def replay(self, fig=[], ax=[], **kwargs):
""" replay a trajectory
Parameters
----------
fig
ax
speed : float
speed ratio
"""
# plt.ion()
if fig == []:
fig = plt.gcf()
if ax == []:
ax = plt.gca()
limkwargs = copy.copy(kwargs)
if "c" in kwargs:
limkwargs.pop("c")
if "color" in kwargs:
limkwargs.pop("c")
limkwargs["marker"] = "*"
limkwargs["s"] = 20
if ("m" or "marker") not in kwargs:
kwargs["marker"] = "o"
if ("c" or "color") not in kwargs:
kwargs["color"] = "b"
L = Layout(self.Lfilename)
fig, ax = L.showG("s", fig=fig, ax=ax, **kwargs)
time = self[0].time()
line, = ax.plot([], [], "ob", lw=2)
time_template = "time = %.1fs"
time_text = ax.text(0.05, 0.9, "", transform=ax.transAxes)
def init():
line.set_data([], [])
time_text.set_text("")
return line, time_text
def animate(it):
X = []
Y = []
for t in self:
if t.typ == "ag":
X.append(t["x"].values[it])
Y.append(t["y"].values[it])
line.set_data(X, Y)
time_text.set_text(time_template % (time[it]))
return line, time_text
ani = animation.FuncAnimation(fig, animate, np.arange(1, len(time)), interval=25, blit=True, init_func=init)
plt.show()
def create_layout(self):
"""
Create Layout in Simpy the_world thanks to Tk backend
"""
self.the_world = world(width = float(self.lay_opt['the_world_width']),
height = float(self.lay_opt['the_world_height']),
scale=float(self.lay_opt['the_world_scale']))
# tk = self.the_world.tk
# canvas, x_, y_ = tk.canvas, tk.x_, tk.y_
# canvas.create_rectangle(x_(-1), y_(-1), x_(100), y_(100), fill='white')
_filename = self.lay_opt['filename']
#sl=Slab.SlabDB(self.lay_opt['slab'],self.lay_opt['slabmat'])
#G1 = Graph.Graph(sl=sl,filename=_filename)
self.L = Layout(_filename)
#if _filename.split('.')[1] == 'str':
# self.L.loadstr(_filename)
#elif _filename.split('.')[1] == 'str2':
# self.L.loadstr2(_filename)
#elif _filename.split('.')[1] == 'ini':
# self.L.loadini(_filename)
try:
self.L.dumpr()
print 'Layout graphs are loaded from ',basename,'/struc/ini'
except:
#self.L.sl = sl
#self.L.loadGr(G1)
print 'This is the first time the layout file is used\
Layout graphs are curently being built, it may take few minutes.'
self.L.build()
self.L.dumpw()
x_offset = 0 # float(self.lay_opt['x_offset'])
y_offset = 0 # float(self.lay_opt['y_offset'])
for ks in self.L.Gs.pos.keys():
self.L.Gs.pos[ks] = (self.L.Gs.pos[ks][0] +
x_offset, self.L.Gs.pos[ks][1] + y_offset)
for ks in self.L.Gr.pos.keys():
self.L.Gr.pos[ks] = (self.L.Gr.pos[ks][0] +
x_offset, self.L.Gr.pos[ks][1] + y_offset)
for ks in self.L.Gw.pos.keys():
self.L.Gw.pos[ks] = (self.L.Gw.pos[ks][0] +
x_offset, self.L.Gw.pos[ks][1] + y_offset)
#
# Create Layout
#
walls = self.L.thwall(0, 0)
for wall in walls:
points = []
# for point in wall:
# points.append(x_(point[0]))
# points.append(y_(point[1]))
# canvas.create_polygon(points, fill='maroon', outline='black')
for ii in range(0, len(wall) - 1):
self.the_world.add_wall(wall[ii], wall[ii + 1])
def create_layout(self):
""" create Layout in Simpy the_world thanks to Tk backend
"""
_filename = self.lay_opt['filename']
self.L = Layout(_filename)
self.the_world = world()
try:
self.L.dumpr()
print 'Layout graphs are loaded from ',basename,'/struc/ini'
except:
#self.L.sl = sl
#self.L.loadGr(G1)
print 'This is the first time the layout file is used\
Layout graphs are curently being built, it may take few minutes.'
self.L.build()
self.L.dumpw()
#
# Create Layout
#
walls = self.L.thwall(0, 0)
for wall in walls:
for ii in range(0, len(wall) - 1):
self.the_world.add_wall(wall[ii], wall[ii + 1])
def __init__(self,_fileini='coverage.ini'):
self.config = ConfigParser.ConfigParser()
self.config.read(pyu.getlong(_fileini,pstruc['DIRSIMUL']))
self.plm = dict(self.config.items('pl_model'))
self.layoutopt = dict(self.config.items('layout'))
self.gridopt = dict(self.config.items('grid'))
self.txopt = dict(self.config.items('tx'))
self.rxopt = dict(self.config.items('rx'))
self.showopt = dict(self.config.items('show'))
self.L = Layout(self.layoutopt['filename'])
self.model = PLSmodel(f=eval(self.plm['fghz']),
rssnp=eval(self.plm['rssnp']),
d0=eval(self.plm['d0']),
sigrss=eval(self.plm['sigrss']))
self.nx = eval(self.gridopt['nx'])
self.ny = eval(self.gridopt['ny'])
self.mode = eval(self.gridopt['full'])
self.boundary = eval(self.gridopt['boundary'])
# transitter section
self.fGHz = eval(self.txopt['fghz'])
self.tx = np.array((eval(self.txopt['x']),eval(self.txopt['y'])))
self.ptdbm = eval(self.txopt['ptdbm'])
self.framelengthbytes = eval(self.txopt['framelengthbytes'])
# receiver section
self.rxsens = eval(self.rxopt['sensitivity'])
kBoltzmann = 1.3806503e-23
self.bandwidthmhz = eval(self.rxopt['bandwidthmhz'])
self.temperaturek = eval(self.rxopt['temperaturek'])
self.noisefactordb = eval(self.rxopt['noisefactordb'])
Pn = (10**(self.noisefactordb/10.)+1)*kBoltzmann*self.temperaturek*self.bandwidthmhz*1e3
self.pndbm = 10*np.log10(Pn)+60
self.show = str2bool(self.showopt['show'])
try:
self.L.Gt.nodes()
except:
pass
try:
self.L.dumpr('t')
except:
self.L.buildGt()
self.L.dumpw('t')
self.creategrid(full=self.mode,boundary=self.boundary)
def load_simul(self, source):
""" load a simultraj configuration file
Parameters
----------
source : string
name of simulation file to be loaded
"""
self.filetraj = source
if not os.path.isfile(source):
raise AttributeError('Trajectory file'+source+'has not been found.\
Please make sure you have run a simulnet simulation before runining simultraj.')
# get the trajectory
traj = tr.Trajectories()
traj.loadh5(self.filetraj)
# get the layout
self.L = Layout(traj.Lfilename)
# resample trajectory
for ut, t in enumerate(traj):
if t.typ == 'ag':
person = Body(t.name + '.ini')
tt = t.time()
self.dpersons.update({t.name: person})
self._tmin = tt[0]
self._tmax = tt[-1]
self.time = tt
else:
pos = np.array([t.x[0], t.y[0], t.z[0]])
self.dap.update({t.ID: {'pos': pos,
'ant': antenna.Antenna(),
'name': t.name
}
})
self.ctime = np.nan
self.Nag = len(self.dpersons.keys())
self.Nap = len(self.dap.keys())
self.traj = traj
def load_simul(self, source):
""" load a simultraj configuration file
Parameters
----------
source : string
name of simulation file to be loaded
"""
self.filetraj = source
# get the trajectory
traj = tr.Trajectories()
traj.loadh5(self.filetraj)
# get the layout
self.L = Layout(traj.Lfilename)
# resample trajectory
for ut, t in enumerate(traj):
if t.typ == 'ag':
person = Body(t.name + '.ini')
tt = t.time()
self.dpersons.update({t.name: person})
self._tmin = tt[0]
self._tmax = tt[-1]
self.time = tt
else:
pos = np.array([t.x[0], t.y[0], t.z[0]])
self.dap.update({t.ID: {'pos': pos,
'ant': antenna.Antenna(),
'name': t.name
}
})
self.ctime = np.nan
self.Nag = len(self.dpersons.keys())
self.Nap = len(self.dap.keys())
self.traj = traj
def layout(self, _filestruc):
""" load a layout in the simulation oject
Parameters
----------
_filestruc : string
short file name of the Layout object
Examples
--------
>>> from pylayers.simul.simulem import *
>>> S = Simul()
>>> S.layout('defstr.ini')
"""
self.filestr = _filestruc
self.L = Layout(_filestruc)
# update config
self.config.set("files", "struc", self.filestr)
self.save()
from pylayers.gis.layout import Layout
import networkx as nx
import matplotlib.pyplot as plt
import doctest
plt.ion()
#doctest.testmod(layout)
#L = Layout('TA-Office.ini')
L = Layout('WHERE1.ini')
#L= Layout('11Dbibli.ini')
#L.show()
#L = Layout('PTIN.ini')
#L = Layout('DLR.ini')
#L.build()
L.dumpr()
L.showG('i', en=11)
#Ga = L.buildGr()
#L.showGs()
#nx.draw(Ga,Ga.pos)
def __init__(self, **args):
""" Mobile Agent Init
Parameters
----------
'ID': string
agent ID
'name': string
Agent name
'typ': string
agent typ . 'ag' for moving agent, 'ap' for static acces point
'pos' : np.array([])
numpy array containing the initial position of the agent
'roomId': int
Room number where the agent is initialized (Layout.Gr)
'meca_updt': float
update time interval for the mechanical process
'loc': bool
enable/disable localization process of the agent
'loc_updt': float
update time interval for localization process
'L': pylayers.gis.Layout()
'net':pylayers.network.Network(),
'wstd': list of string
list of used radio access techology of the agent
'world': transit.world()
Soon deprecated
'save': list of string
list of save method ( soon deprecated)
'sim':Simpy.SimulationRT.Simulation(),
'epwr': dictionnary
dictionnary of emmited power of transsmitter{'wstd#':epwr value}
'sens': dictionnary
dictionnary of sensitivity of reveicer {'wstd#':sens value}
'dcond': dictionnary
Not used yet
'gcom':pylayers.communication.Gcom()
Communication graph
'comm_mod': string
Communication between nodes mode:
'autonomous': all TOAs are refreshed regulary
'synchro' : only visilbe TOAs are refreshed
"""
defaults = {'ID': '0',
'name': 'johndoe',
'typ': 'ag',
'color': 'k',
'pdshow': False,
'pos': np.array([]),
'roomId': -1,
'froom': [],
'wait': [],
'seed': 0,
'cdest': 'random',
'meca_updt': 0.1,
'loc': False,
'loc_updt': 0.5,
'loc_method': ['geo'],
'L': Layout(),
'network': True,
'net': Network(),
'wstd': ['rat1'],
'world': world(),
'save': [],
'sim': Simulation(),
'epwr': {},
'sens': {},
'dcond': {},
'gcom': Gcom(),
'comm_mode': 'autonomous'}
for key, value in defaults.items():
if key not in args:
args[key] = value
self.args = args
self.ID = args['ID']
self.name = args['name']
self.typ = args['typ']
# Create Network
self.net = args['net']
self.epwr = args['epwr']
self.gcom = args['gcom']
self.sim = args['sim']
self.wstd = args['wstd']
if args['epwr'] == {}:
self.epwr = {x: 0 for x in self.wstd}
else:
self.epwr = args['epwr']
if args['sens'] == {}:
self.sens = {x: -180 for x in self.wstd}
else:
self.sens = args['sens']
try:
self.dcond = args['dcond']
except:
pass
# check if node id already given
if self.ID in self.net.nodes():
raise NameError(
'another agent has the ID: ' + self.ID + ' .Please use an other ID')
if self.typ == 'ag':
# mechanical init
self.meca = Person(ID=self.ID,
color=args['color'],
pdshow=args['pdshow'],
roomId=args['roomId'],
L=args['L'],
net=self.net,
interval=args['meca_updt'],
wld=args['world'],
sim=args['sim'],
seed=args['seed'],
moving=True,
froom=args['froom'],
wait=args['wait'],
cdest=args['cdest'],
save=args['save']
)
self.meca.behaviors = [Seek(), Containment(),
Separation(), InterpenetrationConstraint()]
self.meca.steering_mind = queue_steering_mind
# Network init
self.node = Node(ID=self.ID,name=self.name, p=conv_vecarr(self.meca.position),
t=self.sim.now(), wstd=args['wstd'],
epwr=self.epwr, sens=self.sens, typ=self.typ)
self.net.add_nodes_from(self.node.nodes(data=True))
self.sim.activate(self.meca, self.meca.move(), 0.0)
self.PN = self.net.node[self.ID]['PN']
# Communication init
if args['comm_mode'] == 'synchro' and args['network']:
# The TOA requests are made every refreshTOA time ( can be modified in agent.ini)
# This Mode will be deprecated in future version
self.rxr = RX(net=self.net,
ID=self.ID,
dcond=self.dcond,
gcom=self.gcom,
sim=self.sim)
self.rxt = RX(net=self.net,
ID=self.ID,
dcond=self.dcond,
gcom=self.gcom,
sim=self.sim)
self.sim.activate(self.rxr, self.rxr.refresh_RSS(), 0.0)
self.sim.activate(self.rxt, self.rxt.refresh_TOA(), 0.0)
elif args['comm_mode'] == 'autonomous' and args['network']:
# The requests are made by node only when they are in
# visibility of pairs.
# self.rxr only manage a refresh RSS process
self.rxr = RX(net=self.net, ID=self.ID,
gcom=self.gcom, sim=self.sim)
# self.tx manage all requests to other nodes
self.tx = TX(net=self.net, ID=self.ID,
gcom=self.gcom, sim=self.sim)
# self.tx replies to requests from self.tx
self.rx = RX(net=self.net, ID=self.ID,
gcom=self.gcom, sim=self.sim)
self.sim.activate(self.rxr, self.rxr.refresh_RSS(), 0.0)
self.sim.activate(self.tx, self.tx.request(), 0.0)
self.sim.activate(self.rx, self.rx.wait_request(), 0.0)
elif self.typ == 'ap':
if args['roomId'] == -1:
self.node = Node(ID=self.ID, p=self.args['pos'],
t=self.sim.now(), wstd=args['wstd'],
epwr=self.epwr, sens=self.sens, typ=self.typ)
else:
pp = np.array(args['L'].Gr.pos[self.args['roomId']])
self.node = Node(
ID=self.ID, p=pp, t=self.sim.now(), wstd=args['wstd'],
epwr=self.epwr, sens=self.sens, typ=self.typ)
self.net.add_nodes_from(self.node.nodes(data=True))
self.sim = args['sim']
self.PN = self.net.node[self.ID]['PN']
self.PN.node[self.ID]['pe'] = self.net.node[self.ID]['p']
if args['comm_mode'] == 'autonomous' and args['network']:
self.rx = RX(net=self.net, ID=self.ID,
gcom=self.gcom, sim=self.sim)
self.sim.activate(self.rx, self.rx.wait_request(), 0.0)
p = self.args['pos']
self.posdf = pd.DataFrame(
{'t': pd.Timestamp(0), 'x': p[0], 'y': p[1], 'z': p[2],
'vx': np.array([0.0]), 'vy': np.array([0.0]),
'ax': np.array([0.0]), 'ay': np.array([0.0]),
}, columns=['t', 'x', 'y', 'z', 'vx', 'vy', 'ax', 'ay'], index=np.array([0]))
else:
raise NameError(
'wrong agent typ, it must be either agent (ag) or acces point (ap) ')
if self.typ == 'ap':
self.MoA = 1
else:
self.MoA = 0
if 'mysql' in args['save']:
config = ConfigParser.ConfigParser()
config.read(pyu.getlong('simulnet.ini', 'ini'))
sql_opt = dict(config.items('Mysql'))
db = Database(sql_opt['host'], sql_opt['user'],
sql_opt['passwd'], sql_opt['dbname'])
db.writenode(self.ID, self.name, self.MoA)
if 'txt' in args['save']:
pyu.writenode(self)
if self.typ != 'ap' and args['loc']:
self.loc = Localization(net=self.net, ID=self.ID,
method=args['loc_method'])
self.Ploc = PLocalization(loc=self.loc,
loc_updt_time=args['loc_updt'],
tx=self.tx,
sim=args['sim'])
self.sim.activate(self.Ploc, self.Ploc.run(), 1.5)
def replay(self, fig=[], ax=[], **kwargs):
""" replay a trajectory
Parameters
----------
fig
ax
speed : float
speed ratio
"""
# plt.ion()
if fig==[]:
fig = plt.gcf()
if ax == []:
ax = plt.gca()
limkwargs = copy.copy(kwargs)
if 'c' in kwargs:
limkwargs.pop('c')
if 'color'in kwargs:
limkwargs.pop('c')
limkwargs['marker'] = '*'
limkwargs['s'] = 20
if ('m' or 'marker') not in kwargs:
kwargs['marker'] = 'o'
if ('c' or 'color') not in kwargs:
kwargs['color'] = 'b'
L=Layout(self.Lfilename)
fig, ax = L.showG('s',fig=fig, ax=ax, **kwargs)
time=self[0].time()
line, = ax.plot([], [], 'ob', lw=2)
time_template = 'time = %.1fs'
time_text = ax.text(0.05, 0.9, '', transform=ax.transAxes)
def init():
line.set_data([],[])
time_text.set_text('')
return line, time_text
def animate(it):
X=[]
Y=[]
for t in self:
if t.typ == 'ag':
X.append(t['x'].values[it])
Y.append(t['y'].values[it])
line.set_data(X,Y)
time_text.set_text(time_template%(time[it]))
return line, time_text
ani = animation.FuncAnimation(fig, animate, np.arange(1, len(time)),
interval=25, blit=True, init_func=init)
plt.show()
def replay(self, fig=[], ax=[], **kwargs):
""" replay a trajectory
Parameters
----------
fig
ax
speed : float
speed ratio
"""
# plt.ion()
if fig == []:
fig = plt.gcf()
if ax == []:
ax = plt.gca()
limkwargs = copy.copy(kwargs)
if 'c' in kwargs:
limkwargs.pop('c')
if 'color' in kwargs:
limkwargs.pop('c')
limkwargs['marker'] = '*'
limkwargs['s'] = 20
if ('m' or 'marker') not in kwargs:
kwargs['marker'] = 'o'
if ('c' or 'color') not in kwargs:
kwargs['color'] = 'b'
L = Layout(self.Lfilename)
fig, ax = L.showG('s', fig=fig, ax=ax, **kwargs)
time = self[0].time()
line, = ax.plot([], [], 'ob', lw=2)
time_template = 'time = %.1fs'
time_text = ax.text(0.05, 0.9, '', transform=ax.transAxes)
def init():
line.set_data([], [])
time_text.set_text('')
return line, time_text
def animate(it):
X = []
Y = []
for t in self:
if t.typ == 'ag':
X.append(t['x'].values[it])
Y.append(t['y'].values[it])
line.set_data(X, Y)
time_text.set_text(time_template % (time[it]))
return line, time_text
ani = animation.FuncAnimation(fig,
animate,
np.arange(1, len(time)),
interval=25,
blit=True,
init_func=init)
plt.show()
from pylayers.gis.layout import Layout
import matplotlib.pyplot as plt
import doctest
#doctest.testmod(layout)
#L = Layout('TA-Office.ini')
L = Layout('DLR.ini')
try:
L.dumpr()
except:
L.build()
L.dumpw()
#L.editor()
fig = plt.gcf()
#ax1 = fig.add_subplot(221)
ax1 = fig.add_subplot(321)
L.display['thin'] = True
fig, ax1 = L.showGs(fig=fig, ax=ax1)
#L.display['edlabel']=True
#L.display['edlblsize']=50
# display selected segments
L.display['thin'] = True
L.showG(fig=fig, ax=ax1, graph='t')
fig = plt.gcf()
ax1 = plt.gca()
fig, ax1 = L.showGs(fig=fig, ax=ax1, edlist=[125], width=4)
ax11 = fig.add_subplot(322)
L.showG(fig=fig, ax=ax11, graph='')
#plt.savefig('graphGs.png')
#build topological graph
from pylayers.gis.layout import Layout
import networkx as nx
import matplotlib.pyplot as plt
import doctest
plt.ion()
#doctest.testmod(layout)
#L = Layout('TA-Office.ini')
L = Layout('WHERE1.ini')
#L= Layout('11Dbibli.ini')
#L.show()
#L = Layout('PTIN.ini')
#L = Layout('DLR.ini')
#L.build()
L.dumpr()
L.showG('i',en=11)
#Ga = L.buildGr()
#L.showGs()
#nx.draw(Ga,Ga.pos)
def __init__(self, _fileini='coverage.ini'):
""" object constructor
Parameters
----------
_fileini : string
name of the configuration file
Notes
-----
Coverage is described in an ini file.
Default file is coverage.ini and is placed in the ini directory of the current project.
"""
self.config = ConfigParser.ConfigParser()
self.config.read(pyu.getlong(_fileini, pstruc['DIRSIMUL']))
self.layoutopt = dict(self.config.items('layout'))
self.gridopt = dict(self.config.items('grid'))
self.apopt = dict(self.config.items('ap'))
self.rxopt = dict(self.config.items('rx'))
self.showopt = dict(self.config.items('show'))
# get the Layout
filename = self.layoutopt['filename']
if filename.endswith('lay'):
self.typ = 'indoor'
self.L = Layout(filename)
# get the receiving grid
self.nx = eval(self.gridopt['nx'])
self.ny = eval(self.gridopt['ny'])
self.mode = self.gridopt['mode']
assert self.mode in ['file', 'full',
'zone'], "Error reading grid mode "
self.boundary = eval(self.gridopt['boundary'])
self.filespa = self.gridopt['file']
#
# create grid
#
self.creategrid(mode=self.mode,
boundary=self.boundary,
_fileini=self.filespa)
self.dap = {}
for k in self.apopt:
kwargs = eval(self.apopt[k])
ap = std.AP(**kwargs)
self.dap[eval(k)] = ap
try:
self.L.Gt.nodes()
except:
pass
try:
self.L.dumpr()
except:
self.L.build()
self.L.dumpw()
else:
self.typ = 'outdoor'
self.E = ez.Ezone(filename)
self.E.loadh5()
self.E.rebase()
# The frequency is fixed from the AP nature
self.fGHz = np.array([])
#self.fGHz = eval(self.txopt['fghz'])
#self.tx = np.array((eval(self.txopt['x']),eval(self.txopt['y'])))
#self.ptdbm = eval(self.txopt['ptdbm'])
#self.framelengthbytes = eval(self.txopt['framelengthbytes'])
# receiver section
#self.rxsens = eval(self.rxopt['sensitivity'])
self.temperaturek = eval(self.rxopt['temperaturek'])
self.noisefactordb = eval(self.rxopt['noisefactordb'])
# show section
self.bshow = str2bool(self.showopt['show'])
from pylayers.gis.layout import Layout
from pylayers.util.project import *
import pylayers.util.pyutil as pyu
import networkx as nx
import matplotlib.pyplot as plt
import warnings
import shutil
warnings.filterwarnings("error")
#doctest.testmod(layout)
#L = Layout('TA-Office.ini')
L = Layout()
lL = L.ls()
for tL in lL:
print 'Layout : ', tL
print '--------------------------'
L = Layout(tL, bbuild=0, bgraphs=0)
if L.check():
L.save()
filein = pyu.getlong(L._filename, pstruc['DIRLAY'])
fileout = '/home/uguen/Documents/rch/devel/pylayers/data/struc/lay/' + L._filename
print fileout
shutil.copy2(filein, fileout)
#figure(figsize=(20,10))
#plt.axis('off')
#f,a = L.showG('s',nodes=False,fig=f)
#plt.show()
#f,a = L.showG('r',edge_color='b',linewidth=4,fig=f)
#L= Layout('11Dbibli.ini')
#L.show()
def Lname(self,Lname):
# change layout and build/load
self._L = Layout(Lname)
self._Lname = Lname
self.reset_config()
from pylayers.gis.layout import Layout
import matplotlib.pyplot as plt
import doctest
#doctest.testmod(layout)
L = Layout()
L.load('TA-Office.str')
#L.editor()
fig = plt.gcf()
#ax1 = fig.add_subplot(221)
ax1 = fig.add_subplot(111)
L.display['thin']=True
fig,ax1 = L.showGs(fig=fig,ax=ax1)
L.display['thin']=False
L.display['edlabel']=True
L.display['edlblsize']=50
fig,ax1 = L.showGs(fig=fig,ax=ax1,edlist=[10,7,54],width=4)
plt.show()
#plt.savefig('graphGs.png')
# build topological graph
#L.buildGt()
#ax2 = fig.add_subplot(222)
#L.showG(fig=fig,ax=ax2,graph='t')
#plt.title('Topological graph')
#plt.savefig('graphGt.png')
# build graph of rooms
#L.buildGr()
#ax3 = fig.add_subplot(223)
#L.showG(fig=fig,ax=ax3,graph='r')
def __init__(self, **kwargs):
""" deterministic link evaluation
Parameters
----------
L : Layout
Layout to be used
a : np.ndarray (3,)
position of a device dev_a
b : np.ndarray (3,)
position of a device dev_b
Aa : Antenna
Antenna of device dev_a
Ab : Antenna
Antenna of device dev_b
Ta : np.ndarray (3,3)
Rotation matrice of Antenna of device dev_a relative to global Layout scene
Tb : np.ndarray (3,3)
Rotation matrice of Antenna of device dev_b relative to global Layout scene
fGHz : np.ndarray (Nf,)
frequency range of Nf points used for evaluation of channel
wav : Waveform
Waveform to be applied on the channel
save_idx : int
number to identify the h5 file generated
Advanced (change only if you really know what you do !)
save_opt : list (['sig','ray','Ct','H'])
information to be saved in the Links h5 file. Should never be Modified !
force_create : Boolean (False)
forcecreating the h5py file (if already exist, will be erased)
Notes
-----
All simulations are stored into a unique file in your <PyProject>/output directory
using the following convention:
Links_<save_idx>_<LayoutFilename>.h5
where
<save_idx> is an integer number to distinguish different links simulations
and <LayoutFilename> is the Layout used for the link simulation.
Dataset organisation:
Links_<idx>_<Layout_name>.h5
|
|/sig/si_ID#0/
| /si_ID#1/
| ...
|
|/ray/ray_ID#0/
| /ray_ID#1/
| ...
|
|/Ct/Ct_ID#0/
| /Ct_ID#1/
| ...
|
|/H/H_ID#0/
| /H_ID#1/
| ...
|
|
|p_map
|c_map
|f_map
|A_map
|T_map
Roots Dataset :
c_map : Cycles (Nc x 3)
p_map : Positions (Np x 3)
f_map : Frequency (Nf x 3)
T_map : Rotation matrices (Nt x 3)
A_map : Antenna name (Na x 3)
Groups and subgroups:
Signature identifier (si_ID#N):
ca_cb_cutoff
Ray identifier (ray_ID#N):
cutoff_ua_ub
Ctilde identifier (Ct_ID#N):
ua_ub_uf
H identifier (H_ID#N):
ua_ub_uf_uTa_uTb_uAa_uAb
with
ca : cycle number of a
cb : cycle number of b
cutoff : signature.run cutoff
ua : indice of a position in 'p_map' position dataset
ub : indice of a position in 'p_map' position dataset
uf : indice of freq position in 'f_map' frequency dataset
uTa : indice of a position in 'T_map' Rotation dataset
uTb : indice of a position in 'T_map' Rotation dataset
uAa : indice of a position in 'A_map' Antenna name dataset
uAb : indice of b position in 'A_map' Antenna name dataset
Examples
--------
>>> from pylayers.simul.link import *
>>> L = DLink(verbose=False)
>>> aktk = L.eval()
"""
Link.__init__(self)
defaults={ 'L':Layout(),
'a':np.array(()),
'b':np.array(()),
'Aa':Antenna(typ='Omni'),
'Ab':Antenna(typ='Omni'),
'Ta':np.eye(3),
'Tb':np.eye(3),
'fGHz':[],
'wav':wvf.Waveform(),
'cutoff':3,
'save_opt':['sig','ray','Ct','H'],
'save_idx':0,
'force_create':False,
'verbose':True,
'graph':'tcvirw'
}
self._ca=-1
self._cb=-1
specset = ['a','b','Aa','Ab','Ta','Tb','L','fGHz','wav']
# set default attribute
for key, value in defaults.items():
if key not in kwargs:
if key in specset :
setattr(self,'_'+key,value)
else :
setattr(self,key,value)
else :
if key in specset :
setattr(self,'_'+key,kwargs[key])
else :
setattr(self,key,kwargs[key])
force=self.force_create
delattr(self,'force_create')
if self.fGHz == []:
self.initfreq()
else :
pass
try:
self._Lname = self._L.filename
except:
self._L=Layout(self._L)
self._Lname = self._L.filename
###########
# Transmitter and Receiver positions
###########
self.tx = RadioNode(name = '',
typ = 'tx',
_fileini = 'radiotx.ini',
)
self.rx = RadioNode(name = '',
typ = 'rx',
_fileini = 'radiorx.ini',
)
self.filename = 'Links_' + str(self.save_idx) + '_' + self._Lname + '.h5'
filenameh5 = pyu.getlong(self.filename,pstruc['DIRLNK'])
# check if save file alreasdy exists
if not os.path.exists(filenameh5) or force:
print 'Links save file for ' + self.L.filename + ' does not exist.'
print 'Creating file. You\'ll see this message only once per Layout'
self.save_init(filenameh5)
# dictionnary data exists
self.dexist={'sig':{'exist':False,'grpname':''},
'ray':{'exist':False,'grpname':''},
'Ct':{'exist':False,'grpname':''},
'H':{'exist':False,'grpname':''}
}
try:
self.L.dumpr()
except:
print('This is the first time the Layout is used. Graphs have to be built. Please Wait')
self.L.build(graph=self.graph)
self.L.dumpw()
#self.L.build()
###########
# init pos & cycles
#
# If a and b are not specified
# they are chosen as center of gravity of cycle 0
#
###########
if len(self.a)==0:
self.ca = 1
# self.a = self.L.cy2pt(self.ca)
else:
if len(kwargs['a']) ==2:
a=np.r_[kwargs['a'],1.0]
else:
a=kwargs['a']
self.a = a
# self.ca = self.L.pt2cy(self.a)
if len(self.b)==0:
if len(self.L.Gt.node)>2:
self.cb = 2
else:
self.cb = 1
# self.b = self.L.cy2pt(self.cb)
else:
if len(kwargs['b']) ==2:
b=np.r_[kwargs['b'],1.0]
else:
b=kwargs['b']
self.b = b
# self.cb = self.L.pt2cy(self.b)
###########
# init freq
# TODO Check where it is used redundant with fGHz
###########
#self.fmin = self.fGHz[0]
#self.fmax = self.fGHz[-1]
#self.fstep = self.fGHz[1]-self.fGHz[0]
self.Si = Signatures(self.L,self.ca,self.cb,cutoff=self.cutoff)
self.R = Rays(self.a,self.b)
self.C = Ctilde()
self.H = Tchannel()
from pylayers.gis.layout import Layout
import networkx as nx
import matplotlib.pyplot as plt
#doctest.testmod(layout)
#L = Layout('TA-Office.ini')
L = Layout()
lL = L.ls()
for tL in lL:
print 'Layout :', tL
try:
L = Layout(tL)
L.save()
except:
print 'Layout :', tL, ' problem'
#f = plt.figure(figsize=(20,10))
#plt.axis('off')
#f,a = L.showG('s',nodes=False,fig=f)
#plt.show()
#f,a = L.showG('r',edge_color='b',linewidth=4,fig=f)
#L= Layout('11Dbibli.ini')
#L.show()
#L = Layout('PTIN.ini')
#L = Layout('DLR.ini')
#L.buildGt()
#Ga = L.buildGr()
#L.showGs()
#nx.draw(Ga,Ga.pos)
class Coverage(PyLayers):
""" Handle Layout Coverage
Methods
-------
creategrid()
create a uniform grid for evaluating losses
cover()
run the coverage calculation
showPower()
display the map of received power
showLoss()
display the map of losses
Attributes
----------
All attributes are read from fileini ino the ini directory of the
current project
_fileini
default coverage.ini
L : a Layout
nx : number of point on x
ny : number of point on y
tx : transmitter position
txpe : transmitter power emmission level
show : boolean for automatic display power map
na : number of access point
"""
def __init__(self, _fileini='coverage.ini'):
""" object constructor
Parameters
----------
_fileini : string
name of the configuration file
Notes
-----
Coverage is described in an ini file.
Default file is coverage.ini and is placed in the ini directory of the current project.
"""
self.config = ConfigParser.ConfigParser()
self.config.read(pyu.getlong(_fileini, pstruc['DIRSIMUL']))
self.layoutopt = dict(self.config.items('layout'))
self.gridopt = dict(self.config.items('grid'))
self.apopt = dict(self.config.items('ap'))
self.rxopt = dict(self.config.items('rx'))
self.showopt = dict(self.config.items('show'))
# get the Layout
filename = self.layoutopt['filename']
if filename.endswith('lay'):
self.typ = 'indoor'
self.L = Layout(filename)
# get the receiving grid
self.nx = eval(self.gridopt['nx'])
self.ny = eval(self.gridopt['ny'])
if 'zgrid' in self.gridopt:
self.zgrid = eval(self.gridopt['zgrid'])
else:
self.zgrid = 1.0
self.mode = self.gridopt['mode']
assert self.mode in ['file', 'full',
'zone'], "Error reading grid mode "
self.boundary = eval(self.gridopt['boundary'])
self.filespa = self.gridopt['file']
#
# create grid
#
self.creategrid(mode=self.mode,
boundary=self.boundary,
_fileini=self.filespa)
self.dap = {}
for k in self.apopt:
kwargs = eval(self.apopt[k])
ap = std.AP(**kwargs)
self.dap[eval(k)] = ap
try:
self.L.Gt.nodes()
except:
pass
try:
self.L.dumpr()
except:
self.L.build()
self.L.dumpw()
else:
self.typ = 'outdoor'
self.E = ez.Ezone(filename)
self.E.loadh5()
self.E.rebase()
# The frequency is fixed from the AP nature
self.fGHz = np.array([])
#self.fGHz = eval(self.txopt['fghz'])
#self.tx = np.array((eval(self.txopt['x']),eval(self.txopt['y'])))
#self.ptdbm = eval(self.txopt['ptdbm'])
#self.framelengthbytes = eval(self.txopt['framelengthbytes'])
# receiver section
#self.rxsens = eval(self.rxopt['sensitivity'])
self.temperaturek = eval(self.rxopt['temperaturek'])
self.noisefactordb = eval(self.rxopt['noisefactordb'])
self.PtDB = eval(self.rxopt['ptdb'])
self.Gt = eval(self.rxopt['gt'])
self.Gr = eval(self.rxopt['gr'])
self.do = eval(self.rxopt['do'])
self.Prdo = eval(self.rxopt['prdo'])
self.n = eval(self.rxopt['n'])
self.desviopadrao = eval(self.rxopt['desviopadrao'])
self.x0 = eval(self.rxopt['x0'])
self.y0 = eval(self.rxopt['y0'])
self.xt = eval(self.rxopt['xt'])
self.yt = eval(self.rxopt['yt'])
# show section
self.bshow = str2bool(self.showopt['show'])
def __repr__(self):
st = ''
if self.typ == 'indoor':
st = st + 'Layout file : ' + self.L._filename + '\n\n'
st = st + '-----list of Access Points ------' + '\n'
for k in self.dap:
st = st + self.dap[k].__repr__() + '\n'
st = st + '-----Rx------' + '\n'
st = st + 'temperature (K) : ' + str(self.temperaturek) + '\n'
st = st + 'noisefactor (dB) : ' + str(self.noisefactordb) + '\n\n'
st = st + '--- Grid ----' + '\n'
st = st + 'mode : ' + str(self.mode) + '\n'
if self.mode <> 'file':
st = st + 'nx : ' + str(self.nx) + '\n'
st = st + 'ny : ' + str(self.ny) + '\n'
if self.mode == 'zone':
st = st + 'boundary (xmin,ymin,xmax,ymax) : ' + str(
self.boundary) + '\n\n'
if self.mode == 'file':
st = st + ' filename : ' + self.filespa + '\n'
return (st)
def creategrid(self, mode='full', boundary=[], _fileini=''):
""" create a grid
Parameters
----------
full : boolean
default (True) use all the layout area
boundary : (xmin,ymin,xmax,ymax)
if full is False the boundary argument is used
"""
if mode == "file":
self.RN = RadioNode(name='',
typ='rx',
_fileini=_fileini,
_fileant='def.vsh3')
self.grid = self.RN.position[0:2, :].T
else:
if mode == "full":
mi = np.min(self.L.Gs.pos.values(), axis=0) + 0.01
ma = np.max(self.L.Gs.pos.values(), axis=0) - 0.01
if mode == "zone":
assert boundary <> []
mi = np.array([boundary[0], boundary[1]])
ma = np.array([boundary[2], boundary[3]])
x = np.linspace(mi[0], ma[0], self.nx)
y = np.linspace(mi[1], ma[1], self.ny)
self.grid = np.array((list(np.broadcast(*np.ix_(x, y)))))
self.ng = self.grid.shape[0]
def where1(self):
"""
Unfinished : Not sure this is the right place (too specific)
"""
M1 = UWBMeasure(1)
self.dap = {}
self.dap[1] = {}
self.dap[2] = {}
self.dap[3] = {}
self.dap[4] = {}
self.dap[1]['p'] = M1.rx[1, 0:2]
self.dap[2]['p'] = M1.rx[1, 0:2]
self.dap[3]['p'] = M1.rx[1, 0:2]
self.dap[4]['p'] = M1.rx[1, 0:2]
for k in range(300):
try:
M = UWBMeasure(k)
tx = M.tx
self.grid = np.vstack((self.grid, tx[0:2]))
D = M.rx - tx[np.newaxis, :]
D2 = D * D
dist = np.sqrt(np.sum(D2, axis=1))[1:]
Emax = M.Emax()
Etot = M.Etot()[0]
try:
td1 = np.hstack((td1, dist[0]))
td2 = np.hstack((td2, dist[1]))
td3 = np.hstack((td3, dist[2]))
td4 = np.hstack((td4, dist[3]))
te1 = np.hstack((te1, Emax[0]))
te2 = np.hstack((te2, Emax[1]))
te3 = np.hstack((te3, Emax[2]))
te4 = np.hstack((te4, Emax[3]))
tt1 = np.hstack((tt1, Etot[0]))
tt2 = np.hstack((tt2, Etot[1]))
tt3 = np.hstack((tt3, Etot[2]))
tt4 = np.hstack((tt4, Etot[3]))
#tdist = np.hstack((tdist,dist))
#te = np.hstack((te,Emax))
except:
td1 = np.array(dist[0])
td2 = np.array(dist[1])
td3 = np.array(dist[2])
td4 = np.array(dist[3])
te1 = np.array(Emax[0])
te2 = np.array(Emax[1])
te3 = np.array(Emax[2])
te4 = np.array(Emax[3])
tt1 = np.array(Etot[0])
tt2 = np.array(Etot[1])
tt3 = np.array(Etot[2])
tt4 = np.array(Etot[3])
except:
pass
def cover(self, sinr=True, snr=True, best=True):
""" run the coverage calculation
Parameters
----------
sinr : boolean
snr : boolean
best : boolean
Examples
--------
.. plot::
:include-source:
>>> from pylayers.antprop.coverage import *
>>> C = Coverage()
>>> C.cover()
>>> f,a=C.show(typ='sinr',figsize=(10,8))
>>> plt.show()
Notes
-----
self.fGHz is an array, it means that Coverage is calculated at once
for a whole set of frequencies. In practice, it would be the center
frequency of a given standard channel.
This function is calling `loss.Losst` which calculates Losses along a
straight path.
In a future implementation we will
abstract the EM solver in order to make use of other calculation
approaches as a full or partial Ray Tracing.
