feat: manually mirror opencoze's code from bytedance
Change-Id: I09a73aadda978ad9511264a756b2ce51f5761adf
This commit is contained in:
fanlv
@@ -0,0 +1,167 @@
|
||||
/*
|
||||
* Copyright 2025 coze-dev Authors
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
import { convertModelParamsToSchema } from '../src/utils/model/convert-model-params-to-schema';
|
||||
import {
|
||||
ModelFormComponent,
|
||||
ModelFormVoidFieldComponent,
|
||||
} from '../src/constant/model-form-component';
|
||||
import modelParams from './model-params.json';
|
||||
|
||||
vi.mock('@coze-studio/bot-detail-store/multi-agent', () => ({}));
|
||||
vi.mock('@coze-studio/bot-detail-store/model', () => ({}));
|
||||
vi.mock('@coze-studio/bot-detail-store/bot-info', () => ({}));
|
||||
|
||||
describe('convert-model-params-to-schema', () => {
|
||||
it('should convert correctly', () => {
|
||||
const res = convertModelParamsToSchema({ model_params: modelParams });
|
||||
expect(res).toStrictEqual({
|
||||
type: 'object',
|
||||
properties: {
|
||||
1: {
|
||||
type: 'void',
|
||||
'x-decorator':
|
||||
ModelFormVoidFieldComponent.ModelFormGenerationDiversityGroupItem,
|
||||
'x-decorator-props': {
|
||||
title: '生成多样性',
|
||||
},
|
||||
'x-index': 1,
|
||||
properties: {
|
||||
temperature: {
|
||||
type: 'number',
|
||||
'x-component': ModelFormComponent.SliderInputNumber,
|
||||
'x-component-props': {
|
||||
max: 2,
|
||||
min: 0,
|
||||
step: 0.01,
|
||||
decimalPlaces: 2,
|
||||
},
|
||||
'x-decorator': ModelFormComponent.ModelFormItem,
|
||||
'x-decorator-props': {
|
||||
label: '回复随机性',
|
||||
popoverContent:
|
||||
'即 Temperature，较高的 Temperature 会让模型生成更多样和创新的文本，反之生成内容会更加保守且类似于训练数据。',
|
||||
},
|
||||
'x-index': 1,
|
||||
},
|
||||
top_p: {
|
||||
type: 'number',
|
||||
'x-component': ModelFormComponent.SliderInputNumber,
|
||||
'x-component-props': {
|
||||
max: 1,
|
||||
min: 0,
|
||||
step: 0.01,
|
||||
decimalPlaces: 2,
|
||||
},
|
||||
'x-decorator': ModelFormComponent.ModelFormItem,
|
||||
'x-decorator-props': {
|
||||
label: 'Top P',
|
||||
popoverContent:
|
||||
'设定Top p概率阈值，模型在生成文本时只从概率超过阈值的词汇中选择，从而控制文本的多样性',
|
||||
},
|
||||
'x-index': 2,
|
||||
},
|
||||
frequency_penalty: {
|
||||
type: 'number',
|
||||
'x-component': ModelFormComponent.SliderInputNumber,
|
||||
'x-component-props': {
|
||||
max: 2,
|
||||
min: -2,
|
||||
step: 0.01,
|
||||
decimalPlaces: 2,
|
||||
},
|
||||
'x-decorator': ModelFormComponent.ModelFormItem,
|
||||
'x-decorator-props': {
|
||||
label: '重复词汇惩罚',
|
||||
popoverContent:
|
||||
'当该值为正时，它会降低已出现词汇的重复率，进而提高模型输出词汇的多样性',
|
||||
},
|
||||
'x-index': 3,
|
||||
},
|
||||
presence_penalty: {
|
||||
type: 'number',
|
||||
'x-component': ModelFormComponent.SliderInputNumber,
|
||||
'x-component-props': {
