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whatTheClassicsKnow.py
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whatTheClassicsKnow.py
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#! /usr/bin/env python2
"""
Filename: whatTheClassicsKnow.py
Author: Emily Daniels
Date: January 2016
Purpose: Creates a text of sentences that contain the word 'blue'.
"""
import re
import os
def read_text(filename):
"""
Reads the text from a text file.
"""
with open(filename, "rb") as f:
text = f.read()
return text
def split_into_sentences(text):
"""
Split sentences on .?! "" and not on abbreviations of titles.
"""
sentence_enders = re.compile(r"""
# Split sentences on whitespace between them.
(?: # Group for two positive lookbehinds.
(?<=[.!?]) # Either an end of sentence punct,
| (?<=[.!?]['"]) # or end of sentence punct and quote.
) # End group of two positive lookbehinds.
(?<! Mr\. ) # Don't end sentence on "Mr."
(?<! Mrs\. ) # Don't end sentence on "Mrs."
(?<! Ms\. ) # Don't end sentence on "Ms."
(?<! Jr\. ) # Don't end sentence on "Jr."
(?<! Dr\. ) # Don't end sentence on "Dr."
(?<! Prof\. ) # Don't end sentence on "Prof."
(?<! Sr\. ) # Don't end sentence on "Sr."
(?<! St\. ) # Don't end sentence on "St."
(?<! M\. ) # Don't end sentence on "M."
\s+ # Split on whitespace between sentences.
""", re.IGNORECASE | re.VERBOSE)
return sentence_enders.split(text)
def extract_sentences(modifier, split_text):
"""
Extracts the sentences that contain the modifier references.
"""
extracted_text = []
for sentence in split_text:
if re.search(r"\b(?=\w)%s\b(?!\w)" % re.escape(modifier), sentence,
re.IGNORECASE):
extracted_text.append(sentence)
return extracted_text
def write_text(modifier, extracted_text):
"""
Writes the extracted sentences to a text file.
"""
with open("what_the_classics_know_of_" + modifier + ".txt", "wb") as f:
for list in extracted_text:
for line in list:
f.write("%s\n\n" % str(line))
if __name__ == "__main__":
modifier = 'blue'
all_extracted_text = []
book_dir = os.path.abspath(os.path.join(os.path.dirname(__file__),
"classics"))
for filename in os.listdir(book_dir):
text = read_text(os.path.join(book_dir, filename))
split_text = split_into_sentences(text)
extracted_text = extract_sentences(modifier, split_text)
all_extracted_text.append(extracted_text)
write_text(modifier, all_extracted_text)