ragflow/deepdoc/parser/docx_parser.py
Kevin Hu 95821f6fb6
fix bug of ragflowdocxpparser (#1642)
### What problem does this PR solve?

#1627

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
2024-07-23 09:25:32 +08:00

137 lines
4.9 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

# 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 docx import Document
import re
import pandas as pd
from collections import Counter
from rag.nlp import rag_tokenizer
from io import BytesIO
class RAGFlowDocxParser:
def __extract_table_content(self, tb):
df = []
for row in tb.rows:
df.append([c.text for c in row.cells])
return self.__compose_table_content(pd.DataFrame(df))
def __compose_table_content(self, df):
def blockType(b):
patt = [
("^(20|19)[0-9]{2}[年/-][0-9]{1,2}[月/-][0-9]{1,2}日*$", "Dt"),
(r"^(20|19)[0-9]{2}年$", "Dt"),
(r"^(20|19)[0-9]{2}[年/-][0-9]{1,2}月*$", "Dt"),
("^[0-9]{1,2}[月/-][0-9]{1,2}日*$", "Dt"),
(r"^第*[一二三四1-4]季度$", "Dt"),
(r"^(20|19)[0-9]{2}年*[一二三四1-4]季度$", "Dt"),
(r"^(20|19)[0-9]{2}[ABCDE]$", "DT"),
("^[0-9.,+%/ -]+$", "Nu"),
(r"^[0-9A-Z/\._~-]+$", "Ca"),
(r"^[A-Z]*[a-z' -]+$", "En"),
(r"^[0-9.,+-]+[0-9A-Za-z/$¥%<>()' -]+$", "NE"),
(r"^.{1}$", "Sg")
]
for p, n in patt:
if re.search(p, b):
return n
tks = [t for t in rag_tokenizer.tokenize(b).split(" ") if len(t) > 1]
if len(tks) > 3:
if len(tks) < 12:
return "Tx"
else:
return "Lx"
if len(tks) == 1 and rag_tokenizer.tag(tks[0]) == "nr":
return "Nr"
return "Ot"
if len(df) < 2:
return []
max_type = Counter([blockType(str(df.iloc[i, j])) for i in range(
1, len(df)) for j in range(len(df.iloc[i, :]))])
max_type = max(max_type.items(), key=lambda x: x[1])[0]
colnm = len(df.iloc[0, :])
hdrows = [0] # header is not nessesarily appear in the first line
if max_type == "Nu":
for r in range(1, len(df)):
tys = Counter([blockType(str(df.iloc[r, j]))
for j in range(len(df.iloc[r, :]))])
tys = max(tys.items(), key=lambda x: x[1])[0]
if tys != max_type:
hdrows.append(r)
lines = []
for i in range(1, len(df)):
if i in hdrows:
continue
hr = [r - i for r in hdrows]
hr = [r for r in hr if r < 0]
t = len(hr) - 1
while t > 0:
if hr[t] - hr[t - 1] > 1:
hr = hr[t:]
break
t -= 1
headers = []
for j in range(len(df.iloc[i, :])):
t = []
for h in hr:
x = str(df.iloc[i + h, j]).strip()
if x in t:
continue
t.append(x)
t = ",".join(t)
if t:
t += ": "
headers.append(t)
cells = []
for j in range(len(df.iloc[i, :])):
if not str(df.iloc[i, j]):
continue
cells.append(headers[j] + str(df.iloc[i, j]))
lines.append(";".join(cells))
if colnm > 3:
return lines
return ["\n".join(lines)]
def __call__(self, fnm, from_page=0, to_page=100000):
self.doc = Document(fnm) if isinstance(
fnm, str) else Document(BytesIO(fnm))
pn = 0 # parsed page
secs = [] # parsed contents
for p in self.doc.paragraphs:
if pn > to_page:
break
runs_within_single_paragraph = [] # save runs within the range of pages
for run in p.runs:
if pn > to_page:
break
if from_page <= pn < to_page and p.text.strip():
runs_within_single_paragraph.append(run.text) # append run.text first
# wrap page break checker into a static method
if 'lastRenderedPageBreak' in run._element.xml:
pn += 1
secs.append(("".join(runs_within_single_paragraph), p.style.name)) # then concat run.text as part of the paragraph
tbls = [self.__extract_table_content(tb) for tb in self.doc.tables]
return secs, tbls