ragflow / deepdoc /parser /excel_parser.py
KevinHuSh
add local llm implementation (#119)
1550520
raw
history blame
1.43 kB
# -*- coding: utf-8 -*-
from openpyxl import load_workbook
import sys
from io import BytesIO
class HuExcelParser:
def __call__(self, fnm):
if isinstance(fnm, str):
wb = load_workbook(fnm)
else:
wb = load_workbook(BytesIO(fnm))
res = []
for sheetname in wb.sheetnames:
ws = wb[sheetname]
rows = list(ws.rows)
ti = list(rows[0])
for r in list(rows[1:]):
l = []
for i,c in enumerate(r):
if not c.value:continue
t = str(ti[i].value) if i < len(ti) else ""
t += (":" if t else "") + str(c.value)
l.append(t)
l = "; ".join(l)
if sheetname.lower().find("sheet") <0: l += " ——"+sheetname
res.append(l)
return res
@staticmethod
def row_number(fnm, binary):
if fnm.split(".")[-1].lower().find("xls") >= 0:
wb = load_workbook(BytesIO(binary))
total = 0
for sheetname in wb.sheetnames:
ws = wb[sheetname]
total += len(ws.rows)
return total
if fnm.split(".")[-1].lower() in ["csv", "txt"]:
txt = binary.decode("utf-8")
return len(txt.split("\n"))
if __name__ == "__main__":
psr = HuExcelParser()
psr(sys.argv[1])