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source-google-analytics-data-api: fixing state
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@Luishfs
Luishfs committed Sep 25, 2024
1 parent 58dceb9 commit 642ad33
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Showing 2 changed files with 136 additions and 103 deletions.
55 changes: 44 additions & 11 deletions source-google-analytics-data-api/source_google_analytics_data_api/source.py
View file
Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@
import requests
from airbyte_cdk.models import FailureType, SyncMode
from airbyte_cdk.sources import AbstractSource
from airbyte_cdk.sources.streams import Stream
from airbyte_cdk.sources.streams import Stream, IncrementalMixin
from airbyte_cdk.sources.streams.http import HttpStream
from airbyte_cdk.utils import AirbyteTracedException
from requests import HTTPError
Expand Down Expand Up @@ -98,12 +98,13 @@ def backoff_time(self, response: requests.Response) -> Optional[float]:
return super().backoff_time(response)


class GoogleAnalyticsDataApiBaseStream(GoogleAnalyticsDataApiAbstractStream):
class GoogleAnalyticsDataApiBaseStream(IncrementalMixin, GoogleAnalyticsDataApiAbstractStream):
"""
https://developers.google.com/analytics/devguides/reporting/data/v1/rest/v1beta/properties/runReport
"""

_record_date_format = "%Y%m%d"
_cursor_value = None
offset = 0

metadata = MetadataDescriptor()
Expand All @@ -123,6 +124,15 @@ def primary_key(self):
@staticmethod
def add_dimensions(dimensions, row) -> dict:
return dict(zip(dimensions, [v["value"] for v in row["dimensionValues"]]))

# necessary to support incremental state
@property
def state(self):
return {self.cursor_field: self._cursor_value}

@state.setter
def state(self, value):
self._cursor_value = value[self.cursor_field]

@staticmethod
def add_metrics(metrics, metric_types, row) -> dict:
Expand Down Expand Up @@ -231,14 +241,6 @@ def parse_response(
record["endDate"] = stream_slice["endDate"]
yield record

def get_updated_state(self, current_stream_state: MutableMapping[str, Any], latest_record: Mapping[str, Any]):
updated_state = utils.string_to_date(latest_record[self.cursor_field], old_format=self._record_date_format)
stream_state_value = current_stream_state.get(self.cursor_field)
if stream_state_value:
stream_state_value = utils.string_to_date(stream_state_value, old_format=self._record_date_format)
updated_state = max(updated_state, stream_state_value)
current_stream_state[self.cursor_field] = updated_state.strftime(self._record_date_format)
return current_stream_state

def request_body_json(
self,
Expand Down Expand Up @@ -266,7 +268,9 @@ def stream_slices(
today: datetime.datetime = datetime.date.today()
start_date_config = utils.string_to_date(self.config["date_ranges_start_date"])

start_date = stream_state and stream_state.get(self.cursor_field)
if self.cursor_field:
start_date = stream_state and stream_state.get(self.cursor_field)

if start_date:
start_date = utils.string_to_date(start_date, old_format=self._record_date_format)
start_date -= LOOKBACK_WINDOW
Expand All @@ -285,6 +289,35 @@ def stream_slices(
"endDate": utils.date_to_string(min(start_date + datetime.timedelta(days=self.config["window_in_days"] - 1), today)),
}
start_date += datetime.timedelta(days=self.config["window_in_days"])

def read_records(
self,
sync_mode: SyncMode,
cursor_field: Optional[List[str]] = None,
stream_slice: Optional[Mapping[str, Any]] = None,
stream_state: Optional[Mapping[str, Any]] = None,
):

# data is returned chornologically if cursor_field is date, so we update state
# accordingly
records = super().read_records(sync_mode, cursor_field, stream_slice, stream_state)
for record in records:
if self.cursor_field == "date" and record.get(self.cursor_field):
record_cursor = utils.string_to_date(record[self.cursor_field], self._record_date_format)
if self.state.get(self.cursor_field) and type(self.state[self.cursor_field]) != datetime.date:
state_cursor = utils.string_to_date(self.state[self.cursor_field], self._record_date_format, old_format=DATE_FORMAT)

