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PKG-INFO
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Metadata-Version: 1.0
Name: zc.zk
Version: 0.9.4
Summary: High-level ZooKeeper API
Home-page: UNKNOWN
Author: Jim Fulton
Author-email: [email protected]
License: ZPL 2.1
Description: ========================
High-level ZooKeeper API
========================
The zc.zk package provides some high-level interfaces to the low-level
zookeeper extension. It's not complete, in that it doesn't try, at
this time, to be a complete high-level interface. Rather, it provides
facilities we need to use ZooKeeper to connect services:
- ZODB database clients and servers
- HTTP-based clients and services
- Load balancers and HTTP application servers
The current (initial) use cases are:
- Register a server providing a service.
- Get the addresses of servers providing a service.
- Get and set service configuration data.
- Model system architecture as a tree.
This package makes no effort to support Windows. (Patches to support
Windows might be accepted if they don't add much complexity.)
.. contents::
Installation
============
You can install this as you would any other distribution. Note,
however, that you must also install the Python ZooKeeper binding
provided with ZooKeeper. Because this binding is packaged a number of
different ways, it isn't listed as a distribution requirement.
An easy way to get the Python zookeeper binding is by installing
``zc-zookeeper-static``, which is a self-contained statically built
distribution.
Instantiating a ZooKeeper helper
================================
To use the helper API, create a ZooKeeper instance::
>>> import zc.zk
>>> zk = zc.zk.ZooKeeper('zookeeper.example.com:2181')
The ZooKeeper constructor takes a ZooKeeper connection string, which is a
comma-separated list of addresses of the form *HOST:PORT*. It defaults
to ``'127.0.0.1:2181'``, which is convenient during development.
Register a server providing a service
=====================================
To register a server, use the ``register_server`` method, which takes
a service path and the address a server is listing on::
>>> zk.register_server('/fooservice/providers', ('192.168.0.42', 8080))
.. test
>>> import os
>>> zk.get_properties('/fooservice/providers/192.168.0.42:8080'
... ) == dict(pid=os.getpid())
True
``register_server`` creates a read-only ephemeral ZooKeeper node as a
child of the given service path. The name of the new node is (a
string representation of) the given address. This allows clients to
get the list of addresses by just getting the list of the names of
children of the service path.
Ephemeral nodes have the useful property that they're automatically
removed when a ZooKeeper session is closed or when the process
containing it dies. De-registration is automatic.
When registering a server, you can optionally provide server (node)
data as additional keyword arguments to register_server. By default,
the process id is set as the ``pid`` property. This is useful to
tracking down the server process. In addition, an event is generated,
providing subscribers to add properties as a server is being
registered. (See `Server-registration events`_.)
Get the addresses of service providers
======================================
Getting the addresses providing a service is accomplished by getting the
children of a service node::
>>> addresses = zk.children('/fooservice/providers')
>>> sorted(addresses)
['192.168.0.42:8080']
The ``children`` method returns an iterable of names of child nodes of
the node specified by the given path. The iterable is automatically
updated when new providers are registered::
>>> zk.register_server('/fooservice/providers', ('192.168.0.42', 8081))
>>> sorted(addresses)
['192.168.0.42:8080', '192.168.0.42:8081']
You can also get the number of children with ``len``::
>>> len(addresses)
2
You can call the iterable with a callback function that is called
whenever the list of children changes::
>>> @zk.children('/fooservice/providers')
... def addresses_updated(addresses):
... print 'addresses changed'
... print sorted(addresses)
addresses changed
['192.168.0.42:8080', '192.168.0.42:8081']
The callback is called immediately with the children. When we add
another child, it'll be called again::
>>> zk.register_server('/fooservice/providers', ('192.168.0.42', 8082))
addresses changed
['192.168.0.42:8080', '192.168.0.42:8081', '192.168.0.42:8082']
Get service configuration data
==============================
You get service configuration data by getting properties associated with a
ZooKeeper node. The interface for getting properties is similar to the
interface for getting children::
>>> data = zk.properties('/fooservice')
>>> data['database']
u'/databases/foomain'
>>> data['threads']
1
The ``properties`` method returns a mapping object that provides access to
node data. (ZooKeeper only stores string data for nodes. ``zc.zk``
provides a higher-level data interface by storing JSON strings.)