|
||||
max: 2,
|
||||
min: -2,
|
||||
step: 0.01,
|
||||
decimalPlaces: 2,
|
||||
},
|
||||
'x-decorator': ModelFormComponent.ModelFormItem,
|
||||
'x-decorator-props': {
|
||||
label: '存在惩罚',
|
||||
popoverContent:
|
||||
'减少已提及内容的重复，增加新主题和概念的引入，促进内容的多元化。',
|
||||
},
|
||||
'x-index': 4,
|
||||
},
|
||||
},
|
||||
},
|
||||
2: {
|
||||
type: 'void',
|
||||
'x-decorator': ModelFormVoidFieldComponent.ModelFormGroupItem,
|
||||
'x-decorator-props': {
|
||||
title: '输入及输出长度',
|
||||
},
|
||||
'x-index': 2,
|
||||
properties: {
|
||||
max_tokens: {
|
||||
type: 'number',
|
||||
'x-component': ModelFormComponent.SliderInputNumber,
|
||||
'x-component-props': {
|
||||
max: 16384,
|
||||
min: 1,
|
||||
step: 1,
|
||||
decimalPlaces: 0,
|
||||
},
|
||||
'x-decorator': ModelFormComponent.ModelFormItem,
|
||||
'x-decorator-props': {
|
||||
label: '最大回复长度',
|
||||
popoverContent:
|
||||
'可控制模型回复的最多 Token 数量，以满足不同场景和需求。通常 100 Tokens 约等于 60 个中文汉字。',
|
||||
},
|
||||
'x-index': 1,
|
||||
},
|
||||
response_format: {
|
||||
type: 'number',
|
||||
'x-component': ModelFormComponent.RadioButton,
|
||||
'x-component-props': {
|
||||
type: 'button',
|
||||
options: [
|
||||
{
|
||||
label: '文本',
|
||||
value: 0,
|
||||
},
|
||||
{
|
||||
label: 'Markdown',
|
||||
value: 1,
|
||||
},
|
||||
],
|
||||
},
|
||||
'x-decorator': ModelFormComponent.ModelFormItem,
|
||||
'x-decorator-props': {
|
||||
label: '输出格式',
|
||||
popoverContent:
|
||||
'文本: 使用普通文本格式回复Markdown: 将强制模型使用Markdown格式输出回复\nJSON: 将强制模型使用 JSON 格式输出回复',
|
||||
},
|
||||
'x-index': 2,
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
});
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,323 @@
|
||||
/*
|
||||
* Copyright 2025 coze-dev Authors
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
import { getFixedSingleAgentSchema } from '../src/utils/model/get-fixed-single-agent-schema';
|
||||
import {
|
||||
ModelFormComponent,
|
||||
ModelFormVoidFieldComponent,
|
||||
} from '../src/constant/model-form-component';
|
||||
|
||||
vi.mock('@coze-studio/bot-detail-store', () => ({}));
|
||||
|
||||
vi.mock('@coze-arch/i18n', () => ({
|
||||
I18n: {
|
||||
t: () => 'mockedI18n',
|
||||
},
|
||||
}));
|
||||
|
||||
describe('get-fixed-single-agent-schema', () => {
|
||||
it('should fixed correctly', () => {
|
||||
const prevSchema = {
|
||||
type: 'object',
|
||||
properties: {
|
||||
1: {
|
||||
type: 'void',
|
||||
'x-decorator':
|
||||
ModelFormVoidFieldComponent.ModelFormGenerationDiversityGroupItem,
|
||||
'x-decorator-props': {
|
||||
title: '生成多样性',
|
||||
},
|
||||
'x-index': 1,
|
||||
properties: {
|
||||
temperature: {
|
||||
type: 'number',
|
||||
'x-component': ModelFormComponent.SliderInputNumber,
|
||||
'x-component-props': {
|
||||
