def get_live_data(self):
"""Find the objects which match the request.
This function scans a list of objects (hosts, services, etc.) and
applies the filter functions first. The remaining objects are
converted to simple dicts which have only the keys that were
requested through Column: attributes. """
# We will use prefiltercolumns here for some serious speedup.
# For example, if nagvis wants Filter: host_groups >= hgxy
# we don't have to use the while list of hostgroups in
# the innermost loop
# Filter: host_groups >= linux-servers
# host_groups is a service attribute
# We can get all services of all hosts of all hostgroups and filter at the end
# But it would save a lot of time to already filter the hostgroups. This means host_groups must be hard-coded
# Also host_name, but then we must filter the second step.
# And a mixture host_groups/host_name with FilterAnd/Or? Must have several filter functions
handler = self.objects_get_handlers.get(self.table, None)
if not handler:
print("Got unhandled table: %s" % (self.table))
return []
# Get the function which implements the Filter: statements
filter_func = self.filter_stack.get_stack()
without_filter = len(self.filtercolumns) == 0
cs = LiveStatusConstraints(filter_func, without_filter, self.authuser)
result = handler(self, cs)
# A LiveStatusWaitQuery is launched several times, so we need to
# put back the big filter function
self.filter_stack.put_stack(filter_func)
return result
def launch_query(self):
""" Prepare the request object's filter stacks """
# The Response object needs to access the Query
self.response.load(self)
# A minimal integrity check
if not self.table:
return []
# Ask the cache if this request was already answered under the same
# circumstances. (And f not, whether this query is cacheable at all)
cacheable, cache_hit, cached_response = self.query_cache.get_cached_query(
self.metainfo)
if cache_hit:
self.columns = cached_response['columns']
self.response.columnheaders = cached_response['columnheaders']
return cached_response['result']
# Make columns unique
self.filtercolumns = list(set(self.filtercolumns))
self.prefiltercolumns = list(set(self.prefiltercolumns))
self.stats_columns = list(set(self.stats_columns))
if self.stats_query:
if len(self.columns) > 0:
# StatsGroupBy is deprecated. Columns: can be used instead
self.stats_group_by = self.columns
elif len(self.stats_group_by) > 0:
self.columns = self.stats_group_by + self.stats_columns
#if len(self.stats_columns) > 0 and len(self.columns) == 0:
if len(self.stats_columns) > 0:
self.columns = self.stats_columns + self.columns
else:
if len(self.columns) == 0:
self.outputcolumns = list_livestatus_attributes(self.table)
else:
self.outputcolumns = self.columns
# Make one big filter where the single filters are anded
self.filter_stack.and_elements(self.filter_stack.qsize())
# Get the function which implements the Filter: statements
filter_func = self.filter_stack.get_stack()
without_filter = len(self.filtercolumns) == 0
cs = LiveStatusConstraints(filter_func, without_filter, self.authuser)
try:
# Remember the number of stats filters. We need these numbers as columns later.
# But we need to ask now, because get_live_data() will empty the stack
num_stats_filters = self.stats_filter_stack.qsize()
if self.table == 'log':
result = self.get_live_data_log(cs)
else:
# If the pnpgraph_present column is involved, then check
# with each request if the pnp perfdata path exists
if 'pnpgraph_present' in self.columns + self.filtercolumns + self.prefiltercolumns and self.pnp_path and os.access(
self.pnp_path, os.R_OK):
self.pnp_path_readable = True
else:
self.pnp_path_readable = False
# Apply the filters on the broker's host/service/etc elements
result = self.get_live_data(cs)
if self.stats_query:
self.columns = range(num_stats_filters)
if self.stats_group_by:
self.columns = tuple(
list(self.stats_group_by) + list(self.columns))
if len(self.aliases) == 0:
# If there were Stats: staments without "as", show no column headers at all
self.response.columnheaders = 'off'
else:
self.response.columnheaders = 'on'
if self.stats_query:
result = self.statsify_result(result)
# statsify_result returns a dict with column numers as keys
elif self.table == 'columns':
# With stats_request set to True, format_output expects result
# to be a list of dicts instead a list of objects
self.stats_query = True
except Exception, e:
import traceback
print "!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!"
print e
traceback.print_exc(32)
print "!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!"
result = []