The following members variables are evaluated :
+ freespace Loss @ fGHz PL() PathLoss (shoud be rename FS as free space) $
+ prdbmo : Received power in dBm .. math:`P_{rdBm} =P_{tdBm} - L_{odB}`
+ prdbmp : Received power in dBm .. math:`P_{rdBm} =P_{tdBm} - L_{pdB}`
+ snro : SNR polar o (H)
+ snrp : SNR polar p (H)
See Also
--------
pylayers.antprop.loss.Losst
pylayers.antprop.loss.PL
"""
#
# select active AP
#
lactiveAP = []
try:
del self.aap
del self.ptdbm
except:
pass
self.kB = 1.3806503e-23 # Boltzmann constant
#
# Loop opver access points
#
for iap in self.dap:
if self.dap[iap]['on']:
lactiveAP.append(iap)
fGHz = self.dap[iap].s.fcghz
# The frequency band is set here
self.fGHz = np.unique(np.hstack((self.fGHz, fGHz)))
apchan = self.dap[iap]['chan']
try:
self.aap = np.vstack((self.aap, self.dap[iap]['p']))
self.ptdbm = np.vstack(
(self.ptdbm, self.dap[iap]['PtdBm']))
self.bmhz = np.vstack(
(self.bmhz, self.dap[iap].s.chan[apchan[0]]['BMHz']))
except:
self.aap = self.dap[iap]['p']
self.ptdbm = np.array(self.dap[iap]['PtdBm'])
self.bmhz = np.array(
self.dap[iap].s.chan[apchan[0]]['BMHz'])
PnW = np.array((10**(self.noisefactordb / 10.)) * self.kB *
self.temperaturek * self.bmhz * 1e6)
self.pnw = PnW
# Evaluate Noise Power (in dBm)
self.pndbm = np.array(10 * np.log10(PnW) + 30)
#lchan = map(lambda x: self.dap[x]['chan'],lap)
#apchan = zip(self.dap.keys(),lchan)
#self.bmhz = np.array(map(lambda x: self.dap[x[0]].s.chan[x[1][0]]['BMHz']*len(x[1]),apchan))
self.ptdbm = self.ptdbm.T
self.pndbm = self.pndbm.T
# creating all links
# all grid to all ap
#
if len(self.pndbm.shape) == 0:
self.ptdbm = self.ptdbm.reshape(1, 1)
self.pndbm = self.pndbm.reshape(1, 1)
p = product(range(self.ng), lactiveAP)
#
# pa : access point
# pg : grid point
#
# 1 x na
for k in p:
pg = self.grid[k[0], :]
pa = np.array(self.dap[k[1]]['p'])
# exemple with 3 AP
# 321 0
# 321 1
# 321 2
# 322 0
try:
self.pa = np.vstack((self.pa, pa))
except:
self.pa = pa
try:
self.pg = np.vstack((self.pg, pg))
except:
self.pg = pg
self.pa = self.pa.T
shpa = self.pa.shape
shpg = self.pg.shape
if shpa[0] != 3:
self.pa = np.vstack((self.pa, np.ones(shpa[1])))
self.pg = self.pg.T
self.pg = np.vstack((self.pg, self.zgrid * np.ones(shpg[0])))
self.nf = len(self.fGHz)
# retrieving dimensions along the 3 axis
na = len(lactiveAP)
self.na = na
ng = self.ng
nf = self.nf
for k, iap in enumerate(self.dap):
# select only one access point
u = na * np.arange(0, ng, 1).astype('int') + k
if self.dap[iap]['on']:
pt = self.pa[:, u]
pr = self.pg[:, u]
azoffset = self.dap[iap]['phideg'] * np.pi / 180.
self.dap[iap].A.eval(fGHz=self.fGHz,
pt=pt,
pr=pr,
azoffset=azoffset)
gain = (self.dap[iap].A.G).T
#pdb.set_trace()
# to handle omnidirectional antenna (nf,1,1)
if gain.shape[1] == 1:
gain = np.repeat(gain, ng, axis=1)
try:
tgain = np.dstack((tgain, gain[:, :, None]))
except:
tgain = gain[:, :, None]
#Lwo,Lwp,Edo,Edp = loss.Losst(self.L,self.fGHz,self.pa,self.pg,dB=False)
Lwo, Lwp, Edo, Edp = loss.Losst(self.L,
self.fGHz,
self.pa,
self.pg,
dB=False)
self.Lwo = Lwo.reshape(nf, ng, na)
self.Edo = Edo.reshape(nf, ng, na)
self.Lwp = Lwp.reshape(nf, ng, na)
self.Edp = Edp.reshape(nf, ng, na)
freespace = loss.PL(self.fGHz, self.pa, self.pg, dB=False)
self.freespace = freespace.reshape(nf, ng, na)
# transmitting power
# f x g x a
# CmW : Received Power coverage in mW
self.CmWo = 10**(self.ptdbm[np.newaxis, ...] /
10.) * self.Lwo * self.freespace * tgain
self.CmWp = 10**(self.ptdbm[np.newaxis, ...] /
10.) * self.Lwp * self.freespace * tgain
if self.typ == 'intensity':
self.cmWo = 10 * np.log10(self.cmWo)
self.cmWo = 10 * np.log10(self.cmWp)
if snr:
self.evsnr()
if sinr:
self.evsinr()
if best:
self.evbestsv()
def evsnr(self):
""" calculates signal to noise ratio
"""
NmW = 10**(self.pndbm / 10.)[np.newaxis, :]
self.snro = self.CmWo / NmW
self.snrp = self.CmWp / NmW
def evsinr(self):
""" calculates sinr
"""
# na : number of access point
na = self.na
# U : 1 x 1 x na x na
U = (np.ones((na, na)) - np.eye(na))[np.newaxis, np.newaxis, :, :]
# CmWo : received power in mW orthogonal polarization
# CmWp : received power in mW parallel polarization
ImWo = np.einsum('ijkl,ijl->ijk', U, self.CmWo)
ImWp = np.einsum('ijkl,ijl->ijk', U, self.CmWp)
NmW = 10**(self.pndbm / 10.)[np.newaxis, :]
self.sinro = self.CmWo / (ImWo + NmW)
self.sinrp = self.CmWp / (ImWp + NmW)
def evbestsv(self):
""" determine the best server map
Notes
-----
C.bestsv
"""
na = self.na
ng = self.ng
nf = self.nf
# find best server regions
Vo = self.CmWo
Vp = self.CmWp
self.bestsvo = np.empty(nf * ng * na).reshape(nf, ng, na)
self.bestsvp = np.empty(nf * ng * na).reshape(nf, ng, na)
for kf in range(nf):
MaxVo = np.max(Vo[kf, :, :], axis=1)
MaxVp = np.max(Vp[kf, :, :], axis=1)
for ka in range(na):
uo = np.where(Vo[kf, :, ka] == MaxVo)
up = np.where(Vp[kf, :, ka] == MaxVp)
self.bestsvo[kf, uo, ka] = ka + 1
self.bestsvp[kf, up, ka] = ka + 1
def plot(self, **kwargs):
"""
"""
defaults = {
'typ': 'pr',
'grid': False,
'f': 0,
'a': 0,
'db': True,
'label': '',
'pol': 'p',
'col': 'b'
}
for k in defaults:
if k not in kwargs:
kwargs[k] = defaults[k]
if 'fig' in kwargs:
fig = kwargs['fig']
else:
fig = plt.figure()
if 'ax' in kwargs:
ax = kwargs['ax']
else:
ax = fig.add_subplot(111)
if kwargs['typ'] == 'pr':
if kwargs['a'] <> -1:
if kwargs['pol'] == 'p':
U = self.CmWp[kwargs['f'], :, kwargs['a']]
if kwargs['pol'] == 'o':
U = self.CmWo[kwargs['f'], :, kwargs['a']]
else:
if kwargs['pol'] == 'p':
U = self.CmWp[kwargs['f'], :, :].reshape(self.na * self.ng)
else:
U = self.CmWo[kwargs['f'], :, :].reshape(self.na * self.ng)
if kwargs['db']:
U = 10 * np.log10(U)
D = np.sqrt(np.sum((self.pa - self.pg) * (self.pa - self.pg), axis=0))
if kwargs['a'] <> -1:
D = D.reshape(self.ng, self.na)
ax.semilogx(D[:, kwargs['a']],
U,
'.',
color=kwargs['col'],
label=kwargs['label'])
else:
ax.semilogx(D, U, '.', color=kwargs['col'], label=kwargs['label'])
return fig, ax
def show(self, **kwargs):
""" show coverage
Parameters
----------
typ : string
'pr' | 'sinr' | 'capacity' | 'loss' | 'best' | 'egd'
grid : boolean
polar : string
'o' | 'p'
best : boolean
draw best server contour if True
f : int
frequency index
a : int
access point index (-1 all access point)
Examples
--------
.. plot::
:include-source:
>>> from pylayers.antprop.coverage import *
>>> C = Coverage()
>>> C.cover()
>>> f,a = C.show(typ='pr',figsize=(10,8))
>>> plt.show()
>>> f,a = C.show(typ='best',figsize=(10,8))
>>> plt.show()
>>> f,a = C.show(typ='loss',figsize=(10,8))
>>> plt.show()
>>> f,a = C.show(typ='sinr',figsize=(10,8))
>>> plt.show()
See Also
--------
pylayers.gis.layout.Layout.showG
"""
defaults = {
'typ': 'pr',
'grid': False,
'polar': 'p',
'f': 0,
'a': -1,
'db': True,
'cmap': cm.jet,
'best': True
}
title = self.dap[self.dap.keys()[0]].s.name + ' : '
for k in defaults:
if k not in kwargs:
kwargs[k] = defaults[k]
polar = kwargs['polar']
assert polar in ['p', 'o'], "polar wrongly defined in show coverage"
if 'fig' in kwargs:
if 'ax' in kwargs:
fig, ax = self.L.showG('s', fig=kwargs['fig'], ax=kwargs['ax'])
else:
fig, ax = self.L.showG('s', fig=kwargs['fig'])
else:
if 'figsize' in kwargs:
fig, ax = self.L.showG('s', figsize=kwargs['figsize'])
else:
fig, ax = self.L.showG('s')
# plot the grid
self.typ = kwargs['typ']
typ = kwargs['typ']
if kwargs['grid']:
for k in self.dap:
p = self.dap[k].p
ax.plot(p[0], p[1], 'or')
f = kwargs['f']
a = kwargs['a']
assert typ in [
'best', 'egd', 'sinr', 'snr', 'capacity', 'pr', 'loss',
'intensity', 'losssombreamento', 'prsombreamento',
'snrsombreamento'
], "typ unknown in show coverage"
best = kwargs['best']
dB = kwargs['db']
# setting the grid
l = self.grid[0, 0]
r = self.grid[-1, 0]
b = self.grid[0, 1]
t = self.grid[-1, -1]
arq = open('cobertura.txt', 'w')
texto = '''dBm e V/m \n'''
arq.write(texto)
arq.close()
if typ == 'best':
title = title + 'Best server' + ' fc = ' + str(
self.fGHz[f]) + ' GHz' + ' polar : ' + polar
for ka in range(self.na):
if polar == 'p':
bestsv = self.bestsvp[f, :, ka]
if polar == 'o':
bestsv = self.bestsvo[f, :, ka]
m = np.ma.masked_where(bestsv == 0, bestsv)
if self.mode <> 'file':
W = m.reshape(self.nx, self.ny).T
ax.imshow(W,
extent=(l, r, b, t),
origin='lower',
vmin=1,
vmax=self.na + 1)
else:
ax.scatter(self.grid[:, 0],
self.grid[:, 1],
c=m,
s=20,
linewidth=0)
ax.set_title(title)
else:
if typ == 'egd':
title = title + 'excess group delay : ' + ' fc = ' + str(
self.fGHz[f]) + ' GHz' + ' polar : ' + polar
V = self.Ed
dB = False
legcb = 'Delay (ns)'
if typ == 'sinr':
title = title + 'SINR : ' + ' fc = ' + str(
self.fGHz[f]) + ' GHz' + ' polar : ' + polar
if dB:
legcb = 'dB'
else:
legcb = 'Linear scale'
if polar == 'o':
V = self.sinro
if polar == 'p':
V = self.sinrp
if typ == 'snr':
title = title + 'SNR : ' + ' fc = ' + str(
self.fGHz[f]) + ' GHz' + ' polar : ' + polar
if dB:
legcb = 'dB'
else:
legcb = 'Linear scale'
if polar == 'o':
V = self.snro
if polar == 'p':
V = self.snrp
if typ == 'capacity':
title = title + 'Capacity : ' + ' fc = ' + str(
self.fGHz[f]) + ' GHz' + ' polar : ' + polar
legcb = 'Mbit/s'
if polar == 'o':
V = self.bmhz.T[np.newaxis, :] * np.log(
1 + self.sinro) / np.log(2)
if polar == 'p':
V = self.bmhz.T[np.newaxis, :] * np.log(
1 + self.sinrp) / np.log(2)
if typ == 'pr':
title = title + 'Pr : ' + ' fc = ' + str(
self.fGHz[f]) + ' GHz' + ' polar : ' + polar
if dB:
legcb = 'dBm'
else:
lgdcb = 'mW'
if polar == 'o':
V = self.CmWo
if polar == 'p':
V = self.CmWp
if typ == 'loss':
title = title + 'Loss : ' + ' fc = ' + str(
self.fGHz[f]) + ' GHz' + ' polar : ' + polar
if dB:
legcb = 'dB'
else:
legcb = 'Linear scale'
if polar == 'o':
V = self.Lwo * self.freespace
if polar == 'p':
V = self.Lwp * self.freespace
if typ == 'losssombreamento':
#relaxa que esse so muda no final
title = title + 'Loss Log : ' + ' fc = ' + str(
self.fGHz[f]) + ' GHz' + ' polar : ' + polar
if dB:
legcb = 'dB'
else:
lgdcb = 'Linear scale'
if polar == 'o':
V = self.CmWo
if polar == 'p':
V = self.CmWp
if typ == 'prsombreamento':
#relaxa que esse so muda no final
title = title + 'Pr Log : ' + ' fc = ' + str(
self.fGHz[f]) + ' GHz' + ' polar : ' + polar
if dB:
legcb = 'dBm'
else:
lgdcb = 'Linear scale'
if polar == 'o':
V = self.CmWo
if polar == 'p':
V = self.CmWp
if typ == 'snrsombreamento':
#relaxa que esse so muda no final
title = title + 'SNR Log : ' + ' fc = ' + str(
self.fGHz[f]) + ' GHz' + ' polar : ' + polar
if dB:
legcb = 'dB'
else:
lgdcb = 'Linear scale'
if polar == 'o':
V = self.CmWo
if polar == 'p':
V = self.CmWp
if typ == 'intensity':
title = title + 'Intensity : ' + ' fc = ' + str(
self.fGHz[f]) + ' GHz' + ' polar : ' + polar
legcb = 'V/m'
if polar == 'o':
V = np.power(10, (
(self.CmWo + 20 * np.log10(self.fGHz[f] * 1000) + 77.2)
/ 20)) * 0.000001
if polar == 'p':
V = np.power(10, (
(self.CmWp + 20 * np.log10(self.fGHz[f] * 1000) + 77.2)
/ 20)) * 0.000001
if a == -1:
V = np.max(V[f, :, :], axis=1)
else:
V = V[f, :, a]
# reshaping the data on the grid
if self.mode != 'file':
U = V.reshape((self.nx, self.ny)).T
else:
U = V
if dB and typ != 'intensity':
if typ == 'losssombreamento' or typ == 'prsombreamento' or typ == 'snrsombreamento':
f = self.fGHz[f] * 1000
Lf = self.PtDB - self.Prdo + self.Gt + self.Gr
medidas1 = []
dx = np.linspace(0, self.xt, self.nx)
dy = np.linspace(0, self.yt, self.ny)
for i in range(self.ny):
medidas1.append([])
for i in range(self.ny):
for j in range(self.nx):
medidas1[i].append(
np.sqrt(
np.power(dx[j] - self.x0, 2) +
np.power(dy[i] - self.y0, 2)) / 1000)
desvio = 0
X = np.random.normal(0, self.desviopadrao, len(medidas1))
PL2 = []
maior, menor = 0, 100
for i in range(self.ny):
PL2.append([])
for i in range(self.ny):
for j in range(self.nx):
oi = Lf + 10 * self.n * np.log10(
medidas1[i][j] / self.do) + X[i]
PL2[i].append(oi)
if (maior < oi):
maior = oi
if (menor > oi):
menor = oi
menor = np.floor(menor / 10) * 10
maior = np.ceil(maior / 10) * 10
if typ == 'prsombreamento':
maior, menor = -100, 0
pr = []
for i in range(self.ny):
pr.append([])
for i in range(self.ny):
for j in range(self.nx):
oi = self.PtDB - PL2[i][j]
pr[i].append(oi)
if (maior < oi):
maior = oi
if (menor > oi):
menor = oi
menor = np.floor(menor / 10) * 10
maior = np.ceil(maior / 10) * 10
U = pr
elif typ == 'snrsombreamento':
maior, menor = -100, 100
pr = []
for i in range(self.ny):
pr.append([])
for i in range(self.ny):
for j in range(self.nx):
oi = PL2[i][j] / self.pnw[0][0]
pr[i].append(oi)
if (maior < oi):
maior = oi
if (menor > oi):
menor = oi
menor = np.floor(menor / 10) * 10
maior = np.ceil(maior / 10) * 10
U = pr
else:
U = PL2
else:
U = 10 * np.log10(U)
#print U
arq = open('cobertura.txt', 'w')
texto = []
for linha in U:
texto.append(str(linha) + '\n')
arq.writelines(texto)
arq.close()
if 'vmin' in kwargs:
vmin = kwargs['vmin']
else:
if typ == 'losssombreamento' or typ == 'prsombreamento' or typ == 'snrsombreamento':
vmin = menor
else:
vmin = U.min()
if 'vmax' in kwargs:
vmax = kwargs['vmax']
else:
if typ == 'losssombreamento' or typ == 'prsombreamento' or typ == 'snrsombreamento':
vmax = maior
else:
vmax = U.max()
if self.mode != 'file':
img = ax.imshow(U,
extent=(l, r, b, t),
origin='lower',
vmin=vmin,
vmax=vmax,
cmap=kwargs['cmap'])
else:
img = ax.scatter(self.grid[:, 0],
self.grid[:, 1],
c=U,
s=20,
linewidth=0,
cmap=kwargs['cmap'],
vmin=vmin,
vmax=vmax)
for k in range(self.na):
ax.annotate(str(k), xy=(self.pa[0, k], self.pa[1, k]))
ax.set_title(title)
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.05)
clb = fig.colorbar(img, cax)
clb.set_label(legcb)
if typ == 'losssombreamento' or typ == 'prsombreamento' or typ == 'snrsombreamento':
print 'Modelo do Sombreamento Log Normal'
else:
if best:
if self.mode <> 'file':
if polar == 'o':
ax.contour(np.sum(self.bestsvo,
axis=2)[f, :].reshape(
self.nx, self.ny).T,
extent=(l, r, b, t),
linestyles='dotted')
if polar == 'p':
ax.contour(np.sum(self.bestsvp,
axis=2)[f, :].reshape(
self.nx, self.ny).T,
extent=(l, r, b, t),
linestyles='dotted')
# display access points
if a == -1:
ax.scatter(self.pa[0, :], self.pa[1, :], s=30, c='r', linewidth=0)
else:
ax.scatter(self.pa[0, a], self.pa[1, a], s=30, c='r', linewidth=0)
plt.tight_layout()
return (fig, ax)
class Coverage(PyLayers):
""" Handle Layout Coverage
Methods
-------
creategrid()
create a uniform grid for evaluating losses
cover()
run the coverage calculation
showPower()
display the map of received power
showLoss()
display the map of losses
Attributes
----------
All attributes are read from fileini ino the ini directory of the
current project
_fileini
default coverage.ini
L : a Layout
nx : number of point on x
ny : number of point on y
tx : transmitter position
txpe : transmitter power emmission level
show : boolean for automatic display power map
na : number of access point
"""
def __init__(self,_fileini='coverage.ini'):
""" object constructor
Parameters
----------
_fileini : string
name of the configuration file
Notes
-----
Coverage is described in an ini file.
Default file is coverage.ini and is placed in the ini directory of the current project.
"""
self.config = ConfigParser.ConfigParser()
self.config.read(pyu.getlong(_fileini,pstruc['DIRSIMUL']))
self.layoutopt = dict(self.config.items('layout'))
self.gridopt = dict(self.config.items('grid'))
self.apopt = dict(self.config.items('ap'))
self.rxopt = dict(self.config.items('rx'))
self.showopt = dict(self.config.items('show'))
# get the Layout
filename = self.layoutopt['filename']
if filename.endswith('ini'):
self.typ = 'indoor'
self.L = Layout(filename)
# get the receiving grid
self.nx = eval(self.gridopt['nx'])
self.ny = eval(self.gridopt['ny'])
self.mode = self.gridopt['mode']
self.boundary = eval(self.gridopt['boundary'])
self.filespa = self.gridopt['file']
#
# create grid
#
self.creategrid(mode=self.mode,boundary=self.boundary,_fileini=self.filespa)
self.dap = {}
for k in self.apopt:
kwargs = eval(self.apopt[k])
ap = std.AP(**kwargs)
self.dap[eval(k)] = ap
try:
self.L.Gt.nodes()
except:
pass
try:
self.L.dumpr()
except:
self.L.build()
self.L.dumpw()
else:
self.typ='outdoor'
self.E = ez.Ezone(filename)
self.E.loadh5()
self.E.rebase()
self.fGHz = np.array([])
#self.fGHz = eval(self.txopt['fghz'])
#self.tx = np.array((eval(self.txopt['x']),eval(self.txopt['y'])))
#self.ptdbm = eval(self.txopt['ptdbm'])
#self.framelengthbytes = eval(self.txopt['framelengthbytes'])
# receiver section
#self.rxsens = eval(self.rxopt['sensitivity'])
self.temperaturek = eval(self.rxopt['temperaturek'])
self.noisefactordb = eval(self.rxopt['noisefactordb'])
# show section
self.bshow = str2bool(self.showopt['show'])
def __repr__(self):
st=''
if self.typ=='indoor':
st = st+ 'Layout file : '+self.L.filename + '\n\n'
st = st + '-----list of Access Points ------'+'\n'
for k in self.dap:
st = st + self.dap[k].__repr__()+'\n'
st = st + '-----Rx------'+'\n'
st= st+ 'temperature (K) : '+ str(self.temperaturek) + '\n'
st= st+ 'noisefactor (dB) : '+ str(self.noisefactordb) + '\n\n'
st = st + '--- Grid ----'+'\n'
st= st+ 'mode : ' + str(self.mode) + '\n'
if self.mode<>'file':
st= st+ 'nx : ' + str(self.nx) + '\n'
st= st+ 'ny : ' + str(self.ny) + '\n'
if self.mode=='zone':
st= st+ 'boundary (xmin,ymin,xmax,ymax) : ' + str(self.boundary) + '\n\n'
if self.mode=='file':
st = st+' filename : '+self.filespa+'\n'
return(st)
def creategrid(self,mode='full',boundary=[],_fileini=''):
""" create a grid
Parameters
----------
full : boolean
default (True) use all the layout area
boundary : (xmin,ymin,xmax,ymax)
if full is False the boundary argument is used
"""
if mode=="file":
self.RN = RadioNode(name='',
typ='rx',
_fileini = _fileini,
_fileant = 'def.vsh3')
self.grid =self.RN.position[0:2,:].T
else:
if mode=="full":
mi=np.min(self.L.Gs.pos.values(),axis=0)+0.01
ma=np.max(self.L.Gs.pos.values(),axis=0)-0.01
if mode=="zone":
assert boundary<>[]
mi = np.array([boundary[0],boundary[1]])
ma = np.array([boundary[2],boundary[3]])
x = np.linspace(mi[0],ma[0],self.nx)
y = np.linspace(mi[1],ma[1],self.ny)
self.grid=np.array((list(np.broadcast(*np.ix_(x, y)))))
self.ng = self.grid.shape[0]
def where1(self):
"""
Unfinished : Not sure this is the right place (too specific)
"""
M1 = UWBMeasure(1)
self.dap={}
self.dap[1]={}
self.dap[2]={}
self.dap[3]={}
self.dap[4]={}
self.dap[1]['p']=M1.rx[1,0:2]
self.dap[2]['p']=M1.rx[1,0:2]
self.dap[3]['p']=M1.rx[1,0:2]
self.dap[4]['p']=M1.rx[1,0:2]
for k in range(300):
try:
M = UWBMeasure(k)
tx = M.tx
self.grid=np.vstack((self.grid,tx[0:2]))
D = M.rx-tx[np.newaxis,:]
D2 = D*D
dist = np.sqrt(np.sum(D2,axis=1))[1:]
Emax = M.Emax()
Etot = M.Etot()[0]
try:
td1 = np.hstack((td1,dist[0]))
td2 = np.hstack((td2,dist[1]))
td3 = np.hstack((td3,dist[2]))
td4 = np.hstack((td4,dist[3]))
te1 = np.hstack((te1,Emax[0]))
te2 = np.hstack((te2,Emax[1]))
te3 = np.hstack((te3,Emax[2]))
te4 = np.hstack((te4,Emax[3]))
tt1 = np.hstack((tt1,Etot[0]))
tt2 = np.hstack((tt2,Etot[1]))
tt3 = np.hstack((tt3,Etot[2]))
tt4 = np.hstack((tt4,Etot[3]))
#tdist = np.hstack((tdist,dist))
#te = np.hstack((te,Emax))
except:
td1=np.array(dist[0])
td2=np.array(dist[1])
td3=np.array(dist[2])
td4=np.array(dist[3])
te1 =np.array(Emax[0])
te2 =np.array(Emax[1])
te3 =np.array(Emax[2])
te4 =np.array(Emax[3])
tt1 =np.array(Etot[0])
tt2 =np.array(Etot[1])
tt3 =np.array(Etot[2])
tt4 =np.array(Etot[3])
except:
pass
def cover(self,sinr=True,snr=True,best=True):
""" run the coverage calculation
Parameters
----------
sinr : boolean
snr : boolean
best : boolean
Examples
--------
.. plot::
:include-source:
>>> from pylayers.antprop.coverage import *
>>> C = Coverage()
>>> C.cover()
>>> f,a=C.show(typ='sinr',figsize=(10,8))
>>> plt.show()
Notes
-----
self.fGHz is an array, it means that Coverage is calculated at once
for a whole set of frequencies. In practice, it would be the center
frequency of a given standard channel.
This function is calling `loss.Losst` which calculates Losses along a
straight path.
In a future implementation we will
abstract the EM solver in order to make use of other calculation
approaches as a full or partial Ray Tracing.
The following members variables are evaluated :
+ freespace Loss @ fGHz PL() PathLoss (shoud be rename FS as free space) $
+ prdbmo : Received power in dBm .. math:`P_{rdBm} =P_{tdBm} - L_{odB}`
+ prdbmp : Received power in dBm .. math:`P_{rdBm} =P_{tdBm} - L_{pdB}`
+ snro : SNR polar o (H)
+ snrp : SNR polar p (H)
See Also
--------
pylayers.antprop.loss.Losst
pylayers.antprop.loss.PL
"""
#
# select active AP
#
lactiveAP = []
try:
del self.aap
del self.ptdbm
except:
pass
self.kB = 1.3806503e-23 # Boltzmann constant
for iap in self.dap:
if self.dap[iap]['on']:
lactiveAP.append(iap)
fGHz = self.dap[iap].s.fcghz
self.fGHz=np.unique(np.hstack((self.fGHz,fGHz)))
apchan = self.dap[iap]['chan']
try:
self.aap = np.vstack((self.aap,self.dap[iap]['p'][0:2]))
self.ptdbm = np.vstack((self.ptdbm,self.dap[iap]['PtdBm']))
self.bmhz = np.vstack((self.bmhz,
self.dap[iap].s.chan[apchan[0]]['BMHz']))
except:
self.aap = self.dap[iap]['p'][0:2]
self.ptdbm = np.array(self.dap[iap]['PtdBm'])
self.bmhz = np.array(self.dap[iap].s.chan[apchan[0]]['BMHz'])
PnW = np.array((10**(self.noisefactordb/10.))*self.kB*self.temperaturek*self.bmhz*1e6)
# Evaluate Noise Power (in dBm)
self.pndbm = np.array(10*np.log10(PnW)+30)
#lchan = map(lambda x: self.dap[x]['chan'],lap)
#apchan = zip(self.dap.keys(),lchan)
#self.bmhz = np.array(map(lambda x: self.dap[x[0]].s.chan[x[1][0]]['BMHz']*len(x[1]),apchan))
self.ptdbm = self.ptdbm.T
self.pndbm = self.pndbm.T
# creating all links
p = product(range(self.ng),lactiveAP)
#
# pa : access point
# pg : grid point
#
# 1 x na
for k in p:
pg = self.grid[k[0],:]
pa = self.dap[k[1]]['p'][0:2]
try:
self.pa = np.vstack((self.pa,pa))
except:
self.pa = pa
try:
self.pg = np.vstack((self.pg,pg))
except:
self.pg = pg
self.pa = self.pa.T
self.pg = self.pg.T
self.nf = len(self.fGHz)
# retrieving dimensions along the 3 axis
na = len(lactiveAP)
self.na = na
ng = self.ng
nf = self.nf
Lwo,Lwp,Edo,Edp = loss.Losst(self.L,self.fGHz,self.pa,self.pg,dB=False)
self.Lwo = Lwo.reshape(nf,ng,na)
self.Edo = Edo.reshape(nf,ng,na)
self.Lwp = Lwp.reshape(nf,ng,na)
self.Edp = Edp.reshape(nf,ng,na)
freespace = loss.PL(self.fGHz,self.pa,self.pg,dB=False)
self.freespace = freespace.reshape(nf,ng,na)
# transmitting power
# f x g x a
# CmW : Received Power coverage in mW
self.CmWo = 10**(self.ptdbm[np.newaxis,...]/10.)*self.Lwo*self.freespace
self.CmWp = 10**(self.ptdbm[np.newaxis,...]/10.)*self.Lwp*self.freespace
if snr:
self.evsnr()
if sinr:
self.evsinr()
if best:
self.evbestsv()
def evsnr(self):
""" calculates snr
"""
NmW = 10**(self.pndbm/10.)[np.newaxis,:]
self.snro = self.CmWo/NmW
self.snrp = self.CmWp/NmW
def evsinr(self):
""" calculates sinr
"""
# na : number of access point
na = self.na
# U : 1 x 1 x na x na
U = (np.ones((na,na))-np.eye(na))[np.newaxis,np.newaxis,:,:]
# CmWo : received power in mW orthogonal polarization
# CmWp : received power in mW parallel polarization
ImWo = np.einsum('ijkl,ijl->ijk',U,self.CmWo)
ImWp = np.einsum('ijkl,ijl->ijk',U,self.CmWp)
NmW = 10**(self.pndbm/10.)[np.newaxis,:]
self.sinro = self.CmWo/(ImWo+NmW)
self.sinrp = self.CmWp/(ImWp+NmW)
def evbestsv(self):
""" determine the best server map
Notes
-----
C.bestsv
"""
na = self.na
ng = self.ng
nf = self.nf
# find best server regions
Vo = self.CmWo
Vp = self.CmWp
self.bestsvo = np.empty(nf*ng*na).reshape(nf,ng,na)
self.bestsvp = np.empty(nf*ng*na).reshape(nf,ng,na)
for kf in range(nf):
MaxVo = np.max(Vo[kf,:,:],axis=1)
MaxVp = np.max(Vp[kf,:,:],axis=1)
for ka in range(na):
uo = np.where(Vo[kf,:,ka]==MaxVo)
up = np.where(Vp[kf,:,ka]==MaxVp)
self.bestsvo[kf,uo,ka]=ka+1
self.bestsvp[kf,up,ka]=ka+1
# def showEd(self,polar='o',**kwargs):
# """ shows a map of direct path excess delay
#
# Parameters
# ----------
#
# polar : string
# 'o' | 'p'
#
# Examples
# --------
#
# .. plot::
# :include-source:
#
# >> from pylayers.antprop.coverage import *
# >> C = Coverage()
# >> C.cover()
# >> C.showEd(polar='o')
#
# """
#
# if not kwargs.has_key('alphacy'):
# kwargs['alphacy']=0.0
# if not kwargs.has_key('colorcy'):
# kwargs['colorcy']='w'
# if not kwargs.has_key('nodes'):
# kwargs['nodes']=False
#
# fig,ax = self.L.showG('s',**kwargs)
# l = self.grid[0,0]
# r = self.grid[-1,0]
# b = self.grid[0,1]
# t = self.grid[-1,-1]
#
# cdict = {
# 'red' : ((0., 0.5, 0.5), (1., 1., 1.)),
# 'green': ((0., 0.5, 0.5), (1., 1., 1.)),
# 'blue' : ((0., 0.5, 0.5), (1., 1., 1.))
# }
# #generate the colormap with 1024 interpolated values
# my_cmap = m.colors.LinearSegmentedColormap('my_colormap', cdict, 1024)
#
# if polar=='o':
# prdbm=self.prdbmo
# if polar=='p':
# prdbm=self.prdbmp
#
#
#
# if polar=='o':
# mcEdof = np.ma.masked_where(prdbm < self.rxsens,self.Edo)
#
# cov=ax.imshow(mcEdof.reshape((self.nx,self.ny)).T,
# extent=(l,r,b,t),cmap = 'jet',
# origin='lower')
#
#
#
# # cov=ax.imshow(self.Edo.reshape((self.nx,self.ny)).T,
# # extent=(l,r,b,t),
# # origin='lower')
# titre = "Map of LOS excess delay, polar orthogonal"
#
# if polar=='p':
# mcEdpf = np.ma.masked_where(prdbm < self.rxsens,self.Edp)
#
# cov=ax.imshow(mcEdpf.reshape((self.nx,self.ny)).T,
# extent=(l,r,b,t),cmap = 'jet',
# origin='lower')
#
# # cov=ax.imshow(self.Edp.reshape((self.nx,self.ny)).T,
# # extent=(l,r,b,t),
# # origin='lower')
# titre = "Map of LOS excess delay, polar parallel"
#
# ax.scatter(self.tx[0],self.tx[1],linewidth=0)
# ax.set_title(titre)
#
# divider = make_axes_locatable(ax)
# cax = divider.append_axes("right", size="5%", pad=0.05)
# clb = fig.colorbar(cov,cax)
# clb.set_label('excess delay (ns)')
#
# if self.show:
# plt.show()
# return fig,ax
#
# def showPower(self,rxsens=True,nfl=True,polar='o',**kwargs):
# """ show the map of received power
#
# Parameters
# ----------
#
# rxsens : bool
# clip the map with rx sensitivity set in self.rxsens
# nfl : bool
# clip the map with noise floor set in self.pndbm
# polar : string
# 'o'|'p'
#
# Examples
# --------
#
# .. plot::
# :include-source:
#
# > from pylayers.antprop.coverage import *
# > C = Coverage()
# > C.cover()
# > C.showPower()
#
# """
#
# if not kwargs.has_key('alphacy'):
# kwargs['alphacy']=0.0
# if not kwargs.has_key('colorcy'):
# kwargs['colorcy']='w'
# if not kwargs.has_key('nodes'):
# kwargs['nodes']=False
# fig,ax = self.L.showG('s',**kwargs)
#
# l = self.grid[0,0]
# r = self.grid[-1,0]
# b = self.grid[0,1]
# t = self.grid[-1,-1]
#
# if polar=='o':
# prdbm=self.prdbmo
# if polar=='p':
# prdbm=self.prdbmp
#
## tCM = plt.cm.get_cmap('jet')
## tCM._init()
## alphas = np.abs(np.linspace(.0,1.0, tCM.N))
## tCM._lut[:-3,-1] = alphas
#
# title='Map of received power - Pt = ' + str(self.ptdbm) + ' dBm'+str(' fGHz =') + str(self.fGHz) + ' polar = '+polar
#
# cdict = {
# 'red' : ((0., 0.5, 0.5), (1., 1., 1.)),
# 'green': ((0., 0.5, 0.5), (1., 1., 1.)),
# 'blue' : ((0., 0.5, 0.5), (1., 1., 1.))
# }
#
# if not kwargs.has_key('cmap'):
# # generate the colormap with 1024 interpolated values
# cmap = m.colors.LinearSegmentedColormap('my_colormap', cdict, 1024)
# else:
# cmap = kwargs['cmap']
# #my_cmap = cm.copper
#
#
# if rxsens :
#
# ## values between the rx sensitivity and noise floor
# mcPrf = np.ma.masked_where((prdbm > self.rxsens)
# & (prdbm < self.pndbm),prdbm)
# # mcPrf = np.ma.masked_where((prdbm > self.rxsens) ,prdbm)
#
# cov1 = ax.imshow(mcPrf.reshape((self.nx,self.ny)).T,
# extent=(l,r,b,t),cmap = cm.copper,
# vmin=self.rxsens,origin='lower')
#
# ### values above the sensitivity
# mcPrs = np.ma.masked_where(prdbm < self.rxsens,prdbm)
# cov = ax.imshow(mcPrs.reshape((self.nx,self.ny)).T,
# extent=(l,r,b,t),
# cmap = cmap,
# vmin=self.rxsens,origin='lower')
# title=title + '\n black : Pr (dBm) < %.2f' % self.rxsens + ' dBm'
#
# else :
# cov=ax.imshow(prdbm.reshape((self.nx,self.ny)).T,
# extent=(l,r,b,t),
# cmap = cmap,
# vmin=self.pndbm,origin='lower')
#
# if nfl:
# ### values under the noise floor
# ### we first clip the value below the noise floor
# cl = np.nonzero(prdbm<=self.pndbm)
# cPr = prdbm
# cPr[cl] = self.pndbm
# mcPruf = np.ma.masked_where(cPr > self.pndbm,cPr)
# cov2 = ax.imshow(mcPruf.reshape((self.nx,self.ny)).T,
# extent=(l,r,b,t),cmap = 'binary',
# vmax=self.pndbm,origin='lower')
# title=title + '\n white : Pr (dBm) < %.2f' % self.pndbm + ' dBm'
#
#
# ax.scatter(self.tx[0],self.tx[1],s=10,c='k',linewidth=0)
#
# ax.set_title(title)
# divider = make_axes_locatable(ax)
# cax = divider.append_axes("right", size="5%", pad=0.05)
# clb = fig.colorbar(cov,cax)
# clb.set_label('Power (dBm)')
#
# if self.show:
# plt.show()
#
# return fig,ax
#
#
# def showTransistionRegion(self,polar='o'):
# """
#
# Notes
# -----
#
# See : "Analyzing the Transitional Region in Low Power Wireless Links"
# Marco Zuniga and Bhaskar Krishnamachari
#
# Examples
# --------
#
# .. plot::
# :include-source:
#
# > from pylayers.antprop.coverage import *
# > C = Coverage()
# > C.cover()
# > C.showTransitionRegion()
#
# """
#
# frameLength = self.framelengthbytes
#
# PndBm = self.pndbm
# gammaU = 10*np.log10(-1.28*np.log(2*(1-0.9**(1./(8*frameLength)))))
# gammaL = 10*np.log10(-1.28*np.log(2*(1-0.1**(1./(8*frameLength)))))
#
# PrU = PndBm + gammaU
# PrL = PndBm + gammaL
#
# fig,ax = self.L.showGs()
#
# l = self.grid[0,0]
# r = self.grid[-1,0]
# b = self.grid[0,1]
# t = self.grid[-1,-1]
#
# if polar=='o':
# prdbm=self.prdbmo
# if polar=='p':
# prdbm=self.prdbmp
#
# zones = np.zeros(np.shape(prdbm))
# #pdb.set_trace()
#
# uconnected = np.nonzero(prdbm>PrU)
# utransition = np.nonzero((prdbm < PrU)&(prdbm > PrL))
# udisconnected = np.nonzero(prdbm < PrL)
#
# zones[uconnected] = 1
# zones[utransition] = (prdbm[utransition]-PrL)/(PrU-PrL)
# cov = ax.imshow(zones.reshape((self.nx,self.ny)).T,
# extent=(l,r,b,t),cmap = 'BuGn',origin='lower')
#
# title='PDR region'
# ax.scatter(self.tx[0],self.tx[1],linewidth=0)
#
# ax.set_title(title)
# divider = make_axes_locatable(ax)
# cax = divider.append_axes("right", size="5%", pad=0.05)
# fig.colorbar(cov,cax)
# if self.show:
# plt.show()
#
def plot(self,**kwargs):
"""
"""
defaults = { 'typ': 'pr',
'grid': False,
'f' : 0,
'a' : 0,
'db':True,
'col':'b'
}
for k in defaults:
if k not in kwargs:
kwargs[k]=defaults[k]
if 'fig' in kwargs:
fig=kwargs['fig']
else:
fig=plt.figure()
if 'ax' in kwargs:
ax = kwargs['ax']
else:
ax = fig.add_subplot(111)
if kwargs['typ']=='pr':
if kwargs['a']<>-1:
U = self.CmW[kwargs['f'],:,kwargs['a']]
else:
U = self.CmW[kwargs['f'],:,:].reshape(self.na*self.ng)
if kwargs['db']:
U = 10*np.log10(U)
D = np.sqrt(np.sum((self.pa-self.pg)*(self.pa-self.pg),axis=0))
if kwargs['a']<>-1:
D = D.reshape(self.ng,self.na)
ax.semilogx(D[:,kwargs['a']],U,'.',color=kwargs['col'])
else:
ax.semilogx(D,U,'.',color=kwargs['col'])
return fig,ax
def show(self,**kwargs):
""" show coverage
Parameters
----------
typ : string
'pr' | 'sinr' | 'capacity' | 'loss' | 'best' | 'egd'
grid : boolean
polar : string
'o' | 'p'
best : boolean
draw best server contour if True
f : int
frequency index
a : int
access point index (-1 all access point)
Examples
--------
.. plot::
:include-source:
>>> from pylayers.antprop.coverage import *
>>> C = Coverage()
>>> C.cover()
>>> f,a = C.show(typ='pr',figsize=(10,8))
>>> plt.show()
>>> f,a = C.show(typ='best',figsize=(10,8))
>>> plt.show()
>>> f,a = C.show(typ='loss',figsize=(10,8))
>>> plt.show()
>>> f,a = C.show(typ='sinr',figsize=(10,8))
>>> plt.show()
See Also
--------
pylayers.gis.layout.Layout.showG
"""
defaults = { 'typ': 'pr',
'grid': False,
'polar':'p',
'f' : 0,
'a' :-1,
'db':True,
'cmap' :cm.jet,
'best':True
}
title = self.dap[1].s.name+ ' : '
for k in defaults:
if k not in kwargs:
kwargs[k]=defaults[k]
polar = kwargs['polar']
if 'fig' in kwargs:
if 'ax' in kwargs:
fig,ax=self.L.showG('s',fig=kwargs['fig'],ax=kwargs['ax'])
else:
fig,ax=self.L.showG('s',fig=kwargs['fig'])
else:
if 'figsize' in kwargs:
fig,ax=self.L.showG('s',figsize=kwargs['figsize'])
else:
fig,ax=self.L.showG('s')
# plot the grid
if kwargs['grid']:
for k in self.dap:
p = self.dap[k].p
ax.plot(p[0],p[1],'or')
f = kwargs['f']
a = kwargs['a']
typ = kwargs['typ']
best = kwargs['best']
dB = kwargs['db']
# setting the grid
l = self.grid[0,0]
r = self.grid[-1,0]
b = self.grid[0,1]
t = self.grid[-1,-1]
if typ=='best':
title = title + 'Best server'+' fc = '+str(self.fGHz[f])+' GHz'+ ' polar : '+polar
for ka in range(self.na):
if polar=='p':
bestsv = self.bestsvp[f,:,ka]
if polar=='o':
bestsv = self.bestsvo[f,:,ka]
m = np.ma.masked_where(bestsv == 0,bestsv)
if self.mode<>'file':
W = m.reshape(self.nx,self.ny).T
ax.imshow(W, extent=(l,r,b,t),
origin='lower',
vmin=1,
vmax=self.na+1)
else:
ax.scatter(self.grid[:,0],self.grid[:,1],c=m,s=20,linewidth=0)
ax.set_title(title)
else:
if typ=='egd':
title = title + 'excess group delay : '+' fc = '+str(self.fGHz[f])+' GHz'+ ' polar : '+polar
V = self.Ed
dB = False
legcb = 'Delay (ns)'
if typ=='sinr':
title = title + 'SINR : '+' fc = '+str(self.fGHz[f])+' GHz'+ ' polar : '+polar
if dB:
legcb = 'dB'
else:
legcb = 'Linear scale'
if polar=='o':
V = self.sinro
if polar=='p':
V = self.sinrp
if typ=='snr':
title = title + 'SNR : '+' fc = '+str(self.fGHz[f])+' GHz'+ ' polar : '+polar
if dB:
legcb = 'dB'
else:
legcb = 'Linear scale'
if polar=='o':
V = self.snro
if polar=='p':
V = self.snrp
if typ=='capacity':
title = title + 'Capacity : '+' fc = '+str(self.fGHz[f])+' GHz'+ ' polar : '+polar
legcb = 'Mbit/s'
if polar=='o':
V = self.bmhz.T[np.newaxis,:]*np.log(1+self.sinro)/np.log(2)
if polar=='p':
V = self.bmhz.T[np.newaxis,:]*np.log(1+self.sinrp)/np.log(2)
if typ=='pr':
title = title + 'Pr : '+' fc = '+str(self.fGHz[f])+' GHz'+ ' polar : '+polar
if dB:
legcb = 'dBm'
else:
lgdcb = 'mW'
if polar=='o':
V = self.CmWo
if polar=='p':
V = self.CmWp
if typ=='loss':
title = title + 'Loss : '+' fc = '+str(self.fGHz[f])+' GHz'+ ' polar : '+polar
if dB:
legcb = 'dB'
else:
legcb = 'Linear scale'
if polar=='o':
V = self.Lwo*self.freespace
if polar=='p':
V = self.Lwp*self.freespace
if a == -1:
V = np.max(V[f,:,:],axis=1)
else:
V = V[f,:,a]
# reshaping the data on the grid
if self.mode!='file':
U = V.reshape((self.nx,self.ny)).T
else:
U = V
if dB:
U = 10*np.log10(U)
if 'vmin' in kwargs:
vmin = kwargs['vmin']
else:
vmin = U.min()
if 'vmax' in kwargs:
vmax = kwargs['vmax']
else:
vmax = U.max()
if self.mode!='file':
img = ax.imshow(U,
extent=(l,r,b,t),
origin='lower',
vmin = vmin,
vmax = vmax,
cmap = kwargs['cmap'])
else:
img=ax.scatter(self.grid[:,0],self.grid[:,1],c=U,s=20,linewidth=0,cmap=kwargs['cmap'])
for k in range(self.na):
ax.annotate(str(k),xy=(self.pa[0,k],self.pa[1,k]))
ax.set_title(title)
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.05)
clb = fig.colorbar(img,cax)
clb.set_label(legcb)
if best:
if self.mode<>'file':
if polar=='o':
ax.contour(np.sum(self.bestsvo,axis=2)[f,:].reshape(self.nx,self.ny).T,extent=(l,r,b,t),linestyles='dotted')
if polar=='p':
ax.contour(np.sum(self.bestsvp,axis=2)[f,:].reshape(self.nx,self.ny).T,extent=(l,r,b,t),linestyles='dotted')
# display access points
if a==-1:
ax.scatter(self.pa[0,:],self.pa[1,:],s=30,c='r',linewidth=0)
else:
ax.scatter(self.pa[0,a],self.pa[1,a],s=30,c='r',linewidth=0)
plt.tight_layout()
return(fig,ax)
class Simul(PyLayers):
"""
Link oriented simulation
A simulation requires :
+ A Layout
+ A Person
+ A Trajectory
or a CorSer instance
Members
-------
dpersons : dictionnary of persons (agent)
dap : dictionnary of access points
Methods
-------
load_simul : load configuration file
load_Corser : load a Corser file
_gen_net : generate network and asociated links
show : show layout and network
evaldeter : run simulation over time
"""
def __init__(self, source='simulnet_TA-Office.h5', verbose=False):
""" object constructor
Parameters
----------
source : string
h5 trajectory file default simulnet_TA-Office.h5
verbose : boolean
Notes
-----
The simultraj has a dataframe
"""
# self.progress = -1 # simulation not loaded
self.verbose = verbose
self.cfield = []
self.dpersons = {}
self.dap = {}
self.Nag = 0
self.Nap = 0
# source analysis
if isinstance(source, str):
self.filetraj = source
self.load_simul(source)
self.source = 'simul'
elif 'pylayers' in source.__module__:
self.filetraj = source._filename
self.load_CorSer(source)
cutoff = 2
self.source = 'CorSer'
# generate the Network
# The wireless standard and frequency is fixed in this function
#
self._gen_net()
# initialize Stochastic Link
self.SL = SLink()
# initialize Deterministic Link
self.DL = DLink(L=self.L, verbose=self.verbose)
self.DL.cutoff = cutoff
self.filename = 'simultraj_' + self.filetraj + '.h5'
# data is a panda container which is initialized
#
# We do not save all the simulation in a DataFRame anymore
#
#self.data = pd.DataFrame(columns=['id_a', 'id_b',
# 'x_a', 'y_a', 'z_a',
# 'x_b', 'y_b', 'z_b',
# 'd', 'eng', 'typ',
# 'wstd', 'fcghz',
# 'fbminghz', 'fbmaxghz', 'fstep', 'aktk_id',
# 'sig_id', 'ray_id', 'Ct_id', 'H_id'
# ])
#self.data.index.name='t'
self._filecsv = self.filename.split('.')[0] + '.csv'
self.todo = {'OB': True, 'B2B': True, 'B2I': True, 'I2I': False}
filenameh5 = pyu.getlong(self.filename, pstruc['DIRLNK'])
if os.path.exists(filenameh5):
self.loadpd()
self.settime(0.)