The properties objects can be called with callback functions and used
as function decorators to get update notification::
>>> @zk.properties('/fooservice')
... def data_updated(data):
... print 'data updated'
... for item in sorted(data.items()):
... print '%s: %r' % item
data updated
database: u'/databases/foomain'
favorite_color: u'red'
threads: 1
The callback is called immediately. It'll also be called when data are
updated.
Updating node properties
========================
You can't set properties, but you can update properties by calling the
``update`` method::
>>> thread_info = {'threads': 2}
>>> data.update(thread_info, secret='123')
data updated
database: u'/databases/foomain'
favorite_color: u'red'
secret: u'123'
threads: 2
or by calling the ``set`` method, which removes keys not listed::
>>> data.set(threads= 3, secret='1234')
data updated
secret: u'1234'
threads: 3
Both ``update`` and ``set`` can take data from a positional data argument, or
from keyword parameters. Keyword parameters take precedent over the
positional data argument.
Tree-definition format, import, and export
==========================================
You can describe a ZooKeeper tree using a textual tree
representation. You can then populate the tree by importing the
representation. Heres an example::
/lb : ipvs
/pools
/cms
# The address is fixed because it's
# exposed externally
address = '1.2.3.4:80'
providers -> /cms/providers
/retail
address = '1.2.3.5:80'
providers -> /cms/providers
/cms : z4m cms
threads = 3
/providers
/databases
/main
/providers
/retail : z4m retail
threads = 1
/providers
/databases
main -> /cms/databases/main
/ugc
/providers
.. -> tree_text
This example defines a tree with 3 top nodes, ``lb`` and ``cms``, and
``retail``. The ``retail`` node has two sub-nodes, ``providers`` and
``databases`` and a property ``threads``.
The ``/retail/databases`` node has symbolic link, ``main`` and a
``ugc`` sub-node. The symbolic link is implemented as a property named
`` We'll say more about symbolic links in a later section.
The ``lb``, ``cms`` and ``retail`` nodes have *types*. A type is
indicated by following a node name with a colon and a string value.
The string value is used to populate a ``type`` property. Types are
useful to document the kinds of services provided at a node and can be
used by deployment tools to deploy service providers.
You can import a tree definition with the ``import_tree`` method::
>>> zk.import_tree(tree_text)
This imports the tree at the top of the ZooKeeper tree.
We can also export a ZooKeeper tree::
>>> print zk.export_tree(),
/cms : z4m cms
threads = 3
/databases
/main
/providers
/providers
/fooservice
secret = u'1234'
threads = 3
/providers
/lb : ipvs
/pools
/cms
address = u'1.2.3.4:80'
providers -> /cms/providers
/retail
address = u'1.2.3.5:80'
providers -> /cms/providers
/retail : z4m retail
threads = 1
/databases
main -> /cms/databases/main
/ugc
/providers
/providers
Note that when we export a tree:
- The special reserved top-level zookeeper node is omitted.
- Ephemeral nodes are omitted.
- Each node's information is sorted by type (properties, then links,
- then sub-nodes) and then by name,
You can export just a portion of a tree::
>>> print zk.export_tree('/fooservice'),
/fooservice
secret = u'1234'
threads = 3
/providers
You can optionally see ephemeral nodes::
>>> print zk.export_tree('/fooservice', ephemeral=True),
/fooservice
secret = u'1234'
threads = 3
/providers
/192.168.0.42:8080
pid = 81176
/192.168.0.42:8081
pid = 81176
/192.168.0.42:8082
pid = 81176
We can import a tree over an existing tree and changes will be
applied. Let's update our textual description::
/lb : ipvs
/pools
/cms
# The address is fixed because it's
# exposed externally
address = '1.2.3.4:80'
providers -> /cms/providers
/cms : z4m cms
threads = 4
/providers
/databases
/main
/providers
.. -> tree_text
and re-import::
>>> zk.import_tree(tree_text)
extra path not trimmed: /lb/pools/retail
We got a warning about nodes left over from the old tree. We can see
this if we look at the tree::
>>> print zk.export_tree(),
/cms : z4m cms
threads = 4
/databases
/main
/providers
/providers
/fooservice
secret = u'1234'
threads = 3
/providers
/lb : ipvs
/pools
/cms
address = u'1.2.3.4:80'
providers -> /cms/providers
/retail
address = u'1.2.3.5:80'
providers -> /cms/providers
/retail : z4m retail
threads = 1
/databases
main -> /cms/databases/main
/ugc
/providers
/providers
If we want to trim these, we can add a ``trim`` option. This is a
little scary, so we'll use the dry-run option to see what it's going
to do::
>>> zk.import_tree(tree_text, trim=True, dry_run=True)
would delete /lb/pools/retail.
