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': {'$ne': ''}}]}):
data_feature[section['_id']] = getRoute(section['_id'])
return data_feature
def user_route_data(user_id, database):
data_feature = {}
# for section in database.find({'$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
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] = getRoute(_id)
except Exception as e:
pass
#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 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] = getRoute(_id)
except Exception as e:
pass
#print(data_feature.keys())
return data_feature
def cluster_route_match_score(segment,
step1=100000,
step2=100000,
method='lcs',
radius1=2000,
threshold=0.5):
userRouteClusters = get_routeCluster_db().find_one(
{'$and': [{
'user': segment['user_id']
}, {
'method': method
}]})['clusters']
route_seg = getRoute(segment['_id'])
dis = 999999
medoid_ids = userRouteClusters.keys()
if len(medoid_ids) != 0:
choice = medoid_ids[0]
for idx in userRouteClusters.keys():
route_idx = getRoute(idx)
try:
dis_new = fullMatchDistance(route_seg, route_idx, step1, step2,
method, radius1)
except RuntimeError:
dis_new = 999999
if dis_new < dis:
dis = dis_new
choice = idx
# print(dis)
# print(userRouteClusters[choice])
if dis <= threshold:
cluster = userRouteClusters[choice]
cluster.append(choice)
ModePerc = get_mode_share_by_count(cluster)
else:
ModePerc = get_mode_share_by_count([])
return ModePerc
def transit_route_match_score(segment,
step1=100000,
step2=100000,
method='lcs',
radius1=2500,
threshold=0.5):
Transits = get_transit_db()
transitMatch = {}
route_seg = getRoute(segment['_id'])
for type in Transits.distinct('type'):
for entry in Transits.find({'type': type}):
transitMatch[type] = matchTransitRoutes(route_seg, entry['stops'],
step1, step2, method,
radius1, threshold)
if transitMatch[entry['type']] == 1:
break
return transitMatch
def get_ground_truth_sections(username, section_collection):
"""
Returns all of the routes associated with a username's ground truthed sections
"""
ground_cluster_collection = get_groundClusters_db()
clusters = ground_cluster_collection.find_one({"clusters":{"$exists":True}})["clusters"]
ground_truth_sections = []
get_username = lambda x: x[0].split("_")[0]
clusters = filter(lambda x: username == get_username(x), clusters.items())
for key, section_ids in clusters:
ground_truth_sections.extend(section_ids)
ground_truth_section_data = {}
for section_id in ground_truth_sections:
section_data = section_collection.find_one({'_id' : section_id})
if section_data is not None:
ground_truth_section_data[section_data['_id']] = getRoute(section_data['_id'])
else:
print("%s not found" % section_id)
return ground_truth_section_data
def get_ground_truth_sections(username, section_collection):
"""
Returns all of the routes associated with a username's ground truthed sections
"""
ground_cluster_collection = get_groundClusters_db()
clusters = ground_cluster_collection.find_one(
{"clusters": {
"$exists": True
}})["clusters"]
ground_truth_sections = []
get_username = lambda x: x[0].split("_")[0]
clusters = filter(lambda x: username == get_username(x), clusters.items())
for key, section_ids in clusters:
ground_truth_sections.extend(section_ids)
ground_truth_section_data = {}
for section_id in ground_truth_sections:
section_data = section_collection.find_one({'_id': section_id})
if section_data is not None:
ground_truth_section_data[section_data['_id']] = getRoute(
section_data['_id'])
else:
print("%s not found" % section_id)
return ground_truth_section_data
