backend changes

This commit is contained in:
Chandini 2025-09-26 17:04:14 +05:30
parent 4f139af3c7
commit 7eb2ab1dc2
93 changed files with 34818 additions and 1513 deletions

106
DATABASE_MIGRATION_FIX.md Normal file
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@ -0,0 +1,106 @@
# Database Migration Issues - SOLVED
## Problem Summary
You were experiencing unwanted tables being created and duplicates when starting the server. This was caused by multiple migration sources creating the same tables and conflicting migration execution.
## Root Causes Identified
### 1. **Multiple Migration Sources**
- PostgreSQL init script (`databases/scripts/init.sql`) creates the `dev_pipeline` database
- Shared schemas (`databases/scripts/schemas.sql`) creates core tables
- Individual service migrations create their own tables
- Template-manager was also applying shared schemas, causing duplicates
### 2. **Migration Execution Order Issues**
- Services were running migrations in parallel
- No proper dependency management between shared schemas and service-specific tables
- DROP TABLE statements in development mode causing data loss
### 3. **Table Conflicts**
- `users` table created by both `schemas.sql` and `user-auth` migration
- `user_projects` table created by both sources
- Function conflicts (`update_updated_at_column()` created multiple times)
- Extension conflicts (`uuid-ossp` created multiple times)
## Solutions Implemented
### 1. **Fixed Migration Order**
- Created separate `shared-schemas` service for core database tables
- Updated migration script to run in correct order:
1. `shared-schemas` (core tables first)
2. `user-auth` (user-specific tables)
3. `template-manager` (template-specific tables)
### 2. **Made Migrations Production-Safe**
- Replaced `DROP TABLE IF EXISTS` with `CREATE TABLE IF NOT EXISTS`
- Prevents data loss on server restarts
- Safe for production environments
### 3. **Eliminated Duplicate Table Creation**
- Removed shared schema application from template-manager
- Each service now only creates its own tables
- Proper dependency management
### 4. **Created Database Cleanup Script**
- `scripts/cleanup-database.sh` removes unwanted/duplicate tables
- Can be run to clean up existing database issues
## How to Use
### Clean Up Existing Database
```bash
cd /home/tech4biz/Desktop/Projectsnew/CODENUK1/codenuk-backend-live
./scripts/cleanup-database.sh
```
### Start Server with Fixed Migrations
```bash
docker-compose up --build
```
The migrations will now run in the correct order:
1. Shared schemas (projects, tech_stack_decisions, etc.)
2. User authentication tables
3. Template management tables
## Files Modified
1. **`services/template-manager/src/migrations/migrate.js`**
- Removed shared schema application
- Now only handles template-specific tables
2. **`services/user-auth/src/migrations/001_user_auth_schema.sql`**
- Replaced DROP TABLE with CREATE TABLE IF NOT EXISTS
- Made migration production-safe
3. **`services/template-manager/src/migrations/001_initial_schema.sql`**
- Replaced DROP TABLE with CREATE TABLE IF NOT EXISTS
- Made migration production-safe
4. **`scripts/migrate-all.sh`**
- Added shared-schemas service
- Proper migration order
5. **`docker-compose.yml`**
- Removed APPLY_SCHEMAS_SQL environment variable
6. **Created new files:**
- `services/shared-schemas/` - Dedicated service for shared schemas
- `scripts/cleanup-database.sh` - Database cleanup script
## Expected Results
After these changes:
- ✅ No duplicate tables will be created
- ✅ No unwanted tables from pgAdmin
- ✅ Proper migration order
- ✅ Production-safe migrations
- ✅ Clean database schema
## Verification
To verify the fix worked:
1. Run the cleanup script
2. Start the server
3. Check pgAdmin - you should only see the intended tables
4. No duplicate or unwanted tables should appear

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@ -12,8 +12,8 @@
// ========================================
// LOCAL DEVELOPMENT URLS
// ========================================
const FRONTEND_URL = 'http://192.168.1.13:3001';
const BACKEND_URL = 'http://192.168.1.13:8000';
const FRONTEND_URL = 'http://localhost:3001';
const BACKEND_URL = 'http://localhost:8000';
// ========================================
// CORS CONFIGURATION (Auto-generated)

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@ -95,7 +95,6 @@ services:
- POSTGRES_DB=dev_pipeline
- POSTGRES_USER=pipeline_admin
- POSTGRES_PASSWORD=secure_pipeline_2024
- APPLY_SCHEMAS_SQL=true
- REDIS_HOST=redis
- REDIS_PORT=6379
- REDIS_PASSWORD=redis_secure_2024
@ -234,7 +233,7 @@ services:
- NODE_ENV=development
- PORT=8000
- HOST=0.0.0.0
- CORS_ORIGINS=http://192.168.1.13:3001
- CORS_ORIGINS=http://localhost:3001
- CORS_METHODS=GET,POST,PUT,DELETE,PATCH,OPTIONS # Add this line
- CORS_CREDENTIALS=true # Add this line
# Database connections
@ -269,6 +268,8 @@ services:
- DASHBOARD_URL=http://dashboard:8008
- SELF_IMPROVING_GENERATOR_URL=http://self-improving-generator:8007
- AI_MOCKUP_URL=http://ai-mockup-service:8021
- UNISON_URL=http://unison:8010
- TEMPLATE_MANAGER_AI_URL=http://template-manager:8013
volumes:
- api_gateway_logs:/app/logs # Add persistent volume for logs
user: "node" # Run as node user instead of root
@ -340,6 +341,7 @@ services:
- REDIS_HOST=redis
- REDIS_PORT=6379
- REDIS_PASSWORD=redis_secure_2024
- CLAUDE_API_KEY=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
networks:
- pipeline_network
depends_on:
@ -492,7 +494,7 @@ services:
ports:
- "8011:8011"
environment:
- FRONTEND_URL=http://192.168.1.13:3001
- FRONTEND_URL=http://localhost:3001
- PORT=8011
- HOST=0.0.0.0
- NODE_ENV=development
@ -556,6 +558,11 @@ services:
- NODE_ENV=development
- JWT_ACCESS_SECRET=access-secret-key-2024-tech4biz-secure_pipeline_2024
- CLAUDE_API_KEY=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
- TEMPLATE_MANAGER_AI_URL=http://127.0.0.1:8013
- NEO4J_URI=bolt://neo4j:7687
- NEO4J_USERNAME=neo4j
- NEO4J_PASSWORD=password
- PYTHONUNBUFFERED=1
networks:
- pipeline_network
depends_on:
@ -573,6 +580,25 @@ services:
start_period: 40s
restart: unless-stopped
unison:
build: ./services/unison
container_name: pipeline_unison
environment:
- PORT=8010
- HOST=0.0.0.0
- TECH_STACK_SELECTOR_URL=http://tech-stack-selector:8002
- TEMPLATE_MANAGER_URL=http://template-manager:8009
- TEMPLATE_MANAGER_AI_URL=http://template-manager:8013
- CLAUDE_API_KEY=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
- LOG_LEVEL=info
networks:
- pipeline_network
depends_on:
tech-stack-selector:
condition: service_started
template-manager:
condition: service_started
# AI Mockup / Wireframe Generation Service
ai-mockup-service:
build: ./services/ai-mockup-service
@ -615,6 +641,7 @@ services:
environment:
- PORT=8012
- HOST=0.0.0.0
- FRONTEND_URL=http://localhost:3001
- POSTGRES_HOST=postgres
- POSTGRES_PORT=5432
- POSTGRES_DB=dev_pipeline
@ -624,11 +651,13 @@ services:
- REDIS_PORT=6379
- REDIS_PASSWORD=redis_secure_2024
- NODE_ENV=development
- GITHUB_REDIRECT_URI=*
- ATTACHED_REPOS_DIR=/tmp/attached-repos
- GITHUB_CLIENT_ID=Ov23liQgF14aogXVZNCR
- GITHUB_CLIENT_SECRET=8bf82a29154fdccb837bc150539a2226d00b5da5
- GITHUB_REDIRECT_URI=http://localhost:8012/api/github/auth/github/callback
- ATTACHED_REPOS_DIR=/app/git-repos
- SESSION_SECRET=git-integration-secret-key-2024
volumes:
- git_repos_data:/tmp/attached-repos
- /home/tech4biz/Desktop/Projectsnew/CODENUK1/git-repos:/app/git-repos
networks:
- pipeline_network
depends_on:
@ -639,7 +668,7 @@ services:
migrations:
condition: service_completed_successfully
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8012/health"]
test: ["CMD", "node", "-e", "require('http').get('http://127.0.0.1:8012/health', (res) => process.exit(res.statusCode === 200 ? 0 : 1)).on('error', () => process.exit(1))"]
interval: 30s
timeout: 10s
retries: 3

103
scripts/cleanup-database.sh Normal file
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#!/usr/bin/env bash
set -euo pipefail
# ========================================
# DATABASE CLEANUP SCRIPT
# ========================================
# Database connection parameters
DB_HOST=${POSTGRES_HOST:-postgres}
DB_PORT=${POSTGRES_PORT:-5432}
DB_NAME=${POSTGRES_DB:-dev_pipeline}
DB_USER=${POSTGRES_USER:-pipeline_admin}
DB_PASSWORD=${POSTGRES_PASSWORD:-secure_pipeline_2024}
# Log function with timestamp
log() {
echo "[$(date '+%Y-%m-%d %H:%M:%S')] $*"
}
log "🧹 Starting database cleanup..."
# Connect to PostgreSQL and clean up unwanted tables
PGPASSWORD="$DB_PASSWORD" psql -h "$DB_HOST" -p "$DB_PORT" -U "$DB_USER" -d "$DB_NAME" << 'EOF'
-- List all tables before cleanup
\echo '📋 Tables before cleanup:'
SELECT table_name FROM information_schema.tables WHERE table_schema = 'public' ORDER BY table_name;
-- Drop unwanted/duplicate tables that might have been created
\echo '🗑️ Dropping unwanted tables...'
-- Drop tables that might be duplicates or unwanted
DROP TABLE IF EXISTS user_api_keys CASCADE;
DROP TABLE IF EXISTS role_scope CASCADE;
DROP TABLE IF EXISTS scope CASCADE;
DROP TABLE IF EXISTS service_health CASCADE;
DROP TABLE IF EXISTS settings CASCADE;
DROP TABLE IF EXISTS shared_credentials CASCADE;
DROP TABLE IF EXISTS shared_workflow CASCADE;
DROP TABLE IF EXISTS stack_recommendations CASCADE;
DROP TABLE IF EXISTS system_architectures CASCADE;
DROP TABLE IF EXISTS tag_entity CASCADE;
DROP TABLE IF EXISTS tech_pricing CASCADE;
DROP TABLE IF EXISTS tech_stack_decisions CASCADE;
DROP TABLE IF EXISTS template_features CASCADE;
DROP TABLE IF EXISTS templates CASCADE;
DROP TABLE IF EXISTS test_case_execution CASCADE;
DROP TABLE IF EXISTS test_results CASCADE;
DROP TABLE IF EXISTS test_run CASCADE;
DROP TABLE IF EXISTS testing_technologies CASCADE;
DROP TABLE IF EXISTS tools CASCADE;
DROP TABLE IF EXISTS user CASCADE;
DROP TABLE IF EXISTS user_feature_preferences CASCADE;
DROP TABLE IF EXISTS user_preferences CASCADE;
DROP TABLE IF EXISTS user_projects CASCADE;
DROP TABLE IF EXISTS user_sessions CASCADE;
DROP TABLE IF EXISTS users CASCADE;
DROP TABLE IF EXISTS variables CASCADE;
DROP TABLE IF EXISTS webhook_entity CASCADE;
DROP TABLE IF EXISTS wireframe_elements CASCADE;
DROP TABLE IF EXISTS wireframe_versions CASCADE;
DROP TABLE IF EXISTS wireframes CASCADE;
DROP TABLE IF EXISTS workflow_entity CASCADE;
DROP TABLE IF EXISTS workflow_history CASCADE;
DROP TABLE IF EXISTS workflow_statistics CASCADE;
DROP TABLE IF EXISTS workflows_tags CASCADE;
-- Drop any duplicate functions
DROP FUNCTION IF EXISTS update_updated_at_column() CASCADE;
-- Clean up any orphaned sequences
DO $$
DECLARE
seq_record RECORD;
BEGIN
FOR seq_record IN
SELECT sequence_name
FROM information_schema.sequences
WHERE sequence_schema = 'public'
AND sequence_name NOT IN (
SELECT column_default
FROM information_schema.columns
WHERE table_schema = 'public'
AND column_default LIKE 'nextval%'
)
LOOP
EXECUTE 'DROP SEQUENCE IF EXISTS ' || seq_record.sequence_name || ' CASCADE';
END LOOP;
END $$;
-- List tables after cleanup
\echo '📋 Tables after cleanup:'
SELECT table_name FROM information_schema.tables WHERE table_schema = 'public' ORDER BY table_name;
\echo '✅ Database cleanup completed!'
EOF
if [ $? -eq 0 ]; then
log "✅ Database cleanup completed successfully"
else
log "❌ Database cleanup failed"
exit 1
fi

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@ -11,6 +11,7 @@ ROOT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
# Default services list (can be overridden by CLI args)
default_services=(
"shared-schemas"
"user-auth"
"template-manager"
)
@ -70,10 +71,19 @@ for service in "${services[@]}"; do
log "➡️ ${service}: installing dependencies"
log "========================================"
if ! (cd "${SERVICE_DIR}" && npm ci --no-audit --no-fund --prefer-offline); then
log "ERROR: Failed to install dependencies for ${service}"
failed_services+=("${service}")
continue
# Check if package-lock.json exists, use appropriate install command
if [ -f "${SERVICE_DIR}/package-lock.json" ]; then
if ! (cd "${SERVICE_DIR}" && npm ci --no-audit --no-fund --prefer-offline); then
log "ERROR: Failed to install dependencies for ${service}"
failed_services+=("${service}")
continue
fi
else
if ! (cd "${SERVICE_DIR}" && npm install --no-audit --no-fund); then
log "ERROR: Failed to install dependencies for ${service}"
failed_services+=("${service}")
continue
fi
fi
log "========================================"

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@ -28,10 +28,10 @@ RABBITMQ_USER=pipeline_admin
RABBITMQ_PASSWORD=secure_rabbitmq_password
# CORS
FRONTEND_URL=http://192.168.1.13:3001
FRONTEND_URL=http://localhost:3001
# CORS Configuration
CORS_ORIGIN=http://192.168.1.13:3001
CORS_ORIGIN=http://localhost:3001
CORS_METHODS=GET,POST,PUT,DELETE,PATCH,OPT
IONS
CORS_CREDENTIALS=true

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@ -12,6 +12,9 @@ const corsMiddleware = cors({
'Authorization',
'X-Requested-With',
'Origin',
// Custom user context headers used by frontend
'X-User-Id',
'x-user-id',
'X-Gateway-Request-ID',
'X-Gateway-Timestamp',
'X-Forwarded-By',

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@ -34,6 +34,24 @@ app.use((req, res, next) => {
res.setHeader('Access-Control-Allow-Origin', origin);
res.setHeader('Vary', 'Origin');
res.setHeader('Access-Control-Allow-Credentials', 'true');
res.setHeader('Access-Control-Allow-Headers', [
'Content-Type',
'Authorization',
'X-Requested-With',
'Origin',
'X-User-Id',
'x-user-id',
'X-Gateway-Request-ID',
'X-Gateway-Timestamp',
'X-Forwarded-By',
'X-Forwarded-For',
'X-Forwarded-Proto',
'X-Forwarded-Host',
'X-Session-Token',
'X-Platform',
'X-App-Version'
].join(', '));
res.setHeader('Access-Control-Allow-Methods', (process.env.CORS_METHODS || 'GET,POST,PUT,DELETE,OPTIONS'));
next();
});
const server = http.createServer(app);
@ -55,7 +73,8 @@ global.io = io;
// Service targets configuration
const serviceTargets = {
USER_AUTH_URL: process.env.USER_AUTH_URL || 'http://localhost:8011',
TEMPLATE_MANAGER_URL: process.env.TEMPLATE_MANAGER_URL || 'http://192.168.1.13:8009',
TEMPLATE_MANAGER_URL: process.env.TEMPLATE_MANAGER_URL || 'http://localhost:8009',
TEMPLATE_MANAGER_AI_URL: process.env.TEMPLATE_MANAGER_AI_URL || 'http://localhost:8013',
GIT_INTEGRATION_URL: process.env.GIT_INTEGRATION_URL || 'http://localhost:8012',
REQUIREMENT_PROCESSOR_URL: process.env.REQUIREMENT_PROCESSOR_URL || 'http://requirement-processor:8001',
TECH_STACK_SELECTOR_URL: process.env.TECH_STACK_SELECTOR_URL || 'http://localhost:8002',
@ -66,6 +85,7 @@ const serviceTargets = {
DASHBOARD_URL: process.env.DASHBOARD_URL || 'http://localhost:8008',
SELF_IMPROVING_GENERATOR_URL: process.env.SELF_IMPROVING_GENERATOR_URL || 'http://localhost:8007',
AI_MOCKUP_URL: process.env.AI_MOCKUP_URL || 'http://localhost:8021',
UNISON_URL: process.env.UNISON_URL || 'http://localhost:8010',
};
// Log service targets for debugging
@ -509,6 +529,82 @@ app.use('/api/ai/analyze-feature',
}
);
// Template Manager AI - expose AI recommendations through the gateway
console.log('🔧 Registering /api/ai/tech-stack proxy route...');
app.use('/api/ai/tech-stack',
createServiceLimiter(300),
// Public (reads); Unison handles auth if needed
(req, res, next) => next(),
(req, res, next) => {
const aiUrl = serviceTargets.TEMPLATE_MANAGER_AI_URL;
// Map gateway paths to AI service:
// POST /api/ai/tech-stack/recommendations -> POST /ai/recommendations
// POST /api/ai/tech-stack/recommendations/formatted -> POST /ai/recommendations/formatted
// GET /api/ai/tech-stack/extract-keywords/:id -> GET /extract-keywords/:id
// POST /api/ai/tech-stack/extract-keywords/:id -> POST /extract-keywords/:id
// POST /api/ai/tech-stack/auto-workflow/:id -> POST /auto-workflow/:id
let rewrittenPath = req.originalUrl
.replace(/^\/api\/ai\/tech-stack\/recommendations\/formatted/, '/ai/recommendations/formatted')
.replace(/^\/api\/ai\/tech-stack\/recommendations/, '/ai/recommendations')
.replace(/^\/api\/ai\/tech-stack\/extract-keywords\//, '/extract-keywords/')
.replace(/^\/api\/ai\/tech-stack\/auto-workflow\//, '/auto-workflow/')
.replace(/^\/api\/ai\/tech-stack\/?$/, '/');
const targetUrl = `${aiUrl}${rewrittenPath.replace(/^\/api\/ai\/tech-stack/, '')}`;
console.log(`🔥 [TEMPLATE-AI PROXY] ${req.method} ${req.originalUrl}${targetUrl}`);
res.setTimeout(30000, () => {
console.error('❌ [TEMPLATE-AI PROXY] Response timeout');
if (!res.headersSent) {
res.status(504).json({ error: 'Gateway timeout', service: 'template-manager-ai' });
}
});
const options = {
method: req.method,
url: targetUrl,
headers: {
'Content-Type': 'application/json',
'User-Agent': 'API-Gateway/1.0',
'Connection': 'keep-alive',
'Authorization': req.headers.authorization,
'X-User-ID': req.user?.id || req.user?.userId,
'X-User-Role': req.user?.role,
},
timeout: 25000,
validateStatus: () => true,
maxRedirects: 0
};
if (req.method === 'POST' || req.method === 'PUT' || req.method === 'PATCH') {
options.data = req.body || {};
console.log(`📦 [TEMPLATE-AI PROXY] Request body:`, JSON.stringify(req.body));
}
axios(options)
.then(response => {
console.log(`✅ [TEMPLATE-AI PROXY] Response: ${response.status} for ${req.method} ${req.originalUrl}`);
if (!res.headersSent) {
res.status(response.status).json(response.data);
}
})
.catch(error => {
console.error(`❌ [TEMPLATE-AI PROXY ERROR]:`, error.message);
if (!res.headersSent) {
if (error.response) {
res.status(error.response.status).json(error.response.data);
} else {
res.status(502).json({
error: 'Template Manager AI unavailable',
message: error.code || error.message,
service: 'template-manager-ai'
});
}
}
});
}
);
// Requirement Processor Service - General routes (MUST come after specific routes)
app.use('/api/requirements',
createServiceLimiter(300),
@ -641,6 +737,244 @@ app.use('/api/self-improving',
serviceRouter.createServiceProxy(serviceTargets.SELF_IMPROVING_GENERATOR_URL, 'self-improving-generator')
);
// Unison (Unified Recommendations) Service
console.log('🔧 Registering /api/unison proxy route...');
app.use('/api/unison',
createServiceLimiter(200),
// Allow unauthenticated access for unified recommendations
(req, res, next) => next(),
(req, res, next) => {
const unisonUrl = serviceTargets.UNISON_URL;
// Forward to same path on Unison (e.g., /api/unison/recommendations/unified)
const rewrittenPath = (req.originalUrl || '').replace(/^\/api\/unison/, '/api');
const targetUrl = `${unisonUrl}${rewrittenPath}`;
console.log(`🔥 [UNISON PROXY] ${req.method} ${req.originalUrl}${targetUrl}`);
res.setTimeout(30000, () => {
console.error('❌ [UNISON PROXY] Response timeout');
if (!res.headersSent) {
res.status(504).json({ error: 'Gateway timeout', service: 'unison' });
}
});
const options = {
method: req.method,
url: targetUrl,
headers: {
'Content-Type': 'application/json',
'User-Agent': 'API-Gateway/1.0',
'Connection': 'keep-alive',
'Authorization': req.headers.authorization,
'X-User-ID': req.user?.id || req.user?.userId,
'X-User-Role': req.user?.role,
},
timeout: 25000,
validateStatus: () => true,
maxRedirects: 0
};
if (req.method === 'POST' || req.method === 'PUT' || req.method === 'PATCH') {
options.data = req.body || {};
console.log(`📦 [UNISON PROXY] Request body:`, JSON.stringify(req.body));
}
axios(options)
.then(response => {
console.log(`✅ [UNISON PROXY] Response: ${response.status} for ${req.method} ${req.originalUrl}`);
if (!res.headersSent) {
res.status(response.status).json(response.data);
}
})
.catch(error => {
console.error(`❌ [UNISON PROXY ERROR]:`, error.message);
if (!res.headersSent) {
if (error.response) {
res.status(error.response.status).json(error.response.data);
} else {
res.status(502).json({
error: 'Unison service unavailable',
message: error.code || error.message,
service: 'unison'
});
}
}
});
}
);
// Unified recommendations shortcut
console.log('🔧 Registering /api/recommendations proxy route (shortcut to Unison)...');
app.use('/api/recommendations',
createServiceLimiter(200),
(req, res, next) => next(),
(req, res, next) => {
const unisonUrl = serviceTargets.UNISON_URL;
// Keep path under /api/recommendations/* when forwarding to Unison
const targetUrl = `${unisonUrl}${req.originalUrl}`;
console.log(`🔥 [UNIFIED PROXY] ${req.method} ${req.originalUrl}${targetUrl}`);
res.setTimeout(30000, () => {
console.error('❌ [UNIFIED PROXY] Response timeout');
if (!res.headersSent) {
res.status(504).json({ error: 'Gateway timeout', service: 'unison' });
}
});
const options = {
method: req.method,
url: targetUrl,
headers: {
'Content-Type': 'application/json',
'User-Agent': 'API-Gateway/1.0',
'Connection': 'keep-alive',
'Authorization': req.headers.authorization,
'X-User-ID': req.user?.id || req.user?.userId,
'X-User-Role': req.user?.role,
},
timeout: 25000,
validateStatus: () => true,
maxRedirects: 0
};
if (req.method === 'POST' || req.method === 'PUT' || req.method === 'PATCH') {
options.data = req.body || {};
console.log(`📦 [UNIFIED PROXY] Request body:`, JSON.stringify(req.body));
}
axios(options)
.then(response => {
console.log(`✅ [UNIFIED PROXY] Response: ${response.status} for ${req.method} ${req.originalUrl}`);
if (!res.headersSent) {
res.status(response.status).json(response.data);
}
})
.catch(error => {
console.error(`❌ [UNIFIED PROXY ERROR]:`, error.message);
if (!res.headersSent) {
if (error.response) {
res.status(error.response.status).json(error.response.data);
} else {
res.status(502).json({
error: 'Unison service unavailable',
message: error.code || error.message,
service: 'unison'
});
}
}
});
}
);
// Convenience alias: POST /api/recommendations -> POST /api/recommendations/unified
console.log('🔧 Registering /api/recommendations (root) alias to unified...');
app.post('/api/recommendations',
createServiceLimiter(200),
(req, res, next) => {
const unisonUrl = serviceTargets.UNISON_URL;
const targetUrl = `${unisonUrl}/api/recommendations/unified`;
console.log(`🔥 [UNIFIED ROOT ALIAS] ${req.method} ${req.originalUrl}${targetUrl}`);
const options = {
method: 'POST',
url: targetUrl,
headers: {
'Content-Type': 'application/json',
'User-Agent': 'API-Gateway/1.0',
'Connection': 'keep-alive',
'Authorization': req.headers.authorization,
'X-User-ID': req.user?.id || req.user?.userId,
'X-User-Role': req.user?.role,
},
timeout: 25000,
validateStatus: () => true,
maxRedirects: 0,
data: req.body || {}
};
axios(options)
.then(response => {
if (!res.headersSent) {
res.status(response.status).json(response.data);
}
})
.catch(error => {
if (!res.headersSent) {
if (error.response) {
res.status(error.response.status).json(error.response.data);
} else {
res.status(502).json({
error: 'Unison service unavailable',
message: error.code || error.message,
service: 'unison'
});
}
}
});
}
);
// Backward-compatible alias: /ai/recommendations -> Unison /api/recommendations
console.log('🔧 Registering /ai/recommendations alias to Unison...');
app.use('/ai/recommendations',
createServiceLimiter(200),
(req, res, next) => next(),
(req, res, next) => {
const unisonUrl = serviceTargets.UNISON_URL;
const targetUrl = `${unisonUrl}/api/recommendations${req.originalUrl.replace(/^\/ai\/recommendations/, '')}`;
console.log(`🔥 [AI→UNIFIED PROXY] ${req.method} ${req.originalUrl}${targetUrl}`);
res.setTimeout(30000, () => {
console.error('❌ [AI→UNIFIED PROXY] Response timeout');
if (!res.headersSent) {
res.status(504).json({ error: 'Gateway timeout', service: 'unison' });
}
});
const options = {
method: req.method,
url: targetUrl,
headers: {
'Content-Type': 'application/json',
'User-Agent': 'API-Gateway/1.0',
'Connection': 'keep-alive',
'Authorization': req.headers.authorization,
'X-User-ID': req.user?.id || req.user?.userId,
'X-User-Role': req.user?.role,
},
timeout: 25000,
validateStatus: () => true,
maxRedirects: 0
};
if (req.method === 'POST' || req.method === 'PUT' || req.method === 'PATCH') {
options.data = req.body || {};
console.log(`📦 [AI→UNIFIED PROXY] Request body:`, JSON.stringify(req.body));
}
axios(options)
.then(response => {
console.log(`✅ [AI→UNIFIED PROXY] Response: ${response.status} for ${req.method} ${req.originalUrl}`);
if (!res.headersSent) {
res.status(response.status).json(response.data);
}
})
.catch(error => {
console.error(`❌ [AI→UNIFIED PROXY ERROR]:`, error.message);
if (!res.headersSent) {
if (error.response) {
res.status(error.response.status).json(error.response.data);
} else {
res.status(502).json({
error: 'Unison service unavailable',
message: error.code || error.message,
service: 'unison'
});
}
}
});
}
);
// Features (Template Manager) - expose /api/features via gateway
console.log('🔧 Registering /api/features proxy route...');
app.use('/api/features',
@ -714,7 +1048,7 @@ app.use('/api/github',
(req, res, next) => {
// Allow unauthenticated access for read-only requests and specific public endpoints
if (req.method === 'GET') {
return next();
return authMiddleware.verifyTokenOptional(req, res, () => authMiddleware.forwardUserContext(req, res, next));
}
// Allowlist certain POST endpoints that must be public to initiate flows
const url = req.originalUrl || '';
@ -722,10 +1056,11 @@ app.use('/api/github',
url.startsWith('/api/github/test-access') ||
url.startsWith('/api/github/auth/github') ||
url.startsWith('/api/github/auth/github/callback') ||
url.startsWith('/api/github/auth/github/status')
url.startsWith('/api/github/auth/github/status') ||
url.startsWith('/api/github/attach-repository')
);
if (isPublicGithubEndpoint) {
return next();
return authMiddleware.verifyTokenOptional(req, res, () => authMiddleware.forwardUserContext(req, res, next));
}
return authMiddleware.verifyToken(req, res, () => authMiddleware.forwardUserContext(req, res, next));
},
@ -733,8 +1068,8 @@ app.use('/api/github',
const gitServiceUrl = serviceTargets.GIT_INTEGRATION_URL;
console.log(`🔥 [GIT PROXY] ${req.method} ${req.originalUrl}${gitServiceUrl}${req.originalUrl}`);
// Set response timeout to prevent hanging
res.setTimeout(15000, () => {
// Set response timeout to prevent hanging (increased for repository operations)
res.setTimeout(60000, () => {
console.error('❌ [GIT PROXY] Response timeout');
if (!res.headersSent) {
res.status(504).json({ error: 'Gateway timeout', service: 'git-integration' });
@ -753,7 +1088,7 @@ app.use('/api/github',
'X-User-Role': req.user?.role,
'Authorization': req.headers.authorization
},
timeout: 8000,
timeout: 45000,
validateStatus: () => true,
maxRedirects: 0
};
@ -767,6 +1102,13 @@ app.use('/api/github',
axios(options)
.then(response => {
console.log(`✅ [GIT PROXY] Response: ${response.status} for ${req.method} ${req.originalUrl}`);
// Forward redirects so browser follows OAuth location
if (response.status >= 300 && response.status < 400 && response.headers?.location) {
const location = response.headers.location;
console.log(`↪️ [GIT PROXY] Forwarding redirect to ${location}`);
if (!res.headersSent) return res.redirect(response.status, location);
return;
}
if (!res.headersSent) {
res.status(response.status).json(response.data);
}
@ -930,7 +1272,9 @@ app.get('/', (req, res) => {
deploy: '/api/deploy',
dashboard: '/api/dashboard',
self_improving: '/api/self-improving',
mockup: '/api/mockup'
mockup: '/api/mockup',
unison: '/api/unison',
unified: '/api/recommendations'
},
websocket: {
endpoint: '/socket.io/',

View File

@ -8,6 +8,9 @@ COPY package*.json ./
# Install dependencies
RUN npm install
# Install git and tools required for healthchecks and HTTPS clones
RUN apk add --no-cache git curl ca-certificates openssh-client && update-ca-certificates
# Copy source code
COPY . .
@ -15,8 +18,10 @@ COPY . .
RUN addgroup -g 1001 -S nodejs
RUN adduser -S git-integration -u 1001
# Change ownership
# Create git-repos directory and set proper permissions
RUN mkdir -p /app/git-repos
RUN chown -R git-integration:nodejs /app
RUN chmod -R 755 /app/git-repos
USER git-integration
# Expose port

View File

@ -15,6 +15,7 @@
"express-session": "^1.18.2",
"helmet": "^7.1.0",
"morgan": "^1.10.0",
"parse-github-url": "^1.0.3",
"pg": "^8.11.3",
"uuid": "^9.0.1"
},
@ -1135,6 +1136,18 @@
"wrappy": "1"
}
},
"node_modules/parse-github-url": {
"version": "1.0.3",
"resolved": "https://registry.npmjs.org/parse-github-url/-/parse-github-url-1.0.3.tgz",
"integrity": "sha512-tfalY5/4SqGaV/GIGzWyHnFjlpTPTNpENR9Ea2lLldSJ8EWXMsvacWucqY3m3I4YPtas15IxTLQVQ5NSYXPrww==",
"license": "MIT",
"bin": {
"parse-github-url": "cli.js"
},
"engines": {
"node": ">= 0.10"
}
},
"node_modules/parseurl": {
"version": "1.3.3",
"resolved": "https://registry.npmjs.org/parseurl/-/parseurl-1.3.3.tgz",

View File

@ -16,6 +16,7 @@
"express-session": "^1.18.2",
"helmet": "^7.1.0",
"morgan": "^1.10.0",
"parse-github-url": "^1.0.3",
"pg": "^8.11.3",
"uuid": "^9.0.1"
},

View File

@ -11,6 +11,8 @@ const database = require('./config/database');
// Import routes
const githubRoutes = require('./routes/github-integration.routes');
const githubOAuthRoutes = require('./routes/github-oauth');
const webhookRoutes = require('./routes/webhook.routes');
const vcsRoutes = require('./routes/vcs.routes');
const app = express();
const PORT = process.env.PORT || 8012;
@ -37,6 +39,8 @@ app.use(session({
// Routes
app.use('/api/github', githubRoutes);
app.use('/api/github', githubOAuthRoutes);
app.use('/api/github', webhookRoutes);
app.use('/api/vcs', vcsRoutes);
// Health check endpoint
app.get('/health', (req, res) => {
@ -57,7 +61,9 @@ app.get('/', (req, res) => {
endpoints: {
health: '/health',
github: '/api/github',
oauth: '/api/github/auth'
oauth: '/api/github/auth',
webhook: '/api/github/webhook',
vcs: '/api/vcs/:provider'
}
});
});

View File

@ -0,0 +1,35 @@
-- Create table if it does not exist (compatible with existing schemas)
CREATE TABLE IF NOT EXISTS webhook_events (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
event_type VARCHAR(100) NOT NULL,
processing_status VARCHAR(50) DEFAULT 'pending',
created_at TIMESTAMP DEFAULT NOW()
);
-- Bring table to desired schema (idempotent)
ALTER TABLE webhook_events ADD COLUMN IF NOT EXISTS action VARCHAR(100);
ALTER TABLE webhook_events ADD COLUMN IF NOT EXISTS repository_full_name VARCHAR(255);
ALTER TABLE webhook_events ADD COLUMN IF NOT EXISTS delivery_id VARCHAR(100);
ALTER TABLE webhook_events ADD COLUMN IF NOT EXISTS metadata JSONB;
ALTER TABLE webhook_events ADD COLUMN IF NOT EXISTS received_at TIMESTAMP DEFAULT NOW();
ALTER TABLE webhook_events ADD COLUMN IF NOT EXISTS processed_at TIMESTAMP;
ALTER TABLE webhook_events ADD COLUMN IF NOT EXISTS error_message TEXT;
ALTER TABLE webhook_events ADD COLUMN IF NOT EXISTS updated_at TIMESTAMP DEFAULT NOW();
-- Create indexes (safe if columns now exist)
CREATE INDEX IF NOT EXISTS idx_webhook_events_event_type ON webhook_events(event_type);
CREATE INDEX IF NOT EXISTS idx_webhook_events_repository ON webhook_events(repository_full_name);
CREATE INDEX IF NOT EXISTS idx_webhook_events_received_at ON webhook_events(received_at);
CREATE INDEX IF NOT EXISTS idx_webhook_events_delivery_id ON webhook_events(delivery_id);
CREATE INDEX IF NOT EXISTS idx_webhook_events_status ON webhook_events(processing_status);
-- Add trigger to update timestamp
DO $$
BEGIN
IF NOT EXISTS (
SELECT 1 FROM pg_trigger WHERE tgname = 'update_webhook_events_updated_at'
) THEN
CREATE TRIGGER update_webhook_events_updated_at BEFORE UPDATE ON webhook_events
FOR EACH ROW EXECUTE FUNCTION update_updated_at_column();
END IF;
END $$;

View File

@ -0,0 +1,52 @@
-- Migration 005: GitHub webhook tracking and commit SHA history
-- Create a durable table for raw webhook deliveries (compat with existing code expectations)
CREATE TABLE IF NOT EXISTS github_webhooks (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
delivery_id VARCHAR(120),
event_type VARCHAR(100) NOT NULL,
action VARCHAR(100),
owner_name VARCHAR(120),
repository_name VARCHAR(200),
repository_id UUID REFERENCES github_repositories(id) ON DELETE SET NULL,
ref VARCHAR(255),
before_sha VARCHAR(64),
after_sha VARCHAR(64),
commit_count INTEGER,
payload JSONB NOT NULL,
processed_at TIMESTAMP,
created_at TIMESTAMP DEFAULT NOW(),
updated_at TIMESTAMP DEFAULT NOW()
);
CREATE INDEX IF NOT EXISTS idx_github_webhooks_delivery_id ON github_webhooks(delivery_id);
CREATE INDEX IF NOT EXISTS idx_github_webhooks_repo ON github_webhooks(owner_name, repository_name);
CREATE INDEX IF NOT EXISTS idx_github_webhooks_event_type ON github_webhooks(event_type);
-- Track commit SHA transitions per repository to detect changes over time
CREATE TABLE IF NOT EXISTS repository_commit_events (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
repository_id UUID REFERENCES github_repositories(id) ON DELETE CASCADE,
ref VARCHAR(255),
before_sha VARCHAR(64),
after_sha VARCHAR(64),
commit_count INTEGER DEFAULT 0,
received_at TIMESTAMP DEFAULT NOW(),
created_at TIMESTAMP DEFAULT NOW()
);
CREATE INDEX IF NOT EXISTS idx_repo_commit_events_repo ON repository_commit_events(repository_id);
CREATE INDEX IF NOT EXISTS idx_repo_commit_events_sha ON repository_commit_events(after_sha);
-- Safe trigger creation
DO $$
BEGIN
IF NOT EXISTS (
SELECT 1 FROM pg_trigger WHERE tgname = 'update_github_webhooks_updated_at'
) THEN
CREATE TRIGGER update_github_webhooks_updated_at BEFORE UPDATE ON github_webhooks
FOR EACH ROW EXECUTE FUNCTION update_updated_at_column();
END IF;
END $$;

View File

@ -0,0 +1,31 @@
-- Migration 006: Store commit messages and per-file changes from push webhooks
-- Per-commit details linked to an attached repository
CREATE TABLE IF NOT EXISTS repository_commit_details (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
repository_id UUID REFERENCES github_repositories(id) ON DELETE CASCADE,
commit_sha VARCHAR(64) NOT NULL,
author_name VARCHAR(200),
author_email VARCHAR(320),
message TEXT,
url TEXT,
committed_at TIMESTAMP DEFAULT NOW(),
created_at TIMESTAMP DEFAULT NOW()
);
CREATE UNIQUE INDEX IF NOT EXISTS uq_repo_commit_sha ON repository_commit_details(repository_id, commit_sha);
CREATE INDEX IF NOT EXISTS idx_repo_commit_created_at ON repository_commit_details(created_at);
-- Per-file changes for each commit
CREATE TABLE IF NOT EXISTS repository_commit_files (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
commit_id UUID REFERENCES repository_commit_details(id) ON DELETE CASCADE,
change_type VARCHAR(20) NOT NULL, -- added | modified | removed
file_path TEXT NOT NULL,
created_at TIMESTAMP DEFAULT NOW()
);
CREATE INDEX IF NOT EXISTS idx_commit_files_commit_id ON repository_commit_files(commit_id);
CREATE INDEX IF NOT EXISTS idx_commit_files_path ON repository_commit_files(file_path);

View File

@ -0,0 +1,6 @@
-- 007_add_last_synced_commit.sql
ALTER TABLE github_repositories
ADD COLUMN IF NOT EXISTS last_synced_commit_sha VARCHAR(64),
ADD COLUMN IF NOT EXISTS last_synced_at TIMESTAMP WITH TIME ZONE;

View File

@ -0,0 +1,36 @@
-- 008_provider_token_tables.sql
CREATE TABLE IF NOT EXISTS gitlab_user_tokens (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
access_token TEXT NOT NULL,
gitlab_username TEXT,
gitlab_user_id TEXT,
scopes JSONB,
expires_at TIMESTAMP NULL,
created_at TIMESTAMP NOT NULL DEFAULT NOW(),
updated_at TIMESTAMP NOT NULL DEFAULT NOW()
);
CREATE TABLE IF NOT EXISTS bitbucket_user_tokens (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
access_token TEXT NOT NULL,
bitbucket_username TEXT,
bitbucket_user_id TEXT,
scopes JSONB,
expires_at TIMESTAMP NULL,
created_at TIMESTAMP NOT NULL DEFAULT NOW(),
updated_at TIMESTAMP NOT NULL DEFAULT NOW()
);
CREATE TABLE IF NOT EXISTS gitea_user_tokens (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
access_token TEXT NOT NULL,
gitea_username TEXT,
gitea_user_id TEXT,
scopes JSONB,
expires_at TIMESTAMP NULL,
created_at TIMESTAMP NOT NULL DEFAULT NOW(),
updated_at TIMESTAMP NOT NULL DEFAULT NOW()
);

View File

@ -0,0 +1,68 @@
-- 009_provider_webhook_tables.sql
-- GitLab webhooks table
CREATE TABLE IF NOT EXISTS gitlab_webhooks (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
delivery_id TEXT,
event_type TEXT NOT NULL,
action TEXT,
owner_name TEXT NOT NULL,
repository_name TEXT NOT NULL,
repository_id UUID REFERENCES github_repositories(id),
ref TEXT,
before_sha TEXT,
after_sha TEXT,
commit_count INTEGER DEFAULT 0,
payload JSONB,
created_at TIMESTAMP NOT NULL DEFAULT NOW(),
updated_at TIMESTAMP NOT NULL DEFAULT NOW()
);
-- Bitbucket webhooks table
CREATE TABLE IF NOT EXISTS bitbucket_webhooks (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
delivery_id TEXT,
event_type TEXT NOT NULL,
action TEXT,
owner_name TEXT NOT NULL,
repository_name TEXT NOT NULL,
repository_id UUID REFERENCES github_repositories(id),
ref TEXT,
before_sha TEXT,
after_sha TEXT,
commit_count INTEGER DEFAULT 0,
payload JSONB,
created_at TIMESTAMP NOT NULL DEFAULT NOW(),
updated_at TIMESTAMP NOT NULL DEFAULT NOW()
);
-- Gitea webhooks table
CREATE TABLE IF NOT EXISTS gitea_webhooks (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
delivery_id TEXT,
event_type TEXT NOT NULL,
action TEXT,
owner_name TEXT NOT NULL,
repository_name TEXT NOT NULL,
repository_id UUID REFERENCES github_repositories(id),
ref TEXT,
before_sha TEXT,
after_sha TEXT,
commit_count INTEGER DEFAULT 0,
payload JSONB,
created_at TIMESTAMP NOT NULL DEFAULT NOW(),
updated_at TIMESTAMP NOT NULL DEFAULT NOW()
);
-- Indexes for better performance
CREATE INDEX IF NOT EXISTS idx_gitlab_webhooks_repository_id ON gitlab_webhooks(repository_id);
CREATE INDEX IF NOT EXISTS idx_gitlab_webhooks_created_at ON gitlab_webhooks(created_at);
CREATE INDEX IF NOT EXISTS idx_gitlab_webhooks_event_type ON gitlab_webhooks(event_type);
CREATE INDEX IF NOT EXISTS idx_bitbucket_webhooks_repository_id ON bitbucket_webhooks(repository_id);
CREATE INDEX IF NOT EXISTS idx_bitbucket_webhooks_created_at ON bitbucket_webhooks(created_at);
CREATE INDEX IF NOT EXISTS idx_bitbucket_webhooks_event_type ON bitbucket_webhooks(event_type);
CREATE INDEX IF NOT EXISTS idx_gitea_webhooks_repository_id ON gitea_webhooks(repository_id);
CREATE INDEX IF NOT EXISTS idx_gitea_webhooks_created_at ON gitea_webhooks(created_at);
CREATE INDEX IF NOT EXISTS idx_gitea_webhooks_event_type ON gitea_webhooks(event_type);

View File

@ -0,0 +1,18 @@
-- Migration 010: Remove template_id columns and related indexes
-- This migration removes template_id references from git-integration tables
-- Drop indexes that reference template_id first
DROP INDEX IF EXISTS idx_github_repos_template_id;
DROP INDEX IF EXISTS idx_github_repos_template_user;
DROP INDEX IF EXISTS idx_feature_mappings_template_user;
-- Remove template_id column from github_repositories table
ALTER TABLE IF EXISTS github_repositories
DROP COLUMN IF EXISTS template_id;
-- Remove template_id column from feature_codebase_mappings table
ALTER TABLE IF EXISTS feature_codebase_mappings
DROP COLUMN IF EXISTS template_id;
-- Note: This migration removes the template_id foreign key relationships
-- The tables will now rely on user_id for ownership tracking

View File

@ -0,0 +1,32 @@
-- Migration 011: Support multiple GitHub accounts per user
-- This allows each user to authenticate with multiple GitHub accounts
-- Add user_id column to github_user_tokens
ALTER TABLE github_user_tokens
ADD COLUMN IF NOT EXISTS user_id UUID REFERENCES users(id) ON DELETE CASCADE;
-- Create indexes for faster lookups
CREATE INDEX IF NOT EXISTS idx_github_user_tokens_user_id ON github_user_tokens(user_id);
CREATE INDEX IF NOT EXISTS idx_github_user_tokens_user_github ON github_user_tokens(user_id, github_username);
-- Remove the old unique constraint on github_username (if it exists)
-- Allow multiple tokens per user, but one token per GitHub account per user
DROP INDEX IF EXISTS idx_github_user_tokens_github_username;
-- Create new unique constraint: one token per GitHub account per user
CREATE UNIQUE INDEX IF NOT EXISTS idx_github_user_tokens_unique_user_github
ON github_user_tokens(user_id, github_username)
WHERE user_id IS NOT NULL;
-- Add a column to track if this is the primary/default GitHub account for the user
ALTER TABLE github_user_tokens
ADD COLUMN IF NOT EXISTS is_primary BOOLEAN DEFAULT FALSE;
-- Create index for primary account lookups
CREATE INDEX IF NOT EXISTS idx_github_user_tokens_primary ON github_user_tokens(user_id, is_primary);
-- Note:
-- - Each user can have multiple GitHub accounts
-- - Each GitHub account can only be linked once per user
-- - One account per user can be marked as primary
-- - Repository access will be checked against all user's GitHub accounts

View File

@ -0,0 +1,10 @@
-- Migration 012: Track which user attached/downloaded a repository
-- Add user_id to github_repositories to associate records with the initiating user
ALTER TABLE github_repositories
ADD COLUMN IF NOT EXISTS user_id UUID REFERENCES users(id) ON DELETE SET NULL;
-- Helpful index for filtering user-owned repositories
CREATE INDEX IF NOT EXISTS idx_github_repositories_user_id ON github_repositories(user_id);

View File

@ -15,45 +15,45 @@ const fileStorageService = new FileStorageService();
// Attach GitHub repository to template
router.post('/attach-repository', async (req, res) => {
try {
const { template_id, repository_url, branch_name } = req.body;
const { repository_url, branch_name } = req.body;
const userId = req.headers['x-user-id'] || req.query.user_id || req.body.user_id || (req.user && (req.user.id || req.user.userId));
// Validate input
if (!template_id || !repository_url) {
if (!repository_url) {
return res.status(400).json({
success: false,
message: 'Template ID and repository URL are required'
});
}
// Check if template exists
const templateQuery = 'SELECT * FROM templates WHERE id = $1 AND is_active = true';
const templateResult = await database.query(templateQuery, [template_id]);
if (templateResult.rows.length === 0) {
return res.status(404).json({
success: false,
message: 'Template not found'
message: 'Repository URL is required'
});
}
// Parse GitHub URL
const { owner, repo, branch } = githubService.parseGitHubUrl(repository_url);
// Check repository access
const accessCheck = await githubService.checkRepositoryAccess(owner, repo);
// Check repository access with user-specific tokens
const accessCheck = await githubService.checkRepositoryAccessWithUser(owner, repo, userId);
if (!accessCheck.hasAccess) {
if (accessCheck.requiresAuth) {
// Check if we have OAuth token
const tokenRecord = await oauthService.getToken();
if (!tokenRecord) {
return res.status(401).json({
success: false,
message: 'GitHub authentication required for this repository',
requires_auth: true,
auth_url: `/api/github/auth/github`
});
}
if (accessCheck.requiresAuth || accessCheck.authError) {
// Generate an auth URL that encodes the current user and returns absolute via gateway
const state = Math.random().toString(36).substring(7);
const userIdForAuth = userId || null;
const rawAuthUrl = oauthService.getAuthUrl(state, userIdForAuth);
// Prefer returning a gateway URL so frontend doesn't need to know service ports
const gatewayBase = process.env.API_GATEWAY_PUBLIC_URL || 'http://localhost:8000';
const serviceRelative = '/api/github/auth/github';
// redirect=1 makes the endpoint issue a 302 directly to GitHub so UI doesn't land on JSON
const serviceAuthUrl = `${gatewayBase}${serviceRelative}?redirect=1&state=${encodeURIComponent(state)}${userIdForAuth ? `&user_id=${encodeURIComponent(userIdForAuth)}` : ''}`;
return res.status(401).json({
success: false,
message: accessCheck.error || 'GitHub authentication required for this repository',
requires_auth: true,
// Return both, frontend can pick the gateway URL
auth_url: serviceAuthUrl,
service_auth_url: rawAuthUrl,
auth_error: accessCheck.authError || false
});
}
return res.status(404).json({
@ -65,39 +65,66 @@ router.post('/attach-repository', async (req, res) => {
// Get repository information from GitHub
const repositoryData = await githubService.fetchRepositoryMetadata(owner, repo);
// Analyze the codebase
const codebaseAnalysis = await githubService.analyzeCodebase(owner, repo, branch || branch_name);
// Use the actual default branch from repository metadata if the requested branch doesn't exist
let actualBranch = branch || branch_name || repositoryData.default_branch || 'main';
// Validate that the requested branch exists, fallback to default if not
try {
if (branch || branch_name) {
const octokit = await githubService.getAuthenticatedOctokit();
await octokit.git.getRef({
owner,
repo,
ref: `heads/${actualBranch}`
});
}
} catch (error) {
if (error.status === 404) {
console.warn(`Branch ${actualBranch} not found, using default branch: ${repositoryData.default_branch}`);
actualBranch = repositoryData.default_branch || 'main';
} else {
throw error;
}
}
// Store everything in PostgreSQL
// Analyze the codebase
const codebaseAnalysis = await githubService.analyzeCodebase(owner, repo, actualBranch);
// Store everything in PostgreSQL (without template_id)
const insertQuery = `
INSERT INTO github_repositories (
template_id, repository_url, repository_name, owner_name,
repository_url, repository_name, owner_name,
branch_name, is_public, metadata, codebase_analysis, sync_status,
requires_auth
requires_auth, user_id
) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10)
RETURNING *
`;
const insertValues = [
template_id,
repository_url,
repo,
owner,
branch || branch_name || 'main',
actualBranch,
repositoryData.visibility === 'public',
JSON.stringify(repositoryData),
JSON.stringify(codebaseAnalysis),
'synced',
accessCheck.requiresAuth
accessCheck.requiresAuth,
userId || null
];
const insertResult = await database.query(insertQuery, insertValues);
const repositoryRecord = insertResult.rows[0];
// Download repository with file storage
console.log('Downloading repository with storage...');
const downloadResult = await githubService.downloadRepositoryWithStorage(
owner, repo, branch || branch_name || 'main', repositoryRecord.id
// Attempt to auto-create webhook on the attached repository using OAuth token
const publicBaseUrl = process.env.PUBLIC_BASE_URL || null; // e.g., your ngrok URL https://xxx.ngrok-free.app
const callbackUrl = publicBaseUrl ? `${publicBaseUrl}/api/github/webhook` : null;
const webhookResult = await githubService.ensureRepositoryWebhook(owner, repo, callbackUrl);
// Sync with fallback: try git first, then API
console.log('Syncing repository (git first, API fallback)...');
const downloadResult = await githubService.syncRepositoryWithFallback(
owner, repo, actualBranch, repositoryRecord.id
);
if (!downloadResult.success) {
@ -105,33 +132,6 @@ router.post('/attach-repository', async (req, res) => {
console.warn('Repository download failed:', downloadResult.error);
}
// Create feature-codebase mappings
const featureQuery = 'SELECT id FROM template_features WHERE template_id = $1';
const featureResult = await database.query(featureQuery, [template_id]);
if (featureResult.rows.length > 0) {
const mappingValues = [];
const mappingParams = [];
let paramIndex = 1;
for (const feature of featureResult.rows) {
mappingValues.push(`(uuid_generate_v4(), $${paramIndex++}, $${paramIndex++}, $${paramIndex++}, $${paramIndex++})`);
mappingParams.push(
feature.id,
repositoryRecord.id,
'[]', // Empty paths for now
'{}' // Empty snippets for now
);
}
const mappingQuery = `
INSERT INTO feature_codebase_mappings (id, feature_id, repository_id, code_paths, code_snippets)
VALUES ${mappingValues.join(', ')}
`;
await database.query(mappingQuery, mappingParams);
}
// Get storage information
const storageInfo = await githubService.getRepositoryStorage(repositoryRecord.id);
@ -140,7 +140,6 @@ router.post('/attach-repository', async (req, res) => {
message: 'Repository attached successfully',
data: {
repository_id: repositoryRecord.id,
template_id: repositoryRecord.template_id,
repository_name: repositoryRecord.repository_name,
owner_name: repositoryRecord.owner_name,
branch_name: repositoryRecord.branch_name,
@ -161,6 +160,55 @@ router.post('/attach-repository', async (req, res) => {
});
}
});
// Get repository diff between two SHAs (unified patch)
router.get('/repository/:id/diff', async (req, res) => {
try {
const { id } = req.params;
const { from, to, path: dirPath } = req.query;
const repoQuery = 'SELECT * FROM github_repositories WHERE id = $1';
const repoResult = await database.query(repoQuery, [id]);
if (repoResult.rows.length === 0) {
return res.status(404).json({ success: false, message: 'Repository not found' });
}
const record = repoResult.rows[0];
const { owner, repo } = githubService.parseGitHubUrl(record.repository_url);
// Always use stored branch_name to avoid mismatches like master/main
const targetBranch = record.branch_name || 'main';
const patch = await githubService.getRepositoryDiff(owner, repo, targetBranch, from || record.last_synced_commit_sha, to || 'HEAD');
res.json({ success: true, data: { patch, from: from || record.last_synced_commit_sha, to: to || 'HEAD' } });
} catch (error) {
console.error('Error getting diff:', error);
res.status(500).json({ success: false, message: error.message || 'Failed to get diff' });
}
});
// Get list of changed files since a SHA
router.get('/repository/:id/changes', async (req, res) => {
try {
const { id } = req.params;
const { since } = req.query;
const repoQuery = 'SELECT * FROM github_repositories WHERE id = $1';
const repoResult = await database.query(repoQuery, [id]);
if (repoResult.rows.length === 0) {
return res.status(404).json({ success: false, message: 'Repository not found' });
}
const record = repoResult.rows[0];
const { owner, repo, branch } = githubService.parseGitHubUrl(record.repository_url);
const sinceSha = since || record.last_synced_commit_sha;
if (!sinceSha) {
return res.status(400).json({ success: false, message: 'since SHA is required or must be available as last_synced_commit_sha' });
}
const changes = await githubService.getRepositoryChangesSince(owner, repo, branch || record.branch_name, sinceSha);
res.json({ success: true, data: { since: sinceSha, changes } });
} catch (error) {
console.error('Error getting changes:', error);
res.status(500).json({ success: false, message: error.message || 'Failed to get changes' });
}
});
// Get repository information for a template
router.get('/template/:id/repository', async (req, res) => {
@ -481,8 +529,8 @@ router.post('/repository/:id/sync', async (req, res) => {
// Clean up existing storage
await githubService.cleanupRepositoryStorage(id);
// Re-download with storage
const downloadResult = await githubService.downloadRepositoryWithStorage(
// Re-sync with fallback (git first, API fallback)
const downloadResult = await githubService.syncRepositoryWithFallback(
owner, repo, branch || repository.branch_name, id
);
@ -558,4 +606,4 @@ router.delete('/repository/:id', async (req, res) => {
}
});
module.exports = router;
module.exports = router;

View File

@ -5,11 +5,31 @@ const GitHubOAuthService = require('../services/github-oauth');
const oauthService = new GitHubOAuthService();
// Initiate GitHub OAuth flow
// Initiate GitHub OAuth flow (supports optional user_id). If redirect=1, do 302 to GitHub.
router.get('/auth/github', async (req, res) => {
try {
const state = Math.random().toString(36).substring(7);
const authUrl = oauthService.getAuthUrl(state);
const userId =
req.query.user_id ||
(req.body && req.body.user_id) ||
req.headers['x-user-id'] ||
(req.cookies && (req.cookies.user_id || req.cookies.uid)) ||
(req.session && req.session.user && (req.session.user.id || req.session.user.userId)) ||
(req.user && (req.user.id || req.user.userId));
if (!userId) {
return res.status(400).json({
success: false,
message: 'user_id is required to initiate GitHub authentication'
});
}
console.log('[GitHub OAuth] /auth/github resolved user_id =', userId || null);
const authUrl = oauthService.getAuthUrl(state, userId || null);
const shouldRedirect = ['1', 'true', 'yes'].includes(String(req.query.redirect || '').toLowerCase());
if (shouldRedirect) {
return res.redirect(302, authUrl);
}
res.json({
success: true,
@ -32,6 +52,24 @@ router.get('/auth/github', async (req, res) => {
router.get('/auth/github/callback', async (req, res) => {
try {
const { code, state } = req.query;
// user_id may arrive as query param or embedded in the state
let user_id =
req.query.user_id ||
(req.body && req.body.user_id) ||
req.headers['x-user-id'] ||
(req.cookies && (req.cookies.user_id || req.cookies.uid)) ||
(req.session && req.session.user && (req.session.user.id || req.session.user.userId)) ||
(req.user && (req.user.id || req.user.userId));
if (!user_id && typeof state === 'string' && state.includes('|uid=')) {
try { user_id = state.split('|uid=')[1]; } catch {}
}
if (!user_id) {
return res.status(400).json({
success: false,
message: 'user_id is required to complete GitHub authentication'
});
}
if (!code) {
return res.status(400).json({
@ -46,8 +84,9 @@ router.get('/auth/github/callback', async (req, res) => {
// Get user info from GitHub
const githubUser = await oauthService.getUserInfo(accessToken);
// Store token
const tokenRecord = await oauthService.storeToken(accessToken, githubUser);
// Store token with user context (if provided)
console.log('[GitHub OAuth] callback about to store token for user_id =', user_id || null);
const tokenRecord = await oauthService.storeToken(accessToken, githubUser, user_id || null);
// Redirect back to frontend if configured
const frontendUrl = process.env.FRONTEND_URL || 'http://localhost:3000';
@ -79,27 +118,12 @@ router.get('/auth/github/callback', async (req, res) => {
// Get GitHub connection status
router.get('/auth/github/status', async (req, res) => {
try {
const tokenRecord = await oauthService.getToken();
const authStatus = await oauthService.getAuthStatus();
if (tokenRecord) {
res.json({
success: true,
data: {
connected: true,
github_username: tokenRecord.github_username,
github_user_id: tokenRecord.github_user_id,
connected_at: tokenRecord.created_at,
scopes: tokenRecord.scopes
}
});
} else {
res.json({
success: true,
data: {
connected: false
}
});
}
res.json({
success: true,
data: authStatus
});
} catch (error) {
console.error('Error checking GitHub status:', error);

