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)
