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9038fe1bdf
- 抽取 MCP 草稿 seed 构建逻辑供 UI 和内置工具复用 - inspect_mcp_draft 返回脱敏 suggestedServerSeed - 同步 slash 命令、系统指导和回归测试
470 lines
16 KiB
TypeScript
470 lines
16 KiB
TypeScript
import { describe, expect, it, vi } from 'vitest';
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import type { AIToolCall, SavedConnection } from '../../types';
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import { executeLocalAIToolCall } from './aiLocalToolExecutor';
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const buildConnection = (): SavedConnection => ({
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id: 'conn-1',
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name: '主库',
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config: {
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type: 'mysql',
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host: '127.0.0.1',
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port: 3306,
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user: 'root',
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},
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});
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const buildToolCall = (name: string, args: Record<string, unknown>): AIToolCall => ({
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id: `call-${name}`,
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type: 'function',
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function: {
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name,
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arguments: JSON.stringify(args),
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},
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});
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describe('aiLocalToolExecutor AI config inspection tools', () => {
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it('returns the current ai runtime snapshot so the model can inspect provider, safety, skills, and tools', async () => {
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const result = await executeLocalAIToolCall({
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toolCall: buildToolCall('inspect_ai_runtime', {}),
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connections: [buildConnection()],
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mcpTools: [{
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alias: 'browser_open',
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originalName: 'browser_open',
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serverId: 'server-1',
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serverName: 'browser',
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title: '打开浏览器',
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description: '打开页面',
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}],
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skills: [{
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id: 'skill-1',
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name: '结构审查',
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systemPrompt: '先核对字段',
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enabled: true,
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scopes: ['database'],
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requiredTools: ['get_columns'],
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}],
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dynamicModels: ['gpt-5.4', 'gpt-4.1'],
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toolContextMap: new Map(),
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runtime: {
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getDatabases: vi.fn(),
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getTables: vi.fn(),
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getAIRuntimeState: vi.fn().mockResolvedValue({
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activeProviderId: 'provider-1',
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providers: [{
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id: 'provider-1',
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type: 'openai',
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name: 'OpenAI 主账号',
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apiKey: '',
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hasSecret: true,
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baseUrl: 'https://api.openai.com/v1',
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model: 'gpt-5.4',
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models: ['gpt-5.4', 'gpt-4.1'],
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maxTokens: 32000,
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temperature: 0.2,
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}],
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safetyLevel: 'readonly',
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contextLevel: 'with_samples',
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}),
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},
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});
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expect(result.success).toBe(true);
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expect(result.content).toContain('"hasActiveProvider":true');
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expect(result.content).toContain('"name":"OpenAI 主账号"');
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expect(result.content).toContain('"safetyLevel":"readonly"');
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expect(result.content).toContain('"contextLevel":"with_samples"');
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expect(result.content).toContain('"enabledSkillCount":1');
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expect(result.content).toContain('"alias":"browser_open"');
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expect(result.content).toContain('"builtinToolCount":');
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});
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it('returns the current ai safety snapshot so the model can inspect write boundaries and readonly guards', async () => {
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const result = await executeLocalAIToolCall({
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toolCall: buildToolCall('inspect_ai_safety', {}),
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connections: [{
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id: 'jvm-1',
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name: 'JVM 诊断环境',
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config: {
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type: 'jvm',
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host: '10.0.0.8',
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port: 0,
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user: '',
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jvm: {
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environment: 'uat',
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readOnly: true,
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diagnostic: {
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transport: 'agent-bridge',
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allowObserveCommands: true,
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allowTraceCommands: true,
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allowMutatingCommands: false,
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},
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},
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},
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}],
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tabs: [{
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id: 'diag-tab-1',
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title: 'JVM 诊断',
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type: 'jvm-diagnostic',
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connectionId: 'jvm-1',
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readOnly: true,
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}],
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activeTabId: 'diag-tab-1',
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mcpTools: [],
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toolContextMap: new Map(),
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runtime: {
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getDatabases: vi.fn(),
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getTables: vi.fn(),
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getAIRuntimeState: vi.fn().mockResolvedValue({
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safetyLevel: 'readwrite',
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}),
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},
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});
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expect(result.success).toBe(true);