max: 2,
|
||||
min: 0,
|
||||
step: 0.01,
|
||||
decimalPlaces: 2,
|
||||
},
|
||||
'x-decorator': ModelFormComponent.ModelFormItem,
|
||||
'x-decorator-props': {
|
||||
label: '回复随机性',
|
||||
popoverContent:
|
||||
'即 Temperature，较高的 Temperature 会让模型生成更多样和创新的文本，反之生成内容会更加保守且类似于训练数据。',
|
||||
},
|
||||
'x-index': 1,
|
||||
},
|
||||
top_p: {
|
||||
type: 'number',
|
||||
'x-component': ModelFormComponent.SliderInputNumber,
|
||||
'x-component-props': {
|
||||
max: 1,
|
||||
min: 0,
|
||||
step: 0.01,
|
||||
decimalPlaces: 2,
|
||||
},
|
||||
'x-decorator': ModelFormComponent.ModelFormItem,
|
||||
'x-decorator-props': {
|
||||
label: 'Top P',
|
||||
popoverContent:
|
||||
'设定Top p概率阈值，模型在生成文本时只从概率超过阈值的词汇中选择，从而控制文本的多样性',
|
||||
},
|
||||
'x-index': 2,
|
||||
},
|
||||
frequency_penalty: {
|
||||
type: 'number',
|
||||
'x-component': ModelFormComponent.SliderInputNumber,
|
||||
'x-component-props': {
|
||||
max: 2,
|
||||
min: -2,
|
||||
step: 0.01,
|
||||
decimalPlaces: 2,
|
||||
},
|
||||
'x-decorator': ModelFormComponent.ModelFormItem,
|
||||
'x-decorator-props': {
|
||||
label: '重复词汇惩罚',
|
||||
popoverContent:
|
||||
'当该值为正时，它会降低已出现词汇的重复率，进而提高模型输出词汇的多样性',
|
||||
},
|
||||
'x-index': 3,
|
||||
},
|
||||
presence_penalty: {
|
||||
type: 'number',
|
||||
'x-component': ModelFormComponent.SliderInputNumber,
|
||||
'x-component-props': {
|
||||
max: 2,
|
||||
min: -2,
|
||||
step: 0.01,
|
||||
decimalPlaces: 2,
|
||||
},
|
||||
'x-decorator': ModelFormComponent.ModelFormItem,
|
||||
'x-decorator-props': {
|
||||
label: '存在惩罚',
|
||||
popoverContent:
|
||||
'减少已提及内容的重复，增加新主题和概念的引入，促进内容的多元化。',
|
||||
},
|
||||
'x-index': 4,
|
||||
},
|
||||
},
|
||||
},
|
||||
2: {
|
||||
type: 'void',
|
||||
'x-decorator': ModelFormVoidFieldComponent.ModelFormGroupItem,
|
||||
'x-decorator-props': {
|
||||
title: '输入及输出长度',
|
||||
},
|
||||
'x-index': 2,
|
||||
properties: {
|
||||
max_tokens: {
|
||||
type: 'number',
|
||||
'x-component': ModelFormComponent.SliderInputNumber,
|
||||
'x-component-props': {
|
||||
max: 16384,
|
||||
min: 1,
|
||||
step: 1,
|
||||
decimalPlaces: 0,
|
||||
},
|
||||
'x-decorator': ModelFormComponent.ModelFormItem,
|
||||
'x-decorator-props': {
|
||||
label: '最大回复长度',
|
||||
popoverContent:
|
||||
'可控制模型回复的最多 Token 数量，以满足不同场景和需求。通常 100 Tokens 约等于 60 个中文汉字。',
|
||||
},
|
||||
'x-index': 1,
|
||||
},
|
||||
response_format: {
|
||||
type: 'number',
|
||||
'x-component': ModelFormComponent.RadioButton,
|
||||
'x-component-props': {
|
||||
type: 'button',
|
||||
options: [
|
||||
{
|
||||
label: '文本',
|
||||
value: 0,
|
||||
},
|
||||
{
|
||||
label: 'Markdown',
|
||||
value: 1,
|
||||
},
|
||||
],
|
||||
},
|
||||
'x-decorator': ModelFormComponent.ModelFormItem,
|
||||
'x-decorator-props': {
|
||||
