bloomysearch/generate_index.py

49 lines
1.2 KiB
Python
Executable File

#!/usr/bin/env python3
import os
from lxml import html
import re
from collections import defaultdict
# 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/")
index = defaultdict(list)
i = 0
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
# TODO : Could use http://tartarus.org/martin/PorterStemmer/
for word in words:
index[word].append(i)
i += 1
print(samples)
print(index.items())