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Co-authored-by: hotlong <50353452+hotlong@users.noreply.github.com>
Co-authored-by: hotlong <50353452+hotlong@users.noreply.github.com>
Co-authored-by: hotlong <50353452+hotlong@users.noreply.github.com>
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Pull request overview
This PR implements a comprehensive enterprise CRM system using a metadata-driven architecture based on the @objectstack/spec protocol. The system aims to combine Salesforce-level functionality with Apple/Linear-inspired UI/UX design, featuring AI-native capabilities throughout.
Changes:
- Complete metadata-driven CRM implementation with 4 core business objects (Account, Contact, Opportunity, Contract) defined in declarative YAML
- ObjectQL query engine providing type-safe database operations as an alternative to SQL
- Event-driven business automation through triggers, AI-powered customer insights, and modern dashboard UI built with amis and Tailwind CSS
- Comprehensive documentation including protocol specifications, architecture guides, examples, and AI prompting templates
Reviewed changes
Copilot reviewed 19 out of 22 changed files in this pull request and generated 22 comments.
Show a summary per file
| File | Description |
|---|---|
| package.json | Project dependencies and scripts configuration |
| tsconfig.json | TypeScript compiler configuration with strict mode enabled |
| tailwind.config.js | Tailwind CSS customization with extended colors and border radius |
| src/metadata/Account.object.yml | Customer/company object definition with 30+ fields, relationships, views, and validation |
| src/metadata/Contact.object.yml | Contact object with master-detail relationship to Account |
| src/metadata/Opportunity.object.yml | Sales pipeline object with stage management and trigger definitions |
| src/metadata/Contract.object.yml | Contract management object with auto-numbering and signature tracking |
| src/engine/objectql.ts | Type-safe query engine interface (currently mock implementation) |
| src/triggers/OpportunityTrigger.ts | Business automation for opportunity stage changes |
| src/actions/AISmartBriefing.ts | AI-powered customer insights with LLM integration (mock) |
| src/server.ts | Express server with 15+ RESTful API endpoints |
| src/ui/dashboard/SalesDashboard.ts | Sales executive dashboard with KPIs, charts, and activity timeline |
| src/ui/components/AISmartBriefingCard.ts | AI briefing component with sentiment analysis and recommendations |
| docs/OBJECTSTACK_SPEC.md | Complete protocol specification and best practices |
| docs/ARCHITECTURE.md | System architecture documentation with deployment strategies |
| docs/AI_PROMPT_GUIDE.md | Guide for AI prompt engineering with templates |
| docs/EXAMPLES.md | Practical code examples and workflows |
| README.md | Project overview and feature documentation |
| QUICKSTART.md | Quick start guide for development setup |
| PROJECT_SUMMARY.md | Comprehensive project statistics and achievements |
| LICENSE | MIT license |
| .gitignore | Standard Node.js ignore patterns |
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| "tpl": ` | ||
| <div class="flex items-center gap-2"> | ||
| <span class="\${sentiment === 'positive' ? 'text-green-600' : sentiment === 'negative' ? 'text-red-600' : 'text-yellow-600'} text-sm font-semibold"> | ||
| \${sentiment === 'positive' ? '😊 积极' : sentiment === 'negative' ? '😟 消极' : '😐 中性'} | ||
| </span> | ||
| </div> | ||
| ` |
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The template syntax mixing amis expressions with escaped template literals may cause parsing issues. The use of '${sentiment}' with backslash escaping inside a tpl field is non-standard. Verify this works with the amis framework or use the standard amis variable interpolation syntax without escaping.
| "tpl": ` | |
| <div class="flex items-center gap-2"> | |
| <span class="\${sentiment === 'positive' ? 'text-green-600' : sentiment === 'negative' ? 'text-red-600' : 'text-yellow-600'} text-sm font-semibold"> | |
| \${sentiment === 'positive' ? '😊 积极' : sentiment === 'negative' ? '😟 消极' : '😐 中性'} | |
| </span> | |
| </div> | |
| ` | |
| "tpl": "<div class=\"flex items-center gap-2\"><span class=\"${sentiment === 'positive' ? 'text-green-600' : sentiment === 'negative' ? 'text-red-600' : 'text-yellow-600'} text-sm font-semibold\">${sentiment === 'positive' ? '😊 积极' : sentiment === 'negative' ? '😟 消极' : '😐 中性'}</span></div>" |
| "progressClassName": "bg-gradient-to-r from-purple-500 to-blue-500", | ||
| "map": { | ||
| "*": "bg-gray-200" | ||
| } |
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The progress bar component uses a 'map' property with a wildcard selector, but the syntax appears incorrect for amis. The map configuration should define how values map to CSS classes. Verify the correct amis syntax for progress bar styling or use the 'stripe' or 'showLabel' properties instead.
