def get_single_bus_data_ios(b, user):
if b.lat == 0 or b.lon == 0:
b = setBusLatLng(b)
d = dict()
d["businessID"] = b.id
d["businessName"] = b.name
d["businessCity"] = b.city
d["businessState"] = b.state
d["streetAddr"] = b.address
d["latitude"] = b.lat
d["longitude"] = b.lon
d["businessID"] = b.id
d["businessPhone"] = "555 555-5555"
d["distanceFromCurrentUser"] = str(b.get_distance(user))
d["ratingOverAllUsers"] = round(getBusAvg(b.id) * 2) / 2
d["photo"] = get_photo_url(b)
d["numberOfRatings"] = getNumRatings(b.id)
d["numberOfLoves"] = getNumLoved(b)
d["numberOfLikes"] = getNumLiked(b)
# the user exists and has rated something
if user and Rating.objects.filter(user=user, business=b).count() > 0:
try:
r = Rating.objects.get(user=user, business=b)
except Rating.MultipleObjectsReturned:
r = Rating.objects.filter(user=user, business=b)[0]
d["ratingForCurrentUser"] = r.rating
else:
d["ratingForCurrentUser"] = 0
bustags = BusinessTag.objects.filter(business=b) # .exclude(tag=get_master_summary_tag())
d["categories"] = []
for bt in bustags:
d["categories"].append(get_category_data(bt, user))
if d["ratingForCurrentUser"] == 0:
# b.recommendation = get_best_current_recommendation(b, user)
d["ratingRecommendation"] = getBusAvg(b.id)
return d
def score_weight(user,b):
if user and BusinessRating.objects.filter(user=user, business=b).count() > 0:
try:
score = BusinessRating.objects.get(user=user, business=b).BusinessRating
except BusinessRating.MultipleObjectsReturned:
score = BusinessRating.objects.filter(user=user,business=b)[0].BusinessRating
else:
#TODO GET RECOMMENDATION HERE!!!!!!
score = getBusAvg(b.id)
return float(score) / float(MAX_RATING)
