timer.sleep(5) # repeat loop every n seconds
# contact server and normalize response data
server_response = check_server(ADDRESS, date)
server_response = Analysis.normalize(server_response)
if not server_response.empty: # if we get a response
# if we either have no data collected or already have the same set don't repeat analysis
if data.empty or not server_response.equals(data):
# add response to local database
if data.empty:
data = server_response
else:
data = pandas.concat([data, server_response], ignore_index=True)
# normalize data
data = Analysis.normalize(data)
analysis = Analysis.analyze(data, 'Temp', lambda x: x > 100) # send data to be analyzed
new_alerts = Analysis.convert_to_str(analysis)
# print easy to read time frames that met the condition if they have not been displayed before
Analysis.print_analysis(alerts, new_alerts)
alerts += new_alerts # adds new alerts to old alerts
store(data, date)
data = load_data()
date = increment_time(date) # increments time/date for automatic checking
