airflow/api/common/experimental/get_dag_runs.py
def get_dag_runs(dag_id, state=None):
    """
    Returns a list of Dag Runs for a specific DAG ID.
    :param dag_id: String identifier of a DAG
    :param state: queued|running|success...
    :return: List of DAG runs of a DAG with requested state,
    or all runs if the state is not specified
    """
    dagbag = DagBag()

    # Check DAG exists.
    if dag_id not in dagbag.dags:
        error_message = "Dag id {} not found".format(dag_id)
        raise AirflowException(error_message)

    dag_runs = list()
    state = state.lower() if state else None
    for run in DagRun.find(dag_id=dag_id, state=state):
        dag_runs.append({
            'id': run.id,
            'run_id': run.run_id,
            'state': run.state,
            'dag_id': run.dag_id,
            'execution_date': run.execution_date.isoformat(),
            'start_date': ((run.start_date or '') and
                           run.start_date.isoformat()),
            'dag_run_url': url_for('Airflow.graph', dag_id=run.dag_id,
                                   execution_date=run.execution_date)
        })

    return dag_runs
def get_dag_runs(dag_id, state=None):
    """
    Returns a list of Dag Runs for a specific DAG ID.
    :param dag_id: String identifier of a DAG
    :param state: queued|running|success...
    :return: List of DAG runs of a DAG with requested state,
    or all runs if the state is not specified
    """
    dagbag = DagBag()

    # Check DAG exists.
    if dag_id not in dagbag.dags:
        error_message = "Dag id {} not found".format(dag_id)
        raise AirflowException(error_message)

    dag_runs = list()
    state = state.lower() if state else None
    for run in DagRun.find(dag_id=dag_id, state=state):
        dag_runs.append({
            'id': run.id,
            'run_id': run.run_id,
            'state': run.state,
            'dag_id': run.dag_id,
            'execution_date': run.execution_date.isoformat(),
            'start_date': ((run.start_date or '') and
                           run.start_date.isoformat()),
            'dag_run_url': url_for('Airflow.graph', dag_id=run.dag_id,
                                   execution_date=run.execution_date)
        })

    return dag_runs
Returns a list of Dag Runs for a specific DAG ID.
    :param dag_id: String identifier of a DAG
    :param state: queued|running|success...
    :return: List of DAG runs of a DAG with requested state,
    or all runs if the state is not specified