log_analysis.py

#!/usr/bin/python3
#

from dataclasses import dataclass
import csv

""" Class contains basic parameters 
dataclass
class phy_values:
    voltage = float
    temprature = int
    power = float
"""

def truncate_after_keyword(text, keyword):
    # Find the starting index of the keyword
    try:
        index = text.find(keyword)
        if index != -1:
            # Slice the string from the keyword's starting index to the end
            truncated_text = text[index:]
            return truncated_text
        else:
            # Return original text or handle case where keyword isn't found
            return text
    except ValueError:
        # Handle potential errors (though find() returns -1 on failure)
        return text

def filter_string(target_string, keywords_to_keep):
    # Check if ANY of the keywords are in the target string
    if any(keyword in target_string for keyword in keywords_to_keep):
        return target_string
    else:
        # Exclude (or handle as needed) the string if no keywords match
        return None

try:
    data_list = []
    with open ("phydata.log", "r") as fin:
        for line in fin:
            non_empty_lines = filter(str.strip, fin)
            #with open("physical_data.csv", "w+") as fin:
            title_string = "Voltage, Temp, Power\n"
                #fin.write(title_string)
            for line in non_empty_lines:
                store_data = {}
                keywords = ["Voltage", "Power"]
                #print(line.strip())
                real_line = filter_string(line.strip(), keywords)
                #print(real_line)
                physical_data = truncate_after_keyword(real_line, "Voltage").split()
                #print(physical_data)
                for i in physical_data:
                    value = (i.split("="))
                    #print(value)
                        #fin.write(value[1])
                        #fin.write(", ")
                    value_dict = dict((value,))
                    store_data.update(value_dict)
                    #print(store_data)
                #print(store_data)
                data_list.append(store_data)
                    #fin.write("\n")
                #fin.close()
            print(data_list)
            with open("new-phydata.csv", "w+") as finput:
                # Define the field names (column headers). The order of fieldnames determines the column order in the CSV
                data_field=["Voltage", "Temp", "Power"]
                dict_write = csv.DictWriter(finput, fieldnames=data_field)
                ## Wreite fields rows
                dict_write.writeheader()
                ## Wreite data rows
                dict_write.writerows(data_list)
                print("Finish writing data into the csv file")
            finput.close()
except Exception as e:
    print("Something goes wrong => ", e)