Standardize settings file naming and relocate documentation files Fix code quality violations from rsx:check Reorganize user_management directory into logical subdirectories Move Quill Bundle to core and align with Tom Select pattern Simplify Site Settings page to focus on core site information Complete Phase 5: Multi-tenant authentication with login flow and site selection Add route query parameter rule and synchronize filename validation logic Fix critical bug in UpdateNpmCommand causing missing JavaScript stubs Implement filename convention rule and resolve VS Code auto-rename conflict Implement js-sanitizer RPC server to eliminate 900+ Node.js process spawns Implement RPC server architecture for JavaScript parsing WIP: Add RPC server infrastructure for JS parsing (partial implementation) Update jqhtml terminology from destroy to stop, fix datagrid DOM preservation Add JQHTML-CLASS-01 rule and fix redundant class names Improve code quality rules and resolve violations Remove legacy fatal error format in favor of unified 'fatal' error type Filter internal keys from window.rsxapp output Update button styling and comprehensive form/modal documentation Add conditional fly-in animation for modals Fix non-deterministic bundle compilation 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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JavaScript Parser - RPC Server Architecture
Problem Statement
RSpade's manifest build system needs to parse ~1,200+ JavaScript files to extract metadata (classes, methods, decorators, etc). The original implementation spawned a new Node.js process for each file:
foreach ($js_files as $file) {
$process = new Process(['node', 'js-parser.js', $file]);
$process->run();
// ... parse output
}
Performance Impact:
- 1,200+ process spawns per clean build
- Each spawn: ~50-150ms overhead
- Total overhead: 60-180 seconds just for process management
- Plus Node.js interpreter startup time per file
Solution: Long-Running RPC Server
Replace N process spawns with ONE long-running Node.js server that handles all parse requests via RPC over a Unix domain socket.
Benefits:
- Single Node.js interpreter startup
- No process spawn overhead per file
- Batch processing support
- ~25-50x speedup for clean builds
Architecture
Components
1. PHP Client (Js_Parser.php)
- Manages RPC server lifecycle
- Provides static methods for server operations
- Integrates with existing parse/cache logic
2. Node.js RPC Server (js-parser-server.js)
- Long-running process listening on Unix socket
- Handles JSON-RPC style requests
- Processes multiple files per request (batch support)
3. Unix Domain Socket
- Path:
storage/rsx-tmp/js-parser-server.sock - Protocol: Line-delimited JSON
- No port conflicts, no network stack overhead
Communication Protocol
Request Format:
{"id": 1, "method": "parse", "files": ["path1.js", "path2.js"]}\n
Response Format:
{"id": 1, "results": {"path1.js": {...}, "path2.js": {...}}}\n
Methods:
ping→{id: N, result: "pong"}- Health checkparse→{id: N, results: {file: data, ...}}- Parse filesshutdown→{id: N, result: "shutting down"}- Graceful stop
Line-delimited JSON allows simple stream parsing without complex framing.
Server Lifecycle
1. Lazy Initialization
Server only starts when first JS file needs parsing (during manifest build Phase 2):
public static function extract_metadata(string $file_path): array
{
// Start RPC server on first parse (lazy initialization)
if (static::$rpc_server_process === null) {
static::start_rpc_server();
}
// ... continue parsing
}
2. Startup Procedure
When start_rpc_server() is called:
-
Check for stale server:
if (file_exists($socket_path)) { static::stop_rpc_server(force: true); }Force-stop any existing server to ensure clean slate.
-
Spawn Node process:
$process = new Process([ 'node', base_path('app/RSpade/Core/JavaScript/resource/js-parser-server.js'), '--socket=' . $socket_path ]); $process->start(); -
Wait for ready (ping/pong):
for ($i = 0; $i < 200; $i++) { // 10 seconds max usleep(50000); // 50ms if (static::ping_rpc_server()) { // Server ready! break; } } -
Fatal error on timeout:
if (!$ready) { throw new \RuntimeException('Failed to start RPC server'); } -
Register shutdown handler:
register_shutdown_function([self::class, 'stop_rpc_server']);
3. Normal Operation
During manifest build, all JS parsing goes through the RPC server:
// Future implementation:
$results = static::parse_via_rpc([
'file1.js',
'file2.js',
// ... batch of 50 files
]);
Cache is checked first - only uncached files sent to RPC.
