Source Facebook marketing: Fix duplicating records during insights lookback period

airbyte-integrations/connectors/source-facebook-marketing/Dockerfile

@@ -13,5 +13,5 @@ ENV AIRBYTE_ENTRYPOINT "python /airbyte/integration_code/main.py"
 ENTRYPOINT ["python", "/airbyte/integration_code/main.py"]
 
 
-LABEL io.airbyte.version=0.2.48
+LABEL io.airbyte.version=0.2.49
 LABEL io.airbyte.name=airbyte/source-facebook-marketing

airbyte-integrations/connectors/source-facebook-marketing/source_facebook_marketing/streams/base_insight_streams.py

@@ -102,9 +102,17 @@ def read_records(
         stream_state: Mapping[str, Any] = None,
     ) -> Iterable[Mapping[str, Any]]:
         """Waits for current job to finish (slice) and yield its result"""
+
+        date_start = stream_state and stream_state.get("date_start")
+        if date_start:
+            date_start = pendulum.parse(date_start).date()
+
         job = stream_slice["insight_job"]
         for obj in job.get_result():
-            yield obj.export_all_data()
+            record = obj.export_all_data()
+            if date_start and pendulum.parse(record["updated_time"]).date() <= date_start:
+                continue
+            yield record
 
         self._completed_slices.add(job.interval.start)
         if job.interval.start == self._next_cursor_value:
@@ -152,9 +160,11 @@ def get_updated_state(self, current_stream_state: MutableMapping[str, Any], late
 
     def _date_intervals(self) -> Iterator[pendulum.Date]:
         """Get date period to sync"""
-        if self._end_date < self._next_cursor_value:
+        today = pendulum.today(tz="UTC").date()
+        end_date = min(self._end_date, today)
+        if end_date < self._next_cursor_value:
             return
-        date_range = self._end_date - self._next_cursor_value
+        date_range = end_date - self._next_cursor_value
         yield from date_range.range("days", self.time_increment)
 
     def _advance_cursor(self):
@@ -173,9 +183,14 @@ def _generate_async_jobs(self, params: Mapping) -> Iterator[AsyncJob]:
         :return:
         """
 
+        today = pendulum.today(tz="UTC").date()
+        refresh_date = today - self.INSIGHTS_LOOKBACK_PERIOD
+
         for ts_start in self._date_intervals():
             if ts_start in self._completed_slices:
-                continue
+                if ts_start < refresh_date:
+                    continue
+                self._completed_slices.remove(ts_start)
             ts_end = ts_start + pendulum.duration(days=self.time_increment - 1)
             interval = pendulum.Period(ts_start, ts_end)
             yield InsightAsyncJob(api=self._api.api, edge_object=self._api.account, interval=interval, params=params)
@@ -215,7 +230,7 @@ def _get_start_date(self) -> pendulum.Date:
 
         :return: the first date to sync
         """
-        today = pendulum.today().date()
+        today = pendulum.today(tz="UTC").date()
         oldest_date = today - self.INSIGHTS_RETENTION_PERIOD
         refresh_date = today - self.INSIGHTS_LOOKBACK_PERIOD
 

airbyte-integrations/connectors/source-facebook-marketing/unit_tests/helpers.py

@@ -0,0 +1,54 @@
+#
+# Copyright (c) 2021 Airbyte, Inc., all rights reserved.
+#
+
+
+from typing import Any, MutableMapping
+
+from airbyte_cdk.models import SyncMode
+from airbyte_cdk.sources.streams import Stream
+
+
+def read_full_refresh(stream_instance: Stream):
+    records = []
+    slices = stream_instance.stream_slices(sync_mode=SyncMode.full_refresh)
+    for slice in slices:
+        records.extend(list(stream_instance.read_records(stream_slice=slice, sync_mode=SyncMode.full_refresh)))
+    return records
+
+
+def read_incremental(stream_instance: Stream, stream_state: MutableMapping[str, Any]):
+    records = []
+    stream_instance.state = stream_state
+    slices = stream_instance.stream_slices(sync_mode=SyncMode.incremental, stream_state=stream_state)
+    for slice in slices:
+        records.extend(list(stream_instance.read_records(sync_mode=SyncMode.incremental, stream_slice=slice, stream_state=stream_state)))
+    stream_state.clear()
+    stream_state.update(stream_instance.state)
+    return records
+
+
+class FakeInsightAsyncJobManager:
+    def __init__(self, jobs, **kwargs):
+        self.jobs = jobs
+
+    def completed_jobs(self):
+        yield from self.jobs
+
+
+class FakeInsightAsyncJob:
+    updated_insights = {}
+
+    @classmethod
+    def update_insight(cls, date_start, updated_time):
+        cls.updated_insights[date_start] = updated_time
+
+    def __init__(self, interval, **kwargs):
+        self.interval = interval
+
+    def get_result(self):
+        return [self]
+
+    def export_all_data(self):
+        date_start = str(self.interval.start)
+        return {"date_start": date_start, "updated_time": self.updated_insights.get(date_start, date_start)}

airbyte-integrations/connectors/source-facebook-marketing/unit_tests/test_base_insight_streams.py