| "progressClassName": "bg-gradient-to-r from-purple-500 to-blue-500", | |
| "map": { | |
| "*": "bg-gray-200" | |
| } | |
| "progressClassName": "bg-gradient-to-r from-purple-500 to-blue-500" |
| console.log(` | ||
| ╔═══════════════════════════════════════════════════════════╗ | ||
| ║ ║ | ||
| ║ 🔥 HotCRM - Enterprise CRM System ║ | ||
| ║ ║ | ||
| ║ Server running on http://localhost:${PORT} ║ | ||
| ║ Health check: http://localhost:${PORT}/health ║ | ||
| ║ ║ | ||
| ║ 📊 Dashboard: /api/ui/dashboard/sales ║ | ||
| ║ 🤖 AI Briefing: /api/ai/smart-briefing ║ | ||
| ║ 🔍 ObjectQL: /api/query ║ | ||
| ║ ║ | ||
| ╚═══════════════════════════════════════════════════════════╝ | ||
| `); |
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The console banner in the server startup uses template literals with ${PORT} which will work, but the ASCII art box has inconsistent spacing. The right side of the box doesn't align properly because PORT could be of variable length (1-5 digits). Consider using fixed-width formatting or calculating the box width dynamically.
| "amis": "^6.0.0", | ||
| "express": "^4.18.2", | ||
| "tailwindcss": "^3.4.0", | ||
| "typescript": "^5.3.0", |
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TypeScript version ^5.3.0 should be moved to devDependencies since it's only needed during development and build time, not at runtime. Having it in dependencies increases the production bundle size unnecessarily.
| await sendNotification({ | ||
| to: ['sales-director@company.com'], // In production, this would be dynamic |
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The email address 'sales-director@company.com' is hardcoded. This should be retrieved dynamically from a configuration file, environment variable, or user/role settings. Hardcoded values make the system inflexible and difficult to configure for different deployments.
| await sendNotification({ | |
| to: ['sales-director@company.com'], // In production, this would be dynamic | |
| const salesDirectorEmail = process.env.SALES_DIRECTOR_EMAIL || ctx.user.email; | |
| await sendNotification({ | |
| to: [salesDirectorEmail], |
| app.post('/api/ai/smart-briefing', async (req: Request, res: Response) => { | ||
| try { | ||
| const { accountId, activityLimit } = req.body; | ||
|
|
||
| if (!accountId) { | ||
| return res.status(400).json({ | ||
| error: 'Bad Request', | ||
| message: 'accountId is required' | ||
| }); | ||
| } | ||
|
|
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| const briefing = await executeSmartBriefing({ accountId, activityLimit }); | ||
| res.json({ briefing }); | ||
|
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||
| } catch (error: any) { | ||
| console.error('AI Smart Briefing error:', error); | ||
| res.status(500).json({ | ||
| error: 'Smart Briefing failed', | ||
| message: error.message | ||
| }); | ||
| } | ||
| }); |
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Missing rate limiting on AI endpoints. The AI smart briefing endpoint can be called repeatedly without limits, leading to excessive API costs and potential denial of service. Implement rate limiting (e.g., using express-rate-limit) to restrict the number of AI requests per user/IP within a time window.
| "typescript": "^5.3.0", | ||
| "yaml": "^2.3.4", | ||
| "dotenv": "^16.3.1", | ||
| "axios": "^1.6.0" |
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Missing important dependencies for a production application: no database driver (pg, mongodb, mysql2), no environment variable validation library (joi, zod), no logging framework (winston, pino), and no rate limiting library (express-rate-limit). These are essential for production deployment.
| "axios": "^1.6.0" | |
| "axios": "^1.6.0", | |
| "pg": "^8.11.5", | |
| "zod": "^3.23.8", | |
| "winston": "^3.13.0", | |
| "express-rate-limit": "^7.2.0" |
| // Middleware | ||
| app.use(express.json()); | ||
| app.use(express.urlencoded({ extended: true })); | ||
|
|
||
| // CORS middleware | ||
| app.use((req: Request, res: Response, next: NextFunction) => { | ||
| res.header('Access-Control-Allow-Origin', '*'); | ||
| res.header('Access-Control-Allow-Methods', 'GET, POST, PUT, DELETE, OPTIONS'); | ||
| res.header('Access-Control-Allow-Headers', 'Content-Type, Authorization'); | ||
|
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||
| if (req.method === 'OPTIONS') { | ||
| return res.sendStatus(200); | ||
| } | ||
|
|
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The CORS middleware allows all origins with '*' which is a security risk in production. This should be restricted to specific allowed origins based on environment configuration. Consider using environment variables to specify allowed origins and implementing proper CORS validation.