That's what we'd expect, so we go ahead::
>>> zk.import_tree(tree_text, trim=True)
>>> print zk.export_tree(),
/cms : z4m cms
threads = 4
/databases
/main
/providers
/providers
/fooservice
secret = u'1234'
threads = 3
/providers
/lb : ipvs
/pools
/cms
address = u'1.2.3.4:80'
providers -> /cms/providers
/retail : z4m retail
threads = 1
/databases
main -> /cms/databases/main
/ugc
/providers
/providers
Note that nodes containing (directly or recursively) ephemeral nodes
will never be trimmed. Also node that top-level nodes are never
automatically trimmed. So we weren't warned about the unreferenced
top-level nodes in the import.
Recursive deletion
==================
ZooKeeper only allows deletion of nodes without children.
The ``delete_recursive`` method automates removing a node and all of
it's children.
If we want to remove the ``retail`` top-level node, we can use
delete_recursive::
>>> zk.delete_recursive('/retail')
>>> print zk.export_tree(),
/cms : z4m cms
threads = 4
/databases
/main
/providers
/providers
/fooservice
secret = u'1234'
threads = 3
/providers
/lb : ipvs
/pools
/cms
address = u'1.2.3.4:80'
providers -> /cms/providers
Bt default, ``delete_recursive`` won't delete ephemeral nodes, or
nodes that contain them::
>>> zk.delete_recursive('/fooservice')
Not deleting /fooservice/providers/192.168.0.42:8080 because it's ephemeral.
Not deleting /fooservice/providers/192.168.0.42:8081 because it's ephemeral.
Not deleting /fooservice/providers/192.168.0.42:8082 because it's ephemeral.
/fooservice/providers not deleted due to ephemeral descendent.
/fooservice not deleted due to ephemeral descendent.
You can use the ``force`` option to force ephemeral nodes to be
deleted.
Symbolic links
==============
ZooKeeper doesn't have a concept of symbolic links, but ``zc.zk``
provides a convention for dealing with symbolic links. When trying to
resolve a path, if a node lacks a child, but have a property with a
name ending in ``' ->'``, the child will be found by following the
path in the property value.
The ``resolve`` method is used to resolve a path to a real path::
>>> zk.resolve('/lb/pools/cms/providers')
u'/cms/providers'
In this example, the link was at the endpoint of the virtual path, but
it could be anywhere::
>>> zk.register_server('/cms/providers', '1.2.3.4:5')
>>> zk.resolve('/lb/pools/cms/providers/1.2.3.4:5')
u'/cms/providers/1.2.3.4:5'
Note a limitation of symbolic links is that they can be hidden by
children. For example, if we added a real node, at
``/lb/pools/cms/provioders``, it would shadow the link.
``children``, ``properties``, and ``register_server`` will
automatically use ``resolve`` to resolve paths.
When the ``children`` and ``properties`` are used for a node, the
paths they use will be adjusted dynamically when paths are removed.
To illustrate this, let's get children of ``/cms/databases/main``::
>>> main_children = zk.children('/cms/databases/main')
>>> main_children.path
'/cms/databases/main'
>>> main_children.real_path
'/cms/databases/main'
.. test
>>> main_properties = zk.properties('/cms/databases/main')
>>> main_properties.path
'/cms/databases/main'
>>> main_properties.real_path
'/cms/databases/main'
``Children`` and ``Properties`` objects have a ``path`` attribute that
has the value passed to the ``children`` or ``properties``
methods. They have a ``real_path`` attribute that contains the path
after resolving symbolic links. Let's suppose we want to move the
database node to '/databases/cms'. First we'll export it::
>>> export = zk.export_tree('/cms/databases/main', name='cms')
>>> print export,
/cms
/providers
Note that we used the export ``name`` option to specify a new name for
the exported tree.
