🎉 Source Amazon Ads : Add attribution reports

airbyte-integrations/connectors/source-amazon-ads/acceptance-test-config.yml

@@ -14,12 +14,19 @@ tests:
   basic_read:
     - config_path: "secrets/config.json"
       configured_catalog_path: "integration_tests/configured_catalog.json"
-      empty_streams: ["sponsored_brands_campaigns", "sponsored_brands_ad_groups", "sponsored_brands_keywords"]
-      expect_records:
-        path: "integration_tests/expected_records.txt"
-        extra_fields: no
-        exact_order: no
-        extra_records: no
+      empty_streams:
+        [
+          "sponsored_brands_ad_groups",
+          "sponsored_brands_campaigns",
+          "sponsored_brands_keywords",
+          "sponsored_product_keywords",
+          "sponsored_product_negative_keywords",
+          "sponsored_product_targetings",
+          "attribution_report_performance_creative",
+          "attribution_report_performance_adgroup",
+          "attribution_report_products",
+          "attribution_report_performance_campaign",
+        ]
     - config_path: "secrets/config_report.json"
       configured_catalog_path: "integration_tests/configured_catalog_report.json"
       timeout_seconds: 2400

airbyte-integrations/connectors/source-amazon-ads/integration_tests/configured_catalog.json

@@ -139,6 +139,42 @@
       },
       "sync_mode": "full_refresh",
       "destination_sync_mode": "overwrite"
+    },
+    {
+      "stream": {
+        "name": "attribution_report_products",
+        "json_schema": {},
+        "supported_sync_modes": ["full_refresh"]
+      },
+      "sync_mode": "full_refresh",
+      "destination_sync_mode": "overwrite"
+    },
+    {
+      "stream": {
+        "name": "attribution_report_performance_adgroup",
+        "json_schema": {},
+        "supported_sync_modes": ["full_refresh"]
+      },
+      "sync_mode": "full_refresh",
+      "destination_sync_mode": "overwrite"
+    },
+    {
+      "stream": {
+        "name": "attribution_report_performance_campaign",
+        "json_schema": {},
+        "supported_sync_modes": ["full_refresh"]
+      },
+      "sync_mode": "full_refresh",
+      "destination_sync_mode": "overwrite"
+    },
+    {
+      "stream": {
+        "name": "attribution_report_performance_creative",
+        "json_schema": {},
+        "supported_sync_modes": ["full_refresh"]
+      },
+      "sync_mode": "full_refresh",
+      "destination_sync_mode": "overwrite"
     }
   ]
 }

airbyte-integrations/connectors/source-amazon-ads/source_amazon_ads/schemas/__init__.py

@@ -21,6 +21,7 @@
 # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 # SOFTWARE.
 #
+from .attribution_report import AttributionReportModel
 from .common import CatalogModel, Keywords, MetricsReport, NegativeKeywords
 from .profile import Profile
 from .sponsored_brands import BrandsAdGroup, BrandsCampaign
@@ -43,4 +44,5 @@
     "ProductCampaign",
     "ProductTargeting",
     "Profile",
+    "AttributionReportModel",
 ]

airbyte-integrations/connectors/source-amazon-ads/source_amazon_ads/schemas/attribution_report.py

@@ -0,0 +1,30 @@
+#
+# Copyright (c) 2022 Airbyte, Inc., all rights reserved.
+#
+
+from typing import List
+
+from .common import CatalogModel
+
+
+class Report(CatalogModel):
+    date: str
+    brandName: str
+    marketplace: str
+    campaignId: str
+    productAsin: str
+    productConversionType: str
+    advertiserName: str
+    adGroupId: str
+    creativeId: str
+    productName: str
+    productCategory: str
+    productSubcategory: str
+    productGroup: str
+    publisher: str
+
+
+class AttributionReportModel(CatalogModel):
+    reports: List[Report]
+    size: int
+    cursorId: str

