mirror of
https://github.com/infiniflow/ragflow.git
synced 2025-12-08 20:42:30 +08:00
Add app to rag module: presentaion & laws (#43)
This commit is contained in:
127
rag/app/presentation.py
Normal file
127
rag/app/presentation.py
Normal file
@ -0,0 +1,127 @@
|
||||
import copy
|
||||
import re
|
||||
from io import BytesIO
|
||||
from pptx import Presentation
|
||||
|
||||
from rag.app import callback__
|
||||
from rag.nlp import huqie
|
||||
from rag.parser.pdf_parser import HuParser
|
||||
|
||||
|
||||
class Ppt(object):
|
||||
def __init__(self):
|
||||
super().__init__()
|
||||
|
||||
def __extract(self, shape):
|
||||
if shape.shape_type == 19:
|
||||
tb = shape.table
|
||||
rows = []
|
||||
for i in range(1, len(tb.rows)):
|
||||
rows.append("; ".join([tb.cell(0, j).text + ": " + tb.cell(i, j).text for j in range(len(tb.columns)) if tb.cell(i, j)]))
|
||||
return "\n".join(rows)
|
||||
|
||||
if shape.has_text_frame:
|
||||
return shape.text_frame.text
|
||||
|
||||
if shape.shape_type == 6:
|
||||
texts = []
|
||||
for p in shape.shapes:
|
||||
t = self.__extract(p)
|
||||
if t: texts.append(t)
|
||||
return "\n".join(texts)
|
||||
|
||||
def __call__(self, fnm, from_page, to_page, callback=None):
|
||||
ppt = Presentation(fnm) if isinstance(
|
||||
fnm, str) else Presentation(
|
||||
BytesIO(fnm))
|
||||
txts = []
|
||||
self.total_page = len(ppt.slides)
|
||||
for i, slide in enumerate(ppt.slides[from_page: to_page]):
|
||||
texts = []
|
||||
for shape in slide.shapes:
|
||||
txt = self.__extract(shape)
|
||||
if txt: texts.append(txt)
|
||||
txts.append("\n".join(texts))
|
||||
callback__((i+1)/self.total_page/2, "", callback)
|
||||
|
||||
callback__((min(to_page, self.total_page) - from_page) / self.total_page,
|
||||
"Page {}~{}: Text extraction finished".format(from_page, min(to_page, self.total_page)), callback)
|
||||
import aspose.slides as slides
|
||||
import aspose.pydrawing as drawing
|
||||
imgs = []
|
||||
with slides.Presentation(BytesIO(fnm)) as presentation:
|
||||
for i, slide in enumerate(presentation.slides[from_page: to_page]):
|
||||
buffered = BytesIO()
|
||||
slide.get_thumbnail(0.5, 0.5).save(buffered, drawing.imaging.ImageFormat.jpeg)
|
||||
imgs.append(buffered.getvalue())
|
||||
assert len(imgs) == len(txts), "Slides text and image do not match: {} vs. {}".format(len(imgs), len(txts))
|
||||
callback__((min(to_page, self.total_page) - from_page) / self.total_page,
|
||||
"Page {}~{}: Image extraction finished".format(from_page, min(to_page, self.total_page)), callback)
|
||||
|
||||
return [(txts[i], imgs[i]) for i in range(len(txts))]
|
||||
|
||||
|
||||
class Pdf(HuParser):
|
||||
def __init__(self):
|
||||
super().__init__()
|
||||
|
||||
def __garbage(self, txt):
|
||||
txt = txt.lower().strip()
|
||||
if re.match(r"[0-9\.,%/-]+$", txt): return True
|
||||
if len(txt) < 3:return True
|
||||
return False
|
||||
|
||||
def __call__(self, filename, binary=None, from_page=0, to_page=100000, zoomin=3, callback=None):
|
||||
self.__images__(filename if not binary else binary, zoomin, from_page, to_page)
|
||||
callback__((min(to_page, self.total_page)-from_page) / self.total_page, "Page {}~{}: OCR finished".format(from_page, min(to_page, self.total_page)), callback)
|
||||
assert len(self.boxes) == len(self.page_images), "{} vs. {}".format(len(self.boxes), len(self.page_images))
|
||||
res = []
|
||||
#################### More precisely ###################
|
||||
# self._layouts_paddle(zoomin)
|
||||
# self._text_merge()
|
||||
# pages = {}
|
||||
# for b in self.boxes:
|
||||
# if self.__garbage(b["text"]):continue
|
||||
# if b["page_number"] not in pages: pages[b["page_number"]] = []
|
||||
# pages[b["page_number"]].append(b["text"])
|
||||
# for i, lines in pages.items():
|
||||
# res.append(("\n".join(lines), self.page_images[i-1]))
|
||||
# return res
|
||||
########################################
|
||||
|
||||
for i in range(len(self.boxes)):
|
||||
lines = "\n".join([b["text"] for b in self.boxes[i] if not self.__garbage(b["text"])])
|
||||
res.append((lines, self.page_images[i]))
|
||||
return res
|
||||
|
||||
|
||||
def chunk(filename, binary=None, from_page=0, to_page=100000, callback=None):
|
||||
doc = {
|
||||
"docnm_kwd": filename,
|
||||
"title_tks": huqie.qie(re.sub(r"\.[a-zA-Z]+$", "", filename))
|
||||
}
|
||||
doc["title_sm_tks"] = huqie.qieqie(doc["title_tks"])
|
||||
res = []
|
||||
if re.search(r"\.pptx?$", filename, re.IGNORECASE):
|
||||
for txt,img in Ppt()(filename if not binary else binary, from_page, to_page, callback):
|
||||
d = copy.deepcopy(doc)
|
||||
d["content_ltks"] = huqie.qie(txt)
|
||||
d["content_sm_ltks"] = huqie.qieqie(d["content_ltks"])
|
||||
d["image"] = img
|
||||
res.append(d)
|
||||
return res
|
||||
if re.search(r"\.pdf$", filename, re.IGNORECASE):
|
||||
for txt,img in Pdf()(filename if not binary else binary, from_page=from_page, to_page=to_page, callback=callback):
|
||||
d = copy.deepcopy(doc)
|
||||
d["content_ltks"] = huqie.qie(txt)
|
||||
d["content_sm_ltks"] = huqie.qieqie(d["content_ltks"])
|
||||
d["image"] = img
|
||||
res.append(d)
|
||||
return res
|
||||
callback__(-1, "This kind of presentation document did not support yet!", callback)
|
||||
|
||||
|
||||
if __name__== "__main__":
|
||||
import sys
|
||||
print(chunk(sys.argv[1]))
|
||||
|
||||
Reference in New Issue
Block a user