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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)
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