Send Notifications (Python)
Description
send_notifications() is used to send display or click notifications to Adobe Target for measurement and reporting.
NOTEexecute object with required params is within the request itself, the impression will be incremented automatically for qualifying activities.SDK methods that will increment an impression automatically are:
get_offers()get_attributes()
When a prefetch object is passed within the request, the impression is not automatically incremented for the activities with mboxes within the prefetch object. Send_notifications() must be used for prefetched experiences for incrementing impressions and conversions.
Method
send_notifications
target_client.send_notifications(options)
Parameters
options has the following structure:
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
| request | DeliveryRequest | Yes | None | Conforms to the Target Delivery API request |
| target_cookie | str | no | None | Target cookie |
| target_location_hint | str | no | None | Target location hint |
| consumer_id | str | no | None | When stitching multiple calls, different consumer IDs should be provided |
| customer_ids | list[CustomerId] | no | None | A list of Customer Ids in VisitorId-compatible format |
| session_id | str | no | None | Used for linking multiple requests |
| callback | callable | no | None | If handling request asynchronously, the callback is invoked when response is ready |
| err_callback | callable | no | None | If handling request asynchronously, error callback is invoked when exception is raised |
Returns
Returns a TargetDeliveryResponse if called synchronously (default), or an AsyncResult if called with a callback. TargetDeliveryResponse has the following structure:
| Name | Type | Description |
|---|---|---|
| response | DeliveryResponse | Conforms to the Target Delivery API response |
| target_cookie | dict | Target cookie |
| target_location_hint_cookie | dict | Target location hint cookie |
| analytics_details | list[AnalyticsResponse] | Analytics payload, in case of client-side Analytics usage |
| trace | list[dict] | |
| response_tokens | list[dict] | A list of Response Tokens |
| meta | dict | Additional decisioning metadata for use with on-device-decisioning |
Example
First, let’s build the Target Delivery API request for prefetching content for the home and product1 mboxes.
Python
mboxes = [MboxRequest(name="home"),
MboxRequest(name="product1")]
prefetch = PrefetchRequest(mboxes=mboxes)
delivery_request = DeliveryRequest(prefetch=prefetch)
# Next, we fetch the offers via Target Python SDK getOffers() API
response = target_client.get_offers({ "request": delivery_request })
A successful response will contain a Target Delivery API response object, which contains prefetched content for the requested mboxes. A sample target_response["response"] object (formatted as a dict) may appear as follows:
Python
{
"status": 200,
"requestId": "e8ac2dbf5f7d4a9f9280f6071f24a01e",
"id": {
"tntId": "08210e2d751a44779b8313e2d2692b96.21_27"
},
"client": "adobetargetmobile",
"edgeHost": "mboxedge21.tt.omtrdc.net",
"prefetch": {
"mboxes": [
{
"index": 0,
"name": "home",
"options": [
{
"type": "html",
"content": "HOME OFFER",
"eventToken": "t0FRvoWosOqHmYL5G18QCZNWHtnQtQrJfmRrQugEa2qCnQ9Y9OaLL2gsdrWQTvE54PwSz67rmXWmSnkXpSSS2Q==",
"responseTokens": {
"profile.memberlevel": "0",
"geo.city": "dublin",
"activity.id": "302740",
"experience.name": "Experience B",
"geo.country": "ireland"
}
}
],
"state": "J+W1Fq18hxliDDJonTPfV0S+mzxapAO3d14M43EsM9f12A6QaqL+E3XKkRFlmq9U"
},
{
"index": 1,
"name": "product1",
"options": [
{
"type": "html",
"content": "TEST OFFER 1",
"eventToken": "t0FRvoWosOqHmYL5G18QCZNWHtnQtQrJfmRrQugEa2qCnQ9Y9OaLL2gsdrWQTvE54PwSz67rmXWmSnkXpSSS2Q==",
"responseTokens": {
"profile.memberlevel": "0",
"geo.city": "dublin",
"activity.id": "302740",
"experience.name": "Experience B",
"geo.country": "ireland"
}
}
],
"state": "J+W1Fq18hxliDDJonTPfV0S+mzxapAO3d14M43EsM9f12A6QaqL+E3XKkRFlmq9U"
}
]
}
}
Note the mbox name and state fields, as well as the eventToken field, in each of the Target content options. These should be provided in the send_notifications() request, as soon as each content option is displayed. Let’s suppose the product1 mbox has been displayed on a non-browser device. The notifications request will appear as follows:
Python
notification_mbox = NotificationMbox(name="product1",
state="J+W1Fq18hxliDDJonTPfV0S+mzxapAO3d14M43EsM9f12A6QaqL+E3XKkRFlmq9U")
notification = Notification(
id="1",
type=MetricType.DISPLAY,
timestamp=1621530726000, # Epoch time in milliseconds
mbox=notification_mbox,
tokens=["t0FRvoWosOqHmYL5G18QCZNWHtnQtQrJfmRrQugEa2qCnQ9Y9OaLL2gsdrWQTvE54PwSz67rmXWmSnkXpSSS2Q=="]
)
notification_request = DeliveryRequest(notifications=[notification])
Notice we have included both the mbox state and the event token corresponding to the Target offer delivered in the prefetch response. Having built the notifications request, we can send it to Target via the send_notifications() API method:
Python
response = target_client.send_notifications({ "request": notification_request })
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