logPlot

#!/usr/bin/env python3
import pandas as pd
import csv # being lazy
#import matplotlib
#matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from PyQt5 import QtCore, QtWidgets, QtGui
OGVALUES = "Time,Cycle_Status,I0000,I0001,I0002,I0003,I0004,I0005,I0006,I0007,Pump,Blower,LLSV,Compressor,Condenser_Heat,Evap_Heat,HGBV,Alarm_Relay,Tank_Probe_Fahr_W,Cond_LWT_Fahr_W,Cond_EWT_Fahr_W,SLT_Fahr_W,AMB_Fahr_W,Evap1_Fahr_W,Evap2_Fahr_W,HOT_Sensor_Fahr_W,Cond_GPM_F,HP_Raw_W,LP_Raw_W,Alarm_Register_1,Alarm_Register_2,Alarm_Register_3,SH_F,Pump_Down,Heat_Call,Demand_Mode,Tank_Demand_Cut_In,Heat_Call_Cut_Out,MP_HC_Cut_In,MP_HC_Cut_Out,BMS_Heat_Call,MasterHeatCallRgstr,Master_Comm_Status,Member_Unit_Status,Unit_number,Cond_Flow_Verif,Flow_Valve_Verif,PID_Start,Valve_Pos_Set_F,Pump_OFF_Delay,HGBV_Max,Post_HGBV_Fan,Defrost,Defrost_Enable,Defrost_Max,defrost_max_timer,Defrost_Fan_Call,Post_Def_Fan_Call,Manual_LLSV,Manual_HGBV,Manual_Evap_Heat,Manual_COND_Heat,LP_SIM,HP_SIM,Manual_Valve"
OGVALUES_list = OGVALUES.split(',')
'''
sudo apt remove python3-matplotlib  # FIXED Axes3d warnings
including pyqt5 lib disapated wayland warnings which is fine as I want to add a highlighter anyway.

Todo: add a highlighter to show current position in log playback

'''

# Verify we are laoding a PLC log file.
def check_Log(csv_file):
    with open(csv_file, 'r') as infile:
        reader = csv.reader(infile)
        actual_header = next(reader)  # Read the first row as header
        # Check if the actual header matches the expected header
        if actual_header != OGVALUES_list:
            print("Header Mismatch", "The selected file does not have the correct header format.")
            # return # uncomment to debug log file input
            sys.exit(1)
        else:
            print("Header looks like a valid PLC log file")

def plot_analog_values(csv_file):

    # Check header
    check_Log(csv_file)
    # Read the CSV file
    df = pd.read_csv(csv_file)

    # Get list of analog values to plot
    analog_cols = "Tank_Probe_Fahr_W,Cond_LWT_Fahr_W,Cond_EWT_Fahr_W,SLT_Fahr_W,AMB_Fahr_W,Evap1_Fahr_W,Evap2_Fahr_W,HOT_Sensor_Fahr_W,Cond_GPM_F,HP_Raw_W,LP_Raw_W,SH_F,MasterHeatCallRgstr,Valve_Pos_Set_F".split(',')

    # Create a figure with a reasonable size
    plt.figure(figsize=(15, 10))

    # Create a plot for each analog value
    for col in analog_cols:
        if col in df.columns:
            plt.plot(df.index, df[col], label=col, linewidth=1)

    # Customize the plot
    plt.title(f'Analog Values over Time {sys.argv[1]}', fontsize=14)
    plt.xlabel('Time (samples)', fontsize=12)
    plt.ylabel('Value', fontsize=12)
    plt.grid(True, linestyle='--', alpha=0.7)

    # Add legend with a reasonable layout
    plt.legend(bbox_to_anchor=(1.05, 1), loc='upper left', borderaxespad=0.)

    # Adjust layout to prevent legend cutoff
    plt.tight_layout()

    # Show the plot
    plt.show()

if __name__ == "__main__":
    import sys

    if len(sys.argv) != 2:
        print("Usage: python script.py <path_to_csv_file>")
        sys.exit(1)

    csv_file = sys.argv[1]
    plot_analog_values(csv_file)