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File: Now parsing support all types of embedded documents, solved #10059 (#10635)

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### What problem does this PR solve?

File: Now parsing support all types of embedded documents, solved #10059
Fix: Incomplete words in chat #10530
### Type of change

- [x] New Feature (non-breaking change which adds functionality)
This commit is contained in:
Billy Bao 2025-10-17 18:46:47 +08:00 committed by GitHub
parent f50b2461cb
commit 8ee0b6ea54
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
6 changed files with 486 additions and 7 deletions
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2
api/db/services/llm_service.py
View File

@ -266,7 +266,7 @@ class LLMBundle(LLM4Tenant):
break
if txt.endswith("</think>"):
ans = ans.rstrip("</think>")
ans = ans[: -len("</think>")]
if not self.verbose_tool_use:
txt = re.sub(r"<tool_call>.*?</tool_call>", "", txt, flags=re.DOTALL)

4
api/db/services/task_service.py
View File

@ -351,7 +351,7 @@ def queue_tasks(doc: dict, bucket: str, name: str, priority: int):
"progress": 0.0,
"from_page": 0,
"to_page": 100000000,
"begin_at": datetime.now(),
"begin_at": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
}
parse_task_array = []
@ -503,7 +503,7 @@ def queue_dataflow(tenant_id:str, flow_id:str, task_id:str, doc_id:str=CANVAS_DE
to_page=100000000,
task_type="dataflow" if not rerun else "dataflow_rerun",
priority=priority,
begin_at=datetime.now(),
begin_at= datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
)
if doc_id not in [CANVAS_DEBUG_DOC_ID, GRAPH_RAPTOR_FAKE_DOC_ID]:
TaskService.model.delete().where(TaskService.model.doc_id == doc_id).execute()

149
api/utils/file_utils.py
View File

@ -13,7 +13,12 @@
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Standard library imports
import base64
import hashlib
import io
import json
import os
import re
@ -22,13 +27,21 @@ import subprocess
import sys
import tempfile
import threading
import zipfile
from io import BytesIO
# Typing
from typing import List, Union, Tuple
# Third-party imports
import olefile
import fitz
import pdfplumber
from cachetools import LRUCache, cached
from PIL import Image
from ruamel.yaml import YAML
# Local imports
from api.constants import IMG_BASE64_PREFIX
from api.db import FileType
@ -284,3 +297,139 @@ def read_potential_broken_pdf(blob):
return repaired
return blob
def _is_zip(h: bytes) -> bool:
return h.startswith(b"PK\x03\x04") or h.startswith(b"PK\x05\x06") or h.startswith(b"PK\x07\x08")
def _is_pdf(h: bytes) -> bool:
return h.startswith(b"%PDF-")
def _is_ole(h: bytes) -> bool:
return h.startswith(b"\xD0\xCF\x11\xE0\xA1\xB1\x1A\xE1")
def _sha10(b: bytes) -> str:
return hashlib.sha256(b).hexdigest()[:10]
def _guess_ext(b: bytes) -> str:
h = b[:8]
if _is_zip(h):
try:
with zipfile.ZipFile(io.BytesIO(b), "r") as z:
names = [n.lower() for n in z.namelist()]
if any(n.startswith("word/") for n in names):
return ".docx"
if any(n.startswith("ppt/") for n in names):
return ".pptx"
if any(n.startswith("xl/") for n in names):
return ".xlsx"
except Exception:
pass
return ".zip"
if _is_pdf(h):
return ".pdf"
if _is_ole(h):
return ".doc"
return ".bin"
# Try to extract the real embedded payload from OLE's Ole10Native
def _extract_ole10native_payload(data: bytes) -> bytes:
try:
pos = 0
if len(data) < 4:
return data
_ = int.from_bytes(data[pos:pos+4], "little")
pos += 4
for _ in range(3): # filename/src/tmp (NUL-terminated ANSI)
z = data.index(b"\x00", pos)
pos = z + 1
pos += 4
if pos + 4 > len(data):
return data
size = int.from_bytes(data[pos:pos+4], "little")
pos += 4
if pos + size <= len(data):
return data[pos:pos+size]
except Exception:
pass
return data
def extract_embed_file(target: Union[bytes, bytearray]) -> List[Tuple[str, bytes]]:
"""
Only extract the "first layer" of embedding, returning raw (filename, bytes).
These bytes can be directly used for io.BytesIO and then passed to zipfile/fitz/olefile and other libraries for further parsing.
"""
top = bytes(target)
head = top[:8]
out: List[Tuple[str, bytes]] = []
seen = set()
def push(b: bytes, name_hint: str = ""):
h10 = _sha10(b)
if h10 in seen:
return
seen.add(h10)
ext = _guess_ext(b)
# If name_hint does not have a clear extension, use the extension guessed from the content
if "." in name_hint:
fname = name_hint.split("/")[-1]
else:
fname = f"{h10}{ext}"
out.append((fname, b))
# OOXML/ZIP container (docx/xlsx/pptx)
if _is_zip(head):
try:
with zipfile.ZipFile(io.BytesIO(top), "r") as z:
embed_dirs = ("word/embeddings/", "word/objects/", "word/activex/",
"xl/embeddings/", "ppt/embeddings/")
for name in z.namelist():
low = name.lower()
if any(low.startswith(d) for d in embed_dirs):
try:
b = z.read(name)
push(b, name)
except Exception:
pass
except Exception:
pass
return out
# PDF attachments
if _is_pdf(head):
try:
doc = fitz.open(stream=top, filetype="pdf")
count = getattr(doc, "embfile_count", 0)
for i in range(count):
try:
data = doc.embfile_get(i)
if data:
push(bytes(data), f"EmbeddedFiles[{i}]")
except Exception:
pass
doc.close()
except Exception:
pass
return out
# Legacy OLE (.doc/.xls/.ppt)
if _is_ole(head):
try:
with olefile.OleFileIO(io.BytesIO(top)) as ole:
for entry in ole.listdir():
p = "/".join(entry)
try:
data = ole.openstream(entry).read()
except Exception:
continue
if not data:
continue
if "Ole10Native" in p or "ole10native" in p.lower():
data = _extract_ole10native_payload(data)
push(data, p)
except Exception:
pass
return out
return out

