Disable daily run of master dag for integration tests (#2130)

Since we're not actively developing here, it makes sense to turn off 
the daily schedule of the master DAG (integration tests) to save up 
on the cloud resources that get spunned off from the master DAG.

We do have example DAG run in CI for each new PR, and additionally 
mechanism to tests RCs to guarantee catching of regressions.

python-sdk/tests_integration/astro_deploy/master_dag.py

@@ -2,7 +2,7 @@
 import os
 import time
 from datetime import datetime
-from typing import Any, List
+from typing import TYPE_CHECKING, Any, List
 
 from airflow import DAG, settings
 from airflow.models import Connection, DagRun
@@ -14,11 +14,13 @@
 from airflow.providers.slack.operators.slack_webhook import SlackWebhookOperator
 from airflow.utils.session import create_session
 
+if TYPE_CHECKING:
+    from airflow.models.taskinstance import TaskInstance
+
+
 SLACK_CHANNEL = os.getenv("SLACK_CHANNEL", "#provider-alert")
 SLACK_WEBHOOK_CONN = os.getenv("SLACK_WEBHOOK_CONN", "http_slack")
 SLACK_USERNAME = os.getenv("SLACK_USERNAME", "airflow_app")
-IS_RUNTIME_RELEASE = os.getenv("IS_RUNTIME_RELEASE", default="False")
-IS_RUNTIME_RELEASE = bool(IS_RUNTIME_RELEASE)
 AWS_S3_CREDS = {
     "aws_access_key_id": os.getenv("AWS_ACCESS_KEY_ID", "not_set"),
     "aws_secret_access_key": os.getenv("AWS_SECRET_ACCESS_KEY", "not_set"),
@@ -243,13 +245,9 @@ def terminate_instance(task_instance: "TaskInstance") -> None:  # noqa: F821
     )
 
 
-if IS_RUNTIME_RELEASE:
-    schedule_interval = None
-else:
-    schedule_interval = "@daily"
 with DAG(
     dag_id="example_master_dag",
-    schedule_interval=schedule_interval,
+    schedule_interval=None,
     start_date=datetime(2023, 1, 1),
     catchup=False,
     tags=["master_dag"],

python-sdk/tests_integration/astro_deploy/master_dag_single_worker.py

@@ -84,7 +84,7 @@ def prepare_dag_dependency(task_info, execution_time):
 
 with DAG(
     dag_id="example_master_dag_single_worker",
-    schedule_interval="@daily",
+    schedule_interval=None,
     start_date=datetime(2023, 1, 1),
     catchup=False,
     tags=["master_dag_single_worker"],