# self._saveh5_init()
def __repr__(self):
s = 'Simul trajectories class\n'
s = s + '------------------------\n'
s = s + '\n'
s = s + 'Used layout: ' + self.L.filename + '\n'
s = s + 'Number of Agents: ' + str(self.Nag) + '\n'
s = s + 'Number of Access Points: ' + str(self.Nap) + '\n'
s = s + 'Link to be evaluated: ' + str(self.todo) + '\n'
s = s + 'tmin: ' + str(self._tmin) + '\n'
s = s + 'tmax: ' + str(self._tmax) + '\n'
s = s + '\n'
# network info
s = s + 'self.N :\n'
s = s + self.N.__repr__() + '\n'
s = s + 'CURRENT TIME: ' + str(self.ctime) + '\n'
return s
def load_simul(self, source):
""" load a simultraj configuration file
Parameters
----------
source : string
name of simulation file to be loaded
"""
self.filetraj = source
if not os.path.isfile(source):
raise AttributeError('Trajectory file' + source +
'has not been found.\
Please make sure you have run a simulnet simulation before runining simultraj.'
)
# get the trajectory
traj = tr.Trajectories()
traj.loadh5(self.filetraj)
# get the layout
self.L = Layout(traj.Lfilename)
# resample trajectory
for ut, t in enumerate(traj):
if t.typ == 'ag':
person = Body(t.name + '.ini')
tt = t.time()
self.dpersons.update({t.name: person})
self._tmin = tt[0]
self._tmax = tt[-1]
self.time = tt
else:
pos = np.array([t.x[0], t.y[0], t.z[0]])
self.dap.update({
t.ID: {
'pos': pos,
'ant': antenna.Antenna(),
'name': t.name
}
})
self.ctime = np.nan
self.Nag = len(self.dpersons.keys())
self.Nap = len(self.dap.keys())
self.traj = traj
def load_CorSer(self, source):
""" load CorSer file for simulation
Parameters
----------
source :
name of simulation file to be loaded
"""
if isinstance(source.B, Body):
B = [source.B]
elif isinstance(source.B, list):
B = source.B
elif isinstance(source.B, dict):
B = source.B.values()
else:
raise AttributeError('CorSer.B must be a list or a Body')
self.L = source.L
self.traj = tr.Trajectories()
self.traj.Lfilename = self.L._filename
for b in B:
self.dpersons.update({b.name: b})
self._tmin = b.time[0]
self._tmax = b.time[-1]
self.time = b.time
self.traj.append(b.traj)
for ap in source.din:
techno, ID = ap.split(':')
if techno == 'HKB':
techno = 'hikob'
if techno == 'TCR':
techno = 'tcr'
if techno == 'BS':
techno = 'bespoon'
self.dap.update({
ap: {
'pos': source.din[ap]['p'],
'ant': source.din[ap]['ant'],
'T': source.din[ap]['T'],
'name': techno
}
})
self.ctime = np.nan
self.Nag = len(B)
self.Nap = len(source.din)
self.corser = source
def _gen_net(self):
""" generate Network and associated links
Notes
-----
Create self.N : Network object
See Also
--------
pylayers.network.network
"""
#
# Create Network
#
N = Network()
#
# get devices on bodies
#
# forall person
# forall device
for p in self.dpersons:
D = []
for dev in self.dpersons[p].dev:
aDev = Device(self.dpersons[p].dev[dev]['name'], ID=dev)
D.append(aDev)
D[-1].ant['A1']['name'] = self.dpersons[p].dev[dev]['file']
D[-1].ant['antenna'] = self.dpersons[p].dev[dev]['ant']
N.add_devices(D, grp=p)
#
# get access point devices
#
for ap in self.dap:
D = Device(self.dap[ap]['name'], ID=ap)
D.ant['antenna'] = self.dap[ap]['ant']
N.add_devices(D, grp='ap', p=self.dap[ap]['pos'])
N.update_orient(ap, self.dap[ap]['T'], now=0.)
# create Network
#
# _get_wstd
# _get_grp
# _connect
# _init_PN
#
N.create()
self.N = N
def show(self):
""" show actual simlulation configuration
"""
fig, ax = self.L.showGs()
fig, ax = self.N.show(fig=fig, ax=ax)
return fig, ax
def evaldeter(self, na, nb, wstd, fmod='force', nf=10, fGHz=[], **kwargs):
""" deterministic evaluation of a link
Parameters
----------
na : string:
node a id in self.N (Network)
nb : string:
node b id in self.N (Network)
wstd : string:
wireless standard used for commmunication between na and nb
fmode : string ('center'|'band'|'force')
mode of frequency evaluation
center : single frequency (center frequency of a channel)
band : nf points on the whole band
force : takes directly fGHz
nf : int:
number of frequency points (if fmode = 'band')
**kwargs : argument of DLink
Returns
-------
(a, t )
a : ndarray
alpha_k
t : ndarray
tau_k
See Also
--------
pylayers.simul.link.DLink
"""
# todo in network :
# take into consideration the postion and rotation of antenna and not device
self.DL.Aa = self.N.node[na]['ant']['antenna']
self.DL.a = self.N.node[na]['p']
self.DL.Ta = self.N.node[na]['T']
self.DL.Ab = self.N.node[nb]['ant']['antenna']
self.DL.b = self.N.node[nb]['p']
self.DL.Tb = self.N.node[nb]['T']
#
# The frequency band is chosen from the selected standard
# if fmode == 'center'
# only center frequency is calculated
#
#'
if fmod == 'center':
self.DL.fGHz = self.N.node[na]['wstd'][wstd]['fcghz']
if fmod == 'band':
fminGHz = self.N.node[na]['wstd'][wstd]['fbminghz']
fmaxGHz = self.N.node[na]['wstd'][wstd]['fbmaxghz']
self.DL.fGHz = np.linspace(fminGHz, fmaxGHz, nf)
if fmod == 'force':
assert len(fGHz) > 0, "fGHz has not been defined"
self.DL.fGHz = fGHz
a, t = self.DL.eval(**kwargs)
return a, t
def evalstat(self, na, nb):
""" statistical evaluation of a link
Parameters
----------
na : string:
node a id in self.N (Netwrok)
nb : string:
node b id in self.N (Netwrok)
Returns
-------
(a, t, eng)
a : ndarray
alpha_k
t : ndarray
tau_k
eng : float
engagement
"""
pa = self.N.node[na]['p']
pb = self.N.node[nb]['p']
if self.source == 'simul':
dida, name = na.split('_')
didb, name = nb.split('_')
elif self.source == 'CorSer':
bpa, absolutedida, dida, name, technoa = self.corser.devmapper(na)
bpb, absolutedidb, didb, name, technob = self.corser.devmapper(nb)
ak, tk, eng = self.SL.onbody(self.dpersons[name], dida, didb, pa, pb)
return ak, tk, eng
def settime(self, t):
""" set current time
"""
self.ctime = t
self._traj = copy.copy(self.traj)
self.update_pos(t)
def run(self, **kwargs):
""" run the link evaluation along a trajectory
Parameters
----------
OB: boolean
perform on body statistical link evaluation
B2B: boolean
perform body to body deterministic link evaluation
B2I: boolean
perform body to infrastructure deterministic link evaluation
I2I: boolean
perform infrastructure to infrastructure deterministic link eval.
links: dict
dictionnary of link to be evaluated (key is wtsd and value is a list of links)
(if [], all link are considered)
wstd: list
list of wstd to be evaluated
(if [], all wstd are considered)
t: np.array
list of timestamp to be evaluated
(if [], all timestamps are considered)
tbr : boolean
time in bit reverse order (tmin,tmax,N) Npoints=2**N
replace_data: boolean (True)
if True , reference id of all already simulated link will be erased
and replace by new simulation id
fGHz : np.array
frequency in GHz
Examples
--------
>>> from pylayers.simul.simultraj import *
>>> from pylayers.measures.cormoran import *
>>> C=CorSer(layout=True)
>>> S=Simul(C,verbose=True)
>>> link={'ieee802154':[]}
>>> link['ieee802154'].append(S.N.links['ieee802154'][0])
>>> lt = [0,0.2,0.3,0.4,0.5]
>>> S.run(links=link,t=lt)
"""
defaults = {
'OB': True,
'B2B': True,
'B2I': True,
'I2I': False,
'links': {},
'wstd': [],
't': np.array([]),
'btr': True,
'DLkwargs': {},
'replace_data': True,
'fmod': 'force',
'fGHz': np.array([2.45])
}
for k in defaults:
if k not in kwargs:
kwargs[k] = defaults[k]
DLkwargs = kwargs.pop('DLkwargs')
links = kwargs.pop('links')
wstd = kwargs.pop('wstd')
OB = kwargs.pop('OB')
B2B = kwargs.pop('B2B')
B2I = kwargs.pop('B2I')
I2I = kwargs.pop('I2I')
fmod = kwargs.pop('fmod')
self.fGHz = kwargs.pop('fGHz')
self.todo.update({'OB': OB, 'B2B': B2B, 'B2I': B2I, 'I2I': I2I})
# Check link attribute
if links == {}:
links = self.N.links
elif not isinstance(links, dict):
raise AttributeError(
'links is {wstd:[list of links]}, see self.N.links')
for k in links.keys():
checkl = [l in self.N.links[k] for l in links[k]]
if len(np.where(checkl == False)[0]) > 0:
# if sum(checkl) != len(self.N.links):
uwrong = np.where(np.array(checkl) is False)[0]
raise AttributeError(
str(np.array(links)[uwrong]) +
' links does not exist in Network')
wstd = links.keys()
# # Check wstd attribute
# if wstd == []:
# wstd = self.N.wstd.keys()
# elif not isinstance(wstd, list):
# wstd = [wstd]
checkw = [w in self.N.wstd.keys() for w in wstd]
if sum(checkw) != len(wstd):
uwrong = np.where(np.array(checkw) is False)[0]
raise AttributeError(
str(np.array(wstd)[uwrong]) + ' wstd are not in Network')
# force time attribute compliant
if not isinstance(kwargs['t'], np.ndarray):
if isinstance(kwargs['t'], list):
lt = np.array(kwargs['t'])
elif (isinstance(kwargs['t'], int)
or isinstance(kwargs['t'], float)):
lt = np.array([kwargs['t']])
else:
lt = kwargs['t']
#if len(lt) == 0:
# lt = self.time
# check time attribute
if kwargs['btr']:
if (lt[0] < self._tmin) or\
(lt[1] > self._tmax) :
raise AttributeError('Requested time range not available')
# self._traj is a copy of self.traj, which is affected by resampling.
# it is only a temporary attribute for a given run
# if len(lt) > 1:
# sf = 1/(1.*lt[1]-lt[0])
# self._traj = self.traj.resample(sf=sf, tstart=lt[0])
# else:
# self._traj = self.traj.resample(sf=1.0, tstart=lt[0])
# self._traj.time()
# self.time = self._traj.t
# self._time = pd.to_datetime(self.time,unit='s')
#
# Nested Loops
#
# time
# standard
# links
# evaldeter &| evalstat
#
#lt = self.get_sim_time(lt)
#self._time=self.get_sim_time(lt)
init = True
if kwargs['btr']:
tmin = lt[0]
tmax = lt[1]
Nt = int(2**lt[2])
ta = np.linspace(tmin, tmax, Nt)
it = np.hstack((np.r_[0], np.r_[pyu.bitreverse(Nt, int(lt[2]))]))
#trev = t[it]
else:
ta = kwargs['t']
it = range(len(ta))
## Start to loop over time
## ut : counter
## t : time value (s)
#for ut, t in enumerate(lt):
for ks, ut in enumerate(it):
t = ta[ut]
self.ctime = t
# update spatial configuration of the scene for time t
self.update_pos(t)
# print self.N.__repr__()
## Start to loop over available Wireless standard
##
for w in wstd:
## Start to loop over the chosen links stored in links
##
for na, nb, typ in links[w]:
# If type of link is valid (Body 2 Body,...)
#
if self.todo[typ]:
if self.verbose:
print '-' * 30
print 'time:', t, '/', lt[-1], ' time idx:', ut,
'/', len(ta), '/', ks
print 'processing: ', na, ' <-> ', nb, 'wstd: ', w
print '-' * 30
eng = 0
#
# Invoque link deterministic simulation
#
# node : na
# node : nb
# wstd : w
#
self.evaldeter(na,
nb,
w,
applywav=False,
fmod=fmod,
fGHz=self.fGHz,
**DLkwargs)
# if typ == 'OB':
# self.evalstat(na, nb)
# eng = self.SL.eng
# L = self.DL + self.SL
# self._ak = L.H.ak
# self._tk = L.H.tk
# else :
# Get alphak an tauk
self._ak = self.DL.H.ak
self._tk = self.DL.H.tk
aktk_id = str(ut) + '_' + na + '_' + nb + '_' + w
# this is a dangerous way to proceed !
# the id as a finite number of characters
while len(aktk_id) < 40:
aktk_id = aktk_id + ' '
df = pd.DataFrame(
{
'id_a': na,
'id_b': nb,
'x_a': self.N.node[na]['p'][0],
'y_a': self.N.node[na]['p'][1],
'z_a': self.N.node[na]['p'][2],
'x_b': self.N.node[nb]['p'][0],
'y_b': self.N.node[nb]['p'][1],
'z_b': self.N.node[nb]['p'][2],
'd': self.N.edge[na][nb]['d'],
'eng': eng,
'typ': typ,
'wstd': w,
'fcghz': self.N.node[na]['wstd'][w]['fcghz'],
'fbminghz': self.fGHz[0],
'fbmaxghz': self.fGHz[-1],
'nf': len(self.fGHz),
'aktk_id': aktk_id,
'sig_id': self.DL.dexist['sig']['grpname'],
'ray_id': self.DL.dexist['ray']['grpname'],
'Ct_id': self.DL.dexist['Ct']['grpname'],
'H_id': self.DL.dexist['H']['grpname'],
},
columns=[
'id_a', 'id_b', 'x_a', 'y_a', 'z_a', 'x_b',
'y_b', 'z_b', 'd', 'eng', 'typ', 'wstd',
'fcghz', 'fbminghz', 'fbmaxghz', 'fstep',
'aktk_id', 'sig_id', 'ray_id', 'Ct_id', 'H_id'
],
index=[t]) #self._time[ut]])
self.savepd(df)
def replace_data(self, df):
"""check if a dataframe df already exists in self.data
Parameters
----------
df : pd.DataFrame
Returns
-------
boolean
True if already exists
False otherwise
"""
self.data[(self.data.index == df.index)
& (self.data['id_a'] == df['id_a'].values[0]) &
(self.data['id_b'] == df['id_b'].values[0]) &
(self.data['wstd'] == df['wstd'].values[0])] = df.values
def check_exist(self, df):
"""check if a dataframe df already exists in self.data
Parameters
----------
df : pd.DataFrame
Returns
-------
boolean
True if already exists
False otherwise
"""
# check init case
if not len(self.data.index) == 0:
ud = self.data[(self.data.index == df.index)
& (self.data['id_a'] == df['id_a'].values[0]) &
(self.data['id_b'] == df['id_b'].values[0]) &
(self.data['wstd'] == df['wstd'].values[0])]
if len(ud) == 0:
return False
else:
return True
else:
return False
def savepd(self, df):
""" save data information of a simulation
Parameters
----------
df : one index data
Notes
-----
"""
filenameh5 = pyu.getlong(self.filename, pstruc['DIRLNK'])
store = pd.HDFStore(filenameh5)
#self.data=self.data.sort()
store.append('df', df)
store.close()
def loadpd(self):
""" load data from previous simulations
"""
filenameh5 = pyu.getlong(self.filename, pstruc['DIRLNK'])
store = pd.HDFStore(filenameh5)
#self.data = pd.read_hdf(filenameh5,'df')
self.data = store.get('df')
self.data.index.name = 't'
self.data = self.data.sort()
def get_sim_time(self, t):
""" retrieve closest time value in regard of passed t value in parameter
"""
if not isinstance(t, list) and not isinstance(t, np.ndarray):
return np.array([self.time[np.where(self.time <= t)[0][-1]]])
else:
return np.array([self.get_sim_time(tt) for tt in t])[:, 0]
def get_df_from_link(self, id_a, id_b, wstd=''):
""" Return a restricted data frame for a specific link
Parameters
----------
id_a : str
node id a
id_b: str
node id b
wstd: str
optionnal :wireslees standard
"""
if wstd == '':
return self.data[(self.data['id_a'] == id_a)
& (self.data['id_b'] == id_b)]
else:
return self.data[(self.data['id_a'] == id_a)
& (self.data['id_b'] == id_b)
& self.data['wstd'] == wstd]
def update_pos(self, t):
""" update positions of devices and bodies for a given time index
Parameters
----------
t : int
time value
"""
# if a bodies are involved in simulation
if ((self.todo['OB']) or (self.todo['B2B']) or (self.todo['B2I'])):
nodeid = []
pos = []
devlist = []
orient = []
for up, person in enumerate(self.dpersons.values()):
person.settopos(self._traj[up], t=t, cs=True)
name = person.name
dev = person.dev.keys()
devlist.extend(dev)
#nodeid.extend([n + '_' + name for n in dev])
pos.extend([person.dcs[d][:, 0] for d in dev])
orient.extend([person.acs[d] for d in dev])
# TODO !!!!!!!!!!!!!!!!!!!!
# in a future version , the network update must also update
# antenna position in the device coordinate system
self.N.update_pos(devlist, pos, now=t)
self.N.update_orient(devlist, orient, now=t)
self.N.update_dis()
def get_value(self, **kwargs):
""" retrieve output parameter at a specific time
Parameters
----------
typ : list
list of parameters to be retrieved
(R | C |H | ak | tk | rss )
links: list
dictionnary of link to be evaluated (key is wtsd and value is a list of links)
(if [], all link are considered)
t: int or np.array
list of timestamp to be evaluated | singlr time instant
Returns
-------
output: dict
[link_key]['t']
['ak']
...
"""
# get time
defaults = {
't': 0,
'typ': ['ak'],
'links': {},
'wstd': [],
'angles': False
}
for k in defaults:
if k not in kwargs:
kwargs[k] = defaults[k]
# allocate an empty dictionnary for wanted selected output
output = {}
# manage time t can be a list or a float
t = kwargs['t']
t = self.get_sim_time(t)
dt = self.time[1] - self.time[0]
# manage links
plinks = kwargs['links']
links = []
if isinstance(plinks, dict):
for l in plinks.keys():
links.extend(plinks[l])
if len(links) == 0:
raise AttributeError('Please give valid links to get values')
# output['t']=[]
# output['time_to_simul']=[]
# for each requested time step
for tt in t:
# for each requested links
for link in links:
linkname = link[0] + '-' + link[1]
if not output.has_key(linkname):
output[linkname] = {}
if not output[linkname].has_key('t'):
output[linkname]['t'] = []
# restrict global dataframe self.data to the specific link
df = self.get_df_from_link(link[0], link[1])
# restrict global dataframe self.data to the specific z
df = df[(df.index > tt - dt) & (df.index <= tt + dt)]
if len(df) != 0:
output[linkname]['t'].append(tt)
if len(df) > 1:
print 'Warning possible issue in self.get_value'
line = df.iloc[-1]
# # get info of the corresponding timestamp
# line = df[(df['id_a'] == link[0]) & (df['id_b'] == link[1])].iloc[-1]
# if len(line) == 0:
# line = df[(df['id_b'] == link[0]) & (df['id_a'] == link[1])]
# if len(line) == 0:
# raise AttributeError('invalid link')
#retrieve correct position and orientation given the time
#self.update_pos(t=tt)
# antennas positions
#self.DL.a = self.N.node[link[0]]['p']
#self.DL.b = self.N.node[link[1]]['p']
# antennas orientation
#self.DL.Ta = self.N.node[link[0]]['T']
#self.DL.Tb = self.N.node[link[1]]['T']
# antennas object
#self.DL.Aa = self.N.node[link[0]]['ant']['antenna']
#self.DL.Ab = self.N.node[link[1]]['ant']['antenna']
# get the antenna index
#uAa_opt, uAa = self.DL.get_idx('A_map',self.DL.Aa._filename)
#uAb_opt, uAb = self.DL.get_idx('A_map',self.DL.Ab._filename)
if 'ak' in kwargs['typ'] or 'tk' in kwargs[
'typ'] or 'rss' in kwargs['typ']:
H_id = line['H_id'].decode('utf8')
# load the proper link
# parse index
lid = H_id.split('_')
#if (lid[5]==str(uAa))&(lid[6]==str(uAb)):
self.DL.load(self.DL.H, H_id)
if 'ak' in kwargs['typ']:
if not output[linkname].has_key('ak'):
output[linkname]['ak'] = []
output[linkname]['ak'].append(
copy.deepcopy(self.DL.H.ak))
if 'tk' in kwargs['typ']:
if not output[linkname].has_key('tk'):
output[linkname]['tk'] = []
output[linkname]['tk'].append(
copy.deepcopy(self.DL.H.tk))
if 'rss' in kwargs['typ']:
if not output[linkname].has_key('rss'):
output[linkname]['rss'] = []
output[linkname]['rss'].append(
copy.deepcopy(self.DL.H.rssi()))
if 'R' in kwargs['typ']:
if not output[linkname].has_key('R'):
output[linkname]['R'] = []
ray_id = line['ray_id']
self.DL.load(self.DL.R, ray_id)
output[linkname]['R'].append(copy.deepcopy(self.DL.R))
if 'C' in kwargs['typ']:
if not output[linkname].has_key('C'):
output[linkname]['C'] = []
Ct_id = line['Ct_id']
self.DL.load(self.DL.C, Ct_id)
if kwargs['angles']:
self.DL.C.islocal = False
self.DL.C.locbas(Tt=self.DL.Ta, Tr=self.DL.Tb)
#T channel
output[linkname]['C'].append(copy.deepcopy(self.DL.C))
if 'H' in kwargs['typ']:
if not output[linkname].has_key('H'):
output[linkname]['H'] = []
H_id = line['H_id']
lid = H_id.split('_')
#if (lid[5]==str(uAa))&(lid[6]==str(uAb)):
self.DL.load(self.DL.H, H_id)
output[linkname]['H'].append(copy.deepcopy(self.DL.H))
# if time value not found in dataframe
else:
if not output[linkname].has_key('time_to_simul'):
output[linkname]['time_to_simul'] = []
output[linkname]['time_to_simul'].append(tt)
for l in output.keys():
if output[l].has_key('time_to_simul'):
print 'link', l, 'require simulation for timestamps', output[
l]['time_to_simul']
return (output)
def get_link(self, **kwargs):
""" retrieve a Link specific time from a simultraj
Parameters
----------
typ : list
list of parameters to be retrieved
(ak | tk | R |C)
links: list
dictionnary of link to be evaluated (key is wtsd and value is a list of links)
(if [], all link are considered)
t: int or np.array
list of timestamp to be evaluated | singlr time instant
Returns
-------
DL : DLink
Examples
--------
>>> from pylayers.simul.simultraj import *
>>> from pylayers.measures.cormoran import *
>>> C=CorSer(serie=6,day=11,layout=True)
>>> S = Simul(C,verbose=False)
>>> DL = S.get_link(typ=['R','C','H'])
"""
# get time
defaults = {
't': 0,
'typ': ['ak'],
'links': {},
'wstd': [],
'angles': False
}
for k in defaults:
if k not in kwargs:
kwargs[k] = defaults[k]
output = {}
# manage time
t = kwargs['t']
t = self.get_sim_time(t)
dt = self.time[1] - self.time[0]
# manage links
plinks = kwargs['links']
links = []
if isinstance(plinks, dict):
for l in plinks.keys():
links.extend(plinks[l])
if len(links) == 0:
raise AttributeError('Please give valid links to get values')
# output['t']=[]
# output['time_to_simul']=[]
# for each requested time step
for tt in t:
# for each requested links
for link in links:
linkname = link[0] + '-' + link[1]
if not output.has_key(linkname):
output[linkname] = {}
if not output[linkname].has_key('t'):
output[linkname]['t'] = []
# restrict global dataframe self.data to the specific link
df = self.get_df_from_link(link[0], link[1])
# restrict global dataframe self.data to the specific z
df = df[(df.index > tt - dt) & (df.index <= tt + dt)]
if len(df) != 0:
output[linkname]['t'].append(tt)
if len(df) > 1:
print 'Warning possible issue in self.get_link'
line = df.iloc[-1]
# # get info of the corresponding timestamp
# line = df[(df['id_a'] == link[0]) & (df['id_b'] == link[1])].iloc[-1]
# if len(line) == 0:
# line = df[(df['id_b'] == link[0]) & (df['id_a'] == link[1])]
# if len(line) == 0:
# raise AttributeError('invalid link')
#retrieve correct position and orientation given the time
self.update_pos(t=tt)
self.DL.a = self.N.node[link[0]]['p']
self.DL.b = self.N.node[link[1]]['p']
self.DL.Ta = self.N.node[link[0]]['T']
self.DL.Tb = self.N.node[link[1]]['T']
#self.DL.Aa = self.N.node[link[0]]['ant']['antenna']
#self.DL.Ab = self.N.node[link[1]]['ant']['antenna']
#H_id = line['H_id'].decode('utf8')
#self.DL.load(self.DL.H,H_id)
if 'R' in kwargs['typ']:
ray_id = line['ray_id']
self.DL.load(self.DL.R, ray_id)
if 'C' in kwargs['typ']:
Ct_id = line['Ct_id']
self.DL.load(self.DL.C, Ct_id)
if kwargs['angles']:
self.DL.C.islocal = False
self.DL.C.locbas(Tt=self.DL.Ta, Tr=self.DL.Tb)
if 'H' in kwargs['typ']:
H_id = line['H_id']
self.DL.load(self.DL.H, H_id)
return (self.DL)
def _show3(self, **kwargs):
""" 3D show using Mayavi
Parameters
----------
t: float
time index
link: list
[id_a, id_b]
id_a : node id a
id_b : node id b
'lay': bool
show layout
'net': bool
show net
'body': bool
show bodies
'rays': bool
show rays
"""
defaults = {
't': 0,
'link': [],
'wstd': [],
'lay': True,
'net': True,
'body': True,
'rays': True,
'ant': False
}
for k in defaults:
if k not in kwargs:
kwargs[k] = defaults[k]
link = kwargs['link']
self.update_pos(kwargs['t'])
if len(self.data) != 0:
df = self.data[self.data.index == pd.to_datetime(kwargs['t'])]
if len(df) != 0:
raise AttributeError('invalid time')
# default
if link == []:
line = df[df.index <= pd.to_datetime(0)]
link = [line['id_a'].values[0], line['id_b'].values[0]]
else:
# get info of the corresponding timestamp
line = df[(df['id_a'] == link[0]) & (df['id_b'] == link[1])]
if len(line) == 0:
line = df[(df['id_b'] == link[0]) & (df['id_a'] == link[1])]
if len(line) == 0:
raise AttributeError('invalid link')
rayid = line['ray_id'].values[0]
self.DL.a = self.N.node[link[0]]['p']
self.DL.b = self.N.node[link[1]]['p']
self.DL.Ta = self.N.node[link[0]]['T']
self.DL.Tb = self.N.node[link[1]]['T']
self.DL.load(self.DL.R, rayid)
self.DL._show3(newfig=False,
lay=kwargs['lay'],
rays=kwargs['rays'],
ant=False)
else:
self.DL._show3(newfig=False, lay=True, rays=False, ant=False)
if kwargs['net']:
self.N._show3(newfig=False)
if kwargs['body']:
for p in self.dpersons:
self.dpersons[p]._show3(newfig=False,
topos=True,
pattern=kwargs['ant'])
# def _saveh5_init(self):
# """ initialization of the h5py file
# """
# filenameh5 = pyu.getlong(self.filename, pstruc['DIRLNK'])
# import ipdb
# try:
# f5 = h5py.File(filenameh5, 'w')
# f5.create_dataset('time', shape=self.time.shape, data=self.time)
# f5.close()
# except:
# f5.close()
# raise NameError('simultra.saveinit: \
# issue when writting h5py file')
def _saveh5(self, ut, ida, idb, wstd):
""" Save in h5py format
Parameters
----------
ut : int
time index in self.time
ida : string
node a index
idb : string
node b index
wstd : string
wireless standard of used link
Notes
-----
Dataset organisation:
simultraj_<trajectory_filename.h5>.h5
|
|time
| ...
|
|/<tidx_ida_idb_wstd>/ |attrs
| |a_k
| |t_k
Root dataset :
time : array
range of simulation time
Group identifier :
tidx : index in time dataset
ida : node a index in Network
idb : node b index in Network
wstd : wireless standar of link interest
Inside group:
a_k : alpha_k values
t_k : tau_k values
See Also
--------
pylayers.simul.links
"""
filenameh5 = pyu.getlong(self.filename, pstruc['DIRLNK'])
grpname = str(ut) + '_' + ida + '_' + idb + '_' + wstd
# try/except to avoid loosing the h5 file if
# read/write error
try:
fh5 = h5py.File(filenameh5, 'a')
if not grpname in fh5.keys():
fh5.create_group(grpname)
f = fh5[grpname]
# for k in kwargs:
# f.attrs[k] = kwargs[k]
f.create_dataset('alphak',
shape=self._ak.shape,
maxshape=(None),
data=self._ak)
f.create_dataset('tauk',
shape=self._tk.shape,
maxshape=(None),
data=self._tk)
else:
pass #print grpname + ' already exists in ' + filenameh5
fh5.close()
except:
fh5.close()
raise NameError('Simultraj._saveh5: issue when writting h5py file')
def _loadh5(self, grpname):
""" Load in h5py format
Parameters
----------
grpname : string
group name which can be found sin self.data aktk_idx column
Returns
-------
(ak, tk, conf)
ak : ndarray:
alpha_k
tk : ndarray:
alpha_k
"""
filenameh5 = pyu.getlong(self.filename, pstruc['DIRLNK'])
# try/except to avoid loosing the h5 file if
# read/write error
try:
fh5 = h5py.File(filenameh5, 'r')
if not grpname in fh5.keys():
fh5.close()
raise NameError(grpname + ' cannot be reached in ' +
self.filename)
f = fh5[grpname]
# for k in f.attrs.keys():
# conf[k]=f.attrs[k]
ak = f['alphak'][:]
tk = f['tauk'][:]
fh5.close()
return ak, tk
except:
fh5.close()
raise NameError('Simultraj._loadh5: issue when reading h5py file')
def tocsv(self, ut, ida, idb, wstd, init=False):
filecsv = pyu.getlong(self._filecsv, pstruc['DIRLNK'])
with open(filecsv, 'a') as csvfile:
fil = csv.writer(csvfile, delimiter=';', quoting=csv.QUOTE_MINIMAL)
if init:
keys = self.data.iloc[-1].keys()
data = [k for k in keys]
data.append('ak')
data.append('tk')
fil.writerow(data)
values = self.data.iloc[-1].values
data = [v for v in values]
sak = str(self._ak.tolist())
stk = str(self._tk.tolist())
data.append(sak)
data.append(stk)
fil.writerow(data)
class Coverage(PyLayers):
""" Handle Layout Coverage
Methods
-------
creategrid()
create a uniform grid for evaluating losses
cover()
run the coverage calculation
showPower()
display the map of received power
showLoss()
display the map of losses
Attributes
----------
All attributes are read from fileini ino the ini directory of the
current project
_fileini
default coverage.ini
L : a Layout
nx : number of point on x
ny : number of point on y
tx : transmitter position
txpe : transmitter power emmission level
show : boolean for automatic display power map
na : number of access point
"""
def __init__(self,_fileini='coverage.ini'):
""" object constructor
Parameters
----------
_fileini : string
name of the configuration file
Notes
-----
Coverage is described in an ini file.
Default file is coverage.ini and is placed in the ini directory of the current project.
"""
self.config = ConfigParser.ConfigParser()
self.config.read(pyu.getlong(_fileini,pstruc['DIRSIMUL']))
self.layoutopt = dict(self.config.items('layout'))
self.gridopt = dict(self.config.items('grid'))
self.apopt = dict(self.config.items('ap'))
self.rxopt = dict(self.config.items('rx'))
self.showopt = dict(self.config.items('show'))
# get the Layout
self.L = Layout(self.layoutopt['filename'])
# get the receiving grid
self.nx = eval(self.gridopt['nx'])
self.ny = eval(self.gridopt['ny'])
self.ng = self.nx*self.ny
self.mode = eval(self.gridopt['full'])
self.boundary = eval(self.gridopt['boundary'])
# create grid
# we could here construct a grid locally around the access point
# to be done later for code acceleration
#
self.creategrid(full=self.mode,boundary=self.boundary)
self.dap = {}
for k in self.apopt:
kwargs = eval(self.apopt[k])
ap = std.AP(**kwargs)
self.dap[eval(k)] = ap
try:
self.aap = np.vstack((self.aap,ap['p'][0:2]))
self.ptdbm = np.vstack((self.ptdbm,ap['PtdBm']))
except:
self.aap = ap['p'][0:2]
self.ptdbm = ap['PtdBm']
# 1 x na
self.ptdbm = self.ptdbm.T
# number of access points
self.na = len(self.dap)
# creating all links
p = product(range(self.ng),range(self.na))
#
# a : access point
# g : grid
#
for k in p:
pg = self.grid[k[0],:]
pa = self.aap[k[1]]
try:
self.pa = np.vstack((self.pa,pa))
except:
self.pa = pa
try:
self.pg = np.vstack((self.pg,pg))
except:
self.pg = pg
self.pa = self.pa.T
self.pg = self.pg.T
# frequency is chosen as all the center frequencies of the standard
# warning assuming the same standard
self.fGHz = self.dap[0].s.fcghz
self.nf = len(self.fGHz)
# AP section
#self.fGHz = eval(self.txopt['fghz'])
#self.tx = np.array((eval(self.txopt['x']),eval(self.txopt['y'])))
#self.ptdbm = eval(self.txopt['ptdbm'])
#self.framelengthbytes = eval(self.txopt['framelengthbytes'])
# receiver section
self.rxsens = eval(self.rxopt['sensitivity'])
kBoltzmann = 1.3806503e-23
self.temperaturek = eval(self.rxopt['temperaturek'])
self.noisefactordb = eval(self.rxopt['noisefactordb'])
# list of access points
lap = self.dap.keys()
# list of channels
lchan = map(lambda x: self.dap[x]['chan'],lap)
apchan = zip(self.dap.keys(),lchan)
self.bmhz = np.array(map(lambda x: self.dap[x[0]].s.chan[x[1][0]]['BMHz']*len(x[1]),apchan))
# Evaluate Noise Power (in dBm)
Pn = (10**(self.noisefactordb/10.)+1)*kBoltzmann*self.temperaturek*self.bmhz*1e3
self.pndbm = 10*np.log10(Pn)+60
# show section
self.bshow = str2bool(self.showopt['show'])
try:
self.L.Gt.nodes()
except:
pass
try:
self.L.dumpr()
except:
self.L.build()
self.L.dumpw()
def __repr__(self):
st=''
st = st+ 'Layout file : '+self.L.filename + '\n\n'
st = st + '-----list of Access Points ------'+'\n'
for k in self.dap:
st = st + self.dap[k].__repr__()+'\n'
st = st + '-----Rx------'+'\n'
st= st+ 'rxsens (dBm) : '+ str(self.rxsens) + '\n'
st= st+ 'bandwith (Mhz) : '+ str(self.bmhz) + '\n'
st= st+ 'temperature (K) : '+ str(self.temperaturek) + '\n'
st= st+ 'noisefactor (dB) : '+ str(self.noisefactordb) + '\n\n'
st = st + '--- Grid ----'+'\n'
st= st+ 'nx : ' + str(self.nx) + '\n'
st= st+ 'ny : ' + str(self.ny) + '\n'
st= st+ 'nlink : ' + str(self.ng*self.na) + '\n'
st= st+ 'full grid : ' + str(self.mode) + '\n'
st= st+ 'boundary (xmin,ymin,xmax,ymax) : ' + str(self.boundary) + '\n\n'
return(st)
def creategrid(self,full=True,boundary=[]):
""" create a grid
Parameters
----------
full : boolean
default (True) use all the layout area
boundary : (xmin,ymin,xmax,ymax)
if full is False the boundary argument is used
"""
if full:
mi=np.min(self.L.Gs.pos.values(),axis=0)+0.01
ma=np.max(self.L.Gs.pos.values(),axis=0)-0.01
else:
assert boundary<>[]
mi = np.array([boundary[0],boundary[1]])
ma = np.array([boundary[2],boundary[3]])
x = np.linspace(mi[0],ma[0],self.nx)
y = np.linspace(mi[1],ma[1],self.ny)
self.grid=np.array((list(np.broadcast(*np.ix_(x, y)))))
# def coverold(self):
# """ run the coverage calculation (Deprecated)
#
# Parameters
# ----------
#
# lay_bound : bool
# If True, the coverage is performed only inside the Layout
# and clip the values of the grid chosen in coverage.ini
#
# Examples
# --------
#
# .. plot::
# :include-source:
#
# >> from pylayers.antprop.coverage import *
# >> C = Coverage()
# >> C.cover()
# >> C.showPower()
#
# Notes
# -----
#
# self.fGHz is an array it means that coverage is calculated at once
# for a whole set of frequencies. In practice the center frequency of a
# given standard channel.
#
# This function is calling `Losst` which calculates Losses along a
# straight path. In a future implementation we will
# abstract the EM solver in order to make use of other calculation
# approaches as full or partial Ray Tracing.
#
# The following members variables are evaluated :
#
# + freespace Loss @ fGHz PL() PathLoss (shoud be rename FS as free space) $
# + prdbmo : Received power in dBm .. math:`P_{rdBm} =P_{tdBm} - L_{odB}`
# + prdbmp : Received power in dBm .. math:`P_{rdBm} =P_{tdBm} - L_{pdB}`
# + snro : SNR polar o (H)
# + snrp : SNR polar p (H)
#
# See Also
# --------
#
# pylayers.antprop.loss.Losst
# pylayers.antprop.loss.PL
#
# """
#
# self.Lwo,self.Lwp,self.Edo,self.Edp = loss.Losst(self.L,self.fGHz,self.grid.T,self.tx)
# self.freespace = loss.PL(self.fGHz,self.grid,self.tx)
#
# self.prdbmo = self.ptdbm - self.freespace - self.Lwo
# self.prdbmp = self.ptdbm - self.freespace - self.Lwp
# self.snro = self.prdbmo - self.pndbm
# self.snrp = self.prdbmp - self.pndbm
def cover(self,polar='o',sinr=True,snr=True,best=True):
""" run the coverage calculation
Parameters
----------
polar : string
'o' | 'p'
sinr : boolean
snr : boolean
best : boolean
Examples
--------
.. plot::
:include-source:
>>> from pylayers.antprop.coverage import *
>>> C = Coverage()
>>> C.cover()
>>> f,a=C.show(typ='sinr')
>>> plt.show()
Notes
-----
self.fGHz is an array it means that coverage is calculated at once
for a whole set of frequencies. In practice the center frequency of a
given standard channel.
