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alpinebits_python/SOLUTION_SUMMARY.md
2025-10-15 10:07:42 +02:00

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Multi-Worker Deployment Solution Summary

Problem

When running FastAPI with uvicorn --workers 4, the lifespan function executes in all 4 worker processes, causing:

  • Duplicate email notifications (4x emails sent)
  • Multiple schedulers running simultaneously
  • Race conditions in database operations

Root Cause

Your original implementation tried to detect the primary worker using:

multiprocessing.current_process().name == "MainProcess"

This doesn't work because with uvicorn --workers N, each worker is a separate process with its own name, and none are reliably named "MainProcess".

Solution Implemented

File-Based Worker Locking

We implemented a file-based locking mechanism that ensures only ONE worker runs singleton services:

# worker_coordination.py
class WorkerLock:
    """Uses fcntl.flock() to coordinate workers across processes"""

    def acquire(self) -> bool:
        """Try to acquire exclusive lock - only one process succeeds"""
        fcntl.flock(self.lock_fd.fileno(), fcntl.LOCK_EX | fcntl.LOCK_NB)

Updated Lifespan Function

async def lifespan(app: FastAPI):
    # File-based lock ensures only one worker is primary
    is_primary, worker_lock = is_primary_worker()

    if is_primary:
        # ✓ Start email scheduler (ONCE)
        # ✓ Run database migrations (ONCE)
        # ✓ Start background tasks (ONCE)
    else:
        # Skip singleton services
        pass

    # All workers handle HTTP requests normally
    yield

    # Release lock on shutdown
    if worker_lock:
        worker_lock.release()

How It Works

uvicorn --workers 4
    │
    ├─ Worker 0 → tries lock → ✓ SUCCESS → PRIMARY (runs schedulers)
    ├─ Worker 1 → tries lock → ✗ BUSY    → SECONDARY (handles requests)
    ├─ Worker 2 → tries lock → ✗ BUSY    → SECONDARY (handles requests)
    └─ Worker 3 → tries lock → ✗ BUSY    → SECONDARY (handles requests)

Verification

Test Results

$ uv run python test_worker_coordination.py

Worker 0 (PID 30773): ✓ I am PRIMARY
Worker 1 (PID 30774): ✗ I am SECONDARY
Worker 2 (PID 30775): ✗ I am SECONDARY
Worker 3 (PID 30776): ✗ I am SECONDARY
✓ Test complete: Only ONE worker should have been PRIMARY

All Tests Pass

$ uv run pytest tests/ -v
======================= 120 passed, 23 warnings in 1.96s =======================

Files Modified

  1. worker_coordination.py (NEW)

    • WorkerLock class with fcntl file locking
    • is_primary_worker() function for easy integration
  2. api.py (MODIFIED)

    • Import is_primary_worker from worker_coordination
    • Replace manual worker detection with file-based locking
    • Use is_primary flag to conditionally start schedulers
    • Release lock on shutdown

Advantages of This Solution

No external dependencies - uses standard library fcntl Automatic failover - if primary crashes, lock is auto-released Works with any ASGI server - uvicorn, gunicorn, hypercorn Simple and reliable - battle-tested Unix file locking No race conditions - atomic lock acquisition Production-ready - handles edge cases gracefully

Usage

Development (Single Worker)

uvicorn alpine_bits_python.api:app --reload
# Single worker becomes primary automatically

Production (Multiple Workers)

uvicorn alpine_bits_python.api:app --workers 4
# Worker that starts first becomes primary
# Others become secondary workers

Check Logs

[INFO] Worker startup: process=SpawnProcess-1, pid=1001, primary=True
[INFO] Worker startup: process=SpawnProcess-2, pid=1002, primary=False
[INFO] Worker startup: process=SpawnProcess-3, pid=1003, primary=False
[INFO] Worker startup: process=SpawnProcess-4, pid=1004, primary=False
[INFO] Daily report scheduler started  # ← Only on primary!

What This Fixes

Issue Before After
Email notifications Sent 4x (one per worker) Sent 1x (only primary)
Daily report scheduler 4 schedulers running 1 scheduler running
Customer hashing Race condition across workers Only primary hashes
Startup logs Confusing worker detection Clear primary/secondary status

Alternative Approaches Considered

Environment Variables

ALPINEBITS_PRIMARY_WORKER=true uvicorn app:app

Problem: Manual configuration, no automatic failover

Process Name Detection

multiprocessing.current_process().name == "MainProcess"

Problem: Unreliable with uvicorn's worker processes

Redis-Based Locking

redis.lock.Lock(redis_client, "primary_worker")

When to use: Multi-container deployments (Docker Swarm, Kubernetes)

Recommendations

For Single-Host Deployments (Your Case)

Use the file-based locking solution (implemented)

For Multi-Container Deployments

Consider Redis-based locks if deploying across multiple containers/hosts:

# In worker_coordination.py, add Redis option
def is_primary_worker(use_redis=False):
    if use_redis:
        return redis_based_lock()
    else:
        return file_based_lock()  # Current implementation

Conclusion

Your FastAPI application now correctly handles multiple workers:

  • Only one worker runs singleton services (schedulers, migrations)
  • All workers handle HTTP requests concurrently
  • No duplicate email notifications
  • No race conditions in database operations
  • Automatic failover if primary worker crashes

Result: You get the performance benefits of multiple workers WITHOUT the duplicate notification problem! 🎉