- Add database migrations (006-028) for face recognition, identity, file_uuid - Add test scripts for ASR, face, search, processing - Add portal frontend (Tauri) - Add config, benchmark, and monitoring utilities - Add model checkpoints and pretrained model references
186 lines
5.6 KiB
Python
186 lines
5.6 KiB
Python
#!/opt/homebrew/bin/python3.11
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"""Quick performance test for ASR processor."""
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import subprocess
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import tempfile
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import os
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import time
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import sys
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import json
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import statistics
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def test_small_video():
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"""Test with small video to establish baseline."""
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test_video = "/Users/accusys/test_video/BigBuckBunny_320x180.mp4"
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if not os.path.exists(test_video):
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print(f"Small test video not found: {test_video}")
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return None
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print(f"Testing small video: {os.path.basename(test_video)}")
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runs = 3
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times = []
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for run in range(runs):
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with tempfile.NamedTemporaryFile(suffix=".json", delete=False) as f:
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output_path = f.name
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try:
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cmd = [
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"/opt/homebrew/bin/python3.11",
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"scripts/asr_processor.py",
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test_video,
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output_path,
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"--chunk-duration",
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"600",
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]
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env = os.environ.copy()
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env["MOMENTRY_DISABLE_REDIS"] = "1"
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start = time.time()
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result = subprocess.run(
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cmd,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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text=True,
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env=env,
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)
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elapsed = time.time() - start
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if result.returncode == 0:
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times.append(elapsed)
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print(f" Run {run + 1}: {elapsed:.1f}s")
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else:
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print(f" Run {run + 1}: failed (code {result.returncode})")
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except Exception as e:
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print(f" Run {run + 1}: error: {e}")
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finally:
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if os.path.exists(output_path):
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os.unlink(output_path)
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if times:
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avg = statistics.mean(times)
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stdev = statistics.stdev(times) if len(times) > 1 else 0
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print(f"\nResults: {len(times)} successful runs")
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print(f" Average: {avg:.1f}s")
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print(f" Std dev: {stdev:.1f}s")
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print(f" Range: {min(times):.1f}s - {max(times):.1f}s")
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return avg
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else:
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print("\nNo successful runs")
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return None
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def test_with_checkpoint():
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"""Test checkpoint functionality."""
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test_video = "/Users/accusys/test_video/BigBuckBunny_320x180.mp4"
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if not os.path.exists(test_video):
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print(f"Test video not found: {test_video}")
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return
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print(f"\nTesting checkpoint functionality...")
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# Force chunked mode with small max_direct_duration
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with tempfile.NamedTemporaryFile(suffix=".json", delete=False) as f:
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output_path = f.name
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try:
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cmd = [
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"/opt/homebrew/bin/python3.11",
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"scripts/asr_processor.py",
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test_video,
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output_path,
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"--chunk-duration",
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"30", # Small chunks for testing
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"--max-direct-duration",
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"1", # Force chunked mode
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]
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env = os.environ.copy()
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env["MOMENTRY_DISABLE_REDIS"] = "1"
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env["ASR_DEBUG"] = "1"
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print(f"Running with forced chunked mode...")
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start = time.time()
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result = subprocess.run(
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cmd,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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text=True,
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env=env,
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timeout=60,
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)
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elapsed = time.time() - start
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print(f" Time: {elapsed:.1f}s")
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print(f" Return code: {result.returncode}")
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# Check for checkpoint file
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checkpoint_path = output_path + ".checkpoint"
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if os.path.exists(checkpoint_path):
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print(
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f" Checkpoint file created: Yes ({os.path.getsize(checkpoint_path)} bytes)"
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)
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# Load and inspect checkpoint
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try:
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with open(checkpoint_path, "r") as f:
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checkpoint = json.load(f)
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print(
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f" Checkpoint contains: {len(checkpoint.get('segments', []))} segments"
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)
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print(
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f" Processed chunks: {len(checkpoint.get('processed_chunks', []))}"
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)
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except Exception as e:
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print(f" Failed to read checkpoint: {e}")
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else:
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print(f" Checkpoint file created: No")
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# Check if checkpoint was cleaned up after completion
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# (should be cleaned up if processing completed)
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if result.returncode == 0:
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if not os.path.exists(checkpoint_path):
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print(f" Checkpoint cleaned up after completion: Yes")
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else:
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print(f" Checkpoint cleaned up after completion: No (still exists)")
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except subprocess.TimeoutExpired:
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print(f" Timeout after 60 seconds")
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except Exception as e:
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print(f" Error: {e}")
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finally:
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if os.path.exists(output_path):
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os.unlink(output_path)
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checkpoint_path = output_path + ".checkpoint"
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if os.path.exists(checkpoint_path):
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os.unlink(checkpoint_path)
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if __name__ == "__main__":
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print("ASR Processor Quick Performance Test")
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print("=" * 60)
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# Baseline performance
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baseline = test_small_video()
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# Checkpoint test
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test_with_checkpoint()
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print("\n" + "=" * 60)
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if baseline:
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print(f"Baseline performance: {baseline:.1f}s")
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# Compare with previous baseline (~18.9s from earlier test)
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previous_baseline = 18.9
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change = ((baseline - previous_baseline) / previous_baseline) * 100
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print(f"Change from previous: {change:+.1f}%")
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if change <= 5:
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print("✅ Within 5% overhead limit")
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else:
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print(f"⚠️ Overhead exceeds 5% limit")
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print("\nCheckpoint functionality appears to be integrated.")
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