像这样的东西应该工作。
CSV 模块对于像您这样的文件来说太过分了。
我在这里使用的一些 Python 习语:
dict(zip(keys, values))
-- 压缩一个键列表和一个值列表;dict
函数(或)可以将dict.update
它们消化为键值对以添加到 dict
- 映射形式的字符串插值 (
%(foo)s
) 然后可以消化一个字典
该defaults
位在那里,因此字符串插值不会因缺失值而窒息。适应您的需求。:)
.
if True: # For testing -- use the other branch to read from a file
# Declare some test content in a string...
input_content = """
Stan,Marsh,Stan Marsh,1001,899,smarsh,smarsh@info.com
Eric,Cartman,Eric Cartman,1002,898,ecartman,ecartman@info.com
""".strip()
# And use the StringIO module to create a file-like object from it.
from StringIO import StringIO
input_file = StringIO(input_content)
else:
# Or just open the file as normal. In a short script like this,
# one doesn't need to worry about closing the file - that will happen
# when the script ends.
input_file = open('example.csv', 'rb')
# Declare the fields in the order they are in the file.
# zip() will use this later with the actual fields from the file
# to create a dict mapping.
fields = ('FN', 'LN', 'NAME', 'UIDN', 'GIDN', 'CN', 'EMAIL') # Fields, in order
# Declare a template for the LDIF file. The %(...)s bits will be
# later interpolated with the dict mapping created for each input row.
template = u"""
dn: cn=%(CN)s,ou=People,dc=domain,dc=com
cn: %(CN)s
gidnumber: 20
givenname %(FN)s
homedirectory /home/users/%(USER)s
loginshell: /bin/sh
objectclass: inetOrgPerson
objectclass: posixAccount
objectclass: top
sn: %(LN)s
uid: %(USERNAME)s
telephoneNumber: %(TELE)s
uidnumber: %(UIDN)s
userpassword: {CRYPT}mrpoo
mail: %(EMAIL)s
"""
for line in input_file:
# Create `vals` with some default values. These would be overwritten
# if the CSV data (and of course the declared fields) contain them.
vals = {"USER": "XXX", "TELE": "XXX", "USERNAME": "XXX"}
# line.strip().split() will turn the string line,
# for example 'foo,baz,bar\n' (trailing new line `strip`ped out)
# into the list ['foo', 'baz', 'bar'].
# zipping it with, say, ['LN', 'FN', 'EMAIL'] would yield
# [('LN', 'foo'), ('FN', 'baz'), ('EMAIL', 'bar')] --
# ie. a list of tuples with a key and a value.
# This can be used by the `dict.update` function to replace and augment
# the default values declared above.
vals.update(zip(fields, line.strip().split(",")))
# Finally, use the interpolation operator % to merge the template with the
# values for this line and print it to standard output.
print template % vals