airbyte-integrations/connectors/source-amazon-ads/source_amazon_ads/source.py

@@ -13,6 +13,10 @@
 
 from .schemas import Profile
 from .streams import (
+    AttributionReportPerformanceAdgroup,
+    AttributionReportPerformanceCampaign,
+    AttributionReportPerformanceCreative,
+    AttributionReportProducts,
     Profiles,
     SponsoredBrandsAdGroups,
     SponsoredBrandsCampaigns,
@@ -102,6 +106,10 @@ def streams(self, config: Mapping[str, Any]) -> List[Stream]:
             SponsoredBrandsKeywords,
             SponsoredBrandsReportStream,
             SponsoredBrandsVideoReportStream,
+            AttributionReportPerformanceAdgroup,
+            AttributionReportPerformanceCampaign,
+            AttributionReportPerformanceCreative,
+            AttributionReportProducts,
         ]
         return [profiles_stream, *[stream_class(**stream_args) for stream_class in non_profile_stream_classes]]
 

airbyte-integrations/connectors/source-amazon-ads/source_amazon_ads/streams/__init__.py

@@ -1,6 +1,12 @@
 #
 # Copyright (c) 2021 Airbyte, Inc., all rights reserved.
 #
+from .attribution_report import (
+    AttributionReportPerformanceAdgroup,
+    AttributionReportPerformanceCampaign,
+    AttributionReportPerformanceCreative,
+    AttributionReportProducts,
+)
 from .profiles import Profiles
 from .report_streams import (
     SponsoredBrandsReportStream,
@@ -38,4 +44,8 @@
     "SponsoredProductsReportStream",
     "SponsoredBrandsReportStream",
     "SponsoredBrandsVideoReportStream",
+    "AttributionReportPerformanceAdgroup",
+    "AttributionReportPerformanceCampaign",
+    "AttributionReportPerformanceCreative",
+    "AttributionReportProducts",
 ]

airbyte-integrations/connectors/source-amazon-ads/source_amazon_ads/streams/attribution_report.py