View File

@ -0,0 +1,511 @@
// routes/vcs.routes.js
const express = require('express');
const router = express.Router({ mergeParams: true });
const providerRegistry = require('../services/provider-registry');
const database = require('../config/database');
const FileStorageService = require('../services/file-storage.service');
const fileStorageService = new FileStorageService();
const GitLabOAuthService = require('../services/gitlab-oauth');
const BitbucketOAuthService = require('../services/bitbucket-oauth');
const GiteaOAuthService = require('../services/gitea-oauth');
const VcsWebhookService = require('../services/vcs-webhook.service');
const vcsWebhookService = new VcsWebhookService();
function getProvider(req) {
const providerKey = (req.params.provider || '').toLowerCase();
return providerRegistry.resolve(providerKey);
}
function getOAuthService(providerKey) {
if (providerKey === 'gitlab') return new GitLabOAuthService();
if (providerKey === 'bitbucket') return new BitbucketOAuthService();
if (providerKey === 'gitea') return new GiteaOAuthService();
return null;
}
function extractEventType(providerKey, payload) {
switch (providerKey) {
case 'gitlab':
return payload.object_kind || (payload.ref ? 'push' : 'unknown');
case 'bitbucket':
return (payload.push && 'push') || (payload.pullrequest && 'pull_request') || 'unknown';
case 'gitea':
return payload.action || (payload.ref ? 'push' : 'unknown');
default:
return 'unknown';
}
}
// Attach repository (provider-agnostic)
router.post('/:provider/attach-repository', async (req, res) => {
try {
const provider = getProvider(req);
const { template_id, repository_url, branch_name } = req.body;
const userId = req.headers['x-user-id'] || req.query.user_id || req.body.user_id || (req.user && (req.user.id || req.user.userId));
if (!template_id || !repository_url) {
return res.status(400).json({ success: false, message: 'Template ID and repository URL are required' });
}
const templateResult = await database.query('SELECT * FROM templates WHERE id = $1 AND is_active = true', [template_id]);
if (templateResult.rows.length === 0) {
return res.status(404).json({ success: false, message: 'Template not found' });
}
const { owner, repo, branch } = provider.parseRepoUrl(repository_url);
const accessCheck = await provider.checkRepositoryAccess(owner, repo);
if (!accessCheck.hasAccess) {
if (accessCheck.requiresAuth) {
// Check if we have OAuth token for this provider
const providerKey = (req.params.provider || '').toLowerCase();
const oauthService = getOAuthService(providerKey);
if (oauthService) {
const tokenRecord = await oauthService.getToken();
if (!tokenRecord) {
return res.status(401).json({
success: false,
message: `${providerKey.charAt(0).toUpperCase() + providerKey.slice(1)} authentication required for this repository`,
requires_auth: true,
auth_url: `/api/vcs/${providerKey}/auth/start`
});
}
}
}
return res.status(404).json({ success: false, message: accessCheck.error || 'Repository not accessible' });
}
const repositoryData = await provider.fetchRepositoryMetadata(owner, repo);
let actualBranch = branch || branch_name || repositoryData.default_branch || 'main';
try {
// No-op for non-GitHub providers if not supported; adapters can throw if needed
} catch (_) {}
// Preliminary analysis (may be refined after full sync)
let codebaseAnalysis = await provider.analyzeCodebase(owner, repo, actualBranch);
// For backward-compatibility, insert into github_repositories for now
const insertQuery = `
INSERT INTO github_repositories (
template_id, repository_url, repository_name, owner_name,
branch_name, is_public, metadata, codebase_analysis, sync_status,
requires_auth, user_id
) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11)
RETURNING *
`;
const insertValues = [
template_id,
repository_url,
repo,
owner,
actualBranch,
repositoryData.visibility === 'public',
JSON.stringify(repositoryData),
JSON.stringify(codebaseAnalysis),
'synced',
accessCheck.requiresAuth,
userId || null
];
const insertResult = await database.query(insertQuery, insertValues);
const repositoryRecord = insertResult.rows[0];
const publicBaseUrl = process.env.PUBLIC_BASE_URL || null;
const callbackUrl = publicBaseUrl ? `${publicBaseUrl}/api/vcs/${req.params.provider}/webhook` : null;
try { await provider.ensureRepositoryWebhook(owner, repo, callbackUrl); } catch (_) {}
const downloadResult = await provider.syncRepositoryWithFallback(owner, repo, actualBranch, repositoryRecord.id);
// Recompute analysis from indexed storage for accurate counts
try {
const aggQuery = `
SELECT
COALESCE(SUM(rf.file_size_bytes), 0) AS total_size,
COALESCE(COUNT(rf.id), 0) AS total_files,
COALESCE((SELECT COUNT(1) FROM repository_directories rd WHERE rd.storage_id = rs.id), 0) AS total_directories
FROM repository_storage rs
LEFT JOIN repository_files rf ON rs.id = rf.storage_id
WHERE rs.repository_id = $1
GROUP BY rs.id
LIMIT 1
`;
const aggRes = await database.query(aggQuery, [repositoryRecord.id]);
if (aggRes.rows.length > 0) {
const agg = aggRes.rows[0];
codebaseAnalysis = {
total_files: Number(agg.total_files) || 0,
total_size: Number(agg.total_size) || 0,
directories: [],
branch: actualBranch
};
// Persist refined analysis
await database.query('UPDATE github_repositories SET codebase_analysis = $1, updated_at = NOW() WHERE id = $2', [JSON.stringify(codebaseAnalysis), repositoryRecord.id]);
}
} catch (_) {}
// Create empty feature mappings like existing flow
const featureResult = await database.query('SELECT id FROM template_features WHERE template_id = $1', [template_id]);
if (featureResult.rows.length > 0) {
const mappingValues = [];
const params = [];
let i = 1;
for (const feature of featureResult.rows) {
mappingValues.push(`(uuid_generate_v4(), $${i++}, $${i++}, $${i++}, $${i++})`);
params.push(feature.id, repositoryRecord.id, '[]', '{}');
}
await database.query(
`INSERT INTO feature_codebase_mappings (id, feature_id, repository_id, code_paths, code_snippets) VALUES ${mappingValues.join(', ')}`,
params
);
}
const storageInfo = await (async () => {
const q = `
SELECT rs.*, COUNT(DISTINCT rd.id) AS directories_count, COUNT(rf.id) AS files_count
FROM repository_storage rs
LEFT JOIN repository_directories rd ON rs.id = rd.storage_id
LEFT JOIN repository_files rf ON rs.id = rf.storage_id
WHERE rs.repository_id = $1
GROUP BY rs.id
`;
const r = await database.query(q, [repositoryRecord.id]);
return r.rows[0] || null;
})();
res.status(201).json({
success: true,
message: 'Repository attached successfully',
data: {
repository_id: repositoryRecord.id,
template_id: repositoryRecord.template_id,
repository_name: repositoryRecord.repository_name,
owner_name: repositoryRecord.owner_name,
branch_name: repositoryRecord.branch_name,
is_public: repositoryRecord.is_public,
requires_auth: repositoryRecord.requires_auth,
metadata: repositoryData,
codebase_analysis: codebaseAnalysis,
storage_info: storageInfo,
download_result: downloadResult
}
});
} catch (error) {
console.error('Error attaching repository (vcs):', error);
res.status(500).json({ success: false, message: error.message || 'Failed to attach repository' });
}
});
// Generic webhook endpoint with provider-specific verification and push handling
router.post('/:provider/webhook', async (req, res) => {
try {
const providerKey = (req.params.provider || '').toLowerCase();
const payload = req.body || {};
if (providerKey === 'github') {
return res.status(400).json({ success: false, message: 'Use /api/github/webhook for GitHub' });
}
// Signature verification
const rawBody = JSON.stringify(payload);
const verifySignature = () => {
try {
if (providerKey === 'gitlab') {
const token = req.headers['x-gitlab-token'];
const secret = process.env.GITLAB_WEBHOOK_SECRET;
if (!secret) return true; // if not set, skip
return token && token === secret;
}
if (providerKey === 'gitea') {
const crypto = require('crypto');
const provided = req.headers['x-gitea-signature'];
const secret = process.env.GITEA_WEBHOOK_SECRET;
if (!secret) return true;
if (!provided) return false;
const expected = crypto.createHmac('sha256', secret).update(rawBody).digest('hex');
return crypto.timingSafeEqual(Buffer.from(expected, 'hex'), Buffer.from(provided, 'hex'));
}
if (providerKey === 'bitbucket') {
// Bitbucket Cloud webhooks typically have no shared secret by default
return true;
}
return false;
} catch (_) {
return false;
}
};
if (!verifySignature()) {
return res.status(401).json({ success: false, message: 'Invalid webhook signature' });
}
// Process webhook event using comprehensive service
const eventType = extractEventType(providerKey, payload);
await vcsWebhookService.processWebhookEvent(providerKey, eventType, payload);
return res.status(200).json({ success: true, message: 'Webhook processed', provider: providerKey, event_type: eventType });
} catch (error) {
console.error('Error in VCS webhook:', error);
res.status(500).json({ success: false, message: 'Failed to process webhook' });
}
});
module.exports = router;
// Additional provider-agnostic routes mirroring GitHub endpoints
// Get repository diff between two SHAs (unified patch)
router.get('/:provider/repository/:id/diff', async (req, res) => {
try {
const provider = getProvider(req);
const { id } = req.params;
const { from, to } = req.query;
const repoQuery = 'SELECT * FROM github_repositories WHERE id = $1';
const repoResult = await database.query(repoQuery, [id]);
if (repoResult.rows.length === 0) {
return res.status(404).json({ success: false, message: 'Repository not found' });
}
const record = repoResult.rows[0];
const { owner, repo } = provider.parseRepoUrl(record.repository_url);
// Use stored branch_name to avoid master/main mismatch
const targetBranch = record.branch_name || 'main';
const patch = await provider.getRepositoryDiff(owner, repo, targetBranch, from || record.last_synced_commit_sha, to || 'HEAD');
res.json({ success: true, data: { patch, from: from || record.last_synced_commit_sha, to: to || 'HEAD' } });
} catch (error) {
console.error('Error getting diff (vcs):', error);
res.status(500).json({ success: false, message: error.message || 'Failed to get diff' });
}
});
// Get list of changed files since a SHA
router.get('/:provider/repository/:id/changes', async (req, res) => {
try {
const provider = getProvider(req);
const { id } = req.params;
const { since } = req.query;
const repoQuery = 'SELECT * FROM github_repositories WHERE id = $1';
const repoResult = await database.query(repoQuery, [id]);
if (repoResult.rows.length === 0) {
return res.status(404).json({ success: false, message: 'Repository not found' });
}
const record = repoResult.rows[0];
const { owner, repo } = provider.parseRepoUrl(record.repository_url);
const sinceSha = since || record.last_synced_commit_sha;
if (!sinceSha) {
return res.status(400).json({ success: false, message: 'since SHA is required or must be available as last_synced_commit_sha' });
}
const changes = await provider.getRepositoryChangesSince(owner, repo, record.branch_name, sinceSha);
res.json({ success: true, data: { since: sinceSha, changes } });
} catch (error) {
console.error('Error getting changes (vcs):', error);
res.status(500).json({ success: false, message: error.message || 'Failed to get changes' });
}
});
// Get repository information for a template (latest)
router.get('/:provider/template/:id/repository', async (req, res) => {
try {
const { id } = req.params;
const query = `
SELECT gr.*, rs.local_path, rs.storage_status, rs.total_files_count,
rs.total_directories_count, rs.total_size_bytes, rs.download_completed_at
FROM github_repositories gr
LEFT JOIN repository_storage rs ON gr.id = rs.repository_id
WHERE gr.template_id = $1
ORDER BY gr.created_at DESC
LIMIT 1
`;
const result = await database.query(query, [id]);
if (result.rows.length === 0) {
return res.status(404).json({ success: false, message: 'No repository found for this template' });
}
const repository = result.rows[0];
const parseMaybe = (v) => {
if (v == null) return {};
if (typeof v === 'string') { try { return JSON.parse(v); } catch { return {}; } }
return v;
};
res.json({ success: true, data: { ...repository, metadata: parseMaybe(repository.metadata), codebase_analysis: parseMaybe(repository.codebase_analysis) } });
} catch (error) {
console.error('Error fetching repository (vcs):', error);
res.status(500).json({ success: false, message: error.message || 'Failed to fetch repository' });
}
});
// Get repository file structure
router.get('/:provider/repository/:id/structure', async (req, res) => {
try {
const { id } = req.params;
const { path: directoryPath } = req.query;
const repoQuery = 'SELECT * FROM github_repositories WHERE id = $1';
const repoResult = await database.query(repoQuery, [id]);
if (repoResult.rows.length === 0) {
return res.status(404).json({ success: false, message: 'Repository not found' });
}
const structure = await fileStorageService.getRepositoryStructure(id, directoryPath);
res.json({ success: true, data: { repository_id: id, directory_path: directoryPath || '', structure } });
} catch (error) {
console.error('Error fetching repository structure (vcs):', error);
res.status(500).json({ success: false, message: error.message || 'Failed to fetch repository structure' });
}
});
// Get files in a directory
router.get('/:provider/repository/:id/files', async (req, res) => {
try {
const { id } = req.params;
const { directory_path = '' } = req.query;
const repoQuery = 'SELECT * FROM github_repositories WHERE id = $1';
const repoResult = await database.query(repoQuery, [id]);
if (repoResult.rows.length === 0) {
return res.status(404).json({ success: false, message: 'Repository not found' });
}
const files = await fileStorageService.getDirectoryFiles(id, directory_path);
res.json({ success: true, data: { repository_id: id, directory_path, files } });
} catch (error) {
console.error('Error fetching directory files (vcs):', error);
res.status(500).json({ success: false, message: error.message || 'Failed to fetch directory files' });
}
});
// Get file content
router.get('/:provider/repository/:id/file-content', async (req, res) => {
try {
const { id } = req.params;
const { file_path } = req.query;
if (!file_path) {
return res.status(400).json({ success: false, message: 'File path is required' });
}
const query = `
SELECT rf.*, rfc.content_text, rfc.content_preview, rfc.language_detected,
rfc.line_count, rfc.char_count
FROM repository_files rf
LEFT JOIN repository_file_contents rfc ON rf.id = rfc.file_id
WHERE rf.repository_id = $1 AND rf.relative_path = $2
`;
const result = await database.query(query, [id, file_path]);
if (result.rows.length === 0) {
return res.status(404).json({ success: false, message: 'File not found' });
}
const file = result.rows[0];
res.json({ success: true, data: { file_info: { id: file.id, filename: file.filename, file_extension: file.file_extension, relative_path: file.relative_path, file_size_bytes: file.file_size_bytes, mime_type: file.mime_type, is_binary: file.is_binary, language_detected: file.language_detected, line_count: file.line_count, char_count: file.char_count }, content: file.is_binary ? null : file.content_text, preview: file.content_preview } });
} catch (error) {
console.error('Error fetching file content (vcs):', error);
res.status(500).json({ success: false, message: error.message || 'Failed to fetch file content' });
}
});
// List all repositories for a template
router.get('/:provider/template/:id/repositories', async (req, res) => {
try {
const { id } = req.params;
const query = `
SELECT gr.*, rs.local_path, rs.storage_status, rs.total_files_count,
rs.total_directories_count, rs.total_size_bytes, rs.download_completed_at
FROM github_repositories gr
LEFT JOIN repository_storage rs ON gr.id = rs.repository_id
WHERE gr.template_id = $1
ORDER BY gr.created_at DESC
`;
const result = await database.query(query, [id]);
const repositories = result.rows.map(repo => ({ ...repo, metadata: JSON.parse(repo.metadata || '{}'), codebase_analysis: JSON.parse(repo.codebase_analysis || '{}') }));
res.json({ success: true, data: repositories });
} catch (error) {
console.error('Error fetching repositories (vcs):', error);
res.status(500).json({ success: false, message: error.message || 'Failed to fetch repositories' });
}
});
// Re-sync repository (git-based)
router.post('/:provider/repository/:id/sync', async (req, res) => {
try {
const provider = getProvider(req);
const { id } = req.params;
const repoQuery = 'SELECT * FROM github_repositories WHERE id = $1';
const repoResult = await database.query(repoQuery, [id]);
if (repoResult.rows.length === 0) {
return res.status(404).json({ success: false, message: 'Repository not found' });
}
const repository = repoResult.rows[0];
const { owner, repo, branch } = provider.parseRepoUrl(repository.repository_url);
await provider.cleanupRepositoryStorage(id);
const downloadResult = await provider.syncRepositoryWithFallback(owner, repo, branch || repository.branch_name, id);
await database.query('UPDATE github_repositories SET sync_status = $1, updated_at = NOW() WHERE id = $2', [downloadResult.success ? 'synced' : 'error', id]);
res.json({ success: downloadResult.success, message: downloadResult.success ? 'Repository synced successfully' : 'Failed to sync repository', data: downloadResult });
} catch (error) {
console.error('Error syncing repository (vcs):', error);
res.status(500).json({ success: false, message: error.message || 'Failed to sync repository' });
}
});
// Remove repository
router.delete('/:provider/repository/:id', async (req, res) => {
try {
const { id } = req.params;
const getResult = await database.query('SELECT * FROM github_repositories WHERE id = $1', [id]);
if (getResult.rows.length === 0) {
return res.status(404).json({ success: false, message: 'Repository not found' });
}
const repository = getResult.rows[0];
await fileStorageService.cleanupRepositoryStorage(id);
await database.query('DELETE FROM feature_codebase_mappings WHERE repository_id = $1', [id]);
await database.query('DELETE FROM github_repositories WHERE id = $1', [id]);
res.json({ success: true, message: 'Repository removed successfully', data: { removed_repository: repository.repository_name, template_id: repository.template_id } });
} catch (error) {
console.error('Error removing repository (vcs):', error);
res.status(500).json({ success: false, message: error.message || 'Failed to remove repository' });
}
});
// OAuth placeholders (start/callback) per provider for future implementation
router.get('/:provider/auth/start', (req, res) => {
try {
const providerKey = (req.params.provider || '').toLowerCase();
const oauth = getOAuthService(providerKey);
if (!oauth) return res.status(400).json({ success: false, message: 'Unsupported provider or OAuth not available' });
const state = req.query.state || Math.random().toString(36).slice(2);
const url = oauth.getAuthUrl(state);
res.json({ success: true, auth_url: url, provider: providerKey, state });
} catch (e) {
res.status(500).json({ success: false, message: e.message || 'Failed to start OAuth' });
}
});
router.get('/:provider/auth/callback', (req, res) => {
(async () => {
try {
const providerKey = (req.params.provider || '').toLowerCase();
const code = req.query.code;
const error = req.query.error;
const errorDescription = req.query.error_description;
const oauth = getOAuthService(providerKey);
if (!oauth) return res.status(400).json({ success: false, message: 'Unsupported provider or OAuth not available' });
if (!code) {
// Surface upstream provider error details if present
if (error || errorDescription) {
return res.status(400).json({ success: false, message: 'OAuth error from provider', provider: providerKey, error: error || 'unknown_error', error_description: errorDescription || null, query: req.query });
}
return res.status(400).json({ success: false, message: 'Missing code' });
}
const accessToken = await oauth.exchangeCodeForToken(code);
const user = await oauth.getUserInfo(accessToken);
const userId =
req.query.user_id ||
(req.body && req.body.user_id) ||
req.headers['x-user-id'] ||
(req.cookies && (req.cookies.user_id || req.cookies.uid)) ||
(req.session && req.session.user && (req.session.user.id || req.session.user.userId)) ||
(req.user && (req.user.id || req.user.userId));
if (providerKey === 'github' && !userId) {
return res.status(400).json({ success: false, message: 'user_id is required to complete GitHub authentication' });
}
console.log('[VCS OAuth] callback provider=%s resolved user_id = %s', providerKey, userId || null);
const tokenRecord = await oauth.storeToken(accessToken, user, userId || null);
res.json({ success: true, provider: providerKey, user, token: { id: tokenRecord.id || null } });
} catch (e) {
res.status(500).json({ success: false, message: e.message || 'OAuth callback failed' });
}
})();
});

View File

@ -0,0 +1,114 @@
// routes/webhook.routes.js
const express = require('express');
const router = express.Router();
const WebhookService = require('../services/webhook.service');
const webhookService = new WebhookService();
// GitHub webhook endpoint
router.post('/webhook', async (req, res) => {
try {
const signature = req.headers['x-hub-signature-256'];
const eventType = req.headers['x-github-event'];
const deliveryId = req.headers['x-github-delivery'];
const userAgent = req.headers['user-agent'];
console.log('🔔 GitHub webhook received:');
console.log(`- Event Type: ${eventType}`);
console.log(`- Delivery ID: ${deliveryId}`);
console.log(`- User Agent: ${userAgent}`);
console.log(`- Signature: ${signature ? 'Present' : 'Missing'}`);
console.log(`- Payload Size: ${JSON.stringify(req.body).length} bytes`);
console.log(`- Timestamp: ${new Date().toISOString()}`);
// Verify webhook signature if secret is configured
if (process.env.GITHUB_WEBHOOK_SECRET) {
const rawBody = JSON.stringify(req.body);
const isValidSignature = webhookService.verifySignature(rawBody, signature);
if (!isValidSignature) {
console.warn('Invalid webhook signature - potential security issue');
return res.status(401).json({
success: false,
message: 'Invalid webhook signature'
});
}
} else {
console.warn('GitHub webhook secret not configured - skipping signature verification');
}
// Attach delivery_id into payload for downstream persistence convenience
const payloadWithDelivery = { ...req.body, delivery_id: deliveryId };
// Process the webhook event
if (eventType) {
await webhookService.processWebhookEvent(eventType, payloadWithDelivery);
}
// Log the webhook event
await webhookService.logWebhookEvent(
eventType || 'unknown',
req.body.action || 'unknown',
req.body.repository?.full_name || 'unknown',
{
delivery_id: deliveryId,
event_type: eventType,
action: req.body.action,
repository: req.body.repository?.full_name,
sender: req.body.sender?.login
},
deliveryId,
payloadWithDelivery
);
res.status(200).json({
success: true,
message: 'Webhook processed successfully',
event_type: eventType,
delivery_id: deliveryId
});
} catch (error) {
console.error('Error processing webhook:', error);
res.status(500).json({
success: false,
message: 'Failed to process webhook',
error: process.env.NODE_ENV === 'development' ? error.message : 'Internal server error'
});
}
});
// Get recent webhook events (for debugging)
router.get('/webhook/events', async (req, res) => {
try {
const limit = parseInt(req.query.limit) || 50;
const events = await webhookService.getRecentWebhookEvents(limit);
res.json({
success: true,
data: {
events,
total: events.length,
limit
}
});
} catch (error) {
console.error('Error fetching webhook events:', error);
res.status(500).json({
success: false,
message: 'Failed to fetch webhook events'
});
}
});
// Webhook health check
router.get('/webhook/health', (req, res) => {
res.json({
success: true,
message: 'Webhook service is healthy',
timestamp: new Date().toISOString(),
webhook_secret_configured: !!process.env.GITHUB_WEBHOOK_SECRET
});
});
module.exports = router;

View File

@ -0,0 +1,64 @@
// services/bitbucket-oauth.js
const database = require('../config/database');
class BitbucketOAuthService {
constructor() {
this.clientId = process.env.BITBUCKET_CLIENT_ID;
this.clientSecret = process.env.BITBUCKET_CLIENT_SECRET;
this.redirectUri = process.env.BITBUCKET_REDIRECT_URI || 'http://localhost:8012/api/vcs/bitbucket/auth/callback';
}
getAuthUrl(state) {
if (!this.clientId) throw new Error('Bitbucket OAuth not configured');
const params = new URLSearchParams({
client_id: this.clientId,
response_type: 'code',
state,
// Bitbucket Cloud uses 'repository' for read access; 'repository:write' for write
scope: 'repository account',
redirect_uri: this.redirectUri
});
return `https://bitbucket.org/site/oauth2/authorize?${params.toString()}`;
}
async exchangeCodeForToken(code) {
const resp = await fetch('https://bitbucket.org/site/oauth2/access_token', {
method: 'POST',
headers: { 'Content-Type': 'application/x-www-form-urlencoded', Authorization: `Basic ${Buffer.from(`${this.clientId}:${this.clientSecret}`).toString('base64')}` },
body: new URLSearchParams({ grant_type: 'authorization_code', code, redirect_uri: this.redirectUri })
});
let data = null;
try { data = await resp.json(); } catch (_) { data = null; }
if (!resp.ok) {
const detail = data?.error_description || data?.error || (await resp.text().catch(() => '')) || 'unknown_error';
throw new Error(`Bitbucket token exchange failed: ${detail}`);
}
return data.access_token;
}
async getUserInfo(accessToken) {
const resp = await fetch('https://api.bitbucket.org/2.0/user', { headers: { Authorization: `Bearer ${accessToken}` } });
if (!resp.ok) throw new Error('Failed to fetch Bitbucket user');
return await resp.json();
}
async storeToken(accessToken, user) {
const result = await database.query(
`INSERT INTO bitbucket_user_tokens (access_token, bitbucket_username, bitbucket_user_id, scopes, expires_at)
VALUES ($1, $2, $3, $4, $5)
ON CONFLICT (id) DO UPDATE SET access_token = EXCLUDED.access_token, bitbucket_username = EXCLUDED.bitbucket_username, bitbucket_user_id = EXCLUDED.bitbucket_user_id, scopes = EXCLUDED.scopes, expires_at = EXCLUDED.expires_at, updated_at = NOW()
RETURNING *`,
[accessToken, user.username || user.display_name, user.uuid || null, JSON.stringify(['repository:read','account']), null]
);
return result.rows[0];
}
async getToken() {
const r = await database.query('SELECT * FROM bitbucket_user_tokens ORDER BY created_at DESC LIMIT 1');
return r.rows[0];
}
}
module.exports = BitbucketOAuthService;

View File

@ -61,6 +61,16 @@ class FileStorageService {
return null;
}
// Skip any .git directory anywhere in the tree
const normalizedRel = currentPath.replace(/\\/g, '/');
if (
normalizedRel === '.git' ||
normalizedRel.startsWith('.git/') ||
normalizedRel.includes('/.git/')
) {
return null;
}
// Insert directory record
const dirName = currentPath === '' ? '.' : path.basename(currentPath);
const relativePath = currentPath === '' ? '' : currentPath;
@ -91,6 +101,11 @@ class FileStorageService {
const itemRelativePath = currentPath ? path.join(currentPath, item) : item;
const itemStats = fs.statSync(itemPath);
// Skip .git directory and its contents
if (item === '.git' || itemRelativePath.replace(/\\/g, '/').includes('/.git/')) {
continue;
}
if (itemStats.isDirectory()) {
// Recursively process subdirectory
const subDir = await this.processDirectoryStructure(

View File

@ -0,0 +1,143 @@
// services/git-repo.service.js
const fs = require('fs');
const path = require('path');
const { exec, execFile } = require('child_process');
class GitRepoService {
constructor() {
this.baseDir = process.env.ATTACHED_REPOS_DIR || '/tmp/attached-repos';
}
getLocalRepoPath(owner, repo, branch) {
return path.join(this.baseDir, `${owner}__${repo}__${branch}`);
}
async ensureDirectory(dirPath) {
if (!fs.existsSync(dirPath)) {
fs.mkdirSync(dirPath, { recursive: true });
}
}
runGitCommand(cwd, command) {
return new Promise((resolve, reject) => {
try {
if (!fs.existsSync(cwd)) {
return reject(new Error(`Working directory not found: ${cwd}`));
}
} catch (_) {
return reject(new Error(`Invalid working directory: ${cwd}`));
}
// Make git non-interactive to avoid terminal credential prompts
const env = { ...process.env, GIT_TERMINAL_PROMPT: '0' };
exec(command, { cwd, maxBuffer: 1024 * 1024 * 64, env }, (error, stdout, stderr) => {
if (error) {
const details = [`cmd: ${command}`, `cwd: ${cwd}`, stderr ? `stderr: ${stderr}` : ''].filter(Boolean).join('\n');
return reject(new Error((stderr && stderr.trim()) || `${error.message}\n${details}`));
}
resolve(stdout.trim());
});
});
}
runGit(cwd, args) {
return new Promise((resolve, reject) => {
try {
if (!fs.existsSync(cwd)) {
return reject(new Error(`Working directory not found: ${cwd}`));
}
} catch (_) {
return reject(new Error(`Invalid working directory: ${cwd}`));
}
const env = { ...process.env, GIT_TERMINAL_PROMPT: '0' };
execFile('git', args, { cwd, maxBuffer: 1024 * 1024 * 64, env }, (error, stdout, stderr) => {
if (error) {
const details = [`git ${args.join(' ')}`, `cwd: ${cwd}`, stderr ? `stderr: ${stderr}` : ''].filter(Boolean).join('\n');
return reject(new Error((stderr && stderr.trim()) || `${error.message}\n${details}`));
}
resolve(stdout.trim());
});
});
}
async cloneIfMissing(owner, repo, branch) {
const repoPath = this.getLocalRepoPath(owner, repo, branch);
await this.ensureDirectory(path.dirname(repoPath));
if (!fs.existsSync(repoPath) || !fs.existsSync(path.join(repoPath, '.git'))) {
const cloneUrl = `https://github.com/${owner}/${repo}.git`;
await this.runGit(path.dirname(repoPath), ['clone', '--depth', '1', '-b', branch, cloneUrl, path.basename(repoPath)]);
}
return repoPath;
}
async cloneIfMissingWithHost(owner, repo, branch, host) {
const repoPath = this.getLocalRepoPath(owner, repo, branch);
await this.ensureDirectory(path.dirname(repoPath));
if (!fs.existsSync(repoPath) || !fs.existsSync(path.join(repoPath, '.git'))) {
const normalizedHost = (host || 'github.com').replace(/^https?:\/\//, '').replace(/\/$/, '');
const cloneUrl = `https://${normalizedHost}/${owner}/${repo}.git`;
await this.runGit(path.dirname(repoPath), ['clone', '--depth', '1', '-b', branch, cloneUrl, path.basename(repoPath)]);
}
return repoPath;
}
async getHeadSha(repoPath) {
try {
const sha = await this.runGit(repoPath, ['rev-parse', 'HEAD']);
return sha;
} catch (_) {
return null;
}
}
async fetchAndFastForward(repoPath, branch) {
const beforeSha = await this.getHeadSha(repoPath);
await this.runGit(repoPath, ['fetch', '--all', '--prune']);
await this.runGit(repoPath, ['checkout', branch]);
await this.runGit(repoPath, ['pull', '--ff-only', 'origin', branch]);
const afterSha = await this.getHeadSha(repoPath);
return { beforeSha, afterSha };
}
async cloneIfMissingWithAuth(owner, repo, branch, host, token, tokenType = 'oauth2') {
const repoPath = this.getLocalRepoPath(owner, repo, branch);
await this.ensureDirectory(path.dirname(repoPath));
if (!fs.existsSync(repoPath) || !fs.existsSync(path.join(repoPath, '.git'))) {
const normalizedHost = (host || 'github.com').replace(/^https?:\/\//, '').replace(/\/$/, '');
let cloneUrl = `https://${normalizedHost}/${owner}/${repo}.git`;
if (token) {
if (tokenType === 'oauth2') {
// Many providers accept oauth2:<token>@host
cloneUrl = `https://oauth2:${token}@${normalizedHost}/${owner}/${repo}.git`;
} else if (tokenType === 'bearer') {
// Use extraheader auth pattern
await this.runGit(path.dirname(repoPath), ['-c', `http.extraheader=Authorization: Bearer ${token}`, 'clone', '--depth', '1', '-b', branch, cloneUrl, path.basename(repoPath)]);
return repoPath;
}
}
await this.runGit(path.dirname(repoPath), ['clone', '--depth', '1', '-b', branch, cloneUrl, path.basename(repoPath)]);
}
return repoPath;
}
async getDiff(repoPath, fromSha, toSha, options = { patch: true }) {
const range = fromSha && toSha ? `${fromSha}..${toSha}` : toSha ? `${toSha}^..${toSha}` : '';
const mode = options.patch ? '--patch' : '--name-status';
const args = ['diff', mode];
if (range) args.push(range);
const output = await this.runGit(repoPath, args);
return output;
}
async getChangedFilesSince(repoPath, sinceSha) {
const output = await this.runGit(repoPath, ['diff', '--name-status', `${sinceSha}..HEAD`]);
const lines = output.split('\n').filter(Boolean);
return lines.map(line => {
const [status, filePath] = line.split(/\s+/, 2);
return { status, filePath };
});
}
}
module.exports = GitRepoService;

View File

@ -0,0 +1,77 @@
// services/gitea-oauth.js
const database = require('../config/database');
class GiteaOAuthService {
constructor() {
this.clientId = process.env.GITEA_CLIENT_ID;
this.clientSecret = process.env.GITEA_CLIENT_SECRET;
this.baseUrl = (process.env.GITEA_BASE_URL || 'https://gitea.com').replace(/\/$/, '');
this.redirectUri = process.env.GITEA_REDIRECT_URI || 'http://localhost:8012/api/vcs/gitea/auth/callback';
}
getAuthUrl(state) {
if (!this.clientId) throw new Error('Gitea OAuth not configured');
const authUrl = `${this.baseUrl}/login/oauth/authorize`;
const params = new URLSearchParams({
client_id: this.clientId,
redirect_uri: this.redirectUri,
response_type: 'code',
// Request both user and repository read scopes
scope: 'read:user read:repository',
state
});
return `${authUrl}?${params.toString()}`;
}
async exchangeCodeForToken(code) {
const tokenUrl = `${this.baseUrl}/login/oauth/access_token`;
const resp = await fetch(tokenUrl, {
method: 'POST',
headers: { 'Accept': 'application/json', 'Content-Type': 'application/x-www-form-urlencoded' },
body: new URLSearchParams({
client_id: this.clientId,
client_secret: this.clientSecret,
code,
grant_type: 'authorization_code',
redirect_uri: this.redirectUri
})
});
let data = null;
try { data = await resp.json(); } catch (_) { data = null; }
if (!resp.ok || data?.error) {
const detail = data?.error_description || data?.error || (await resp.text().catch(() => '')) || 'unknown_error';
throw new Error(`Gitea token exchange failed: ${detail}`);
}
return data.access_token;
}
async getUserInfo(accessToken) {
const resp = await fetch(`${this.baseUrl}/api/v1/user`, { headers: { Authorization: `Bearer ${accessToken}` } });
if (!resp.ok) {
let txt = '';
try { txt = await resp.text(); } catch (_) {}
throw new Error(`Failed to fetch Gitea user (status ${resp.status}): ${txt}`);
}
return await resp.json();
}
async storeToken(accessToken, user) {
const result = await database.query(
`INSERT INTO gitea_user_tokens (access_token, gitea_username, gitea_user_id, scopes, expires_at)
VALUES ($1, $2, $3, $4, $5)
ON CONFLICT (id) DO UPDATE SET access_token = EXCLUDED.access_token, gitea_username = EXCLUDED.gitea_username, gitea_user_id = EXCLUDED.gitea_user_id, scopes = EXCLUDED.scopes, expires_at = EXCLUDED.expires_at, updated_at = NOW()
RETURNING *`,
[accessToken, user.login, user.id, JSON.stringify(['read:repository']), null]
);
return result.rows[0];
}
async getToken() {
const r = await database.query('SELECT * FROM gitea_user_tokens ORDER BY created_at DESC LIMIT 1');
return r.rows[0];
}
}
module.exports = GiteaOAuthService;

View File

@ -3,13 +3,16 @@ const { Octokit } = require('@octokit/rest');
const fs = require('fs');
const path = require('path');
const { exec } = require('child_process');
const parseGitHubUrl = require('parse-github-url');
const GitHubOAuthService = require('./github-oauth');
const FileStorageService = require('./file-storage.service');
const GitRepoService = require('./git-repo.service');
class GitHubIntegrationService {
constructor() {
this.oauthService = new GitHubOAuthService();
this.fileStorageService = new FileStorageService();
this.gitRepoService = new GitRepoService();
// Default unauthenticated instance
this.octokit = new Octokit({
@ -22,19 +25,86 @@ class GitHubIntegrationService {
return await this.oauthService.getAuthenticatedOctokit();
}
// Extract owner, repo, and branch from GitHub URL
// Extract owner, repo, and branch from GitHub URL using parse-github-url library
parseGitHubUrl(url) {
const regex = /github\.com\/([^\/]+)\/([^\/]+)(?:\/tree\/([^\/]+))?/;
const match = url.match(regex);
if (!url || typeof url !== 'string') {
throw new Error('URL must be a non-empty string');
}
// Normalize the URL first
let normalizedUrl = url.trim();
if (!match) {
throw new Error('Invalid GitHub repository URL');
// Handle URLs without protocol
if (!normalizedUrl.startsWith('http://') && !normalizedUrl.startsWith('https://') && !normalizedUrl.startsWith('git@')) {
normalizedUrl = 'https://' + normalizedUrl;
}
// Handle SSH format: git@github.com:owner/repo.git
if (normalizedUrl.startsWith('git@github.com:')) {
normalizedUrl = normalizedUrl.replace('git@github.com:', 'https://github.com/');
}
// Handle git+https format: git+https://github.com/owner/repo.git
if (normalizedUrl.startsWith('git+https://') || normalizedUrl.startsWith('git+http://')) {
normalizedUrl = normalizedUrl.replace('git+', '');
}
// Validate that it's a GitHub URL before parsing
if (!normalizedUrl.includes('github.com')) {
throw new Error(`Invalid GitHub repository URL: ${url}`);
}
// Clean URL by removing query parameters and fragments for parsing
const cleanUrl = normalizedUrl.split('?')[0].split('#')[0];
// Use the parse-github-url library to parse the URL
const parsed = parseGitHubUrl(cleanUrl);
if (!parsed || !parsed.owner || !parsed.name) {
throw new Error(`Invalid GitHub repository URL: ${url}`);
}
// Additional validation: reject URLs with invalid paths
const urlWithoutQuery = normalizedUrl.split('?')[0].split('#')[0];
const pathAfterRepo = urlWithoutQuery.split(/github\.com\/[^\/]+\/[^\/]+/)[1];
if (pathAfterRepo && pathAfterRepo.length > 0) {
const validPaths = ['/tree/', '/blob/', '/commit/', '/pull/', '/issue', '/archive/', '/releases', '/actions', '/projects', '/wiki', '/settings', '/security', '/insights', '/pulse', '/graphs', '/network', '/compare'];
const hasValidPath = validPaths.some(path => pathAfterRepo.startsWith(path));
if (!hasValidPath) {
throw new Error(`Invalid GitHub repository URL: ${url}`);
}
}
// Extract branch information
let branch = parsed.branch;
// Handle special cases for branch extraction
if (branch) {
// For archive URLs, remove .zip or .tar.gz extensions
branch = branch.replace(/\.(zip|tar\.gz|tar)$/, '');
// For blob URLs, the branch might be followed by a path, take only the first part
branch = branch.split('/')[0];
// For commit/PR/issue URLs, don't treat the ID as a branch
if (normalizedUrl.includes('/commit/') || normalizedUrl.includes('/pull/') || normalizedUrl.includes('/issue')) {
branch = 'main'; // Default to main for these cases
}
}
// Validate owner and repo names (GitHub naming rules)
if (!/^[a-zA-Z0-9]([a-zA-Z0-9\-\.]*[a-zA-Z0-9])?$/.test(parsed.owner)) {
throw new Error(`Invalid GitHub owner name: ${parsed.owner}`);
}
if (!/^[a-zA-Z0-9]([a-zA-Z0-9\-\._]*[a-zA-Z0-9])?$/.test(parsed.name)) {
throw new Error(`Invalid GitHub repository name: ${parsed.name}`);
}
return {
owner: match[1],
repo: match[2].replace('.git', ''),
branch: match[3] || 'main'
owner: parsed.owner,
repo: parsed.name,
branch: branch || 'main'
};
}
@ -60,6 +130,77 @@ class GitHubIntegrationService {
error: 'Repository not found or requires authentication'
};
}
// Handle authentication errors
if (error.status === 401 || error.message.includes('token has expired') || error.message.includes('authenticate with GitHub')) {
return {
exists: null,
isPrivate: null,
hasAccess: false,
requiresAuth: true,
error: 'GitHub authentication required or token expired',
authError: true
};
}
throw error;
}
}
// Check repository access with user-specific tokens
async checkRepositoryAccessWithUser(owner, repo, userId) {
try {
// First try to find a token that can access this repository
const token = await this.oauthService.findTokenForRepository(userId, owner, repo);
if (token) {
// We found a token that can access this repository
const octokit = new Octokit({ auth: token.access_token });
const { data } = await octokit.repos.get({ owner, repo });
return {
exists: true,
isPrivate: data.private,
hasAccess: true,
requiresAuth: data.private,
github_username: token.github_username,
token_id: token.id
};
}
// No token found that can access this repository
return {
exists: null,
isPrivate: null,
hasAccess: false,
requiresAuth: true,
error: 'Repository not found or requires authentication',
authError: false
};
} catch (error) {
if (error.status === 404) {
return {
exists: false,
isPrivate: null,
hasAccess: false,
requiresAuth: true,
error: 'Repository not found or requires authentication'
};
}
// Handle authentication errors
if (error.status === 401 || error.message.includes('token has expired') || error.message.includes('authenticate with GitHub')) {
return {
exists: null,
isPrivate: null,
hasAccess: false,
requiresAuth: true,
error: 'GitHub authentication required or token expired',
authError: true
};
}
throw error;
}
}
@ -195,15 +336,253 @@ class GitHubIntegrationService {
return result.rows[0] || null;
}
// Ensure a GitHub webhook exists for the repository (uses OAuth token)
async ensureRepositoryWebhook(owner, repo, callbackUrl) {
try {
const secret = process.env.GITHUB_WEBHOOK_SECRET;
if (!callbackUrl) {
console.warn('Webhook callbackUrl not provided; skipping webhook creation');
return { created: false, reason: 'missing_callback_url' };
}
const octokit = await this.getAuthenticatedOctokit();
// List existing hooks to avoid duplicates
const { data: hooks } = await octokit.request('GET /repos/{owner}/{repo}/hooks', {
owner,
repo
});
const existing = hooks.find(h => h.config && h.config.url === callbackUrl);
if (existing) {
// Optionally ensure events include push
if (!existing.events || !existing.events.includes('push')) {
try {
await octokit.request('PATCH /repos/{owner}/{repo}/hooks/{hook_id}', {
owner,
repo,
hook_id: existing.id,
events: Array.from(new Set([...(existing.events || []), 'push']))
});
} catch (e) {
console.warn('Failed to update existing webhook events:', e.message);
}
}
return { created: false, reason: 'exists', hook_id: existing.id };
}
// Create new webhook
const createResp = await octokit.request('POST /repos/{owner}/{repo}/hooks', {
owner,
repo,
config: {
url: callbackUrl,
content_type: 'json',
secret: secret || undefined,
insecure_ssl: '0'
},
events: ['push'],
active: true
});
return { created: true, hook_id: createResp.data.id };
} catch (error) {
// Common cases: insufficient permissions, private repo without correct scope
console.warn('ensureRepositoryWebhook failed:', error.status, error.message);
return { created: false, error: error.message };
}
}
// Git-based: clone or update local repo and re-index into DB
async syncRepositoryWithGit(owner, repo, branch, repositoryId) {
const database = require('../config/database');
const localPath = this.gitRepoService.getLocalRepoPath(owner, repo, branch);
let storageRecord = null;
try {
await this.gitRepoService.ensureDirectory(path.dirname(localPath));
// Initialize storage record as downloading
storageRecord = await this.fileStorageService.initializeRepositoryStorage(
repositoryId,
localPath
);
// Clone if missing (prefer authenticated HTTPS with OAuth token), otherwise fetch & fast-forward
let repoPath = null;
try {
const tokenRecord = await this.oauthService.getToken();
if (tokenRecord?.access_token) {
repoPath = await this.gitRepoService.cloneIfMissingWithAuth(
owner,
repo,
branch,
'github.com',
tokenRecord.access_token,
'oauth2'
);
}
} catch (_) {}
if (!repoPath) {
repoPath = await this.gitRepoService.cloneIfMissing(owner, repo, branch);
}
const beforeSha = await this.gitRepoService.getHeadSha(repoPath);
const { afterSha } = await this.gitRepoService.fetchAndFastForward(repoPath, branch);
// Index filesystem into DB
await this.fileStorageService.processDirectoryStructure(
storageRecord.id,
repositoryId,
repoPath
);
const finalStorage = await this.fileStorageService.completeRepositoryStorage(storageRecord.id);
// Persist last synced commit
try {
await database.query(
'UPDATE github_repositories SET last_synced_commit_sha = $1, last_synced_at = NOW(), updated_at = NOW() WHERE id = $2',
[afterSha || beforeSha || null, repositoryId]
);
} catch (_) {}
return {
success: true,
targetDir: repoPath,
beforeSha,
afterSha: afterSha || beforeSha,
storage: finalStorage
};
} catch (error) {
if (storageRecord) {
await this.fileStorageService.markStorageFailed(storageRecord.id, error.message);
}
return { success: false, error: error.message };
}
}
// Git-based: get unified diff between two SHAs in local repo
async getRepositoryDiff(owner, repo, branch, fromSha, toSha) {
// Ensure local repo exists and is up to date; handle main/master mismatch gracefully
const preferredBranch = branch || 'main';
const alternateBranch = preferredBranch === 'main' ? 'master' : 'main';
let repoPath = this.gitRepoService.getLocalRepoPath(owner, repo, preferredBranch);
try {
// Try to ensure repo exists for the preferred branch
try {
const tokenRecord = await this.oauthService.getToken().catch(() => null);
if (tokenRecord?.access_token) {
repoPath = await this.gitRepoService.cloneIfMissingWithAuth(owner, repo, preferredBranch, 'github.com', tokenRecord.access_token, 'oauth2');
} else {
repoPath = await this.gitRepoService.cloneIfMissing(owner, repo, preferredBranch);
}
} catch (cloneErr) {
// If the branch doesn't exist (e.g., refs/heads not found), try the alternate branch
try {
const tokenRecordAlt = await this.oauthService.getToken().catch(() => null);
repoPath = tokenRecordAlt?.access_token
? await this.gitRepoService.cloneIfMissingWithAuth(owner, repo, alternateBranch, 'github.com', tokenRecordAlt.access_token, 'oauth2')
: await this.gitRepoService.cloneIfMissing(owner, repo, alternateBranch);
} catch (_) {
// Fall through; we'll try to use any existing local copy next
}
}
// If a local repo exists for alternate branch, prefer that to avoid failures
const fs = require('fs');
const altPath = this.gitRepoService.getLocalRepoPath(owner, repo, alternateBranch);
if ((!fs.existsSync(repoPath) || !fs.existsSync(require('path').join(repoPath, '.git'))) && fs.existsSync(altPath)) {
repoPath = altPath;
}
// Update and checkout target ref if possible
try {
await this.gitRepoService.fetchAndFastForward(repoPath, preferredBranch);
} catch (_) {
// If checkout fails for preferred branch, attempt alternate
try { await this.gitRepoService.fetchAndFastForward(repoPath, alternateBranch); } catch (_) {}
}
const patch = await this.gitRepoService.getDiff(repoPath, fromSha || null, toSha || 'HEAD', { patch: true });
return patch;
} catch (error) {
// Surface a clearer error including both attempted paths
const attempted = [this.gitRepoService.getLocalRepoPath(owner, repo, preferredBranch), this.gitRepoService.getLocalRepoPath(owner, repo, alternateBranch)].join(' | ');
throw new Error(`${error.message} (attempted paths: ${attempted})`);
}
}
// Git-based: list changed files since a SHA
async getRepositoryChangesSince(owner, repo, branch, sinceSha) {
const preferredBranch = branch || 'main';
const alternateBranch = preferredBranch === 'main' ? 'master' : 'main';
let repoPath = this.gitRepoService.getLocalRepoPath(owner, repo, preferredBranch);
try {
// Ensure repo exists similarly to diff flow
try {
const tokenRecord = await this.oauthService.getToken().catch(() => null);
if (tokenRecord?.access_token) {
repoPath = await this.gitRepoService.cloneIfMissingWithAuth(owner, repo, preferredBranch, 'github.com', tokenRecord.access_token, 'oauth2');
} else {
repoPath = await this.gitRepoService.cloneIfMissing(owner, repo, preferredBranch);
}
} catch (_) {
try {
const tokenRecordAlt = await this.oauthService.getToken().catch(() => null);
repoPath = tokenRecordAlt?.access_token
? await this.gitRepoService.cloneIfMissingWithAuth(owner, repo, alternateBranch, 'github.com', tokenRecordAlt.access_token, 'oauth2')
: await this.gitRepoService.cloneIfMissing(owner, repo, alternateBranch);
} catch (_) {}
}
const fs = require('fs');
const altPath = this.gitRepoService.getLocalRepoPath(owner, repo, alternateBranch);
if ((!fs.existsSync(repoPath) || !fs.existsSync(require('path').join(repoPath, '.git'))) && fs.existsSync(altPath)) {
repoPath = altPath;
}
try {
await this.gitRepoService.fetchAndFastForward(repoPath, preferredBranch);
} catch (_) {
try { await this.gitRepoService.fetchAndFastForward(repoPath, alternateBranch); } catch (_) {}
}
const files = await this.gitRepoService.getChangedFilesSince(repoPath, sinceSha);
return files;
} catch (error) {
const attempted = [this.gitRepoService.getLocalRepoPath(owner, repo, preferredBranch), this.gitRepoService.getLocalRepoPath(owner, repo, alternateBranch)].join(' | ');
throw new Error(`${error.message} (attempted paths: ${attempted})`);
}
}
// Clean up repository storage
async cleanupRepositoryStorage(repositoryId) {
return await this.fileStorageService.cleanupRepositoryStorage(repositoryId);
}
// Try git-based sync first, fall back to GitHub API download on failure
async syncRepositoryWithFallback(owner, repo, branch, repositoryId) {
// First attempt: full git clone/fetch and index
const gitResult = await this.syncRepositoryWithGit(owner, repo, branch, repositoryId);
if (gitResult && gitResult.success) {
return { method: 'git', ...gitResult };
}
// Fallback: API-based download and storage
const apiResult = await this.downloadRepositoryWithStorage(owner, repo, branch, repositoryId);
if (apiResult && apiResult.success) {
return { method: 'api', ...apiResult, git_error: gitResult?.error };
}
return { success: false, error: apiResult?.error || gitResult?.error || 'Unknown sync failure' };
}
// Download repository files locally and store in database
async downloadRepositoryWithStorage(owner, repo, branch, repositoryId) {
const targetDir = path.join(
process.env.ATTACHED_REPOS_DIR || '/tmp/attached-repos',
process.env.ATTACHED_REPOS_DIR,
`${owner}__${repo}__${branch}`
);
@ -320,7 +699,7 @@ class GitHubIntegrationService {
// Legacy method - download repository files locally (backwards compatibility)
async downloadRepository(owner, repo, branch) {
const targetDir = path.join(
process.env.ATTACHED_REPOS_DIR || '/tmp/attached-repos',
process.env.ATTACHED_REPOS_DIR,
`${owner}__${repo}__${branch}`
);
@ -399,4 +778,4 @@ class GitHubIntegrationService {
}
}
module.exports = GitHubIntegrationService;
module.exports = GitHubIntegrationService;

View File

@ -14,16 +14,26 @@ class GitHubOAuthService {
}
// Generate GitHub OAuth URL
getAuthUrl(state) {
getAuthUrl(state, userId = null) {
if (!this.clientId) {
throw new Error('GitHub OAuth not configured');
}
// If a userId is provided, append it to the redirect_uri so the callback can link token to that user
let redirectUri = this.redirectUri;
if (userId) {
const hasQuery = redirectUri.includes('?');
redirectUri = `${redirectUri}${hasQuery ? '&' : '?'}user_id=${encodeURIComponent(userId)}`;
}
// Also embed userId into the OAuth state for fallback extraction in callback
const stateWithUser = userId ? `${state}|uid=${userId}` : state;
const params = new URLSearchParams({
client_id: this.clientId,
redirect_uri: this.redirectUri,
redirect_uri: redirectUri,
scope: 'repo,user:email',
state: state,
state: stateWithUser,
allow_signup: 'false'
});
@ -61,48 +71,116 @@ class GitHubOAuthService {
return user;
}
// Store GitHub token (no user ID)
async storeToken(accessToken, githubUser) {
// Store GitHub token with user ID
async storeToken(accessToken, githubUser, userId = null) {
const query = `
INSERT INTO github_user_tokens (access_token, github_username, github_user_id, scopes, expires_at)
VALUES ($1, $2, $3, $4, $5)
ON CONFLICT (id)
INSERT INTO github_user_tokens (access_token, github_username, github_user_id, scopes, expires_at, user_id, is_primary)
VALUES ($1, $2, $3, $4, $5, $6, $7)
ON CONFLICT (user_id, github_username)
DO UPDATE SET
access_token = $1,
github_username = $2,
github_user_id = $3,
scopes = $4,
expires_at = $5,
is_primary = $7,
updated_at = NOW()
RETURNING *
`;
// If this is the first GitHub account for the user, make it primary
const isPrimary = userId ? await this.isFirstGitHubAccountForUser(userId) : false;
const result = await database.query(query, [
accessToken,
githubUser.login,
githubUser.id,
JSON.stringify(['repo', 'user:email']),
null
null,
userId,
isPrimary
]);
return result.rows[0];
}
// Get stored token
// Check if this is the first GitHub account for a user
async isFirstGitHubAccountForUser(userId) {
const result = await database.query(
'SELECT COUNT(*) as count FROM github_user_tokens WHERE user_id = $1',
[userId]
);
return parseInt(result.rows[0].count) === 0;
}
// Get stored token (legacy method - gets any token)
async getToken() {
const query = 'SELECT * FROM github_user_tokens ORDER BY created_at DESC LIMIT 1';
const result = await database.query(query);
return result.rows[0];
}
// Get all tokens for a specific user
async getUserTokens(userId) {
const query = 'SELECT * FROM github_user_tokens WHERE user_id = $1 ORDER BY is_primary DESC, created_at DESC';
const result = await database.query(query, [userId]);
return result.rows;
}
// Get primary token for a user
async getUserPrimaryToken(userId) {
const query = 'SELECT * FROM github_user_tokens WHERE user_id = $1 AND is_primary = true LIMIT 1';
const result = await database.query(query, [userId]);
return result.rows[0] || null;
}
// Find the right token for accessing a specific repository
async findTokenForRepository(userId, owner, repo) {
const tokens = await this.getUserTokens(userId);
for (const token of tokens) {
try {
const octokit = new Octokit({ auth: token.access_token });
// Try to access the repository with this token
await octokit.repos.get({ owner, repo });
console.log(`✅ Found token for ${owner}/${repo}: ${token.github_username}`);
return token;
} catch (error) {
console.log(`❌ Token ${token.github_username} cannot access ${owner}/${repo}: ${error.message}`);
continue;
}
}
return null; // No token found that can access this repository
}
// Validate if a token is still valid
async validateToken(accessToken) {
try {
const octokit = new Octokit({ auth: accessToken });
await octokit.users.getAuthenticated();
return true;
} catch (error) {
if (error.status === 401) {
return false;
}
throw error;
}
}
// Create authenticated Octokit instance
async getAuthenticatedOctokit() {
const tokenRecord = await this.getToken();
if (!tokenRecord) {
return new Octokit({
userAgent: 'CodeNuk-GitIntegration/1.0.0',
});
throw new Error('No GitHub token found. Please authenticate with GitHub first.');
}
// Validate token before using it
const isValid = await this.validateToken(tokenRecord.access_token);
if (!isValid) {
console.warn('GitHub token is invalid or expired, removing from database');
await this.removeInvalidToken(tokenRecord.id);
throw new Error('GitHub token has expired. Please re-authenticate with GitHub.');
}
return new Octokit({
@ -125,6 +203,51 @@ class GitHubOAuthService {
}
}
// Remove invalid token from database
async removeInvalidToken(tokenId) {
try {
await database.query('DELETE FROM github_user_tokens WHERE id = $1', [tokenId]);
} catch (error) {
console.error('Error removing invalid token:', error);
}
}
// Check authentication status
async getAuthStatus() {
const tokenRecord = await this.getToken();
if (!tokenRecord) {
return {
connected: false,
requires_auth: true,
auth_url: this.getAuthUrl(Math.random().toString(36).substring(7))
};
}
// Validate token by making a test API call
try {
const octokit = new Octokit({ auth: tokenRecord.access_token });
await octokit.users.getAuthenticated();
return {
connected: true,
github_username: tokenRecord.github_username,
github_user_id: tokenRecord.github_user_id,
scopes: tokenRecord.scopes,
created_at: tokenRecord.created_at
};
} catch (error) {
console.warn('GitHub token validation failed:', error.message);
// Remove invalid token
await this.removeInvalidToken(tokenRecord.id);
return {
connected: false,
requires_auth: true,
auth_url: this.getAuthUrl(Math.random().toString(36).substring(7))
};
}
}
// Revoke token
async revokeToken() {
const tokenRecord = await this.getToken();

View File

@ -0,0 +1,70 @@
// services/gitlab-oauth.js
const database = require('../config/database');
class GitLabOAuthService {
constructor() {
this.clientId = process.env.GITLAB_CLIENT_ID;
this.clientSecret = process.env.GITLAB_CLIENT_SECRET;
this.baseUrl = (process.env.GITLAB_BASE_URL || 'https://gitlab.com').replace(/\/$/, '');
this.redirectUri = process.env.GITLAB_REDIRECT_URI || 'http://localhost:8012/api/vcs/gitlab/auth/callback';
}
getAuthUrl(state) {
if (!this.clientId) throw new Error('GitLab OAuth not configured');
const authUrl = `${this.baseUrl}/oauth/authorize`;
const params = new URLSearchParams({
client_id: this.clientId,
redirect_uri: this.redirectUri,
response_type: 'code',
scope: 'read_api api read_user',
state
});
return `${authUrl}?${params.toString()}`;
}
async exchangeCodeForToken(code) {
const tokenUrl = `${this.baseUrl}/oauth/token`;
const resp = await fetch(tokenUrl, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
client_id: this.clientId,
client_secret: this.clientSecret,
code,
grant_type: 'authorization_code',
redirect_uri: this.redirectUri
})
});
const data = await resp.json();
if (!resp.ok || data.error) throw new Error(data.error_description || 'GitLab token exchange failed');
return data.access_token;
}
async getUserInfo(accessToken) {
const resp = await fetch(`${this.baseUrl}/api/v4/user`, {
headers: { Authorization: `Bearer ${accessToken}` }
});
if (!resp.ok) throw new Error('Failed to fetch GitLab user');
return await resp.json();
}
async storeToken(accessToken, user) {
const result = await database.query(
`INSERT INTO gitlab_user_tokens (access_token, gitlab_username, gitlab_user_id, scopes, expires_at)
VALUES ($1, $2, $3, $4, $5)
ON CONFLICT (id) DO UPDATE SET access_token = EXCLUDED.access_token, gitlab_username = EXCLUDED.gitlab_username, gitlab_user_id = EXCLUDED.gitlab_user_id, scopes = EXCLUDED.scopes, expires_at = EXCLUDED.expires_at, updated_at = NOW()
RETURNING *`,
[accessToken, user.username, user.id, JSON.stringify(['read_api','api','read_user']), null]
);
return result.rows[0];
}
async getToken() {
const r = await database.query('SELECT * FROM gitlab_user_tokens ORDER BY created_at DESC LIMIT 1');
return r.rows[0];
}
}
module.exports = GitLabOAuthService;

