def get_achievement_photo(achievement_id):
try:
from Tools import rescale
from Models import Achievement
import cloudstorage as gcs
from search import nearby_search
if achievement_id == 'nearby':
print 'nearby'
lon = request.query['lon']
lat = request.query['lat']
place_documents = nearby_search(lon, lat, 500000)
print place_documents
if place_documents is None:
return json.dumps({'status_code': 204})
achievement_id = place_documents[0]['achievement_id']
print achievement_id
achievement = Achievement.get_by_id(int(achievement_id))
pictures = list(achievement.pictures)
picture_id = pictures[0]
size = [int(request.query['x']), int(request.query['y'])]
gcs_filename = '/thebucket/picture/' + picture_id + '/photo'
gcs_file = gcs.open(gcs_filename)
data = gcs_file.read()
return rescale.rescale(data, *size)
except BaseException, ex:
logging.exception("Exception: %s" % ex)
print(str(ex))
return json.dumps({"status_code": 400})
def update():
try:
from Models import Achievement, UserDetails
from UserManagement import add_achievement
user_id = request.json['user_id']
print user_id
user_details = UserDetails.get_by_id(int(user_id))
if user_details is None:
return json.dumps(dict(status_code=204, error_message="user_id not found"))
lon = request.json["lon"]
lat = request.json["lat"]
from search import nearby_search
nearby_places = nearby_search(lon, lat, 4500)
achievement_ids = []
for result in nearby_places:
if int(result['radius']) >= int(result['distance']):
achievement_id = result['achievement_id']
added_id = add_achievement(int(achievement_id), int(user_id))
if added_id is not None:
achievement_ids.append(int(added_id))
if not achievement_ids:
return json.dumps(dict(status_code=204))
else:
return json.dumps(dict(status_code=200, achievements=achievement_ids))
except BaseException, ex:
logging.exception("Uh Oh - %s" % ex)
return json.dumps({"status_code": 400, "Exception": str(ex)})
def maps_nearby():
from Models import UserDetails
from google.appengine.api import search
lon = request.query['lon']
lat = request.query['lat']
index = search.Index(name="places_index")
from search import nearby_search
nearby_places = nearby_search(lon, lat, 500000)
places_of_interest = []
for scored_document in nearby_places:
place = {}
_id = scored_document['achievement_id']
location = scored_document['location']
place['id'] = _id
location = dict(lon=location.longitude, lat=location.latitude)
place['location'] = location
places_of_interest.append(place)
print place
return json.dumps(dict(places_of_interest=places_of_interest))
