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Posted to commits@airflow.apache.org by po...@apache.org on 2021/12/30 16:18:55 UTC

[airflow] branch main updated: Fix Google mlengine MyPy errors (#20569)

This is an automated email from the ASF dual-hosted git repository.

potiuk pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/airflow.git


The following commit(s) were added to refs/heads/main by this push:
     new dda6887  Fix Google mlengine MyPy errors (#20569)
dda6887 is described below

commit dda688776c196eea708abfda0462af6c92809031
Author: Jarek Potiuk <ja...@potiuk.com>
AuthorDate: Thu Dec 30 17:18:25 2021 +0100

    Fix Google mlengine MyPy errors (#20569)
    
    Part of #19891
---
 airflow/providers/google/cloud/operators/mlengine.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/airflow/providers/google/cloud/operators/mlengine.py b/airflow/providers/google/cloud/operators/mlengine.py
index 777ac10..ecd813d 100644
--- a/airflow/providers/google/cloud/operators/mlengine.py
+++ b/airflow/providers/google/cloud/operators/mlengine.py
@@ -19,7 +19,7 @@
 import logging
 import re
 import warnings
-from typing import TYPE_CHECKING, Dict, List, Optional, Sequence, Union
+from typing import TYPE_CHECKING, Any, Dict, List, Optional, Sequence, Union
 
 from airflow.exceptions import AirflowException
 from airflow.models import BaseOperator, BaseOperatorLink
@@ -243,7 +243,7 @@ class MLEngineStartBatchPredictionJobOperator(BaseOperator):
 
     def execute(self, context: 'Context'):
         job_id = _normalize_mlengine_job_id(self._job_id)
-        prediction_request = {
+        prediction_request: Dict[str, Any] = {
             'jobId': job_id,
             'predictionInput': {
                 'dataFormat': self._data_format,
@@ -1237,7 +1237,7 @@ class MLEngineStartTrainingJobOperator(BaseOperator):
 
     def execute(self, context: 'Context'):
         job_id = _normalize_mlengine_job_id(self._job_id)
-        training_request = {
+        training_request: Dict[str, Any] = {
             'jobId': job_id,
             'trainingInput': {
                 'scaleTier': self._scale_tier,