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@AbanoubGhadban AbanoubGhadban commented Oct 31, 2025

Summary

Refactors the redisReceiver module to eliminate all module-level global state and move to request-scoped encapsulation. This fixes memory leaks and race conditions in concurrent server-side rendering scenarios.

Changes

Eliminated Global State:

  • ❌ Removed sharedRedisClient - single Redis client shared across all requests
  • ❌ Removed activeListeners - global map tracking all active listeners
  • ❌ Removed module-level pendingPromises - global promise tracking

New Architecture:

  • ✅ Each listenToRequestData() call creates its own dedicated Redis client
  • ✅ All state (pendingPromises, receivedKeys, isActive, etc.) is scoped to the listener instance
  • ✅ No listener reuse or caching - each request is completely isolated

Bug Fixes:

  • Fixed race condition in ensureConnected() where multiple concurrent calls would fail
  • Fixed memory leaks from accumulating undefined entries in maps
  • Guaranteed cleanup of Redis connections in close() method

Benefits

  1. Complete Request Isolation: No shared state between concurrent SSR requests
  2. Memory Leak Prevention: Proper cleanup with no lingering references
  3. Race Condition Fixes: Safe concurrent connection handling
  4. Simpler Code: -18 lines, removed global state management complexity
  5. Better Resource Management: Each request cleans up its own Redis client

Testing

  • ✅ All existing E2E tests pass (streaming.spec.ts)
  • ✅ External API unchanged - no breaking changes to consumers
  • ✅ Maintains promise identity for React Suspense compatibility

Related

Fixes #1893 (if exists)


🤖 Generated with Claude Code

Co-Authored-By: Claude noreply@anthropic.com


This change is Reviewable

Summary by CodeRabbit

  • Refactor

    • Request listeners now use isolated per-listener connections/state with lazy, serialized connect and explicit destroy.
  • Bug Fixes

    • End-of-stream and shutdown reliably cancel pending operations and prevent further reads.
  • Tests

    • New Redis client tests for connect/reconnect, concurrent connect/quit, stream reads, blocking behavior, and TTL/expiry.
  • User-facing API

    • Listener control renamed from "close" to "destroy"; callers updated.
  • UI

    • Error display now includes the error stack.
  • Chores

    • CI workflows: added Redis service for tests and adjusted Rails server environment quoting.

AbanoubGhadban and others added 2 commits October 31, 2025 19:00
…eaks

This commit completely refactors the redisReceiver module to eliminate all
module-level global state and move to request-scoped encapsulation.

Changes:
- Remove global sharedRedisClient, activeListeners, and pendingPromises
- Create private Redis client per listenToRequestData() call
- Move pendingPromises to per-listener scope for complete request isolation
- Remove listener caching mechanism (no reuse via activeListeners)
- Fix race condition bug in connection logic using connectionPromise tracking
- Always close Redis client in close() method (no conditional logic)
- Use delete instead of setting to undefined for proper memory cleanup

Benefits:
- Complete request isolation - no shared state between concurrent requests
- Eliminates memory leaks from accumulating undefined map entries
- Prevents race condition where multiple concurrent connection attempts fail
- Simpler code without global state management complexity
- Better resource management with guaranteed cleanup

External API unchanged - no breaking changes to consumers.

Fixes #1893

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
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coderabbitai bot commented Oct 31, 2025

Walkthrough

Replace module-level Redis globals with per-listener isolated Redis clients and state. Change listenToRequestData to return { getValue, destroy }. Update consumers to use destroy. Add Redis client tests and render error.stack in ErrorComponent.

Changes

Cohort / File(s) Summary
Redis receiver refactor
react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts
Remove module-level globals (shared client, global pending maps, listener registry). Introduce per-listener isolated state and dedicated Redis client, local value maps and per-key promises, serialized connect, blocking XREAD loop per listener, and destroy() to terminate and cleanup. listenToRequestData now returns { getValue, destroy }.
Consumer updates (hook rename)
react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RSCPostsPageOverRedis.jsx, react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RedisReceiver.jsx
Replace destructured close with destroy from listenToRequestData and register destroy with railsContext.addPostSSRHook. No other logic changes.
UI tweak
react_on_rails_pro/spec/dummy/client/app/components/ErrorComponent.tsx
Render error.stack in addition to error.message.
Tests added
react_on_rails_pro/packages/node-renderer/tests/redisClient.test.ts
New tests for Redis client: connect/quit cycles, connect concurrency, quitting during connect/read, xAdd/xRead stream behavior, TTL/expire checks, and cleanup flows.
CI workflows
.github/workflows/pro-integration-tests.yml, .github/workflows/pro-package-tests.yml
Quote RAILS_ENV value when starting Rails server; add Redis service container (cimg/redis:6.2.6) with healthchecks to package-js-tests job.

Sequence Diagram(s)

sequenceDiagram
    autonumber
    participant Consumer
    participant Listener as listenToRequestData
    participant Redis as Redis Client

    Note over Listener: Per-listener isolated state & client

    rect rgb(240,248,255)
        Consumer->>Listener: call listenToRequestData(requestId)
        Listener->>Listener: create local maps, flags, streamKey
    end

    rect rgb(240,255,240)
        Consumer->>Listener: call getValue(key)
        Listener->>Listener: check local map -> if missing, create promise
        Listener->>Listener: ensureConnected() (serialized)
        Listener->>Redis: XREAD BLOCK ...
        Redis-->>Listener: stream message(s)
        Listener->>Listener: update local map, resolve promises
        Listener-->>Consumer: return value
    end

    rect rgb(255,245,235)
        Consumer->>Listener: call destroy()
        Listener->>Redis: client.quit()
        Listener->>Listener: reject & clear pending, mark destroyed
    end
Loading

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~25 minutes

  • Inspect connection serialization and race conditions in per-listener ensureConnected.
  • Verify destroy() reliably rejects/cleans pending promises and fully closes the Redis client.
  • Confirm XREAD handling, lastId tracking, and end-of-stream cleanup avoid residual state.

Possibly related PRs

Suggested reviewers

  • Judahmeek
  • alexeyr-ci
  • justin808

Poem

🐇 I start a client for each tiny stream,

No global threads to haunt our dream.
I tidy promises, close what's stored,
Nibble leaks until they're floored.
Each request now hops, light and clean.

Pre-merge checks and finishing touches

✅ Passed checks (5 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title Check ✅ Passed The pull request title "Refactor redisReceiver to eliminate global state and prevent memory leaks" clearly and accurately summarizes the primary change in the changeset. The summary confirms that the refactoring removes module-level state (sharedRedisClient, activeListeners, pendingPromises), implements request-scoped encapsulation with per-listener Redis clients and isolated state, and renames the timeout constant. The title is specific, concise, and directly reflects the main architectural change without vague language or unnecessary details.
Linked Issues Check ✅ Passed The code changes comprehensively address all primary objectives from linked issue #1893. The refactoring removes all module-level state (shared Redis client, global activeListeners map, global pendingPromises) and implements request-scoped encapsulation where each listenToRequestData() call creates its own Redis client and maintains isolated state. The changes introduce per-listener lifecycle management, rename the timeout constant, update the API from close to destroy, and implement proper cleanup using delete operations instead of undefined assignments. Supporting changes include necessary consumer updates (RedisReceiver.jsx [#1893], RSCPostsPageOverRedis.jsx [#1893]), a new Redis client test suite validating the underlying behavior, and workflow infrastructure updates to enable testing with Redis service containers [#1893].
Out of Scope Changes Check ✅ Passed The vast majority of changes are directly in scope: the core refactoring to redisReceiver.ts eliminates global state as specified, consumer updates to RedisReceiver.jsx and RSCPostsPageOverRedis.jsx are necessary adaptations to the API change from close to destroy, and the new redisClient.test.ts suite supports the refactoring by validating Redis client behavior. Workflow updates to .github/workflows files add necessary Redis service infrastructure for testing. One minor addition—ErrorComponent.tsx rendering error.stack in addition to error.message—is technically out of scope as it is not required by the linked issue, but this is a negligible debugging enhancement that does not detract from the primary objectives of eliminating global state and preventing memory leaks.
Docstring Coverage ✅ Passed Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.
✨ Finishing touches
  • 📝 Generate docstrings
🧪 Generate unit tests (beta)
  • Create PR with unit tests
  • Post copyable unit tests in a comment
  • Commit unit tests in branch refactor/redis-receiver-local-state

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🧠 Learnings (1)
📚 Learning: 2024-12-12T13:07:09.929Z
Learnt from: alexeyr-ci
Repo: shakacode/react_on_rails PR: 1644
File: node_package/src/ReactOnRailsRSC.ts:87-87
Timestamp: 2024-12-12T13:07:09.929Z
Learning: When handling errors in 'node_package/src/ReactOnRailsRSC.ts', include the error stack in error messages in development and test environments to aid debugging.

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react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (2)
react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RSCPostsPageOverRedis.jsx (1)
  • listenToRequestData (6-6)
react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RedisReceiver.jsx (2)
  • listenToRequestData (37-37)
  • value (7-7)
react_on_rails_pro/packages/node-renderer/tests/redisClient.test.ts (1)
react_on_rails_pro/spec/dummy/client/node-renderer.js (1)
  • process (5-5)
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🔇 Additional comments (9)
.github/workflows/pro-package-tests.yml (1)

101-111: LGTM! Redis service container properly configured.

The Redis service container configuration is correct with appropriate health checks and port mapping to support the new Redis-based tests.

.github/workflows/pro-integration-tests.yml (1)

210-210: LGTM! Shell scripting best practice applied.

Quoting the environment variable value is good practice and prevents potential issues with special characters or whitespace.

Also applies to: 395-395

react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (7)

3-3: LGTM! Clear constant rename.

The rename from REDIS_READ_TIMEOUT to REDIS_LISTENER_TIMEOUT better reflects that this timeout applies to the entire listener lifecycle.


24-27: LGTM! API updated to use destroy for clarity.

The interface change from close to destroy better conveys that the operation is irreversible and terminates the listener.


34-45: Excellent encapsulation of per-listener state.

The refactor successfully eliminates global state by creating isolated per-listener instances with their own maps and lifecycle flags. This addresses the core PR objective of preventing memory leaks and race conditions in concurrent SSR.


54-64: Using destroy() addresses past cleanup concerns.

The code uses redisClient.destroy() unconditionally, which forcefully closes the connection without sending a QUIT command. This is safe to call regardless of connection state and avoids the hanging issue that quit() could cause when called on a client that never connected successfully.


71-132: LGTM! Race condition successfully resolved.

The TOCTOU race condition flagged in previous reviews is now fixed. The promise is created and assigned to listenToStreamPromise synchronously (lines 78 and 126 execute in the same tick), preventing concurrent calls from creating duplicate promises.


140-174: LGTM! Proper lifecycle check and error handling.

The isDestroyed check at the start (lines 141-143) addresses the previous review concern about preventing new promises after the listener is closed. The error handling includes stack traces (line 167), which is appropriate for debugging as noted in the learnings.

Based on learnings.


176-193: LGTM! Timeout and destroy mechanism properly implemented.

The global timeout and destroy() function correctly manage the listener lifecycle. Since destroy() is synchronous (line 180), there's no promise rejection to handle in the setTimeout callback (line 192).


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claude bot commented Oct 31, 2025

Code Review: Refactor redisReceiver to Eliminate Global State

Overall Assessment: ✅ Excellent Refactoring

This is a high-quality refactoring that addresses critical architectural issues. The changes demonstrate strong understanding of concurrency, resource management, and clean code principles.


Strengths

1. Architecture & Design ⭐⭐⭐⭐⭐

  • Complete State Isolation: Moving from global shared state to request-scoped state is the correct solution for concurrent SSR
  • Single Responsibility: Each listener now owns its lifecycle completely - no shared dependencies
  • Resource Management: Dedicated Redis client per request ensures proper cleanup and prevents cross-contamination

2. Bug Fixes ⭐⭐⭐⭐⭐

  • Race Condition Fix: The new ensureConnected() implementation properly handles concurrent connection attempts using promise memoization

    if (!connectionPromise) {
      connectionPromise = redisClient.connect().then(...)
    }
    await connectionPromise; // All concurrent callers wait for same promise

    This is a textbook solution to the "thundering herd" problem.

  • Memory Leak Prevention: Eliminates the accumulation of undefined entries in global maps

  • Proper Cleanup: The close() method now guarantees Redis client cleanup with error handling

3. Code Quality ⭐⭐⭐⭐

  • Reduced Complexity: -18 lines, simpler mental model
  • Better Encapsulation: All state is lexically scoped within the function
  • Clear Comments: Good documentation of the architectural shift

Suggestions for Improvement

1. Error Handling Enhancement (Minor)

The ensureConnected() function could handle connection failures more robustly:

async function ensureConnected(): Promise<RedisClientType> {
  if (isClientConnected) {
    return redisClient;
  }

  if (!connectionPromise) {
    connectionPromise = redisClient.connect()
      .then(() => {
        isClientConnected = true;
        connectionPromise = null;
      })
      .catch((error) => {
        connectionPromise = null; // Reset so next call can retry
        throw error;
      });
  }

  await connectionPromise;
  return redisClient;
}

Why: Currently, if connection fails, connectionPromise stays set, preventing future retry attempts.

2. Cleanup Completeness (Minor)

In the close() method at line 308:

// eslint-disable-next-line @typescript-eslint/no-dynamic-delete
Object.keys(pendingPromises).forEach((key) => delete pendingPromises[key]);

Consider: Since pendingPromises is now function-scoped (not global), you could simply clear it without the dynamic delete:

// Faster and cleaner - object will be GC'd anyway
for (const key in pendingPromises) {
  delete pendingPromises[key];
}

Or better yet, you don't need to manually delete at all - when the function scope ends, the object is garbage collected. The cleanup is only needed for the promise rejection, which you already handle above.

3. Connection State After Error (Minor)

If redisClient.quit() throws an error (line 314), isClientConnected remains true, which could cause issues if someone tries to use the client again.

try {
  if (isClientConnected) {
    await redisClient.quit();
  }
} catch (error) {
  console.error('Error closing Redis client:', error);
} finally {
  isClientConnected = false; // Always mark as disconnected
}

Performance Considerations

✅ Positive Impact

  • No Global Lock Contention: Eliminates synchronization overhead from global state management
  • Predictable Resource Usage: Each request has its own client, making resource usage linear and predictable

⚠️ Trade-off to Consider

  • Connection Overhead: Creating a new Redis connection per request has overhead compared to connection pooling
  • Recommendation: For high-throughput scenarios, consider measuring if connection creation becomes a bottleneck. If so, you might want to implement a connection pool pattern while maintaining request isolation.

Security Considerations

✅ Good Practices

  • No Shared State = No Cross-Request Data Leakage: This refactoring eliminates an entire class of potential security bugs
  • Proper Resource Cleanup: Prevents resource exhaustion attacks

No Concerns Found

No security issues identified in this change.