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expect(result.content).toContain('"safetyLevel":"readwrite"');
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expect(result.content).toContain('"allowDML":true');
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expect(result.content).toContain('"allowDDL":false');
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expect(result.content).toContain('"readOnly":true');
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expect(result.content).toContain('"allowMutatingCommands":false');
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expect(result.content).toContain('allowMutating=true');
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});
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it('returns the current ai provider snapshot so the model can inspect provider readiness and model selection', async () => {
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const result = await executeLocalAIToolCall({
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toolCall: buildToolCall('inspect_ai_providers', {}),
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connections: [buildConnection()],
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mcpTools: [],
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dynamicModels: ['gpt-5.4', 'gpt-4.1-mini'],
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toolContextMap: new Map(),
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runtime: {
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getDatabases: vi.fn(),
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getTables: vi.fn(),
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getAIRuntimeState: vi.fn().mockResolvedValue({
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activeProviderId: 'provider-1',
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providers: [
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{
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id: 'provider-1',
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type: 'openai',
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name: 'OpenAI 主账号',
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apiKey: '',
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hasSecret: true,
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baseUrl: 'https://api.openai.com/v1',
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model: 'gpt-5.4',
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models: ['gpt-5.4', 'gpt-4.1'],
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maxTokens: 32000,
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temperature: 0.2,
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},
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{
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id: 'provider-2',
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type: 'custom',
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name: '自建代理',
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apiKey: '',
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hasSecret: false,
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baseUrl: '',
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model: '',
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models: [],
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headers: {
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Authorization: 'Bearer secret-token',
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},
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maxTokens: 16000,
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temperature: 0.7,
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},
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],
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}),
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},
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});
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expect(result.success).toBe(true);
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expect(result.content).toContain('"providerCount":2');
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expect(result.content).toContain('"missingSecretCount":1');
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expect(result.content).toContain('"name":"OpenAI 主账号"');
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expect(result.content).toContain('"name":"自建代理"');
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expect(result.content).toContain('"issues":["missing_secret","missing_base_url","missing_selected_model","missing_declared_models"]');
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expect(result.content).not.toContain('secret-token');
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});
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it('returns the current chat readiness snapshot so the model can inspect why ai input cannot send yet', async () => {
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const result = await executeLocalAIToolCall({
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toolCall: buildToolCall('inspect_ai_chat_readiness', {}),
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connections: [buildConnection()],
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mcpTools: [],
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dynamicModels: ['gpt-5.5', 'gpt-4.1-mini'],
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activeContext: {
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connectionId: 'conn-1',
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dbName: 'demo',
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},
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aiContexts: {
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'conn-1:demo': [{
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dbName: 'demo',
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tableName: 'orders',
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ddl: 'CREATE TABLE orders (...)',
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}],
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},
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toolContextMap: new Map(),
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runtime: {
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getDatabases: vi.fn(),
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getTables: vi.fn(),
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getAIRuntimeState: vi.fn().mockResolvedValue({
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activeProviderId: 'provider-1',
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providers: [{
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id: 'provider-1',
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type: 'openai',
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name: 'OpenAI 主账号',
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apiKey: '',
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hasSecret: true,
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baseUrl: 'https://api.openai.com/v1',
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model: '',
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models: ['gpt-5.5', 'gpt-4.1-mini'],
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maxTokens: 32000,
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temperature: 0.2,
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}],
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}),
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},
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});
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expect(result.success).toBe(true);
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expect(result.content).toContain('"status":"missing_model"');
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expect(result.content).toContain('"contextAttachedCount":1');
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expect(result.content).toContain('"selectableModelCount":2');
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expect(result.content).toContain('OpenAI 主账号');
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});
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it('returns the ai tool catalog so the model can choose probes and build arguments', async () => {
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const result = await executeLocalAIToolCall({
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toolCall: buildToolCall('inspect_ai_tool_catalog', {
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keyword: 'mcp',
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limit: 8,
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}),
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connections: [buildConnection()],
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mcpTools: [{
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alias: 'github_create_issue',
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originalName: 'create_issue',
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serverId: 'github-server',
