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104 lines
3.5 KiB
Python
104 lines
3.5 KiB
Python
from docx import Document
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import re
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import pandas as pd
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from collections import Counter
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from nlp import huqie
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class HuDocxParser:
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def __extract_table_content(self, tb):
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df = []
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for row in tb.rows:
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df.append([c.text for c in row.cells])
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return self.__compose_table_content(pd.DataFrame(df))
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def __compose_table_content(self, df):
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def blockType(b):
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patt = [
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("^(20|19)[0-9]{2}[年/-][0-9]{1,2}[月/-][0-9]{1,2}日*$", "Dt"),
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(r"^(20|19)[0-9]{2}年$", "Dt"),
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(r"^(20|19)[0-9]{2}[年/-][0-9]{1,2}月*$", "Dt"),
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("^[0-9]{1,2}[月/-][0-9]{1,2}日*$", "Dt"),
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(r"^第*[一二三四1-4]季度$", "Dt"),
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(r"^(20|19)[0-9]{2}年*[一二三四1-4]季度$", "Dt"),
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(r"^(20|19)[0-9]{2}[ABCDE]$", "DT"),
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("^[0-9.,+%/ -]+$", "Nu"),
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(r"^[0-9A-Z/\._~-]+$", "Ca"),
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(r"^[A-Z]*[a-z' -]+$", "En"),
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(r"^[0-9.,+-]+[0-9A-Za-z/$￥%<>（）()' -]+$", "NE"),
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(r"^.{1}$", "Sg")
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]
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for p, n in patt:
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if re.search(p, b):
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return n
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tks = [t for t in huqie.qie(b).split(" ") if len(t) > 1]
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if len(tks) > 3:
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if len(tks) < 12:
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return "Tx"
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else:
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return "Lx"
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if len(tks) == 1 and huqie.tag(tks[0]) == "nr":
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return "Nr"
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return "Ot"
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if len(df) < 2:
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return []
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max_type = Counter([blockType(str(df.iloc[i, j])) for i in range(
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1, len(df)) for j in range(len(df.iloc[i, :]))])
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max_type = max(max_type.items(), key=lambda x: x[1])[0]
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colnm = len(df.iloc[0, :])
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hdrows = [0] # header is not nessesarily appear in the first line
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if max_type == "Nu":
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for r in range(1, len(df)):
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tys = Counter([blockType(str(df.iloc[r, j]))
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for j in range(len(df.iloc[r, :]))])
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tys = max(tys.items(), key=lambda x: x[1])[0]
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if tys != max_type:
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hdrows.append(r)
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lines = []
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for i in range(1, len(df)):
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if i in hdrows:
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continue
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hr = [r - i for r in hdrows]
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hr = [r for r in hr if r < 0]
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t = len(hr) - 1
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while t > 0:
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if hr[t] - hr[t - 1] > 1:
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hr = hr[t:]
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break
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t -= 1
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headers = []
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for j in range(len(df.iloc[i, :])):
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t = []
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for h in hr:
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x = str(df.iloc[i + h, j]).strip()
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if x in t:
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continue
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t.append(x)
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t = ",".join(t)
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if t:
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t += ": "
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headers.append(t)
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cells = []
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for j in range(len(df.iloc[i, :])):
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if not str(df.iloc[i, j]):
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continue
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cells.append(headers[j] + str(df.iloc[i, j]))
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lines.append(";".join(cells))
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if colnm > 3:
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return lines
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return ["\n".join(lines)]
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def __call__(self, fnm):
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self.doc = Document(fnm)
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secs = [(p.text, p.style.name) for p in self.doc.paragraphs]
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tbls = [self.__extract_table_content(tb) for tb in self.doc.tables]
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return secs, tbls
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