1
pyproject.toml
View File

@ -137,6 +137,7 @@ dependencies = [
"mammoth>=1.11.0",
"markdownify>=1.2.0",
"captcha>=0.7.1",
"fitz>=0.0.1.dev2",
]
[project.optional-dependencies]

36
rag/app/naive.py
View File

@ -15,12 +15,11 @@
#
import logging
import os
import re
import os
from functools import reduce
from io import BytesIO
from timeit import default_timer as timer
from docx import Document
from docx.image.exceptions import InvalidImageStreamError, UnexpectedEndOfFileError, UnrecognizedImageError
from docx.opc.pkgreader import _SerializedRelationships, _SerializedRelationship
@ -31,10 +30,11 @@ from tika import parser
from api.db import LLMType
from api.db.services.llm_service import LLMBundle
from api.utils.file_utils import extract_embed_file
from deepdoc.parser import DocxParser, ExcelParser, HtmlParser, JsonParser, MarkdownElementExtractor, MarkdownParser, PdfParser, TxtParser
from deepdoc.parser.figure_parser import VisionFigureParser, vision_figure_parser_figure_data_wrapper
from deepdoc.parser.mineru_parser import MinerUParser
from deepdoc.parser.pdf_parser import PlainParser, VisionParser
from deepdoc.parser.mineru_parser import MinerUParser
from rag.nlp import concat_img, find_codec, naive_merge, naive_merge_with_images, naive_merge_docx, rag_tokenizer, tokenize_chunks, tokenize_chunks_with_images, tokenize_table
@ -437,6 +437,7 @@ def chunk(filename, binary=None, from_page=0, to_page=100000,
Successive text will be sliced into pieces using 'delimiter'.
Next, these successive pieces are merge into chunks whose token number is no more than 'Max token number'.
"""
is_english = lang.lower() == "english" # is_english(cks)
parser_config = kwargs.get(
@ -450,6 +451,27 @@ def chunk(filename, binary=None, from_page=0, to_page=100000,
res = []
pdf_parser = None
section_images = None
is_root = kwargs.get("is_root", True)
embed_res = []
if is_root:
# Only extract embedded files at the root call
embeds = []
if binary is not None:
embeds = extract_embed_file(binary)
else:
raise Exception("Embedding extraction from file path is not supported.")
# Recursively chunk each embedded file and collect results
for embed_filename, embed_bytes in embeds:
try:
sub_res = chunk(embed_filename, binary=embed_bytes, lang=lang, callback=callback, is_root=False, **kwargs) or []
embed_res.extend(sub_res)
except Exception as e:
if callback:
callback(0.05, f"Failed to chunk embed {embed_filename}: {e}")
continue
if re.search(r"\.docx$", filename, re.IGNORECASE):
callback(0.1, "Start to parse.")
@ -483,10 +505,12 @@ def chunk(filename, binary=None, from_page=0, to_page=100000,
"delimiter", "\n!?。；！？"))
if kwargs.get("section_only", False):
chunks.extend(embed_res)
return chunks
res.extend(tokenize_chunks_with_images(chunks, doc, is_english, images))
logging.info("naive_merge({}): {}".format(filename, timer() - st))
res.extend(embed_res)
return res
elif re.search(r"\.pdf$", filename, re.IGNORECASE):
@ -519,6 +543,7 @@ def chunk(filename, binary=None, from_page=0, to_page=100000,
res = tokenize_table(tables, doc, is_english)