This function is calling `Losst` which calculates Losses along a
straight path. In a future implementation we will
abstract the EM solver in order to make use of other calculation
approaches as full or partial Ray Tracing.
The following members variables are evaluated :
+ freespace Loss @ fGHz PL() PathLoss (shoud be rename FS as free space) $
+ prdbmo : Received power in dBm .. math:`P_{rdBm} =P_{tdBm} - L_{odB}`
+ prdbmp : Received power in dBm .. math:`P_{rdBm} =P_{tdBm} - L_{pdB}`
+ snro : SNR polar o (H)
+ snrp : SNR polar p (H)
See Also
--------
pylayers.antprop.loss.Losst
pylayers.antprop.loss.PL
"""
# retrieving dimensions along the 3 axis
na = self.na
ng = self.ng
nf = self.nf
Lwo,Lwp,Edo,Edp = loss.Losst(self.L,self.fGHz,self.pa,self.pg,dB=False)
if polar=='o':
self.polar='o'
self.Lw = Lwo.reshape(nf,ng,na)
self.Ed = Edo.reshape(nf,ng,na)
if polar=='p':
self.polar='p'
self.Lw = Lwp.reshape(nf,ng,na)
self.Ed = Edp.reshape(nf,ng,na)
freespace = loss.PL(self.fGHz,self.pa,self.pg,dB=False)
self.freespace = freespace.reshape(nf,ng,na)
# Warning we are assuming here all transmitters have the same
# transmitting power (to be modified)
# f x g x a
# CmW : Received Power coverage in mW
self.CmW = 10**(self.ptdbm[np.newaxis,...]/10.)*self.Lw*self.freespace
if snr:
self.snr()
if sinr:
self.sinr()
if best:
self.best()
def snr(self):
""" calculate snr
"""
NmW = 10**(self.pndbm/10.)[np.newaxis,np.newaxis,:]
self.snr = self.CmW/NmW
def sinr(self):
""" calculate sinr
"""
na = self.na
U = (np.ones((na,na))-np.eye(na))[np.newaxis,np.newaxis,:,:]
ImW = np.einsum('ijkl,ijl->ijk',U,self.CmW)
NmW = 10**(self.pndbm/10.)[np.newaxis,np.newaxis,:]
self.sinr = self.CmW/(ImW+NmW)
def best(self):
""" determine best server map
Notes
-----
C.bestsv
"""
na = self.na
ng = self.ng
nf = self.nf
# find best server regions
V = self.CmW
self.bestsv = np.zeros(nf*ng*na).reshape(nf,ng,na)
for kf in range(nf):
MaxV = np.max(V[kf,:,:],axis=1)
for ka in range(na):
u = np.where(V[kf,:,ka]==MaxV)
self.bestsv[kf,u,ka]=ka+1
# def showEd(self,polar='o',**kwargs):
# """ shows a map of direct path excess delay
#
# Parameters
# ----------
#
# polar : string
# 'o' | 'p'
#
# Examples
# --------
#
# .. plot::
# :include-source:
#
# >> from pylayers.antprop.coverage import *
# >> C = Coverage()
# >> C.cover()
# >> C.showEd(polar='o')
#
# """
#
# if not kwargs.has_key('alphacy'):
# kwargs['alphacy']=0.0
# if not kwargs.has_key('colorcy'):
# kwargs['colorcy']='w'
# if not kwargs.has_key('nodes'):
# kwargs['nodes']=False
#
# fig,ax = self.L.showG('s',**kwargs)
# l = self.grid[0,0]
# r = self.grid[-1,0]
# b = self.grid[0,1]
# t = self.grid[-1,-1]
#
# cdict = {
# 'red' : ((0., 0.5, 0.5), (1., 1., 1.)),
# 'green': ((0., 0.5, 0.5), (1., 1., 1.)),
# 'blue' : ((0., 0.5, 0.5), (1., 1., 1.))
# }
# #generate the colormap with 1024 interpolated values
# my_cmap = m.colors.LinearSegmentedColormap('my_colormap', cdict, 1024)
#
# if polar=='o':
# prdbm=self.prdbmo
# if polar=='p':
# prdbm=self.prdbmp
#
#
#
# if polar=='o':
# mcEdof = np.ma.masked_where(prdbm < self.rxsens,self.Edo)
#
# cov=ax.imshow(mcEdof.reshape((self.nx,self.ny)).T,
# extent=(l,r,b,t),cmap = 'jet',
# origin='lower')
#
#
#
# # cov=ax.imshow(self.Edo.reshape((self.nx,self.ny)).T,
# # extent=(l,r,b,t),
# # origin='lower')
# titre = "Map of LOS excess delay, polar orthogonal"
#
# if polar=='p':
# mcEdpf = np.ma.masked_where(prdbm < self.rxsens,self.Edp)
#
# cov=ax.imshow(mcEdpf.reshape((self.nx,self.ny)).T,
# extent=(l,r,b,t),cmap = 'jet',
# origin='lower')
#
# # cov=ax.imshow(self.Edp.reshape((self.nx,self.ny)).T,
# # extent=(l,r,b,t),
# # origin='lower')
# titre = "Map of LOS excess delay, polar parallel"
#
# ax.scatter(self.tx[0],self.tx[1],linewidth=0)
# ax.set_title(titre)
#
# divider = make_axes_locatable(ax)
# cax = divider.append_axes("right", size="5%", pad=0.05)
# clb = fig.colorbar(cov,cax)
# clb.set_label('excess delay (ns)')
#
# if self.show:
# plt.show()
# return fig,ax
#
# def showPower(self,rxsens=True,nfl=True,polar='o',**kwargs):
# """ show the map of received power
#
# Parameters
# ----------
#
# rxsens : bool
# clip the map with rx sensitivity set in self.rxsens
# nfl : bool
# clip the map with noise floor set in self.pndbm
# polar : string
# 'o'|'p'
#
# Examples
# --------
#
# .. plot::
# :include-source:
#
# > from pylayers.antprop.coverage import *
# > C = Coverage()
# > C.cover()
# > C.showPower()
#
# """
#
# if not kwargs.has_key('alphacy'):
# kwargs['alphacy']=0.0
# if not kwargs.has_key('colorcy'):
# kwargs['colorcy']='w'
# if not kwargs.has_key('nodes'):
# kwargs['nodes']=False
# fig,ax = self.L.showG('s',**kwargs)
#
# l = self.grid[0,0]
# r = self.grid[-1,0]
# b = self.grid[0,1]
# t = self.grid[-1,-1]
#
# if polar=='o':
# prdbm=self.prdbmo
# if polar=='p':
# prdbm=self.prdbmp
#
## tCM = plt.cm.get_cmap('jet')
## tCM._init()
## alphas = np.abs(np.linspace(.0,1.0, tCM.N))
## tCM._lut[:-3,-1] = alphas
#
# title='Map of received power - Pt = ' + str(self.ptdbm) + ' dBm'+str(' fGHz =') + str(self.fGHz) + ' polar = '+polar
#
# cdict = {
# 'red' : ((0., 0.5, 0.5), (1., 1., 1.)),
# 'green': ((0., 0.5, 0.5), (1., 1., 1.)),
# 'blue' : ((0., 0.5, 0.5), (1., 1., 1.))
# }
#
# if not kwargs.has_key('cmap'):
# # generate the colormap with 1024 interpolated values
# cmap = m.colors.LinearSegmentedColormap('my_colormap', cdict, 1024)
# else:
# cmap = kwargs['cmap']
# #my_cmap = cm.copper
#
#
# if rxsens :
#
# ## values between the rx sensitivity and noise floor
# mcPrf = np.ma.masked_where((prdbm > self.rxsens)
# & (prdbm < self.pndbm),prdbm)
# # mcPrf = np.ma.masked_where((prdbm > self.rxsens) ,prdbm)
#
# cov1 = ax.imshow(mcPrf.reshape((self.nx,self.ny)).T,
# extent=(l,r,b,t),cmap = cm.copper,
# vmin=self.rxsens,origin='lower')
#
# ### values above the sensitivity
# mcPrs = np.ma.masked_where(prdbm < self.rxsens,prdbm)
# cov = ax.imshow(mcPrs.reshape((self.nx,self.ny)).T,
# extent=(l,r,b,t),
# cmap = cmap,
# vmin=self.rxsens,origin='lower')
# title=title + '\n black : Pr (dBm) < %.2f' % self.rxsens + ' dBm'
#
# else :
# cov=ax.imshow(prdbm.reshape((self.nx,self.ny)).T,
# extent=(l,r,b,t),
# cmap = cmap,
# vmin=self.pndbm,origin='lower')
#
# if nfl:
# ### values under the noise floor
# ### we first clip the value below the noise floor
# cl = np.nonzero(prdbm<=self.pndbm)
# cPr = prdbm
# cPr[cl] = self.pndbm
# mcPruf = np.ma.masked_where(cPr > self.pndbm,cPr)
# cov2 = ax.imshow(mcPruf.reshape((self.nx,self.ny)).T,
# extent=(l,r,b,t),cmap = 'binary',
# vmax=self.pndbm,origin='lower')
# title=title + '\n white : Pr (dBm) < %.2f' % self.pndbm + ' dBm'
#
#
# ax.scatter(self.tx[0],self.tx[1],s=10,c='k',linewidth=0)
#
# ax.set_title(title)
# divider = make_axes_locatable(ax)
# cax = divider.append_axes("right", size="5%", pad=0.05)
# clb = fig.colorbar(cov,cax)
# clb.set_label('Power (dBm)')
#
# if self.show:
# plt.show()
#
# return fig,ax
#
#
# def showTransistionRegion(self,polar='o'):
# """
#
# Notes
# -----
#
# See : "Analyzing the Transitional Region in Low Power Wireless Links"
# Marco Zuniga and Bhaskar Krishnamachari
#
# Examples
# --------
#
# .. plot::
# :include-source:
#
# > from pylayers.antprop.coverage import *
# > C = Coverage()
# > C.cover()
# > C.showTransitionRegion()
#
# """
#
# frameLength = self.framelengthbytes
#
# PndBm = self.pndbm
# gammaU = 10*np.log10(-1.28*np.log(2*(1-0.9**(1./(8*frameLength)))))
# gammaL = 10*np.log10(-1.28*np.log(2*(1-0.1**(1./(8*frameLength)))))
#
# PrU = PndBm + gammaU
# PrL = PndBm + gammaL
#
# fig,ax = self.L.showGs()
#
# l = self.grid[0,0]
# r = self.grid[-1,0]
# b = self.grid[0,1]
# t = self.grid[-1,-1]
#
# if polar=='o':
# prdbm=self.prdbmo
# if polar=='p':
# prdbm=self.prdbmp
#
# zones = np.zeros(np.shape(prdbm))
# #pdb.set_trace()
#
# uconnected = np.nonzero(prdbm>PrU)
# utransition = np.nonzero((prdbm < PrU)&(prdbm > PrL))
# udisconnected = np.nonzero(prdbm < PrL)
#
# zones[uconnected] = 1
# zones[utransition] = (prdbm[utransition]-PrL)/(PrU-PrL)
# cov = ax.imshow(zones.reshape((self.nx,self.ny)).T,
# extent=(l,r,b,t),cmap = 'BuGn',origin='lower')
#
# title='PDR region'
# ax.scatter(self.tx[0],self.tx[1],linewidth=0)
#
# ax.set_title(title)
# divider = make_axes_locatable(ax)
# cax = divider.append_axes("right", size="5%", pad=0.05)
# fig.colorbar(cov,cax)
# if self.show:
# plt.show()
#
def show(self,**kwargs):
""" show coverage
Parameters
----------
typ : string
'pr' | 'sinr' | 'capacity' | 'loss' | 'best'
grid : boolean
best : boolean
draw best server contour if True
f : int
frequency index
a : int
access point index (-1 all access point)
Examples
--------
.. plot::
:include-source:
>>> from pylayers.antprop.coverage import *
>>> C = Coverage()
>>> C.cover(polar='o')
>>> f,a = C.show(typ='pr')
>>> plt.show()
>>> f,a = C.show(typ='best')
>>> plt.show()
>>> f,a = C.show(typ='loss')
>>> plt.show()
>>> f,a = C.show(typ='sinr')
>>> plt.show()
"""
defaults = { 'typ': 'pr',
'grid': False,
'f' : 0,
'a' :-1,
'db':True,
'cmap' :cm.jet,
'best':True
}
title = self.dap[0].s.name+ ' : '
for k in defaults:
if k not in kwargs:
kwargs[k]=defaults[k]
if 'fig' in kwargs:
fig,ax=self.L.showG('s',fig=kwargs['fig'])
else:
fig,ax=self.L.showG('s')
# plot the grid
if kwargs['grid']:
for k in self.dap:
p = self.dap[k].p
ax.plot(p[0],p[1],'or')
f = kwargs['f']
a = kwargs['a']
typ = kwargs['typ']
best = kwargs['best']
dB = kwargs['db']
# setting the grid
l = self.grid[0,0]
r = self.grid[-1,0]
b = self.grid[0,1]
t = self.grid[-1,-1]
if typ=='best':
title = title + 'Best server'+' fc = '+str(self.fGHz[f])+' GHz'+ ' polar : '+self.polar
for ka in range(self.na):
bestsv = self.bestsv[f,:,ka]
m = np.ma.masked_where(bestsv == 0,bestsv)
W = m.reshape(self.nx,self.ny).T
ax.imshow(W, extent=(l,r,b,t),
origin='lower',
vmin=1,
vmax=self.na+1)
ax.set_title(title)
else:
if typ=='sinr':
title = title + 'SINR : '+' fc = '+str(self.fGHz[f])+' GHz'+ ' polar : '+self.polar
if dB:
legcb = 'dB'
else:
legcb = 'Linear scale'
V = self.sinr
if typ=='snr':
title = title + 'SNR : '+' fc = '+str(self.fGHz[f])+' GHz'+ ' polar : '+self.polar
if dB:
legcb = 'dB'
else:
legcb = 'Linear scale'
V = self.snr
if typ=='capacity':
title = title + 'Capacity : '+' fc = '+str(self.fGHz[f])+' GHz'+ ' polar : '+self.polar
legcb = 'Mbit/s'
V = self.bmhz[np.newaxis,np.newaxis,:]*np.log(1+self.sinr)/np.log(2)
if typ=='pr':
title = title + 'Pr : '+' fc = '+str(self.fGHz[f])+' GHz'+ ' polar : '+self.polar
if dB:
legcb = 'dBm'
else:
lgdcb = 'mW'
V = self.CmW
if typ=='loss':
title = title + 'Loss : '+' fc = '+str(self.fGHz[f])+' GHz'+ ' polar : '+self.polar
if dB:
legcb = 'dB'
else:
legcb = 'Linear scale'
V = self.Lw*self.freespace
if a == -1:
V = np.max(V[f,:,:],axis=1)
else:
V = V[f,:,a]
# reshaping the data on the grid
U = V.reshape((self.nx,self.ny)).T
if dB:
U = 10*np.log10(U)
if 'vmin' in kwargs:
vmin = kwargs['vmin']
else:
vmin = U.min()
if 'vmax' in kwargs:
vmax = kwargs['vmax']
else:
vmax = U.max()
img = ax.imshow(U,
extent=(l,r,b,t),
origin='lower',
vmin = vmin,
vmax = vmax,
cmap = kwargs['cmap'])
for k in range(self.na):
ax.annotate(str(k),xy=(self.pa[0,k],self.pa[1,k]))
ax.set_title(title)
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.05)
clb = fig.colorbar(img,cax)
clb.set_label(legcb)
if best:
ax.contour(np.sum(self.bestsv,axis=2)[f,:].reshape(self.nx,self.ny).T,extent=(l,r,b,t),linestyles='dotted')
# display access points
ax.scatter(self.pa[0,:],self.pa[1,:],s=10,c='k',linewidth=0)
return(fig,ax)
from pylayers.gis.layout import Layout
from pylayers.util.project import *
import pylayers.util.pyutil as pyu
import networkx as nx
import matplotlib.pyplot as plt
import warnings
import shutil
warnings.filterwarnings("error")
#doctest.testmod(layout)
#L = Layout('TA-Office.ini')
L = Layout()
lL = L.ls()
for tL in lL:
print 'Layout : ',tL
print '--------------------------'
if 'Munich' not in tL:
L = Layout(tL,bbuild=0,bgraphs=0)
f,a = L.showG('s')
plt.title(tL,fontsize=32)
plt.show()
plt.close('all')
#if L.check():
# L.save()
#filein = pyu.getlong(L._filename, pstruc['DIRLAY'])
#fileout = '/home/uguen/Documents/rch/devel/pylayers/data/struc/lay/'+L._filename
#print fileout
#shutil.copy2(filein,fileout)
#figure(figsize=(20,10))
#plt.axis('off')
def load(self, _filesimul):
""" load a simulation configuration file
each transmiter simulation results in the creation of an .ini file
with the following sections
related to the results obtained for different receivers
Parameters
----------
_filesimul : file in the simul directory of the Project
"""
self.filesimul = _filesimul
filesimul = pyu.getlong(self.filesimul, "ini")
self.config.read(filesimul)
sections = self.config.sections()
try:
_filetx = self.config.get("files", "tx")
except:
raise NameError('Error in section tx from ' + _filesimul)
try:
_filerx = self.config.get("files", "rx")
except:
raise NameError('Error in section rx from ' + _filesimul)
try:
_fileini = self.config.get("files", "struc")
except:
raise NameError('Error in section struc from ' + _fileini)
try:
_fileanttx = self.config.get("files", "txant")
except:
raise NameError('Error in section txant from ' + _filesimul)
try:
_fileantrx = self.config.get("files", "rxant")
except:
raise NameError('Error in section rxant from ' + _filesimul)
try:
self.tx = RadioNode(name='',
typ='tx',
_fileini=_filetx,
_fileant=_fileanttx)
self.rx = RadioNode(name='',
typ='rx',
_fileini=_filerx,
_fileant=_fileantrx)
except:
raise NameError('Error during Radionode load')
#
# Load Layout
#
try:
self.L = Layout(_fileini)
except:
raise NameError('Layout load error')
#
# Frequency base
#
if "frequency" in sections:
try:
self.fGHz = np.linspace(
float(self.config.getfloat("frequency", "fghzmin")),
float(self.config.getfloat("frequency", "fghzmax")),
int(self.config.getint("frequency", "nf")),
endpoint=True)
except:
raise NameError('Error in section frequency from ' +
_filesimul)
# update .freq file in tud directory
filefreq = pyu.getlong(self.filefreq, pstruc['DIRTUD'])
fd = open(filefreq, "w")
chaine = self.config.get("frequency", "fghzmin") + ' ' + \
self.config.get("frequency", "fghzmax") + ' ' + \
self.config.get("frequency", "nf")
fd.write(chaine)
fd.close
#
# Simulation Progress
#
# self.output = {}
# if "output" in sections:
# for itx in self.config.options("output"):
# _filename = self.config.get("output", itx)
# self.dout[int(itx)] = _filename
# filename = pyu.getlong(_filename, "output")
# output = ConfigParser.ConfigParser()
# output.read(filename)
# secout = output.sections()
# self.dtra[int(itx)] = {}
# self.dtud[int(itx)] = {}
# self.dtang[int(itx)] = {}
# self.drang[int(itx)] = {}
# self.dtauk[int(itx)] = {}
# self.dfield[int(itx)] = {}
# self.dcir[int(itx)] = {}
# if "launch" in secout:
# self.progress = 1
# keys_launch = output.options("launch")
# for kl in keys_launch:
# self.dlch[int(kl)] = output.get("launch", kl)
# if "trace" in secout:
# self.progress = 2
# keys_tra = output.options("trace")
# for kt in keys_tra:
# self.dtra[int(itx)][int(kt)] = output.get("trace", kt)
#
# if "tang" in secout:
# self.progress = 3
# keys_tang = output.options("tang")
# for kt in keys_tang:
# self.dtang[int(itx)][int(kt)] = output.get("tang", kt)
# self.drang[int(itx)][int(kt)] = output.get("rang", kt)
# self.dtud[int(itx)][int(kt)] = output.get("tud", kt)
# if "field" in secout:
# self.progress = 4
# keys_field = output.options("field")
# for kt in keys_field:
# self.dfield[int(itx)][int(kt)] = output.get(
# "field", kt)
# self.dtauk[int(itx)][int(kt)] = output.get("tauk", kt)
# if "cir" in secout:
# self.progress = 5
# keys_cir = output.options("cir")
# for kt in keys_cir:
# self.dcir[int(itx)][int(kt)] = output.get("cir", kt)
#
# self.output[int(itx)] = output
#
# Waveform section
#
self.wav = wvf.Waveform()
self.wav.read(self.config)
class Coverage(object):
""" Handle Layout Coverage
Methods
-------
create grid()
create a uniform grid for evaluating losses
cover()
run the coverage calculation
showPower()
display the map of received power
showLoss()
display the map of losses
Attributes
----------
All attributes are read from fileini ino the ini directory of the
current project
_fileini
default coverage.ini
L : a Layout
model : a pylayers.network.model object.
xstep : x step for grid
ystep : y step for grid
tx : transmitter position
txpe : transmitter power emmission level
show : boolean for automatic display power map
"""
def __init__(self,_fileini='coverage.ini'):
self.config = ConfigParser.ConfigParser()
self.config.read(pyu.getlong(_fileini,pstruc['DIRSIMUL']))
self.plm = dict(self.config.items('pl_model'))
self.layoutopt = dict(self.config.items('layout'))
self.gridopt = dict(self.config.items('grid'))
self.txopt = dict(self.config.items('tx'))
self.rxopt = dict(self.config.items('rx'))
self.showopt=dict(self.config.items('show'))
self.L=Layout(self.layoutopt['filename'])
self.model=Model(f=eval(self.plm['f']),
rssnp=eval(self.plm['rssnp']),
d0=eval(self.plm['d0']),
sigrss=eval(self.plm['sigrss']))
self.xstep = eval(self.gridopt['xstep'])
self.ystep = eval(self.gridopt['ystep'])
# transitter section
self.tx = np.array((eval(self.txopt['x']),eval(self.txopt['y'])))
self.ptdbm = eval(self.txopt['ptdbm'])
self.framelengthbytes = eval(self.txopt['framelengthbytes'])
# receiver section
self.rxsens = eval(self.rxopt['sensitivity'])
kBoltzmann = 1.3806503e-23
self.bandwidthmhz = eval(self.rxopt['bandwidthmhz'])
self.temperaturek = eval(self.rxopt['temperaturek'])
self.noisefactordb = eval(self.rxopt['noisefactordb'])
Pn = (10**(self.noisefactordb/10.)+1)*kBoltzmann*self.temperaturek*self.bandwidthmhz*1e3
self.pndbm = 10*np.log10(Pn)+60
self.show = str2bool(self.showopt['show'])
try:
self.L.Gt.nodes()
except:
pass
try:
self.L.dumpr('t')
except:
self.L.buildGt()
self.L.dumpw('t')
self.creategrid()
def creategrid(self):
"""create a grid
create a grid for various evaluation
"""
mi=np.min(self.L.Gs.pos.values(),axis=0)+0.01
ma=np.max(self.L.Gs.pos.values(),axis=0)-0.01
x=np.linspace(mi[0],ma[0],self.xstep)
y=np.linspace(mi[1],ma[1],self.ystep)
self.grid=np.array((list(np.broadcast(*np.ix_(x, y)))))
def cover(self):
""" start the coverage calculation
Examples
--------
.. plot::
:include-source:
>>> from pylayers.antprop.coverage import *
>>> C = Coverage()
>>> C.cover()
>>> C.showPr()
"""
self.Lwo,self.Lwp,self.Edo,self.Edp = Loss0_v2(self.L,self.grid,self.model.f,self.tx)
self.freespace = PL(self.grid,self.model.f,self.tx)
self.prdbmo = self.ptdbm - self.freespace - self.Lwo
self.prdbmp = self.ptdbm - self.freespace - self.Lwp
def showEd(self,polarization='o'):
""" show direct path excess of delay map
Examples
--------
.. plot::
:include-source:
>>> from pylayers.antprop.coverage import *
>>> C = Coverage()
>>> C.cover()
>>> C.showEdo()
"""
fig=plt.figure()
fig,ax=self.L.showGs(fig=fig)
l=self.grid[0,0]
r=self.grid[-1,0]
b=self.grid[0,1]
t=self.grid[-1,-1]
if polarization=='o':
cov=ax.imshow(self.Edo.reshape((self.xstep,self.ystep)).T,
extent=(l,r,b,t),
origin='lower')
titre = "Map of LOS excess delay, polar orthogonal"
if polarization=='p':
cov=ax.imshow(self.Edp.reshape((self.xstep,self.ystep)).T,
extent=(l,r,b,t),
origin='lower')
titre = "Map of LOS excess delay, polar parallel"
ax.scatter(self.tx[0],self.tx[1],linewidth=0)
ax.set_title(titre)
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.05)
clb = fig.colorbar(cov,cax)
clb.set_label('excess delay (ns)')
if self.show:
plt.show()
def showPower(self,rxsens=True,nfl=True,polarization='o'):
""" show the map of received power
Parameters
----------
rxsens : bool
clip the map with rx sensitivity set in self.rxsens
nfl : bool
clip the map with noise floor set in self.pndbm
polarization : string
'o'|'p'
Examples
--------
.. plot::
:include-source:
>>> from pylayers.antprop.coverage import *
>>> C = Coverage()
>>> C.cover()
>>> C.showPower()
"""
fig=plt.figure()
fig,ax=self.L.showGs(fig=fig)
l=self.grid[0,0]
r=self.grid[-1,0]
b=self.grid[0,1]
t=self.grid[-1,-1]
if polarization=='o':
prdbm=self.prdbmo
if polarization=='p':
prdbm=self.prdbmp
# tCM = plt.cm.get_cmap('jet')
# tCM._init()
# alphas = np.abs(np.linspace(.0,1.0, tCM.N))
# tCM._lut[:-3,-1] = alphas
title='Map of received power - Pt = '+str(self.ptdbm)+' dBm'
cdict = {
'red' : ((0., 0.5, 0.5), (1., 1., 1.)),
'green': ((0., 0.5, 0.5), (1., 1., 1.)),
'blue' : ((0., 0.5, 0.5), (1., 1., 1.))
}
#generate the colormap with 1024 interpolated values
my_cmap = m.colors.LinearSegmentedColormap('my_colormap', cdict, 1024)
if rxsens :
### values between the rx sensitivity and noise floor
mcPrf = np.ma.masked_where((prdbm > self.rxsens)
& (prdbm < self.pndbm),prdbm)
cov1 = ax.imshow(mcPrf.reshape((self.xstep,self.ystep)).T,
extent=(l,r,b,t),cmap = my_cmap,
vmin=self.rxsens,origin='lower')
### values above the sensitivity
mcPrs = np.ma.masked_where(prdbm < self.rxsens,prdbm)
cov = ax.imshow(mcPrs.reshape((self.xstep,self.ystep)).T,
extent=(l,r,b,t),
cmap = 'jet',
vmin=self.rxsens,origin='lower')
title=title + '\n gray : Pr (dBm) < %.2f' % self.rxsens + ' dBm'
else :
cov=ax.imshow(prdbm.reshape((self.xstep,self.ystep)).T,
extent=(l,r,b,t),
cmap = 'jet',
vmin=self.PndBm,origin='lower')
if nfl:
### values under the noise floor
### we first clip the value below he noise floor
cl = np.nonzero(prdbm<=self.pndbm)
cPr = prdbm
cPr[cl] = self.pndbm
mcPruf = np.ma.masked_where(cPr > self.pndbm,cPr)
cov2 = ax.imshow(mcPruf.reshape((self.xstep,self.ystep)).T,
extent=(l,r,b,t),cmap = 'binary',
vmax=self.pndbm,origin='lower')
title=title + '\n white : Pr (dBm) < %.2f' % self.pndbm + ' dBm'
ax.scatter(self.tx[0],self.tx[1],s=10,linewidth=0)
ax.set_title(title)
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.05)
clb = fig.colorbar(cov,cax)
clb.set_label('Power (dBm)')
if self.show:
plt.show()
def showTransistionRegion(self,polarization='o'):
"""
Notes
-----
See : Analyzing the Transitional Region in Low Power Wireless Links
Marco Zuniga and Bhaskar Krishnamachari
Examples
--------
.. plot::
:include-source:
>>> from pylayers.antprop.coverage import *
>>> C = Coverage()
>>> C.cover()
>>> C.showTransitionRegion()
"""
frameLength = self.framelengthbytes
PndBm = self.pndbm
gammaU = 10*np.log10(-1.28*np.log(2*(1-0.9**(1./(8*frameLength)))))
gammaL = 10*np.log10(-1.28*np.log(2*(1-0.1**(1./(8*frameLength)))))
PrU = PndBm + gammaU
PrL = PndBm + gammaL
fig=plt.figure()
fig,ax = self.L.showGs(fig=fig)
l = self.grid[0,0]
r = self.grid[-1,0]
b = self.grid[0,1]
t = self.grid[-1,-1]
if polarization=='o':
prdbm=self.prdbmo
if polarization=='p':
prdbm=self.prdbmp
zones = np.zeros(len(prdbm))
uconnected = np.nonzero(prdbm>PrU)[0]
utransition = np.nonzero((prdbm < PrU)&(prdbm > PrL))[0]
udisconnected = np.nonzero(prdbm < PrL)[0]
zones[uconnected] = 1
zones[utransition] = (prdbm[utransition]-PrL)/(PrU-PrL)
cov = ax.imshow(zones.reshape((self.xstep,self.ystep)).T,
extent=(l,r,b,t),cmap = 'BuGn',origin='lower')
title='PDR region'
ax.scatter(self.tx[0],self.tx[1],linewidth=0)
ax.set_title(title)
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.05)
fig.colorbar(cov,cax)
if self.show:
plt.show()
def showLoss(self,polarization='o'):
""" show losses map
Parameters
----------
polarization : string
'o'|'p'|'both'
Examples
--------
.. plot::
:include-source:
>>> from pylayers.antprop.coverage import *
>>> C = Coverage()
>>> C.cover()
>>> C.showLoss(polarization='o')
>>> C.showLoss(polarization='p')
"""
fig = plt.figure()
fig,ax=self.L.showGs(fig=fig)
l=self.grid[0,0]
r=self.grid[-1,0]
b=self.grid[0,1]
t=self.grid[-1,-1]
if polarization=='o':
cov = ax.imshow(self.Lwo.reshape((self.xstep,self.ystep)).T,
extent=(l,r,b,t),
origin='lower')
title = ('Map of losses, orthogonal (V) polarization')
if polarization=='p':
cov = ax.imshow(self.Lwp.reshape((self.xstep,self.ystep)).T,
extent=(l,r,b,t),
origin='lower')
title = ('Map of losses, parallel (H) polarization')
ax.scatter(self.tx[0],self.tx[1],linewidth=0)
ax.set_title(title)
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.05)
fig.colorbar(cov,cax)
if self.show:
plt.show()
def __init__(self, **args):
""" Mobile Agent Init
Parameters
----------
'ID': string
agent ID
'name': string
Agent name
'type': string
agent type . 'ag' for moving agent, 'ap' for static acces point
'pos' : np.array([])
numpy array containing the initial position of the agent
'roomId': int
Room number where the agent is initialized (Layout.Gr)
'meca_updt': float
update time interval for the mechanical process
'loc': bool
enable/disable localization process of the agent
'loc_updt': float
update time interval for localization process
'Layout': pylayers.gis.Layout()
'net':pylayers.network.Network(),
'RAT': list of string
list of used radio access techology of the agent
'world': transit.world()
Soon deprecated
'save': list of string
list of save method ( soon deprecated)
'sim':Simpy.SimulationRT.Simulation(),
'epwr': dictionnary
dictionnary of emmited power of transsmitter{'rat#':epwr value}
'sens': dictionnary
dictionnary of sensitivity of reveicer {'rat#':sens value}
'dcond': dictionnary
Not used yet
'gcom':pylayers.communication.Gcom()
Communication graph
'comm_mod': string
Communication between nodes mode:
'autonomous': all TOAs are refreshed regulary
'synchro' : only visilbe TOAs are refreshed
"""
defaults = {
'ID': 0,
'name': 'johndoe',
'type': 'ag',
'pos': np.array([]),
'roomId': 0,
'froom': [],
'wait': [],
'cdest': 'random',
'meca_updt': 0.1,
'loc': False,
'loc_updt': 0.5,
'loc_method': ['geo'],
'Layout': Layout(),
'net': Network(),
'RAT': ['wifi'],
'world': world(),
'save': [],
'sim': Simulation(),
'epwr': {},
'sens': {},
'dcond': {},
'gcom': Gcom(),
'comm_mode': 'autonomous'
}
for key, value in defaults.items():
if key not in args:
args[key] = value
self.args = args
self.ID = args['ID']
self.name = args['name']
self.type = args['type']
# Create Network
self.net = args['net']
self.epwr = args['epwr']
self.gcom = args['gcom']
try:
self.dcond = args['dcond']
except:
pass
if self.type == 'ag':
# mechanical init
self.meca = Person(ID=self.ID,
roomId=args['roomId'],
L=args['Layout'],
net=self.net,
interval=args['meca_updt'],
wld=args['world'],
sim=args['sim'],
moving=True,
froom=args['froom'],
wait=args['wait'],
cdest=args['cdest'],
save=args['save'])
self.meca.behaviors = [Queuing(),Seek(), Containment(),\
Separation(), InterpenetrationConstraint()]
self.meca.steering_mind = queue_steering_mind
# self.meca.steering_mind = queue_steering_mind
# filll in network
## Network init
self.node = Node(ID=self.ID,
p=conv_vecarr(self.meca.position),
t=time.time(),
RAT=args['RAT'],
epwr=args['epwr'],
sens=args['sens'],
type=self.type)
self.net.add_nodes_from(self.node.nodes(data=True))
self.sim = args['sim']
self.sim.activate(self.meca, self.meca.move(), 0.0)
self.PN = self.net.node[self.ID]['PN']
## Communication init
if args['comm_mode'] == 'synchro':
## The TOA requests are made every refreshTOA time ( can be modified in agent.ini)
self.rxr = RX(net=self.net,
ID=self.ID,
dcond=self.dcond,
gcom=self.gcom,
sim=self.sim)
self.rxt = RX(net=self.net,
ID=self.ID,
dcond=self.dcond,
gcom=self.gcom,
sim=self.sim)
self.sim.activate(self.rxr, self.rxr.refresh_RSS(), 0.0)
self.sim.activate(self.rxt, self.rxt.refresh_TOA(), 0.0)
elif args['comm_mode'] == 'autonomous':
## The TOA requests are made by node only when they are in visibility of pairs.
self.rxr = RX(net=self.net,
ID=self.ID,
dcond=self.dcond,
gcom=self.gcom,
sim=self.sim)
self.rxt = RX(net=self.net,
ID=self.ID,
dcond=self.dcond,
gcom=self.gcom,
sim=self.sim)
self.txt = TX(net=self.net,
ID=self.ID,
dcond=self.dcond,
gcom=self.gcom,
sim=self.sim)
self.sim.activate(self.rxr, self.rxr.refresh_RSS(), 0.0)
self.sim.activate(self.rxt, self.rxt.wait_TOArq(), 0.0)
self.sim.activate(self.txt, self.txt.request_TOA(), 0.0)
elif self.type == 'ap':
if args['roomId'] == -1:
self.node = Node(ID=self.ID,
p=self.args['pos'],
t=time.time(),
RAT=args['RAT'],
epwr=args['epwr'],
sens=args['sens'],
type=self.type)
else:
pp = np.array(args['Layout'].Gr.pos[self.args['roomId']])
self.node = Node(ID=self.ID,
p=pp,
t=time.time(),
RAT=args['RAT'],
epwr=args['epwr'],
sens=args['sens'],
type=self.type)
self.net.add_nodes_from(self.node.nodes(data=True))
self.sim = args['sim']
# self.sim.activate(self.meca, self.meca.move(),0.0)
self.PN = self.net.node[self.ID]['PN']
self.PN.node[self.ID]['pe'] = self.net.node[self.ID]['p']
else:
raise NameError(
'wrong agent type, it must be either agent (ag) or acces point (ap) '
)
if self.type == 'ap':
self.MoA = 1
else:
self.MoA = 0
if 'mysql' in args['save']:
config = ConfigParser.ConfigParser()
config.read(pyu.getlong('simulnet.ini', 'ini'))
sql_opt = dict(config.items('Mysql'))
db = Database(sql_opt['host'], sql_opt['user'], sql_opt['passwd'],
sql_opt['dbname'])
db.writenode(self.ID, self.name, self.MoA)
if 'txt' in args['save']:
pyu.writenode(self)
if args['loc'] and self.type != 'ap':
self.loc = Localization(net=self.net,
ID=self.ID,
method=args['loc_method'])
self.Ploc = PLocalization(loc=self.loc,
loc_updt_time=args['loc_updt'],
sim=args['sim'])
self.sim.activate(self.Ploc, self.Ploc.run(), 1.5)
import time
from pylayers.util.project import *
import pylayers.util.pyutil as pyu
from pylayers.util.utilnet import str2bool
from pylayers.gis.layout import Layout
from pylayers.antprop.multiwall import *
from pylayers.antprop.coverage import *
from pylayers.network.model import *
L = Layout('TA-Office.ini')
L.dumpr()
A=np.array((4,1)) # defining transmitter position
B=np.array((30,12)) # defining receiver position
fGHz = 2.4
r = np.array((B,B))
from pylayers.gis.layout import Layout
import networkx as nx
import matplotlib.pyplot as plt
import doctest
plt.ion()
#doctest.testmod(layout)
#L = Layout('TA-Office.ini')
L = Layout('WHERE1.ini')
#L= Layout('11Dbibli.ini')
#L.show()
#L = Layout('PTIN.ini')
#L = Layout('DLR.ini')
#L.build()
L.dumpr()
L.showGi(en=11)
#Ga = L.buildGr()
#L.showGs()
#nx.draw(Ga,Ga.pos)
from pylayers.gis.layout import Layout
import networkx as nx
import matplotlib.pyplot as plt
#doctest.testmod(layout)
#L = Layout('TA-Office.ini')
L = Layout()
lL = L.ls()
for tL in lL:
print tL
#f = plt.figure(figsize=(20,10))
#plt.axis('off')
#f,a = L.showG('s',nodes=False,fig=f)
#plt.show()
#f,a = L.showG('r',edge_color='b',linewidth=4,fig=f)
#L= Layout('11Dbibli.ini')
#L.show()
#L = Layout('PTIN.ini')
#L = Layout('DLR.ini')
#L.buildGt()
#Ga = L.buildGr()
#L.showGs()
#nx.draw(Ga,Ga.pos)
def ishow(self):
"""
interactive show of trajectories
Examples
--------
.. plot::
:include-source:
>>> from pylayers.mobility.trajectory import *
>>> T=Trajectories()
>>> T.loadh5()
>>> T.ishow()
"""
fig, ax = plt.subplots()
fig.subplots_adjust(bottom=0.2, left=0.3)
t = np.arange(0, len(self[0].index), self[0].ts)
L = Layout(self.Lfilename)
fig, ax = L.showG('s', fig=fig, ax=ax)
valinit = 0
lines = []
labels = []
colors = "bgrcmykw"
for iT, T in enumerate(self):
if T.typ == 'ag':
lines.extend(ax.plot(T['x'][0:valinit],T['y'][0:valinit], 'o',
color=colors[iT], visible=True))
labels.append(T.name + ':' + T.ID)
else:
lines.extend(ax.plot(T['x'][0], T['y'][0], '^', ms=12,
color=colors[iT], visible=True))
labels.append(T.name + ':' + T.ID)
t = self[0].time()
# init boolean value for visible in checkbutton
blabels = [True]*len(labels)
########
# slider
########
slider_ax = plt.axes([0.1, 0.1, 0.8, 0.02])
slider = Slider(slider_ax, "time", self[0].tmin, self[0].tmax,
valinit=valinit, color='#AAAAAA')
def update(val):
if val >= 1:
pval=np.where(val>t)[0]
ax.set_title(str(self[0].index[pval[-1]].time())[:11].ljust(12),
loc='left')
for iT, T in enumerate(self):
if T.typ == 'ag':
lines[iT].set_xdata(T['x'][pval])
lines[iT].set_ydata(T['y'][pval])
fig.canvas.draw()
slider.on_changed(update)
########
# choose
########
rax = plt.axes([0.02, 0.5, 0.3, 0.2], aspect='equal')
# check (ax.object, name of the object , bool value for the obsject)
check = CheckButtons(rax, labels, tuple(blabels))
def func(label):
i = labels.index(label)
lines[i].set_visible(not lines[i].get_visible())
fig.canvas.draw()
check.on_clicked(func)
fig.canvas.draw()
plt.show(fig)
class Simul(PyLayers):
""" Simulation Class
Methods
-------
gui()
graphical user interface
choose()
choose a simulation file in simuldir
info()
info about the simulation
showray(itx,irx,iray)
show a single ray
help()
help on using Simulation object
freq()
return the frequency base
save()
save Simulation file
layout
load a Layout file
load()
load Simulation
show3()
geomview vizualization
show3l(itx,irx)
geomview vizualization of link itx irx
show()
2D visualization of simulation with furniture
run(itx,irx)
run simulation for links (itx,irx)
cir(itx,irx,store_level=0,alpha=1.0)
Channel Impulse Response calculation
Attributes
----------
fileconf
filetauk
filetang
filerang
tx
rx
progress
indoor
mat
sl
Notes
------
This class group together all the parametrization files of a simulation
Directory list file :
fileconf
Constitutive parameters file :
fileslab
filemat
Ray Tracing parameters files :
filepalch
filetra
Frequency list file :
filefreq
"""
def __init__(self, _filesimul='default.ini'):
self.filesimul = _filesimul
self.config = ConfigParser.ConfigParser()
self.config.add_section("files")
self.config.add_section("frequency")
self.config.add_section("waveform")
self.config.add_section("output")
self.dtang = {}
self.drang = {}
self.dtauk = {}
self.dfield = {}
self.dcir = {}
self.output = {}
#
# Here was a nasty bug : Rule for the future
# "Always precise the key value of the passed argument"
#
# Mal nommer les choses, c'est ajouter au malheur du monde ( Albert Camus )
#
self.tx = RadioNode(name = '',
typ = 'tx',
_fileini = 'radiotx.ini',
_fileant = 'defant.vsh3',
)
self.rx = RadioNode(name = '',
typ = 'rx',
_fileini = 'radiorx.ini',
_fileant = 'defant.vsh3',
)
self.filefreq = "def.freq"
self.progress = -1 # simulation not loaded
self.filetang = []
self.filerang = []
self.filetauk = []
self.filefield = []
self.fileconf = "project.conf"
self.cfield = []
self.fGHz = np.linspace(2, 11, 181, endpoint=True)
self.wav = wvf.Waveform()
try:
self.load(_filesimul)
except:
pass
def gui(self):
""" gui to modify the simulation file
"""
simulgui = multenterbox('', 'Simulation file',
('filesimul',
'filestr',
'filefreq',
'filespaTx',
'filespaRx',
'fileantTx'
'fileantRx'),
(self.filesimul,
self.filestr,
self.filefreq,
self.filespaTx,
self.filespaRx,
self.fileantTx,
self.fileantRx))
if simulgui is not None:
self.filesimul = simulgui[0]
self.filestr = simulgui[1]
self.filefreq = simulgui[6]
self.filespaTx = simulgui[7]
self.filespaRx = simulgui[8]
self.fileantTx = simulgui[9]
self.fileantRx = simulgui[10]
def updcfg(self):
""" update simulation .ini config file
with values currently in use.
