mirror of
https://github.com/ceph/ceph
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Signed-off-by: John Spray <john.spray@redhat.com>
289 lines
10 KiB
ReStructuredText
289 lines
10 KiB
ReStructuredText
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ceph-mgr plugin author guide
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============================
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Creating a plugin
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-----------------
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In pybind/mgr/, create a python module. Within your module, create a class
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that inherits from ``MgrModule``.
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The most important methods to override are:
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* a ``serve`` member function for server-type modules. This
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function should block forever.
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* a ``notify`` member function if your module needs to
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take action when new cluster data is available.
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* a ``handle_command`` member function if your module
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exposes CLI commands.
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Installing a plugin
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-------------------
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Once your module is present in the location set by the
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``mgr module path`` configuration setting, you can enable it
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via the ``ceph mgr module enable`` command::
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ceph mgr module enable mymodule
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Note that the MgrModule interface is not stable, so any modules maintained
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outside of the Ceph tree are liable to break when run against any newer
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or older versions of Ceph.
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Logging
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-------
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``MgrModule`` instances have a ``log`` property which is a logger instance that
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sends log messages into the Ceph logging layer where they will be recorded
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in the mgr daemon's log file.
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Use it the same way you would any other python logger. The python
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log levels debug, info, warn, err are mapped into the Ceph
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severities 20, 4, 1 and 0 respectively.
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Exposing commands
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-----------------
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Set the ``COMMANDS`` class attribute of your plugin to a list of dicts
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like this::
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COMMANDS = [
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{
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"cmd": "foobar name=myarg,type=CephString",
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"desc": "Do something awesome",
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"perm": "rw",
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# optional:
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"poll": "true"
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}
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]
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The ``cmd`` part of each entry is parsed in the same way as internal
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Ceph mon and admin socket commands (see mon/MonCommands.h in
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the Ceph source for examples). Note that the "poll" field is optional,
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and is set to False by default.
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Configuration options
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---------------------
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Modules can load and store configuration options using the
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``set_config`` and ``get_config`` methods.
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.. note:: Use ``set_config`` and ``get_config`` to manage user-visible
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configuration options that are not blobs (like certificates). If you want to
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persist module-internal data or binary configuration data consider using
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the `KV store`_.
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You must declare your available configuration options in the
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``OPTIONS`` class attribute, like this:
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::
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OPTIONS = [
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{
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"name": "my_option"
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}
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]
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If you try to use set_config or get_config on options not declared
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in ``OPTIONS``, an exception will be raised.
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You may choose to provide setter commands in your module to perform
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high level validation. Users can also modify configuration using
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the normal `ceph config set` command, where the configuration options
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for a mgr module are named like `mgr/<module name>/<option>`.
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If a configuration option is different depending on which node
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the mgr is running on, then use *localized* configuration (
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``get_localized_config``, ``set_localized_config``). This may be necessary
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for options such as what address to listen on. Localized options may
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also be set externally with ``ceph config set``, where they key name
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is like ``mgr/<module name>/<mgr id>/<option>``
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If you need to load and store data (e.g. something larger, binary, or multiline),
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use the KV store instead of configuration options (see next section).
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Hints for using config options:
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* Reads are fast: ceph-mgr keeps a local in-memory copy, so in many cases
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you can just do a get_config every time you use a option, rather than
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copying it out into a variable.
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* Writes block until the value is persisted (i.e. round trip to the monitor),
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but reads from another thread will see the new value immediately.
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* If a user has used `config set` from the command line, then the new
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value will become visible to `get_config` immediately, although the
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mon->mgr update is asynchronous, so `config set` will return a fraction
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of a second before the new value is visible on the mgr.
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* To delete a config value (i.e. revert to default), just pass ``None`` to
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set_config.
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.. py:currentmodule:: mgr_module
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.. automethod:: MgrModule.get_config
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.. automethod:: MgrModule.set_config
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.. automethod:: MgrModule.get_localized_config
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.. automethod:: MgrModule.set_localized_config
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KV store
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--------
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Modules have access to a private (per-module) key value store, which
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is implemented using the monitor's "config-key" commands. Use
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the ``set_store`` and ``get_store`` methods to access the KV store from
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your module.
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The KV store commands work in a similar way to the configuration
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commands. Reads are fast, operating from a local cache. Writes block
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on persistence and do a round trip to the monitor.
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This data can be access from outside of ceph-mgr using the
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``ceph config-key [get|set]`` commands. Key names follow the same
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conventions as configuration options. Note that any values updated
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from outside of ceph-mgr will not be seen by running modules until
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the next restart. Users should be discouraged from accessing module KV
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data externally -- if it is necessary for users to populate data, modules
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should provide special commands to set the data via the module.
