def search_similar_restaurants(self, restaurant, lat_lon=None, bearing=None):
# rest not closed, matching cats, limit 15
if not lat_lon:
lat_lon = '37.7872247,-122.39926'
lat, lon = lat_lon.split(',')
if not bearing:
results = yelp_request(
'search',
{
'term': 'restaurant',
'limit': 15,
'category_filter': restaurant.get_categories().lower(),
'sort': 1,
'll': lat_lon,
},
self.consumer_key,
self.consumer_secret,
self.token,
self.token_secret
)
else:
lat1, lon1, lat2, lon2 = get_yelp_coordinates(lat, lon, bearing, 2)
# lat2, lon2 = pointRadialDistance(lat, lon, bearing, 5.8)
print "L1: %s" % lat_lon
print "L2: %s,%s" % (lat2, lon2)
results = yelp_request(
'search',
{
'term': 'restaurant',
'limit': 15,
'category_filter': restaurant.get_categories().lower(),
'sort': 1,
'bounds': "%s,%s|%s,%s" % (lat1, lon1, lat2 ,lon2)
},
self.consumer_key,
self.consumer_secret,
self.token,
self.token_secret
)
# Put them on a list except the closed ones
restaurants = []
if not results.get('businesses'):
return []
for result in results.get('businesses', None):
if not result.get('is_closed') and \
result.get('id') != restaurant.yelp_id:
r = Restaurant()
r.load_data(result)
restaurants.append(r)
# Sort by rating
restaurants = sorted(restaurants, key=lambda r: r.rating, reverse=True)
# Keep top 3
restaurants = restaurants[1:4]
return restaurants
def get_restaurant(self, restaurant_id):
result = yelp_request(
'business',
{'id': restaurant_id},
self.consumer_key,
self.consumer_secret,
self.token,
self.token_secret
)
restaurant = Restaurant()
restaurant.load_data(result)
return restaurant
def search_restaurant(self, string):
results = yelp_request(
'search',
{
'term': string,
'location': 'San Francisco',
'category_filter': 'restaurants',
'limit': 5
},
self.consumer_key,
self.consumer_secret,
self.token,
self.token_secret
)
restaurants = []
for result in results.get('businesses', None):
r = Restaurant()
r.load_data(result)
restaurants.append(r)
return restaurants
