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#
# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
# 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.
#
import logging
from tika import parser
from io import BytesIO
import re
from deepdoc.parser.utils import get_text
from rag.app import naive
from rag.nlp import rag_tokenizer, tokenize
from deepdoc.parser import PdfParser, ExcelParser, PlainParser, HtmlParser
class Pdf(PdfParser):
def __call__(self, filename, binary=None, from_page=0,
to_page=100000, zoomin=3, callback=None):
from timeit import default_timer as timer
start = timer()
callback(msg="OCR started")
self.__images__(
filename if not binary else binary,
zoomin,
from_page,
to_page,
callback
)
callback(msg="OCR finished ({:.2f}s)".format(timer() - start))
start = timer()
self._layouts_rec(zoomin, drop=False)
callback(0.63, "Layout analysis ({:.2f}s)".format(timer() - start))
logging.debug("layouts cost: {}s".format(timer() - start))
start = timer()
self._table_transformer_job(zoomin)
callback(0.65, "Table analysis ({:.2f}s)".format(timer() - start))
start = timer()
self._text_merge()
callback(0.67, "Text merged ({:.2f}s)".format(timer() - start))
tbls = self._extract_table_figure(True, zoomin, True, True)
self._concat_downward()
sections = [(b["text"], self.get_position(b, zoomin))
for i, b in enumerate(self.boxes)]
for (img, rows), poss in tbls:
if not rows:
continue
sections.append((rows if isinstance(rows, str) else rows[0],
[(p[0] + 1 - from_page, p[1], p[2], p[3], p[4]) for p in poss]))
return [(txt, "") for txt, _ in sorted(sections, key=lambda x: (
x[-1][0][0], x[-1][0][3], x[-1][0][1]))], None
def chunk(filename, binary=None, from_page=0, to_page=100000,
lang="Chinese", callback=None, **kwargs):
"""
Supported file formats are docx, pdf, excel, txt.
One file forms a chunk which maintains original text order.
"""
eng = lang.lower() == "english" # is_english(cks)
if re.search(r"\.docx$", filename, re.IGNORECASE):
callback(0.1, "Start to parse.")
sections, tbls = naive.Docx()(filename, binary)
sections = [s for s, _ in sections if s]
for (_, html), _ in tbls:
sections.append(html)
callback(0.8, "Finish parsing.")
elif re.search(r"\.pdf$", filename, re.IGNORECASE):
pdf_parser = Pdf()
if kwargs.get("layout_recognize", "DeepDOC") == "Plain Text":
pdf_parser = PlainParser()
sections, _ = pdf_parser(
filename if not binary else binary, to_page=to_page, callback=callback)
sections = [s for s, _ in sections if s]
elif re.search(r"\.xlsx?$", filename, re.IGNORECASE):
callback(0.1, "Start to parse.")
excel_parser = ExcelParser()
sections = excel_parser.html(binary, 1000000000)
elif re.search(r"\.(txt|md|markdown)$", filename, re.IGNORECASE):
callback(0.1, "Start to parse.")
txt = get_text(filename, binary)
sections = txt.split("\n")
sections = [s for s in sections if s]
callback(0.8, "Finish parsing.")
elif re.search(r"\.(htm|html)$", filename, re.IGNORECASE):
callback(0.1, "Start to parse.")
sections = HtmlParser()(filename, binary)
sections = [s for s in sections if s]
callback(0.8, "Finish parsing.")
elif re.search(r"\.doc$", 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 = [s for s in sections if s]
callback(0.8, "Finish parsing.")
else:
raise NotImplementedError(
"file type not supported yet(doc, docx, pdf, txt supported)")
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"])
tokenize(doc, "\n".join(sections), eng)
return [doc]
if __name__ == "__main__":
import sys
def dummy(prog=None, msg=""):
pass
chunk(sys.argv[1], from_page=0, to_page=10, callback=dummy)
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