@@ -0,0 +1,172 @@
+#
+# Copyright (c) 2022 Airbyte, Inc., all rights reserved.
+#
+
+from typing import Any, Iterable, Mapping, MutableMapping, Optional
+
+import pendulum
+import requests
+from source_amazon_ads.schemas import AttributionReportModel, Profile
+from source_amazon_ads.streams.common import AmazonAdsStream
+
+BRAND_REFERRAL_BONUS = "brb_bonus_amount"
+
+METRICS_MAP = {
+    "PERFORMANCE": [
+        "Click-throughs",
+        "attributedDetailPageViewsClicks14d",
+        "attributedAddToCartClicks14d",
+        "attributedPurchases14d",
+        "unitsSold14d",
+        "attributedSales14d",
+        "attributedTotalDetailPageViewsClicks14d",
+        "attributedTotalAddToCartClicks14d",
+        "attributedTotalPurchases14d",
+        "totalUnitsSold14d",
+        "totalAttributedSales14d",
+    ],
+    "PRODUCTS": [
+        "attributedDetailPageViewsClicks14d",
+        "attributedAddToCartClicks14d",
+        "attributedPurchases14d",
+        "unitsSold14d",
+        "attributedSales14d",
+        "brandHaloDetailPageViewsClicks14d",
+        "brandHaloAttributedAddToCartClicks14d",
+        "brandHaloAttributedPurchases14d",
+        "brandHaloUnitsSold14d",
+        "brandHaloAttributedSales14d",
+        "attributedNewToBrandPurchases14d",
+        "attributedNewToBrandUnitsSold14d",
+        "attributedNewToBrandSales14d",
+        "brandHaloNewToBrandPurchases14d",
+        "brandHaloNewToBrandUnitsSold14d",
+        "brandHaloNewToBrandSales14d",
+    ],
+}
+
+
+class AttributionReport(AmazonAdsStream):
+    """
+    This stream corresponds to Amazon Advertising API - Attribution Reports
+    https://advertising.amazon.com/API/docs/en-us/amazon-attribution-prod-3p/#/
+    """
+
+    model = AttributionReportModel
+    primary_key = None
+    data_field = "reports"
+    page_size = 300
+
+    report_type = ""
+    metrics = ""
+    group_by = ""
+
+    _next_page_token_field = "cursorId"
+    _current_profile_id = ""
+
+    REPORT_DATE_FORMAT = "YYYYMMDD"
+    CONFIG_DATE_FORMAT = "YYYY-MM-DD"
+    REPORTING_PERIOD = 90
+
+    def __init__(self, config: Mapping[str, Any], *args, **kwargs):
+        self._start_date = config.get("start_date")
+        self._req_start_date = ""
+        self._req_end_date = ""
+
+        super().__init__(config, *args, **kwargs)
+
+    def _set_dates(self, profile: Profile):
+        new_start_date = pendulum.now(tz=profile.timezone).subtract(days=1).date()
+        new_end_date = pendulum.now(tz=profile.timezone).date()
+
+        if self._start_date:
+            new_start_date = max(self._start_date, new_end_date.subtract(days=self.REPORTING_PERIOD))
+
+        self._req_start_date = new_start_date.format(self.REPORT_DATE_FORMAT)
+        self._req_end_date = new_end_date.format(self.REPORT_DATE_FORMAT)
+
+    @property
+    def http_method(self) -> str:
+        return "POST"
+
+    def read_records(self, *args, **kvargs) -> Iterable[Mapping[str, Any]]:
+        """
+        Iterate through self._profiles list and send read all records for each profile.
+        """
+        for profile in self._profiles:
+            self._set_dates(profile)
+            self._current_profile_id = profile.profileId
+            yield from super().read_records(*args, **kvargs)
+
+    def request_headers(self, *args, **kvargs) -> MutableMapping[str, Any]:
+        headers = super().request_headers(*args, **kvargs)
+        headers["Amazon-Advertising-API-Scope"] = str(self._current_profile_id)
+        return headers
+
+    def next_page_token(self, response: requests.Response) -> Optional[Mapping[str, Any]]:
+        stream_data = response.json()
+        next_page_token = stream_data.get(self._next_page_token_field)
+        if next_page_token:
+            return {self._next_page_token_field: next_page_token}
+
+    def path(self, **kvargs) -> str:
+        return "/attribution/report"
+
+    def request_body_json(
+        self,
+        stream_state: Mapping[str, Any],
+        stream_slice: Mapping[str, Any] = None,
+        next_page_token: Mapping[str, Any] = None,
+    ) -> Optional[Mapping]:
+        body = {
+            "reportType": self.report_type,
+            "count": self.page_size,
+            "metrics": self.metrics,
+            "startDate": self._req_start_date,
+            "endDate": self._req_end_date,
+            self._next_page_token_field: "",
+        }
+
+        if self.group_by:
+            body["groupBy"] = self.group_by
+
+        if next_page_token:
+            body[self._next_page_token_field] = next_page_token[self._next_page_token_field]
+
+        return body
+
+
+class AttributionReportProducts(AttributionReport):
+    report_type = "PRODUCTS"
+
+    metrics = ",".join(METRICS_MAP[report_type])
+
+    group_by = ""
+
+
+class AttributionReportPerformanceCreative(AttributionReport):
+    report_type = "PERFORMANCE"
+
+    metrics = ",".join(METRICS_MAP[report_type])
+
+    group_by = "CREATIVE"
+
+
+class AttributionReportPerformanceAdgroup(AttributionReport):
+    report_type = "PERFORMANCE"
+
+    metrics_list = METRICS_MAP[report_type]
+    metrics_list.append(BRAND_REFERRAL_BONUS)
+    metrics = ",".join(metrics_list)
+
+    group_by = "ADGROUP"
+
+
+class AttributionReportPerformanceCampaign(AttributionReport):
+    report_type = "PERFORMANCE"
+
+    metrics_list = METRICS_MAP[report_type]
+    metrics_list.append(BRAND_REFERRAL_BONUS)
+    metrics = ",".join(metrics_list)
+
+    group_by = "CAMPAIGN"

airbyte-integrations/connectors/source-amazon-ads/source_amazon_ads/streams/common.py

@@ -97,6 +97,8 @@ class AmazonAdsStream(HttpStream, BasicAmazonAdsStream):
     Class for getting data from streams that based on single http request.
     """
 
+    data_field = ""
+
     def __init__(self, config: Mapping[str, Any], *args, profiles: List[Profile] = None, **kwargs):
         # Each AmazonAdsStream instance are dependant on list of profiles.
         BasicAmazonAdsStream.__init__(self, config, profiles=profiles)
@@ -121,7 +123,10 @@ def parse_response(self, response: requests.Response, **kwargs) -> Iterable[Mapp
         :return an object representing single record in the response
         """
         if response.status_code == HTTPStatus.OK:
-            yield from response.json()
+            if self.data_field:
+                yield from response.json().get(self.data_field, [])
+            else:
+                yield from response.json()
             return
 
         """