4. Graceful Shutdown
When manifest build completes:
public static function stop_rpc_server(bool $force = false): void
{
// Send shutdown command
$sock = stream_socket_client("unix://{$socket_path}");
fwrite($sock, json_encode(['method' => 'shutdown']) . "\n");
fclose($sock);
if ($force) {
// Wait and force kill if needed
sleep(1);
if ($process->isRunning()) {
$process->stop(3, SIGTERM);
}
}
// Otherwise just send command and return immediately
}
Force Stop Parameter
stop_rpc_server($force = false) has two modes:
Normal Mode ($force = false)
- Send shutdown command
- Return immediately
- Trust server will exit gracefully
- Used during normal shutdown (shutdown handler)
Force Mode ($force = true)
- Send shutdown command
- Wait 1 second
- If still running, send SIGTERM
- Clean up socket file
- Used when detecting stale server at startup
Why two modes?
At startup, we need to ensure old server is gone before starting new one (force mode). During normal shutdown, we don't need to wait - the server will handle shutdown and PHP exit won't block (normal mode).
Node.js Server Implementation
Key Design Decisions
1. Line-Delimited JSON
Simple, no complex framing needed:
socket.on('data', (data) => {
buffer += data.toString();
let newlineIndex;
while ((newlineIndex = buffer.indexOf('\n')) !== -1) {
const line = buffer.substring(0, newlineIndex);
buffer = buffer.substring(newlineIndex + 1);
handleRequest(line);
}
});
2. Synchronous File Processing
Parse files sequentially in single request handler - simpler than async complexity for this use case.
3. Graceful Shutdown Handling
if (request.method === 'shutdown') {
socket.end();
server.close(() => {
fs.unlinkSync(socketPath);
process.exit(0);
});
}
4. Signal Handlers
Ensure socket cleanup on unexpected termination:
process.on('SIGTERM', () => {
server.close(() => {
fs.unlinkSync(socketPath);
process.exit(0);
});
});
Cache Integration
The RPC server integrates with existing cache system:
public static function parse($file_path)
{
// Check cache first
if (file_exists($cache_file)) {
return json_decode(file_get_contents($cache_file), true);
}
// Use RPC if server running, else fallback to single-file
if (static::$rpc_server_process !== null) {
return static::parse_via_rpc([$file_path])[$file_path];
}
return static::_parse_without_cache($file_path);
}
Batch Optimization (Future):
Collect uncached files and send in batches to RPC:
$uncached_files = array_filter($files, fn($f) => !cache_exists($f));
$results = static::parse_via_rpc($uncached_files);
foreach ($results as $file => $data) {
cache_result($file, $data);
}
Error Handling
Fatal Error Philosophy
RPC server failure is a fatal error - no fallback to single-file mode. This is intentional:
Why fatal?
- Server startup failure indicates serious system issue (Node.js missing, permissions, etc)
- Failing loudly during development catches problems immediately
- Simpler code - no complex fallback logic
- Performance: fallback would still be slow, defeating the purpose
When does it fail?
