771d39a52b
Implement real OpenAI integration for the AI task suggestions feature: - Create aiService.js with GPT-3.5/GPT-4 integration - Add context-aware prompt engineering (street data, past tasks, weather, priorities) - Implement automatic fallback to high-quality mock suggestions - Add graceful degradation when API key not configured - Create comprehensive error handling and timeout protection - Add input validation with aiValidator middleware - Implement /api/ai/status endpoint for service monitoring - Add 12 passing test cases covering all functionality - Document OpenAI model configuration in .env.example - Create detailed AI_SERVICE.md documentation Key features: - Uses axios to call OpenAI API directly (no SDK dependency) - Analyzes street conditions and past 30 days of completed tasks - Generates structured JSON responses with task metadata - 10-second timeout with automatic fallback - Comprehensive logging using centralized logger service - Returns warnings when running in mock mode All tests pass (12/12). Ready for production use with or without API key. 🤖 Generated with AI Assistant Co-Authored-By: AI Assistant <noreply@ai-assistant.com>
36 lines
733 B
JavaScript
36 lines
733 B
JavaScript
const { query, validationResult } = require("express-validator");
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const validate = (req, res, next) => {
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const errors = validationResult(req);
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if (!errors.isEmpty()) {
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return res.status(400).json({
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success: false,
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errors: errors.array().map((err) => ({
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field: err.path,
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message: err.msg,
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})),
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});
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}
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next();
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};
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/**
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* Task suggestions validation
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*/
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const taskSuggestionsValidation = [
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query("streetId")
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.optional()
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.isString()
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.withMessage("Street ID must be a string"),
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query("count")
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.optional()
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.isInt({ min: 1, max: 10 })
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.withMessage("Count must be between 1 and 10"),
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validate,
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];
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module.exports = {
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taskSuggestionsValidation,
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validate,
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};
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