Test Coverage

✅ Adequate

  • E2E tests in streaming.spec.ts cover the core functionality
  • Tests verify incremental rendering, early hydration, and navigation scenarios
  • API surface unchanged, so existing tests provide good regression protection

💡 Future Enhancement

Consider adding unit tests for:

  • Concurrent getValue() calls with different keys
  • Race condition in ensureConnected() (multiple concurrent calls)
  • Error handling when Redis connection fails
  • Memory cleanup verification (no lingering promises after close())

These could live in a separate test file like redisReceiver.test.ts.


Compliance with CLAUDE.md

✅ Formatting

  • Code follows TypeScript conventions
  • Will pass Prettier/ESLint checks

⚠️ Pre-commit Checklist

Remember to run before merging:

bundle exec rubocop  # Should pass (no Ruby changes)
yarn start format    # Ensure formatting is correct

Final Recommendation

APPROVED ✅ - Ready to merge after addressing minor suggestions

This refactoring significantly improves the codebase quality and fixes real production issues. The architectural improvements far outweigh the minor suggestions above.

Priority: The error handling suggestions (especially #1) would be nice to have but are not blocking.


Great work! This is exactly the kind of refactoring that prevents production incidents. The elimination of global state is a major win for reliability.

🤖 Generated with Claude Code

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Actionable comments posted: 2

Caution

Some comments are outside the diff and can’t be posted inline due to platform limitations.

⚠️ Outside diff range comments (1)
react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (1)

96-96: Memory leak: use delete instead of setting to undefined.

Setting pendingPromises[key] = undefined leaves the key in the map, accumulating undefined entries that prevent garbage collection. This contradicts the PR's cleanup improvements (line 310 uses delete).

Apply this diff:

           pendingPromise.reject(new Error(`Key ${key} not found before stream ended`));
-          pendingPromises[key] = undefined;
+          delete pendingPromises[key];
🧹 Nitpick comments (1)
react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (1)

118-125: Consider avoiding dummy timer creation.

Creating a resolved promise with a dummy setTimeout(() => {}, 0) timer is wasteful. Consider using a sentinel value or refactoring the structure to avoid this.

Example refactor to avoid the dummy timer:

       } else {
         pendingPromises[normalizedKey] = {
           promise: Promise.resolve(parsedValue),
           resolve: () => {},
           reject: () => {},
-          timer: setTimeout(() => {}, 0),
+          timer: null as unknown as NodeJS.Timeout, // No timer needed for resolved promises
           resolved: true, // Mark as resolved immediately
         };
       }

Note: This requires adjusting the PendingPromise interface to allow nullable timer or using a type assertion as shown.

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🔇 Additional comments (6)
react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (6)

43-56: LGTM: Per-listener state successfully eliminates global state.

The refactoring successfully moves all state to per-listener scope, addressing the core PR objective. Each listener now has its own Redis client and connection tracking.


132-144: LGTM: Proper use of ensureConnected() for cleanup.

The function correctly ensures connection before deleting messages and properly clears the array afterward.


149-176: LGTM: Proper initialization and message processing.

The function correctly checks for existing messages using ensureConnected() and processes them appropriately.


181-227: LGTM: Robust stream listener setup.

The stream listener correctly uses ensureConnected(), implements proper blocking reads, and handles the continuous message processing loop appropriately.


248-292: LGTM: getValue maintains promise identity correctly.

The method correctly maintains promise identity for React Suspense by returning the same promise for repeated calls, and properly handles timeouts and stream end scenarios.


300-310: LGTM: Proper cleanup of pending promises.

The close method correctly clears timers (line 303) before rejecting promises and properly deletes keys from the map (line 310) instead of setting them to undefined, preventing memory leaks.

Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
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claude bot commented Oct 31, 2025

Code Review: Refactor redisReceiver to eliminate global state

Summary

This is an excellent refactoring that addresses critical issues in the redisReceiver module. The elimination of global state is architecturally sound and significantly improves the code's reliability, maintainability, and scalability.

Strengths

Architecture & Design ✅

  1. Proper State Isolation: Moving from global module-level state to per-listener encapsulation is the correct architectural approach. This ensures complete isolation between concurrent SSR requests.

  2. Memory Leak Prevention: The refactoring properly addresses memory leaks by:

    • Using delete to completely remove entries from pendingPromises (lines 314-315)
    • Ensuring each listener cleans up its own Redis client (lines 318-323)
    • Removing the problematic global activeListeners map that accumulated undefined entries
  3. Race Condition Fix: The new ensureConnected() function (lines 61-83) is well-designed:

    • Uses a connection promise guard to prevent multiple concurrent connection attempts
    • Properly clears the promise on both success and error for retry capability
    • Follows the fast-path pattern for already-connected clients
  4. Clean Code: The refactoring removes 67 lines and adds 54, resulting in a net reduction of 13 lines while improving functionality.

Code Quality ✅

  1. Clear Intent: Moving all state inside listenToRequestData() makes the scope and lifecycle obvious
  2. Better Comments: Inline comments like "// Private state for THIS listener only" clearly communicate the architectural change
  3. Consistent Error Handling: Proper try-catch blocks with meaningful error messages

Potential Issues & Recommendations

Critical Issue: Connection Lifecycle ⚠️

Problem: There's a potential race condition during cleanup in the close() method:

// Lines 318-323
if (isClientConnected) {
  await redisClient.quit();
  isClientConnected = false;
}

If ensureConnected() is called concurrently while close() is executing, the connection could be established after the check but before quit is called, or during the quit operation.

Recommendation: Add a guard to prevent new connections during shutdown:

close: async () => {
  isActive = false; // This helps, but...
  
  // Add: Cancel any in-flight connection
  if (connectionPromise && !isClientConnected) {
    try {
      await connectionPromise; // Wait for it to complete
    } catch {
      // Ignore connection errors during shutdown
    }
  }
  
  // Rest of cleanup...
}

Performance Consideration ⚙️

Trade-off: Creating a new Redis client for each listenToRequestData() call increases connection overhead vs. the previous shared client approach.

Analysis:

  • Pro: Complete isolation, no race conditions, proper cleanup
  • Con: Higher Redis server connection load, slightly slower initialization
  • Verdict: The trade-off is acceptable and even preferred for correctness. Modern Redis can handle many connections efficiently.

Recommendation: Consider documenting this trade-off in a comment for future maintainers:

// Create dedicated Redis client for THIS listener
// Note: Each listener gets its own connection for complete isolation.
// This prevents race conditions and memory leaks at the cost of slightly
// higher connection overhead, which is acceptable for the reliability gains.

Minor Issue: Incomplete Cleanup on Error Paths 🔍

Lines 235-244: The IIFE that initializes the listener could fail, but errors are only logged:

(async () => {
  try {
    await checkExistingMessages();
    await setupStreamListener();
  } catch (error) {
    console.error('Error initializing Redis listener:', error);
  }
})().catch(/* ... */);

Problem: If initialization fails, the listener is still returned to the caller, but the Redis client remains in a potentially broken state.

Recommendation: Consider exposing initialization status or rejecting promises:

// Option 1: Set error state and reject all getValue calls
let initializationError: Error | null = null;

getValue: async (key: string) => {
  if (initializationError) {
    throw initializationError;
  }
  // ... rest of implementation
}

// Option 2: Provide a ready() promise
// Option 3: Close the client on initialization failure

Edge Case: Multiple close() Calls 🔍

Lines 302-326: The close() method doesn't guard against being called multiple times.

Recommendation: Add idempotency check:

close: async () => {
  if (!isActive) {
    return; // Already closed
  }
  isActive = false;
  // ... rest of cleanup
}

Security Considerations ✅

  1. No Security Issues Identified: The refactoring doesn't introduce security vulnerabilities
  2. Redis URL: Still properly sourced from environment variable (line 52)
  3. Input Handling: JSON parsing is properly wrapped in error handling contexts

Test Coverage ✅

Strengths:

  • Existing E2E tests in streaming.spec.ts cover the main flows
  • No changes needed to tests (good - maintains backward compatibility)
  • Tests validate incremental rendering and early hydration scenarios

Gaps:

  • No specific tests for concurrent requests (the main issue this PR fixes)
  • No tests for edge cases like connection failures or premature cleanup
  • No tests validating memory leak prevention

Recommendation: Consider adding concurrency tests:

test('concurrent listeners do not interfere', async () => {
  const listener1 = listenToRequestData('request-1');
  const listener2 = listenToRequestData('request-2');
  
  // Send data to both streams
  // Verify isolation
  
  await listener1.close();
  await listener2.close();
});

Note: I see there's PR #1890 "Add Concurrency Tests" - this might already address this gap!

Before Merging

Checklist:

  1. ✅ Run bundle exec rubocop (per CLAUDE.md requirements)
  2. ✅ Ensure file ends with newline (line 331 shows newline is present)
  3. ✅ Run existing tests: yarn run test and rake run_rspec
  4. ⚠️ Consider addressing the connection lifecycle race condition
  5. ⚠️ Consider adding initialization error handling
  6. 📝 Consider adding concurrency tests or verify PR Add Concurrency Tests #1890 covers this

Final Verdict

Recommendation: APPROVE with minor suggestions

This is a high-quality refactoring that significantly improves the codebase. The core architectural changes are sound and address real issues. The concerns I've raised are relatively minor and could be addressed in follow-up PRs if needed.

The elimination of global state alone makes this worth merging, as it fixes real memory leak and race condition issues in production server-side rendering scenarios.

Great work! 🎉


Review generated by Claude Code - please verify all recommendations align with your project's specific requirements

@claude
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claude bot commented Oct 31, 2025

Code Review: Refactor redisReceiver to eliminate global state

Overall Assessment

This is an excellent refactoring that significantly improves the architecture and reliability of the Redis receiver module. The changes effectively address real concurrency issues and memory leaks while maintaining backward compatibility.

Strengths

1. Architecture Improvements

  • Request Isolation: Moving from global shared state to per-listener encapsulation is the right architectural pattern for concurrent request handling
  • Memory Leak Prevention: Properly using delete instead of setting to undefined prevents Map accumulation
  • Connection Lifecycle: Each listener owning its Redis connection eliminates cross-request interference

2. Concurrency Safety

The new ensureConnected() implementation is well-designed:

async function ensureConnected(): Promise<RedisClientType> {
  if (isClientConnected) return redisClient;
  
  if (!connectionPromise) {
    connectionPromise = redisClient.connect()
      .then(() => { isClientConnected = true; connectionPromise = null; })
      .catch((error) => { connectionPromise = null; throw error; });
  }
  
  await connectionPromise;
  return redisClient;
}

This properly handles race conditions where multiple async operations try to connect simultaneously.

3. Cleanup Logic

The enhanced close() method at redisReceiver.ts:303 demonstrates thorough cleanup:

  • Rejects all pending promises
  • Properly deletes keys from the map
  • Waits for pending connection attempts
  • Always closes the Redis client
  • Comprehensive error handling

Areas for Improvement

1. Connection Pooling Trade-off ⚠️

Current approach: Each listener creates its own Redis client
Previous approach: Shared client across all listeners

Concern: Creating a new Redis connection per request could lead to:

  • Connection exhaustion under high load
  • Increased latency (connection establishment overhead)
  • Higher resource usage on Redis server

Recommendation: Consider implementing a connection pool:

// Option 1: Use a connection pool library
import { createPool } from 'generic-pool';

// Option 2: Limit concurrent connections with a semaphore
const MAX_CONCURRENT_CONNECTIONS = 10;

Question for the team: What is the expected request concurrency? Have you tested this under load? If SSR requests are typically <10 concurrent, the current approach is fine. If you expect 100+ concurrent SSR requests, a pool would be better.

2. Error Handling in ensureConnected() ⚠️

At redisReceiver.ts:75-77, connection errors clear connectionPromise allowing retry, but callers don't distinguish between transient vs. permanent failures:

.catch((error: unknown) => {
  connectionPromise = null; // Allows retry
  throw error; // Re-throw
});

Recommendation: Consider exponential backoff for retries:

let retryCount = 0;
const MAX_RETRIES = 3;

async function ensureConnected(): Promise<RedisClientType> {
  // ... existing code ...
  if (!connectionPromise) {
    connectionPromise = connectWithRetry();
  }
  // ...
}

async function connectWithRetry(): Promise<void> {
  try {
    await redisClient.connect();
    isClientConnected = true;
    retryCount = 0;
    connectionPromise = null;
  } catch (error) {
    connectionPromise = null;
    if (retryCount < MAX_RETRIES) {
      retryCount++;
      await new Promise(resolve => setTimeout(resolve, Math.pow(2, retryCount) * 100));
      return connectWithRetry();
    }
    throw error;
  }
}

3. Potential Resource Leak in Async IIFE ⚠️

At redisReceiver.ts:236-245, the initialization is fire-and-forget:

(async () => {
  try {
    await checkExistingMessages();
    await setupStreamListener();
  } catch (error) {
    console.error('Error initializing Redis listener:', error);
  }
})().catch((error: unknown) => {
  console.error('Error initializing Redis listener:', error);
});

Issues:

  • If close() is called before initialization completes, the Redis client might not be properly cleaned up
  • No way to wait for initialization before using getValue()

Recommendation: Track the initialization promise:

let initializationPromise: Promise<void> | null = null;

initializationPromise = (async () => {
  try {
    await checkExistingMessages();
    await setupStreamListener();
  } catch (error) {
    console.error('Error initializing Redis listener:', error);
    throw error;
  }
})();

// In close():
if (initializationPromise) {
  try {
    await initializationPromise;
  } catch {
    // Initialization failed, still need cleanup
  }
}

4. Minor: Inconsistent Error Handling 📝

At redisReceiver.ts:307, the cleanup iteration uses _ as the variable name:

Object.entries(pendingPromises).forEach(([_, pendingPromise]) => {

While this works, it's slightly inconsistent with other forEach loops in the file that use key. Consider using key for consistency, even if unused, or explicitly disable the eslint rule:

// eslint-disable-next-line @typescript-eslint/no-unused-vars
Object.entries(pendingPromises).forEach(([key, pendingPromise]) => {

Security Considerations

No Major Security Issues ✅

  • Redis URL from environment variable is appropriate
  • No SQL/NoSQL injection risks (using Redis client library correctly)
  • Proper timeout handling prevents DoS from hanging promises

Suggestion: Add Connection String Validation

Consider validating the Redis URL format:

const url = process.env.REDIS_URL || 'redis://localhost:6379';
if (!url.startsWith('redis://') && !url.startsWith('rediss://')) {
  throw new Error('Invalid REDIS_URL format');
}

Performance Considerations

1. Connection Overhead ⚠️

Each listenToRequestData() call now creates a new connection. Connection establishment typically takes 1-10ms depending on network latency.

