mirror of
https://github.com/labring/FastGPT.git
synced 2025-07-23 13:03:50 +00:00
perf: mcp save raw schema (#5030)
* perf: mcp save raw schema * fix: test * code * perf: json schema test * perf: mcp
This commit is contained in:
@@ -22,6 +22,9 @@ weight: 788
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3. 将文本分块移至 worker 线程,避免阻塞。
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4. 展示更多套餐用量信息。
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5. 优化输入框样式,桌面和移动端的语音输入样式更新。
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6. MCP 工具调用,使用 Raw schema 进行工具调用,保障完整性。
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7. 删除知识库文件时,如果文件不存在,不会阻断删除。
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8. 升级 MCP SDK,兼容最新的 HTTPStreamable。
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## 🐛 修复
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@@ -30,3 +33,4 @@ weight: 788
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3. 登录页可能存在的 XSS 攻击。
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4. 输入框语音输入时候会丢失文件列表的问题。
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5. 知识库文档中图片 TTL 字段未清除,导致图片过期。
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6. MCP 工具存储时,未转义 int 类型数据。
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86
packages/global/core/app/jsonschema.ts
Normal file
86
packages/global/core/app/jsonschema.ts
Normal file
@@ -0,0 +1,86 @@
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import { WorkflowIOValueTypeEnum } from '../workflow/constants';
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import { FlowNodeInputTypeEnum } from '../workflow/node/constant';
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import type { FlowNodeInputItemType } from '../workflow/type/io';
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type SchemaInputValueType = 'string' | 'number' | 'integer' | 'boolean' | 'array' | 'object';
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export type JsonSchemaPropertiesItemType = {
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description?: string;
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type: SchemaInputValueType;
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enum?: string[];
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minimum?: number;
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maximum?: number;
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items?: { type: SchemaInputValueType };
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};
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export type JSONSchemaInputType = {
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type: SchemaInputValueType;
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properties?: Record<string, JsonSchemaPropertiesItemType>;
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required?: string[];
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};
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const getNodeInputTypeFromSchemaInputType = ({
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type,
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arrayItems
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}: {
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type: SchemaInputValueType;
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arrayItems?: { type: SchemaInputValueType };
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}) => {
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if (type === 'string') return WorkflowIOValueTypeEnum.string;
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if (type === 'number') return WorkflowIOValueTypeEnum.number;
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if (type === 'integer') return WorkflowIOValueTypeEnum.number;
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if (type === 'boolean') return WorkflowIOValueTypeEnum.boolean;
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if (type === 'object') return WorkflowIOValueTypeEnum.object;
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if (!arrayItems) return WorkflowIOValueTypeEnum.arrayAny;
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const itemType = arrayItems.type;
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if (itemType === 'string') return WorkflowIOValueTypeEnum.arrayString;
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if (itemType === 'number') return WorkflowIOValueTypeEnum.arrayNumber;
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if (itemType === 'integer') return WorkflowIOValueTypeEnum.arrayNumber;
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if (itemType === 'boolean') return WorkflowIOValueTypeEnum.arrayBoolean;
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if (itemType === 'object') return WorkflowIOValueTypeEnum.arrayObject;
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return WorkflowIOValueTypeEnum.arrayAny;
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};
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const getNodeInputRenderTypeFromSchemaInputType = ({
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type,
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enum: enumList,
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minimum,
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maximum
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}: JsonSchemaPropertiesItemType) => {
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if (enumList && enumList.length > 0) {
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return {
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value: enumList[0],
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renderTypeList: [FlowNodeInputTypeEnum.select],
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list: enumList.map((item) => ({ label: item, value: item }))
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};
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}
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if (type === 'string') {
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return {
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renderTypeList: [FlowNodeInputTypeEnum.input]
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};
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}
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if (type === 'number') {
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return {
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renderTypeList: [FlowNodeInputTypeEnum.numberInput],
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max: maximum,
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min: minimum
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};
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}
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if (type === 'boolean') {
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return {
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renderTypeList: [FlowNodeInputTypeEnum.switch]
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};
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}
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return { renderTypeList: [FlowNodeInputTypeEnum.JSONEditor] };
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};
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export const jsonSchema2NodeInput = (jsonSchema: JSONSchemaInputType): FlowNodeInputItemType[] => {
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return Object.entries(jsonSchema?.properties || {}).map(([key, value]) => ({
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key,
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label: key,
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valueType: getNodeInputTypeFromSchemaInputType({ type: value.type, arrayItems: value.items }),
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description: value.description,
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toolDescription: value.description || key,
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required: jsonSchema?.required?.includes(key),
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...getNodeInputRenderTypeFromSchemaInputType(value)
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}));
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};
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12
packages/global/core/app/mcpTools/type.d.ts
vendored
Normal file
12
packages/global/core/app/mcpTools/type.d.ts
vendored
Normal file
@@ -0,0 +1,12 @@
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import type { McpToolConfigType } from '../type';
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export type McpToolSetDataType = {
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url: string;
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headerSecret?: StoreSecretValueType;
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toolList: McpToolConfigType[];
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};
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export type McpToolDataType = McpToolConfigType & {
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url: string;
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headerSecret?: StoreSecretValueType;
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};
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@@ -1,4 +1,8 @@
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import { NodeOutputKeyEnum, WorkflowIOValueTypeEnum } from '../../workflow/constants';
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import {
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NodeInputKeyEnum,
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NodeOutputKeyEnum,
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WorkflowIOValueTypeEnum
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} from '../../workflow/constants';
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import {
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FlowNodeInputTypeEnum,
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FlowNodeOutputTypeEnum,
