mirror of
https://github.com/labring/FastGPT.git
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V4.9.1 feature (#4206)
* fix: remove DefaultTeam (#4037) * fix :Get application bound knowledge base information logical rewrite (#4057) * fix :Get application bound knowledge base information logical rewrite * fix :Get application bound knowledge base information logical rewrite * fix :Get application bound knowledge base information logical rewrite * fix :Get application bound knowledge base information logical rewrite * update package * fix: import dataset step error;perf: ai proxy avatar (#4074) * perf: pg config params * perf: ai proxy avatar * fix: import dataset step error * feat: data input ux * perf: app dataset rewite * fix: 文本提取不支持arrayString,arrayNumber等jsonSchema (#4079) * update doc ;perf: model test (#4098) * perf: extract array * update doc * perf: model test * perf: model test * perf: think tag parse (#4102) * chat quote reader (#3912) * init chat quote full text reader * linked structure * dataset data linked * optimize code * fix ts build * test finish * delete log * fix * fix ts * fix ts * remove nextId * initial scroll * fix * fix * perf: chunk read (#4109) * package * perf: chunk read * feat: api dataset support pdf parse;fix: chunk reader auth (#4117) * feat: api dataset support pdf parse * fix: chunk reader auth * feat: invitation link (#3979) * feat: invitation link schema and apis * feat: add invitation link * feat: member status: active, leave, forbidden * fix: expires show hours and minutes * feat: invalid invitation link hint * fix: typo * chore: fix typo & i18n * fix * pref: fe * feat: add ttl index for 30-day-clean-up * perf: invite member code (#4118) * perf: invite member code * fix: ts * fix: model test channel id;fix: quote reader (#4123) * fix: model test channel id * fix: quote reader * fix chat quote reader (#4125) * perf: model test;perf: sidebar trigger (#4127) * fix: import dataset step error;perf: ai proxy avatar (#4074) * perf: pg config params * perf: ai proxy avatar * fix: import dataset step error * feat: data input ux * perf: app dataset rewite * perf: model test * perf: sidebar trigger * lock * update nanoid version * fix: select component ux * fix: ts * fix: vitest * remove test * fix: prompt toolcall ui (#4139) * load log error adapt * fix: prompt toolcall ui * perf: commercial function tip * update package * pref: copy link (#4147) * fix(i18n): namespace (#4143) * hiden dataset source (#4152) * hiden dataset source * perf: reader * chore: move all tests into a single folder (#4160) * fix modal close scroll (#4162) * fix modal close scroll * update refresh * feat: rerank modal select and weight (#4164) * fix loadInitData refresh (#4169) * fix * fix * form input number default & api dataset max token * feat: mix search weight (#4170) * feat: mix search weight * feat: svg render * fix: avatar error remove (#4173) * fix: avatar error remove * fix: index * fix: guide * fix: auth * update package;fix: input data model ui (#4181) * update package * fix: ts * update config * update jieba package * add type sign * fix: input data ui * fix: page title refresh (#4186) * fix: ts * update jieba package * fix: page title refresh * fix: remove member length check when opening invite create modal (#4193) * add env to check internal ip (#4187) * fix: ts * update jieba package * add env to check internal ip * package * fix: jieba * reset package * update config * fix: jieba package * init shell * init version * change team reload * update jieba package (#4200) * update jieba package * package * update package * remove invalid code * action * package (#4201) * package * update package * remove invalid code * package * remove i18n tip (#4202) * doc (#4205) * fix: i18n (#4208) * fix: next config (#4207) * reset package * i18n * update config * i18n * remove log --------- Co-authored-by: Finley Ge <32237950+FinleyGe@users.noreply.github.com> Co-authored-by: gggaaallleee <91131304+gggaaallleee@users.noreply.github.com> Co-authored-by: shilin <39396378+shilin66@users.noreply.github.com> Co-authored-by: heheer <heheer@sealos.io>
This commit is contained in:
358
test/cases/spec/workflow/loopTest.json
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358
test/cases/spec/workflow/loopTest.json
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@@ -0,0 +1,358 @@
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{
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"nodes": [
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{
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"nodeId": "userGuide",
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"name": "common:core.module.template.system_config",
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"intro": "common:core.module.template.system_config_info",
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"avatar": "core/workflow/template/systemConfig",
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"flowNodeType": "userGuide",
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"position": {
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"version": "481",
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"inputs": [
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"hidden"
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"renderTypeList": [
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"hidden"
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"value": []
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},
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{
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"key": "questionGuide",
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"valueType": "any",
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"renderTypeList": [
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"hidden"
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],
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"label": "core.app.Question Guide",
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"value": {
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"open": false
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}
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},
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{
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"key": "tts",
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"hidden"
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"valueType": "any",
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"label": "",
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"value": {
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"type": "web"
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}
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},
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{
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"key": "whisper",
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"renderTypeList": [
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"hidden"
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],
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"valueType": "any",
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"label": "",
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"value": {
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"open": false,
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"autoSend": false,
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"autoTTSResponse": false
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}
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},
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{
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"key": "scheduleTrigger",
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"renderTypeList": [
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"hidden"
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],
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"valueType": "any",
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"label": "",
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"value": null
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}
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],
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"outputs": []
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},
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{
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"nodeId": "448745",
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"name": "common:core.module.template.work_start",
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"intro": "",
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"avatar": "core/workflow/template/workflowStart",
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"flowNodeType": "workflowStart",
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"position": {
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"x": 773.4174945178407,
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"y": -331.3158723159836
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},
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"version": "481",
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"inputs": [
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{
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"key": "userChatInput",
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"renderTypeList": [
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"reference",
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"textarea"
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],
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"valueType": "string",
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"label": "common:core.module.input.label.user question",
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"required": true,
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"toolDescription": "用户问题",
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"debugLabel": ""
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}
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],
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"outputs": [