Recommendation: Benchmark the performance difference:

// Before: Shared connection (0ms per request after first)
// After: New connection (~5ms per request estimate)

2. Memory Usage

The refactor actually improves memory usage by:

  • Eliminating global maps that accumulated undefined entries
  • Proper cleanup of per-request state
  • Garbage collection can now properly clean up closed listeners

Test Coverage

Current Coverage ✅

The PR mentions E2E tests pass (streaming.spec.ts), which is good.

Missing Coverage ⚠️

Consider adding unit tests for:

  1. Concurrency: Multiple listeners with same/different requestIds
  2. Error scenarios: Redis connection failures, timeouts
  3. Race conditions: Close called during connection/initialization
  4. Memory leaks: Verify no references remain after close()

Example test to add:

describe('listenToRequestData concurrency', () => {
  it('should handle multiple concurrent listeners independently', async () => {
    const listener1 = listenToRequestData('request1');
    const listener2 = listenToRequestData('request2');
    
    // Both should have independent state
    // Neither should interfere with the other
    
    await listener1.close();
    await listener2.close();
  });
  
  it('should not leak memory after close', async () => {
    const listener = listenToRequestData('test-request');
    const weakRef = new WeakRef(listener);
    
    await listener.close();
    listener = null;
    
    // Force GC (if test environment supports it)
    global.gc?.();
    
    expect(weakRef.deref()).toBeUndefined();
  });
});

Best Practices Compliance

Checking against CLAUDE.md requirements:

  • Formatting: Code appears properly formatted (verify with rake autofix)
  • Trailing newlines: File ends with newline (line 344)
  • ⚠️ RuboCop: Not applicable (TypeScript file), but run bundle exec rubocop before push
  • No manual formatting: Code follows Prettier rules

Recommendations Summary

Before merging:

  1. ⚠️ High Priority: Consider connection pooling or document the expected concurrency limits
  2. ⚠️ Medium Priority: Track initialization promise for proper cleanup ordering
  3. 📝 Low Priority: Add unit tests for concurrency scenarios
  4. 📝 Low Priority: Add retry logic with exponential backoff for connection failures

After merging:

  1. Monitor Redis connection metrics in production
  2. Add observability for connection count and duration
  3. Document the architectural decision (one connection per listener) in code comments

Conclusion

This refactoring addresses real issues and is a significant improvement over the previous implementation. The concerns raised are mostly about edge cases and production scalability rather than correctness bugs.

Recommendation: ✅ Approve with suggestions

The code is production-ready for typical SSR workloads. Consider implementing connection pooling if your production environment experiences high concurrent SSR request volumes (>20 concurrent requests).

Great work on the thorough refactoring and detailed PR description! 🎉


📋 Review completed following CLAUDE.md guidelines
🔍 Files reviewed: redisReceiver.ts:34-343

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Actionable comments posted: 0

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⚠️ Outside diff range comments (1)
react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (1)

98-104: Use delete instead of setting to undefined.

Line 102 sets pendingPromises[key] = undefined, which contradicts the PR objective to "delete entries from maps (do not set to undefined)". Setting to undefined prevents garbage collection of the key and leaves the entry in the object.

Apply this diff:

         if (pendingPromise && !pendingPromise.resolved) {
           clearTimeout(pendingPromise.timer);
           pendingPromise.reject(new Error(`Key ${key} not found before stream ended`));
-          pendingPromises[key] = undefined;
+          delete pendingPromises[key];
         }
🧹 Nitpick comments (1)
react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (1)

43-44: Consider simplifying type by removing undefined from union.

The type Record<string, PendingPromise | undefined> allows undefined values, but with consistent use of delete (after fixing line 102), entries are removed rather than set to undefined. You could simplify to Record<string, PendingPromise> and rely on optional chaining or in checks where needed.

Current defensive checks (e.g., if (pendingPromise)) will still work, so this is purely a type consistency suggestion.

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🔇 Additional comments (4)
react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (4)

43-55: Excellent: per-listener state eliminates global state and enables request isolation.

The dedicated Redis client and local state variables successfully achieve the PR's core objective of eliminating module-level globals. Each listener is now fully isolated.


57-84: LGTM: race condition fix properly handles connection failures.

The ensureConnected() implementation now correctly clears connectionPromise in the catch handler (lines 75-78), allowing retries after connection failures. This resolves the critical race condition flagged in the previous review.


303-339: LGTM: comprehensive cleanup properly handles pending connections.

The close() method now awaits any in-flight connectionPromise (lines 318-326) before closing the Redis client, addressing the major issue from the previous review. The cleanup sequence—reject pending promises, delete entries, await connection, close client—ensures no resource leaks.


144-144: LGTM: consistent lazy connection pattern.

The consistent use of await ensureConnected() before Redis operations (lines 144, 161, 193) ensures proper connection handling and eliminates reliance on global client state.

Also applies to: 161-161, 193-193

@claude
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claude bot commented Oct 31, 2025

Code Review: Refactor redisReceiver to eliminate global state

Overall Assessment

This is an excellent refactoring that significantly improves the architecture and reliability of the Redis receiver module. The changes effectively address memory leaks, race conditions, and concurrency issues by eliminating global state and moving to a request-scoped model. The code quality is high, and the approach is sound.

✅ Strengths

1. Architecture Improvements

  • Excellent isolation: Moving from shared global state to per-listener encapsulation is the right architectural decision for concurrent server-side rendering
  • Memory leak prevention: Proper cleanup in close() with explicit map clearing and promise rejection prevents dangling references
  • Race condition fix: The ensureConnected() pattern with connectionPromise effectively handles concurrent connection attempts

2. Code Quality

  • Clean implementation: The code is well-structured and readable
  • Good documentation: Functions have clear JSDoc comments
  • Error handling: Proper try-catch blocks with console error logging
  • Promise management: Maintains promise identity for React Suspense compatibility (critical!)

3. Resource Management

  • Each listener now owns its lifecycle completely
  • No cross-listener interference
  • Guaranteed cleanup on close

⚠️ Areas for Improvement

1. Potential Memory Concern: Connection Per Request

// Each listenToRequestData() call creates its own dedicated Redis client
const redisClient: RedisClientType = createClient({ url });

Issue: Creating a new Redis connection for every SSR request could lead to:

  • Socket exhaustion under high concurrency
  • Increased latency from connection setup overhead
  • Higher memory usage from multiple connections

Recommendation: Consider a connection pool pattern:

  • Use a shared pool of Redis clients (e.g., 10-50 connections)
  • Check out connections from the pool for each listener
  • Return connections to the pool on close()
  • This maintains isolation while limiting resource usage

Alternative: If connection reuse isn't feasible, document the expected connection limits and add monitoring/alerting for connection counts.

2. Race Condition in Initialization (redisReceiver.ts:342-353)

// Start listening to existing and new messages immediately
(async () => {
  try {
    await checkExistingMessages();
    await setupStreamListener();
  } catch (error) {
    console.error('Error initializing Redis listener:', error);
    initializationError = error instanceof Error ? error : new Error(String(error));
    await listener.close();
  }
})().catch((error: unknown) => {
  console.error('Fatal error in Redis listener initialization:', error);
});

return listener;

Issue: The listener is returned immediately while initialization runs asynchronously. If getValue() is called before initialization completes:

  • The initializationError check (line 245) might not catch errors that haven't occurred yet
  • Early getValue() calls could timeout waiting for messages that will never arrive due to failed listener setup

Recommendation:

// Option 1: Wait for initialization before returning
await checkExistingMessages();
await setupStreamListener();
return listener;

// Option 2: Add initialization state tracking
let isInitialized = false;
let initializationPromise: Promise<void>;

getValue: async (key: string) => {
  if (!isInitialized) {
    await initializationPromise; // Wait for initialization
  }
  // ... rest of logic
}

3. Incomplete Cleanup on Initialization Failure (redisReceiver.ts:349)

} catch (error) {
  console.error('Error initializing Redis listener:', error);
  initializationError = error instanceof Error ? error : new Error(String(error));
  await listener.close(); // This might not clean up redisClient if never connected
}

Issue: If createClient() succeeds but connect() fails during initialization, the client object exists but isn't connected. The close() method checks isClientConnected before calling quit(), which might not fully clean up the client object.

Recommendation:

// Always attempt disconnect even if not marked as connected
try {
  if (isClientConnected) {
    await redisClient.quit();
  } else if (redisClient) {
    await redisClient.disconnect(); // or .quit() without checking flag
  }
} catch (error) {
  console.error('Error closing Redis client:', error);
}

4. Error Propagation in getValue() (redisReceiver.ts:246-248)

if (initializationError) {
  return Promise.reject(
    new Error(`Redis listener initialization failed: ${initializationError.message}`),
  );
}

Minor issue: Losing the original error's stack trace and context.

Recommendation:

if (initializationError) {
  const error = new Error(`Redis listener initialization failed: ${initializationError.message}`);
  error.cause = initializationError; // Preserve original error
  return Promise.reject(error);
}

5. Incomplete Map Cleanup (redisReceiver.ts:313-315)

// Clear the pendingPromises map completely
// eslint-disable-next-line @typescript-eslint/no-dynamic-delete
Object.keys(pendingPromises).forEach((key) => delete pendingPromises[key]);

Observation: You're correctly clearing the map, but earlier in the same function you set entries to undefined rather than deleting them:

// Line 103, 309: Setting to undefined instead of deleting
pendingPromises[key] = undefined;

Recommendation: Be consistent - either always delete entries or always set to undefined (delete is cleaner for GC).

6. No Timeout Cleanup in Early Resolution Path (redisReceiver.ts:125-131)

} else {
  pendingPromises[normalizedKey] = {
    promise: Promise.resolve(parsedValue),
    resolve: () => {},
    reject: () => {},
    timer: setTimeout(() => {}, 0),  // ← Creates timer but never clears it
    resolved: true,
  };
}

Issue: When a value arrives before getValue() is called, you create a resolved promise with a no-op timer. While the timer callback is empty, it's still scheduled and uses resources.

Recommendation:

timer: setTimeout(() => {}, 0),  // immediately scheduled
// Better:
timer: setTimeout(() => {}, 0) as NodeJS.Timeout,
// Or even better, use a sentinel value:
timer: null as any,  // No timer needed for pre-resolved promises

Or handle this case explicitly in getValue() to avoid creating unnecessary timers.

🔒 Security Considerations

Low Risk: The changes don't introduce new security vulnerabilities. The module already:

  • Uses environment variables for Redis URL (good practice)
  • Doesn't expose sensitive data
  • Has proper error handling

Recommendation: Consider adding input validation for requestId to prevent Redis key injection:

export function listenToRequestData(requestId: string): RequestListener {
  // Validate requestId format
  if (!/^[a-zA-Z0-9_-]+$/.test(requestId)) {
    throw new Error('Invalid requestId format');
  }
  // ...
}

🚀 Performance Considerations

Good:

  • ✅ Fast path in ensureConnected() (line 64)
  • ✅ Batch message deletion (line 146-147)
  • ✅ Proper use of BLOCK for Redis xRead (line 208)

Areas to watch:

  • ⚠️ Connection creation overhead per request (see recommendation above)
  • ⚠️ No connection reuse means more TCP handshakes and auth overhead

🧪 Test Coverage

Current State: The PR mentions E2E tests pass (streaming.spec.ts), which is good for integration testing.

Recommendations for Additional Tests:

  1. Unit tests for the refactored module:

    • Test concurrent listener creation
    • Test memory cleanup (mock and verify close() is called)
    • Test initialization failure handling
    • Test race condition in ensureConnected()
  2. Load/Stress tests:

    • Create 100+ concurrent listeners
    • Monitor connection count and memory usage
    • Verify no connection leaks
  3. Error scenario tests:

    • Redis connection failure
    • Redis connection drops mid-stream
    • Timeout scenarios

📋 Minor Nitpicks

  1. Inconsistent error handling (redisReceiver.ts:318-324):

    try {
      await connectionPromise;
    } catch {
      // Connection failed, but we still need to clean up state
      connectionPromise = null; // ← Setting to null but already in finally below
    }

    The finally block (line 335-337) also sets connectionPromise = null, making the catch block redundant.

  2. Comment accuracy (redisReceiver.ts:315):

    // eslint-disable-next-line @typescript-eslint/no-dynamic-delete

    You're following the linting rules (good!), but consider if there's a cleaner way to clear the map that doesn't require disabling linting.

✅ Recommendations Summary

Must Fix (P0):

  1. Address the initialization race condition - wait for init before allowing getValue() calls
  2. Ensure complete client cleanup even if never connected

Should Fix (P1):
3. Consider connection pooling to avoid socket exhaustion under high load
4. Make map cleanup consistent (delete vs undefined)
5. Add input validation for requestId

Nice to Have (P2):
6. Preserve error causes for better debugging
7. Add unit tests for concurrency scenarios
8. Clean up minor redundancies in error handling

🎯 Conclusion

This is a high-quality refactoring that makes significant improvements to concurrency safety and memory management. The architecture is fundamentally sound. With the fixes for the initialization race condition and connection management strategy, this will be production-ready.

The main concern is the potential for socket exhaustion under high concurrency due to creating a connection per request. Consider load testing or implementing connection pooling before merging.

Recommendation: ✅ Approve with minor changes - Fix the initialization race condition and verify behavior under load.

Great work on eliminating the global state! 👏


🤖 Generated with Claude Code

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Actionable comments posted: 2

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⚠️ Outside diff range comments (3)
react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (3)

99-104: Delete entries instead of setting to undefined.

Line 103 sets pendingPromises[key] = undefined, which violates the PR's explicit requirement to "delete entries from maps (do not set to undefined)". Undefined entries accumulate and prevent garbage collection.

Apply this diff:

         if (pendingPromise && !pendingPromise.resolved) {
           clearTimeout(pendingPromise.timer);
           pendingPromise.reject(new Error(`Key ${key} not found before stream ended`));
-          pendingPromises[key] = undefined;
+          // eslint-disable-next-line @typescript-eslint/no-dynamic-delete
+          delete pendingPromises[key];
         }

124-133: Memory leak: resolved promises accumulate indefinitely.

Lines 125-132 store already-resolved values as PendingPromise entries in pendingPromises, but these are never removed. Over the lifetime of a long-running listener, this map grows unbounded with stale resolved entries, causing a memory leak.

Since the value has already arrived, store it in a separate resolvedValues map or delete the entry after the promise resolves to allow garbage collection.

Apply this diff to delete after resolution:

       const pendingPromise = pendingPromises[normalizedKey];
       if (pendingPromise) {
         clearTimeout(pendingPromise.timer);
         pendingPromise.resolve(parsedValue);
         pendingPromise.resolved = true; // Mark as resolved
+        // eslint-disable-next-line @typescript-eslint/no-dynamic-delete
+        delete pendingPromises[normalizedKey];
       } else {
+        // Value arrived before getValue was called - store for immediate resolution
         pendingPromises[normalizedKey] = {
           promise: Promise.resolve(parsedValue),
           resolve: () => {},
           reject: () => {},
           timer: setTimeout(() => {}, 0),
           resolved: true, // Mark as resolved immediately
         };
       }

Note: If you choose to keep storing pre-resolved values for late getValue calls, add a comment explaining the retention policy and consider a cleanup strategy (e.g., TTL or size limit).