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@@ -9,6 +13,7 @@ import { type McpToolConfigType } from '../type';
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import { i18nT } from '../../../../web/i18n/utils';
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import { type RuntimeNodeItemType } from '../../workflow/runtime/type';
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import { type StoreSecretValueType } from '../../../common/secret/type';
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import { jsonSchema2NodeInput } from '../jsonschema';
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export const getMCPToolSetRuntimeNode = ({
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url,
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@@ -30,14 +35,14 @@ export const getMCPToolSetRuntimeNode = ({
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intro: 'MCP Tools',
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inputs: [
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{
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key: 'toolSetData',
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key: NodeInputKeyEnum.toolSetData,
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label: 'Tool Set Data',
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valueType: WorkflowIOValueTypeEnum.object,
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renderTypeList: [FlowNodeInputTypeEnum.hidden],
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value: {
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url,
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toolList,
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headerSecret
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headerSecret,
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toolList
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}
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}
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],
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@@ -65,7 +70,7 @@ export const getMCPToolRuntimeNode = ({
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intro: tool.description,
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inputs: [
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{
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key: 'toolData',
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key: NodeInputKeyEnum.toolData,
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label: 'Tool Data',
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valueType: WorkflowIOValueTypeEnum.object,
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renderTypeList: [FlowNodeInputTypeEnum.hidden],
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@@ -75,23 +80,7 @@ export const getMCPToolRuntimeNode = ({
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headerSecret
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}
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},
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...Object.entries(tool.inputSchema?.properties || {}).map(([key, value]) => ({
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key,
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label: key,
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valueType: value.type as WorkflowIOValueTypeEnum, // TODO: 这里需要做一个映射
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description: value.description,
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toolDescription: value.description || key,
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required: tool.inputSchema?.required?.includes(key) || false,
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renderTypeList: [
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value.type === 'string'
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? FlowNodeInputTypeEnum.input
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: value.type === 'number'
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? FlowNodeInputTypeEnum.numberInput
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: value.type === 'boolean'
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? FlowNodeInputTypeEnum.switch
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: FlowNodeInputTypeEnum.JSONEditor
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]
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}))
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...jsonSchema2NodeInput(tool.inputSchema)
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],
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outputs: [
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{
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7
packages/global/core/app/type.d.ts
vendored
7
packages/global/core/app/type.d.ts
vendored
@@ -15,6 +15,7 @@ import type { ParentIdType } from '../../common/parentFolder/type';
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import { FlowNodeInputTypeEnum } from '../../core/workflow/node/constant';
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import type { WorkflowTemplateBasicType } from '@fastgpt/global/core/workflow/type';
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import type { SourceMemberType } from '../../support/user/type';
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import type { JSONSchemaInputType } from './jsonschema';
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export type AppSchema = {
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_id: string;
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@@ -110,11 +111,7 @@ export type AppSimpleEditFormType = {
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export type McpToolConfigType = {
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name: string;
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description: string;
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inputSchema: {
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type: string;
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properties?: Record<string, { type: string; description?: string }>;
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required?: string[];
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};
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inputSchema: JSONSchemaInputType;
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};
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/* app chat config type */
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|
@@ -1,4 +1,5 @@
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import { i18nT } from '../../../web/i18n/utils';
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import type { JsonSchemaPropertiesItemType } from '../app/jsonschema';
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export enum FlowNodeTemplateTypeEnum {
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systemInput = 'systemInput',
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@@ -40,7 +41,11 @@ export enum WorkflowIOValueTypeEnum {
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selectApp = 'selectApp'
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}
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export const toolValueTypeList = [
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export const toolValueTypeList: {
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label: string;
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value: WorkflowIOValueTypeEnum;
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jsonSchema: JsonSchemaPropertiesItemType;
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}[] = [
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{
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label: WorkflowIOValueTypeEnum.string,
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value: WorkflowIOValueTypeEnum.string,
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@@ -93,6 +98,14 @@ export const toolValueTypeList = [
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}
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}
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];
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export const valueTypeJsonSchemaMap: Record<string, JsonSchemaPropertiesItemType> =
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toolValueTypeList.reduce(
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(acc, item) => {
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acc[item.value] = item.jsonSchema;
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return acc;
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},
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{} as Record<string, JsonSchemaPropertiesItemType>
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);
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/* reg: modulename key */
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export enum NodeInputKeyEnum {
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@@ -231,7 +244,11 @@ export enum NodeInputKeyEnum {
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// comment
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commentText = 'commentText',
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commentSize = 'commentSize'
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commentSize = 'commentSize',
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// Tool
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toolData = 'system_toolData',
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toolSetData = 'system_toolSetData'
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}
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export enum NodeOutputKeyEnum {
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|
@@ -1,7 +1,10 @@
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{
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"extends": "../../tsconfig.json",
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"compilerOptions": {
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"baseUrl": "."