callback(0.8, "Finish parsing.")
elif layout_recognizer == "MinerU":
mineru_executable = os.environ.get("MINERU_EXECUTABLE", "mineru")
pdf_parser = MinerUParser(mineru_path=mineru_executable)
@ -621,7 +646,6 @@ def chunk(filename, binary=None, from_page=0, to_page=100000,
callback(0.8, f"tika.parser got empty content from {filename}.")
logging.warning(f"tika.parser got empty content from {filename}.")
return []
else:
raise NotImplementedError(
"file type not supported yet(pdf, xlsx, doc, docx, txt supported)")
@ -638,6 +662,7 @@ def chunk(filename, binary=None, from_page=0, to_page=100000,
"chunk_token_num", 128)), parser_config.get(
"delimiter", "\n!?。；！？"))
if kwargs.get("section_only", False):
chunks.extend(embed_res)
return chunks
res.extend(tokenize_chunks_with_images(chunks, doc, is_english, images))
@ -647,11 +672,14 @@ def chunk(filename, binary=None, from_page=0, to_page=100000,
"chunk_token_num", 128)), parser_config.get(
"delimiter", "\n!?。；！？"))
if kwargs.get("section_only", False):
chunks.extend(embed_res)
return chunks
res.extend(tokenize_chunks(chunks, doc, is_english, pdf_parser))
logging.info("naive_merge({}): {}".format(filename, timer() - st))
if embed_res:
res.extend(embed_res)
return res

301
uv.lock generated
View File

@ -31,6 +31,15 @@ wheels = [
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]
[[package]]
name = "acres"
version = "0.5.0"
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
sdist = { url = "https://pypi.tuna.tsinghua.edu.cn/packages/ec/ba/94b63a9af588fbf7bde25ce44d55456199654a92fb7b2337767198a824b0/acres-0.5.0.tar.gz", hash = "sha256:128b6447bf5df3b6210264feccbfa018b4ac5bd337358319aec6563f99db8f3a", size = 57750, upload-time = "2025-06-04T12:40:30.329Z" }
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name = "aiofiles"
version = "24.1.0"
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name = "ci-info"
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name = "click"
version = "8.2.1"
@ -912,6 +930,24 @@ wheels = [
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[[package]]
name = "contourpy"
version = "1.3.2"
@ -1471,6 +1507,19 @@ wheels = [
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[[package]]
name = "etelemetry"
version = "0.3.1"
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
dependencies = [
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{ name = "packaging" },
{ name = "requests" },
]
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name = "events"
version = "0.5"
@ -1659,6 +1708,25 @@ wheels = [
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[[package]]
name = "fitz"
version = "0.0.1.dev2"
source = { registry = "https://pypi.tuna.tsinghua.edu.cn/simple" }
dependencies = [
{ name = "configobj" },
{ name = "configparser" },
{ name = "httplib2" },
{ name = "nibabel" },
{ name = "nipype" },
{ name = "numpy" },
{ name = "pandas" },
{ name = "pyxnat" },
{ name = "scipy" },
]
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[[package]]
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