def run():
output = open(sys.argv[1], 'w')
writer = DictWriter(output, fieldnames=['uid', 'data'])
writer.writeheader()
db = DB(dbconfig)
for uid in fetch_users(db):
data = fetch_user_location_logs(uid, db)
locations = merge_locations(data)
matrix = generate_matrix(locations)
semantic_data = fetch_semantic_data(list(matrix.keys()))
semantic_dict = {}
for row in semantic_data:
semantic_dict[row['location']] = clean_tags(row['tags'], 5)
tag_matrix = {}
for location, proba in list(matrix.items()):
tag_dict = semantic_dict[location]
tag_weight = sum(v for v in list(tag_dict.values()))
if tag_weight == 0:
continue
for tag, cnt in list(tag_dict.items()):
tag_matrix.setdefault(tag, [0] * 48)
for i in range(48):
tag_matrix[tag][i] += (proba[i] * cnt + 0.001) / (tag_weight + 0.001)
writer.writerow({
'uid': uid,
'data': json.dumps(tag_matrix)
})
output.close()
def run():
output = open(sys.argv[1], 'w')
writer = DictWriter(output, fieldnames=['uid', 'data'])
writer.writeheader()
db = DB(dbconfig)
for uid in fetch_users(db):
data = fetch_user_location_logs(uid, db)
locations = merge_locations(data)
matrix = generate_matrix(locations)
semantic_data = fetch_semantic_data(list(matrix.keys()))
semantic_dict = {}
for row in semantic_data:
semantic_dict[row['location']] = clean_tags(row['tags'], 5)
tag_matrix = {}
for location, proba in list(matrix.items()):
tag_dict = semantic_dict[location]
tag_weight = sum(v for v in list(tag_dict.values()))
if tag_weight == 0:
continue
for tag, cnt in list(tag_dict.items()):
tag_matrix.setdefault(tag, [0] * 48)
for i in range(48):
tag_matrix[tag][i] += (proba[i] * cnt +
0.001) / (tag_weight + 0.001)
writer.writerow({'uid': uid, 'data': json.dumps(tag_matrix)})
output.close()
def run(outputfile):
cols = ['uid', 'data']
f = open(outputfile, 'w')
writer = DictWriter(f, cols)
writer.writeheader()
db = DB(dbconfig)
for uid in fetch_users(db):
logs = fetch_uid_app_data(uid, db)
writer.writerow({'uid': uid, 'data': json.dumps(active_matrix(logs))})
def run():
output = open(sys.argv[1], 'w')
writer = DictWriter(output, fieldnames=['uid', 'data'])
writer.writeheader()
db = DB(dbconfig)
for uid in fetch_users(db):
locations = area_by_uid_stop(uid, db, get_business_logs)
writer.writerow({'uid': uid, 'data': json.dumps(locations)})
output.close()
def run():
output = open(sys.argv[1], 'w')
writer = DictWriter(output, fieldnames=['uid', 'data'])
writer.writeheader()
db = DB(dbconfig)
for uid in fetch_users(db):
data = fetch_user_location_logs(uid, db)
locations = merge_locations(data)
writer.writerow({'uid': uid, 'data': json.dumps(locations)})
output.close()
def run():
output = open(sys.argv[1], "w")
writer = DictWriter(output, fieldnames=["uid", "data"])
writer.writeheader()
db = DB(dbconfig)
for uid in fetch_users(db):
logs = fetch_user_location_logs(uid, db)
locations = merge_locations(logs)
matrix = generate_matrix(locations)
writer.writerow({"uid": uid, "data": json.dumps(matrix)})
output.close()
def run(outputfile):
cols = ['uid', 'data']
f = open(outputfile, 'w')
writer = DictWriter(f, cols)
writer.writeheader()
db = DB(dbconfig)
for uid in fetch_users(db):
logs = fetch_uid_app_data(uid, db)
writer.writerow({
'uid': uid,
'data': json.dumps(active_matrix(logs))
})
def run():
output = open(sys.argv[1], 'w')
writer = DictWriter(output, fieldnames=['uid', 'data'])
writer.writeheader()
db = DB(dbconfig)
for uid in fetch_users(db):
locations = area_by_uid_stop(uid, db, get_business_logs)
writer.writerow({
'uid': uid,
'data': json.dumps(locations)
})
output.close()
def run():
output = open(sys.argv[1], 'w')
db = DB(dbconfig)
for uid in fetch_users(db):
data = fetch_user_location_logs(uid, db)
for day in range(1, 32):
day = '201312%02d' % day
rows_by_day = [x for x in data if x['day'] == day]
if not rows_by_day:
continue
rows_by_day = [[x['start_time'], x['location']] for x in rows_by_day]
speeds = [x['speed'] for x in get_speed_by_day(rows_by_day, day)]
output.write(','.join(map(str, [uid, day] + speeds)) + '\n')
output.close()
def run(outputfile):
cols = ['uid', 'data']
f = open(outputfile, 'w')
writer = DictWriter(f, cols)
writer.writeheader()
db = DB(dbconfig)
for uid in fetch_users(db):
logs = fetch_user_location_logs(uid, db)
results = merge_locations(logs)
get_delta(results)
moves = get_moves(results)
stops = get_stop(results)
user_status = generate_status_matrix(moves, stops)
writer.writerow({'uid': uid, 'data': json.dumps(user_status)})
def run():
output = open(sys.argv[1], 'w')
db = DB(dbconfig)
for uid in fetch_users(db):
data = fetch_user_location_logs(uid, db)
for day in range(1, 32):
day = '201312%02d' % day
rows_by_day = [x for x in data if x['day'] == day]
if not rows_by_day:
continue
rows_by_day = [[x['start_time'], x['location']]
for x in rows_by_day]
speeds = [x['speed'] for x in get_speed_by_day(rows_by_day, day)]
output.write(','.join(map(str, [uid, day] + speeds)) + '\n')
output.close()
def run(outputfile):
cols = ['uid', 'data']
f = open(outputfile, 'w')
writer = DictWriter(f, cols)
writer.writeheader()
db = DB(dbconfig)
for uid in fetch_users(db):
logs = fetch_user_location_logs(uid, db)
results = merge_locations(logs)
get_delta(results)
moves = get_moves(results)
stops = get_stop(results)
user_status = generate_status_matrix(moves, stops)
writer.writerow({
'uid': uid,
'data': json.dumps(user_status)
})