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"baseUrl": ".",
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"paths": {
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"@fastgpt/global/*": ["./*"]
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}
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},
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"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", "**/*.d.ts"]
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}
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|
@@ -14,7 +14,10 @@
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"isolatedModules": true,
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"jsx": "preserve",
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"incremental": true,
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"baseUrl": "."
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"baseUrl": ".",
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"paths": {
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"@fastgpt/plugins/*": ["./*"]
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}
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},
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"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", "**/*.d.ts", "../**/*.d.ts"],
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"exclude": ["node_modules"]
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|
@@ -167,7 +167,15 @@ export async function delFileByFileIdList({
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const bucket = getGridBucket(bucketName);
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for await (const fileId of fileIdList) {
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await bucket.delete(new Types.ObjectId(fileId));
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try {
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await bucket.delete(new Types.ObjectId(String(fileId)));
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} catch (error: any) {
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if (typeof error?.message === 'string' && error.message.includes('File not found')) {
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addLog.warn('File not found', { fileId });
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return;
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}
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return Promise.reject(error);
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}
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}
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});
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}
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|
@@ -4,10 +4,10 @@ import { type StoreSecretValueType } from '@fastgpt/global/common/secret/type';
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import { HeaderSecretTypeEnum } from '@fastgpt/global/common/secret/constants';
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export const storeSecretValue = (
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storeSecret: StoreSecretValueType
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storeSecret: StoreSecretValueType = {}
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): Record<string, SecretValueType> => {
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return Object.fromEntries(
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Object.entries(storeSecret || {}).map(([key, value]) => [
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Object.entries(storeSecret).map(([key, value]) => [
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key,
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{
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secret: encryptSecret(value.value),
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|
@@ -10,7 +10,11 @@ import { ChatItemValueTypeEnum, ChatRoleEnum } from '@fastgpt/global/core/chat/c
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import { createChatCompletion } from '../../../ai/config';
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import type { ContextExtractAgentItemType } from '@fastgpt/global/core/workflow/template/system/contextExtract/type';
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import type { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
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import { NodeOutputKeyEnum, toolValueTypeList } from '@fastgpt/global/core/workflow/constants';
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import {
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NodeOutputKeyEnum,
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toolValueTypeList,
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valueTypeJsonSchemaMap
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} from '@fastgpt/global/core/workflow/constants';
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import { DispatchNodeResponseKeyEnum } from '@fastgpt/global/core/workflow/runtime/constants';
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import type { ModuleDispatchProps } from '@fastgpt/global/core/workflow/runtime/type';
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import { sliceJsonStr } from '@fastgpt/global/common/string/tools';
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@@ -164,9 +168,10 @@ const getJsonSchema = ({ params: { extractKeys } }: ActionProps) => {
|
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}
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> = {};
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extractKeys.forEach((item) => {
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const jsonSchema = (
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toolValueTypeList.find((type) => type.value === item.valueType) || toolValueTypeList[0]
|
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)?.jsonSchema;
|
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const jsonSchema = item.valueType
|
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? valueTypeJsonSchemaMap[item.valueType] || toolValueTypeList[0].jsonSchema
|
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: toolValueTypeList[0].jsonSchema;
|
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|
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properties[item.key] = {
|
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...jsonSchema,
|
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description: item.desc,
|
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|
@@ -37,7 +37,7 @@ import {
|
||||
removeDatasetCiteText,
|
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parseLLMStreamResponse
|
||||
} from '../../../../ai/utils';
|
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import { toolValueTypeList } from '@fastgpt/global/core/workflow/constants';
|
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import { toolValueTypeList, valueTypeJsonSchemaMap } from '@fastgpt/global/core/workflow/constants';
|
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import { type WorkflowInteractiveResponseType } from '@fastgpt/global/core/workflow/template/system/interactive/type';
|
||||
import { ChatItemValueTypeEnum } from '@fastgpt/global/core/chat/constants';
|
||||
|
||||
@@ -162,6 +162,14 @@ export const runToolWithFunctionCall = async (
|
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const assistantResponses = response?.assistantResponses || [];
|
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|
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const functions: ChatCompletionCreateParams.Function[] = toolNodes.map((item) => {
|
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if (item.jsonSchema) {
|
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return {
|
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name: item.nodeId,
|
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description: item.intro,
|
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parameters: item.jsonSchema
|
||||
};
|
||||
}
|
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|
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const properties: Record<
|
||||
string,
|
||||
{
|
||||
@@ -172,9 +180,9 @@ export const runToolWithFunctionCall = async (
|
||||
}
|
||||
> = {};
|
||||
item.toolParams.forEach((item) => {
|
||||
const jsonSchema = (
|
||||
toolValueTypeList.find((type) => type.value === item.valueType) || toolValueTypeList[0]
|
||||
).jsonSchema;
|
||||
const jsonSchema = item.valueType
|
||||
? valueTypeJsonSchemaMap[item.valueType] || toolValueTypeList[0].jsonSchema
|
||||
: toolValueTypeList[0].jsonSchema;
|
||||
|
||||
properties[item.key] = {
|
||||
...jsonSchema,
|
||||
|
@@ -1,4 +1,4 @@
|
||||
import { NodeOutputKeyEnum } from '@fastgpt/global/core/workflow/constants';
|
||||
import { NodeInputKeyEnum, NodeOutputKeyEnum } from '@fastgpt/global/core/workflow/constants';
|
||||
import { DispatchNodeResponseKeyEnum } from '@fastgpt/global/core/workflow/runtime/constants';
|
||||
import type {
|
||||
ChatDispatchProps,
|
||||
@@ -22,7 +22,7 @@ import { formatModelChars2Points } from '../../../../../support/wallet/usage/uti
|
||||
import { getHistoryPreview } from '@fastgpt/global/core/chat/utils';
|
||||
import { runToolWithFunctionCall } from './functionCall';
|
||||
import { runToolWithPromptCall } from './promptCall';
|
||||
import { getNanoid, replaceVariable } from '@fastgpt/global/common/string/tools';
|
||||
import { replaceVariable } from '@fastgpt/global/common/string/tools';
|
||||
import { getMultiplePrompt, Prompt_Tool_Call } from './constants';
|
||||
import { filterToolResponseToPreview } from './utils';
|
||||
import { type InteractiveNodeResponseType } from '@fastgpt/global/core/workflow/template/system/interactive/type';
|
||||
@@ -32,6 +32,9 @@ import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
|
||||
import { ModelTypeEnum } from '@fastgpt/global/core/ai/model';
|
||||
import { getDocumentQuotePrompt } from '@fastgpt/global/core/ai/prompt/AIChat';
|
||||
import { postTextCensor } from '../../../../chat/postTextCensor';
