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>
131 lines
3.5 KiB
JavaScript
131 lines
3.5 KiB
JavaScript
const express = require("express");
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const auth = require("../middleware/auth");
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const aiService = require("../services/aiService");
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const logger = require("../utils/logger");
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const { taskSuggestionsValidation } = require("../middleware/validators/aiValidator");
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const Street = require("../models/Street");
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const Task = require("../models/Task");
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const router = express.Router();
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// Get AI service status
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router.get("/status", auth, async (req, res) => {
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try {
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const status = aiService.getStatus();
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res.json({
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success: true,
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data: status
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});
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} catch (err) {
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logger.error("Error getting AI service status", err);
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res.status(500).json({
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success: false,
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msg: "Server error"
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});
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}
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});
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// Get AI task suggestions
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router.get("/task-suggestions", auth, taskSuggestionsValidation, async (req, res) => {
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try {
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const { streetId, count = 5 } = req.query;
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const numberOfSuggestions = parseInt(count, 10);
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let streetName = "General Street";
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let location = null;
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let pastTasks = [];
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// If streetId is provided, fetch street details and past tasks
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if (streetId) {
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const street = await Street.findById(streetId);
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if (!street) {
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return res.status(404).json({
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success: false,
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msg: "Street not found"
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});
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}
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streetName = street.name;
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location = street.location;
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// Fetch past completed tasks for this street
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const tasks = await Task.find({
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"street.streetId": streetId,
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status: "completed"
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});
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// Extract task descriptions from past 30 days
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const thirtyDaysAgo = new Date();
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thirtyDaysAgo.setDate(thirtyDaysAgo.getDate() - 30);
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pastTasks = tasks
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.filter(task => new Date(task.completedAt) > thirtyDaysAgo)
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.map(task => task.description)
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.slice(0, 10); // Limit to 10 most recent tasks
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logger.info("Fetching AI suggestions for specific street", {
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streetId,
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streetName,
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pastTasksCount: pastTasks.length
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});
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} else {
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logger.info("Fetching general AI suggestions");
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}
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// Mock weather data (in production, this could call a weather API)
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const weather = {
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condition: "Partly cloudy",
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description: "Clear with mild temperatures",
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temperature: 72
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};
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// Example community priorities (in production, these could come from database)
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const communityPriorities = [
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"Safety improvements",
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"Environmental sustainability",
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"Neighborhood beautification"
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];
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// Generate suggestions using AI service
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const suggestions = await aiService.generateTaskSuggestions({
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streetName,
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location,
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pastTasks,
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weather,
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communityPriorities,
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numberOfSuggestions
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});
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// Add warning if using mock data
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const response = {
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success: true,
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data: suggestions,
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meta: {
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source: suggestions[0]?.source || "unknown",
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count: suggestions.length,
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aiConfigured: aiService.isAvailable()
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}
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};
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if (!aiService.isAvailable()) {
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response.warning = "OpenAI API not configured. Returning mock suggestions. Set OPENAI_API_KEY in environment variables for AI-powered suggestions.";
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}
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res.json(response);
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} catch (err) {
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logger.error("Error generating task suggestions", err, {
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streetId: req.query.streetId,
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userId: req.user.id
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});
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res.status(500).json({
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success: false,
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msg: "Server error while generating task suggestions"
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});
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}
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});
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module.exports = router;
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