f314df12c3
As described in pep282 [1], the variable part of a log message should be passed in via parameter. In this case the parameters are evaluated only when they need to be. This patch fixes (unifies) this for DIB. A check using pylint was added that this kind of passing parameters to the logging subsystem is enforced in future. As a blueprint a similar (stripped-down) approach from cinder [2] was used. [1] https://www.python.org/dev/peps/pep-0282/ [2] https://github.com/openstack/cinder/blob/master/tox.ini Change-Id: I2d7bcc863e4e9583d82d204438b3c781ac99824e Signed-off-by: Andreas Florath <andreas@florath.net>
265 lines
8.7 KiB
Python
265 lines
8.7 KiB
Python
# Licensed under the Apache License, Version 2.0 (the "License"); you may
|
|
# not use this file except in compliance with the License. You may obtain
|
|
# a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
|
|
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
|
|
# License for the specific language governing permissions and limitations
|
|
# under the License.
|
|
|
|
import logging
|
|
import networkx as nx
|
|
|
|
from stevedore import extension
|
|
|
|
from diskimage_builder.block_device.exception import \
|
|
BlockDeviceSetupException
|
|
from diskimage_builder.block_device.plugin import NodeBase
|
|
from diskimage_builder.block_device.plugin import PluginBase
|
|
|
|
|
|
logger = logging.getLogger(__name__)
|
|
|
|
_extensions = extension.ExtensionManager(
|
|
namespace='diskimage_builder.block_device.plugin',
|
|
invoke_on_load=False)
|
|
|
|
|
|
# check if a given name is registered as a plugin
|
|
def is_a_plugin(name):
|
|
return any(
|
|
_extensions.map(lambda x: x.name == name))
|
|
|
|
|
|
def recurse_config(config, parent_base=None):
|
|
"""Convert a config "tree" to it's canonical name/base graph version
|
|
|
|
This is a recursive function to convert a YAML layout "tree"
|
|
config into a "flat" graph-based config.
|
|
|
|
Arguments:
|
|
:param config: the incoming config dictionary
|
|
:param parent_base: the name of the parent node, if any
|
|
:return: a list of expanded, graph-based config items
|
|
|
|
"""
|
|
output = []
|
|
this = {}
|
|
|
|
# We should only have one key, with multiple values, being the
|
|
# config entries. e.g. (this was checked by config_tree_to_graph)
|
|
# mkfs:
|
|
# type: ext4
|
|
# label: 1234
|
|
assert len(config.items()) == 1
|
|
for k, v in config.items():
|
|
key = k
|
|
values = v
|
|
|
|
# If we don't have a base, we take the parent base; first element
|
|
# can have no base, however.
|
|
if 'base' not in values:
|
|
if parent_base is not None:
|
|
this['base'] = parent_base
|
|
else:
|
|
this['base'] = values['base']
|
|
|
|
# If we don't have a name, it is made up as "key_base"
|
|
if 'name' not in values:
|
|
this['name'] = "%s_%s" % (key, this['base'])
|
|
else:
|
|
this['name'] = values['name']
|
|
|
|
# Go through the the values dictionary. Either this is a "plugin"
|
|
# key that needs to be recursed, or it is a value that is part of
|
|
# this config entry.
|
|
for nk, nv in values.items():
|
|
if nk == "partitions":
|
|
# "partitions" is a special key of the "partitioning"
|
|
# object. It is a list. Each list-entry gets treated
|
|
# as a top-level entry, so we need to recurse it's
|
|
# keys. But instead of becoming its own entry in the
|
|
# graph, it gets attached to the .partitions attribute
|
|
# of the parent. (see end for example)
|
|
this['partitions'] = []
|
|
for partition in nv:
|
|
new_part = {}
|
|
for pk, pv in partition.items():
|
|
if is_a_plugin(pk):
|
|
output.extend(
|
|
recurse_config({pk: pv}, partition['name']))
|
|
else:
|
|
new_part[pk] = pv
|
|
new_part['base'] = this['base']
|
|
this['partitions'].append(new_part)
|
|
elif is_a_plugin(nk):
|
|
# is this key a plugin directive? If so, we recurse
|
|
# into it.
|
|
output.extend(recurse_config({nk: nv}, this['name']))
|
|
else:
|
|
# A value entry; just save as part of this entry
|
|
this[nk] = nv
|
|
|
|
output.append({k: this})
|
|
return output
|
|
|
|
|
|
def config_tree_to_graph(config):
|
|
"""Turn a YAML config into a graph config
|
|
|
|
Our YAML config is a list of entries. Each
|
|
|
|
Arguments:
|
|
:parm config: YAML config; either graph or tree
|
|
:return: graph-based result
|
|
|
|
"""
|
|
output = []
|
|
|
|
for entry in config:
|
|
# Top-level entries should be a dictionary and have a plugin
|
|
# registered for it
|
|
if not isinstance(entry, dict):
|
|
raise BlockDeviceSetupException(
|
|
"Config entry not a dict: %s" % entry)
|
|
|
|
keys = list(entry.keys())
|
|
|
|
if len(keys) != 1:
|
|
raise BlockDeviceSetupException(
|
|
"Config entry top-level should be a single dict: %s" % entry)
|
|
|
|
if not is_a_plugin(keys[0]):
|
|
raise BlockDeviceSetupException(
|
|
"Config entry is not a plugin value: %s" % entry)
|
|
|
|
output.extend(recurse_config(entry))
|
|
|
|
return output
|
|
|
|
|
|
def create_graph(config, default_config):
|
|
"""Generate configuration digraph
|
|
|
|
Generate the configuration digraph from the config
|
|
|
|
:param config: graph configuration file
|
|
:param default_config: default parameters (from --params)
|
|
:return: tuple with the graph object (a :class:`nx.Digraph`),
|
|
ordered list of :class:`NodeBase` objects
|
|
|
|
"""
