Help Center/ Workspace/ API Reference/ Workspace Application Streaming APIs/ Application Repository Management/ Querying User Application Repository Buckets
Updated on 2026-05-21 GMT+08:00
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Querying User Application Repository Buckets

Function

Queries user application repository buckets.

Debugging

You can debug this API through automatic authentication in API Explorer or use the SDK sample code generated by API Explorer.

Authorization Information

Each account has all the permissions required to call all APIs, but IAM users must be assigned the required permissions.

  • If you are using role/policy-based authorization, see Permissions Policies and Supported Actions for details on the required permissions.
  • If you are using identity policy-based authorization, the following identity policy-based permissions are required.

    Action

    Access Level

    Resource Type (*: required)

    Condition Key

    Alias

    Dependencies

    workspace:appWarehouse:getBucket

    Read

    -

    -

    -

    -

URI

GET /v1/{project_id}/app-warehouse/bucket

Table 1 Path Parameters

Parameter

Mandatory

Type

Description

project_id

Yes

String

Project ID.

Request Parameters

Table 2 Request header parameters

Parameter

Mandatory

Type

Description

X-Auth-Token

No

String

User token

It can be obtained by calling the IAM API used to obtain a user token. The value of X-Subject-Token in the response header is the user token.

Response Parameters

Status code: 200

Table 3 Response body parameters

Parameter

Type

Description

id

String

Unique ID.

bucket_name

String

Bucket name

is_user_create_bucket

Boolean

Whether the bucket is created by the user.

update_time

String

Time when the bucket record is updated.

Status code: 400

Table 4 Response body parameters

Parameter

Type

Description

error_code

String

Error code, which is returned upon failure.

error_msg

String

Error message.

Status code: 401

Table 5 Response body parameters

Parameter

Type

Description

error_code

String

Error code, which is returned upon failure.

error_msg

String

Error message.

Status code: 403

Table 6 Response body parameters

Parameter

Type

Description

error_code

String

Error code, which is returned upon failure.

error_msg

String

Error message.

Status code: 404

Table 7 Response body parameters

Parameter

Type

Description

error_code

String

Error code, which is returned upon failure.

error_msg

String

Error message.

Status code: 405

Table 8 Response body parameters

Parameter

Type

Description

error_code

String

Error code, which is returned upon failure.

error_msg

String

Error message.

Status code: 415

Table 9 Response body parameters

Parameter

Type

Description

error_code

String

Error code, which is returned upon failure.

error_msg

String

Error message.

Status code: 500

Table 10 Response body parameters

Parameter

Type

Description

error_code

String

Error code, which is returned upon failure.

error_msg

String

Error message.

Status code: 503

Table 11 Response body parameters

Parameter

Type

Description

error_code

String

Error code, which is returned upon failure.

error_msg

String

Error message.

Example Requests

None

Example Responses

Status code: 200

Response to a successful request.

{
  "id" : "439d64d37c8b495f97bc0d1662a36485",
  "bucket_name" : "my-bucket-name",
  "is_user_create_bucket" : true,
  "update_time" : "2016-03-28T00:00:00Z"
}

Status Codes

Status Code

Description

200

Response to a successful request.

400

The request cannot be understood by the server due to malformed syntax.

401

Authentication failed.

403

Permissions required.

404

No resources found.

405

The request method is not allowed.

415

The requested resource format is not supported.

500

An internal service error occurred. For details, see the error code description.

503

Service unavailable.

Error Codes

See Error Codes.