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Subject [GitHub] [airflow] kaxil commented on a change in pull request #6596: [AIRFLOW-6004] Untangle Executors class to avoid cyclic imports. Depends on [AIRFLOW-6010]
Date Mon, 25 Nov 2019 18:48:54 GMT
kaxil commented on a change in pull request #6596: [AIRFLOW-6004] Untangle Executors class
to avoid cyclic imports. Depends on [AIRFLOW-6010]
URL: https://github.com/apache/airflow/pull/6596#discussion_r350359901
 
 

 ##########
 File path: airflow/executors/base_executor.py
 ##########
 @@ -16,67 +14,82 @@
 # KIND, either express or implied.  See the License for the
 # specific language governing permissions and limitations
 # under the License.
-
+"""Base executor."""
 from collections import OrderedDict
+from queue import Queue
+from typing import Any, Dict, Optional, Set, Tuple
 
-# To avoid circular imports
-import airflow.utils.dag_processing
-from airflow.configuration import conf
+from airflow import AirflowException, LoggingMixin, conf
+from airflow.executors.executor_type_aliases import CommandType, ExecutorKeyType
+from airflow.models import TaskInstance
 from airflow.stats import Stats
-from airflow.utils.log.logging_mixin import LoggingMixin
+from airflow.utils.dag_processing import SimpleTaskInstance
 from airflow.utils.state import State
 
-PARALLELISM = conf.getint('core', 'PARALLELISM')
+PARALLELISM: int = conf.getint('core', 'PARALLELISM')
 
 
 class BaseExecutor(LoggingMixin):
-
-    def __init__(self, parallelism=PARALLELISM):
-        """
-        Class to derive in order to interface with executor-type systems
-        like Celery, Yarn and the likes.
-
-        :param parallelism: how many jobs should run at one time. Set to
-            ``0`` for infinity
-        :type parallelism: int
-        """
-        self.parallelism = parallelism
-        self.queued_tasks = OrderedDict()
-        self.running = {}
-        self.event_buffer = {}
+    """
+    Class to derive in order to interface with executor-type systems
+    like Celery, Yarn and the likes.
+
+    :param parallelism: how many jobs should run at one time. Set to
+        ``0`` for infinity
+    :type parallelism: int
+    """
+
+    def __init__(self, parallelism: int = PARALLELISM):
+        super().__init__()
+        self.parallelism: int = parallelism
+        self.queued_tasks: OrderedDict[
+            ExecutorKeyType,
+            Tuple[CommandType, int, Queue, SimpleTaskInstance]] \
+            = OrderedDict()
+        self.running: Set[ExecutorKeyType] = set()
+        self.event_buffer: Dict[ExecutorKeyType, str] = {}
 
     def start(self):  # pragma: no cover
         """
-        Executors may need to get things started. For example LocalExecutor
-        starts N workers.
+        Executors may need to get things started.
         """
 
-    def queue_command(self, simple_task_instance, command, priority=1, queue=None):
+    def queue_command(self,
+                      simple_task_instance: SimpleTaskInstance,
+                      command_to_run: CommandType,
+                      priority: int = 1,
+                      queue: Optional[Queue] = None):
+        """Queues command to task"""
         key = simple_task_instance.key
-        if key not in self.queued_tasks and key not in self.running:
-            self.log.info("Adding to queue: %s", command)
-            self.queued_tasks[key] = (command, priority, queue, simple_task_instance)
+        if key not in self.queued_tasks.keys() and key not in self.running:
+            self.log.info("Adding to queue: %s", command_to_run)
+            if not queue:
 
 Review comment:
   `queue` is an optional param in this method. So if it is None we should not raise an error

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