Now, we'll create a databases node::
>>> zk.create('/databases', '', zc.zk.OPEN_ACL_UNSAFE)
'/databases'
And import the export::
>>> zk.import_tree(export, '/databases')
>>> print zk.export_tree('/databases'),
/databases
/cms
/providers
Next, we'll create a symbolic link at the old location. We can use the
``ln`` convenience method::
>>> zk.ln('/databases/cms', '/cms/databases/main')
>>> zk.get_properties('/cms/databases')
{u'main ->': u'/databases/cms'}
Now, we can remove ``/cms/databases/main`` and ``main_children`` will
be updated::
>>> zk.delete_recursive('/cms/databases/main')
>>> main_children.path
'/cms/databases/main'
>>> main_children.real_path
u'/databases/cms'
.. test
>>> main_properties.path
'/cms/databases/main'
>>> main_properties.real_path
u'/databases/cms'
If we update ``/databases/cms``, ``main_children`` will see the
updates::
>>> sorted(main_children)
['providers']
>>> zk.delete('/databases/cms/providers')
0
>>> sorted(main_children)
[]
.. test
>>> dict(main_properties)
{}
>>> zk.properties('/databases/cms').set(a=1)
>>> dict(main_properties)
{u'a': 1}
Symbolic links can be relative. If a link doesn't start with a slash,
it's interpreted relative to the node the link occurs in. The special
names ``.`` and ``..`` have their usual meanings.
So, in::
/a
/b
l -> c
l2 -> ../c
/c
/c
.. -> relative_link_source
>>> zk.import_tree(relative_link_source)
>>> zk.resolve('/a/b/l')
u'/a/b/c'
>>> zk.resolve('/a/b/l2')
u'/a/c'
>>> zk.delete_recursive('/a')
The link at ``/a/b/l`` resolves to ``/a/b/c`` and ``/a/b/l2`` resolves
to ``/a/c``.
Property links
==============
In addition to symbolic links between nodes, you can have links
between properties. In our earlier example, both the ``/cms`` and
``/fooservice`` nodes had ``threads`` properties::
/cms : z4m cms
threads = 4
/databases
/main
/providers
/providers
/fooservice
secret = u'1234'
threads = 3
/providers
/lb : ipvs
/pools
/cms
address = u'1.2.3.4:80'
providers -> /cms/providers
If we wanted ``/cms`` to have the same ``threads`` settings, we could
use a property link::
/cms : z4m cms
threads => /fooservice threads
/databases
/main
/providers
/providers
/fooservice
secret = u'1234'
threads = 3
/providers
/lb : ipvs
/pools
/cms
address = u'1.2.3.4:80'
providers -> /cms/providers
.. -> property_link_source
>>> _ = zk.create('/test-propery-links', '', zc.zk.OPEN_ACL_UNSAFE)
>>> zk.import_tree(property_link_source, '/test-propery-links')
>>> properties = zk.properties('/test-propery-links/cms')
>>> properties['threads =>']
u'/fooservice threads'
>>> properties['threads']
3
>>> zk.import_tree('/cms\n threads => /fooservice\n',
... '/test-propery-links')
extra path not trimmed: /test-propery-links/cms/databases
extra path not trimmed: /test-propery-links/cms/providers
>>> properties['threads =>']
u'/fooservice'
>>> properties['threads']
3
>>> zk.delete_recursive('/test-propery-links')
Property links are indicated with ``=>``. The value is a node path and
optional property name, separated by whitespace. If the name is
ommitted, then the refering name is used. For example, the name could
be left off of the property link above.
Node deletion
=============
If a node is deleted and ``Children`` or ``Properties`` instances have
been created for it, and the paths they were created with can't be
resolved using symbolic links, then the instances' data will be
cleared. Attempts to update properties will fail. If callbacks have
been registered, they will be called without arguments, if possible.
It would be bad, in practice, to remove a node that processes are
watching.
Registering a server with a blank hostname
==========================================
It's common to use an empty string for a host name when calling bind
to listen on all IPv4 interfaces. If you pass an address with an
empty host to ``register_server`` and `netifaces
<http://alastairs-place.net/projects/netifaces/>`_ is installed, then
all of the IPv4 addresses [#ifaces]_ (for the given port) will be
registered. If netifaces isn't installed and you pass an empty host
name, then the fully-qualified domain name, as returned by
``socket.getfqdn()`` will be used for the host.
Server-registration events
==========================
When ``register_server`` is called, a ``zc.zk.RegisteringServer``
event is emmitted with a properties attribute that can be updated by
subscribers prior to creating the ZooKeeper ephemeral node. This
allows third-party code to record extra server information.
