Metadata-Version: 2.1
Name: pypingdom
Version: 0.2.2
Summary: Client for Pingdom Services
Home-page: https://github.com/sekipaolo/pypingdom
Author: Paolo Sechi
Author-email: sekipaolo@gmail.com
License: Apache v2.0
Platform: Posix; MacOS X; Windows
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: System Administrators
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Topic :: System :: Monitoring
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
Requires-Dist: requests (>=0.10.8)
Requires-Dist: six (>=1.10.0)

Pypingdom
=========

.. image:: https://img.shields.io/pypi/v/pypingdom.svg
    :target: https://pypi.python.org/pypi/pypingdom

.. image:: https://img.shields.io/pypi/l/pypingdom.svg
    :target: https://pypi.python.org/pypi/pypingdom

.. image:: https://img.shields.io/pypi/pyversions/pypingdom.svg
    :target: https://pypi.python.org/pypi/pypingdom

.. image:: https://travis-ci.org/sekipaolo/pypingdom.svg?branch=master
    :target: https://travis-ci.org/sekipaolo/pypingdom

Python library for interacting with Pingdom services (REST API and maintenance windows).


Features
--------


* Support for `Multi-User Authentication <https://www.pingdom.com/resources/api#multi-user+authentication>`_
* Check management: create, delete, update, list
* Maintenance windows: create, delete, list
* Fetching outage summaries

.. warning::

    Since the Pingdom REST API don't support maintenance windows, we interact
    with the Website for it. Therefore this feature is highly fragile and can
    *break* at any moment due to frontend changes on the Pingdom website.


Requirements
------------


* Pingdom account
* requests (0.10.8 or newer)


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

.. code-block:: python

    pip install pypingdom


Usage
-----

The `client` object will allow you to interact both with the REST API and the
GUI (for maintenance windows).

.. code-block:: python

    >>> import pypingdom
    >>> client = pypingdom.Client(username="username@example.com",
                            password="your_password",
                            apikey="your_api_key",
                            email="your_email")

the `email` parameter is required for `Multiuser Authentication <https://www.pingdom.com/resources/api#multi-user+authentication>`_.

Checks
------


Since Pingdom does not treat the check name as identifier (as we probably want
to do) the client object will retrieve the check list from the API and cache it
as a dictionary ( check_name => check_instance). You can access it through the
`checks` attribute:

.. code-block:: python

    >>> client.checks["my awesome check"]
    pingdom.Check <1895866>
      autoresolve: 0
      alert_policy: 2118909
      name: example_com
      created: 1448565930
      lasterrortime: 1489325292
      resolution: 1
      lastresponsetime: 558
      lasttesttime: 1489847772
      alert_policy_name: Production Systems
      paused: False
      host: hostname.example.com
      acktimeout: 0
      ipv6: False
      use_legacy_notifications: False
      type: http
      tags: []

a better way to retrieve a check would be:

.. code-block:: python

    >>> client.get_check("my awesome check")

that will return None if the check doesn't exists

List checks with `production` and `frontend` tags:

.. code-block:: python

    >>> client.get_checks(filters={"tags": ["production", "frontend"]})

Create a check:

.. code-block:: python

    >>> check_definition = {
            "name": "My awesome check",
            "paused": True,
            "alert_policy": 201745,
            "type": "http",
            "host": "www.google.com",
            "url": "/",
            "requestheaders": {
                'XCustom': 'my header value'
            },
            "tags": [{"name": "pypingdom-test"}, {"name": "custom-tag"}],
            "encryption": False
        }
    >>> client.create_check(check_definition)


Refers to `this page <https://www.pingdom.com/resources/api#MethodCreate+New+Check>`_ for the list of options.

When you create or modify a check some related entity need to be referenced by id:

*Integrations*

To enable/disable an integration plugins (like webhooks) use the field `integrationids` (array with integer ids to set or "null" tring to remove it)

*Alert policies*

To bind an alerting policy use the field `alert_policy` (numeric id to set it or string "null" to disable alerts)


Update a check:

.. code-block:: python

    >>> client.update_check(check, {"paused": True})

this will return True if an effective change was sent to the API and False
otherwise (useful for idempotent usage, like ansible modules)

Delete a check:

.. code-block:: python

    >>> client.delete_check(check)


Maintenance windows
-------------------

Retreive maintenance windows for production websites in the last 7 days:

.. code-block:: python

    >>> import datetime
    >>> checks = client.get_checks(filters={"tags": ["production", "frontend"]})
    >>> start = datetime.datetime.now() - datetime.timedelta(days=7)
    >>> client.get_maintenances(filters={"checks": checks, "after": start})

Create a 1 hour maintenance window for production websites:

.. code-block:: python

    >>> start = datetime.datetime.now() + datetime.timedelta(minutes=10)
    >>> end = start + datetime.timedelta(hours=1)

    >>> window = client.create_maintenance({"checks": checks, "name": "pypingdom test maintenance", "start": start, "stop": end})

Delete future maintenance windows:

.. code-block:: python

    >>> windows = client.get_maintenances(filters={"checks": checks, "after": datetime.datetime.now()}):
    >>> for m in maintenances:
        client.delete_maintenance(m)


Reporting/summary
-------------------

Retrieve average response time and uptime summaries:

.. code-block:: python

    >>> checkid = client.get_check("my awesome check")._id
    >>> start = int(time.time()) - 30*24*60*60 # 30 days back
    >>> end = time.time()
    >>> client.get_summary_average(checkid, start, end, include_uptime="true")