"""
self.config.set("files", "struc", self.filestr)
self.config.set("files", "conf", self.fileconf)
self.config.set("files", "txant", self.tx.fileant)
self.config.set("files", "rxant", self.rx.fileant)
self.config.set("files", "tx", self.tx.fileini)
self.config.set("files", "rx", self.rx.fileini)
self.config.set("files", "mat", self.filematini)
self.config.set("files", "slab", self.fileslabini)
self.config.set("tud", "purc", str(self.patud.purc))
self.config.set("tud", "nrmax", str(self.patud.nrmax))
self.config.set("tud", "num", str(self.patud.num))
#
# frequency section
#
self.config.set("frequency", "fghzmin", self.fGHz[0])
self.config.set("frequency", "fghzmax", self.fGHz[-1])
self.config.set("frequency", "nf", str(len(self.fGHz)))
#
# waveform section
#
self.config.set("waveform", "tw", str(self.wav['twns']))
self.config.set("waveform", "band", str(self.wav['bandGHz']))
self.config.set("waveform", "fc", str(self.wav['fcGHz']))
self.config.set("waveform", "thresh", str(self.wav['threshdB']))
self.config.set("waveform", "type", str(self.wav['typ']))
self.config.set("waveform", "fe", str(self.wav['feGHz']))
#
# output section
#
for k in self.output.keys():
self.config.set("output",str(k),self.dout[k])
# Initialize waveform
self.wav = wvf.Waveform()
# Update waveform
self.wav.read(self.config)
self.save()
def clean(self, level=1):
""" clean
Notes
-----
obsolete
Parameters
----------
level = 1
"""
if level > 0:
for itx in range(self.tx.N):
filename = pyu.getlong(self.filelch[itx], pstruc['DIRLCH'])
print filename
if level > 1:
for itx in range(self.tx.N):
for irx in range(self.rx.N):
filename = pyu.getlong(self.filetra[itx][irx],
pstruc(['DIRTRA']))
print filename
if level > 2:
for itx in range(self.tx.N):
for irx in range(self.rx.N):
filename = pyu.getlong(self.filetud[itx][irx], pstruc['DIRTUD'])
print filename
filename = pyu.getlong(self.filetauk[itx][irx],pstruc['DIRTUD'])
print filename
if level > 3:
for itx in range(self.tx.N):
for irx in range(self.rx.N):
filename = pyu.getlong(self.filetang[itx][irx], pstruc['DIRTUD'])
print filename
filename = pyu.getlong(self.filerang[itx][irx], pstruc['DIRTUD'])
print filename
filename = pyu.getlong(self.filefield[itx][irx], pstruc['DIRTUD'])
print filename
def clean_project(self,verbose= True):
"""
Clean Pyrpoject directory
remove .lch, .tra, .field .tud, .tauk, .tang, .rang, <pyproject>/output
remove [output] entries into .ini of self.filesimul
Parameters
----------
verbose : boolean
Verbose mode on/off
Returns
-------
Boolean:
True if the project has been cleaned, False otherwise
"""
if verbose:
print "-----------------------------------"
print "-----------------------------------"
print " WARNING "
print "-----------------------------------"
print "-----------------------------------"
print "You are about to remove ALL previous computed raytracing files."
print "If you decide to remove it, you will need to restart the entire \
raytracing simulation to exploit simulation results"
print "\n Do you want to remove these simulation files ? y/n"
r=raw_input()
else :
r =='y'
if r == 'y':
inifile=self.filesimul
try:
path=os.getenv('BASENAME')
except:
print('Error : there is no project directory in $BASENAME')
dirlist=['output']
extension=['.lch','.field','.tra','.tud','.tang','.rang','.tauk']
rindic=False
# remove file
for d in dirlist:
for ex in extension:
files = os.listdir(path +'/' +d )
for f in files:
if not os.path.isdir(path+'/'+d+'/'+f) and ex in f:
rindic=True
if verbose:
print f
os.remove(path+'/'+d+'/'+f)
if rindic:
if verbose:
print 'removed *' + ex +' from ' +d +'\n'
rindic=False
# remove output into the self.filesimul ini file
simcfg = ConfigParser.ConfigParser()
simcfg.read(pyu.getlong(inifile,pstruc['DIRSIMUL']))
simcfg.remove_section('output')
f=open(pyu.getlong(inifile,pstruc['DIRSIMUL']),'wb')
simcfg.write(f)
f.close()
self.dout = {}
self.dlch = {}
self.dtra = {}
self.dtud = {}
self.dtang = {}
self.drang = {}
self.dtauk = {}
self.dfield = {}
self.dcir = {}
self.output = {}
if verbose:
print 'removed [output] entries into ' +inifile +'\n'
print 'Project CLEANED'
return True
else :
if verbose:
print "clean project process ABORTED"
return False
def save(self):
""" save simulation file
Simulation files are .ini files which are saved in a dedicated
directory basename/ini in the Project tree
"""
filesimul = pyu.getlong(self.filesimul, "ini")
fd = open(filesimul, "w")
# getting current spa file if any
try:
self.config.set("files", "tx", self.tx.fileini)
except:
pass
try:
self.config.set("files", "rx", self.rx.fileini)
except:
pass
self.config.write(fd)
fd.close()
# save tx
self.tx.save()
# save rx
self.rx.save()
# save slab and mat file
# --
# self.slab.save(self.fileslabini)
# self.slab.mat.save(self.filematini)
# --
# fix bug #189
# slab is a member of S.L not of S anymore
# mat is a member of S.L.sl not of S.slab
try:
self.L.sl.save(self.fileslabini)
except:
pass
try:
self.L.sl.mat.save(self.filematini)
except:
pass
# def saveold(self):
# """ save simulation file
# """
# filesimul = pyu.getlong(self.filesimul, "ini")
# fd = open(filesimul, "w")
# config = ConfigParser.ConfigParser()
# #
# # files section
# #
# #config.add_section("files")
# self.config.set("files", "conf", self.fileconf)
# self.config.set("files", "struc", self.filestr)
# self.config.set("files", "slab", self.fileslab)
# self.config.set("files", "mat", self.filemat)
# try:
# self.config.set("files", "tx", self.tx.filespa)
# except:
# pass
# try:
# self.config.set("files", "rx", self.rx.filespa)
# except:
# pass
# try:
# self.config.set("files", "txant", self.tx.fileant)
# except:
# pass
# try:
# self.config.set("files", "rxant", self.rx.fileant)
# except:
# pass
# self.config.set("files", "patra", self.filepatra)
# self.config.set("files", "palch", self.filepalch)
# self.palch.save()
# self.patra.save()
# #
# # tud section
# #
# self.config.set("tud", "purc", self.patud.purc)
# self.config.set("tud", "nrmax", self.patud.nrmax)
# self.config.set("tud", "num", self.patud.num)
# #
# # frequency section
# #
# self.config.set("frequency", "fghzmin", self.freq[0])
# self.config.set("frequency", "fghzmax", self.freq[-1])
# self.config.set("frequency", "Nf", len(self.freq))
# #
# # output section
# #
# #filelch exists
# if self.progress > 0:
# #config.add_section("output")
# for k in range(len(self.filelch)):
# _fileout = "out" + "???"
# filename = self.filelch[k]
# self.config.set("launch", str(k + 1), filename)
# # filetra exists
# for k in range(len(self.filelch)):
# if self.progress > 1:
# #self.config.add_section("trace")
# for l in arange(len(self.filetra[k])):
# filename = self.filetra[k][l]
# self.config.set("trace", "rx" + str(l + 1), filename)
# # .tang exists
# # .rang exists
# # .tud exists
# if self.progress > 2:
# #config.add_section("tud")
# #config.add_section("tang")
# #config.add_section("rang")
# for l in arange(len(self.filetud[k])):
# ftud = self.filetud[k][l]
# self.config.set("tud", "rx" + str(l + 1), ftud)
# for l in arange(len(self.filetang[k])):
# ftang = self.filetang[k][l]
# self.config.set("tang", "rx" + str(l + 1), ftang)
# for l in arange(len(self.filerang[k])):
# frang = self.filerang[k][l]
# self.config.set("rang", "rx" + str(l + 1), frang)
# # .field exist
# # .tauk exist
# if self.progress > 3:
# #config.add_section("tauk")
# #config.add_section("field")
# for l in arange(len(self.filetud[k])):
# ftauk = self.filetud[k][l]
# self.config.set("tauk", "rx" + str(l + 1), ftauk)
# for l in arange(len(self.filefield[k])):
# ffield = self.filefield[k][l]
# self.config.set("field", "rx" + str(l + 1), ffield)
# self.config.write(fd)
# fd.close()
def save_project(self):
""" save Simulation files in a zipfile
Simulation files are .ini files which are saved in a dedicated
directory basename/ini in the Project tree
"""
root = Tkinter.Tk()
zipfileName = tkFileDialog.asksaveasfilename(parent=root,
filetypes = [("zipped file","zip")] ,
title="Save Project",
)
pyu.zipd(basename,zipfileName)
root.withdraw()
print "Current project saved in", zipfileName
def load_project(self):
""" load Simulation files from a zipfile
Simulation files are .ini files which are saved in a dedicated
directory basename/ini in the Project tree
"""
root = Tkinter.Tk()
zipfileName= tkFileDialog.askopenfile(parent=root,
mode='rb',
title='Choose a project')
dirname = tkFileDialog.askdirectory(parent=root,
initialdir=basename,
title='Please select a directory',
mustexist=0)
pyu.unzipd(dirname,zipfileName)
root.withdraw()
print "Current project loaded in", dirname
def choose(self):
"""
Choose a simulation file in simuldir
"""
import tkFileDialog as FD
fichsimul = FD.askopenfilename(filetypes=[("Fichiers simul ",
"*.simul"),
("All", "*")],
title="Please choose a simulation file",
initialdir=simuldir)
self.filesimul = pyu.getshort(fichsimul)
self.load()
def load(self, _filesimul):
""" load a simulation configuration file
each transmiter simulation results in the creation of an .ini file
with the following sections
related to the results obtained for different receivers
Parameters
----------
_filesimul : file in the simul directory of the Project
"""
self.filesimul = _filesimul
filesimul = pyu.getlong(self.filesimul, "ini")
self.config.read(filesimul)
sections = self.config.sections()
try:
_filetx = self.config.get("files", "tx")
except:
raise NameError('Error in section tx from '+ _filesimul)
try:
_filerx = self.config.get("files", "rx")
except:
raise NameError('Error in section rx from '+ _filesimul)
try:
_fileanttx = self.config.get("files", "txant")
except:
raise NameError('Error in section txant from '+ _filesimul)
try:
_fileantrx = self.config.get("files", "rxant")
except:
raise NameError('Error in section rxant from '+ _filesimul)
try:
self.tx = RadioNode(name = '',
typ = 'tx',
_fileini = _filetx,
_fileant = _fileanttx,
_filestr = self.filestr)
self.rx = RadioNode(name = '',
typ = 'rx',
_fileini = _filerx,
_fileant = _fileantrx,
_filestr = self.filestr)
except:
raise NameError('Error during Radionode load')
#
# Load Layout
#
try:
self.L = Layout(self.filestr)
except:
raise NameError('Layout load error')
#
# Frequency base
#
if "frequency" in sections:
try:
self.fGHz = np.linspace(float(self.config.getfloat("frequency", "fghzmin")),
float(self.config.getfloat("frequency", "fghzmax")),
int(self.config.getint("frequency", "nf")),
endpoint=True)
except:
raise NameError('Error in section frequency from '+ _filesimul)
# update .freq file in tud directory
filefreq = pyu.getlong(self.filefreq, pstruc['DIRTUD'])
fd = open(filefreq, "w")
chaine = self.config.get("frequency", "fghzmin") + ' ' + \
self.config.get("frequency", "fghzmax") + ' ' + \
self.config.get("frequency", "nf")
fd.write(chaine)
fd.close
#
# Simulation Progress
#
self.output = {}
if "output" in sections:
for itx in self.config.options("output"):
_filename = self.config.get("output", itx)
self.dout[int(itx)] = _filename
filename = pyu.getlong(_filename, "output")
output = ConfigParser.ConfigParser()
output.read(filename)
secout = output.sections()
self.dtra[int(itx)] = {}
self.dtud[int(itx)] = {}
self.dtang[int(itx)] = {}
self.drang[int(itx)] = {}
self.dtauk[int(itx)] = {}
self.dfield[int(itx)] = {}
self.dcir[int(itx)] = {}
if "launch" in secout:
self.progress = 1
keys_launch = output.options("launch")
for kl in keys_launch:
self.dlch[int(kl)] = output.get("launch", kl)
if "trace" in secout:
self.progress = 2
keys_tra = output.options("trace")
for kt in keys_tra:
self.dtra[int(itx)][int(kt)] = output.get("trace", kt)
if "tang" in secout:
self.progress = 3
keys_tang = output.options("tang")
for kt in keys_tang:
self.dtang[int(itx)][int(kt)] = output.get("tang", kt)
self.drang[int(itx)][int(kt)] = output.get("rang", kt)
self.dtud[int(itx)][int(kt)] = output.get("tud", kt)
if "field" in secout:
self.progress = 4
keys_field = output.options("field")
for kt in keys_field:
self.dfield[int(itx)][int(kt)] = output.get(
"field", kt)
self.dtauk[int(itx)][int(kt)] = output.get("tauk", kt)
if "cir" in secout:
self.progress = 5
keys_cir = output.options("cir")
for kt in keys_cir:
self.dcir[int(itx)][int(kt)] = output.get("cir", kt)
self.output[int(itx)] = output
#
# Waveform section
#
self.wav = wvf.Waveform()
self.wav.read(self.config)
def layout(self, _filestruc):
""" load a layout in the simulation oject
Parameters
----------
_filestruc : string
short file name of the Layout object
Examples
--------
>>> from pylayers.simul.simulem import *
>>> S = Simul()
>>> S.layout('defstr.ini')
"""
self.filestr = _filestruc
self.L = Layout(_filestruc)
# update config
self.config.set("files", "struc", self.filestr)
self.save()
def show(self, itx=[-1], irx=[-1], furniture=True, s=8, c='b', traj=False, num=False,fig=[],ax=[]):
""" show simulation
Parameters
-----------
itx : list of tx indices
irx : list of rx indices
furniture : boolean for METALIC furniture display
s : scale fir scatter plot (default 8)
c : color for scatter plot (default 'b')
traj : boolean (def False)
num : boolean (def False)
display a number
Examples
--------
>>> import matplotlib.pyplot as plt
>>> from pylayers.simul.simulem import *
>>> S = Simul()
>>> S.load('w1.ini')
>>> S.L.loadfur('FurW1.ini')
>>> S.show()
>>> plt.show()
"""
if type(itx) == int:
itx = [itx]
if type(irx) == int:
irx = [irx]
if fig ==[]:
fig = plt.gcf()
if ax==[]:
ax = fig.gca()
#self.L.display['scaled']=False
fig,ax=self.L.showG('s',fig=fig,ax=ax, aw=True)
#
if furniture:
if 'lfur' in self.L.__dict__:
for fur in self.L.lfur:
if fur.Matname == 'METAL':
fur.show(fig, ax)
else:
print "Warning : no furniture file loaded"
if irx[0] == -1:
ax.scatter(self.rx.position[0,:],
self.rx.position[1,:], c='b', s=s, alpha=0.5)
#ax.scatter(self.rx.position[0,0],self.rx.position[0,1],c='k',s=s,linewidth=0)
#ax.scatter(self.rx.position[1,0],self.rx.position[1,1],c='b',s=s,linewidth=0)
#ax.scatter(self.rx.position[2,0],self.rx.position[2,1],c='g',s=s,linewidth=0)
#ax.scatter(self.rx.position[3,0],self.rx.position[3,1],c='c',s=s,linewidth=0)
else:
for k in irx:
ax.scatter(self.rx.position[0,k - 1],
self.rx.position[1,k - 1], c='b', s=s, alpha=0.5)
if num:
ax.text(self.rx.position[0,k - 1],
self.rx.position[1,k - 1],
str(k), color='blue')
if itx[0] == -1:
ax.scatter(self.tx.position[0,:],
self.tx.position[1,:], c='r', s=s)
else:
if traj:
cpt = 1
for k in itx:
ax.scatter(self.tx.position[0,k - 1],
self.tx.position[1,k - 1],
c=c, s=s, linewidth=0)
if num:
if traj:
ax.text(self.tx.position[0,k - 1],
self.tx.position[1,k - 1],
str(cpt), color='black')
cpt = cpt + 1
else:
ax.text(self.tx.position[0,k - 1],
self.tx.position[1,k - 1],
str(k), color='black')
return (fig,ax)
#for k in range(self.tx.N):
# ax.text(self.tx.position[0,k],self.tx.position[1,k],str(k+1),color='black')
# ax.scatter(self.tx.position[0,:],self.tx.position[0,:],
#for k in range(self.rx.N):
# ax.text(self.rx.position[0,k],self.rx.position[1,k],str(k),color='black')
def PL(self, itx):
""" plot Path Loss
itx
"""
td = []
tEa = []
tEo = []
for irx in self.dcir[itx].keys():
d = self.delay(itx, irx) * 0.3
cira, ciro = self.loadcir(itx, irx)
td.append(d)
tEa.append(Ea)
tEo.append(Eo)
plt.semilogx(td, 10 * np.log10(tEa), 'xr')
plt.semilogx(td, 10 * np.log10(tEo), 'xb')
plt.show()
return td, tEa, tEo
def evalcir(self,cutoff=4,algo='new'):
"""
Parameters
----------
S
tx
rx
wav
cutoff
"""
crxp =-1
ctxp =-1
tcir = {}
tx = self.tx.position
Ntx = len(tx[0])
rx = self.rx.position
Nrx = len(rx[0])
#for kt in range(1,Ntx-1):
#print kt+1
kt=0
tcir[kt] = {}
t = np.array([self.tx.position[0,kt],self.tx.position[1,kt],self.tx.position[2,kt]])
for kr in range(Nrx):
if (np.mod(kr,10)==0):
print kr+1
r = np.array([self.rx.position[0,kr],self.rx.position[1,kr],self.rx.position[2,kr]])
ctx = self.L.pt2cy(t)
crx = self.L.pt2cy(r)
if (ctx<>ctxp)|(crx<>crxp):
Si = signature.Signatures(self.L,ctx,crx)
ctxp = ctx
crxp = crx
Si.run4(cutoff=cutoff,algo=algo)
r2d = Si.rays(t,r)
#r2d.show(S.L)
r3d = r2d.to3D(self.L)
r3d.locbas(self.L)
r3d.fillinter(self.L)
Ct = r3d.eval(self.fGHz)
sca = Ct.prop2tran(self.tx.A,self.rx.A)
cir = sca.applywavB(self.wav.sfg)
tcir[kt][kr] = cir
return(tcir)
def loadcir(self, itx, irx):
"""
Parameters
----------
itx : Tx index
irx : Rx index
Returns
-------
cir(itx,irx)
"""
_filecir = self.dcir[itx][irx] + '.mat'
ext = str(itx)
if len(ext) == 1:
ext = '00' + ext
if len(ext) == 2:
ext = '0' + ext
filecir = pyu.getlong(_filecir, pstruc['DIRCIR']+'/Tx' + ext)
D = spio.loadmat(filecir)
kxa = 'ta' + str(irx)
kya = 'cira' + str(irx)
kxo = 'to' + str(irx)
kyo = 'ciro' + str(irx)
cira = bs.TUsignal(D[kxa], D[kya][:, 0])
ciro = bs.TUsignal(D[kxo], D[kyo][:, 0])
return(cira, ciro)
def pltcir(self, itx=1, irx=1, mode='linear', noise=False, color='b',format='a',fig=[],ax=[]):
""" plot Channel Impulse Response
Parameters
----------
itx : Tx index
irx : Rx index
mode : str
{'linear','dB'}
noise : boolean
color : string
default 'b'
>>> from pylayers.simul.simulem import *
>>> S = Simul()
>>> S.load('where2.ini')
>>> S.run(1,1)
>>> S.pltcir(1,1,mode='linear',noise=False,color='k')
"""
if fig ==[]:
fig = plt.gcf()
#if ax==[]:
# ax = fig.gca()
_filecir = self.dcir[itx][irx] + '.mat'
filecir = pyu.getlong(_filecir, pstruc['DIRCIR']+'/Tx' + str('%0.3d' % itx))
D = spio.loadmat(filecir)
ax = fig.add_subplot('211')
fig,ax=self.show(itx, irx,fig=fig,ax=ax)
ax=fig.add_subplot('212')
if 'a' in format :
kxa = 't'
kya = 'cir'
ta = D[kxa]
Tobs = ta[-1] - ta[0]
te = ta[1] - ta[0]
if noise:
na = bs.Noise(Tobs + te, 1. / te)
naf = na.gating(4.493, 0.5)
cira = bs.TUsignal(ta, D[kya][:, 0])
if 'o' in format:
kxo = 'to' + str(irx)
kyo = 'ciro' + str(irx)
to = D[kxo]
Tobs = to[-1] - to[0]
te = to[1] - to[0]
if noise:
no = bs.Noise(Tobs + te, 1. / te)
nof = no.gating(4.493, 0.5)
ciro = bs.TUsignal(to, D[kyo][:, 0])
if mode == 'linear':
#plt.plot(ta,naf.y,color='k',label='Noise')
plt.plot(ta, D[kya], label='Rx ' + str(irx), color=color)
plt.xlabel('Time (ns)')
'''if noise:
naf.plot(col='k')
cira.plot(col=color)'''
else:
'''if noise:
naf.plotdB(col='k')
cira.plotdB()'''
plt.plot(ta, 20 * np.log10(abs(D[kya])), label='Rx ' + str(irx), color=color)
plt.xlabel('Time (ns)')
# plt.legend()
plt.show()
#plt.savefig('Tx'+str(itx),format=pdf,dpi=300)
def scatter(self, itx, irx, values,
cmap=plt.cm.gray,
s=30,
spl=221,
title='',
vaxis=((-30, 10, 2, 18)),
vmin=0,
vmax=1,
colbool=False,
cblabel='dB'):
"""
Parameters
----------
itx
irx
values
cmap
s
spl
title
vaxis
vmin
vmax
colbool
clabel
"""
fig = plt.gcf()
ax = fig.add_subplot(spl)
xtx = self.tx.position[itx, 0]
ytx = self.tx.position[itx, 1]
xrx = self.rx.position[irx, 0]
yrx = self.rx.position[irx, 1]
self.L.display['title'] = title
self.L.showGs(ax)
for furk in siradel.siradel_furniture.keys():
fur = siradel.siradel_furniture[furk]
if fur.Matname == 'METAL':
fur.show(fig, ax)
#self.show(furniture=True)
plt.axis(vaxis)
b1 = ax.scatter(xtx, ytx, s=s, c=values, cmap=cmap,
linewidths=0, vmin=vmin, vmax=vmax)
ax.scatter(xrx, yrx, s=30, c='b', linewidths=0)
if colbool:
cb = colorbar(b1)
cb.set_label(cblabel, fontsize=14)
return(b1)
def info(self, itx=[], irx=[]):
""" display simulation information
Parameters
----------
itx : Tx index
irx : Rx index
"""
print self.filesimul
print '------------------------------------------'
try:
print "Layout Info : \n", self.L.info()
except:
print "provide a Layout in the simulation : S.L "
print ">>> S.layout(filename.str) "
print "or "
print ">>> S.layout(filename.str2 "
print "or "
print ">>> S.layout(filename.str,filematini,filematini) "
print "default files exists for filematini and fileslabini "
return
try:
print "Tx Info :\n", self.tx.info()
except:
print "provide a tx in the simulation : S.tx "
return
try:
print "Rx Info :\n", self.rx.info()
except:
print "provide a rx in the simulation : S.rx "
return
# print "Tx : ",self.tx.points[itx]
print "Rx : ", self.rx.points[itx]
print "Delay (ns) :", self.delay(itx, irx)
print "Distance (m) :", 0.3 / self.delay(itx, irx)
print ""
if itx in self.dlch.keys():
print "-----"
print "Launching "
print "-----"
print " ", self.dlch[itx]
if irx in self.dtra[itx].keys():
print "-----"
print "Tracing "
print "-----"
print " ", self.dtra[itx][irx]
gr = GrRay3D()
gr.load(self.dtra[itx][irx], self.L)
gr.info()
if irx in self.dtud[itx].keys():
print "-----"
print "Tud parameters "
print "-----"
print " ", self.dtud[itx][irx]
print " ", self.dtang[itx][irx]
print " ", self.drang[itx][irx]
gt = GrRay3D.GrRayTud()
gt.load(self.dtud[itx][irx],
self.dtang[itx][irx],
self.drang[itx][irx], self.sl)
if irx in self.dtauk[itx].keys():
print self.dtauk[itx][irx]
print self.dfield[itx][irx]
VC = self.VC(itx, irx)
if irx in self.dcir[itx].keys():
print self.dcir[itx][irx]
def info2(self):
for i, j in enumerate(self.__dict__.keys()):
print j, ':', self.__dict__.values()[i]
def filtray(self, itx, irx, tau0, tau1, col='b'):
""" filter rays
Parameters
----------
itx :
irx :
tau0 :
tau1 :
col :
Display ray and nstr
"""
gr = GrRay3D()
gr.load(self.dtra[itx][irx], self.L)
self.L.display['Thin'] = True
self.L.display['Node'] = False
self.L.display['NodeNum'] = False
self.L.display['EdgeNum'] = False
plt.axis('scaled')
#self.L.show(fig,ax,nodelist,seglist)
self.L.showGs()
delays = gr.delay()
rayset = np.nonzero((delays >= tau0) & (delays <= tau1))[0]
fig = plt.gcf()
ax = fig.get_axes()[0]
gr.show(ax, rayset, col=col, node=False)
plt.title('Tx' + str(itx) + '-Rx' + str(irx) + ' : ' + str(
tau0) + ' < tau < ' + str(tau1))
def showray(self, itx, irx, iray=np.array([]), fig=[], ax=[]):
""" show layout and rays for a radio link
Parameters
----------
itx : tx index
irx : rx index
iray : list of rays to be displayed ndarray
"""
#if ax==[]:
# fig = plt.figure()
# ax = fig.add_subplot('111')
gr = GrRay3D()
gr.load(self.dtra[itx][irx], self.L)
if len(iray == 1):
ray = gr.ray3d[iray[0]]
nstr = ray.nstr[1:-1]
uneg = np.nonzero(nstr < 0)
upos = np.nonzero((nstr > 0) & (nstr <= self.L.Ne))
uceil = np.nonzero(nstr == self.L.Ne + 1)
ufloor = np.nonzero(nstr == self.L.Ne + 2)
#seglist = nstr[upos[0]]-1
#nodelist = -nstr[uneg[0]]-1
#seglist2 = S.L.segpt(nodelist)
self.L.display['Thin'] = True
self.L.display['Node'] = False
self.L.display['NodeNum'] = False
self.L.display['EdgeNum'] = False
#self.L.show(fig,ax)
#print ray.nn
#print len(ray.nstr)
#print ray.nstr
#print nodelist
#print seglist
#print seglist2
#seglist = hstack((seglist,seglist2))
self.L.display['Node'] = False
self.L.display['Thin'] = False
self.L.display['NodeNum'] = True
self.L.display['EdgeNum'] = True
plt.axis('scaled')
#self.L.show(fig,ax,nodelist,seglist)
fig, ax = self.L.showGs(show=False)
gr.show(ax, iray, col='b', node=False)
if len(iray) == 1:
plt.title(str(nstr))
else:
plt.title('Tx' + str(itx) + '-Rx' + str(irx) +
' ' + str(min(iray)) + ' ' + str(max(iray)))
def show3l(self, itx, irx):
""" geomview display of a specific link
g = S.show3l(itx,irx)
Parameters
----------
itx
transmitter index
irx
receiver index
"""
filetra = self.dtra[itx][irx]
gr = GrRay3D()
gr.load(filetra, self.L)
gr.show3()
return(gr)
def _show3(self,rays=[],newfig = False,**kwargs):
""" display of the simulation configuration
using Mayavi
Parameters
----------
rays: Ray3d object :
display the rays of the simulation
newfig : boolean (default : False)
kwargs of Rays.show3()
see also
--------
pylayers.gis.layout
pylayers.antprop.antenna
pylayers.antprop.rays
"""
Atx = self.tx.A
Arx = self.rx.A
Ttx = self.tx.orientation
Trx = self.rx.orientation
ptx = self.tx.position
prx = self.rx.position
self.L._show3(newfig=False,opacity=0.7)
Atx._show3(T=Ttx.reshape(3,3),po=ptx,
title=False,colorbar=False,newfig=False)
Arx._show3(T=Trx.reshape(3,3),po=prx,
title=False,colorbar=False,newfig=False)
if rays != []:
rays._show3(**kwargs)
def show3(self,rays=[],**kwargs):
""" geomview display of the simulation configuration
Parameters
----------
centered : boolean
center the scene if True
bdis : boolean
display local basis
"""
try:
self.tx.save()
except:
print('tx set is no defined')
try:
self.rx.save()
except:
print('rx set is no defined')
_filename = self.filesimul.replace('.ini', '.off')
filename = pyu.getlong(_filename, pstruc['DIRGEOM'])
fo = open(filename, "w")
fo.write("LIST\n")
try:
sttx = "{<" + self.tx.filegeom + "}\n"
except:
sttx = "\n"
try:
strx = "{<" + self.rx.filegeom + "}\n"
except:
strx = "\n"
try:
stst = "{<" + self.L.filegeom + "}\n"
except:
stst = "\n"
fo.write(sttx)
fo.write(strx)
fo.write(stst)
fo.write("{</usr/share/geomview/geom/xyz.vect}\n")
if rays !=[]:
kwargs['bdis']=False
kwargs['L']=self.L
kwargs['centered']=False
fo.write("{<" + rays.show3(**kwargs) + "}")
fo.close()
command = "geomview -nopanel -b 1 1 1 " + filename + " 2>/dev/null &"
os.system(command)
def run(self, link, cirforce=True,verbose=False,cutoff=4):
""" run the simulation for 1 tx and a set of rx
Parameters
----------
itx : tx index
srx : list of rx index
cirforce : boolean
Warnings
--------
index point start with 1
Example
-------
>>> from pylayers.simul.simulem import *
>>> itx = 1
>>> srx = [1,2,3]
>>> S = Simul()
>>> S.load('where2.ini')
>>> out = S.run(itx,srx)
"""
# get file prefix
link = DLink(force=True,L=self.L,fGHz=self.fGHz, verbose=False)
prefix = self.filesimul.replace('.ini', '')
lsig = []
for k,il in enumerate(link):
tx = self.tx.points[il[0]]
rx = self.rx.points[il[1]]
ctx = S.L.pt2cy(tx)
crx = S.L.pt2cy(rx)
_filecir = prefix +'-cir-'+str(k)+'-'+str(link)+'-'+str((ctx,crx))
D = {}
D['Tx'] = tx
D['Rx'] = rx
link.a = tx
link.b = rx
ak,tauk = link.eval(verbose=False,diffrction=True)
if (ctx,crx) not in lsig:
Si = signature.Signatures(S.L,ctx,crx)
#
# Change the run number depending on
# the algorithm used for signature determination
#
Si.run4(cutoff=cutoff)
# keep track and save signature
_filesir = prefix + '-sig-'+str((ctx,crx))
fd = open(filesig,'w')
pickle.dump(Si,filesig)
fd.close()
lsig.appeng((ctx,crx))
Si.dump(S.L,(ctx,crx))
r2d = Si.rays(tx,rx)
r2d.show(S.L)
r3d = r2d.to3D()
r3d.locbas(S.L)
r3d.fillinter(S.L)
Ct = r3d.eval(S.freq)
sco = Ct.prop2tran(a='theta',b='phi')
sca = Ct.prop2tran(a=S.tx.A,b=S.rx.A)
ciro = sco.applywavB(self.wav.sfg)
cira = sca.applywavB(self.wav.sfg)
D['to'] = ciro.x
D['ciro'] = ciro.y
D['t'] = cira.x
D['cir'] = cira.y
filename = pyu.getlong(_filename, cirdir)
spio.savemat(filename, D)
def delay(self, itx, irx):
""" calculate LOS link delay
Parameters
----------
itx
irx
Returns
-------
delay : float
delay in ns
"""
tx = self.tx.points[itx]
rx = self.rx.points[irx]
df = tx - rx
dist = np.sqrt(np.dot(df, df))
return(dist / 0.3)
def ishow(self):
"""
interactive show of trajectories
Examples
--------
.. plot::
:include-source:
>>> from pylayers.mobility.trajectory import *
>>> T=Trajectories()
>>> T.loadh5()
>>> T.ishow()
"""
fig, ax = plt.subplots()
fig.subplots_adjust(bottom=0.2, left=0.3)
t = np.arange(0, len(self[0].index), self[0].ts)
L = Layout(self.Lfilename)
fig, ax = L.showG('s', fig=fig, ax=ax)
valinit = 0
lines = []
labels = []
colors = "bgrcmykw"
for iT, T in enumerate(self):
if T.typ == 'ag':
lines.extend(
ax.plot(T['x'][0:valinit],
T['y'][0:valinit],
'o',
color=colors[iT],
visible=True))
labels.append(T.name + ':' + T.ID)
else:
lines.extend(
ax.plot(T['x'][0],
T['y'][0],
'^',
ms=12,
color=colors[iT],
visible=True))
labels.append(T.name + ':' + T.ID)
t = self[0].time()
# init boolean value for visible in checkbutton
blabels = [True] * len(labels)
########
# slider
########
slider_ax = plt.axes([0.1, 0.1, 0.8, 0.02])
slider = Slider(slider_ax,
"time",
self[0].tmin,
self[0].tmax,
valinit=valinit,
color='#AAAAAA')
def update(val):
if val >= 1:
pval = np.where(val > t)[0]
ax.set_title(str(
self[0].index[pval[-1]].time())[:11].ljust(12),
loc='left')
for iT, T in enumerate(self):
if T.typ == 'ag':
lines[iT].set_xdata(T['x'][pval])
lines[iT].set_ydata(T['y'][pval])
fig.canvas.draw()
slider.on_changed(update)
########
# choose
########
rax = plt.axes([0.02, 0.5, 0.3, 0.2], aspect='equal')
# check (ax.object, name of the object , bool value for the obsject)
check = CheckButtons(rax, labels, tuple(blabels))
def func(label):
i = labels.index(label)
lines[i].set_visible(not lines[i].get_visible())
fig.canvas.draw()
check.on_clicked(func)
fig.canvas.draw()
plt.show(fig)
def load(self, _filesimul):
""" load a simulation configuration file
each transmiter simulation results in the creation of an .ini file
with the following sections
related to the results obtained for different receivers
Parameters
----------
_filesimul : file in the simul directory of the Project
"""
self.filesimul = _filesimul
filesimul = pyu.getlong(self.filesimul, "ini")
self.config.read(filesimul)
sections = self.config.sections()
try:
_filetx = self.config.get("files", "tx")
except:
raise NameError('Error in section tx from '+ _filesimul)
try:
_filerx = self.config.get("files", "rx")
except:
raise NameError('Error in section rx from '+ _filesimul)
try:
_fileanttx = self.config.get("files", "txant")
except:
raise NameError('Error in section txant from '+ _filesimul)
try:
_fileantrx = self.config.get("files", "rxant")
except:
raise NameError('Error in section rxant from '+ _filesimul)
try:
self.tx = RadioNode(name = '',
typ = 'tx',
_fileini = _filetx,
_fileant = _fileanttx,
_filestr = self.filestr)
self.rx = RadioNode(name = '',
typ = 'rx',
_fileini = _filerx,
_fileant = _fileantrx,
_filestr = self.filestr)
except:
raise NameError('Error during Radionode load')
#
# Load Layout
#
try:
self.L = Layout(self.filestr)
except:
raise NameError('Layout load error')
#
# Frequency base
#
if "frequency" in sections:
try:
self.fGHz = np.linspace(float(self.config.getfloat("frequency", "fghzmin")),
float(self.config.getfloat("frequency", "fghzmax")),
int(self.config.getint("frequency", "nf")),
endpoint=True)
except:
raise NameError('Error in section frequency from '+ _filesimul)
# update .freq file in tud directory
filefreq = pyu.getlong(self.filefreq, pstruc['DIRTUD'])
fd = open(filefreq, "w")
chaine = self.config.get("frequency", "fghzmin") + ' ' + \
self.config.get("frequency", "fghzmax") + ' ' + \
self.config.get("frequency", "nf")
fd.write(chaine)
fd.close
#
# Simulation Progress
#
self.output = {}
if "output" in sections:
for itx in self.config.options("output"):
_filename = self.config.get("output", itx)
self.dout[int(itx)] = _filename
filename = pyu.getlong(_filename, "output")
output = ConfigParser.ConfigParser()
output.read(filename)
secout = output.sections()
self.dtra[int(itx)] = {}
self.dtud[int(itx)] = {}
self.dtang[int(itx)] = {}
self.drang[int(itx)] = {}
self.dtauk[int(itx)] = {}
self.dfield[int(itx)] = {}
self.dcir[int(itx)] = {}
if "launch" in secout:
self.progress = 1
keys_launch = output.options("launch")
for kl in keys_launch:
self.dlch[int(kl)] = output.get("launch", kl)
if "trace" in secout:
self.progress = 2
keys_tra = output.options("trace")
for kt in keys_tra:
self.dtra[int(itx)][int(kt)] = output.get("trace", kt)
if "tang" in secout:
self.progress = 3
keys_tang = output.options("tang")
for kt in keys_tang:
self.dtang[int(itx)][int(kt)] = output.get("tang", kt)
self.drang[int(itx)][int(kt)] = output.get("rang", kt)
self.dtud[int(itx)][int(kt)] = output.get("tud", kt)
if "field" in secout:
self.progress = 4
keys_field = output.options("field")
for kt in keys_field:
self.dfield[int(itx)][int(kt)] = output.get(
"field", kt)
self.dtauk[int(itx)][int(kt)] = output.get("tauk", kt)
if "cir" in secout:
self.progress = 5
keys_cir = output.options("cir")
for kt in keys_cir:
self.dcir[int(itx)][int(kt)] = output.get("cir", kt)
self.output[int(itx)] = output
#
# Waveform section
#
self.wav = wvf.Waveform()
self.wav.read(self.config)
class Simul(SimulationRT): # Sympy 2
#class Simul(sympy.RealtimeEnvironment):
"""
Attributes
----------
config : config parser instance
sim_opt : dictionary of configuration option for simulation
ag_opt : dictionary of configuration option for agent
lay_opt : dictionary of configuration option for layout
meca_opt : dictionary of configuration option for mecanic
net_opt : dictionary of configuration option for network
loc_opt : dictionary of configuration option for localization
save_opt : dictionary of configuration option for save
sql_opt : dictionary of configuration option for sql
Notes
------
All the prvious dictionnary are obtained from the chosen simulnet.ini file
in the project directory
"""
def __init__(self):
SimulationRT.__init__(self) #Sympy 2
#sympy.RealtimeEnvironment.__init__(self) #simpy 3
self.initialize()
self.config = ConfigParser.ConfigParser()
filename = pyu.getlong('simulnet.ini','ini')
self.config.read(filename)
self.sim_opt = dict(self.config.items('Simulation'))
self.lay_opt = dict(self.config.items('Layout'))
self.meca_opt = dict(self.config.items('Mechanics'))
self.net_opt = dict(self.config.items('Network'))
self.loc_opt = dict(self.config.items('Localization'))
self.save_opt = dict(self.config.items('Save'))
self.sql_opt = dict(self.config.items('Mysql'))
self.verbose = str2bool(self.sim_opt['verbose'])
if str2bool(self.net_opt['ipython_nb_show']):
self.verbose = False
self.roomlist=[]
self.create()
def create_layout(self):
"""
Create Layout in Simpy the_world thanks to Tk backend
"""
self.the_world = world(width = float(self.lay_opt['the_world_width']),
height = float(self.lay_opt['the_world_height']),
scale=float(self.lay_opt['the_world_scale']))
# tk = self.the_world.tk
# canvas, x_, y_ = tk.canvas, tk.x_, tk.y_
# canvas.create_rectangle(x_(-1), y_(-1), x_(100), y_(100), fill='white')
_filename = self.lay_opt['filename']
#sl=Slab.SlabDB(self.lay_opt['slab'],self.lay_opt['slabmat'])
#G1 = Graph.Graph(sl=sl,filename=_filename)
self.L = Layout(_filename)
#if _filename.split('.')[1] == 'str':
# self.L.loadstr(_filename)
#elif _filename.split('.')[1] == 'str2':
# self.L.loadstr2(_filename)
#elif _filename.split('.')[1] == 'ini':
# self.L.loadini(_filename)
try:
self.L.dumpr()
print 'Layout graphs are loaded from ',basename,'/struc/ini'
except:
#self.L.sl = sl
#self.L.loadGr(G1)
print 'This is the first time the layout file is used\
Layout graphs are curently being built, it may take few minutes.'
