def user_status(uid): logs = fetch_uid_location_data(uid) results = merge_locations(logs) get_delta(results) moves = get_moves(results) stops = get_stop(results) return make_response(dumps(get_status(moves, stops)))
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 area_by_uid_stop(uid, area_func=fetch_uid_business_data): results = area_func(uid) invalids = check_error_points(raw_merge_locations_by_date(results)) results = [x for x in results if (x['location'], x['start_time']) not in invalids] locations = merge_locations(results) get_delta(locations) locations = get_stop(locations, 30) return locations
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_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(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 _location_by_uid_stop(uid): results = fetch_uid_location_data(uid) locations = merge_locations(results) get_delta(locations) locations = get_stop(locations, 30) return locations
def location_by_uid(uid): results = fetch_uid_location_data(uid) return make_response(dumps(merge_locations(results)))