# -*- coding: utf-8 -*-
from collections import Counter
from cppy.cp_util import *
from functools import reduce

stop_words = get_stopwords()

# map - reduce
def process_chunk(chunk):
    # 过滤停用词
    words = [ w for w in chunk if ( not w in stop_words ) and len(w) >= 3 ]
    return Counter(words)

def merge_counts(count1,count2):
    sum_counts = count1 + count2
    return sum_counts


@timing_decorator
def main():   
    # 读数据，按1000个词一组分片
    chunks = get_chunks(testfilepath,1000)

    # 使用 map 方法和 process_chunk 函数处理每个分区
    counts_list = list(map(process_chunk, chunks))
    #  使用 reduce 和 merge_counts 函数统计所有分区的词频
    total_counts = (reduce(merge_counts,counts_list))

    # 输出最高频的n个词
    print_word_freqs(total_counts.most_common(10))


if __name__ == '__main__':
    main()