|
||||
import type { FlowNodeInputItemType } from '@fastgpt/global/core/workflow/type/io';
|
||||
import type { McpToolDataType } from '@fastgpt/global/core/app/mcpTools/type';
|
||||
import type { JSONSchemaInputType } from '@fastgpt/global/core/app/jsonschema';
|
||||
|
||||
type Response = DispatchNodeResultType<{
|
||||
[NodeOutputKeyEnum.answerText]: string;
|
||||
@@ -78,10 +81,24 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
|
||||
})
|
||||
.filter(Boolean)
|
||||
.map<ToolNodeItemType>((tool) => {
|
||||
const toolParams = tool?.inputs.filter((input) => !!input.toolDescription) || [];
|
||||
const toolParams: FlowNodeInputItemType[] = [];
|
||||
// Raw json schema(MCP tool)
|
||||
let jsonSchema: JSONSchemaInputType | undefined = undefined;
|
||||
tool?.inputs.forEach((input) => {
|
||||
if (input.toolDescription) {
|
||||
toolParams.push(input);
|
||||
}
|
||||
|
||||
if (input.key === NodeInputKeyEnum.toolData || input.key === 'toolData') {
|
||||
const value = input.value as McpToolDataType;
|
||||
jsonSchema = value.inputSchema;
|
||||
}
|
||||
});
|
||||
|
||||
return {
|
||||
...(tool as RuntimeNodeItemType),
|
||||
toolParams
|
||||
toolParams,
|
||||
jsonSchema
|
||||
};
|
||||
});
|
||||
|
||||
@@ -172,28 +189,26 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
|
||||
reserveId: false
|
||||
// reserveTool: !!toolModel.toolChoice
|
||||
});
|
||||
|
||||
if (toolModel.toolChoice) {
|
||||
return runToolWithToolChoice({
|
||||
...props,
|
||||
const requestParams = {
|
||||
runtimeNodes,
|
||||
runtimeEdges,
|
||||
toolNodes,
|
||||
toolModel,
|
||||
maxRunToolTimes: 30,
|
||||
messages: adaptMessages,
|
||||
interactiveEntryToolParams: lastInteractive?.toolParams
|
||||
};
|
||||
|
||||
if (toolModel.toolChoice) {
|
||||
return runToolWithToolChoice({
|
||||
...props,
|
||||
...requestParams,
|
||||
maxRunToolTimes: 30
|
||||
});
|
||||
}
|
||||
if (toolModel.functionCall) {
|
||||
return runToolWithFunctionCall({
|
||||
...props,
|
||||
runtimeNodes,
|
||||
runtimeEdges,
|
||||
toolNodes,
|
||||
toolModel,
|
||||
messages: adaptMessages,
|
||||
interactiveEntryToolParams: lastInteractive?.toolParams
|
||||
...requestParams
|
||||
});
|
||||
}
|
||||
|
||||
@@ -218,12 +233,7 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
|
||||
|
||||
return runToolWithPromptCall({
|
||||
...props,
|
||||
runtimeNodes,
|
||||
runtimeEdges,
|
||||
toolNodes,
|
||||
toolModel,
|
||||
messages: adaptMessages,
|
||||
interactiveEntryToolParams: lastInteractive?.toolParams
|
||||
...requestParams
|
||||
});
|
||||
})();
|
||||
|
||||
|
@@ -38,7 +38,7 @@ import {
|
||||
parseLLMStreamResponse
|
||||
} from '../../../../ai/utils';
|
||||
import { type WorkflowResponseType } from '../../type';
|
||||
import { toolValueTypeList } from '@fastgpt/global/core/workflow/constants';
|
||||
import { toolValueTypeList, valueTypeJsonSchemaMap } from '@fastgpt/global/core/workflow/constants';
|
||||
import { type WorkflowInteractiveResponseType } from '@fastgpt/global/core/workflow/template/system/interactive/type';
|
||||
import { ChatItemValueTypeEnum } from '@fastgpt/global/core/chat/constants';
|
||||
|
||||
@@ -166,6 +166,14 @@ export const runToolWithPromptCall = async (
|
||||
|
||||
const toolsPrompt = JSON.stringify(
|
||||
toolNodes.map((item) => {
|
||||
if (item.jsonSchema) {
|
||||
return {
|
||||
toolId: item.nodeId,
|
||||
description: item.intro,
|
||||
parameters: item.jsonSchema
|
||||
};
|
||||
}
|
||||
|
||||
const properties: Record<
|
||||
string,
|
||||
{
|
||||
@@ -176,9 +184,9 @@ export const runToolWithPromptCall = async (
|
||||
}
|
||||
> = {};
|
||||
item.toolParams.forEach((item) => {
|
||||
const jsonSchema = (
|
||||
toolValueTypeList.find((type) => type.value === item.valueType) || toolValueTypeList[0]
|
||||
).jsonSchema;
|
||||
const jsonSchema = item.valueType
|
||||
? valueTypeJsonSchemaMap[item.valueType] || toolValueTypeList[0].jsonSchema
|
||||
: toolValueTypeList[0].jsonSchema;
|
||||
|
||||
properties[item.key] = {
|
||||
...jsonSchema,
|
||||
|
@@ -33,7 +33,7 @@ import {
|
||||
parseLLMStreamResponse
|
||||
} from '../../../../ai/utils';
|
||||
import { getNanoid, sliceStrStartEnd } from '@fastgpt/global/common/string/tools';
|
||||
import { toolValueTypeList } from '@fastgpt/global/core/workflow/constants';
|
||||
import { toolValueTypeList, valueTypeJsonSchemaMap } from '@fastgpt/global/core/workflow/constants';
|
||||
import { type WorkflowInteractiveResponseType } from '@fastgpt/global/core/workflow/template/system/interactive/type';
|
||||
import { ChatItemValueTypeEnum } from '@fastgpt/global/core/chat/constants';
|
||||
import { getErrText } from '@fastgpt/global/common/error/utils';
|
||||
@@ -211,6 +211,17 @@ export const runToolWithToolChoice = async (
|
||||
const assistantResponses = response?.assistantResponses || [];
|
||||
|
||||
const tools: ChatCompletionTool[] = toolNodes.map((item) => {
|
||||
if (item.jsonSchema) {
|
||||
return {
|
||||
type: 'function',
|
||||
function: {
|
||||
name: item.nodeId,
|
||||
description: item.intro || item.name,
|
||||
parameters: item.jsonSchema
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
const properties: Record<
|
||||
string,
|
||||
{
|
||||
@@ -224,9 +235,10 @@ export const runToolWithToolChoice = async (
|
||||
}
|
||||
> = {};
|
||||
item.toolParams.forEach((item) => {
|
||||
const jsonSchema = (
|
||||
toolValueTypeList.find((type) => type.value === item.valueType) || toolValueTypeList[0]
|
||||
)?.jsonSchema;
|
||||
const jsonSchema = item.valueType
|
||||
? valueTypeJsonSchemaMap[item.valueType] || toolValueTypeList[0].jsonSchema
|
||||
: toolValueTypeList[0].jsonSchema;
|
||||
|
||||
properties[item.key] = {
|
||||
...jsonSchema,
|
||||
description: item.toolDescription || '',
|
||||
|
@@ -16,6 +16,7 @@ import { ChatItemValueItemType } from '@fastgpt/global/core/chat/type';
|
||||
import type { DispatchNodeResponseKeyEnum } from '@fastgpt/global/core/workflow/runtime/constants';
|
||||
import type { WorkflowInteractiveResponseType } from '@fastgpt/global/core/workflow/template/system/interactive/type';
|
||||
import type { LLMModelItemType } from '@fastgpt/global/core/ai/model';
|
||||
import type { JSONSchemaInputType } from '@fastgpt/global/core/app/jsonschema';
|
||||
|
||||
export type DispatchToolModuleProps = ModuleDispatchProps<{
|
||||
[NodeInputKeyEnum.history]?: ChatItemType[];
|
||||
@@ -51,4 +52,5 @@ export type RunToolResponse = {
|
||||
};
|
||||
export type ToolNodeItemType = RuntimeNodeItemType & {
|
||||
toolParams: RuntimeNodeItemType['inputs'];
|
||||
jsonSchema?: JSONSchemaInputType;
|
||||
};
|
||||
|
@@ -3,18 +3,16 @@ import {
|
||||
type ModuleDispatchProps
|
||||
} from '@fastgpt/global/core/workflow/runtime/type';
|
||||
import { DispatchNodeResponseKeyEnum } from '@fastgpt/global/core/workflow/runtime/constants';
|
||||
import type { NodeInputKeyEnum } from '@fastgpt/global/core/workflow/constants';
|
||||
import { NodeOutputKeyEnum } from '@fastgpt/global/core/workflow/constants';
|
||||
import { MCPClient } from '../../../app/mcp';
|
||||
import { getErrText } from '@fastgpt/global/common/error/utils';
|
||||
import { type StoreSecretValueType } from '@fastgpt/global/common/secret/type';
|
||||
import { getSecretValue } from '../../../../common/secret/utils';
|
||||
import type { McpToolDataType } from '@fastgpt/global/core/app/mcpTools/type';
|
||||
|
||||
type RunToolProps = ModuleDispatchProps<{
|
||||
toolData: {
|
||||
name: string;
|
||||
url: string;
|
||||
headerSecret: StoreSecretValueType;
|
||||
};
|
||||
toolData?: McpToolDataType;
|
||||
[NodeInputKeyEnum.toolData]: McpToolDataType;
|
||||
}>;
|
||||
|
||||
type RunToolResponse = DispatchNodeResultType<{
|
||||
@@ -27,13 +25,13 @@ export const dispatchRunTool = async (props: RunToolProps): Promise<RunToolRespo
|
||||
node: { avatar }
|
||||
} = props;
|
||||
|
||||
const { toolData, ...restParams } = params;
|
||||
const { name: toolName, url } = toolData;
|
||||
const { toolData, system_toolData, ...restParams } = params;
|
||||
const { name: toolName, url, headerSecret } = toolData || system_toolData;
|
||||
|
||||
const mcpClient = new MCPClient({
|
||||
url,
|
||||
headers: getSecretValue({
|
||||
storeSecret: toolData.headerSecret
|
||||
storeSecret: headerSecret
|
||||
})
|
||||
});
|
||||
|
||||
|
@@ -14,6 +14,7 @@ import { getNanoid } from '@fastgpt/global/common/string/tools';
|
||||
import { type SearchDataResponseItemType } from '@fastgpt/global/core/dataset/type';
|
||||
import { getMCPToolRuntimeNode } from '@fastgpt/global/core/app/mcpTools/utils';
|
||||
import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
|
||||
import type { McpToolSetDataType } from '@fastgpt/global/core/app/mcpTools/type';
|
||||
|
||||
export const getWorkflowResponseWrite = ({
|
||||
res,
|
||||
@@ -161,11 +162,13 @@ export const rewriteRuntimeWorkFlow = (
|
||||
|
||||
for (const toolSetNode of toolSetNodes) {
|
||||
nodeIdsToRemove.add(toolSetNode.nodeId);
|
||||
const toolList =
|
||||
toolSetNode.inputs.find((input) => input.key === 'toolSetData')?.value?.toolList || [];
|
||||
const url = toolSetNode.inputs.find((input) => input.key === 'toolSetData')?.value?.url;
|
||||
const headerSecret = toolSetNode.inputs.find((input) => input.key === 'toolSetData')?.value
|
||||
?.headerSecret;
|
||||
const toolSetValue = toolSetNode.inputs[0]?.value as McpToolSetDataType | undefined;
|
||||
|
||||
if (!toolSetValue) continue;
|
||||
|
||||
const toolList = toolSetValue.toolList;
|
||||
const url = toolSetValue.url;
|
||||
const headerSecret = toolSetValue.headerSecret;
|
||||
|
||||
const incomingEdges = edges.filter((edge) => edge.target === toolSetNode.nodeId);
|
||||
|
||||
|
@@ -3,7 +3,7 @@
|
||||
"version": "1.0.0",
|
||||
"dependencies": {
|
||||
"@fastgpt/global": "workspace:*",
|
||||
"@modelcontextprotocol/sdk": "^1.10.2",
|
||||
"@modelcontextprotocol/sdk": "^1.12.1",
|
||||
"@node-rs/jieba": "2.0.1",
|
||||
"@xmldom/xmldom": "^0.8.10",
|
||||
"@zilliz/milvus2-sdk-node": "2.4.2",
|
||||
|
@@ -1,7 +1,10 @@
|
||||
{
|
||||
"extends": "../../tsconfig.json",
|
||||
"compilerOptions": {
|
||||
"baseUrl": "."
