Distributed Task Queue & Concurrency Monitor

An asynchronous, thread-safe distributed task runner engineered to ingest, allocate, and execute workloads across an isolated background worker thread pool, paired with a real-time tracking dashboard.

---

🚀 Key Features

• Thread-Safe Concurrency Control: Implements a synchronized FIFO queue architecture in Python to guarantee safe task distribution across multiple background worker threads without race conditions or memory leaks.
• Fault-Tolerant State Machine: Outfitted with an automated error-interception and contextual retry loop that handles processing drops gracefully, ensuring zero core system crashes even during simulated runtime failures.
• Real-Time Visual Monitoring: Driven by an optimized HTTP short-polling data lifecycle built into a decoupled React frontend to reflect instantaneous status transitions (Pending → Running → Completed/Retrying).
• Clean System Sandboxing: Deployed utilizing isolated virtual execution environments (venv) to securely bypass external system package constraints while maintaining a strict boundary between API layers.

---

🏗️ System Architecture

    [ React Dashboard (Port 5173) ]
                 │
                 │ (HTTP Short-Polling / JSON)
                 ▼
     [ Flask API Gateway (Port 5000) ]
                 │
                 ▼  (Thread-Safe Push)
       [ Synchronized FIFO Queue ]
                 │
                 ├───────▶ [ Worker Thread 1 ] ──▶ Task Processing Loop
                 ├───────▶ [ Worker Thread 2 ] ──▶ Fault/Retry Interception
                 └───────▶ [ Worker Thread 3 ] ──▶ State Updates