def cluster_route_match_score(segment,step1=100000,step2=100000,method='lcs',radius1=2000,threshold=0.5):
userRouteClusters=get_routeCluster_db().find_one({'$and':[{'user':segment['user_id']},{'method':method}]})['clusters']
route_seg = getRoute(segment['_id'])
dis=999999
medoid_ids=userRouteClusters.keys()
if len(medoid_ids)!=0:
choice=medoid_ids[0]
for idx in userRouteClusters.keys():
route_idx=getRoute(idx)
try:
dis_new=fullMatchDistance(route_seg,route_idx,step1,step2,method,radius1)
except RuntimeError:
dis_new=999999
if dis_new<dis:
dis=dis_new
choice=idx
# print(dis)
# print(userRouteClusters[choice])
if dis<=threshold:
cluster=userRouteClusters[choice]
cluster.append(choice)
ModePerc=get_mode_share_by_count(cluster)
else:
ModePerc=get_mode_share_by_count([])
return ModePerc
def user_route_data(user_id, database):
data_feature = {}
# for section in database.find({'$and':[{'user_id': user_id},{'type': 'move'},{'confirmed_mode': {'$ne': ''}}]}):
for section in database.find({'$and':[{'user_id': user_id},{'type': 'move'}]}):
data_feature[section['_id']] = getRoute(section['_id'])
#print(data_feature.keys())
return data_feature
def transit_stop_match_score(segment,radius1=300):
Transits=get_transit_db()
transitMatch={}
route_seg=getRoute(segment['_id'])
for type in Transits.distinct('type'):
for entry in Transits.find({'type':type}):
transitMatch[type]=matchTransitStops(route_seg,entry['stops'],radius1)
if transitMatch[entry['type']]==1:
break
return transitMatch
def transit_route_match_score(segment,step1=100000,step2=100000,method='lcs',radius1=2500,threshold=0.5):
Transits=get_transit_db()
transitMatch={}
route_seg=getRoute(segment['_id'])
for type in Transits.distinct('type'):
for entry in Transits.find({'type':type}):
transitMatch[type]=matchTransitRoutes(route_seg,entry['stops'],step1,step2,method,radius1,threshold)
if transitMatch[entry['type']]==1:
break
return transitMatch
def transit_stop_match_score(segment, radius1=300):
Transits = get_transit_db()
transitMatch = {}
route_seg = getRoute(segment["_id"])
for type in Transits.distinct("type"):
for entry in Transits.find({"type": type}):
transitMatch[type] = matchTransitStops(route_seg, entry["stops"], radius1)
if transitMatch[entry["type"]] == 1:
break
return transitMatch
def transit_route_match_score(segment, step1=100000, step2=100000, method="lcs", radius1=2500, threshold=0.5):
Transits = get_transit_db()
transitMatch = {}
route_seg = getRoute(segment["_id"])
for type in Transits.distinct("type"):
for entry in Transits.find({"type": type}):
transitMatch[type] = matchTransitRoutes(route_seg, entry["stops"], step1, step2, method, radius1, threshold)
if transitMatch[entry["type"]] == 1:
break
return transitMatch
def user_route_data2(section_ids):
data_feature = {}
# for section in database.find({'$and':[{'user_id': user_id},{'type': 'move'},{'confirmed_mode': {'$ne': ''}}]}):
for _id in section_ids:
try:
data_feature[_id] = eart.getRoute(_id)
except Exception as e:
pass
#print(data_feature.keys())
return data_feature
def user_route_data2(section_ids):
data_feature = {}
# for section in database.find({'$and':[{'user_id': user_id},{'type': 'move'},{'confirmed_mode': {'$ne': ''}}]}):
for _id in section_ids:
try:
data_feature[_id] = eart.getRoute(_id)
except Exception as e:
pass
#print(data_feature.keys())
return data_feature
def user_route_data(user_id, database):
data_feature = {}
# for section in database.find({'$and':[{'user_id': user_id},{'type': 'move'},{'confirmed_mode': {'$ne': ''}}]}):
for section in database.find(
{'$and': [{
'user_id': user_id
}, {
'type': 'move'
}]}):
data_feature[section['_id']] = getRoute(section['_id'])
#print(data_feature.keys())
return data_feature
