class ZomotoAPI:
def __init__(self):
# Api secret keys stored in enviornment variable
self.api_key = os.environ.get('api_key')
def get_Categories(self, citi_id):
self.api_client_auth = Pyzomato(self.api_key)
self.api_client_auth.search(name="Chennai")
# city id for chennai is 7
return self.api_client_auth.getCategories()
def search_city_by_geo_code(self, latitude, longitude):
return self.api_client_auth.getByGeocode(latitude, longitude)
def locating_res_by_id(self, res_id):
# id > 18387708
# name > kakada ramprasad
# "locality_verbose": "Kilpauk, Chennai"
return self.api_client_auth.getRestaurantDetails(res_id)
def showRestaurantDetails(request, value):
p = Pyzomato('ca5cbda00917434b4886bcf7fcc01b97')
restDetails = p.getRestaurantDetails(value)
id = value
name=restDetails["name"]
url=restDetails["url"]
address=restDetails['location']['address']
cuisines=restDetails['cuisines']
average_cost_for_two=restDetails['average_cost_for_two']
thumbnail=restDetails['thumb']
rating=restDetails['user_rating']['aggregate_rating']
popular_opinion=restDetails['user_rating']['rating_text']
votes=restDetails['user_rating']['votes']
photos=restDetails['photos_url']
menu=restDetails['menu_url']
featured_image=restDetails['featured_image']
details = [dict() for x in range(12)]
details = {'id':id, 'name':name, 'name':name, 'address':address, 'average_cost_for_two':average_cost_for_two,'featured_image':featured_image,
'thumbnail':thumbnail, 'rating':rating, 'popular_opinion':popular_opinion, 'photos':photos, 'menu':menu,'cuisines': cuisines,'votes':votes}
request.session[0]=value
request.session[1]=details
all_enties = RestaurantReview.objects.all().filter(restaurantId=value)
reviewList = []
for p in all_enties:
reviewElement = [dict() for x in range(9)]
review = p.review
rating = p.rating
userName = p.user
reviewElement={'review':review,'rating':rating, 'userName':userName}
reviewList.append(reviewElement)
return render(request, 'restaurantview.html', {'restdetails':details, 'reviewsAndRatings':reviewList})
) + "/user?count=0&apikey=a54e351eb6f630cb9ed6f8efe31e0c1e"
req = urllib2.Request(url)
restt = urllib2.urlopen(req)
json_data = json.load(restt)
review_count = json_data['reviewsCount']
#get restaurant details using restaurant id
url_det = "https://api.zomato.com/v1/restaurant.json/" + str(
restaurant_id) + "?apikey=a54e351eb6f630cb9ed6f8efe31e0c1e"
requesting = urllib2.Request(url_det)
results_rest = urllib2.urlopen(requesting)
json_dat = json.load(results_rest)
link = json_dat['userReviews']['review_url']
name = json_dat['name']
address = json_dat['location']['address']
debt = p.getRestaurantDetails(restaurant_id)
#get image icon of restaurant id
image = debt['thumb']
user_rating = debt['user_rating']['aggregate_rating']
if review_count == 0:
pass
else:
revjjsjs = json_data['userReviews']
for i in revjjsjs:
m = i['review']
t = m['reviewText']
t = t.encode('unicode-escape')
txt = t
if (txt != None):
blob = TextBlob(txt)
def searchRestaurant(request):
p = Pyzomato('c5515b949415a90fe3c9dfebf2d1b246')
if request.GET.get('city', False) or request.GET.get('search', False):
city = request.GET["city"]
search_key = request.GET["search"]
city = p.getLocations("query=" + str(city))
res_id = []
data = {}
search_results = p.search(
entity_id=city['location_suggestions'][0]['entity_id'],
entity_type=city['location_suggestions'][0]['entity_type'],
q=search_key)
# print(search_results['restaurants'][0]['restaurant']['R']['res_id'],search_results['restaurants'][1]['restaurant']['R']['res_id'])
# search_results = p.search(entity_id=city['location_suggestions'][id]['entity_id'], entity_type=city['location_suggestions'][id]['entity_type'] ,q=search_key)
try:
for id in range(0, 10):
resta_id = search_results['restaurants'][id]['restaurant'][
'R']['res_id']
data[resta_id] = {}
data[resta_id]['name'] = search_results['restaurants'][id][
'restaurant']['name']
data[resta_id]['cusine'] = search_results['restaurants'][id][
'restaurant']['cuisines']
data[resta_id]['address'] = search_results['restaurants'][id][
'restaurant']['location']['address']
data[resta_id]['average_cost_for_two'] = search_results[
'restaurants'][id]['restaurant']['average_cost_for_two']
data[resta_id]['rating'] = search_results['restaurants'][id][
'restaurant']['user_rating']['aggregate_rating']
res_id.append(resta_id)
except:
status = 'failed'
else:
status = 'success'
if status == 'success':
return render(
request, 'Restaurant_Search/SearchResults.html', {
'res_id': res_id,
'data': data,
'city': request.GET["city"],
'search_key': search_key
})
if status == 'failed':
return render(
request, 'Restaurant_Search/SearchResults.html', {
'res_id': res_id,
'data': data,
'city': request.GET["city"],
'search_key': search_key,
'no_results': 'no_results'
})
elif request.GET.get('res_id', False):
res_id = request.GET["res_id"]
data = p.getRestaurantDetails(restaurant_id=res_id)
print(data['name'])
data
return JsonResponse(data)
import pprint
from pyzomato import Pyzomato
pp = pprint.PrettyPrinter(indent=2)
p = Pyzomato("aa2e170fced5e4de42b96789a76fbd7f")
p.search(q="las vegas")
categories = p.getCategories()
pp.pprint( categories )
dets = p.getCollectionsViaCityId(282)
pp.pprint( dets )
cus = p.getCuisines(282)
pp.pprint( cus )
estab = p.getEstablishments(282)
pp.pprint( estab )
#need resturant ID
menu = p.getDailyMenu(292)
pp.pprint( menu )
#need resturant ID
info = p.getRestaurantDetails(292)
pp.pprint( info )
#need resturant ID
reviews = p.getRestaurantReviews(291)
pp.pprint( reviews )