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serverName: 'GitHub',
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title: '创建 Issue',
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description: 'Create a GitHub issue',
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inputSchema: {
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type: 'object',
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required: ['owner', 'repo', 'title'],
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properties: {
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owner: { type: 'string', description: '仓库 owner' },
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repo: { type: 'string', description: '仓库名' },
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title: { type: 'string', description: 'Issue 标题' },
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},
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},
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}],
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toolContextMap: new Map(),
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runtime: {
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getDatabases: vi.fn(),
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getTables: vi.fn(),
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},
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});
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expect(result.success).toBe(true);
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expect(result.content).toContain('"keyword":"mcp"');
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expect(result.content).toContain('新增 MCP 填写指引');
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expect(result.content).toContain('"name":"inspect_mcp_draft"');
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expect(result.content).toContain('"name":"fullCommand"');
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expect(result.content).toContain('"alias":"github_create_issue"');
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expect(result.content).toContain('"requiredParameters":["owner","repo","title"]');
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expect(result.content).toContain('调用带参数工具前');
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});
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it('returns the current mcp setup snapshot so the model can inspect configured servers and client install state', async () => {
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const result = await executeLocalAIToolCall({
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toolCall: buildToolCall('inspect_mcp_setup', {}),
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connections: [buildConnection()],
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mcpTools: [{
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alias: 'browser_open',
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originalName: 'browser_open',
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serverId: 'server-1',
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serverName: 'Browser',
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title: '打开页面',
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description: '打开页面',
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}],
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toolContextMap: new Map(),
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runtime: {
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getDatabases: vi.fn(),
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getTables: vi.fn(),
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getMCPServers: vi.fn().mockResolvedValue([
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{
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id: 'server-1',
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name: 'Browser',
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transport: 'stdio',
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command: 'uvx',
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args: ['mcp-server-browser'],
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env: {
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OPENAI_API_KEY: '***',
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},
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enabled: true,
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timeoutSeconds: 20,
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},
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{
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id: 'server-2',
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name: 'Broken',
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transport: 'stdio',
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command: '',
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args: [],
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env: {},
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enabled: true,
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timeoutSeconds: 1,
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},
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]),
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getMCPClientInstallStatuses: vi.fn().mockResolvedValue([
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{
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client: 'codex',
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displayName: 'Codex',
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installed: true,
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matchesCurrent: false,
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clientDetected: true,
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clientCommand: 'codex',
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clientPath: 'C:/Tools/codex.exe',
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configPath: 'C:/Users/demo/.codex/config.toml',
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command: 'gonavi-mcp-server',
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args: ['stdio'],
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message: '检测到旧的 GoNavi 路径',
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},
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]),
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},
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});
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expect(result.success).toBe(true);
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expect(result.content).toContain('"serverCount":2');
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expect(result.content).toContain('"name":"Browser"');
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expect(result.content).toContain('"launchCommandPreview":"uvx mcp-server-browser"');
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expect(result.content).toContain('"serverConfigurationIssueCount":2');
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expect(result.content).toContain('"serversWithConfigurationErrors":1');
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expect(result.content).toContain('"key":"command-missing"');
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expect(result.content).toContain('"displayName":"Codex"');
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expect(result.content).toContain('"launchCommandPreview":"gonavi-mcp-server stdio"');
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});
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it('returns the builtin mcp authoring guide so the model can explain how to fill command, args, env, and templates', async () => {
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const result = await executeLocalAIToolCall({
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toolCall: buildToolCall('inspect_mcp_authoring_guide', {}),
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connections: [buildConnection()],
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mcpTools: [],
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toolContextMap: new Map(),
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runtime: {
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getDatabases: vi.fn(),
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getTables: vi.fn(),
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},
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});
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expect(result.success).toBe(true);
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expect(result.content).toContain('"supportsWholeCommandAutoSplit":true');
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expect(result.content).toContain('"fullCommandPasteExample":"$env:GITHUB_TOKEN=...; uvx mcp-server-github --stdio"');
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expect(result.content).toContain('"title":"启动命令"');
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expect(result.content).toContain('"example":"npx / node / uvx / python / docker"');