label: '输出格式',
|
||||
popoverContent:
|
||||
'文本: 使用普通文本格式回复Markdown: 将强制模型使用Markdown格式输出回复\nJSON: 将强制模型使用 JSON 格式输出回复',
|
||||
},
|
||||
'x-index': 2,
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
};
|
||||
const res = getFixedSingleAgentSchema(prevSchema);
|
||||
|
||||
expect(res).toStrictEqual({
|
||||
type: 'object',
|
||||
properties: {
|
||||
1: {
|
||||
type: 'void',
|
||||
'x-decorator':
|
||||
ModelFormVoidFieldComponent.ModelFormGenerationDiversityGroupItem,
|
||||
'x-decorator-props': {
|
||||
title: '生成多样性',
|
||||
},
|
||||
'x-index': 1,
|
||||
properties: {
|
||||
temperature: {
|
||||
type: 'number',
|
||||
'x-component': ModelFormComponent.SliderInputNumber,
|
||||
'x-component-props': {
|
||||
max: 2,
|
||||
min: 0,
|
||||
step: 0.01,
|
||||
decimalPlaces: 2,
|
||||
},
|
||||
'x-decorator': ModelFormComponent.ModelFormItem,
|
||||
'x-decorator-props': {
|
||||
label: '回复随机性',
|
||||
popoverContent:
|
||||
'即 Temperature，较高的 Temperature 会让模型生成更多样和创新的文本，反之生成内容会更加保守且类似于训练数据。',
|
||||
},
|
||||
'x-index': 1,
|
||||
},
|
||||
top_p: {
|
||||
type: 'number',
|
||||
'x-component': ModelFormComponent.SliderInputNumber,
|
||||
'x-component-props': {
|
||||
max: 1,
|
||||
min: 0,
|
||||
step: 0.01,
|
||||
decimalPlaces: 2,
|
||||
},
|
||||
'x-decorator': ModelFormComponent.ModelFormItem,
|
||||
'x-decorator-props': {
|
||||
label: 'Top P',
|
||||
popoverContent:
|
||||
'设定Top p概率阈值，模型在生成文本时只从概率超过阈值的词汇中选择，从而控制文本的多样性',
|
||||
},
|
||||
'x-index': 2,
|
||||
},
|
||||
frequency_penalty: {
|
||||
type: 'number',
|
||||
'x-component': ModelFormComponent.SliderInputNumber,
|
||||
'x-component-props': {
|
||||
max: 2,
|
||||
min: -2,
|
||||
step: 0.01,
|
||||
decimalPlaces: 2,
|
||||
},
|
||||
'x-decorator': ModelFormComponent.ModelFormItem,
|
||||
'x-decorator-props': {
|
||||
label: '重复词汇惩罚',
|
||||
popoverContent:
|
||||
'当该值为正时，它会降低已出现词汇的重复率，进而提高模型输出词汇的多样性',
|
||||
},
|
||||
'x-index': 3,
|
||||
},
|
||||
presence_penalty: {
|
||||
type: 'number',
|
||||
'x-component': ModelFormComponent.SliderInputNumber,
|
||||
'x-component-props': {
|
||||
max: 2,
|
||||
min: -2,
|
||||
step: 0.01,
|
||||
decimalPlaces: 2,
|
||||
},
|
||||
'x-decorator': ModelFormComponent.ModelFormItem,
|
||||
'x-decorator-props': {
|
||||
label: '存在惩罚',
|
||||
popoverContent:
|
||||
'减少已提及内容的重复，增加新主题和概念的引入，促进内容的多元化。',
|
||||
},
|
||||
'x-index': 4,
|
||||
},
|
||||
},
|
||||
},
|
||||
2: {
|
||||
type: 'void',
|
||||
'x-decorator': ModelFormVoidFieldComponent.ModelFormGroupItem,
|
||||
'x-decorator-props': {
|
||||
title: '输入及输出长度',
|
||||
},
|
||||
'x-index': 2,
|
||||
properties: {
|
||||
HistoryRound: {
|
||||
type: 'number',
|
||||
'x-component': ModelFormComponent.SliderInputNumber,
|
||||
'x-decorator': ModelFormComponent.ModelFormItem,
