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chore: move all tests into a single folder (#4160)

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Finley Ge
2025-03-14 11:39:44 +08:00
committed by GitHub
parent 3e21030536
commit bd369d3b09
7 changed files with 8 additions and 8 deletions
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358
projects/app/src/test/workflow/loopTest.json
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@@ -1,358 +0,0 @@
{
"nodes": [
{
"nodeId": "userGuide",
"name": "common:core.module.template.system_config",
"intro": "common:core.module.template.system_config_info",
"avatar": "core/workflow/template/systemConfig",
"flowNodeType": "userGuide",
"position": {
"x": 220.4077028616387,
"y": -429.3158723159836
},
"version": "481",
"inputs": [
{
"key": "welcomeText",
"renderTypeList": [
"hidden"
],
"valueType": "string",
"label": "core.app.Welcome Text",
"value": ""
},
{
"key": "variables",
"renderTypeList": [
"hidden"
],
"valueType": "any",
"label": "core.app.Chat Variable",
"value": []
},
{
"key": "questionGuide",
"valueType": "any",
"renderTypeList": [
"hidden"
],
"label": "core.app.Question Guide",
"value": {
"open": false
}
},
{
"key": "tts",
"renderTypeList": [
"hidden"
],
"valueType": "any",
"label": "",
"value": {
"type": "web"
}
},
{
"key": "whisper",
"renderTypeList": [
"hidden"
],
"valueType": "any",
"label": "",
"value": {
"open": false,
"autoSend": false,
"autoTTSResponse": false
}
},
{
"key": "scheduleTrigger",
"renderTypeList": [
"hidden"
],
"valueType": "any",
"label": "",
"value": null
}
],
"outputs": []
},
{
"nodeId": "448745",
"name": "common:core.module.template.work_start",
"intro": "",
"avatar": "core/workflow/template/workflowStart",
"flowNodeType": "workflowStart",
"position": {
"x": 773.4174945178407,
"y": -331.3158723159836
},
"version": "481",
"inputs": [
{
"key": "userChatInput",
"renderTypeList": [
"reference",
"textarea"
],
"valueType": "string",
"label": "common:core.module.input.label.user question",
"required": true,
"toolDescription": "用户问题",
"debugLabel": ""
}
],
"outputs": [
{
"id": "userChatInput",
"key": "userChatInput",
"label": "common:core.module.input.label.user question",
"type": "static",
"valueType": "string",
"description": ""
}
]
},
{
"nodeId": "nlv8iMRsvgkA",
"name": "批量执行",
"intro": "输入一个数组，遍历数组并将每一个数组元素作为输入元素，执行工作流。",
"avatar": "core/workflow/template/loop",
"flowNodeType": "loop",
"showStatus": true,
"position": {
"x": 1236,
"y": -593
},
"version": "4811",
"inputs": [
{
"key": "loopInputArray",
"renderTypeList": [
"reference"
],
"valueType": "arrayNumber",
"required": true,
"label": "数组",
"value": [
[
"VARIABLE_NODE_ID",
"list"
]
],
"valueDesc": "",
"description": "",
"debugLabel": "",
"toolDescription": ""
},
{
"key": "childrenNodeIdList",
"renderTypeList": [
"hidden"
],
"valueType": "arrayString",
"label": "",
"value": [
"tRxC7faEoGuE",
"cGnptXbKAyMN"
]
},
{
"key": "nodeWidth",
"renderTypeList": [
"hidden"
],
"valueType": "number",
"label": "",
"value": 1246.6404923618281
},
{
"key": "nodeHeight",
"renderTypeList": [
"hidden"
],
"valueType": "number",
"label": "",
"value": 642.1566957382456
},
{
"key": "loopNodeInputHeight",
"renderTypeList": [
"hidden"
],
"valueType": "number",
"label": "",
"value": 83,
"valueDesc": "",
"description": "",
"debugLabel": "",
"toolDescription": ""
}
],
"outputs": [
{
"id": "loopArray",
"key": "loopArray",
