mirror of
https://github.com/infiniflow/ragflow.git
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140 lines
4.8 KiB
Python
140 lines
4.8 KiB
Python
# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import copy
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import re
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from io import BytesIO
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from docx import Document
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from rag.nlp import bullets_category, is_english, tokenize, remove_contents_table, hierarchical_merge, \
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make_colon_as_title, add_positions
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from rag.nlp import huqie
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from deepdoc.parser import PdfParser, DocxParser
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from rag.settings import cron_logger
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class Docx(DocxParser):
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def __init__(self):
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pass
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def __clean(self, line):
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line = re.sub(r"\u3000", " ", line).strip()
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return line
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def __call__(self, filename, binary=None, from_page=0, to_page=100000):
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self.doc = Document(
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filename) if not binary else Document(BytesIO(binary))
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pn = 0
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lines = []
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for p in self.doc.paragraphs:
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if pn > to_page:break
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if from_page <= pn < to_page and p.text.strip(): lines.append(self.__clean(p.text))
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for run in p.runs:
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if 'lastRenderedPageBreak' in run._element.xml:
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pn += 1
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continue
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if 'w:br' in run._element.xml and 'type="page"' in run._element.xml:
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pn += 1
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return [l for l in lines if l]
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class Pdf(PdfParser):
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def __call__(self, filename, binary=None, from_page=0,
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to_page=100000, zoomin=3, callback=None):
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callback(msg="OCR is running...")
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self.__images__(
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filename if not binary else binary,
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zoomin,
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from_page,
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to_page,
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callback
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)
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callback(msg="OCR finished")
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from timeit import default_timer as timer
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start = timer()
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self._layouts_rec(zoomin)
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callback(0.67, "Layout analysis finished")
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cron_logger.info("paddle layouts:".format((timer()-start)/(self.total_page+0.1)))
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self._naive_vertical_merge()
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callback(0.8, "Text extraction finished")
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return [b["text"] + self._line_tag(b, zoomin) for b in self.boxes]
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def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", callback=None, **kwargs):
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"""
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Supported file formats are docx, pdf, txt.
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"""
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doc = {
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"docnm_kwd": filename,
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"title_tks": huqie.qie(re.sub(r"\.[a-zA-Z]+$", "", filename))
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}
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doc["title_sm_tks"] = huqie.qieqie(doc["title_tks"])
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pdf_parser = None
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sections = []
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if re.search(r"\.docx?$", filename, re.IGNORECASE):
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callback(0.1, "Start to parse.")
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for txt in Docx()(filename, binary):
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sections.append(txt)
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callback(0.8, "Finish parsing.")
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elif re.search(r"\.pdf$", filename, re.IGNORECASE):
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pdf_parser = Pdf()
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for txt in pdf_parser(filename if not binary else binary,
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from_page=from_page, to_page=to_page, callback=callback):
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sections.append(txt)
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elif re.search(r"\.txt$", filename, re.IGNORECASE):
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callback(0.1, "Start to parse.")
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txt = ""
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if binary:txt = binary.decode("utf-8")
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else:
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with open(filename, "r") as f:
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while True:
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l = f.readline()
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if not l:break
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txt += l
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sections = txt.split("\n")
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sections = [l for l in sections if l]
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callback(0.8, "Finish parsing.")
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else: raise NotImplementedError("file type not supported yet(docx, pdf, txt supported)")
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# is it English
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eng = lang.lower() == "english"#is_english(sections)
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# Remove 'Contents' part
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remove_contents_table(sections, eng)
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make_colon_as_title(sections)
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bull = bullets_category(sections)
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cks = hierarchical_merge(bull, sections, 3)
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if not cks: callback(0.99, "No chunk parsed out.")
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res = []
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# wrap up to es documents
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for ck in cks:
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print("\n-".join(ck))
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ck = "\n".join(ck)
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d = copy.deepcopy(doc)
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if pdf_parser:
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d["image"], poss = pdf_parser.crop(ck, need_position=True)
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add_positions(d, poss)
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ck = pdf_parser.remove_tag(ck)
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tokenize(d, ck, eng)
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res.append(d)
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return res
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if __name__ == "__main__":
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import sys
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def dummy(prog=None, msg=""):
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pass
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chunk(sys.argv[1], callback=dummy)
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