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🎉 Source Amazon Ads : Add attribution reports (#16342)

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* use data field for json response

* add attribution reports

* update changelog

* add atrribution report integration test

* clean up expected_records
add empty streams to acceptance test config

* handle exception for profile

* update tests

Co-authored-by: Yiyang Li <yiyangli2010@gmail.com>
Co-authored-by: Harshith Mullapudi <harshithmullapudi@gmail.com>
Co-authored-by: Sajarin <sajarindider@gmail.com>
This commit is contained in:
Ganpat Agarwal
2022-10-03 19:54:33 +05:30
committed by GitHub
parent 06fafa894d
commit 454f84d3ed
13 changed files with 555 additions and 131 deletions
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119
airbyte-integrations/connectors/source-amazon-ads/unit_tests/conftest.py
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@@ -2,6 +2,7 @@
# Copyright (c) 2022 Airbyte, Inc., all rights reserved.
#
import json
from copy import deepcopy
from pytest import fixture
@@ -61,3 +62,121 @@ def targeting_response():
return """
[{"targetId":123,"adGroupId":321,"state":"enabled","expressionType":"manual","bid":1.5,"expression":{"type":"asinSameAs","value":"B0123456789"},"resolvedExpression":{"type":"views","values":{"type":"asinCategorySameAs","value":"B0123456789"}}}]
"""
@fixture
def attribution_report_response():
def _internal(report_type: str):
responses = {
"PRODUCTS": {
"reports": [
{
"date": "20220829",
"attributedDetailPageViewsClicks14d": "0",
"attributedPurchases14d": "0",
"adGroupId": "bestselling_fan-dusters",
"advertiserName": "name",
"productName": "some product name",
"productCategory": "Chemicals",
"productSubcategory": "Applicators",
"brandHaloAttributedPurchases14d": "0",
"brandHaloUnitsSold14d": "0",
"attributedNewToBrandSales14d": "0",
"attributedAddToCartClicks14d": "0",
"brandHaloNewToBrandPurchases14d": "0",
"brandName": "name",
"marketplace": "AMAZON.COM",
"brandHaloAttributedSales14d": "0",
"campaignId": "my-campaign",
"brandHaloNewToBrandUnitsSold14d": "0",
"productAsin": "AAAAAAA",
"productConversionType": "Brand Halo",
"attributedNewToBrandUnitsSold14d": "0",
"brandHaloAttributedAddToCartClicks14d": "0",
"attributedNewToBrandPurchases14d": "0",
"unitsSold14d": "0",
"productGroup": "Automotive",
"brandHaloNewToBrandSales14d": "0",
"publisher": "Display - Other",
"brandHaloDetailPageViewsClicks14d": "0",
"attributedSales14d": "0",
}
]
},
"PERFORMANCE_ADGROUP": {
"reports": [
{
"date": "20220829",
"attributedAddToCartClicks14d": "5",
"brb_bonus_amount": "14.280000000000001",
"campaignId": "16719043411",
"attributedDetailPageViewsClicks14d": "30",
"attributedPurchases14d": "3",
"attributedTotalAddToCartClicks14d": "5",
"attributedTotalPurchases14d": "3",
"adGroupId": "135021988277",
"advertiserName": "Eversprout",
"totalUnitsSold14d": "4",
"unitsSold14d": "4",
"Click-throughs": "30",
"publisher": "Google Ads",
"attributedTotalDetailPageViewsClicks14d": "30",
"attributedSales14d": "191.95999999999998",
"totalAttributedSales14d": "191.95999999999998",
}
]
},
"PERFORMANCE_CAMPAIGN": {
"reports": [
{
"date": "20220830",
"attributedAddToCartClicks14d": "1",
"brb_bonus_amount": "0",
"campaignId": "3936789099315437-B082P9Y919",
"attributedDetailPageViewsClicks14d": "9",
"attributedPurchases14d": "0",
"attributedTotalAddToCartClicks14d": "1",
"attributedTotalPurchases14d": "0",
"advertiserName": "Eversprout",
"totalUnitsSold14d": "0",
"unitsSold14d": "0",
"Click-throughs": "12",
"attributedTotalDetailPageViewsClicks14d": "16",
"attributedSales14d": "0",
"totalAttributedSales14d": "0",
}
]
},
"PERFORMANCE_CREATIVE": {
"reports": [
{
"date": "20220830",
"attributedAddToCartClicks14d": "0",
"campaignId": "16719043411",
"attributedDetailPageViewsClicks14d": "0",
"attributedPurchases14d": "0",
"attributedTotalAddToCartClicks14d": "0",
"attributedTotalPurchases14d": "0",
"adGroupId": "135021988277",
"advertiserName": "Eversprout",
"creativeId": "135021988277",
"totalUnitsSold14d": "0",
"unitsSold14d": "0",
"Click-throughs": "1",
"publisher": "Google Ads",
"attributedTotalDetailPageViewsClicks14d": "0",
"attributedSales14d": "0",
"totalAttributedSales14d": "0",
}
]
},
}
return json.dumps(responses[report_type])
return _internal
@fixture
def attribution_report_bad_response():
return "bad response"