if dict._contais_('topics') == False:
AttributeError: 'dict' object has no attribute '_contais_'
dict.__contains__()
两边是各有两个下划线
if dict._contais_('topics') = False:错了，应该是if dict.__contains__('topics') == False:,少了个n,而且要写成双下划线，dict有__contains__属性。
d={'x':'abcde'}
print(d.__contains__('x'))
#True
是
dict.__contains__()
对于后一个问题可以将save函数的第二个参数改成单个文件传递，通过循环调用写入文件。
excelname是列表，需要用“/”拼接成字符串
如果save()函数中file_name_or_filelike_obj需要保持是列表
就另外生成一个字符串传给open
file_path_str = "/".join(file_name_or_filelike_obj)
f = open(file_path_str, 'w+b')
import xlwt
# 传入xmind的路径，返回dict的列表
from xmindparser import xmind_to_dict
def resolvePath(dict, lists, title):
#使用strip去除两边空格
title = title.strip()
if len(title) == 0:
concattitle = dict['title'].strip()
else:
concattitle = title + '\t' + dict['title'].strip()
if dict._contais_('topics') == False:
lists.append(concattitle)
else:
for d in dict['topics']:
resolvePath(d, lists, concattitle)
def xmind_cat(list, excelname):
print(f'list is {list}')
wb = xlwt.Workbook()
sheet = wb.add_sheet('转化测试', cell_overwrite_ok=True)
row0 = ['第一行', '第二行', '第三行', '第四行','第五行', '第六行', '第七行']
for i in range(0, len(row0)):
sheet.write(0, i , row0[i])
index = 0
for x in range(0, len(list)):
lists = []
resolvePath(list[x], lists, '')
print('idid', len(lists))
print(lists)
for j in range(0, len(lists)):
lists[j] = lists[j].split('\t')
print('listsde jjj', lists[j])
for n in range(0, len(lists[j])):
print(lists[j][n])
sheet.write(j+index+1, 0, j+index+1)
sheet.write(j+index+1, n+1, lists[j][n])
if n>= 2:
sheet.write(0, n+1, '第几行：'+str(n-1))
if j == len(lists)- 1 :
index += len(lists)
wb.save(excelname)
def maintest(filename):
otput = xmind_to_dict(filename)
excelname = filename.split('/')
xmind_cat(otput[0]['topic']['topics'], excelname)
if __name__ == '__main__':
fname = 'D:/file_xmind/filexmind/APP与Web测试点.xmind'
maintest(fname)
我意识到了，，确实是少加了，，，
f = open(file_name_or_filelike_obj, 'w+b')
TypeError: expected str, bytes or os.PathLike object, not list
def save(self, file_name_or_filelike_obj, stream):
# 1. Align stream on 0x1000 boundary (and therefore on sector boundary)
padding = b'\x00' * (0x1000 - (len(stream) % 0x1000))
self.book_stream_len = len(stream) + len(padding)
self._build_directory()
self._build_sat()
self._build_header()
f = file_name_or_filelike_obj
we_own_it = not hasattr(f, 'write')
if we_own_it:
f = open(file_name_or_filelike_obj, 'w+b')
f.write(self.header)
f.write(self.packed_MSAT_1st)
# There are reports of large writes failing when writing to "network shares" on Windows.
# MS says in KB899149 that it happens at 32KB less than 64MB.
# This is said to be alleviated by using "w+b" mode instead of "wb".
# One xlwt user has reported anomalous results at much smaller sizes,
# The fallback is to write the stream in 4 MB chunks.
try:
f.write(stream)
except IOError as e:
if e.errno != 22: # "Invalid argument" i.e. 'stream' is too big
raise # some other problem
chunk_size = 4 * 1024 * 1024
for offset in xrange(0, len(stream), chunk_size):
f.write(buffer(stream, offset, chunk_size))
f.write(padding)
f.write(self.packed_MSAT_2nd)
f.write(self.packed_SAT)
f.write(self.dir_stream)
if we_own_it:
f.close()
我重新发了一段报错的save的库的配置的代码
if j == len(lists)- 1 :
index += len(lists)
print('ppppp')
print(excelname)
wb.save(excelname)
#打印出来：
ppppp
['D:', 'file_xmind', 'filexmind', 'APP与Web测试点.xmind']
#报错信息
f = open(file_name_or_filelike_obj, 'w+b')
TypeError: expected str, bytes or os.PathLike object, not list
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