def process_post_ad():
data = request.form
print(data)
map_services = map.MapServices()
map_services.set_coordinates(float(data['lat']), float(data['lng']))
db.insert_from_dict_and_kw('properties',
generate_property_dict(data),
username=session['username'])
pid = db.query('properties', cols=['max(pid)'])[0]['max']
print(pid)
map_services.generate_top_two_closest_places()
map_services.generate_distances()
img_processor = greencover.Image_Processor(map_services.lat,
map_services.long)
img_processor.store_images_for_pid(pid)
tags = data['tags'].split(',')
for tag in tags:
db.insert('tags', pid=pid, tag=tag)
db.insert_from_dict_and_kw('property_analytics',
generate_property_analytics_dict(
map_services.places,
map_services.distances),
pid=pid,
green_cover=img_processor.green_percent)
return redirect(url_for('listings'))
def test_traffic(self, origin, destination, distance, time):
map_services = map.MapServices()
l = []
result = map_services.get_distance_metrics(
{
'lat': origin['latitude'],
'lng': origin['longitude']
}, destination)
if (distance and not (time)):
if (result[2] / 1000 <= distance):
return True
else:
return False
elif (not (distance) and time):
if (result[3] / 60 <= time):
return True
else:
return False
elif (distance and time):
if (result[2] / 1000 <= distance and result[3] / 60 <= time):
return True
else:
return False
else:
return False
def traffic_filter(self,property_item,place,distance=None,time=None):
map_services = map.MapServices()
property_coordinates = {'lat':property_item['latitude'],'lng':property_item['longitude']}
result = map_services.get_distance_metrics(property_coordinates,place)
if(distance and not(time)):
if(result[2]/1000 <= distance):
return True
else:
return False
elif(not(distance) and time):
if(result[3]/60 <= time):
return True
else:
return False
elif(distance and time):
if(result[2]/1000<=distance and result[3]/60<=time):
return True
else:
return False
else:
return False
def get_traffic_details():
data = request.form
m = map.MapServices()
traffic_details = m.get_distance_metrics(data['origin'],data['destination'])
return ' '.join([traffic_details[0],traffic_details[1]])
def advanced_filter():
db.cursor.execute("select tag,count(tag) from tags group by tag")
tags = db.cursor.fetchall()[:10]
return render_template('advanced_filter.html',tags=tags,place_types=map.MapServices().place_types)