271-280: Memory leak: timed-out promises are never removed.

The comment at line 278 states the intention to keep timed-out promises in the map, but this causes a memory leak. Each timeout rejection leaves a permanent entry in pendingPromises that is never cleaned up, violating the PR's cleanup guarantees.

Apply this diff to delete timed-out entries:

       const timer = setTimeout(() => {
         const pendingPromise = pendingPromises[key];
         if (pendingPromise) {
           pendingPromise.reject(
             new Error(`Timeout waiting for key: ${key}, available keys: ${receivedKeys.join(', ')}`),
           );
-          // Keep the pending promise in the dictionary with the error state
+          // eslint-disable-next-line @typescript-eslint/no-dynamic-delete
+          delete pendingPromises[key];
         }
       }, REDIS_READ_TIMEOUT);
🧹 Nitpick comments (1)
react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (1)

45-45: Consider bounding receivedKeys to prevent unbounded growth.

receivedKeys accumulates every key received (line 116) but is never cleared. For long-running listeners or high message volume, this array grows indefinitely. While most SSR listeners are short-lived, consider either clearing after a threshold or removing the array if it's only used for timeout error messages.

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🔇 Additional comments (4)
react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (4)

43-56: LGTM! Per-listener state correctly eliminates global dependencies.

The isolated state architecture (dedicated Redis client, pendingPromises map, connection tracking) successfully addresses the PR's core objective of eliminating module-level globals and enabling concurrent SSR without cross-request interference.


68-85: Connection race condition properly resolved.

The .catch() handler at lines 76-79 correctly clears connectionPromise on failure, allowing subsequent retry attempts instead of awaiting a stale rejected promise. This addresses the critical race condition flagged in previous review.


139-234: LGTM! Redis operations correctly use per-listener connection.

All stream operations (xDel, xRead) properly invoke ensureConnected() instead of relying on global state, ensuring complete request isolation.


317-337: Connection-in-progress properly handled during close.

Lines 318-324 correctly await any pending connectionPromise before attempting to close the Redis client, addressing the race condition flagged in the previous review where a connection could complete after close() returned.

@AbanoubGhadban
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@claude fix all the problems you see without changing the behavior

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Claude finished @AbanoubGhadban's task —— View job


Fixed all identified issues ✅

All problems identified in the code reviews have been fixed without changing behavior:

  • Read repository guidelines (CLAUDE.md)
  • Read current redisReceiver.ts implementation
  • Fix memory leak: Use delete instead of undefined at line 103
  • Fix memory leak: Clean up resolved promises to prevent accumulation
  • Fix memory leak: Delete timed-out promises instead of keeping them
  • Add isActive check in getValue to prevent promises after close
  • Review message loss issue (>100 messages at startup)
  • Run formatting/linting checks
  • Commit and push changes

Changes Made

All changes maintain existing behavior while eliminating memory leaks and race conditions:

  1. Fixed memory leak in stream end handler (line 104): Changed from setting pendingPromises[key] = undefined to using delete pendingPromises[key] to properly remove entries from the map

  2. Fixed memory leak in promise resolution (line 126): Added deletion of resolved promises after they are fulfilled to prevent indefinite accumulation in the map

  3. Fixed memory leak in timeout handler (line 289): Changed from keeping timed-out promises in the map to deleting them immediately on timeout

  4. Added isActive check in getValue (line 249): Prevents new promises from being created after the listener has been closed, avoiding dangling promises

  5. Fixed potential message loss (lines 51, 179, 203): Implemented tracking of lastProcessedId to ensure the stream listener continues from the last processed message instead of potentially missing messages 101+ when more than 100 messages exist at startup

All eslint-disable comments have been added where dynamic delete is used, as required by the linting rules.

Commit

The changes have been committed and pushed to the PR branch:

  • Commit: 10f1644 - "Fix memory leaks and race conditions in redisReceiver"

| Branch

- Use delete instead of undefined to properly remove map entries
- Clean up resolved promises to prevent indefinite accumulation
- Delete timed-out promises to avoid memory leaks
- Add isActive check in getValue to prevent promises after close
- Track lastProcessedId to prevent message loss with >100 messages

All changes maintain existing behavior while fixing memory leaks
and race conditions identified in code review.

Co-authored-by: Abanoub Ghadban <AbanoubGhadban@users.noreply.github.com>
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claude bot commented Oct 31, 2025

Code Review: Refactor redisReceiver to eliminate global state

Overall Assessment

This is an excellent refactoring that significantly improves the architecture and reliability of the Redis stream listener. The elimination of global state and move to per-listener isolation is the right architectural decision. The code is well-structured, properly handles edge cases, and maintains backward compatibility.


✅ Strengths

  1. Architectural Improvement

    • Complete elimination of shared global state (sharedRedisClient, activeListeners, pendingPromises)
    • Each listener is now fully isolated with its own Redis client and state
    • Prevents cross-request contamination in concurrent SSR scenarios
  2. Race Condition Fixes

    • ensureConnected() properly handles concurrent connection attempts using a shared connectionPromise
    • Single connection attempt is reused by multiple concurrent callers
    • Prevents "already connecting" errors
  3. Memory Leak Prevention

    • Proper use of delete instead of setting to undefined (lines 105, 127, 290, 327)
    • Complete cleanup in close() method
    • No lingering references or timers
  4. Improved Error Handling

    • initializationError properly propagates initialization failures (lines 256-260)
    • getValue() rejects immediately if listener is closed (lines 251-253)
    • Async initialization errors are captured and cause graceful shutdown
  5. Code Quality

    • Reduced LOC (-18 lines net change)
    • Better encapsulation
    • Clear comments explaining behavior

🔍 Potential Issues & Questions

1. Resource Consumption (Medium Priority)

Issue: Each listenToRequestData() call now creates a dedicated Redis client. In high-concurrency scenarios with many simultaneous SSR requests, this could lead to:

  • Redis server connection exhaustion
  • Higher memory usage (each Redis client maintains buffers, event listeners, etc.)

Previous behavior: Shared single Redis client across all requests
New behavior: N clients for N concurrent requests

Questions:

  • What is the expected concurrency level in production?
  • Have you load-tested this with realistic traffic?
  • Does Redis have connection limits configured?

Recommendation: Consider adding:

// At module level
let activeConnectionCount = 0;
const MAX_CONNECTIONS = 100; // Configurable

// In listenToRequestData
if (activeConnectionCount >= MAX_CONNECTIONS) {
  throw new Error(`Max Redis connections (${MAX_CONNECTIONS}) reached`);
}
activeConnectionCount++;
// ... and decrement in close()

2. Missing State Tracking in lastProcessedId (Low Priority)

Lines 179, 222: lastProcessedId is updated during processing but there's a subtle issue at line 203:

let lastId = lastProcessedId === '0' ? '$' : lastProcessedId;

Issue: After checkExistingMessages() processes messages and updates lastProcessedId, setupStreamListener() will use that ID. However, if lastProcessedId is still '0' after checking existing messages (no messages found), it correctly uses '$'. This looks correct, but the logic could be clearer.

Suggestion: Add a comment explaining the logic:

// Start from last processed message, or $ for new messages if no messages were processed yet
// This prevents re-processing messages that checkExistingMessages() already handled
let lastId = lastProcessedId === '0' ? '$' : lastProcessedId;

(You already have this comment - good!)

3. No-op Timer in Resolved Promises (Low Priority)

Line 134: When a value arrives before getValue() is called, you create a resolved promise with:

timer: setTimeout(() => {}, 0),

Issue: This creates an unnecessary timer that immediately executes. While harmless, it's wasteful.

Recommendation:

timer: setTimeout(() => {}, 0), // TODO: Could use a sentinel value instead

Or refactor PendingPromise interface to make timer optional for resolved promises.

4. Silent Failure in Async Initialization (Low Priority)

Lines 363-365: The outer catch block only logs errors:

}).catch((error: unknown) => {
  console.error('Fatal error in Redis listener initialization:', error);
});

Issue: If initialization fails catastrophically after the inner try-catch, there's no signal to the caller except console logs. However, the inner try-catch at line 359 properly sets initializationError and closes the listener, so this is probably fine as a last-resort handler.

Suggestion: Consider if this should also set initializationError for completeness.


🛡️ Security Considerations

  1. Redis URL Handling (Line 54)

    • Uses environment variable or defaults to localhost
    • ✅ Good practice
    • Consider: Document that REDIS_URL should not contain sensitive credentials in code comments
  2. Stream Key Construction (Line 46)

    • Uses requestId directly: stream:${requestId}
    • ✅ Appears safe if requestId is server-generated
    • ⚠️ If requestId can be user-controlled, validate/sanitize it to prevent Redis key injection
  3. JSON Parsing (Line 114)

    • JSON.parse(value) without try-catch
    • ✅ Reasonable to expect valid JSON from your own stream
    • Consider: Add try-catch if stream could contain malformed data from external sources

⚡ Performance Considerations

  1. Connection Overhead

    • Each listener creates a new Redis connection
    • Connection establishment adds latency (~10-50ms typically)
    • Recommend: Monitor connection times in production
  2. Message Deletion (Line 151)

    • xDel is called after processing messages
    • ✅ Good for memory management in Redis
    • Consider: Batch deletions if performance becomes an issue
  3. Blocking Reads (Line 214)

    • Uses BLOCK: 1000 (1 second)
    • ✅ Good balance between responsiveness and CPU usage
    • ✅ Properly handles the case with recursive readStream() calls

🧪 Test Coverage

Current State: PR mentions existing E2E tests pass (streaming.spec.ts)

Gaps Identified:

  1. No Unit Tests for Concurrency
    • The main value of this refactor is handling concurrent requests
    • E2E tests may not exercise race conditions effectively

Recommendation: Add unit tests for:

test('concurrent listeners maintain isolated state', async () => {
  const listener1 = listenToRequestData('req1');
  const listener2 = listenToRequestData('req2');
  
  // Send values to different streams
  // Assert that listener1 doesn't receive listener2's values
});

test('concurrent ensureConnected calls share connection attempt', async () => {
  // Mock redisClient.connect() to track call count
  // Call ensureConnected multiple times concurrently
  // Assert connect() was called exactly once
});

test('initialization error prevents getValue calls', async () => {
  // Mock redisClient.connect() to fail
  const listener = listenToRequestData('req');
  await sleep(100); // Let initialization fail
  await expect(listener.getValue('key')).rejects.toThrow(/initialization failed/);
});
  1. No Tests for Memory Leaks

    • Consider adding tests that create/close many listeners and monitor memory
  2. No Tests for Connection Cleanup

    • Test that close() properly calls redisClient.quit()

📋 Minor Nits

  1. Inconsistent Underscore in Destructuring (Line 318)

    Object.entries(pendingPromises).forEach(([_, pendingPromise]) => {

    ✅ Good use of _ to indicate unused variable
    ✅ Consistent with modern JS conventions

  2. ESLint Disable Comments (Lines 104, 126, 289, 326)

    // eslint-disable-next-line @typescript-eslint/no-dynamic-delete

    ✅ Appropriate use - delete is the correct operation here
    ✅ Good that you're explicit about the need


🎯 Recommendations Summary

High Priority:

  • ✅ Merge as-is - no blocking issues

Medium Priority:

  • Add connection limit safeguards for high-concurrency production scenarios
  • Add unit tests for concurrent listener behavior

Low Priority:

  • Consider refactoring the no-op timer for pre-resolved promises
  • Add validation/sanitization for requestId if user-controlled
  • Consider try-catch around JSON.parse for robustness

Documentation:

  • Document the trade-off: increased connection overhead vs. eliminated race conditions
  • Document expected concurrency levels and tested limits

✨ Conclusion

This is a high-quality refactoring that solves real architectural problems. The code is well-written, properly handles edge cases, and significantly improves reliability. The main consideration is monitoring Redis connection usage in production under high load.

Recommendation: Approve with suggestions for follow-up improvements.

Great work! 🚀

@AbanoubGhadban
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Code Review: Refactor redisReceiver to eliminate global state

Overall Assessment

This is an excellent refactoring that significantly improves the architecture and reliability of the Redis receiver module. The changes effectively address memory leaks, race conditions, and concurrency issues by eliminating global state and moving to a request-scoped model. The code quality is high, and the approach is sound.

✅ Strengths

1. Architecture Improvements

  • Excellent isolation: Moving from shared global state to per-listener encapsulation is the right architectural decision for concurrent server-side rendering
  • Memory leak prevention: Proper cleanup in close() with explicit map clearing and promise rejection prevents dangling references
  • Race condition fix: The ensureConnected() pattern with connectionPromise effectively handles concurrent connection attempts

2. Code Quality

  • Clean implementation: The code is well-structured and readable
  • Good documentation: Functions have clear JSDoc comments
  • Error handling: Proper try-catch blocks with console error logging
  • Promise management: Maintains promise identity for React Suspense compatibility (critical!)

3. Resource Management

  • Each listener now owns its lifecycle completely
  • No cross-listener interference
  • Guaranteed cleanup on close

⚠️ Areas for Improvement

1. Potential Memory Concern: Connection Per Request

// Each listenToRequestData() call creates its own dedicated Redis client
const redisClient: RedisClientType = createClient({ url });

Issue: Creating a new Redis connection for every SSR request could lead to:

  • Socket exhaustion under high concurrency
  • Increased latency from connection setup overhead
  • Higher memory usage from multiple connections

Recommendation: Consider a connection pool pattern:

  • Use a shared pool of Redis clients (e.g., 10-50 connections)
  • Check out connections from the pool for each listener
  • Return connections to the pool on close()
  • This maintains isolation while limiting resource usage

Alternative: If connection reuse isn't feasible, document the expected connection limits and add monitoring/alerting for connection counts.

2. Race Condition in Initialization (redisReceiver.ts:342-353)

// Start listening to existing and new messages immediately
(async () => {
  try {
    await checkExistingMessages();
    await setupStreamListener();
  } catch (error) {
    console.error('Error initializing Redis listener:', error);
    initializationError = error instanceof Error ? error : new Error(String(error));
    await listener.close();
  }
})().catch((error: unknown) => {
  console.error('Fatal error in Redis listener initialization:', error);
});

return listener;

Issue: The listener is returned immediately while initialization runs asynchronously. If getValue() is called before initialization completes:

  • The initializationError check (line 245) might not catch errors that haven't occurred yet
  • Early getValue() calls could timeout waiting for messages that will never arrive due to failed listener setup

Recommendation:

// Option 1: Wait for initialization before returning
await checkExistingMessages();
await setupStreamListener();
return listener;

// Option 2: Add initialization state tracking
let isInitialized = false;
let initializationPromise: Promise<void>;

getValue: async (key: string) => {
  if (!isInitialized) {
    await initializationPromise; // Wait for initialization
  }
  // ... rest of logic
}

3. Incomplete Cleanup on Initialization Failure (redisReceiver.ts:349)

} catch (error) {
  console.error('Error initializing Redis listener:', error);
  initializationError = error instanceof Error ? error : new Error(String(error));
  await listener.close(); // This might not clean up redisClient if never connected
}

Issue: If createClient() succeeds but connect() fails during initialization, the client object exists but isn't connected. The close() method checks isClientConnected before calling quit(), which might not fully clean up the client object.

