`CloudComposerDAGRunSensor` returns success when no Dag runs found in `execution_range`

### Apache Airflow version 2.11.0 ### If "Other Airflow 2/3 version" selected, which one? _No response_ ### What happened? Summary: CloudComposerDAGRunSensor incorrectly returns True (success) when no DAG runs exist within the specified execution_range, potentially causing downstream tasks to execute without the expected upstream dependencies being met. ### What you think should happen instead? The sensor should only return True when: 1. At least one DAG run exists within the execution_range, AND 2. All DAG runs within that range are in allowed_states If no runs exist in the time window, the sensor should return False (continue waiting). **Actual Behavior** The sensor returns True even when no DAG runs exist within the execution_range, causing downstream tasks to proceed without the expected dependency being met. **Impact** This bug can cause serious production issues: 1. Silent Data Pipeline Failures: Downstream tasks execute without required upstream data 2. Data Corruption: Tasks process incomplete or missing datasets 3. No Error Alerts: The sensor succeeds silently, providing no indication of the missing dependency 4. Difficult to Debug: The issue only manifests as data inconsistencies, not task failures **Real-World Scenario** # Daily ETL pipeline on Astronomer depends on Composer DAG ```python wait_for_composer = CloudComposerDAGRunSensor( composer_dag_id="daily_data_ingestion", execution_range=[yesterday_9am, yesterday_5pm], # Yesterday's business hours ) ``` If the Composer DAG _daily_data_ingestion_ never ran yesterday: - ❌ Buggy Behavior: Sensor returns True → Downstream ETL proceeds with no data → Data corruption - ✅ Expected Behavior: Sensor returns False → Keeps waiting → Eventually times out with clear error ### How to reproduce **Steps to Reproduce** **1. Create Test DAG** ```python from airflow.decorators import dag from airflow.providers.google.cloud.sensors.cloud_composer import CloudComposerDAGRunSensor from datetime import datetime, time…