FastGPT/packages/global/core/app/mcpTools/utils.ts
Theresa 2d3117c5da
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feat: update ESLint config with @typescript-eslint/consistent-type-imports (#4746)
* update: Add type

* fix: update import statement for NextApiRequest type

* fix: update imports to use type for LexicalEditor and EditorState

* Refactor imports to use 'import type' for type-only imports across multiple files

- Updated imports in various components and API files to use 'import type' for better clarity and to optimize TypeScript's type checking.
- Ensured consistent usage of type imports in files related to chat, dataset, workflow, and user management.
- Improved code readability and maintainability by distinguishing between value and type imports.

* refactor: remove old ESLint configuration and add new rules

- Deleted the old ESLint configuration file from the app project.
- Added a new ESLint configuration file with updated rules and settings.
- Changed imports to use type-only imports in various files for better clarity and performance.
- Updated TypeScript configuration to remove unnecessary options.
- Added an ESLint ignore file to exclude build and dependency directories from linting.

* fix: update imports to use 'import type' for type-only imports in schema files
2025-05-06 17:33:09 +08:00

98 lines
2.6 KiB
TypeScript

import { NodeOutputKeyEnum, WorkflowIOValueTypeEnum } from '../../workflow/constants';
import {
FlowNodeInputTypeEnum,
FlowNodeOutputTypeEnum,
FlowNodeTypeEnum
} from '../../workflow/node/constant';
import { nanoid } from 'nanoid';
import { type ToolType } from '../type';
import { i18nT } from '../../../../web/i18n/utils';
import { type RuntimeNodeItemType } from '../../workflow/runtime/type';
export const getMCPToolSetRuntimeNode = ({
url,
toolList,
name,
avatar
}: {
url: string;
toolList: ToolType[];
name?: string;
avatar?: string;
}): RuntimeNodeItemType => {
return {
nodeId: nanoid(16),
flowNodeType: FlowNodeTypeEnum.toolSet,
avatar,
intro: 'MCP Tools',
inputs: [
{
key: 'toolSetData',
label: 'Tool Set Data',
valueType: WorkflowIOValueTypeEnum.object,
renderTypeList: [FlowNodeInputTypeEnum.hidden],
value: { url, toolList }
}
],
outputs: [],
name: name || '',
version: ''
};
};
export const getMCPToolRuntimeNode = ({
tool,
url,
avatar = 'core/app/type/mcpToolsFill'
}: {
tool: ToolType;
url: string;
avatar?: string;
}): RuntimeNodeItemType => {
return {
nodeId: nanoid(16),
flowNodeType: FlowNodeTypeEnum.tool,
avatar,
intro: tool.description,
inputs: [
{
key: 'toolData',
label: 'Tool Data',
valueType: WorkflowIOValueTypeEnum.object,
renderTypeList: [FlowNodeInputTypeEnum.hidden],
value: { ...tool, url }
},
...Object.entries(tool.inputSchema?.properties || {}).map(([key, value]) => ({
key,
label: key,
valueType: value.type as WorkflowIOValueTypeEnum,
description: value.description,
toolDescription: value.description || key,
required: tool.inputSchema?.required?.includes(key) || false,
renderTypeList: [
value.type === 'string'
? FlowNodeInputTypeEnum.input
: value.type === 'number'
? FlowNodeInputTypeEnum.numberInput
: value.type === 'boolean'
? FlowNodeInputTypeEnum.switch
: FlowNodeInputTypeEnum.JSONEditor
]
}))
],
outputs: [
{
id: NodeOutputKeyEnum.rawResponse,
key: NodeOutputKeyEnum.rawResponse,
required: true,
label: i18nT('workflow:raw_response'),
description: i18nT('workflow:tool_raw_response_description'),
valueType: WorkflowIOValueTypeEnum.any,
type: FlowNodeOutputTypeEnum.static
}
],
name: tool.name,
version: ''
};
};