Creates an environment and starts its validation and any requested provisioning. Storage provisioning and dependency checks may continue after the initial 201 response; use GetEnvironment to observe completion.
Parameters:
Raises:
-
AccessDeniedException
–
The request is not authorized. Verify that your credentials and request signature are valid and that you have permission to perform this action.
-
ConflictException
–
The request could not be completed due to a conflict with the current state of the resource.
-
InternalServerException
–
The request couldn't be processed because of an internal server issue. Try again later. If the problem persists, contact AWS Support.
-
ResourceNotFoundException
–
The specified resource was not found. Verify that the resource identifier is correct and that the resource exists.
-
ServiceQuotaExceededException
–
The request would exceed a service quota. Review your quota and request an increase if needed.
-
ThrottlingException
–
The request was denied due to request throttling.
-
UnknownServiceError
–
The service returned an error code this client does not model.
Source code in docs_src/capo_continuum/_services/continuum.py
| def create_environment(
self,
name: "capo_continuum.types.environment_name.EnvironmentName",
*,
config_overrides: Optional[ContinuumClientConfig] = None,
configuration: Optional[
"capo_continuum.types.create_environment_configuration.CreateEnvironmentConfiguration"
] = None,
) -> "capo_continuum.types.create_environment_output.CreateEnvironmentOutput":
"""Creates an environment and starts its validation and any requested provisioning. Storage provisioning and dependency checks may continue after the initial 201 response; use GetEnvironment to observe completion.
Args:
name: The customer-visible name of the environment.
configuration: Type-specific configuration. Omission creates a code environment with the default operating policy and no sources.
Raises:
capo_continuum.errors.access_denied_exception.AccessDeniedException: The request is not authorized. Verify that your credentials and request signature are valid and that you have permission to perform this action.
capo_continuum.errors.conflict_exception.ConflictException: The request could not be completed due to a conflict with the current state of the resource.
capo_continuum.errors.internal_server_exception.InternalServerException: The request couldn't be processed because of an internal server issue. Try again later. If the problem persists, contact AWS Support.
capo_continuum.errors.resource_not_found_exception.ResourceNotFoundException: The specified resource was not found. Verify that the resource identifier is correct and that the resource exists.
capo_continuum.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: The request would exceed a service quota. Review your quota and request an increase if needed.
capo_continuum.errors.throttling_exception.ThrottlingException: The request was denied due to request throttling.
capo_continuum.errors.validation_exception.ValidationException
capo_continuum.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_continuum.types.create_environment_input.CreateEnvironmentInput]",
) -> OperationResponse[
"capo_continuum.types.create_environment_output.CreateEnvironmentOutput"
]:
import capo_continuum._operations.continuum_control_plane.create_environment
output, http_response = (
capo_continuum._operations.continuum_control_plane.create_environment.create_environment(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("CreateEnvironment")
)
input_: capo_continuum.types.create_environment_input.CreateEnvironmentInput = {
"name": name
}
if configuration is not None:
input_["configuration"] = configuration
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|