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ldapper is a hassle-free Python LDAP ORM for getting real work done.
It extends the robust capabilities of python-ldap and augments it with higher-level interfaces to define your schema. Listing and fetching all your LDAP objects is easy and straightforward. Modifications and validation can be made with assurance using ldapper.
ldapper requires:
Version 0.9.0 was the last to support Python 2.
from ldapper.connection import BaseConnection
from ldapper.ldapnode import LDAPNode
from ldapper import fields
# define a connection
class Connection(BaseConnection):
BASE_DN = 'dc=example,dc=com'
URI = 'ldaps://ldap.example.com'
# define a common LDAPNode that holds the connection class you defined
class BaseModel(LDAPNode):
connection = Connection
# define a class to represent people
class Person(BaseModel):
uid = fields.StringField('uid', primary=True)
uidnumber = fields.IntegerField('uidNumber')
firstname = fields.StringField('givenName')
lastname = fields.StringField('sn')
email_addresses = fields.ListField('mailLocalAddress')
photo = fields.BinaryField('jpegPhoto', optional=True)
class Meta:
objectclasses = ['top', 'inetOrgPerson', 'inetLocalMailRecipient']
dn_format = 'uid=%(uid)s,ou=people'
primary_dnprefix = 'ou=people'
secondary_dnprefix = 'ou=people'
identifying_attrs = ['uid']
searchable_fields = [
'uid', 'uidNumber', 'givenName', 'sn', 'mailLocalAddress']
# use the Person class
person = Person.fetch('liam')
person.displayname = 'Chuck Yeager'
person.save()
person.delete()
from ldapper.query import Q
Person.filter(Q(firstname='Foo') | Q(lastname='Bar'))
Available at https://ldapper.readthedocs.io/
Please see the README.md file in the test directory for information on running unit tests.
FAQs
LDAP ORM for Python
We found that ldapper demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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