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expect(result.content).toContain('PowerShell $env:KEY=VALUE;');
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expect(result.content).toContain('"title":"npx 包"');
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expect(result.content).toContain('"exampleLaunchPreview":"npx -y @modelcontextprotocol/server-filesystem --stdio"');
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expect(result.content).toContain('"title":"uvx 工具"');
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expect(result.content).toContain('"exampleLaunchPreview":"uvx some-mcp-server"');
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});
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it('validates an mcp draft with the real command splitter and server validator', async () => {
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const result = await executeLocalAIToolCall({
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toolCall: buildToolCall('inspect_mcp_draft', {
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fullCommand: '$env:GITHUB_TOKEN="ghp test"; uvx mcp-server-github --stdio',
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timeoutSeconds: 45,
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}),
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connections: [buildConnection()],
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mcpTools: [],
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toolContextMap: new Map(),
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runtime: {
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getDatabases: vi.fn(),
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getTables: vi.fn(),
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},
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});
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expect(result.success).toBe(true);
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expect(result.content).toContain('"command":"uvx"');
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expect(result.content).toContain('"args":["mcp-server-github","--stdio"]');
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expect(result.content).toContain('"envKeys":["GITHUB_TOKEN"]');
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expect(result.content).toContain('"launchCommandPreview":"uvx mcp-server-github --stdio"');
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expect(result.content).toContain('"suggestedServerSeed"');
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expect(result.content).toContain('"name":"mcp-server-github"');
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expect(result.content).toContain('"env":{"GITHUB_TOKEN":"***"}');
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expect(result.content).toContain('"fullCommand":"GITHUB_TOKEN=*** uvx mcp-server-github --stdio"');
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expect(result.content).not.toContain('ghp test');
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expect(result.content).toContain('"recommendedTemplate":{"key":"uvx"');
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expect(result.content).toContain('"canSave":true');
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});
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it('returns mcp tool input schemas so the model can build arguments from discovered tool metadata', async () => {
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const result = await executeLocalAIToolCall({
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toolCall: buildToolCall('inspect_mcp_tool_schema', {
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alias: 'github_create_issue',
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}),
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connections: [buildConnection()],
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mcpTools: [{
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alias: 'github_create_issue',
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originalName: 'create_issue',
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serverId: 'github-server',
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serverName: 'GitHub',
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title: '创建 Issue',
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description: 'Create a GitHub issue',
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inputSchema: {
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type: 'object',
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required: ['owner', 'repo', 'title'],
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properties: {
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owner: { type: 'string', description: '仓库 owner' },
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repo: { type: 'string', description: '仓库名' },
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title: { type: 'string', description: 'Issue 标题' },
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state: { type: 'string', enum: ['open', 'closed'] },
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},
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},
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}],
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toolContextMap: new Map(),
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runtime: {
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getDatabases: vi.fn(),
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getTables: vi.fn(),
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},
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});
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expect(result.success).toBe(true);
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expect(result.content).toContain('"alias":"github_create_issue"');
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expect(result.content).toContain('"requiredParameters":["owner","repo","title"]');
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expect(result.content).toContain('"path":"state"');
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expect(result.content).toContain('"enumValues":["open","closed"]');
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expect(result.content).toContain('调用 github_create_issue 前必须提供：owner, repo, title');
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});
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it('returns the current ai guidance snapshot so the model can inspect active prompts and enabled skills', async () => {
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const result = await executeLocalAIToolCall({
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toolCall: buildToolCall('inspect_ai_guidance', {}),
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connections: [buildConnection()],
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mcpTools: [],
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toolContextMap: new Map(),
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userPromptSettings: {
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global: '回答前先核对上下文。',
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database: '生成 SQL 时只读优先。',
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jvm: '',
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jvmDiagnostic: '',
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},
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skills: [{
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id: 'skill-1',
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name: '结构审查',
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description: '优先核对字段',
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systemPrompt: '先看字段和索引，再给结论。',
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enabled: true,
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scopes: ['database'],
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requiredTools: ['get_columns'],
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}],
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runtime: {
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getDatabases: vi.fn(),
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getTables: vi.fn(),
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},
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});
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expect(result.success).toBe(true);
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expect(result.content).toContain('"customPromptCount":2');
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expect(result.content).toContain('"scope":"global"');
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expect(result.content).toContain('回答前先核对上下文');
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expect(result.content).toContain('"enabledSkillCount":1');
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expect(result.content).toContain('"name":"结构审查"');
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});
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});
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