def __init__(self):
self.pf = ParticleFilterPredictor()
pass
def __init__(self):
self.pf = ParticleFilterPredictor()
pass
class RepPf(object):
__filter_bank = {}
namespace = "pf"
def __init__(self):
self.pf = ParticleFilterPredictor()
pass
@ServiceManager.service_function(namespace, PfRepRequestCreate,
PfReqResponseCreate)
def create(self, **kwargs):
"""
TODO: Create description
"""
if kwargs["uuid"] == None:
kwargs["uuid"] = uuid.uuid1().hex
self.__filter_bank[kwargs["uuid"]] = self.pf.create(**kwargs)
if kwargs["debug"]:
p = self.__filter_bank[kwargs["uuid"]]["filter"].emp.particles
print "[RepPf] INIT MODEL SIZES:", np.bincount(map(
int, p[:, 1].flatten()),
minlength=2)
print "[RepPf] INIT STATES:", np.bincount(
map(int, p[:, 0].flatten())), len(
np.bincount(map(int, p[:, 0].flatten())))
for i in range(int(np.max(p[:, 1])) + 1):
print "[RepPf] INIT STATES model %i:" % i, np.bincount(
map(int,
p[np.where(p[:, 1] == float(i)), 0].flatten())), len(
np.bincount(
map(
int, p[np.where(p[:, 1] == float(i)),
0].flatten())))
return PfReqResponseCreate(data=kwargs["uuid"])
@ServiceManager.service_function(namespace, PfRepRequestUpdate,
PfReqResponseUpdate)
def update(self, **kwargs):
"""
TODO: Create description
"""
z = kwargs.copy()
z.update(self.__filter_bank[kwargs["uuid"]])
res = self.pf.update(**z)
datum = json.dumps(res)
return PfReqResponseUpdate(data=datum)
@ServiceManager.service_function(namespace, PfRepRequestPredict,
PfReqResponsePredict)
def predict(self, **kwargs):
"""
TODO: Create description
"""
z = kwargs.copy()
z.update(self.__filter_bank[kwargs["uuid"]])
res = self.pf.predict(**z)
return PfReqResponsePredict(data=json.dumps(res))
@ServiceManager.service_function(namespace, PfRepRequestRemove,
PfReqResponseRemove)
def remove(self, **kwargs):
"""
TODO: Create description
"""
res = 0
try:
del self.__filter_bank[kwargs["uuid"]]
except KeyError:
pass
if kwargs["uuid"] not in self.__filter_bank:
res = 1
return PfReqResponseRemove(data=json.dumps(res))
@ServiceManager.service_function(namespace, PfRepRequestList,
PfReqResponseList)
def list_filters(self, **kwargs):
res = []
for k, v in self.__filter_bank.items():
res.append((k, v["models"]))
return PfReqResponseList(data=json.dumps(res))
class RepPf(object):
__filter_bank = {}
namespace = "pf"
def __init__(self):
self.pf = ParticleFilterPredictor()
pass
@ServiceManager.service_function(namespace, PfRepRequestCreate, PfReqResponseCreate)
def create(self, **kwargs):
"""
TODO: Create description
"""
if kwargs["uuid"] == None:
kwargs["uuid"] = uuid.uuid1().hex
self.__filter_bank[kwargs["uuid"]] = self.pf.create(**kwargs)
if kwargs["debug"]:
p = self.__filter_bank[kwargs["uuid"]]["filter"].emp.particles
print "INIT MODEL SIZES:", np.bincount(map(int,p[:,1].flatten()), minlength=2)
print "INIT STATES:", np.bincount(map(int,p[:,0].flatten())), len(np.bincount(map(int,p[:,0].flatten())))
for i in range(int(np.max(p[:,1]))+1):
print "INIT STATES model %i:"%i, np.bincount(map(int,p[np.where(p[:,1] == float(i)),0].flatten())), len(np.bincount(map(int,p[np.where(p[:,1] == float(i)),0].flatten())))
return PfReqResponseCreate(data=kwargs["uuid"])
@ServiceManager.service_function(namespace, PfRepRequestUpdate, PfReqResponseUpdate)
def update(self, **kwargs):
"""
TODO: Create description
"""
z = kwargs.copy()
z.update(self.__filter_bank[kwargs["uuid"]])
res = self.pf.update(**z)
return PfReqResponseUpdate(data=json.dumps(res))
@ServiceManager.service_function(namespace, PfRepRequestPredict, PfReqResponsePredict)
def predict(self, **kwargs):
"""
TODO: Create description
"""
z = kwargs.copy()
z.update(self.__filter_bank[kwargs["uuid"]])
res = self.pf.predict(**z)
return PfReqResponsePredict(data=json.dumps(res))
@ServiceManager.service_function(namespace, PfRepRequestRemove, PfReqResponseRemove)
def remove(self, **kwargs):
"""
TODO: Create description
"""
res = 0
try:
del self.__filter_bank[kwargs["uuid"]]
except KeyError:
pass
if kwargs["uuid"] not in self.__filter_bank:
res = 1
return PfReqResponseRemove(data=json.dumps(res))
@ServiceManager.service_function(namespace, PfRepRequestList, PfReqResponseList)
def list_filters(self, **kwargs):
res = []
for k, v in self.__filter_bank.items():
res.append((k,v["models"]))
return PfReqResponseList(data=json.dumps(res))