"label": "数组执行结果",
"type": "static",
"valueType": "arrayAny",
"valueDesc": "",
"description": ""
}
]
},
{
"nodeId": "tRxC7faEoGuE",
"parentNodeId": "nlv8iMRsvgkA",
"name": "开始",
"avatar": "core/workflow/template/loopStart",
"flowNodeType": "loopStart",
"showStatus": false,
"position": {
"x": 1305.782937883576,
"y": -270.30845154767246
},
"version": "4811",
"inputs": [
{
"key": "loopStartInput",
"renderTypeList": [
"hidden"
],
"valueType": "any",
"label": "",
"required": true,
"value": ""
},
{
"key": "loopStartIndex",
"renderTypeList": [
"hidden"
],
"valueType": "number",
"label": "workflow:Array_element_index"
}
],
"outputs": [
{
"id": "loopStartIndex",
"key": "loopStartIndex",
"label": "workflow:Array_element_index",
"type": "static",
"valueType": "number"
},
{
"id": "loopStartInput",
"key": "loopStartInput",
"label": "数组元素",
"type": "static",
"valueType": "number"
}
]
},
{
"nodeId": "cGnptXbKAyMN",
"parentNodeId": "nlv8iMRsvgkA",
"name": "结束",
"avatar": "core/workflow/template/loopEnd",
"flowNodeType": "loopEnd",
"showStatus": false,
"position": {
"x": 1929.4234302454042,
"y": 135.8482441905731
},
"version": "4811",
"inputs": [
{
"key": "loopEndInput",
"renderTypeList": [
"reference"
],
"valueType": "any",
"label": "",
"required": true,
"value": []
}
],
"outputs": []
},
{
"nodeId": "zpOBWBxfyUap",
"parentNodeId": "nlv8iMRsvgkA",
"name": "指定回复",
"intro": "该模块可以直接回复一段指定的内容。常用于引导、提示。非字符串内容传入时，会转成字符串进行输出。",
"avatar": "core/workflow/template/reply",
"flowNodeType": "answerNode",
"position": {
"x": 1806.423430245404,
"y": -217.4185397094268
},
"version": "481",
"inputs": [
{
"key": "text",
"renderTypeList": [
"textarea",
"reference"
],
"valueType": "any",
"required": true,
"label": "回复的内容",
"description": "可以使用 \\n 来实现连续换行。\n可以通过外部模块输入实现回复，外部模块输入时会覆盖当前填写的内容。\n如传入非字符串类型数据将会自动转成字符串",
"placeholder": "common:core.module.input.description.Response content",
"value": "{{$tRxC7faEoGuE.loopStartInput$}}",
"valueDesc": "",
"debugLabel": "",
"toolDescription": ""
}
],
"outputs": []
}
],
"edges": [
{
"source": "448745",
"target": "nlv8iMRsvgkA",
"sourceHandle": "448745-source-right",
"targetHandle": "nlv8iMRsvgkA-target-left"
},
{
"source": "tRxC7faEoGuE",
"target": "zpOBWBxfyUap",
"sourceHandle": "tRxC7faEoGuE-source-right",
"targetHandle": "zpOBWBxfyUap-target-left"
}
],
"chatConfig": {
"variables": [
{
"id": "04sm7m",
"key": "list",
"label": "list",
"type": "custom",
"description": "",
"required": false,
"valueType": "arrayNumber",
"list": [
{
"value": "",
"label": ""
}
],
"defaultValue": "[1,2,3]",
"enums": [
{
"value": "",
"label": ""
}
]
}
],
"_id": "67a8d281b54c01f7bd95c995",
"scheduledTriggerConfig": {
"cronString": "",
"timezone": "Asia/Shanghai",
"defaultPrompt": ""
}
}
}

319
projects/app/src/test/workflow/simple.json
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@@ -1,319 +0,0 @@
{
"nodes": [
{
"nodeId": "userGuide",
"name": "系统配置",
"intro": "",
"avatar": "core/workflow/template/systemConfig",
"flowNodeType": "userGuide",
"position": {
"x": 531.2422736065552,
"y": -486.7611729549753
},
"version": "481",
"inputs": [],
"outputs": []
},
{
"nodeId": "workflowStartNodeId",
"name": "流程开始",
"intro": "",
"avatar": "core/workflow/template/workflowStart",
"flowNodeType": "workflowStart",
"position": {
"x": 531.2422736065552,
"y": 244.69591764653183
},
"version": "481",
"inputs": [
{
"key": "userChatInput",
"renderTypeList": [
"reference",