Events are emitted by passing them to ``zc.zk.event.notify``. If
``zope.event`` is installed, then ``zc.zk.event.notify`` is an alias
for ``zope.event.notify``, otherwise, ``zc.zk.event.notify`` is an
empty function that can be replaced by applications.
ZooKeeper Session Management
============================
``zc.zk`` takes care of ZooKeeper session management for you. It
establishes and, if necessary, reestablishes sessions for you. In
particular, it takes care of reestablishing ZooKeeper watches and
ephemeral nodes when a session is reestablished.
Note
To reestablish ephemeral nodes, it's necessary for ``zc.zk`` to
track node-moderation operations, so you have to access the
ZooKeeper APIs through the `zc.zk.ZooKeeper`_ object, rather than
using the low-level extension directly.
ZooKeeper logging
=================
``zc.zk`` bridges the low-level ZooKeeper logging API and the Python
logging API. ZooKeeper log messages are forwarded to the Python
``'ZooKeeper'`` logger.
zookeeper_export script
=======================
The `zc.zk` package provides a utility script for exporting a
ZooKeeper tree::
$ zookeeper_export -e zookeeper.example.com:2181 /fooservice
/fooservice
secret = u'1234'
threads = 3
/providers
/192.168.0.42:8080
pid = 7981
/192.168.0.42:8081
pid = 7981
/192.168.0.42:8082
pid = 7981
.. -> sh
>>> command, expected = sh.strip().split('\n', 1)
>>> _, command, args = command.split(None, 2)
>>> import pkg_resources
>>> export = pkg_resources.load_entry_point(
... 'zc.zk', 'console_scripts', command)
>>> import sys, StringIO
>>> sys.stdout = f = StringIO.StringIO(); export(args.split())
>>> got = f.getvalue()
>>> import zc.zk.tests
>>> zc.zk.tests.checker.check_output(expected.strip(), got.strip(), 0)
True
>>> export(['zookeeper.example.com:2181', '/fooservice'])
/fooservice
secret = u'1234'
threads = 3
/providers
>>> export(['zookeeper.example.com:2181'])
/cms : z4m cms
threads = 4
/databases
main -> /databases/cms
/providers
/databases
/cms
a = 1
/fooservice
secret = u'1234'
threads = 3
/providers
/lb : ipvs
/pools
/cms
address = u'1.2.3.4:80'
providers -> /cms/providers
>>> export(['zookeeper.example.com:2181', '/fooservice', '-oo'])
>>> print open('o').read(),
/fooservice
secret = u'1234'
threads = 3
/providers
The export script provides the same features as the ``export_tree``
method. Use the ``--help`` option to see how to use it.
zookeeper_import script
=======================
The `zc.zk` package provides a utility script for importing a
ZooKeeper tree. So, for example, given the tree::
/provision
/node1
/node2
.. -> file_source
>>> with open('mytree.txt', 'w') as f: f.write(file_source)
In the file ``mytree.txt``, we can import the file like this::
$ zookeeper_import zookeeper.example.com:2181 mytree.txt /fooservice
.. -> sh
>>> command = sh.strip()
>>> expected = ''
>>> _, command, args = command.split(None, 2)
>>> import_ = pkg_resources.load_entry_point(
... 'zc.zk', 'console_scripts', command)
>>> import_(args.split())
>>> zk.print_tree()
/cms : z4m cms
threads = 4
/databases
main -> /databases/cms
/providers
/1.2.3.4:5
pid = 4102
/databases
/cms
a = 1
/fooservice
secret = u'1234'
threads = 3
/providers
/192.168.0.42:8080
pid = 4102
/192.168.0.42:8081
pid = 4102
/192.168.0.42:8082
pid = 4102
/provision
/node1
/node2
/lb : ipvs
/pools
/cms
address = u'1.2.3.4:80'
providers -> /cms/providers
Read from stdin:
>>> stdin = sys.stdin
>>> sys.stdin = StringIO.StringIO('/x\n/y')
>>> import_('-d zookeeper.example.com:2181 - /fooservice'.split())
add /fooservice/x
add /fooservice/y
>>> sys.stdin = StringIO.StringIO('/x\n/y')
>>> import_('-d zookeeper.example.com:2181'.split())
add /x
add /y
Trim:
>>> sys.stdin = StringIO.StringIO('/provision\n/y')
>>> import_('-dt zookeeper.example.com:2181 - /fooservice'.split())
would delete /fooservice/provision/node1.
would delete /fooservice/provision/node2.
add /fooservice/y
>>> sys.stdin = stdin
The import script provides the same features as the ``import_tree``
method, with the exception that it provides less flexibility for
specifing access control lists. Use the ``--help`` option to see how
to use it.