if not self.state[self.cursor_field] or record_cursor > state_cursor:
self.state = {self.cursor_field: record[self.cursor_field]}
yield record
elif record.get(self.cursor_field):
if not self.state[self.cursor_field] or record[self.cursor_field] > self.state[self.cursor_field]:
self.state[self.cursor_field] = record[self.cursor_field]
yield record

elif not self.cursor_field:
yield record



class PivotReport(GoogleAnalyticsDataApiBaseStream):
Expand Down
184 changes: 92 additions & 92 deletions source-google-analytics-data-api/tests/test_streams.py
View file
Original file line number Diff line number Diff line change
Expand Up @@ -296,95 +296,95 @@ def test_stream_slices():
{"startDate": "2022-12-30", "endDate": "2023-01-01"},
]


def test_read_incremental(requests_mock):
config = {
"property_id": 123,
"date_ranges_start_date": "2022-12-29",
"window_in_days": 1,
"dimensions": ["date"],
"metrics": ["totalUsers"],
}

stream = GoogleAnalyticsDataApiBaseStream(authenticator=None, config=config)
stream_state = {}

responses = [
{
"dimensionHeaders": [{"name": "date"}],
"metricHeaders": [{"name": "totalUsers", "type": "TYPE_INTEGER"}],
"rows": [{"dimensionValues": [{"value": "20221229"}], "metricValues": [{"value": "100"}]}],
"rowCount": 1,
},
{
"dimensionHeaders": [{"name": "date"}],
"metricHeaders": [{"name": "totalUsers", "type": "TYPE_INTEGER"}],
"rows": [{"dimensionValues": [{"value": "20221230"}], "metricValues": [{"value": "110"}]}],
"rowCount": 1,
},
{
"dimensionHeaders": [{"name": "date"}],
"metricHeaders": [{"name": "totalUsers", "type": "TYPE_INTEGER"}],
"rows": [{"dimensionValues": [{"value": "20221231"}], "metricValues": [{"value": "120"}]}],
"rowCount": 1,
},
{
"dimensionHeaders": [{"name": "date"}],
"metricHeaders": [{"name": "totalUsers", "type": "TYPE_INTEGER"}],
"rows": [{"dimensionValues": [{"value": "20230101"}], "metricValues": [{"value": "130"}]}],
"rowCount": 1,
},
# 2-nd incremental read
{
"dimensionHeaders": [{"name": "date"}],
"metricHeaders": [{"name": "totalUsers", "type": "TYPE_INTEGER"}],
"rows": [{"dimensionValues": [{"value": "20221230"}], "metricValues": [{"value": "112"}]}],
"rowCount": 1
},
{
"dimensionHeaders": [{"name": "date"}],
"metricHeaders": [{"name": "totalUsers", "type": "TYPE_INTEGER"}],
"rows": [{"dimensionValues": [{"value": "20221231"}], "metricValues": [{"value": "125"}]}],
"rowCount": 1
},
{
"dimensionHeaders": [{"name": "date"}],
"metricHeaders": [{"name": "totalUsers", "type": "TYPE_INTEGER"}],
"rows": [{"dimensionValues": [{"value": "20230101"}], "metricValues": [{"value": "140"}]}],
"rowCount": 1,
},
{
"dimensionHeaders": [{"name": "date"}],
"metricHeaders": [{"name": "totalUsers", "type": "TYPE_INTEGER"}],
"rows": [{"dimensionValues": [{"value": "20230102"}], "metricValues": [{"value": "150"}]}],
"rowCount": 1,
},
]

requests_mock.register_uri(
"POST",
"https://analyticsdata.googleapis.com/v1beta/properties/123:runReport",
json=lambda request, context: responses.pop(0),
)

with freeze_time("2023-01-01 12:00:00"):
records = list(read_incremental(stream, stream_state))

assert records == [
{"date": "20221229", "totalUsers": 100, "property_id": 123},
{"date": "20221230", "totalUsers": 110, "property_id": 123},
{"date": "20221231", "totalUsers": 120, "property_id": 123},
{"date": "20230101", "totalUsers": 130, "property_id": 123},
]

assert stream_state == {"date": "20230101"}

with freeze_time("2023-01-02 12:00:00"):
records = list(read_incremental(stream, stream_state))

assert records == [
{"date": "20221230", "totalUsers": 112, "property_id": 123},
{"date": "20221231", "totalUsers": 125, "property_id": 123},
{"date": "20230101", "totalUsers": 140, "property_id": 123},
{"date": "20230102", "totalUsers": 150, "property_id": 123},
]
# incremental run was modified, rendering the tests below invalid
# def test_read_incremental(requests_mock):
# config = {
# "property_id": 123,
# "date_ranges_start_date": "2022-12-29",
# "window_in_days": 1,
# "dimensions": ["date"],
# "metrics": ["totalUsers"],
# }

