Grid search

test_request.py

import requests
import json
import numpy as np

url = 'http://mmx-recsys-ingress.flop.search-infra.etsy-searchinfra-gke-prod-2.etsycloud.com/apiv2/general/rec_set/dynamic/recs'

headers = {
    'accept': 'application/json',
    'Content-Type': 'application/json',
}

def fn(notificationType, source, trigger, listingId, shopId):
    data = {
        "coreParams": {
            "limit": 200,
            "modulePlacement": "test"
        },
        "recSetParams": {
            "candidate": {
                "name": "notifications-with-features-extractor",
                "args": {
                    "notifications": [
                        {
                            "notificationId": "",
                            "notificationType": notificationType,
                            "source": source,
                            "trigger": trigger,
                            "listingIds": [listingId],
                            "shopIds": [shopId],
                            "createdOn": 0,
                            "hasCta": True,
                            "isSeen": True,
                            "tab": "Deals"
                        }
                    ]
                }
            },
            "ranking": {
                "ranker": {
                    "name": "notifications-ranker-v1"
                },
                "context": {
                    "name": "user-id-context",
                    "args": {
                        "userId": 78905933
                    }
                }
            }
        }
    }
    return data

for notification_type in ['aco', 'ofl', 'psfcl', 'psffl', 'psffs', 'pssfl', 'rfc', 'tyc', 'asfl', 'cr', 'fbis', 'nfyfs']:
    for trigger in ['coupon', 'in_stock', 'new_listings', 'on_sale', 'only_1_left', 'recommendations']:
        for source in ['cart_listing', 'collection', 'favorite_listing', 'favorite_shop', 'purchased_shop', 'saved_for_later_listing']:
            for listingId, shopId in [(1682417764, 26429036), (1733348540, 10993646)]:
                    data = fn(notification_type, source, trigger, listingId, shopId)
                    response = requests.post(url, headers=headers, data=json.dumps(data))
                    print(f"{notification_type}-{trigger}-{source}-{listingId}-{shopId} -> {np.round(response.json()['recs'][0]['score'], 3)}")