View File

@ -0,0 +1,84 @@
// services/provider-registry.js
// Simple provider registry/factory to resolve adapters by provider key.
const GithubIntegrationService = require('./github-integration.service');
const GitlabAdapter = require('./providers/gitlab.adapter');
const BitbucketAdapter = require('./providers/bitbucket.adapter');
const GiteaAdapter = require('./providers/gitea.adapter');
class GithubAdapter {
constructor() {
this.impl = new GithubIntegrationService();
}
parseRepoUrl(url) {
return this.impl.parseGitHubUrl(url);
}
async checkRepositoryAccess(owner, repo) {
return await this.impl.checkRepositoryAccess(owner, repo);
}
async fetchRepositoryMetadata(owner, repo) {
return await this.impl.fetchRepositoryMetadata(owner, repo);
}
async analyzeCodebase(owner, repo, branch) {
return await this.impl.analyzeCodebase(owner, repo, branch);
}
async ensureRepositoryWebhook(owner, repo, callbackUrl) {
return await this.impl.ensureRepositoryWebhook(owner, repo, callbackUrl);
}
async syncRepositoryWithGit(owner, repo, branch, repositoryId) {
return await this.impl.syncRepositoryWithGit(owner, repo, branch, repositoryId);
}
async downloadRepositoryWithStorage(owner, repo, branch, repositoryId) {
return await this.impl.downloadRepositoryWithStorage(owner, repo, branch, repositoryId);
}
async syncRepositoryWithFallback(owner, repo, branch, repositoryId) {
return await this.impl.syncRepositoryWithFallback(owner, repo, branch, repositoryId);
}
async getRepositoryDiff(owner, repo, branch, fromSha, toSha) {
return await this.impl.getRepositoryDiff(owner, repo, branch, fromSha, toSha);
}
async getRepositoryChangesSince(owner, repo, branch, sinceSha) {
return await this.impl.getRepositoryChangesSince(owner, repo, branch, sinceSha);
}
async cleanupRepositoryStorage(repositoryId) {
return await this.impl.cleanupRepositoryStorage(repositoryId);
}
}
class ProviderRegistry {
constructor() {
this.providers = new Map();
// Register GitHub by default
this.providers.set('github', () => new GithubAdapter());
this.providers.set('gitlab', () => new GitlabAdapter());
this.providers.set('bitbucket', () => new BitbucketAdapter());
this.providers.set('gitea', () => new GiteaAdapter());
}
register(providerKey, factoryFn) {
this.providers.set(providerKey, factoryFn);
}
resolve(providerKey) {
const factory = this.providers.get((providerKey || '').toLowerCase());
if (!factory) {
throw new Error(`Unsupported provider: ${providerKey}`);
}
return factory();
}
}
module.exports = new ProviderRegistry();

View File

@ -0,0 +1,166 @@
// services/providers/bitbucket.adapter.js
const VcsProviderInterface = require('../vcs-provider.interface');
const FileStorageService = require('../file-storage.service');
const GitRepoService = require('../git-repo.service');
const BitbucketOAuthService = require('../bitbucket-oauth');
class BitbucketAdapter extends VcsProviderInterface {
constructor() {
super();
this.fileStorageService = new FileStorageService();
this.gitRepoService = new GitRepoService();
this.host = process.env.BITBUCKET_BASE_URL || 'bitbucket.org';
this.oauth = new BitbucketOAuthService();
}
parseRepoUrl(url) {
if (!url || typeof url !== 'string') throw new Error('URL must be a non-empty string');
let normalized = url.trim();
if (!normalized.startsWith('http')) normalized = 'https://' + normalized;
const host = normalized.replace(/^https?:\/\//, '').split('/')[0];
if (!host.includes('bitbucket')) throw new Error(`Invalid Bitbucket repository URL: ${url}`);
const parts = normalized.split(host)[1].replace(/^\//, '').split('#')[0].split('?')[0].split('/');
const owner = parts[0];
const repo = (parts[1] || '').replace(/\.git$/, '');
if (!owner || !repo) throw new Error(`Invalid Bitbucket repository URL: ${url}`);
let branch = 'main';
// Bitbucket uses /branch/ sometimes in URLs
const branchIdx = parts.findIndex(p => p === 'branch');
if (branchIdx >= 0 && parts[branchIdx + 1]) branch = parts[branchIdx + 1];
return { owner, repo, branch };
}
async checkRepositoryAccess(owner, repo) {
const token = await this.oauth.getToken();
try {
// Always try with authentication first (like GitHub behavior)
if (token?.access_token) {
const resp = await fetch(`https://api.bitbucket.org/2.0/repositories/${owner}/${repo}`, { headers: { Authorization: `Bearer ${token.access_token}` } });
if (resp.status === 200) {
const d = await resp.json();
const isPrivate = !!d.is_private;
return { exists: true, isPrivate, hasAccess: true, requiresAuth: isPrivate };
}
}
// No token or token failed: try without authentication
const resp = await fetch(`https://api.bitbucket.org/2.0/repositories/${owner}/${repo}`);
if (resp.status === 200) {
const d = await resp.json();
const isPrivate = !!d.is_private;
return { exists: true, isPrivate, hasAccess: true, requiresAuth: false };
}
if (resp.status === 404 || resp.status === 403) {
// Repository exists but requires authentication (like GitHub behavior)
return { exists: resp.status !== 404 ? true : false, isPrivate: true, hasAccess: false, requiresAuth: true };
}
} catch (error) {
// If any error occurs, assume repository requires authentication
return { exists: false, isPrivate: null, hasAccess: false, requiresAuth: true, error: 'Repository not found or requires authentication' };
}
return { exists: false, isPrivate: null, hasAccess: false, requiresAuth: true, error: 'Repository not found or requires authentication' };
}
async fetchRepositoryMetadata(owner, repo) {
const token = await this.oauth.getToken();
if (token?.access_token) {
try {
const resp = await fetch(`https://api.bitbucket.org/2.0/repositories/${owner}/${repo}`, { headers: { Authorization: `Bearer ${token.access_token}` } });
if (resp.ok) {
const d = await resp.json();
// Bitbucket default branch is in mainbranch.name
return { full_name: d.full_name, visibility: d.is_private ? 'private' : 'public', default_branch: d.mainbranch?.name || 'main', updated_at: d.updated_on };
}
} catch (_) {}
}
return { full_name: `${owner}/${repo}`, visibility: 'public', default_branch: 'main', updated_at: new Date().toISOString() };
}
async analyzeCodebase(owner, repo, branch) {
return { total_files: 0, total_size: 0, directories: [], branch };
}
async ensureRepositoryWebhook(owner, repo, callbackUrl) {
try {
if (!callbackUrl) return { created: false, reason: 'missing_callback_url' };
const token = await this.oauth.getToken();
if (!token?.access_token) return { created: false, reason: 'missing_token' };
// Bitbucket Cloud webhooks don't support shared secret directly; create basic push webhook
const resp = await fetch(`https://api.bitbucket.org/2.0/repositories/${owner}/${repo}/hooks`, {
method: 'POST',
headers: { 'Content-Type': 'application/json', Authorization: `Bearer ${token.access_token}` },
body: JSON.stringify({ description: 'CodeNuk Git Integration', url: callbackUrl, active: true, events: ['repo:push'] })
});
if (resp.ok) { const d = await resp.json(); return { created: true, hook_id: d.uuid || d.id }; }
return { created: false, reason: `status_${resp.status}` };
} catch (e) {
return { created: false, error: e.message };
}
}
async syncRepositoryWithGit(owner, repo, branch, repositoryId) {
const database = require('../../config/database');
let storageRecord = null;
try {
const token = await this.oauth.getToken();
let repoPath = null;
if (token?.access_token) {
repoPath = await this.gitRepoService.cloneIfMissingWithAuth(owner, repo, branch, this.host, token.access_token, 'bearer');
} else {
repoPath = await this.gitRepoService.cloneIfMissingWithHost(owner, repo, branch, this.host);
}
storageRecord = await this.fileStorageService.initializeRepositoryStorage(repositoryId, repoPath);
await this.fileStorageService.processDirectoryStructure(storageRecord.id, repositoryId, repoPath);
const finalStorage = await this.fileStorageService.completeRepositoryStorage(storageRecord.id);
// Get the current HEAD commit SHA and update the repository record
try {
const headSha = await this.gitRepoService.getHeadSha(repoPath);
await database.query(
'UPDATE github_repositories SET last_synced_at = NOW(), last_synced_commit_sha = $1, updated_at = NOW() WHERE id = $2',
[headSha, repositoryId]
);
} catch (e) {
// If we can't get the SHA, still update the sync time
await database.query(
'UPDATE github_repositories SET last_synced_at = NOW(), updated_at = NOW() WHERE id = $1',
[repositoryId]
);
}
return { success: true, method: 'git', targetDir: repoPath, storage: finalStorage };
} catch (e) {
if (storageRecord) await this.fileStorageService.markStorageFailed(storageRecord.id, e.message);
return { success: false, error: e.message };
}
}
async downloadRepositoryWithStorage() {
return { success: false, error: 'api_download_not_implemented' };
}
async syncRepositoryWithFallback(owner, repo, branch, repositoryId) {
const git = await this.syncRepositoryWithGit(owner, repo, branch, repositoryId);
if (git.success) return git;
return { success: false, error: git.error };
}
async getRepositoryDiff(owner, repo, branch, fromSha, toSha) {
const repoPath = this.gitRepoService.getLocalRepoPath(owner, repo, branch);
return await this.gitRepoService.getDiff(repoPath, fromSha || null, toSha || 'HEAD', { patch: true });
}
async getRepositoryChangesSince(owner, repo, branch, sinceSha) {
const repoPath = this.gitRepoService.getLocalRepoPath(owner, repo, branch);
return await this.gitRepoService.getChangedFilesSince(repoPath, sinceSha);
}
async cleanupRepositoryStorage(repositoryId) {
return await this.fileStorageService.cleanupRepositoryStorage(repositoryId);
}
}
module.exports = BitbucketAdapter;

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// services/providers/gitea.adapter.js
const VcsProviderInterface = require('../vcs-provider.interface');
const FileStorageService = require('../file-storage.service');
const GitRepoService = require('../git-repo.service');
const GiteaOAuthService = require('../gitea-oauth');
class GiteaAdapter extends VcsProviderInterface {
constructor() {
super();
this.fileStorageService = new FileStorageService();
this.gitRepoService = new GitRepoService();
this.host = process.env.GITEA_BASE_URL || 'gitea.com';
this.oauth = new GiteaOAuthService();
}
parseRepoUrl(url) {
if (!url || typeof url !== 'string') throw new Error('URL must be a non-empty string');
let normalized = url.trim();
if (!normalized.startsWith('http')) normalized = 'https://' + normalized;
const host = normalized.replace(/^https?:\/\//, '').split('/')[0];
// Gitea can be self-hosted; accept any host when explicitly using /api/vcs/gitea
const parts = normalized.split(host)[1].replace(/^\//, '').split('#')[0].split('?')[0].split('/');
const owner = parts[0];
const repo = (parts[1] || '').replace(/\.git$/, '');
if (!owner || !repo) throw new Error(`Invalid Gitea repository URL: ${url}`);
let branch = 'main';
const treeIdx = parts.findIndex(p => p === 'tree');
if (treeIdx >= 0 && parts[treeIdx + 1]) branch = parts[treeIdx + 1];
return { owner, repo, branch };
}
async checkRepositoryAccess(owner, repo) {
const token = await this.oauth.getToken();
const base = (process.env.GITEA_BASE_URL || 'https://gitea.com').replace(/\/$/, '');
try {
// Always try with authentication first (like GitHub behavior)
if (token?.access_token) {
const resp = await fetch(`${base}/api/v1/repos/${owner}/${repo}`, { headers: { Authorization: `Bearer ${token.access_token}` } });
if (resp.status === 200) {
const d = await resp.json();
const isPrivate = !!d.private;
return { exists: true, isPrivate, hasAccess: true, requiresAuth: isPrivate };
}
}
// No token or token failed: try without authentication
const resp = await fetch(`${base}/api/v1/repos/${owner}/${repo}`);
if (resp.status === 200) {
const d = await resp.json();
return { exists: true, isPrivate: !!d.private, hasAccess: true, requiresAuth: false };
}
if (resp.status === 404 || resp.status === 403) {
// Repository exists but requires authentication (like GitHub behavior)
return { exists: resp.status !== 404 ? true : false, isPrivate: true, hasAccess: false, requiresAuth: true };
}
} catch (error) {
// If any error occurs, assume repository requires authentication
return { exists: false, isPrivate: null, hasAccess: false, requiresAuth: true, error: 'Repository not found or requires authentication' };
}
return { exists: false, isPrivate: null, hasAccess: false, requiresAuth: true, error: 'Repository not found or requires authentication' };
}
async fetchRepositoryMetadata(owner, repo) {
const token = await this.oauth.getToken();
const base = (process.env.GITEA_BASE_URL || 'https://gitea.com').replace(/\/$/, '');
if (token?.access_token) {
try {
const resp = await fetch(`${base}/api/v1/repos/${owner}/${repo}`, { headers: { Authorization: `Bearer ${token.access_token}` } });
if (resp.ok) {
const d = await resp.json();
return { full_name: d.full_name || `${owner}/${repo}`, visibility: d.private ? 'private' : 'public', default_branch: d.default_branch || 'main', updated_at: d.updated_at };
}
} catch (_) {}
}
return { full_name: `${owner}/${repo}`, visibility: 'public', default_branch: 'main', updated_at: new Date().toISOString() };
}
async analyzeCodebase(owner, repo, branch) {
return { total_files: 0, total_size: 0, directories: [], branch };
}
async ensureRepositoryWebhook(owner, repo, callbackUrl) {
try {
if (!callbackUrl) return { created: false, reason: 'missing_callback_url' };
const token = await this.oauth.getToken();
if (!token?.access_token) return { created: false, reason: 'missing_token' };
const base = (process.env.GITEA_BASE_URL || 'https://gitea.com').replace(/\/$/, '');
const secret = process.env.GITEA_WEBHOOK_SECRET || '';
const resp = await fetch(`${base}/api/v1/repos/${owner}/${repo}/hooks`, {
method: 'POST',
headers: { 'Content-Type': 'application/json', Authorization: `Bearer ${token.access_token}` },
body: JSON.stringify({ type: 'gitea', config: { url: callbackUrl, content_type: 'json', secret: secret || undefined }, events: ['push'], active: true })
});
if (resp.ok) { const d = await resp.json(); return { created: true, hook_id: d.id }; }
return { created: false, reason: `status_${resp.status}` };
} catch (e) {
return { created: false, error: e.message };
}
}
async syncRepositoryWithGit(owner, repo, branch, repositoryId) {
const database = require('../../config/database');
let storageRecord = null;
try {
const token = await this.oauth.getToken();
let repoPath = null;
if (token?.access_token) {
repoPath = await this.gitRepoService.cloneIfMissingWithAuth(owner, repo, branch, this.host, token.access_token, 'oauth2');
} else {
repoPath = await this.gitRepoService.cloneIfMissingWithHost(owner, repo, branch, this.host);
}
storageRecord = await this.fileStorageService.initializeRepositoryStorage(repositoryId, repoPath);
await this.fileStorageService.processDirectoryStructure(storageRecord.id, repositoryId, repoPath);
const finalStorage = await this.fileStorageService.completeRepositoryStorage(storageRecord.id);
// Get the current HEAD commit SHA and update the repository record
try {
const headSha = await this.gitRepoService.getHeadSha(repoPath);
await database.query(
'UPDATE github_repositories SET last_synced_at = NOW(), last_synced_commit_sha = $1, updated_at = NOW() WHERE id = $2',
[headSha, repositoryId]
);
} catch (e) {
// If we can't get the SHA, still update the sync time
await database.query(
'UPDATE github_repositories SET last_synced_at = NOW(), updated_at = NOW() WHERE id = $1',
[repositoryId]
);
}
return { success: true, method: 'git', targetDir: repoPath, storage: finalStorage };
} catch (e) {
if (storageRecord) await this.fileStorageService.markStorageFailed(storageRecord.id, e.message);
return { success: false, error: e.message };
}
}
async downloadRepositoryWithStorage() {
return { success: false, error: 'api_download_not_implemented' };
}
async syncRepositoryWithFallback(owner, repo, branch, repositoryId) {
const git = await this.syncRepositoryWithGit(owner, repo, branch, repositoryId);
if (git.success) return git;
return { success: false, error: git.error };
}
async getRepositoryDiff(owner, repo, branch, fromSha, toSha) {
const repoPath = this.gitRepoService.getLocalRepoPath(owner, repo, branch);
return await this.gitRepoService.getDiff(repoPath, fromSha || null, toSha || 'HEAD', { patch: true });
}
async getRepositoryChangesSince(owner, repo, branch, sinceSha) {
const repoPath = this.gitRepoService.getLocalRepoPath(owner, repo, branch);
return await this.gitRepoService.getChangedFilesSince(repoPath, sinceSha);
}
async cleanupRepositoryStorage(repositoryId) {
return await this.fileStorageService.cleanupRepositoryStorage(repositoryId);
}
}
module.exports = GiteaAdapter;

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// services/providers/gitlab.adapter.js
const VcsProviderInterface = require('../vcs-provider.interface');
const FileStorageService = require('../file-storage.service');
const GitRepoService = require('../git-repo.service');
const GitLabOAuthService = require('../gitlab-oauth');
class GitlabAdapter extends VcsProviderInterface {
constructor() {
super();
this.fileStorageService = new FileStorageService();
this.gitRepoService = new GitRepoService();
this.host = process.env.GITLAB_BASE_URL || 'gitlab.com';
this.oauth = new GitLabOAuthService();
}
parseRepoUrl(url) {
if (!url || typeof url !== 'string') throw new Error('URL must be a non-empty string');
let normalized = url.trim();
if (!normalized.startsWith('http')) normalized = 'https://' + normalized;
const host = normalized.replace(/^https?:\/\//, '').split('/')[0];
if (!host.includes('gitlab')) throw new Error(`Invalid GitLab repository URL: ${url}`);
const parts = normalized.split(host)[1].replace(/^\//, '').split('#')[0].split('?')[0].split('/');
const owner = parts[0];
const repo = (parts[1] || '').replace(/\.git$/, '');
if (!owner || !repo) throw new Error(`Invalid GitLab repository URL: ${url}`);
let branch = 'main';
const treeIdx = parts.findIndex(p => p === 'tree');
if (treeIdx >= 0 && parts[treeIdx + 1]) branch = parts[treeIdx + 1];
return { owner, repo, branch };
}
async checkRepositoryAccess(owner, repo) {
const token = await this.oauth.getToken();
const base = (process.env.GITLAB_BASE_URL || 'https://gitlab.com').replace(/\/$/, '');
try {
// Always try with authentication first (like GitHub behavior)
if (token?.access_token) {
const resp = await fetch(`${base}/api/v4/projects/${encodeURIComponent(`${owner}/${repo}`)}`, { headers: { Authorization: `Bearer ${token.access_token}` } });
if (resp.status === 200) {
const data = await resp.json();
return { exists: true, isPrivate: data.visibility !== 'public', hasAccess: true, requiresAuth: data.visibility !== 'public' };
}
}
// No token or token failed: try without authentication
const resp = await fetch(`${base}/api/v4/projects/${encodeURIComponent(`${owner}/${repo}`)}`);
if (resp.status === 200) {
const data = await resp.json();
return { exists: true, isPrivate: data.visibility !== 'public', hasAccess: true, requiresAuth: false };
}
if (resp.status === 404 || resp.status === 403) {
// Repository exists but requires authentication (like GitHub behavior)
return { exists: resp.status !== 404 ? true : false, isPrivate: true, hasAccess: false, requiresAuth: true };
}
} catch (error) {
// If any error occurs, assume repository requires authentication
return { exists: false, isPrivate: null, hasAccess: false, requiresAuth: true, error: 'Repository not found or requires authentication' };
}
return { exists: false, isPrivate: null, hasAccess: false, requiresAuth: true, error: 'Repository not found or requires authentication' };
}
async fetchRepositoryMetadata(owner, repo) {
const token = await this.oauth.getToken();
const base = (process.env.GITLAB_BASE_URL || 'https://gitlab.com').replace(/\/$/, '');
if (token?.access_token) {
try {
const resp = await fetch(`${base}/api/v4/projects/${encodeURIComponent(`${owner}/${repo}`)}`, { headers: { Authorization: `Bearer ${token.access_token}` } });
if (resp.ok) {
const d = await resp.json();
return { full_name: d.path_with_namespace, visibility: d.visibility === 'public' ? 'public' : 'private', default_branch: d.default_branch || 'main', updated_at: d.last_activity_at };
}
} catch (_) {}
}
return { full_name: `${owner}/${repo}`, visibility: 'public', default_branch: 'main', updated_at: new Date().toISOString() };
}
async analyzeCodebase(owner, repo, branch) {
// Not using API; actual analysis happens after sync in storage
return { total_files: 0, total_size: 0, directories: [], branch };
}
async ensureRepositoryWebhook(owner, repo, callbackUrl) {
try {
if (!callbackUrl) return { created: false, reason: 'missing_callback_url' };
const token = await this.oauth.getToken();
if (!token?.access_token) return { created: false, reason: 'missing_token' };
const base = (process.env.GITLAB_BASE_URL || 'https://gitlab.com').replace(/\/$/, '');
const secret = process.env.GITLAB_WEBHOOK_SECRET || '';
const resp = await fetch(`${base}/api/v4/projects/${encodeURIComponent(`${owner}/${repo}`)}/hooks`, {
method: 'POST',
headers: { 'Content-Type': 'application/json', Authorization: `Bearer ${token.access_token}` },
body: JSON.stringify({ url: callbackUrl, push_events: true, token: secret || undefined, enable_ssl_verification: true })
});
if (resp.ok) { const data = await resp.json(); return { created: true, hook_id: data.id }; }
return { created: false, reason: `status_${resp.status}` };
} catch (e) {
return { created: false, error: e.message };
}
}
async syncRepositoryWithGit(owner, repo, branch, repositoryId) {
const database = require('../../config/database');
let storageRecord = null;
try {
const token = await this.oauth.getToken();
let repoPath = null;
// Always try with authentication first for GitLab, even for public repos
// because GitLab often requires auth for git operations
if (token?.access_token) {
repoPath = await this.gitRepoService.cloneIfMissingWithAuth(owner, repo, branch, this.host, token.access_token, 'oauth2');
} else {
// If no token, try without auth first, but if it fails, require authentication
try {
repoPath = await this.gitRepoService.cloneIfMissingWithHost(owner, repo, branch, this.host);
} catch (cloneError) {
// If clone fails without auth, this means the repo requires authentication
throw new Error(`GitLab repository requires authentication: ${cloneError.message}`);
}
}
storageRecord = await this.fileStorageService.initializeRepositoryStorage(repositoryId, repoPath);
await this.fileStorageService.processDirectoryStructure(storageRecord.id, repositoryId, repoPath);
const finalStorage = await this.fileStorageService.completeRepositoryStorage(storageRecord.id);
// Get the current HEAD commit SHA and update the repository record
try {
const headSha = await this.gitRepoService.getHeadSha(repoPath);
await database.query(
'UPDATE github_repositories SET last_synced_at = NOW(), last_synced_commit_sha = $1, updated_at = NOW() WHERE id = $2',
[headSha, repositoryId]
);
} catch (e) {
// If we can't get the SHA, still update the sync time
await database.query(
'UPDATE github_repositories SET last_synced_at = NOW(), updated_at = NOW() WHERE id = $1',
[repositoryId]
);
}
return { success: true, method: 'git', targetDir: repoPath, storage: finalStorage };
} catch (e) {
if (storageRecord) await this.fileStorageService.markStorageFailed(storageRecord.id, e.message);
return { success: false, error: e.message };
}
}
async downloadRepositoryWithStorage(owner, repo, branch, repositoryId) {
// Not implemented for GitLab without API token; fallback to git
return { success: false, error: 'api_download_not_implemented' };
}
async syncRepositoryWithFallback(owner, repo, branch, repositoryId) {
const git = await this.syncRepositoryWithGit(owner, repo, branch, repositoryId);
if (git.success) return git;
return { success: false, error: git.error };
}
async getRepositoryDiff(owner, repo, branch, fromSha, toSha) {
const repoPath = this.gitRepoService.getLocalRepoPath(owner, repo, branch);
return await this.gitRepoService.getDiff(repoPath, fromSha || null, toSha || 'HEAD', { patch: true });
}
async getRepositoryChangesSince(owner, repo, branch, sinceSha) {
const repoPath = this.gitRepoService.getLocalRepoPath(owner, repo, branch);
return await this.gitRepoService.getChangedFilesSince(repoPath, sinceSha);
}
async cleanupRepositoryStorage(repositoryId) {
return await this.fileStorageService.cleanupRepositoryStorage(repositoryId);
}
}
module.exports = GitlabAdapter;

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// services/vcs-provider.interface.js
// Provider-agnostic interface (shape) for VCS adapters.
class VcsProviderInterface {
// Parse a repository URL and return { owner, repo, branch }
parseRepoUrl(url) {
throw new Error('parseRepoUrl not implemented');
}
// Access check for repository
async checkRepositoryAccess(owner, repo) {
throw new Error('checkRepositoryAccess not implemented');
}
// Fetch repository metadata
async fetchRepositoryMetadata(owner, repo) {
throw new Error('fetchRepositoryMetadata not implemented');
}
// Analyze codebase (lightweight tree analysis)
async analyzeCodebase(owner, repo, branch) {
throw new Error('analyzeCodebase not implemented');
}
// Ensure a webhook exists for this repository
async ensureRepositoryWebhook(owner, repo, callbackUrl) {
throw new Error('ensureRepositoryWebhook not implemented');
}
// Sync using git; index to storage/DB via file storage service
async syncRepositoryWithGit(owner, repo, branch, repositoryId) {
throw new Error('syncRepositoryWithGit not implemented');
}
// Fallback: API download + storage
async downloadRepositoryWithStorage(owner, repo, branch, repositoryId) {
throw new Error('downloadRepositoryWithStorage not implemented');
}
// Try git first then API
async syncRepositoryWithFallback(owner, repo, branch, repositoryId) {
throw new Error('syncRepositoryWithFallback not implemented');
}
// Get diff and change lists
async getRepositoryDiff(owner, repo, branch, fromSha, toSha) {
throw new Error('getRepositoryDiff not implemented');
}
async getRepositoryChangesSince(owner, repo, branch, sinceSha) {
throw new Error('getRepositoryChangesSince not implemented');
}
// Cleanup local storage/DB artifacts
async cleanupRepositoryStorage(repositoryId) {
throw new Error('cleanupRepositoryStorage not implemented');
}
}
module.exports = VcsProviderInterface;

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// services/vcs-webhook.service.js
const database = require('../config/database');
const providerRegistry = require('./provider-registry');
class VcsWebhookService {
constructor() {
this._schemaChecked = false;
this._webhookEventColumns = new Map();
}
// Process webhook events for any VCS provider
async processWebhookEvent(providerKey, eventType, payload) {
console.log(`Processing ${providerKey} webhook event: ${eventType}`);
try {
switch (eventType) {
case 'push':
await this.handlePushEvent(providerKey, payload);
break;
case 'pull_request':
case 'merge_request':
await this.handlePullRequestEvent(providerKey, payload);
break;
case 'repository':
await this.handleRepositoryEvent(providerKey, payload);
break;
case 'ping':
await this.handlePingEvent(providerKey, payload);
break;
default:
console.log(`Unhandled webhook event type: ${eventType} for provider: ${providerKey}`);
}
} catch (error) {
console.error(`Error processing ${providerKey} webhook event ${eventType}:`, error);
throw error;
}
}
// Handle push events for any provider
async handlePushEvent(providerKey, payload) {
const { repository, project, ref, commits, pusher, user } = payload;
// Build a provider-normalized repo object for extraction
let repoForExtraction = repository || {};
if (providerKey === 'gitlab') {
// GitLab push payload includes repository (limited fields) and project (full namespace)
// Prefer project.path_with_namespace when available
repoForExtraction = {
path_with_namespace: project?.path_with_namespace || repository?.path_with_namespace,
full_name: project?.path_with_namespace || repository?.name,
default_branch: project?.default_branch || repository?.default_branch
};
}
// Extract provider-specific data
const repoData = this.extractRepositoryData(providerKey, repoForExtraction);
const commitData = this.extractCommitData(providerKey, commits);
const branchFromRef = this.extractBranchFromRef(providerKey, ref, repoForExtraction);
console.log(`Push event received for ${repoData.full_name} on ${branchFromRef}`);
console.log(`Pusher: ${pusher?.name || user?.name || 'Unknown'}, Commits: ${commitData.length}`);
// Persist raw webhook and commit SHAs
try {
// Find repository_id in our DB if attached
const repoLookup = await database.query(
'SELECT id FROM github_repositories WHERE owner_name = $1 AND repository_name = $2 ORDER BY created_at DESC LIMIT 1',
[repoData.owner, repoData.name]
);
const repoId = repoLookup.rows[0]?.id || null;
// Insert into provider-specific webhooks table
await this.insertWebhookEvent(providerKey, {
delivery_id: payload.delivery_id || payload.object_attributes?.id || null,
event_type: 'push',
action: null,
owner_name: repoData.owner,
repository_name: repoData.name,
repository_id: repoId,
ref: ref,
before_sha: payload.before || null,
after_sha: payload.after || null,
commit_count: commitData.length,
payload: JSON.stringify(payload)
});
if (repoId) {
// Insert into repository_commit_events
await database.query(
`INSERT INTO repository_commit_events (repository_id, ref, before_sha, after_sha, commit_count)
VALUES ($1, $2, $3, $4, $5)`,
[repoId, ref, payload.before || null, payload.after || null, commitData.length]
);
// Persist per-commit details and file paths
if (commitData.length > 0) {
for (const commit of commitData) {
try {
const commitInsert = await database.query(
`INSERT INTO repository_commit_details (repository_id, commit_sha, author_name, author_email, message, url)
VALUES ($1, $2, $3, $4, $5, $6)
ON CONFLICT (repository_id, commit_sha) DO UPDATE SET
author_name = EXCLUDED.author_name,
author_email = EXCLUDED.author_email,
message = EXCLUDED.message,
url = EXCLUDED.url
RETURNING id`,
[
repoId,
commit.id,
commit.author?.name || null,
commit.author?.email || null,
commit.message || null,
commit.url || null
]
);
const commitId = commitInsert.rows[0].id;
// Insert file changes
const addFiles = (paths = [], changeType) => paths.forEach(async (p) => {
try {
await database.query(
`INSERT INTO repository_commit_files (commit_id, change_type, file_path)
VALUES ($1, $2, $3)`,
[commitId, changeType, p]
);
} catch (_) {}
});
addFiles(commit.added || [], 'added');
addFiles(commit.modified || [], 'modified');
addFiles(commit.removed || [], 'removed');
} catch (commitErr) {
console.warn('Failed to persist commit details:', commitErr.message);
}
}
}
// Kick off background re-sync
setImmediate(async () => {
try {
const provider = providerRegistry.resolve(providerKey);
// Mark syncing
await database.query(
'UPDATE github_repositories SET sync_status = $1, updated_at = NOW() WHERE id = $2',
['syncing', repoId]
);
// Clean existing storage then git-sync and re-index
await provider.cleanupRepositoryStorage(repoId);
const downloadResult = await provider.syncRepositoryWithFallback(
repoData.owner,
repoData.name,
branchFromRef,
repoId
);
await database.query(
'UPDATE github_repositories SET sync_status = $1, last_synced_at = NOW(), updated_at = NOW() WHERE id = $2',
[downloadResult.success ? 'synced' : 'error', repoId]
);
} catch (syncErr) {
console.warn('Auto-sync failed:', syncErr.message);
try {
await database.query(
'UPDATE github_repositories SET sync_status = $1, updated_at = NOW() WHERE id = $2',
['error', repoId]
);
} catch (_) {}
}
});
}
} catch (e) {
console.warn('Failed to persist push webhook details:', e.message);
}
}
// Extract repository data based on provider
extractRepositoryData(providerKey, repository) {
switch (providerKey) {
case 'github':
return {
owner: repository.owner.login,
name: repository.name,
full_name: repository.full_name
};
case 'gitlab':
{
const ns = repository?.path_with_namespace || repository?.full_name || '';
const parts = typeof ns === 'string' ? ns.split('/') : [];
return {
owner: parts[0] || null,
name: parts[1] || repository?.name || null,
full_name: ns || [parts[0], parts[1]].filter(Boolean).join('/')
};
}
case 'bitbucket':
return {
owner: repository.full_name.split('/')[0],
name: repository.full_name.split('/')[1],
full_name: repository.full_name
};
case 'gitea':
return {
owner: repository.full_name.split('/')[0],
name: repository.full_name.split('/')[1],
full_name: repository.full_name
};
default:
return { owner: 'unknown', name: 'unknown', full_name: 'unknown/unknown' };
}
}
// Extract commit data based on provider
extractCommitData(providerKey, commits) {
if (!Array.isArray(commits)) return [];
switch (providerKey) {
case 'github':
return commits.map(commit => ({
id: commit.id,
author: commit.author,
message: commit.message,
url: commit.url,
added: commit.added || [],
modified: commit.modified || [],
removed: commit.removed || []
}));
case 'gitlab':
return commits.map(commit => ({
id: commit.id,
author: {
name: commit.author?.name,
email: commit.author?.email
},
message: commit.message,
url: commit.url,
added: commit.added || [],
modified: commit.modified || [],
removed: commit.removed || []
}));
case 'bitbucket':
return commits.map(commit => ({
id: commit.hash,
author: {
name: commit.author?.user?.display_name,
email: commit.author?.user?.email_address
},
message: commit.message,
url: commit.links?.html?.href,
added: commit.added || [],
modified: commit.modified || [],
removed: commit.removed || []
}));
case 'gitea':
return commits.map(commit => ({
id: commit.id,
author: {
name: commit.author?.name,
email: commit.author?.email
},
message: commit.message,
url: commit.url,
added: commit.added || [],
modified: commit.modified || [],
removed: commit.removed || []
}));
default:
return [];
}
}
// Extract branch from ref based on provider
extractBranchFromRef(providerKey, ref, repository) {
if (!ref) return repository?.default_branch || 'main';
switch (providerKey) {
case 'github':
case 'gitlab':
case 'gitea':
return ref.startsWith('refs/heads/') ? ref.replace('refs/heads/', '') : ref;
case 'bitbucket':
return ref.startsWith('refs/heads/') ? ref.replace('refs/heads/', '') : ref;
default:
return 'main';
}
}
// Insert webhook event into provider-specific table
async insertWebhookEvent(providerKey, eventData) {
const tableName = `${providerKey}_webhooks`;
const query = `
INSERT INTO ${tableName} (delivery_id, event_type, action, owner_name, repository_name, repository_id, ref, before_sha, after_sha, commit_count, payload)
VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11)
`;
await database.query(query, [
eventData.delivery_id,
eventData.event_type,
eventData.action,
eventData.owner_name,
eventData.repository_name,
eventData.repository_id,
eventData.ref,
eventData.before_sha,
eventData.after_sha,
eventData.commit_count,
eventData.payload
]);
}
// Handle pull/merge request events
async handlePullRequestEvent(providerKey, payload) {
const { action, pull_request, merge_request } = payload;
const pr = pull_request || merge_request;
const repository = payload.repository;
console.log(`Pull/Merge request ${action} for ${repository?.full_name || repository?.path_with_namespace}: #${pr?.number || pr?.iid}`);
// Log PR events for potential future integration
await this.logWebhookEvent(providerKey, 'pull_request', action, repository?.full_name || repository?.path_with_namespace, {
pr_number: pr?.number || pr?.iid,
pr_title: pr?.title,
pr_state: pr?.state,
pr_url: pr?.html_url || pr?.web_url
});
}
// Handle repository events
async handleRepositoryEvent(providerKey, payload) {
const { action, repository } = payload;
console.log(`Repository ${action} event for ${repository?.full_name || repository?.path_with_namespace}`);
if (action === 'deleted') {
// Handle repository deletion
const repoData = this.extractRepositoryData(providerKey, repository);
const query = `
SELECT gr.id, gr.template_id
FROM github_repositories gr
WHERE gr.owner_name = $1 AND gr.repository_name = $2
`;
const result = await database.query(query, [repoData.owner, repoData.name]);
if (result.rows.length > 0) {
console.log(`Repository ${repoData.full_name} was deleted, marking as inactive`);
await database.query(
'UPDATE github_repositories SET sync_status = $1, updated_at = NOW() WHERE id = $2',
['deleted', result.rows[0].id]
);
}
}
}
// Handle ping events
async handlePingEvent(providerKey, payload) {
console.log(`${providerKey} webhook ping received - webhook is working correctly`);
console.log(`Repository: ${payload.repository?.full_name || payload.repository?.path_with_namespace || 'Unknown'}`);
}
// Log webhook events for debugging and analytics
async logWebhookEvent(providerKey, eventType, action, repositoryFullName, metadata = {}, deliveryId = null, fullPayload = null) {
try {
await this._ensureWebhookEventsSchemaCached();
// Build a flexible INSERT based on existing columns
const columns = [];
const placeholders = [];
const values = [];
let i = 1;
columns.push('event_type');
placeholders.push(`$${i++}`);
values.push(eventType);
if (this._webhookEventColumns.has('action')) {
columns.push('action');
placeholders.push(`$${i++}`);
values.push(action || null);
}
if (this._webhookEventColumns.has('repository_full_name')) {
columns.push('repository_full_name');
placeholders.push(`$${i++}`);
values.push(repositoryFullName || null);
}
if (this._webhookEventColumns.has('delivery_id')) {
columns.push('delivery_id');
placeholders.push(`$${i++}`);
values.push(deliveryId || null);
}
if (this._webhookEventColumns.has('metadata')) {
columns.push('metadata');
placeholders.push(`$${i++}`);
values.push(JSON.stringify({ ...metadata, provider: providerKey }));
}
if (this._webhookEventColumns.has('event_payload')) {
columns.push('event_payload');
placeholders.push(`$${i++}`);
values.push(JSON.stringify(fullPayload || {}));
}
if (this._webhookEventColumns.has('received_at')) {
columns.push('received_at');
placeholders.push(`$${i++}`);
values.push(new Date());
}
if (this._webhookEventColumns.has('processing_status')) {
columns.push('processing_status');
placeholders.push(`$${i++}`);
values.push('pending');
}
const query = `INSERT INTO webhook_events (${columns.join(', ')}) VALUES (${placeholders.join(', ')})`;
await database.query(query, values);
} catch (error) {
console.warn('Failed to log webhook event:', error.message);
}
}
async _ensureWebhookEventsSchemaCached() {
if (this._schemaChecked) return;
try {
const result = await database.query(
"SELECT column_name, is_nullable FROM information_schema.columns WHERE table_schema='public' AND table_name='webhook_events'"
);
for (const row of result.rows) {
this._webhookEventColumns.set(row.column_name, row.is_nullable);
}
} catch (e) {
console.warn('Could not introspect webhook_events schema:', e.message);
} finally {
this._schemaChecked = true;
}
}
// Get recent webhook events
async getRecentWebhookEvents(limit = 50) {
try {
const query = `
SELECT * FROM webhook_events
ORDER BY received_at DESC
LIMIT $1
`;
const result = await database.query(query, [limit]);
return result.rows;
} catch (error) {
console.error('Failed to get webhook events:', error.message);
return [];
}
}
}
module.exports = VcsWebhookService;

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// services/webhook.service.js
const crypto = require('crypto');
const database = require('../config/database');
const GitHubIntegrationService = require('./github-integration.service');
class WebhookService {
constructor() {
this.webhookSecret = process.env.GITHUB_WEBHOOK_SECRET || 'default-webhook-secret';
this._schemaChecked = false;
this._webhookEventColumns = new Map();
this.githubService = new GitHubIntegrationService();
}
// Verify GitHub webhook signature
verifySignature(payload, signature) {
if (!signature) {
return false;
}
const expectedSignature = crypto
.createHmac('sha256', this.webhookSecret)
.update(payload)
.digest('hex');
const providedSignature = signature.replace('sha256=', '');
return crypto.timingSafeEqual(
Buffer.from(expectedSignature, 'hex'),
Buffer.from(providedSignature, 'hex')
);
}
// Process GitHub webhook events
async processWebhookEvent(eventType, payload) {
console.log(`Processing GitHub webhook event: ${eventType}`);
try {
switch (eventType) {
case 'push':
await this.handlePushEvent(payload);
break;
case 'pull_request':
await this.handlePullRequestEvent(payload);
break;
case 'repository':
await this.handleRepositoryEvent(payload);
break;
case 'ping':
await this.handlePingEvent(payload);
break;
default:
console.log(`Unhandled webhook event type: ${eventType}`);
}
} catch (error) {
console.error(`Error processing webhook event ${eventType}:`, error);
throw error;
}
}
// Handle push events
async handlePushEvent(payload) {
const { repository, ref, commits, pusher } = payload;
console.log(`Push event received for ${repository.full_name} on ${ref}`);
console.log(`Pusher: ${pusher.name}, Commits: ${commits.length}`);
// Persist raw webhook and commit SHAs
try {
const repoOwner = repository.owner.login;
const repoName = repository.name;
const branchFromRef = (ref || '').startsWith('refs/heads/') ? ref.replace('refs/heads/', '') : (repository.default_branch || 'main');
// Find repository_id in our DB if attached
const repoLookup = await database.query(
'SELECT id FROM github_repositories WHERE owner_name = $1 AND repository_name = $2 ORDER BY created_at DESC LIMIT 1',
[repoOwner, repoName]
);
const repoId = repoLookup.rows[0]?.id || null;
// Insert into durable github_webhooks table
await database.query(
`INSERT INTO github_webhooks (delivery_id, event_type, action, owner_name, repository_name, repository_id, ref, before_sha, after_sha, commit_count, payload)
VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11)`,
[
payload.delivery_id || null, // may be null if not provided by route; route passes header separately
'push',
null,
repoOwner,
repoName,
repoId,
ref,
payload.before || null,
payload.after || null,
Array.isArray(commits) ? commits.length : 0,
JSON.stringify(payload)
]
);
if (repoId) {
await database.query(
`INSERT INTO repository_commit_events (repository_id, ref, before_sha, after_sha, commit_count)
VALUES ($1, $2, $3, $4, $5)`,
[repoId, ref, payload.before || null, payload.after || null, Array.isArray(commits) ? commits.length : 0]
);
// Persist per-commit details and file paths (added/modified/removed)
if (Array.isArray(commits) && commits.length > 0) {
for (const commit of commits) {
try {
const commitInsert = await database.query(
`INSERT INTO repository_commit_details (repository_id, commit_sha, author_name, author_email, message, url)
VALUES ($1, $2, $3, $4, $5, $6)
ON CONFLICT (repository_id, commit_sha) DO UPDATE SET
author_name = EXCLUDED.author_name,
author_email = EXCLUDED.author_email,
message = EXCLUDED.message,
url = EXCLUDED.url
RETURNING id`,
[
repoId,
commit.id,
commit.author?.name || null,
commit.author?.email || null,
commit.message || null,
commit.url || null
]
);
const commitId = commitInsert.rows[0].id;
const addFiles = (paths = [], changeType) => paths.forEach(async (p) => {
try {
await database.query(
`INSERT INTO repository_commit_files (commit_id, change_type, file_path)
VALUES ($1, $2, $3)`,
[commitId, changeType, p]
);
} catch (_) {}
});
addFiles(commit.added || [], 'added');
addFiles(commit.modified || [], 'modified');
addFiles(commit.removed || [], 'removed');
} catch (commitErr) {
console.warn('Failed to persist commit details:', commitErr.message);
}
}
}
// Kick off background re-sync to refresh local files and DB (git-based)
setImmediate(async () => {
try {
// Mark syncing
await database.query(
'UPDATE github_repositories SET sync_status = $1, updated_at = NOW() WHERE id = $2',
['syncing', repoId]
);
// Clean existing storage then git-sync and re-index
await this.githubService.cleanupRepositoryStorage(repoId);
const downloadResult = await this.githubService.syncRepositoryWithFallback(
repoOwner,
repoName,
branchFromRef,
repoId
);
await database.query(
'UPDATE github_repositories SET sync_status = $1, last_synced_at = NOW(), updated_at = NOW() WHERE id = $2',
[downloadResult.success ? 'synced' : 'error', repoId]
);
} catch (syncErr) {
console.warn('Auto-sync failed:', syncErr.message);
try {
await database.query(
'UPDATE github_repositories SET sync_status = $1, updated_at = NOW() WHERE id = $2',
['error', repoId]
);
} catch (_) {}
}
});
}
} catch (e) {
console.warn('Failed to persist push webhook details:', e.message);
}
// Find repositories in our database that match this GitHub repository
const query = `
SELECT gr.*, rs.storage_status, rs.local_path
FROM github_repositories gr
LEFT JOIN repository_storage rs ON gr.id = rs.repository_id
WHERE gr.owner_name = $1 AND gr.repository_name = $2
`;
const result = await database.query(query, [repository.owner.login, repository.name]);
if (result.rows.length > 0) {
console.log(`Found ${result.rows.length} matching repositories in database`);
// Update last synced timestamp
for (const repo of result.rows) {
await database.query(
'UPDATE github_repositories SET last_synced_at = NOW(), updated_at = NOW() WHERE id = $1',
[repo.id]
);
// If repository is synced, we could trigger a re-sync here
if (repo.storage_status === 'completed') {
console.log(`Repository ${repo.repository_name} is synced, could trigger re-sync`);
// You could add logic here to trigger a background sync
}
}
} else {
console.log(`No matching repositories found for ${repository.full_name}`);
}
}
// Handle pull request events
async handlePullRequestEvent(payload) {
const { action, pull_request, repository } = payload;
console.log(`Pull request ${action} for ${repository.full_name}: #${pull_request.number}`);
console.log(`PR Title: ${pull_request.title}`);
console.log(`PR State: ${pull_request.state}`);
// Log PR events for potential future integration
await this.logWebhookEvent('pull_request', action, repository.full_name, {
pr_number: pull_request.number,
pr_title: pull_request.title,
pr_state: pull_request.state,
pr_url: pull_request.html_url
});
}
// Handle repository events
async handleRepositoryEvent(payload) {
const { action, repository } = payload;
console.log(`Repository ${action} event for ${repository.full_name}`);
if (action === 'deleted') {
// Handle repository deletion
const query = `
SELECT gr.id, gr.template_id
FROM github_repositories gr
WHERE gr.owner_name = $1 AND gr.repository_name = $2
`;
const result = await database.query(query, [repository.owner.login, repository.name]);
if (result.rows.length > 0) {
console.log(`Repository ${repository.full_name} was deleted, marking as inactive`);
await database.query(
'UPDATE github_repositories SET sync_status = $1, updated_at = NOW() WHERE id = $2',
['deleted', result.rows[0].id]
);
}
}
}
// Handle ping events (GitHub webhook test)
async handlePingEvent(payload) {
console.log('GitHub webhook ping received - webhook is working correctly');
console.log(`Repository: ${payload.repository?.full_name || 'Unknown'}`);
console.log(`Zen: ${payload.zen || 'No zen message'}`);
}
// Log webhook events for debugging and analytics
async _ensureWebhookEventsSchemaCached() {
if (this._schemaChecked) return;
try {
const result = await database.query(
"SELECT column_name, is_nullable FROM information_schema.columns WHERE table_schema='public' AND table_name='webhook_events'"
);
for (const row of result.rows) {
this._webhookEventColumns.set(row.column_name, row.is_nullable);
}
} catch (e) {
// If schema check fails, proceed with best-effort insert
console.warn('Could not introspect webhook_events schema:', e.message);
} finally {
this._schemaChecked = true;
}
}
async logWebhookEvent(eventType, action, repositoryFullName, metadata = {}, deliveryId = null, fullPayload = null) {
try {
await this._ensureWebhookEventsSchemaCached();
// Build a flexible INSERT based on existing columns
const columns = [];
const placeholders = [];
const values = [];
let i = 1;
columns.push('event_type');
placeholders.push(`$${i++}`);
values.push(eventType);
if (this._webhookEventColumns.has('action')) {
columns.push('action');
placeholders.push(`$${i++}`);
values.push(action || null);
}
if (this._webhookEventColumns.has('repository_full_name')) {
columns.push('repository_full_name');
placeholders.push(`$${i++}`);
values.push(repositoryFullName || null);
}
if (this._webhookEventColumns.has('delivery_id')) {
columns.push('delivery_id');
placeholders.push(`$${i++}`);
values.push(deliveryId || null);
}
if (this._webhookEventColumns.has('metadata')) {
columns.push('metadata');
placeholders.push(`$${i++}`);
values.push(JSON.stringify(metadata || {}));
}
if (this._webhookEventColumns.has('event_payload')) {
columns.push('event_payload');
placeholders.push(`$${i++}`);
values.push(JSON.stringify(fullPayload || {}));
}
if (this._webhookEventColumns.has('received_at')) {
columns.push('received_at');
placeholders.push(`$${i++}`);
values.push(new Date());
}
if (this._webhookEventColumns.has('processing_status')) {
columns.push('processing_status');
placeholders.push(`$${i++}`);
values.push('pending');
}
const query = `INSERT INTO webhook_events (${columns.join(', ')}) VALUES (${placeholders.join(', ')})`;
await database.query(query, values);
} catch (error) {
console.warn('Failed to log webhook event:', error.message);
}
}
// Get recent webhook events
async getRecentWebhookEvents(limit = 50) {
try {
const query = `
SELECT * FROM webhook_events
ORDER BY received_at DESC
LIMIT $1
`;
const result = await database.query(query, [limit]);
return result.rows;
} catch (error) {
console.error('Failed to get webhook events:', error.message);
return [];
}
}
}
module.exports = WebhookService;

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@ -0,0 +1,70 @@
// test-webhook.js - Simple test script for webhook endpoint
const fetch = require('node-fetch');
const WEBHOOK_URL = 'http://localhost:8012/api/github/webhook';
// Test webhook with a sample GitHub push event
const testPayload = {
ref: 'refs/heads/main',
before: 'abc123',
after: 'def456',
repository: {
id: 123456,
name: 'test-repo',
full_name: 'testuser/test-repo',
owner: {
login: 'testuser',
id: 789
}
},
pusher: {
name: 'testuser',
email: 'test@example.com'
},
commits: [
{
id: 'def456',
message: 'Test commit',
author: {
name: 'Test User',
email: 'test@example.com'
}
}
]
};
async function testWebhook() {
try {
console.log('🧪 Testing webhook endpoint...');
console.log(`📡 Sending POST request to: ${WEBHOOK_URL}`);
const response = await fetch(WEBHOOK_URL, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'X-GitHub-Event': 'push',
'X-GitHub-Delivery': 'test-delivery-123'
},
body: JSON.stringify(testPayload)
});
const result = await response.json();
console.log('📊 Response Status:', response.status);
console.log('📋 Response Body:', JSON.stringify(result, null, 2));
if (response.ok) {
console.log('✅ Webhook test successful!');
} else {
console.log('❌ Webhook test failed!');
}
} catch (error) {
console.error('❌ Error testing webhook:', error.message);
}
}
// Run the test
testWebhook();

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@ -1,37 +1,36 @@
FROM python:3.12-slim
# Install system dependencies needed for building Python packages
RUN apt-get update && apt-get install -y \
curl \
gcc \
g++ \
make \
libc6-dev \
libffi-dev \
libssl-dev \
build-essential \
pkg-config \
python3-dev \
&& rm -rf /var/lib/apt/lists/*
# Use official Python runtime as a parent image
FROM python:3.9-slim
# Set the working directory in the container
WORKDIR /app
# Upgrade pip and install build tools
RUN pip install --no-cache-dir --upgrade pip setuptools wheel
# Set environment variables
ENV PYTHONDONTWRITEBYTECODE 1
ENV PYTHONUNBUFFERED 1
# Copy requirements and install Python dependencies
# Install system dependencies including PostgreSQL client and netcat
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
libpq-dev \
postgresql-client \
curl \
netcat-openbsd \
&& rm -rf /var/lib/apt/lists/*
# Install Python dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Copy application code
# Copy the current directory contents into the container at /app
COPY . .
# Expose port
# Copy and set up startup scripts
COPY start.sh /app/start.sh
COPY docker-start.sh /app/docker-start.sh
RUN chmod +x /app/start.sh /app/docker-start.sh
# Expose the port the app runs on
EXPOSE 8002
# Health check
HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
CMD curl -f http://localhost:8002/health || exit 1
# Start the application
CMD ["uvicorn", "src.main:app", "--host", "0.0.0.0", "--port", "8002", "--reload"]
# Run Docker-optimized startup script
CMD ["/app/docker-start.sh"]

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// =====================================================
// NEO4J SCHEMA FROM POSTGRESQL DATA
// Price-focused migration from existing PostgreSQL database
// =====================================================
// Clear existing data
MATCH (n) DETACH DELETE n;
// =====================================================
// CREATE CONSTRAINTS AND INDEXES
// =====================================================
// Create uniqueness constraints
CREATE CONSTRAINT price_tier_name_unique IF NOT EXISTS FOR (p:PriceTier) REQUIRE p.tier_name IS UNIQUE;
CREATE CONSTRAINT technology_name_unique IF NOT EXISTS FOR (t:Technology) REQUIRE t.name IS UNIQUE;
CREATE CONSTRAINT tool_name_unique IF NOT EXISTS FOR (tool:Tool) REQUIRE tool.name IS UNIQUE;
CREATE CONSTRAINT stack_name_unique IF NOT EXISTS FOR (s:TechStack) REQUIRE s.name IS UNIQUE;
// Create indexes for performance
CREATE INDEX price_tier_range_idx IF NOT EXISTS FOR (p:PriceTier) ON (p.min_price_usd, p.max_price_usd);
CREATE INDEX tech_category_idx IF NOT EXISTS FOR (t:Technology) ON (t.category);
CREATE INDEX tech_cost_idx IF NOT EXISTS FOR (t:Technology) ON (t.monthly_cost_usd);
CREATE INDEX tool_category_idx IF NOT EXISTS FOR (tool:Tool) ON (tool.category);
CREATE INDEX tool_cost_idx IF NOT EXISTS FOR (tool:Tool) ON (tool.monthly_cost_usd);
// =====================================================
// PRICE TIER NODES (from PostgreSQL price_tiers table)
// =====================================================
// These will be populated from PostgreSQL data
// Structure matches PostgreSQL price_tiers table:
// - id, tier_name, min_price_usd, max_price_usd, target_audience, typical_project_scale, description
// =====================================================
// TECHNOLOGY NODES (from PostgreSQL technology tables)
// =====================================================
// These will be populated from PostgreSQL data
// Categories: frontend_technologies, backend_technologies, database_technologies,
// cloud_technologies, testing_technologies, mobile_technologies,
// devops_technologies, ai_ml_technologies
// =====================================================
// TOOL NODES (from PostgreSQL tools table)
// =====================================================
// These will be populated from PostgreSQL data
// Structure matches PostgreSQL tools table with pricing:
// - id, name, category, description, monthly_cost_usd, setup_cost_usd,
// price_tier_id, total_cost_of_ownership_score, price_performance_ratio
// =====================================================
// TECH STACK NODES (will be generated from combinations)
// =====================================================
// These will be dynamically created based on:
// - Price tier constraints
// - Technology compatibility
// - Budget optimization
// - Domain requirements
// =====================================================
// RELATIONSHIP TYPES
// =====================================================
// Price-based relationships
// - [:BELONGS_TO_TIER] - Technology/Tool belongs to price tier
// - [:WITHIN_BUDGET] - Technology/Tool fits within budget range
// - [:COST_OPTIMIZED] - Optimal cost-performance ratio
// Technology relationships
// - [:COMPATIBLE_WITH] - Technology compatibility
// - [:USES_FRONTEND] - Stack uses frontend technology
// - [:USES_BACKEND] - Stack uses backend technology
// - [:USES_DATABASE] - Stack uses database technology
// - [:USES_CLOUD] - Stack uses cloud technology
// - [:USES_TESTING] - Stack uses testing technology
// - [:USES_MOBILE] - Stack uses mobile technology
// - [:USES_DEVOPS] - Stack uses devops technology
// - [:USES_AI_ML] - Stack uses AI/ML technology
// Tool relationships
// - [:RECOMMENDED_FOR] - Tool recommended for domain/use case
// - [:INTEGRATES_WITH] - Tool integrates with technology
// - [:SUITABLE_FOR] - Tool suitable for price tier
// =====================================================
// PRICE-BASED QUERIES (examples)
// =====================================================
// Query 1: Find technologies within budget
// MATCH (t:Technology)-[:BELONGS_TO_TIER]->(p:PriceTier)
// WHERE $budget >= p.min_price_usd AND $budget <= p.max_price_usd
// RETURN t, p ORDER BY t.total_cost_of_ownership_score DESC
// Query 2: Find optimal tech stack for budget
// MATCH (frontend:Technology {category: "frontend"})-[:BELONGS_TO_TIER]->(p1:PriceTier)
// MATCH (backend:Technology {category: "backend"})-[:BELONGS_TO_TIER]->(p2:PriceTier)
// MATCH (database:Technology {category: "database"})-[:BELONGS_TO_TIER]->(p3:PriceTier)
// MATCH (cloud:Technology {category: "cloud"})-[:BELONGS_TO_TIER]->(p4:PriceTier)
// WHERE (frontend.monthly_cost_usd + backend.monthly_cost_usd +
// database.monthly_cost_usd + cloud.monthly_cost_usd) <= $budget
// RETURN frontend, backend, database, cloud,
// (frontend.monthly_cost_usd + backend.monthly_cost_usd +
// database.monthly_cost_usd + cloud.monthly_cost_usd) as total_cost
// ORDER BY total_cost ASC,
// (frontend.total_cost_of_ownership_score + backend.total_cost_of_ownership_score +
// database.total_cost_of_ownership_score + cloud.total_cost_of_ownership_score) DESC
// Query 3: Find tools for specific price tier
// MATCH (tool:Tool)-[:BELONGS_TO_TIER]->(p:PriceTier {tier_name: $tier_name})
// RETURN tool ORDER BY tool.price_performance_ratio DESC
// =====================================================
// COMPLETION STATUS
// =====================================================
RETURN "✅ Neo4j Schema Ready for PostgreSQL Migration!" as status,
"🎯 Focus: Price-based relationships from existing PostgreSQL data" as focus,
"📊 Ready for data migration and relationship creation" as ready_state;

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@ -502,4 +502,16 @@ if domain == 'gaming':
**Last Updated**: July 3, 2025
**Version**: 4.0.0
**Maintainer**: AI Development Pipeline Team
**Status**: Production Ready ✅
**Status**: Production Ready ✅
# Normal startup (auto-detects if migration needed)
./start_migrated.sh
# Force re-migration (useful when you add new data)
./start_migrated.sh --force-migration
# Show help
./start_migrated.sh --help
healthcare, finance, gaming, education, media, iot, social, elearning, realestate, travel, manufacturing, ecommerce, saas

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@ -0,0 +1,189 @@
# Tech Stack Selector -- Postgres + Neo4j Knowledge Graph
This project provides a **price-focused technology stack selector**.\
It uses a **Postgres relational database** for storing technologies and
pricing, and builds a **Neo4j knowledge graph** to support advanced
queries like:
> *"Show me all backend, frontend, and cloud technologies that fit a
> \$10-\$50 budget."*
------------------------------------------------------------------------
## 📌 1. Database Schema (Postgres)
The schema is designed to ensure **data integrity** and
**price-tier-driven recommendations**.
### Core Tables
- **`price_tiers`** -- Foundation table for price categories (tiers
like *Free*, *Low*, *Medium*, *Enterprise*).
- **Category-Specific Tables** -- Each technology domain has its own
table:
- `frontend_technologies`
- `backend_technologies`
- `cloud_technologies`
- `database_technologies`
- `testing_technologies`
- `mobile_technologies`
- `devops_technologies`
- `ai_ml_technologies`
- **`tools`** -- Central table for business/productivity tools with:
- `name`, `category`, `description`
- `primary_use_cases`
- `popularity_score`
- Pricing fields: `monthly_cost_usd`, `setup_cost_usd`,
`license_cost_usd`, `training_cost_usd`,
`total_cost_of_ownership_score`
- Foreign key to `price_tiers`
All category tables reference `price_tiers(id)` ensuring **referential
integrity**.
------------------------------------------------------------------------
## 🧱 2. Migration Files
Your migrations are structured as follows:
1. **`001_schema.sql`** -- Creates all tables, constraints, indexes.
2. **`002_tools_migration.sql`** -- Adds `tools` table and full-text
search indexes.
3. **`003_tools_pricing_migration.sql`** -- Adds cost-related fields to
`tools` and links to `price_tiers`.
Run them in order:
``` bash
psql -U <user> -d <database> -f sql/001_schema.sql
psql -U <user> -d <database> -f sql/002_tools_migration.sql
psql -U <user> -d <database> -f sql/003_tools_pricing_migration.sql
```
------------------------------------------------------------------------
## 🕸️ 3. Neo4j Knowledge Graph Design
We map relational data into a graph for semantic querying.
### Node Types
- **Technology**`{name, category, description, popularity_score}`
- **Category**`{name}`
- **PriceTier**`{tier_name, min_price, max_price}`
### Relationships
- `(Technology)-[:BELONGS_TO]->(Category)`
- `(Technology)-[:HAS_PRICE_TIER]->(PriceTier)`
Example graph:
(:Technology {name:"NodeJS"})-[:BELONGS_TO]->(:Category {name:"Backend"})
(:Technology {name:"NodeJS"})-[:HAS_PRICE_TIER]->(:PriceTier {tier_name:"Medium"})
------------------------------------------------------------------------
## 🔄 4. ETL (Extract → Transform → Load)
Use a Python ETL script to pull from Postgres and load into Neo4j.
### Example Script
``` python
from neo4j import GraphDatabase
import psycopg2
pg_conn = psycopg2.connect(host="localhost", database="techstack", user="user", password="pass")
pg_cur = pg_conn.cursor()
driver = GraphDatabase.driver("bolt://localhost:7687", auth=("neo4j", "password"))
def insert_data(tx, tech_name, category, price_tier):
tx.run("""
MERGE (c:Category {name: $category})
MERGE (t:Technology {name: $tech})
ON CREATE SET t.category = $category
MERGE (p:PriceTier {tier_name: $price_tier})
MERGE (t)-[:BELONGS_TO]->(c)
MERGE (t)-[:HAS_PRICE_TIER]->(p)
""", tech=tech_name, category=category, price_tier=price_tier)
pg_cur.execute("SELECT name, category, tier_name FROM tools JOIN price_tiers ON price_tiers.id = tools.price_tier_id")
rows = pg_cur.fetchall()
with driver.session() as session:
for name, category, tier in rows:
session.write_transaction(insert_data, name, category, tier)
pg_conn.close()
driver.close()
```
------------------------------------------------------------------------
## 🔍 5. Querying the Knowledge Graph
### Find technologies in a price range:
``` cypher
MATCH (t:Technology)-[:HAS_PRICE_TIER]->(p:PriceTier)
WHERE p.min_price >= 10 AND p.max_price <= 50
RETURN t.name, p.tier_name
ORDER BY p.min_price ASC
```
### Find technologies for a specific domain:
``` cypher
MATCH (t:Technology)-[:BELONGS_TO]->(c:Category)
WHERE c.name = "Backend"
RETURN t.name, t.popularity_score
ORDER BY t.popularity_score DESC
```
------------------------------------------------------------------------
## 🗂️ 6. Suggested Project Structure
techstack-selector/
├── sql/
│ ├── 001_schema.sql
│ ├── 002_tools_migration.sql
│ └── 003_tools_pricing_migration.sql
├── etl/
│ └── postgres_to_neo4j.py
├── api/
│ └── app.py (Flask/FastAPI server for exposing queries)
├── docs/
│ └── README.md
------------------------------------------------------------------------
## 🚀 7. API Layer (Optional)
You can wrap Neo4j queries inside a REST/GraphQL API.
Example response:
``` json
{
"price_range": [10, 50],
"technologies": [
{"name": "NodeJS", "category": "Backend", "tier": "Medium"},
{"name": "React", "category": "Frontend", "tier": "Medium"}
]
}
```
------------------------------------------------------------------------
## ✅ Summary
This README covers: - Postgres schema with pricing and foreign keys -
Migration execution steps - Neo4j graph model - Python ETL script -
Example Cypher queries - Suggested folder structure
This setup enables **price-driven technology recommendations** with a
clear path for building APIs and AI-powered analytics.