@@ -6,7 +6,9 @@
 
 import pendulum
 import pytest
+import source_facebook_marketing.streams.base_insight_streams
 from airbyte_cdk.models import SyncMode
+from helpers import FakeInsightAsyncJob, FakeInsightAsyncJobManager, read_full_refresh, read_incremental
 from pendulum import duration
 from source_facebook_marketing.streams import AdsInsights
 from source_facebook_marketing.streams.async_job import AsyncJob, InsightAsyncJob
@@ -290,3 +292,74 @@ def test_fields_custom(self, api):
         )
 
         assert stream.fields == ["account_id", "account_currency"]
+
+    def test_completed_slices_in_lookback_period(self, api, mocker, monkeypatch):
+        start_date = pendulum.parse("2020-03-01")
+        end_date = pendulum.parse("2020-05-01")
+        monkeypatch.setattr(pendulum, "today", mocker.MagicMock(return_value=pendulum.parse("2020-04-01")))
+        monkeypatch.setattr(AdsInsights, "INSIGHTS_LOOKBACK_PERIOD", pendulum.duration(days=10))
+        monkeypatch.setattr(source_facebook_marketing.streams.base_insight_streams, "InsightAsyncJob", FakeInsightAsyncJob)
+        monkeypatch.setattr(source_facebook_marketing.streams.base_insight_streams, "InsightAsyncJobManager", FakeInsightAsyncJobManager)
+
+        state = {
+            AdsInsights.cursor_field: "2020-03-19",
+            "slices": [
+                "2020-03-21",
+                "2020-03-22",
+                "2020-03-23",
+            ],
+            "time_increment": 1,
+        }
+
+        stream = AdsInsights(api=api, start_date=start_date, end_date=end_date)
+        stream.state = state
+        assert stream._completed_slices == {pendulum.Date(2020, 3, 21), pendulum.Date(2020, 3, 22), pendulum.Date(2020, 3, 23)}
+
+        slices = stream.stream_slices(stream_state=state, sync_mode=SyncMode.incremental)
+        slices = [x["insight_job"].interval.start for x in slices]
+
+        assert pendulum.parse("2020-03-21").date() not in slices
+        assert pendulum.parse("2020-03-22").date() in slices
+        assert pendulum.parse("2020-03-23").date() in slices
+        assert stream._completed_slices == {pendulum.Date(2020, 3, 21)}
+
+    def test_incremental_lookback_period_updated(self, api, mocker, monkeypatch):
+        start_date = pendulum.parse("2020-03-01")
+        end_date = pendulum.parse("2020-05-01")
+        today = pendulum.parse("2020-04-01")
+        monkeypatch.setattr(pendulum, "today", mocker.MagicMock(return_value=today))
+        monkeypatch.setattr(AdsInsights, "INSIGHTS_LOOKBACK_PERIOD", pendulum.duration(days=20))
+        monkeypatch.setattr(source_facebook_marketing.streams.base_insight_streams, "InsightAsyncJob", FakeInsightAsyncJob)
+        monkeypatch.setattr(source_facebook_marketing.streams.base_insight_streams, "InsightAsyncJobManager", FakeInsightAsyncJobManager)
+
+        stream = AdsInsights(api=api, start_date=start_date, end_date=end_date)
+
+        records = read_full_refresh(stream)
+        assert len(records) == (today - start_date).days + 1
+        assert records[0]["date_start"] == str(start_date.date())
+        assert records[-1]["date_start"] == str(today.date())
+
+        state = {AdsInsights.cursor_field: "2020-03-20", "time_increment": 1}
+        records = read_incremental(stream, state)
+        assert len(records) == (today - pendulum.parse("2020-03-20")).days
+        assert records[0]["date_start"] == "2020-03-21"
+        assert records[-1]["date_start"] == str(today.date())
+        assert state == {"date_start": str(today.date()), "slices": [], "time_increment": 1}
+
+        today = pendulum.parse("2020-04-02")
+        monkeypatch.setattr(pendulum, "today", mocker.MagicMock(return_value=today))
+        records = read_incremental(stream, state)
+        assert records == [{"date_start": str(today.date()), "updated_time": str(today.date())}]
+        assert state == {"date_start": str(today.date()), "slices": [], "time_increment": 1}
+
+        today = pendulum.parse("2020-04-03")
+        monkeypatch.setattr(pendulum, "today", mocker.MagicMock(return_value=today))
+        FakeInsightAsyncJob.update_insight("2020-03-27", "2020-04-02")
+        FakeInsightAsyncJob.update_insight("2020-03-28", "2020-04-03")
+
+        records = read_incremental(stream, state)
+        assert records == [
+            {"date_start": "2020-03-28", "updated_time": "2020-04-03"},
+            {"date_start": "2020-04-03", "updated_time": "2020-04-03"},
+        ]
+        assert state == {"date_start": str(today.date()), "slices": [], "time_increment": 1}

docs/integrations/sources/facebook-marketing.md

@@ -108,6 +108,7 @@ For more information, see the [Facebook Insights API documentation.](https://dev
 
 | Version | Date       | Pull Request                                             | Subject                                                                                                                                                                                                                                                                                                   |
 |:--------|:-----------|:---------------------------------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| 0.2.49  | 2022-05-20 | [13047](https://github.com/airbytehq/airbyte/pull/13047) | Fix duplicating records during insights lookback period                                                                                                                                                                                                                                                   |
 | 0.2.48  | 2022-05-19 | [13008](https://github.com/airbytehq/airbyte/pull/13008) | Update CDK to v0.1.58 avoid crashing on incorrect stream schemas                                                                                                                                                                                                                                          |
 | 0.2.47  | 2022-05-06 | [12685](https://github.com/airbytehq/airbyte/pull/12685) | Update CDK to v0.1.56 to emit an `AirbyeTraceMessage` on uncaught exceptions                                                                                                                                                                                                                              |
 | 0.2.46  | 2022-04-22 | [12171](https://github.com/airbytehq/airbyte/pull/12171) | Allow configuration of page_size for requests                                                                                                                                                                                                                                                             |