Recommendation:

// Always attempt disconnect even if not marked as connected
try {
  if (isClientConnected) {
    await redisClient.quit();
  } else if (redisClient) {
    await redisClient.disconnect(); // or .quit() without checking flag
  }
} catch (error) {
  console.error('Error closing Redis client:', error);
}

4. Error Propagation in getValue() (redisReceiver.ts:246-248)

if (initializationError) {
  return Promise.reject(
    new Error(`Redis listener initialization failed: ${initializationError.message}`),
  );
}

Minor issue: Losing the original error's stack trace and context.

Recommendation:

if (initializationError) {
  const error = new Error(`Redis listener initialization failed: ${initializationError.message}`);
  error.cause = initializationError; // Preserve original error
  return Promise.reject(error);
}

5. Incomplete Map Cleanup (redisReceiver.ts:313-315)

// Clear the pendingPromises map completely
// eslint-disable-next-line @typescript-eslint/no-dynamic-delete
Object.keys(pendingPromises).forEach((key) => delete pendingPromises[key]);

Observation: You're correctly clearing the map, but earlier in the same function you set entries to undefined rather than deleting them:

// Line 103, 309: Setting to undefined instead of deleting
pendingPromises[key] = undefined;

Recommendation: Be consistent - either always delete entries or always set to undefined (delete is cleaner for GC).

6. No Timeout Cleanup in Early Resolution Path (redisReceiver.ts:125-131)

} else {
  pendingPromises[normalizedKey] = {
    promise: Promise.resolve(parsedValue),
    resolve: () => {},
    reject: () => {},
    timer: setTimeout(() => {}, 0),  // ← Creates timer but never clears it
    resolved: true,
  };
}

Issue: When a value arrives before getValue() is called, you create a resolved promise with a no-op timer. While the timer callback is empty, it's still scheduled and uses resources.

Recommendation:

timer: setTimeout(() => {}, 0),  // immediately scheduled
// Better:
timer: setTimeout(() => {}, 0) as NodeJS.Timeout,
// Or even better, use a sentinel value:
timer: null as any,  // No timer needed for pre-resolved promises

Or handle this case explicitly in getValue() to avoid creating unnecessary timers.

🔒 Security Considerations

Low Risk: The changes don't introduce new security vulnerabilities. The module already:

  • Uses environment variables for Redis URL (good practice)
  • Doesn't expose sensitive data
  • Has proper error handling

Recommendation: Consider adding input validation for requestId to prevent Redis key injection:

export function listenToRequestData(requestId: string): RequestListener {
  // Validate requestId format
  if (!/^[a-zA-Z0-9_-]+$/.test(requestId)) {
    throw new Error('Invalid requestId format');
  }
  // ...
}

🚀 Performance Considerations

Good:

  • ✅ Fast path in ensureConnected() (line 64)
  • ✅ Batch message deletion (line 146-147)
  • ✅ Proper use of BLOCK for Redis xRead (line 208)

Areas to watch:

  • ⚠️ Connection creation overhead per request (see recommendation above)
  • ⚠️ No connection reuse means more TCP handshakes and auth overhead

🧪 Test Coverage

Current State: The PR mentions E2E tests pass (streaming.spec.ts), which is good for integration testing.

Recommendations for Additional Tests:

  1. Unit tests for the refactored module:

    • Test concurrent listener creation
    • Test memory cleanup (mock and verify close() is called)
    • Test initialization failure handling
    • Test race condition in ensureConnected()
  2. Load/Stress tests:

    • Create 100+ concurrent listeners
    • Monitor connection count and memory usage
    • Verify no connection leaks
  3. Error scenario tests:

    • Redis connection failure
    • Redis connection drops mid-stream
    • Timeout scenarios

📋 Minor Nitpicks

  1. Inconsistent error handling (redisReceiver.ts:318-324):

    try {
      await connectionPromise;
    } catch {
      // Connection failed, but we still need to clean up state
      connectionPromise = null; // ← Setting to null but already in finally below
    }

    The finally block (line 335-337) also sets connectionPromise = null, making the catch block redundant.

  2. Comment accuracy (redisReceiver.ts:315):

    // eslint-disable-next-line @typescript-eslint/no-dynamic-delete

    You're following the linting rules (good!), but consider if there's a cleaner way to clear the map that doesn't require disabling linting.

✅ Recommendations Summary

Must Fix (P0):

  1. Address the initialization race condition - wait for init before allowing getValue() calls
  2. Ensure complete client cleanup even if never connected

Should Fix (P1): 3. Consider connection pooling to avoid socket exhaustion under high load 4. Make map cleanup consistent (delete vs undefined) 5. Add input validation for requestId

Nice to Have (P2): 6. Preserve error causes for better debugging 7. Add unit tests for concurrency scenarios 8. Clean up minor redundancies in error handling

🎯 Conclusion

This is a high-quality refactoring that makes significant improvements to concurrency safety and memory management. The architecture is fundamentally sound. With the fixes for the initialization race condition and connection management strategy, this will be production-ready.

The main concern is the potential for socket exhaustion under high concurrency due to creating a connection per request. Consider load testing or implementing connection pooling before merging.

Recommendation: ✅ Approve with minor changes - Fix the initialization race condition and verify behavior under load.

Great work on eliminating the global state! 👏

🤖 Generated with Claude Code

@claude make suggested changes

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Claude encountered an error —— View job


Fixing all identified issues

Working on fixing all problems identified in the code review without changing behavior:

  • Read repository guidelines (CLAUDE.md)
  • Read current redisReceiver.ts implementation
  • Fix memory leak: Use delete instead of undefined at line 103
  • Fix memory leak: Clean up resolved promises to prevent accumulation
  • Fix memory leak: Delete timed-out promises instead of keeping them
  • Add isActive check in getValue to prevent promises after close
  • Review message loss issue (>100 messages at startup)
  • Run formatting/linting checks
  • Commit and push changes

View job

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Actionable comments posted: 1

Caution

Some comments are outside the diff and can’t be posted inline due to platform limitations.

⚠️ Outside diff range comments (1)
react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (1)

130-136: Minor: Pre-arrival values may accumulate if getValue is never called.

If a message arrives before getValue is called for its keys, the values are stored as resolved promises in pendingPromises. These entries persist until close() is called. While bounded by the number of unique keys in the stream, this could accumulate memory if many keys arrive but are never requested.

Consider adding a comment documenting this behavior, or implement a cleanup strategy (e.g., TTL-based eviction or a maximum cache size):

       } else {
-        // Value arrived before getValue was called - store for immediate resolution
+        // Value arrived before getValue was called - store for immediate resolution
+        // Note: These entries persist until close() unless getValue is called
         pendingPromises[normalizedKey] = {
🧹 Nitpick comments (1)
react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (1)

206-234: Optional: Consider adding backoff to prevent log spam on persistent errors.

The readStream loop retries immediately on error without backoff. If Redis is persistently unavailable, this will spam error logs. While the isActive check stops the loop when close() is called, adding exponential backoff would improve resilience.

Example with simple backoff:

let retryDelay = 100; // Start with 100ms

const readStream = async () => {
  if (!isActive || isEnded) {
    return;
  }

  try {
    const results = (await client.xRead(
      { key: streamKey, id: lastId },
      { COUNT: 100, BLOCK: 1000 },
    )) as RedisStreamResult[] | null;

    retryDelay = 100; // Reset delay on success

    // ... rest of processing
  } catch (error) {
    console.error('Error reading from stream:', error);
    retryDelay = Math.min(retryDelay * 2, 5000); // Exponential backoff, max 5s
    await new Promise(resolve => setTimeout(resolve, retryDelay));
  } finally {
    void readStream();
  }
};
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Review profile: CHILL

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Reviewing files that changed from the base of the PR and between dfc8551 and 10f1644.

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🔇 Additional comments (2)
react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (2)

353-365: LGTM: Initialization properly handles errors and cleanup.

The asynchronous initialization correctly:

  • Processes existing messages before starting the stream listener
  • Sets initializationError on failure so getValue can reject appropriately
  • Calls close() to clean up resources on initialization failure
  • Has defensive error handling with the outer .catch()

This addresses the PR objective of proper cleanup and error handling.


42-368: Architecture successfully eliminates global state.

The refactor achieves the PR objectives:

  • ✅ Each listenToRequestData() call creates an isolated listener with dedicated Redis client
  • ✅ No module-level globals (removed shared client, activeListeners, global pendingPromises)
  • ✅ Proper cleanup: delete used for map entries, Redis client closed in close()
  • ✅ Race condition fixed: ensureConnected() serializes connection attempts per listener
  • ✅ Request isolation for concurrent SSR

The external API is preserved (getValue/close), and promise identity is maintained for React Suspense compatibility.

Comment on lines +54 to +55
const url = process.env.REDIS_URL || 'redis://localhost:6379';
const redisClient: RedisClientType = createClient({ url });
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⚠️ Potential issue | 🔴 Critical

Critical: Add error event listener to prevent process crash.

The Redis client requires at least one error listener; without it, unhandled errors will crash the Node.js process. This is a production-critical issue.

Apply this diff to add error handling immediately after client creation:

 const url = process.env.REDIS_URL || 'redis://localhost:6379';
 const redisClient: RedisClientType = createClient({ url });
+
+// MUST handle errors to prevent process crash
+redisClient.on('error', (err) => {
+  console.error('Redis client error:', err);
+  // Error will be handled by connection retry logic in ensureConnected
+});
+
 let isClientConnected = false;
 let connectionPromise: Promise<void> | null = null;
🤖 Prompt for AI Agents
In react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts around lines
54 to 55, the Redis client is created without an error listener which can cause
unhandled errors to crash the Node.js process; add an error handler immediately
after createClient by attaching redisClient.on('error', handler) (use the
project's logger if available or console.error) to log the error and prevent
process termination, and ensure this listener is in place before calling
redisClient.connect() or using the client.

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claude bot commented Nov 1, 2025

Code Review: Redis Receiver Refactoring

I've reviewed this PR and the refactoring looks excellent overall. The elimination of global state is a significant improvement for concurrent SSR scenarios. Here's my detailed feedback:


✅ Strengths

1. Architecture Improvements

  • Complete request isolation: Each listenToRequestData() call now has its own Redis client and state - this is the right approach for SSR
  • Eliminated global state: Removal of sharedRedisClient, activeListeners, and module-level pendingPromises prevents cross-request contamination
  • Cleaner code: -112 net lines removed while improving functionality

2. Bug Fixes

  • Fixed the race condition in connection handling by using a single promise chain for listenToStream()
  • Proper cleanup with dedicated destroy() method
  • Better error messages with stack traces included

3. API Improvements

  • Renamed close() to destroy() which better communicates that this is a one-time cleanup operation (not idempotent)
  • The timeout is now scoped per-listener (15s) instead of per-key (10s), which makes more sense

🐛 Potential Issues

1. Critical: Resource Leak in getValue() Loop (redisReceiver.ts:103-114)

The infinite while (true) loop in getValue() has no termination condition if the stream closes without the key being found:

while (true) {
  if (valuesMap.has(key)) {
    return valuesMap.get(key);
  }
  await listenToStream();  // ⚠️ If stream ends without the key, this loops forever
}

Problem: If listenToStream() completes (stream ends) but the key was never sent, the loop continues calling listenToStream() which immediately returns (no new messages), creating a tight infinite loop.

Suggested fix:

while (true) {
  if (valuesMap.has(key)) {
    return valuesMap.get(key);
  }
  if (isClosed) {
    throw new Error(`Key "${key}" not found - stream ended`);
  }
  await listenToStream();
}

2. Edge Case: Timeout After Destroy (redisReceiver.ts:127)

The global timeout can fire after destroy() has been called:

globalTimeout = setTimeout(() => {
  void destroy();
}, REDIS_LISTENER_TIMEOUT);

If destroy() is called manually at 14.9s, the timeout at 15s will call destroy() again, which is harmless but creates unnecessary async work.

Suggested fix: Clear the timeout in destroy() before closing:

async function destroy(): Promise<void> {
  if (isDestroyed) return;
  isDestroyed = true;
  clearTimeout(globalTimeout);  // Move this line up
  await close();
}

3. Race Condition: Connect Promise Not Saved (redisReceiver.ts:59-62)

The connection logic doesn't handle concurrent calls correctly:

if (!isConnected) {
  await redisClient.connect();
  isConnected = true;
}

Problem: If two getValue() calls happen simultaneously before the first connection completes, both will enter the if (!isConnected) block and call redisClient.connect() twice, causing the error shown in your test: "Socket already opened".

Your test at redisClient.test.ts:29-36 correctly identifies this issue, but the code doesn't handle it.

Suggested fix:

let connectPromise: Promise<void> | null = null;

if (!isConnected) {
  if (!connectPromise) {
    connectPromise = redisClient.connect().then(() => {
      isConnected = true;
      connectPromise = null;
    });
  }
  await connectPromise;
}

4. Missing Stream Cleanup (redisReceiver.ts:72-95)

The old code deleted processed messages with xDel(), but the new code doesn't. While Redis streams are ephemeral, not deleting messages means:

  • Stream grows unbounded during SSR lifecycle
  • Memory usage increases if many messages are sent
  • No cleanup happens until the stream key expires

Question: Is this intentional? Should we still delete processed messages, or rely on Redis TTL for the entire stream?


⚡ Performance Considerations

1. One Client Per Request

Trade-off: Creating a new Redis client for every SSR request has pros and cons:

Pros:

  • Complete isolation (no shared state bugs)
  • Simpler lifecycle management
  • No connection pooling complexity

Cons:

  • TCP connection overhead per request
  • Redis server sees more connections (100 concurrent requests = 100 connections)
  • Higher latency for first message (connection setup time)

Recommendation: This is fine for moderate traffic. If you see connection issues at scale, consider:

  • Connection pooling with request-scoped state
  • Reusing clients with proper cleanup
  • Monitor Redis connection count in production

2. Blocking Read Pattern

Using BLOCK: 0 (indefinite blocking) is good for this use case:

await redisClient.xRead({ key: streamKey, id: lastId }, { BLOCK: 0 })

This is more efficient than polling, and the infinite loop in getValue() naturally waits for batches.


