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refine manul parser (#131)
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@ -2,7 +2,7 @@ import copy
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import re
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from api.db import ParserType
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from rag.nlp import huqie, tokenize, tokenize_table, add_positions
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from rag.nlp import huqie, tokenize, tokenize_table, add_positions, bullets_category, title_frequency
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from deepdoc.parser import PdfParser
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from rag.utils import num_tokens_from_string
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@ -14,6 +14,8 @@ class Pdf(PdfParser):
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def __call__(self, filename, binary=None, from_page=0,
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to_page=100000, zoomin=3, callback=None):
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from timeit import default_timer as timer
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start = timer()
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callback(msg="OCR is running...")
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self.__images__(
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filename if not binary else binary,
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@ -23,19 +25,38 @@ class Pdf(PdfParser):
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callback
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)
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callback(msg="OCR finished.")
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#for bb in self.boxes:
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# for b in bb:
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# print(b)
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print("OCR:", timer()-start)
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def get_position(bx):
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poss = []
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pn = bx["page_number"]
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top = bx["top"] - self.page_cum_height[pn - 1]
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bott = bx["bottom"] - self.page_cum_height[pn - 1]
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poss.append((pn, bx["x0"], bx["x1"], top, min(bott, self.page_images[pn-1].size[1]/zoomin)))
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while bott * zoomin > self.page_images[pn - 1].size[1]:
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bott -= self.page_images[pn- 1].size[1] / zoomin
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top = 0
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pn += 1
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poss.append((pn, bx["x0"], bx["x1"], top, min(bott, self.page_images[pn - 1].size[1] / zoomin)))
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return poss
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def tag(pn, left, right, top, bottom):
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return "@@{}\t{:.1f}\t{:.1f}\t{:.1f}\t{:.1f}##" \
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.format(pn, left, right, top, bottom)
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from timeit import default_timer as timer
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start = timer()
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self._layouts_rec(zoomin)
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callback(0.65, "Layout analysis finished.")
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print("paddle layouts:", timer() - start)
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self._table_transformer_job(zoomin)
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callback(0.67, "Table analysis finished.")
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self._text_merge()
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self._concat_downward(concat_between_pages=False)
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tbls = self._extract_table_figure(True, zoomin, True, True)
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self._naive_vertical_merge()
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self._filter_forpages()
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callback(0.68, "Text merging finished")
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tbls = self._extract_table_figure(True, zoomin, True, True)
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# clean mess
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for b in self.boxes:
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@ -44,25 +65,33 @@ class Pdf(PdfParser):
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# merge chunks with the same bullets
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self._merge_with_same_bullet()
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# merge title with decent chunk
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i = 0
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while i + 1 < len(self.boxes):
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b = self.boxes[i]
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if b.get("layoutno","").find("title") < 0:
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i += 1
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continue
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b_ = self.boxes[i + 1]
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b_["text"] = b["text"] + "\n" + b_["text"]
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b_["x0"] = min(b["x0"], b_["x0"])
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b_["x1"] = max(b["x1"], b_["x1"])
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b_["top"] = b["top"]
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self.boxes.pop(i)
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# set pivot using the most frequent type of title,
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# then merge between 2 pivot
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bull = bullets_category([b["text"] for b in self.boxes])
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most_level, levels = title_frequency(bull, [(b["text"], b.get("layout_no","")) for b in self.boxes])
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assert len(self.boxes) == len(levels)
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sec_ids = []
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sid = 0
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for i, lvl in enumerate(levels):
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if lvl <= most_level: sid += 1
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sec_ids.append(sid)
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#print(lvl, self.boxes[i]["text"], most_level)
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callback(0.8, "Parsing finished")
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for b in self.boxes: print(b["text"], b.get("layoutno"))
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sections = [(b["text"], sec_ids[i], get_position(b)) for i, b in enumerate(self.boxes)]
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for (img, rows), poss in tbls:
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sections.append((rows[0], -1, [(p[0]+1, p[1], p[2], p[3], p[4]) for p in poss]))
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print(tbls)
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return [b["text"] + self._line_tag(b, zoomin) for b in self.boxes], tbls
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chunks = []
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last_sid = -2
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for txt, sec_id, poss in sorted(sections, key=lambda x: (x[-1][0][0], x[-1][0][3], x[-1][0][1])):
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poss = "\t".join([tag(*pos) for pos in poss])
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if sec_id == last_sid or sec_id == -1:
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if chunks:
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chunks[-1] += "\n" + txt + poss
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continue
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chunks.append(txt + poss)
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if sec_id >-1: last_sid = sec_id
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return chunks
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def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", callback=None, **kwargs):
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@ -73,7 +102,7 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", ca
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if re.search(r"\.pdf$", filename, re.IGNORECASE):
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pdf_parser = Pdf()
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cks, tbls = pdf_parser(filename if not binary else binary,
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cks = pdf_parser(filename if not binary else binary,
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from_page=from_page, to_page=to_page, callback=callback)
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else: raise NotImplementedError("file type not supported yet(pdf supported)")
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doc = {
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@ -84,16 +113,15 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", ca
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# is it English
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eng = lang.lower() == "english"#pdf_parser.is_english
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res = tokenize_table(tbls, doc, eng)
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i = 0
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chunk = []
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tk_cnt = 0
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res = []
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def add_chunk():
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nonlocal chunk, res, doc, pdf_parser, tk_cnt
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d = copy.deepcopy(doc)
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ck = "\n".join(chunk)
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tokenize(d, pdf_parser.remove_tag(ck), pdf_parser.is_english)
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tokenize(d, pdf_parser.remove_tag(ck), eng)
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d["image"], poss = pdf_parser.crop(ck, need_position=True)
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add_positions(d, poss)
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res.append(d)
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@ -101,7 +129,7 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", ca
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tk_cnt = 0
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while i < len(cks):
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if tk_cnt > 128: add_chunk()
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if tk_cnt > 256: add_chunk()
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txt = cks[i]
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txt_ = pdf_parser.remove_tag(txt)
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i += 1
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@ -109,6 +137,7 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", ca
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chunk.append(txt)
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tk_cnt += cnt
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if chunk: add_chunk()
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for i, d in enumerate(res):
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print(d)
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# d["image"].save(f"./logs/{i}.jpg")
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@ -117,6 +146,6 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", ca
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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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def dummy(prog=None, msg=""):
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pass
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chunk(sys.argv[1], callback=dummy)
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