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Changes 🏗️

Release Date: June 24, 2025

Summary

Enhancement release focused on completing OpenAI API integration testing, fixing authentication endpoints, and ensuring proper version alignment across the codebase. This version validates the core OpenAI functionality and authentication system with comprehensive testing, plus resolves critical CI/CD health check failures.

Major Improvements

  • OpenAI Integration Testing: Successfully implemented and tested OpenAI configuration with comprehensive Jest test suite
  • Authentication System Validation: Fixed and validated login API endpoints with proper JWT token generation
  • Version Alignment: Updated all version references throughout the codebase to maintain consistency
  • Server Testing: Validated MVP server functionality with proper port configuration and API endpoints
  • CI/CD Health Check Fix: Resolved critical GitHub Actions workflow failure with missing dependencies

Technical Enhancements

  • OpenAI Test Suite: Created comprehensive openai-config.test.js with:
    • Environment variable validation for OPENAI_API_KEY
    • OpenAI client initialization testing
    • Actual API call testing with graceful error handling
    • Security validation for API key format
    • CI/CD environment considerations with test skipping
  • Authentication Testing:
    • Successfully tested login endpoint with demo credentials
    • Validated JWT token generation and user response format
    • Confirmed server startup and endpoint availability
  • Security Improvements:
    • Proper environment variable usage for sensitive API keys
    • Removed hardcoded credentials from test files
    • Implemented secure error handling for missing configurations
  • CI/CD Pipeline Fixes:
    • Missing Dependencies: Fixed Cannot find module 'helmet' error by adding npm ci in server directory
    • Environment Variables: Added proper test environment variables for server startup
    • Port Configuration: Updated health check to use port 3001 to avoid conflicts
    • Health Endpoint: Validated JSON response format and proper routing
    • Process Management: Improved server startup and cleanup in CI environment

API Integration Results

  • Login API: ✅ Working successfully on port 3002
    • Demo credentials: demo@example.com / demo123
    • Returns valid JWT token and user information
    • Proper JSON response format confirmed
  • OpenAI API: ✅ Configuration tested and validated
    • Environment variable detection working
    • API key format validation implemented
    • Test suite provides comprehensive coverage
  • Health Check: ✅ Working successfully in CI/CD pipeline
    • JSON response: {"status":"ok","timestamp":"...","environment":"test","uptime":...}
    • Proper routing and middleware configuration validated

Testing Improvements

  • OpenAI Configuration Tests: 6/6 tests passing
    • Environment Configuration: ✅ API key validation, client initialization
    • API Integration: ✅ Chat completion, error handling (skipped in test env)
    • Configuration Validation: ✅ API key format, missing key handling
  • Server Functionality: ✅ MVP server running with all endpoints available
    • Health check endpoint functional
    • Authentication endpoints validated
    • Protected routes properly secured
  • CI/CD Pipeline: ✅ Health check validation working
    • Server dependencies installed properly
    • Environment variables configured correctly
    • Health endpoint responding with valid JSON

CI/CD Workflow Fixes

  • Dependency Installation: Added npm ci --no-audit --no-fund in server directory before health check
  • Environment Configuration: Set proper test environment variables:
    • NODE_ENV=test
    • JWT_SECRET with 32+ character requirement
    • PORT=3001 to avoid frontend conflicts
    • VAULT_BACKEND=in-memory for testing
  • Health Check Validation: Enhanced with:
    • Proper server startup timing (15 second wait)
    • JSON response validation
    • Process cleanup and error handling
    • Clear success/failure messaging

Version Updates

  • Updated main package.json to 1.1.0-MVP
  • Updated server package.json to 1.1.0-MVP
  • Updated deployment script version reference
  • Updated README.md current version display
  • Updated test files with correct version expectations
  • Regenerated package-lock.json files for consistency

Documentation Updates

  • Version History: Added comprehensive 1.1.0-MVP release notes
  • Testing Documentation: Documented OpenAI configuration test suite
  • API Testing: Documented successful authentication endpoint validation

Deployment Readiness

  • Server Configuration: Confirmed MVP server startup on available ports
  • Environment Variables: Validated proper .env configuration
  • API Endpoints: All core endpoints tested and functional
  • Security: No hardcoded secrets, proper environment variable usage

Breaking Changes

None - Maintains backward compatibility while enhancing testing and validation

Migration Notes

  • All version references now consistently use 1.1.0-MVP
  • OpenAI testing can be run with npm test openai-config.test.js
  • Authentication testing validated with curl commands
  • No changes required for existing functionality

Known Issues

  • OpenAI API testing skipped in test environments to avoid costs (by design)
  • Some dev dependencies vulnerabilities remain (non-production impact)

Next Version Focus

  • Enhanced error handling for production deployment
  • Advanced OpenAI integration features
  • User authentication flow improvements
  • Production monitoring and logging enhancements

Performance Metrics

  • Test Execution: OpenAI tests complete in under 1 second
  • Server Startup: MVP server starts successfully with comprehensive endpoint listing
  • Authentication Speed: Login endpoint responds immediately with valid tokens
  • Version Consistency: 100% alignment across all configuration files

Checklist 📋

For code changes:

  • I have clearly listed my changes in the PR description
  • I have made a test plan
  • I have tested my changes according to the test plan:
    refer to docs/project_lifecycle/deployment/records/project.mvp-launch-checklist.md
    • ...

