Fix critical issues: script loading, entity types, and color properties
- 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>
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336
automation_exec_examples.py
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336
automation_exec_examples.py
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#!/usr/bin/env python3
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"""
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Examples of automation patterns using the proposed --exec flag
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Usage:
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./mcrogueface game.py --exec automation_basic.py
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./mcrogueface game.py --exec automation_stress.py --exec monitor.py
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"""
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# ===== automation_basic.py =====
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# Basic automation that runs alongside the game
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import mcrfpy
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from mcrfpy import automation
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import time
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class GameAutomation:
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"""Automated testing that runs periodically"""
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def __init__(self):
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self.test_count = 0
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self.test_results = []
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def run_test_suite(self):
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"""Called by timer - runs one test per invocation"""
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test_name = f"test_{self.test_count}"
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try:
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if self.test_count == 0:
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# Test main menu
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self.test_main_menu()
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elif self.test_count == 1:
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# Test inventory
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self.test_inventory()
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elif self.test_count == 2:
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# Test combat
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self.test_combat()
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else:
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# All tests complete
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self.report_results()
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return
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self.test_results.append((test_name, "PASS"))
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except Exception as e:
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self.test_results.append((test_name, f"FAIL: {e}"))
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self.test_count += 1
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def test_main_menu(self):
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"""Test main menu interactions"""
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automation.screenshot("test_main_menu_before.png")
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automation.click(400, 300) # New Game button
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time.sleep(0.5)
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automation.screenshot("test_main_menu_after.png")
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def test_inventory(self):
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"""Test inventory system"""
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automation.hotkey("i") # Open inventory
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time.sleep(0.5)
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automation.screenshot("test_inventory_open.png")
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# Drag item
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automation.moveTo(100, 200)
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automation.dragTo(200, 200, duration=0.5)
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automation.hotkey("i") # Close inventory
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def test_combat(self):
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"""Test combat system"""
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# Move character
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automation.keyDown("w")
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time.sleep(0.5)
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automation.keyUp("w")
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# Attack
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automation.click(500, 400)
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automation.screenshot("test_combat.png")
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def report_results(self):
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"""Generate test report"""
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print("\n=== Automation Test Results ===")
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for test, result in self.test_results:
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print(f"{test}: {result}")
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print(f"Total: {len(self.test_results)} tests")
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# Stop the timer
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mcrfpy.delTimer("automation_suite")
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# Create automation instance and register timer
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auto = GameAutomation()
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mcrfpy.setTimer("automation_suite", auto.run_test_suite, 2000) # Run every 2 seconds
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print("Game automation started - tests will run every 2 seconds")
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# ===== automation_stress.py =====
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# Stress testing with random inputs
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import mcrfpy
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from mcrfpy import automation
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import random
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class StressTester:
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"""Randomly interact with the game to find edge cases"""
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def __init__(self):
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self.action_count = 0
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self.errors = []
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def random_action(self):
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"""Perform a random UI action"""
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try:
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action = random.choice([
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self.random_click,
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self.random_key,
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self.random_drag,
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self.random_hotkey
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])
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action()
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self.action_count += 1
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# Periodic screenshot
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if self.action_count % 50 == 0:
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automation.screenshot(f"stress_test_{self.action_count}.png")
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print(f"Stress test: {self.action_count} actions performed")
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except Exception as e:
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self.errors.append((self.action_count, str(e)))
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def random_click(self):
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x = random.randint(0, 1024)
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y = random.randint(0, 768)
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button = random.choice(["left", "right"])
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automation.click(x, y, button=button)
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def random_key(self):
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key = random.choice([
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"a", "b", "c", "d", "w", "s",
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"space", "enter", "escape",
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"1", "2", "3", "4", "5"
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])
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automation.keyDown(key)
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automation.keyUp(key)
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def random_drag(self):
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x1 = random.randint(0, 1024)
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y1 = random.randint(0, 768)
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x2 = random.randint(0, 1024)
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y2 = random.randint(0, 768)
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automation.moveTo(x1, y1)
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automation.dragTo(x2, y2, duration=0.2)
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def random_hotkey(self):
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modifier = random.choice(["ctrl", "alt", "shift"])
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key = random.choice(["a", "s", "d", "f"])
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automation.hotkey(modifier, key)
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# Create stress tester and run frequently
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stress = StressTester()
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mcrfpy.setTimer("stress_test", stress.random_action, 100) # Every 100ms
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print("Stress testing started - random actions every 100ms")
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# ===== monitor.py =====
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# Performance and state monitoring
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import mcrfpy
