How to use describe_automation_executions method in localstack

Best Python code snippet using localstack_python

ec2_patching_with_ssm.py

Source:ec2_patching_with_ssm.py Github

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...57 "19-10-2021"58 ]59 })60# Get AMI creation status61response = client.describe_automation_executions(62 Filters=[63 {64 'Key': 'ExecutionId',65 'Values': [execution_response['AutomationExecutionId']]66 },67 ],68 MaxResults=50,69)70while response['AutomationExecutionMetadataList'][0]['AutomationExecutionStatus'] in ["Pending","InProgress"]:71 print("Image creation in progress")72 time.sleep(10)73 response = client.describe_automation_executions(Filters=[{'Key': 'ExecutionId','Values': [execution_response['AutomationExecutionId']]},],MaxResults=50)74if response['AutomationExecutionMetadataList'][0]['AutomationExecutionStatus'] != "Success": 75 print("Image creation failed")76else:77 print("Image creation completed")78#Patch instance79print("Patching started")80response=client.send_command(81 InstanceIds=['i-08d4c52a7c56db0bc'],82 DocumentName='AWS-RunPatchBaseline',83 DocumentVersion='$LATEST',84 TimeoutSeconds=900,85 Parameters={86 'Operation': [87 'Install'...

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describe_ssm_automation_executions.py

Source:describe_ssm_automation_executions.py Github

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...15 automation_executions_client = boto3.client('ssm', region_name = j )16 17 next_token = None18 while True:19 response1 = automation_executions_client.describe_automation_executions(20 NextToken= next_token21 ) if next_token else automation_executions_client.describe_automation_executions()22 print(response1['AutomationExecutionMetadataList']) 23 for j in response1['AutomationExecutionMetadataList']:24 25 26 print(j['AutomationExecutionId']) 27 automation_execution_id.append(j['AutomationExecutionId'])28 29 status_var = j['AutomationExecutionStatus']30 # print(status_var)31 rank = 032 if status_var == "Success":33 rank = 134 if status_var == "Failed":35 rank = 2 ...

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ssm_dev.py

Source:ssm_dev.py Github

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...30 execution_id = response['AutomationExecutionId']31 32 33 while True:34 checker = client.describe_automation_executions(35 Filters=[36 {37 'Key': 'ExecutionId',38 'Values': [execution_id]39 },40 ]41 )42 checker = checker['AutomationExecutionMetadataList'][0]['AutomationExecutionStatus']43 if checker in ['InProgress','Waiting','Cancelling']:44 time.sleep(10)45 elif checker == 'Pending':46 pass47 elif checker == 'Cancelled':48 system.exit('execution stopped!')49 elif checker == 'Success':50 break51 else:52 sys.exit(0)53 54 execution_result = client.describe_automation_executions(55 Filters=[56 {57 'Key': 'ExecutionId',58 'Values': [execution_id]59 },60 ]61 )62 response = execution_result['AutomationExecutionMetadataList'][0]['Outputs']63 module.exit_json(changed=True, meta=response)64if __name__ == '__main__':...

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