本文整理汇总了Python中splunklib.client.Service方法的典型用法代码示例。如果您正苦于以下问题:Python client.Service方法的具体用法?Python client.Service怎么用?Python client.Service使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类splunklib.client
的用法示例。
在下文中一共展示了client.Service方法的9个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __init__
# 需要导入模块: from splunklib import client [as 别名]
# 或者: from splunklib.client import Service [as 别名]
def __init__(self, **kwargs):
super(Service, self).__init__(**kwargs)
self._splunk_version = None
示例2: service
# 需要导入模块: from splunklib import client [as 别名]
# 或者: from splunklib.client import Service [as 别名]
def service(self):
""" Returns a Splunk service object for this script invocation.
The service object is created from the Splunkd URI and session key
passed to the command invocation on the modular input stream. It is
available as soon as the :code:`Script.stream_events` method is
called.
:return: :class:splunklib.client.Service. A value of None is returned,
if you call this method before the :code:`Script.stream_events` method
is called.
"""
if self._service is not None:
return self._service
if self._input_definition is None:
return None
splunkd_uri = self._input_definition.metadata["server_uri"]
session_key = self._input_definition.metadata["session_key"]
scheme, netloc, _, _, _ = urlsplit(splunkd_uri, allow_fragments=False)
splunkd_host, splunkd_port = netloc.split(':')
self._service = Service(
scheme=scheme, host=splunkd_host, port=splunkd_port,
token=session_key)
return self._service
示例3: service
# 需要导入模块: from splunklib import client [as 别名]
# 或者: from splunklib.client import Service [as 别名]
def service(self):
""" Returns a Splunk service object for this command invocation or None.
The service object is created from the Splunkd URI and authentication
token passed to the command invocation in the search results info file.
This data is not passed to a command invocation by default. You must
request it by specifying this pair of configuration settings in
commands.conf:
.. code-block:: python
enableheader=true
requires_srinfo=true
The :code:`enableheader` setting is :code:`true` by default. Hence, you
need not set it. The :code:`requires_srinfo` setting is false by
default. Hence, you must set it.
:return: :class:`splunklib.client.Service`, if :code:`enableheader` and
:code:`requires_srinfo` are both :code:`true`. Otherwise, if either
:code:`enableheader` or :code:`requires_srinfo` are :code:`false`,
a value of :code:`None` is returned.
"""
if self._service is not None:
return self._service
info = self.search_results_info
if info is None:
return None
splunkd = urlsplit(info.splunkd_uri, info.splunkd_protocol, allow_fragments=False)
self._service = Service(
scheme=splunkd.scheme, host=splunkd.hostname, port=splunkd.port, token=info.auth_token, app=info.ppc_app)
return self._service
#endregion
#region Methods
示例4: connect
# 需要导入模块: from splunklib import client [as 别名]
# 或者: from splunklib.client import Service [as 别名]
def connect(**kwargs):
"""This function connects and logs in to a Splunk instance.
This function is a shorthand for :meth:`Service.login`.
The ``connect`` function makes one round trip to the server (for logging in).
:param host: The host name (the default is "localhost").
:type host: ``string``
:param port: The port number (the default is 8089).
:type port: ``integer``
:param scheme: The scheme for accessing the service (the default is "https").
:type scheme: "https" or "http"
:param verify: Enable (True) or disable (False) SSL verrification for
https connections. (optional, the default is True)
:type verify: ``Boolean``
:param `owner`: The owner context of the namespace (optional).
:type owner: ``string``
:param `app`: The app context of the namespace (optional).
:type app: ``string``
:param sharing: The sharing mode for the namespace (the default is "user").
:type sharing: "global", "system", "app", or "user"
:param `token`: The current session token (optional). Session tokens can be
shared across multiple service instances.
:type token: ``string``
:param cookie: A session cookie. When provided, you don't need to call :meth:`login`.
This parameter is only supported for Splunk 6.2+.
:type cookie: ``string``
:param autologin: When ``True``, automatically tries to log in again if the
session terminates.
:type autologin: ``boolean``
:param `username`: The Splunk account username, which is used to
authenticate the Splunk instance.
:type username: ``string``
:param `password`: The password for the Splunk account.
:type password: ``string``
:return: An initialized :class:`Service` connection.
**Example**::
import splunklib.client as client
s = client.connect(...)
a = s.apps["my_app"]
...
"""
s = Service(**kwargs)
s.login()
return s
# In preparation for adding Storm support, we added an
# intermediary class between Service and Context. Storm's
# API is not going to be the same as enterprise Splunk's
# API, so we will derive both Service (for enterprise Splunk)
# and StormService for (Splunk Storm) from _BaseService, and
# put any shared behavior on it.
示例5: post
# 需要导入模块: from splunklib import client [as 别名]
# 或者: from splunklib.client import Service [as 别名]
def post(self, path_segment="", owner=None, app=None, sharing=None, **query):
"""Performs a POST operation on the path segment relative to this endpoint.
