import csv class Test: def __init__(self, number: int, description: str): self.number: int = number self.description: str = description self.failed: bool = False self.logs: list[str, str, str] = [] # log_type, timestamp, message def add_log(self, log_type: str, timestamp: str, fail_message: str): if log_type == "FAIL": self.failed = True new_log = { "log_type": log_type, "timestamp": timestamp, "fail_message": fail_message } self.logs.append(new_log) class Category: def __init__(self, name: str): self.name: str = name self.failed: bool = False self.tests: list[Test] = [] def is_number_in_tests(self, number: int) -> bool: return self.tests and self.tests[-1].number == number def add_test(self, log_type: str, number: int, timestamp: str, description: str, fail_message: str): if log_type == "FAIL": self.failed = True if not self.is_number_in_tests(number): new_test = Test(number, description) self.tests.append(new_test) self.tests[-1].add_log(log_type, timestamp, fail_message) def find_category_in_data(name: str, data: list[Category]) -> int: for index, category in enumerate(data): if category.name == name: return index return -1 data = [] # List of Category objects # Define the CSV filename csv_filename = "data.csv" with open(csv_filename, mode="r", encoding="utf-8") as file: csv_reader = csv.DictReader(file) # Reads as a dictionary for row in csv_reader: log_type, timestamp, category_name, number, test_description, fail_message = row.values() index = find_category_in_data(category_name, data) if index == -1: category = Category(category_name) data.append(category) else: category = data[index] category.add_test(log_type, number, timestamp, test_description, fail_message)