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authorChris St. Pierre <chris.a.st.pierre@gmail.com>2012-06-12 09:08:14 -0400
committerChris St. Pierre <chris.a.st.pierre@gmail.com>2012-06-12 09:08:14 -0400
commit8c08bfc37cb7cdec5e83005ea71f55f0cfd4259e (patch)
tree77d2f7c8f633bc4359477cdbeda1d206b33b8cf4 /src/lib/Bcfg2/Server/Plugins/PuppetENC.py
parentb15095b90848bd82714d0537339c8991387e62e1 (diff)
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added support for Puppet External Node Classifiers
Diffstat (limited to 'src/lib/Bcfg2/Server/Plugins/PuppetENC.py')
-rw-r--r--src/lib/Bcfg2/Server/Plugins/PuppetENC.py117
1 files changed, 117 insertions, 0 deletions
diff --git a/src/lib/Bcfg2/Server/Plugins/PuppetENC.py b/src/lib/Bcfg2/Server/Plugins/PuppetENC.py
new file mode 100644
index 000000000..3a8fe67fb
--- /dev/null
+++ b/src/lib/Bcfg2/Server/Plugins/PuppetENC.py
@@ -0,0 +1,117 @@
+import os
+import Bcfg2.Server
+import Bcfg2.Server.Plugin
+from subprocess import Popen, PIPE
+
+try:
+ from syck import load as yaml_load, error as yaml_error
+except ImportError:
+ try:
+ from yaml import load as yaml_load, YAMLError as yaml_error
+ except ImportError:
+ raise ImportError("No yaml library could be found")
+
+class PuppetENCFile(Bcfg2.Server.Plugin.FileBacked):
+ def HandleEvent(self, event=None):
+ return
+
+ def __str__(self):
+ return "%s: %s" % (self.__class__.__name__, self.name)
+
+
+class PuppetENC(Bcfg2.Server.Plugin.Plugin,
+ Bcfg2.Server.Plugin.Connector,
+ Bcfg2.Server.Plugin.ClientRunHooks,
+ Bcfg2.Server.Plugin.DirectoryBacked):
+ """ A plugin to run Puppet external node classifiers
+ (http://docs.puppetlabs.com/guides/external_nodes.html) """
+ name = 'PuppetENC'
+ experimental = True
+ __child__ = PuppetENCFile
+
+ def __init__(self, core, datastore):
+ Bcfg2.Server.Plugin.Plugin.__init__(self, core, datastore)
+ Bcfg2.Server.Plugin.Connector.__init__(self)
+ Bcfg2.Server.Plugin.ClientRunHooks.__init__(self)
+ Bcfg2.Server.Plugin.DirectoryBacked.__init__(self, self.data,
+ self.core.fam)
+ self.cache = dict()
+
+ def _run_encs(self, metadata):
+ cache = dict(groups=[], params=dict())
+ for enc in self.entries.keys():
+ epath = os.path.join(self.data, enc)
+ self.debug_log("PuppetENC: Running ENC %s for %s" %
+ (enc, metadata.hostname))
+ proc = Popen([epath, metadata.hostname], stdin=PIPE, stdout=PIPE,
+ stderr=PIPE)
+ (out, err) = proc.communicate()
+ rv = proc.wait()
+ if rv != 0:
+ msg = "PuppetENC: Error running ENC %s for %s (%s): %s" % \
+ (enc, metadata.hostname, rv)
+ self.logger.error("%s: %s" % (msg, err))
+ raise Bcfg2.Server.Plugin.PluginExecutionError(msg)
+ if err:
+ self.debug_log("ENC Error: %s" % err)
+
+ try:
+ yaml = yaml_load(out)
+ self.debug_log("Loaded data from %s for %s: %s" %
+ (enc, metadata.hostname, yaml))
+ except yaml_error:
+ err = sys.exc_info()[1]
+ msg = "Error decoding YAML from %s for %s: %s" % \
+ (enc, metadata.hostname, err)
+ self.logger.error(msg)
+ raise Bcfg2.Server.Plugin.PluginExecutionError(msg)
+
+ groups = []
+ if "classes" in yaml:
+ # stock Puppet ENC output format
+ groups = yaml['classes']
+ elif "groups" in yaml:
+ # more Bcfg2-ish output format
+ groups = yaml['groups']
+ if groups:
+ if isinstance(groups, list):
+ self.debug_log("ENC %s adding groups to %s: %s" %
+ (enc, metadata.hostname, groups))
+ cache['groups'].extend(groups)
+ else:
+ self.debug_log("ENC %s adding groups to %s: %s" %
+ (enc, metadata.hostname, groups.keys()))
+ for group, params in groups.items():
+ cache['groups'].append(group)
+ if params:
+ cache['params'].update(params)
+ if "parameters" in yaml and yaml['parameters']:
+ cache['params'].update(yaml['parameters'])
+ if "environment" in yaml:
+ self.logger.info("Ignoring unsupported environment section of "
+ "ENC %s for %s" % (enc, metadata.hostname))
+
+ self.cache[metadata.hostname] = cache
+
+ def get_additional_groups(self, metadata):
+ if metadata.hostname not in self.cache:
+ self._run_encs(metadata)
+ return self.cache[metadata.hostname]['groups']
+
+ def get_additional_data(self, metadata):
+ if metadata.hostname not in self.cache:
+ self._run_encs(metadata)
+ return self.cache[metadata.hostname]['params']
+
+ def end_client_run(self, metadata):
+ """ clear the entire cache at the end of each client run. this
+ guarantees that each client will run all ENCs at or near the
+ start of each run; we have to clear the entire cache instead
+ of just the cache for this client because a client that builds
+ templates that use metadata for other clients will populate
+ the cache for those clients, which we don't want. This makes
+ the caching less than stellar, but it does prevent multiple
+ runs of ENCs for a single host a) for groups and data
+ separately; and b) when a single client's metadata is
+ generated multiple times by separate templates """
+ self.cache = dict()