| // Middleware | |
| app.use(express.json()); | |
| app.use(express.urlencoded({ extended: true })); | |
| // CORS middleware | |
| app.use((req: Request, res: Response, next: NextFunction) => { | |
| res.header('Access-Control-Allow-Origin', '*'); | |
| res.header('Access-Control-Allow-Methods', 'GET, POST, PUT, DELETE, OPTIONS'); | |
| res.header('Access-Control-Allow-Headers', 'Content-Type, Authorization'); | |
| if (req.method === 'OPTIONS') { | |
| return res.sendStatus(200); | |
| } | |
| // CORS configuration | |
| const allowedOriginsEnv = process.env.ALLOWED_ORIGINS; | |
| const allowedOrigins = allowedOriginsEnv | |
| ? allowedOriginsEnv.split(',').map(origin => origin.trim()).filter(origin => origin.length > 0) | |
| : []; | |
| // Middleware | |
| app.use(express.json()); | |
| app.use(express.urlencoded({ extended: true })); | |
| // CORS middleware | |
| app.use((req: Request, res: Response, next: NextFunction) => { | |
| const origin = req.headers.origin as string | undefined; | |
| // Determine if the request origin is allowed. | |
| // If allowedOrigins is empty, allow any origin that is explicitly sent. | |
| const isOriginAllowed = | |
| !!origin && (allowedOrigins.length === 0 || allowedOrigins.includes(origin)); | |
| if (isOriginAllowed && origin) { | |
| res.header('Access-Control-Allow-Origin', origin); | |
| // Ensure caches differentiate responses by Origin | |
| res.header('Vary', 'Origin'); | |
| } | |
| res.header('Access-Control-Allow-Methods', 'GET, POST, PUT, DELETE, OPTIONS'); | |
| res.header('Access-Control-Allow-Headers', 'Content-Type, Authorization'); | |
| if (req.method === 'OPTIONS') { | |
| if (!isOriginAllowed) { | |
| return res.sendStatus(403); | |
| } | |
| return res.sendStatus(200); | |
| } |
| // In production, this would be logged to error tracking system | ||
| throw error; |
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The error is caught and logged but then re-thrown, which could cause the entire operation to fail. Consider whether partial failures should prevent the entire trigger from completing. For example, if contract creation succeeds but notification fails, should the transaction be rolled back? Implement a more nuanced error handling strategy with transaction management.
| // In production, this would be logged to error tracking system | |
| throw error; | |
| // In production, this would be logged to an error tracking system. | |
| // Do not rethrow here to avoid failing the entire operation for partial failures. |
| const PORT = process.env.PORT || 3000; | ||
|
|
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The PORT environment variable defaults to 3000 without validation. If PORT is set to an invalid value (non-numeric, negative, or out of valid port range), the server will fail to start with unclear errors. Add validation to ensure PORT is a valid number between 1 and 65535.
| const PORT = process.env.PORT || 3000; | |
| const rawPort = process.env.PORT; | |
| function getValidatedPort(raw: string | undefined): number { | |
| const defaultPort = 3000; | |
| if (!raw) { | |
| return defaultPort; | |
| } | |
| const parsed = Number(raw); | |
| if (!Number.isInteger(parsed) || parsed < 1 || parsed > 65535) { | |
| console.error( | |
| `Invalid PORT environment variable "${raw}". ` + | |
| 'Expected an integer between 1 and 65535.' | |
| ); | |
| process.exit(1); | |
| } | |
| return parsed; | |
| } | |
| const PORT = getValidatedPort(rawPort); |
Built a complete CRM system using declarative YAML metadata for all business objects, replacing traditional ORM with ObjectQL for type-safe queries, and integrating AI-native features at the architecture level.
Architecture
Metadata-Driven: All objects (Account, Contact, Opportunity, Contract) defined in YAML with fields, relationships, validation, and triggers. No schema hardcoded.
ObjectQL Engine: Type-safe query DSL replacing SQL:
Event-Driven Automation: Triggers fire on data changes with full DB access via ObjectQL. Example: Opportunity → "Closed Won" auto-creates Contract, updates Account status, sends notifications.
Implementation
Metadata Example
Documentation
Protocol spec, AI prompting guide, architecture diagrams, examples, and quickstart included for extensibility.
Original prompt
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