# Extract Latin famous phrases from wikipedia
# Armaan Bhojwani 2020
-from bs4 import BeautifulSoup
-import requests
+import argparse
+import sys
import csv
+import requests
+from bs4 import BeautifulSoup
+
+def main(args=sys.argv[1:]):
+ # Argument parsing
+ parser = argparse.ArgumentParser(
+ description="Generate CSV file of Latin famous phrases from Wikipedia.")
+ parser.add_argument("-o", "--output",
+ default="phrases.csv",
+ help="set custom output file location")
+ args = parser.parse_args()
-def main():
- url = 'https://en.wikipedia.org/wiki/List_of_Latin_phrases_(full)'
- response = requests.get(url)
- html = response.content
+ url = ('https://en.wikipedia.org/w/index.php?title=List_of_Latin_phrases_('
+ 'full)&oldid=986793908')
+ soup = BeautifulSoup(requests.get(url).content, "html.parser")
+ i = 0 # For the phrase id
- soup = BeautifulSoup(html, "html.parser")
- list_table = soup.find_all("table", attrs={"class":"wikitable"})
- with open('phrases.csv', 'w') as f:
- writer = csv.writer(f)
+ with open(args.output, 'w') as f:
+ writer = csv.writer(f, lineterminator="\n")
+
+ # write header
+ headers = ['id', 'Latin', 'English', 'Notes', 'Length']
+ writer.writerow(headers)
- i = 0 # For the phrase id
# iterate through the tables in the page
+ list_table = soup.find_all("table", attrs={"class":"wikitable"})
for table in list_table:
- for row in table.find_all("tr")[1:]:
- cell = row.find_all("td")
+ for row in table.tbody.find_all("tr", recursive=False):
+ cell = row.find_all("td", recursive=False)
rowc = []
- # append phrase id
- rowc.append(i)
-
- # avoid out of bounds errors
- if len(cell) == 2:
- lan = 2
- else:
- lan = 3
+ rowc.append(i) # append phrase id
# add cell content
- for j in range (0, lan):
- content = cell[j]
- text=(content.get_text()).rstrip()
+ for content in cell:
+ text = (content.get_text(" ", strip=True)).rstrip()
rowc.append(text)
- # append length of phrase
- rowc.append(len(rowc[1]))
- writer.writerow(rowc)
+ if len(rowc) > 1:
+ rowc.append(len(rowc[1]))
+ writer.writerow(rowc)
i = i + 1
f.close()
- # Strip empty lines
- with open('phrases.csv', 'r+') as f:
- lines = f.readlines()
- f.seek(0)
- f.writelines(line for line in lines if line.strip())
- f.truncate()
- f.close()
-
if __name__ == "__main__":
main()