Added snippet file

docs/docusaurus/versioned_docs/version-0.18/cloud/connect/0.18-airflow_example_dag.py

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+# <snippet name="cloud/connect/0.18-airflow_example_dag.py full example code">
+import os
+
+import pendulum
+from airflow.decorators import dag, task
+
+import great_expectations as gx
+
+
+@dag(
+    schedule=None,
+    start_date=pendulum.datetime(2023, 8, 9),
+    catchup=False,
+)
+def gx_dag_with_deco():
+    os.environ["NO_PROXY"] = "*"  # https://github.com/apache/airflow/discussions/24463
+    print("Great Expectations DAG Started")
+
+    @task
+    def run_checkpoint():
+        print("Running Checkpoint")
+        # Replace <YOUR_ACCESS_TOKEN>, <YOUR_CLOUD_ORGANIZATION_ID>, and <CHECKPOINT_NAME> with your credentials
+        # You can also set GX_CLOUD_ACCESS_TOKEN and GX_CLOUD_ORGANIZATION_ID as environment variables
+        GX_CLOUD_ACCESS_TOKEN = "<YOUR_ACCESS_TOKEN>"
+        GX_CLOUD_ORGANIZATION_ID = "<YOUR_CLOUD_ORGANIZATION_ID>"
+        # alternativey set CHECKPOINT_NAME to be a runtime parameter
+        CHECKPOINT_NAME = "<CHECKPOINT_NAME>"
+        context = gx.get_context(
+            cloud_access_token=GX_CLOUD_ACCESS_TOKEN,
+            cloud_organization_id=GX_CLOUD_ORGANIZATION_ID,
+        )
+        checkpoint = context.get_checkpoint(name=CHECKPOINT_NAME)
+        checkpoint.run()
+        return f"Checkpoint ran: {CHECKPOINT_NAME}"
+
+    run_checkpoint()
+
+
+run_this = gx_dag_with_deco()