|
||||
"baseUrl": ".",
|
||||
"paths": {
|
||||
"@fastgpt/servive/*": ["./*"]
|
||||
}
|
||||
},
|
||||
"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", "**/*.d.ts", "../../**/*.d.ts"]
|
||||
}
|
||||
|
@@ -15,7 +15,7 @@
|
||||
"channel_status_disabled": "Disabled",
|
||||
"channel_status_enabled": "Enable",
|
||||
"channel_status_unknown": "unknown",
|
||||
"channel_type": "Manufacturer",
|
||||
"channel_type": "Protocol Type",
|
||||
"chart_mode_cumulative": "Cumulative",
|
||||
"chart_mode_incremental": "Incremental",
|
||||
"clear_model": "Clear the model",
|
||||
@@ -74,7 +74,7 @@
|
||||
"select_channel": "Select a channel name",
|
||||
"select_model": "Select a model",
|
||||
"select_model_placeholder": "Select the model available under this channel",
|
||||
"select_provider_placeholder": "Search for manufacturers",
|
||||
"select_provider_placeholder": "Search protocol type",
|
||||
"selected_model_empty": "Choose at least one model",
|
||||
"start_test": "Batch test {{num}} models",
|
||||
"test_failed": "There are {{num}} models that report errors",
|
||||
|
@@ -15,7 +15,7 @@
|
||||
"channel_status_disabled": "禁用",
|
||||
"channel_status_enabled": "启用",
|
||||
"channel_status_unknown": "未知",
|
||||
"channel_type": "厂商",
|
||||
"channel_type": "协议类型",
|
||||
"chart_mode_cumulative": "累积",
|
||||
"chart_mode_incremental": "分时",
|
||||
"clear_model": "清空模型",
|
||||
@@ -74,7 +74,7 @@
|
||||
"select_channel": "选择渠道名",
|
||||
"select_model": "选择模型",
|
||||
"select_model_placeholder": "选择该渠道下可用的模型",
|
||||
"select_provider_placeholder": "搜索厂商",
|
||||
"select_provider_placeholder": "搜索协议类型",
|
||||
"selected_model_empty": "至少选择一个模型",
|
||||
"start_test": "批量测试{{num}}个模型",
|
||||
"test_failed": "有{{num}}个模型报错",
|
||||
|
@@ -15,7 +15,7 @@
|
||||
"channel_status_disabled": "停用",
|
||||
"channel_status_enabled": "啟用",
|
||||
"channel_status_unknown": "未知",
|
||||
"channel_type": "廠商",
|
||||
"channel_type": "協議類型",
|
||||
"chart_mode_cumulative": "累積",
|
||||
"chart_mode_incremental": "分時",
|
||||
"clear_model": "清空模型",
|
||||
@@ -74,7 +74,7 @@
|
||||
"select_channel": "選擇管道名稱",
|
||||
"select_model": "選擇模型",
|
||||
"select_model_placeholder": "選擇該管道下可用的模型",
|
||||
"select_provider_placeholder": "搜尋廠商",
|
||||
"select_provider_placeholder": "搜索協議類型",
|
||||
"selected_model_empty": "至少選擇一個模型",
|
||||
"start_test": "批次測試{{num}}個模型",
|
||||
"test_failed": "有{{num}}個模型報錯",
|
||||
|
@@ -1,7 +1,10 @@
|
||||
{
|
||||
"extends": "../../tsconfig.json",
|
||||
"compilerOptions": {
|
||||
"baseUrl": "."
|
||||
"baseUrl": ".",
|
||||
"paths": {
|
||||
"@fastgpt/web/*": ["./*"]
|
||||
}
|
||||
},
|
||||
"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", "**/*.d.ts", "../**/*.d.ts"]
|
||||
}
|
||||
|
19
pnpm-lock.yaml
generated
19
pnpm-lock.yaml
generated
@@ -182,8 +182,8 @@ importers:
|
||||
specifier: workspace:*
|
||||
version: link:../global
|
||||
'@modelcontextprotocol/sdk':
|
||||
specifier: ^1.10.2
|
||||
version: 1.10.2
|
||||
specifier: ^1.12.1
|
||||
version: 1.12.2
|
||||
'@node-rs/jieba':
|
||||
specifier: 2.0.1
|
||||
version: 2.0.1
|
||||
@@ -511,8 +511,8 @@ importers:
|
||||
specifier: ^3.0.6
|
||||
version: 3.0.6
|
||||
'@modelcontextprotocol/sdk':
|
||||
specifier: ^1.10.2
|
||||
version: 1.10.2
|
||||
specifier: ^1.12.1
|
||||
version: 1.12.2
|
||||
'@node-rs/jieba':
|
||||
specifier: 2.0.1
|
||||
version: 2.0.1
|
||||
@@ -695,8 +695,8 @@ importers:
|
||||
projects/mcp_server:
|
||||
dependencies:
|
||||
'@modelcontextprotocol/sdk':
|
||||
specifier: ^1.10.2
|
||||
version: 1.10.2
|
||||
specifier: ^1.12.1
|
||||
version: 1.12.2
|
||||
axios:
|
||||
specifier: ^1.8.2
|
||||
version: 1.8.4
|
||||
@@ -2392,8 +2392,8 @@ packages:
|
||||
'@mixmark-io/domino@2.2.0':
|
||||
resolution: {integrity: sha512-Y28PR25bHXUg88kCV7nivXrP2Nj2RueZ3/l/jdx6J9f8J4nsEGcgX0Qe6lt7Pa+J79+kPiJU3LguR6O/6zrLOw==}
|
||||
|
||||
'@modelcontextprotocol/sdk@1.10.2':
|
||||
resolution: {integrity: sha512-rb6AMp2DR4SN+kc6L1ta2NCpApyA9WYNx3CrTSZvGxq9wH71bRur+zRqPfg0vQ9mjywR7qZdX2RGHOPq3ss+tA==}
|
||||
'@modelcontextprotocol/sdk@1.12.2':
|
||||
resolution: {integrity: sha512-ShQesHTyTZfcpjnMCUOH1gbhK9CZXL30GLFw4hN8qOiIaRKbkOl91uw79WP4v3Mh4QUffjkUO60ZtBUEzaRaOg==}
|
||||
engines: {node: '>=18'}
|
||||
|
||||
'@monaco-editor/loader@1.5.0':
|
||||
@@ -11872,8 +11872,9 @@ snapshots:
|
||||
|
||||
'@mixmark-io/domino@2.2.0': {}
|
||||
|
||||
'@modelcontextprotocol/sdk@1.10.2':
|
||||
'@modelcontextprotocol/sdk@1.12.2':
|
||||
dependencies:
|
||||
ajv: 6.12.6
|
||||
content-type: 1.0.5
|
||||
cors: 2.8.5
|
||||
cross-spawn: 7.0.6
|
||||
|
@@ -24,7 +24,7 @@
|
||||
"@fastgpt/templates": "workspace:*",
|
||||
"@fastgpt/web": "workspace:*",
|
||||
"@fortaine/fetch-event-source": "^3.0.6",
|
||||
"@modelcontextprotocol/sdk": "^1.10.2",
|
||||
"@modelcontextprotocol/sdk": "^1.12.1",
|
||||
"@node-rs/jieba": "2.0.1",
|
||||
"@tanstack/react-query": "^4.24.10",
|
||||
"ahooks": "^3.7.11",
|
||||
|
@@ -137,7 +137,10 @@ const ChannelTable = ({ Tab }: { Tab: React.ReactNode }) => {
