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65 lines
1.7 KiB
65 lines
1.7 KiB
from cppy.cp_util import *
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from collections import Counter
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from heapq import nlargest
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import re
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class Pipeline:
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def __init__(self):
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pass
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def __or__(self, other):
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class PipelineComposition(Pipeline):
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def __init__(self, first, second):
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self.first = first
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self.second = second
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def process(self, data):
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return self.second.process(self.first.process(data))
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return PipelineComposition(self, other)
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def process(self, data):
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raise NotImplementedError
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class FileReader(Pipeline):
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def __init__(self, filename):
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super().__init__()
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self.filename = filename
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def process(self):
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with open(self.filename, 'r', encoding='utf-8') as file:
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content = file.read()
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return content
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class WordFrequencyCounter(Pipeline):
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def process(self, text):
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words = re.findall(r'\w+', text.lower())
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word_freq = Counter(words)
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return word_freq
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class TopNFilter(Pipeline):
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def __init__(self, n):
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super().__init__()
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self.n = n
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def process(self, word_freq):
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return nlargest(self.n, word_freq.items(), key=lambda item: item[1])
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# 假设有一个文本文件"text.txt"，其内容是需要分析的文本
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filename = testfilepath
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n = 5 # 求取最高5个词频
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# 创建管道
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pipeline = FileReader(filename) | WordFrequencyCounter() | TopNFilter(n)
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# 执行管道
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top_n_words = pipeline.process()
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# 打印结果
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for word, freq in top_n_words:
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print(f"{word}: {freq}") |