Send recalibrated data to events api

src/workflows/dags/airqo_measurements.py

@@ -1,6 +1,6 @@
 from airflow.decorators import dag, task
 import pandas as pd
-from typing import Tuple
+from typing import Tuple, Generator
 
 from airqo_etl_utils.config import configuration as Config
 from airqo_etl_utils.workflows_custom_utils import AirflowUtils
@@ -700,15 +700,17 @@ def extract_devices_missing_calibrated_data(**kwargs) -> Tuple[pd.DataFrame, str
         return devices
 
     @task(retries=3, retry_delay=timedelta(minutes=5))
-    def extract_calibrate_send_hourly_measurements_to_bigquery(
-        devices: pd.DataFrame,
+    def extract_calibrate_data(devices: pd.DataFrame):
+        return AirQoDataUtils.extract_aggregate_calibrate_raw_data(devices)
+
+    @task(retries=3, retry_delay=timedelta(minutes=5))
+    def send_hourly_measurements_to_bigquery(
+        calibrated_data: Generator,
     ) -> None:
         big_query_api = BigQueryApi()
-        for calibrated_data in AirQoDataUtils.extract_aggregate_calibrate_raw_data(
-            devices
-        ):
+        for data_ in calibrated_data:
             data = DataUtils.format_data_for_bigquery(
-                calibrated_data,
+                data_,
                 DataType.AVERAGED,
                 DeviceCategory.GENERAL,
                 Frequency.HOURLY,
@@ -719,8 +721,21 @@ def extract_calibrate_send_hourly_measurements_to_bigquery(
                 where_fields={"device_id": data.iloc[0].device_id},
             )
 
+    @task(retries=3, retry_delay=timedelta(minutes=5))
+    def send_hourly_measurements_to_api(calibrated_data: Generator) -> None:
+        from airqo_etl_utils.airqo_api import AirQoApi
+
+        data = DataUtils.process_data_for_api(
+            calibrated_data, frequency=Frequency.HOURLY
+        )
+
+        airqo_api = AirQoApi()
+        airqo_api.save_events(measurements=data)
+
     devices = extract_devices_missing_calibrated_data()
-    extract_calibrate_send_hourly_measurements_to_bigquery(devices)
+    calibrated_data = extract_calibrate_data(devices)
+    send_hourly_measurements_to_bigquery(calibrated_data)
+    send_hourly_measurements_to_api(calibrated_data)
 
 
 airqo_historical_hourly_measurements()