ragflow/rag/app/laws.py

#  Licensed under the Apache License, Version 2.0 (the "License");
#  you may not use this file except in compliance with the License.
#  You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
#  Unless required by applicable law or agreed to in writing, software
#  distributed under the License is distributed on an "AS IS" BASIS,
#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
#  See the License for the specific language governing permissions and
#  limitations under the License.
#
from tika import parser
import re
from io import BytesIO
from docx import Document

from api.db import ParserType
from deepdoc.parser.utils import get_text
from rag.nlp import bullets_category, remove_contents_table, hierarchical_merge, \
    make_colon_as_title, tokenize_chunks, docx_question_level
from rag.nlp import rag_tokenizer
from deepdoc.parser import PdfParser, DocxParser, PlainParser, HtmlParser
from api.utils.log_utils import logger


class Docx(DocxParser):
    def __init__(self):
        pass

    def __clean(self, line):
        line = re.sub(r"\u3000", " ", line).strip()
        return line

    def old_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]

    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 = []
        bull = bullets_category([p.text for p in self.doc.paragraphs])
        for p in self.doc.paragraphs:
            if pn > to_page:
                break
            question_level, p_text = docx_question_level(p, bull)
            if not p_text.strip("\n"):continue
            lines.append((question_level, 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

        visit = [False for _ in range(len(lines))]
        sections = []
        for s in range(len(lines)):
            e = s + 1
            while e < len(lines):
                if lines[e][0] <= lines[s][0]:
                    break
                e += 1
            if e - s == 1 and visit[s]: continue
            sec = []
            next_level = lines[s][0] + 1
            while not sec and next_level < 22:
                for i in range(s+1, e):
                    if lines[i][0] != next_level: continue
                    sec.append(lines[i][1])
                    visit[i] = True
                next_level += 1
            sec.insert(0, lines[s][1])

            sections.append("\n".join(sec))
        return [l for l in sections if l]

    def __str__(self) -> str:
        return f'''
            question:{self.question},
            answer:{self.answer},
            level:{self.level},
            childs:{self.childs}
        '''


class Pdf(PdfParser):
    def __init__(self):
        self.model_speciess = ParserType.LAWS.value
        super().__init__()

    def __call__(self, filename, binary=None, from_page=0,
                 to_page=100000, zoomin=3, callback=None):
        callback(msg="OCR is running...")
        self.__images__(
            filename if not binary else binary,
            zoomin,
            from_page,
            to_page,
            callback
        )
        callback(msg="OCR finished")

        from timeit import default_timer as timer
        start = timer()
        self._layouts_rec(zoomin)
        callback(0.67, "Layout analysis finished")
        logger.info("layouts:".format(
            ))
        self._naive_vertical_merge()

        callback(0.8, "Text extraction finished")

        return [(b["text"], self._line_tag(b, zoomin))
                for b in self.boxes], None


def chunk(filename, binary=None, from_page=0, to_page=100000,
          lang="Chinese", callback=None, **kwargs):
    """
        Supported file formats are docx, pdf, txt.
    """
    doc = {
        "docnm_kwd": filename,
        "title_tks": rag_tokenizer.tokenize(re.sub(r"\.[a-zA-Z]+$", "", filename))
    }
    doc["title_sm_tks"] = rag_tokenizer.fine_grained_tokenize(doc["title_tks"])
    pdf_parser = None
    sections = []
    # is it English
    eng = lang.lower() == "english"  # is_english(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.")
        chunks = sections
        return tokenize_chunks(chunks, doc, eng, pdf_parser)

    elif re.search(r"\.pdf$", filename, re.IGNORECASE):
        pdf_parser = Pdf() if kwargs.get(
            "parser_config", {}).get(
            "layout_recognize", True) else PlainParser()
        for txt, poss in pdf_parser(filename if not binary else binary,
                                    from_page=from_page, to_page=to_page, callback=callback)[0]:
            sections.append(txt + poss)

    elif re.search(r"\.txt$", filename, re.IGNORECASE):
        callback(0.1, "Start to parse.")
        txt = get_text(filename, binary)
        sections = txt.split("\n")
        sections = [l for l in sections if l]
        callback(0.8, "Finish parsing.")

    elif re.search(r"\.(htm|html)$", filename, re.IGNORECASE):
        callback(0.1, "Start to parse.")
        sections = HtmlParser()(filename, binary)
        sections = [l for l in sections if l]
        callback(0.8, "Finish parsing.")

    elif re.search(r"\.doc$", filename, re.IGNORECASE):
        callback(0.1, "Start to parse.")
        binary = BytesIO(binary)
        doc_parsed = parser.from_buffer(binary)
        sections = doc_parsed['content'].split('\n')
        sections = [l for l in sections if l]
        callback(0.8, "Finish parsing.")

    else:
        raise NotImplementedError(
            "file type not supported yet(doc, docx, pdf, txt supported)")


    # Remove 'Contents' part
    remove_contents_table(sections, eng)

    make_colon_as_title(sections)
    bull = bullets_category(sections)
    chunks = hierarchical_merge(bull, sections, 5)
    if not chunks:
        callback(0.99, "No chunk parsed out.")

    return tokenize_chunks(["\n".join(ck)
                           for ck in chunks], doc, eng, pdf_parser)


if __name__ == "__main__":
    import sys

    def dummy(prog=None, msg=""):
        pass
    chunk(sys.argv[1], callback=dummy)