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{
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"id": "userChatInput",
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"key": "userChatInput",
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"label": "common:core.module.input.label.user question",
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"type": "static",
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"valueType": "string",
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"description": ""
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}
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]
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},
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{
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"nodeId": "nlv8iMRsvgkA",
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"name": "批量执行",
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"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。",
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"avatar": "core/workflow/template/loop",
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"flowNodeType": "loop",
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"showStatus": true,
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"position": {
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"x": 1236,
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"y": -593
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},
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"version": "4811",
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"inputs": [
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{
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"key": "loopInputArray",
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"renderTypeList": [
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"reference"
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],
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"valueType": "arrayNumber",
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"required": true,
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"label": "数组",
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"value": [
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[
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"VARIABLE_NODE_ID",
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"list"
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]
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],
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"valueDesc": "",
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"description": "",
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"debugLabel": "",
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"toolDescription": ""
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},
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{
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"key": "childrenNodeIdList",
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"renderTypeList": [
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"hidden"
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],
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"valueType": "arrayString",
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"label": "",
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"value": [
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"tRxC7faEoGuE",
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"cGnptXbKAyMN"
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]
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},
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{
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"key": "nodeWidth",
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"renderTypeList": [
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"hidden"
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],
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"valueType": "number",
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"label": "",
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"value": 1246.6404923618281
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},
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{
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"key": "nodeHeight",
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"renderTypeList": [
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"hidden"
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],
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"valueType": "number",
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"label": "",
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"value": 642.1566957382456
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},
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{
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"key": "loopNodeInputHeight",
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"renderTypeList": [
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"hidden"
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],
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"valueType": "number",
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"label": "",
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"value": 83,
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"valueDesc": "",
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"description": "",
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"debugLabel": "",
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"toolDescription": ""
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}
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],
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"outputs": [
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{
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"id": "loopArray",
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"key": "loopArray",
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"label": "数组执行结果",
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"type": "static",
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"valueType": "arrayAny",
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"valueDesc": "",
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"description": ""
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}
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]
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},
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{
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"nodeId": "tRxC7faEoGuE",
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"parentNodeId": "nlv8iMRsvgkA",
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"name": "开始",
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"avatar": "core/workflow/template/loopStart",
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"flowNodeType": "loopStart",
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"showStatus": false,
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"position": {
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"x": 1305.782937883576,
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"y": -270.30845154767246
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},
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"version": "4811",
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"inputs": [
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{
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"key": "loopStartInput",
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"renderTypeList": [
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"hidden"
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],
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"valueType": "any",
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"label": "",
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"required": true,
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"value": ""
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},
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{
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"key": "loopStartIndex",
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"renderTypeList": [
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"hidden"
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],
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"valueType": "number",
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"label": "workflow:Array_element_index"
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}
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],
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"outputs": [
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{
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"id": "loopStartIndex",
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"key": "loopStartIndex",
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"label": "workflow:Array_element_index",
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"type": "static",
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"valueType": "number"
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},
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{
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"id": "loopStartInput",
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"key": "loopStartInput",
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"label": "数组元素",
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"type": "static",
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"valueType": "number"
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}
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]
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},
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{
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"nodeId": "cGnptXbKAyMN",
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"parentNodeId": "nlv8iMRsvgkA",
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"name": "结束",
