def __post_init__()

in datasets/thelook_ecommerce/pipelines/_images/run_thelook_kub/fake.py [0:0]

• 45 lines of code
• 2 McCabe index (conditional complexity)

    def __post_init__(self):
        address = get_address()
        self.sequence_number = 0
        self.user_id = None
        self.created_at = created_at(datetime.datetime(2019, 1, 1))
        self.session_id = str(uuid.uuid4())
        self.ip_address = fake.ipv4()
        self.city = address["city"]
        self.state = address["state"]
        self.postal_code = address["postal_code"]
        self.browser = self.random_item(
            population=["IE", "Chrome", "Safari", "Firefox", "Other"],
            distribution=[0.05, 0.5, 0.2, 0.2, 0.05],
        )
        self.traffic_source = self.random_item(
            population=["Email", "Adwords", "Organic", "YouTube", "Facebook"],
            distribution=[0.45, 0.3, 0.05, 0.1, 0.1],
        )

        products = PRODUCT_GENDER_DICT[
            self.random_item(population=["M", "F"], distribution=[0.5, 0.5])
        ]
        product = self.random_item(products)

        # different event type combinations
        cancelled_browsing = ["product", "cart", "cancel"]
        abandoned_cart = ["department", "product", "cart"]
        viewed_product = ["product"]
        viewed_department = ["department", "product"]

        random_events = self.random_item(
            population=[
                cancelled_browsing,
                abandoned_cart,
                viewed_product,
                viewed_department,
            ]
        )

        for event in random_events:
            # set ghost events ID to max of original
            event_id = len(events)
            self.id = event_id + 1
            event_id = self.id

            self.event_type = event
            self.uri = generate_uri(event, product)
            self.sequence_number += 1
            self.created_at = self.created_at + datetime.timedelta(
                minutes=random.randrange(int(MINUTES_IN_HOUR * 0.5))
            )
            events.append(dataclasses.asdict(self))