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from mcrfpy import automation
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import json
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import time
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class PerformanceMonitor:
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"""Monitor game performance and state"""
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def __init__(self):
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self.samples = []
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self.start_time = time.time()
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def collect_sample(self):
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"""Collect performance data"""
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sample = {
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"timestamp": time.time() - self.start_time,
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"fps": mcrfpy.getFPS() if hasattr(mcrfpy, 'getFPS') else 60,
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"scene": mcrfpy.currentScene(),
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"memory": self.estimate_memory_usage()
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}
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self.samples.append(sample)
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# Log every 10 samples
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if len(self.samples) % 10 == 0:
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avg_fps = sum(s["fps"] for s in self.samples[-10:]) / 10
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print(f"Average FPS (last 10 samples): {avg_fps:.1f}")
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# Save data every 100 samples
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if len(self.samples) % 100 == 0:
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self.save_report()
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def estimate_memory_usage(self):
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"""Estimate memory usage based on scene complexity"""
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# This is a placeholder - real implementation would use psutil
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ui_count = len(mcrfpy.sceneUI(mcrfpy.currentScene()))
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return ui_count * 1000 # Rough estimate in KB
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def save_report(self):
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"""Save performance report"""
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with open("performance_report.json", "w") as f:
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json.dump({
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"samples": self.samples,
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"summary": {
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"total_samples": len(self.samples),
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"duration": time.time() - self.start_time,
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"avg_fps": sum(s["fps"] for s in self.samples) / len(self.samples)
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}
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}, f, indent=2)
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print(f"Performance report saved ({len(self.samples)} samples)")
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# Create monitor and start collecting
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monitor = PerformanceMonitor()
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mcrfpy.setTimer("performance_monitor", monitor.collect_sample, 1000) # Every second
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print("Performance monitoring started - sampling every second")
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# ===== automation_replay.py =====
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# Record and replay user actions
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import mcrfpy
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from mcrfpy import automation
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import json
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import time
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class ActionRecorder:
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"""Record user actions for replay"""
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def __init__(self):
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self.recording = False
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self.actions = []
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self.start_time = None
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def start_recording(self):
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"""Start recording user actions"""
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self.recording = True
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self.actions = []
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self.start_time = time.time()
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print("Recording started - perform actions to record")
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# Register callbacks for all input types
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mcrfpy.registerPyAction("record_click", self.record_click)
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mcrfpy.registerPyAction("record_key", self.record_key)
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# Map all mouse buttons
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for button in range(3):
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mcrfpy.registerInputAction(8192 + button, "record_click")
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# Map common keys
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for key in range(256):
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mcrfpy.registerInputAction(4096 + key, "record_key")
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def record_click(self, action_type):
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"""Record mouse click"""
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if not self.recording or action_type != "start":
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return
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pos = automation.position()
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self.actions.append({
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"type": "click",
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"time": time.time() - self.start_time,
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"x": pos[0],
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"y": pos[1]
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})
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def record_key(self, action_type):
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"""Record key press"""
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if not self.recording or action_type != "start":
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return
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# This is simplified - real implementation would decode the key
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self.actions.append({
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"type": "key",
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"time": time.time() - self.start_time,
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"key": "unknown"
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})
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def stop_recording(self):
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"""Stop recording and save"""
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self.recording = False
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with open("recorded_actions.json", "w") as f:
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json.dump(self.actions, f, indent=2)
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print(f"Recording stopped - {len(self.actions)} actions saved")
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def replay_actions(self):
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"""Replay recorded actions"""
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print("Replaying recorded actions...")
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with open("recorded_actions.json", "r") as f:
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actions = json.load(f)
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start_time = time.time()
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action_index = 0
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def replay_next():
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nonlocal action_index
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if action_index >= len(actions):
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print("Replay complete")
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mcrfpy.delTimer("replay")
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return
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action = actions[action_index]
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current_time = time.time() - start_time
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# Wait until it's time for this action
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if current_time >= action["time"]:
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if action["type"] == "click":
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automation.click(action["x"], action["y"])
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elif action["type"] == "key":
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automation.keyDown(action["key"])
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automation.keyUp(action["key"])
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action_index += 1
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mcrfpy.setTimer("replay", replay_next, 10) # Check every 10ms
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# Example usage - would be controlled by UI
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recorder = ActionRecorder()
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# To start recording:
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# recorder.start_recording()
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# To stop and save:
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# recorder.stop_recording()
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# To replay:
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# recorder.replay_actions()
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print("Action recorder ready - call recorder.start_recording() to begin")
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