- Node.js not installed
- Socket permission issues
- Server crashes during startup
- Timeout waiting for ping (10 seconds)
How to debug:
# Manual server test
node js-parser-server.js --socket=/tmp/test.sock
# Socket connection test
echo '{"id":1,"method":"ping"}' | nc -U /tmp/test.sock
Applying This Pattern Elsewhere
This RPC architecture can be reused for other expensive Node.js operations:
Example: SCSS Compilation
class Scss_Compiler
{
protected const RPC_SOCKET = 'storage/rsx-tmp/scss-compiler.sock';
protected static $rpc_server_process = null;
public static function compile_batch(array $files): array
{
if (static::$rpc_server_process === null) {
static::start_rpc_server();
}
$sock = stream_socket_client('unix://' . base_path(self::RPC_SOCKET));
fwrite($sock, json_encode([
'id' => 1,
'method' => 'compile',
'files' => $files
]) . "\n");
$response = fgets($sock);
fclose($sock);
return json_decode($response, true)['results'];
}
}
Pattern Checklist
When implementing RPC server for another operation:
- ✅ Socket path: Use
storage/rsx-tmp/{name}.sock - ✅ Protocol: Line-delimited JSON
- ✅ Lazy start: Only start when first operation needed
- ✅ Stale cleanup: Force-stop existing server on startup
- ✅ Ping/pong: Wait with timeout, fatal on failure
- ✅ Graceful shutdown: Register shutdown handler
- ✅ Force parameter: Support both normal and force shutdown
- ✅ Signal handlers: Clean up socket on SIGTERM/SIGINT
- ✅ Error handling: Fatal error, no silent fallback
- ✅ Batch support: Process multiple items per request
Key Implementation Files
Reference these when implementing pattern elsewhere:
-
PHP Server Management:
/system/app/RSpade/Core/JavaScript/Js_Parser.php- Methods:
start_rpc_server(),stop_rpc_server(),ping_rpc_server() - Lines: 528-680
- Methods:
-
Node.js RPC Server:
/system/app/RSpade/Core/JavaScript/resource/js-parser-server.js- Full example server with line-delimited JSON handling
- Socket cleanup, signal handlers, graceful shutdown
Performance Characteristics
Clean Build (No Cache)
- Before: 1,200 process spawns = 60-180s overhead
- After: 1 process spawn + RPC calls = 1-2s overhead
- Speedup: ~30-90x for process management alone
Incremental Build (With Cache)
- Most files cached, few parse needed
- RPC overhead minimal (single server already running)
- Similar performance to single-file mode
Memory Usage
- Node.js server: ~50-100MB RAM
- Lives only during manifest build (seconds to minutes)
- Cleaned up automatically after build
Future Enhancements
- Batch Processing: Send 50 files per RPC call instead of 1
- Parallel Parsing: Node.js worker threads for CPU-bound parsing
- Persistent Server: Keep server running between builds (with stale detection)
- Shared RPC Framework: Abstract common RPC patterns into reusable library
- Protocol Upgrade: msgpack or protobuf if JSON parsing becomes bottleneck
Debugging
Check Server Status
# Is server running?
ps aux | grep js-parser-server
# Does socket exist?
ls -lh storage/rsx-tmp/js-parser-server.sock
# Can we connect?
echo '{"id":1,"method":"ping"}' | nc -U storage/rsx-tmp/js-parser-server.sock
Manual Server Test
# Start server manually
node system/app/RSpade/Core/JavaScript/resource/js-parser-server.js \
--socket=/tmp/test.sock
# In another terminal:
echo '{"id":1,"method":"ping"}' | nc -U /tmp/test.sock
# Should return: {"id":1,"result":"pong"}
Common Issues
Server won't start:
- Check Node.js installed:
node --version - Check socket directory writable:
ls -ld storage/rsx-tmp - Check for port/socket conflicts:
lsof -U | grep js-parser
Timeout waiting for ping:
- Server crashed during startup (check stderr)
- Socket permissions issue
- Node.js interpreter not in PATH
Stale socket after crash:
- Handled automatically (force-stop on next start)
- Manual cleanup:
rm storage/rsx-tmp/js-parser-server.sock
Security Considerations
Socket Permissions:
- Unix socket in
storage/rsx-tmpowned by PHP process user - No external access (not network socket)
- Cleaned up automatically
Input Validation:
- Server validates JSON requests
- File paths should be validated before sending to RPC
- No arbitrary code execution risk (parsing pre-validated JS files)
Resource Limits:
- Node.js process limited by OS
- No explicit memory limits (processes ~1-2 files per second)
- Terminates after manifest build completes
Conclusion
The RPC server architecture provides massive performance improvements for operations requiring many Node.js process invocations. The pattern is clean, maintainable, and reusable across different parts of the framework.
Key benefits:
- Performance: 30-90x faster for clean builds
- Reliability: Fatal errors catch problems immediately
- Maintainability: Clear lifecycle, graceful shutdown
- Reusability: Pattern applicable to SCSS, TypeScript, etc.
This README serves as the reference implementation for future RPC servers in RSpade.