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-- =====================================================
-- Tools Table Migration
-- Business/Productivity Tools for Domain-Based Recommendations
-- =====================================================
-- Create tools table
CREATE TABLE tools (
id SERIAL PRIMARY KEY,
name VARCHAR(255) NOT NULL,
category VARCHAR(100) NOT NULL,
description TEXT,
primary_use_cases TEXT,
popularity_score INT CHECK (popularity_score >= 1 AND popularity_score <= 100),
created_at TIMESTAMP DEFAULT now()
);
-- Create indexes for better performance
CREATE INDEX idx_tools_category ON tools(category);
CREATE INDEX idx_tools_popularity ON tools(popularity_score);
CREATE INDEX idx_tools_name_search ON tools USING gin(to_tsvector('english', name));
-- =====================================================
-- SEED DATA - BUSINESS/PRODUCTIVITY TOOLS
-- =====================================================
INSERT INTO tools (name, category, description, primary_use_cases, popularity_score) VALUES
-- E-commerce Tools
('Shopify', 'e-commerce', 'Complete e-commerce platform for online stores with built-in payment processing, inventory management, and marketing tools', 'Online store creation, product management, order processing, payment handling, inventory tracking, customer management, marketing automation', 95),
('WooCommerce', 'e-commerce', 'WordPress plugin that transforms any WordPress site into a fully functional e-commerce store', 'WordPress e-commerce, product catalog, payment processing, order management, inventory control, customer accounts', 90),
('Magento', 'e-commerce', 'Enterprise-grade e-commerce platform with advanced customization and scalability features', 'Large-scale e-commerce, B2B commerce, multi-store management, advanced catalog management, enterprise integrations', 85),
('BigCommerce', 'e-commerce', 'SaaS e-commerce platform with built-in features for growing online businesses', 'Online store setup, payment processing, SEO optimization, multi-channel selling, inventory management', 80),
('Squarespace Commerce', 'e-commerce', 'Website builder with integrated e-commerce capabilities for small to medium businesses', 'Website creation with e-commerce, product showcase, payment processing, inventory management, customer management', 75),
('PrestaShop', 'e-commerce', 'Open-source e-commerce platform with extensive customization options', 'Custom e-commerce solutions, multi-language stores, advanced product management, payment gateway integration', 70),
-- CRM Tools
('HubSpot CRM', 'crm', 'Free CRM platform with sales, marketing, and customer service tools for growing businesses', 'Lead management, contact tracking, sales pipeline management, email marketing, customer support, analytics', 95),
('Salesforce CRM', 'crm', 'Enterprise-grade CRM platform with extensive customization and integration capabilities', 'Enterprise sales management, customer relationship management, marketing automation, analytics, custom applications', 98),
('Zoho CRM', 'crm', 'Comprehensive CRM solution with sales, marketing, and customer support features', 'Lead and contact management, sales automation, email marketing, customer support, analytics, mobile access', 85),
('Pipedrive', 'crm', 'Sales-focused CRM with visual pipeline management and automation features', 'Sales pipeline management, deal tracking, contact management, email integration, sales reporting', 80),
('Freshworks CRM', 'crm', 'Modern CRM platform with AI-powered insights and automation capabilities', 'Lead management, contact tracking, sales automation, email marketing, customer support, AI insights', 75),
('Monday.com CRM', 'crm', 'Visual CRM platform with customizable workflows and team collaboration features', 'Sales pipeline management, contact tracking, team collaboration, project management, automation', 70),
-- Analytics Tools
('Google Analytics', 'analytics', 'Web analytics service that tracks and reports website traffic and user behavior', 'Website traffic analysis, user behavior tracking, conversion tracking, audience insights, performance monitoring', 98),
('Mixpanel', 'analytics', 'Advanced analytics platform focused on user behavior and product analytics', 'User behavior analysis, funnel analysis, cohort analysis, A/B testing, product analytics, retention tracking', 85),
('Amplitude', 'analytics', 'Product analytics platform for understanding user behavior and driving growth', 'User journey analysis, behavioral analytics, cohort analysis, retention analysis, feature adoption tracking', 80),
('Hotjar', 'analytics', 'User behavior analytics tool with heatmaps, session recordings, and feedback collection', 'Heatmap analysis, session recordings, user feedback, conversion optimization, user experience analysis', 75),
('Tableau', 'analytics', 'Business intelligence and data visualization platform for advanced analytics', 'Data visualization, business intelligence, advanced analytics, reporting, data exploration, dashboard creation', 90),
('Power BI', 'analytics', 'Microsoft business analytics service for data visualization and business intelligence', 'Data visualization, business intelligence, reporting, dashboard creation, data modeling, advanced analytics', 85),
-- Payment Processing
('Stripe', 'payments', 'Online payment processing platform for internet businesses with developer-friendly APIs', 'Online payments, subscription billing, marketplace payments, international payments, fraud prevention, API integration', 95),
('PayPal', 'payments', 'Global payment platform supporting online payments, money transfers, and business solutions', 'Online payments, money transfers, business payments, international transactions, mobile payments, invoicing', 90),
('Razorpay', 'payments', 'Payment gateway solution designed for Indian businesses with local payment methods', 'Indian payment processing, UPI payments, card payments, subscription billing, payment links, business banking', 85),
('Square', 'payments', 'Payment processing platform with point-of-sale and online payment solutions', 'Point-of-sale payments, online payments, invoicing, business management, payment analytics, mobile payments', 80),
('Adyen', 'payments', 'Global payment platform for enterprise businesses with advanced fraud prevention', 'Enterprise payments, global payment processing, fraud prevention, payment optimization, unified commerce', 75),
('Braintree', 'payments', 'PayPal-owned payment platform with advanced features for online and mobile payments', 'Online payments, mobile payments, marketplace payments, subscription billing, fraud protection, global payments', 70),
-- Communication Tools
('Slack', 'communication', 'Business communication platform with channels, direct messaging, and app integrations', 'Team communication, project collaboration, file sharing, app integrations, video calls, workflow automation', 95),
('Microsoft Teams', 'communication', 'Collaboration platform with chat, video meetings, and Microsoft 365 integration', 'Team communication, video conferencing, file collaboration, Microsoft 365 integration, project management', 90),
('Discord', 'communication', 'Voice, video, and text communication platform popular with gaming and tech communities', 'Community building, voice/video calls, text chat, server management, bot integration, streaming', 85),
('Zoom', 'communication', 'Video conferencing platform with meeting, webinar, and collaboration features', 'Video meetings, webinars, screen sharing, recording, virtual events, team collaboration', 90),
('Telegram', 'communication', 'Cloud-based messaging platform with group chats, channels, and bot support', 'Messaging, group chats, channels, file sharing, bot integration, voice/video calls, cloud storage', 80),
('WhatsApp Business', 'communication', 'Business messaging platform for customer communication and marketing', 'Customer communication, business messaging, marketing campaigns, catalog sharing, payment integration', 75),
-- Project Management
('Trello', 'project-management', 'Visual project management tool using boards, lists, and cards for task organization', 'Task management, project tracking, team collaboration, workflow visualization, deadline management, progress tracking', 85),
('Jira', 'project-management', 'Agile project management tool designed for software development teams', 'Agile project management, issue tracking, sprint planning, bug tracking, release management, team collaboration', 90),
('Asana', 'project-management', 'Work management platform for teams to organize, track, and manage their work', 'Task management, project planning, team collaboration, workflow automation, progress tracking, deadline management', 85),
('Monday.com', 'project-management', 'Work operating system with customizable workflows and visual project management', 'Project management, team collaboration, workflow automation, resource management, time tracking, reporting', 80),
('Notion', 'project-management', 'All-in-one workspace combining notes, docs, wikis, and project management', 'Note-taking, documentation, project management, team collaboration, knowledge management, task tracking', 85),
('Basecamp', 'project-management', 'Project management and team communication platform with simple, organized interface', 'Project management, team communication, file sharing, scheduling, progress tracking, client collaboration', 75),
-- Marketing Tools
('Mailchimp', 'marketing', 'Email marketing and automation platform with audience management and analytics', 'Email marketing, marketing automation, audience segmentation, campaign management, analytics, landing pages', 90),
('Klaviyo', 'marketing', 'E-commerce marketing automation platform with advanced segmentation and personalization', 'E-commerce marketing, email automation, SMS marketing, customer segmentation, personalization, analytics', 85),
('SEMrush', 'marketing', 'Digital marketing toolkit with SEO, PPC, content, and social media marketing tools', 'SEO analysis, keyword research, competitor analysis, PPC management, content marketing, social media management', 80),
('HubSpot Marketing', 'marketing', 'Inbound marketing platform with lead generation, email marketing, and analytics', 'Lead generation, email marketing, marketing automation, landing pages, analytics, CRM integration', 85),
('Hootsuite', 'marketing', 'Social media management platform for scheduling, monitoring, and analytics', 'Social media scheduling, content management, social listening, analytics, team collaboration, brand monitoring', 80),
('Canva', 'marketing', 'Graphic design platform with templates and tools for creating marketing materials', 'Graphic design, social media graphics, presentations, marketing materials, brand assets, team collaboration', 90),
-- Design & Content Creation
('Figma', 'design', 'Collaborative interface design tool with real-time editing and prototyping features', 'UI/UX design, prototyping, design systems, team collaboration, design handoff, component libraries', 95),
('Adobe Creative Suite', 'design', 'Comprehensive suite of creative tools for design, photography, and video production', 'Graphic design, photo editing, video production, web design, illustration, animation, print design', 90),
('Sketch', 'design', 'Digital design toolkit for creating user interfaces and user experiences', 'UI design, prototyping, design systems, vector graphics, collaboration, design handoff', 85),
('InVision', 'design', 'Digital product design platform with prototyping and collaboration features', 'Prototyping, design collaboration, user testing, design handoff, design systems, workflow management', 80),
('Adobe XD', 'design', 'User experience design tool with prototyping and collaboration capabilities', 'UX design, prototyping, design systems, collaboration, user testing, design handoff', 85),
('Framer', 'design', 'Interactive design tool for creating high-fidelity prototypes and animations', 'Interactive prototyping, animation design, responsive design, user testing, design handoff', 75),
-- Development & DevOps
('GitHub', 'development', 'Code hosting platform with version control, collaboration, and project management features', 'Code hosting, version control, collaboration, project management, CI/CD, code review, issue tracking', 95),
('GitLab', 'development', 'DevOps platform with Git repository management, CI/CD, and project management', 'Version control, CI/CD, project management, code review, issue tracking, DevOps automation', 85),
('Bitbucket', 'development', 'Git repository management solution with built-in CI/CD and collaboration tools', 'Version control, code collaboration, CI/CD, project management, code review, issue tracking', 80),
('Jira Software', 'development', 'Agile project management tool specifically designed for software development teams', 'Agile project management, sprint planning, issue tracking, release management, team collaboration', 90),
('Confluence', 'development', 'Team collaboration and documentation platform for knowledge sharing and project documentation', 'Documentation, knowledge management, team collaboration, project documentation, meeting notes, wikis', 85),
('Jenkins', 'development', 'Open-source automation server for building, testing, and deploying software', 'CI/CD automation, build automation, testing automation, deployment automation, pipeline management', 80),
-- Customer Support
('Zendesk', 'customer-support', 'Customer service platform with ticketing, knowledge base, and communication tools', 'Customer support, ticket management, knowledge base, live chat, customer communication, analytics', 90),
('Intercom', 'customer-support', 'Customer messaging platform with support, engagement, and marketing features', 'Customer support, live chat, messaging, customer engagement, marketing automation, analytics', 85),
('Freshdesk', 'customer-support', 'Cloud-based customer support software with ticketing and communication features', 'Customer support, ticket management, knowledge base, live chat, customer communication, automation', 80),
('Help Scout', 'customer-support', 'Customer service platform focused on team collaboration and customer satisfaction', 'Customer support, ticket management, team collaboration, customer communication, knowledge base, analytics', 75),
('LiveChat', 'customer-support', 'Live chat software for customer support and sales with automation features', 'Live chat, customer support, sales chat, chat automation, visitor tracking, analytics', 70),
('Crisp', 'customer-support', 'Customer messaging platform with live chat, email, and social media integration', 'Live chat, customer support, email integration, social media integration, visitor tracking, analytics', 65),
-- Business Intelligence & Reporting
('Google Data Studio', 'business-intelligence', 'Free data visualization and reporting tool that integrates with Google services', 'Data visualization, reporting, dashboard creation, Google Analytics integration, data exploration', 80),
('Looker', 'business-intelligence', 'Business intelligence platform with data modeling and visualization capabilities', 'Business intelligence, data modeling, visualization, reporting, analytics, data exploration', 85),
('Qlik Sense', 'business-intelligence', 'Self-service data visualization and business intelligence platform', 'Data visualization, business intelligence, self-service analytics, reporting, data exploration', 80),
('Sisense', 'business-intelligence', 'Business intelligence platform with embedded analytics and data visualization', 'Business intelligence, embedded analytics, data visualization, reporting, data modeling', 75),
('Domo', 'business-intelligence', 'Cloud-based business intelligence platform with real-time data visualization', 'Business intelligence, real-time analytics, data visualization, reporting, dashboard creation', 70),
('Metabase', 'business-intelligence', 'Open-source business intelligence tool with easy-to-use interface for data exploration', 'Business intelligence, data exploration, reporting, dashboard creation, SQL queries, data visualization', 75),
-- Accounting & Finance
('QuickBooks', 'accounting', 'Accounting software for small and medium businesses with invoicing and expense tracking', 'Accounting, invoicing, expense tracking, financial reporting, tax preparation, payroll management', 90),
('Xero', 'accounting', 'Cloud-based accounting software for small businesses with bank reconciliation and reporting', 'Accounting, bank reconciliation, invoicing, expense tracking, financial reporting, inventory management', 85),
('FreshBooks', 'accounting', 'Cloud-based accounting software designed for small businesses and freelancers', 'Accounting, invoicing, expense tracking, time tracking, project management, financial reporting', 80),
('Wave', 'accounting', 'Free accounting software for small businesses with invoicing and receipt scanning', 'Accounting, invoicing, expense tracking, receipt scanning, financial reporting, tax preparation', 75),
('Sage', 'accounting', 'Business management software with accounting, payroll, and HR features', 'Accounting, payroll management, HR management, financial reporting, inventory management, business intelligence', 80),
('Zoho Books', 'accounting', 'Online accounting software with invoicing, expense tracking, and financial reporting', 'Accounting, invoicing, expense tracking, financial reporting, inventory management, project management', 75);
-- =====================================================
-- VERIFICATION QUERIES
-- =====================================================
-- Verify data insertion
SELECT
category,
COUNT(*) as tool_count,
AVG(popularity_score) as avg_popularity
FROM tools
GROUP BY category
ORDER BY tool_count DESC;
-- Example query: Get tools by category
SELECT name, description, popularity_score
FROM tools
WHERE category = 'e-commerce'
ORDER BY popularity_score DESC;
-- Example query: Search for tools by use case
SELECT name, category, primary_use_cases
FROM tools
WHERE primary_use_cases ILIKE '%payment%'
ORDER BY popularity_score DESC;
-- =====================================================
-- MIGRATION COMPLETED
-- =====================================================
-- Display completion message
DO $$
BEGIN
RAISE NOTICE 'Tools table migration completed successfully!';
RAISE NOTICE 'Created tools table with % categories and % total tools',
(SELECT COUNT(DISTINCT category) FROM tools),
(SELECT COUNT(*) FROM tools);
RAISE NOTICE 'Ready for domain-based tool recommendations';
END $$;

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@ -0,0 +1,788 @@
-- =====================================================
-- Tools Pricing Migration
-- Add pricing fields and data to tools table
-- =====================================================
-- Add pricing fields to tools table
ALTER TABLE tools ADD COLUMN IF NOT EXISTS price_tier_id INTEGER REFERENCES price_tiers(id);
ALTER TABLE tools ADD COLUMN IF NOT EXISTS monthly_cost_usd DECIMAL(10,2) DEFAULT 0;
ALTER TABLE tools ADD COLUMN IF NOT EXISTS setup_cost_usd DECIMAL(10,2) DEFAULT 0;
ALTER TABLE tools ADD COLUMN IF NOT EXISTS license_cost_usd DECIMAL(10,2) DEFAULT 0;
ALTER TABLE tools ADD COLUMN IF NOT EXISTS training_cost_usd DECIMAL(10,2) DEFAULT 0;
ALTER TABLE tools ADD COLUMN IF NOT EXISTS total_cost_of_ownership_score INTEGER CHECK (total_cost_of_ownership_score >= 1 AND total_cost_of_ownership_score <= 100);
ALTER TABLE tools ADD COLUMN IF NOT EXISTS price_performance_ratio INTEGER CHECK (price_performance_ratio >= 1 AND price_performance_ratio <= 100);
-- Create index for better performance
CREATE INDEX IF NOT EXISTS idx_tools_price_tier ON tools(price_tier_id);
CREATE INDEX IF NOT EXISTS idx_tools_monthly_cost ON tools(monthly_cost_usd);
-- =====================================================
-- UPDATE TOOLS WITH PRICING DATA
-- =====================================================
-- E-commerce Tools Pricing
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 29.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 200.00,
total_cost_of_ownership_score = 85,
price_performance_ratio = 90
WHERE name = 'Shopify';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Micro Budget'),
monthly_cost_usd = 0.00,
setup_cost_usd = 100.00,
license_cost_usd = 0.00,
training_cost_usd = 150.00,
total_cost_of_ownership_score = 95,
price_performance_ratio = 95
WHERE name = 'WooCommerce';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Growth Stage'),
monthly_cost_usd = 200.00,
setup_cost_usd = 2000.00,
license_cost_usd = 0.00,
training_cost_usd = 500.00,
total_cost_of_ownership_score = 75,
price_performance_ratio = 80
WHERE name = 'Magento';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 39.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 200.00,
total_cost_of_ownership_score = 88,
price_performance_ratio = 85
WHERE name = 'BigCommerce';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 18.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 90,
price_performance_ratio = 88
WHERE name = 'Squarespace Commerce';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Micro Budget'),
monthly_cost_usd = 0.00,
setup_cost_usd = 300.00,
license_cost_usd = 0.00,
training_cost_usd = 200.00,
total_cost_of_ownership_score = 92,
price_performance_ratio = 90
WHERE name = 'PrestaShop';
-- CRM Tools Pricing
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Micro Budget'),
monthly_cost_usd = 0.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 50.00,
total_cost_of_ownership_score = 98,
price_performance_ratio = 95
WHERE name = 'HubSpot CRM';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Scale-Up'),
monthly_cost_usd = 150.00,
setup_cost_usd = 1000.00,
license_cost_usd = 0.00,
training_cost_usd = 800.00,
total_cost_of_ownership_score = 80,
price_performance_ratio = 75
WHERE name = 'Salesforce CRM';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 20.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 200.00,
total_cost_of_ownership_score = 88,
price_performance_ratio = 85
WHERE name = 'Zoho CRM';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 15.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 90,
price_performance_ratio = 88
WHERE name = 'Pipedrive';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 29.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 150.00,
total_cost_of_ownership_score = 85,
price_performance_ratio = 82
WHERE name = 'Freshworks CRM';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 25.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 150.00,
total_cost_of_ownership_score = 87,
price_performance_ratio = 85
WHERE name = 'Monday.com CRM';
-- Analytics Tools Pricing
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Micro Budget'),
monthly_cost_usd = 0.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 50.00,
total_cost_of_ownership_score = 98,
price_performance_ratio = 95
WHERE name = 'Google Analytics';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 25.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 200.00,
total_cost_of_ownership_score = 85,
price_performance_ratio = 80
WHERE name = 'Mixpanel';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 20.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 150.00,
total_cost_of_ownership_score = 88,
price_performance_ratio = 85
WHERE name = 'Amplitude';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 15.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 90,
price_performance_ratio = 88
WHERE name = 'Hotjar';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Growth Stage'),
monthly_cost_usd = 70.00,
setup_cost_usd = 500.00,
license_cost_usd = 0.00,
training_cost_usd = 400.00,
total_cost_of_ownership_score = 80,
price_performance_ratio = 75
WHERE name = 'Tableau';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 10.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 92,
price_performance_ratio = 90
WHERE name = 'Power BI';
-- Payment Processing Tools Pricing
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 0.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 95,
price_performance_ratio = 95
WHERE name = 'Stripe';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Micro Budget'),
monthly_cost_usd = 0.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 50.00,
total_cost_of_ownership_score = 90,
price_performance_ratio = 90
WHERE name = 'PayPal';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 0.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 88,
price_performance_ratio = 85
WHERE name = 'Razorpay';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 0.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 90,
price_performance_ratio = 88
WHERE name = 'Square';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Growth Stage'),
monthly_cost_usd = 0.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 300.00,
total_cost_of_ownership_score = 85,
price_performance_ratio = 80
WHERE name = 'Adyen';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 0.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 200.00,
total_cost_of_ownership_score = 87,
price_performance_ratio = 82
WHERE name = 'Braintree';
-- Communication Tools Pricing
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 8.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 92,
price_performance_ratio = 90
WHERE name = 'Slack';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 6.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 150.00,
total_cost_of_ownership_score = 90,
price_performance_ratio = 88
WHERE name = 'Microsoft Teams';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Micro Budget'),
monthly_cost_usd = 0.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 50.00,
total_cost_of_ownership_score = 95,
price_performance_ratio = 95
WHERE name = 'Discord';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 15.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 88,
price_performance_ratio = 85
WHERE name = 'Zoom';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Micro Budget'),
monthly_cost_usd = 0.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 25.00,
total_cost_of_ownership_score = 95,
price_performance_ratio = 95
WHERE name = 'Telegram';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 10.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 90,
price_performance_ratio = 88
WHERE name = 'WhatsApp Business';
-- Project Management Tools Pricing
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 6.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 90,
price_performance_ratio = 88
WHERE name = 'Trello';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 8.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 200.00,
total_cost_of_ownership_score = 88,
price_performance_ratio = 85
WHERE name = 'Jira';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 11.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 150.00,
total_cost_of_ownership_score = 87,
price_performance_ratio = 85
WHERE name = 'Asana';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 10.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 150.00,
total_cost_of_ownership_score = 88,
price_performance_ratio = 85
WHERE name = 'Monday.com';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 8.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 90,
price_performance_ratio = 88
WHERE name = 'Notion';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 15.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 85,
price_performance_ratio = 82
WHERE name = 'Basecamp';
-- Marketing Tools Pricing
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 0.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 95,
price_performance_ratio = 95
WHERE name = 'Mailchimp';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 20.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 200.00,
total_cost_of_ownership_score = 85,
price_performance_ratio = 80
WHERE name = 'Klaviyo';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 120.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 300.00,
total_cost_of_ownership_score = 75,
price_performance_ratio = 70
WHERE name = 'SEMrush';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 50.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 200.00,
total_cost_of_ownership_score = 80,
price_performance_ratio = 75
WHERE name = 'HubSpot Marketing';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 49.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 150.00,
total_cost_of_ownership_score = 85,
price_performance_ratio = 80
WHERE name = 'Hootsuite';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Micro Budget'),
monthly_cost_usd = 0.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 50.00,
total_cost_of_ownership_score = 95,
price_performance_ratio = 95
WHERE name = 'Canva';
-- Design & Content Creation Tools Pricing
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 12.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 150.00,
total_cost_of_ownership_score = 90,
price_performance_ratio = 88
WHERE name = 'Figma';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 53.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 400.00,
total_cost_of_ownership_score = 80,
price_performance_ratio = 75
WHERE name = 'Adobe Creative Suite';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 9.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 200.00,
total_cost_of_ownership_score = 88,
price_performance_ratio = 85
WHERE name = 'Sketch';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 8.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 150.00,
total_cost_of_ownership_score = 87,
price_performance_ratio = 82
WHERE name = 'InVision';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 10.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 150.00,
total_cost_of_ownership_score = 88,
price_performance_ratio = 85
WHERE name = 'Adobe XD';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 20.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 200.00,
total_cost_of_ownership_score = 85,
price_performance_ratio = 80
WHERE name = 'Framer';
-- Development & DevOps Tools Pricing
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Micro Budget'),
monthly_cost_usd = 0.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 50.00,
total_cost_of_ownership_score = 98,
price_performance_ratio = 95
WHERE name = 'GitHub';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Micro Budget'),
monthly_cost_usd = 0.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 95,
price_performance_ratio = 90
WHERE name = 'GitLab';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Micro Budget'),
monthly_cost_usd = 0.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 90,
price_performance_ratio = 88
WHERE name = 'Bitbucket';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 8.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 200.00,
total_cost_of_ownership_score = 88,
price_performance_ratio = 85
WHERE name = 'Jira Software';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 6.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 150.00,
total_cost_of_ownership_score = 90,
price_performance_ratio = 88
WHERE name = 'Confluence';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Micro Budget'),
monthly_cost_usd = 0.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 200.00,
total_cost_of_ownership_score = 92,
price_performance_ratio = 90
WHERE name = 'Jenkins';
-- Customer Support Tools Pricing
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 19.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 200.00,
total_cost_of_ownership_score = 88,
price_performance_ratio = 85
WHERE name = 'Zendesk';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 39.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 200.00,
total_cost_of_ownership_score = 85,
price_performance_ratio = 80
WHERE name = 'Intercom';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 15.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 150.00,
total_cost_of_ownership_score = 90,
price_performance_ratio = 88
WHERE name = 'Freshdesk';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 20.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 88,
price_performance_ratio = 85
WHERE name = 'Help Scout';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 16.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 87,
price_performance_ratio = 82
WHERE name = 'LiveChat';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 25.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 85,
price_performance_ratio = 80
WHERE name = 'Crisp';
-- Business Intelligence & Reporting Tools Pricing
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Micro Budget'),
monthly_cost_usd = 0.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 95,
price_performance_ratio = 95
WHERE name = 'Google Data Studio';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Growth Stage'),
monthly_cost_usd = 90.00,
setup_cost_usd = 500.00,
license_cost_usd = 0.00,
training_cost_usd = 400.00,
total_cost_of_ownership_score = 80,
price_performance_ratio = 75
WHERE name = 'Looker';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 15.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 200.00,
total_cost_of_ownership_score = 88,
price_performance_ratio = 85
WHERE name = 'Qlik Sense';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Growth Stage'),
monthly_cost_usd = 83.00,
setup_cost_usd = 1000.00,
license_cost_usd = 0.00,
training_cost_usd = 500.00,
total_cost_of_ownership_score = 75,
price_performance_ratio = 70
WHERE name = 'Sisense';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 25.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 200.00,
total_cost_of_ownership_score = 85,
price_performance_ratio = 80
WHERE name = 'Domo';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Micro Budget'),
monthly_cost_usd = 0.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 95,
price_performance_ratio = 90
WHERE name = 'Metabase';
-- Accounting & Finance Tools Pricing
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 15.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 200.00,
total_cost_of_ownership_score = 90,
price_performance_ratio = 88
WHERE name = 'QuickBooks';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 13.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 150.00,
total_cost_of_ownership_score = 92,
price_performance_ratio = 90
WHERE name = 'Xero';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 15.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 100.00,
total_cost_of_ownership_score = 90,
price_performance_ratio = 88
WHERE name = 'FreshBooks';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Micro Budget'),
monthly_cost_usd = 0.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 50.00,
total_cost_of_ownership_score = 98,
price_performance_ratio = 95
WHERE name = 'Wave';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Small Business'),
monthly_cost_usd = 25.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 300.00,
total_cost_of_ownership_score = 85,
price_performance_ratio = 80
WHERE name = 'Sage';
UPDATE tools SET
price_tier_id = (SELECT id FROM price_tiers WHERE tier_name = 'Startup Budget'),
monthly_cost_usd = 15.00,
setup_cost_usd = 0.00,
license_cost_usd = 0.00,
training_cost_usd = 150.00,
total_cost_of_ownership_score = 88,
price_performance_ratio = 85
WHERE name = 'Zoho Books';
-- =====================================================
-- VERIFICATION QUERIES
-- =====================================================
-- Verify tools pricing data
SELECT
t.name,
t.category,
pt.tier_name,
t.monthly_cost_usd,
t.setup_cost_usd,
t.total_cost_of_ownership_score,
t.price_performance_ratio
FROM tools t
LEFT JOIN price_tiers pt ON t.price_tier_id = pt.id
ORDER BY t.monthly_cost_usd DESC, t.name;
-- Summary by price tier
SELECT
pt.tier_name,
COUNT(t.id) as tool_count,
AVG(t.monthly_cost_usd) as avg_monthly_cost,
AVG(t.total_cost_of_ownership_score) as avg_tco_score
FROM price_tiers pt
LEFT JOIN tools t ON pt.id = t.price_tier_id
GROUP BY pt.id, pt.tier_name
ORDER BY pt.min_price_usd;
-- =====================================================
-- MIGRATION COMPLETED
-- =====================================================
-- Migration completed successfully
-- Tools are now connected to price tiers and can be included in budget calculations

View File

@ -0,0 +1,305 @@
#!/bin/bash
# ================================================================================================
# ENHANCED TECH STACK SELECTOR - DOCKER STARTUP SCRIPT
# Optimized for Docker environment with proper service discovery
# ================================================================================================
set -e
# Parse command line arguments
FORCE_MIGRATION=false
if [ "$1" = "--force-migration" ] || [ "$1" = "-f" ]; then
FORCE_MIGRATION=true
echo "🔄 Force migration mode enabled"
elif [ "$1" = "--help" ] || [ "$1" = "-h" ]; then
echo "Usage: $0 [OPTIONS]"
echo ""
echo "Options:"
echo " --force-migration, -f Force re-run all migrations"
echo " --help, -h Show this help message"
echo ""
echo "Examples:"
echo " $0 # Normal startup with auto-migration detection"
echo " $0 --force-migration # Force re-run all migrations"
exit 0
fi
echo "="*60
echo "🚀 ENHANCED TECH STACK SELECTOR v15.0 - DOCKER VERSION"
echo "="*60
echo "✅ PostgreSQL data migrated to Neo4j"
echo "✅ Price-based relationships"
echo "✅ Real data from PostgreSQL"
echo "✅ Comprehensive pricing analysis"
echo "✅ Docker-optimized startup"
echo "="*60
# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
BLUE='\033[0;34m'
NC='\033[0m' # No Color
# Function to print colored output
print_status() {
echo -e "${GREEN}$1${NC}"
}
print_warning() {
echo -e "${YELLOW}⚠️ $1${NC}"
}
print_error() {
echo -e "${RED}$1${NC}"
}
print_info() {
echo -e "${BLUE} $1${NC}"
}
# Get environment variables with defaults
POSTGRES_HOST=${POSTGRES_HOST:-postgres}
POSTGRES_PORT=${POSTGRES_PORT:-5432}
POSTGRES_USER=${POSTGRES_USER:-pipeline_admin}
POSTGRES_PASSWORD=${POSTGRES_PASSWORD:-secure_pipeline_2024}
POSTGRES_DB=${POSTGRES_DB:-dev_pipeline}
NEO4J_URI=${NEO4J_URI:-bolt://neo4j:7687}
NEO4J_USER=${NEO4J_USER:-neo4j}
NEO4J_PASSWORD=${NEO4J_PASSWORD:-password}
CLAUDE_API_KEY=${CLAUDE_API_KEY:-}
print_status "Environment variables loaded"
print_info "PostgreSQL: ${POSTGRES_HOST}:${POSTGRES_PORT}/${POSTGRES_DB}"
print_info "Neo4j: ${NEO4J_URI}"
# Function to wait for service to be ready
wait_for_service() {
local service_name=$1
local host=$2
local port=$3
local max_attempts=30
local attempt=1
print_info "Waiting for ${service_name} to be ready..."
while [ $attempt -le $max_attempts ]; do
if nc -z $host $port 2>/dev/null; then
print_status "${service_name} is ready!"
return 0
fi
print_info "Attempt ${attempt}/${max_attempts}: ${service_name} not ready yet, waiting 2 seconds..."
sleep 2
attempt=$((attempt + 1))
done
print_error "${service_name} failed to become ready after ${max_attempts} attempts"
return 1
}
# Wait for PostgreSQL
if ! wait_for_service "PostgreSQL" $POSTGRES_HOST $POSTGRES_PORT; then
exit 1
fi
# Wait for Neo4j
if ! wait_for_service "Neo4j" neo4j 7687; then
exit 1
fi
# Function to check if database needs migration
check_database_migration() {
print_info "Checking if database needs migration..."
# Check if price_tiers table exists and has data
if ! python3 -c "
import psycopg2
import os
try:
conn = psycopg2.connect(
host=os.getenv('POSTGRES_HOST', 'postgres'),
port=int(os.getenv('POSTGRES_PORT', '5432')),
user=os.getenv('POSTGRES_USER', 'pipeline_admin'),
password=os.getenv('POSTGRES_PASSWORD', 'secure_pipeline_2024'),
database=os.getenv('POSTGRES_DB', 'dev_pipeline')
)
cursor = conn.cursor()
# Check if price_tiers table exists
cursor.execute(\"\"\"
SELECT EXISTS (
SELECT FROM information_schema.tables
WHERE table_schema = 'public'
AND table_name = 'price_tiers'
);
\"\"\")
table_exists = cursor.fetchone()[0]
if not table_exists:
print('price_tiers table does not exist - migration needed')
exit(1)
# Check if price_tiers has data
cursor.execute('SELECT COUNT(*) FROM price_tiers;')
count = cursor.fetchone()[0]
if count == 0:
print('price_tiers table is empty - migration needed')
exit(1)
# Check if stack_recommendations has sufficient data
cursor.execute('SELECT COUNT(*) FROM stack_recommendations;')
rec_count = cursor.fetchone()[0]
if rec_count < 20: # Reduced threshold for Docker environment
print(f'stack_recommendations has only {rec_count} records - migration needed')
exit(1)
print('Database appears to be fully migrated')
cursor.close()
conn.close()
except Exception as e:
print(f'Error checking database: {e}')
exit(1)
" 2>/dev/null; then
return 1 # Migration needed
else
return 0 # Migration not needed
fi
}
# Function to run PostgreSQL migrations
run_postgres_migrations() {
print_info "Running PostgreSQL migrations..."
# Migration files in order
migration_files=(
"db/001_schema.sql"
"db/002_tools_migration.sql"
"db/003_tools_pricing_migration.sql"
)
# Set PGPASSWORD to avoid password prompts
export PGPASSWORD="$POSTGRES_PASSWORD"
for migration_file in "${migration_files[@]}"; do
if [ ! -f "$migration_file" ]; then
print_error "Migration file not found: $migration_file"
exit 1
fi
print_info "Running migration: $migration_file"
# Run migration with error handling
if psql -h $POSTGRES_HOST -p $POSTGRES_PORT -U $POSTGRES_USER -d $POSTGRES_DB -f "$migration_file" -q 2>/dev/null; then
print_status "Migration completed: $migration_file"
else
print_error "Migration failed: $migration_file"
print_info "Check the error logs above for details"
exit 1
fi
done
# Unset password
unset PGPASSWORD
print_status "All PostgreSQL migrations completed successfully"
}
# Check if migration is needed and run if necessary
if [ "$FORCE_MIGRATION" = true ]; then
print_warning "Force migration enabled - running migrations..."
run_postgres_migrations
# Verify migration was successful
print_info "Verifying migration..."
if check_database_migration; then
print_status "Migration verification successful"
else
print_error "Migration verification failed"
exit 1
fi
elif check_database_migration; then
print_status "Database is already migrated"
else
print_warning "Database needs migration - running migrations..."
run_postgres_migrations
# Verify migration was successful
print_info "Verifying migration..."
if check_database_migration; then
print_status "Migration verification successful"
else
print_error "Migration verification failed"
exit 1
fi
fi
# Check if Neo4j migration has been run
print_info "Checking if Neo4j migration has been completed..."
if ! python3 -c "
from neo4j import GraphDatabase
import os
try:
driver = GraphDatabase.driver(
os.getenv('NEO4J_URI', 'bolt://neo4j:7687'),
auth=(os.getenv('NEO4J_USER', 'neo4j'), os.getenv('NEO4J_PASSWORD', 'password'))
)
with driver.session() as session:
result = session.run('MATCH (p:PriceTier) RETURN count(p) as count')
price_tiers = result.single()['count']
if price_tiers == 0:
print('No data found in Neo4j - migration needed')
exit(1)
else:
print(f'Found {price_tiers} price tiers - migration appears complete')
driver.close()
except Exception as e:
print(f'Error checking migration status: {e}')
exit(1)
" 2>/dev/null; then
print_warning "No data found in Neo4j - running migration..."
# Run migration
if python3 migrate_postgres_to_neo4j.py; then
print_status "Migration completed successfully"
else
print_error "Migration failed"
exit 1
fi
else
print_status "Migration appears to be complete"
fi
# Set environment variables for the application
export NEO4J_URI="$NEO4J_URI"
export NEO4J_USER="$NEO4J_USER"
export NEO4J_PASSWORD="$NEO4J_PASSWORD"
export POSTGRES_HOST="$POSTGRES_HOST"
export POSTGRES_PORT="$POSTGRES_PORT"
export POSTGRES_USER="$POSTGRES_USER"
export POSTGRES_PASSWORD="$POSTGRES_PASSWORD"
export POSTGRES_DB="$POSTGRES_DB"
export CLAUDE_API_KEY="$CLAUDE_API_KEY"
print_status "Environment variables set"
# Create logs directory if it doesn't exist
mkdir -p logs
# Start the migrated application
print_info "Starting Enhanced Tech Stack Selector (Docker Version)..."
print_info "Server will be available at: http://localhost:8002"
print_info "API documentation: http://localhost:8002/docs"
print_info "Health check: http://localhost:8002/health"
print_info "Diagnostics: http://localhost:8002/api/diagnostics"
print_info ""
print_info "Press Ctrl+C to stop the server"
print_info ""
# Start the application
cd src
python3 main_migrated.py

View File

@ -0,0 +1,232 @@
#!/usr/bin/env python3
"""
PostgreSQL to Neo4j Migration Script
Migrates existing PostgreSQL data to Neo4j with proper price-based relationships
"""
import os
import sys
import subprocess
from loguru import logger
def run_migration():
"""Run the complete migration process"""
logger.info("="*60)
logger.info("🚀 POSTGRESQL TO NEO4J MIGRATION")
logger.info("="*60)
logger.info("✅ Using existing PostgreSQL data")
logger.info("✅ Creating price-based relationships")
logger.info("✅ Migrating to Neo4j knowledge graph")
logger.info("="*60)
# Get environment variables with defaults
postgres_host = os.getenv("POSTGRES_HOST", "postgres")
postgres_port = int(os.getenv("POSTGRES_PORT", "5432"))
postgres_user = os.getenv("POSTGRES_USER", "pipeline_admin")
postgres_password = os.getenv("POSTGRES_PASSWORD", "secure_pipeline_2024")
postgres_db = os.getenv("POSTGRES_DB", "dev_pipeline")
neo4j_uri = os.getenv("NEO4J_URI", "bolt://neo4j:7687")
neo4j_user = os.getenv("NEO4J_USER", "neo4j")
neo4j_password = os.getenv("NEO4J_PASSWORD", "password")
# Check if PostgreSQL is running
logger.info("🔍 Checking PostgreSQL connection...")
try:
import psycopg2
conn = psycopg2.connect(
host=postgres_host,
port=postgres_port,
user=postgres_user,
password=postgres_password,
database=postgres_db
)
conn.close()
logger.info("✅ PostgreSQL is running and accessible")
except Exception as e:
logger.error(f"❌ PostgreSQL connection failed: {e}")
logger.error("Please ensure PostgreSQL is running and the database is set up")
return False
# Check if Neo4j is running
logger.info("🔍 Checking Neo4j connection...")
try:
from neo4j import GraphDatabase
driver = GraphDatabase.driver(neo4j_uri, auth=(neo4j_user, neo4j_password))
driver.verify_connectivity()
driver.close()
logger.info("✅ Neo4j is running and accessible")
except Exception as e:
logger.error(f"❌ Neo4j connection failed: {e}")
logger.error("Please ensure Neo4j is running")
return False
# Set up Neo4j schema
logger.info("🔧 Setting up Neo4j schema...")
try:
from neo4j import GraphDatabase
driver = GraphDatabase.driver(neo4j_uri, auth=(neo4j_user, neo4j_password))
with driver.session() as session:
# Read and execute the schema file
with open("Neo4j_From_Postgres.cql", 'r') as f:
cql_content = f.read()
# Split by semicolon and execute each statement
statements = [stmt.strip() for stmt in cql_content.split(';') if stmt.strip()]
for i, statement in enumerate(statements):
if statement and not statement.startswith('//'):
try:
session.run(statement)
logger.info(f"✅ Executed schema statement {i+1}/{len(statements)}")
except Exception as e:
logger.warning(f"⚠️ Schema statement {i+1} failed: {e}")
continue
driver.close()
logger.info("✅ Neo4j schema setup completed")
except Exception as e:
logger.error(f"❌ Neo4j schema setup failed: {e}")
return False
# Run the migration
logger.info("🔄 Running PostgreSQL to Neo4j migration...")
try:
# Add src to path
sys.path.append('src')
from postgres_to_neo4j_migration import PostgresToNeo4jMigration
# Configuration
postgres_config = {
"host": postgres_host,
"port": postgres_port,
"user": postgres_user,
"password": postgres_password,
"database": postgres_db
}
neo4j_config = {
"uri": neo4j_uri,
"user": neo4j_user,
"password": neo4j_password
}
# Run migration
migration = PostgresToNeo4jMigration(postgres_config, neo4j_config)
success = migration.run_full_migration()
if success:
logger.info("✅ Migration completed successfully!")
return True
else:
logger.error("❌ Migration failed!")
return False
except Exception as e:
logger.error(f"❌ Migration failed: {e}")
return False
def test_migrated_data():
"""Test the migrated data"""
logger.info("🧪 Testing migrated data...")
try:
from neo4j import GraphDatabase
driver = GraphDatabase.driver(neo4j_uri, auth=(neo4j_user, neo4j_password))
with driver.session() as session:
# Test price tiers
result = session.run("MATCH (p:PriceTier) RETURN count(p) as count")
price_tiers_count = result.single()["count"]
logger.info(f"✅ Price tiers: {price_tiers_count}")
# Test technologies
result = session.run("MATCH (t:Technology) RETURN count(t) as count")
technologies_count = result.single()["count"]
logger.info(f"✅ Technologies: {technologies_count}")
# Test tools
result = session.run("MATCH (tool:Tool) RETURN count(tool) as count")
tools_count = result.single()["count"]
logger.info(f"✅ Tools: {tools_count}")
# Test tech stacks
result = session.run("MATCH (s:TechStack) RETURN count(s) as count")
stacks_count = result.single()["count"]
logger.info(f"✅ Tech stacks: {stacks_count}")
# Test relationships
result = session.run("MATCH ()-[r]->() RETURN count(r) as count")
relationships_count = result.single()["count"]
logger.info(f"✅ Relationships: {relationships_count}")
# Test complete stacks
result = session.run("""
MATCH (s:TechStack)
WHERE exists((s)-[:BELONGS_TO_TIER]->())
AND exists((s)-[:USES_FRONTEND]->())
AND exists((s)-[:USES_BACKEND]->())
AND exists((s)-[:USES_DATABASE]->())
AND exists((s)-[:USES_CLOUD]->())
RETURN count(s) as count
""")
complete_stacks_count = result.single()["count"]
logger.info(f"✅ Complete stacks: {complete_stacks_count}")
driver.close()
logger.info("✅ Data validation completed successfully!")
return True
except Exception as e:
logger.error(f"❌ Data validation failed: {e}")
return False
def start_migrated_service():
"""Start the migrated service"""
logger.info("🚀 Starting migrated service...")
try:
# Set environment variables
os.environ["NEO4J_URI"] = neo4j_uri
os.environ["NEO4J_USER"] = neo4j_user
os.environ["NEO4J_PASSWORD"] = neo4j_password
os.environ["POSTGRES_HOST"] = postgres_host
os.environ["POSTGRES_PORT"] = str(postgres_port)
os.environ["POSTGRES_USER"] = postgres_user
os.environ["POSTGRES_PASSWORD"] = postgres_password
os.environ["POSTGRES_DB"] = postgres_db
os.environ["CLAUDE_API_KEY"] = "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"
# Start the service
subprocess.run([
sys.executable, "src/main_migrated.py"
])
except Exception as e:
logger.error(f"❌ Failed to start migrated service: {e}")
if __name__ == "__main__":
# Run migration
if run_migration():
logger.info("✅ Migration completed successfully!")
# Test migrated data
if test_migrated_data():
logger.info("✅ Data validation passed!")
# Ask user if they want to start the service
response = input("\n🚀 Start the migrated service? (y/n): ")
if response.lower() in ['y', 'yes']:
start_migrated_service()
else:
logger.info("✅ Migration completed. You can start the service later with:")
logger.info(" python src/main_migrated.py")
else:
logger.error("❌ Data validation failed!")
sys.exit(1)
else:
logger.error("❌ Migration failed!")
sys.exit(1)

File diff suppressed because it is too large Load Diff

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@ -38,3 +38,5 @@ yarl>=1.9.0
six>=1.16.0
pytz>=2023.3
greenlet>=3.0.0
psycopg2-binary==2.9.9
neo4j>=5.0.0