|
||||
<Td>{item.name}</Td>
|
||||
<Td>
|
||||
<HStack>
|
||||
<MyIcon name={provider?.avatar as any} w={'1rem'} />
|
||||
<MyIcon
|
||||
name={(providerData?.avatar || provider?.avatar) as any}
|
||||
w={'1rem'}
|
||||
/>
|
||||
<Box>{t(providerData?.label as any)}</Box>
|
||||
</HStack>
|
||||
</Td>
|
||||
|
@@ -2,13 +2,11 @@ import { type FlowNodeItemType } from '@fastgpt/global/core/workflow/type/node';
|
||||
import { useTranslation } from 'next-i18next';
|
||||
import { type NodeProps } from 'reactflow';
|
||||
import NodeCard from '../render/NodeCard';
|
||||
import EmptyTip from '@fastgpt/web/components/common/EmptyTip';
|
||||
import { useContextSelector } from 'use-context-selector';
|
||||
import { WorkflowContext } from '../../../context';
|
||||
import {
|
||||
NodeInputKeyEnum,
|
||||
NodeOutputKeyEnum,
|
||||
toolValueTypeList,
|
||||
WorkflowIOValueTypeEnum
|
||||
} from '@fastgpt/global/core/workflow/constants';
|
||||
import { Box, Flex, Table, TableContainer, Tbody, Td, Th, Thead, Tr } from '@chakra-ui/react';
|
||||
|
@@ -12,8 +12,7 @@ const NodeToolSet = ({ data, selected }: NodeProps<FlowNodeItemType>) => {
|
||||
const { t } = useTranslation();
|
||||
|
||||
const { inputs } = data;
|
||||
const toolList: McpToolConfigType[] = inputs.find((item) => item.key === 'toolSetData')?.value
|
||||
?.toolList;
|
||||
const toolList: McpToolConfigType[] = inputs[0]?.value?.toolList;
|
||||
|
||||
return (
|
||||
<NodeCard minW={'350px'} selected={selected} {...data}>
|
||||
|
@@ -15,7 +15,6 @@ import { pushTrack } from '@fastgpt/service/common/middle/tracks/utils';
|
||||
import { checkTeamAppLimit } from '@fastgpt/service/support/permission/teamLimit';
|
||||
import { WritePermissionVal } from '@fastgpt/global/support/permission/constant';
|
||||
import { type StoreSecretValueType } from '@fastgpt/global/common/secret/type';
|
||||
import { encryptSecret } from '@fastgpt/service/common/secret/aes256gcm';
|
||||
import { storeSecretValue } from '@fastgpt/service/common/secret/utils';
|
||||
|
||||
export type createMCPToolsQuery = {};
|
||||
|
@@ -6,7 +6,7 @@ import { ReadPermissionVal } from '@fastgpt/global/support/permission/constant';
|
||||
import { getAppLatestVersion } from '@fastgpt/service/core/app/version/controller';
|
||||
import { type Tool } from '@modelcontextprotocol/sdk/types';
|
||||
import { FlowNodeTypeEnum } from '@fastgpt/global/core/workflow/node/constant';
|
||||
import { toolValueTypeList } from '@fastgpt/global/core/workflow/constants';
|
||||
import { toolValueTypeList, valueTypeJsonSchemaMap } from '@fastgpt/global/core/workflow/constants';
|
||||
import { type AppChatConfigType } from '@fastgpt/global/core/app/type';
|
||||
import { AppTypeEnum } from '@fastgpt/global/core/app/constants';
|
||||
import { type FlowNodeInputItemType } from '@fastgpt/global/core/workflow/type/io';
|
||||
@@ -51,9 +51,9 @@ export const pluginNodes2InputSchema = (
|
||||
};
|
||||
|
||||
pluginInput?.inputs.forEach((input) => {
|
||||
const jsonSchema = (
|
||||
toolValueTypeList.find((type) => type.value === input.valueType) || toolValueTypeList[0]
|
||||
)?.jsonSchema;
|
||||
const jsonSchema = input.valueType
|
||||
? valueTypeJsonSchemaMap[input.valueType] || toolValueTypeList[0].jsonSchema
|
||||
: toolValueTypeList[0].jsonSchema;
|
||||
|
||||
schema.properties![input.key] = {
|
||||
...jsonSchema,
|
||||
@@ -96,9 +96,9 @@ export const workflow2InputSchema = (chatConfig?: {
|
||||
};
|
||||
|
||||
chatConfig?.variables?.forEach((item) => {
|
||||
const jsonSchema = (
|
||||
toolValueTypeList.find((type) => type.value === item.valueType) || toolValueTypeList[0]
|
||||
)?.jsonSchema;
|
||||
const jsonSchema = item.valueType
|
||||
? valueTypeJsonSchemaMap[item.valueType] || toolValueTypeList[0].jsonSchema
|
||||
: toolValueTypeList[0].jsonSchema;
|
||||
|
||||
schema.properties![item.key] = {
|
||||
...jsonSchema,
|
||||
|
@@ -110,6 +110,15 @@ export const getChannelList = () =>
|
||||
GET<ChannelListResponseType>('/channels/all', {
|
||||
page: 1,
|
||||
perPage: 10
|
||||
}).then((res) => {
|
||||
res.sort((a, b) => {
|
||||
if (a.status !== b.status) {
|
||||
return a.status - b.status;
|
||||
}
|
||||
return b.priority - a.priority;
|
||||
});
|
||||
console.log(res);
|
||||
return res;
|
||||
});
|
||||
|
||||
export const getChannelProviders = () =>
|
||||
|
@@ -14,7 +14,7 @@
|
||||
"mcp_test": "npx @modelcontextprotocol/inspector"
|
||||
},
|
||||
"dependencies": {
|
||||
"@modelcontextprotocol/sdk": "^1.10.2",
|
||||
"@modelcontextprotocol/sdk": "^1.12.1",
|
||||
"axios": "^1.8.2",
|
||||
"chalk": "^5.3.0",
|
||||
"dayjs": "^1.11.7",
|
||||
|
122
test/cases/global/core/app/jsonschema.test.ts
Normal file
122
test/cases/global/core/app/jsonschema.test.ts
Normal file
@@ -0,0 +1,122 @@
|
||||
import { describe, expect, it } from 'vitest';
|
||||
import type { JSONSchemaInputType } from '@fastgpt/global/core/app/jsonschema';
|
||||
import { jsonSchema2NodeInput } from '@fastgpt/global/core/app/jsonschema';
|
||||
