aboutsummaryrefslogtreecommitdiffhomepage
path: root/libs/retry-0.9.2.dist-info/METADATA
blob: f591946edc59dc81f851f92401fb6147dede51ce (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
Metadata-Version: 2.1
Name: retry
Version: 0.9.2
Summary: Easy to use retry decorator.
Home-page: https://github.com/invl/retry
Author: invl
Author-email: invlpg@gmail.com
License: Apache License 2.0
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Software Development
Requires-Python: >=2.6
License-File: LICENSE
License-File: AUTHORS
Requires-Dist: decorator >=3.4.2
Requires-Dist: py <2.0.0,>=1.4.26

retry
=====

.. image:: https://pypip.in/d/retry/badge.png
        :target: https://pypi.python.org/pypi/retry/

.. image:: https://pypip.in/v/retry/badge.png
        :target: https://pypi.python.org/pypi/retry/

.. image:: https://pypip.in/license/retry/badge.png
        :target: https://pypi.python.org/pypi/retry/


Easy to use retry decorator.


Features
--------

- No external dependency (stdlib only).
- (Optionally) Preserve function signatures (`pip install decorator`).
- Original traceback, easy to debug.


Installation
------------

.. code-block:: bash

    $ pip install retry


API
---

retry decorator
^^^^^^^^^^^^^^^

.. code:: python

    def retry(exceptions=Exception, tries=-1, delay=0, max_delay=None, backoff=1, jitter=0, logger=logging_logger):
        """Return a retry decorator.

        :param exceptions: an exception or a tuple of exceptions to catch. default: Exception.
        :param tries: the maximum number of attempts. default: -1 (infinite).
        :param delay: initial delay between attempts. default: 0.
        :param max_delay: the maximum value of delay. default: None (no limit).
        :param backoff: multiplier applied to delay between attempts. default: 1 (no backoff).
        :param jitter: extra seconds added to delay between attempts. default: 0.
                       fixed if a number, random if a range tuple (min, max)
        :param logger: logger.warning(fmt, error, delay) will be called on failed attempts.
                       default: retry.logging_logger. if None, logging is disabled.
        """

Various retrying logic can be achieved by combination of arguments.


Examples
""""""""

.. code:: python

    from retry import retry

.. code:: python

    @retry()
    def make_trouble():
        '''Retry until succeed'''

.. code:: python

    @retry(ZeroDivisionError, tries=3, delay=2)
    def make_trouble():
        '''Retry on ZeroDivisionError, raise error after 3 attempts, sleep 2 seconds between attempts.'''

.. code:: python

    @retry((ValueError, TypeError), delay=1, backoff=2)
    def make_trouble():
        '''Retry on ValueError or TypeError, sleep 1, 2, 4, 8, ... seconds between attempts.'''

.. code:: python

    @retry((ValueError, TypeError), delay=1, backoff=2, max_delay=4)
    def make_trouble():
        '''Retry on ValueError or TypeError, sleep 1, 2, 4, 4, ... seconds between attempts.'''

.. code:: python

    @retry(ValueError, delay=1, jitter=1)
    def make_trouble():
        '''Retry on ValueError, sleep 1, 2, 3, 4, ... seconds between attempts.'''

.. code:: python

    # If you enable logging, you can get warnings like 'ValueError, retrying in
    # 1 seconds'
    if __name__ == '__main__':
        import logging
        logging.basicConfig()
        make_trouble()

retry_call
^^^^^^^^^^

.. code:: python

    def retry_call(f, fargs=None, fkwargs=None, exceptions=Exception, tries=-1, delay=0, max_delay=None, backoff=1,
                   jitter=0,
                   logger=logging_logger):
        """
        Calls a function and re-executes it if it failed.

        :param f: the function to execute.
        :param fargs: the positional arguments of the function to execute.
        :param fkwargs: the named arguments of the function to execute.
        :param exceptions: an exception or a tuple of exceptions to catch. default: Exception.
        :param tries: the maximum number of attempts. default: -1 (infinite).
        :param delay: initial delay between attempts. default: 0.
        :param max_delay: the maximum value of delay. default: None (no limit).
        :param backoff: multiplier applied to delay between attempts. default: 1 (no backoff).
        :param jitter: extra seconds added to delay between attempts. default: 0.
                       fixed if a number, random if a range tuple (min, max)
        :param logger: logger.warning(fmt, error, delay) will be called on failed attempts.
                       default: retry.logging_logger. if None, logging is disabled.
        :returns: the result of the f function.
        """

This is very similar to the decorator, except that it takes a function and its arguments as parameters. The use case behind it is to be able to dynamically adjust the retry arguments.

.. code:: python

    import requests

    from retry.api import retry_call


    def make_trouble(service, info=None):
        if not info:
            info = ''
        r = requests.get(service + info)
        return r.text


    def what_is_my_ip(approach=None):
        if approach == "optimistic":
            tries = 1
        elif approach == "conservative":
            tries = 3
        else:
            # skeptical
            tries = -1
        result = retry_call(make_trouble, fargs=["http://ipinfo.io/"], fkwargs={"info": "ip"}, tries=tries)
        print(result)

    what_is_my_ip("conservative")