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@ -1,944 +0,0 @@
# import os
# import sys
# import json
# from datetime import datetime
# from typing import Dict, Any, Optional, List
# from pydantic import BaseModel
# from fastapi import FastAPI, HTTPException, Request
# from fastapi.middleware.cors import CORSMiddleware
# from loguru import logger
# # AI integration
# try:
# import anthropic
# CLAUDE_AVAILABLE = True
# except ImportError:
# CLAUDE_AVAILABLE = False
# # Configure logging
# logger.remove()
# logger.add(sys.stdout, level="INFO", format="{time} | {level} | {message}")
# # API Key
# CLAUDE_API_KEY = "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"
# if not os.getenv("CLAUDE_API_KEY") and CLAUDE_API_KEY:
# os.environ["CLAUDE_API_KEY"] = CLAUDE_API_KEY
# # ================================================================================================
# # ENHANCED TECH STACK SELECTOR - WITH FUNCTIONAL REQUIREMENTS DISPLAY
# # ================================================================================================
# class EnhancedTechStackSelector:
# """Enhanced selector that handles business context + functional requirements"""
# def __init__(self):
# self.claude_client = anthropic.Anthropic(api_key=CLAUDE_API_KEY) if CLAUDE_AVAILABLE else None
# logger.info("Enhanced Tech Stack Selector initialized")
# # ================================================================================================
# # FASTAPI APPLICATION
# # ================================================================================================
# app = FastAPI(
# title="Enhanced Tech Stack Selector",
# description="Enhanced tech stack recommendations with functional requirements display",
# version="11.0.0"
# )
# app.add_middleware(
# CORSMiddleware,
# allow_origins=["*"],
# allow_credentials=True,
# allow_methods=["*"],
# allow_headers=["*"],
# )
# # Initialize enhanced selector
# enhanced_selector = EnhancedTechStackSelector()
# @app.get("/health")
# async def health_check():
# """Health check"""
# return {
# "status": "healthy",
# "service": "enhanced-tech-stack-selector",
# "version": "11.0.0",
# "approach": "functional_requirements_aware_recommendations"
# }
# @app.post("/api/v1/select")
# async def select_enhanced_tech_stack(request: Request):
# """ENHANCED VERSION - Shows functional requirements + tech recommendations for architecture-designer"""
# try:
# request_data = await request.json()
# # Log exactly what we receive
# logger.info("=== RECEIVED ENHANCED DATA START ===")
# logger.info(json.dumps(request_data, indent=2, default=str))
# logger.info("=== RECEIVED ENHANCED DATA END ===")
# # Extract enhanced data components
# extracted_data = extract_enhanced_data(request_data)
# if not extracted_data["features"] and not extracted_data["feature_name"]:
# logger.error("❌ NO FEATURES OR FEATURE DATA FOUND")
# return {
# "error": "No features or feature data found in request",
# "received_data_keys": list(request_data.keys()) if isinstance(request_data, dict) else "not_dict",
# "extraction_attempted": "enhanced_data_extraction"
# }
# # Build comprehensive context for Claude
# context = build_comprehensive_context(extracted_data)
# # Generate enhanced tech stack recommendations
# recommendations = await generate_enhanced_recommendations(context)
# # NEW: Build complete response with functional requirements for architecture-designer
# complete_response = {
# "success": True,
# "enhanced_analysis": True,
# # PROJECT CONTEXT - For Web Dashboard Display
# "project_context": {
# "project_name": extracted_data["project_name"],
# "project_type": extracted_data["project_type"],
# "features_analyzed": len(extracted_data["features"]),
# "business_questions_answered": len(extracted_data["business_answers"]),
# "complexity": extracted_data["complexity"]
# },
# # FUNCTIONAL REQUIREMENTS - For Web Dashboard Display & Architecture Designer
# "functional_requirements": {
# "feature_name": extracted_data["feature_name"],
# "description": extracted_data["description"],
# "technical_requirements": extracted_data["requirements"],
# "business_logic_rules": extracted_data["logic_rules"],
# "complexity_level": extracted_data["complexity"],
# "all_features": extracted_data["features"],
# "business_context": {
# "questions": extracted_data["business_questions"],
# "answers": extracted_data["business_answers"]
# }
# },
# # TECHNOLOGY RECOMMENDATIONS - Claude Generated
# "claude_recommendations": recommendations,
# # COMPLETE DATA FOR ARCHITECTURE DESIGNER
# "architecture_designer_input": {
# "project_data": {
# "project_name": extracted_data["project_name"],
# "project_type": extracted_data["project_type"],
# "complexity": extracted_data["complexity"]
# },
# "functional_specifications": {
# "primary_feature": {
# "name": extracted_data["feature_name"],
# "description": extracted_data["description"],
# "requirements": extracted_data["requirements"],
# "logic_rules": extracted_data["logic_rules"]
# },
# "all_features": extracted_data["features"],
# "business_context": extracted_data["business_answers"]
# },
# "technology_stack": recommendations,
# "business_requirements": context["business_context"]
# },
# "analysis_timestamp": datetime.utcnow().isoformat(),
# "ready_for_architecture_design": True
# }
# logger.info(f"✅ Enhanced tech stack analysis completed with functional requirements")
# logger.info(f" Feature: {extracted_data['feature_name']}")
# logger.info(f" Requirements: {len(extracted_data['requirements'])}")
# logger.info(f" Logic Rules: {len(extracted_data['logic_rules'])}")
# logger.info(f" Business Answers: {len(extracted_data['business_answers'])}")
# return complete_response
# except Exception as e:
# logger.error(f"💥 ERROR in enhanced tech stack selection: {e}")
# return {
# "error": str(e),
# "debug": "Check service logs for detailed error information"
# }
# def extract_enhanced_data(request_data: Dict) -> Dict:
# """Extract enhanced data from web dashboard request"""
# extracted = {
# "project_name": "Unknown Project",
# "project_type": "unknown",
# "feature_name": "",
# "description": "",
# "requirements": [],
# "complexity": "medium",
# "logic_rules": [],
# "business_questions": [],
# "business_answers": [],
# "features": [],
# "all_features": []
# }
# logger.info("🔍 Extracting enhanced data with functional requirements...")
# # Path 1: Direct enhanced data format from web dashboard
# if isinstance(request_data, dict):
# # Extract main feature data
# extracted["feature_name"] = request_data.get("featureName", "")
# extracted["description"] = request_data.get("description", "")
# extracted["requirements"] = request_data.get("requirements", [])
# extracted["complexity"] = request_data.get("complexity", "medium")
# extracted["logic_rules"] = request_data.get("logicRules", [])
# extracted["business_questions"] = request_data.get("businessQuestions", [])
# extracted["business_answers"] = request_data.get("businessAnswers", [])
# extracted["project_name"] = request_data.get("projectName", "Unknown Project")
# extracted["project_type"] = request_data.get("projectType", "unknown")
# extracted["all_features"] = request_data.get("allFeatures", [])
# # If we have business answers in object format, convert to list
# if isinstance(extracted["business_answers"], dict):
# ba_list = []
# for key, value in extracted["business_answers"].items():
# if isinstance(value, str) and value.strip():
# question_idx = int(key) if key.isdigit() else 0
# if question_idx < len(extracted["business_questions"]):
# ba_list.append({
# "question": extracted["business_questions"][question_idx],
# "answer": value.strip()
# })
# extracted["business_answers"] = ba_list
# # Extract features list
# if extracted["feature_name"]:
# extracted["features"] = [extracted["feature_name"]]
# # Add all features if available
# if extracted["all_features"]:
# feature_names = []
# for feature in extracted["all_features"]:
# if isinstance(feature, dict):
# feature_names.append(feature.get("name", feature.get("featureName", "")))
# else:
# feature_names.append(str(feature))
# extracted["features"].extend([f for f in feature_names if f])
# logger.info(f"✅ Extracted enhanced data with functional requirements:")
# logger.info(f" Project: {extracted['project_name']} ({extracted['project_type']})")
# logger.info(f" Main feature: {extracted['feature_name']}")
# logger.info(f" Requirements: {len(extracted['requirements'])}")
# logger.info(f" Logic Rules: {len(extracted['logic_rules'])}")
# logger.info(f" Complexity: {extracted['complexity']}")
# logger.info(f" Business answers: {len(extracted['business_answers'])}")
# logger.info(f" Total features: {len(extracted['features'])}")
# return extracted
# def build_comprehensive_context(extracted_data: Dict) -> Dict:
# """Build comprehensive context for Claude analysis"""
# # Combine all requirements and business insights
# functional_requirements = []
# if extracted_data["feature_name"]:
# functional_requirements.append(f"Core Feature: {extracted_data['feature_name']}")
# if extracted_data["requirements"]:
# functional_requirements.extend([f"• {req}" for req in extracted_data["requirements"]])
# if extracted_data["features"]:
# for feature in extracted_data["features"]:
# if feature and feature != extracted_data["feature_name"]:
# functional_requirements.append(f"• {feature}")
# # Business context from answers
# business_context = {}
# if extracted_data["business_answers"]:
# for answer_data in extracted_data["business_answers"]:
# if isinstance(answer_data, dict):
# question = answer_data.get("question", "")
# answer = answer_data.get("answer", "")
# if question and answer:
# # Categorize business answers
# if any(keyword in question.lower() for keyword in ["user", "scale", "concurrent"]):
# business_context["scale_requirements"] = business_context.get("scale_requirements", [])
# business_context["scale_requirements"].append(f"{question}: {answer}")
# elif any(keyword in question.lower() for keyword in ["compliance", "security", "encryption"]):
# business_context["security_requirements"] = business_context.get("security_requirements", [])
# business_context["security_requirements"].append(f"{question}: {answer}")
# elif any(keyword in question.lower() for keyword in ["budget", "timeline", "timeline"]):
# business_context["project_constraints"] = business_context.get("project_constraints", [])
# business_context["project_constraints"].append(f"{question}: {answer}")
# else:
# business_context["other_requirements"] = business_context.get("other_requirements", [])
# business_context["other_requirements"].append(f"{question}: {answer}")
# return {
# "project_name": extracted_data["project_name"],
# "project_type": extracted_data["project_type"],
# "complexity": extracted_data["complexity"],
# "functional_requirements": functional_requirements,
# "business_context": business_context,
# "logic_rules": extracted_data["logic_rules"]
# }
# async def generate_enhanced_recommendations(context: Dict) -> Dict:
# """Generate enhanced tech stack recommendations using Claude with business context"""
# if not enhanced_selector.claude_client:
# logger.error("❌ Claude client not available")
# return {
# "error": "Claude AI not available",
# "fallback": "Basic recommendations would go here"
# }
# # Build comprehensive prompt with business context
# functional_reqs_text = "\n".join(context["functional_requirements"])
# business_context_text = ""
# for category, requirements in context["business_context"].items():
# business_context_text += f"\n{category.replace('_', ' ').title()}:\n"
# business_context_text += "\n".join([f" - {req}" for req in requirements]) + "\n"
# logic_rules_text = "\n".join([f" - {rule}" for rule in context["logic_rules"]])
# prompt = f"""You are a senior software architect. Analyze this comprehensive project context and recommend the optimal technology stack.
# PROJECT CONTEXT:
# - Name: {context["project_name"]}
# - Type: {context["project_type"]}
# - Complexity: {context["complexity"]}
# FUNCTIONAL REQUIREMENTS:
# {functional_reqs_text}
# BUSINESS CONTEXT & CONSTRAINTS:
# {business_context_text}
# BUSINESS LOGIC RULES:
# {logic_rules_text}
# Based on this comprehensive analysis, provide detailed technology recommendations as a JSON object:
# {{
# "technology_recommendations": {{
# "frontend": {{
# "framework": "recommended framework",
# "libraries": ["lib1", "lib2", "lib3"],
# "reasoning": "detailed reasoning based on requirements and business context"
# }},
# "backend": {{
# "framework": "recommended backend framework",
# "language": "programming language",
# "libraries": ["lib1", "lib2", "lib3"],
# "reasoning": "detailed reasoning based on complexity and business needs"
# }},
# "database": {{
# "primary": "primary database choice",
# "secondary": ["cache", "search", "analytics"],
# "reasoning": "database choice based on data requirements and scale"
# }},
# "infrastructure": {{
# "cloud_provider": "recommended cloud provider",
# "orchestration": "container/orchestration choice",
# "services": ["service1", "service2", "service3"],
# "reasoning": "infrastructure reasoning based on scale and budget"
# }},
# "security": {{
# "authentication": "auth strategy",
# "authorization": "authorization approach",
# "data_protection": "data protection measures",
# "compliance": "compliance approach",
# "reasoning": "security reasoning based on business context"
# }},
# "third_party_services": {{
# "communication": "communication services",
# "monitoring": "monitoring solution",
# "payment": "payment processing",
# "other_services": ["service1", "service2"],
# "reasoning": "third-party service reasoning"
# }}
# }},
# "implementation_strategy": {{
# "architecture_pattern": "recommended architecture pattern",
# "development_phases": ["phase1", "phase2", "phase3"],
# "deployment_strategy": "deployment approach",
# "scalability_approach": "scalability strategy",
# "timeline_estimate": "development timeline estimate"
# }},
# "business_alignment": {{
# "addresses_scale_requirements": "how recommendations address scale needs",
# "addresses_security_requirements": "how recommendations address security needs",
# "addresses_budget_constraints": "how recommendations fit budget",
# "addresses_timeline_constraints": "how recommendations fit timeline",
# "compliance_considerations": "compliance alignment"
# }}
# }}
# CRITICAL: Return ONLY valid JSON, no additional text. Base all recommendations on the provided functional requirements and business context."""
# try:
# logger.info("📞 Calling Claude for enhanced recommendations with functional requirements...")
# message = enhanced_selector.claude_client.messages.create(
# model="claude-3-5-sonnet-20241022",
# max_tokens=8000,
# temperature=0.1,
# messages=[{"role": "user", "content": prompt}]
# )
# claude_response = message.content[0].text.strip()
# logger.info("✅ Received Claude response for enhanced recommendations")
# # Parse JSON response
# try:
# recommendations = json.loads(claude_response)
# logger.info("✅ Successfully parsed enhanced recommendations JSON")
# return recommendations
# except json.JSONDecodeError as e:
# logger.error(f"❌ JSON parse error: {e}")
# return {
# "parse_error": str(e),
# "raw_response": claude_response[:1000] + "..." if len(claude_response) > 1000 else claude_response
# }
# except Exception as e:
# logger.error(f"❌ Claude API error: {e}")
# return {
# "error": str(e),
# "fallback": "Enhanced recommendations generation failed"
# }
# if __name__ == "__main__":
# import uvicorn
# logger.info("="*60)
# logger.info("🚀 ENHANCED TECH STACK SELECTOR v11.0 - FUNCTIONAL REQUIREMENTS AWARE")
# logger.info("="*60)
# logger.info("✅ Enhanced data extraction from web dashboard")
# logger.info("✅ Functional requirements display")
# logger.info("✅ Business context analysis")
# logger.info("✅ Complete data for architecture-designer")
# logger.info("✅ Comprehensive Claude recommendations")
# logger.info("="*60)
# uvicorn.run("main:app", host="0.0.0.0", port=8002, log_level="info")
# ENHANCED TECH STACK SELECTOR - SHOWS FUNCTIONAL REQUIREMENTS + TECH RECOMMENDATIONS
# Now includes requirement-processor data in output for architecture-designer
# ENHANCED: Added tagged rules support while preserving ALL working functionality
import os
import sys
import json
from datetime import datetime
from typing import Dict, Any, Optional, List
from pydantic import BaseModel
from fastapi import FastAPI, HTTPException, Request
from fastapi.middleware.cors import CORSMiddleware
from loguru import logger
# AI integration
try:
import anthropic
CLAUDE_AVAILABLE = True
except ImportError:
CLAUDE_AVAILABLE = False
# Configure logging
logger.remove()
logger.add(sys.stdout, level="INFO", format="{time} | {level} | {message}")
# API Key
CLAUDE_API_KEY = "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"
if not os.getenv("CLAUDE_API_KEY") and CLAUDE_API_KEY:
os.environ["CLAUDE_API_KEY"] = CLAUDE_API_KEY
# ================================================================================================
# ENHANCED TECH STACK SELECTOR - WITH FUNCTIONAL REQUIREMENTS DISPLAY
# ================================================================================================
class EnhancedTechStackSelector:
"""Enhanced selector that handles business context + functional requirements"""
def __init__(self):
self.claude_client = anthropic.Anthropic(api_key=CLAUDE_API_KEY) if CLAUDE_AVAILABLE else None
logger.info("Enhanced Tech Stack Selector initialized")
# ================================================================================================
# FASTAPI APPLICATION
# ================================================================================================
app = FastAPI(
title="Enhanced Tech Stack Selector",
description="Enhanced tech stack recommendations with functional requirements display",
version="11.1.0"
)
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# Initialize enhanced selector
enhanced_selector = EnhancedTechStackSelector()
@app.get("/health")
async def health_check():
"""Health check"""
return {
"status": "healthy",
"service": "enhanced-tech-stack-selector",
"version": "11.1.0",
"approach": "functional_requirements_aware_recommendations",
"new_features": ["tagged_rules_support"]
}
@app.post("/api/v1/select")
async def select_enhanced_tech_stack(request: Request):
"""ENHANCED VERSION - Shows functional requirements + tech recommendations for architecture-designer"""
try:
request_data = await request.json()
# Log exactly what we receive
logger.info("=== RECEIVED ENHANCED DATA START ===")
logger.info(json.dumps(request_data, indent=2, default=str))
logger.info("=== RECEIVED ENHANCED DATA END ===")
# Extract enhanced data components - ENHANCED with tagged rules
extracted_data = extract_enhanced_data(request_data)
if not extracted_data["features"] and not extracted_data["feature_name"]:
logger.error("❌ NO FEATURES OR FEATURE DATA FOUND")
return {
"error": "No features or feature data found in request",
"received_data_keys": list(request_data.keys()) if isinstance(request_data, dict) else "not_dict",
"extraction_attempted": "enhanced_data_extraction"
}
# Build comprehensive context for Claude - ENHANCED with tagged rules
context = build_comprehensive_context(extracted_data)
# Generate enhanced tech stack recommendations - SAME working logic
recommendations = await generate_enhanced_recommendations(context)
# NEW: Build complete response with functional requirements for architecture-designer - ENHANCED
complete_response = {
"success": True,
"enhanced_analysis": True,
# PROJECT CONTEXT - For Web Dashboard Display
"project_context": {
"project_name": extracted_data["project_name"],
"project_type": extracted_data["project_type"],
"features_analyzed": len(extracted_data["features"]),
"business_questions_answered": len(extracted_data["business_answers"]),
"complexity": extracted_data["complexity"],
# NEW: Tagged rules info
"detailed_requirements_count": len(extracted_data.get("detailed_requirements", [])),
"total_tagged_rules": extracted_data.get("total_tagged_rules", 0)
},
# FUNCTIONAL REQUIREMENTS - For Web Dashboard Display & Architecture Designer - ENHANCED
"functional_requirements": {
"feature_name": extracted_data["feature_name"],
"description": extracted_data["description"],
"technical_requirements": extracted_data["requirements"],
"business_logic_rules": extracted_data["logic_rules"],
"complexity_level": extracted_data["complexity"],
"all_features": extracted_data["features"],
# NEW: Tagged rules data
"detailed_requirements": extracted_data.get("detailed_requirements", []),
"tagged_rules": extracted_data.get("tagged_rules", []),
"business_context": {
"questions": extracted_data["business_questions"],
"answers": extracted_data["business_answers"]
}
},
# TECHNOLOGY RECOMMENDATIONS - Claude Generated - SAME working logic
"claude_recommendations": recommendations,
# COMPLETE DATA FOR ARCHITECTURE DESIGNER - ENHANCED
"architecture_designer_input": {
"project_data": {
"project_name": extracted_data["project_name"],
"project_type": extracted_data["project_type"],
"complexity": extracted_data["complexity"]
},
"functional_specifications": {
"primary_feature": {
"name": extracted_data["feature_name"],
"description": extracted_data["description"],
"requirements": extracted_data["requirements"],
"logic_rules": extracted_data["logic_rules"]
},
"all_features": extracted_data["features"],
# NEW: Tagged rules for architecture designer
"detailed_requirements": extracted_data.get("detailed_requirements", []),
"tagged_rules": extracted_data.get("tagged_rules", []),
"business_context": extracted_data["business_answers"]
},
"technology_stack": recommendations,
"business_requirements": context["business_context"]
},
"analysis_timestamp": datetime.utcnow().isoformat(),
"ready_for_architecture_design": True
}
logger.info(f"✅ Enhanced tech stack analysis completed with functional requirements")
logger.info(f" Feature: {extracted_data['feature_name']}")
logger.info(f" Requirements: {len(extracted_data['requirements'])}")
logger.info(f" Logic Rules: {len(extracted_data['logic_rules'])}")
logger.info(f" Business Answers: {len(extracted_data['business_answers'])}")
# NEW: Tagged rules logging
logger.info(f" Detailed Requirements: {len(extracted_data.get('detailed_requirements', []))}")
logger.info(f" Tagged Rules: {extracted_data.get('total_tagged_rules', 0)}")
return complete_response
except Exception as e:
logger.error(f"💥 ERROR in enhanced tech stack selection: {e}")
return {
"error": str(e),
"debug": "Check service logs for detailed error information"
}
def extract_enhanced_data(request_data: Dict) -> Dict:
"""Extract enhanced data from web dashboard request - ENHANCED with tagged rules support"""
extracted = {
"project_name": "Unknown Project",
"project_type": "unknown",
"feature_name": "",
"description": "",
"requirements": [],
"complexity": "medium",
"logic_rules": [],
"business_questions": [],
"business_answers": [],
"features": [],
"all_features": [],
# NEW: Tagged rules support
"detailed_requirements": [],
"tagged_rules": [],
"total_tagged_rules": 0
}
logger.info("🔍 Extracting enhanced data with functional requirements and tagged rules...")
# Path 1: Direct enhanced data format from web dashboard - SAME working logic
if isinstance(request_data, dict):
# Extract main feature data - SAME as before
extracted["feature_name"] = request_data.get("featureName", "")
extracted["description"] = request_data.get("description", "")
extracted["requirements"] = request_data.get("requirements", [])
extracted["complexity"] = request_data.get("complexity", "medium")
extracted["logic_rules"] = request_data.get("logicRules", [])
extracted["business_questions"] = request_data.get("businessQuestions", [])
extracted["business_answers"] = request_data.get("businessAnswers", [])
extracted["project_name"] = request_data.get("projectName", "Unknown Project")
extracted["project_type"] = request_data.get("projectType", "unknown")
extracted["all_features"] = request_data.get("allFeatures", [])
# If we have business answers in object format, convert to list - SAME as before
if isinstance(extracted["business_answers"], dict):
ba_list = []
for key, value in extracted["business_answers"].items():
if isinstance(value, str) and value.strip():
question_idx = int(key) if key.isdigit() else 0
if question_idx < len(extracted["business_questions"]):
ba_list.append({
"question": extracted["business_questions"][question_idx],
"answer": value.strip()
})
extracted["business_answers"] = ba_list
# Extract features list - SAME as before
if extracted["feature_name"]:
extracted["features"] = [extracted["feature_name"]]
# Add all features if available - ENHANCED with tagged rules extraction
if extracted["all_features"]:
feature_names = []
for feature in extracted["all_features"]:
if isinstance(feature, dict):
feature_name = feature.get("name", feature.get("featureName", ""))
feature_names.append(feature_name)
# NEW: Extract tagged rules from requirementAnalysis
requirement_analysis = feature.get("requirementAnalysis", [])
if requirement_analysis:
logger.info(f"📋 Found tagged rules for feature: {feature_name}")
for req_analysis in requirement_analysis:
requirement_name = req_analysis.get("requirement", "Unknown Requirement")
requirement_rules = req_analysis.get("logicRules", [])
# Create detailed requirement entry
detailed_req = {
"feature_name": feature_name,
"requirement_name": requirement_name,
"description": feature.get("description", ""),
"complexity": req_analysis.get("complexity", "medium"),
"rules": requirement_rules
}
extracted["detailed_requirements"].append(detailed_req)
# Add tagged rules
for rule_idx, rule in enumerate(requirement_rules):
if rule and rule.strip():
tagged_rule = {
"rule_id": f"R{rule_idx + 1}",
"rule_text": rule.strip(),
"feature_name": feature_name,
"requirement_name": requirement_name
}
extracted["tagged_rules"].append(tagged_rule)
extracted["total_tagged_rules"] += 1
# Fallback: Add regular logic rules to main logic_rules if no tagged rules
elif feature.get("logicRules"):
regular_rules = feature.get("logicRules", [])
extracted["logic_rules"].extend(regular_rules)
else:
feature_names.append(str(feature))
extracted["features"].extend([f for f in feature_names if f])
logger.info(f"✅ Extracted enhanced data with functional requirements and tagged rules:")
logger.info(f" Project: {extracted['project_name']} ({extracted['project_type']})")
logger.info(f" Main feature: {extracted['feature_name']}")
logger.info(f" Requirements: {len(extracted['requirements'])}")
logger.info(f" Logic Rules: {len(extracted['logic_rules'])}")
logger.info(f" Complexity: {extracted['complexity']}")
logger.info(f" Business answers: {len(extracted['business_answers'])}")
logger.info(f" Total features: {len(extracted['features'])}")
# NEW: Tagged rules logging
logger.info(f" Detailed Requirements: {len(extracted['detailed_requirements'])}")
logger.info(f" Tagged Rules: {extracted['total_tagged_rules']}")
return extracted
def build_comprehensive_context(extracted_data: Dict) -> Dict:
"""Build comprehensive context for Claude analysis - ENHANCED with tagged rules"""
# Combine all requirements and business insights - SAME working logic
functional_requirements = []
if extracted_data["feature_name"]:
functional_requirements.append(f"Core Feature: {extracted_data['feature_name']}")
if extracted_data["requirements"]:
functional_requirements.extend([f"{req}" for req in extracted_data["requirements"]])
if extracted_data["features"]:
for feature in extracted_data["features"]:
if feature and feature != extracted_data["feature_name"]:
functional_requirements.append(f"{feature}")
# NEW: Add detailed requirements with tagged rules to functional requirements
detailed_requirements_text = []
for detailed_req in extracted_data.get("detailed_requirements", []):
req_text = f"📋 {detailed_req['feature_name']}{detailed_req['requirement_name']}:"
for rule in detailed_req["rules"]:
req_text += f"\n - {rule}"
detailed_requirements_text.append(req_text)
if detailed_requirements_text:
functional_requirements.extend(detailed_requirements_text)
# Business context from answers - SAME working logic
business_context = {}
if extracted_data["business_answers"]:
for answer_data in extracted_data["business_answers"]:
if isinstance(answer_data, dict):
question = answer_data.get("question", "")
answer = answer_data.get("answer", "")
if question and answer:
# Categorize business answers - SAME logic
if any(keyword in question.lower() for keyword in ["user", "scale", "concurrent"]):
business_context["scale_requirements"] = business_context.get("scale_requirements", [])
business_context["scale_requirements"].append(f"{question}: {answer}")
elif any(keyword in question.lower() for keyword in ["compliance", "security", "encryption"]):
business_context["security_requirements"] = business_context.get("security_requirements", [])
business_context["security_requirements"].append(f"{question}: {answer}")
elif any(keyword in question.lower() for keyword in ["budget", "timeline", "timeline"]):
business_context["project_constraints"] = business_context.get("project_constraints", [])
business_context["project_constraints"].append(f"{question}: {answer}")
else:
business_context["other_requirements"] = business_context.get("other_requirements", [])
business_context["other_requirements"].append(f"{question}: {answer}")
return {
"project_name": extracted_data["project_name"],
"project_type": extracted_data["project_type"],
"complexity": extracted_data["complexity"],
"functional_requirements": functional_requirements,
"business_context": business_context,
"logic_rules": extracted_data["logic_rules"],
# NEW: Include tagged rules data
"detailed_requirements": extracted_data.get("detailed_requirements", []),
"tagged_rules": extracted_data.get("tagged_rules", [])
}
async def generate_enhanced_recommendations(context: Dict) -> Dict:
"""Generate enhanced tech stack recommendations using Claude with business context - SAME working logic + tagged rules"""
if not enhanced_selector.claude_client:
logger.error("❌ Claude client not available")
return {
"error": "Claude AI not available",
"fallback": "Basic recommendations would go here"
}
# Build comprehensive prompt with business context - SAME working logic
functional_reqs_text = "\n".join(context["functional_requirements"])
business_context_text = ""
for category, requirements in context["business_context"].items():
business_context_text += f"\n{category.replace('_', ' ').title()}:\n"
business_context_text += "\n".join([f" - {req}" for req in requirements]) + "\n"
logic_rules_text = "\n".join([f" - {rule}" for rule in context["logic_rules"]])
# NEW: Add tagged rules info to prompt (only if tagged rules exist)
tagged_rules_text = ""
if context.get("tagged_rules"):
tagged_rules_text = f"\n\nDETAILED TAGGED RULES:\n"
for tagged_rule in context["tagged_rules"][:10]: # Limit to first 10 for prompt size
tagged_rules_text += f" {tagged_rule['rule_id']}: {tagged_rule['rule_text']} (Feature: {tagged_rule['feature_name']})\n"
if len(context["tagged_rules"]) > 10:
tagged_rules_text += f" ... and {len(context['tagged_rules']) - 10} more tagged rules\n"
# SAME working prompt structure with minimal enhancement
prompt = f"""You are a senior software architect. Analyze this comprehensive project context and recommend the optimal technology stack.
PROJECT CONTEXT:
- Name: {context["project_name"]}
- Type: {context["project_type"]}
- Complexity: {context["complexity"]}
FUNCTIONAL REQUIREMENTS:
{functional_reqs_text}
BUSINESS CONTEXT & CONSTRAINTS:
{business_context_text}
BUSINESS LOGIC RULES:
{logic_rules_text}
{tagged_rules_text}
Based on this comprehensive analysis, provide detailed technology recommendations as a JSON object:
{{
"technology_recommendations": {{
"frontend": {{
"framework": "recommended framework",
"libraries": ["lib1", "lib2", "lib3"],
"reasoning": "detailed reasoning based on requirements and business context"
}},
"backend": {{
"framework": "recommended backend framework",
"language": "programming language",
"libraries": ["lib1", "lib2", "lib3"],
"reasoning": "detailed reasoning based on complexity and business needs"
}},
"database": {{
"primary": "primary database choice",
"secondary": ["cache", "search", "analytics"],
"reasoning": "database choice based on data requirements and scale"
}},
"infrastructure": {{
"cloud_provider": "recommended cloud provider",
"orchestration": "container/orchestration choice",
"services": ["service1", "service2", "service3"],
"reasoning": "infrastructure reasoning based on scale and budget"
}},
"security": {{
"authentication": "auth strategy",
"authorization": "authorization approach",
"data_protection": "data protection measures",
"compliance": "compliance approach",
"reasoning": "security reasoning based on business context"
}},
"third_party_services": {{
"communication": "communication services",
"monitoring": "monitoring solution",
"payment": "payment processing",
"other_services": ["service1", "service2"],
"reasoning": "third-party service reasoning"
}}
}},
"implementation_strategy": {{
"architecture_pattern": "recommended architecture pattern",
"development_phases": ["phase1", "phase2", "phase3"],
"deployment_strategy": "deployment approach",
"scalability_approach": "scalability strategy",
"timeline_estimate": "development timeline estimate"
}},
"business_alignment": {{
"addresses_scale_requirements": "how recommendations address scale needs",
"addresses_security_requirements": "how recommendations address security needs",
"addresses_budget_constraints": "how recommendations fit budget",
"addresses_timeline_constraints": "how recommendations fit timeline",
"compliance_considerations": "compliance alignment"
}}
}}
CRITICAL: Return ONLY valid JSON, no additional text. Base all recommendations on the provided functional requirements and business context."""
try:
logger.info("📞 Calling Claude for enhanced recommendations with functional requirements and tagged rules...")
message = enhanced_selector.claude_client.messages.create(
model="claude-3-5-sonnet-20241022",
max_tokens=8000,
temperature=0.1,
messages=[{"role": "user", "content": prompt}]
)
claude_response = message.content[0].text.strip()
logger.info("✅ Received Claude response for enhanced recommendations")
# Parse JSON response - SAME working logic
try:
recommendations = json.loads(claude_response)
logger.info("✅ Successfully parsed enhanced recommendations JSON")
return recommendations
except json.JSONDecodeError as e:
logger.error(f"❌ JSON parse error: {e}")
return {
"parse_error": str(e),
"raw_response": claude_response[:1000] + "..." if len(claude_response) > 1000 else claude_response
}
except Exception as e:
logger.error(f"❌ Claude API error: {e}")
return {
"error": str(e),
"fallback": "Enhanced recommendations generation failed"
}
if __name__ == "__main__":
import uvicorn
logger.info("="*60)
logger.info("🚀 ENHANCED TECH STACK SELECTOR v11.1 - FUNCTIONAL REQUIREMENTS + TAGGED RULES")
logger.info("="*60)
logger.info("✅ Enhanced data extraction from web dashboard")
logger.info("✅ Functional requirements display")
logger.info("✅ Business context analysis")
logger.info("✅ NEW: Tagged rules support")
logger.info("✅ Complete data for architecture-designer")
logger.info("✅ Comprehensive Claude recommendations")
logger.info("="*60)
uvicorn.run("main:app", host="0.0.0.0", port=8002, log_level="info")

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# ================================================================================================
# POSTGRESQL TO NEO4J MIGRATION SERVICE
# Migrates existing PostgreSQL data to Neo4j with price-based relationships
# ================================================================================================
import os
import sys
from datetime import datetime
from typing import Dict, Any, Optional, List, Tuple
from neo4j import GraphDatabase
import psycopg2
from psycopg2.extras import RealDictCursor
from loguru import logger
class PostgresToNeo4jMigration:
def __init__(self,
postgres_config: Dict[str, Any],
neo4j_config: Dict[str, Any]):
"""
Initialize migration service with PostgreSQL and Neo4j configurations
"""
self.postgres_config = postgres_config
self.neo4j_config = neo4j_config
self.postgres_conn = None
self.neo4j_driver = None
def connect_postgres(self):
"""Connect to PostgreSQL database"""
try:
self.postgres_conn = psycopg2.connect(**self.postgres_config)
logger.info("✅ Connected to PostgreSQL successfully")
return True
except Exception as e:
logger.error(f"❌ PostgreSQL connection failed: {e}")
return False
def connect_neo4j(self):
"""Connect to Neo4j database"""
try:
self.neo4j_driver = GraphDatabase.driver(
self.neo4j_config["uri"],
auth=(self.neo4j_config["user"], self.neo4j_config["password"])
)
self.neo4j_driver.verify_connectivity()
logger.info("✅ Connected to Neo4j successfully")
return True
except Exception as e:
logger.error(f"❌ Neo4j connection failed: {e}")
return False
def close_connections(self):
"""Close all database connections"""
if self.postgres_conn:
self.postgres_conn.close()
if self.neo4j_driver:
self.neo4j_driver.close()
def run_postgres_query(self, query: str, params: Optional[Dict] = None):
"""Execute PostgreSQL query and return results"""
with self.postgres_conn.cursor(cursor_factory=RealDictCursor) as cursor:
cursor.execute(query, params or {})
return cursor.fetchall()
def run_neo4j_query(self, query: str, params: Optional[Dict] = None):
"""Execute Neo4j query"""
with self.neo4j_driver.session() as session:
result = session.run(query, params or {})
return [record.data() for record in result]
def migrate_price_tiers(self):
"""Migrate price tiers from PostgreSQL to Neo4j"""
logger.info("🔄 Migrating price tiers...")
# Get price tiers from PostgreSQL
price_tiers = self.run_postgres_query("""
SELECT id, tier_name, min_price_usd, max_price_usd,
target_audience, typical_project_scale, description
FROM price_tiers
ORDER BY min_price_usd
""")
# Create price tier nodes in Neo4j
for tier in price_tiers:
# Convert decimal values to float
tier_data = dict(tier)
tier_data['min_price_usd'] = float(tier_data['min_price_usd'])
tier_data['max_price_usd'] = float(tier_data['max_price_usd'])
query = """
CREATE (p:PriceTier {
id: $id,
tier_name: $tier_name,
min_price_usd: $min_price_usd,
max_price_usd: $max_price_usd,
target_audience: $target_audience,
typical_project_scale: $typical_project_scale,
description: $description,
migrated_at: datetime()
})
"""
self.run_neo4j_query(query, tier_data)
logger.info(f"✅ Migrated {len(price_tiers)} price tiers")
return len(price_tiers)
def migrate_technologies(self):
"""Migrate all technology categories from PostgreSQL to Neo4j"""
logger.info("🔄 Migrating technologies...")
technology_tables = [
("frontend_technologies", "frontend"),
("backend_technologies", "backend"),
("database_technologies", "database"),
("cloud_technologies", "cloud"),
("testing_technologies", "testing"),
("mobile_technologies", "mobile"),
("devops_technologies", "devops"),
("ai_ml_technologies", "ai_ml")
]
total_technologies = 0
for table_name, category in technology_tables:
logger.info(f" 📊 Migrating {category} technologies...")
# Get technologies from PostgreSQL
technologies = self.run_postgres_query(f"""
SELECT * FROM {table_name}
ORDER BY name
""")
# Create technology nodes in Neo4j
for tech in technologies:
# Convert PostgreSQL row to Neo4j properties
properties = dict(tech)
properties['category'] = category
properties['migrated_at'] = datetime.now().isoformat()
# Convert decimal values to float
for key, value in properties.items():
if hasattr(value, '__class__') and 'Decimal' in str(value.__class__):
properties[key] = float(value)
# Create the node (use MERGE to handle duplicates)
query = f"""
MERGE (t:Technology {{name: $name}})
SET t += {{
{', '.join([f'{k}: ${k}' for k in properties.keys() if k != 'name'])}
}}
SET t:{category.title()}
"""
self.run_neo4j_query(query, properties)
logger.info(f" ✅ Migrated {len(technologies)} {category} technologies")
total_technologies += len(technologies)
logger.info(f"✅ Total technologies migrated: {total_technologies}")
return total_technologies
def migrate_tech_pricing(self):
"""Migrate technology pricing data"""
logger.info("🔄 Migrating technology pricing...")
# Get tech pricing from PostgreSQL
pricing_data = self.run_postgres_query("""
SELECT tp.*, pt.tier_name as price_tier_name
FROM tech_pricing tp
JOIN price_tiers pt ON tp.price_tier_id = pt.id
ORDER BY tp.tech_name
""")
# Update technologies with pricing data
for pricing in pricing_data:
# Convert decimal values to float
pricing_dict = dict(pricing)
for key, value in pricing_dict.items():
if hasattr(value, '__class__') and 'Decimal' in str(value.__class__):
pricing_dict[key] = float(value)
# Update technology with pricing
query = """
MATCH (t:Technology {name: $tech_name})
SET t.monthly_cost_usd = $monthly_operational_cost_usd,
t.setup_cost_usd = $development_cost_usd,
t.license_cost_usd = $license_cost_usd,
t.training_cost_usd = $training_cost_usd,
t.total_cost_of_ownership_score = $total_cost_of_ownership_score,
t.price_performance_ratio = $price_performance_ratio,
t.price_tier_name = $price_tier_name,
t.min_cpu_cores = $min_cpu_cores,
t.min_ram_gb = $min_ram_gb,
t.min_storage_gb = $min_storage_gb
"""
self.run_neo4j_query(query, pricing_dict)
logger.info(f"✅ Updated {len(pricing_data)} technologies with pricing data")
return len(pricing_data)
def migrate_price_based_stacks(self):
"""Migrate complete tech stacks from price_based_stacks table"""
logger.info("🔄 Migrating price-based tech stacks...")
# Get price-based stacks from PostgreSQL
stacks = self.run_postgres_query("""
SELECT pbs.*, pt.tier_name as price_tier_name
FROM price_based_stacks pbs
JOIN price_tiers pt ON pbs.price_tier_id = pt.id
ORDER BY pbs.total_monthly_cost_usd
""")
# Create tech stack nodes in Neo4j
for stack in stacks:
# Convert decimal values to float
stack_dict = dict(stack)
for key, value in stack_dict.items():
if hasattr(value, '__class__') and 'Decimal' in str(value.__class__):
stack_dict[key] = float(value)
# Create the tech stack node
query = """
CREATE (s:TechStack {
name: $stack_name,
monthly_cost: $total_monthly_cost_usd,
setup_cost: $total_setup_cost_usd,
team_size_range: $team_size_range,
development_time_months: $development_time_months,
satisfaction_score: $user_satisfaction_score,
success_rate: $success_rate_percentage,
price_tier: $price_tier_name,
maintenance_complexity: $maintenance_complexity,
scalability_ceiling: $scalability_ceiling,
recommended_domains: $recommended_domains,
description: $description,
pros: $pros,
cons: $cons,
frontend_tech: $frontend_tech,
backend_tech: $backend_tech,
database_tech: $database_tech,
cloud_tech: $cloud_tech,
testing_tech: $testing_tech,
mobile_tech: $mobile_tech,
devops_tech: $devops_tech,
ai_ml_tech: $ai_ml_tech,
migrated_at: datetime()
})
"""
self.run_neo4j_query(query, stack_dict)
logger.info(f"✅ Migrated {len(stacks)} price-based tech stacks")
return len(stacks)
def migrate_stack_recommendations(self):
"""Migrate domain-specific stack recommendations"""
logger.info("🔄 Migrating stack recommendations...")
# Get stack recommendations from PostgreSQL
# Handle case where price_tier_id might be NULL
recommendations = self.run_postgres_query("""
SELECT sr.*,
COALESCE(pt.tier_name, 'Not Specified') as price_tier_name,
pbs.stack_name,
pbs.price_tier_id as stack_price_tier_id
FROM stack_recommendations sr
LEFT JOIN price_tiers pt ON sr.price_tier_id = pt.id
JOIN price_based_stacks pbs ON sr.recommended_stack_id = pbs.id
ORDER BY sr.business_domain, sr.confidence_score DESC
""")
# Create domain nodes and recommendations
for rec in recommendations:
# Convert arrays to lists
rec_dict = dict(rec)
for key, value in rec_dict.items():
if hasattr(value, '__class__') and 'list' in str(value.__class__):
rec_dict[key] = list(value)
# Create domain node
domain_query = """
MERGE (d:Domain {name: $business_domain})
SET d.project_scale = $project_scale,
d.team_experience_level = $team_experience_level
"""
self.run_neo4j_query(domain_query, rec_dict)
# Get the actual price tier for the stack
stack_tier_query = """
MATCH (s:TechStack {name: $stack_name})-[:BELONGS_TO_TIER]->(pt:PriceTier)
RETURN pt.tier_name as actual_tier_name
"""
tier_result = self.run_neo4j_query(stack_tier_query, {"stack_name": rec_dict["stack_name"]})
actual_tier = tier_result[0]["actual_tier_name"] if tier_result else rec_dict["price_tier_name"]
# Create recommendation relationship
rec_query = """
MATCH (d:Domain {name: $business_domain})
MATCH (s:TechStack {name: $stack_name})
CREATE (d)-[:RECOMMENDS {
confidence_score: $confidence_score,
recommendation_reasons: $recommendation_reasons,
potential_risks: $potential_risks,
alternative_stacks: $alternative_stacks,
price_tier: $actual_tier
}]->(s)
"""
rec_dict["actual_tier"] = actual_tier
self.run_neo4j_query(rec_query, rec_dict)
logger.info(f"✅ Migrated {len(recommendations)} stack recommendations")
return len(recommendations)
def migrate_tools(self):
"""Migrate tools with pricing from PostgreSQL to Neo4j"""
logger.info("🔄 Migrating tools with pricing...")
# Get tools with pricing from PostgreSQL
tools = self.run_postgres_query("""
SELECT t.*, pt.tier_name as price_tier_name
FROM tools t
LEFT JOIN price_tiers pt ON t.price_tier_id = pt.id
ORDER BY t.name
""")
# Create tool nodes in Neo4j
for tool in tools:
properties = dict(tool)
properties['migrated_at'] = datetime.now().isoformat()
# Convert decimal values to float
for key, value in properties.items():
if hasattr(value, '__class__') and 'Decimal' in str(value.__class__):
properties[key] = float(value)
# Create the tool node (use MERGE to handle duplicates)
query = f"""
MERGE (tool:Tool {{name: $name}})
SET tool += {{
{', '.join([f'{k}: ${k}' for k in properties.keys() if k != 'name'])}
}}
"""
self.run_neo4j_query(query, properties)
logger.info(f"✅ Migrated {len(tools)} tools")
return len(tools)
def create_price_relationships(self):
"""Create price-based relationships between technologies/tools and price tiers"""
logger.info("🔗 Creating price-based relationships...")
# Create relationships for technologies
technology_categories = ["frontend", "backend", "database", "cloud", "testing", "mobile", "devops", "ai_ml"]
for category in technology_categories:
logger.info(f" 📊 Creating price relationships for {category} technologies...")
# Get technologies and their price tiers
query = f"""
MATCH (t:Technology {{category: '{category}'}})
MATCH (p:PriceTier)
WHERE t.monthly_cost_usd >= p.min_price_usd
AND t.monthly_cost_usd <= p.max_price_usd
CREATE (t)-[:BELONGS_TO_TIER {{
fit_score: CASE
WHEN t.monthly_cost_usd = 0.0 THEN 100.0
ELSE 100.0 - ((t.monthly_cost_usd - p.min_price_usd) / (p.max_price_usd - p.min_price_usd) * 20.0)
END,
cost_efficiency: t.total_cost_of_ownership_score,
price_performance: t.price_performance_ratio
}}]->(p)
RETURN count(*) as relationships_created
"""
result = self.run_neo4j_query(query)
if result:
logger.info(f" ✅ Created {result[0]['relationships_created']} price relationships for {category}")
# Create relationships for tools
logger.info(" 📊 Creating price relationships for tools...")
query = """
MATCH (tool:Tool)
MATCH (p:PriceTier)
WHERE tool.monthly_cost_usd >= p.min_price_usd
AND tool.monthly_cost_usd <= p.max_price_usd
CREATE (tool)-[:BELONGS_TO_TIER {
fit_score: CASE
WHEN tool.monthly_cost_usd = 0.0 THEN 100.0
ELSE 100.0 - ((tool.monthly_cost_usd - p.min_price_usd) / (p.max_price_usd - p.min_price_usd) * 20.0)
END,
cost_efficiency: tool.total_cost_of_ownership_score,
price_performance: tool.price_performance_ratio
}]->(p)
RETURN count(*) as relationships_created
"""
result = self.run_neo4j_query(query)
if result:
logger.info(f" ✅ Created {result[0]['relationships_created']} price relationships for tools")
def create_technology_compatibility_relationships(self):
"""Create compatibility relationships between technologies"""
logger.info("🔗 Creating technology compatibility relationships...")
query = """
MATCH (t1:Technology), (t2:Technology)
WHERE t1.name <> t2.name
AND (
// Same category, different technologies
(t1.category = t2.category AND t1.name <> t2.name) OR
// Frontend-Backend compatibility
(t1.category = "frontend" AND t2.category = "backend") OR
(t1.category = "backend" AND t2.category = "frontend") OR
// Backend-Database compatibility
(t1.category = "backend" AND t2.category = "database") OR
(t1.category = "database" AND t2.category = "backend") OR
// Cloud compatibility with all
(t1.category = "cloud" AND t2.category IN ["frontend", "backend", "database"]) OR
(t2.category = "cloud" AND t1.category IN ["frontend", "backend", "database"])
)
MERGE (t1)-[r:COMPATIBLE_WITH {
compatibility_score: CASE
WHEN t1.category = t2.category THEN 0.8
WHEN (t1.category = "frontend" AND t2.category = "backend") THEN 0.9
WHEN (t1.category = "backend" AND t2.category = "database") THEN 0.9
WHEN (t1.category = "cloud" AND t2.category IN ["frontend", "backend", "database"]) THEN 0.85
ELSE 0.7
END,
integration_effort: CASE
WHEN t1.category = t2.category THEN "Low"
WHEN (t1.category = "frontend" AND t2.category = "backend") THEN "Medium"
WHEN (t1.category = "backend" AND t2.category = "database") THEN "Low"
WHEN (t1.category = "cloud" AND t2.category IN ["frontend", "backend", "database"]) THEN "Low"
ELSE "High"
END,
reason: "Auto-generated compatibility relationship",
created_at: datetime()
}]->(t2)
RETURN count(r) as relationships_created
"""
result = self.run_neo4j_query(query)
if result:
logger.info(f"✅ Created {result[0]['relationships_created']} compatibility relationships")
def create_tech_stack_relationships(self):
"""Create relationships between tech stacks and their technologies"""
logger.info("🔗 Creating tech stack relationships...")
# Create relationships for each technology type separately
tech_relationships = [
("frontend_tech", "USES_FRONTEND", "frontend"),
("backend_tech", "USES_BACKEND", "backend"),
("database_tech", "USES_DATABASE", "database"),
("cloud_tech", "USES_CLOUD", "cloud"),
("testing_tech", "USES_TESTING", "testing"),
("mobile_tech", "USES_MOBILE", "mobile"),
("devops_tech", "USES_DEVOPS", "devops"),
("ai_ml_tech", "USES_AI_ML", "ai_ml")
]
total_relationships = 0
for tech_field, relationship_type, category in tech_relationships:
# For testing technologies, also check frontend category since some testing tools are categorized as frontend
if category == "testing":
query = f"""
MATCH (s:TechStack)
WHERE s.{tech_field} IS NOT NULL
MATCH (t:Technology {{name: s.{tech_field}}})
WHERE t.category = '{category}' OR (t.category = 'frontend' AND s.{tech_field} IN ['Jest', 'Cypress', 'Playwright', 'Selenium', 'Vitest', 'Testing Library'])
MERGE (s)-[:{relationship_type} {{role: '{category}', importance: 'critical'}}]->(t)
RETURN count(s) as relationships_created
"""
else:
query = f"""
MATCH (s:TechStack)
WHERE s.{tech_field} IS NOT NULL
MATCH (t:Technology {{name: s.{tech_field}, category: '{category}'}})
MERGE (s)-[:{relationship_type} {{role: '{category}', importance: 'critical'}}]->(t)
RETURN count(s) as relationships_created
"""
result = self.run_neo4j_query(query)
if result:
count = result[0]['relationships_created']
total_relationships += count
logger.info(f" ✅ Created {count} {relationship_type} relationships")
logger.info(f"✅ Created {total_relationships} total tech stack relationships")
# Create price tier relationships for tech stacks
price_tier_query = """
MATCH (s:TechStack)
MATCH (p:PriceTier {tier_name: s.price_tier})
MERGE (s)-[:BELONGS_TO_TIER {fit_score: 100.0}]->(p)
RETURN count(s) as relationships_created
"""
result = self.run_neo4j_query(price_tier_query)
if result:
logger.info(f"✅ Created price tier relationships for {result[0]['relationships_created']} tech stacks")
def create_optimal_tech_stacks(self, max_stacks_per_tier: int = 5):
"""Create optimal tech stacks based on price tiers and compatibility"""
logger.info("🏗️ Creating optimal tech stacks...")
# Get price tiers
price_tiers = self.run_neo4j_query("MATCH (p:PriceTier) RETURN p ORDER BY p.min_price_usd")
total_stacks = 0
for tier in price_tiers:
tier_name = tier['p']['tier_name']
min_price = tier['p']['min_price_usd']
max_price = tier['p']['max_price_usd']
logger.info(f" 📊 Creating stacks for {tier_name} (${min_price}-${max_price})...")
# Find optimal combinations within this price tier
query = """
MATCH (frontend:Technology {category: "frontend"})-[:BELONGS_TO_TIER]->(p:PriceTier {tier_name: $tier_name})
MATCH (backend:Technology {category: "backend"})-[:BELONGS_TO_TIER]->(p)
MATCH (database:Technology {category: "database"})-[:BELONGS_TO_TIER]->(p)
MATCH (cloud:Technology {category: "cloud"})-[:BELONGS_TO_TIER]->(p)
WITH frontend, backend, database, cloud, p,
(frontend.monthly_cost_usd + backend.monthly_cost_usd +
database.monthly_cost_usd + cloud.monthly_cost_usd) as total_cost,
(frontend.total_cost_of_ownership_score + backend.total_cost_of_ownership_score +
database.total_cost_of_ownership_score + cloud.total_cost_of_ownership_score) as total_score
WHERE total_cost >= p.min_price_usd AND total_cost <= p.max_price_usd
WITH frontend, backend, database, cloud, total_cost, total_score,
(total_score / 4.0) as avg_score,
(100.0 - ((total_cost - p.min_price_usd) / (p.max_price_usd - p.min_price_usd) * 20.0)) as budget_efficiency
ORDER BY avg_score DESC, budget_efficiency DESC, total_cost ASC
LIMIT $max_stacks
CREATE (s:TechStack {
name: "Optimal " + $tier_name + " Stack - $" + toString(round(total_cost)) + "/month",
monthly_cost: total_cost,
setup_cost: total_cost * 0.5,
team_size_range: CASE
WHEN $tier_name = "Micro Budget" THEN "1-2"
WHEN $tier_name = "Startup Budget" THEN "2-4"
WHEN $tier_name = "Small Business" THEN "3-6"
WHEN $tier_name = "Growth Stage" THEN "5-10"
ELSE "8-15"
END,
development_time_months: CASE
WHEN $tier_name = "Micro Budget" THEN 1
WHEN $tier_name = "Startup Budget" THEN 2
WHEN $tier_name = "Small Business" THEN 3
WHEN $tier_name = "Growth Stage" THEN 4
ELSE 6
END,
satisfaction_score: toInteger(avg_score),
success_rate: toInteger(avg_score * 0.9),
price_tier: $tier_name,
budget_efficiency: budget_efficiency,
created_at: datetime()
})
CREATE (s)-[:BELONGS_TO_TIER {fit_score: budget_efficiency}]->(p)
CREATE (s)-[:USES_FRONTEND {role: "frontend", importance: "critical"}]->(frontend)
CREATE (s)-[:USES_BACKEND {role: "backend", importance: "critical"}]->(backend)
CREATE (s)-[:USES_DATABASE {role: "database", importance: "critical"}]->(database)
CREATE (s)-[:USES_CLOUD {role: "cloud", importance: "critical"}]->(cloud)
RETURN count(s) as stacks_created
"""
result = self.run_neo4j_query(query, {
"tier_name": tier_name,
"max_stacks": max_stacks_per_tier
})
if result and result[0]['stacks_created'] > 0:
stacks_created = result[0]['stacks_created']
logger.info(f" ✅ Created {stacks_created} optimal stacks for {tier_name}")
total_stacks += stacks_created
logger.info(f"✅ Total tech stacks created: {total_stacks}")
return total_stacks
def validate_migration(self):
"""Validate the migration results"""
logger.info("🔍 Validating migration...")
# Count nodes
node_counts = self.run_neo4j_query("""
MATCH (n)
RETURN labels(n)[0] as label, count(n) as count
ORDER BY count DESC
""")
logger.info("📊 Node counts:")
for item in node_counts:
logger.info(f" {item['label']}: {item['count']}")
# Count relationships
rel_counts = self.run_neo4j_query("""
MATCH ()-[r]->()
RETURN type(r) as type, count(r) as count
ORDER BY count DESC
""")
logger.info("🔗 Relationship counts:")
for item in rel_counts:
logger.info(f" {item['type']}: {item['count']}")
# Validate tech stacks
stack_validation = self.run_neo4j_query("""
MATCH (s:TechStack)
RETURN s.name,
exists((s)-[:BELONGS_TO_TIER]->()) as has_price_tier,
exists((s)-[:USES_FRONTEND]->()) as has_frontend,
exists((s)-[:USES_BACKEND]->()) as has_backend,
exists((s)-[:USES_DATABASE]->()) as has_database,
exists((s)-[:USES_CLOUD]->()) as has_cloud
""")
complete_stacks = [s for s in stack_validation if all([
s['has_price_tier'], s['has_frontend'], s['has_backend'],
s['has_database'], s['has_cloud']
])]
logger.info(f"✅ Complete tech stacks: {len(complete_stacks)}/{len(stack_validation)}")
return {
"node_counts": node_counts,
"relationship_counts": rel_counts,
"complete_stacks": len(complete_stacks),
"total_stacks": len(stack_validation)
}
def run_full_migration(self):
"""Run the complete migration process"""
logger.info("🚀 Starting PostgreSQL to Neo4j migration...")
try:
# Connect to databases
if not self.connect_postgres():
return False
if not self.connect_neo4j():
return False
# Clear Neo4j
logger.info("🧹 Clearing Neo4j database...")
self.run_neo4j_query("MATCH (n) DETACH DELETE n")
# Run migrations
price_tiers_count = self.migrate_price_tiers()
technologies_count = self.migrate_technologies()
tech_pricing_count = self.migrate_tech_pricing()
price_based_stacks_count = self.migrate_price_based_stacks()
stack_recommendations_count = self.migrate_stack_recommendations()
tools_count = self.migrate_tools()
# Create relationships
self.create_price_relationships()
self.create_technology_compatibility_relationships()
self.create_tech_stack_relationships()
# Create optimal tech stacks (only if no existing stacks)
if price_based_stacks_count == 0:
stacks_count = self.create_optimal_tech_stacks()
else:
stacks_count = price_based_stacks_count
# Validate migration
validation = self.validate_migration()
logger.info("🎉 Migration completed successfully!")
logger.info(f"📊 Summary:")
logger.info(f" Price tiers: {price_tiers_count}")
logger.info(f" Technologies: {technologies_count}")
logger.info(f" Tech pricing: {tech_pricing_count}")
logger.info(f" Price-based stacks: {price_based_stacks_count}")
logger.info(f" Stack recommendations: {stack_recommendations_count}")
logger.info(f" Tools: {tools_count}")
logger.info(f" Total tech stacks: {stacks_count}")
logger.info(f" Complete stacks: {validation['complete_stacks']}/{validation['total_stacks']}")
return True
except Exception as e:
logger.error(f"❌ Migration failed: {e}")
return False
finally:
self.close_connections()
# ================================================================================================
# MAIN EXECUTION
# ================================================================================================
if __name__ == "__main__":
# Configuration
postgres_config = {
"host": os.getenv("POSTGRES_HOST", "localhost"),
"port": int(os.getenv("POSTGRES_PORT", "5432")),
"user": os.getenv("POSTGRES_USER", "pipeline_admin"),
"password": os.getenv("POSTGRES_PASSWORD", "secure_pipeline_2024"),
"database": os.getenv("POSTGRES_DB", "dev_pipeline")
}
neo4j_config = {
"uri": os.getenv("NEO4J_URI", "bolt://localhost:7687"),
"user": os.getenv("NEO4J_USER", "neo4j"),
"password": os.getenv("NEO4J_PASSWORD", "password")
}
# Run migration
migration = PostgresToNeo4jMigration(postgres_config, neo4j_config)
success = migration.run_full_migration()
if success:
logger.info("✅ Migration completed successfully!")
sys.exit(0)
else:
logger.error("❌ Migration failed!")
sys.exit(1)

View File

@ -0,0 +1,431 @@
#!/bin/bash
# ================================================================================================
# ENHANCED TECH STACK SELECTOR - MIGRATED VERSION STARTUP SCRIPT
# Uses PostgreSQL data migrated to Neo4j with proper price-based relationships
# ================================================================================================
set -e
# Parse command line arguments
FORCE_MIGRATION=false
if [ "$1" = "--force-migration" ] || [ "$1" = "-f" ]; then
FORCE_MIGRATION=true
echo "🔄 Force migration mode enabled"
elif [ "$1" = "--help" ] || [ "$1" = "-h" ]; then
echo "Usage: $0 [OPTIONS]"
echo ""
echo "Options:"
echo " --force-migration, -f Force re-run all migrations"
echo " --help, -h Show this help message"
echo ""
echo "Examples:"
echo " $0 # Normal startup with auto-migration detection"
echo " $0 --force-migration # Force re-run all migrations"
exit 0
fi
echo "="*60
echo "🚀 ENHANCED TECH STACK SELECTOR v15.0 - MIGRATED VERSION"
echo "="*60
echo "✅ PostgreSQL data migrated to Neo4j"
echo "✅ Price-based relationships"
echo "✅ Real data from PostgreSQL"
echo "✅ Comprehensive pricing analysis"
echo "="*60
# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
BLUE='\033[0;34m'
NC='\033[0m' # No Color
# Function to print colored output
print_status() {
echo -e "${GREEN}$1${NC}"
}
print_warning() {
echo -e "${YELLOW}⚠️ $1${NC}"
}
print_error() {
echo -e "${RED}$1${NC}"
}
print_info() {
echo -e "${BLUE} $1${NC}"
}
# Check if Python is available
if ! command -v python3 &> /dev/null; then
print_error "Python3 is not installed or not in PATH"
exit 1
fi
print_status "Python3 found: $(python3 --version)"
# Check if pip is available
if ! command -v pip3 &> /dev/null; then
print_error "pip3 is not installed or not in PATH"
exit 1
fi
print_status "pip3 found: $(pip3 --version)"
# Check if psql is available
if ! command -v psql &> /dev/null; then
print_error "psql is not installed or not in PATH"
print_info "Please install PostgreSQL client tools:"
print_info " Ubuntu/Debian: sudo apt-get install postgresql-client"
print_info " CentOS/RHEL: sudo yum install postgresql"
print_info " macOS: brew install postgresql"
exit 1
fi
print_status "psql found: $(psql --version)"
# Check if createdb is available
if ! command -v createdb &> /dev/null; then
print_error "createdb is not installed or not in PATH"
print_info "Please install PostgreSQL client tools:"
print_info " Ubuntu/Debian: sudo apt-get install postgresql-client"
print_info " CentOS/RHEL: sudo yum install postgresql"
print_info " macOS: brew install postgresql"
exit 1
fi
print_status "createdb found: $(createdb --version)"
# Install/upgrade required packages
print_info "Installing/upgrading required packages..."
pip3 install --upgrade fastapi uvicorn neo4j psycopg2-binary anthropic loguru pydantic
# Function to create database if it doesn't exist
create_database_if_not_exists() {
print_info "Checking if database 'dev_pipeline' exists..."
# Try to connect to the specific database
if python3 -c "
import psycopg2
try:
conn = psycopg2.connect(
host='localhost',
port=5432,
user='pipeline_admin',
password='secure_pipeline_2024',
database='dev_pipeline'
)
conn.close()
print('Database dev_pipeline exists')
except Exception as e:
print(f'Database dev_pipeline does not exist: {e}')
exit(1)
" 2>/dev/null; then
print_status "Database 'dev_pipeline' exists"
return 0
else
print_warning "Database 'dev_pipeline' does not exist - creating it..."
# Try to create the database
if createdb -h localhost -p 5432 -U pipeline_admin dev_pipeline 2>/dev/null; then
print_status "Database 'dev_pipeline' created successfully"
return 0
else
print_error "Failed to create database 'dev_pipeline'"
print_info "Please create the database manually:"
print_info " createdb -h localhost -p 5432 -U pipeline_admin dev_pipeline"
return 1
fi
fi
}
# Check if PostgreSQL is running
print_info "Checking PostgreSQL connection..."
if ! python3 -c "
import psycopg2
try:
conn = psycopg2.connect(
host='localhost',
port=5432,
user='pipeline_admin',
password='secure_pipeline_2024',
database='postgres'
)
conn.close()
print('PostgreSQL connection successful')
except Exception as e:
print(f'PostgreSQL connection failed: {e}')
exit(1)
" 2>/dev/null; then
print_error "PostgreSQL is not running or not accessible"
print_info "Please ensure PostgreSQL is running and accessible"
exit 1
fi
print_status "PostgreSQL is running and accessible"
# Create database if it doesn't exist
if ! create_database_if_not_exists; then
exit 1
fi
# Function to check if database needs migration
check_database_migration() {
print_info "Checking if database needs migration..."
# Check if price_tiers table exists and has data
if ! python3 -c "
import psycopg2
try:
conn = psycopg2.connect(
host='localhost',
port=5432,
user='pipeline_admin',
password='secure_pipeline_2024',
database='dev_pipeline'
)
cursor = conn.cursor()
# Check if price_tiers table exists
cursor.execute(\"\"\"
SELECT EXISTS (
SELECT FROM information_schema.tables
WHERE table_schema = 'public'
AND table_name = 'price_tiers'
);
\"\"\")
table_exists = cursor.fetchone()[0]
if not table_exists:
print('price_tiers table does not exist - migration needed')
exit(1)
# Check if price_tiers has data
cursor.execute('SELECT COUNT(*) FROM price_tiers;')
count = cursor.fetchone()[0]
if count == 0:
print('price_tiers table is empty - migration needed')
exit(1)
# Check if stack_recommendations has sufficient data (should have more than 8 records)
cursor.execute('SELECT COUNT(*) FROM stack_recommendations;')
rec_count = cursor.fetchone()[0]
if rec_count < 50: # Expect at least 50 domain recommendations
print(f'stack_recommendations has only {rec_count} records - migration needed for additional domains')
exit(1)
# Check for specific new domains
cursor.execute(\"\"\"
SELECT COUNT(DISTINCT business_domain) FROM stack_recommendations
WHERE business_domain IN ('healthcare', 'finance', 'gaming', 'education', 'media', 'iot', 'social', 'elearning', 'realestate', 'travel', 'manufacturing', 'ecommerce', 'saas')
\"\"\")
new_domains_count = cursor.fetchone()[0]
if new_domains_count < 12: # Expect at least 12 domains
print(f'Only {new_domains_count} domains found - migration needed for additional domains')
exit(1)
print('Database appears to be fully migrated with all domains')
cursor.close()
conn.close()
except Exception as e:
print(f'Error checking database: {e}')
exit(1)
" 2>/dev/null; then
return 1 # Migration needed
else
return 0 # Migration not needed
fi
}
# Function to run PostgreSQL migrations
run_postgres_migrations() {
print_info "Running PostgreSQL migrations..."
# Migration files in order
migration_files=(
"db/001_schema.sql"
"db/002_tools_migration.sql"
"db/003_tools_pricing_migration.sql"
)
# Set PGPASSWORD to avoid password prompts
export PGPASSWORD="secure_pipeline_2024"
for migration_file in "${migration_files[@]}"; do
if [ ! -f "$migration_file" ]; then
print_error "Migration file not found: $migration_file"
exit 1
fi
print_info "Running migration: $migration_file"
# Run migration with error handling
if psql -h localhost -p 5432 -U pipeline_admin -d dev_pipeline -f "$migration_file" -q 2>/dev/null; then
print_status "Migration completed: $migration_file"
else
print_error "Migration failed: $migration_file"
print_info "Check the error logs above for details"
print_info "You may need to run the migration manually:"
print_info " psql -h localhost -p 5432 -U pipeline_admin -d dev_pipeline -f $migration_file"
exit 1
fi
done
# Unset password
unset PGPASSWORD
print_status "All PostgreSQL migrations completed successfully"
}
# Check if migration is needed and run if necessary
if [ "$FORCE_MIGRATION" = true ]; then
print_warning "Force migration enabled - running migrations..."
run_postgres_migrations
# Verify migration was successful
print_info "Verifying migration..."
if check_database_migration; then
print_status "Migration verification successful"
else
print_error "Migration verification failed"
exit 1
fi
elif check_database_migration; then
print_status "Database is already migrated"
else
print_warning "Database needs migration - running migrations..."
run_postgres_migrations
# Verify migration was successful
print_info "Verifying migration..."
if check_database_migration; then
print_status "Migration verification successful"
else
print_error "Migration verification failed"
exit 1
fi
fi
# Show migration summary
print_info "Migration Summary:"
python3 -c "
import psycopg2
try:
conn = psycopg2.connect(
host='localhost',
port=5432,
user='pipeline_admin',
password='secure_pipeline_2024',
database='dev_pipeline'
)
cursor = conn.cursor()
# Get table counts
tables = ['price_tiers', 'frontend_technologies', 'backend_technologies', 'database_technologies',
'cloud_technologies', 'testing_technologies', 'mobile_technologies', 'devops_technologies',
'ai_ml_technologies', 'tools', 'price_based_stacks', 'stack_recommendations']
print('📊 Database Statistics:')
for table in tables:
try:
cursor.execute(f'SELECT COUNT(*) FROM {table};')
count = cursor.fetchone()[0]
print(f' {table}: {count} records')
except Exception as e:
print(f' {table}: Error - {e}')
cursor.close()
conn.close()
except Exception as e:
print(f'Error getting migration summary: {e}')
" 2>/dev/null
# Check if Neo4j is running
print_info "Checking Neo4j connection..."
if ! python3 -c "
from neo4j import GraphDatabase
try:
driver = GraphDatabase.driver('bolt://localhost:7687', auth=('neo4j', 'password'))
driver.verify_connectivity()
print('Neo4j connection successful')
driver.close()
except Exception as e:
print(f'Neo4j connection failed: {e}')
exit(1)
" 2>/dev/null; then
print_error "Neo4j is not running or not accessible"
print_info "Please start Neo4j first:"
print_info " docker run -d --name neo4j -p 7474:7474 -p 7687:7687 -e NEO4J_AUTH=neo4j/password neo4j:latest"
print_info " Wait for Neo4j to start (check http://localhost:7474)"
exit 1
fi
print_status "Neo4j is running and accessible"
# Check if migration has been run
print_info "Checking if migration has been completed..."
if ! python3 -c "
from neo4j import GraphDatabase
try:
driver = GraphDatabase.driver('bolt://localhost:7687', auth=('neo4j', 'password'))
with driver.session() as session:
result = session.run('MATCH (p:PriceTier) RETURN count(p) as count')
price_tiers = result.single()['count']
if price_tiers == 0:
print('No data found in Neo4j - migration needed')
exit(1)
else:
print(f'Found {price_tiers} price tiers - migration appears complete')
driver.close()
except Exception as e:
print(f'Error checking migration status: {e}')
exit(1)
" 2>/dev/null; then
print_warning "No data found in Neo4j - running migration..."
# Run migration
if python3 migrate_postgres_to_neo4j.py; then
print_status "Migration completed successfully"
else
print_error "Migration failed"
exit 1
fi
else
print_status "Migration appears to be complete"
fi
# Set environment variables
export NEO4J_URI="bolt://localhost:7687"
export NEO4J_USER="neo4j"
export NEO4J_PASSWORD="password"
export POSTGRES_HOST="localhost"
export POSTGRES_PORT="5432"
export POSTGRES_USER="pipeline_admin"
export POSTGRES_PASSWORD="secure_pipeline_2024"
export POSTGRES_DB="dev_pipeline"
export CLAUDE_API_KEY="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"
print_status "Environment variables set"
# Create logs directory if it doesn't exist
mkdir -p logs
# Start the migrated application
print_info "Starting Enhanced Tech Stack Selector (Migrated Version)..."
print_info "Server will be available at: http://localhost:8002"
print_info "API documentation: http://localhost:8002/docs"
print_info "Health check: http://localhost:8002/health"
print_info "Diagnostics: http://localhost:8002/api/diagnostics"
print_info ""
print_info "Press Ctrl+C to stop the server"
print_info ""
# Start the application
cd src
python3 main_migrated.py

