)
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178 |
+
except:
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179 |
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ue_sid, ue_mid = sessionIdGenrator()
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180 |
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request.session['ue_sid'] = ue_sid
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181 |
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request.session['ue_mid'] = ue_mid
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182 |
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tempData = searchAPI(ue_sid, ue_mid, query)
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183 |
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values = []
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184 |
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for i in tempData["suggestions"]:
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185 |
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values.append(i["value"])
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186 |
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data = {"data": values}
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return Response(data)
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amazonDetails.html
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data/action-camera.json
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data/air-fryer.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
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data/art-design-faculty.json
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data/bike-light.json
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|
data/bluetooth-headset.json
ADDED
@@ -0,0 +1,1648 @@
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|
1 |
+
{
|
2 |
+
"data": [
|
3 |
+
{
|
4 |
+
"name": "Anker Mono",
|
5 |
+
"score": 78,
|
6 |
+
"image": "/images/WEBP/headset-mobile-phone/anker-mono.front.medium2x.1610300569056.webp",
|
7 |
+
"propGroups": [
|
8 |
+
"Design",
|
9 |
+
"Sound quality",
|
10 |
+
"Microphone",
|
11 |
+
"Power",
|
12 |
+
"Connectivity",
|
13 |
+
"Features"
|
14 |
+
],
|
15 |
+
"propScore": [
|
16 |
+
0.3502444041152277,
|
17 |
+
0.7443759630200308,
|
18 |
+
0,
|
19 |
+
0.7888888888888889,
|
20 |
+
0.5114672285682599,
|
21 |
+
0.56
|
22 |
+
]
|
23 |
+
},
|
24 |
+
{
|
25 |
+
"name": "BlackBerry HS-500",
|
26 |
+
"score": 33,
|
27 |
+
"image": "/images/WEBP/headset-mobile-phone/blackberry-hs-500.front.medium2x.1576684641045.webp",
|
28 |
+
"propGroups": [
|
29 |
+
"Design",
|
30 |
+
"Sound quality",
|
31 |
+
"Microphone",
|
32 |
+
"Power",
|
33 |
+
"Connectivity",
|
34 |
+
"Features"
|
35 |
+
],
|
36 |
+
"propScore": [
|
37 |
+
0.23617511520737328,
|
38 |
+
0.3333333333333333,
|
39 |
+
0.47368421052631576,
|
40 |
+
0.3333333333333333,
|
41 |
+
0.30209604081179997,
|
42 |
+
0.4666666666666666
|
43 |
+
]
|
44 |
+
},
|
45 |
+
{
|
46 |
+
"name": "BlackBerry HS-700",
|
47 |
+
"score": 31,
|
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|
data/business-faculty.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
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data/calendar-app.json
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data/camcorder.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
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data/coffee-machine.json
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{"data": [{"name": "Breville Barista Express", "score": 100, "image": "/images/WEBP/coffee-machine/breville-barista-express.front.medium2x.1591875883628.webp", "propGroups": ["General info", "Components", "Water source", "Maintenance", "Features"], "propScore": [0.6161688272266407, 0.6885758998435055, 0.8044382801664355, 1, 0.6349206349206349]}, {"name": "Breville Dual Boiler", "score": 95, "image": "/images/WEBP/coffee-machine/breville-dual-boiler.front.medium2x.1591875883628.webp", "propGroups": ["General info", "Components", "Water source", "Maintenance", "Features"], "propScore": [0.3891022408377389, 0.6704433460490226, 0.8054548606733073, 0.25, 1]}, {"name": "Breville Duo-Temp", "score": 48, "image": "/images/WEBP/coffee-machine/breville-duo-temp.front.medium2x.1591875883628.webp", "propGroups": ["General info", "Components", "Water source", "Maintenance", "Features"], "propScore": [0.4085108630181689, 0.31780426146623336, 1, 0.5, 0.23809523809523808]}, {"name": "Breville 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{"data": [{"name": "Blendr", "score": 76, "image": "/images/WEBP/dating-app/blendr.front.medium2x.1576684641045.webp", "propGroups": ["General info", "Profile & Matching", "Notifications", "Messaging features", "Security", "Features"], "propScore": [0.9185498872544243, 0.6666666666666666, 1, 0.5, 0.33333333333333337, 0.5]}, {"name": "Are You Interested", "score": 