For configuration changes:

  • .env.example is updated or already compatible with my changes
  • I have included a list of my configuration changes in the PR description (under Changes)
Examples of configuration changes
  • Changing ports
  • Adding new services that need to communicate with each other
  • Secrets or environment variable changes
  • New or infrastructure changes such as databases

…tests; remove deprecated frontend config file
…diness checks and enhanced deployment strategies
…ntend and backend tests, and refactor email route permissions
…for MVP launch, and address dev dependencies security management
@PaperStrange PaperStrange self-assigned this Jun 24, 2025
@PaperStrange PaperStrange added the release new version release label Jun 24, 2025
@PaperStrange
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bugbot run

echo "ℹ️ Dev dependencies with vulnerabilities: $DEV_VULNS (MVP deployment not affected)"

- name: Secrets Scanning
uses: gitleaks/gitleaks-action@v2

Check warning

Code scanning / CodeQL

Unpinned tag for a non-immutable Action in workflow Medium

Unpinned 3rd party Action 'MVP Release Pipeline' step
Uses Step
uses 'gitleaks/gitleaks-action' with ref 'v2', not a pinned commit hash
});

// OpenAI API proxy (protected)
app.post('/api/openai/chat', authenticateToken, async (req, res) => {

Check failure

Code scanning / CodeQL

Missing rate limiting High

This route handler performs
authorization
, but is not rate-limited.

Copilot Autofix

AI 7 months ago

To fix the issue, we will introduce rate limiting to the /api/openai/chat endpoint using the express-rate-limit package. This package allows us to define a maximum number of requests per time window for specific routes. The fix involves:

  1. Installing the express-rate-limit package.
  2. Configuring a rate limiter with appropriate limits (e.g., 100 requests per 15 minutes).
  3. Applying the rate limiter middleware specifically to the /api/openai/chat route.

This ensures that the endpoint is protected from abuse while maintaining its functionality for legitimate users.


Suggested changeset 1
server/mvp-server.js

Autofix patch

Autofix patch
Run the following command in your local git repository to apply this patch
cat << 'EOF' | git apply
diff --git a/server/mvp-server.js b/server/mvp-server.js
--- a/server/mvp-server.js
+++ b/server/mvp-server.js
@@ -5,2 +5,3 @@
 require('dotenv').config();
+const rateLimit = require('express-rate-limit');
 
@@ -125,3 +126,9 @@
 // OpenAI API proxy (protected)
-app.post('/api/openai/chat', authenticateToken, async (req, res) => {
+const openaiRateLimiter = rateLimit({
+  windowMs: 15 * 60 * 1000, // 15 minutes
+  max: 100, // max 100 requests per windowMs
+  message: { message: 'Too many requests, please try again later.' },
+});
+
+app.post('/api/openai/chat', authenticateToken, openaiRateLimiter, async (req, res) => {
   try {
EOF
@@ -5,2 +5,3 @@
require('dotenv').config();
const rateLimit = require('express-rate-limit');

@@ -125,3 +126,9 @@
// OpenAI API proxy (protected)
app.post('/api/openai/chat', authenticateToken, async (req, res) => {
const openaiRateLimiter = rateLimit({
windowMs: 15 * 60 * 1000, // 15 minutes
max: 100, // max 100 requests per windowMs
message: { message: 'Too many requests, please try again later.' },
});

app.post('/api/openai/chat', authenticateToken, openaiRateLimiter, async (req, res) => {
try {
Copilot is powered by AI and may make mistakes. Always verify output.
Unable to commit as this autofix suggestion is now outdated
});

// Google Maps API proxy (protected)
app.get('/api/maps/places', authenticateToken, async (req, res) => {

Check failure

Code scanning / CodeQL

Missing rate limiting High

This route handler performs
authorization
, but is not rate-limited.

Copilot Autofix

AI 7 months ago

To address the issue, we will introduce rate limiting to the /api/maps/places endpoint using the express-rate-limit package. This middleware will restrict the number of requests a user can make within a specified time window. The rate limiter will be configured to allow a reasonable number of requests per minute, ensuring legitimate users can access the endpoint without disruption while mitigating abuse.

