feat(KB-032): add Planning Mode for AI-assisted task creation
- Add PlanningModeModal component with interactive task planning UI - Implement backend planning API with /api/planning endpoints - Add PlanningSession class for managing planning state - Integrate planning mode into dashboard with header button - Add comprehensive tests for planning components and API routes - Include AI agent structure for future planning automation - Update README with Planning Mode documentation
This commit is contained in:
544
packages/dashboard/src/planning.ts
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544
packages/dashboard/src/planning.ts
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/**
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* Planning Mode Session Management
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*
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* Manages AI-guided planning sessions for interactive task creation.
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* Sessions are stored in-memory with TTL cleanup.
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*
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* NOTE: AI Agent integration is stubbed for now. When integrating with
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* the real AI agent, update createSession and submitResponse to use
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* createKbAgent from "@kb/engine".
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*/
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import type {
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PlanningQuestion,
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PlanningSummary,
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PlanningResponse,
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TaskStore,
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} from "@kb/core";
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import { createKbAgent } from "@kb/engine";
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import { randomUUID } from "node:crypto";
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// ── Constants ───────────────────────────────────────────────────────────────
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/** Planning system prompt for the AI agent */
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export const PLANNING_SYSTEM_PROMPT = `You are a planning assistant for the kb task board system.
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Your job: help users transform vague, high-level ideas into well-defined, actionable tasks.
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## Conversation Flow
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1. User provides a high-level plan (e.g., "Build a user auth system")
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2. You ask clarifying questions to understand scope, requirements, and constraints
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3. You present UI-friendly selection options when appropriate
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4. Once you have enough information, generate a structured summary
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## Question Types to Use
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- "text": Open-ended follow-up questions for detailed input
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- "single_select": When user must choose one option (e.g., tech stack preference)
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- "multi_select": When multiple options can apply (e.g., features to include)
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- "confirm": Yes/No questions for quick decisions
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## Guidelines
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- Ask 3-7 questions depending on complexity
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- Start broad, then narrow down specifics
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- Suggest sensible defaults based on project context
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- Keep questions focused and actionable
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- When asking about file scope, reference actual project structure
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## Summary Generation
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When ready to complete, generate:
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- A concise but descriptive title (max 80 chars)
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- A detailed description with context gathered
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- Size estimate (S/M/L) based on scope
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- Any suggested dependencies on existing tasks
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- Key deliverables as a checklist`;
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/** Session TTL in milliseconds (30 minutes) */
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const SESSION_TTL_MS = 30 * 60 * 1000;
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/** Cleanup interval in milliseconds (5 minutes) */
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const CLEANUP_INTERVAL_MS = 5 * 60 * 1000;
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/** Max planning sessions per IP per hour */
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const MAX_SESSIONS_PER_IP_PER_HOUR = 5;
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/** Rate limiting window in milliseconds (1 hour) */
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const RATE_LIMIT_WINDOW_MS = 60 * 60 * 1000;
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// ── Types ───────────────────────────────────────────────────────────────────
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interface Session {
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id: string;
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ip: string;
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initialPlan: string;
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history: Array<{ question: PlanningQuestion; response: unknown }>;
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currentQuestion?: PlanningQuestion;
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summary?: PlanningSummary;
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createdAt: Date;
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updatedAt: Date;
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}
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interface RateLimitEntry {
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count: number;
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firstRequestAt: Date;
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}
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// ── In-Memory Storage ───────────────────────────────────────────────────────
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/** Active planning sessions indexed by session ID */
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const sessions = new Map<string, Session>();
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/** Rate limiting state indexed by IP */
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const rateLimits = new Map<string, RateLimitEntry>();
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// ── Cleanup Interval ────────────────────────────────────────────────────────
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/**
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* Remove expired sessions and stale rate limit entries.
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* Runs periodically via setInterval.