This method is named to match the HTTP method. This method makes at least
one roundtrip to the server, one additional round trip for
each 303 status returned, plus at most two additional round trips if
the ``autologin`` field of :func:`connect` is set to ``True``.
If *owner*, *app*, and *sharing* are omitted, this method takes a
default namespace from the :class:`Service` object for this :class:`Endpoint`.
All other keyword arguments are included in the URL as query parameters.
:raises AuthenticationError: Raised when the ``Service`` is not logged in.
:raises HTTPError: Raised when an error in the request occurs.
:param path_segment: A path segment relative to this endpoint.
:type path_segment: ``string``
:param owner: The owner context of the namespace (optional).
:type owner: ``string``
:param app: The app context of the namespace (optional).
:type app: ``string``
:param sharing: The sharing mode of the namespace (optional).
:type sharing: ``string``
:param query: All other keyword arguments, which are used as query
parameters.
:type query: ``string``
:return: The response from the server.
:rtype: ``dict`` with keys ``body``, ``headers``, ``reason``,
and ``status``
**Example**::
import splunklib.client
s = client.service(...)
apps = s.apps
apps.post(name='boris') == \\
{'body': ...a response reader object...,
'headers': [('content-length', '2908'),
('expires', 'Fri, 30 Oct 1998 00:00:00 GMT'),
('server', 'Splunkd'),
('connection', 'close'),
('cache-control', 'no-store, max-age=0, must-revalidate, no-cache'),
('date', 'Fri, 11 May 2012 18:34:50 GMT'),
('content-type', 'text/xml; charset=utf-8')],
'reason': 'Created',
'status': 201}
apps.get('nonexistant/path') # raises HTTPError
s.logout()
apps.get() # raises AuthenticationError
"""
if path_segment.startswith('/'):
path = path_segment
else:
path = self.service._abspath(self.path + path_segment, owner=owner, app=app, sharing=sharing)
return self.service.post(path, owner=owner, app=app, sharing=sharing, **query)
# kwargs: path, app, owner, sharing, state
示例6: get
# 需要导入模块: from splunklib import client [as 别名]
# 或者: from splunklib.client import Service [as 别名]
def get(self, name="", owner=None, app=None, sharing=None, **query):
"""Performs a GET request to the server on the collection.
If *owner*, *app*, and *sharing* are omitted, this method takes a
default namespace from the :class:`Service` object for this :class:`Endpoint`.
All other keyword arguments are included in the URL as query parameters.
:raises AuthenticationError: Raised when the ``Service`` is not logged in.
:raises HTTPError: Raised when an error in the request occurs.
:param path_segment: A path segment relative to this endpoint.
:type path_segment: ``string``
:param owner: The owner context of the namespace (optional).
:type owner: ``string``
:param app: The app context of the namespace (optional).
:type app: ``string``
:param sharing: The sharing mode for the namespace (optional).
:type sharing: "global", "system", "app", or "user"
:param query: All other keyword arguments, which are used as query
parameters.
:type query: ``string``
:return: The response from the server.
:rtype: ``dict`` with keys ``body``, ``headers``, ``reason``,
and ``status``
**Example**::
import splunklib.client
s = client.service(...)
saved_searches = s.saved_searches
saved_searches.get("my/saved/search") == \\
{'body': ...a response reader object...,
'headers': [('content-length', '26208'),
('expires', 'Fri, 30 Oct 1998 00:00:00 GMT'),
('server', 'Splunkd'),
('connection', 'close'),
('cache-control', 'no-store, max-age=0, must-revalidate, no-cache'),
('date', 'Fri, 11 May 2012 16:30:35 GMT'),
('content-type', 'text/xml; charset=utf-8')],
'reason': 'OK',
'status': 200}
saved_searches.get('nonexistant/search') # raises HTTPError
s.logout()
saved_searches.get() # raises AuthenticationError
"""
name = UrlEncoded(name, encode_slash=True)
return super(Collection, self).get(name, owner, app, sharing, **query)
示例7: get
# 需要导入模块: from splunklib import client [as 别名]
# 或者: from splunklib.client import Service [as 别名]
def get(self, name="", owner=None, app=None, sharing=None, **query):
"""Performs a GET request to the server on the collection.
If *owner*, *app*, and *sharing* are omitted, this method takes a
default namespace from the :class:`Service` object for this :class:`Endpoint`.
All other keyword arguments are included in the URL as query parameters.
:raises AuthenticationError: Raised when the ``Service`` is not logged in.
