pengjunjie/ragflow
1
0
Fork 1
mirror of https://github.com/infiniflow/ragflow.git synced 2025-12-08 20:42:30 +08:00
Code Issues Packages Projects Releases Wiki Activity

refine page ranges (#147)

Browse Source
This commit is contained in:
KevinHuSh
2024-03-25 13:11:57 +08:00
committed by GitHub
parent 1d9a50b090
commit 71fe314955
13 changed files with 169 additions and 72 deletions
Download Patch File Download Diff File Expand all files Collapse all files

53
rag/app/manual.py
View File

@ -30,8 +30,6 @@ class Pdf(PdfParser):
# print(b)
print("OCR:", timer()-start)
self._layouts_rec(zoomin)
callback(0.65, "Layout analysis finished.")
print("paddle layouts:", timer() - start)
@ -47,53 +45,8 @@ class Pdf(PdfParser):
for b in self.boxes:
b["text"] = re.sub(r"([\t 　]|\u3000){2,}", " ", b["text"].strip())
return [(b["text"], b.get("layout_no", ""), self.get_position(b, zoomin)) for i, b in enumerate(self.boxes)]
return [(b["text"], b.get("layout_no", ""), self.get_position(b, zoomin)) for i, b in enumerate(self.boxes)], tbls
# set pivot using the most frequent type of title,
# then merge between 2 pivot
if len(self.boxes)>0 and len(self.outlines)/len(self.boxes) > 0.1:
max_lvl = max([lvl for _, lvl in self.outlines])
most_level = max(0, max_lvl-1)
levels = []
for b in self.boxes:
for t,lvl in self.outlines:
tks = set([t[i]+t[i+1] for i in range(len(t)-1)])
tks_ = set([b["text"][i]+b["text"][i+1] for i in range(min(len(t), len(b["text"])-1))])
if len(set(tks & tks_))/max([len(tks), len(tks_), 1]) > 0.8:
levels.append(lvl)
break
else:
levels.append(max_lvl + 1)
else:
bull = bullets_category([b["text"] for b in self.boxes])
most_level, levels = title_frequency(bull, [(b["text"], b.get("layout_no","")) for b in self.boxes])
assert len(self.boxes) == len(levels)
sec_ids = []
sid = 0
for i, lvl in enumerate(levels):
if lvl <= most_level and i > 0 and lvl != levels[i-1]: sid += 1
sec_ids.append(sid)
#print(lvl, self.boxes[i]["text"], most_level, sid)
sections = [(b["text"], sec_ids[i], self.get_position(b, zoomin)) for i, b in enumerate(self.boxes)]
for (img, rows), poss in tbls:
sections.append((rows if isinstance(rows, str) else rows[0], -1, [(p[0]+1-from_page, p[1], p[2], p[3], p[4]) for p in poss]))
chunks = []
last_sid = -2
tk_cnt = 0
for txt, sec_id, poss in sorted(sections, key=lambda x: (x[-1][0][0], x[-1][0][3], x[-1][0][1])):
poss = "\t".join([tag(*pos) for pos in poss])
if tk_cnt < 2048 and (sec_id == last_sid or sec_id == -1):
if chunks:
chunks[-1] += "\n" + txt + poss
tk_cnt += num_tokens_from_string(txt)
continue
chunks.append(txt + poss)
tk_cnt = num_tokens_from_string(txt)
if sec_id >-1: last_sid = sec_id
return chunks, tbls
def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", callback=None, **kwargs):
@ -106,7 +59,8 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", ca
pdf_parser = Pdf() if kwargs.get("parser_config",{}).get("layout_recognize", True) else PlainParser()
sections, tbls = pdf_parser(filename if not binary else binary,
from_page=from_page, to_page=to_page, callback=callback)
if sections and len(sections[0])<3: cks = [(t, l, [0]*5) for t, l in sections]
if sections and len(sections[0])<3: sections = [(t, l, [[0]*5]) for t, l in sections]
else: raise NotImplementedError("file type not supported yet(pdf supported)")
doc = {
"docnm_kwd": filename
@ -131,6 +85,7 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", ca
break
else:
levels.append(max_lvl + 1)
else:
bull = bullets_category([txt for txt,_,_ in sections])
most_level, levels = title_frequency(bull, [(txt, l) for txt, l, poss in sections])