File size: 4,105 Bytes
1ed30a6 004756c b085dec 1ed30a6 004756c 1ed30a6 7f98e24 1ed30a6 b085dec 1ed30a6 b085dec 1ed30a6 b085dec 7f98e24 b085dec 1ed30a6 b085dec 1ed30a6 b085dec 1ed30a6 b085dec 1ed30a6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 |
# 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 re
from rag.app import laws
from rag.nlp import huqie, tokenize
from deepdoc.parser import PdfParser, ExcelParser, PlainParser
class Pdf(PdfParser):
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, drop=False)
callback(0.63, "Layout analysis finished.")
print("paddle layouts:", timer() - start)
self._table_transformer_job(zoomin)
callback(0.65, "Table analysis finished.")
self._text_merge()
callback(0.67, "Text merging finished")
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:
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?$", filename, re.IGNORECASE):
callback(0.1, "Start to parse.")
sections = [txt for txt in laws.Docx()(filename, binary) if txt]
callback(0.8, "Finish parsing.")
elif re.search(r"\.pdf$", filename, re.IGNORECASE):
pdf_parser = Pdf() if kwargs.get("parser_config",{}).get("layout_recognize", True) else 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?$", filename, re.IGNORECASE):
callback(0.1, "Start to parse.")
excel_parser = ExcelParser()
sections = [excel_parser.html(binary)]
elif re.search(r"\.txt$", 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 = [s for s in sections if s]
callback(0.8, "Finish parsing.")
else:
raise NotImplementedError("file type not supported yet(docx, pdf, txt supported)")
doc = {
"docnm_kwd": filename,
"title_tks": huqie.qie(re.sub(r"\.[a-zA-Z]+$", "", filename))
}
doc["title_sm_tks"] = huqie.qieqie(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)
|