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extract.py
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extract.py
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import csv
import glob
import logging
import os
import re
import sys
from datetime import datetime
from unicodedata import normalize
from xml.etree.ElementTree import ParseError
import pandas as pd
from bs4 import BeautifulSoup
from crawler import PoliticsCrawler as crawler
VALID_SITES = (
"https://www.in.gr",
"https://www.zougla.gr",
"https://www.naftemporiki.gr",
"https://www.news247.gr",
)
class DirectoryNotFound(FileNotFoundError):
__module__ = FileNotFoundError.__module__
# Define selectors for HTML components per site
class Selector:
IN = [".main-content > div:nth-child(2)", ".floated-content > div:nth-child(1)"]
ZOUGLA = "div.article-container:nth-child(2) > div:nth-child(1) > div:nth-child(8)"
NAFTEMPORIKI = "#leftPHArea_Div1 > div:nth-child(1)"
NEWS247 = ["div", {"class": "article-body__body"}]
class Extractor:
def __init__(self, dirname: str, links: str):
self.dirname = Extractor.validate_directory(dirname)
self.links = links
self.html_raw = []
self.titles = []
self.bodies = []
self.csv_out: pd.DataFrame = None
def __repr__(self) -> str:
return f"Reading from {self.dirname}"
def find_all_files(self):
self.html_raw = sorted(
glob.glob(f"{self.dirname}/*.html", recursive=False),
key=lambda x: int("".join(filter(str.isdigit, x))),
)
def map_to_links(self, simple=True):
urls = crawler.get_all_links(self.links)
urls = [re.split(r"\b(?:(/)(?!\1))+\b", s)[0] for s in urls] if simple else urls
return dict(zip(self.html_raw, urls))
# Get the right selector to match site
def get_selector(self, doc):
map_ = self.map_to_links()
selector = None
if map_[doc] in VALID_SITES:
site = map_[doc]
if site == VALID_SITES[0]:
selector = Selector.IN
elif site == VALID_SITES[1]:
selector = Selector.ZOUGLA
elif site == VALID_SITES[2]:
selector = Selector.NAFTEMPORIKI
elif site == VALID_SITES[3]:
selector = Selector.NEWS247
return selector if selector is not None else None
@staticmethod
def get_soup(html_doc: str, parser="html.parser") -> BeautifulSoup:
with open(html_doc, "r", encoding="utf-8") as infile:
raw = infile.read()
soup = BeautifulSoup(raw, parser)
if soup:
return soup
else:
raise ParseError("Cannot parse documents.")
# Extract the main article body per site
def extract_main(self, html_doc):
soup = self.get_soup(html_doc)
selector = self.get_selector(html_doc)
if isinstance(selector, list) and not (
any(filter(lambda x: x.__len__() < 3, selector))
):
if soup.select(selector[0], limit=1):
article_body = "".join(
soup.select(selector[0], limit=1)[0].find_all(string=True)
)
else:
article_body = "".join(
soup.select(selector[1], limit=1)[0].find_all(string=True)
)
elif isinstance(selector, str):
if soup.select(selector, limit=1):
article_body = "".join(
soup.select(selector, limit=1)[0].find_all(string=True)
)
else:
# Naftermporiki loophole
article_body = "".join(
map(
lambda x: normalize("NFKD", x.get_text(strip=True)),
soup.select("#spBody", limit=1)[0].find_all("p", string=True),
)
)
else:
article_body_tags = soup.find(*selector).find_all("p", recursive=False)[:-1]
article_body = "".join([t.text for t in article_body_tags])
clean_article_body = re.sub(r"[^\w .~;]+", "", article_body).strip()
return clean_article_body
def get_title(self, html_doc, default="Empty"):
soup = self.get_soup(html_doc)
title = soup.title.text
title = re.sub(r"\W", " ", title)
title = re.sub(r"\s\s+", " ", title)
return title.strip() if title else default
def get_all_bodies(self):
self.bodies = [self.extract_main(doc) for doc in self.html_raw if self.html_raw]
def get_all_titles(self):
self.titles = [self.get_title(doc) for doc in self.html_raw if self.html_raw]
# Create CSV file with body and metadata
def construct_csv(self):
df_tmp = []
map_ = self.map_to_links(simple=False)
self.get_all_bodies()
self.get_all_titles()
for i, doc_path in enumerate(self.html_raw):
body = self.bodies[i]
title = self.titles[i]
now = datetime.isoformat(datetime.now(), sep=" ", timespec="seconds")
df_tmp += [
(
title,
body,
len(body),
len(body.encode("utf-8")),
map_[doc_path],
now,
)
]
self.csv_out = pd.DataFrame(
df_tmp,
columns=("title", "body", "length", "size_bytes", "url", "wall_time"),
)
@staticmethod
def validate_directory(dir):
if os.path.isdir(os.path.abspath(dir)):
return os.path.abspath(dir)
raise DirectoryNotFound(f"{dir}/")
def main():
logging.basicConfig(
format="[%(levelname)s] %(asctime)s %(message)s", datefmt="%d/%m/%Y %I:%M:%S %p"
)
logger = logging.getLogger()
logger.setLevel("INFO")
logger.info("Starting the extractor...")
assert (
len(sys.argv) == 4
), "Not enough arguments: <html dir> <links.csv> <outfile.csv>"
extractor = Extractor(sys.argv[1], sys.argv[2])
extractor.find_all_files()
extractor.construct_csv()
# Write csv to outfile
try:
extractor.csv_out.to_csv(
sys.argv[3],
sep=",",
header=True,
encoding="utf-8",
index_label="id",
quoting=csv.QUOTE_NONE,
)
logger.info("Done writing to %s", sys.argv[3])
except IOError:
logger.error("Failed to write to %s", sys.argv[3])
if __name__ == "__main__":
main()