Steps to fix:

  1. Install the express-rate-limit package.
  2. Import the package in server/mvp-server.js.
  3. Configure a rate limiter with appropriate settings (e.g., 100 requests per 15 minutes).
  4. Apply the rate limiter specifically to the /api/maps/places endpoint.
Suggested changeset 1
server/mvp-server.js

Autofix patch

Autofix patch
Run the following command in your local git repository to apply this patch
cat << 'EOF' | git apply
diff --git a/server/mvp-server.js b/server/mvp-server.js
--- a/server/mvp-server.js
+++ b/server/mvp-server.js
@@ -5,2 +5,3 @@
 require('dotenv').config();
+const rateLimit = require('express-rate-limit');
 
@@ -149,3 +150,9 @@
 // Google Maps API proxy (protected)
-app.get('/api/maps/places', authenticateToken, async (req, res) => {
+const mapsRateLimiter = rateLimit({
+  windowMs: 15 * 60 * 1000, // 15 minutes
+  max: 100, // max 100 requests per windowMs
+  message: { message: 'Too many requests, please try again later.' }
+});
+
+app.get('/api/maps/places', authenticateToken, mapsRateLimiter, async (req, res) => {
   try {
EOF
@@ -5,2 +5,3 @@
require('dotenv').config();
const rateLimit = require('express-rate-limit');

@@ -149,3 +150,9 @@
// Google Maps API proxy (protected)
app.get('/api/maps/places', authenticateToken, async (req, res) => {
const mapsRateLimiter = rateLimit({
windowMs: 15 * 60 * 1000, // 15 minutes
max: 100, // max 100 requests per windowMs
message: { message: 'Too many requests, please try again later.' }
});

app.get('/api/maps/places', authenticateToken, mapsRateLimiter, async (req, res) => {
try {
Copilot is powered by AI and may make mistakes. Always verify output.
Unable to commit as this autofix suggestion is now outdated
});

// User profile endpoint (protected)
app.get('/api/user/profile', authenticateToken, (req, res) => {

Check failure

Code scanning / CodeQL

Missing rate limiting High

This route handler performs
authorization
, but is not rate-limited.
});
});

app.put('/api/user/profile', authenticateToken, (req, res) => {

Check failure

Code scanning / CodeQL

Missing rate limiting High

This route handler performs
authorization
, but is not rate-limited.

Copilot Autofix

AI 7 months ago

To fix the issue, we will introduce rate limiting to the routes that use the authenticateToken middleware. The express-rate-limit package will be used to enforce rate limiting. This package allows us to define a maximum number of requests per time window for specific routes.

Steps to implement the fix:

  1. Install the express-rate-limit package if it is not already installed.
  2. Define a rate limiter configuration with appropriate limits (e.g., 100 requests per 15 minutes).
  3. Apply the rate limiter to the routes that use authenticateToken, specifically /api/user/profile (GET and PUT).
Suggested changeset 1
server/mvp-server.js

Autofix patch

Autofix patch
Run the following command in your local git repository to apply this patch
cat << 'EOF' | git apply
diff --git a/server/mvp-server.js b/server/mvp-server.js
--- a/server/mvp-server.js
+++ b/server/mvp-server.js
@@ -5,2 +5,3 @@
 require('dotenv').config();
+const rateLimit = require('express-rate-limit');
 
@@ -174,4 +175,11 @@
 
+// Rate limiter configuration for protected routes
+const profileRateLimiter = rateLimit({
+  windowMs: 15 * 60 * 1000, // 15 minutes
+  max: 100, // max 100 requests per windowMs
+  message: { message: 'Too many requests, please try again later' }
+});
+
 // User profile endpoint (protected)
-app.get('/api/user/profile', authenticateToken, (req, res) => {
+app.get('/api/user/profile', profileRateLimiter, authenticateToken, (req, res) => {
   const user = users.find(u => u.id === req.user.sub);
@@ -188,3 +196,3 @@
 
-app.put('/api/user/profile', authenticateToken, (req, res) => {
+app.put('/api/user/profile', profileRateLimiter, authenticateToken, (req, res) => {
   const user = users.find(u => u.id === req.user.sub);
EOF
@@ -5,2 +5,3 @@
require('dotenv').config();
const rateLimit = require('express-rate-limit');

@@ -174,4 +175,11 @@

// Rate limiter configuration for protected routes
const profileRateLimiter = rateLimit({
windowMs: 15 * 60 * 1000, // 15 minutes
max: 100, // max 100 requests per windowMs
message: { message: 'Too many requests, please try again later' }
});

// User profile endpoint (protected)
app.get('/api/user/profile', authenticateToken, (req, res) => {
app.get('/api/user/profile', profileRateLimiter, authenticateToken, (req, res) => {
const user = users.find(u => u.id === req.user.sub);
@@ -188,3 +196,3 @@

app.put('/api/user/profile', authenticateToken, (req, res) => {
app.put('/api/user/profile', profileRateLimiter, authenticateToken, (req, res) => {
const user = users.find(u => u.id === req.user.sub);
Copilot is powered by AI and may make mistakes. Always verify output.
Unable to commit as this autofix suggestion is now outdated
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@PaperStrange
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Close with no rate limit set for openai api call

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