55, "image": "/images/WEBP/dating-app/are-you-interested.front.medium2x.1576684641045.webp", "propGroups": ["General info", "Profile & Matching", "Notifications", "Messaging features", "Security", "Features"], "propScore": [0.8251611863546328, 0.5555555555555556, 0.6666666666666666, 0.16666666666666666, 0, 0.5]}, {"name": "Badoo", "score": 64, "image": "/images/WEBP/dating-app/badoo.front.medium2x.1576684641045.webp", "propGroups": ["General info", "Profile & Matching", "Notifications", "Messaging features", "Security", "Features"], "propScore": [0.9583584703559641, 0.22222222222222224, 0.6666666666666666, 0.16666666666666666, 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{"name": "Whirlpool WDT910SSYM", "score": 55, "image": "/images/WEBP/dishwasher/whirlpool-wdt910ssym.front.medium2x.1591877157033.webp", "propGroups": ["General info", "Programs", "Dish load", "Efficiency", "Features", "Miscellaneous"], "propScore": [0.28518765087895037, 0.625924075924076, 0.2719298245614035, 0.7633333333333333, 0.5]}]}
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{"data": [{"name": "Allen & Heath Xone 2D", "score": 55, "image": "/images/WEBP/all-in-one-dj-midi-controller/allen-heath-xone-2d.front.medium2x.1576684641045.webp", "propGroups": ["Design", "Controls & Buttons", "Keys & Pads", "Ports", "Features"], "propScore": [0.7056622336022127, 0.31934080804175535, 0.125, 0.7595959595959596, 0.442596738087624]}, {"name": "American Audio Versadeck", "score": 55, "image": "/images/WEBP/all-in-one-dj-midi-controller/american-audio-versadeck.front.medium2x.1576684641045.webp", "propGroups": ["Design", "Controls & Buttons", "Keys & Pads", "Ports", "Features"], "propScore": [0.84943635087907, 0.5230717185385657, 0.75, 0.6370370370370371, 0.6013542637060109]}, {"name": "Allen & Heath Xone 4D", "score": 100, "image": "/images/WEBP/all-in-one-dj-midi-controller/allen-heath-xone-4d.front.medium2x.1576684641045.webp", "propGroups": ["Design", "Controls & Buttons", "Keys & Pads", "Ports", "Features"], "propScore": [0.8095157733369693, 1, 0.25, 1, 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{"data": [{"name": "Aria", "score": 20, "image": "/images/WEBP/dj-software/aria.front.medium2x.1576684641045.webp", "propGroups": ["Compatibility", "Effects", "Audio processing", "File types", "Features"], "propScore": [0.16666666666666666, 0.23076923076923075, 0.24361581920903955, 0.6, 0.3333333333333333]}, {"name": "Algoriddim Djay", "score": 77, "image": "/images/WEBP/dj-software/algoriddim-djay.front.medium2x.1576684641045.webp", "propGroups": ["Compatibility", "Effects", "Audio processing", "File types", "Features"], "propScore": [0.6666666666666666, 0.8136752136752138, 0.6655367231638418, 0.8, 0.6666666666666666]}, {"name": "Ableton Live 9", "score": 77, "image": "/images/WEBP/dj-software/ableton-live-9.front.medium2x.1576684641045.webp", "propGroups": ["Compatibility", "Effects", "Audio processing", "File types", "Features"], "propScore": [0.6666666666666666, 1, 0.6745762711864407, 0.6, 0.5833333333333333]}, {"name": "Admix DJ", "score": 21, "image": 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|
data/drawing-tablet.json
ADDED
@@ -0,0 +1,1594 @@
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data/drill.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
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"propGroups": ["Design", "Battery", "Performance", "Features"], "propScore": [0.5994586172358104, 0.5185185185185185, 0.4864592109868316, 0.7142857142857143]}]}
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{"data": [{"name": "Apollo City", "score": 69, "image": "/images/WEBP/electric-scooter/apollo-city.front.medium2x.1620302050370.webp", "propGroups": ["Design", "Performance", "Battery"], "propScore": [0.8861648465582087, 0.4608389054274058, 0.8245416173481921]}, {"name": "Apollo Ghost", "score": 77, "image": "/images/WEBP/electric-scooter/apollo-ghost.front.medium2x.1620304376937.webp", "propGroups": ["Design", "Performance", "Battery"], "propScore": [0.8487341455668472, 0.7427094244825018, 0.6380842843424078]}, {"name": "Apollo Light", "score": 66, "image": "/images/WEBP/electric-scooter/apollo-light.front.medium2x.1620303523015.webp", "propGroups": ["Design", "Performance", "Battery"], "propScore": [0.9311031322809358, 0.42234806892648047, 0.7562922929182393]}, {"name": "Apollo Explore", "score": 67, "image": "/images/WEBP/electric-scooter/apollo-explore.front.medium2x.1620301080953.webp", "propGroups": ["Design", "Performance", "Battery"], "propScore": [0.8663242775258008, 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"score": 58, "image": "/images/WEBP/electric-scooter/xiaomi-mi-electric-scooter.front.medium2x.1603010416466.webp", "propGroups": ["Design", "Performance", "Battery"], "propScore": [0.7004804460645512, 0.4127140939291293, 0.7286806614977569]}]}
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