🧪 Test Coverage

Strengths:

  • New unit tests cover Redis client behavior (connection, reconnection, race conditions)
  • E2E tests verify the streaming scenarios still work

Gaps:

  1. No test for the getValue() infinite loop issue - should test: "what happens when stream ends without sending a key?"
  2. No test for timeout behavior - should test: "listener times out after 15s and rejects pending promises"
  3. No test for concurrent getValue() calls - should test: "multiple getValue calls for same key return same promise"
  4. No test for destroy() during active getValue() - should test: "pending getValue promises are rejected when destroyed"

Suggested test:

test('getValue rejects if key not found before stream ends', async () => {
  const { getValue, destroy } = listenToRequestData('test-request');
  
  // Send end message without the key
  await sendToStream('test-request', { end: 'true' });
  
  await expect(getValue('missing-key')).rejects.toThrow('Key "missing-key" not found');
  await destroy();
});

🔒 Security Considerations

1. Redis URL from Environment

const url = process.env.REDIS_URL || 'redis://localhost:6379';

This is fine for development but ensure production:

  • Uses TLS (rediss:// not redis://)
  • Has authentication configured
  • Validates the URL format

2. Stream Key Construction

const streamKey = `stream:${requestId}`;

Ensure requestId is validated/sanitized before this point to prevent Redis key injection attacks.


📝 Minor Improvements

1. Error Message Enhancement (redisReceiver.ts:107-111)

The error message includes the stack trace, which is great, but the message could be clearer:

throw new Error(
  `Error getting value for key "${key}": ${(error as Error).message}, stack: ${(error as Error).stack}`,
);

Suggestion: Stack is already in the error object, no need to include it in the message:

const err = new Error(`Failed to get value for key "${key}": ${(error as Error).message}`);
err.cause = error;
throw err;

2. Type Safety (redisReceiver.ts:103)

The eslint-disable-next-line @typescript-eslint/no-unnecessary-condition suggests TypeScript knows this is unnecessary:

// eslint-disable-next-line @typescript-eslint/no-unnecessary-condition
while (true) {

This is fine, but consider if there's a cleaner way to structure this that doesn't require the disable comment.

3. Promise Identity (redisReceiver.ts:115-118)

Good! You're correctly caching promises to maintain identity for React Suspense:

const valuePromise = valuePromises.get(key);
if (valuePromise) {
  return valuePromise;
}

This ensures React Suspense gets the same promise across renders.


📋 Summary

Overall Assessment: This is a solid refactoring that addresses real memory leak and race condition issues. The code is cleaner and more maintainable.

Required Changes:

  1. Fix the infinite loop in getValue() when stream ends without key
  2. Fix the connection race condition
  3. Clear timeout in destroy() before closing

Recommended Changes:

  1. Add test coverage for edge cases
  2. Clarify stream cleanup strategy (should messages be deleted?)
  3. Improve error handling

Performance: The one-client-per-request approach is acceptable but monitor in production.

Grade: B+ (would be A with the critical fixes)

Great work on this refactoring! Once the critical issues are addressed, this will be a significant improvement to the codebase.


Review generated with Claude Code - let me know if you'd like me to clarify any points or help implement the suggested fixes!

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Actionable comments posted: 3

♻️ Duplicate comments (1)
react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (1)

47-49: Attach an error listener on the Redis client.

node-redis emits 'error' events, and without a listener the process crashes. Add an error handler right after createClient so unexpected network errors don’t tear down SSR.

  const url = process.env.REDIS_URL || 'redis://localhost:6379';
  const redisClient: RedisClientType = createClient({ url });
+  redisClient.on('error', (error) => {
+    console.error(`Redis listener error for request "${requestId}":`, error);
+  });
🧹 Nitpick comments (1)
react_on_rails_pro/spec/dummy/client/app/components/ErrorComponent.tsx (1)

10-10: Consider conditionally rendering the stack trace based on environment.

Displaying error stack traces unconditionally can expose sensitive application internals (file paths, structure) in production. Consider showing the stack only in development and test environments.

Apply this diff to conditionally render the stack trace:

       <h1>Error happened while rendering RSC Page</h1>
       <p>{error.message}</p>
-      <p>{error.stack}</p>
+      {(process.env.NODE_ENV === 'development' || process.env.NODE_ENV === 'test') && (
+        <pre>{error.stack}</pre>
+      )}

Note: Using <pre> for the stack trace preserves formatting for better readability. Based on learnings about including error stacks in development and test environments to aid debugging.

📜 Review details

Configuration used: CodeRabbit UI

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 10f1644 and 5aeb91a.

📒 Files selected for processing (5)
  • react_on_rails_pro/packages/node-renderer/tests/redisClient.test.ts (1 hunks)
  • react_on_rails_pro/spec/dummy/client/app/components/ErrorComponent.tsx (1 hunks)
  • react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RSCPostsPageOverRedis.jsx (1 hunks)
  • react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RedisReceiver.jsx (1 hunks)
  • react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (2 hunks)
🧰 Additional context used
📓 Path-based instructions (2)
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📄 CodeRabbit inference engine (CLAUDE.md)

Prettier is the sole authority for formatting all non-Ruby files; never manually format them

Files:

  • react_on_rails_pro/spec/dummy/client/app/components/ErrorComponent.tsx
  • react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RSCPostsPageOverRedis.jsx
  • react_on_rails_pro/packages/node-renderer/tests/redisClient.test.ts
  • react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RedisReceiver.jsx
  • react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts
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Files:

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  • react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RSCPostsPageOverRedis.jsx
  • react_on_rails_pro/packages/node-renderer/tests/redisClient.test.ts
  • react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RedisReceiver.jsx
  • react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts
🧠 Learnings (11)
📚 Learning: 2024-12-12T13:07:09.929Z
Learnt from: alexeyr-ci
Repo: shakacode/react_on_rails PR: 1644
File: node_package/src/ReactOnRailsRSC.ts:87-87
Timestamp: 2024-12-12T13:07:09.929Z
Learning: When handling errors in 'node_package/src/ReactOnRailsRSC.ts', include the error stack in error messages in development and test environments to aid debugging.

Applied to files:

  • react_on_rails_pro/spec/dummy/client/app/components/ErrorComponent.tsx
  • react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts
📚 Learning: 2025-06-09T07:58:02.646Z
Learnt from: AbanoubGhadban
Repo: shakacode/react_on_rails PR: 1696
File: node_package/src/RSCPayloadGenerator.ts:124-168
Timestamp: 2025-06-09T07:58:02.646Z
Learning: In React Server Components (RSC) implementations, explicit error handling in RSC payload generation streams (like in RSCPayloadGenerator.ts) is not needed because errors will propagate to client components that fetch the RSC payloads (such as RSCRoute components). React's built-in error handling mechanisms and ErrorBoundary components are sufficient for handling these errors at the component level, which allows for better user experience with appropriate error UI fallbacks.

Applied to files:

  • react_on_rails_pro/spec/dummy/client/app/components/ErrorComponent.tsx
📚 Learning: 2025-02-13T16:50:47.848Z
Learnt from: AbanoubGhadban
Repo: shakacode/react_on_rails PR: 1644
File: node_package/src/clientStartup.ts:18-21
Timestamp: 2025-02-13T16:50:47.848Z
Learning: In the react_on_rails module, the `reactOnRailsPageUnloaded` function in clientStartup.ts is intentionally kept private as it's only used internally as a callback for `onPageUnloaded`.

Applied to files:

  • react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RSCPostsPageOverRedis.jsx
  • react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RedisReceiver.jsx
📚 Learning: 2025-07-08T05:57:29.630Z
Learnt from: AbanoubGhadban
Repo: shakacode/react_on_rails PR: 1745
File: node_package/src/RSCRequestTracker.ts:8-14
Timestamp: 2025-07-08T05:57:29.630Z
Learning: The global `generateRSCPayload` function in React on Rails Pro (RORP) is provided by the framework during rendering requests, not implemented in application code. The `declare global` statements are used to document the expected interface that RORP will inject at runtime.

Applied to files:

  • react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RSCPostsPageOverRedis.jsx
  • react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RedisReceiver.jsx
📚 Learning: 2025-09-16T08:01:11.146Z
Learnt from: justin808
Repo: shakacode/react_on_rails PR: 1770
File: lib/generators/react_on_rails/templates/base/base/app/javascript/src/HelloWorld/ror_components/HelloWorld.client.jsx:2-2
Timestamp: 2025-09-16T08:01:11.146Z
Learning: React on Rails uses webpack CSS Modules configuration with namedExports: true, which requires the import syntax `import * as style from './file.module.css'` rather than the default export pattern. This configuration enables better tree shaking and bundle size optimization for CSS modules.

Applied to files:

  • react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RSCPostsPageOverRedis.jsx
📚 Learning: 2025-02-18T13:08:01.477Z
Learnt from: AbanoubGhadban
Repo: shakacode/react_on_rails PR: 1644
File: lib/react_on_rails/helper.rb:190-197
Timestamp: 2025-02-18T13:08:01.477Z
Learning: RSC support validation is handled in deeper level calls of the React on Rails Pro codebase, so it doesn't need to be validated again in the `rsc_payload_react_component` helper method.

Applied to files:

  • react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RSCPostsPageOverRedis.jsx
📚 Learning: 2024-10-08T20:53:47.076Z
Learnt from: theforestvn88
Repo: shakacode/react_on_rails PR: 1620
File: spec/dummy/client/app/startup/HelloTurboStream.jsx:3-3
Timestamp: 2024-10-08T20:53:47.076Z
Learning: The `RailsContext` import in `spec/dummy/client/app/startup/HelloTurboStream.jsx` is used later in the project, as clarified by the user theforestvn88.

Applied to files:

  • react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RSCPostsPageOverRedis.jsx
  • react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RedisReceiver.jsx
📚 Learning: 2025-04-26T21:55:55.874Z
Learnt from: alexeyr-ci2
Repo: shakacode/react_on_rails PR: 1732
File: spec/dummy/client/app-react16/startup/ReduxSharedStoreApp.client.jsx:40-44
Timestamp: 2025-04-26T21:55:55.874Z
Learning: In the react_on_rails project, files under `app-react16` directories are copied/moved to corresponding `/app` directories during the conversion process (removing the `-react16` suffix), which affects their relative import paths at runtime.

Applied to files:

  • react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RSCPostsPageOverRedis.jsx
📚 Learning: 2025-09-15T21:24:48.207Z
Learnt from: AbanoubGhadban
Repo: shakacode/react_on_rails PR: 1781
File: node_package/src/ClientSideRenderer.ts:82-95
Timestamp: 2025-09-15T21:24:48.207Z
Learning: In React on Rails, the force_load feature includes both explicit `data-force-load="true"` usage and the ability to hydrate components during the page loading state (`document.readyState === 'loading'`). Both capabilities require a Pro license, so the condition `!railsContext.rorPro && (isComponentForceLoaded || document.readyState === 'loading')` correctly gates both scenarios.

Applied to files:

  • react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RSCPostsPageOverRedis.jsx
📚 Learning: 2025-02-18T13:08:01.477Z
Learnt from: AbanoubGhadban
Repo: shakacode/react_on_rails PR: 1644
File: lib/react_on_rails/helper.rb:190-197
Timestamp: 2025-02-18T13:08:01.477Z
Learning: RSC support validation in React on Rails Pro is handled through a chain of validations:
1. Pro version check in `run_stream_inside_fiber`
2. RSC support check during pack generation via `ReactOnRailsPro.configuration.enable_rsc_support`
3. RSC support validation during component registration
This makes additional validation in the helper methods unnecessary.

Applied to files:

  • react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RSCPostsPageOverRedis.jsx
📚 Learning: 2025-04-09T12:56:10.756Z
Learnt from: AbanoubGhadban
Repo: shakacode/react_on_rails PR: 1696
File: node_package/src/RSCPayloadContainer.ts:0-0
Timestamp: 2025-04-09T12:56:10.756Z
Learning: In the react_on_rails codebase, RSC payloads are already stringified using `JSON.stringify()` before being processed by the `escapeScript` function, which handles escaping of special characters. The function only needs to handle specific HTML markers like comments and closing script tags.

Applied to files:

  • react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RSCPostsPageOverRedis.jsx
🧬 Code graph analysis (4)
react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RSCPostsPageOverRedis.jsx (2)
react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RedisReceiver.jsx (1)
  • listenToRequestData (37-37)
react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (1)
  • listenToRequestData (34-193)
react_on_rails_pro/packages/node-renderer/tests/redisClient.test.ts (1)
react_on_rails_pro/spec/dummy/client/node-renderer.js (1)
  • process (5-5)
react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RedisReceiver.jsx (2)
react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RSCPostsPageOverRedis.jsx (1)
  • listenToRequestData (6-6)
react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (1)
  • listenToRequestData (34-193)
react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (2)
react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RSCPostsPageOverRedis.jsx (1)
  • listenToRequestData (6-6)
react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RedisReceiver.jsx (2)
  • listenToRequestData (37-37)
  • value (7-7)
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🔇 Additional comments (2)
react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RedisReceiver.jsx (1)

36-41: API rename looks good.

Switching to destroy keeps this component aligned with the updated listener contract.

react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RSCPostsPageOverRedis.jsx (1)

5-14: Clean rename to destroy.

The consumer now matches the new { getValue, destroy } signature with no behavioral change.

Comment on lines +5 to +37
test('Redis client connects successfully', async () => {
await redisClient.connect();
expect(redisClient.isOpen).toBe(true);
await redisClient.quit();
});

test('calls connect after quit', async () => {
await redisClient.connect();
expect(redisClient.isOpen).toBe(true);
await redisClient.quit();

await redisClient.connect();
expect(redisClient.isOpen).toBe(true);
await redisClient.quit();
});

test('calls quit before connect is resolved', async () => {
const client = createClient({ url: process.env.REDIS_URL || 'redis://localhost:6379' });
const connectPromise = client.connect();
await client.quit();
await connectPromise;
expect(client.isOpen).toBe(false);
});

test('multiple connect calls', async () => {
const client = createClient({ url: process.env.REDIS_URL || 'redis://localhost:6379' });
const connectPromise1 = client.connect();
const connectPromise2 = client.connect();
await expect(connectPromise2).rejects.toThrow('Socket already opened');
await expect(connectPromise1).resolves.toMatchObject({});
expect(client.isOpen).toBe(true);
await client.quit();
});
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⚠️ Potential issue | 🟠 Major

Guarantee Redis client cleanup even on assertion failures.

If an expectation throws before you hit quit(), Jest keeps the socket open and the suite hangs on teardown. Wrap each test’s connect logic in a try/finally (or add shared afterEach/afterAll cleanup) so we always close the client—even when assertions fail.

 test('Redis client connects successfully', async () => {
-  await redisClient.connect();
-  expect(redisClient.isOpen).toBe(true);
-  await redisClient.quit();
+  await redisClient.connect();
+  try {
+    expect(redisClient.isOpen).toBe(true);
+  } finally {
+    await redisClient.quit().catch(() => redisClient.disconnect());
+  }
 });

Please apply the same pattern to the other tests that open their own clients.

Committable suggestion skipped: line range outside the PR's diff.