|
||||
describe('jsonSchema2NodeInput', () => {
|
||||
it('should return correct node input', () => {
|
||||
const jsonSchema: JSONSchemaInputType = {
|
||||
type: 'object',
|
||||
properties: {
|
||||
name: { type: 'string' },
|
||||
select: { type: 'string', enum: ['11', '22'] },
|
||||
age: { type: 'number', minimum: 0, maximum: 100 },
|
||||
boolean: { type: 'boolean' },
|
||||
object: { type: 'object' },
|
||||
strArr: { type: 'array', items: { type: 'string' } },
|
||||
numArr: { type: 'array', items: { type: 'number' } },
|
||||
boolArr: { type: 'array', items: { type: 'boolean' } },
|
||||
objArr: { type: 'array', items: { type: 'object' } },
|
||||
anyArr: { type: 'array', items: { type: 'array' } }
|
||||
},
|
||||
required: ['name', 'age']
|
||||
};
|
||||
const expectResponse = [
|
||||
{
|
||||
key: 'name',
|
||||
label: 'name',
|
||||
valueType: 'string',
|
||||
toolDescription: 'name',
|
||||
required: true,
|
||||
renderTypeList: ['input']
|
||||
},
|
||||
{
|
||||
key: 'select',
|
||||
label: 'select',
|
||||
valueType: 'string',
|
||||
toolDescription: 'select',
|
||||
required: false,
|
||||
value: '11',
|
||||
renderTypeList: ['select'],
|
||||
list: [
|
||||
{
|
||||
label: '11',
|
||||
value: '11'
|
||||
},
|
||||
{
|
||||
label: '22',
|
||||
value: '22'
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
key: 'age',
|
||||
label: 'age',
|
||||
valueType: 'number',
|
||||
toolDescription: 'age',
|
||||
required: true,
|
||||
renderTypeList: ['numberInput'],
|
||||
max: 100,
|
||||
min: 0
|
||||
},
|
||||
{
|
||||
key: 'boolean',
|
||||
label: 'boolean',
|
||||
valueType: 'boolean',
|
||||
toolDescription: 'boolean',
|
||||
required: false,
|
||||
renderTypeList: ['switch']
|
||||
},
|
||||
{
|
||||
key: 'object',
|
||||
label: 'object',
|
||||
valueType: 'object',
|
||||
toolDescription: 'object',
|
||||
required: false,
|
||||
renderTypeList: ['JSONEditor']
|
||||
},
|
||||
{
|
||||
key: 'strArr',
|
||||
label: 'strArr',
|
||||
valueType: 'arrayString',
|
||||
toolDescription: 'strArr',
|
||||
required: false,
|
||||
renderTypeList: ['JSONEditor']
|
||||
},
|
||||
{
|
||||
key: 'numArr',
|
||||
label: 'numArr',
|
||||
valueType: 'arrayNumber',
|
||||
toolDescription: 'numArr',
|
||||
required: false,
|
||||
renderTypeList: ['JSONEditor']
|
||||
},
|
||||
{
|
||||
key: 'boolArr',
|
||||
label: 'boolArr',
|
||||
valueType: 'arrayBoolean',
|
||||
toolDescription: 'boolArr',
|
||||
required: false,
|
||||
renderTypeList: ['JSONEditor']
|
||||
},
|
||||
{
|
||||
key: 'objArr',
|
||||
label: 'objArr',
|
||||
valueType: 'arrayObject',
|
||||
toolDescription: 'objArr',
|
||||
required: false,
|
||||
renderTypeList: ['JSONEditor']
|
||||
},
|
||||
{
|
||||
key: 'anyArr',
|
||||
label: 'anyArr',
|
||||
valueType: 'arrayAny',
|
||||
toolDescription: 'anyArr',
|
||||
required: false,
|
||||
renderTypeList: ['JSONEditor']
|
||||
}
|
||||
];
|
||||
const result = jsonSchema2NodeInput(jsonSchema);
|
||||
|
||||
expect(result).toEqual(expectResponse);
|
||||
});
|
||||
});
|
@@ -1,293 +0,0 @@
|
||||
import { describe, expect, it, vi, beforeEach } from 'vitest';
|
||||
import {
|
||||
GET,
|
||||
POST,
|
||||
PUT,
|
||||
DELETE,
|
||||
responseSuccess,
|
||||
checkRes,
|
||||
responseError,
|
||||
getChannelList,
|
||||
getChannelProviders,
|
||||
postCreateChannel,
|
||||
putChannelStatus,
|
||||
putChannel,
|
||||
deleteChannel,
|
||||
getChannelLog,
|
||||
getLogDetail,
|
||||
getDashboardV2,
|
||||
instance
|
||||
} from '@/web/core/ai/channel';
|
||||
import axios from 'axios';
|
||||
|
||||
vi.mock('axios', () => ({
|
||||
default: {
|
||||
create: vi.fn(() => ({
|
||||
request: vi.fn(),
|
||||
interceptors: {
|
||||
response: {
|
||||
use: vi.fn()
|
||||
}
|
||||
}
|
||||
}))
|
||||
}
|
||||
}));
|
||||
|
||||
vi.mock('@fastgpt/web/common/system/utils', () => ({
|
||||
getWebReqUrl: () => 'http://localhost:3000'
|
||||
}));
|
||||
|
||||
describe('channel api', () => {
|
||||
const mockAxiosInstance = axios.create();
|
||||
|
||||
beforeEach(() => {
|
||||
vi.clearAllMocks();
|
||||
});
|
||||
|
||||
it('should handle successful response', () => {
|
||||
const response = {
|
||||
data: {
|
||||
success: true,
|
||||
data: { test: 'data' }
|
||||
}
|
||||
};
|
||||
expect(responseSuccess(response)).toBe(response);
|
||||
});
|
||||
|
||||
it('should check response data', async () => {
|
||||
const validData = {
|
||||
success: true,
|
||||
message: 'ok',
|
||||
data: { test: 'data' }
|
||||
};
|
||||
await expect(Promise.resolve(checkRes(validData))).resolves.toEqual({ test: 'data' });
|
||||
|
||||
const invalidData = {
|
||||
success: false,
|
||||
message: 'error'
|
||||
};
|
||||
await expect(Promise.resolve(checkRes(invalidData))).rejects.toEqual(invalidData);
|
||||
|
||||
await expect(Promise.resolve(checkRes(undefined))).rejects.toBe('服务器异常');
|
||||
});
|
||||
|
||||
it('should handle response error', async () => {
|
||||
await expect(responseError('test error')).rejects.toEqual({
|
||||
message: 'test error'
|
||||
});
|
