Retrieves the list of style learning analysis results.
Operation description
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RAM authorization
The table below describes the authorization required to call this API. You can define it in a Resource Access Management (RAM) policy. The table's columns are detailed below:
-
Action: The actions can be used in the
Actionelement of RAM permission policy statements to grant permissions to perform the operation. - API: The API that you can call to perform the action.
- Access level: The predefined level of access granted for each API. Valid values: create, list, get, update, and delete.
-
Resource type: The type of the resource that supports authorization to perform the action. It indicates if the action supports resource-level permission. The specified resource must be compatible with the action. Otherwise, the policy will be ineffective.
- For APIs with resource-level permissions, required resource types are marked with an asterisk (*). Specify the corresponding Alibaba Cloud Resource Name (ARN) in the
Resourceelement of the policy. - For APIs without resource-level permissions, it is shown as All Resources. Use an asterisk (*) in the
Resourceelement of the policy.
- For APIs with resource-level permissions, required resource types are marked with an asterisk (*). Specify the corresponding Alibaba Cloud Resource Name (ARN) in the
- Condition key: The condition keys defined by the service. The key allows for granular control, applying to either actions alone or actions associated with specific resources. In addition to service-specific condition keys, Alibaba Cloud provides a set of common condition keys applicable across all RAM-supported services.
- Dependent action: The dependent actions required to run the action. To complete the action, the RAM user or the RAM role must have the permissions to perform all dependent actions.
Action | Access level | Resource type | Condition key | Dependent action |
|---|---|---|---|---|
aimiaobi:ListStyleLearningResult | list | *All Resource
| None | None |
Request parameters
Parameter | Type | Required | Description | Example |
|---|---|---|---|---|
| AgentKey | string | Yes | Unique identifier of the workspace: AgentKey | xxxxx_p_efm |
| Current | integer | No | Page number | 1 |
| Size | integer | No | Number of items per page. Default is 10. | 10 |
Response elements
Element | Type | Description | Example |
|---|---|---|---|
object | Page result | ||
| Code | string | Status code | NoData |
| Current | integer | Page number | 1 |
| Data | array<object> | List of style learning analysis results | |
object | Business data | ||
| AigcResult | string | AIGC-generated content | AIGC-generated content |
| Id | integer | ID of the style learning analysis result | 70 |
| RewriteResult | string | Revised content | Revised content |
| StyleName | string | Style name | Style name |
| TaskId | string | Task ID used for style analysis | 3f7045e099474ba28ceca1b4eb6d6e21 |
| HttpStatusCode | integer | HTTP status code | 200 |
| Message | string | Error message | success |
| RequestId | string | Unique request ID | 1813ceee-7fe5-41b4-87e5-982a4d18cca5 |
| Size | integer | Number of items per page | 10 |
| Success | boolean | Indicates success. Returns true on success and false on failure. | true |
| Total | integer | Total number of items | 100 |
Examples
Success response
JSON format