def classtype_from_id(id):
"classtype_from_id(id) -> (class, type) pair from numeric id"
if not _init_maps():
raise KeyError(id)
finfo = pysilk.flowtype_info()[id]
cinfo = pysilk.class_info()['data']
return (cinfo[finfo['class']]['name'], finfo['type'])
def _init_maps():
global _initialized
global _default_class
if _initialized or not (have_site_config() or init_site()):
return _initialized
si = pysilk.sensor_info()
ci = pysilk.class_info()
fi = pysilk.flowtype_info()
default_classid = ci['default']
ci = ci['data']
for item in itervalues(si):
newitem = copy.deepcopy(item)
newitem['classes'] = tuple(ci[x]['name'] for x in item['classes'])
_sensor_map[item['name']] = newitem
if default_classid is not None:
_default_class = ci[default_classid]['name']
for item in itervalues(ci):
newitem = copy.deepcopy(item)
newitem['sensors'] = tuple(si[x]['name'] for x in item['sensors'])
newitem['flowtypes'] = tuple(fi[x]['name'] for x in item['flowtypes'])
newitem['default_flowtypes'] = tuple(fi[x]['name'] for x in
item['default_flowtypes'])
_class_map[item['name']] = newitem
for item in itervalues(fi):
newitem = copy.deepcopy(item)
newitem['class'] = ci[item['class']]['name']
_flowtype_map[item['name']] = newitem
cdict = _classtype_map.setdefault(ci[item['class']]['name'], {})
cdict[item['type']] = newitem
_initialized = True
return True
def classtypes():
"classtypes() -> tuple of (class, type) pairs"
_init_maps()
clinfo = pysilk.class_info()['data']
return tuple((clinfo[x['class']]['name'], x['type'])
for x in itervalues(pysilk.flowtype_info()))
