This is a custom Faker provider for Python that generates clickstream session data. Data generated from this provider
represent user clickstream sessions on an online e-commerce site that sells mobile phones.
The Clickstream Faker Provider for Python is available to install from PyPi using pip.
pip install faker_clickstreamSample code of Clickstream Provider usage.
from faker import Faker
from faker_clickstream import ClickstreamProvider
fake = Faker()
fake.add_provider(ClickstreamProvider)
fake.session_clickstream()
# or...
fake.session_clickstream(rand_session_max_size=50) # random number of events from 1 to 50The session_clickstream() method returns an array of JSON objects that represents a unique web session. By default, is
configured to return a random number of session events from the range of 1 through 25.
An example response object is the below:
[
{
"ip": "85.59.39.221",
"user_id": 777198,
"user_agent": "Mozilla/5.0 (iPad; CPU OS 7_1_2 like Mac OS X) AppleWebKit/537.51.2 (KHTML, like Gecko) CriOS/45.0.2454.68 Mobile/11D257 Safari/9537.53",
"session_id": "d5cba274f7724780d1ed2b60650101892260748df21b0e2fb8b2b2fd88cedf23",
"event_time": "28/03/2022 23:09:48.360212",
"event_name": "AddToCart",
"channel": "Social media",
"metadata": {
"product_id": 162012,
"quantity": 1
}
},
{
"ip": "85.59.39.221",
"user_id": 777198,
"user_agent": "Mozilla/5.0 (iPad; CPU OS 7_1_2 like Mac OS X) AppleWebKit/537.51.2 (KHTML, like Gecko) CriOS/45.0.2454.68 Mobile/11D257 Safari/9537.53",
"session_id": "d5cba274f7724780d1ed2b60650101892260748df21b0e2fb8b2b2fd88cedf23",
"event_time": "28/03/2022 23:14:13.360227",
"event_name": "AddToCart",
"channel": "Social media",
"metadata": {
"product_id": 464710,
"quantity": 2
}
},
{
"ip": "85.59.39.221",
"user_id": 777198,
"user_agent": "Mozilla/5.0 (iPad; CPU OS 7_1_2 like Mac OS X) AppleWebKit/537.51.2 (KHTML, like Gecko) CriOS/45.0.2454.68 Mobile/11D257 Safari/9537.53",
"session_id": "d5cba274f7724780d1ed2b60650101892260748df21b0e2fb8b2b2fd88cedf23",
"event_time": "28/03/2022 23:17:49.360241",
"event_name": "Checkout",
"channel": "Social media",
"metadata": {}
},
{
"ip": "85.59.39.221",
"user_id": 777198,
"user_agent": "Mozilla/5.0 (iPad; CPU OS 7_1_2 like Mac OS X) AppleWebKit/537.51.2 (KHTML, like Gecko) CriOS/45.0.2454.68 Mobile/11D257 Safari/9537.53",
"session_id": "d5cba274f7724780d1ed2b60650101892260748df21b0e2fb8b2b2fd88cedf23",
"event_time": "28/03/2022 23:22:15.360252",
"event_name": "Search",
"channel": "Social media",
"metadata": {
"query": "Samsung"
}
}
]Each user session includes some static data that are randomly calculated only once, such as the ip, user_agent, etc.
The events that are available on this clickstream are the following ones, and an event dependency has been configured to provide a more real representation of a web session flow:
SearchAddToCartDeleteFromCart(depends onAddToCartevent)IncreaseQuantityDecreaseQuantity(depends onIncreaseQuantityevent)AddPromoCode(depends onCheckoutevent)Checkout(depends onAddToCartevent)LoginLogout(depends onLoginevent)CheckoutAsGuestCompleteOrder(depends on any ofCheckoutorCheckoutAsGuestevents)CheckOrderStatus(depends onLoginevent)
Moreover, the Search, AddToCart, IncreaseQuantity DeleteFromCart & CheckOrderStatus include a metadata field
with additional information about the products and the user queries.
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