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"avatar": "core/workflow/template/loopEnd",
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"flowNodeType": "loopEnd",
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"showStatus": false,
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"position": {
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"x": 1929.4234302454042,
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"y": 135.8482441905731
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},
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"version": "4811",
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"inputs": [
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{
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"key": "loopEndInput",
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"renderTypeList": [
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"reference"
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],
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"valueType": "any",
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"label": "",
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"required": true,
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"value": []
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}
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],
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"outputs": []
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},
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{
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"nodeId": "zpOBWBxfyUap",
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"parentNodeId": "nlv8iMRsvgkA",
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"name": "指定回复",
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"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。",
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"avatar": "core/workflow/template/reply",
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"flowNodeType": "answerNode",
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"position": {
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"x": 1806.423430245404,
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"y": -217.4185397094268
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},
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"version": "481",
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"inputs": [
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{
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"key": "text",
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"renderTypeList": [
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"textarea",
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"reference"
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],
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"valueType": "any",
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"required": true,
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"label": "回复的内容",
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"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",
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"placeholder": "common:core.module.input.description.Response content",
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"value": "{{$tRxC7faEoGuE.loopStartInput$}}",
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"valueDesc": "",
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"debugLabel": "",
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"toolDescription": ""
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}
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],
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"outputs": []
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}
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],
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"edges": [
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{
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"source": "448745",
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"target": "nlv8iMRsvgkA",
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"sourceHandle": "448745-source-right",
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"targetHandle": "nlv8iMRsvgkA-target-left"
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},
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{
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"source": "tRxC7faEoGuE",
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"target": "zpOBWBxfyUap",
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"sourceHandle": "tRxC7faEoGuE-source-right",
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"targetHandle": "zpOBWBxfyUap-target-left"
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}
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],
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"chatConfig": {
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"variables": [
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{
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"id": "04sm7m",
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"key": "list",
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"label": "list",
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"type": "custom",
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"description": "",
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"required": false,
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"valueType": "arrayNumber",
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"list": [
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{
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"value": "",
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"label": ""
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}
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],
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"defaultValue": "[1,2,3]",
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"enums": [
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{
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"value": "",
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"label": ""
|
||||
}
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]
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||||
}
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],
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"_id": "67a8d281b54c01f7bd95c995",
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"scheduledTriggerConfig": {
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"cronString": "",
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"timezone": "Asia/Shanghai",
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"defaultPrompt": ""
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}
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}
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}
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319
test/cases/spec/workflow/simple.json
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319
test/cases/spec/workflow/simple.json
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{
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"nodes": [
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{
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"nodeId": "userGuide",
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"name": "系统配置",
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"intro": "",
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"avatar": "core/workflow/template/systemConfig",
|
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"flowNodeType": "userGuide",
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"position": {
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"x": 531.2422736065552,
|
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"y": -486.7611729549753
|
||||
},
|
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"version": "481",
|
||||
"inputs": [],
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"outputs": []
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||||
},
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{
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"nodeId": "workflowStartNodeId",
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"name": "流程开始",
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"intro": "",
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"avatar": "core/workflow/template/workflowStart",
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"flowNodeType": "workflowStart",
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||||
"position": {
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"x": 531.2422736065552,
|
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"y": 244.69591764653183
|
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},
|
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"version": "481",
|
||||
"inputs": [
|
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{
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"key": "userChatInput",
|
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"renderTypeList": [
|
||||
"reference",
|
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"textarea"
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||||
],
|
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"valueType": "string",
|
||||
"label": "workflow:user_question",
|
||||
"toolDescription": "用户问题",
|
||||
"required": true,
|
||||
"debugLabel": ""
|
||||
}
|
||||
],
|
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"outputs": [
|
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{
|
||||
"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
test/cases/spec/workflow/workflow.test.ts
Normal file
82
test/cases/spec/workflow/workflow.test.ts
Normal file
@@ -0,0 +1,82 @@
|
||||
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('test/cases/workflow/simple.json');
|
||||
});
|
||||
|
||||
it('Workflow test: output test', async () => {
|
||||
console.log(await testWorkflow('test/cases/workflow/loopTest.json'));
|
||||
});
|
Reference in New Issue
Block a user