dataflake.fakeldap


Namedataflake.fakeldap JSON
Version 4.2 PyPI version JSON
download
home_pagehttps://github.com/dataflake/dataflake.fakeldap
SummaryMocked-up LDAP connection library
upload_time2024-03-14 08:16:58
maintainer
docs_urlNone
authorJens Vagelpohl
requires_python>=3.7
licenseZPL 2.1
keywords ldap ldapv3
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            .. image:: https://github.com/dataflake/dataflake.fakeldap/actions/workflows/tests.yml/badge.svg
   :target: https://github.com/dataflake/dataflake.fakeldap/actions/workflows/tests.yml
   :alt: Unit test status

.. image:: https://coveralls.io/repos/github/dataflake/dataflake.fakeldap/badge.svg?branch=master
   :target: https://coveralls.io/github/dataflake/dataflake.fakeldap?branch=master
   :alt: Coverage Status

.. image:: https://readthedocs.org/projects/dataflakefakeldap/badge/?version=latest
   :target: https://dataflakefakeldap.readthedocs.io
   :alt: Documentation Status

.. image:: https://img.shields.io/pypi/v/dataflake.fakeldap.svg
   :target: https://pypi.python.org/pypi/dataflake.fakeldap
   :alt: PyPI

.. image:: https://img.shields.io/pypi/pyversions/dataflake.fakeldap.svg
   :target: https://pypi.python.org/pypi/dataflake.fakeldap
   :alt: Python versions


====================
 dataflake.fakeldap
====================

This package offers a mock ``python-ldap`` library that can be used 
for testing code relying on ``python-ldap`` without having to configure 
and populate a real directory server.

Starting with version 3.0 the library will behave just like ``python-ldap``
version 3.3 or higher:

- distinguished names, relative distinguished names, attribute names and
  queries are expected to be native un-encoded string values.

- attribute values are expected to be bytes values.

If you pass the wrong type of string, the library will raise a ``TypeError``.
See https://www.python-ldap.org/en/latest/bytes_mode.html for a short
description of this behavior.

Since queries are un-encoded string values and attribute values passed in the
query would never match bytes values in the data store, searches will always
test against both unencoded and bytes values.

            

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