self.L.build()
self.L.dumpw()
x_offset = 0 # float(self.lay_opt['x_offset'])
y_offset = 0 # float(self.lay_opt['y_offset'])
for ks in self.L.Gs.pos.keys():
self.L.Gs.pos[ks] = (self.L.Gs.pos[ks][0] +
x_offset, self.L.Gs.pos[ks][1] + y_offset)
for ks in self.L.Gr.pos.keys():
self.L.Gr.pos[ks] = (self.L.Gr.pos[ks][0] +
x_offset, self.L.Gr.pos[ks][1] + y_offset)
for ks in self.L.Gw.pos.keys():
self.L.Gw.pos[ks] = (self.L.Gw.pos[ks][0] +
x_offset, self.L.Gw.pos[ks][1] + y_offset)
#
# Create Layout
#
walls = self.L.thwall(0, 0)
for wall in walls:
points = []
# for point in wall:
# points.append(x_(point[0]))
# points.append(y_(point[1]))
# canvas.create_polygon(points, fill='maroon', outline='black')
for ii in range(0, len(wall) - 1):
self.the_world.add_wall(wall[ii], wall[ii + 1])
def create_agent(self):
"""
create simulation's Agents
..todo:: change lAg list to a dictionnary ( modification in show.py too)
"""
self.lAg = []
agents=[]
Cf = ConfigParser.ConfigParser()
Cf.read(pyu.getlong('agent.ini','ini'))
agents=eval(dict(Cf.items('used_agent'))['list'])
for i, ag in enumerate(agents):
ag_opt = dict(Cf.items(ag))
self.lAg.append(Agent(
ID=ag_opt['id'],
name=ag_opt['name'],
type=ag_opt['type'],
pos=np.array(eval(ag_opt['pos'])),
roomId=int(ag_opt['roomid']),
froom=eval(ag_opt['froom']),
meca_updt=float(self.meca_opt['mecanic_update_time']),
wait=float(ag_opt['wait']),
cdest=eval(self.meca_opt['choose_destination']),
loc=str2bool(self.loc_opt['localization']),
loc_updt=float(self.loc_opt['localization_update_time']),
loc_method=eval(self.loc_opt['method']),
Layout=self.L,
net=self.net,
epwr=dict([(eval((ag_opt['rat']))[ep],eval((ag_opt['epwr']))[ep]) for ep in range(len(eval((ag_opt['rat']))))]),
sens=dict([(eval((ag_opt['rat']))[ep],eval((ag_opt['sensitivity']))[ep]) for ep in range(len(eval((ag_opt['rat']))))]),
world=self.the_world,
RAT=eval(ag_opt['rat']),
save=eval(self.save_opt['save']),
gcom=self.gcom,
comm_mode=eval(self.net_opt['communication_mode']),
sim=self))
#
if self.lAg[i].type == 'ag':
self.activate(self.lAg[i].meca,
self.lAg[i].meca.move(), 0.0)
def create_EMS(self):
"""
Electromagnetic Solver object
"""
self.EMS = EMSolver(L=self.L)
def create_network(self):
"""
create the whole network
"""
self.net = Network(EMS=self.EMS)
self.gcom=Gcom(net=self.net,sim=self)
self.create_agent()
# create network
self.net.create()
# create All Personnal networks
for n in self.net.nodes():
self.net.node[n]['PN'].get_RAT()
self.net.node[n]['PN'].get_SubNet()
self.gcom.create()
# create Process Network
self.Pnet = PNetwork(net=self.net,
net_updt_time=float(self.net_opt['network_update_time']),
L=self.L,
sim=self,
show_sg=str2bool(self.net_opt['show_sg']),
disp_inf=str2bool(self.net_opt['dispinfo']),
save=eval(self.save_opt['save']))
self.activate(self.Pnet, self.Pnet.run(), 0.0)
def create_visual(self):
""" Create visual Tk process
"""
self.visu = Updater(
interval=float(self.sim_opt['show_interval']), sim=self)
self.activate(self.visu, self.visu.execute(), 0.0)
def create(self):
""" Create the simulation
This method is called at the end of __init__
"""
# this is just to redump the database at each simulation
if 'mysql' in self.save_opt['save']:
if str2bool(self.sql_opt['dumpdb']):
os.popen('mysql -u ' + self.sql_opt['user'] + ' -p ' + self.sql_opt['dbname'] +\
'< /private/staff/t/ot/niamiot/svn2/devel/simulator/pyray/SimWHERE2.sql' )
## TODO supprimer la ref en dur
if 'txt' in self.save_opt['save']:
pyu.writeDetails(self)
if os.path.isfile(basename+'/output/Nodes.txt'):
print 'would you like to erase previous txt files ?'
A=raw_input()
if A == 'y':
for f in os.listdir(basename+'/output/'):
try:
fi,ext=f.split('.')
if ext == 'txt':
os.remove(basename+'/output/'+f)
except:
pass
self.create_layout()
self.create_EMS()
self.create_network()
if str2bool(self.sim_opt['showtk']):
self.create_visual()
self.create_show()
if str2bool(self.save_opt['savep']):
self.save=Save(L=self.L,net=self.net,sim=self)
self.activate(self.save,self.save.run(),0.0)
# if str2bool(self.save_opt['savep']):
# self.save=Save(net=self.net,
# L= self.L,
# sim = self)
# self.activate(self.save, self.save.run(), 0.0)
def create_show(self):
"""
"""
plt.ion()
fig_net = 'network'
fig_table = 'table'
if str2bool(self.net_opt['show']):
if str2bool(self.net_opt['ipython_nb_show']):
notebook=True
else:
notebook =False
self.sh = ShowNet(net=self.net, L=self.L,sim=self,fname=fig_net,notebook=notebook)
self.activate(self.sh,self.sh.run(),1.0)
if str2bool(self.net_opt['show_table']):
self.sht = ShowTable(net=self.net,lAg=self.lAg,sim=self,fname=fig_table)
self.activate(self.sht,self.sht.run(),1.0)
def runsimul(self):
""" Run simulation
"""
self.simulate(until=float(self.sim_opt['duration']),
real_time=True,
rel_speed=float(self.sim_opt['speedratio']))
# self.simulate(until=float(self.sim_opt['duration']))
if self.save_opt['savep']:
print 'Processing save results, please wait'
self.save.mat_export()
from pylayers.gis.layout import Layout
import matplotlib.pyplot as plt
import doctest
#doctest.testmod(layout)
#L = Layout('TA-Office.ini')
L = Layout('DLR.ini')
try:
L.dumpr()
except:
L.build()
L.dumpw()
#L.editor()
fig = plt.gcf()
#ax1 = fig.add_subplot(221)
ax1 = fig.add_subplot(321)
L.display['thin']=True
fig,ax1 = L.showGs(fig=fig,ax=ax1)
#L.display['edlabel']=True
#L.display['edlblsize']=50
# display selected segments
L.display['thin']=True
L.showG(fig=fig,ax=ax1,graph='t')
fig = plt.gcf()
ax1 = plt.gca()
fig,ax1 = L.showGs(fig=fig,ax=ax1,edlist=[125],width=4)
ax11 = fig.add_subplot(322)
L.showG(fig=fig,ax=ax11,graph='')
#plt.savefig('graphGs.png')
class Coverage(PyLayers):
""" Handle Layout Coverage
Methods
-------
creategrid()
create a uniform grid for evaluating losses
cover()
run the coverage calculation
showPower()
display the map of received power
showLoss()
display the map of losses
Attributes
----------
All attributes are read from fileini ino the ini directory of the
current project
_fileini
default coverage.ini
L : a Layout
nx : number of point on x
ny : number of point on y
tx : transmitter position
txpe : transmitter power emmission level
show : boolean for automatic display power map
na : number of access point
"""
def __init__(self, _fileini='coverage.ini'):
""" object constructor
Parameters
----------
_fileini : string
name of the configuration file
Notes
-----
Coverage is described in an ini file.
Default file is coverage.ini and is placed in the ini directory of the current project.
"""
self.config = ConfigParser.ConfigParser()
self.config.read(pyu.getlong(_fileini, pstruc['DIRSIMUL']))
self.layoutopt = dict(self.config.items('layout'))
self.gridopt = dict(self.config.items('grid'))
self.apopt = dict(self.config.items('ap'))
self.rxopt = dict(self.config.items('rx'))
self.showopt = dict(self.config.items('show'))
# get the Layout
filename = self.layoutopt['filename']
if filename.endswith('ini'):
self.typ = 'indoor'
self.L = Layout(filename)
# get the receiving grid
self.nx = eval(self.gridopt['nx'])
self.ny = eval(self.gridopt['ny'])
self.mode = self.gridopt['mode']
assert self.mode in ['file', 'full',
'zone'], "Error reading grid mode "
self.boundary = eval(self.gridopt['boundary'])
self.filespa = self.gridopt['file']
#
# create grid
#
self.creategrid(mode=self.mode,
boundary=self.boundary,
_fileini=self.filespa)
self.dap = {}
for k in self.apopt:
kwargs = eval(self.apopt[k])
ap = std.AP(**kwargs)
self.dap[eval(k)] = ap
try:
self.L.Gt.nodes()
except:
pass
try:
self.L.dumpr()
except:
self.L.build()
self.L.dumpw()
else:
self.typ = 'outdoor'
self.E = ez.Ezone(filename)
self.E.loadh5()
self.E.rebase()
# The frequency is fixed from the AP nature
self.fGHz = np.array([])
#self.fGHz = eval(self.txopt['fghz'])
#self.tx = np.array((eval(self.txopt['x']),eval(self.txopt['y'])))
#self.ptdbm = eval(self.txopt['ptdbm'])
#self.framelengthbytes = eval(self.txopt['framelengthbytes'])
# receiver section
#self.rxsens = eval(self.rxopt['sensitivity'])
self.temperaturek = eval(self.rxopt['temperaturek'])
self.noisefactordb = eval(self.rxopt['noisefactordb'])
# show section
self.bshow = str2bool(self.showopt['show'])
def __repr__(self):
st = ''
if self.typ == 'indoor':
st = st + 'Layout file : ' + self.L._filename + '\n\n'
st = st + '-----list of Access Points ------' + '\n'
for k in self.dap:
st = st + self.dap[k].__repr__() + '\n'
st = st + '-----Rx------' + '\n'
st = st + 'temperature (K) : ' + str(self.temperaturek) + '\n'
st = st + 'noisefactor (dB) : ' + str(self.noisefactordb) + '\n\n'
st = st + '--- Grid ----' + '\n'
st = st + 'mode : ' + str(self.mode) + '\n'
if self.mode <> 'file':
st = st + 'nx : ' + str(self.nx) + '\n'
st = st + 'ny : ' + str(self.ny) + '\n'
if self.mode == 'zone':
st = st + 'boundary (xmin,ymin,xmax,ymax) : ' + str(
self.boundary) + '\n\n'
if self.mode == 'file':
st = st + ' filename : ' + self.filespa + '\n'
return (st)
def creategrid(self, mode='full', boundary=[], _fileini=''):
""" create a grid
Parameters
----------
full : boolean
default (True) use all the layout area
boundary : (xmin,ymin,xmax,ymax)
if full is False the boundary argument is used
"""
if mode == "file":
self.RN = RadioNode(name='',
typ='rx',
_fileini=_fileini,
_fileant='def.vsh3')
self.grid = self.RN.position[0:2, :].T
else:
if mode == "full":
mi = np.min(self.L.Gs.pos.values(), axis=0) + 0.01
ma = np.max(self.L.Gs.pos.values(), axis=0) - 0.01
if mode == "zone":
assert boundary <> []
mi = np.array([boundary[0], boundary[1]])
ma = np.array([boundary[2], boundary[3]])
x = np.linspace(mi[0], ma[0], self.nx)
y = np.linspace(mi[1], ma[1], self.ny)
self.grid = np.array((list(np.broadcast(*np.ix_(x, y)))))
self.ng = self.grid.shape[0]
def where1(self):
"""
Unfinished : Not sure this is the right place (too specific)
"""
M1 = UWBMeasure(1)
self.dap = {}
self.dap[1] = {}
self.dap[2] = {}
self.dap[3] = {}
self.dap[4] = {}
self.dap[1]['p'] = M1.rx[1, 0:2]
self.dap[2]['p'] = M1.rx[1, 0:2]
self.dap[3]['p'] = M1.rx[1, 0:2]
self.dap[4]['p'] = M1.rx[1, 0:2]
for k in range(300):
try:
M = UWBMeasure(k)
tx = M.tx
self.grid = np.vstack((self.grid, tx[0:2]))
D = M.rx - tx[np.newaxis, :]
D2 = D * D
dist = np.sqrt(np.sum(D2, axis=1))[1:]
Emax = M.Emax()
Etot = M.Etot()[0]
try:
td1 = np.hstack((td1, dist[0]))
td2 = np.hstack((td2, dist[1]))
td3 = np.hstack((td3, dist[2]))
td4 = np.hstack((td4, dist[3]))
te1 = np.hstack((te1, Emax[0]))
te2 = np.hstack((te2, Emax[1]))
te3 = np.hstack((te3, Emax[2]))
te4 = np.hstack((te4, Emax[3]))
tt1 = np.hstack((tt1, Etot[0]))
tt2 = np.hstack((tt2, Etot[1]))
tt3 = np.hstack((tt3, Etot[2]))
tt4 = np.hstack((tt4, Etot[3]))
#tdist = np.hstack((tdist,dist))
#te = np.hstack((te,Emax))
except:
td1 = np.array(dist[0])
td2 = np.array(dist[1])
td3 = np.array(dist[2])
td4 = np.array(dist[3])
te1 = np.array(Emax[0])
te2 = np.array(Emax[1])
te3 = np.array(Emax[2])
te4 = np.array(Emax[3])
tt1 = np.array(Etot[0])
tt2 = np.array(Etot[1])
tt3 = np.array(Etot[2])
tt4 = np.array(Etot[3])
except:
pass
def cover(self, sinr=True, snr=True, best=True):
""" run the coverage calculation
Parameters
----------
sinr : boolean
snr : boolean
best : boolean
Examples
--------
.. plot::
:include-source:
>>> from pylayers.antprop.coverage import *
>>> C = Coverage()
>>> C.cover()
>>> f,a=C.show(typ='sinr',figsize=(10,8))
>>> plt.show()
Notes
-----
self.fGHz is an array, it means that Coverage is calculated at once
for a whole set of frequencies. In practice, it would be the center
frequency of a given standard channel.
This function is calling `loss.Losst` which calculates Losses along a
straight path.
In a future implementation we will
abstract the EM solver in order to make use of other calculation
approaches as a full or partial Ray Tracing.
The following members variables are evaluated :
+ freespace Loss @ fGHz PL() PathLoss (shoud be rename FS as free space) $
+ prdbmo : Received power in dBm .. math:`P_{rdBm} =P_{tdBm} - L_{odB}`
+ prdbmp : Received power in dBm .. math:`P_{rdBm} =P_{tdBm} - L_{pdB}`
+ snro : SNR polar o (H)
+ snrp : SNR polar p (H)
See Also
--------
pylayers.antprop.loss.Losst
pylayers.antprop.loss.PL
"""
#
# select active AP
#
lactiveAP = []
try:
del self.aap
del self.ptdbm
except:
pass
self.kB = 1.3806503e-23 # Boltzmann constant
for iap in self.dap:
if self.dap[iap]['on']:
lactiveAP.append(iap)
fGHz = self.dap[iap].s.fcghz
# The frequency band is set here
self.fGHz = np.unique(np.hstack((self.fGHz, fGHz)))
apchan = self.dap[iap]['chan']
try:
self.aap = np.vstack((self.aap, self.dap[iap]['p'][0:2]))
self.ptdbm = np.vstack(
(self.ptdbm, self.dap[iap]['PtdBm']))
self.bmhz = np.vstack(
(self.bmhz, self.dap[iap].s.chan[apchan[0]]['BMHz']))
except:
self.aap = self.dap[iap]['p'][0:2]
self.ptdbm = np.array(self.dap[iap]['PtdBm'])
self.bmhz = np.array(
self.dap[iap].s.chan[apchan[0]]['BMHz'])
PnW = np.array((10**(self.noisefactordb / 10.)) * self.kB *
self.temperaturek * self.bmhz * 1e6)
# Evaluate Noise Power (in dBm)
self.pndbm = np.array(10 * np.log10(PnW) + 30)
#lchan = map(lambda x: self.dap[x]['chan'],lap)
#apchan = zip(self.dap.keys(),lchan)
#self.bmhz = np.array(map(lambda x: self.dap[x[0]].s.chan[x[1][0]]['BMHz']*len(x[1]),apchan))
self.ptdbm = self.ptdbm.T
self.pndbm = self.pndbm.T
# creating all links
p = product(range(self.ng), lactiveAP)
#
# pa : access point
# pg : grid point
#
# 1 x na
for k in p:
pg = self.grid[k[0], :]
pa = np.array(self.dap[k[1]]['p'][0:2])
try:
self.pa = np.vstack((self.pa, pa))
except:
self.pa = pa
try:
self.pg = np.vstack((self.pg, pg))
except:
self.pg = pg
self.pa = self.pa.T
shpa = self.pa.shape
shpg = self.pg.shape
self.pa = np.vstack((self.pa, np.ones(shpa[1])))
self.pg = self.pg.T
self.pg = np.vstack((self.pg, np.ones(shpg[0])))
self.nf = len(self.fGHz)
# retrieving dimensions along the 3 axis
na = len(lactiveAP)
self.na = na
ng = self.ng
nf = self.nf
#Lwo,Lwp,Edo,Edp = loss.Losst(self.L,self.fGHz,self.pa,self.pg,dB=False)
Lwo, Lwp, Edo, Edp = loss.Losst(self.L,
self.fGHz,
self.pa,
self.pg,
dB=False)
self.Lwo = Lwo.reshape(nf, ng, na)
self.Edo = Edo.reshape(nf, ng, na)
self.Lwp = Lwp.reshape(nf, ng, na)
self.Edp = Edp.reshape(nf, ng, na)
freespace = loss.PL(self.fGHz, self.pa, self.pg, dB=False)
self.freespace = freespace.reshape(nf, ng, na)
# transmitting power
# f x g x a
# CmW : Received Power coverage in mW
self.CmWo = 10**(self.ptdbm[np.newaxis, ...] /
10.) * self.Lwo * self.freespace
self.CmWp = 10**(self.ptdbm[np.newaxis, ...] /
10.) * self.Lwp * self.freespace
if snr:
self.evsnr()
if sinr:
self.evsinr()
if best:
self.evbestsv()
def evsnr(self):
""" calculates signal to noise ratio
"""
NmW = 10**(self.pndbm / 10.)[np.newaxis, :]
self.snro = self.CmWo / NmW
self.snrp = self.CmWp / NmW
def evsinr(self):
""" calculates sinr
"""
# na : number of access point
na = self.na
# U : 1 x 1 x na x na
U = (np.ones((na, na)) - np.eye(na))[np.newaxis, np.newaxis, :, :]
# CmWo : received power in mW orthogonal polarization
# CmWp : received power in mW parallel polarization
ImWo = np.einsum('ijkl,ijl->ijk', U, self.CmWo)
ImWp = np.einsum('ijkl,ijl->ijk', U, self.CmWp)
NmW = 10**(self.pndbm / 10.)[np.newaxis, :]
self.sinro = self.CmWo / (ImWo + NmW)
self.sinrp = self.CmWp / (ImWp + NmW)
def evbestsv(self):
""" determine the best server map
Notes
-----
C.bestsv
"""
na = self.na
ng = self.ng
nf = self.nf
# find best server regions
Vo = self.CmWo
Vp = self.CmWp
self.bestsvo = np.empty(nf * ng * na).reshape(nf, ng, na)
self.bestsvp = np.empty(nf * ng * na).reshape(nf, ng, na)
for kf in range(nf):
MaxVo = np.max(Vo[kf, :, :], axis=1)
MaxVp = np.max(Vp[kf, :, :], axis=1)
for ka in range(na):
uo = np.where(Vo[kf, :, ka] == MaxVo)
up = np.where(Vp[kf, :, ka] == MaxVp)
self.bestsvo[kf, uo, ka] = ka + 1
self.bestsvp[kf, up, ka] = ka + 1
# def showEd(self,polar='o',**kwargs):
# """ shows a map of direct path excess delay
#
# Parameters
# ----------
#
# polar : string
# 'o' | 'p'
#
# Examples
# --------
#
# .. plot::
# :include-source:
#
# >> from pylayers.antprop.coverage import *
# >> C = Coverage()
# >> C.cover()
# >> C.showEd(polar='o')
#
# """
#
# if not kwargs.has_key('alphacy'):
# kwargs['alphacy']=0.0
# if not kwargs.has_key('colorcy'):
# kwargs['colorcy']='w'
# if not kwargs.has_key('nodes'):
# kwargs['nodes']=False
#
# fig,ax = self.L.showG('s',**kwargs)
# l = self.grid[0,0]
# r = self.grid[-1,0]
# b = self.grid[0,1]
# t = self.grid[-1,-1]
#
# cdict = {
# 'red' : ((0., 0.5, 0.5), (1., 1., 1.)),
# 'green': ((0., 0.5, 0.5), (1., 1., 1.)),
# 'blue' : ((0., 0.5, 0.5), (1., 1., 1.))
# }
# #generate the colormap with 1024 interpolated values
# my_cmap = m.colors.LinearSegmentedColormap('my_colormap', cdict, 1024)
#
# if polar=='o':
# prdbm=self.prdbmo
# if polar=='p':
# prdbm=self.prdbmp
#
#
#
# if polar=='o':
# mcEdof = np.ma.masked_where(prdbm < self.rxsens,self.Edo)
#
# cov=ax.imshow(mcEdof.reshape((self.nx,self.ny)).T,
# extent=(l,r,b,t),cmap = 'jet',
# origin='lower')
#
#
#
# # cov=ax.imshow(self.Edo.reshape((self.nx,self.ny)).T,
# # extent=(l,r,b,t),
# # origin='lower')
# titre = "Map of LOS excess delay, polar orthogonal"
#
# if polar=='p':
# mcEdpf = np.ma.masked_where(prdbm < self.rxsens,self.Edp)
#
# cov=ax.imshow(mcEdpf.reshape((self.nx,self.ny)).T,
# extent=(l,r,b,t),cmap = 'jet',
# origin='lower')
#
# # cov=ax.imshow(self.Edp.reshape((self.nx,self.ny)).T,
# # extent=(l,r,b,t),
# # origin='lower')
# titre = "Map of LOS excess delay, polar parallel"
#
# ax.scatter(self.tx[0],self.tx[1],linewidth=0)
# ax.set_title(titre)
#
# divider = make_axes_locatable(ax)
# cax = divider.append_axes("right", size="5%", pad=0.05)
# clb = fig.colorbar(cov,cax)
# clb.set_label('excess delay (ns)')
#
# if self.show:
# plt.show()
# return fig,ax
#
# def showPower(self,rxsens=True,nfl=True,polar='o',**kwargs):
# """ show the map of received power
#
# Parameters
# ----------
#
# rxsens : bool
# clip the map with rx sensitivity set in self.rxsens
# nfl : bool
# clip the map with noise floor set in self.pndbm
# polar : string
# 'o'|'p'
#
# Examples
# --------
#
# .. plot::
# :include-source:
#
# > from pylayers.antprop.coverage import *
# > C = Coverage()
# > C.cover()
# > C.showPower()
#
# """
#
# if not kwargs.has_key('alphacy'):
# kwargs['alphacy']=0.0
# if not kwargs.has_key('colorcy'):
# kwargs['colorcy']='w'
# if not kwargs.has_key('nodes'):
# kwargs['nodes']=False
# fig,ax = self.L.showG('s',**kwargs)
#
# l = self.grid[0,0]
# r = self.grid[-1,0]
# b = self.grid[0,1]
# t = self.grid[-1,-1]
#
# if polar=='o':
# prdbm=self.prdbmo
# if polar=='p':
# prdbm=self.prdbmp
#
## tCM = plt.cm.get_cmap('jet')
## tCM._init()
## alphas = np.abs(np.linspace(.0,1.0, tCM.N))
## tCM._lut[:-3,-1] = alphas
#
# title='Map of received power - Pt = ' + str(self.ptdbm) + ' dBm'+str(' fGHz =') + str(self.fGHz) + ' polar = '+polar
#
# cdict = {
# 'red' : ((0., 0.5, 0.5), (1., 1., 1.)),
# 'green': ((0., 0.5, 0.5), (1., 1., 1.)),
# 'blue' : ((0., 0.5, 0.5), (1., 1., 1.))
# }
#
# if not kwargs.has_key('cmap'):
# # generate the colormap with 1024 interpolated values
# cmap = m.colors.LinearSegmentedColormap('my_colormap', cdict, 1024)
# else:
# cmap = kwargs['cmap']
# #my_cmap = cm.copper
#
#
# if rxsens :
#
# ## values between the rx sensitivity and noise floor
# mcPrf = np.ma.masked_where((prdbm > self.rxsens)
# & (prdbm < self.pndbm),prdbm)
# # mcPrf = np.ma.masked_where((prdbm > self.rxsens) ,prdbm)
#
# cov1 = ax.imshow(mcPrf.reshape((self.nx,self.ny)).T,
# extent=(l,r,b,t),cmap = cm.copper,
# vmin=self.rxsens,origin='lower')
#
# ### values above the sensitivity
# mcPrs = np.ma.masked_where(prdbm < self.rxsens,prdbm)
# cov = ax.imshow(mcPrs.reshape((self.nx,self.ny)).T,
# extent=(l,r,b,t),
# cmap = cmap,
# vmin=self.rxsens,origin='lower')
# title=title + '\n black : Pr (dBm) < %.2f' % self.rxsens + ' dBm'
#
# else :
# cov=ax.imshow(prdbm.reshape((self.nx,self.ny)).T,
# extent=(l,r,b,t),
# cmap = cmap,
# vmin=self.pndbm,origin='lower')
#
# if nfl:
# ### values under the noise floor
# ### we first clip the value below the noise floor
# cl = np.nonzero(prdbm<=self.pndbm)
# cPr = prdbm
# cPr[cl] = self.pndbm
# mcPruf = np.ma.masked_where(cPr > self.pndbm,cPr)
# cov2 = ax.imshow(mcPruf.reshape((self.nx,self.ny)).T,
# extent=(l,r,b,t),cmap = 'binary',
# vmax=self.pndbm,origin='lower')
# title=title + '\n white : Pr (dBm) < %.2f' % self.pndbm + ' dBm'
#
#
# ax.scatter(self.tx[0],self.tx[1],s=10,c='k',linewidth=0)
#
# ax.set_title(title)
# divider = make_axes_locatable(ax)
# cax = divider.append_axes("right", size="5%", pad=0.05)
# clb = fig.colorbar(cov,cax)
# clb.set_label('Power (dBm)')
#
# if self.show:
# plt.show()
#
# return fig,ax
#
#
# def showTransistionRegion(self,polar='o'):
# """
#
# Notes
# -----
#
# See : "Analyzing the Transitional Region in Low Power Wireless Links"
# Marco Zuniga and Bhaskar Krishnamachari
#
# Examples
# --------
#
# .. plot::
# :include-source:
#
# > from pylayers.antprop.coverage import *
# > C = Coverage()
# > C.cover()
# > C.showTransitionRegion()
#
# """
#
# frameLength = self.framelengthbytes
#
# PndBm = self.pndbm
# gammaU = 10*np.log10(-1.28*np.log(2*(1-0.9**(1./(8*frameLength)))))
# gammaL = 10*np.log10(-1.28*np.log(2*(1-0.1**(1./(8*frameLength)))))
#
# PrU = PndBm + gammaU
# PrL = PndBm + gammaL
#
# fig,ax = self.L.showGs()
#
# l = self.grid[0,0]
# r = self.grid[-1,0]
# b = self.grid[0,1]
# t = self.grid[-1,-1]
#
# if polar=='o':
# prdbm=self.prdbmo
# if polar=='p':
# prdbm=self.prdbmp
#
# zones = np.zeros(np.shape(prdbm))
# #pdb.set_trace()
#
# uconnected = np.nonzero(prdbm>PrU)
# utransition = np.nonzero((prdbm < PrU)&(prdbm > PrL))
# udisconnected = np.nonzero(prdbm < PrL)
#
# zones[uconnected] = 1
# zones[utransition] = (prdbm[utransition]-PrL)/(PrU-PrL)
# cov = ax.imshow(zones.reshape((self.nx,self.ny)).T,
# extent=(l,r,b,t),cmap = 'BuGn',origin='lower')
#
# title='PDR region'
# ax.scatter(self.tx[0],self.tx[1],linewidth=0)
#
# ax.set_title(title)
# divider = make_axes_locatable(ax)
# cax = divider.append_axes("right", size="5%", pad=0.05)
# fig.colorbar(cov,cax)
# if self.show:
# plt.show()
#
def plot(self, **kwargs):
"""
"""
defaults = {
'typ': 'pr',
'grid': False,
'f': 0,
'a': 0,
'db': True,
'label': '',
'pol': 'p',
'col': 'b'
}
for k in defaults:
if k not in kwargs:
kwargs[k] = defaults[k]
if 'fig' in kwargs:
fig = kwargs['fig']
else:
fig = plt.figure()
if 'ax' in kwargs:
ax = kwargs['ax']
else:
ax = fig.add_subplot(111)
if kwargs['typ'] == 'pr':
if kwargs['a'] <> -1:
if kwargs['pol'] == 'p':
U = self.CmWp[kwargs['f'], :, kwargs['a']]
if kwargs['pol'] == 'o':
U = self.CmWo[kwargs['f'], :, kwargs['a']]
else:
if kwargs['pol'] == 'p':
U = self.CmWp[kwargs['f'], :, :].reshape(self.na * self.ng)
else:
U = self.CmWo[kwargs['f'], :, :].reshape(self.na * self.ng)
if kwargs['db']:
U = 10 * np.log10(U)
D = np.sqrt(np.sum((self.pa - self.pg) * (self.pa - self.pg), axis=0))
if kwargs['a'] <> -1:
D = D.reshape(self.ng, self.na)
ax.semilogx(D[:, kwargs['a']],
U,
'.',
color=kwargs['col'],
label=kwargs['label'])
else:
ax.semilogx(D, U, '.', color=kwargs['col'], label=kwargs['label'])
return fig, ax
def show(self, **kwargs):
""" show coverage
Parameters
----------
typ : string
'pr' | 'sinr' | 'capacity' | 'loss' | 'best' | 'egd'
grid : boolean
polar : string
'o' | 'p'
best : boolean
draw best server contour if True
f : int
frequency index
a : int
access point index (-1 all access point)
Examples
--------
.. plot::
:include-source:
>>> from pylayers.antprop.coverage import *
>>> C = Coverage()
>>> C.cover()
>>> f,a = C.show(typ='pr',figsize=(10,8))
>>> plt.show()
>>> f,a = C.show(typ='best',figsize=(10,8))
>>> plt.show()
>>> f,a = C.show(typ='loss',figsize=(10,8))
>>> plt.show()
>>> f,a = C.show(typ='sinr',figsize=(10,8))
>>> plt.show()
See Also
--------
pylayers.gis.layout.Layout.showG
"""
defaults = {
'typ': 'pr',
'grid': False,
'polar': 'p',
'f': 0,
'a': -1,
'db': True,
'cmap': cm.jet,
'best': True
}
title = self.dap[1].s.name + ' : '
for k in defaults:
if k not in kwargs:
kwargs[k] = defaults[k]
polar = kwargs['polar']
assert polar in ['p', 'o'], "polar wrongly defined in show coverage"
if 'fig' in kwargs:
if 'ax' in kwargs:
fig, ax = self.L.showG('s', fig=kwargs['fig'], ax=kwargs['ax'])
else:
fig, ax = self.L.showG('s', fig=kwargs['fig'])
else:
if 'figsize' in kwargs:
fig, ax = self.L.showG('s', figsize=kwargs['figsize'])
else:
fig, ax = self.L.showG('s')
# plot the grid
if kwargs['grid']:
for k in self.dap:
p = self.dap[k].p
ax.plot(p[0], p[1], 'or')
f = kwargs['f']
a = kwargs['a']
typ = kwargs['typ']
assert typ in ['best', 'egd', 'sinr', 'snr', 'capacity', 'pr',
'loss'], "typ unknown in show coverage"
best = kwargs['best']
dB = kwargs['db']
# setting the grid
l = self.grid[0, 0]
r = self.grid[-1, 0]
b = self.grid[0, 1]
t = self.grid[-1, -1]
if typ == 'best':
title = title + 'Best server' + ' fc = ' + str(
self.fGHz[f]) + ' GHz' + ' polar : ' + polar
for ka in range(self.na):
if polar == 'p':
bestsv = self.bestsvp[f, :, ka]
if polar == 'o':
bestsv = self.bestsvo[f, :, ka]
m = np.ma.masked_where(bestsv == 0, bestsv)
if self.mode <> 'file':
W = m.reshape(self.nx, self.ny).T
ax.imshow(W,
extent=(l, r, b, t),
origin='lower',
vmin=1,
vmax=self.na + 1)
else:
ax.scatter(self.grid[:, 0],
self.grid[:, 1],
c=m,
s=20,
linewidth=0)
ax.set_title(title)
else:
if typ == 'egd':
title = title + 'excess group delay : ' + ' fc = ' + str(
self.fGHz[f]) + ' GHz' + ' polar : ' + polar
V = self.Ed
dB = False
legcb = 'Delay (ns)'
if typ == 'sinr':
title = title + 'SINR : ' + ' fc = ' + str(
self.fGHz[f]) + ' GHz' + ' polar : ' + polar
if dB:
legcb = 'dB'
else:
legcb = 'Linear scale'
if polar == 'o':
V = self.sinro
if polar == 'p':
V = self.sinrp
if typ == 'snr':
title = title + 'SNR : ' + ' fc = ' + str(
self.fGHz[f]) + ' GHz' + ' polar : ' + polar
if dB:
legcb = 'dB'
else:
legcb = 'Linear scale'
if polar == 'o':
V = self.snro
if polar == 'p':
V = self.snrp
if typ == 'capacity':
title = title + 'Capacity : ' + ' fc = ' + str(
self.fGHz[f]) + ' GHz' + ' polar : ' + polar
legcb = 'Mbit/s'
if polar == 'o':
V = self.bmhz.T[np.newaxis, :] * np.log(
1 + self.sinro) / np.log(2)
if polar == 'p':
V = self.bmhz.T[np.newaxis, :] * np.log(
1 + self.sinrp) / np.log(2)
if typ == 'pr':
title = title + 'Pr : ' + ' fc = ' + str(
self.fGHz[f]) + ' GHz' + ' polar : ' + polar
if dB:
legcb = 'dBm'
else:
lgdcb = 'mW'
if polar == 'o':
V = self.CmWo
if polar == 'p':
V = self.CmWp
if typ == 'loss':
title = title + 'Loss : ' + ' fc = ' + str(
self.fGHz[f]) + ' GHz' + ' polar : ' + polar
if dB:
legcb = 'dB'
else:
legcb = 'Linear scale'
if polar == 'o':
V = self.Lwo * self.freespace
if polar == 'p':
V = self.Lwp * self.freespace
if a == -1:
V = np.max(V[f, :, :], axis=1)
else:
V = V[f, :, a]
# reshaping the data on the grid
if self.mode != 'file':
U = V.reshape((self.nx, self.ny)).T
else:
U = V
if dB:
U = 10 * np.log10(U)
if 'vmin' in kwargs:
vmin = kwargs['vmin']
else:
vmin = U.min()
if 'vmax' in kwargs:
vmax = kwargs['vmax']
else:
vmax = U.max()
if self.mode != 'file':
img = ax.imshow(U,
extent=(l, r, b, t),
origin='lower',
vmin=vmin,
vmax=vmax,
cmap=kwargs['cmap'])
else:
img = ax.scatter(self.grid[:, 0],
self.grid[:, 1],
c=U,
s=20,
linewidth=0,
cmap=kwargs['cmap'],
vmin=vmin,
vmax=vmax)
for k in range(self.na):
ax.annotate(str(k), xy=(self.pa[0, k], self.pa[1, k]))
ax.set_title(title)
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.05)
clb = fig.colorbar(img, cax)
clb.set_label(legcb)
if best:
if self.mode <> 'file':
if polar == 'o':
ax.contour(np.sum(self.bestsvo, axis=2)[f, :].reshape(
self.nx, self.ny).T,
extent=(l, r, b, t),
linestyles='dotted')
if polar == 'p':
ax.contour(np.sum(self.bestsvp, axis=2)[f, :].reshape(
self.nx, self.ny).T,
extent=(l, r, b, t),
linestyles='dotted')
# display access points
if a == -1:
ax.scatter(self.pa[0, :], self.pa[1, :], s=30, c='r', linewidth=0)
else:
ax.scatter(self.pa[0, a], self.pa[1, a], s=30, c='r', linewidth=0)
plt.tight_layout()
return (fig, ax)
class Simul(PyLayers):
"""
Link oriented simulation
A simulation requires :
A Layout
A Person
A Trajectory
"""
def __init__(self, _filetraj='simulnet_TA-Office.h5',verbose=False):
""" object constructor
Parameters
----------
_filetraj : string
h5 trajectory
verbose : boolean
"""
self.filetraj = _filetraj
# self.progress = -1 # simulation not loaded
self.verbose = verbose
self.cfield = []
self.dpersons = {}
self.dap = {}
self.Nag = 0
self.Nap = 0
self.load_config(_filetraj)
self.gen_net()
self.SL = SLink()
self.DL = DLink(L=self.L,verbose=self.verbose)
self.filename = 'simultraj_' + self.filetraj
self.data = pd.DataFrame(columns=['id_a', 'id_b',
'x_a', 'y_a', 'z_a',
'x_b', 'y_b', 'z_b',
'd', 'eng', 'typ',
'wstd', 'fcghz',
'fbminghz', 'fbmaxghz', 'fstep', 'aktk_id',
'sig_id', 'ray_id', 'Ct_id', 'H_id'
])
self.data.index.name='t'
self._filecsv = self.filename.split('.')[0] + '.csv'
self.todo = {'OB': True,
'B2B': True,
'B2I': True,
'I2I': False}
filenameh5 = pyu.getlong(self.filename,pstruc['DIRLNK'])
if os.path.exists(filenameh5) :
self.loadpd()
# self._saveh5_init()
def __repr__(self):
s = 'Simul trajectories class\n'
s = s + '------------------------\n'
s = s +'\n'
s = s + 'Used layout: ' + self.L.filename + '\n'
s = s + 'Number of Agents: ' + str(self.Nag) + '\n'
s = s + 'Number of Access Points: ' + str(self.Nap) + '\n'
s = s + 'Link to be evaluated: ' + str(self.todo) + '\n'
s = s + 'tmin: ' + str(self._tmin) + '\n'
s = s + 'tmax: ' + str(self._tmax) + '\n'
s = s +'\n'
# network info
s = s + 'self.N :\n'
s = s + self.N.__repr__() + '\n'
s = s + 'CURRENT TIME: ' + str(self.ctime) + '\n'
return s
def load_config(self, _filetraj):
""" load a simultraj configuration file
Parameters
----------
_filetraj : string
name of simulation file to be loaded
"""
self.filetraj = _filetraj
# get the trajectory
traj = tr.Trajectories()
traj.loadh5(self.filetraj)
# get the layout
self.L = Layout(traj.Lfilename)
# resample trajectory
for ut, t in enumerate(traj):
if t.typ == 'ag':
person = Body(t.name + '.ini')
tt = t.time()
self.dpersons.update({t.name: person})
self._tmin = tt[0]
self._tmax = tt[-1]
self.time = tt
else:
pos = np.array([t.x[0], t.y[0], t.z[0]])
self.dap.update({t.ID: {'pos': pos,
'ant': antenna.Antenna(),
'name': t.name
}
})
self.ctime = np.nan
self.Nag = len(self.dpersons.keys())
self.Nap = len(self.dap.keys())
self.traj = traj
def gen_net(self):
""" generate Network and associated links
Notes
-----
Create self.N : Network object
See Also
--------
pylayers.network.network
"""
N = Network()
# get devices on bodies
for p in self.dpersons:
D = []
for dev in self.dpersons[p].dev:
D.append(
Device(self.dpersons[p].dev[dev]['name'], ID=dev + '_' + p))
N.add_devices(D, grp=p)
# get access point devices
for ap in self.dap:
D = Device(self.dap[ap]['name'], ID=ap)
N.add_devices(D, grp='ap', p=self.dap[ap]['pos'])
# create Network
N.create()
self.N = N
def show(self):
""" show actual simlulation configuration
"""
fig, ax = self.L.showGs()
fig, ax = self.N.show(fig=fig, ax=ax)
return fig, ax
def evaldeter(self, na, nb, wstd, fmode='band', nf=10):
""" deterministic evaluation of a link
Parameters
----------
na : string:
node a id in self.N (Network)
nb : string:
node b id in self.N (Network)
wstd : string:
wireless standard used for commmunication between na and nb
fmode : string ('center'|'band')
mode of frequency evaluation
center : only on the centered frequency
band : on the whole band
nf : int:
number of frequency points (if fmode = 'band')
Returns
-------
(a, t )
a : ndarray
alpha_k
t : ndarray
tau_k
"""
# todo in network :
# take into consideration the postion and rotation of antenna and not device
self.DL.a = self.N.node[na]['p']
self.DL.Ta = self.N.node[na]['T']
self.DL.b = self.N.node[nb]['p']
self.DL.Tb = self.N.node[nb]['T']
if fmode == 'center':
self.DL.fGHz = self.N.node[na]['wstd'][wstd]['fcghz']
else:
minb = self.N.node[na]['wstd'][wstd]['fbminghz']
maxb = self.N.node[na]['wstd'][wstd]['fbmaxghz']
self.DL.fGHz = np.linspace(minb, maxb, nf)
a, t = self.DL.eval()
return a, t
def evalstat(self, na, nb):
""" statistical evaluation of a link
Parameters
----------
na : string:
node a id in self.N (Netwrok)
nb : string:
node b id in self.N (Netwrok)
Returns
-------
(a, t, eng)
a : ndarray
alpha_k
t : ndarray
tau_k
eng : float
engagement
"""
pa = self.N.node[na]['p']
pb = self.N.node[nb]['p']
dida, name = na.split('_')
didb, name = nb.split('_')
ak, tk, eng = self.SL.onbody(self.dpersons[name], dida, didb, pa, pb)
return ak, tk, eng
def run(self, **kwargs):
""" run the link evaluation along a trajectory
Parameters
----------
'OB': boolean
perform on body statistical link evaluation
'B2B': boolean
perform body to body deterministic link evaluation
'B2I': boolean
perform body to infrastructure deterministic link evaluation
'I2I': boolean
perform infrastructure to infrastructure deterministic link eval.