|
||||
'x-component-props': {
|
||||
step: 1,
|
||||
max: 100,
|
||||
min: 0,
|
||||
decimalPlaces: 0,
|
||||
},
|
||||
'x-decorator-props': {
|
||||
label: 'mockedI18n',
|
||||
popoverContent: 'mockedI18n',
|
||||
},
|
||||
// 放到最前面
|
||||
'x-index': 0,
|
||||
},
|
||||
max_tokens: {
|
||||
type: 'number',
|
||||
'x-component': ModelFormComponent.SliderInputNumber,
|
||||
'x-component-props': {
|
||||
max: 16384,
|
||||
min: 1,
|
||||
step: 1,
|
||||
decimalPlaces: 0,
|
||||
},
|
||||
'x-decorator': ModelFormComponent.ModelFormItem,
|
||||
'x-decorator-props': {
|
||||
label: '最大回复长度',
|
||||
popoverContent:
|
||||
'可控制模型回复的最多 Token 数量，以满足不同场景和需求。通常 100 Tokens 约等于 60 个中文汉字。',
|
||||
},
|
||||
'x-index': 1,
|
||||
},
|
||||
response_format: {
|
||||
type: 'number',
|
||||
'x-component': ModelFormComponent.RadioButton,
|
||||
'x-component-props': {
|
||||
type: 'button',
|
||||
options: [
|
||||
{
|
||||
label: '文本',
|
||||
value: 0,
|
||||
},
|
||||
{
|
||||
label: 'Markdown',
|
||||
value: 1,
|
||||
},
|
||||
],
|
||||
},
|
||||
'x-decorator': ModelFormComponent.ModelFormItem,
|
||||
'x-decorator-props': {
|
||||
label: '输出格式',
|
||||
popoverContent:
|
||||
'文本: 使用普通文本格式回复Markdown: 将强制模型使用Markdown格式输出回复\nJSON: 将强制模型使用 JSON 格式输出回复',
|
||||
},
|
||||
'x-index': 2,
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
});
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,43 @@
|
||||
/*
|
||||
* Copyright 2025 coze-dev Authors
|
||||
*
|
||||
* Licensed under the Apache License, Version 2.0 (the "License");
|
||||
* you may not use this file except in compliance with the License.
|
||||
* You may obtain a copy of the License at
|
||||
*
|
||||
* http://www.apache.org/licenses/LICENSE-2.0
|
||||
*
|
||||
* Unless required by applicable law or agreed to in writing, software
|
||||
* distributed under the License is distributed on an "AS IS" BASIS,
|
||||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
* See the License for the specific language governing permissions and
|
||||
* limitations under the License.
|
||||
*/
|
||||
|
||||
import { getModelClassSortList } from '../src/utils/model/get-model-class-sort-list';
|
||||
|
||||
vi.mock('@coze-studio/bot-detail-store', () => ({}));
|
||||
|
||||
describe('get-model-class-sort-list', () => {
|
||||
it('should sort correctly', () => {
|
||||
const res = getModelClassSortList([
|
||||
'1',
|
||||
'1',
|
||||
'3',
|
||||
'11',
|
||||
'3',
|
||||
'3',
|
||||
'1',
|
||||
'1',
|
||||
'1',
|
||||
'1',
|
||||
'5',
|
||||
'1',
|
||||
'11',
|
||||
'3',
|
||||
'5',
|
||||
'1',
|
||||
]);
|
||||
expect(res).toStrictEqual(['1', '3', '11', '5']);
|
||||
});
|
||||
});
|
||||
@@ -0,0 +1,125 @@
|
||||
[
|
||||
{
|
||||
"name": "temperature",
|