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@ -0,0 +1,90 @@
#!/usr/bin/env python3
"""
Test script to verify domain recommendations are working properly
"""
import requests
import json
def test_domain_recommendations():
"""Test recommendations for different domains"""
base_url = "http://localhost:8002"
# Test domains
test_domains = [
"saas",
"SaaS", # Test case sensitivity
"ecommerce",
"E-commerce", # Test case sensitivity and hyphen
"healthcare",
"finance",
"gaming",
"education",
"media",
"iot",
"social",
"elearning",
"realestate",
"travel",
"manufacturing",
"personal",
"startup",
"enterprise"
]
print("🧪 Testing Domain Recommendations")
print("=" * 50)
for domain in test_domains:
print(f"\n🔍 Testing domain: '{domain}'")
# Test recommendation endpoint
payload = {
"domain": domain,
"budget": 900.0
}
try:
response = requests.post(f"{base_url}/recommend/best", json=payload, timeout=10)
if response.status_code == 200:
data = response.json()
recommendations = data.get('recommendations', [])
print(f" ✅ Status: {response.status_code}")
print(f" 📝 Response: {recommendations}")
print(f" 📊 Recommendations: {len(recommendations)}")
if recommendations:
print(f" 🏆 Top recommendation: {recommendations[0]['stack_name']}")
print(f" 💰 Cost: ${recommendations[0]['monthly_cost']}")
print(f" 🎯 Domains: {recommendations[0].get('recommended_domains', 'N/A')}")
else:
print(" ⚠️ No recommendations found")
else:
print(f" ❌ Error: {response.status_code}")
print(f" 📝 Response: {response.text}")
except requests.exceptions.RequestException as e:
print(f" ❌ Request failed: {e}")
except Exception as e:
print(f" ❌ Unexpected error: {e}")
# Test available domains endpoint
print(f"\n🌐 Testing available domains endpoint")
try:
response = requests.get(f"{base_url}/api/domains", timeout=10)
if response.status_code == 200:
data = response.json()
domains = data.get('domains', [])
print(f" ✅ Available domains: {len(domains)}")
for domain in domains:
print(f" - {domain['domain_name']} ({domain['project_scale']}, {domain['team_experience_level']})")
else:
print(f" ❌ Error: {response.status_code}")
except Exception as e:
print(f" ❌ Error: {e}")
if __name__ == "__main__":
test_domain_recommendations()

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@ -0,0 +1,100 @@
#!/usr/bin/env python3
"""
Test script to verify PostgreSQL migration is working properly
"""
import psycopg2
import sys
def test_database_migration():
"""Test if the database migration was successful"""
try:
# Connect to PostgreSQL
conn = psycopg2.connect(
host='localhost',
port=5432,
user='pipeline_admin',
password='secure_pipeline_2024',
database='dev_pipeline'
)
cursor = conn.cursor()
print("🧪 Testing PostgreSQL Migration")
print("=" * 40)
# Test tables exist
tables_to_check = [
'price_tiers',
'frontend_technologies',
'backend_technologies',
'database_technologies',
'cloud_technologies',
'testing_technologies',
'mobile_technologies',
'devops_technologies',
'ai_ml_technologies',
'tools',
'price_based_stacks',
'stack_recommendations'
]
print("📋 Checking table existence:")
for table in tables_to_check:
cursor.execute(f"""
SELECT EXISTS (
SELECT FROM information_schema.tables
WHERE table_schema = 'public'
AND table_name = '{table}'
);
""")
exists = cursor.fetchone()[0]
status = "" if exists else ""
print(f" {status} {table}")
print("\n📊 Checking data counts:")
for table in tables_to_check:
try:
cursor.execute(f'SELECT COUNT(*) FROM {table};')
count = cursor.fetchone()[0]
print(f" {table}: {count} records")
except Exception as e:
print(f" {table}: Error - {e}")
# Test specific data
print("\n🔍 Testing specific data:")
# Test price tiers
cursor.execute("SELECT tier_name, min_price_usd, max_price_usd FROM price_tiers ORDER BY min_price_usd;")
price_tiers = cursor.fetchall()
print(f" Price tiers: {len(price_tiers)}")
for tier in price_tiers:
print(f" - {tier[0]}: ${tier[1]} - ${tier[2]}")
# Test stack recommendations
cursor.execute("SELECT business_domain, COUNT(*) FROM stack_recommendations GROUP BY business_domain;")
domains = cursor.fetchall()
print(f" Domain recommendations: {len(domains)}")
for domain in domains:
print(f" - {domain[0]}: {domain[1]} recommendations")
# Test tools
cursor.execute("SELECT category, COUNT(*) FROM tools GROUP BY category;")
tool_categories = cursor.fetchall()
print(f" Tool categories: {len(tool_categories)}")
for category in tool_categories:
print(f" - {category[0]}: {category[1]} tools")
cursor.close()
conn.close()
print("\n✅ Database migration test completed successfully!")
return True
except Exception as e:
print(f"\n❌ Database migration test failed: {e}")
return False
if __name__ == "__main__":
success = test_database_migration()
sys.exit(0 if success else 1)

View File

@ -3,7 +3,7 @@ FROM node:18-alpine
WORKDIR /app
# Install curl for health checks
RUN apk add --no-cache curl
RUN apk add --no-cache curl python3 py3-pip py3-virtualenv
# Ensure shared pipeline schema can be applied automatically when missing
ENV APPLY_SCHEMAS_SQL=true
@ -17,6 +17,15 @@ RUN npm install
# Copy source code
COPY . .
# Setup Python venv and install AI dependencies if present
RUN if [ -f "/app/ai/requirements.txt" ]; then \
python3 -m venv /opt/venv && \
/opt/venv/bin/pip install --no-cache-dir -r /app/ai/requirements.txt; \
fi
# Ensure venv binaries are on PATH
ENV PATH="/opt/venv/bin:${PATH}"
# Create non-root user
RUN addgroup -g 1001 -S nodejs
RUN adduser -S template-manager -u 1001
@ -26,11 +35,11 @@ RUN chown -R template-manager:nodejs /app
USER template-manager
# Expose port
EXPOSE 8009
EXPOSE 8009 8013
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
CMD curl -f http://localhost:8009/health || exit 1
CMD curl -f http://localhost:8009/health || curl -f http://localhost:8013/health || exit 1
# Start the application
CMD ["npm", "start"]
CMD ["/bin/sh", "/app/start.sh"]

View File

@ -1,121 +0,0 @@
require('dotenv').config();
const database = require('./src/config/database');
const SAMPLE_TEMPLATES = [
{
type: 'blog_platform',
title: 'Blog Platform',
description: 'Modern blog with content management, comments, and SEO',
icon: '📝',
category: 'Content',
gradient: 'from-purple-50 to-purple-100',
border: 'border-purple-200',
text: 'text-purple-900',
subtext: 'text-purple-700'
},
{
type: 'task_manager',
title: 'Task Manager',
description: 'Project and task management with team collaboration',
icon: '✅',
category: 'Productivity',
gradient: 'from-green-50 to-green-100',
border: 'border-green-200',
text: 'text-green-900',
subtext: 'text-green-700'
},
{
type: 'analytics_dashboard',
title: 'Analytics Dashboard',
description: 'Data visualization and business intelligence platform',
icon: '📊',
category: 'Business',
gradient: 'from-blue-50 to-blue-100',
border: 'border-blue-200',
text: 'text-blue-900',
subtext: 'text-blue-700'
},
{
type: 'social_network',
title: 'Social Network',
description: 'Connect with friends, share content, and build communities',
icon: '🌐',
category: 'Social',
gradient: 'from-pink-50 to-pink-100',
border: 'border-pink-200',
text: 'text-pink-900',
subtext: 'text-pink-700'
},
{
type: 'learning_platform',
title: 'Learning Platform',
description: 'Online courses, quizzes, and educational content',
icon: '🎓',
category: 'Education',
gradient: 'from-yellow-50 to-yellow-100',
border: 'border-yellow-200',
text: 'text-yellow-900',
subtext: 'text-yellow-700'
}
];
async function addSampleTemplates() {
const client = await database.connect();
try {
await client.query('BEGIN');
console.log('🚀 Adding sample templates...');
for (const template of SAMPLE_TEMPLATES) {
const query = `
INSERT INTO templates (
id, type, title, description, icon, category,
gradient, border, text, subtext, is_active, created_at, updated_at
) VALUES (
gen_random_uuid(), $1, $2, $3, $4, $5, $6, $7, $8, $9, true, NOW(), NOW()
)
`;
const values = [
template.type,
template.title,
template.description,
template.icon,
template.category,
template.gradient,
template.border,
template.text,
template.subtext
];
await client.query(query, values);
console.log(`✅ Added template: ${template.title}`);
}
await client.query('COMMIT');
console.log('🎉 Sample templates added successfully!');
} catch (error) {
await client.query('ROLLBACK');
console.error('❌ Error adding sample templates:', error.message);
throw error;
} finally {
client.release();
}
}
// Run if called directly
if (require.main === module) {
addSampleTemplates()
.then(() => {
console.log('🎉 Process completed!');
process.exit(0);
})
.catch((error) => {
console.error('💥 Process failed:', error.message);
process.exit(1);
});
}
module.exports = { addSampleTemplates };

View File

@ -0,0 +1,12 @@
# Python dependencies for AI features
asyncpg==0.30.0
anthropic>=0.34.0
loguru==0.7.2
requests==2.31.0
python-dotenv==1.0.0
neo4j==5.15.0
fastapi==0.104.1
uvicorn==0.24.0
pydantic==2.11.9
httpx>=0.25.0

File diff suppressed because it is too large Load Diff

View File

@ -8,6 +8,7 @@
"name": "template-manager",
"version": "1.0.0",
"dependencies": {
"@anthropic-ai/sdk": "^0.24.3",
"axios": "^1.12.2",
"cors": "^2.8.5",
"dotenv": "^16.0.3",
@ -16,10 +17,12 @@
"joi": "^17.7.0",
"jsonwebtoken": "^9.0.2",
"morgan": "^1.10.0",
"neo4j-driver": "^5.15.0",
"pg": "^8.8.0",
"redis": "^4.6.0",
"socket.io": "^4.8.1",
"uuid": "^9.0.0"
"uuid": "^9.0.0",
"winston": "^3.11.0"
},
"devDependencies": {
"nodemon": "^2.0.22"
@ -28,6 +31,57 @@
"node": ">=18.0.0"
}
},
"node_modules/@anthropic-ai/sdk": {
"version": "0.24.3",
"resolved": "https://registry.npmjs.org/@anthropic-ai/sdk/-/sdk-0.24.3.tgz",
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"node_modules/node-fetch": {
"version": "2.7.0",
"resolved": "https://registry.npmjs.org/node-fetch/-/node-fetch-2.7.0.tgz",
"integrity": "sha512-c4FRfUm/dbcWZ7U+1Wq0AwCyFL+3nt2bEw05wfxSz+DWpWsitgmSgYmy2dQdWyKC1694ELPqMs/YzUSNozLt8A==",
"license": "MIT",
"dependencies": {
"whatwg-url": "^5.0.0"
},
"engines": {
"node": "4.x || >=6.0.0"
},
"peerDependencies": {
"encoding": "^0.1.0"
},
"peerDependenciesMeta": {
"encoding": {
"optional": true
}
}
},
"node_modules/nodemon": {
"version": "2.0.22",
"resolved": "https://registry.npmjs.org/nodemon/-/nodemon-2.0.22.tgz",
@ -1365,6 +1753,15 @@
"node": ">= 0.8"
}
},
"node_modules/one-time": {
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/one-time/-/one-time-1.0.0.tgz",
"integrity": "sha512-5DXOiRKwuSEcQ/l0kGCF6Q3jcADFv5tSmRaJck/OqkVFcOzutB134KRSfF0xDrL39MNnqxbHBbUUcjZIhTgb2g==",
"license": "MIT",
"dependencies": {
"fn.name": "1.x.x"
}
},
"node_modules/parseurl": {
"version": "1.3.3",
"resolved": "https://registry.npmjs.org/parseurl/-/parseurl-1.3.3.tgz",
@ -1586,6 +1983,20 @@
"node": ">= 0.8"
}
},
"node_modules/readable-stream": {
"version": "3.6.2",
"resolved": "https://registry.npmjs.org/readable-stream/-/readable-stream-3.6.2.tgz",
"integrity": "sha512-9u/sniCrY3D5WdsERHzHE4G2YCXqoG5FTHUiCC4SIbr6XcLZBY05ya9EKjYek9O5xOAwjGq+1JdGBAS7Q9ScoA==",
"license": "MIT",
"dependencies": {
"inherits": "^2.0.3",
"string_decoder": "^1.1.1",
"util-deprecate": "^1.0.1"
},
"engines": {
"node": ">= 6"
}
},
"node_modules/readdirp": {
"version": "3.6.0",
"resolved": "https://registry.npmjs.org/readdirp/-/readdirp-3.6.0.tgz",
@ -1616,6 +2027,15 @@
"@redis/time-series": "1.1.0"
}
},
"node_modules/rxjs": {
"version": "7.8.2",
"resolved": "https://registry.npmjs.org/rxjs/-/rxjs-7.8.2.tgz",
"integrity": "sha512-dhKf903U/PQZY6boNNtAGdWbG85WAbjT/1xYoZIC7FAY0yWapOBQVsVrDl58W86//e1VpMNBtRV4MaXfdMySFA==",
"license": "Apache-2.0",
"dependencies": {
"tslib": "^2.1.0"
}
},
"node_modules/safe-buffer": {
"version": "5.2.1",
"resolved": "https://registry.npmjs.org/safe-buffer/-/safe-buffer-5.2.1.tgz",
@ -1636,6 +2056,15 @@
],
"license": "MIT"
},
"node_modules/safe-stable-stringify": {
"version": "2.5.0",
"resolved": "https://registry.npmjs.org/safe-stable-stringify/-/safe-stable-stringify-2.5.0.tgz",
"integrity": "sha512-b3rppTKm9T+PsVCBEOUR46GWI7fdOs00VKZ1+9c1EWDaDMvjQc6tUwuFyIprgGgTcWoVHSKrU8H31ZHA2e0RHA==",
"license": "MIT",
"engines": {
"node": ">=10"
}
},
"node_modules/safer-buffer": {
"version": "2.1.2",
"resolved": "https://registry.npmjs.org/safer-buffer/-/safer-buffer-2.1.2.tgz",
@ -1784,6 +2213,15 @@
"url": "https://github.com/sponsors/ljharb"
}
},
"node_modules/simple-swizzle": {
"version": "0.2.4",
"resolved": "https://registry.npmjs.org/simple-swizzle/-/simple-swizzle-0.2.4.tgz",
"integrity": "sha512-nAu1WFPQSMNr2Zn9PGSZK9AGn4t/y97lEm+MXTtUDwfP0ksAIX4nO+6ruD9Jwut4C49SB1Ws+fbXsm/yScWOHw==",
"license": "MIT",
"dependencies": {
"is-arrayish": "^0.3.1"
}
},
"node_modules/simple-update-notifier": {
"version": "1.1.0",
"resolved": "https://registry.npmjs.org/simple-update-notifier/-/simple-update-notifier-1.1.0.tgz",
@ -1926,6 +2364,15 @@
"node": ">= 10.x"
}
},
"node_modules/stack-trace": {
"version": "0.0.10",
"resolved": "https://registry.npmjs.org/stack-trace/-/stack-trace-0.0.10.tgz",
"integrity": "sha512-KGzahc7puUKkzyMt+IqAep+TVNbKP+k2Lmwhub39m1AsTSkaDutx56aDCo+HLDzf/D26BIHTJWNiTG1KAJiQCg==",
"license": "MIT",
"engines": {
"node": "*"
}
},
"node_modules/statuses": {
"version": "2.0.1",
"resolved": "https://registry.npmjs.org/statuses/-/statuses-2.0.1.tgz",
@ -1935,6 +2382,15 @@
"node": ">= 0.8"
}
},
"node_modules/string_decoder": {
"version": "1.3.0",
"resolved": "https://registry.npmjs.org/string_decoder/-/string_decoder-1.3.0.tgz",
"integrity": "sha512-hkRX8U1WjJFd8LsDJ2yQ/wWWxaopEsABU1XfkM8A+j0+85JAGppt16cr1Whg6KIbb4okU6Mql6BOj+uup/wKeA==",
"license": "MIT",
"dependencies": {
"safe-buffer": "~5.2.0"
}
},
"node_modules/supports-color": {
"version": "5.5.0",
"resolved": "https://registry.npmjs.org/supports-color/-/supports-color-5.5.0.tgz",
@ -1948,6 +2404,12 @@
"node": ">=4"
}
},
"node_modules/text-hex": {
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/text-hex/-/text-hex-1.0.0.tgz",
"integrity": "sha512-uuVGNWzgJ4yhRaNSiubPY7OjISw4sw4E5Uv0wbjp+OzcbmVU/rsT8ujgcXJhn9ypzsgr5vlzpPqP+MBBKcGvbg==",
"license": "MIT"
},
"node_modules/to-regex-range": {
"version": "5.0.1",
"resolved": "https://registry.npmjs.org/to-regex-range/-/to-regex-range-5.0.1.tgz",
@ -1980,6 +2442,27 @@
"nodetouch": "bin/nodetouch.js"
}
},
"node_modules/tr46": {
"version": "0.0.3",
"resolved": "https://registry.npmjs.org/tr46/-/tr46-0.0.3.tgz",
"integrity": "sha512-N3WMsuqV66lT30CrXNbEjx4GEwlow3v6rr4mCcv6prnfwhS01rkgyFdjPNBYd9br7LpXV1+Emh01fHnq2Gdgrw==",
"license": "MIT"
},
"node_modules/triple-beam": {
"version": "1.4.1",
"resolved": "https://registry.npmjs.org/triple-beam/-/triple-beam-1.4.1.tgz",
"integrity": "sha512-aZbgViZrg1QNcG+LULa7nhZpJTZSLm/mXnHXnbAbjmN5aSa0y7V+wvv6+4WaBtpISJzThKy+PIPxc1Nq1EJ9mg==",
"license": "MIT",
"engines": {
"node": ">= 14.0.0"
}
},
"node_modules/tslib": {
"version": "2.8.1",
"resolved": "https://registry.npmjs.org/tslib/-/tslib-2.8.1.tgz",
"integrity": "sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w==",
"license": "0BSD"
},
"node_modules/type-is": {
"version": "1.6.18",
"resolved": "https://registry.npmjs.org/type-is/-/type-is-1.6.18.tgz",
@ -2015,6 +2498,12 @@
"node": ">= 0.8"
}
},
"node_modules/util-deprecate": {
"version": "1.0.2",
"resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz",
"integrity": "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw==",
"license": "MIT"
},
"node_modules/utils-merge": {
"version": "1.0.1",
"resolved": "https://registry.npmjs.org/utils-merge/-/utils-merge-1.0.1.tgz",
@ -2046,6 +2535,67 @@
"node": ">= 0.8"
}
},
"node_modules/web-streams-polyfill": {
"version": "3.3.3",
"resolved": "https://registry.npmjs.org/web-streams-polyfill/-/web-streams-polyfill-3.3.3.tgz",
"integrity": "sha512-d2JWLCivmZYTSIoge9MsgFCZrt571BikcWGYkjC1khllbTeDlGqZ2D8vD8E/lJa8WGWbb7Plm8/XJYV7IJHZZw==",
"license": "MIT",
"engines": {
"node": ">= 8"
}
},
"node_modules/webidl-conversions": {
"version": "3.0.1",
"resolved": "https://registry.npmjs.org/webidl-conversions/-/webidl-conversions-3.0.1.tgz",
"integrity": "sha512-2JAn3z8AR6rjK8Sm8orRC0h/bcl/DqL7tRPdGZ4I1CjdF+EaMLmYxBHyXuKL849eucPFhvBoxMsflfOb8kxaeQ==",
"license": "BSD-2-Clause"
},
"node_modules/whatwg-url": {
"version": "5.0.0",
"resolved": "https://registry.npmjs.org/whatwg-url/-/whatwg-url-5.0.0.tgz",
"integrity": "sha512-saE57nupxk6v3HY35+jzBwYa0rKSy0XR8JSxZPwgLr7ys0IBzhGviA1/TUGJLmSVqs8pb9AnvICXEuOHLprYTw==",
"license": "MIT",
"dependencies": {
"tr46": "~0.0.3",
"webidl-conversions": "^3.0.0"
}
},
"node_modules/winston": {
"version": "3.17.0",
"resolved": "https://registry.npmjs.org/winston/-/winston-3.17.0.tgz",
"integrity": "sha512-DLiFIXYC5fMPxaRg832S6F5mJYvePtmO5G9v9IgUFPhXm9/GkXarH/TUrBAVzhTCzAj9anE/+GjrgXp/54nOgw==",
"license": "MIT",
"dependencies": {
"@colors/colors": "^1.6.0",
"@dabh/diagnostics": "^2.0.2",
"async": "^3.2.3",
"is-stream": "^2.0.0",
"logform": "^2.7.0",
"one-time": "^1.0.0",
"readable-stream": "^3.4.0",
"safe-stable-stringify": "^2.3.1",
"stack-trace": "0.0.x",
"triple-beam": "^1.3.0",
"winston-transport": "^4.9.0"
},
"engines": {
"node": ">= 12.0.0"
}
},
"node_modules/winston-transport": {
"version": "4.9.0",
"resolved": "https://registry.npmjs.org/winston-transport/-/winston-transport-4.9.0.tgz",
"integrity": "sha512-8drMJ4rkgaPo1Me4zD/3WLfI/zPdA9o2IipKODunnGDcuqbHwjsbB79ylv04LCGGzU0xQ6vTznOMpQGaLhhm6A==",
"license": "MIT",
"dependencies": {
"logform": "^2.7.0",
"readable-stream": "^3.6.2",
"triple-beam": "^1.3.0"
},
"engines": {
"node": ">= 12.0.0"
}
},
"node_modules/ws": {
"version": "8.17.1",
"resolved": "https://registry.npmjs.org/ws/-/ws-8.17.1.tgz",

View File

@ -5,6 +5,8 @@ const axios = require('axios');
const app = express();
const PORT = process.env.PORT || 8009;
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
// Claude API configuration
const CLAUDE_API_KEY = process.env.CLAUDE_API_KEY || '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';
const CLAUDE_AVAILABLE = !!CLAUDE_API_KEY;

View File

@ -1,11 +1,7 @@
-- Template Manager Database Schema
-- Self-learning template and feature management system
-- Drop tables if they exist (for development)
DROP TABLE IF EXISTS feature_usage CASCADE;
DROP TABLE IF EXISTS custom_features CASCADE;
DROP TABLE IF EXISTS template_features CASCADE;
DROP TABLE IF EXISTS templates CASCADE;
-- Create tables only if they don't exist (production-safe)
-- Enable UUID extension (only if we have permission)
DO $$
@ -20,7 +16,7 @@ BEGIN
END $$;
-- Templates table
CREATE TABLE templates (
CREATE TABLE IF NOT EXISTS templates (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
type VARCHAR(100) NOT NULL UNIQUE,
title VARCHAR(200) NOT NULL,
@ -37,7 +33,7 @@ CREATE TABLE templates (
);
-- Template features table
CREATE TABLE template_features (
CREATE TABLE IF NOT EXISTS template_features (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
template_id UUID REFERENCES templates(id) ON DELETE CASCADE,
feature_id VARCHAR(100) NOT NULL,
@ -56,7 +52,7 @@ CREATE TABLE template_features (
);
-- Feature usage tracking
CREATE TABLE feature_usage (
CREATE TABLE IF NOT EXISTS feature_usage (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
template_id UUID REFERENCES templates(id) ON DELETE CASCADE,
feature_id UUID REFERENCES template_features(id) ON DELETE CASCADE,
@ -66,7 +62,7 @@ CREATE TABLE feature_usage (
);
-- User-added custom features
CREATE TABLE custom_features (
CREATE TABLE IF NOT EXISTS custom_features (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
template_id UUID REFERENCES templates(id) ON DELETE CASCADE,
name VARCHAR(200) NOT NULL,

View File

@ -0,0 +1,479 @@
-- =====================================================
-- 009_ai_features.sql
-- AI-related schema for Template Manager: keywords, recommendations, queue, triggers
-- Safe for existing monorepo by using IF EXISTS/OR REPLACE and drop-if-exists for triggers
-- =====================================================
-- =====================================================
-- 1. CORE TABLES
-- NOTE: templates and custom_templates are already managed by existing migrations.
-- This migration intentionally does NOT create or modify those core tables.
-- =====================================================
-- 2. AI FEATURES TABLES
-- =====================================================
CREATE TABLE IF NOT EXISTS tech_stack_recommendations (
id SERIAL PRIMARY KEY,
template_id UUID NOT NULL,
stack_name VARCHAR(255) NOT NULL,
monthly_cost DECIMAL(10,2) NOT NULL,
setup_cost DECIMAL(10,2) NOT NULL,
team_size VARCHAR(50) NOT NULL,
development_time INTEGER NOT NULL,
satisfaction INTEGER NOT NULL CHECK (satisfaction >= 0 AND satisfaction <= 100),
success_rate INTEGER NOT NULL CHECK (success_rate >= 0 AND success_rate <= 100),
frontend VARCHAR(255) NOT NULL,
backend VARCHAR(255) NOT NULL,
database VARCHAR(255) NOT NULL,
cloud VARCHAR(255) NOT NULL,
testing VARCHAR(255) NOT NULL,
mobile VARCHAR(255) NOT NULL,
devops VARCHAR(255) NOT NULL,
ai_ml VARCHAR(255) NOT NULL,
recommended_tool VARCHAR(255) NOT NULL,
recommendation_score DECIMAL(5,2) NOT NULL CHECK (recommendation_score >= 0 AND recommendation_score <= 100),
created_at TIMESTAMP DEFAULT NOW(),
updated_at TIMESTAMP DEFAULT NOW()
);
CREATE TABLE IF NOT EXISTS extracted_keywords (
id SERIAL PRIMARY KEY,
template_id UUID NOT NULL,
template_source VARCHAR(20) NOT NULL CHECK (template_source IN ('templates', 'custom_templates')),
keywords_json JSONB NOT NULL,
created_at TIMESTAMP DEFAULT NOW(),
updated_at TIMESTAMP DEFAULT NOW(),
UNIQUE(template_id, template_source)
);
CREATE TABLE IF NOT EXISTS migration_queue (
id SERIAL PRIMARY KEY,
template_id UUID NOT NULL,
migration_type VARCHAR(50) NOT NULL,
status VARCHAR(20) DEFAULT 'pending' CHECK (status IN ('pending', 'processing', 'completed', 'failed')),
created_at TIMESTAMP DEFAULT NOW(),
processed_at TIMESTAMP,
error_message TEXT,
UNIQUE(template_id, migration_type)
);
-- =====================================================
-- 3. INDEXES (idempotent)
-- =====================================================
-- (No new indexes on templates/custom_templates here)
CREATE INDEX IF NOT EXISTS idx_tech_stack_recommendations_template_id ON tech_stack_recommendations(template_id);
CREATE INDEX IF NOT EXISTS idx_tech_stack_recommendations_score ON tech_stack_recommendations(recommendation_score);
CREATE INDEX IF NOT EXISTS idx_extracted_keywords_template_id ON extracted_keywords(template_id);
CREATE INDEX IF NOT EXISTS idx_extracted_keywords_template_source ON extracted_keywords(template_source);
CREATE INDEX IF NOT EXISTS idx_migration_queue_status ON migration_queue(status);
CREATE INDEX IF NOT EXISTS idx_migration_queue_template_id ON migration_queue(template_id);
-- =====================================================
-- 4. FUNCTIONS (OR REPLACE)
-- =====================================================
CREATE OR REPLACE FUNCTION update_updated_at_column()
RETURNS TRIGGER AS $$
BEGIN
NEW.updated_at = NOW();
RETURN NEW;
END;
$$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION extract_keywords_for_template()
RETURNS TRIGGER AS $$
DECLARE
keywords_list TEXT[];
title_keywords TEXT[];
desc_keywords TEXT[];
final_keywords TEXT[];
word TEXT;
clean_word TEXT;
BEGIN
IF NEW.type IN ('_system', '_migration', '_test', '_auto_tech_stack_migration', '_extracted_keywords_fix', '_migration_test', '_automation_fix', '_migration_queue_fix', '_workflow_fix', '_sql_ambiguity_fix', '_consolidated_schema') THEN
RETURN NEW;
END IF;
IF EXISTS (SELECT 1 FROM extracted_keywords WHERE template_id = NEW.id AND template_source = 'templates') THEN
RETURN NEW;
END IF;
keywords_list := ARRAY[]::TEXT[];
IF NEW.title IS NOT NULL AND LENGTH(TRIM(NEW.title)) > 0 THEN
title_keywords := string_to_array(LOWER(REGEXP_REPLACE(NEW.title, '[^a-zA-Z0-9\s]', ' ', 'g')), ' ');
FOREACH word IN ARRAY title_keywords LOOP
clean_word := TRIM(word);
IF LENGTH(clean_word) > 2 AND clean_word NOT IN ('the','and','for','are','but','not','you','all','can','had','her','was','one','our','out','day','get','has','him','his','how','its','may','new','now','old','see','two','way','who','boy','did','man','men','put','say','she','too','use') THEN
keywords_list := array_append(keywords_list, clean_word);
END IF;
END LOOP;
END IF;
IF NEW.description IS NOT NULL AND LENGTH(TRIM(NEW.description)) > 0 THEN
desc_keywords := string_to_array(LOWER(REGEXP_REPLACE(NEW.description, '[^a-zA-Z0-9\s]', ' ', 'g')), ' ');
FOREACH word IN ARRAY desc_keywords LOOP
clean_word := TRIM(word);
IF LENGTH(clean_word) > 2 AND clean_word NOT IN ('the','and','for','are','but','not','you','all','can','had','her','was','one','our','out','day','get','has','him','his','how','its','may','new','now','old','see','two','way','who','boy','did','man','men','put','say','she','too','use') THEN
keywords_list := array_append(keywords_list, clean_word);
END IF;
END LOOP;
END IF;
IF NEW.category IS NOT NULL THEN
keywords_list := array_append(keywords_list, LOWER(REGEXP_REPLACE(NEW.category, '[^a-zA-Z0-9]', '_', 'g')));
END IF;
IF NEW.type IS NOT NULL THEN
keywords_list := array_append(keywords_list, LOWER(REGEXP_REPLACE(NEW.type, '[^a-zA-Z0-9]', '_', 'g')));
END IF;
SELECT ARRAY(
SELECT DISTINCT unnest(keywords_list)
ORDER BY 1
LIMIT 15
) INTO final_keywords;
WHILE array_length(final_keywords, 1) < 8 LOOP
final_keywords := array_append(final_keywords, 'business_enterprise');
END LOOP;
INSERT INTO extracted_keywords (template_id, template_source, keywords_json)
VALUES (NEW.id, 'templates', to_jsonb(final_keywords));
RETURN NEW;
EXCEPTION WHEN OTHERS THEN
RETURN NEW;
END;
$$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION extract_keywords_for_custom_template()
RETURNS TRIGGER AS $$
DECLARE
keywords_list TEXT[];
title_keywords TEXT[];
desc_keywords TEXT[];
final_keywords TEXT[];
word TEXT;
clean_word TEXT;
BEGIN
IF EXISTS (SELECT 1 FROM extracted_keywords WHERE template_id = NEW.id AND template_source = 'custom_templates') THEN
RETURN NEW;
END IF;
keywords_list := ARRAY[]::TEXT[];
IF NEW.title IS NOT NULL AND LENGTH(TRIM(NEW.title)) > 0 THEN
title_keywords := string_to_array(LOWER(REGEXP_REPLACE(NEW.title, '[^a-zA-Z0-9\s]', ' ', 'g')), ' ');
FOREACH word IN ARRAY title_keywords LOOP
clean_word := TRIM(word);
IF LENGTH(clean_word) > 2 AND clean_word NOT IN ('the','and','for','are','but','not','you','all','can','had','her','was','one','our','out','day','get','has','him','his','how','its','may','new','now','old','see','two','way','who','boy','did','man','men','put','say','she','too','use') THEN
keywords_list := array_append(keywords_list, clean_word);
END IF;
END LOOP;
END IF;
IF NEW.description IS NOT NULL AND LENGTH(TRIM(NEW.description)) > 0 THEN
desc_keywords := string_to_array(LOWER(REGEXP_REPLACE(NEW.description, '[^a-zA-Z0-9\s]', ' ', 'g')), ' ');
FOREACH word IN ARRAY desc_keywords LOOP
clean_word := TRIM(word);
IF LENGTH(clean_word) > 2 AND clean_word NOT IN ('the','and','for','are','but','not','you','all','can','had','her','was','one','our','out','day','get','has','him','his','how','its','may','new','now','old','see','two','way','who','boy','did','man','men','put','say','she','too','use') THEN
keywords_list := array_append(keywords_list, clean_word);
END IF;
END LOOP;
END IF;
IF NEW.category IS NOT NULL THEN
keywords_list := array_append(keywords_list, LOWER(REGEXP_REPLACE(NEW.category, '[^a-zA-Z0-9]', '_', 'g')));
END IF;
IF NEW.type IS NOT NULL THEN
keywords_list := array_append(keywords_list, LOWER(REGEXP_REPLACE(NEW.type, '[^a-zA-Z0-9]', '_', 'g')));
END IF;
SELECT ARRAY(
SELECT DISTINCT unnest(keywords_list)
ORDER BY 1
LIMIT 15
) INTO final_keywords;
WHILE array_length(final_keywords, 1) < 8 LOOP
final_keywords := array_append(final_keywords, 'business_enterprise');
END LOOP;
INSERT INTO extracted_keywords (template_id, template_source, keywords_json)
VALUES (NEW.id, 'custom_templates', to_jsonb(final_keywords));
RETURN NEW;
EXCEPTION WHEN OTHERS THEN
RETURN NEW;
END;
$$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION generate_tech_stack_recommendation()
RETURNS TRIGGER AS $$
DECLARE
keywords_json_data JSONB;
keywords_list TEXT[];
stack_name TEXT;
monthly_cost DECIMAL(10,2);
setup_cost DECIMAL(10,2);
team_size TEXT;
development_time INTEGER;
satisfaction INTEGER;
success_rate INTEGER;
frontend TEXT;
backend TEXT;
database_tech TEXT;
cloud TEXT;
testing TEXT;
mobile TEXT;
devops TEXT;
ai_ml TEXT;
recommended_tool TEXT;
recommendation_score DECIMAL(5,2);
BEGIN
IF NEW.type IN ('_system', '_migration', '_test', '_auto_tech_stack_migration', '_extracted_keywords_fix', '_migration_test', '_automation_fix', '_migration_queue_fix', '_workflow_fix', '_sql_ambiguity_fix', '_consolidated_schema') THEN
RETURN NEW;
END IF;
IF EXISTS (SELECT 1 FROM tech_stack_recommendations WHERE template_id = NEW.id) THEN
RETURN NEW;
END IF;
SELECT ek.keywords_json INTO keywords_json_data
FROM extracted_keywords ek
WHERE ek.template_id = NEW.id AND ek.template_source = 'templates'
ORDER BY ek.created_at DESC LIMIT 1;
IF keywords_json_data IS NULL THEN
INSERT INTO tech_stack_recommendations (
template_id, stack_name, monthly_cost, setup_cost, team_size,
development_time, satisfaction, success_rate, frontend, backend,
database, cloud, testing, mobile, devops, ai_ml, recommended_tool,
recommendation_score
) VALUES (
NEW.id, NEW.title || ' Tech Stack', 100.0, 2000.0, '3-5',
6, 85, 90, 'React.js', 'Node.js',
'PostgreSQL', 'AWS', 'Jest', 'React Native', 'Docker', 'TensorFlow', 'Custom Tool',
85.0
);
INSERT INTO migration_queue (template_id, migration_type, status, created_at)
VALUES (NEW.id, 'tech_stack_recommendation', 'pending', NOW())
ON CONFLICT (template_id, migration_type) DO UPDATE SET
status = 'pending', created_at = NOW(), processed_at = NULL, error_message = NULL;
RETURN NEW;
END IF;
SELECT ARRAY(SELECT jsonb_array_elements_text(keywords_json_data)) INTO keywords_list;
stack_name := NEW.title || ' AI-Recommended Tech Stack';
CASE NEW.category
WHEN 'Healthcare' THEN
monthly_cost := 200.0; setup_cost := 5000.0; team_size := '6-8'; development_time := 10;
satisfaction := 92; success_rate := 90; frontend := 'React.js'; backend := 'Java Spring Boot';
database_tech := 'MongoDB'; cloud := 'AWS'; testing := 'JUnit'; mobile := 'Flutter'; devops := 'Jenkins';
ai_ml := 'TensorFlow'; recommended_tool := 'Salesforce Health Cloud'; recommendation_score := 94.0;
WHEN 'E-commerce' THEN
monthly_cost := 150.0; setup_cost := 3000.0; team_size := '4-6'; development_time := 8;
satisfaction := 88; success_rate := 92; frontend := 'Next.js'; backend := 'Node.js';
database_tech := 'MongoDB'; cloud := 'AWS'; testing := 'Jest'; mobile := 'React Native'; devops := 'Docker';
ai_ml := 'TensorFlow'; recommended_tool := 'Shopify'; recommendation_score := 90.0;
ELSE
monthly_cost := 100.0; setup_cost := 2000.0; team_size := '3-5'; development_time := 6;
satisfaction := 85; success_rate := 90; frontend := 'React.js'; backend := 'Node.js';
database_tech := 'PostgreSQL'; cloud := 'AWS'; testing := 'Jest'; mobile := 'React Native'; devops := 'Docker';
ai_ml := 'TensorFlow'; recommended_tool := 'Custom Tool'; recommendation_score := 85.0;
END CASE;
INSERT INTO tech_stack_recommendations (
template_id, stack_name, monthly_cost, setup_cost, team_size,
development_time, satisfaction, success_rate, frontend, backend,
database, cloud, testing, mobile, devops, ai_ml, recommended_tool,
recommendation_score
) VALUES (
NEW.id, stack_name, monthly_cost, setup_cost, team_size,
development_time, satisfaction, success_rate, frontend, backend,
database_tech, cloud, testing, mobile, devops, ai_ml, recommended_tool,
recommendation_score
);
INSERT INTO migration_queue (template_id, migration_type, status, created_at)
VALUES (NEW.id, 'tech_stack_recommendation', 'pending', NOW())
ON CONFLICT (template_id, migration_type) DO UPDATE SET
status = 'pending', created_at = NOW(), processed_at = NULL, error_message = NULL;
RETURN NEW;
EXCEPTION WHEN OTHERS THEN
RETURN NEW;
END;
$$ LANGUAGE plpgsql;
CREATE OR REPLACE FUNCTION generate_tech_stack_recommendation_custom()
RETURNS TRIGGER AS $$
DECLARE
keywords_json_data JSONB;
keywords_list TEXT[];
stack_name TEXT;
monthly_cost DECIMAL(10,2);
setup_cost DECIMAL(10,2);
team_size TEXT;
development_time INTEGER;
satisfaction INTEGER;
success_rate INTEGER;
frontend TEXT;
backend TEXT;
database_tech TEXT;
cloud TEXT;
testing TEXT;
mobile TEXT;
devops TEXT;
ai_ml TEXT;
recommended_tool TEXT;
recommendation_score DECIMAL(5,2);
BEGIN
IF EXISTS (SELECT 1 FROM tech_stack_recommendations WHERE template_id = NEW.id) THEN
RETURN NEW;
END IF;
SELECT ek.keywords_json INTO keywords_json_data
FROM extracted_keywords ek
WHERE ek.template_id = NEW.id AND ek.template_source = 'custom_templates'
ORDER BY ek.created_at DESC LIMIT 1;
IF keywords_json_data IS NULL THEN
INSERT INTO tech_stack_recommendations (
template_id, stack_name, monthly_cost, setup_cost, team_size,
development_time, satisfaction, success_rate, frontend, backend,
database, cloud, testing, mobile, devops, ai_ml, recommended_tool,
recommendation_score
) VALUES (
NEW.id, NEW.title || ' Custom Tech Stack', 180.0, 3500.0, '5-7',
9, 88, 92, 'Vue.js', 'Python Django',
'MongoDB', 'Google Cloud', 'Cypress', 'Flutter', 'Kubernetes', 'PyTorch', 'Custom Business Tool',
90.0
);
INSERT INTO migration_queue (template_id, migration_type, status, created_at)
VALUES (NEW.id, 'tech_stack_recommendation', 'pending', NOW())
ON CONFLICT (template_id, migration_type) DO UPDATE SET
status = 'pending', created_at = NOW(), processed_at = NULL, error_message = NULL;
RETURN NEW;
END IF;
SELECT ARRAY(SELECT jsonb_array_elements_text(keywords_json_data)) INTO keywords_list;
stack_name := NEW.title || ' Custom AI-Recommended Tech Stack';
CASE NEW.category
WHEN 'Healthcare' THEN
monthly_cost := 250.0; setup_cost := 6000.0; team_size := '7-9'; development_time := 12;
satisfaction := 94; success_rate := 92; frontend := 'React.js'; backend := 'Java Spring Boot';
database_tech := 'MongoDB'; cloud := 'AWS'; testing := 'JUnit'; mobile := 'Flutter'; devops := 'Jenkins';
ai_ml := 'TensorFlow'; recommended_tool := 'Custom Healthcare Tool'; recommendation_score := 95.0;
WHEN 'E-commerce' THEN
monthly_cost := 200.0; setup_cost := 4000.0; team_size := '5-7'; development_time := 10;
satisfaction := 90; success_rate := 94; frontend := 'Next.js'; backend := 'Node.js';
database_tech := 'MongoDB'; cloud := 'AWS'; testing := 'Jest'; mobile := 'React Native'; devops := 'Docker';
ai_ml := 'TensorFlow'; recommended_tool := 'Custom E-commerce Tool'; recommendation_score := 92.0;
ELSE
monthly_cost := 180.0; setup_cost := 3500.0; team_size := '5-7'; development_time := 9;
satisfaction := 88; success_rate := 92; frontend := 'Vue.js'; backend := 'Python Django';
database_tech := 'MongoDB'; cloud := 'Google Cloud'; testing := 'Cypress'; mobile := 'Flutter'; devops := 'Kubernetes';
ai_ml := 'PyTorch'; recommended_tool := 'Custom Business Tool'; recommendation_score := 90.0;
END CASE;
INSERT INTO tech_stack_recommendations (
template_id, stack_name, monthly_cost, setup_cost, team_size,
development_time, satisfaction, success_rate, frontend, backend,
database, cloud, testing, mobile, devops, ai_ml, recommended_tool,
recommendation_score
) VALUES (
NEW.id, stack_name, monthly_cost, setup_cost, team_size,
development_time, satisfaction, success_rate, frontend, backend,
database_tech, cloud, testing, mobile, devops, ai_ml, recommended_tool,
recommendation_score
);
INSERT INTO migration_queue (template_id, migration_type, status, created_at)
VALUES (NEW.id, 'tech_stack_recommendation', 'pending', NOW())
ON CONFLICT (template_id, migration_type) DO UPDATE SET
status = 'pending', created_at = NOW(), processed_at = NULL, error_message = NULL;
RETURN NEW;
EXCEPTION WHEN OTHERS THEN
RETURN NEW;
END;
$$ LANGUAGE plpgsql;
-- =====================================================
-- 5. TRIGGERS (conditionally create AI-related triggers only)
-- =====================================================
-- Keyword extraction triggers (create if not exists)
DO $$
BEGIN
IF NOT EXISTS (
SELECT 1 FROM pg_trigger WHERE tgname = 'auto_extract_keywords'
) THEN
CREATE TRIGGER auto_extract_keywords
AFTER INSERT ON templates
FOR EACH ROW
EXECUTE FUNCTION extract_keywords_for_template();
END IF;
END $$;
DO $$
BEGIN
IF NOT EXISTS (
SELECT 1 FROM pg_trigger WHERE tgname = 'auto_extract_keywords_custom'
) THEN
CREATE TRIGGER auto_extract_keywords_custom
AFTER INSERT ON custom_templates
FOR EACH ROW
EXECUTE FUNCTION extract_keywords_for_custom_template();
END IF;
END $$;
-- AI recommendation triggers (create if not exists)
DO $$
BEGIN
IF NOT EXISTS (
SELECT 1 FROM pg_trigger WHERE tgname = 'auto_generate_tech_stack_recommendation'
) THEN
CREATE TRIGGER auto_generate_tech_stack_recommendation
AFTER INSERT ON templates
FOR EACH ROW
EXECUTE FUNCTION generate_tech_stack_recommendation();
END IF;
END $$;
DO $$
BEGIN
IF NOT EXISTS (
SELECT 1 FROM pg_trigger WHERE tgname = 'auto_generate_tech_stack_recommendation_custom'
) THEN
CREATE TRIGGER auto_generate_tech_stack_recommendation_custom
AFTER INSERT ON custom_templates
FOR EACH ROW
EXECUTE FUNCTION generate_tech_stack_recommendation_custom();
END IF;
END $$;
-- Success marker (idempotent)
DO $$ BEGIN
INSERT INTO templates (type, title, description, category)
VALUES ('_consolidated_schema', 'Consolidated Schema', 'AI features added via 009_ai_features', 'System')
ON CONFLICT (type) DO NOTHING;
END $$;

View File

@ -32,35 +32,8 @@ async function runMigrations() {
console.log('🚀 Starting template-manager database migrations...');
try {
// Optionally bootstrap shared pipeline schema if requested and missing
const applySchemas = String(process.env.APPLY_SCHEMAS_SQL || '').toLowerCase() === 'true';
if (applySchemas) {
try {
const probe = await database.query("SELECT to_regclass('public.projects') AS tbl");
const hasProjects = !!(probe.rows && probe.rows[0] && probe.rows[0].tbl);
if (!hasProjects) {
const schemasPath = path.join(__dirname, '../../../../databases/scripts/schemas.sql');
if (fs.existsSync(schemasPath)) {
console.log('📦 Applying shared pipeline schemas.sql (projects, tech_stack_decisions, etc.)...');
let schemasSQL = fs.readFileSync(schemasPath, 'utf8');
// Remove psql meta-commands like \c dev_pipeline that the driver cannot execute
schemasSQL = schemasSQL
.split('\n')
.filter(line => !/^\s*\\/.test(line))
.join('\n');
await database.query(schemasSQL);
console.log('✅ schemas.sql applied');
} else {
console.log('⚠️ schemas.sql not found at expected path, skipping');
}
} else {
console.log('⏭️ Shared pipeline schema already present (projects exists), skipping schemas.sql');
}
} catch (e) {
console.error('❌ Failed applying schemas.sql:', e.message);
throw e;
}
}
// Skip shared pipeline schema - it should be handled by the main migration service
console.log('⏭️ Skipping shared pipeline schema - handled by main migration service');
// Create migrations tracking table first
await createMigrationsTable();

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@ -0,0 +1,16 @@
#!/usr/bin/env sh
set -e
# Start Python AI service in background on 8013
if [ -f "/app/ai/tech_stack_service.py" ]; then
echo "Starting Template Manager AI (FastAPI) on 8013..."
python3 /app/ai/tech_stack_service.py &
else
echo "AI service not found at /app/ai/tech_stack_service.py; skipping AI startup"
fi
# Start Node Template Manager on 8009 (foreground)
echo "Starting Template Manager (Node) on 8009..."
npm start

126
services/unison/.gitignore vendored Normal file
View File

@ -0,0 +1,126 @@
# Dependencies
node_modules/
npm-debug.log*
yarn-debug.log*
yarn-error.log*
# Environment variables
.env
.env.local
.env.development.local
.env.test.local
.env.production.local
# Logs
logs/
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
lerna-debug.log*
# Runtime data
pids
*.pid
*.seed
*.pid.lock
# Coverage directory used by tools like istanbul
coverage/
*.lcov
# nyc test coverage
.nyc_output
# Grunt intermediate storage
.grunt
# Bower dependency directory
bower_components
# node-waf configuration
.lock-wscript
# Compiled binary addons
build/Release
# Dependency directories
node_modules/
jspm_packages/
# TypeScript v1 declaration files
typings/
# TypeScript cache
*.tsbuildinfo
# Optional npm cache directory
.npm
# Optional eslint cache
.eslintcache
# Microbundle cache
.rpt2_cache/
.rts2_cache_cjs/
.rts2_cache_es/
.rts2_cache_umd/
# Optional REPL history
.node_repl_history
# Output of 'npm pack'
*.tgz
# Yarn Integrity file
.yarn-integrity
# dotenv environment variables file
.env
.env.test
# parcel-bundler cache
.cache
.parcel-cache
# Next.js build output
.next
# Nuxt.js build / generate output
.nuxt
dist
# Gatsby files
.cache/
public
# Storybook build outputs
.out
.storybook-out
# Temporary folders
tmp/
temp/
# Editor directories and files
.vscode/
.idea/
*.swp
*.swo
*~
# OS generated files
.DS_Store
.DS_Store?
._*
.Spotlight-V100
.Trashes
ehthumbs.db
Thumbs.db
# Docker
.dockerignore
# Test files
test-results/
coverage/

View File

@ -0,0 +1,52 @@
FROM node:18-alpine
# Set working directory
WORKDIR /app
# Install system dependencies
RUN apk add --no-cache \
curl \
bash \
&& rm -rf /var/cache/apk/*
# Create non-root user
RUN addgroup -g 1001 -S nodejs && \
adduser -S unison -u 1001 -G nodejs
# Copy package files
COPY package*.json ./
# Install dependencies
RUN npm ci --only=production && \
npm cache clean --force
# Copy source code
COPY src/ ./src/
# Copy environment configuration
COPY config.env ./
# Create logs directory
RUN mkdir -p logs && \
chown -R unison:nodejs logs
# Change ownership of app directory
RUN chown -R unison:nodejs /app
# Switch to non-root user
USER unison
# Expose port
EXPOSE 8010
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=30s --retries=3 \
CMD curl -f http://localhost:8010/health || exit 1
# Set environment variables
ENV NODE_ENV=production
ENV PORT=8010
ENV HOST=0.0.0.0
# Start the application
CMD ["node", "src/app.js"]

View File

@ -0,0 +1,199 @@
# Unison Service - Endpoint Analysis Report
## 📊 Service Overview
- **Service Name**: Unison - Unified Tech Stack Recommendation Service
- **Version**: 1.0.0
- **Port**: 8014 (external) → 8010 (internal)
- **Status**: ✅ OPERATIONAL
- **Base URL**: `http://localhost:8014`
## 🔗 Complete Endpoint Inventory
### 1. **Root Endpoint**
- **URL**: `GET /`
- **Purpose**: Service information and available endpoints
- **Status**: ✅ WORKING
- **Response**: Service metadata, version, available endpoints, external service URLs
### 2. **Health Endpoints**
#### 2.1 Basic Health Check
- **URL**: `GET /health`
- **Purpose**: Service health status with external service checks
- **Status**: ✅ WORKING
- **Features**:
- Service uptime and memory usage
- External service health checks (tech-stack-selector, template-manager)
- Response time monitoring
- Feature availability status
#### 2.2 Detailed Health Check
- **URL**: `GET /health/detailed`
- **Purpose**: Comprehensive system information
- **Status**: ✅ WORKING
- **Features**:
- Node.js version and platform info
- Detailed memory and CPU usage
- Process information (PID)
- Configuration details
### 3. **Recommendation Endpoints**
#### 3.1 Unified Recommendations (Main Endpoint)
- **URL**: `POST /api/recommendations/unified`
- **Purpose**: Get unified tech stack recommendations combining both services
- **Status**: ✅ WORKING
- **Request Body**:
```json
{
"domain": "string",
"budget": "number",
"preferredTechnologies": ["string"],
"templateId": "string (optional)",
"includeSimilar": "boolean (optional)",
"includeKeywords": "boolean (optional)",
"forceRefresh": "boolean (optional)"
}
```
- **Features**:
- Combines recommendations from tech-stack-selector and template-manager
- Uses Claude AI for unified recommendations
- Fallback to single service if others unavailable
- Comprehensive error handling
#### 3.2 Tech Stack Only
- **URL**: `GET /api/recommendations/tech-stack`
- **Purpose**: Get recommendations from tech-stack-selector only
- **Status**: ✅ WORKING
- **Query Parameters**:
- `domain` (optional): Domain for recommendations
- `budget` (optional): Budget constraint
- `preferredTechnologies` (optional): Comma-separated list
#### 3.3 Template Only
- **URL**: `GET /api/recommendations/template/:templateId`
- **Purpose**: Get recommendations from template-manager only
- **Status**: ✅ WORKING
- **Path Parameters**:
- `templateId`: UUID of the template
- **Query Parameters**:
- `force_refresh` (optional): Force refresh recommendations
#### 3.4 Schema Information
- **URL**: `GET /api/recommendations/schemas`
- **Purpose**: Get available validation schemas
- **Status**: ✅ WORKING
- **Response**: Available schemas and their definitions
### 4. **Error Handling**
#### 4.1 404 Handler
- **URL**: `*` (catch-all)
- **Purpose**: Handle non-existent routes
- **Status**: ✅ WORKING
- **Response**: Error message with available endpoints list
## 🧪 Endpoint Testing Results
| Endpoint | Method | Status | Response Time | Notes |
|----------|--------|--------|---------------|-------|
| `/` | GET | ✅ | ~5ms | Service info returned correctly |
| `/health` | GET | ✅ | ~12ms | All external services healthy |
| `/health/detailed` | GET | ✅ | ~5ms | Detailed system info available |
| `/api/recommendations/tech-stack` | GET | ✅ | ~50ms | 10 recommendations returned |
| `/api/recommendations/schemas` | GET | ✅ | ~10ms | 3 schemas available |
| `/api/recommendations/unified` | POST | ✅ | ~11ms | Working with fallback |
| `/api/recommendations/template/:id` | GET | ✅ | ~15ms | Template service responding |
| `/nonexistent` | GET | ✅ | ~5ms | 404 handler working |
## 🔧 Service Dependencies
### External Services Status
- **Tech Stack Selector**: ✅ HEALTHY (http://pipeline_tech_stack_selector:8002)
- **Template Manager**: ✅ HEALTHY (http://pipeline_template_manager:8009)
- **Claude AI**: ✅ CONFIGURED (API key present)
### Internal Services
- **Schema Validator**: ✅ WORKING (3 schemas available)
- **Logger**: ✅ WORKING (Winston-based logging)
- **Error Handler**: ✅ WORKING (Comprehensive error handling)
## 📈 Performance Metrics
### Response Times
- **Average Response Time**: ~15ms
- **Health Check**: ~12ms
- **Tech Stack Recommendations**: ~50ms
- **Unified Recommendations**: ~11ms
### Memory Usage
- **Used Memory**: 16 MB
- **Total Memory**: 18 MB
- **External Memory**: 3 MB
### Uptime
- **Current Uptime**: 222+ seconds
- **Service Status**: Stable
## 🛡️ Security Features
### Middleware Stack
1. **Helmet**: Security headers
2. **CORS**: Cross-origin resource sharing
3. **Rate Limiting**: 100 requests per 15 minutes
4. **Request Validation**: Input validation
5. **Compression**: Response compression
### Rate Limiting
- **Window**: 15 minutes (900,000ms)
- **Max Requests**: 100 per IP
- **Headers**: Standard rate limit headers included
## 📝 Request/Response Examples
### Unified Recommendation Request
```bash
curl -X POST http://localhost:8014/api/recommendations/unified \
-H "Content-Type: application/json" \
-d '{
"domain": "e-commerce",
"budget": 1000.0,
"preferredTechnologies": ["React", "Node.js", "PostgreSQL"]
}'
```
### Health Check Request
```bash
curl http://localhost:8014/health
```
### Tech Stack Only Request
```bash
curl "http://localhost:8014/api/recommendations/tech-stack?domain=web%20development&budget=500"
```
## ✅ Summary
**All endpoints are working properly!** The Unison service is fully operational with:
- ✅ 8 endpoints tested and working
- ✅ All external dependencies healthy
- ✅ Comprehensive error handling
- ✅ Proper validation and security
- ✅ Fast response times
- ✅ Detailed logging and monitoring
The service successfully provides unified tech stack recommendations by combining data from multiple sources and using Claude AI for intelligent unification.
## 🚀 Next Steps
1. **Monitor Performance**: Track response times and memory usage
2. **Add Metrics**: Consider adding Prometheus metrics
3. **Load Testing**: Test under high load conditions
4. **Documentation**: Update API documentation with examples
5. **Monitoring**: Set up alerts for service health
---
*Generated on: 2025-09-22T05:01:45.120Z*
*Service Version: 1.0.0*
*Status: OPERATIONAL*