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Use the ``get_store_prefix`` function to enumerate keys within
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a particular prefix (i.e. all keys starting with a particular substring).
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.. automethod:: MgrModule.get_store
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.. automethod:: MgrModule.set_store
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.. automethod:: MgrModule.set_store_json
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.. automethod:: MgrModule.get_store_json
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.. automethod:: MgrModule.get_localized_store
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.. automethod:: MgrModule.set_localized_store
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.. automethod:: MgrModule.get_store_prefix
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Accessing cluster data
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----------------------
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Modules have access to the in-memory copies of the Ceph cluster's
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state that the mgr maintains. Accessor functions as exposed
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as members of MgrModule.
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Calls that access the cluster or daemon state are generally going
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from Python into native C++ routines. There is some overhead to this,
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but much less than for example calling into a REST API or calling into
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an SQL database.
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There are no consistency rules about access to cluster structures or
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daemon metadata. For example, an OSD might exist in OSDMap but
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have no metadata, or vice versa. On a healthy cluster these
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will be very rare transient states, but plugins should be written
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to cope with the possibility.
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Note that these accessors must not be called in the modules ``__init__``
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function. This will result in a circular locking exception.
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.. automethod:: MgrModule.get
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.. automethod:: MgrModule.get_server
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.. automethod:: MgrModule.list_servers
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.. automethod:: MgrModule.get_metadata
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.. automethod:: MgrModule.get_counter
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What if the mons are down?
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--------------------------
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The manager daemon gets much of its state (such as the cluster maps)
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from the monitor. If the monitor cluster is inaccessible, whichever
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manager was active will continue to run, with the latest state it saw
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still in memory.
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However, if you are creating a module that shows the cluster state
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to the user then you may well not want to mislead them by showing
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them that out of date state.
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To check if the manager daemon currently has a connection to
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the monitor cluster, use this function:
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.. automethod:: MgrModule.have_mon_connection
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Reporting if your module cannot run
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-----------------------------------
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If your module cannot be run for any reason (such as a missing dependency),
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then you can report that by implementing the ``can_run`` function.
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.. automethod:: MgrModule.can_run
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Note that this will only work properly if your module can always be imported:
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if you are importing a dependency that may be absent, then do it in a
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try/except block so that your module can be loaded far enough to use
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``can_run`` even if the dependency is absent.
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Sending commands
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----------------
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A non-blocking facility is provided for sending monitor commands
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to the cluster.
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.. automethod:: MgrModule.send_command
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Implementing standby mode
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-------------------------
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For some modules, it is useful to run on standby manager daemons as well
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as on the active daemon. For example, an HTTP server can usefully
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serve HTTP redirect responses from the standby managers so that
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the user can point his browser at any of the manager daemons without
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having to worry about which one is active.
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Standby manager daemons look for a subclass of ``StandbyModule``
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in each module. If the class is not found then the module is not
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used at all on standby daemons. If the class is found, then
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its ``serve`` method is called. Implementations of ``StandbyModule``
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must inherit from ``mgr_module.MgrStandbyModule``.
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The interface of ``MgrStandbyModule`` is much restricted compared to
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``MgrModule`` -- none of the Ceph cluster state is available to
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the module. ``serve`` and ``shutdown`` methods are used in the same
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way as a normal module class. The ``get_active_uri`` method enables
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the standby module to discover the address of its active peer in
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order to make redirects. See the ``MgrStandbyModule`` definition
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in the Ceph source code for the full list of methods.
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For an example of how to use this interface, look at the source code
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of the ``dashboard`` module.
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Logging
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-------
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Use your module's ``log`` attribute as your logger. This is a logger
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configured to output via the ceph logging framework, to the local ceph-mgr
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log files.
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Python log severities are mapped to ceph severities as follows:
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* DEBUG is 20
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* INFO is 4
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* WARN is 1
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* ERR is 0
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Shutting down cleanly
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---------------------
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If a module implements the ``serve()`` method, it should also implement
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the ``shutdown()`` method to shutdown cleanly: misbehaving modules
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may otherwise prevent clean shutdown of ceph-mgr.
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Limitations
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-----------
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It is not possible to call back into C++ code from a module's
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``__init__()`` method. For example calling ``self.get_config()`` at
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this point will result in an assertion failure in ceph-mgr. For modules
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that implement the ``serve()`` method, it usually makes sense to do most
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initialization inside that method instead.
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Is something missing?
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---------------------
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The ceph-mgr python interface is not set in stone. If you have a need
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that is not satisfied by the current interface, please bring it up
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on the ceph-devel mailing list. While it is desired to avoid bloating
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the interface, it is not generally very hard to expose existing data
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to the Python code when there is a good reason.
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