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                        - import copy
 - import re
 - from io import BytesIO
 - from docx import Document
 - import numpy as np
 - from rag.parser import bullets_category, is_english, tokenize, remove_contents_table, hierarchical_merge, \
 -     make_colon_as_title
 - from rag.nlp import huqie
 - from rag.parser.docx_parser import HuDocxParser
 - from rag.parser.pdf_parser import HuParser
 - from rag.settings import cron_logger
 - 
 - 
 - class Docx(HuDocxParser):
 -     def __init__(self):
 -         pass
 - 
 -     def __clean(self, line):
 -         line = re.sub(r"\u3000", " ", line).strip()
 -         return line
 - 
 -     def __call__(self, filename, binary=None, from_page=0, to_page=100000):
 -         self.doc = Document(
 -             filename) if not binary else Document(BytesIO(binary))
 -         pn = 0
 -         lines = []
 -         for p in self.doc.paragraphs:
 -             if pn > to_page:break
 -             if from_page <= pn < to_page and p.text.strip(): lines.append(self.__clean(p.text))
 -             for run in p.runs:
 -                 if 'lastRenderedPageBreak' in run._element.xml:
 -                     pn += 1
 -                     continue
 -                 if 'w:br' in run._element.xml and 'type="page"' in run._element.xml:
 -                     pn += 1
 -         return [l for l in lines if l]
 - 
 - 
 - class Pdf(HuParser):
 -     def __call__(self, filename, binary=None, from_page=0,
 -                  to_page=100000, zoomin=3, callback=None):
 -         self.__images__(
 -             filename if not binary else binary,
 -             zoomin,
 -             from_page,
 -             to_page)
 -         callback(0.1, "OCR finished")
 - 
 -         from timeit import default_timer as timer
 -         start = timer()
 -         self._layouts_paddle(zoomin)
 -         callback(0.77, "Layout analysis finished")
 -         cron_logger.info("paddle layouts:".format((timer()-start)/(self.total_page+0.1)))
 -         self._naive_vertical_merge()
 - 
 -         callback(0.8, "Text extraction finished")
 - 
 -         return [b["text"] + self._line_tag(b, zoomin) for b in self.boxes]
 - 
 - 
 - def chunk(filename, binary=None, from_page=0, to_page=100000, callback=None, **kwargs):
 -     doc = {
 -         "docnm_kwd": filename,
 -         "title_tks": huqie.qie(re.sub(r"\.[a-zA-Z]+$", "", filename))
 -     }
 -     doc["title_sm_tks"] = huqie.qieqie(doc["title_tks"])
 -     pdf_parser = None
 -     sections = []
 -     if re.search(r"\.docx?$", filename, re.IGNORECASE):
 -         callback(0.1, "Start to parse.")
 -         for txt in Docx()(filename, binary):
 -             sections.append(txt)
 -         callback(0.8, "Finish parsing.")
 -     elif re.search(r"\.pdf$", filename, re.IGNORECASE):
 -         pdf_parser = Pdf()
 -         for txt in pdf_parser(filename if not binary else binary,
 -                          from_page=from_page, to_page=to_page, callback=callback):
 -             sections.append(txt)
 -     elif re.search(r"\.txt$", filename, re.IGNORECASE):
 -         callback(0.1, "Start to parse.")
 -         txt = ""
 -         if binary:txt = binary.decode("utf-8")
 -         else:
 -             with open(filename, "r") as f:
 -                 while True:
 -                     l = f.readline()
 -                     if not l:break
 -                     txt += l
 -         sections = txt.split("\n")
 -         sections = txt.split("\n")
 -         sections = [l for l in sections if l]
 -         callback(0.8, "Finish parsing.")
 -     else: raise NotImplementedError("file type not supported yet(docx, pdf, txt supported)")
 - 
 -     # is it English
 -     eng = is_english(sections)
 -     # Remove 'Contents' part
 -     remove_contents_table(sections, eng)
 - 
 -     make_colon_as_title(sections)
 -     bull = bullets_category(sections)
 -     cks = hierarchical_merge(bull, sections, 3)
 -     if not cks: callback(0.99, "No chunk parsed out.")
 - 
 -     res = []
 -     # wrap up to es documents
 -     for ck in cks:
 -         print("\n-".join(ck))
 -         ck = "\n".join(ck)
 -         d = copy.deepcopy(doc)
 -         if pdf_parser:
 -             d["image"] = pdf_parser.crop(ck)
 -             ck = pdf_parser.remove_tag(ck)
 -         tokenize(d, ck, eng)
 -         res.append(d)
 -     return res
 - 
 - 
 - if __name__ == "__main__":
 -     import sys
 -     def dummy(a, b):
 -         pass
 -     chunk(sys.argv[1], callback=dummy)
 
 
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