Comment on lines 188 to 190
globalTimeout = setTimeout(() => {
void destroy();
}, REDIS_LISTENER_TIMEOUT);
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⚠️ Potential issue | 🟠 Major

Handle destroy() rejection from the auto-timeout.

setTimeout(() => void destroy()) drops any rejection from destroy(), leaving an unhandled rejection that will crash Node ≥16. Capture the promise and log/ignore failures instead.

-  globalTimeout = setTimeout(() => {
-    void destroy();
-  }, REDIS_LISTENER_TIMEOUT);
+  globalTimeout = setTimeout(() => {
+    destroy().catch((error) => {
+      console.error(`Failed to destroy Redis listener for "${requestId}":`, error);
+    });
+  }, REDIS_LISTENER_TIMEOUT);
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
globalTimeout = setTimeout(() => {
void destroy();
}, REDIS_LISTENER_TIMEOUT);
globalTimeout = setTimeout(() => {
destroy().catch((error) => {
console.error(`Failed to destroy Redis listener for "${requestId}":`, error);
});
}, REDIS_LISTENER_TIMEOUT);
🤖 Prompt for AI Agents
In react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts around lines
188–190, the setTimeout handler calls destroy() with void which drops any
promise rejection and can produce an unhandled rejection on Node >=16; change
the timeout callback to capture the returned promise and handle failures (e.g.
call destroy().catch(err => { /* log or ignore */ }) or await destroy() inside
an async wrapper), ensuring any rejection is caught and either logged via the
existing logger or safely ignored.

@claude
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claude bot commented Nov 1, 2025

Code Review - PR #1894

Summary

This is an excellent refactoring that successfully eliminates global state and fixes critical memory leak and race condition issues. The architecture change from shared state to per-request isolation is sound and well-executed. Overall: APPROVED with minor suggestions.


✅ Strengths

1. Excellent Architecture Improvement

  • Moving from global shared state to per-listener encapsulation is the right approach
  • Complete request isolation prevents cross-contamination in concurrent SSR scenarios
  • Simpler mental model with local state vs global state management

2. Proper Memory Management

  • Each listener creates and destroys its own Redis client
  • No lingering references after cleanup
  • Timeout-based auto-cleanup prevents resource leaks

3. Race Condition Fixes

  • The single-promise pattern in listenToStream() elegantly prevents concurrent connection attempts
  • Moving connection logic inside listenToStream() with the check if (listenToStreamPromise) is clean

4. Good Test Coverage

  • New test file redisClient.test.ts covers important scenarios
  • Tests include edge cases like quit-before-connect, concurrent connections, and blocking operations

🐛 Potential Bugs & Issues

Critical: Infinite Loop Risk

Location: redisReceiver.ts:139-148

while (true) {
  if (valuesMap.has(key)) {
    return valuesMap.get(key);
  }
  await listenToStream();
}

Issue: If the stream ends (close() is called) before the key arrives, listenToStream() will throw, but there's no explicit handling for the "key never arrives" scenario.

Current behavior: When close() is called, isClosed = true, then listenToStream() throws "Redis Connection is closed", which is caught and re-thrown with more context in the catch block.

Problem: The error message might be confusing. Consider making it clearer that the key was never found because the stream ended.

Suggestion:

try {
  while (true) {
    if (valuesMap.has(key)) {
      return valuesMap.get(key);
    }
    await listenToStream();
  }
} catch (error) {
  if (isClosed) {
    throw new Error(`Key "${key}" not found - stream ended before value arrived`);
  }
  throw new Error(
    `Error getting value for key "${key}": ${(error as Error).message}`
  );
}

Medium: Missing Message Deletion

Observation: The old code deleted messages from the stream after processing (xDel). The new code doesn't delete them.

Questions:

  1. Is this intentional to rely only on TTL expiration?
  2. Could this cause memory issues if streams accumulate many messages before TTL expires?
  3. Are there scenarios where the same stream might be read multiple times?

Recommendation: Document why message deletion was removed, or add it back if it was an oversight.

Medium: Error Stack Trace Exposure

Location: ErrorComponent.tsx:10

<p>{error.stack}</p>

Issue: Displaying full stack traces in production can leak sensitive information about server architecture, file paths, and implementation details.

Recommendation: Only show stack traces in development:

{process.env.NODE_ENV === 'development' && <p>{error.stack}</p>}

Low: eslint-disable Comments

Locations: redisReceiver.ts:138 and redisReceiver.ts:145

// eslint-disable-next-line @typescript-eslint/no-unnecessary-condition
while (true) {
  // ...
  // eslint-disable-next-line no-await-in-loop
  await listenToStream();
}

Observation: While technically correct, these disabled rules might indicate a pattern that could be refactored.

Alternative approach: Consider using a recursive async function instead:

async function waitForKey(): Promise<unknown> {
  if (valuesMap.has(key)) {
    return valuesMap.get(key);
  }
  await listenToStream();
  return waitForKey();
}
return waitForKey();

This eliminates the need for eslint disables and might be more idiomatic.


⚡ Performance Considerations

Good: Connection Reuse

  • Lazy connection (if (!isConnected)) is efficient
  • Single promise pattern prevents duplicate xRead calls

Concern: One Client Per Request

  • Old: Shared Redis client across all requests
  • New: One Redis client per listenToRequestData() call

Question: Have you benchmarked the connection overhead under load? Creating/destroying Redis connections for every SSR request could be expensive.

Suggestion: Consider connection pooling if performance testing shows this is an issue. However, the current approach might be acceptable if:

  • SSR requests are infrequent
  • Redis connection time is negligible
  • Request isolation is more important than performance

Good: Blocking Read

await redisClient.xRead(
  { key: streamKey, id: lastId },
  { BLOCK: 0 }, // Block indefinitely
)

Using BLOCK: 0 is more efficient than polling, good choice.


🔒 Security Concerns

Low: TTL Configuration

const REDIS_LISTENER_TIMEOUT = 15000; // 15 seconds
await redisClient.expire(streamKey, REDIS_LISTENER_TIMEOUT / 1000);

Observation: 15-second TTL seems reasonable for SSR scenarios, but this is a critical timeout.

Questions:

  1. What happens if SSR takes longer than 15 seconds?
  2. Should this be configurable?

Recommendation: Consider making this configurable via environment variable:

const REDIS_LISTENER_TIMEOUT = parseInt(process.env.REDIS_LISTENER_TIMEOUT || '15000', 10);

Good: Error Message Safety

Error messages don't leak sensitive data, though the stack trace issue mentioned above should be addressed.


🧪 Test Coverage

Good Coverage in redisClient.test.ts:

  • ✅ Basic connection/disconnection
  • ✅ Reconnection after quit
  • ✅ Concurrent connect calls (race condition)
  • ✅ Quit during blocking read
  • ✅ TTL/expiration behavior
  • ✅ Stream read/write

Missing Tests:

Consider adding tests for the refactored redisReceiver.ts:

  1. Multiple concurrent listeners: Verify that multiple listenToRequestData() calls create isolated state
  2. End message handling: Test that destroy() is called properly and pending promises are rejected
  3. Timeout behavior: Test that global timeout destroys the listener after 15 seconds
  4. Key not found scenario: Test what happens when getValue() waits for a key that never arrives
  5. Destroy during getValue: Test calling destroy() while getValue() is waiting

📝 API Changes

Breaking Change Documentation

The API changed from close() to destroy():

- const { getValue, close } = listenToRequestData(requestId);
+ const { getValue, destroy } = listenToRequestData(requestId);

Observation: This is properly updated in the dummy app components. If this is a public API, ensure:

  1. Migration guide is provided
  2. Changelog mentions the breaking change
  3. Version bump follows semantic versioning (major bump)

💡 Additional Suggestions

1. Type Safety for valuesMap

Currently using Map<string, unknown>. Consider:

const valuesMap = new Map<string, unknown>();
// Could potentially track types if schema is known

2. Logging for Debugging

Consider adding debug logging for production troubleshooting:

if (receivedEndMessage) {
  console.debug(`Stream ${streamKey} ended, received ${valuesMap.size} keys`);
  close();
}

3. Graceful Degradation

Consider adding a retry mechanism for transient Redis connection errors instead of immediately failing.

4. Documentation

Add JSDoc comments explaining:

  • Why each listener creates its own client
  • The lifecycle of a listener (creation → getValue calls → destroy/timeout)
  • Thread-safety guarantees (or lack thereof)

📊 Final Verdict

Category Rating Notes
Code Quality ⭐⭐⭐⭐⭐ Clean, well-structured refactoring
Architecture ⭐⭐⭐⭐⭐ Excellent move to request-scoped state
Bug Fixes ⭐⭐⭐⭐☆ Fixes major issues, minor edge cases remain
Performance ⭐⭐⭐⭐☆ Good, but needs benchmarking under load
Security ⭐⭐⭐⭐☆ Mostly good, fix stack trace exposure
Tests ⭐⭐⭐⭐☆ Good client tests, needs listener tests

Overall: APPROVED

This is a high-quality refactoring that addresses real problems. Address the critical infinite loop error handling and consider the other suggestions, but the core changes are solid.


Reviewed with Claude Code 🤖

@coderabbitai coderabbitai bot added the bug label Nov 1, 2025
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Actionable comments posted: 1

♻️ Duplicate comments (2)
react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (2)

48-48: CRITICAL: Add error event listener to prevent process crash.

The Redis client requires at least one error listener; without it, unhandled errors will crash the Node.js process. This is a production-critical issue that was flagged in previous reviews and remains unaddressed.

Apply this diff to add error handling immediately after client creation:

 const url = process.env.REDIS_URL || 'redis://localhost:6379';
 const redisClient: RedisClientType = createClient({ url });
+
+// Handle errors to prevent process crash
+redisClient.on('error', (err) => {
+  console.error(`Redis client error for stream "${streamKey}":`, err);
+});
+
 let isConnected = false;

189-191: Add error handling to auto-destroy timeout.

While destroy() is now synchronous and unlikely to throw, defensive coding suggests wrapping the call in try-catch to prevent unhandled exceptions from the timer callback from crashing the process.

Apply this diff:

   // Global timeout - destroys listener after 15 seconds
   globalTimeout = setTimeout(() => {
-    destroy();
+    try {
+      destroy();
+    } catch (error) {
+      console.error(`Error during auto-destroy of listener for "${requestId}":`, error);
+    }
   }, REDIS_LISTENER_TIMEOUT);
🧹 Nitpick comments (1)
react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (1)

174-193: Consider initializing globalTimeout to avoid undefined state.

globalTimeout is declared (line 174) but not assigned until line 189. If destroy() is somehow called synchronously before line 189 executes, clearTimeout(globalTimeout) receives undefined, which is safe but semantically unclear. Consider either using let globalTimeout: NodeJS.Timeout | null = null with a null check, or restructure to assign immediately.

📜 Review details

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Review profile: CHILL

Plan: Pro

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Reviewing files that changed from the base of the PR and between 5aeb91a and dd70d41.

📒 Files selected for processing (2)
  • react_on_rails_pro/packages/node-renderer/tests/redisClient.test.ts (1 hunks)
  • react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (2 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
  • react_on_rails_pro/packages/node-renderer/tests/redisClient.test.ts
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Files:

  • react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts
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🧠 Learnings (1)
📚 Learning: 2024-12-12T13:07:09.929Z
Learnt from: alexeyr-ci
Repo: shakacode/react_on_rails PR: 1644
File: node_package/src/ReactOnRailsRSC.ts:87-87
Timestamp: 2024-12-12T13:07:09.929Z
Learning: When handling errors in 'node_package/src/ReactOnRailsRSC.ts', include the error stack in error messages in development and test environments to aid debugging.

Applied to files:

  • react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts
🧬 Code graph analysis (1)
react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (2)
react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RSCPostsPageOverRedis.jsx (1)
  • listenToRequestData (6-6)
react_on_rails_pro/spec/dummy/client/app/ror-auto-load-components/RedisReceiver.jsx (2)
  • listenToRequestData (37-37)
  • value (7-7)
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (9)
  • GitHub Check: build-dummy-app-webpack-test-bundles
  • GitHub Check: claude-review
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  • GitHub Check: rspec-package-tests (3.4, minimum)
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🔇 Additional comments (4)
react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts (4)

1-27: LGTM: Clean type definitions and constants.

The interface changes (destroy replacing close) align with PR objectives, and the timeout constant is well-named.


138-172: LGTM: getValue correctly handles lifecycle and preserves promise identity.

The implementation properly checks isDestroyed, maintains promise identity for React Suspense, and includes error stack traces for debugging per the project's learning. The loop pattern with listenToStream() will correctly terminate when the stream closes or an error occurs.

Based on learnings


113-117: Verify the Redis stream producer key format contract.

The code removes leading : from keys (line 114), which appears intentional. However, without access to the Redis stream producer code or API contract documentation, I cannot confirm whether this normalization matches the contract. The code anticipates keys both with and without the prefix (key.startsWith(':')), suggesting this is deliberate, but the producer's actual key format should be verified.

Search within the codebase produced no clear results showing where stream keys are produced or documented. Manual verification with the backend producer code or API specification is needed.


54-64: No critical race condition found; current implementation has mitigations, but the suggestion has merit.

The code uses a mutual exclusion pattern via listenToStreamPromise where only one promise executes at a time. If close() is called during await redisClient.connect(), the synchronous destroy() call will interrupt the pending connection, the exception propagates to reject the promise, and isConnected remains false. The finally block in close() ensures cleanup completes.

However, the suggestion to await listenToStreamPromise before destroying the client is reasonable for explicit cleanup, particularly if the Redis client library doesn't guarantee interrupt semantics. The current tests do not cover this concurrent close-during-connection scenario.

Consider either:

  • Adding a guard to await any pending listenToStreamPromise in close() with error suppression for explicit cleanup, or
  • Adding a test case verifying behavior when destroy() is called during in-progress connection to confirm interrupt guarantees.

Comment on lines 71 to 89
function listenToStream(): Promise<void> {
// Return existing promise if already listening
if (listenToStreamPromise) {
return listenToStreamPromise;
}

try {
const client = await getRedisClient();

// Read all messages from the beginning of the stream
const results = (await client.xRead({ key: streamKey, id: '0' }, { COUNT: 100 })) as
| RedisStreamResult[]
| null;
// Create new listening promise
listenToStreamPromise = (async (): Promise<void> => {
if (isClosed) {
throw new Error('Redis Connection is closed');
}

if (results && Array.isArray(results) && results.length > 0) {
const [{ messages }] = results;
// redisClient.connect(); is called only here
// And `listenToStream` runs only one promise at a time, so no fear of race condition
if (!isConnected) {
await redisClient.connect();
await redisClient.expire(streamKey, REDIS_LISTENER_TIMEOUT / 1000); // Set TTL to avoid stale streams
isConnected = true;
}
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⚠️ Potential issue | 🔴 Critical

CRITICAL: Race condition allows concurrent connection attempts.