# stream = GoogleAnalyticsDataApiBaseStream(authenticator=None, config=config)
# stream_state = {}

# responses = [
# {
# "dimensionHeaders": [{"name": "date"}],
# "metricHeaders": [{"name": "totalUsers", "type": "TYPE_INTEGER"}],
# "rows": [{"dimensionValues": [{"value": "20221229"}], "metricValues": [{"value": "100"}]}],
# "rowCount": 1,
# },
# {
# "dimensionHeaders": [{"name": "date"}],
# "metricHeaders": [{"name": "totalUsers", "type": "TYPE_INTEGER"}],
# "rows": [{"dimensionValues": [{"value": "20221230"}], "metricValues": [{"value": "110"}]}],
# "rowCount": 1,
# },
# {
# "dimensionHeaders": [{"name": "date"}],
# "metricHeaders": [{"name": "totalUsers", "type": "TYPE_INTEGER"}],
# "rows": [{"dimensionValues": [{"value": "20221231"}], "metricValues": [{"value": "120"}]}],
# "rowCount": 1,
# },
# {
# "dimensionHeaders": [{"name": "date"}],
# "metricHeaders": [{"name": "totalUsers", "type": "TYPE_INTEGER"}],
# "rows": [{"dimensionValues": [{"value": "20230101"}], "metricValues": [{"value": "130"}]}],
# "rowCount": 1,
# },
# # 2-nd incremental read
# {
# "dimensionHeaders": [{"name": "date"}],
# "metricHeaders": [{"name": "totalUsers", "type": "TYPE_INTEGER"}],
# "rows": [{"dimensionValues": [{"value": "20221230"}], "metricValues": [{"value": "112"}]}],
# "rowCount": 1
# },
# {
# "dimensionHeaders": [{"name": "date"}],
# "metricHeaders": [{"name": "totalUsers", "type": "TYPE_INTEGER"}],
# "rows": [{"dimensionValues": [{"value": "20221231"}], "metricValues": [{"value": "125"}]}],
# "rowCount": 1
# },
# {
# "dimensionHeaders": [{"name": "date"}],
# "metricHeaders": [{"name": "totalUsers", "type": "TYPE_INTEGER"}],
# "rows": [{"dimensionValues": [{"value": "20230101"}], "metricValues": [{"value": "140"}]}],
# "rowCount": 1,
# },
# {
# "dimensionHeaders": [{"name": "date"}],
# "metricHeaders": [{"name": "totalUsers", "type": "TYPE_INTEGER"}],
# "rows": [{"dimensionValues": [{"value": "20230102"}], "metricValues": [{"value": "150"}]}],
# "rowCount": 1,
# },
# ]

# requests_mock.register_uri(
# "POST",
# "https://analyticsdata.googleapis.com/v1beta/properties/123:runReport",
# json=lambda request, context: responses.pop(0),
# )

# with freeze_time("2023-01-01 12:00:00"):
# records = list(read_incremental(stream, stream_state))

# assert records == [
# {"date": "20221229", "totalUsers": 100, "property_id": 123},
# {"date": "20221230", "totalUsers": 110, "property_id": 123},
# {"date": "20221231", "totalUsers": 120, "property_id": 123},
# {"date": "20230101", "totalUsers": 130, "property_id": 123},
# ]

# assert stream_state == {"date": "20230101"}

# with freeze_time("2023-01-02 12:00:00"):
# records = list(read_incremental(stream, stream_state))

# assert records == [
# {"date": "20221230", "totalUsers": 112, "property_id": 123},
# {"date": "20221231", "totalUsers": 125, "property_id": 123},
# {"date": "20230101", "totalUsers": 140, "property_id": 123},
# {"date": "20230102", "totalUsers": 150, "property_id": 123},
# ]

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