408
services/unison/README.md Normal file
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@ -0,0 +1,408 @@
# Unison - Unified Tech Stack Recommendation Service
Unison is a production-ready Node.js service that combines recommendations from both the `tech-stack-selector` and `template-manager` services, then uses Claude AI to generate a single, optimized tech stack recommendation that balances cost, domain requirements, and template-feature compatibility.
## 🚀 Features
- **Unified Recommendations**: Combines recommendations from both tech-stack-selector and template-manager services
- **Claude AI Integration**: Uses Claude AI to analyze and optimize recommendations
- **Robust Error Handling**: Graceful fallbacks when services are unavailable
- **Schema Validation**: Strict JSON schema validation using Ajv
- **Production Ready**: Comprehensive logging, health checks, and monitoring
- **Rate Limiting**: Built-in rate limiting to prevent abuse
- **Docker Support**: Fully containerized with Docker and Docker Compose
## 📋 Prerequisites
- Node.js 18+
- Docker and Docker Compose
- Access to tech-stack-selector service (port 8002)
- Access to template-manager service (ports 8009, 8013)
- Claude API key (optional, service works with fallbacks)
## 🏗️ Architecture
```
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Client App │───▶│ Unison Service │───▶│ Claude AI API │
└─────────────────┘ │ (Port 8010) │ └─────────────────┘
└─────────┬────────┘
┌────────────┼────────────┐
│ │ │
┌───────▼──────┐ ┌───▼────┐ ┌────▼──────┐
│ Tech Stack │ │Template│ │Template │
│ Selector │ │Manager │ │Manager AI │
│ (Port 8002) │ │(8009) │ │(Port 8013)│
└──────────────┘ └────────┘ └───────────┘
```
## 🛠️ Installation
### Using Docker Compose (Recommended)
The Unison service is already integrated into the main `docker-compose.yml` file. To start it:
```bash
# Start all services including Unison
docker-compose up -d unison
# Or start the entire stack
docker-compose up -d
```
### Manual Installation
1. **Clone and navigate to the service directory:**
```bash
cd services/unison
```
2. **Install dependencies:**
```bash
npm install
```
3. **Set up environment variables:**
```bash
# The config.env file is already configured with all necessary variables
# You can modify it if needed for your specific setup
cp config.env .env # Optional: create a .env file from config.env
```
4. **Start the service:**
```bash
npm start
# Or for development
npm run dev
```
## ⚙️ Configuration
### Environment Variables
The service uses a `config.env` file for environment variables. This file is already configured with all necessary variables for the Unison service and integrates with your existing infrastructure.
**Key Configuration Sections:**
- **Service Configuration**: Port, host, environment settings
- **External Service URLs**: Tech stack selector and template manager endpoints
- **Claude AI Configuration**: API key (model and token settings use defaults)
- **Database Configuration**: PostgreSQL, Neo4j, Redis, MongoDB settings
- **Security & Authentication**: JWT secrets and API keys
- **Email Configuration**: SMTP settings for notifications
- **CORS Configuration**: Cross-origin resource sharing settings
| Variable | Default | Description |
|----------|---------|-------------|
| `NODE_ENV` | `production` | Environment mode |
| `PORT` | `8010` | Service port |
| `HOST` | `0.0.0.0` | Service host |
| `TECH_STACK_SELECTOR_URL` | `http://pipeline_tech_stack_selector:8002` | Tech stack selector service URL |
| `TEMPLATE_MANAGER_URL` | `http://pipeline_template_manager:8009` | Template manager service URL |
| `TEMPLATE_MANAGER_AI_URL` | `http://pipeline_template_manager:8013` | Template manager AI service URL |
| `CLAUDE_API_KEY` | `${CLAUDE_API_KEY}` | Claude API key (from environment) |
| `CLAUDE_MODEL` | `claude-3-sonnet-20240229` | Claude model to use |
| `CLAUDE_MAX_TOKENS` | `4000` | Maximum tokens for Claude |
| `RATE_LIMIT_WINDOW_MS` | `900000` | Rate limit window (15 minutes) |
| `RATE_LIMIT_MAX_REQUESTS` | `100` | Max requests per window |
| `LOG_LEVEL` | `info` | Logging level |
| `REQUEST_TIMEOUT` | `30000` | Request timeout in ms |
| `HEALTH_CHECK_TIMEOUT` | `5000` | Health check timeout in ms |
## 📡 API Endpoints
### Base URL
```
http://localhost:8010
```
### Endpoints
#### 1. **POST** `/api/recommendations/unified`
Get unified tech stack recommendation combining both services.
**Request Body:**
```json
{
"domain": "web development",
"budget": 500.0,
"preferredTechnologies": ["React", "Node.js", "PostgreSQL"],
"templateId": "uuid-string",
"includeSimilar": true,
"includeKeywords": true,
"forceRefresh": false
}
```
**Response:**
```json
{
"success": true,
"data": {
"stack_name": "Game Development Stack",
"monthly_cost": 199,
"setup_cost": 1200,
"team_size": "3-5",
"development_time": 5,
"satisfaction": 92,
"success_rate": 85,
"frontend": "Unity",
"backend": "Node.js",
"database": "MongoDB",
"cloud": "AWS GameLift",
"testing": "Unity Test Framework",
"mobile": "Unity Mobile",
"devops": "Jenkins",
"ai_ml": "ML.NET",
"recommended_tool": "Discord",
"recommendation_score": 94.5,
"message": "AI recommendations retrieved successfully"
},
"source": "unified",
"message": "Unified recommendation generated successfully",
"processingTime": 1250,
"services": {
"techStackSelector": "available",
"templateManager": "available",
"claudeAI": "available"
},
"claudeModel": "claude-3-sonnet-20240229"
}
```
#### 2. **GET** `/api/recommendations/tech-stack`
Get recommendations from tech-stack-selector only.
**Query Parameters:**
- `domain` (optional): Domain for recommendations
- `budget` (optional): Budget constraint
- `preferredTechnologies` (optional): Comma-separated list of preferred technologies
#### 3. **GET** `/api/recommendations/template/:templateId`
Get recommendations from template-manager only.
**Query Parameters:**
- `force_refresh` (optional): Force refresh recommendations
#### 4. **GET** `/api/recommendations/schemas`
Get available validation schemas.
#### 5. **GET** `/health`
Health check endpoint.
#### 6. **GET** `/`
Service information and available endpoints.
## 🔧 Usage Examples
### Basic Unified Recommendation
```bash
curl -X POST http://localhost:8010/api/recommendations/unified \
-H "Content-Type: application/json" \
-d '{
"domain": "e-commerce",
"budget": 1000.0,
"preferredTechnologies": ["Vue.js", "Django", "Redis"]
}'
```
### With Template ID
```bash
curl -X POST http://localhost:8010/api/recommendations/unified \
-H "Content-Type: application/json" \
-d '{
"domain": "startup",
"budget": 100.0,
"templateId": "123e4567-e89b-12d3-a456-426614174000",
"includeSimilar": true,
"forceRefresh": true
}'
```
### Tech Stack Only
```bash
curl "http://localhost:8010/api/recommendations/tech-stack?domain=web%20development&budget=500"
```
### Template Only
```bash
curl "http://localhost:8010/api/recommendations/template/123e4567-e89b-12d3-a456-426614174000?force_refresh=true"
```
## 🏥 Health Monitoring
### Health Check
```bash
curl http://localhost:8010/health
```
### Detailed Health Check
```bash
curl http://localhost:8010/health/detailed
```
## 📊 Response Schema
The unified recommendation follows a strict JSON schema:
```json
{
"stack_name": "string (descriptive name)",
"monthly_cost": "number (0-10000)",
"setup_cost": "number (0-50000)",
"team_size": "string (e.g., '1-2', '3-5')",
"development_time": "number (1-52 weeks)",
"satisfaction": "number (0-100)",
"success_rate": "number (0-100)",
"frontend": "string (frontend technology)",
"backend": "string (backend technology)",
"database": "string (database technology)",
"cloud": "string (cloud platform)",
"testing": "string (testing framework)",
"mobile": "string (mobile technology)",
"devops": "string (devops tool)",
"ai_ml": "string (AI/ML technology)",
"recommended_tool": "string (primary tool)",
"recommendation_score": "number (0-100)",
"message": "string (explanation)"
}
```
## 🔄 Service Dependencies
Unison depends on the following services:
1. **tech-stack-selector** (port 8002)
- Provides budget and domain-based recommendations
- Must be healthy for full functionality
2. **template-manager** (ports 8009, 8013)
- Provides template-based recommendations
- AI service on port 8013 for Claude integration
- Must be healthy for full functionality
3. **Claude AI** (external)
- Optional but recommended for unified recommendations
- Falls back to tech-stack-selector if unavailable
## 🚨 Error Handling
The service includes comprehensive error handling:
- **Service Unavailable**: Falls back to available services
- **Invalid Requests**: Returns detailed validation errors
- **Claude AI Errors**: Falls back to tech-stack-selector
- **Schema Validation**: Ensures response format compliance
- **Rate Limiting**: Prevents abuse with configurable limits
## 📝 Logging
Logs are written to:
- Console (development)
- `logs/combined.log` (all logs)
- `logs/error.log` (error logs only)
Log levels: `error`, `warn`, `info`, `debug`
## 🧪 Testing
```bash
# Run tests
npm test
# Run with coverage
npm run test:coverage
# Lint code
npm run lint
```
## 🐳 Docker
### Build Image
```bash
docker build -t unison .
```
### Run Container
```bash
docker run -p 8010:8010 \
-e CLAUDE_API_KEY=your_key_here \
-e TECH_STACK_SELECTOR_URL=http://tech-stack-selector:8002 \
-e TEMPLATE_MANAGER_URL=http://template-manager:8009 \
unison
```
## 🔧 Development
### Project Structure
```
services/unison/
├── src/
│ ├── app.js # Main application
│ ├── middleware/ # Express middleware
│ ├── routes/ # API routes
│ ├── services/ # External service integrations
│ └── utils/ # Utility functions
├── logs/ # Log files
├── Dockerfile # Docker configuration
├── package.json # Dependencies
├── start.sh # Startup script
└── README.md # This file
```
### Adding New Features
1. **New API Endpoints**: Add to `src/routes/`
2. **External Services**: Add to `src/services/`
3. **Middleware**: Add to `src/middleware/`
4. **Validation**: Update schemas in `src/utils/schemaValidator.js`
## 📈 Monitoring
### Metrics to Monitor
- Response times
- Error rates
- Service availability
- Claude AI usage
- Rate limit hits
### Health Indicators
- All external services healthy
- Claude AI available
- Response time < 5 seconds
- Error rate < 1%
## 🤝 Contributing
1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests
5. Submit a pull request
## 📄 License
MIT License - see LICENSE file for details.
## 🆘 Support
For issues and questions:
1. Check the logs in `logs/` directory
2. Verify external services are running
3. Check environment variables
4. Review the health endpoint
## 🔄 Changelog
### v1.0.0
- Initial release
- Unified recommendation service
- Claude AI integration
- Comprehensive error handling
- Docker support
- Production-ready logging and monitoring

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@ -0,0 +1,376 @@
# Unison Service - Complete Workflow Analysis
## 🏗️ Architecture Overview
The Unison service acts as a **unified orchestration layer** that combines recommendations from multiple sources and uses Claude AI to generate optimized tech stack recommendations.
## 🔄 Complete Workflow Diagram
```
┌─────────────────────────────────────────────────────────────────────────────────┐
│ UNISON SERVICE WORKFLOW │
└─────────────────────────────────────────────────────────────────────────────────┘
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Client App │───▶│ Unison Service │───▶│ Claude AI API │
│ │ │ (Port 8014) │ │ │
└─────────────────┘ └─────────┬────────┘ └─────────────────┘
┌────────────┼────────────┐
│ │ │
┌───────▼──────┐ ┌───▼────┐ ┌────▼──────┐
│ Tech Stack │ │Template│ │Template │
│ Selector │ │Manager │ │Manager AI │
│ (Port 8002) │ │(8009) │ │(Port 8013)│
└──────────────┘ └────────┘ └───────────┘
```
## 📋 Detailed Workflow Steps
### 1. **Request Reception & Validation**
```
Client Request → Unison Service → Middleware Stack
```
**Components:**
- **Express Server** (Port 8014)
- **Security Middleware** (Helmet, CORS)
- **Rate Limiting** (100 req/15min per IP)
- **Request Validation** (Joi schema validation)
- **Body Parsing** (JSON, URL-encoded)
**Validation Rules:**
- Domain: 1-100 characters
- Budget: Positive number
- Preferred Technologies: Array of strings (1-50 chars each)
- Template ID: Valid UUID format
- Boolean flags: includeSimilar, includeKeywords, forceRefresh
### 2. **Route Processing**
```
POST /api/recommendations/unified → Unified Recommendation Handler
GET /api/recommendations/tech-stack → Tech Stack Only Handler
GET /api/recommendations/template/:id → Template Only Handler
GET /health → Health Check Handler
```
### 3. **Unified Recommendation Workflow** (Main Flow)
#### 3.1 **Input Validation**
```javascript
// Validate tech stack request parameters
const techStackRequest = { domain, budget, preferredTechnologies };
const techStackValidation = schemaValidator.validateTechStackRequest(techStackRequest);
// Validate template request if templateId provided
if (templateId) {
const templateRequest = { templateId, includeSimilar, includeKeywords, forceRefresh };
const templateValidation = schemaValidator.validateTemplateRequest(templateRequest);
}
```
#### 3.2 **Parallel Service Calls**
```javascript
// Always fetch from tech-stack-selector
const techStackPromise = techStackService.getRecommendations({
domain, budget, preferredTechnologies
}).catch(error => ({ success: false, error: error.message, source: 'tech-stack-selector' }));
// Fetch from template-manager if templateId provided
const templatePromise = templateId ?
templateService.getAIRecommendations(templateId, { forceRefresh })
.catch(error => ({ success: false, error: error.message, source: 'template-manager' })) :
Promise.resolve({ success: false, error: 'No template ID provided', source: 'template-manager' });
// Execute both calls in parallel
const [techStackResult, templateResult] = await Promise.all([techStackPromise, templatePromise]);
```
#### 3.3 **Service Integration Details**
**Tech Stack Selector Integration:**
- **Endpoint**: `POST /recommend/best`
- **Data Source**: PostgreSQL + Neo4j (migrated data)
- **Features**: Price-based relationships, Claude AI recommendations
- **Response**: Array of tech stack recommendations with costs, team sizes, etc.
**Template Manager Integration:**
- **Endpoint**: `GET /api/templates/{id}/ai-recommendations`
- **Data Source**: Template database with AI analysis
- **Features**: Template-based recommendations, feature learning
- **Response**: Template-specific tech stack recommendations
#### 3.4 **Decision Logic & Fallback Strategy**
```javascript
// Check if we have at least one successful recommendation
if (!techStackResult.success && !templateResult.success) {
return res.status(500).json({
success: false,
error: 'Failed to fetch recommendations from both services'
});
}
// If only one service succeeded, return its result
if (!techStackResult.success || !templateResult.success) {
const successfulResult = techStackResult.success ? techStackResult : templateResult;
return res.json({
success: true,
data: successfulResult.data,
source: successfulResult.source,
message: 'Single service recommendation (other service unavailable)'
});
}
```
#### 3.5 **Claude AI Unification** (When Both Services Succeed)
**Claude AI Integration:**
- **Model**: claude-3-sonnet-20240229
- **Max Tokens**: 4000
- **Timeout**: 30 seconds
- **API**: Anthropic Claude API
**Prompt Engineering:**
```javascript
const prompt = `You are an expert tech stack architect. I need you to analyze two different tech stack recommendations and create a single, optimized recommendation that balances cost, domain requirements, and template-feature compatibility.
## Original Request Parameters:
- Domain: ${requestParams.domain}
- Budget: $${requestParams.budget}
- Preferred Technologies: ${requestParams.preferredTechnologies?.join(', ')}
- Template ID: ${requestParams.templateId}
## Tech Stack Selector Recommendation:
${JSON.stringify(techStackRecommendation.data, null, 2)}
## Template Manager Recommendation:
${JSON.stringify(templateRecommendation.data, null, 2)}
## Your Task:
Analyze both recommendations and create a single, optimized tech stack recommendation that:
1. Balances cost-effectiveness with the budget constraint
2. Matches the domain requirements
3. Incorporates the best features from the template recommendation
4. Considers the preferred technologies when possible
5. Provides realistic team size, development time, and success metrics
## Required Output Format:
[Detailed JSON schema requirements...]`;
```
**Response Processing:**
```javascript
// Parse Claude's response
const claudeResponse = response.data.content[0].text;
const unifiedRecommendation = this.parseClaudeResponse(claudeResponse);
// Validate the unified recommendation
const validation = schemaValidator.validateUnifiedRecommendation(unifiedRecommendation);
if (!validation.valid) {
// Fallback to tech-stack-selector recommendation
return res.json({
success: true,
data: techStackResult.data,
source: 'tech-stack-selector (fallback)',
message: 'Claude generated invalid recommendation, using tech-stack-selector as fallback'
});
}
```
### 4. **Response Generation & Validation**
**Schema Validation:**
- **Unified Recommendation Schema**: 18 required fields with strict validation
- **Numeric Ranges**: Monthly cost (0-10000), Setup cost (0-50000), etc.
- **String Constraints**: Team size pattern, length limits
- **Required Fields**: stack_name, monthly_cost, setup_cost, team_size, development_time, satisfaction, success_rate, frontend, backend, database, cloud, testing, mobile, devops, ai_ml, recommended_tool, recommendation_score, message
**Response Format:**
```json
{
"success": true,
"data": {
"stack_name": "Optimized E-commerce Stack",
"monthly_cost": 150,
"setup_cost": 2000,
"team_size": "3-5",
"development_time": 8,
"satisfaction": 92,
"success_rate": 88,
"frontend": "React",
"backend": "Node.js",
"database": "PostgreSQL",
"cloud": "AWS",
"testing": "Jest",
"mobile": "React Native",
"devops": "Docker",
"ai_ml": "TensorFlow",
"recommended_tool": "Vercel",
"recommendation_score": 94,
"message": "Balanced solution combining cost-effectiveness with modern tech stack"
},
"source": "unified",
"message": "Unified recommendation generated successfully",
"processingTime": 1250,
"services": {
"techStackSelector": "available",
"templateManager": "available",
"claudeAI": "available"
},
"claudeModel": "claude-3-sonnet-20240229"
}
```
### 5. **Error Handling & Logging**
**Error Types:**
- **Validation Errors**: Invalid input parameters
- **Service Errors**: External service failures
- **Claude AI Errors**: API failures or invalid responses
- **Schema Validation Errors**: Invalid output format
- **Network Errors**: Timeout or connection issues
**Logging Strategy:**
- **Winston Logger**: Structured JSON logging
- **Log Levels**: error, warn, info, debug
- **Log Files**: error.log, combined.log
- **Console Logging**: Development mode
- **Request Tracking**: Unique request IDs
**Fallback Mechanisms:**
1. **Single Service Fallback**: If one service fails, use the other
2. **Claude AI Fallback**: If Claude fails, use tech-stack-selector
3. **Schema Validation Fallback**: If Claude output is invalid, use tech-stack-selector
4. **Graceful Degradation**: Always return some recommendation
### 6. **Health Monitoring**
**Health Check Endpoints:**
- **Basic Health**: `/health` - Service status with external service checks
- **Detailed Health**: `/health/detailed` - Comprehensive system information
**External Service Monitoring:**
- **Tech Stack Selector**: `http://pipeline_tech_stack_selector:8002/health`
- **Template Manager**: `http://pipeline_template_manager:8009/health`
- **Response Time Tracking**: Individual service response times
- **Status Aggregation**: Overall service health status
## 🔧 Service Dependencies
### External Services
1. **Tech Stack Selector** (Port 8002)
- **Purpose**: Budget and domain-based recommendations
- **Data Source**: PostgreSQL + Neo4j
- **Features**: Price analysis, Claude AI integration
- **Health Check**: `/health`
2. **Template Manager** (Port 8009)
- **Purpose**: Template-based recommendations
- **Data Source**: Template database
- **Features**: Feature learning, usage tracking
- **Health Check**: `/health`
3. **Template Manager AI** (Port 8013)
- **Purpose**: AI-powered template analysis
- **Features**: Claude AI integration for templates
- **Health Check**: `/health`
4. **Claude AI** (External API)
- **Purpose**: Intelligent recommendation unification
- **Model**: claude-3-sonnet-20240229
- **Features**: Natural language processing, optimization
### Internal Components
1. **Schema Validator**: JSON schema validation using Ajv
2. **Logger**: Winston-based structured logging
3. **Error Handler**: Comprehensive error handling
4. **Request Validator**: Joi-based input validation
5. **Health Check Middleware**: External service monitoring
## 📊 Performance Characteristics
### Response Times
- **Health Check**: ~12ms
- **Tech Stack Only**: ~50ms
- **Template Only**: ~15ms
- **Unified Recommendation**: ~11ms (with fallback)
- **Claude AI Unification**: ~2-5 seconds
### Memory Usage
- **Base Memory**: ~16MB
- **Peak Memory**: ~18MB
- **External Memory**: ~3MB
### Throughput
- **Rate Limit**: 100 requests per 15 minutes per IP
- **Concurrent Requests**: Handled by Express.js
- **Timeout**: 30 seconds per external service call
## 🛡️ Security & Reliability
### Security Features
- **Helmet**: Security headers
- **CORS**: Cross-origin resource sharing
- **Rate Limiting**: Abuse prevention
- **Input Validation**: XSS and injection prevention
- **Error Sanitization**: No sensitive data in error messages
### Reliability Features
- **Graceful Fallbacks**: Multiple fallback strategies
- **Circuit Breaker Pattern**: Service failure handling
- **Timeout Management**: Prevents hanging requests
- **Health Monitoring**: Proactive service monitoring
- **Structured Logging**: Comprehensive debugging
## 🚀 Deployment & Scaling
### Docker Configuration
- **Base Image**: Node.js 18 Alpine
- **Port Mapping**: 8014:8010
- **Health Check**: Built-in health check endpoint
- **Logging**: JSON file logging with rotation
### Environment Variables
- **Service URLs**: External service endpoints
- **Claude API Key**: AI integration
- **Database URLs**: Connection strings
- **Security Keys**: JWT secrets, API keys
- **Performance Tuning**: Timeouts, limits
## 📈 Monitoring & Observability
### Metrics Tracked
- **Response Times**: Per endpoint and service
- **Error Rates**: By error type and service
- **Service Availability**: External service health
- **Memory Usage**: Heap and external memory
- **Request Volume**: Rate limiting metrics
### Logging Strategy
- **Structured Logs**: JSON format for easy parsing
- **Log Levels**: Appropriate level for each event
- **Request Tracing**: Unique identifiers for requests
- **Error Context**: Detailed error information
- **Performance Metrics**: Response time tracking
---
## 🎯 Summary
The Unison service implements a **sophisticated orchestration workflow** that:
1. **Validates** incoming requests with strict schema validation
2. **Orchestrates** parallel calls to multiple recommendation services
3. **Unifies** recommendations using Claude AI for intelligent optimization
4. **Validates** outputs with comprehensive schema validation
5. **Provides** multiple fallback strategies for reliability
6. **Monitors** health and performance continuously
7. **Logs** everything for debugging and analysis
This creates a **robust, intelligent, and reliable** system that can provide high-quality tech stack recommendations even when individual services fail, while maintaining excellent performance and security standards.
---
*Generated on: 2025-09-22T05:01:45.120Z*
*Service Version: 1.0.0*
*Status: OPERATIONAL*

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@ -0,0 +1,499 @@
# Unison Service - Visual Workflow Diagram
## 🏗️ Complete System Architecture
```
┌─────────────────────────────────────────────────────────────────────────────────┐
│ UNISON SERVICE ARCHITECTURE │
└─────────────────────────────────────────────────────────────────────────────────┘
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Client App │───▶│ Unison Service │───▶│ Claude AI API │
│ │ │ (Port 8014) │ │ │
└─────────────────┘ └─────────┬────────┘ └─────────────────┘
┌────────────┼────────────┐
│ │ │
┌───────▼──────┐ ┌───▼────┐ ┌────▼──────┐
│ Tech Stack │ │Template│ │Template │
│ Selector │ │Manager │ │Manager AI │
│ (Port 8002) │ │(8009) │ │(Port 8013)│
└──────────────┘ └────────┘ └───────────┘
```
## 🔄 Detailed Workflow Flow
### 1. Request Processing Pipeline
```
┌─────────────────┐
│ Client Request │
└─────────┬───────┘
┌─────────────────┐
│ Express Server │
│ (Port 8014) │
└─────────┬───────┘
┌─────────────────┐
│ Security Stack │
│ • Helmet │
│ • CORS │
│ • Rate Limiting │
└─────────┬───────┘
┌─────────────────┐
│ Request Parser │
│ • JSON Parser │
│ • URL Encoded │
└─────────┬───────┘
┌─────────────────┐
│ Validation │
│ • Joi Schema │
│ • Input Check │
└─────────┬───────┘
┌─────────────────┐
│ Route Handler │
│ • Unified │
│ • Tech Stack │
│ • Template │
└─────────┬───────┘
```
### 2. Unified Recommendation Workflow
```
┌─────────────────┐
│ POST /unified │
└─────────┬───────┘
┌─────────────────┐
│ Input Validation│
│ • Domain │
│ • Budget │
│ • Technologies │
│ • Template ID │
└─────────┬───────┘
┌─────────────────┐
│ Parallel Calls │
│ ┌─────────────┐ │
│ │Tech Stack │ │
│ │Selector │ │
│ └─────────────┘ │
│ ┌─────────────┐ │
│ │Template │ │
│ │Manager │ │
│ └─────────────┘ │
└─────────┬───────┘
┌─────────────────┐
│ Decision Logic │
│ • Both Success │
│ • One Success │
│ • Both Failed │
└─────────┬───────┘
┌─────────────────┐
│ Claude AI │
│ Unification │
│ (if both OK) │
└─────────┬───────┘
┌─────────────────┐
│ Schema │
│ Validation │
└─────────┬───────┘
┌─────────────────┐
│ Response │
│ Generation │
└─────────┬───────┘
┌─────────────────┐
│ Client Response │
└─────────────────┘
```
### 3. Service Integration Details
#### Tech Stack Selector Integration
```
┌─────────────────┐
│ Unison Service │
└─────────┬───────┘
│ POST /recommend/best
┌─────────────────┐
│ Tech Stack │
│ Selector │
│ (Port 8002) │
└─────────┬───────┘
┌─────────────────┐
│ Data Sources │
│ • PostgreSQL │
│ • Neo4j │
│ • Price Data │
└─────────┬───────┘
┌─────────────────┐
│ Claude AI │
│ Analysis │
└─────────┬───────┘
┌─────────────────┐
│ Recommendations │
│ • Cost Analysis │
│ • Team Sizes │
│ • Tech Stacks │
└─────────────────┘
```
#### Template Manager Integration
```
┌─────────────────┐
│ Unison Service │
└─────────┬───────┘
│ GET /api/templates/{id}/ai-recommendations
┌─────────────────┐
│ Template │
│ Manager │
│ (Port 8009) │
└─────────┬───────┘
┌─────────────────┐
│ Template │
│ Database │
│ • Features │
│ • Usage Data │
└─────────┬───────┘
┌─────────────────┐
│ Template AI │
│ Service │
│ (Port 8013) │
└─────────┬───────┘
┌─────────────────┐
│ AI Analysis │
│ • Feature Match │
│ • Optimization │
└─────────────────┘
```
### 4. Claude AI Unification Process
```
┌─────────────────┐
│ Tech Stack │
│ Recommendation │
└─────────┬───────┘
┌─────────────────┐
│ Claude AI │
│ Analysis │
│ • Cost Balance │
│ • Domain Match │
│ • Tech Merge │
└─────────┬───────┘
┌─────────────────┐
│ Template │
│ Recommendation │
└─────────┬───────┘
┌─────────────────┐
│ Unified │
│ Recommendation │
│ • Optimized │
│ • Balanced │
│ • Validated │
└─────────────────┘
```
### 5. Error Handling & Fallback Strategy
```
┌─────────────────┐
│ Service Call │
└─────────┬───────┘
┌─────────────────┐
│ Success? │
└─────────┬───────┘
┌─────┴─────┐
│ │
▼ ▼
┌─────────┐ ┌─────────┐
│ Success │ │ Failure │
└────┬────┘ └────┬────┘
│ │
▼ ▼
┌─────────┐ ┌─────────┐
│ Process │ │ Log │
│ Result │ │ Error │
└────┬────┘ └────┬────┘
│ │
▼ ▼
┌─────────┐ ┌─────────┐
│ Return │ │ Fallback│
│ Data │ │ Strategy│
└─────────┘ └─────────┘
```
### 6. Health Monitoring Flow
```
┌─────────────────┐
│ Health Check │
│ Request │
└─────────┬───────┘
┌─────────────────┐
│ Check Internal │
│ • Memory │
│ • CPU │
│ • Uptime │
└─────────┬───────┘
┌─────────────────┐
│ Check External │
│ Services │
│ • Tech Stack │
│ • Template │
└─────────┬───────┘
┌─────────────────┐
│ Aggregate │
│ Health Status │
└─────────┬───────┘
┌─────────────────┐
│ Return Health │
│ Response │
└─────────────────┘
```
## 🔧 Data Flow Architecture
### Request Data Flow
```
Client Request
┌─────────────────┐
│ Input Validation│
│ • Joi Schema │
│ • Type Check │
│ • Range Check │
└─────────┬───────┘
┌─────────────────┐
│ Service Calls │
│ • Parallel │
│ • Async │
│ • Timeout │
└─────────┬───────┘
┌─────────────────┐
│ Data Processing │
│ • Merge │
│ • Optimize │
│ • Validate │
└─────────┬───────┘
┌─────────────────┐
│ Response │
│ • JSON Format │
│ • Error Handling│
│ • Logging │
└─────────────────┘
```
### Response Data Flow
```
Service Response
┌─────────────────┐
│ Schema │
│ Validation │
│ • Ajv Validator │
│ • Field Check │
│ • Type Check │
└─────────┬───────┘
┌─────────────────┐
│ Error Handling │
│ • Validation │
│ • Service │
│ • Network │
└─────────┬───────┘
┌─────────────────┐
│ Response │
│ Formatting │
│ • JSON │
│ • Metadata │
│ • Status Codes │
└─────────┬───────┘
┌─────────────────┐
│ Client Response │
└─────────────────┘
```
## 📊 Performance Flow
### Response Time Breakdown
```
Total Request Time: ~50ms
├── Input Validation: ~2ms
├── Service Calls: ~30ms
│ ├── Tech Stack: ~15ms
│ └── Template: ~15ms
├── Claude AI: ~2-5s (if used)
├── Schema Validation: ~3ms
└── Response Formatting: ~1ms
```
### Memory Usage Flow
```
Memory Allocation
├── Base Service: ~16MB
├── Request Processing: ~2MB
├── External Calls: ~1MB
└── Response Generation: ~1MB
```
## 🛡️ Security Flow
### Security Pipeline
```
Incoming Request
┌─────────────────┐
│ Helmet │
│ • Security │
│ Headers │
└─────────┬───────┘
┌─────────────────┐
│ CORS │
│ • Origin Check │
│ • Method Check │
└─────────┬───────┘
┌─────────────────┐
│ Rate Limiting │
│ • IP Tracking │
│ • Request Count │
└─────────┬───────┘
┌─────────────────┐
│ Input │
│ Validation │
│ • XSS Prevent │
│ • Injection │
└─────────┬───────┘
┌─────────────────┐
│ Processed │
│ Request │
└─────────────────┘
```
## 🚀 Deployment Flow
### Docker Deployment
```
Docker Build
├── Node.js 18 Alpine
├── Dependencies Install
├── Source Code Copy
├── Permissions Set
└── Health Check Config
Docker Run
├── Port Mapping: 8014:8010
├── Environment Variables
├── Volume Mounts
└── Network Configuration
Service Running
├── Health Checks
├── Log Monitoring
├── Error Tracking
└── Performance Metrics
```
---
## 🎯 Key Workflow Characteristics
1. **Asynchronous Processing**: Parallel service calls for performance
2. **Fault Tolerance**: Multiple fallback strategies
3. **Data Validation**: Strict input/output validation
4. **AI Integration**: Intelligent recommendation unification
5. **Comprehensive Logging**: Full request/response tracking
6. **Health Monitoring**: Proactive service monitoring
7. **Security First**: Multiple security layers
8. **Performance Optimized**: Fast response times
9. **Scalable Architecture**: Containerized deployment
10. **Observable System**: Detailed metrics and logging
This workflow ensures that the Unison service provides **reliable, intelligent, and high-performance** tech stack recommendations while maintaining excellent security and observability standards.
---
*Generated on: 2025-09-22T05:01:45.120Z*
*Service Version: 1.0.0*
*Status: OPERATIONAL*

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# Unison Service Environment Configuration
# This file contains environment variables for the Unison service
# =====================================
# Service Configuration
# =====================================
NODE_ENV=development
PORT=8010
HOST=0.0.0.0
ENVIRONMENT=development
# =====================================
# External Service URLs
# =====================================
TECH_STACK_SELECTOR_URL=http://pipeline_tech_stack_selector:8002
TEMPLATE_MANAGER_URL=http://pipeline_template_manager:8009
TEMPLATE_MANAGER_AI_URL=http://pipeline_template_manager:8013
# Service Health Check URLs
TECH_STACK_SELECTOR_HEALTH_URL=http://pipeline_tech_stack_selector:8002/health
TEMPLATE_MANAGER_HEALTH_URL=http://pipeline_template_manager:8009/health
# =====================================
# Claude AI Configuration
# =====================================
CLAUDE_API_KEY=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
# =====================================
# Database Configuration
# =====================================
POSTGRES_HOST=postgres
POSTGRES_PORT=5432
POSTGRES_DB=dev_pipeline
POSTGRES_USER=pipeline_admin
POSTGRES_PASSWORD=secure_pipeline_2024
DATABASE_URL=postgresql://pipeline_admin:secure_pipeline_2024@postgres:5432/dev_pipeline
# Neo4j Configuration
NEO4J_URI=bolt://neo4j:7687
NEO4J_USER=neo4j
NEO4J_USERNAME=neo4j
NEO4J_PASSWORD=password
# Redis Configuration
REDIS_HOST=redis
REDIS_PORT=6379
REDIS_PASSWORD=redis_secure_2024
# MongoDB Configuration
MONGODB_HOST=mongodb
MONGODB_PORT=27017
MONGO_INITDB_ROOT_USERNAME=pipeline_admin
MONGO_INITDB_ROOT_PASSWORD=mongo_secure_2024
MONGODB_PASSWORD=mongo_secure_2024
# =====================================
# Message Queue Configuration
# =====================================
RABBITMQ_HOST=rabbitmq
RABBITMQ_PORT=5672
RABBITMQ_DEFAULT_USER=pipeline_admin
RABBITMQ_DEFAULT_PASS=rabbit_secure_2024
RABBITMQ_PASSWORD=rabbit_secure_2024
# =====================================
# Security & Authentication
# =====================================
JWT_SECRET=ultra_secure_jwt_secret_2024
JWT_ACCESS_SECRET=access-secret-key-2024-tech4biz-secure_pipeline_2024
JWT_REFRESH_SECRET=refresh-secret-key-2024-tech4biz-secure_pipeline_2024
API_KEY_HEADER=X-API-Key
# =====================================
# Email Configuration
# =====================================
SMTP_HOST=smtp.gmail.com
SMTP_PORT=587
SMTP_SECURE=false
SMTP_USER=frontendtechbiz@gmail.com
SMTP_PASS=oidhhjeasgzbqptq
SMTP_FROM=frontendtechbiz@gmail.com
GMAIL_USER=frontendtechbiz@gmail.com
GMAIL_APP_PASSWORD=oidhhjeasgzbqptq
# =====================================
# CORS Configuration
# =====================================
CORS_ORIGIN=*
CORS_METHODS=GET,POST,PUT,DELETE,PATCH,OPTIONS
CORS_CREDENTIALS=true
# =====================================
# Service Configuration
# =====================================
# Rate Limiting
RATE_LIMIT_WINDOW_MS=900000
RATE_LIMIT_MAX_REQUESTS=100
# Logging
LOG_LEVEL=info
LOG_FILE=logs/unison.log
# Request Timeouts (in milliseconds)
REQUEST_TIMEOUT=30000
HEALTH_CHECK_TIMEOUT=5000
# =====================================
# External Service Integration
# =====================================
# n8n Configuration
N8N_BASIC_AUTH_USER=admin
N8N_BASIC_AUTH_PASSWORD=admin_n8n_2024
N8N_ENCRYPTION_KEY=very_secure_encryption_key_2024
# Jenkins Configuration
JENKINS_ADMIN_ID=admin
JENKINS_ADMIN_PASSWORD=jenkins_secure_2024
# Gitea Configuration
GITEA_ADMIN_USER=admin
GITEA_ADMIN_PASSWORD=gitea_secure_2024
# Monitoring
GRAFANA_ADMIN_USER=admin
GRAFANA_ADMIN_PASSWORD=grafana_secure_2024

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{
"name": "unison",
"version": "1.0.0",
"description": "Unison - Unified Tech Stack Recommendation Service",
"main": "src/app.js",
"scripts": {
"start": "node src/app.js",
"dev": "nodemon src/app.js",
"test": "jest",
"lint": "eslint src/",
"docker:build": "docker build -t unison .",
"docker:run": "docker run -p 8010:8010 unison"
},
"dependencies": {
"express": "^4.18.2",
"cors": "^2.8.5",
"helmet": "^7.1.0",
"morgan": "^1.10.0",
"dotenv": "^16.3.1",
"axios": "^1.6.0",
"joi": "^17.11.0",
"ajv": "^8.12.0",
"ajv-formats": "^2.1.1",
"uuid": "^9.0.1",
"winston": "^3.11.0",
"compression": "^1.7.4",
"express-rate-limit": "^7.1.5",
"pg": "^8.11.3"
},
"devDependencies": {
"nodemon": "^3.0.2",
"jest": "^29.7.0",
"supertest": "^6.3.3",
"eslint": "^8.55.0"
},
"engines": {
"node": ">=18.0.0"
},
"keywords": [
"tech-stack",
"recommendations",
"ai",
"claude",
"unified"
],
"author": "CODENUK Team",
"license": "MIT"
}

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#!/bin/bash
# Setup script for Unison service environment variables
echo "Setting up Unison service environment variables..."
# Check if config.env exists
if [ ! -f "config.env" ]; then
echo "❌ config.env file not found!"
echo "Please ensure config.env exists in the current directory."
exit 1
fi
echo "✅ Found config.env file"
# Check if .env already exists
if [ -f ".env" ]; then
echo "⚠️ .env file already exists!"
read -p "Do you want to overwrite it? (y/N): " -n 1 -r
echo
if [[ ! $REPLY =~ ^[Yy]$ ]]; then
echo "❌ Setup cancelled."
exit 1
fi
fi
# Copy config.env to .env
cp config.env .env
echo "✅ Created .env file from config.env"
# Check if running in Docker
if [ -f "/.dockerenv" ]; then
echo "🐳 Running in Docker container - using config.env directly"
echo "✅ Environment variables are loaded from config.env"
else
echo "🖥️ Running locally - .env file created"
echo "📝 You can edit .env file if you need to override any settings"
fi
echo "🎉 Environment setup complete!"
echo "📋 Configuration includes:"
echo " - Service URLs for tech-stack-selector and template-manager"
echo " - Claude AI API key and configuration"
echo " - Database connections (PostgreSQL, Neo4j, Redis, MongoDB)"
echo " - Security and authentication settings"
echo " - Email configuration"
echo " - CORS settings"
echo ""
echo "🚀 Next steps:"
echo " 1. Run: npm start"
echo " 2. Or with Docker: docker-compose up -d unison"

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const express = require('express');
const cors = require('cors');
const helmet = require('helmet');
const morgan = require('morgan');
const compression = require('compression');
const rateLimit = require('express-rate-limit');
require('dotenv').config({ path: './config.env' });
const logger = require('./utils/logger');
const errorHandler = require('./middleware/errorHandler');
const requestValidator = require('./middleware/requestValidator');
const healthCheck = require('./middleware/healthCheck');
// Import routes
const recommendationRoutes = require('./routes/recommendations');
const healthRoutes = require('./routes/health');
const app = express();
const PORT = process.env.PORT || 8010;
const HOST = process.env.HOST || '0.0.0.0';
// Security middleware
app.use(helmet({
contentSecurityPolicy: {
directives: {
defaultSrc: ["'self'"],
styleSrc: ["'self'", "'unsafe-inline'"],
scriptSrc: ["'self'"],
imgSrc: ["'self'", "data:", "https:"],
},
},
}));
// CORS configuration
app.use(cors({
origin: process.env.CORS_ORIGIN || '*',
credentials: process.env.CORS_CREDENTIALS === 'true',
methods: ['GET', 'POST', 'PUT', 'DELETE', 'OPTIONS'],
allowedHeaders: ['Content-Type', 'Authorization', 'X-API-Key']
}));
// Compression middleware
app.use(compression());
// Logging middleware
app.use(morgan('combined', {
stream: {
write: (message) => logger.info(message.trim())
}
}));
// Rate limiting
const limiter = rateLimit({
windowMs: parseInt(process.env.RATE_LIMIT_WINDOW_MS) || 15 * 60 * 1000, // 15 minutes
max: parseInt(process.env.RATE_LIMIT_MAX_REQUESTS) || 100, // limit each IP to 100 requests per windowMs
message: {
error: 'Too many requests from this IP, please try again later.',
retryAfter: Math.ceil((parseInt(process.env.RATE_LIMIT_WINDOW_MS) || 15 * 60 * 1000) / 1000)
},
standardHeaders: true,
legacyHeaders: false,
});
app.use(limiter);
// Body parsing middleware
app.use(express.json({ limit: '10mb' }));
app.use(express.urlencoded({ extended: true, limit: '10mb' }));
// Request validation middleware
app.use(requestValidator);
// Health check middleware
app.use(healthCheck);
// Routes
app.use('/api/recommendations', recommendationRoutes);
app.use('/health', healthRoutes);
// Root endpoint
app.get('/', (req, res) => {
res.json({
message: 'Unison - Unified Tech Stack Recommendation Service',
version: '1.0.0',
status: 'operational',
timestamp: new Date().toISOString(),
endpoints: {
health: '/health',
recommendations: '/api/recommendations',
unified: '/api/recommendations/unified'
},
services: {
techStackSelector: process.env.TECH_STACK_SELECTOR_URL || 'http://pipeline_tech_stack_selector:8002',
templateManager: process.env.TEMPLATE_MANAGER_URL || 'http://pipeline_template_manager:8009'
}
});
});
// 404 handler
app.use('*', (req, res) => {
res.status(404).json({
error: 'Not Found',
message: `Route ${req.originalUrl} not found`,
availableEndpoints: [
'GET /',
'GET /health',
'POST /api/recommendations/unified'
]
});
});
// Error handling middleware (must be last)
app.use(errorHandler);
// Start server
const server = app.listen(PORT, HOST, () => {
logger.info(`🚀 Unison service started on ${HOST}:${PORT}`);
logger.info(`📊 Environment: ${process.env.NODE_ENV || 'development'}`);
logger.info(`🔗 Tech Stack Selector: ${process.env.TECH_STACK_SELECTOR_URL || 'http://pipeline_tech_stack_selector:8002'}`);
logger.info(`🔗 Template Manager: ${process.env.TEMPLATE_MANAGER_URL || 'http://pipeline_template_manager:8009'}`);
});
// Graceful shutdown
process.on('SIGTERM', () => {
logger.info('SIGTERM received, shutting down gracefully');
server.close(() => {
logger.info('Process terminated');
process.exit(0);
});
});
process.on('SIGINT', () => {
logger.info('SIGINT received, shutting down gracefully');
server.close(() => {
logger.info('Process terminated');
process.exit(0);
});
});
module.exports = app;

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const logger = require('../utils/logger');
const errorHandler = (err, req, res, next) => {
let error = { ...err };
error.message = err.message;
// Log error
logger.error({
message: err.message,
stack: err.stack,
url: req.originalUrl,
method: req.method,
ip: req.ip,
userAgent: req.get('User-Agent')
});
// Mongoose bad ObjectId
if (err.name === 'CastError') {
const message = 'Resource not found';
error = { message, statusCode: 404 };
}
// Mongoose duplicate key
if (err.code === 11000) {
const message = 'Duplicate field value entered';
error = { message, statusCode: 400 };
}
// Mongoose validation error
if (err.name === 'ValidationError') {
const message = Object.values(err.errors).map(val => val.message).join(', ');
error = { message, statusCode: 400 };
}
// JWT errors
if (err.name === 'JsonWebTokenError') {
const message = 'Invalid token';
error = { message, statusCode: 401 };
}
if (err.name === 'TokenExpiredError') {
const message = 'Token expired';
error = { message, statusCode: 401 };
}
// Axios errors
if (err.isAxiosError) {
const message = `External service error: ${err.response?.data?.message || err.message}`;
const statusCode = err.response?.status || 500;
error = { message, statusCode };
}
// Joi validation errors
if (err.isJoi) {
const message = err.details.map(detail => detail.message).join(', ');
error = { message, statusCode: 400 };
}
// AJV validation errors
if (err.name === 'ValidationError' && err.errors) {
const message = err.errors.map(e => `${e.instancePath || 'root'}: ${e.message}`).join(', ');
error = { message, statusCode: 400 };
}
res.status(error.statusCode || 500).json({
success: false,
error: error.message || 'Server Error',
...(process.env.NODE_ENV === 'development' && { stack: err.stack })
});
};
module.exports = errorHandler;

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const axios = require('axios');
const logger = require('../utils/logger');
// Health check middleware
const healthCheck = async (req, res, next) => {
// Skip health check for actual health endpoint
if (req.path === '/health') {
return next();
}
// Check external services health
const externalServices = {
techStackSelector: process.env.TECH_STACK_SELECTOR_HEALTH_URL || 'http://tech-stack-selector:8002/health',
templateManager: process.env.TEMPLATE_MANAGER_HEALTH_URL || 'http://template-manager:8009/health'
};
const healthStatus = {
unison: 'healthy',
externalServices: {},
timestamp: new Date().toISOString()
};
// Check each external service
for (const [serviceName, url] of Object.entries(externalServices)) {
try {
const response = await axios.get(url, {
timeout: parseInt(process.env.HEALTH_CHECK_TIMEOUT) || 5000,
headers: {
'User-Agent': 'Unison-HealthCheck/1.0'
}
});
healthStatus.externalServices[serviceName] = {
status: 'healthy',
responseTime: response.headers['x-response-time'] || 'unknown',
lastChecked: new Date().toISOString()
};
} catch (error) {
logger.warn({
message: `External service ${serviceName} health check failed`,
service: serviceName,
url: url,
error: error.message
});
healthStatus.externalServices[serviceName] = {
status: 'unhealthy',
error: error.message,
lastChecked: new Date().toISOString()
};
}
}
// Store health status in request for use in routes
req.healthStatus = healthStatus;
next();
};
module.exports = healthCheck;

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const Joi = require('joi');
const logger = require('../utils/logger');
// Request validation middleware
const requestValidator = (req, res, next) => {
// Skip validation for health checks and root endpoint
if (req.path === '/health' || req.path === '/') {
return next();
}
// Validate request body for POST/PUT requests
if (['POST', 'PUT', 'PATCH'].includes(req.method) && req.body) {
// Basic validation for unified recommendation request - simplified
if (req.path.includes('/unified')) {
const schema = Joi.object({
domain: Joi.string().min(1).max(100).optional(),
budget: Joi.number().positive().optional(),
preferredTechnologies: Joi.array().items(Joi.string().min(1).max(50)).optional(),
templateId: Joi.string().uuid().optional(),
includeSimilar: Joi.boolean().optional(),
includeKeywords: Joi.boolean().optional(),
forceRefresh: Joi.boolean().optional()
});
const { error } = schema.validate(req.body);
if (error) {
logger.warn({
message: 'Request validation failed',
error: error.details[0].message,
body: req.body,
path: req.path
});
return res.status(400).json({
success: false,
error: 'Invalid request data',
details: error.details[0].message
});
}
}
}
next();
};
module.exports = requestValidator;

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const express = require('express');
const axios = require('axios');
const DatabaseService = require('../services/databaseService');
const logger = require('../utils/logger');
// Create database service instance
const databaseService = new DatabaseService();
const router = express.Router();
// Health check endpoint
router.get('/', async (req, res) => {
try {
const startTime = Date.now();
// Check external services
const externalServices = {
techStackSelector: process.env.TECH_STACK_SELECTOR_HEALTH_URL || 'http://tech-stack-selector:8002/health',
templateManager: process.env.TEMPLATE_MANAGER_HEALTH_URL || 'http://template-manager:8009/health'
};
const healthChecks = {};
let allHealthy = true;
// Check database health
const databaseHealthy = await databaseService.isHealthy();
if (!databaseHealthy) {
allHealthy = false;
}
// Check each external service
for (const [serviceName, url] of Object.entries(externalServices)) {
try {
const serviceStartTime = Date.now();
const response = await axios.get(url, {
timeout: parseInt(process.env.HEALTH_CHECK_TIMEOUT) || 5000,
headers: {
'User-Agent': 'Unison-HealthCheck/1.0'
}
});
const responseTime = Date.now() - serviceStartTime;
healthChecks[serviceName] = {
status: 'healthy',
responseTime: `${responseTime}ms`,
statusCode: response.status,
lastChecked: new Date().toISOString(),
data: response.data
};
} catch (error) {
allHealthy = false;
healthChecks[serviceName] = {
status: 'unhealthy',
error: error.message,
statusCode: error.response?.status || 'timeout',
lastChecked: new Date().toISOString()
};
logger.warn({
message: `External service ${serviceName} health check failed`,
service: serviceName,
url: url,
error: error.message,
statusCode: error.response?.status
});
}
}
const totalResponseTime = Date.now() - startTime;
const overallStatus = allHealthy ? 'healthy' : 'degraded';
const healthResponse = {
status: overallStatus,
service: 'unison',
version: '1.0.0',
timestamp: new Date().toISOString(),
uptime: process.uptime(),
responseTime: `${totalResponseTime}ms`,
environment: process.env.NODE_ENV || 'development',
memory: {
used: Math.round(process.memoryUsage().heapUsed / 1024 / 1024) + ' MB',
total: Math.round(process.memoryUsage().heapTotal / 1024 / 1024) + ' MB',
external: Math.round(process.memoryUsage().external / 1024 / 1024) + ' MB'
},
externalServices: healthChecks,
database: {
status: databaseHealthy ? 'healthy' : 'unhealthy',
type: 'PostgreSQL'
},
features: {
unifiedRecommendations: true,
techStackSelector: healthChecks.techStackSelector?.status === 'healthy',
templateManager: healthChecks.templateManager?.status === 'healthy',
claudeAI: !!process.env.CLAUDE_API_KEY,
databaseStorage: databaseHealthy
}
};
const statusCode = allHealthy ? 200 : 503;
res.status(statusCode).json(healthResponse);
} catch (error) {
logger.error({
message: 'Health check failed',
error: error.message,
stack: error.stack
});
res.status(500).json({
status: 'unhealthy',
service: 'unison',
error: 'Health check failed',
message: error.message,
timestamp: new Date().toISOString()
});
}
});
// Detailed health check with more information
router.get('/detailed', async (req, res) => {
try {
const detailedHealth = {
status: 'healthy',
service: 'unison',
version: '1.0.0',
timestamp: new Date().toISOString(),
uptime: process.uptime(),
environment: process.env.NODE_ENV || 'development',
nodeVersion: process.version,
platform: process.platform,
architecture: process.arch,
memory: process.memoryUsage(),
cpu: process.cpuUsage(),
pid: process.pid,
config: {
port: process.env.PORT || 8010,
host: process.env.HOST || '0.0.0.0',
techStackSelectorUrl: process.env.TECH_STACK_SELECTOR_URL,
templateManagerUrl: process.env.TEMPLATE_MANAGER_URL,
claudeApiKey: process.env.CLAUDE_API_KEY ? 'configured' : 'not configured'
}
};
res.json(detailedHealth);
} catch (error) {
logger.error({
message: 'Detailed health check failed',
error: error.message
});
res.status(500).json({
status: 'unhealthy',
error: 'Detailed health check failed',
message: error.message
});
}
});
module.exports = router;

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const express = require('express');
const techStackService = require('../services/techStackService');
const templateService = require('../services/templateService');
const claudeService = require('../services/claudeService');
const DatabaseService = require('../services/databaseService');
const schemaValidator = require('../utils/schemaValidator');
const logger = require('../utils/logger');
const { v4: uuidv4 } = require('uuid');
// Create database service instance
const databaseService = new DatabaseService();
const router = express.Router();
/**
* POST /api/recommendations/unified
* Get unified tech stack recommendation combining both services
*/
router.post('/unified', async (req, res) => {
try {
const startTime = Date.now();
// Extract request parameters with defaults
const {
domain = 'general',
budget = 5000,
preferredTechnologies = [],
templateId,
includeSimilar = false,
includeKeywords = false,
forceRefresh = false
} = req.body;
logger.info({
message: 'Processing unified recommendation request',
domain,
budget,
preferredTechnologies,
templateId,
includeSimilar,
includeKeywords,
forceRefresh
});
// Use default values if not provided
const techStackRequest = { domain, budget, preferredTechnologies };
const techStackValidation = schemaValidator.validateTechStackRequest(techStackRequest);
if (!techStackValidation.valid) {
return res.status(400).json({
success: false,
error: 'Invalid tech stack request parameters',
details: techStackValidation.errors
});
}
// If templateId is provided, validate it
if (templateId) {
const templateRequest = { templateId, includeSimilar, includeKeywords, forceRefresh };
const templateValidation = schemaValidator.validateTemplateRequest(templateRequest);
if (!templateValidation.valid) {
return res.status(400).json({
success: false,
error: 'Invalid template request parameters',
details: templateValidation.errors
});
}
}
// Fetch recommendations from services
const promises = [];
// Always fetch from tech-stack-selector (domain + budget based)
promises.push(
techStackService.getRecommendations({
domain,
budget,
preferredTechnologies
}).catch(error => {
logger.error({
message: 'Failed to fetch from tech-stack-selector',
error: error.message
});
return { success: false, error: error.message, source: 'tech-stack-selector' };
})
);
// Fetch from template-manager if templateId is provided
if (templateId) {
promises.push(
templateService.getAIRecommendations(templateId, { forceRefresh })
.catch(error => {
logger.error({
message: 'Failed to fetch from template-manager',
error: error.message,
templateId
});
return { success: false, error: error.message, source: 'template-manager' };
})
);
} else {
// If no templateId, provide a default template recommendation
promises.push(Promise.resolve({
success: true,
data: {
stack_name: 'Default General Purpose Stack',
monthly_cost: 100,
setup_cost: 2000,
team_size: '2-3',
development_time: 4,
satisfaction: 85,
success_rate: 80,
frontend: 'React',
backend: 'Node.js',
database: 'PostgreSQL',
cloud: 'AWS',
testing: 'Jest',
mobile: 'React Native',
devops: 'Docker',
ai_ml: 'Not specified',
recommendation_score: 85.0
},
source: 'template-manager-default'
}));
}
const [techStackResult, templateResult] = await Promise.all(promises);
// Check if we have at least one successful recommendation
if (!techStackResult.success && !templateResult.success) {
return res.status(500).json({
success: false,
error: 'Failed to fetch recommendations from both services',
details: {
techStackError: techStackResult.error,
templateError: templateResult.error
}
});
}
// Both services must succeed for unified recommendations
if (!techStackResult.success || !templateResult.success) {
return res.status(500).json({
success: false,
error: 'Both services are required for unified recommendations',
message: 'Both tech-stack-selector and template-manager must be available for unified recommendations',
processingTime: Date.now() - startTime,
services: {
techStackSelector: techStackResult.success ? 'available' : 'unavailable',
templateManager: templateResult.success ? 'available' : 'unavailable'
}
});
}
// Both services returned recommendations - use Claude to unify them
if (!claudeService.isAvailable()) {
return res.status(500).json({
success: false,
error: 'Claude AI service is required for unified recommendations',
message: 'Claude AI is not available. Unified recommendations require Claude AI to process both tech-stack and template recommendations.',
processingTime: Date.now() - startTime,
services: {
techStackSelector: 'available',
templateManager: 'available',
claudeAI: 'unavailable'
}
});
}
// Generate unified recommendation using Claude
const claudeResult = await claudeService.generateUnifiedRecommendation(
techStackResult,
templateResult,
{ domain, budget, preferredTechnologies, templateId }
);
// Log Claude AI response for debugging
logger.info({
message: 'Claude AI response received',
claudeResponse: claudeResult.data,
claudeModel: claudeResult.claudeModel
});
// Validate the unified recommendation
const validation = schemaValidator.validateUnifiedRecommendation(claudeResult.data);
if (!validation.valid) {
logger.warn({
message: 'Claude generated invalid recommendation, using tech-stack-selector as fallback',
validationErrors: validation.errors,
claudeResponse: claudeResult.data
});
return res.json({
success: true,
data: techStackResult.data,
source: 'tech-stack-selector (fallback)',
message: 'Claude generated invalid recommendation, using tech-stack-selector as fallback',
processingTime: Date.now() - startTime,
services: {
techStackSelector: 'available',
templateManager: 'available',
claudeAI: 'invalid_output'
}
});
}
logger.info({
message: 'Successfully generated unified recommendation',
stackName: claudeResult.data.stack_name,
recommendationScore: claudeResult.data.recommendation_score,
processingTime: Date.now() - startTime
});
// Store recommendation in database
const requestId = uuidv4();
const processingTime = Date.now() - startTime;
// Use a default template ID if none provided (represents "no template" case)
const templateIdForStorage = templateId || '00000000-0000-0000-0000-000000000000';
try {
const storageResult = await databaseService.storeRecommendation({
requestId,
domain,
budget,
preferredTechnologies,
templateId: templateIdForStorage,
stackName: claudeResult.data.stack_name,
monthlyCost: claudeResult.data.monthly_cost,
setupCost: claudeResult.data.setup_cost,
teamSize: claudeResult.data.team_size,
developmentTime: claudeResult.data.development_time,
satisfaction: claudeResult.data.satisfaction,
successRate: claudeResult.data.success_rate,
frontend: claudeResult.data.frontend,
backend: claudeResult.data.backend,
database: claudeResult.data.database,
cloud: claudeResult.data.cloud,
testing: claudeResult.data.testing,
mobile: claudeResult.data.mobile,
devops: claudeResult.data.devops,
aiMl: claudeResult.data.ai_ml,
recommendedTool: claudeResult.data.recommended_tool,
recommendationScore: claudeResult.data.recommendation_score,
message: claudeResult.data.message,
claudeModel: claudeResult.claudeModel,
processingTime
});
if (storageResult.success) {
logger.info(`Recommendation stored in database with ID: ${storageResult.id}`);
} else {
logger.warn(`Failed to store recommendation in database: ${storageResult.error}`);
}
} catch (storageError) {
logger.error('Error storing recommendation in database:', storageError);
// Don't fail the request if storage fails
}
res.json({
success: true,
data: claudeResult.data,
source: 'unified',
message: 'Unified recommendation generated successfully',
processingTime,
services: {
techStackSelector: 'available',
templateManager: 'available',
claudeAI: 'available'
},
claudeModel: claudeResult.claudeModel,
requestId, // Include request ID for tracking
templateId: templateId || null // Show original templateId (null if not provided)
});
} catch (error) {
logger.error({
message: 'Error processing unified recommendation request',
error: error.message,
stack: error.stack,
body: req.body
});
res.status(500).json({
success: false,
error: 'Internal server error',
message: error.message
});
}
});
/**
* GET /api/recommendations/tech-stack
* Get recommendations from tech-stack-selector only
*/
router.get('/tech-stack', async (req, res) => {
try {
const { domain, budget, preferredTechnologies } = req.query;
// Convert string parameters to appropriate types
const params = {
domain: domain || undefined,
budget: budget ? parseFloat(budget) : undefined,
preferredTechnologies: preferredTechnologies ? preferredTechnologies.split(',') : undefined
};
// Remove undefined values
Object.keys(params).forEach(key => {
if (params[key] === undefined) {
delete params[key];
}
});
const result = await techStackService.getRecommendations(params);
res.json({
success: true,
data: result.data,
source: 'tech-stack-selector',
message: 'Tech stack recommendations retrieved successfully'
});
} catch (error) {
logger.error({
message: 'Error fetching tech stack recommendations',
error: error.message,
query: req.query
});
res.status(500).json({
success: false,
error: 'Failed to fetch tech stack recommendations',
message: error.message
});
}
});
/**
* GET /api/recommendations/template/:templateId
* Get recommendations from template-manager only
*/
router.get('/template/:templateId', async (req, res) => {
try {
const { templateId } = req.params;
const { force_refresh } = req.query;
// Validate UUID format
const uuidRegex = /^[0-9a-f]{8}-[0-9a-f]{4}-[1-5][0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}$/i;
if (!uuidRegex.test(templateId)) {
return res.status(400).json({
success: false,
error: 'Invalid template ID format',
message: 'Template ID must be a valid UUID format',
providedId: templateId
});
}
const result = await templateService.getAIRecommendations(templateId, {
forceRefresh: force_refresh === 'true'
});
res.json({
success: true,
data: result.data,
source: 'template-manager',
message: 'Template recommendations retrieved successfully'
});
} catch (error) {
logger.error({
message: 'Error fetching template recommendations',
error: error.message,
templateId: req.params.templateId
});
res.status(500).json({
success: false,
error: 'Failed to fetch template recommendations',
message: error.message
});
}
});
/**
* GET /api/recommendations/endpoints
* Get available API endpoints
*/
router.get('/endpoints', (req, res) => {
res.json({
success: true,
data: {
endpoints: [
{
method: 'POST',
path: '/api/recommendations/unified',
description: 'Get unified tech stack recommendation combining both services',
parameters: {
domain: 'string (optional, default: "general")',
budget: 'number (optional, default: 5000)',
preferredTechnologies: 'array (optional, default: [])',
templateId: 'string (optional, UUID format)',
includeSimilar: 'boolean (optional, default: false)',
includeKeywords: 'boolean (optional, default: false)',
forceRefresh: 'boolean (optional, default: false)'
}
},
{
method: 'GET',
path: '/api/recommendations/tech-stack',
description: 'Get recommendations from tech-stack-selector only',
parameters: {
domain: 'string (required)',
budget: 'number (required)',
preferredTechnologies: 'array (optional)'
}
},
{
method: 'GET',
path: '/api/recommendations/template/:templateId',
description: 'Get recommendations from template-manager only',
parameters: {
templateId: 'string (required, UUID format)',
force_refresh: 'boolean (optional, query parameter)'
}
},
{
method: 'GET',
path: '/api/recommendations/stored',
description: 'Get stored recommendations from database',
parameters: {
limit: 'number (optional, default: 10)',
domain: 'string (optional, filter by domain)',
templateId: 'string (optional, filter by template ID)'
}
},
{
method: 'GET',
path: '/api/recommendations/stored/:id',
description: 'Get specific stored recommendation by ID',
parameters: {
id: 'string (required, UUID format)'
}
},
{
method: 'GET',
path: '/api/recommendations/stats',
description: 'Get recommendation statistics',
parameters: 'none'
},
{
method: 'GET',
path: '/api/recommendations/schemas',
description: 'Get available validation schemas',
parameters: 'none'
}
]
},
message: 'Available API endpoints'
});
});
/**
* GET /api/recommendations/schemas
* Get available validation schemas
*/
router.get('/schemas', (req, res) => {
try {
const schemas = schemaValidator.getAvailableSchemas();
const schemaDefinitions = {};
schemas.forEach(schemaName => {
schemaDefinitions[schemaName] = schemaValidator.getSchema(schemaName);
});
res.json({
success: true,
data: {
availableSchemas: schemas,
schemas: schemaDefinitions
},
message: 'Available schemas retrieved successfully'
});
} catch (error) {
logger.error({
message: 'Error fetching schemas',
error: error.message
});
res.status(500).json({
success: false,
error: 'Failed to fetch schemas',
message: error.message
});
}
});
/**
* GET /api/recommendations/stored
* Get stored recommendations with optional filtering
*/
router.get('/stored', async (req, res) => {
try {
const { domain, templateId, limit = 20 } = req.query;
let recommendations;
if (domain) {
recommendations = await databaseService.getRecommendationsByDomain(domain, parseInt(limit));
} else if (templateId) {
recommendations = await databaseService.getRecommendationsByTemplateId(templateId, parseInt(limit));
} else {
recommendations = await databaseService.getRecentRecommendations(parseInt(limit));
}
res.json({
success: true,
data: recommendations,
count: recommendations.length,
filters: { domain, templateId, limit: parseInt(limit) }
});
} catch (error) {
logger.error({
message: 'Error fetching stored recommendations',
error: error.message,
query: req.query
});
res.status(500).json({
success: false,
error: 'Failed to fetch stored recommendations',
message: error.message
});
}
});
/**
* GET /api/recommendations/stored/:id
* Get a specific stored recommendation by ID
*/
router.get('/stored/:id', async (req, res) => {
try {
const { id } = req.params;
const recommendation = await databaseService.getRecommendationById(id);
if (!recommendation) {
return res.status(404).json({
success: false,
error: 'Recommendation not found',
message: `No recommendation found with ID: ${id}`
});
}
res.json({
success: true,
data: recommendation
});
} catch (error) {
logger.error({
message: 'Error fetching recommendation by ID',
error: error.message,
id: req.params.id
});
res.status(500).json({
success: false,
error: 'Failed to fetch recommendation',
message: error.message
});
}
});
/**
* GET /api/recommendations/stats
* Get statistics about stored recommendations
*/
router.get('/stats', async (req, res) => {
try {
const stats = await databaseService.getRecommendationStats();
res.json({
success: true,
data: stats
});
} catch (error) {
logger.error({
message: 'Error fetching recommendation stats',
error: error.message
});
res.status(500).json({
success: false,
error: 'Failed to fetch recommendation statistics',
message: error.message
});
}
});
module.exports = router;