"textarea"
],
"valueType": "string",
"label": "workflow:user_question",
"toolDescription": "用户问题",
"required": true,
"debugLabel": ""
}
],
"outputs": [
{
"id": "userChatInput",
"key": "userChatInput",
"label": "common:core.module.input.label.user question",
"type": "static",
"valueType": "string",
"description": ""
},
{
"id": "userFiles",
"key": "userFiles",
"label": "app:workflow.user_file_input",
"description": "app:workflow.user_file_input_desc",
"type": "static",
"valueType": "arrayString"
}
]
},
{
"nodeId": "7BdojPlukIQw",
"name": "AI 对话",
"intro": "AI 大模型对话",
"avatar": "core/workflow/template/aiChat",
"flowNodeType": "chatNode",
"showStatus": true,
"position": {
"x": 1106.3238387960757,
"y": -350.6030674683474
},
"version": "4813",
"inputs": [
{
"key": "model",
"renderTypeList": [
"settingLLMModel",
"reference"
],
"label": "",
"valueType": "string",
"value": "deepseek-reasoner",
"debugLabel": "",
"toolDescription": ""
},
{
"key": "temperature",
"renderTypeList": [
"hidden"
],
"label": "",
"value": 0,
"valueType": "number",
"min": 0,
"max": 10,
"step": 1,
"debugLabel": "",
"toolDescription": ""
},
{
"key": "maxToken",
"renderTypeList": [
"hidden"
],
"label": "",
"value": 8000,
"valueType": "number",
"min": 100,
"max": 4000,
"step": 50,
"debugLabel": "",
"toolDescription": ""
},
{
"key": "isResponseAnswerText",
"renderTypeList": [
"hidden"
],
"label": "",
"value": true,
"valueType": "boolean",
"debugLabel": "",
"toolDescription": ""
},
{
"key": "aiChatQuoteRole",
"renderTypeList": [
"hidden"
],
"label": "",
"valueType": "string",
"value": "system",
"debugLabel": "",
"toolDescription": ""
},
{
"key": "quoteTemplate",
"renderTypeList": [
"hidden"
],
"label": "",
"valueType": "string",
"debugLabel": "",
"toolDescription": ""
},
{
"key": "quotePrompt",
"renderTypeList": [
"hidden"
],
"label": "",
"valueType": "string",
"debugLabel": "",
"toolDescription": ""
},
{
"key": "aiChatVision",
"renderTypeList": [
"hidden"
],
"label": "",
"valueType": "boolean",
"value": true,
"debugLabel": "",
"toolDescription": ""
},
{
"key": "aiChatReasoning",
"renderTypeList": [
"hidden"
],
"label": "",
"valueType": "boolean",
"value": true,
"debugLabel": "",
"toolDescription": ""
},
{
"key": "systemPrompt",
"renderTypeList": [
"textarea",
"reference"
],
"max": 3000,
"valueType": "string",
"label": "core.ai.Prompt",
"description": "core.app.tip.systemPromptTip",
"placeholder": "core.app.tip.chatNodeSystemPromptTip",
"value": "",
"debugLabel": "",
"toolDescription": ""
},
{
"key": "history",
"renderTypeList": [
"numberInput",
"reference"
],
"valueType": "chatHistory",
"label": "core.module.input.label.chat history",
"required": true,
"min": 0,
"max": 50,
"value": 6,
"description": "workflow:max_dialog_rounds",
"debugLabel": "",
"toolDescription": ""
},
{
"key": "quoteQA",
"renderTypeList": [
"settingDatasetQuotePrompt"
],
"label": "",
"debugLabel": "知识库引用",
"description": "",
"valueType": "datasetQuote",
"toolDescription": ""
},
{
"key": "fileUrlList",
"renderTypeList": [
"reference",
"input"
],
"label": "app:file_quote_link",
"debugLabel": "文件链接",
"valueType": "arrayString",
"value": [
[
"workflowStartNodeId",
"userFiles"
]
],
"toolDescription": ""
},
{
"key": "userChatInput",
"renderTypeList": [
"reference",
"textarea"
],
"valueType": "string",
"label": "common:core.module.input.label.user question",
"required": true,
"toolDescription": "用户问题",
"value": [
