John McCardle
e5affaf317
- Issue #37: Fix Windows scripts subdirectory not checked - Updated executeScript() to use executable_path() from platform.h - Scripts now load correctly when working directory differs from executable - Issue #76: Fix UIEntityCollection returns wrong type - Updated UIEntityCollectionIter::next() to check for stored Python object - Derived Entity classes now preserve their type when retrieved from collections - Issue #9: Recreate RenderTexture when resized (already fixed) - Confirmed RenderTexture recreation already implemented in set_size() and set_float_member() - Uses 1.5x padding and 4096 max size limit - Issue #79: Fix Color r, g, b, a properties return None - Implemented get_member() and set_member() in PyColor.cpp - Color component properties now work correctly with proper validation - Additional fix: Grid.at() method signature - Changed from METH_O to METH_VARARGS to accept two arguments All fixes include comprehensive tests to verify functionality. closes #37, closes #76, closes #9, closes #79 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
69 lines
No EOL
2.5 KiB
Python
69 lines
No EOL
2.5 KiB
Python
#!/usr/bin/env python3
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"""
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Example monitoring script that works alongside automation
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Usage: ./mcrogueface game.py --exec example_automation.py --exec example_monitoring.py
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"""
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import mcrfpy
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import time
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class PerformanceMonitor:
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def __init__(self):
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self.start_time = time.time()
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self.frame_samples = []
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self.scene_changes = []
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self.last_scene = None
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print("Monitor: Performance monitoring initialized")
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def collect_metrics(self):
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"""Collect performance and state metrics"""
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current_frame = mcrfpy.getFrame()
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current_time = time.time() - self.start_time
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current_scene = mcrfpy.currentScene()
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# Track frame rate
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if len(self.frame_samples) > 0:
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last_frame, last_time = self.frame_samples[-1]
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fps = (current_frame - last_frame) / (current_time - last_time)
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print(f"Monitor: FPS = {fps:.1f}")
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self.frame_samples.append((current_frame, current_time))
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# Track scene changes
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if current_scene != self.last_scene:
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print(f"Monitor: Scene changed from '{self.last_scene}' to '{current_scene}'")
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self.scene_changes.append((current_time, self.last_scene, current_scene))
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self.last_scene = current_scene
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# Keep only last 100 samples
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if len(self.frame_samples) > 100:
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self.frame_samples = self.frame_samples[-100:]
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def generate_report(self):
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"""Generate a summary report"""
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if len(self.frame_samples) < 2:
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return
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total_frames = self.frame_samples[-1][0] - self.frame_samples[0][0]
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total_time = self.frame_samples[-1][1] - self.frame_samples[0][1]
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avg_fps = total_frames / total_time
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print("\n=== Performance Report ===")
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print(f"Monitor: Total time: {total_time:.1f} seconds")
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print(f"Monitor: Total frames: {total_frames}")
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print(f"Monitor: Average FPS: {avg_fps:.1f}")
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print(f"Monitor: Scene changes: {len(self.scene_changes)}")
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# Stop monitoring
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mcrfpy.delTimer("performance_monitor")
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# Create monitor instance
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monitor = PerformanceMonitor()
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# Register monitoring timer (runs every 500ms)
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mcrfpy.setTimer("performance_monitor", monitor.collect_metrics, 500)
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# Register report generation (runs after 30 seconds)
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mcrfpy.setTimer("performance_report", monitor.generate_report, 30000)
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print("Monitor: Script loaded - collecting metrics every 500ms")
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print("Monitor: Will generate report after 30 seconds") |