Files
ragflow/deepdoc/parser/docx_parser.py
T
euvre 2846a93998 Fix: Remove hardcoded page limits causing parsing failures on large PDFs (>300 pages) (#14382)
### What problem does this PR solve?

Fixes #14196

## Problem

When using DeepDOC to parse large PDFs (over 1000 pages), the parser
silently truncated processing at 300 pages due to a hardcoded default
`page_to=299` in `RAGFlowPdfParser.__images__()`. This caused:

- **Errors** on pages beyond the limit
- **Poor image quality** as the parser attempted to compensate with
missing page data
- **Inconsistent chunk splitting** between full PDF imports and partial
imports

Additionally, the codebase scattered magic numbers (`299`, `600`,
`10000`, `100000`, `100000000`, `10000000000`, `10**9`) across 22 files
as sentinel values for "parse all pages", making future maintenance
error-prone.

## Root Cause

```python
# deepdoc/parser/pdf_parser.py (before)
def __images__(self, fnm, zoomin=3, page_from=0, page_to=299, callback=None):
    # Only the first 300 pages were rendered; everything beyond was silently dropped
```

While most callers in `rag/app/*.py` correctly passed `to_page=100000`,
the base class `RAGFlowPdfParser.__call__()` and `parse_into_bboxes()`
invoked `__images__` **without** forwarding `page_from`/`page_to`,
falling back to the restrictive default of 299.

## Solution

### 1. Define constants in `common/constants.py`

```python
MAXIMUM_PAGE_NUMBER = 100000                        # Used by the parsing layer
MAXIMUM_TASK_PAGE_NUMBER = MAXIMUM_PAGE_NUMBER * 1000  # Used by the task/DB layer
```

### 2. Replace all hardcoded sentinel values

| Layer | Files Changed | Old Values | New Value |
|---|---|---|---|
| **Deepdoc parsers** | `pdf_parser.py`, `mineru_parser.py`,
`docling_parser.py`, `opendataloader_parser.py`, `paddleocr_parser.py`,
`docx_parser.py` | `299`, `600`, `10**9`, `100000000` |
`MAXIMUM_PAGE_NUMBER` |
| **Chunk parsers** | `naive.py`, `book.py`, `qa.py`, `one.py`,
`manual.py`, `paper.py`, `presentation.py`, `laws.py`, `resume.py`,
`email.py`, `table.py` | `100000`, `10000`, `10000000000` |
`MAXIMUM_PAGE_NUMBER` |
| **Task/DB layer** | `db_models.py`, `task_service.py`,
`document_service.py`, `file_service.py` | `100000000` |
`MAXIMUM_TASK_PAGE_NUMBER` |

### 3. Fix `parse_into_bboxes()` missing parameters

Added `from_page`/`to_page` parameters to `parse_into_bboxes()` so that
the `rag/flow/parser/parser.py` DeepDOC path no longer falls back to the
restrictive default.

## Files Changed (22)

- `common/constants.py`
- `deepdoc/parser/pdf_parser.py`
- `deepdoc/parser/mineru_parser.py`
- `deepdoc/parser/docling_parser.py`
- `deepdoc/parser/opendataloader_parser.py`
- `deepdoc/parser/paddleocr_parser.py`
- `deepdoc/parser/docx_parser.py`
- `rag/app/naive.py`
- `rag/app/book.py`
- `rag/app/qa.py`
- `rag/app/one.py`
- `rag/app/manual.py`
- `rag/app/paper.py`
- `rag/app/presentation.py`
- `rag/app/laws.py`
- `rag/app/resume.py`
- `rag/app/email.py`
- `rag/app/table.py`
- `api/db/db_models.py`
- `api/db/services/task_service.py`
- `api/db/services/document_service.py`
- `api/db/services/file_service.py`

### Type of change

- [x] Bug Fix (non-breaking change which fixes an issue)
- [x] Refactoring

---------

Signed-off-by: noob <yixiao121314@outlook.com>
2026-04-27 14:57:20 +08:00

186 lines
6.6 KiB
Python

#
# 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.
#
from docx import Document
import re
import pandas as pd
from collections import Counter
from rag.nlp import rag_tokenizer
from io import BytesIO
import logging
from common.constants import MAXIMUM_PAGE_NUMBER
from docx.image.exceptions import (
InvalidImageStreamError,
UnexpectedEndOfFileError,
UnrecognizedImageError,
)
from rag.utils.lazy_image import LazyImage
class RAGFlowDocxParser:
def get_picture(self, document, paragraph):
imgs = paragraph._element.xpath(".//pic:pic")
if not imgs:
return None
image_blobs = []
for img in imgs:
embed = img.xpath(".//a:blip/@r:embed")
if not embed:
continue
embed = embed[0]
image_blob = None
try:
related_part = document.part.related_parts[embed]
except Exception as e:
logging.warning(f"Skipping image due to unexpected error getting related_part: {e}")
continue
try:
image = related_part.image
if image is not None:
image_blob = image.blob
except (
UnrecognizedImageError,
UnexpectedEndOfFileError,
InvalidImageStreamError,
UnicodeDecodeError,
) as e:
logging.info(f"Damaged image encountered, attempting blob fallback: {e}")
except Exception as e:
logging.warning(f"Unexpected error getting image, attempting blob fallback: {e}")
if image_blob is None:
image_blob = getattr(related_part, "blob", None)
if image_blob:
image_blobs.append(image_blob)
if not image_blobs:
return None
return LazyImage(image_blobs)
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):
pattern = [
("^(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 pattern:
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 necessarily 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=MAXIMUM_PAGE_NUMBER):
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 if hasattr(p.style, 'name') else '')) # then concat run.text as part of the paragraph
tbls = [self.__extract_table_content(tb) for tb in self.doc.tables]
return secs, tbls