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# input_handler/input_processor.py
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from PyQt5.QtCore import QObject, pyqtSignal
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from typing import Optional
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class InputProcessor(QObject):
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# 定义信号
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text_changed = pyqtSignal(str) # 文本变化信号
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key_pressed = pyqtSignal(str) # 按键按下信号
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input_completed = pyqtSignal() # 输入完成信号
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def __init__(self):
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super().__init__()
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# 实现构造函数逻辑
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# 1. 初始化输入缓冲区
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self.input_buffer = ""
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# 2. 设置初始状态
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self.is_input_active = False
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# 3. 初始化相关属性
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self.expected_text = ""
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self.current_position = 0
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def process_key_event(self, key: str) -> bool:
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# 实现按键事件处理逻辑
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# 1. 检查按键是否有效
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if not key:
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return False
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# 2. 根据按键类型处理（字符、功能键等）
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# 3. 更新输入缓冲区
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self.input_buffer += key
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self.current_position += 1
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# 4. 发送text_changed信号
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self.text_changed.emit(key)
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# 5. 检查是否完成输入，如是则发送input_completed信号
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if self.expected_text and self.input_buffer == self.expected_text:
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self.input_completed.emit()
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# 6. 返回处理结果
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return True
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def get_current_input(self) -> str:
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# 实现获取当前输入逻辑
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# 1. 返回输入缓冲区内容
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return self.input_buffer
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def reset_input(self):
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# 实现输入重置逻辑
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# 1. 清空输入缓冲区
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self.input_buffer = ""
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# 2. 重置相关状态变量
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self.current_position = 0
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self.is_input_active = False
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# 3. 发送重置信号（如需要）
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def set_expected_text(self, text: str):
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# 实现设置期望文本逻辑
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# 1. 保存期望文本
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self.expected_text = text
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# 2. 初始化匹配相关状态
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self.current_position = 0
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self.input_buffer = ""
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self.is_input_active = True
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class InputValidator:
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def __init__(self):
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# 实现构造函数逻辑
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# 1. 初始化验证规则
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self.case_sensitive = True
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# 2. 设置默认验证参数
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self.min_accuracy = 0.0
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def validate_character(self, input_char: str, expected_char: str) -> bool:
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# 实现字符验证逻辑
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# 1. 比较输入字符与期望字符
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# 2. 考虑大小写敏感性设置
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if self.case_sensitive:
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return input_char == expected_char
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else:
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return input_char.lower() == expected_char.lower()
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# 3. 返回验证结果
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def validate_word(self, input_word: str, expected_word: str) -> dict:
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# 实现单词验证逻辑
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# 1. 逐字符比较输入单词与期望单词
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correct_count = 0
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incorrect_count = 0
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total_chars = max(len(input_word), len(expected_word))
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# 2. 统计正确/错误字符数
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for i in range(total_chars):
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input_char = input_word[i] if i < len(input_word) else ""
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expected_char = expected_word[i] if i < len(expected_word) else ""
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if self.validate_character(input_char, expected_char):
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correct_count += 1
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else:
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incorrect_count += 1
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# 3. 计算准确率
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accuracy = correct_count / total_chars if total_chars > 0 else 0.0
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# 4. 返回验证结果字典
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return {
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"correct_count": correct_count,
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"incorrect_count": incorrect_count,
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"total_chars": total_chars,
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"accuracy": accuracy
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}
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def calculate_accuracy(self, input_text: str, expected_text: str) -> float:
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# 实现准确率计算逻辑
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# 1. 比较输入文本与期望文本
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# 2. 统计正确字符数
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correct_count = 0
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total_chars = max(len(input_text), len(expected_text))
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if total_chars == 0:
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return 1.0 # 两个空字符串认为是完全匹配
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for i in range(total_chars):
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input_char = input_text[i] if i < len(input_text) else ""
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expected_char = expected_text[i] if i < len(expected_text) else ""
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if self.validate_character(input_char, expected_char):
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correct_count += 1
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# 3. 计算准确率百分比
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accuracy = correct_count / total_chars
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# 4. 返回准确率
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return accuracy |
