Refactor cockpit to use DockerTmuxController pattern
Based on claude-code-tools TmuxCLIController, this refactor: - Added DockerTmuxController class for robust tmux session management - Implements send_keys() with configurable delay_enter - Implements capture_pane() for output retrieval - Implements wait_for_prompt() for pattern-based completion detection - Implements wait_for_idle() for content-hash-based idle detection - Implements wait_for_shell_prompt() for shell prompt detection Also includes workflow improvements: - Pre-task git snapshot before agent execution - Post-task commit protocol in agent guidelines Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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admin
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examples/demo_concurrent_tasks.py
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examples/demo_concurrent_tasks.py
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#!/usr/bin/env python3
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"""
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Demo: Concurrent Task Management with Responsive Dispatcher
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This demonstrates:
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1. Dispatching multiple tasks concurrently
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2. Non-blocking task dispatch (returns immediately)
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3. Monitoring multiple jobs independently
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4. Live status updates without blocking
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5. Pretty-printed feedback
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"""
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import sys
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import time
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from pathlib import Path
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# Add lib to path
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lib_path = Path(__file__).parent.parent / "lib"
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sys.path.insert(0, str(lib_path))
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from dispatcher_enhancements import EnhancedDispatcher
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from cli_feedback import Colors, ProgressBar
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def demo_concurrent_dispatch():
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"""Demo 1: Dispatch multiple tasks quickly"""
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print(f"\n{Colors.BOLD}{Colors.CYAN}=== Demo 1: Concurrent Task Dispatch ==={Colors.RESET}\n")
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print("Dispatching 5 tasks across different projects...\n")
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enhanced = EnhancedDispatcher()
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tasks = [
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("overbits", "fix the login button and add dark mode"),
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("musica", "analyze audio waveform and optimize performance"),
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("dss", "verify digital signature chain of custody"),
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("librechat", "implement chat message search functionality"),
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("admin", "update all system dependencies and run security scan"),
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]
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job_ids = []
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start_time = time.time()
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# Dispatch all tasks
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for project, task in tasks:
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print(f"Dispatching: {project}")
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job_id, status = enhanced.dispatch_and_report(
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project, task, show_details=False, show_feedback=False
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)
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print(f" → {job_id}")
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job_ids.append((job_id, project))
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elapsed = time.time() - start_time
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print(f"\n{Colors.GREEN}✓ All tasks dispatched in {elapsed:.2f}s{Colors.RESET}")
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print(f" (No blocking - all jobs are running concurrently)\n")
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return enhanced, job_ids
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def demo_status_polling(enhanced, job_ids):
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"""Demo 2: Poll status without blocking"""
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print(f"\n{Colors.BOLD}{Colors.CYAN}=== Demo 2: Non-Blocking Status Polling ==={Colors.RESET}\n")
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print("Checking status of all jobs (instantly, no blocking):\n")
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for job_id, project in job_ids:
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status = enhanced.dispatcher.get_status(job_id, use_cache=False)
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if status:
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enhanced.feedback.show_status_line(status)
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print()
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def demo_concurrent_monitoring(enhanced, job_ids):
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"""Demo 3: Monitor multiple jobs independently"""
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print(f"\n{Colors.BOLD}{Colors.CYAN}=== Demo 3: Independent Job Monitoring ==={Colors.RESET}\n")
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# Simulate progress updates
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print("Simulating job execution with progress updates:\n")
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progress_stages = [
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(5, "Initializing agent"),
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(10, "Setting up environment"),
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(25, "Loading dependencies"),
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(50, "Processing request"),
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(75, "Applying changes"),
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(90, "Running validation"),
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]
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for job_id, project in job_ids:
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# Update progress for each job
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for progress, message in progress_stages:
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enhanced.dispatcher.update_status(job_id, "running", progress, message)
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# Mark as completed
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enhanced.dispatcher.update_status(
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job_id, "completed", 100, "Task completed successfully", exit_code=0
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)
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# Now display all jobs
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jobs = enhanced.dispatcher.list_jobs()
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print(f"All jobs updated. Current status:\n")
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for job in jobs[:5]: # Show first 5
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enhanced.feedback.show_status(job)
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def demo_list_all_jobs(enhanced):
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"""Demo 4: List all jobs"""
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print(f"\n{Colors.BOLD}{Colors.CYAN}=== Demo 4: List All Jobs ==={Colors.RESET}\n")
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enhanced.show_jobs_summary()
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def demo_concurrent_summary(enhanced):
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"""Demo 5: Show concurrent job summary"""
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print(f"\n{Colors.BOLD}{Colors.CYAN}=== Demo 5: Concurrent Job Summary ==={Colors.RESET}\n")
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enhanced.show_concurrent_summary()
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def demo_performance_metrics():
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"""Demo 6: Show performance metrics"""
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print(f"\n{Colors.BOLD}{Colors.CYAN}=== Demo 6: Performance Metrics ==={Colors.RESET}\n")
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from responsive_dispatcher import ResponseiveDispatcher
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print("Dispatch Performance (100 tasks):\n")
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dispatcher = ResponseiveDispatcher()
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# Time 100 dispatches
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start = time.time()
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for i in range(100):
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dispatcher.dispatch_task(f"proj{i % 5}", f"task_{i}")
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elapsed = time.time() - start
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avg_dispatch_time = (elapsed * 1000) / 100 # ms
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print(f" Total time: {elapsed:.3f}s")
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print(f" Tasks: 100")
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print(f" Avg per task: {avg_dispatch_time:.2f}ms")
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print(f" Throughput: {100 / elapsed:.0f} tasks/second")
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# Status retrieval performance
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jobs = dispatcher.list_jobs()
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job_id = jobs[0]["id"] if jobs else None
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if job_id:
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print(f"\nStatus Retrieval Performance:\n")
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# Cached reads
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start = time.time()
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for _ in range(1000):
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dispatcher.get_status(job_id, use_cache=True)
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cached_time = time.time() - start
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# Fresh reads
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start = time.time()
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for _ in range(1000):
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dispatcher.get_status(job_id, use_cache=False)
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fresh_time = time.time() - start
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print(f" Cached reads (1000x): {cached_time * 1000:.2f}ms ({cached_time/1000*1000:.2f}µs each)")
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print(f" Fresh reads (1000x): {fresh_time * 1000:.2f}ms ({fresh_time/1000*1000:.2f}µs each)")
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def main():
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"""Run all demos"""
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print(f"\n{Colors.BOLD}{Colors.CYAN}Luzia Responsive Dispatcher - Live Demo{Colors.RESET}")
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print(f"{Colors.GRAY}Non-blocking task dispatch with concurrent management{Colors.RESET}")
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try:
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# Demo 1: Concurrent dispatch
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enhanced, job_ids = demo_concurrent_dispatch()
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# Demo 2: Status polling
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demo_status_polling(enhanced, job_ids)
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# Demo 3: Concurrent monitoring
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demo_concurrent_monitoring(enhanced, job_ids)
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# Demo 4: List jobs
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demo_list_all_jobs(enhanced)
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# Demo 5: Concurrent summary
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demo_concurrent_summary(enhanced)
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# Demo 6: Performance metrics
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demo_performance_metrics()
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print(f"\n{Colors.GREEN}{Colors.BOLD}✓ Demo completed successfully!{Colors.RESET}\n")
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return 0
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except Exception as e:
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print(f"\n{Colors.RED}✗ Demo failed: {e}{Colors.RESET}\n")
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import traceback
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traceback.print_exc()
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return 1
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if __name__ == "__main__":
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sys.exit(main())
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