import debug
import cluster
import config
import pdfplumber
from multiprocessing.pool import ThreadPool
import queue

def main():
   de_column_ify()

def log(*args):
   print(*args, flush=True)

def de_column_ify():
   q = queue.Queue(maxsize=4)
   with pdfplumber.open(config.INPUT) as pdf:
      with ThreadPool(4) as pool:
         for i in range(len(pdf.pages)):
            pool.apply_async(de_columnify_page, (q, pdf.pages[i], ))
         for i in range(len(pdf.pages)):
            log("getting", i, "of", len(pdf.pages))
            got = q.get()
            for got_i in got[1]:
               if got_i.chars:
                  True or debug.debug_show(debug.debug_im(got_i.page))
               textify(got_i.page)

def de_columnify_page(q, page):
   result = cluster.Chars(page.chars, page).divide_into_columns()
   log("putting", page.page_number)
   q.put((page, result))

def textify(page):
   lines = page.extract_text(layout=True).split("\n")
   leading_spaces = []
   for line in lines:
      leading_spaces.append(len(line) - len(line.lstrip()))
   median_leading_spaces = sorted(leading_spaces)[len(leading_spaces)//2]

   paragraphs = []
   for line in lines:
      if line.startswith(median_leading_spaces * " "):
         line = line[median_leading_spaces:]
      if line.startswith(" "):
         line = "\t" + line[1:]
      if not paragraphs or line.startswith("\t"):
         paragraphs.append([])
         paragraphs.append([])
      paragraphs[-1].append(line.rstrip())
   for paragraph in paragraphs:
      print(" ".join(paragraph))

if __name__ == "__main__":
   main()