def _refresh_dag_dir(self): """ Refresh file paths from dag dir if we haven't done it for too long. """ now = timezone.utcnow() elapsed_time_since_refresh = (now - self.last_dag_dir_refresh_time).total_seconds() if elapsed_time_since_refresh > self.dag_dir_list_interval: # Build up a list of Python files that could contain DAGs self.log.info("Searching for files in %s", self._dag_directory) self._file_paths = list_py_file_paths(self._dag_directory) self.last_dag_dir_refresh_time = now self.log.info("There are %s files in %s", len(self._file_paths), self._dag_directory) self.set_file_paths(self._file_paths) # noinspection PyBroadException try: self.log.debug("Removing old import errors") self.clear_nonexistent_import_errors() # pylint: disable=no-value-for-parameter except Exception: # pylint: disable=broad-except self.log.exception("Error removing old import errors") if STORE_SERIALIZED_DAGS: from airflow.models.serialized_dag import SerializedDagModel from airflow.models.dag import DagModel SerializedDagModel.remove_deleted_dags(self._file_paths) DagModel.deactivate_deleted_dags(self._file_paths) if self.store_dag_code: from airflow.models.dagcode import DagCode DagCode.remove_deleted_code(self._file_paths)
def _refresh_dag_dir(self): """ Refresh file paths from dag dir if we haven't done it for too long. """ airflow_home = os.getenv("AIRFLOW_HOME", "/usr/lib/airflow") now = timezone.utcnow() elapsed_time_since_refresh = ( now - self.last_dag_dir_refresh_time).total_seconds() if elapsed_time_since_refresh > self.dag_dir_list_interval or os.path.exists( airflow_home + "/scheduler.refresh"): # Build up a list of Python files that could contain DAGs self.log.info("Searching for files in %s", self._dag_directory) self._file_paths = list_py_file_paths(self._dag_directory) self.last_dag_dir_refresh_time = now self.log.info("There are %s files in %s", len(self._file_paths), self._dag_directory) self.set_file_paths(self._file_paths) # noinspection PyBroadException try: self.log.debug("Removing old import errors") self.clear_nonexistent_import_errors() # pylint: disable=no-value-for-parameter os.remove(airflow_home + "/scheduler.refresh") self.logger.info("Refresh Dags of scheduler triggered") except Exception: # pylint: disable=broad-except self.log.exception("Error removing old import errors") if STORE_SERIALIZED_DAGS: from airflow.models.serialized_dag import SerializedDagModel from airflow.models.dag import DagModel SerializedDagModel.remove_deleted_dags(self._file_paths) DagModel.deactivate_deleted_dags(self._file_paths)