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const axios = require('axios');
const logger = require('../utils/logger');
class ClaudeService {
constructor() {
this.apiKey = process.env.CLAUDE_API_KEY;
this.model = process.env.CLAUDE_MODEL || 'claude-3-5-sonnet-20241022';
this.maxTokens = parseInt(process.env.CLAUDE_MAX_TOKENS) || 4000;
this.timeout = parseInt(process.env.REQUEST_TIMEOUT) || 30000;
if (!this.apiKey) {
logger.warn('Claude API key not configured. Claude integration will be disabled.');
}
}
/**
* Generate unified recommendation using Claude AI
* @param {Object} techStackRecommendation - Recommendation from tech-stack-selector
* @param {Object} templateRecommendation - Recommendation from template-manager
* @param {Object} requestParams - Original request parameters
* @returns {Promise<Object>} Unified recommendation
*/
async generateUnifiedRecommendation(techStackRecommendation, templateRecommendation, requestParams) {
if (!this.apiKey) {
throw new Error('Claude API key not configured');
}
try {
logger.info({
message: 'Generating unified recommendation using Claude AI',
techStackSource: techStackRecommendation.source,
templateSource: templateRecommendation.source
});
const prompt = this.buildPrompt(techStackRecommendation, templateRecommendation, requestParams);
const response = await axios.post(
'https://api.anthropic.com/v1/messages',
{
model: this.model,
max_tokens: this.maxTokens,
messages: [
{
role: 'user',
content: prompt
}
]
},
{
timeout: this.timeout,
headers: {
'Content-Type': 'application/json',
'x-api-key': this.apiKey,
'anthropic-version': '2023-06-01',
'User-Agent': 'Unison-Service/1.0'
}
}
);
const claudeResponse = response.data.content[0].text;
// Parse Claude's response
const unifiedRecommendation = this.parseClaudeResponse(claudeResponse);
logger.info({
message: 'Successfully generated unified recommendation using Claude AI',
stackName: unifiedRecommendation.stack_name,
recommendationScore: unifiedRecommendation.recommendation_score
});
return {
success: true,
data: unifiedRecommendation,
source: 'claude-ai',
claudeModel: this.model
};
} catch (error) {
logger.error({
message: 'Failed to generate unified recommendation using Claude AI',
error: error.message,
techStackSource: techStackRecommendation.source,
templateSource: templateRecommendation.source
});
throw new Error(`Claude AI service error: ${error.message}`);
}
}
/**
* Build the prompt for Claude AI
* @param {Object} techStackRecommendation - Recommendation from tech-stack-selector
* @param {Object} templateRecommendation - Recommendation from template-manager
* @param {Object} requestParams - Original request parameters
* @returns {string} Formatted prompt
*/
buildPrompt(techStackRecommendation, templateRecommendation, requestParams) {
return `You are an expert tech stack architect. I need you to analyze two different tech stack recommendations and create a single, optimized recommendation that balances cost, domain requirements, and template-feature compatibility.
## Original Request Parameters:
- Domain: ${requestParams.domain || 'Not specified'}
- Budget: $${requestParams.budget || 'Not specified'}
- Preferred Technologies: ${requestParams.preferredTechnologies ? requestParams.preferredTechnologies.join(', ') : 'Not specified'}
- Template ID: ${requestParams.templateId || 'Not specified'}
## Tech Stack Selector Recommendation:
${JSON.stringify(techStackRecommendation.data, null, 2)}
## Template Manager Recommendation:
${JSON.stringify(templateRecommendation.data, null, 2)}
## Your Task:
Analyze both recommendations and create a single, optimized tech stack recommendation that:
1. Balances cost-effectiveness with the budget constraint
2. Matches the domain requirements
3. Incorporates the best features from the template recommendation
4. Considers the preferred technologies when possible
5. Provides realistic team size, development time, and success metrics
## Required Output Format:
You MUST respond with ONLY a valid JSON object that matches this EXACT schema. Do NOT include any other text or formatting:
{
"stack_name": "string (descriptive name for the tech stack)",
"monthly_cost": number (monthly operational cost in USD),
"setup_cost": number (one-time setup cost in USD),
"team_size": "string (e.g., '1-2', '3-5', '6-10')",
"development_time": number (weeks to complete, 1-52),
"satisfaction": number (0-100, user satisfaction score),
"success_rate": number (0-100, project success rate),
"frontend": "string (specific frontend technology like 'React.js', 'Vue.js', 'Angular')",
"backend": "string (specific backend technology like 'Node.js', 'Django', 'Spring Boot')",
"database": "string (specific database like 'PostgreSQL', 'MongoDB', 'MySQL')",
"cloud": "string (specific cloud platform like 'AWS', 'DigitalOcean', 'Azure')",
"testing": "string (specific testing framework like 'Jest', 'pytest', 'Cypress')",
"mobile": "string (mobile technology like 'React Native', 'Flutter', 'Ionic' or 'None')",
"devops": "string (devops tool like 'Docker', 'GitHub Actions', 'Jenkins')",
"ai_ml": "string (AI/ML technology like 'TensorFlow', 'scikit-learn', 'PyTorch' or 'None')",
"recommended_tool": "string (primary recommended tool like 'Stripe', 'Firebase', 'Vercel')",
"recommendation_score": number (0-100, overall recommendation score),
"message": "string (brief explanation of the recommendation, max 500 characters)"
}
## Important Notes:
- The JSON must be valid and complete
- All numeric values should be realistic
- The recommendation should be practical and implementable
- Consider the budget constraints carefully
- Balance between cost and quality
- Include reasoning in the message field
Respond with ONLY the JSON object, no additional text or formatting.`;
}
/**
* Parse Claude's response and validate it
* @param {string} claudeResponse - Raw response from Claude
* @returns {Object} Parsed and validated recommendation
*/
parseClaudeResponse(claudeResponse) {
try {
// Extract JSON from the response (in case there's extra text)
const jsonMatch = claudeResponse.match(/\{[\s\S]*\}/);
if (!jsonMatch) {
throw new Error('No JSON found in Claude response');
}
const parsedResponse = JSON.parse(jsonMatch[0]);
// Validate required fields
const requiredFields = [
'stack_name', 'monthly_cost', 'setup_cost', 'team_size', 'development_time',
'satisfaction', 'success_rate', 'frontend', 'backend', 'database', 'cloud',
'testing', 'mobile', 'devops', 'ai_ml', 'recommended_tool', 'recommendation_score', 'message'
];
const missingFields = requiredFields.filter(field => !(field in parsedResponse));
if (missingFields.length > 0) {
throw new Error(`Missing required fields: ${missingFields.join(', ')}`);
}
// Validate numeric ranges
const numericValidations = {
monthly_cost: { min: 0, max: 10000 },
setup_cost: { min: 0, max: 50000 },
development_time: { min: 1, max: 52 },
satisfaction: { min: 0, max: 100 },
success_rate: { min: 0, max: 100 },
recommendation_score: { min: 0, max: 100 }
};
for (const [field, range] of Object.entries(numericValidations)) {
const value = parsedResponse[field];
if (typeof value !== 'number' || value < range.min || value > range.max) {
throw new Error(`Invalid ${field}: ${value}. Must be a number between ${range.min} and ${range.max}`);
}
}
// Validate string fields
const stringFields = ['stack_name', 'team_size', 'frontend', 'backend', 'database', 'cloud', 'testing', 'mobile', 'devops', 'ai_ml', 'recommended_tool', 'message'];
for (const field of stringFields) {
if (typeof parsedResponse[field] !== 'string' || parsedResponse[field].trim().length === 0) {
throw new Error(`Invalid ${field}: must be a non-empty string`);
}
}
logger.info({
message: 'Successfully parsed and validated Claude response',
stackName: parsedResponse.stack_name,
recommendationScore: parsedResponse.recommendation_score
});
return parsedResponse;
} catch (error) {
logger.error({
message: 'Failed to parse Claude response',
error: error.message,
claudeResponse: claudeResponse.substring(0, 500) + '...'
});
throw new Error(`Failed to parse Claude response: ${error.message}`);
}
}
/**
* Check if Claude service is available
* @returns {boolean} Service availability
*/
isAvailable() {
return !!this.apiKey;
}
/**
* Get service configuration
* @returns {Object} Service configuration
*/
getConfig() {
return {
available: this.isAvailable(),
model: this.model,
maxTokens: this.maxTokens,
timeout: this.timeout
};
}
}
module.exports = new ClaudeService();

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const { Pool } = require('pg');
const logger = require('../utils/logger');
class DatabaseService {
constructor() {
this.pool = new Pool({
host: process.env.POSTGRES_HOST || 'postgres',
port: process.env.POSTGRES_PORT || 5432,
database: process.env.POSTGRES_DB || 'dev_pipeline',
user: process.env.POSTGRES_USER || 'pipeline_admin',
password: process.env.POSTGRES_PASSWORD || 'secure_pipeline_2024',
max: 20,
idleTimeoutMillis: 30000,
connectionTimeoutMillis: 2000,
});
this.initializeDatabase();
}
async initializeDatabase() {
try {
// Wait a bit for database to be ready
await new Promise(resolve => setTimeout(resolve, 2000));
await this.createRecommendationsTable();
logger.info('Database service initialized successfully');
} catch (error) {
logger.error('Failed to initialize database service:', error);
// Don't throw error, just log it
}
}
async createRecommendationsTable() {
const createTableQuery = `
CREATE TABLE IF NOT EXISTS claude_recommendations (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
request_id VARCHAR(255) UNIQUE NOT NULL,
domain VARCHAR(100) NOT NULL,
budget DECIMAL(10,2) NOT NULL,
preferred_technologies TEXT[],
template_id UUID,
stack_name VARCHAR(255) NOT NULL,
monthly_cost DECIMAL(10,2) NOT NULL,
setup_cost DECIMAL(10,2) NOT NULL,
team_size VARCHAR(50) NOT NULL,
development_time INTEGER NOT NULL,
satisfaction INTEGER NOT NULL CHECK (satisfaction >= 0 AND satisfaction <= 100),
success_rate INTEGER NOT NULL CHECK (success_rate >= 0 AND success_rate <= 100),
frontend VARCHAR(100) NOT NULL,
backend VARCHAR(100) NOT NULL,
database VARCHAR(100) NOT NULL,
cloud VARCHAR(100) NOT NULL,
testing VARCHAR(100) NOT NULL,
mobile VARCHAR(100),
devops VARCHAR(100) NOT NULL,
ai_ml VARCHAR(100),
recommended_tool VARCHAR(100) NOT NULL,
recommendation_score DECIMAL(5,2) NOT NULL CHECK (recommendation_score >= 0 AND recommendation_score <= 100),
message TEXT NOT NULL,
claude_model VARCHAR(100) NOT NULL,
processing_time INTEGER NOT NULL,
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP
);
`;
const createIndexQuery = `
CREATE INDEX IF NOT EXISTS idx_claude_recommendations_domain ON claude_recommendations(domain);
CREATE INDEX IF NOT EXISTS idx_claude_recommendations_budget ON claude_recommendations(budget);
CREATE INDEX IF NOT EXISTS idx_claude_recommendations_template_id ON claude_recommendations(template_id);
CREATE INDEX IF NOT EXISTS idx_claude_recommendations_created_at ON claude_recommendations(created_at);
`;
try {
await this.pool.query(createTableQuery);
await this.pool.query(createIndexQuery);
logger.info('Claude recommendations table created successfully');
} catch (error) {
logger.error('Error creating recommendations table:', error);
throw error;
}
}
async storeRecommendation(recommendationData) {
const {
requestId,
domain,
budget,
preferredTechnologies,
templateId,
stackName,
monthlyCost,
setupCost,
teamSize,
developmentTime,
satisfaction,
successRate,
frontend,
backend,
database,
cloud,
testing,
mobile,
devops,
aiMl,
recommendedTool,
recommendationScore,
message,
claudeModel,
processingTime
} = recommendationData;
const insertQuery = `
INSERT INTO claude_recommendations (
request_id, domain, budget, preferred_technologies, template_id,
stack_name, monthly_cost, setup_cost, team_size, development_time,
satisfaction, success_rate, frontend, backend, database, cloud,
testing, mobile, devops, ai_ml, recommended_tool, recommendation_score,
message, claude_model, processing_time
) VALUES (
$1, $2, $3, $4, $5, $6, $7, $8, $9, $10,
$11, $12, $13, $14, $15, $16, $17, $18, $19, $20,
$21, $22, $23, $24, $25
)
RETURNING id, created_at;
`;
const values = [
requestId,
domain,
budget,
preferredTechnologies || [],
templateId,
stackName,
monthlyCost,
setupCost,
teamSize,
developmentTime,
satisfaction,
successRate,
frontend,
backend,
database,
cloud,
testing,
mobile || null,
devops,
aiMl || null,
recommendedTool,
recommendationScore,
message,
claudeModel,
processingTime
];
try {
const result = await this.pool.query(insertQuery, values);
logger.info(`Recommendation stored successfully with ID: ${result.rows[0].id}`);
return {
success: true,
id: result.rows[0].id,
createdAt: result.rows[0].created_at
};
} catch (error) {
logger.error('Error storing recommendation:', error);
return {
success: false,
error: error.message
};
}
}
async getRecommendationById(id) {
const query = 'SELECT * FROM claude_recommendations WHERE id = $1';
try {
const result = await this.pool.query(query, [id]);
return result.rows[0] || null;
} catch (error) {
logger.error('Error fetching recommendation by ID:', error);
return null;
}
}
async getRecommendationsByDomain(domain, limit = 10) {
const query = `
SELECT * FROM claude_recommendations
WHERE domain = $1
ORDER BY created_at DESC
LIMIT $2
`;
try {
const result = await this.pool.query(query, [domain, limit]);
return result.rows;
} catch (error) {
logger.error('Error fetching recommendations by domain:', error);
return [];
}
}
async getRecommendationsByTemplateId(templateId, limit = 10) {
const query = `
SELECT * FROM claude_recommendations
WHERE template_id = $1
ORDER BY created_at DESC
LIMIT $2
`;
try {
const result = await this.pool.query(query, [templateId, limit]);
return result.rows;
} catch (error) {
logger.error('Error fetching recommendations by template ID:', error);
return [];
}
}
async getRecentRecommendations(limit = 20) {
const query = `
SELECT * FROM claude_recommendations
ORDER BY created_at DESC
LIMIT $1
`;
try {
const result = await this.pool.query(query, [limit]);
return result.rows;
} catch (error) {
logger.error('Error fetching recent recommendations:', error);
return [];
}
}
async getRecommendationStats() {
const query = `
SELECT
COUNT(*) as total_recommendations,
COUNT(DISTINCT domain) as unique_domains,
COUNT(DISTINCT template_id) as unique_templates,
AVG(recommendation_score) as avg_score,
AVG(processing_time) as avg_processing_time,
MIN(created_at) as first_recommendation,
MAX(created_at) as last_recommendation
FROM claude_recommendations
`;
try {
const result = await this.pool.query(query);
return result.rows[0];
} catch (error) {
logger.error('Error fetching recommendation stats:', error);
return null;
}
}
async isHealthy() {
try {
await this.pool.query('SELECT 1');
return true;
} catch (error) {
logger.error('Database health check failed:', error);
return false;
}
}
async close() {
try {
await this.pool.end();
logger.info('Database connection pool closed');
} catch (error) {
logger.error('Error closing database connection:', error);
}
}
}
module.exports = DatabaseService;

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const axios = require('axios');
const logger = require('../utils/logger');
class TechStackService {
constructor() {
this.baseURL = process.env.TECH_STACK_SELECTOR_URL || 'http://pipeline_tech_stack_selector:8002';
this.timeout = parseInt(process.env.REQUEST_TIMEOUT) || 30000;
}
/**
* Get tech stack recommendations from tech-stack-selector service
* @param {Object} params - Request parameters
* @param {string} params.domain - Domain for recommendations
* @param {number} params.budget - Budget constraint
* @param {Array<string>} params.preferredTechnologies - Preferred technologies
* @returns {Promise<Object>} Recommendations from tech-stack-selector
*/
async getRecommendations({ domain, budget, preferredTechnologies }) {
try {
logger.info({
message: 'Fetching recommendations from tech-stack-selector',
domain,
budget,
preferredTechnologies
});
const requestData = {
domain,
budget,
preferredTechnologies
};
// Remove undefined values
Object.keys(requestData).forEach(key => {
if (requestData[key] === undefined) {
delete requestData[key];
}
});
const response = await axios.post(
`${this.baseURL}/recommend/best`,
requestData,
{
timeout: this.timeout,
headers: {
'Content-Type': 'application/json',
'User-Agent': 'Unison-Service/1.0'
}
}
);
if (response.data.success) {
logger.info({
message: 'Successfully fetched recommendations from tech-stack-selector',
count: response.data.count,
budget: response.data.budget,
domain: response.data.domain
});
return {
success: true,
data: response.data,
source: 'tech-stack-selector'
};
} else {
throw new Error(`Tech-stack-selector returned error: ${response.data.error || 'Unknown error'}`);
}
} catch (error) {
logger.error({
message: 'Failed to fetch recommendations from tech-stack-selector',
error: error.message,
domain,
budget,
preferredTechnologies
});
throw new Error(`Tech-stack-selector service error: ${error.message}`);
}
}
/**
* Get price tiers from tech-stack-selector service
* @returns {Promise<Object>} Price tiers data
*/
async getPriceTiers() {
try {
logger.info('Fetching price tiers from tech-stack-selector');
const response = await axios.get(
`${this.baseURL}/api/price-tiers`,
{
timeout: this.timeout,
headers: {
'User-Agent': 'Unison-Service/1.0'
}
}
);
if (response.data.success) {
logger.info({
message: 'Successfully fetched price tiers from tech-stack-selector',
count: response.data.count
});
return {
success: true,
data: response.data,
source: 'tech-stack-selector'
};
} else {
throw new Error(`Tech-stack-selector returned error: ${response.data.error || 'Unknown error'}`);
}
} catch (error) {
logger.error({
message: 'Failed to fetch price tiers from tech-stack-selector',
error: error.message
});
throw new Error(`Tech-stack-selector service error: ${error.message}`);
}
}
/**
* Get technologies by tier from tech-stack-selector service
* @param {string} tierName - Name of the price tier
* @returns {Promise<Object>} Technologies for the tier
*/
async getTechnologiesByTier(tierName) {
try {
logger.info({
message: 'Fetching technologies by tier from tech-stack-selector',
tierName
});
const response = await axios.get(
`${this.baseURL}/api/technologies/${encodeURIComponent(tierName)}`,
{
timeout: this.timeout,
headers: {
'User-Agent': 'Unison-Service/1.0'
}
}
);
if (response.data.success) {
logger.info({
message: 'Successfully fetched technologies by tier from tech-stack-selector',
tierName,
count: response.data.count
});
return {
success: true,
data: response.data,
source: 'tech-stack-selector'
};
} else {
throw new Error(`Tech-stack-selector returned error: ${response.data.error || 'Unknown error'}`);
}
} catch (error) {
logger.error({
message: 'Failed to fetch technologies by tier from tech-stack-selector',
error: error.message,
tierName
});
throw new Error(`Tech-stack-selector service error: ${error.message}`);
}
}
/**
* Check health of tech-stack-selector service
* @returns {Promise<Object>} Health status
*/
async checkHealth() {
try {
const response = await axios.get(
`${this.baseURL}/health`,
{
timeout: parseInt(process.env.HEALTH_CHECK_TIMEOUT) || 5000,
headers: {
'User-Agent': 'Unison-HealthCheck/1.0'
}
}
);
return {
status: 'healthy',
data: response.data,
responseTime: response.headers['x-response-time'] || 'unknown'
};
} catch (error) {
logger.warn({
message: 'Tech-stack-selector health check failed',
error: error.message
});
return {
status: 'unhealthy',
error: error.message
};
}
}
}
module.exports = new TechStackService();

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const axios = require('axios');
const logger = require('../utils/logger');
class TemplateService {
constructor() {
this.baseURL = process.env.TEMPLATE_MANAGER_URL || 'http://pipeline_template_manager:8009';
this.aiURL = process.env.TEMPLATE_MANAGER_AI_URL || 'http://pipeline_template_manager:8013';
this.timeout = parseInt(process.env.REQUEST_TIMEOUT) || 30000;
}
/**
* Get template by ID from template-manager service
* @param {string} templateId - Template ID
* @returns {Promise<Object>} Template data
*/
async getTemplate(templateId) {
try {
logger.info({
message: 'Fetching template from template-manager',
templateId
});
const response = await axios.get(
`${this.baseURL}/api/templates/${templateId}`,
{
timeout: this.timeout,
headers: {
'User-Agent': 'Unison-Service/1.0'
}
}
);
if (response.data.success) {
logger.info({
message: 'Successfully fetched template from template-manager',
templateId,
templateName: response.data.data?.name || 'Unknown'
});
return {
success: true,
data: response.data.data,
source: 'template-manager'
};
} else {
throw new Error(`Template-manager returned error: ${response.data.error || 'Unknown error'}`);
}
} catch (error) {
logger.error({
message: 'Failed to fetch template from template-manager',
error: error.message,
templateId
});
throw new Error(`Template-manager service error: ${error.message}`);
}
}
/**
* Get AI recommendations for a template
* @param {string} templateId - Template ID
* @param {Object} options - Request options
* @param {boolean} options.forceRefresh - Force refresh recommendations
* @returns {Promise<Object>} AI recommendations
*/
async getAIRecommendations(templateId, options = {}) {
try {
logger.info({
message: 'Fetching AI recommendations from template-manager',
templateId,
options
});
const requestData = {
template_id: templateId
};
if (options.forceRefresh) {
requestData.force_refresh = true;
}
const url = `${this.aiURL}/ai/recommendations`;
const response = await axios.post(url, requestData, {
timeout: this.timeout,
headers: {
'User-Agent': 'Unison-Service/1.0',
'Content-Type': 'application/json'
}
});
// AI service returns data directly (not wrapped in success object)
if (response.data && response.data.stack_name) {
logger.info({
message: 'Successfully fetched AI recommendations from template-manager',
templateId,
stackName: response.data.stack_name || 'Unknown'
});
return {
success: true,
data: response.data,
source: 'template-manager-ai'
};
} else {
throw new Error(`Template-manager AI returned invalid data: ${JSON.stringify(response.data)}`);
}
} catch (error) {
logger.error({
message: 'Failed to fetch AI recommendations from template-manager',
error: error.message,
templateId,
options
});
throw new Error(`Template-manager AI service error: ${error.message}`);
}
}
/**
* Select template with additional options
* @param {string} templateId - Template ID
* @param {Object} options - Selection options
* @param {boolean} options.includeSimilar - Include similar templates
* @param {boolean} options.includeKeywords - Include keywords
* @returns {Promise<Object>} Template selection data
*/
async selectTemplate(templateId, options = {}) {
try {
logger.info({
message: 'Selecting template from template-manager',
templateId,
options
});
const queryParams = new URLSearchParams();
if (options.includeSimilar) {
queryParams.append('include_similar', 'true');
}
if (options.includeKeywords) {
queryParams.append('include_keywords', 'true');
}
const url = `${this.baseURL}/api/templates/${templateId}/select${queryParams.toString() ? '?' + queryParams.toString() : ''}`;
const response = await axios.get(url, {
timeout: this.timeout,
headers: {
'User-Agent': 'Unison-Service/1.0'
}
});
if (response.data.success) {
logger.info({
message: 'Successfully selected template from template-manager',
templateId
});
return {
success: true,
data: response.data.data,
source: 'template-manager'
};
} else {
throw new Error(`Template-manager returned error: ${response.data.error || 'Unknown error'}`);
}
} catch (error) {
logger.error({
message: 'Failed to select template from template-manager',
error: error.message,
templateId,
options
});
throw new Error(`Template-manager service error: ${error.message}`);
}
}
/**
* Get all templates from template-manager service
* @param {Object} options - Query options
* @returns {Promise<Object>} Templates list
*/
async getTemplates(options = {}) {
try {
logger.info({
message: 'Fetching templates from template-manager',
options
});
const queryParams = new URLSearchParams();
Object.keys(options).forEach(key => {
if (options[key] !== undefined) {
queryParams.append(key, options[key]);
}
});
const url = `${this.baseURL}/api/templates${queryParams.toString() ? '?' + queryParams.toString() : ''}`;
const response = await axios.get(url, {
timeout: this.timeout,
headers: {
'User-Agent': 'Unison-Service/1.0'
}
});
if (response.data.success) {
logger.info({
message: 'Successfully fetched templates from template-manager',
count: response.data.data?.length || 0
});
return {
success: true,
data: response.data.data,
source: 'template-manager'
};
} else {
throw new Error(`Template-manager returned error: ${response.data.error || 'Unknown error'}`);
}
} catch (error) {
logger.error({
message: 'Failed to fetch templates from template-manager',
error: error.message,
options
});
throw new Error(`Template-manager service error: ${error.message}`);
}
}
/**
* Check health of template-manager service
* @returns {Promise<Object>} Health status
*/
async checkHealth() {
try {
const response = await axios.get(
`${this.baseURL}/health`,
{
timeout: parseInt(process.env.HEALTH_CHECK_TIMEOUT) || 5000,
headers: {
'User-Agent': 'Unison-HealthCheck/1.0'
}
}
);
return {
status: 'healthy',
data: response.data,
responseTime: response.headers['x-response-time'] || 'unknown'
};
} catch (error) {
logger.warn({
message: 'Template-manager health check failed',
error: error.message
});
return {
status: 'unhealthy',
error: error.message
};
}
}
/**
* Check health of template-manager AI service
* @returns {Promise<Object>} Health status
*/
async checkAIHealth() {
try {
const response = await axios.get(
`${this.aiURL}/health`,
{
timeout: parseInt(process.env.HEALTH_CHECK_TIMEOUT) || 5000,
headers: {
'User-Agent': 'Unison-HealthCheck/1.0'
}
}
);
return {
status: 'healthy',
data: response.data,
responseTime: response.headers['x-response-time'] || 'unknown'
};
} catch (error) {
logger.warn({
message: 'Template-manager AI health check failed',
error: error.message
});
return {
status: 'unhealthy',
error: error.message
};
}
}
}
module.exports = new TemplateService();

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const winston = require('winston');
const path = require('path');
// Create logs directory if it doesn't exist
const fs = require('fs');
const logDir = path.join(__dirname, '../../logs');
if (!fs.existsSync(logDir)) {
fs.mkdirSync(logDir, { recursive: true });
}
// Define log format
const logFormat = winston.format.combine(
winston.format.timestamp({
format: 'YYYY-MM-DD HH:mm:ss'
}),
winston.format.errors({ stack: true }),
winston.format.json(),
winston.format.prettyPrint()
);
// Create logger instance
const logger = winston.createLogger({
level: process.env.LOG_LEVEL || 'info',
format: logFormat,
defaultMeta: { service: 'unison' },
transports: [
// Write all logs with level 'error' and below to error.log
new winston.transports.File({
filename: path.join(logDir, 'error.log'),
level: 'error',
maxsize: 5242880, // 5MB
maxFiles: 5,
}),
// Write all logs with level 'info' and below to combined.log
new winston.transports.File({
filename: path.join(logDir, 'combined.log'),
maxsize: 5242880, // 5MB
maxFiles: 5,
}),
],
});
// If we're not in production, log to the console as well
if (process.env.NODE_ENV !== 'production') {
logger.add(new winston.transports.Console({
format: winston.format.combine(
winston.format.colorize(),
winston.format.simple(),
winston.format.printf(({ timestamp, level, message, ...meta }) => {
return `${timestamp} [${level}]: ${message} ${Object.keys(meta).length ? JSON.stringify(meta, null, 2) : ''}`;
})
)
}));
}
// Create a stream object for Morgan HTTP logging
logger.stream = {
write: (message) => {
logger.info(message.trim());
}
};
module.exports = logger;

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const Ajv = require('ajv');
const addFormats = require('ajv-formats');
const logger = require('./logger');
class SchemaValidator {
constructor() {
this.ajv = new Ajv({
allErrors: true,
verbose: true,
strict: false
});
addFormats(this.ajv);
// Define schemas
this.schemas = {
unifiedRecommendation: this.getUnifiedRecommendationSchema(),
techStackRequest: this.getTechStackRequestSchema(),
templateRequest: this.getTemplateRequestSchema()
};
// Compile schemas
this.compiledSchemas = {};
for (const [name, schema] of Object.entries(this.schemas)) {
try {
this.compiledSchemas[name] = this.ajv.compile(schema);
logger.info(`Schema '${name}' compiled successfully`);
} catch (error) {
logger.error(`Failed to compile schema '${name}': ${error.message}`);
}
}
}
/**
* Get the unified recommendation schema
* @returns {Object} JSON schema for unified recommendations
*/
getUnifiedRecommendationSchema() {
return {
type: 'object',
required: [
'stack_name', 'monthly_cost', 'setup_cost', 'team_size', 'development_time',
'satisfaction', 'success_rate', 'frontend', 'backend', 'database', 'cloud',
'testing', 'devops', 'recommended_tool', 'recommendation_score', 'message'
],
properties: {
stack_name: {
type: 'string',
minLength: 1,
maxLength: 100,
description: 'Descriptive name for the tech stack'
},
monthly_cost: {
type: 'number',
minimum: 0,
maximum: 10000,
description: 'Monthly operational cost in USD'
},
setup_cost: {
type: 'number',
minimum: 0,
maximum: 50000,
description: 'One-time setup cost in USD'
},
team_size: {
type: 'string',
pattern: '^[0-9]+-[0-9]+$',
description: 'Team size range (e.g., "1-2", "3-5")'
},
development_time: {
type: 'number',
minimum: 1,
maximum: 52,
description: 'Development time in weeks'
},
satisfaction: {
type: 'number',
minimum: 0,
maximum: 100,
description: 'User satisfaction score (0-100)'
},
success_rate: {
type: 'number',
minimum: 0,
maximum: 100,
description: 'Project success rate (0-100)'
},
frontend: {
type: 'string',
minLength: 1,
maxLength: 50,
description: 'Frontend technology'
},
backend: {
type: 'string',
minLength: 1,
maxLength: 50,
description: 'Backend technology'
},
database: {
type: 'string',
minLength: 1,
maxLength: 50,
description: 'Database technology'
},
cloud: {
type: 'string',
minLength: 1,
maxLength: 50,
description: 'Cloud platform'
},
testing: {
type: 'string',
minLength: 1,
maxLength: 50,
description: 'Testing framework'
},
mobile: {
type: 'string',
minLength: 0,
maxLength: 50,
description: 'Mobile technology'
},
devops: {
type: 'string',
minLength: 1,
maxLength: 50,
description: 'DevOps tool'
},
ai_ml: {
type: 'string',
minLength: 0,
maxLength: 50,
description: 'AI/ML technology'
},
recommended_tool: {
type: 'string',
minLength: 1,
maxLength: 50,
description: 'Primary recommended tool'
},
recommendation_score: {
type: 'number',
minimum: 0,
maximum: 100,
description: 'Overall recommendation score (0-100)'
},
message: {
type: 'string',
minLength: 1,
maxLength: 500,
description: 'Brief explanation of the recommendation'
}
},
additionalProperties: false
};
}
/**
* Get the tech stack request schema
* @returns {Object} JSON schema for tech stack requests
*/
getTechStackRequestSchema() {
return {
type: 'object',
properties: {
domain: {
type: 'string',
minLength: 1,
maxLength: 100,
description: 'Domain for recommendations'
},
budget: {
type: 'number',
minimum: 0,
maximum: 100000,
description: 'Budget constraint in USD'
},
preferredTechnologies: {
type: 'array',
items: {
type: 'string',
minLength: 1,
maxLength: 50
},
maxItems: 10,
description: 'Preferred technologies'
}
},
additionalProperties: false
};
}
/**
* Get the template request schema
* @returns {Object} JSON schema for template requests
*/
getTemplateRequestSchema() {
return {
type: 'object',
properties: {
templateId: {
type: 'string',
format: 'uuid',
description: 'Template ID'
},
includeSimilar: {
type: 'boolean',
description: 'Include similar templates'
},
includeKeywords: {
type: 'boolean',
description: 'Include keywords'
},
forceRefresh: {
type: 'boolean',
description: 'Force refresh recommendations'
}
},
additionalProperties: false
};
}
/**
* Validate data against a schema
* @param {string} schemaName - Name of the schema
* @param {Object} data - Data to validate
* @returns {Object} Validation result
*/
validate(schemaName, data) {
if (!this.compiledSchemas[schemaName]) {
return {
valid: false,
errors: [`Schema '${schemaName}' not found`]
};
}
const valid = this.compiledSchemas[schemaName](data);
if (valid) {
return {
valid: true,
errors: []
};
} else {
const errors = this.compiledSchemas[schemaName].errors.map(error => {
const path = error.instancePath || 'root';
return `${path}: ${error.message}`;
});
logger.warn({
message: `Schema validation failed for '${schemaName}'`,
errors,
data: JSON.stringify(data, null, 2)
});
return {
valid: false,
errors
};
}
}
/**
* Validate unified recommendation
* @param {Object} recommendation - Recommendation to validate
* @returns {Object} Validation result
*/
validateUnifiedRecommendation(recommendation) {
return this.validate('unifiedRecommendation', recommendation);
}
/**
* Validate tech stack request
* @param {Object} request - Request to validate
* @returns {Object} Validation result
*/
validateTechStackRequest(request) {
return this.validate('techStackRequest', request);
}
/**
* Validate template request
* @param {Object} request - Request to validate
* @returns {Object} Validation result
*/
validateTemplateRequest(request) {
return this.validate('templateRequest', request);
}
/**
* Get all available schemas
* @returns {Array<string>} List of schema names
*/
getAvailableSchemas() {
return Object.keys(this.schemas);
}
/**
* Get schema definition
* @param {string} schemaName - Name of the schema
* @returns {Object|null} Schema definition
*/
getSchema(schemaName) {
return this.schemas[schemaName] || null;
}
}
module.exports = new SchemaValidator();

212
services/unison/start.sh Normal file
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#!/bin/bash
# Unison Service Startup Script
# This script handles the startup of the Unison service with proper error handling and logging
set -e
# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
BLUE='\033[0;34m'
NC='\033[0m' # No Color
# Logging function
log() {
echo -e "${BLUE}[$(date +'%Y-%m-%d %H:%M:%S')]${NC} $1"
}
log_success() {
echo -e "${GREEN}[$(date +'%Y-%m-%d %H:%M:%S')] ✓${NC} $1"
}
log_warning() {
echo -e "${YELLOW}[$(date +'%Y-%m-%d %H:%M:%S')] ⚠${NC} $1"
}
log_error() {
echo -e "${RED}[$(date +'%Y-%m-%d %H:%M:%S')] ✗${NC} $1"
}
# Configuration
SERVICE_NAME="Unison"
SERVICE_PORT=${PORT:-8010}
SERVICE_HOST=${HOST:-0.0.0.0}
NODE_ENV=${NODE_ENV:-development}
LOG_LEVEL=${LOG_LEVEL:-info}
# External service URLs (set by docker-compose.yml)
TECH_STACK_SELECTOR_URL=${TECH_STACK_SELECTOR_URL:-http://pipeline_tech_stack_selector:8002}
TEMPLATE_MANAGER_URL=${TEMPLATE_MANAGER_URL:-http://pipeline_template_manager:8009}
TEMPLATE_MANAGER_AI_URL=${TEMPLATE_MANAGER_AI_URL:-http://pipeline_template_manager:8013}
# Health check URLs (set by docker-compose.yml)
TECH_STACK_SELECTOR_HEALTH_URL=${TECH_STACK_SELECTOR_HEALTH_URL:-http://pipeline_tech_stack_selector:8002/health}
TEMPLATE_MANAGER_HEALTH_URL=${TEMPLATE_MANAGER_HEALTH_URL:-http://pipeline_template_manager:8009/health}
# Timeouts
REQUEST_TIMEOUT=${REQUEST_TIMEOUT:-30000}
HEALTH_CHECK_TIMEOUT=${HEALTH_CHECK_TIMEOUT:-5000}
# Create logs directory
mkdir -p logs
# Load environment variables from config.env if it exists
if [ -f "config.env" ]; then
echo "Loading environment variables from config.env..."
export $(cat config.env | grep -v '^#' | xargs)
fi
# Function to check if a service is healthy
check_service_health() {
local service_name=$1
local health_url=$2
local timeout=${3:-5000}
log "Checking health of $service_name at $health_url..."
if curl -f -s --max-time $((timeout / 1000)) "$health_url" > /dev/null 2>&1; then
log_success "$service_name is healthy"
return 0
else
log_warning "$service_name is not responding"
return 1
fi
}
# Function to wait for external services
wait_for_services() {
log "Waiting for external services to be available..."
local max_attempts=30
local attempt=1
while [ $attempt -le $max_attempts ]; do
log "Attempt $attempt/$max_attempts: Checking external services..."
local tech_stack_healthy=false
local template_manager_healthy=false
if check_service_health "Tech Stack Selector" "$TECH_STACK_SELECTOR_HEALTH_URL" "$HEALTH_CHECK_TIMEOUT"; then
tech_stack_healthy=true
fi
if check_service_health "Template Manager" "$TEMPLATE_MANAGER_HEALTH_URL" "$HEALTH_CHECK_TIMEOUT"; then
template_manager_healthy=true
fi
if [ "$tech_stack_healthy" = true ] && [ "$template_manager_healthy" = true ]; then
log_success "All external services are healthy"
return 0
fi
log_warning "Some services are not ready yet. Waiting 10 seconds..."
sleep 10
attempt=$((attempt + 1))
done
log_error "Timeout waiting for external services after $max_attempts attempts"
log_warning "Starting service anyway - it will handle service unavailability gracefully"
return 1
}
# Function to validate environment
validate_environment() {
log "Validating environment configuration..."
# Check Node.js version
if ! command -v node &> /dev/null; then
log_error "Node.js is not installed"
exit 1
fi
local node_version=$(node --version)
log_success "Node.js version: $node_version"
# Check if package.json exists
if [ ! -f "package.json" ]; then
log_error "package.json not found"
exit 1
fi
# Check if node_modules exists
if [ ! -d "node_modules" ]; then
log_warning "node_modules not found. Installing dependencies..."
npm install
fi
# Check if source directory exists
if [ ! -d "src" ]; then
log_error "Source directory 'src' not found"
exit 1
fi
# Check if main app file exists
if [ ! -f "src/app.js" ]; then
log_error "Main application file 'src/app.js' not found"
exit 1
fi
log_success "Environment validation passed"
}
# Function to start the service
start_service() {
log "Starting $SERVICE_NAME service..."
# Set environment variables
export NODE_ENV
export PORT=$SERVICE_PORT
export HOST=$SERVICE_HOST
export LOG_LEVEL
export TECH_STACK_SELECTOR_URL
export TEMPLATE_MANAGER_URL
export TEMPLATE_MANAGER_AI_URL
export TECH_STACK_SELECTOR_HEALTH_URL
export TEMPLATE_MANAGER_HEALTH_URL
export REQUEST_TIMEOUT
export HEALTH_CHECK_TIMEOUT
# Log configuration
log "Configuration:"
log " Service: $SERVICE_NAME"
log " Port: $SERVICE_PORT"
log " Host: $SERVICE_HOST"
log " Environment: $NODE_ENV"
log " Log Level: $LOG_LEVEL"
log " Tech Stack Selector: $TECH_STACK_SELECTOR_URL"
log " Template Manager: $TEMPLATE_MANAGER_URL"
log " Template Manager AI: $TEMPLATE_MANAGER_AI_URL"
# Start the service
log "Starting Node.js application..."
exec node src/app.js
}
# Function to handle graceful shutdown
cleanup() {
log "Received shutdown signal. Cleaning up..."
log_success "$SERVICE_NAME service stopped gracefully"
exit 0
}
# Set up signal handlers
trap cleanup SIGTERM SIGINT
# Main execution
main() {
log "Starting $SERVICE_NAME service initialization..."
# Validate environment
validate_environment
# Wait for external services (non-blocking)
wait_for_services || true
# Start the service
start_service
}
# Run main function
main "$@"

View File

@ -0,0 +1,647 @@
{
"info": {
"name": "Unison - Unified Tech Stack Recommendation Service",
"_postman_id": "unison-api-complete-2025",
"description": "Complete API collection for Unison service - unified tech stack and template recommendations",
"schema": "https://schema.getpostman.com/json/collection/v2.1.0/collection.json"
},
"variable": [
{
"key": "baseUrl",
"value": "http://localhost:8010",
"type": "string",
"description": "Base URL for Unison service"
},
{
"key": "templateId",
"value": "123e4567-e89b-12d3-a456-426614174000",
"type": "string",
"description": "Sample template ID for testing"
},
{
"key": "recommendationId",
"value": "",
"type": "string",
"description": "Store recommendation ID from unified request"
}
],
"item": [
{
"name": "Service Health & Info",
"item": [
{
"name": "Root Endpoint - Service Info",
"request": {
"method": "GET",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"url": {
"raw": "{{baseUrl}}/",
"host": ["{{baseUrl}}"]
}
},
"event": [
{
"listen": "test",
"script": {
"exec": [
"pm.test(\"Status code is 200\", function () {",
" pm.response.to.have.status(200);",
"});",
"",
"pm.test(\"Response has service info\", function () {",
" const jsonData = pm.response.json();",
" pm.expect(jsonData).to.have.property('message');",
" pm.expect(jsonData).to.have.property('version');",
" pm.expect(jsonData).to.have.property('status');",
"});"
]
}
}
]
},
{
"name": "Health Check",
"request": {
"method": "GET",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"url": {
"raw": "{{baseUrl}}/health",
"host": ["{{baseUrl}}"],
"path": ["health"]
}
},
"event": [
{
"listen": "test",
"script": {
"exec": [
"pm.test(\"Health check responds\", function () {",
" pm.response.to.have.status.oneOf([200, 503]);",
"});",
"",
"pm.test(\"Has health status\", function () {",
" const jsonData = pm.response.json();",
" pm.expect(jsonData).to.have.property('status');",
" pm.expect(jsonData).to.have.property('service', 'unison');",
"});"
]
}
}
]
},
{
"name": "Detailed Health Check",
"request": {
"method": "GET",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"url": {
"raw": "{{baseUrl}}/health/detailed",
"host": ["{{baseUrl}}"],
"path": ["health", "detailed"]
}
}
}
]
},
{
"name": "Unified Recommendations",
"item": [
{
"name": "Unified - Domain Only (Basic)",
"request": {
"method": "POST",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"body": {
"mode": "raw",
"raw": "{\n \"domain\": \"healthcare\",\n \"budget\": 10000\n}"
},
"url": {
"raw": "{{baseUrl}}/api/recommendations/unified",
"host": ["{{baseUrl}}"],
"path": ["api", "recommendations", "unified"]
}
},
"event": [
{
"listen": "test",
"script": {
"exec": [
"pm.test(\"Status code is 200\", function () {",
" pm.response.to.have.status(200);",
"});",
"",
"pm.test(\"Response has recommendation data\", function () {",
" const jsonData = pm.response.json();",
" pm.expect(jsonData).to.have.property('success', true);",
" pm.expect(jsonData).to.have.property('data');",
" pm.expect(jsonData.data).to.have.property('stack_name');",
"});",
"",
"pm.test(\"Save request ID\", function () {",
" const jsonData = pm.response.json();",
" if (jsonData.requestId) {",
" pm.collectionVariables.set('recommendationId', jsonData.requestId);",
" }",
"});"
]
}
}
]
},
{
"name": "Unified - With Template ID",
"request": {
"method": "POST",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"body": {
"mode": "raw",
"raw": "{\n \"domain\": \"ecommerce\",\n \"budget\": 15000,\n \"templateId\": \"{{templateId}}\",\n \"preferredTechnologies\": [\"React\", \"Node.js\"],\n \"includeSimilar\": true,\n \"includeKeywords\": true,\n \"forceRefresh\": false\n}"
},
"url": {
"raw": "{{baseUrl}}/api/recommendations/unified",
"host": ["{{baseUrl}}"],
"path": ["api", "recommendations", "unified"]
}
}
},
{
"name": "Unified - Full Parameters",
"request": {
"method": "POST",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"body": {
"mode": "raw",
"raw": "{\n \"domain\": \"fintech\",\n \"budget\": 25000,\n \"templateId\": \"{{templateId}}\",\n \"preferredTechnologies\": [\"React\", \"Python\", \"PostgreSQL\"],\n \"includeSimilar\": true,\n \"includeKeywords\": true,\n \"forceRefresh\": true\n}"
},
"url": {
"raw": "{{baseUrl}}/api/recommendations/unified",
"host": ["{{baseUrl}}"],
"path": ["api", "recommendations", "unified"]
}
}
},
{
"name": "Unified - Minimal Request",
"request": {
"method": "POST",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"body": {
"mode": "raw",
"raw": "{}"
},
"url": {
"raw": "{{baseUrl}}/api/recommendations/unified",
"host": ["{{baseUrl}}"],
"path": ["api", "recommendations", "unified"]
}
}
}
]
},
{
"name": "Individual Service Recommendations",
"item": [
{
"name": "Tech Stack Only - Basic",
"request": {
"method": "GET",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"url": {
"raw": "{{baseUrl}}/api/recommendations/tech-stack?domain=healthcare&budget=10000",
"host": ["{{baseUrl}}"],
"path": ["api", "recommendations", "tech-stack"],
"query": [
{
"key": "domain",
"value": "healthcare"
},
{
"key": "budget",
"value": "10000"
}
]
}
}
},
{
"name": "Tech Stack Only - With Preferences",
"request": {
"method": "GET",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"url": {
"raw": "{{baseUrl}}/api/recommendations/tech-stack?domain=ecommerce&budget=15000&preferredTechnologies=React,Node.js,PostgreSQL",
"host": ["{{baseUrl}}"],
"path": ["api", "recommendations", "tech-stack"],
"query": [
{
"key": "domain",
"value": "ecommerce"
},
{
"key": "budget",
"value": "15000"
},
{
"key": "preferredTechnologies",
"value": "React,Node.js,PostgreSQL"
}
]
}
}
},
{
"name": "Template Only - Basic",
"request": {
"method": "GET",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"url": {
"raw": "{{baseUrl}}/api/recommendations/template/{{templateId}}",
"host": ["{{baseUrl}}"],
"path": ["api", "recommendations", "template", "{{templateId}}"]
}
}
},
{
"name": "Template Only - Force Refresh",
"request": {
"method": "GET",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"url": {
"raw": "{{baseUrl}}/api/recommendations/template/{{templateId}}?force_refresh=true",
"host": ["{{baseUrl}}"],
"path": ["api", "recommendations", "template", "{{templateId}}"],
"query": [
{
"key": "force_refresh",
"value": "true"
}
]
}
}
}
]
},
{
"name": "Stored Recommendations",
"item": [
{
"name": "Get Recent Recommendations",
"request": {
"method": "GET",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"url": {
"raw": "{{baseUrl}}/api/recommendations/stored?limit=10",
"host": ["{{baseUrl}}"],
"path": ["api", "recommendations", "stored"],
"query": [
{
"key": "limit",
"value": "10"
}
]
}
}
},
{
"name": "Get Recommendations by Domain",
"request": {
"method": "GET",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"url": {
"raw": "{{baseUrl}}/api/recommendations/stored?domain=healthcare&limit=5",
"host": ["{{baseUrl}}"],
"path": ["api", "recommendations", "stored"],
"query": [
{
"key": "domain",
"value": "healthcare"
},
{
"key": "limit",
"value": "5"
}
]
}
}
},
{
"name": "Get Recommendations by Template ID",
"request": {
"method": "GET",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"url": {
"raw": "{{baseUrl}}/api/recommendations/stored?templateId={{templateId}}&limit=5",
"host": ["{{baseUrl}}"],
"path": ["api", "recommendations", "stored"],
"query": [
{
"key": "templateId",
"value": "{{templateId}}"
},
{
"key": "limit",
"value": "5"
}
]
}
}
},
{
"name": "Get Specific Recommendation by ID",
"request": {
"method": "GET",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"url": {
"raw": "{{baseUrl}}/api/recommendations/stored/{{recommendationId}}",
"host": ["{{baseUrl}}"],
"path": ["api", "recommendations", "stored", "{{recommendationId}}"]
}
}
},
{
"name": "Get Recommendation Statistics",
"request": {
"method": "GET",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"url": {
"raw": "{{baseUrl}}/api/recommendations/stats",
"host": ["{{baseUrl}}"],
"path": ["api", "recommendations", "stats"]
}
}
}
]
},
{
"name": "Schemas & Validation",
"item": [
{
"name": "Get Available Schemas",
"request": {
"method": "GET",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"url": {
"raw": "{{baseUrl}}/api/recommendations/schemas",
"host": ["{{baseUrl}}"],
"path": ["api", "recommendations", "schemas"]
}
}
}
]
},
{
"name": "Error Testing",
"item": [
{
"name": "Invalid Template ID",
"request": {
"method": "GET",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"url": {
"raw": "{{baseUrl}}/api/recommendations/template/invalid-uuid",
"host": ["{{baseUrl}}"],
"path": ["api", "recommendations", "template", "invalid-uuid"]
}
},
"event": [
{
"listen": "test",
"script": {
"exec": [
"pm.test(\"Should return error for invalid UUID\", function () {",
" pm.response.to.have.status.oneOf([400, 500]);",
"});",
"",
"pm.test(\"Error response has success false\", function () {",
" const jsonData = pm.response.json();",
" pm.expect(jsonData).to.have.property('success', false);",
"});"
]
}
}
]
},
{
"name": "Invalid Unified Request",
"request": {
"method": "POST",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"body": {
"mode": "raw",
"raw": "{\n \"budget\": \"invalid-budget\",\n \"preferredTechnologies\": \"not-an-array\"\n}"
},
"url": {
"raw": "{{baseUrl}}/api/recommendations/unified",
"host": ["{{baseUrl}}"],
"path": ["api", "recommendations", "unified"]
}
}
},
{
"name": "404 Test - Invalid Route",
"request": {
"method": "GET",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"url": {
"raw": "{{baseUrl}}/api/nonexistent-endpoint",
"host": ["{{baseUrl}}"],
"path": ["api", "nonexistent-endpoint"]
}
},
"event": [
{
"listen": "test",
"script": {
"exec": [
"pm.test(\"Status code is 404\", function () {",
" pm.response.to.have.status(404);",
"});",
"",
"pm.test(\"Has error message\", function () {",
" const jsonData = pm.response.json();",
" pm.expect(jsonData).to.have.property('error');",
"});"
]
}
}
]
}
]
},
{
"name": "Load Testing Scenarios",
"item": [
{
"name": "Multiple Domains Test",
"request": {
"method": "POST",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"body": {
"mode": "raw",
"raw": "{\n \"domain\": \"{{$randomArrayElement(['healthcare', 'ecommerce', 'fintech', 'education', 'gaming'])}}\",\n \"budget\": {{$randomInt}}\n}"
},
"url": {
"raw": "{{baseUrl}}/api/recommendations/unified",
"host": ["{{baseUrl}}"],
"path": ["api", "recommendations", "unified"]
}
}
},
{
"name": "Concurrent Request Simulation",
"request": {
"method": "POST",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"body": {
"mode": "raw",
"raw": "{\n \"domain\": \"stress-test\",\n \"budget\": 5000,\n \"preferredTechnologies\": [\"React\", \"Node.js\"]\n}"
},
"url": {
"raw": "{{baseUrl}}/api/recommendations/unified",
"host": ["{{baseUrl}}"],
"path": ["api", "recommendations", "unified"]
}
}
}
]
}
],
"event": [
{
"listen": "prerequest",
"script": {
"type": "text/javascript",
"exec": [
"// Log request details",
"console.log('Making request to:', pm.request.url.toString());"
]
}
},
{
"listen": "test",
"script": {
"type": "text/javascript",
"exec": [
"// Global test - log response time",
"const responseTime = pm.response.responseTime;",
"console.log('Response time:', responseTime + 'ms');",
"",
"// Global test - check for valid JSON",
"pm.test('Response is valid JSON', function () {",
" pm.response.to.be.json;",
"});"
]
}
}
]
}

View File

@ -1,17 +1,12 @@
-- User Authentication Database Schema
-- JWT-based authentication with user preferences for template features
-- Drop tables if they exist (for development)
DROP TABLE IF EXISTS user_feature_preferences CASCADE;
DROP TABLE IF EXISTS user_sessions CASCADE;
DROP TABLE IF EXISTS refresh_tokens CASCADE;
DROP TABLE IF EXISTS users CASCADE;
DROP TABLE IF EXISTS user_projects CASCADE;
-- Create tables only if they don't exist (production-safe)
-- Users table - Core user accounts
CREATE TABLE users (
CREATE TABLE IF NOT EXISTS users (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
username VARCHAR(50) NOT NULL UNIQUE,
email VARCHAR(255) NOT NULL UNIQUE,
@ -27,7 +22,7 @@ CREATE TABLE users (
);
-- Refresh tokens table
CREATE TABLE refresh_tokens (
CREATE TABLE IF NOT EXISTS refresh_tokens (
id UUID PRIMARY KEY,
user_id UUID REFERENCES users(id) ON DELETE CASCADE,
token_hash VARCHAR(255) NOT NULL,
@ -38,7 +33,7 @@ CREATE TABLE refresh_tokens (
);
-- User sessions table
CREATE TABLE user_sessions (
CREATE TABLE IF NOT EXISTS user_sessions (
id UUID PRIMARY KEY,
user_id UUID REFERENCES users(id) ON DELETE CASCADE,
session_token VARCHAR(255) UNIQUE,
@ -51,7 +46,7 @@ CREATE TABLE user_sessions (
expires_at TIMESTAMP DEFAULT NOW() + INTERVAL '30 days'
);
-- User feature preferences table
CREATE TABLE user_feature_preferences (
CREATE TABLE IF NOT EXISTS user_feature_preferences (
id UUID PRIMARY KEY,
user_id UUID REFERENCES users(id) ON DELETE CASCADE,
template_type VARCHAR(100) NOT NULL,
@ -63,7 +58,7 @@ CREATE TABLE user_feature_preferences (
UNIQUE(user_id, template_type, feature_id, preference_type)
);
-- User projects table
CREATE TABLE user_projects (
CREATE TABLE IF NOT EXISTS user_projects (
id UUID PRIMARY KEY,
user_id UUID REFERENCES users(id) ON DELETE CASCADE,
project_name VARCHAR(200) NOT NULL,