1. (中繼的存檔) 準備對 mavlinkObject.py 的 mavlink_object 重構
2. 新增 ringBuffer.py 作為 queue 取代 3. 新增 tests 資料夾分離程式與測試檔案 4. asyncioManager.py 是參考用的範例chiyu
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import os
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import sys
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sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
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import time
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import threading
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from fc_network_adapter.ringBuffer import RingBuffer
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def producer(buffer, count, interval=0.01):
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"""生產者：向緩衝區添加資料"""
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print(f"Producer started (thread {threading.get_ident()})")
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for i in range(count):
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# 嘗試寫入數據，直到成功
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while not buffer.put(f"Item-{i}"):
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print(f"Buffer full, producer waiting... (thread {threading.get_ident()})")
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time.sleep(0.1)
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print(f"Produced: Item-{i}, buffer size: {buffer.size()}")
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time.sleep(interval) # 模擬生產過程
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print(f"Producer finished (thread {threading.get_ident()})")
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def consumer(buffer, max_items, interval=0.05):
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"""消費者：從緩衝區讀取資料"""
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print(f"Consumer started (thread {threading.get_ident()})")
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items_consumed = 0
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while items_consumed < max_items:
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# 嘗試讀取數據
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item = buffer.get()
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if item:
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print(f"Consumed: {item}, buffer size: {buffer.size()}")
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items_consumed += 1
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else:
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print(f"Buffer empty, consumer waiting... (thread {threading.get_ident()})")
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time.sleep(interval) # 模擬消費過程
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print(f"Consumer finished (thread {threading.get_ident()})")
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def batch_consumer(buffer, interval=0.2):
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"""批量消費者：一次性讀取緩衝區中的所有資料"""
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print(f"Batch consumer started (thread {threading.get_ident()})")
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for _ in range(5): # 執行5次批量讀取
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time.sleep(interval) # 等待緩衝區積累數據
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items = buffer.get_all()
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if items:
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print(f"Batch consumed {len(items)} items: {items}")
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else:
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print("Buffer empty for batch consumer")
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print(f"Batch consumer finished (thread {threading.get_ident()})")
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def demonstrate_multi_writer():
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"""示範多個寫入執行緒同時操作緩衝區"""
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print("\n=== Demonstrating Multiple Writers ===")
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buffer = RingBuffer(capacity=80)
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# 創建多個生產者執行緒
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threads = []
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for i in range(3):
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thread = threading.Thread(target=producer, args=(buffer, 5, 0.1 * (i+1)))
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threads.append(thread)
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thread.start()
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# 等待所有執行緒完成
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for thread in threads:
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thread.join()
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buffer.print_stats() # 印出統計資訊
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# 讀出所有剩餘資料
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remaining = buffer.get_all()
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print(f"Remaining items in buffer after multiple writers: {remaining}")
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def demonstrate_basic_usage():
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"""示範基本使用方式"""
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print("\n=== Demonstrating Basic Usage ===")
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# 創建緩衝區
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buffer = RingBuffer(capacity=20, buffer_id=7)
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# 檢查初始狀態
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print(f"Initial buffer state - Empty: {buffer.is_empty()}, Full: {buffer.is_full()}, Content Size: {buffer.size()}")
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# 添加幾個項目
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for i in range(5):
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buffer.put(f"Test-{i}")
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# 檢查狀態
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print(f"After adding 5 items - Empty: {buffer.is_empty()}, Full: {buffer.is_full()}, Content Size: {buffer.size()}")
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# 讀取一個項目
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item = buffer.get()
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print(f"Read item: {item}")
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print(f"After reading 1 item - Content Size: {buffer.size()}")
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# 添加更多項目直到滿
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items_added = 0
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while not buffer.is_full():
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buffer.put(f"Fill-{items_added}")
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items_added += 1
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print(f"Added {items_added} more items until full")
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print(f"Buffer full state - Empty: {buffer.is_empty()}, Full: {buffer.is_full()}, Content Size: {buffer.size()}")
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# 嘗試添加到已滿的緩衝區
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result = buffer.put("Overflow")
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print(f"Attempt to add to full buffer: {'Succeeded' if result else 'Failed'}")
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# 獲取所有項目
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all_items = buffer.get_all()
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print(f"All items in buffer: {all_items}")
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print(f"Buffer after get_all() - Empty: {buffer.is_empty()}, Content Size: {buffer.size()}")
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# 印出統計資訊
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buffer.print_stats()
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def demonstrate_producer_consumer():
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"""示範生產者-消費者模式"""
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print("\n=== Demonstrating Producer-Consumer Pattern ===")
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buffer = RingBuffer(capacity=16)
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# 創建生產者和消費者執行緒
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producer_thread = threading.Thread(target=producer, args=(buffer, 20, 0.1))
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consumer_thread = threading.Thread(target=consumer, args=(buffer, 3, 0.2))
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batch_thread = threading.Thread(target=batch_consumer, args=(buffer, 0.5))
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# 啟動執行緒
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producer_thread.start()
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consumer_thread.start()
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batch_thread.start()
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# 等待執行緒完成
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producer_thread.join()
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consumer_thread.join()
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batch_thread.join()
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# 檢查最終狀態
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print(f"Final buffer state - Empty: {buffer.is_empty()}, Size: {buffer.size()}")
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buffer.print_stats()
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if __name__ == "__main__":
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# 展示各種使用場景
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# demonstrate_basic_usage()
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# demonstrate_producer_consumer()
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demonstrate_multi_writer()
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print("\nAll demonstrations completed!")
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