bloomysearch/index_generation/generate_index.py

49 lines
1.3 KiB
Python
Executable File

#!/usr/bin/env python3
import os
from lxml import html
import re
import stemmer
from pybloom import BloomFilter
# List all files in path directory
def list_directory(path):
fichier = []
for root, dirs, files in os.walk(path):
for i in files:
fichier.append(os.path.join(root, i))
return fichier
def remove_common_words(words):
returned = [word for word in words if len(word) > 3]
return returned
# =============================================================================
samples = list_directory("samples/")
filters = {}
p = stemmer.PorterStemmer()
for sample in samples:
with open(sample, 'r') as sample_fh:
content = sample_fh.read()
# Get text from HTML content
words = html.fromstring(content).text_content().replace("\n", "")
words = re.findall(r"[\w]+", words)
# Remove all punctuation etc., convert words to lower and delete duplicates
words = list(set([word.lower() for word in words]))
# Remove common words
words = remove_common_words(words)
# Stemming to reduce the number of words
words = [p.stem(word, 0, len(word)-1) for word in words]
filters[sample] = BloomFilter(capacity=len(words), error_rate=0.1)
for word in words:
filters[sample].add(word)
print(sum(len(filter.bitarray.tobytes()) for filter in filters.values()) /
len(filters))