'llink': list
list of link to be evaluated
(if [], all link are considered)
'wstd': list
list of wstd to be evaluated
(if [], all wstd are considered)
't': np.array
list of timestamp to be evaluated
(if [], all timestamps are considered)
"""
defaults = {'OB': True,
'B2B': True,
'B2I': True,
'I2I': False,
'llink': [],
'wstd': [],
't': np.array([]),
}
for k in defaults:
if k not in kwargs:
kwargs[k] = defaults[k]
llink = kwargs.pop('llink')
wstd = kwargs.pop('wstd')
OB = kwargs.pop('OB')
B2B = kwargs.pop('B2B')
B2I = kwargs.pop('B2I')
I2I = kwargs.pop('I2I')
self.todo.update({'OB':OB,'B2B':B2B,'B2I':B2I,'I2I':I2I})
# Check link attribute
if llink == []:
llink = self.N.links
elif not isinstance(llink, list):
llink = [llink]
checkl = [l in self.N.links for l in llink]
if sum(checkl) != len(self.N.links):
uwrong = np.where(np.array(checkl) is False)[0]
raise AttributeError(str(np.array(llink)[uwrong])
+ ' links does not exist in Network')
# Check wstd attribute
if wstd == []:
wstd = self.N.wstd.keys()
elif not isinstance(wstd, list):
wstd = [wstd]
checkw = [w in self.N.wstd.keys() for w in wstd]
if sum(checkw) != len(self.N.wstd.keys()):
uwrong = np.where(np.array(checkw) is False)[0]
raise AttributeError(str(np.array(wstd)[uwrong])
+ ' wstd are not in Network')
# force time attribute compliant
if not isinstance(kwargs['t'],np.ndarray):
if isinstance(kwargs['t'],list):
lt = np.array(kwargs['t'])
elif (isinstance(kwargs['t'], int)
or isinstance(kwargs['t'],float)):
lt = np.array([kwargs['t']])
else :
lt = kwargs['t']
if len(lt) == 0:
lt = self.time
# check time attribute
if not lt[0] >= self._tmin and\
lt[-1] <= self._tmax:
raise AttributeError('Requested time range not available')
# self._traj is a copy of self.traj, which is affected by resampling.
# it is only a temporary attribute for a given run
if len(lt) > 1:
sf = 1/(1.*lt[1]-lt[0])
self._traj = self.traj.resample(sf=sf, tstart=lt[0])
else:
self._traj = self.traj.resample(sf=1.0, tstart=lt[0])
self._traj.time()
self.time = self._traj.t
self._time = pd.to_datetime(self.time,unit='s')
#
# Code
#
init = True
for ut, t in enumerate(lt):
self.ctime = t
self.update_pos(t)
print self.N.__repr__()
for w in wstd:
for na, nb, typ in llink[w]:
if self.todo[typ]:
if self.verbose:
print '-'*30
print 'time:', t, '/', lt[-1] ,' time idx:', ut, '/',len(lt)
print 'processing: ',na, ' <-> ', nb, 'wstd: ', w
print '-'*30
eng = 0
self.evaldeter(na, nb, w)
if typ == 'OB':
self.evalstat(na, nb)
eng = self.SL.eng
L = self.DL + self.SL
self._ak = L.H.ak
self._tk = L.H.tk
else :
self._ak = self.DL.H.ak
self._tk = self.DL.H.tk
df = pd.DataFrame({\
'id_a': na,
'id_b': nb,
'x_a': self.N.node[na]['p'][0],
'y_a': self.N.node[na]['p'][1],
'z_a': self.N.node[na]['p'][2],
'x_b': self.N.node[nb]['p'][0],
'y_b': self.N.node[nb]['p'][1],
'z_b': self.N.node[nb]['p'][2],
'd': self.N.edge[na][nb]['d'],
'eng': eng,
'typ': typ,
'wstd': w,
'fcghz': self.N.node[na]['wstd'][w]['fcghz'],
'fbminghz': self.DL.fmin,
'fbmaxghz': self.DL.fmax,
'fstep': self.DL.fstep,
'aktk_id': str(ut) + '_' + na + '_' + nb + '_' + w,
'sig_id': self.DL.dexist['sig']['grpname'],
'ray_id': self.DL.dexist['ray']['grpname'],
'Ct_id': self.DL.dexist['Ct']['grpname'],
'H_id': self.DL.dexist['H']['grpname'],
},columns=['id_a', 'id_b',
'x_a', 'y_a', 'z_a',
'x_b', 'y_b', 'z_b',
'd', 'eng', 'typ',
'wstd', 'fcghz',
'fbminghz', 'fbmaxghz', 'fstep', 'aktk_id',
'sig_id', 'ray_id', 'Ct_id', 'H_id'
],index=[self._time[ut]])
if not self.check_exist(df):
self.data = self.data.append(df)
# self._index = self._index + 1
# save csv
self.tocsv(ut, na, nb, w,init=init)
init=False
# save pandas self.data
self.savepd()
# save ak tauk
self._saveh5(ut, na, nb, w)
def check_exist(self, df):
"""check if a dataframe df already exists in self.data
Parameters
----------
df : pd.DataFrame
Returns
-------
boolean
True if already exists
False otherwise
"""
ud = self.data[(self.data.index == df.index)
& (self.data['id_a'] == df['id_a'].values[0])
& (self.data['id_b'] == df['id_b'].values[0])
& (self.data['wstd'] == df['wstd'].values[0])
]
if len(ud) == 0:
return False
else :
return True
def savepd(self):
""" save data information of a simulation
"""
filenameh5 = pyu.getlong(self.filename, pstruc['DIRLNK'])
store = pd.HDFStore(filenameh5,'a')
self.data=self.data.sort()
store['df'] = self.data
store.close()
def loadpd(self):
""" load data from previous simulations
"""
filenameh5 = pyu.getlong(self.filename, pstruc['DIRLNK'])
self.data = pd.read_hdf(filenameh5,'df')
self.data.index.name='t'
def update_pos(self, t):
""" update positions of devices and bodies for a given time index
Parameters
----------
t : int
time value
"""
# if a bodies are involved in simulation
if ((self.todo['OB']) or (self.todo['B2B']) or (self.todo['B2I'])):
nodeid = []
pos = []
orient = []
for up, person in enumerate(self.dpersons.values()):
person.settopos(self._traj[up], t=t, cs=True)
name = person.name
dev = person.dev.keys()
nodeid.extend([n + '_' + name for n in dev])
pos.extend([person.dcs[d][:, 0] for d in dev])
orient.extend([person.acs[d] for d in dev])
# TODO !!!!!!!!!!!!!!!!!!!!
# in a future version , the network update must also update
# antenna positon in the device coordinate system
self.N.update_pos(nodeid, pos, now=t)
self.N.update_orient(nodeid, orient, now=t)
self.N.update_dis()
def _show3(self, **kwargs):
""" 3D show using Mayavi
Parameters
----------
t: float
time index
link: list
[id_a, id_b]
id_a : node id a
id_b : node id b
'lay': bool
show layout
'net': bool
show net
'body': bool
show bodies
'rays': bool
show rays
"""
defaults = {'t': 0,
'link': [],
'wstd':[],
'lay': True,
'net': True,
'body': True,
'rays': True,
'ant': False
}
for k in defaults:
if k not in kwargs:
kwargs[k] = defaults[k]
link = kwargs['link']
df = self.data[self.data['t'] == kwargs['t']]
if len(df) == 0:
raise AttributeError('invalid time')
# default
if link ==[]:
line = df[df.index==1]
link = [line['id_a'].values[0],line['id_b'].values[0]]
else :
# get info of the corresponding timestamp
line = df[(df['id_a'] == link[0]) & (df['id_b'] == link[1])]
if len(line) == 0:
line = df[(df['id_b'] == link[0]) & (df['id_a'] == link[1])]
if len(line) == 0:
raise AttributeError('invalid link')
rayid = line['ray_id'].values[0]
self.update_pos(kwargs['t'])
self.DL.a = self.N.node[link[0]]['p']
self.DL.b = self.N.node[link[1]]['p']
self.DL.Ta = self.N.node[link[0]]['T']
self.DL.Tb = self.N.node[link[1]]['T']
self.DL.load(self.DL.R,rayid)
self.DL._show3(newfig= False,
lay= kwargs['lay'],
rays= kwargs['rays'],
ant=False)
if kwargs['net']:
self.N._show3(newfig=False)
if kwargs['body']:
for p in self.dpersons:
self.dpersons[p]._show3(newfig=False,
topos=True,
pattern=kwargs['ant'])
# def _saveh5_init(self):
# """ initialization of the h5py file
# """
# filenameh5 = pyu.getlong(self.filename, pstruc['DIRLNK'])
# import ipdb
# try:
# f5 = h5py.File(filenameh5, 'w')
# f5.create_dataset('time', shape=self.time.shape, data=self.time)
# f5.close()
# except:
# f5.close()
# raise NameError('simultra.saveinit: \
# issue when writting h5py file')
def _saveh5(self, ut, ida, idb, wstd):
""" Save in h5py format
Parameters
----------
ut : int
time index in self.time
ida : string
node a index
idb : string
node b index
wstd : string
wireless standard of used link
Notes
-----
Dataset organisation:
simultraj_<trajectory_filename.h5>.h5
|
|time
| ...
|
|/<tidx_ida_idb_wstd>/ |attrs
| |a_k
| |t_k
Root dataset :
time : array
range of simulation time
Group identifier :
tidx : index in time dataset
ida : node a index in Network
idb : node b index in Network
wstd : wireless standar of link interest
Inside group:
a_k : alpha_k values
t_k : tau_k values
See Also
--------
pylayers.simul.links
"""
filenameh5 = pyu.getlong(self.filename, pstruc['DIRLNK'])
grpname = str(ut) + '_' + ida + '_' + idb + '_' + wstd
# try/except to avoid loosing the h5 file if
# read/write error
try:
fh5 = h5py.File(filenameh5, 'a')
if not grpname in fh5.keys():
fh5.create_group(grpname)
f = fh5[grpname]
# for k in kwargs:
# f.attrs[k] = kwargs[k]
f.create_dataset('alphak',
shape=self._ak.shape,
maxshape=(None),
data=self._ak)
f.create_dataset('tauk',
shape=self._tk.shape,
maxshape=(None),
data=self._tk)
else:
pass#print grpname + ' already exists in ' + filenameh5
fh5.close()
except:
fh5.close()
raise NameError('Simultraj._saveh5: issue when writting h5py file')
def _loadh5(self, grpname):
""" Load in h5py format
Parameters
----------
grpname : string
group name which can be found sin self.data aktk_idx column
Returns
-------
(ak, tk, conf)
ak : ndarray:
alpha_k
tk : ndarray:
alpha_k
"""
filenameh5 = pyu.getlong(self.filename, pstruc['DIRLNK'])
# try/except to avoid loosing the h5 file if
# read/write error
try:
fh5 = h5py.File(filenameh5, 'r')
if not grpname in fh5.keys():
fh5.close()
raise NameError(grpname + ' cannot be reached in ' + self.filename)
f = fh5[grpname]
# for k in f.attrs.keys():
# conf[k]=f.attrs[k]
ak = f['alphak'][:]
tk = f['tauk'][:]
fh5.close()
return ak, tk
except:
fh5.close()
raise NameError('Simultraj._loadh5: issue when reading h5py file')
def tocsv(self, ut, ida, idb, wstd,init=False):
filecsv = pyu.getlong(self._filecsv,pstruc['DIRLNK'])
with open(filecsv, 'a') as csvfile:
fil = csv.writer(csvfile, delimiter=';',
quoting=csv.QUOTE_MINIMAL)
if init:
keys = self.data.iloc[-1].keys()
data = [k for k in keys]
data .append('ak')
data .append('tk')
fil.writerow(data)
values = self.data.iloc[-1].values
data = [v for v in values]
sak = str(self._ak.tolist())
stk = str(self._tk.tolist())
data.append(sak)
data.append(stk)
fil.writerow(data)
def __init__(self,_fileini='coverage.ini'):
""" object constructor
Parameters
----------
_fileini : string
name of the configuration file
Notes
-----
Coverage is described in an ini file.
Default file is coverage.ini and is placed in the ini directory of the current project.
"""
self.config = ConfigParser.ConfigParser()
self.config.read(pyu.getlong(_fileini,pstruc['DIRSIMUL']))
self.layoutopt = dict(self.config.items('layout'))
self.gridopt = dict(self.config.items('grid'))
self.apopt = dict(self.config.items('ap'))
self.rxopt = dict(self.config.items('rx'))
self.showopt = dict(self.config.items('show'))
# get the Layout
filename = self.layoutopt['filename']
if filename.endswith('ini'):
self.typ = 'indoor'
self.L = Layout(filename)
# get the receiving grid
self.nx = eval(self.gridopt['nx'])
self.ny = eval(self.gridopt['ny'])
self.mode = self.gridopt['mode']
self.boundary = eval(self.gridopt['boundary'])
self.filespa = self.gridopt['file']
#
# create grid
#
self.creategrid(mode=self.mode,boundary=self.boundary,_fileini=self.filespa)
self.dap = {}
for k in self.apopt:
kwargs = eval(self.apopt[k])
ap = std.AP(**kwargs)
self.dap[eval(k)] = ap
try:
self.L.Gt.nodes()
except:
pass
try:
self.L.dumpr()
except:
self.L.build()
self.L.dumpw()
else:
self.typ='outdoor'
self.E = ez.Ezone(filename)
self.E.loadh5()
self.E.rebase()
self.fGHz = np.array([])
#self.fGHz = eval(self.txopt['fghz'])
#self.tx = np.array((eval(self.txopt['x']),eval(self.txopt['y'])))
#self.ptdbm = eval(self.txopt['ptdbm'])
#self.framelengthbytes = eval(self.txopt['framelengthbytes'])
# receiver section
#self.rxsens = eval(self.rxopt['sensitivity'])
self.temperaturek = eval(self.rxopt['temperaturek'])
self.noisefactordb = eval(self.rxopt['noisefactordb'])
# show section
self.bshow = str2bool(self.showopt['show'])
class Simul(SimulationRT): # Sympy 2
#class Simul(sympy.RealtimeEnvironment):
"""
Attributes
----------
config : config parser instance
sim_opt : dictionary of configuration option for simulation
ag_opt : dictionary of configuration option for agent
lay_opt : dictionary of configuration option for layout
meca_opt : dictionary of configuration option for mecanic
net_opt : dictionary of configuration option for network
loc_opt : dictionary of configuration option for localization
save_opt : dictionary of configuration option for save
sql_opt : dictionary of configuration option for sql
Parameters
----------
self.lAg : list of Agent(Object)
list of agents involved in simulation
self.L : Layout
Layout used in simulation
Notes
-----
All the previous dictionnary are obtained from the chosen simulnet.ini file
in the project directory
"""
def __init__(self):
SimulationRT.__init__(self) #Sympy 2
#sympy.RealtimeEnvironment.__init__(self) #simpy 3
self.initialize()
self.config = ConfigParser.ConfigParser()
filename = pyu.getlong('simulnet.ini',pstruc['DIRSIMUL'])
self.config.read(filename)
self.sim_opt = dict(self.config.items('Simulation'))
self.lay_opt = dict(self.config.items('Layout'))
self.meca_opt = dict(self.config.items('Mechanics'))
self.net_opt = dict(self.config.items('Network'))
self.loc_opt = dict(self.config.items('Localization'))
self.save_opt = dict(self.config.items('Save'))
self.sql_opt = dict(self.config.items('Mysql'))
self.seed = eval(self.sim_opt['seed'])
self.traj=Trajectories()
self.verbose = str2bool(self.sim_opt['verbose'])
if str2bool(self.net_opt['ipython_nb_show']):
self.verbose = False
self.roomlist=[]
self.finish = False
self.create()
def __repr__(self):
s = 'Simulation information' + '\n----------------------'
s = s + '\nLayout: ' + self.lay_opt['filename']
s = s + '\nSimulation duration: ' + self.sim_opt['duration']
s = s + '\nRandom seed: ' + self.sim_opt['seed']
s = s + '\nSave simulation: ' + self.save_opt['savep']
s = s + '\n\nUpdate times' + '\n-------------'
s = s + '\nMechanical update: ' + self.meca_opt['mecanic_update_time']
s = s + '\nNetwork update: ' + self.net_opt['network_update_time']
s = s + '\nLocalization update: ' + self.net_opt['communication_mode']
s = s + '\n\nAgents => self.lAg[i]' + '\n------'
s = s + '\nNumber of agents :' + str(len(self.lAg))
s = s + '\nAgents IDs: ' + str([self.lAg[i].ID for i in range(len(self.lAg))])
s = s + '\nAgents names: ' + str([self.lAg[i].name for i in range(len(self.lAg))])
s = s + '\nDestination of chosen agents: ' + self.meca_opt['choose_destination']
s = s + '\n\nNetwork' + '\n-------'
s = s + '\nNodes per wstd: ' + str(self.net.wstd)
s = s + '\n\nLocalization' + '------------'
s = s + '\nLocalization enable: ' + self.loc_opt['localization']
s = s + '\nPostion estimation methods: ' + self.loc_opt['method']
return s
def create_layout(self):
""" create Layout in Simpy the_world thanks to Tk backend
"""
_filename = self.lay_opt['filename']
self.L = Layout(_filename)
self.the_world = world()
try:
self.L.dumpr()
print 'Layout graphs are loaded from ',basename,'/struc/ini'
except:
#self.L.sl = sl
#self.L.loadGr(G1)
print 'This is the first time the layout file is used\
Layout graphs are curently being built, it may take few minutes.'
self.L.build()
self.L.dumpw()
#
# Create Layout
#
walls = self.L.thwall(0, 0)
for wall in walls:
for ii in range(0, len(wall) - 1):
self.the_world.add_wall(wall[ii], wall[ii + 1])
def create_agent(self):
""" create simulation's Agents
..todo:: change lAg list to a dictionnary ( modification in show.py too)
"""
self.lAg = []
agents=[]
Cf = ConfigParser.ConfigParser()
Cf.read(pyu.getlong('agent.ini','ini'))
agents=eval(dict(Cf.items('used_agent'))['list'])
for i, ag in enumerate(agents):
ag_opt = dict(Cf.items(ag))
self.lAg.append(Agent(
ID=ag_opt['id'],
name=ag_opt['name'],
typ=ag_opt['typ'],
color=eval(ag_opt['color']),
pdshow=str2bool(self.meca_opt['pdshow']),
pos=np.array(eval(ag_opt['pos'])),
roomId=int(ag_opt['roomid']),
froom=eval(ag_opt['froom']),
meca_updt=float(self.meca_opt['mecanic_update_time']),
wait=float(ag_opt['wait']),
cdest=eval(self.meca_opt['choose_destination']),
loc=str2bool(self.loc_opt['localization']),
loc_updt=float(self.loc_opt['localization_update_time']),
loc_method=eval(self.loc_opt['method']),
L=self.L,
network=str2bool(self.net_opt['network']),
net=self.net,
epwr=dict([(eval((ag_opt['wstd']))[ep],eval((ag_opt['epwr']))[ep]) for ep in range(len(eval((ag_opt['wstd']))))]),
sens=dict([(eval((ag_opt['wstd']))[ep],eval((ag_opt['sensitivity']))[ep]) for ep in range(len(eval((ag_opt['wstd']))))]),
world=self.the_world,
wstd=eval(ag_opt['wstd']),
save=eval(self.save_opt['save']),
gcom=self.gcom,
comm_mode=eval(self.net_opt['communication_mode']),
sim=self,
seed=self.seed))
def create_EMS(self):
""" electromagnetic Solver object
"""
self.EMS = EMSolver(L=self.L)
def create_network(self):
""" create the whole network
"""
self.net = Network(EMS=self.EMS)
self.gcom=Gcom(net=self.net,sim=self)
self.create_agent()
# create network
if str2bool(self.net_opt['network']):
self.net.create()
# create All Personnal networks
for n in self.net.nodes():
self.net.node[n]['PN']._get_wstd()
self.net.node[n]['PN']._get_SubNet()
self.gcom.create()
# create Process Network
self.Pnet = PNetwork(net=self.net,
net_updt_time=float(self.net_opt['network_update_time']),
L=self.L,
sim=self,
show_sg=str2bool(self.net_opt['show_sg']),
disp_inf=str2bool(self.net_opt['dispinfo']),
save=eval(self.save_opt['save']))
self.activate(self.Pnet, self.Pnet.run(), 0.0)
def create_visual(self):
""" create visual Tk process
"""
self.visu = Updater(
interval=float(self.sim_opt['show_interval']), sim=self)
self.activate(self.visu, self.visu.execute(), 0.0)
def create(self):
""" create the simulation
This method is called at the end of __init__
"""
# this is just to redump the database at each simulation
if 'mysql' in self.save_opt['save']:
if str2bool(self.sql_opt['dumpdb']):
os.popen('mysql -u ' + self.sql_opt['user'] + ' -p ' + self.sql_opt['dbname'] +\
'< /private/staff/t/ot/niamiot/svn2/devel/simulator/pyray/SimWHERE2.sql' )
## TODO supprimer la ref en dur
if 'txt' in self.save_opt['save']:
pyu.writeDetails(self)
if os.path.isfile(basename+'/output/Nodes.txt'):
print 'would you like to erase previous txt files ?'
A=raw_input()
if A == 'y':
for f in os.listdir(basename+'/output/'):
try:
fi,ext=f.split('.')
if ext == 'txt':
os.remove(basename+'/output/'+f)
except:
pass
self.create_layout()
self.create_EMS()
self.create_network()
if str2bool(self.sim_opt['showtk']):
self.create_visual()
self.create_show()
if str2bool(self.save_opt['savep']):
self.save=Save(L=self.L,net=self.net,sim=self)
self.activate(self.save,self.save.run(),0.0)
def create_show(self):
""" create a vizualization
"""
plt.ion()
fig_net = 'network'
fig_table = 'table'
if str2bool(self.net_opt['show']):
if str2bool(self.net_opt['ipython_nb_show']):
notebook=True
else:
notebook =False
self.sh = ShowNet(net=self.net, L=self.L,sim=self,fname=fig_net,notebook=notebook)
self.activate(self.sh,self.sh.run(),1.0)
if str2bool(self.net_opt['show_table']):
self.sht = ShowTable(net=self.net,lAg=self.lAg,sim=self,fname=fig_table)
self.activate(self.sht,self.sht.run(),1.0)
def savepandas(self):
""" save mechanics in pandas hdf5 format
"""
filename=pyu.getlong(eval(self.sim_opt["filename"]),pstruc['DIRNETSAVE'])
layfile = self.L.filename.split('.')[0]
store = pd.HDFStore(filename+'_'+layfile+'.h5','w')
for a in self.lAg :
if a.typ != 'ap':
store.put( a.ID,a.meca.df.convert_objects() )
else : # if agent acces point, its position is saved
store.put( a.ID,a.posdf )
store.get_storer(a.ID).attrs.typ = a.typ
store.get_storer(a.ID).attrs.name = a.name
store.get_storer(a.ID).attrs.ID = a.ID
store.get_storer(a.ID).attrs.layout = self.L.filename
#saving metadata
store.close()
self.traj.loadh5(eval(self.sim_opt["filename"])+'_'+layfile+'.h5')
def runsimul(self):
""" run simulation
"""
if not self.finish :
seed(self.seed)
self.simulate(until=float(self.sim_opt['duration']),
real_time=True,
rel_speed=float(self.sim_opt['speedratio']))
self.the_world._boids={}
if str2bool(self.save_opt['savep']):
print 'Processing save results, please wait'
self.save.mat_export()
if str2bool(self.save_opt['savepd']):
self.savepandas()
self.finish = True
else :
raise NameError('Reinstantiate a new simul object to run again')
def __init__(self,_fileini='coverage.ini'):
""" object constructor
Parameters
----------
_fileini : string
name of the configuration file
Notes
-----
Coverage is described in an ini file.
Default file is coverage.ini and is placed in the ini directory of the current project.
"""
self.config = ConfigParser.ConfigParser()
self.config.read(pyu.getlong(_fileini,pstruc['DIRSIMUL']))
self.layoutopt = dict(self.config.items('layout'))
self.gridopt = dict(self.config.items('grid'))
self.apopt = dict(self.config.items('ap'))
self.rxopt = dict(self.config.items('rx'))
self.showopt = dict(self.config.items('show'))
# get the Layout
self.L = Layout(self.layoutopt['filename'])
# get the receiving grid
self.nx = eval(self.gridopt['nx'])
self.ny = eval(self.gridopt['ny'])
self.ng = self.nx*self.ny
self.mode = eval(self.gridopt['full'])
self.boundary = eval(self.gridopt['boundary'])
# create grid
# we could here construct a grid locally around the access point
# to be done later for code acceleration
#
self.creategrid(full=self.mode,boundary=self.boundary)
self.dap = {}
for k in self.apopt:
kwargs = eval(self.apopt[k])
ap = std.AP(**kwargs)
self.dap[eval(k)] = ap
try:
self.aap = np.vstack((self.aap,ap['p'][0:2]))
self.ptdbm = np.vstack((self.ptdbm,ap['PtdBm']))
except:
self.aap = ap['p'][0:2]
self.ptdbm = ap['PtdBm']
# 1 x na
self.ptdbm = self.ptdbm.T
# number of access points
self.na = len(self.dap)
# creating all links
p = product(range(self.ng),range(self.na))
#
# a : access point
# g : grid
#
for k in p:
pg = self.grid[k[0],:]
pa = self.aap[k[1]]
try:
self.pa = np.vstack((self.pa,pa))
except:
self.pa = pa
try:
self.pg = np.vstack((self.pg,pg))
except:
self.pg = pg
self.pa = self.pa.T
self.pg = self.pg.T
# frequency is chosen as all the center frequencies of the standard
# warning assuming the same standard
self.fGHz = self.dap[0].s.fcghz
self.nf = len(self.fGHz)
# AP section
#self.fGHz = eval(self.txopt['fghz'])
#self.tx = np.array((eval(self.txopt['x']),eval(self.txopt['y'])))
#self.ptdbm = eval(self.txopt['ptdbm'])
#self.framelengthbytes = eval(self.txopt['framelengthbytes'])
# receiver section
self.rxsens = eval(self.rxopt['sensitivity'])
kBoltzmann = 1.3806503e-23
self.temperaturek = eval(self.rxopt['temperaturek'])
self.noisefactordb = eval(self.rxopt['noisefactordb'])
# list of access points
lap = self.dap.keys()
# list of channels
lchan = map(lambda x: self.dap[x]['chan'],lap)
apchan = zip(self.dap.keys(),lchan)
self.bmhz = np.array(map(lambda x: self.dap[x[0]].s.chan[x[1][0]]['BMHz']*len(x[1]),apchan))
# Evaluate Noise Power (in dBm)
Pn = (10**(self.noisefactordb/10.)+1)*kBoltzmann*self.temperaturek*self.bmhz*1e3
self.pndbm = 10*np.log10(Pn)+60
# show section
self.bshow = str2bool(self.showopt['show'])
try:
self.L.Gt.nodes()
except:
pass
try:
self.L.dumpr()
except:
self.L.build()
self.L.dumpw()
from pylayers.gis.layout import Layout
import networkx as nx
import matplotlib.pyplot as plt
#doctest.testmod(layout)
#L = Layout('TA-Office.ini')
L = Layout()
lL = L.ls()
for tL in lL:
print tL
#f = plt.figure(figsize=(20,10))
#plt.axis('off')
#f,a = L.showG('s',nodes=False,fig=f)
#plt.show()
#f,a = L.showG('r',edge_color='b',linewidth=4,fig=f)
#L= Layout('11Dbibli.ini')
#L.show()
#L = Layout('PTIN.ini')
#L = Layout('DLR.ini')
#L.buildGt()
#Ga = L.buildGr()
#L.showGs()
#nx.draw(Ga,Ga.pos)
class Simul(PyLayers):
"""
Link oriented simulation
A simulation requires :
+ A Layout
+ A Person
+ A Trajectory
or a CorSer instance
Members
-------
dpersons : dictionnary of persons (agent)
dap : dictionnary of access points
Methods
-------
load_simul : load configuration file
load_Corser : load a Corser file
_gen_net : generate network and asociated links
show : show layout and network
evaldeter : run simulation over time
"""
def __init__(self, source ='simulnet_TA-Office.h5',verbose=False):
""" object constructor
Parameters
----------
source : string
h5 trajectory file default simulnet_TA-Office.h5
verbose : boolean
Notes
-----
The simultraj has a dataframe
"""
# self.progress = -1 # simulation not loaded
self.verbose = verbose
self.cfield = []
self.dpersons = {}
self.dap = {}
self.Nag = 0
self.Nap = 0
# source analysis
if isinstance(source,str):
self.filetraj = source
self.load_simul(source)
self.source = 'simul'
elif 'pylayers' in source.__module__:
self.filetraj = source._filename
self.load_CorSer(source)
cutoff=2
self.source = 'CorSer'
# generate the Network
# The wireless standard and frequency is fixed in this function
#
self._gen_net()
# initialize Stochastic Link
self.SL = SLink()
# initialize Deterministic Link
self.DL = DLink(L=self.L,verbose=self.verbose)
self.DL.cutoff=cutoff
self.filename = 'simultraj_' + self.filetraj + '.h5'
# data is a panda container which is initialized
#
# We do not save all the simulation in a DataFRame anymore
#
#self.data = pd.DataFrame(columns=['id_a', 'id_b',
# 'x_a', 'y_a', 'z_a',
# 'x_b', 'y_b', 'z_b',
# 'd', 'eng', 'typ',
# 'wstd', 'fcghz',
# 'fbminghz', 'fbmaxghz', 'fstep', 'aktk_id',
# 'sig_id', 'ray_id', 'Ct_id', 'H_id'
# ])
#self.data.index.name='t'
self._filecsv = self.filename.split('.')[0] + '.csv'
self.todo = {'OB': True,
'B2B': True,
'B2I': True,
'I2I': False}
filenameh5 = pyu.getlong(self.filename,pstruc['DIRLNK'])
if os.path.exists(filenameh5) :
self.loadpd()
self.settime(0.)
# self._saveh5_init()
def __repr__(self):
s = 'Simul trajectories class\n'
s = s + '------------------------\n'
s = s +'\n'
s = s + 'Used layout: ' + self.L.filename + '\n'
s = s + 'Number of Agents: ' + str(self.Nag) + '\n'
s = s + 'Number of Access Points: ' + str(self.Nap) + '\n'
s = s + 'Link to be evaluated: ' + str(self.todo) + '\n'
s = s + 'tmin: ' + str(self._tmin) + '\n'
s = s + 'tmax: ' + str(self._tmax) + '\n'
s = s +'\n'
# network info
s = s + 'self.N :\n'
s = s + self.N.__repr__() + '\n'
s = s + 'CURRENT TIME: ' + str(self.ctime) + '\n'
return s
def load_simul(self, source):
""" load a simultraj configuration file
Parameters
----------
source : string
name of simulation file to be loaded
"""
self.filetraj = source
if not os.path.isfile(source):
raise AttributeError('Trajectory file'+source+'has not been found.\
Please make sure you have run a simulnet simulation before runining simultraj.')
# get the trajectory
traj = tr.Trajectories()
traj.loadh5(self.filetraj)
# get the layout
self.L = Layout(traj.Lfilename)
# resample trajectory
for ut, t in enumerate(traj):
if t.typ == 'ag':
person = Body(t.name + '.ini')
tt = t.time()
self.dpersons.update({t.name: person})
self._tmin = tt[0]
self._tmax = tt[-1]
self.time = tt
else:
pos = np.array([t.x[0], t.y[0], t.z[0]])
self.dap.update({t.ID: {'pos': pos,
'ant': antenna.Antenna(),
'name': t.name
}
})
self.ctime = np.nan
self.Nag = len(self.dpersons.keys())
self.Nap = len(self.dap.keys())
self.traj = traj
def load_CorSer(self,source):
""" load CorSer file for simulation
Parameters
----------
source :
name of simulation file to be loaded
"""
if isinstance(source.B,Body):
B=[source.B]
elif isinstance(source.B,list):
B=source.B
elif isinstance(source.B,dict):
B=source.B.values()
else:
raise AttributeError('CorSer.B must be a list or a Body')
self.L=source.L
self.traj = tr.Trajectories()
self.traj.Lfilename=self.L.filename
for b in B:
self.dpersons.update({b.name: b})
self._tmin = b.time[0]
self._tmax = b.time[-1]
self.time = b.time
self.traj.append(b.traj)
for ap in source.din:
techno,ID=ap.split(':')
if techno == 'HKB':
techno = 'hikob'
if techno == 'TCR':
techno = 'tcr'
if techno == 'BS':
techno = 'bespoon'
self.dap.update({ap: {'pos': source.din[ap]['p'],
'ant': source.din[ap]['ant'],
'T': source.din[ap]['T'],
'name': techno
}
})
self.ctime = np.nan
self.Nag = len(B)
self.Nap = len(source.din)
self.corser = source
def _gen_net(self):
""" generate Network and associated links
Notes
-----
Create self.N : Network object
See Also
--------
pylayers.network.network
"""
#
# Create Network
#
N = Network()
#
# get devices on bodies
#
# forall person
# forall device
for p in self.dpersons:
D = []
for dev in self.dpersons[p].dev:
aDev = Device(self.dpersons[p].dev[dev]['name'], ID = dev)
D.append(aDev)
D[-1].ant['A1']['name'] = self.dpersons[p].dev[dev]['file']
D[-1].ant['antenna'] = self.dpersons[p].dev[dev]['ant']
N.add_devices(D, grp=p)
#
# get access point devices
#
for ap in self.dap:
D = Device(self.dap[ap]['name'], ID = ap)
D.ant['antenna'] = self.dap[ap]['ant']
N.add_devices(D, grp = 'ap', p = self.dap[ap]['pos'])
N.update_orient(ap, self.dap[ap]['T'], now = 0.)
