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# -*- coding: utf-8 -*- | |
from openpyxl import load_workbook | |
import sys | |
from io import BytesIO | |
def find_codec(blob): | |
global all_codecs | |
for c in all_codecs: | |
try: | |
blob[:1024].decode(c) | |
return c | |
except Exception as e: | |
pass | |
try: | |
blob.decode(c) | |
return c | |
except Exception as e: | |
pass | |
return "utf-8" | |
class RAGFlowExcelParser: | |
def html(self, fnm, chunk_rows=256): | |
if isinstance(fnm, str): | |
wb = load_workbook(fnm) | |
else: | |
wb = load_workbook(BytesIO(fnm)) | |
tb_chunks = [] | |
for sheetname in wb.sheetnames: | |
ws = wb[sheetname] | |
rows = list(ws.rows) | |
if not rows: continue | |
tb_rows_0 = "<tr>" | |
for t in list(rows[0]): | |
tb_rows_0 += f"<th>{t.value}</th>" | |
tb_rows_0 += "</tr>" | |
for chunk_i in range((len(rows) - 1) // chunk_rows + 1): | |
tb = "" | |
tb += f"<table><caption>{sheetname}</caption>" | |
tb += tb_rows_0 | |
for r in list(rows[1 + chunk_i * chunk_rows:1 + (chunk_i + 1) * chunk_rows]): | |
tb += "<tr>" | |
for i, c in enumerate(r): | |
if c.value is None: | |
tb += "<td></td>" | |
else: | |
tb += f"<td>{c.value}</td>" | |
tb += "</tr>" | |
tb += "</table>\n" | |
tb_chunks.append(tb) | |
return tb_chunks | |
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) | |
if not rows:continue | |
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 | |
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(list(ws.rows)) | |
return total | |
if fnm.split(".")[-1].lower() in ["csv", "txt"]: | |
encoding = find_codec(binary) | |
txt = binary.decode(encoding, errors="ignore") | |
return len(txt.split("\n")) | |
if __name__ == "__main__": | |
psr = RAGFlowExcelParser() | |
psr(sys.argv[1]) | |