TEMPer2_python3_chart/chart.py at main · UltimateSolar/TEMPer2_python3_chart · GitHub

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""" version: chart.py v1.2 """
import matplotlib.pyplot as plt
from datetime import datetime
from matplotlib.dates import DateFormatter

import os
import re

debug = True

data_path = '/scripts/TEMPer2.data'
timestamps = []
internal_temps = []
external_temps = []

# Iterate over all files in the directory
for filename in os.listdir(data_path):
    file = os.path.join(data_path, filename)

    if os.path.isfile(file): # Check if the current item is a file (not a subdirectory)
        # open the data file
        file = open(file)
        # read the file as a list
        lines = file.readlines()
        # close the file
        file.close()

        length = len(lines)
        for counter in range(length):
            counter += 1
            if debug:
                if counter > 1000: break # currently only view first 100 lines for debugging

            try:
                line = lines[counter]
                next_line = lines[counter+1]
                next_next_line = lines[counter+2]

                line = re.sub('\s+','',line) # remove all whitespace
                next_line = re.sub('\s+','',next_line)
                next_next_line = re.sub('\s+','',next_next_line)

                if len(line) == 0: # ignore empty lines
                    continue

                if "===" in line and "internaltemperature" in next_line and "externaltemperature" in next_next_line: # a time line was found
                    element_array = line.split("===") # try to detect 2024-01-24===11:16:5 lines
                    date_string = re.sub('\s+','',element_array[0])
                    time_string = re.sub('\s+','',element_array[1])
                    timestamps.append(date_string+" "+time_string)

                    element_array = next_line.split(":") # try to detect 2024-01-24===11:16:5 lines
                    internaltemperature = re.sub('\s+','',element_array[1])
                    internaltemperature = internaltemperature.replace(",", "")
                    internal_temps.append(internaltemperature)

                    element_array = next_next_line.split(":") # try to detect 2024-01-24===11:16:5 lines
                    externaltemperature = re.sub('\s+','',element_array[1])
                    externaltemperature = externaltemperature.replace(",", "")
                    external_temps.append(externaltemperature)
            except IndexError:
                status = "IndexError: list index out of range"


# Sample data for both temperature measurements
# timestamps = ['2024-01-24 11:16:57', '2024-01-24 12:30:00', '2024-01-24 14:45:30', '2024-01-24 16:00:00']
# print(internal_temps+"\n")
internal_temps_len = len(internal_temps)
# print(external_temps+"\n")
external_temps_len = len(external_temps)
# print(timestamps+"\n")
timestamps_len = len(timestamps)

"""
# output data to file
file_path = "./output.txt"
with open(file_path, 'a') as file:
    # Iterate over the array and append each element to the file
    for element in internal_temps:
        file.write(element + '\n')
    for element in external_temps:
        file.write(element + '\n')
    for element in timestamps:
        file.write(element + '\n')
"""


# Convert timestamps to datetime objects
x_values = [datetime.strptime(ts, '%Y-%m-%d %H:%M:%S') for ts in timestamps]

# Plotting the External temperature chart
plt.plot(x_values, external_temps, marker='o', linestyle='-', color='orange', label='External')

# to display the 12°C value at every dot uncomment next 2 lines:
# for x, y in zip(x_values, external_temps):
#    plt.text(x, y, f'{y}', ha='center', va='bottom', fontsize=8)

# Plotting the Internal temperature chart
plt.plot(x_values, internal_temps, marker='o', linestyle='-', color='blue', label='Internal')

# to display the 12°C value at every dot uncomment next 2 lines:
#for x, y in zip(x_values, internal_temps):
#    plt.text(x, y, f'{y}', ha='center', va='bottom', fontsize=8)

# Adding labels and title
plt.xlabel('Time')
plt.ylabel('Temperature (°C)')
plt.title('TEMPer2 Chart')

# Formatting the x-axis to display the date and time
plt.xticks(rotation=45, ha='right', rotation_mode='anchor', fontsize=8)

# Formatting the x-axis to display the date and time in YYYY-MM-DD hh:mm format
date_formatter = DateFormatter('%Y-%m-%d %H:%M')
plt.gca().xaxis.set_major_formatter(date_formatter)
plt.gcf().autofmt_xdate()

# Adding legend
plt.legend()

# Display the plot
plt.show()