:raises HTTPError: Raised when an error in the request occurs.
:param path_segment: A path segment relative to this endpoint.
:type path_segment: ``string``
:param owner: The owner context of the namespace (optional).
:type owner: ``string``
:param app: The app context of the namespace (optional).
:type app: ``string``
:param sharing: The sharing mode for the namespace (optional).
:type sharing: "global", "system", "app", or "user"
:param query: All other keyword arguments, which are used as query
parameters.
:type query: ``string``
:return: The response from the server.
:rtype: ``dict`` with keys ``body``, ``headers``, ``reason``,
and ``status``
Example:
import splunklib.client
s = client.service(...)
saved_searches = s.saved_searches
saved_searches.get("my/saved/search") == \\
{'body': ...a response reader object...,
'headers': [('content-length', '26208'),
('expires', 'Fri, 30 Oct 1998 00:00:00 GMT'),
('server', 'Splunkd'),
('connection', 'close'),
('cache-control', 'no-store, max-age=0, must-revalidate, no-cache'),
('date', 'Fri, 11 May 2012 16:30:35 GMT'),
('content-type', 'text/xml; charset=utf-8')],
'reason': 'OK',
'status': 200}
saved_searches.get('nonexistant/search') # raises HTTPError
s.logout()
saved_searches.get() # raises AuthenticationError
"""
name = UrlEncoded(name, encode_slash=True)
return super(Collection, self).get(name, owner, app, sharing, **query)
示例8: service
# 需要导入模块: from splunklib import client [as 别名]
# 或者: from splunklib.client import Service [as 别名]
def service(self):
""" Returns a Splunk service object for this command invocation or None.
The service object is created from the Splunkd URI and authentication token passed to the command invocation in
the search results info file. This data is not passed to a command invocation by default. You must request it by
specifying this pair of configuration settings in commands.conf:
.. code-block:: python
enableheader = true
requires_srinfo = true
The :code:`enableheader` setting is :code:`true` by default. Hence, you need not set it. The
:code:`requires_srinfo` setting is false by default. Hence, you must set it.
:return: :class:`splunklib.client.Service`, if :code:`enableheader` and :code:`requires_srinfo` are both
:code:`true`. Otherwise, if either :code:`enableheader` or :code:`requires_srinfo` are :code:`false`, a value
of :code:`None` is returned.
"""
if self._service is not None:
return self._service
metadata = self._metadata
if metadata is None:
return None
try:
searchinfo = self._metadata.searchinfo
except AttributeError:
return None
splunkd_uri = searchinfo.splunkd_uri
if splunkd_uri is None:
return None
uri = urlsplit(splunkd_uri, allow_fragments=False)
self._service = Service(
scheme=uri.scheme, host=uri.hostname, port=uri.port, app=searchinfo.app, token=searchinfo.session_key)
return self._service
# endregion
# region Methods
示例9: connect
# 需要导入模块: from splunklib import client [as 别名]
# 或者: from splunklib.client import Service [as 别名]
def connect(**kwargs):
"""This function connects and logs in to a Splunk instance.
This function is a shorthand for :meth:`Service.login`.
The ``connect`` function makes one round trip to the server (for logging in).
:param host: The host name (the default is "localhost").
:type host: ``string``
:param port: The port number (the default is 8089).
:type port: ``integer``
:param scheme: The scheme for accessing the service (the default is "https").
:type scheme: "https" or "http"
:param `owner`: The owner context of the namespace (optional).
:type owner: ``string``
:param `app`: The app context of the namespace (optional).
:type app: ``string``
:param sharing: The sharing mode for the namespace (the default is "user").
:type sharing: "global", "system", "app", or "user"
:param `token`: The current session token (optional). Session tokens can be
shared across multiple service instances.
:type token: ``string``
:param cookie: A session cookie. When provided, you don't need to call :meth:`login`.
This parameter is only supported for Splunk 6.2+.
:type cookie: ``string``
:param autologin: When ``True``, automatically tries to log in again if the
session terminates.
:type autologin: ``boolean``
:param `username`: The Splunk account username, which is used to
authenticate the Splunk instance.
:type username: ``string``
:param `password`: The password for the Splunk account.
:type password: ``string``
:return: An initialized :class:`Service` connection.
**Example**::
import splunklib.client as client
s = client.connect(...)
a = s.apps["my_app"]
...
"""
s = Service(**kwargs)
s.login()
return s
# In preparation for adding Storm support, we added an
# intermediary class between Service and Context. Storm's
# API is not going to be the same as enterprise Splunk's
# API, so we will derive both Service (for enterprise Splunk)
# and StormService for (Splunk Storm) from _BaseService, and
# put any shared behavior on it.