||||
|
||||
await expect(responseError({ response: { data: 'error data' } })).rejects.toBe('error data');
|
||||
|
||||
await expect(responseError(undefined)).rejects.toEqual({
|
||||
message: '未知错误'
|
||||
});
|
||||
});
|
||||
|
||||
it('should make GET request', async () => {
|
||||
vi.spyOn(instance, 'request').mockResolvedValueOnce({
|
||||
data: {
|
||||
success: true,
|
||||
data: { result: 'test' }
|
||||
}
|
||||
});
|
||||
|
||||
const result = await GET('/test');
|
||||
expect(result).toEqual({ result: 'test' });
|
||||
});
|
||||
|
||||
it('should make POST request', async () => {
|
||||
vi.spyOn(instance, 'request').mockResolvedValueOnce({
|
||||
data: {
|
||||
success: true,
|
||||
data: { id: 1 }
|
||||
}
|
||||
});
|
||||
|
||||
const result = await POST('/test', { name: 'test' });
|
||||
expect(result).toEqual({ id: 1 });
|
||||
});
|
||||
|
||||
it('should get channel list', async () => {
|
||||
vi.spyOn(instance, 'request').mockResolvedValueOnce({
|
||||
data: {
|
||||
success: true,
|
||||
data: { channels: [], total: 0 }
|
||||
}
|
||||
});
|
||||
|
||||
const result = await getChannelList();
|
||||
expect(result).toEqual({ channels: [], total: 0 });
|
||||
});
|
||||
|
||||
it('should get channel providers', async () => {
|
||||
const mockProviders = {
|
||||
1: {
|
||||
defaultBaseUrl: 'test.com',
|
||||
keyHelp: 'help',
|
||||
name: 'Test Provider'
|
||||
}
|
||||
};
|
||||
|
||||
vi.spyOn(instance, 'request').mockResolvedValueOnce({
|
||||
data: {
|
||||
success: true,
|
||||
data: mockProviders
|
||||
}
|
||||
});
|
||||
|
||||
const result = await getChannelProviders();
|
||||
expect(result).toEqual(mockProviders);
|
||||
});
|
||||
|
||||
it('should create channel', async () => {
|
||||
vi.spyOn(instance, 'request').mockResolvedValueOnce({
|
||||
data: {
|
||||
success: true,
|
||||
data: { id: 1 }
|
||||
}
|
||||
});
|
||||
|
||||
const result = await postCreateChannel({
|
||||
type: 1,
|
||||
name: 'test',
|
||||
base_url: 'test.com',
|
||||
models: [],
|
||||
model_mapping: {},
|
||||
key: 'key'
|
||||
});
|
||||
|
||||
expect(result).toEqual({ id: 1 });
|
||||
});
|
||||
|
||||
it('should update channel status', async () => {
|
||||
vi.spyOn(instance, 'request').mockResolvedValueOnce({
|
||||
data: {
|
||||
success: true,
|
||||
data: true
|
||||
}
|
||||
});
|
||||
|
||||
const result = await putChannelStatus(1, 'active');
|
||||
expect(result).toBe(true);
|
||||
});
|
||||
|
||||
it('should update channel', async () => {
|
||||
vi.spyOn(instance, 'request').mockResolvedValueOnce({
|
||||
data: {
|
||||
success: true,
|
||||
data: { id: 1 }
|
||||
}
|
||||
});
|
||||
|
||||
const result = await putChannel({
|
||||
id: 1,
|
||||
type: 1,
|
||||
name: 'test',
|
||||
base_url: 'test.com',
|
||||
models: [],
|
||||
model_mapping: {},
|
||||
key: 'key',
|
||||
status: 'active'
|
||||
});
|
||||
|
||||
expect(result).toEqual({ id: 1 });
|
||||
});
|
||||
|
||||
it('should delete channel', async () => {
|
||||
vi.spyOn(instance, 'request').mockResolvedValueOnce({
|
||||
data: {
|
||||
success: true,
|
||||
data: true
|
||||
}
|
||||
});
|
||||
|
||||
const result = await deleteChannel(1);
|
||||
expect(result).toBe(true);
|
||||
});
|
||||
|
||||
it('should get channel logs', async () => {
|
||||
vi.spyOn(instance, 'request').mockResolvedValueOnce({
|
||||
data: {
|
||||
success: true,
|
||||
data: {
|
||||
logs: [],
|
||||
total: 0
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
const result = await getChannelLog({
|
||||
start_timestamp: 0,
|
||||
end_timestamp: 1000,
|
||||
offset: 0,
|
||||
pageSize: 10
|
||||
});
|
||||
|
||||
expect(result).toEqual({
|
||||
list: [],
|
||||
total: 0
|
||||
});
|
||||
});
|
||||
|
||||
it('should get log detail', async () => {
|
||||
vi.spyOn(instance, 'request').mockResolvedValueOnce({
|
||||
data: {
|
||||
success: true,
|
||||
data: {
|
||||
request_body: '{}',
|
||||
response_body: '{}'
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
const result = await getLogDetail(1);
|
||||
expect(result).toEqual({
|
||||
request_body: '{}',
|
||||
response_body: '{}'
|
||||
});
|
||||
});
|
||||
|
||||
it('should get dashboard data', async () => {
|
||||
vi.spyOn(instance, 'request').mockResolvedValueOnce({
|
||||
data: {
|
||||
success: true,
|
||||
data: [
|
||||
{
|
||||
timestamp: 1000,
|
||||
summary: [
|
||||
{
|
||||
model: 'gpt-3.5',
|
||||
total_tokens: 100,
|
||||
request_count: 10,
|
||||
total_price: 0.002
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
});
|
||||
|
||||
const result = await getDashboardV2({
|
||||
channel: 1,
|
||||
model: 'gpt-3.5',
|
||||
start_timestamp: 0,
|
||||
end_timestamp: 1000,
|
||||
timezone: 'UTC',
|
||||
timespan: 'minute'
|
||||
});
|
||||
|
||||
expect(result).toEqual([
|
||||
{
|
||||
timestamp: 1000,
|
||||
summary: [
|
||||
{
|
||||
model: 'gpt-3.5',
|
||||
total_tokens: 100,
|
||||
request_count: 10,
|
||||
total_price: 0.002
|
||||
}
|
||||
]
|
||||
}
|
||||
]);
|
||||
});
|
||||
});
|
Reference in New Issue
Block a user