# 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 rag.settings import cron_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")
cron_logger.info("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], 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)