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EnvironmentResponse

Environment response schema with runtime details

Properties

Name Type Description Notes
env_name str Environment name
status str Environment status [optional]
running_count int Number of running tasks [optional]
desired_count int Desired number of tasks [optional]
min_capacity int Minimum capacity for autoscaling [optional]
max_capacity int Maximum capacity for autoscaling [optional]
public_ip_address str Public IP address for SSH access [optional]
deployment_status str Current deployment status. FAILED indicates the most recent deployment did not complete successfully. [optional]
deployment_failure_type str Type of deployment failure when deploymentStatus is FAILED (e.g., 'ECS_DEPLOYMENT_CIRCUIT_BREAKER', 'IMAGE_PULL_ERROR') [optional]
deployment_failure_reason str Human-readable explanation of why the deployment failed. Contains details such as wrong image architecture, missing image, or container startup errors. [optional]
task_definition object ECS task definition details [optional]
service object ECS service details [optional]
load_balancer object Load balancer configuration [optional]
security_group object Security group configuration [optional]
subnet object Subnet configuration [optional]
vpc object VPC configuration [optional]
containers List[object] Container configurations [optional]
volumes List[Volume] Persistent storage volumes [optional]
cron List[Cron] Scheduled cron jobs [optional]
alb_routing object ALB routing configuration [optional]
created_at datetime Creation timestamp [optional]
updated_at datetime Last update timestamp [optional]

Example

from quantcdn.models.environment_response import EnvironmentResponse

# TODO update the JSON string below
json = "{}"
# create an instance of EnvironmentResponse from a JSON string
environment_response_instance = EnvironmentResponse.from_json(json)
# print the JSON string representation of the object
print(EnvironmentResponse.to_json())

# convert the object into a dict
environment_response_dict = environment_response_instance.to_dict()
# create an instance of EnvironmentResponse from a dict
environment_response_from_dict = EnvironmentResponse.from_dict(environment_response_dict)

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