102 lines
3.4 KiB
Python
102 lines
3.4 KiB
Python
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import re
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import matplotlib.pyplot as plt
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from datetime import datetime, timedelta
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def parse_sensor_log(filename):
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timestamps = []
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temperatures = []
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humidities = []
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eco2_concentrations = []
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tvoc_concentrations = []
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# Extract start time from the filename
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# start_time_str = re.search(r'(\d{6})', filename).group(1)
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start_time_str = re.search(r'-(\d{6})\.', filename).group(1)
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print(start_time_str)
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start_time = datetime.strptime(start_time_str, '%H%M%S')
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with open(filename, 'r') as file:
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lines = file.readlines()
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for line in lines:
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if "Waiting" in line:
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# Increment the current time by one minute
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start_time += timedelta(minutes=1)
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continue
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match = re.match(r'^temperature: (.+) C$', line)
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if match:
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temperatures.append(float(match.group(1)))
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timestamps.append(start_time)
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continue
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match = re.match(r'^humidity: (.+) %$', line)
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if match:
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humidities.append(float(match.group(1)))
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continue
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match = re.match(r'^eCO2 concentration: (.+) ppm$', line)
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if match:
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eco2_concentrations.append(float(match.group(1)))
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continue
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match = re.match(r'^TVOC concentration: (.+) ppb$', line)
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if match:
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tvoc_concentrations.append(float(match.group(1)))
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continue
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return timestamps, temperatures, humidities, eco2_concentrations, tvoc_concentrations
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# Multiline
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def plot_sensor_data(timestamps, temperatures, humidities, eco2_concentrations, tvoc_concentrations):
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plt.figure(figsize=(12, 8))
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plt.subplot(2, 2, 1)
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plt.plot(timestamps, temperatures, 'r.-')
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plt.xlabel('Time')
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plt.ylabel('Temperature (C)')
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plt.title('Temperature over Time')
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plt.subplot(2, 2, 2)
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plt.plot(timestamps, humidities, 'g.-')
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plt.xlabel('Time')
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plt.ylabel('Humidity (%)')
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plt.title('Humidity over Time')
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plt.subplot(2, 2, 3)
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plt.plot(timestamps, eco2_concentrations, 'b.-')
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plt.xlabel('Time')
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plt.ylabel('eCO2 Concentration (ppm)')
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plt.title('eCO2 Concentration over Time')
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plt.subplot(2, 2, 4)
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plt.plot(timestamps, tvoc_concentrations, 'm.-')
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plt.xlabel('Time')
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plt.ylabel('TVOC Concentration (ppb)')
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plt.title('TVOC Concentration over Time')
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plt.tight_layout()
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plt.show()
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# def plot_sensor_data(timestamps, temperatures, humidities, eco2_concentrations, tvoc_concentrations):
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# plt.figure(figsize=(12, 8))
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# plt.plot(timestamps, temperatures, 'r.-', label='Temperature (C)')
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# plt.plot(timestamps, humidities, 'g.-', label='Humidity (%)')
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# plt.plot(timestamps, eco2_concentrations, 'b.-', label='eCO2 Concentration (ppm)')
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# plt.plot(timestamps, tvoc_concentrations, 'm.-', label='TVOC Concentration (ppb)')
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# plt.xlabel('Time')
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# plt.ylabel('Sensor Readings')
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# plt.title('Sensor Readings over Time')
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# plt.legend()
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# plt.grid(True)
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# plt.tight_layout()
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# plt.show()
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if __name__ == "__main__":
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filename = './logs/device-monitor-240403-030529.log'
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timestamps, temperatures, humidities, eco2_concentrations, tvoc_concentrations = parse_sensor_log(filename)
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plot_sensor_data(timestamps, temperatures, humidities, eco2_concentrations, tvoc_concentrations)
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