"workflowStartNodeId",
"userChatInput"
],
"debugLabel": ""
}
],
"outputs": [
{
"id": "history",
"key": "history",
"required": true,
"label": "common:core.module.output.label.New context",
"description": "将本次回复内容拼接上历史记录，作为新的上下文返回",
"valueType": "chatHistory",
"valueDesc": "{\n obj: System | Human | AI;\n value: string;\n}[]",
"type": "static"
},
{
"id": "answerText",
"key": "answerText",
"required": true,
"label": "common:core.module.output.label.Ai response content",
"description": "将在 stream 回复完毕后触发",
"valueType": "string",
"type": "static"
}
]
}
],
"edges": [
{
"source": "workflowStartNodeId",
"target": "7BdojPlukIQw",
"sourceHandle": "workflowStartNodeId-source-right",
"targetHandle": "7BdojPlukIQw-target-left"
}
],
"chatConfig": {
"questionGuide": false,
"ttsConfig": {
"type": "web"
},
"whisperConfig": {
"open": false,
"autoSend": false,
"autoTTSResponse": false
},
"scheduledTriggerConfig": {
"cronString": "",
"timezone": "Asia/Shanghai",
"defaultPrompt": ""
},
"chatInputGuide": {
"open": false,
"textList": [],
"customUrl": ""
},
"instruction": "",
"autoExecute": {
"open": false,
"defaultPrompt": ""
},
"welcomeText": "",
"variables": [],
"fileSelectConfig": {
"canSelectFile": false,
"canSelectImg": false,
"maxFiles": 10
},
"_id": "66f4c2f5e9e4e93a95141004"
}
}

82
projects/app/src/test/workflow/workflow.test.ts
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@@ -1,82 +0,0 @@
import { readFileSync } from 'fs';
import { resolve } from 'path';
import { describe, it, expect, beforeEach, vi } from 'vitest';
import { dispatchWorkFlow } from '@fastgpt/service/core/workflow/dispatch';
import {
getWorkflowEntryNodeIds,
storeNodes2RuntimeNodes
} from '@fastgpt/global/core/workflow/runtime/utils';
import { ChatItemValueTypeEnum } from '@fastgpt/global/core/chat/constants';
vi.mock(import('@fastgpt/service/common/string/tiktoken'), async (importOriginal) => {
const mod = await importOriginal();
return {
...mod,
countGptMessagesTokens: async () => {
return 1;
}
};
});
vi.mock(import('@fastgpt/service/support/wallet/usage/utils'), async (importOriginal) => {
const mod = await importOriginal();
return {
...mod,
formatModelChars2Points: () => ({
modelName: 'test',
totalPoints: 1
})
};
});
const testWorkflow = async (path: string) => {
const workflowStr = readFileSync(resolve(path), 'utf-8');
const workflow = JSON.parse(workflowStr);
const { nodes, edges, chatConfig } = workflow;
let runtimeNodes = storeNodes2RuntimeNodes(nodes, getWorkflowEntryNodeIds(nodes));
const variables = {};
const { assistantResponses, flowResponses } = await dispatchWorkFlow({
mode: 'test',
runningAppInfo: {
id: 'test',
teamId: 'test',
tmbId: 'test'
},
runningUserInfo: {
tmbId: 'test',
teamId: 'test'
},
timezone: 'Asia/Shanghai',
externalProvider: {},
uid: 'test',
runtimeNodes,
runtimeEdges: edges,
variables,
query: [
{
type: ChatItemValueTypeEnum.text,
text: {
content: '你是谁'
}
}
],
chatConfig,
histories: [],
stream: false,
maxRunTimes: 5
});
expect(assistantResponses).toBeDefined();
expect(assistantResponses[0].text?.content).toBeDefined();
return {
assistantResponses,
flowResponses
};
};
it('Workflow test: simple workflow', async () => {
// create a simple app
await testWorkflow('projects/app/src/test/workflow/simple.json');
});
it('Workflow test: output test', async () => {
console.log(await testWorkflow('projects/app/src/test/workflow/loopTest.json'));
});