Retrieve a JSON array of all available Job engine versions and the date they expire.
Parameters:
-
max_results
(Optional[__integerMin1Max20], default:
None
)
–
Optional. Number of valid Job engine versions, up to twenty, that will be returned at one time.
-
next_token
(Optional[__string], default:
None
)
–
Optional. Use this string, provided with the response to a previous request, to request the next batch of Job engine versions.
Raises:
-
BadRequestException
–
The service can't process your request because of a problem in the request. Please check your request form and syntax.
-
ConflictException
–
The service couldn't complete your request because there is a conflict with the current state of the resource.
-
ForbiddenException
–
You don't have permissions for this action with the credentials you sent.
-
InternalServerErrorException
–
The service encountered an unexpected condition and can't fulfill your request.
-
NotFoundException
–
The resource you requested doesn't exist.
-
ServiceQuotaExceededException
–
You attempted to create more resources than the service allows based on service quotas.
-
TooManyRequestsException
–
Too many requests have been sent in too short of a time. The service limits the rate at which it will accept requests.
-
UnknownServiceError
–
The service returned an error code this client does not model.
Source code in docs_src/capo_mediaconvert/_services/media_convert.py
| def list_versions(
self,
*,
config_overrides: Optional[MediaConvertClientConfig] = None,
max_results: Optional[
"capo_mediaconvert.types.__integer_min1_max20.__integerMin1Max20"
] = None,
next_token: Optional["capo_mediaconvert.types.__string.__string"] = None,
) -> "capo_mediaconvert.types.list_versions_response.ListVersionsResponse":
"""Retrieve a JSON array of all available Job engine versions and the date they expire.
Args:
max_results: Optional. Number of valid Job engine versions, up to twenty, that will be returned at one time.
next_token: Optional. Use this string, provided with the response to a previous request, to request the next batch of Job engine versions.
Raises:
capo_mediaconvert.errors.bad_request_exception.BadRequestException: The service can't process your request because of a problem in the request. Please check your request form and syntax.
capo_mediaconvert.errors.conflict_exception.ConflictException: The service couldn't complete your request because there is a conflict with the current state of the resource.
capo_mediaconvert.errors.forbidden_exception.ForbiddenException: You don't have permissions for this action with the credentials you sent.
capo_mediaconvert.errors.internal_server_error_exception.InternalServerErrorException: The service encountered an unexpected condition and can't fulfill your request.
capo_mediaconvert.errors.not_found_exception.NotFoundException: The resource you requested doesn't exist.
capo_mediaconvert.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: You attempted to create more resources than the service allows based on service quotas.
capo_mediaconvert.errors.too_many_requests_exception.TooManyRequestsException: Too many requests have been sent in too short of a time. The service limits the rate at which it will accept requests.
capo_mediaconvert.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_mediaconvert.types.list_versions_request.ListVersionsRequest]",
) -> OperationResponse[
"capo_mediaconvert.types.list_versions_response.ListVersionsResponse"
]:
import capo_mediaconvert._operations.media_convert.list_versions
output, http_response = (
capo_mediaconvert._operations.media_convert.list_versions.list_versions(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("ListVersions")
)
input_: capo_mediaconvert.types.list_versions_request.ListVersionsRequest = {}
if max_results is not None:
input_["max_results"] = max_results
if next_token is not None:
input_["next_token"] = next_token
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|