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*/
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function cleanupExpiredSessions(): void {
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const now = Date.now();
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let cleanedSessions = 0;
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let cleanedRateLimits = 0;
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// Clean up expired sessions
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for (const [id, session] of sessions) {
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if (now - session.updatedAt.getTime() > SESSION_TTL_MS) {
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sessions.delete(id);
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cleanedSessions++;
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}
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}
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// Clean up stale rate limit entries
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for (const [ip, entry] of rateLimits) {
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if (now - entry.firstRequestAt.getTime() > RATE_LIMIT_WINDOW_MS) {
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rateLimits.delete(ip);
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cleanedRateLimits++;
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}
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}
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if (cleanedSessions > 0 || cleanedRateLimits > 0) {
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console.log(
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`[planning] Cleanup: removed ${cleanedSessions} sessions, ${cleanedRateLimits} rate limit entries`
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);
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}
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}
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// Start cleanup interval
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const cleanupInterval = setInterval(cleanupExpiredSessions, CLEANUP_INTERVAL_MS);
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// Handle graceful shutdown
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process.on("beforeExit", () => {
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clearInterval(cleanupInterval);
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});
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// ── Rate Limiting ───────────────────────────────────────────────────────────
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/**
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* Check if IP can create a new planning session.
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* Returns true if allowed, false if rate limited.
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*/
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export function checkRateLimit(ip: string): boolean {
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const now = Date.now();
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const entry = rateLimits.get(ip);
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if (!entry) {
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// First request from this IP
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rateLimits.set(ip, {
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count: 1,
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firstRequestAt: new Date(),
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});
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return true;
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}
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// Check if window has expired
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if (now - entry.firstRequestAt.getTime() > RATE_LIMIT_WINDOW_MS) {
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// Reset window
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rateLimits.set(ip, {
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count: 1,
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firstRequestAt: new Date(),
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});
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return true;
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}
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// Within window - check limit
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if (entry.count >= MAX_SESSIONS_PER_IP_PER_HOUR) {
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return false;
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}
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// Increment count
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entry.count++;
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return true;
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}
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/**
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* Get rate limit reset time for an IP.
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* Returns null if no rate limit entry exists.
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*/
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export function getRateLimitResetTime(ip: string): Date | null {
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const entry = rateLimits.get(ip);
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if (!entry) return null;
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return new Date(entry.firstRequestAt.getTime() + RATE_LIMIT_WINDOW_MS);
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}
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// ── Planning Session Class ──────────────────────────────────────────────────
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/**
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* PlanningSession class for managing AI-guided planning conversations.
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*
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* This class encapsulates the planning session state and provides methods
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* for interacting with the AI agent to generate questions and summaries.
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*/
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export class PlanningSession {
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id: string;
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ip: string;
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initialPlan: string;
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history: Array<{ question: PlanningQuestion; response: unknown }>;
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currentQuestion?: PlanningQuestion;
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summary?: PlanningSummary;
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// eslint-disable-next-line @typescript-eslint/no-explicit-any
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agent?: any;
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createdAt: Date;
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updatedAt: Date;
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constructor(initialPlan: string, ip: string) {
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this.id = randomUUID();
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this.ip = ip;
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this.initialPlan = initialPlan;
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this.history = [];
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this.createdAt = new Date();
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this.updatedAt = new Date();
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}
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/**
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* Get the next question from the AI agent based on the initial plan.
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* Stubbed - will be replaced with AI agent integration.
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*/
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async getNextQuestion(): Promise<PlanningQuestion | PlanningSummary> {
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if (this.history.length === 0) {
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return generateFirstQuestion(this.initialPlan);
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}
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return this.generateNextQuestionOrSummary();
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}
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/**
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* Submit a response and get the next question or summary.
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* Stubbed - will be replaced with AI agent integration.
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*/
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async submitResponse(response: unknown): Promise<PlanningQuestion | PlanningSummary> {
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if (!this.currentQuestion) {
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throw new InvalidSessionStateError("No active question in session");
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}
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this.history.push({
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question: this.currentQuestion,
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response,
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});
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this.updatedAt = new Date();
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return this.generateNextQuestionOrSummary();
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}
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/**
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* Dispose of the session and cleanup resources.
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*/
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dispose(): void {
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// Cleanup any resources if needed
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}
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/**
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* Generate next question or summary based on session history.
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* Stubbed - will be replaced with AI agent integration.
