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* perf: system toolset & mcp (#5200) * feat: support system toolset * fix: type * fix: system tool config * chore: mcptool config migrate * refactor: mcp toolset * fix: fe type error * fix: type error * fix: show version * chore: support extract tool's secretInputConfig out of inputs * chore: compatible with old version mcp * chore: adjust * deps: update dependency @fastgpt-skd/plugin * fix: version * fix: some bug (#5316) * chore: compatible with old version mcp * fix: version * fix: compatible bug * fix: mcp object params * fix: type error * chore: update test cases * chore: remove log * fix: toolset node name * optimize app logs sort (#5310) * log keys config modal * multiple select * api * fontsize * code * chatid * fix build * fix * fix component * change name * log keys config * fix * delete unused * fix * perf: log code * perf: send auth code modal enter press * fix log (#5328) * perf: mcp toolset comment * perf: log ui * remove log (#5347) * doc * fix: action * remove log * fix: Table Optimization (#5319) * feat: table test: 1 * feat: table test: 2 * feat: table test: 3 * feat: table test: 4 * feat: table test : 5 把maxSize改回chunkSize * feat: table test : 6 都删了,只看maxSize * feat: table test : 7 恢复初始,接下来删除标签功能 * feat: table test : 8 删除标签功能 * feat: table test : 9 删除标签功能成功 * feat: table test : 10 继续调试,修改trainingStates * feat: table test : 11 修改第一步 * feat: table test : 12 修改第二步 * feat: table test : 13 修改了HtmlTable2Md * feat: table test : 14 修改表头分块规则 * feat: table test : 15 前面表格分的太细了 * feat: table test : 16 改着改着表头又不加了 * feat: table test : 17 用CUSTOM_SPLIT_SIGN不行,重新改 * feat: table test : 18 表头仍然还会多加,但现在分块搞的合理了终于 * feat: table test : 19 还是需要搞好表头问题,先保存一下调试情况 * feat: table test : 20 调试结束,看一下replace有没有问题,没问题就pr * feat: table test : 21 先把注释删了 * feat: table test : 21 注释replace都改了,下面切main分支看看情况 * feat: table test : 22 修改旧文件 * feat: table test : 23 修改测试文件 * feat: table test : 24 xlsx表格处理 * feat: table test : 25 刚才没保存先com了 * feat: table test : 26 fix * feat: table test : 27 先com一版调试 * feat: table test : 28 试试放format2csv里 * feat: table test : 29 xlsx解决 * feat: table test : 30 tablesplit解决 * feat: table test : 31 * feat: table test : 32 * perf: table split * perf: mcp old version compatibility (#5342) * fix: system-tool secret inputs * fix: rewrite runtime node i18n for system tool * perf: mcp old version compatibility * fix: splitPluginId * fix: old mcp toolId * fix: filter secret key * feat: support system toolset activation * chore: remove log * perf: mcp update * perf: rewrite toolset * fix:delete variable id (#5335) * perf: variable update * fix: multiple select ui * perf: model config move to plugin * fix: var conflit * perf: variable checker * Avoid empty number * update doc time * fix: test * fix: mcp object * update count app * update count app --------- Co-authored-by: Finley Ge <32237950+FinleyGe@users.noreply.github.com> Co-authored-by: heheer <heheer@sealos.io> Co-authored-by: heheer <zhiyu44@qq.com> Co-authored-by: colnii <1286949794@qq.com> Co-authored-by: dreamer6680 <1468683855@qq.com>
87 lines
3.0 KiB
TypeScript
87 lines
3.0 KiB
TypeScript
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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export 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, FlowNodeInputTypeEnum.reference]
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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, FlowNodeInputTypeEnum.reference],
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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, FlowNodeInputTypeEnum.reference] };
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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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