|
|
# This is the directed graph of nodes: each parse method must
|
|
# add the appropriate nodes and edges.
|
|
dg = nx.DiGraph()
|
|
|
|
for config_entry in config:
|
|
# this should have been checked by generate_config
|
|
assert len(config_entry) == 1
|
|
|
|
logger.debug("Config entry [%s]", config_entry)
|
|
cfg_obj_name = list(config_entry.keys())[0]
|
|
cfg_obj_val = config_entry[cfg_obj_name]
|
|
|
|
# Instantiate a "plugin" object, passing it the
|
|
# configuration entry
|
|
# XXX : would a "factory" pattern for plugins, where we
|
|
# make a method call on an object stevedore has instantiated
|
|
# be better here?
|
|
if not is_a_plugin(cfg_obj_name):
|
|
raise BlockDeviceSetupException(
|
|
("Config element [%s] is not implemented" % cfg_obj_name))
|
|
plugin = _extensions[cfg_obj_name].plugin
|
|
assert issubclass(plugin, PluginBase)
|
|
cfg_obj = plugin(cfg_obj_val, default_config)
|
|
|
|
# Ask the plugin for the nodes it would like to insert
|
|
# into the graph. Some plugins, such as partitioning,
|
|
# return multiple nodes from one config entry.
|
|
nodes = cfg_obj.get_nodes()
|
|
assert isinstance(nodes, list)
|
|
for node in nodes:
|
|
# plugins should return nodes...
|
|
assert isinstance(node, NodeBase)
|
|
# ensure node names are unique. networkx by default
|
|
# just appends the attribute to the node dict for
|
|
# existing nodes, which is not what we want.
|
|
if node.name in dg.node:
|
|
raise BlockDeviceSetupException(
|
|
"Duplicate node name: %s" % (node.name))
|
|
logger.debug("Adding %s : %s", node.name, node)
|
|
dg.add_node(node.name, obj=node)
|
|
|
|
# Now find edges
|
|
for name, attr in dg.nodes(data=True):
|
|
obj = attr['obj']
|
|
# Unfortunately, we can not determine node edges just from
|
|
# the configuration file. It's not always simply the
|
|
# "base:" pointer. So ask nodes for a list of nodes they
|
|
# want to point to. *mostly* it's just base: ... but
|
|
# mounting is different.
|
|
# edges_from are the nodes that point to us
|
|
# edges_to are the nodes we point to
|
|
edges_from, edges_to = obj.get_edges()
|
|
logger.debug("Edges for %s: f:%s t:%s", name,
|
|
edges_from, edges_to)
|
|
for edge_from in edges_from:
|
|
if edge_from not in dg.node:
|
|
raise BlockDeviceSetupException(
|
|
"Edge not defined: %s->%s" % (edge_from, name))
|
|
dg.add_edge(edge_from, name)
|
|
for edge_to in edges_to:
|
|
if edge_to not in dg.node:
|
|
raise BlockDeviceSetupException(
|
|
"Edge not defined: %s->%s" % (name, edge_to))
|
|
dg.add_edge(name, edge_to)
|
|
|
|
# this can be quite helpful debugging but needs pydotplus.
|
|
# run "dotty /tmp/out.dot"
|
|
# XXX: maybe an env var that dumps to a tmpdir or something?
|
|
# nx.nx_pydot.write_dot(dg, '/tmp/graph_dump.dot')
|
|
|
|
# Topological sort (i.e. create a linear array that satisfies
|
|
# dependencies) and return the object list
|
|
call_order_nodes = nx.topological_sort(dg)
|
|
logger.debug("Call order: %s", list(call_order_nodes))
|
|
call_order = [dg.node[n]['obj'] for n in call_order_nodes]
|
|
|
|
return dg, call_order
|
|
|
|
#
|
|
# On partitioning: objects
|
|
#
|
|
# To be concrete --
|
|
#
|
|
# partitioning:
|
|
# base: loop0
|
|
# name: mbr
|
|
# partitions:
|
|
# - name: partition1
|
|
# foo: bar
|
|
# mkfs:
|
|
# type: xfs
|
|
# mount:
|
|
# mount_point: /
|
|
#
|
|
# gets turned into the following graph:
|
|
#
|
|
# partitioning:
|
|
# partitions:
|
|
# - name: partition1
|
|
# base: image0
|
|
# foo: bar
|
|
#
|
|
# mkfs:
|
|
# base: partition1
|
|
# name: mkfs_partition1
|
|
# type: xfs
|
|
#
|
|
# mount:
|
|
# base: mkfs_partition1
|
|
# name: mount_mkfs_partition1
|
|
# mount_point: /
|