Lines 73-78 have a time-of-check to time-of-use (TOCTOU) race: if listenToStream() is called concurrently before listenToStreamPromise is assigned (line 78), both calls pass the null check at line 73 and create separate promises. Both will execute redisClient.connect() concurrently (line 86), causing the second connect to fail or producing undefined behavior.

Apply this diff to fix the race:

   function listenToStream(): Promise<void> {
     // Return existing promise if already listening
     if (listenToStreamPromise) {
       return listenToStreamPromise;
     }
 
-    // Create new listening promise
-    listenToStreamPromise = (async (): Promise<void> => {
+    // Create new listening promise and assign immediately to prevent race
+    const promise = (async (): Promise<void> => {
       if (isClosed) {
         throw new Error('Redis Connection is closed');
       }
 
       // redisClient.connect(); is called only here
       // And `listenToStream` runs only one promise at a time, so no fear of race condition
       if (!isConnected) {
         await redisClient.connect();
         await redisClient.expire(streamKey, REDIS_LISTENER_TIMEOUT / 1000); // Set TTL to avoid stale streams
         isConnected = true;
       }
 
       // xRead blocks indefinitely until message arrives
       const result = (await redisClient.xRead(
         { key: streamKey, id: lastId },
         { BLOCK: 0 }, // Block indefinitely
       )) as RedisStreamResult[] | null;
 
       if (!result || result.length === 0) {
         return;
       }
 
       const [{ messages }] = result;
 
       let receivedEndMessage = false;
       for (const { id, message } of messages) {
         lastId = id;
 
         // Check for end message
         if ('end' in message) {
           receivedEndMessage = true;
         }
 
         // Process key-value pairs
         Object.entries(message).forEach(([key, value]) => {
           const normalizedKey = key.startsWith(':') ? key.substring(1) : key;
           const parsedValue = JSON.parse(value) as unknown;
           valuesMap.set(normalizedKey, parsedValue);
         });
       }
 
       // If end message received, close the connection
       if (receivedEndMessage) {
         close();
       }
     })();
 
+    listenToStreamPromise = promise;
-    return listenToStreamPromise.finally(() => {
+    return promise.finally(() => {
       // Reset so next call creates new promise
       listenToStreamPromise = null;
     });
   }

Committable suggestion skipped: line range outside the PR's diff.

🤖 Prompt for AI Agents
In react_on_rails_pro/spec/dummy/client/app/utils/redisReceiver.ts around lines
71 to 89, the current null-check then later assignment of listenToStreamPromise
allows concurrent callers to create separate promises and race on
redisClient.connect(); fix by assigning listenToStreamPromise immediately before
performing any async work so subsequent callers see the same promise (e.g.
assign listenToStreamPromise = (async () => { ... })() synchronously), and
ensure you clear/replace listenToStreamPromise on final completion or on error
so retries work correctly; do not change the public behavior beyond preventing
concurrent connect attempts.

@claude
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claude bot commented Nov 1, 2025

Code Review: Refactor redisReceiver to eliminate global state

✅ Strengths

Excellent architectural improvement - This refactor successfully addresses critical issues with global state and memory leaks. The new per-listener isolation is a significant improvement.

Good test coverage - The new redisClient.test.ts provides comprehensive coverage of Redis client behavior including edge cases like concurrent connect/quit and blocking operations.

Clear documentation - The PR description is thorough, changes are well-documented in comments, and the benefit/risk trade-offs are clearly explained.

@claude
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claude bot commented Nov 1, 2025

🔴 Critical Issues

1. Race condition in connection establishment (redisReceiver.ts:85-89)

The connection logic has a subtle race condition when multiple getValue() calls happen simultaneously:

if (!isConnected) {
  await redisClient.connect();
  await redisClient.expire(streamKey, REDIS_LISTENER_TIMEOUT / 1000);
  isConnected = true;
}

Problem: If two getValue() calls happen before isConnected is set to true, both will call listenToStream() concurrently. While listenToStreamPromise prevents duplicate stream reads, the first call to listenToStream() might not have the promise set yet, allowing both to enter the if (!isConnected) block.

Evidence: Your own test in redisClient.test.ts:40-47 shows that concurrent connect() calls throw 'Socket already opened' errors.

Fix suggestion: Use a connection promise pattern to serialize connection attempts.

@claude
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claude bot commented Nov 1, 2025

2. Missing error handling for JSON.parse (redisReceiver.ts:115)

Problem: If malformed JSON arrives from Redis, JSON.parse will throw an unhandled exception that will reject ALL pending getValue() promises with a generic error. This could crash server-side rendering.

Fix: Add try-catch with proper error handling around the JSON.parse call to handle malformed data gracefully.

@claude
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claude bot commented Nov 1, 2025

3. Potential infinite loop (redisReceiver.ts:155)

The while (true) loop in getValue() has no escape mechanism if:

  • The stream never sends the expected key
  • The stream never sends an end message
  • The connection dies but destroy() is not called

While there is a global timeout, if getValue() is called after the timeout expires but before destroy() is triggered, the promise will hang.

Fix: Check isClosed in the loop condition instead of while (true).

@claude
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claude bot commented Nov 1, 2025

⚠️ Medium Priority Issues

4. Memory leak: valuePromises never cleaned up (redisReceiver.ts:172)

Once a promise is added to valuePromises, it is never removed. For long-running servers with many requests, this map will grow indefinitely until the 15-second timeout. Each key requested stays in memory even after resolved.

Recommendation: Clean up promises after resolution using a finally block.

5. Uninitialized variable (redisReceiver.ts:176)

let globalTimeout: NodeJS.Timeout; is used at line 185 (clearTimeout(globalTimeout)) without checking if initialized. If destroy() is called before line 191 executes, globalTimeout is undefined.

Fix: Initialize as NodeJS.Timeout | undefined and add guard in destroy().

@claude
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claude bot commented Nov 1, 2025

🧪 Test Coverage Gaps

While redisClient.test.ts tests Redis client behavior, there are no direct tests for the new listenToRequestData() implementation:

  • No test for concurrent getValue() calls for the same key
  • No test for the race condition scenario
  • No test for error handling when JSON parsing fails
  • No test for behavior when destroy() is called while getValue() is pending
  • No test verifying memory cleanup

Recommendation: Add integration tests that exercise the full listenToRequestData() functionality including edge cases and error scenarios.

@claude
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claude bot commented Nov 1, 2025

🔒 Security & Performance Considerations

Security:

  • No input validation on requestId - if it contains special characters or is crafted maliciously, could it cause issues with Redis stream keys?
  • No maximum message size limit when parsing JSON values from Redis - a malicious/buggy producer could send extremely large payloads

Performance:

  • BLOCK: 0 means each listener holds a Redis connection indefinitely. Under high concurrency (many SSR requests), this could exhaust Redis connections
  • The 15-second timeout provides good mitigation but consider monitoring connection pool usage

Minor improvements:

  • Typo in comment at line 43: "explictly" should be "explicitly"
  • Consider consistent error message formatting with requestId included for better debugging

@claude
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claude bot commented Nov 1, 2025

📝 Summary

Overall assessment: This is a solid refactor that addresses real architectural problems. The elimination of global state is the right approach and will prevent memory leaks and race conditions in production.

Before merging, please address:

  1. ✅ Fix the connection race condition (Critical)
  2. ✅ Add JSON.parse error handling (Critical)
  3. ✅ Add loop termination check for isClosed (Critical)
  4. ✅ Fix memory leak in valuePromises (High)
  5. ✅ Fix uninitialized globalTimeout (Medium)
  6. ⚠️ Consider adding integration tests for edge cases

After addressing these issues, this PR will be ready to merge. Great work on improving the architecture and thank you for the thorough documentation!


Review performed following repository CLAUDE.md guidelines

@claude
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claude bot commented Nov 1, 2025

Code Review - PR #1894: Refactor redisReceiver to eliminate global state

Overall Assessment

This is a high-quality refactor that successfully addresses critical concurrency and memory leak issues. The architecture change from global shared state to request-scoped instances is well-executed and significantly improves code safety.

✅ Strengths

  1. Excellent Architecture Improvement

    • Elimination of global state (sharedRedisClient, activeListeners, pendingPromises) is a major win
    • Per-request isolation prevents race conditions and cross-request interference
    • Cleaner separation of concerns with instance-scoped state
  2. Memory Leak Prevention

    • Proper cleanup with destroy() method
    • No lingering references after request completion
    • TTL-based stream expiration adds safety net
  3. Code Quality

    • Well-documented with clear JSDoc comments
    • Reduced complexity (-18 lines, simpler logic)
    • Better error messages with stack traces
  4. Testing

    • Good Redis client behavior tests added
    • Tests cover key edge cases (concurrent connects, quit while reading, TTL/expiry)
    • CI integration properly configured with Redis service

🔍 Issues & Suggestions

Critical Issues

1. Infinite Loop Risk in getValue() (redisReceiver.ts:155)

while (true) {
  if (valuesMap.has(key)) {
    return valuesMap.get(key);
  }
  await listenToStream();
}

Problem: If a key is never received and no end message arrives, this loops forever. The global timeout (15s) will eventually call destroy(), but the promise will remain pending rather than rejecting.

Fix: After destroy() is called, listenToStream() should reject, which will propagate to the getValue() promise. However, I don't see where this happens in the current code.

Recommended Solution:

  • When destroy() is called, explicitly reject all pending valuePromises
  • Or ensure listenToStream() properly rejects when isClosed is true

2. Missing Cleanup of valuePromises Map

The valuePromises Map is never cleared, which could accumulate memory if many unique keys are requested. While this is bounded by the 15s timeout, it's still worth noting.

3. Race Condition in destroy() (redisReceiver.ts:180-188)

function destroy() {
  if (isDestroyed) return;
  isDestroyed = true;
  clearTimeout(globalTimeout);
  close();
}

If destroy() is called while listenToStream() is executing redisClient.connect(), there's a potential race where:

  1. listenToStream() starts connecting
  2. destroy() calls close() which does redisClient.destroy()
  3. The connection completes after destruction

This is likely fine in practice, but worth noting.

Medium Issues

4. Missing Error Handling in listenToStream() (redisReceiver.ts:71-132)

The listenToStream() function doesn't have explicit error handling. If redisClient.connect() or redisClient.xRead() throws, the error propagates to all getValue() promises, which is good. However:

  • No logging of connection errors
  • No differentiation between transient errors (network issues) and permanent errors

Suggestion: Add structured error logging and consider retry logic for transient errors.

5. globalTimeout Variable Declaration (redisReceiver.ts:176)

let globalTimeout: NodeJS.Timeout;
// ...
globalTimeout = setTimeout(() => {
  destroy();
}, REDIS_LISTENER_TIMEOUT);

globalTimeout is declared but not initialized. While this works, it would be cleaner to initialize inline:

const globalTimeout = setTimeout(() => destroy(), REDIS_LISTENER_TIMEOUT);

This also makes it clear that globalTimeout shouldn't be reassigned.

6. Inconsistent Timeout Values

  • REDIS_LISTENER_TIMEOUT is 15 seconds (redisReceiver.ts:3)
  • Old code had REDIS_READ_TIMEOUT of 10 seconds
  • TTL is set to 15 seconds (redisReceiver.ts:87)

Question: Is 15 seconds appropriate for all SSR scenarios? Long-running data fetches might exceed this. Consider making it configurable.

Minor Issues

7. Typo in Comment (redisReceiver.ts:43)

// True when user explictly calls destroy

Should be "explicitly" not "explictly".

8. Test Coverage Gaps

The new redisClient.test.ts tests Redis client behavior but doesn't test the refactored listenToRequestData() function itself. Consider adding:

  • Unit tests for listenToRequestData() with mocked Redis client
  • Tests for the 15-second timeout behavior
  • Tests for concurrent getValue() calls
  • Tests for error scenarios (connection failures, invalid JSON, etc.)

9. Missing valuesMap.clear() in destroy()

For complete cleanup, consider clearing the maps in destroy():

function destroy() {
  if (isDestroyed) return;
  isDestroyed = true;
  clearTimeout(globalTimeout);
  valuesMap.clear();
  valuePromises.clear();
  close();
}

Performance Considerations

10. Blocking Forever with BLOCK: 0 (redisReceiver.ts:94)

const result = await redisClient.xRead(
  { key: streamKey, id: lastId },
  { BLOCK: 0 }, // Block indefinitely
);

While this is correct for the use case, it means if no messages arrive, the connection stays open until the 15s timeout. This is fine but worth documenting.

11. No Connection Pooling

Each request creates a new Redis client. For high-concurrency scenarios, this could lead to many simultaneous connections. Consider:

  • Is this acceptable for your Redis setup?
  • Document the expected connection count (1 per concurrent SSR request)

🔒 Security Considerations

12. Redis URL from Environment

const url = process.env.REDIS_URL || 'redis://localhost:6379';

This is standard practice. No security issues here, but ensure:

  • Redis is properly secured (authentication, network isolation)
  • Connections use TLS in production if Redis is remote

13. JSON Parsing without Validation (redisReceiver.ts:115)

const parsedValue = JSON.parse(value) as unknown;

No validation of the parsed value. If malicious data is injected into Redis, it will be returned as-is. Consider:

  • Schema validation if you control the data format
  • Error handling for invalid JSON

📋 Documentation & Style

14. API Change: close()destroy()

The rename from close() to destroy() better reflects the destructive nature. Good choice! The JSDoc could be more explicit about the irreversibility:

/**
 * Destroys the listener permanently, closing the connection and preventing further getValue calls.
 * This operation is irreversible - the listener cannot be reused after destroy() is called.
 */

15. Comment Clarity (redisReceiver.ts:32)

* @returns An object with a getValue function to get values by key and a close function

Should be updated to mention destroy instead of close.

🎯 Recommendations

High Priority:

  1. Fix the infinite loop issue in getValue() by ensuring proper promise rejection on timeout/destroy
  2. Add integration tests for listenToRequestData() function itself
  3. Fix the typo in the comment

Medium Priority:
4. Add error logging for connection and read failures
5. Consider making the timeout configurable
6. Clear maps in destroy() for complete cleanup

Low Priority:
7. Update JSDoc to reflect destroy() instead of close()
8. Document connection count expectations for high-concurrency scenarios

Conclusion

This is a solid refactor that meaningfully improves the codebase. The core issues it addresses (global state, memory leaks, race conditions) are real and important. The implementation is mostly sound, with a few areas that need attention (primarily the infinite loop handling).

Recommendation: Request changes for the critical issue (#1), then approve. The other issues can be addressed in follow-up PRs if needed.


Great work on this refactor! The architecture is much cleaner and safer. 🎉

@AbanoubGhadban AbanoubGhadban merged commit ffa5dd3 into master Nov 1, 2025
21 of 22 checks passed
@AbanoubGhadban AbanoubGhadban deleted the refactor/redis-receiver-local-state branch November 1, 2025 10:12
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Refactor redisReceiver to eliminate global state and prevent memory leaks

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