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*/
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private generateNextQuestionOrSummary(): PlanningQuestion | PlanningSummary {
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const historyLength = this.history.length;
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if (historyLength < 2) {
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return {
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id: `q-${historyLength + 1}`,
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type: "text",
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question: "What are the key requirements or acceptance criteria?",
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description: "List the specific things that need to be true for this task to be considered complete.",
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};
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}
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if (historyLength < 3) {
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return {
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id: "q-confirm",
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type: "confirm",
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question: "Are there any specific technologies or libraries that should be used?",
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description: "Answer yes if you have preferences for specific tech stack choices.",
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};
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}
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return this.generateSummary();
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}
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/**
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* Generate a summary from session history.
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* Stubbed - will be replaced with AI agent integration.
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*/
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private generateSummary(): PlanningSummary {
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const scopeResponse = this.history.find((h) => h.question.id === "q-scope")?.response as
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| { scope?: string }
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| undefined;
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const requirementsResponse = this.history.find((h) => h.question.type === "text")?.response as
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| { requirements?: string }
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| undefined;
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const suggestedSize =
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scopeResponse?.scope === "small" ? "S" : scopeResponse?.scope === "large" ? "L" : "M";
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return {
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title: this.initialPlan.slice(0, 80),
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description:
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`${this.initialPlan}\n\n` +
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`Requirements: ${requirementsResponse?.requirements || "Standard implementation"}\n\n` +
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`Generated via Planning Mode`,
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suggestedSize,
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suggestedDependencies: [],
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keyDeliverables: ["Implementation", "Tests", "Documentation"],
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};
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}
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}
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// ── Stubbed AI Integration (to be replaced with real AI agent) ──────────────
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/**
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* Generate the first question based on the initial plan.
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* This is a stub - will be replaced with AI agent.
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*/
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function generateFirstQuestion(initialPlan: string): PlanningQuestion {
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// Simple stub: ask about scope
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return {
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id: "q-scope",
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type: "single_select",
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question: "What is the scope of this plan?",
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description: "This helps estimate the size and complexity of the task.",
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options: [
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{ id: "small", label: "Small - focused change affecting 1-3 files", description: "Quick implementation" },
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{ id: "medium", label: "Medium - moderate change affecting 3-10 files", description: "Standard feature" },
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{ id: "large", label: "Large - significant change affecting 10+ files", description: "Complex feature or refactor" },
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],
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};
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}
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/**
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* Generate next question or summary based on session history.
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* This is a stub - will be replaced with AI agent.
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*/
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function generateNextQuestionOrSummary(session: Session): PlanningResponse {
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const historyLength = session.history.length;
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// Simple stub: ask 2-3 questions then generate summary
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if (historyLength < 2) {
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return {
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type: "question",
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data: {
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id: `q-${historyLength + 1}`,
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type: "text",
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question: "What are the key requirements or acceptance criteria?",
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description: "List the specific things that need to be true for this task to be considered complete.",
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},
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};
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}
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if (historyLength < 3) {
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return {
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type: "question",
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data: {
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id: "q-confirm",
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type: "confirm",
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question: "Are there any specific technologies or libraries that should be used?",
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description: "Answer yes if you have preferences for specific tech stack choices.",
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},
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};
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}
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// Generate summary after 3 questions
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return {
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type: "complete",
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data: generateSummary(session),
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};
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}
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/**
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* Generate a summary from session history.
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* This is a stub - will be replaced with AI agent.
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*/
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function generateSummary(session: Session): PlanningSummary {
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// Simple stub: create summary from initial plan and history
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const scopeResponse = session.history.find((h) => h.question.id === "q-scope")?.response as
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| { scope?: string }
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| undefined;
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const requirementsResponse = session.history.find((h) => h.question.type === "text")?.response as
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| { requirements?: string }
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| undefined;
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const suggestedSize =
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scopeResponse?.scope === "small" ? "S" : scopeResponse?.scope === "large" ? "L" : "M";
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return {
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title: session.initialPlan.slice(0, 80),
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description:
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`${session.initialPlan}\n\n` +
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`Requirements: ${requirementsResponse?.requirements || "Standard implementation"}\n\n` +
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`Generated via Planning Mode`,
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suggestedSize,
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suggestedDependencies: [],
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keyDeliverables: ["Implementation", "Tests", "Documentation"],
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};
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}
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// ── Session Management ───────────────────────────────────────────────────────
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/**
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* Create a new planning session.
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* Returns session ID and first question (stubbed for now - AI integration in future).