Iterating over a tree
=====================
The ``walk`` method can be used to walk over the nodes in a tree::
>>> for path in zk.walk():
... print path
/
/cms
/cms/databases
/cms/providers
/cms/providers/1.2.3.4:5
/databases
/databases/cms
/fooservice
/fooservice/providers
/fooservice/providers/192.168.0.42:8080
/fooservice/providers/192.168.0.42:8081
/fooservice/providers/192.168.0.42:8082
/fooservice/provision
/fooservice/provision/node1
/fooservice/provision/node2
/lb
/lb/pools
/lb/pools/cms
/zookeeper
/zookeeper/quota
>>> for path in zk.walk('/fooservice'):
... print path
/fooservice
/fooservice/providers
/fooservice/providers/192.168.0.42:8080
/fooservice/providers/192.168.0.42:8081
/fooservice/providers/192.168.0.42:8082
/fooservice/provision
/fooservice/provision/node1
/fooservice/provision/node2
Modifications to nodes are reflected while traversing::
>>> for path in zk.walk('/fooservice'):
... print path
... if 'provision' in zk.get_children(path):
... zk.delete_recursive(path+'/provision')
/fooservice
/fooservice/providers
/fooservice/providers/192.168.0.42:8080
/fooservice/providers/192.168.0.42:8081
/fooservice/providers/192.168.0.42:8082
Graph analysis
==============
The textual tree representation can be used to model and analyze a
system architecturte. You can get a parsed representation of a tree
using ``zc.zk.parse_tree`` to parse a text tree representation
generated by hand for import, or using the ``export_tree`` method.
::
>>> tree = zc.zk.parse_tree(tree_text)
>>> sorted(tree.children)
['cms', 'lb']
>>> tree.children['lb'].properties
{'type': 'ipvs'}
The demo module, ``zc.zk.graphvis`` shows how you might generate
system diagrams from tree models.
Reference
=========
zc.zk.ZooKeeper
---------------
``zc.zk.ZooKeeper([connection_string[, session_timeout[, wait]]])``
Return a new instance given a ZooKeeper connection string.
The connection string defaults to '127.0.0.1:2181'.
If a session timeout (``session_timeout``) isn't specified, the
ZooKeeper server's default session timeout is used. If the
connection to ZooKeeper flaps, setting this to a higher value can
avoid having clients think a server has gone away, when it hasn't.
The downside of setting this to a higher value is that if a server
crashes, it will take longer for ZooKeeper to notice that it's
gone.
The ``wait`` flag indicates whether the constructor should wait
for a connection to ZooKeeper. It defaults to False.
If a connection can't be made, a ``zc.zk.FailedConnect`` exception
is raised.
``children(path)``
Return a `zc.zk.Children`_ for the path.
Note that there is a fair bit of machinery in `zc.zk.Children`_
objects to support keeping them up to date, callbacks, and cleaning
them up when they are no-longer used. If you only want to get the
list of children once, use ``get_children``.
``create_recursive(path, data, acl)``
Create a non-ephemeral node at the given path, creating parent
nodes if necessary.
``close()``
Close the ZooKeeper session.
This should be called when cleanly shutting down servers to more
quickly remove ephemeral nodes.
``delete_recursive(path[, dry_run[, force[, ignore_if_ephemeral]]])``
Delete a node and all of it's sub-nodes.
Ephemeral nodes or nodes containing them are not deleted by
default. To force deletion of ephemeral nodes, supply the ``force``
option with a true value.
Normally, a message is printed if a node can't be deleted because
it's ephemeral or has ephemeral sub-nodes. If the
``ignore_if_ephemeral`` option is true, the a message isn't printed
if the node's path was passed to ``delete_recursive`` directly.
(This is used by ``import_tree`` when the only nodes that would be
trimmed are ephemeral nodes.)
The dry_run option causes a summary of what would be deleted to be
printed without actually deleting anything.
``export_tree(path[, ephemeral[, name]])``
Export a tree to a text representation.
path
The path to export.
ephemeral
Boolean, defaulting to false, indicating whether to include
ephemeral nodes in the export. Including ephemeral nodes is
mainly useful for visualizing the tree state.
name
The name to use for the top-level node.