||||
"label": "回复随机性",
|
||||
"desc": "即 Temperature，较高的 Temperature 会让模型生成更多样和创新的文本，反之生成内容会更加保守且类似于训练数据。",
|
||||
"type": 1,
|
||||
"min": "0",
|
||||
"max": "2",
|
||||
"precision": 2,
|
||||
"default_val": {
|
||||
"default_val": "1",
|
||||
"creative": "0.8",
|
||||
"balance": "0.5",
|
||||
"precise": "0.1"
|
||||
},
|
||||
"options": [],
|
||||
"param_class": {
|
||||
"class_id": 1,
|
||||
"label": "生成多样性"
|
||||
}
|
||||
},
|
||||
{
|
||||
"name": "top_p",
|
||||
"label": "Top P",
|
||||
"desc": "设定Top p概率阈值，模型在生成文本时只从概率超过阈值的词汇中选择，从而控制文本的多样性",
|
||||
"type": 1,
|
||||
"min": "0",
|
||||
"max": "1",
|
||||
"precision": 2,
|
||||
"default_val": {
|
||||
"default_val": "1",
|
||||
"creative": "1",
|
||||
"balance": "1",
|
||||
"precise": "1"
|
||||
},
|
||||
"options": [],
|
||||
"param_class": {
|
||||
"class_id": 1,
|
||||
"label": "生成多样性"
|
||||
}
|
||||
},
|
||||
{
|
||||
"name": "frequency_penalty",
|
||||
"label": "重复词汇惩罚",
|
||||
"desc": "当该值为正时，它会降低已出现词汇的重复率，进而提高模型输出词汇的多样性",
|
||||
"type": 1,
|
||||
"min": "-2",
|
||||
"max": "2",
|
||||
"precision": 2,
|
||||
"default_val": {
|
||||
"default_val": "0",
|
||||
"creative": "0",
|
||||
"balance": "0",
|
||||
"precise": "0"
|
||||
},
|
||||
"options": [],
|
||||
"param_class": {
|
||||
"class_id": 1,
|
||||
"label": "生成多样性"
|
||||
}
|
||||
},
|
||||
{
|
||||
"name": "presence_penalty",
|
||||
"label": "存在惩罚",
|
||||
"desc": "减少已提及内容的重复，增加新主题和概念的引入，促进内容的多元化。",
|
||||
"type": 1,
|
||||
"min": "-2",
|
||||
"max": "2",
|
||||
"precision": 2,
|
||||
"default_val": {
|
||||
"default_val": "0",
|
||||
"creative": "0",
|
||||
"balance": "0",
|
||||
"precise": "0"
|
||||
},
|
||||
"options": [],
|
||||
"param_class": {
|
||||
"class_id": 1,
|
||||
"label": "生成多样性"
|
||||
}
|
||||
},
|
||||
{
|
||||
"name": "max_tokens",
|
||||
"label": "最大回复长度",
|
||||
"desc": "可控制模型回复的最多 Token 数量，以满足不同场景和需求。通常 100 Tokens 约等于 60 个中文汉字。",
|
||||
"type": 2,
|
||||
"min": "1",
|
||||
"max": "16384",
|
||||
"precision": 0,
|
||||
"default_val": {
|
||||
"default_val": "2048"
|
||||
},
|
||||
"options": [],
|
||||
"param_class": {
|
||||
"class_id": 2,
|
||||
"label": "输入及输出长度"
|
||||
}
|
||||
},
|
||||
{
|
||||
"name": "response_format",
|
||||
"label": "输出格式",
|
||||
"desc": "文本: 使用普通文本格式回复Markdown: 将强制模型使用Markdown格式输出回复\nJSON: 将强制模型使用 JSON 格式输出回复",
|
||||
"type": 2,
|
||||
"min": "",
|
||||
"max": "",
|
||||
"precision": 0,
|
||||
"default_val": {
|
||||
"default_val": "0"
|
||||
},
|
||||
"options": [
|
||||
{
|
||||
"label": "文本",
|
||||
"value": "0"
|
||||
},
|
||||
{
|
||||
"label": "Markdown",
|
||||
"value": "1"
|
||||
}
|
||||
],
|
||||
"param_class": {
|
||||
"class_id": 2,
|
||||
"label": "输入及输出长度"
|
||||
}
|
||||
}
|
||||
]
|
||||
Reference in New Issue
Block a user