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*/
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export async function createSession(
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ip: string,
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initialPlan: string,
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_store?: TaskStore,
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_rootDir?: string
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): Promise<{ sessionId: string; firstQuestion: PlanningQuestion }> {
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// Check rate limit
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if (!checkRateLimit(ip)) {
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const resetTime = getRateLimitResetTime(ip);
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throw new RateLimitError(
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`Rate limit exceeded. Maximum ${MAX_SESSIONS_PER_IP_PER_HOUR} planning sessions per hour. ` +
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`Reset at ${resetTime?.toISOString() || "unknown"}`
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);
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}
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const sessionId = randomUUID();
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// Generate first question based on initial plan (stub - AI will do this in future)
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const firstQuestion = generateFirstQuestion(initialPlan);
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const session: Session = {
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id: sessionId,
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ip,
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initialPlan,
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history: [],
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currentQuestion: firstQuestion,
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createdAt: new Date(),
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updatedAt: new Date(),
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};
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sessions.set(sessionId, session);
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return { sessionId, firstQuestion };
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}
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/**
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* Submit a response to the current question and get the next question or summary.
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* Stubbed - AI integration will be implemented in future.
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*/
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export async function submitResponse(
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sessionId: string,
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responses: Record<string, unknown>
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): Promise<PlanningResponse> {
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const session = sessions.get(sessionId);
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if (!session) {
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throw new SessionNotFoundError(`Planning session ${sessionId} not found or expired`);
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}
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|
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if (!session.currentQuestion) {
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throw new InvalidSessionStateError("No active question in session");
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}
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// Record the response
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session.history.push({
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question: session.currentQuestion,
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response: responses,
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});
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// Generate next question or summary (stub - AI will do this in future)
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const result = generateNextQuestionOrSummary(session);
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if (result.type === "question") {
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session.currentQuestion = result.data;
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} else {
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session.summary = result.data;
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session.currentQuestion = undefined;
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}
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session.updatedAt = new Date();
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return result;
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}
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/**
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* Cancel and cleanup a planning session.
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*/
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export async function cancelSession(sessionId: string): Promise<void> {
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const session = sessions.get(sessionId);
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if (!session) {
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throw new SessionNotFoundError(`Planning session ${sessionId} not found or expired`);
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}
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|
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sessions.delete(sessionId);
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||||
}
|
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|
||||
/**
|
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* Get session details.
|
||||
*/
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export function getSession(sessionId: string): Session | undefined {
|
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return sessions.get(sessionId);
|
||||
}
|
||||
|
||||
/**
|
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* Get the current question for a session.
|
||||
*/
|
||||
export function getCurrentQuestion(sessionId: string): PlanningQuestion | undefined {
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||||
return sessions.get(sessionId)?.currentQuestion;
|
||||
}
|
||||
|
||||
/**
|
||||
* Get the summary for a completed session.
|
||||
*/
|
||||
export function getSummary(sessionId: string): PlanningSummary | undefined {
|
||||
return sessions.get(sessionId)?.summary;
|
||||
}
|
||||
|
||||
/**
|
||||
* Cleanup a session (used after task creation).
|
||||
*/
|
||||
export function cleanupSession(sessionId: string): void {
|
||||
sessions.delete(sessionId);
|
||||
}
|
||||
|
||||
/**
|
||||
* Reset all planning state. Used for testing only.
|
||||
*/
|
||||
export function __resetPlanningState(): void {
|
||||
sessions.clear();
|
||||
rateLimits.clear();
|
||||
}
|
||||
|
||||
// ── Custom Errors ───────────────────────────────────────────────────────────
|
||||
|
||||
export class RateLimitError extends Error {
|
||||
constructor(message: string) {
|
||||
super(message);
|
||||
this.name = "RateLimitError";
|
||||
}
|
||||
}
|
||||
|
||||
export class SessionNotFoundError extends Error {
|
||||
constructor(message: string) {
|
||||
super(message);
|
||||
this.name = "SessionNotFoundError";
|
||||
}
|
||||
}
|
||||
|
||||
export class InvalidSessionStateError extends Error {
|
||||
constructor(message: string) {
|
||||
super(message);
|
||||
this.name = "InvalidSessionStateError";
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user