ragflow/rag/app/naive.py

import copy
import re
from rag.app import laws
from rag.parser import is_english, tokenize, naive_merge
from rag.nlp import huqie
from rag.parser.pdf_parser import HuParser
from rag.settings import cron_logger

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()
        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 laws.Docx()(filename, binary):
            sections.append((txt, ""))
        callback(0.8, "Finish parsing.")
    elif re.search(r"\.pdf$", filename, re.IGNORECASE):
        pdf_parser = Pdf()
        sections = pdf_parser(filename if not binary else binary,
                         from_page=from_page, to_page=to_page, callback=callback)
    elif re.search(r"\.txt$", 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 = [(l,"") for l in sections if l]
        callback(0.8, "Finish parsing.")
    else: raise NotImplementedError("file type not supported yet(docx, pdf, txt supported)")

    cks = naive_merge(sections, kwargs.get("chunk_token_num", 128), kwargs.get("delimer", "\n。；！？"))
    eng = is_english(cks)
    res = []
    # wrap up to es documents
    for ck in cks:
        print("--", 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], from_page=0, to_page=10, callback=dummy)