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257af75ece
page_number in boxes is relative page number，must + from_page ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue)
251 lines
8.4 KiB
Python
251 lines
8.4 KiB
Python
#
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# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import copy
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import re
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from collections import defaultdict
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from io import BytesIO
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from PIL import Image
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from PyPDF2 import PdfReader as pdf2_read
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from deepdoc.parser import PdfParser, PptParser, PlainParser
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from rag.app.naive import by_plaintext, PARSERS
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from rag.nlp import rag_tokenizer
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from rag.nlp import tokenize, is_english
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class Ppt(PptParser):
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def __call__(self, fnm, from_page, to_page, callback=None):
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txts = super().__call__(fnm, from_page, to_page)
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callback(0.5, "Text extraction finished.")
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import aspose.slides as slides
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import aspose.pydrawing as drawing
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imgs = []
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with slides.Presentation(BytesIO(fnm)) as presentation:
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for i, slide in enumerate(presentation.slides[from_page: to_page]):
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try:
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with BytesIO() as buffered:
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slide.get_thumbnail(
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0.1, 0.1).save(
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buffered, drawing.imaging.ImageFormat.jpeg)
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buffered.seek(0)
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imgs.append(Image.open(buffered).copy())
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except RuntimeError as e:
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raise RuntimeError(
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f'ppt parse error at page {i + 1}, original error: {str(e)}') from e
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assert len(imgs) == len(
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txts), "Slides text and image do not match: {} vs. {}".format(
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len(imgs), len(txts))
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callback(0.9, "Image extraction finished")
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self.is_english = is_english(txts)
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return [(txts[i], imgs[i]) for i in range(len(txts))]
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class Pdf(PdfParser):
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def __init__(self):
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super().__init__()
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def __call__(self, filename, binary=None, from_page=0,
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to_page=100000, zoomin=3, callback=None, **kwargs):
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# 1. OCR
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callback(msg="OCR started")
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self.__images__(filename if not binary else binary, zoomin, from_page,
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to_page, callback)
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# 2. Layout Analysis
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callback(msg="Layout Analysis")
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self._layouts_rec(zoomin)
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# 3. Table Analysis
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callback(msg="Table Analysis")
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self._table_transformer_job(zoomin)
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# 4. Text Merge
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self._text_merge()
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# 5. Extract Tables (Force HTML)
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tbls = self._extract_table_figure(True, zoomin, True, True)
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# 6. Re-assemble Page Content
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page_items = defaultdict(list)
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# (A) Add text
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for b in self.boxes:
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# b["page_number"] is relative page number，must + from_page
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global_page_num = b["page_number"] + from_page
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if not (from_page < global_page_num <= to_page + from_page):
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continue
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page_items[global_page_num].append({
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"top": b["top"],
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"x0": b["x0"],
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"text": b["text"],
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"type": "text"
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})
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# (B) Add table and figure
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for (img, content), positions in tbls:
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if not positions:
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continue
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if isinstance(content, list):
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final_text = "\n".join(content)
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elif isinstance(content, str):
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final_text = content
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else:
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final_text = str(content)
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try:
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pn_index = positions[0][0]
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if isinstance(pn_index, list):
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pn_index = pn_index[0]
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# pn_index in tbls is absolute page number
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current_page_num = int(pn_index) + 1
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except Exception as e:
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print(f"Error parsing position: {e}")
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continue
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if not (from_page < current_page_num <= to_page + from_page):
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continue
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top = positions[0][3]
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left = positions[0][1]
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page_items[current_page_num].append({
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"top": top,
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"x0": left,
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"text": final_text,
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"type": "table_or_figure"
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})
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# 7. Generate result
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res = []
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for i in range(len(self.page_images)):
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current_pn = from_page + i + 1
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items = page_items.get(current_pn, [])
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# Sort by vertical position
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items.sort(key=lambda x: (x["top"], x["x0"]))
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full_page_text = "\n\n".join([item["text"] for item in items])
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if not full_page_text.strip():
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full_page_text = f"[No text or data found in Page {current_pn}]"
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page_img = self.page_images[i]
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res.append((full_page_text, page_img))
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callback(0.9, "Parsing finished")
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return res, []
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class PlainPdf(PlainParser):
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def __call__(self, filename, binary=None, from_page=0,
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to_page=100000, callback=None, **kwargs):
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self.pdf = pdf2_read(filename if not binary else BytesIO(binary))
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page_txt = []
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for page in self.pdf.pages[from_page: to_page]:
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page_txt.append(page.extract_text())
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callback(0.9, "Parsing finished")
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return [(txt, None) for txt in page_txt], []
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def chunk(filename, binary=None, from_page=0, to_page=100000,
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lang="Chinese", callback=None, parser_config=None, **kwargs):
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"""
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The supported file formats are pdf, pptx.
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Every page will be treated as a chunk. And the thumbnail of every page will be stored.
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PPT file will be parsed by using this method automatically, setting-up for every PPT file is not necessary.
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"""
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if parser_config is None:
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parser_config = {}
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eng = lang.lower() == "english"
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doc = {
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"docnm_kwd": filename,
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"title_tks": rag_tokenizer.tokenize(
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re.sub(r"\.[a-zA-Z]+$", "", filename))
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}
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doc["title_sm_tks"] = rag_tokenizer.fine_grained_tokenize(doc["title_tks"])
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res = []
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if re.search(r"\.pptx?$", filename, re.IGNORECASE):
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ppt_parser = Ppt()
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for pn, (txt, img) in enumerate(ppt_parser(
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filename if not binary else binary, from_page, 1000000,
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callback)):
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d = copy.deepcopy(doc)
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pn += from_page
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d["image"] = img
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d["doc_type_kwd"] = "image"
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d["page_num_int"] = [pn + 1]
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d["top_int"] = [0]
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d["position_int"] = [(pn + 1, 0, img.size[0], 0, img.size[1])]
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tokenize(d, txt, eng)
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res.append(d)
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return res
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elif re.search(r"\.pdf$", filename, re.IGNORECASE):
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layout_recognizer = parser_config.get("layout_recognize", "DeepDOC")
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if isinstance(layout_recognizer, bool):
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layout_recognizer = "DeepDOC" if layout_recognizer else "Plain Text"
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name = layout_recognizer.strip().lower()
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parser = PARSERS.get(name, by_plaintext)
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callback(0.1, "Start to parse.")
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sections, _, _ = parser(
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filename=filename,
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binary=binary,
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from_page=from_page,
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to_page=to_page,
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lang=lang,
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callback=callback,
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pdf_cls=Pdf,
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layout_recognizer=layout_recognizer,
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**kwargs
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)
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if not sections:
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return []
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if name in ["tcadp", "docling", "mineru"]:
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parser_config["chunk_token_num"] = 0
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callback(0.8, "Finish parsing.")
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for pn, (txt, img) in enumerate(sections):
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d = copy.deepcopy(doc)
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pn += from_page
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if img:
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d["image"] = img
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d["page_num_int"] = [pn + 1]
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d["top_int"] = [0]
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d["position_int"] = [(pn + 1, 0, img.size[0] if img else 0, 0,
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img.size[1] if img else 0)]
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tokenize(d, txt, eng)
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res.append(d)
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return res
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raise NotImplementedError(
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"file type not supported yet(pptx, pdf supported)")
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if __name__ == "__main__":
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import sys
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def dummy(a, b):
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pass
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chunk(sys.argv[1], callback=dummy)
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