# create Network
#
# _get_wstd
# _get_grp
# _connect
# _init_PN
#
N.create()
self.N = N
def show(self):
""" show actual simlulation configuration
"""
fig, ax = self.L.showGs()
fig, ax = self.N.show(fig=fig, ax=ax)
return fig, ax
def evaldeter(self, na, nb, wstd, fmod='force',nf=10,fGHz=[], **kwargs):
""" deterministic evaluation of a link
Parameters
----------
na : string:
node a id in self.N (Network)
nb : string:
node b id in self.N (Network)
wstd : string:
wireless standard used for commmunication between na and nb
fmode : string ('center'|'band'|'force')
mode of frequency evaluation
center : single frequency (center frequency of a channel)
band : nf points on the whole band
force : takes directly fGHz
nf : int:
number of frequency points (if fmode = 'band')
**kwargs : argument of DLink
Returns
-------
(a, t )
a : ndarray
alpha_k
t : ndarray
tau_k
See Also
--------
pylayers.simul.link.DLink
"""
# todo in network :
# take into consideration the postion and rotation of antenna and not device
self.DL.Aa = self.N.node[na]['ant']['antenna']
self.DL.a = self.N.node[na]['p']
self.DL.Ta = self.N.node[na]['T']
self.DL.Ab = self.N.node[nb]['ant']['antenna']
self.DL.b = self.N.node[nb]['p']
self.DL.Tb = self.N.node[nb]['T']
#
# The frequency band is chosen from the selected standard
# if fmode == 'center'
# only center frequency is calculated
#
#'
if fmod == 'center':
self.DL.fGHz = self.N.node[na]['wstd'][wstd]['fcghz']
if fmod == 'band':
fminGHz = self.N.node[na]['wstd'][wstd]['fbminghz']
fmaxGHz = self.N.node[na]['wstd'][wstd]['fbmaxghz']
self.DL.fGHz = np.linspace(fminGHz, fmaxGHz, nf)
if fmod == 'force':
assert len(fGHz)>0,"fGHz has not been defined"
self.DL.fGHz = fGHz
a, t = self.DL.eval(**kwargs)
return a, t
def evalstat(self, na, nb):
""" statistical evaluation of a link
Parameters
----------
na : string:
node a id in self.N (Netwrok)
nb : string:
node b id in self.N (Netwrok)
Returns
-------
(a, t, eng)
a : ndarray
alpha_k
t : ndarray
tau_k
eng : float
engagement
"""
pa = self.N.node[na]['p']
pb = self.N.node[nb]['p']
if self.source == 'simul':
dida, name = na.split('_')
didb, name = nb.split('_')
elif self.source =='CorSer':
bpa,absolutedida,dida,name,technoa = self.corser.devmapper(na)
bpb,absolutedidb,didb,name,technob = self.corser.devmapper(nb)
ak, tk, eng = self.SL.onbody(self.dpersons[name], dida, didb, pa, pb)
return ak, tk, eng
def settime(self,t):
""" set current time
"""
self.ctime = t
self._traj=copy.copy(self.traj)
self.update_pos(t)
def run(self, **kwargs):
""" run the link evaluation along a trajectory
Parameters
----------
OB: boolean
perform on body statistical link evaluation
B2B: boolean
perform body to body deterministic link evaluation
B2I: boolean
perform body to infrastructure deterministic link evaluation
I2I: boolean
perform infrastructure to infrastructure deterministic link eval.
links: dict
dictionnary of link to be evaluated (key is wtsd and value is a list of links)
(if [], all link are considered)
wstd: list
list of wstd to be evaluated
(if [], all wstd are considered)
t: np.array
list of timestamp to be evaluated
(if [], all timestamps are considered)
tbr : boolean
time in bit reverse order (tmin,tmax,N) Npoints=2**N
replace_data: boolean (True)
if True , reference id of all already simulated link will be erased
and replace by new simulation id
fGHz : np.array
frequency in GHz
Examples
--------
>>> from pylayers.simul.simultraj import *
>>> from pylayers.measures.cormoran import *
>>> C=CorSer()
>>> S=Simul(C,verbose=True)
>>> link={'ieee802154':[]}
>>> link['ieee802154'].append(S.N.links['ieee802154'][0])
>>> lt = [0,0.2,0.3,0.4,0.5]
>>> S.run(links=link,t=lt)
"""
defaults = {'OB': True,
'B2B': True,
'B2I': True,
'I2I': False,
'links': {},
'wstd': [],
't': np.array([]),
'btr':True,
'DLkwargs':{},
'replace_data':True,
'fmod':'force',
'fGHz':np.array([2.45])
}
for k in defaults:
if k not in kwargs:
kwargs[k] = defaults[k]
DLkwargs = kwargs.pop('DLkwargs')
links = kwargs.pop('links')
wstd = kwargs.pop('wstd')
OB = kwargs.pop('OB')
B2B = kwargs.pop('B2B')
B2I = kwargs.pop('B2I')
I2I = kwargs.pop('I2I')
fmod = kwargs.pop('fmod')
self.fGHz = kwargs.pop('fGHz')
self.todo.update({'OB':OB,'B2B':B2B,'B2I':B2I,'I2I':I2I})
# Check link attribute
if links == {}:
links = self.N.links
elif not isinstance(links, dict):
raise AttributeError('links is {wstd:[list of links]}, see self.N.links')
for k in links.keys():
checkl = [l in self.N.links[k] for l in links[k]]
if len(np.where(checkl==False)[0])>0:
# if sum(checkl) != len(self.N.links):
uwrong = np.where(np.array(checkl) is False)[0]
raise AttributeError(str(np.array(links)[uwrong])
+ ' links does not exist in Network')
wstd = links.keys()
# # Check wstd attribute
# if wstd == []:
# wstd = self.N.wstd.keys()
# elif not isinstance(wstd, list):
# wstd = [wstd]
checkw = [w in self.N.wstd.keys() for w in wstd]
if sum(checkw) != len(wstd):
uwrong = np.where(np.array(checkw) is False)[0]
raise AttributeError(str(np.array(wstd)[uwrong])
+ ' wstd are not in Network')
# force time attribute compliant
if not isinstance(kwargs['t'],np.ndarray):
if isinstance(kwargs['t'],list):
lt = np.array(kwargs['t'])
elif (isinstance(kwargs['t'], int)
or isinstance(kwargs['t'],float)):
lt = np.array([kwargs['t']])
else :
lt = kwargs['t']
#if len(lt) == 0:
# lt = self.time
# check time attribute
if kwargs['btr']:
if (lt[0] < self._tmin) or\
(lt[1] > self._tmax) :
raise AttributeError('Requested time range not available')
# self._traj is a copy of self.traj, which is affected by resampling.
# it is only a temporary attribute for a given run
# if len(lt) > 1:
# sf = 1/(1.*lt[1]-lt[0])
# self._traj = self.traj.resample(sf=sf, tstart=lt[0])
# else:
# self._traj = self.traj.resample(sf=1.0, tstart=lt[0])
# self._traj.time()
# self.time = self._traj.t
# self._time = pd.to_datetime(self.time,unit='s')
#
# Nested Loops
#
# time
# standard
# links
# evaldeter &| evalstat
#
#lt = self.get_sim_time(lt)
#self._time=self.get_sim_time(lt)
init = True
if kwargs['btr']:
tmin = lt[0]
tmax = lt[1]
Nt = int(2**lt[2])
ta = np.linspace(tmin,tmax,Nt)
it = np.hstack((np.r_[0],np.r_[pyu.bitreverse(Nt,int(lt[2]))]))
#trev = t[it]
else:
ta = kwargs['t']
it = range(len(ta))
## Start to loop over time
## ut : counter
## t : time value (s)
#for ut, t in enumerate(lt):
for ks,ut in enumerate(it):
t = ta[ut]
self.ctime = t
# update spatial configuration of the scene for time t
self.update_pos(t)
# print self.N.__repr__()
## Start to loop over available Wireless standard
##
for w in wstd:
## Start to loop over the chosen links stored in links
##
for na, nb, typ in links[w]:
# If type of link is valid (Body 2 Body,...)
#
if self.todo[typ]:
if self.verbose:
print '-'*30
print 'time:', t, '/', lt[-1] ,' time idx:', ut,
'/',len(ta),'/',ks
print 'processing: ',na, ' <-> ', nb, 'wstd: ', w
print '-'*30
eng = 0
#
# Invoque link deterministic simulation
#
# node : na
# node : nb
# wstd : w
#
self.evaldeter(na, nb,
w,
applywav=False,
fmod = fmod,
fGHz = self.fGHz,
**DLkwargs)
# if typ == 'OB':
# self.evalstat(na, nb)
# eng = self.SL.eng
# L = self.DL + self.SL
# self._ak = L.H.ak
# self._tk = L.H.tk
# else :
# Get alphak an tauk
self._ak = self.DL.H.ak
self._tk = self.DL.H.tk
aktk_id = str(ut) + '_' + na + '_' + nb + '_' + w
# this is a dangerous way to proceed !
# the id as a finite number of characters
while len(aktk_id)<40:
aktk_id = aktk_id + ' '
df = pd.DataFrame({ 'id_a': na,
'id_b': nb,
'x_a': self.N.node[na]['p'][0],
'y_a': self.N.node[na]['p'][1],
'z_a': self.N.node[na]['p'][2],
'x_b': self.N.node[nb]['p'][0],
'y_b': self.N.node[nb]['p'][1],
'z_b': self.N.node[nb]['p'][2],
'd': self.N.edge[na][nb]['d'],
'eng': eng,
'typ': typ,
'wstd': w,
'fcghz': self.N.node[na]['wstd'][w]['fcghz'],
'fbminghz': self.fGHz[0],
'fbmaxghz': self.fGHz[-1],
'nf': len(self.fGHz),
'aktk_id':aktk_id,
'sig_id': self.DL.dexist['sig']['grpname'],
'ray_id': self.DL.dexist['ray']['grpname'],
'Ct_id': self.DL.dexist['Ct']['grpname'],
'H_id': self.DL.dexist['H']['grpname'],
},columns=['id_a', 'id_b',
'x_a', 'y_a', 'z_a',
'x_b', 'y_b', 'z_b',
'd', 'eng', 'typ',
'wstd', 'fcghz',
'fbminghz', 'fbmaxghz', 'fstep', 'aktk_id',
'sig_id', 'ray_id', 'Ct_id', 'H_id'
],index= [t]) #self._time[ut]])
self.savepd(df)
def replace_data(self, df):
"""check if a dataframe df already exists in self.data
Parameters
----------
df : pd.DataFrame
Returns
-------
boolean
True if already exists
False otherwise
"""
self.data[(self.data.index == df.index) &
(self.data['id_a'] == df['id_a'].values[0]) &
(self.data['id_b'] == df['id_b'].values[0]) &
(self.data['wstd'] == df['wstd'].values[0])]=df.values
def check_exist(self, df):
"""check if a dataframe df already exists in self.data
Parameters
----------
df : pd.DataFrame
Returns
-------
boolean
True if already exists
False otherwise
"""
# check init case
if not len(self.data.index) == 0:
ud = self.data[(self.data.index == df.index) &
(self.data['id_a'] == df['id_a'].values[0]) &
(self.data['id_b'] == df['id_b'].values[0]) &
(self.data['wstd'] == df['wstd'].values[0])]
if len(ud) == 0:
return False
else :
return True
else :
return False
def savepd(self,df):
""" save data information of a simulation
Parameters
----------
df : one index data
Notes
-----
"""
filenameh5 = pyu.getlong(self.filename, pstruc['DIRLNK'])
store = pd.HDFStore(filenameh5)
#self.data=self.data.sort()
store.append('df',df)
store.close()
def loadpd(self):
""" load data from previous simulations
"""
filenameh5 = pyu.getlong(self.filename, pstruc['DIRLNK'])
store = pd.HDFStore(filenameh5)
#self.data = pd.read_hdf(filenameh5,'df')
self.data = store.get('df')
self.data.index.name='t'
self.data = self.data.sort()
def get_sim_time(self,t):
""" retrieve closest time value in regard of passed t value in parameter
"""
if not isinstance(t,list) and not isinstance(t,np.ndarray):
return np.array([self.time[np.where(self.time <=t)[0][-1]]])
else :
return np.array([self.get_sim_time(tt) for tt in t])[:,0]
def get_df_from_link(self,id_a,id_b,wstd=''):
""" Return a restricted data frame for a specific link
Parameters
----------
id_a : str
node id a
id_b: str
node id b
wstd: str
optionnal :wireslees standard
"""
if wstd == '':
return self.data[(self.data['id_a']==id_a) &
(self.data['id_b']==id_b)]
else :
return self.data[(self.data['id_a']==id_a) &
(self.data['id_b']==id_b) &
self.data['wstd']==wstd]
def update_pos(self, t):
""" update positions of devices and bodies for a given time index
Parameters
----------
t : int
time value
"""
# if a bodies are involved in simulation
if ((self.todo['OB']) or (self.todo['B2B']) or (self.todo['B2I'])):
nodeid = []
pos = []
devlist = []
orient = []
for up, person in enumerate(self.dpersons.values()):
person.settopos(self._traj[up], t=t, cs=True)
name = person.name
dev = person.dev.keys()
devlist.extend(dev)
#nodeid.extend([n + '_' + name for n in dev])
pos.extend([person.dcs[d][:, 0] for d in dev])
orient.extend([person.acs[d] for d in dev])
# TODO !!!!!!!!!!!!!!!!!!!!
# in a future version , the network update must also update
# antenna position in the device coordinate system
self.N.update_pos(devlist, pos, now=t)
self.N.update_orient(devlist, orient, now=t)
self.N.update_dis()
def get_value(self,**kwargs):
""" retrieve output parameter at a specific time
Parameters
----------
typ : list
list of parameters to be retrieved
(R | C |H | ak | tk | rss )
links: list
dictionnary of link to be evaluated (key is wtsd and value is a list of links)
(if [], all link are considered)
t: int or np.array
list of timestamp to be evaluated | singlr time instant
Returns
-------
output: dict
[link_key]['t']
['ak']
...
"""
# get time
defaults = {'t': 0,
'typ':['ak'],
'links': {},
'wstd':[],
'angles':False
}
for k in defaults:
if k not in kwargs:
kwargs[k] = defaults[k]
# allocate an empty dictionnary for wanted selected output
output={}
# manage time t can be a list or a float
t = kwargs['t']
t = self.get_sim_time(t)
dt = self.time[1]-self.time[0]
# manage links
plinks = kwargs['links']
links=[]
if isinstance(plinks,dict):
for l in plinks.keys():
links.extend(plinks[l])
if len(links) == 0:
raise AttributeError('Please give valid links to get values')
# output['t']=[]
# output['time_to_simul']=[]
# for each requested time step
for tt in t :
# for each requested links
for link in links:
linkname=link[0]+'-'+link[1]
if not output.has_key(linkname):
output[linkname] = {}
if not output[linkname].has_key('t'):
output[linkname]['t'] = []
# restrict global dataframe self.data to the specific link
df = self.get_df_from_link(link[0],link[1])
# restrict global dataframe self.data to the specific z
df = df[(df.index > tt-dt) & (df.index <= tt+dt)]
if len(df) != 0:
output[linkname]['t'].append(tt)
if len(df)>1:
print 'Warning possible issue in self.get_value'
line = df.iloc[-1]
# # get info of the corresponding timestamp
# line = df[(df['id_a'] == link[0]) & (df['id_b'] == link[1])].iloc[-1]
# if len(line) == 0:
# line = df[(df['id_b'] == link[0]) & (df['id_a'] == link[1])]
# if len(line) == 0:
# raise AttributeError('invalid link')
#retrieve correct position and orientation given the time
#self.update_pos(t=tt)
# antennas positions
#self.DL.a = self.N.node[link[0]]['p']
#self.DL.b = self.N.node[link[1]]['p']
# antennas orientation
#self.DL.Ta = self.N.node[link[0]]['T']
#self.DL.Tb = self.N.node[link[1]]['T']
# antennas object
#self.DL.Aa = self.N.node[link[0]]['ant']['antenna']
#self.DL.Ab = self.N.node[link[1]]['ant']['antenna']
# get the antenna index
#uAa_opt, uAa = self.DL.get_idx('A_map',self.DL.Aa._filename)
#uAb_opt, uAb = self.DL.get_idx('A_map',self.DL.Ab._filename)
if 'ak' in kwargs['typ'] or 'tk' in kwargs['typ'] or 'rss' in kwargs['typ']:
H_id = line['H_id'].decode('utf8')
# load the proper link
# parse index
lid = H_id.split('_')
#if (lid[5]==str(uAa))&(lid[6]==str(uAb)):
self.DL.load(self.DL.H,H_id)
if 'ak' in kwargs['typ']:
if not output[linkname].has_key('ak'):
output[linkname]['ak']=[]
output[linkname]['ak'].append(copy.deepcopy(self.DL.H.ak))
if 'tk' in kwargs['typ']:
if not output[linkname].has_key('tk'):
output[linkname]['tk']=[]
output[linkname]['tk'].append(copy.deepcopy(self.DL.H.tk))
if 'rss' in kwargs['typ']:
if not output[linkname].has_key('rss'):
output[linkname]['rss']=[]
output[linkname]['rss'].append(copy.deepcopy(self.DL.H.rssi()))
if 'R' in kwargs['typ']:
if not output[linkname].has_key('R'):
output[linkname]['R']=[]
ray_id = line['ray_id']
self.DL.load(self.DL.R,ray_id)
output[linkname]['R'].append(copy.deepcopy(self.DL.R))
if 'C' in kwargs['typ']:
if not output[linkname].has_key('C'):
output[linkname]['C']=[]
Ct_id = line['Ct_id']
self.DL.load(self.DL.C,Ct_id)
if kwargs['angles']:
self.DL.C.islocal=False
self.DL.C.locbas(Tt=self.DL.Ta, Tr=self.DL.Tb)
#T channel
output[linkname]['C'].append(copy.deepcopy(self.DL.C))
if 'H' in kwargs['typ']:
if not output[linkname].has_key('H'):
output[linkname]['H']=[]
H_id = line['H_id']
lid = H_id.split('_')
#if (lid[5]==str(uAa))&(lid[6]==str(uAb)):
self.DL.load(self.DL.H,H_id)
output[linkname]['H'].append(copy.deepcopy(self.DL.H))
# if time value not found in dataframe
else:
if not output[linkname].has_key('time_to_simul'):
output[linkname]['time_to_simul'] = []
output[linkname]['time_to_simul'].append(tt)
for l in output.keys():
if output[l].has_key('time_to_simul'):
print 'link', l , 'require simulation for timestamps', output[l]['time_to_simul']
return(output)
def get_link(self,**kwargs):
""" retrieve a Link specific time from a simultraj
Parameters
----------
typ : list
list of parameters to be retrieved
(ak | tk | R |C)
links: list
dictionnary of link to be evaluated (key is wtsd and value is a list of links)
(if [], all link are considered)
t: int or np.array
list of timestamp to be evaluated | singlr time instant
Returns
-------
DL : DLink
Examples
--------
>>> from pylayers.simul.simultraj import *
>>> from pylayers.measures.cormoran import *
>>> C=CorSer(serie=6i,day=11)
>>> S = Simul(C,verb ose=False)
>>> DL = S.get_link(typ=['R','C','H'])
...
"""
# get time
defaults = {'t': 0,
'typ':['ak'],
'links': {},
'wstd':[],
'angles':False
}
for k in defaults:
if k not in kwargs:
kwargs[k] = defaults[k]
output={}
# manage time
t = kwargs['t']
t = self.get_sim_time(t)
dt = self.time[1]-self.time[0]
# manage links
plinks = kwargs['links']
links=[]
if isinstance(plinks,dict):
for l in plinks.keys():
links.extend(plinks[l])
if len(links) == 0:
raise AttributeError('Please give valid links to get values')
# output['t']=[]
# output['time_to_simul']=[]
# for each requested time step
for tt in t :
# for each requested links
for link in links:
linkname=link[0]+'-'+link[1]
if not output.has_key(linkname):
output[linkname] = {}
if not output[linkname].has_key('t'):
output[linkname]['t'] = []
# restrict global dataframe self.data to the specific link
df = self.get_df_from_link(link[0],link[1])
# restrict global dataframe self.data to the specific z
df = df[(df.index > tt-dt) & (df.index <= tt+dt)]
if len(df) != 0:
output[linkname]['t'].append(tt)
if len(df)>1:
print 'Warning possible issue in self.get_link'
line = df.iloc[-1]
# # get info of the corresponding timestamp
# line = df[(df['id_a'] == link[0]) & (df['id_b'] == link[1])].iloc[-1]
# if len(line) == 0:
# line = df[(df['id_b'] == link[0]) & (df['id_a'] == link[1])]
# if len(line) == 0:
# raise AttributeError('invalid link')
#retrieve correct position and orientation given the time
self.update_pos(t=tt)
self.DL.a = self.N.node[link[0]]['p']
self.DL.b = self.N.node[link[1]]['p']
self.DL.Ta = self.N.node[link[0]]['T']
self.DL.Tb = self.N.node[link[1]]['T']
#self.DL.Aa = self.N.node[link[0]]['ant']['antenna']
#self.DL.Ab = self.N.node[link[1]]['ant']['antenna']
#H_id = line['H_id'].decode('utf8')
#self.DL.load(self.DL.H,H_id)
if 'R' in kwargs['typ']:
ray_id = line['ray_id']
self.DL.load(self.DL.R,ray_id)
if 'C' in kwargs['typ']:
Ct_id = line['Ct_id']
self.DL.load(self.DL.C,Ct_id)
if kwargs['angles']:
self.DL.C.islocal=False
self.DL.C.locbas(Tt=self.DL.Ta, Tr=self.DL.Tb)
if 'H' in kwargs['typ']:
H_id = line['H_id']
self.DL.load(self.DL.H,H_id)
return(self.DL)
def _show3(self, **kwargs):
""" 3D show using Mayavi
Parameters
----------
t: float
time index
link: list
[id_a, id_b]
id_a : node id a
id_b : node id b
'lay': bool
show layout
'net': bool
show net
'body': bool
show bodies
'rays': bool
show rays
"""
defaults = {'t': 0,
'link': [],
'wstd':[],
'lay': True,
'net': True,
'body': True,
'rays': True,
'ant': False
}
for k in defaults:
if k not in kwargs:
kwargs[k] = defaults[k]
link = kwargs['link']
self.update_pos(kwargs['t'])
if len(self.data) != 0:
df = self.data[self.data.index == pd.to_datetime(kwargs['t'])]
if len(df) != 0:
raise AttributeError('invalid time')
# default
if link ==[]:
line = df[df.index<=pd.to_datetime(0)]
link = [line['id_a'].values[0],line['id_b'].values[0]]
else :
# get info of the corresponding timestamp
line = df[(df['id_a'] == link[0]) & (df['id_b'] == link[1])]
if len(line) == 0:
line = df[(df['id_b'] == link[0]) & (df['id_a'] == link[1])]
if len(line) == 0:
raise AttributeError('invalid link')
rayid = line['ray_id'].values[0]
self.DL.a = self.N.node[link[0]]['p']
self.DL.b = self.N.node[link[1]]['p']
self.DL.Ta = self.N.node[link[0]]['T']
self.DL.Tb = self.N.node[link[1]]['T']
self.DL.load(self.DL.R,rayid)
self.DL._show3(newfig= False,
lay= kwargs['lay'],
rays= kwargs['rays'],
ant=False)
else :
self.DL._show3(newfig= False,
lay= True,
rays= False,
ant=False)
if kwargs['net']:
self.N._show3(newfig=False)
if kwargs['body']:
for p in self.dpersons:
self.dpersons[p]._show3(newfig=False,
topos=True,
pattern=kwargs['ant'])
# def _saveh5_init(self):
# """ initialization of the h5py file
# """
# filenameh5 = pyu.getlong(self.filename, pstruc['DIRLNK'])
# import ipdb
# try:
# f5 = h5py.File(filenameh5, 'w')
# f5.create_dataset('time', shape=self.time.shape, data=self.time)
# f5.close()
# except:
# f5.close()
# raise NameError('simultra.saveinit: \
# issue when writting h5py file')
def _saveh5(self, ut, ida, idb, wstd):
""" Save in h5py format
Parameters
----------
ut : int
time index in self.time
ida : string
node a index
idb : string
node b index
wstd : string
wireless standard of used link
Notes
-----
Dataset organisation:
simultraj_<trajectory_filename.h5>.h5
|
|time
| ...
|
|/<tidx_ida_idb_wstd>/ |attrs
| |a_k
| |t_k
Root dataset :
time : array
range of simulation time
Group identifier :
tidx : index in time dataset
ida : node a index in Network
idb : node b index in Network
wstd : wireless standar of link interest
Inside group:
a_k : alpha_k values
t_k : tau_k values
See Also
--------
pylayers.simul.links
"""
filenameh5 = pyu.getlong(self.filename, pstruc['DIRLNK'])
grpname = str(ut) + '_' + ida + '_' + idb + '_' + wstd
# try/except to avoid loosing the h5 file if
# read/write error
try:
fh5 = h5py.File(filenameh5, 'a')
if not grpname in fh5.keys():
fh5.create_group(grpname)
f = fh5[grpname]
# for k in kwargs:
# f.attrs[k] = kwargs[k]
f.create_dataset('alphak',
shape=self._ak.shape,
maxshape=(None),
data=self._ak)
f.create_dataset('tauk',
shape=self._tk.shape,
maxshape=(None),
data=self._tk)
else:
pass#print grpname + ' already exists in ' + filenameh5
fh5.close()
except:
fh5.close()
raise NameError('Simultraj._saveh5: issue when writting h5py file')
def _loadh5(self, grpname):
""" Load in h5py format
Parameters
----------
grpname : string
group name which can be found sin self.data aktk_idx column
Returns
-------
(ak, tk, conf)
ak : ndarray:
alpha_k
tk : ndarray:
alpha_k
"""
filenameh5 = pyu.getlong(self.filename, pstruc['DIRLNK'])
# try/except to avoid loosing the h5 file if
# read/write error
try:
fh5 = h5py.File(filenameh5, 'r')
if not grpname in fh5.keys():
fh5.close()
raise NameError(grpname + ' cannot be reached in ' + self.filename)
f = fh5[grpname]
# for k in f.attrs.keys():
# conf[k]=f.attrs[k]
ak = f['alphak'][:]
tk = f['tauk'][:]
fh5.close()
return ak, tk
except:
fh5.close()
raise NameError('Simultraj._loadh5: issue when reading h5py file')
def tocsv(self, ut, ida, idb, wstd,init=False):
filecsv = pyu.getlong(self._filecsv,pstruc['DIRLNK'])
with open(filecsv, 'a') as csvfile:
fil = csv.writer(csvfile, delimiter=';',
quoting=csv.QUOTE_MINIMAL)
if init:
keys = self.data.iloc[-1].keys()
data = [k for k in keys]
data .append('ak')
data .append('tk')
fil.writerow(data)
values = self.data.iloc[-1].values
data = [v for v in values]
sak = str(self._ak.tolist())
stk = str(self._tk.tolist())
data.append(sak)
data.append(stk)
fil.writerow(data)
class Simul(PyLayers):
""" Simulation Class
Methods
-------
gui()
graphical user interface
choose()
choose a simulation file in simuldir
info()
info about the simulation
showray(itx,irx,iray)
show a single ray
help()
help on using Simulation object
freq()
return the frequency base
save()
save Simulation file
layout
load a Layout file
load()
load Simulation
show3()
geomview vizualization
show3l(itx,irx)
geomview vizualization of link itx irx
show()
2D visualization of simulation with furniture
run(itx,irx)
run simulation for links (itx,irx)
cir(itx,irx,store_level=0,alpha=1.0)
Channel Impulse Response calculation
Attributes
----------
fileconf
filetauk
filetang
filerang
tx
rx
progress
indoor
mat
sl
Notes
------
This class group together all the parametrization files of a simulation
"""
def __init__(self, _filesimul='default.ini'):
self.filesimul = _filesimul
self.config = ConfigParser.ConfigParser()
self.config.add_section("files")
self.config.add_section("frequency")
self.config.add_section("waveform")
self.config.add_section("output")
self.dtang = {}
self.drang = {}
self.dtauk = {}
self.dfield = {}
self.dcir = {}
self.output = {}
#
# Here was a nasty bug : Rule for the future
# "Always precise the key value of the passed argument"
#
# Mal nommer les choses, c'est ajouter au malheur du monde ( Albert Camus )
#
self.tx = RadioNode(
name='',
typ='tx',
_fileini='radiotx.ini',
_fileant='defant.vsh3',
)
self.rx = RadioNode(
name='',
typ='rx',
_fileini='radiorx.ini',
_fileant='defant.vsh3',
)
self.filefreq = "def.freq"
self.progress = -1 # simulation not loaded
self.filetang = []
self.filerang = []
self.filetauk = []
self.filefield = []
self.fileconf = "project.conf"
self.cfield = []
self.fGHz = np.linspace(2, 11, 181, endpoint=True)
self.wav = wvf.Waveform()
self.load(_filesimul)
def gui(self):
""" gui to modify the simulation file
"""
simulgui = multenterbox(
'', 'Simulation file', ('filesimul', 'filestr', 'filefreq',
'filespaTx', 'filespaRx', 'fileantTx'
'fileantRx'),
(self.filesimul, self.filestr, self.filefreq, self.filespaTx,
self.filespaRx, self.fileantTx, self.fileantRx))
if simulgui is not None:
self.filesimul = simulgui[0]
self.filestr = simulgui[1]
self.filefreq = simulgui[6]
self.filespaTx = simulgui[7]
self.filespaRx = simulgui[8]
self.fileantTx = simulgui[9]
self.fileantRx = simulgui[10]
def updcfg(self):
""" update simulation .ini config file
with values currently in use.
"""
self.config.set("files", "struc", self.filestr)
self.config.set("files", "conf", self.fileconf)
self.config.set("files", "txant", self.tx.fileant)
self.config.set("files", "rxant", self.rx.fileant)
self.config.set("files", "tx", self.tx.fileini)
self.config.set("files", "rx", self.rx.fileini)
self.config.set("files", "mat", self.filematini)
self.config.set("files", "slab", self.fileslabini)
self.config.set("tud", "purc", str(self.patud.purc))
self.config.set("tud", "nrmax", str(self.patud.nrmax))
self.config.set("tud", "num", str(self.patud.num))
#
# frequency section
#
self.config.set("frequency", "fghzmin", self.fGHz[0])
self.config.set("frequency", "fghzmax", self.fGHz[-1])
self.config.set("frequency", "nf", str(len(self.fGHz)))
#
# waveform section
#
self.config.set("waveform", "tw", str(self.wav['twns']))
self.config.set("waveform", "band", str(self.wav['bandGHz']))
self.config.set("waveform", "fc", str(self.wav['fcGHz']))
self.config.set("waveform", "thresh", str(self.wav['threshdB']))
self.config.set("waveform", "type", str(self.wav['typ']))
self.config.set("waveform", "fe", str(self.wav['feGHz']))
#
# output section
#
for k in self.output.keys():
self.config.set("output", str(k), self.dout[k])
# Initialize waveform
self.wav = wvf.Waveform()
# Update waveform
self.wav.read(self.config)
self.save()
def clean_project(self, verbose=True):
"""
Clean Pyrpoject directory
remove .lch, .tra, .field .tud, .tauk, .tang, .rang, <pyproject>/output
remove [output] entries into .ini of self.filesimul
Parameters
----------
verbose : boolean
Verbose mode on/off
Returns
-------
Boolean:
True if the project has been cleaned, False otherwise
"""
if verbose:
print "-----------------------------------"
print "-----------------------------------"
print " WARNING "
print "-----------------------------------"
print "-----------------------------------"
print "You are about to remove ALL previous computed raytracing files."
print "If you decide to remove it, you will need to restart the entire \
raytracing simulation to exploit simulation results"
print "\n Do you want to remove these simulation files ? y/n"
r = raw_input()
else:
r == 'y'
if r == 'y':
inifile = self.filesimul
try:
path = os.getenv('BASENAME')
except:
print('Error : there is no project directory in $BASENAME')
dirlist = ['output']
extension = [
'.lch', '.field', '.tra', '.tud', '.tang', '.rang', '.tauk'
]
rindic = False
# remove file
for d in dirlist:
for ex in extension:
files = os.listdir(path + '/' + d)
for f in files:
if not os.path.isdir(path + '/' + d + '/' +
f) and ex in f:
rindic = True
if verbose:
print f
os.remove(path + '/' + d + '/' + f)
if rindic:
if verbose:
print 'removed *' + ex + ' from ' + d + '\n'
rindic = False
# remove output into the self.filesimul ini file
simcfg = ConfigParser.ConfigParser()
simcfg.read(pyu.getlong(inifile, pstruc['DIRSIMUL']))
simcfg.remove_section('output')
f = open(pyu.getlong(inifile, pstruc['DIRSIMUL']), 'wb')
simcfg.write(f)
f.close()
self.dout = {}
self.dlch = {}
self.dtra = {}
self.dtud = {}
self.dtang = {}
self.drang = {}
self.dtauk = {}
self.dfield = {}
self.dcir = {}
self.output = {}
if verbose:
print 'removed [output] entries into ' + inifile + '\n'
print 'Project CLEANED'
return True
else:
if verbose:
print "clean project process ABORTED"
return False
def save(self):
""" save simulation file
Simulation files are .ini files which are saved in a dedicated
directory basename/ini in the Project tree
"""
filesimul = pyu.getlong(self.filesimul, "ini")
fd = open(filesimul, "w")
# getting current spa file if any
try:
self.config.set("files", "tx", self.tx.fileini)
except:
pass
try:
self.config.set("files", "rx", self.rx.fileini)
except:
pass
self.config.write(fd)
fd.close()
# save tx
self.tx.save()
# save rx
self.rx.save()
# save slab and mat file
# --
# self.slab.save(self.fileslabini)
# self.slab.mat.save(self.filematini)
# --
# fix bug #189
# slab is a member of S.L not of S anymore
# mat is a member of S.L.sl not of S.slab
try:
self.L.sl.save(self.fileslabini)
except:
pass
try:
self.L.sl.mat.save(self.filematini)
except:
pass
# def saveold(self):
# """ save simulation file
# """
# filesimul = pyu.getlong(self.filesimul, "ini")
# fd = open(filesimul, "w")
# config = ConfigParser.ConfigParser()
# #
# # files section
# #
# #config.add_section("files")
# self.config.set("files", "conf", self.fileconf)
# self.config.set("files", "struc", self.filestr)
# self.config.set("files", "slab", self.fileslab)
# self.config.set("files", "mat", self.filemat)
# try:
# self.config.set("files", "tx", self.tx.filespa)
# except:
# pass
# try:
# self.config.set("files", "rx", self.rx.filespa)
# except:
# pass
# try:
# self.config.set("files", "txant", self.tx.fileant)
# except:
# pass
# try:
# self.config.set("files", "rxant", self.rx.fileant)
# except:
# pass
# self.config.set("files", "patra", self.filepatra)
# self.config.set("files", "palch", self.filepalch)
# self.palch.save()
# self.patra.save()
# #
# # tud section
# #
# self.config.set("tud", "purc", self.patud.purc)
# self.config.set("tud", "nrmax", self.patud.nrmax)
# self.config.set("tud", "num", self.patud.num)
# #
# # frequency section
# #
# self.config.set("frequency", "fghzmin", self.freq[0])
# self.config.set("frequency", "fghzmax", self.freq[-1])
# self.config.set("frequency", "Nf", len(self.freq))
# #
# # output section
# #
# #filelch exists
# if self.progress > 0:
# #config.add_section("output")
# for k in range(len(self.filelch)):
# _fileout = "out" + "???"
# filename = self.filelch[k]
# self.config.set("launch", str(k + 1), filename)
# # filetra exists
# for k in range(len(self.filelch)):
# if self.progress > 1:
# #self.config.add_section("trace")
# for l in arange(len(self.filetra[k])):
# filename = self.filetra[k][l]
# self.config.set("trace", "rx" + str(l + 1), filename)
# # .tang exists
# # .rang exists
# # .tud exists
# if self.progress > 2:
# #config.add_section("tud")
# #config.add_section("tang")
# #config.add_section("rang")
# for l in arange(len(self.filetud[k])):
# ftud = self.filetud[k][l]
# self.config.set("tud", "rx" + str(l + 1), ftud)
# for l in arange(len(self.filetang[k])):
# ftang = self.filetang[k][l]
# self.config.set("tang", "rx" + str(l + 1), ftang)
# for l in arange(len(self.filerang[k])):
# frang = self.filerang[k][l]
# self.config.set("rang", "rx" + str(l + 1), frang)
# # .field exist
# # .tauk exist
# if self.progress > 3:
# #config.add_section("tauk")
# #config.add_section("field")
# for l in arange(len(self.filetud[k])):
# ftauk = self.filetud[k][l]
# self.config.set("tauk", "rx" + str(l + 1), ftauk)
# for l in arange(len(self.filefield[k])):
# ffield = self.filefield[k][l]
# self.config.set("field", "rx" + str(l + 1), ffield)
# self.config.write(fd)
# fd.close()
def save_project(self):
""" save Simulation files in a zipfile
Simulation files are .ini files which are saved in a dedicated
directory basename/ini in the Project tree
"""
root = Tkinter.Tk()
zipfileName = tkFileDialog.asksaveasfilename(
parent=root,
filetypes=[("zipped file", "zip")],
title="Save Project",
)
pyu.zipd(basename, zipfileName)
root.withdraw()
print "Current project saved in", zipfileName
def load_project(self):
""" load Simulation files from a zipfile
Simulation files are .ini files which are saved in a dedicated
directory basename/ini in the Project tree
"""
root = Tkinter.Tk()
zipfileName = tkFileDialog.askopenfile(parent=root,
mode='rb',
title='Choose a project')
dirname = tkFileDialog.askdirectory(parent=root,
initialdir=basename,
title='Please select a directory',
mustexist=0)
pyu.unzipd(dirname, zipfileName)
root.withdraw()
print "Current project loaded in", dirname
def choose(self):
"""
Choose a simulation file in simuldir
"""
import tkFileDialog as FD
fichsimul = FD.askopenfilename(filetypes=[("Fichiers simul ",
"*.simul"), ("All", "*")],
title="Please choose a simulation file",
initialdir=simuldir)
self.filesimul = pyu.getshort(fichsimul)
self.load()
def load(self, _filesimul):
""" load a simulation configuration file
each transmiter simulation results in the creation of an .ini file
with the following sections
related to the results obtained for different receivers
Parameters
----------
_filesimul : file in the simul directory of the Project
"""
self.filesimul = _filesimul
filesimul = pyu.getlong(self.filesimul, "ini")
self.config.read(filesimul)
sections = self.config.sections()
try:
_filetx = self.config.get("files", "tx")
except:
raise NameError('Error in section tx from ' + _filesimul)
try:
_filerx = self.config.get("files", "rx")
except:
raise NameError('Error in section rx from ' + _filesimul)
try:
_fileini = self.config.get("files", "struc")
except:
raise NameError('Error in section struc from ' + _fileini)
try:
_fileanttx = self.config.get("files", "txant")
except:
raise NameError('Error in section txant from ' + _filesimul)
try:
_fileantrx = self.config.get("files", "rxant")
except:
raise NameError('Error in section rxant from ' + _filesimul)
try:
self.tx = RadioNode(name='',
typ='tx',
_fileini=_filetx,
_fileant=_fileanttx)
self.rx = RadioNode(name='',
typ='rx',
_fileini=_filerx,
_fileant=_fileantrx)
except:
raise NameError('Error during Radionode load')
#
# Load Layout
#
try:
self.L = Layout(_fileini)
except:
raise NameError('Layout load error')
#
# Frequency base
#
if "frequency" in sections:
try:
self.fGHz = np.linspace(
float(self.config.getfloat("frequency", "fghzmin")),
float(self.config.getfloat("frequency", "fghzmax")),
int(self.config.getint("frequency", "nf")),
endpoint=True)
except:
raise NameError('Error in section frequency from ' +
_filesimul)
# update .freq file in tud directory
filefreq = pyu.getlong(self.filefreq, pstruc['DIRTUD'])
fd = open(filefreq, "w")
chaine = self.config.get("frequency", "fghzmin") + ' ' + \
self.config.get("frequency", "fghzmax") + ' ' + \
self.config.get("frequency", "nf")
fd.write(chaine)
fd.close
#
# Simulation Progress
#
# self.output = {}
# if "output" in sections:
# for itx in self.config.options("output"):
# _filename = self.config.get("output", itx)
# self.dout[int(itx)] = _filename
# filename = pyu.getlong(_filename, "output")
# output = ConfigParser.ConfigParser()
# output.read(filename)
# secout = output.sections()
# self.dtra[int(itx)] = {}
# self.dtud[int(itx)] = {}
# self.dtang[int(itx)] = {}
# self.drang[int(itx)] = {}
# self.dtauk[int(itx)] = {}
# self.dfield[int(itx)] = {}
# self.dcir[int(itx)] = {}
# if "launch" in secout:
# self.progress = 1
# keys_launch = output.options("launch")
# for kl in keys_launch:
# self.dlch[int(kl)] = output.get("launch", kl)
# if "trace" in secout:
# self.progress = 2
# keys_tra = output.options("trace")
# for kt in keys_tra:
# self.dtra[int(itx)][int(kt)] = output.get("trace", kt)
#
# if "tang" in secout:
# self.progress = 3
# keys_tang = output.options("tang")
# for kt in keys_tang:
# self.dtang[int(itx)][int(kt)] = output.get("tang", kt)
# self.drang[int(itx)][int(kt)] = output.get("rang", kt)
# self.dtud[int(itx)][int(kt)] = output.get("tud", kt)
# if "field" in secout:
# self.progress = 4
# keys_field = output.options("field")
# for kt in keys_field:
# self.dfield[int(itx)][int(kt)] = output.get(
# "field", kt)
# self.dtauk[int(itx)][int(kt)] = output.get("tauk", kt)
# if "cir" in secout:
# self.progress = 5
# keys_cir = output.options("cir")
# for kt in keys_cir:
# self.dcir[int(itx)][int(kt)] = output.get("cir", kt)
#
# self.output[int(itx)] = output
#
# Waveform section
#
self.wav = wvf.Waveform()
self.wav.read(self.config)
def layout(self, _filestruc):
""" load a layout in the simulation oject
Parameters
----------
_filestruc : string
short file name of the Layout object
Examples
--------
>>> from pylayers.simul.simulem import *
>>> S = Simul()
>>> S.layout('defstr.ini')
"""
self.filestr = _filestruc
self.L = Layout(_filestruc)
# update config
self.config.set("files", "struc", self.filestr)
self.save()
#def show(self, itx=[-1], irx=[-1], furniture=True, s=8, c='b', traj=False, num=False,fig=[],ax=[]):
def show(self, **kwargs):
""" show simulation
Parameters
-----------
itx : list of tx indices
irx : list of rx indices
furniture : boolean for METALIC furniture display
s : scale fir scatter plot (default 8)
c : color for scatter plot (default 'b')
traj : boolean (def False)
num : boolean (def False)
display a number
Examples
--------
>>> import matplotlib.pyplot as plt
>>> from pylayers.simul.simulem import *
>>> S = Simul()
>>> S.load('w1.ini')
>>> S.L.loadfur('FurW1.ini')
>>> S.show()
>>> plt.show()
"""
defaults = {
'itx': [-1],
'irx': [-1],
'furniture': True,
's': 8,
'c': 'b',
'num': False,
'fig': [],
'ax': [],
'aw': False
}
for k in defaults:
if k not in kwargs:
kwargs[k] = defaults[k]
st = k + "=kwargs['" + k + "']"
exec(st)
if type(itx) == int:
itx = [itx]
if type(irx) == int:
irx = [irx]
if fig == []:
fig = plt.gcf()
if ax == []:
ax = fig.gca()
#self.L.display['scaled']=False
fig, ax = self.L.showG('s', fig=fig, ax=ax, aw=aw)
#
if furniture:
if 'lfur' in self.L.__dict__:
for fur in self.L.lfur:
if fur.Matname == 'METAL':
fur.show(fig, ax)
else:
print "Warning : no furniture file loaded"
if irx[0] == -1:
ax.scatter(self.rx.position[0, :],
self.rx.position[1, :],
c='b',
s=s,
alpha=0.5)
#ax.scatter(self.rx.position[0,0],self.rx.position[0,1],c='k',s=s,linewidth=0)
#ax.scatter(self.rx.position[1,0],self.rx.position[1,1],c='b',s=s,linewidth=0)
#ax.scatter(self.rx.position[2,0],self.rx.position[2,1],c='g',s=s,linewidth=0)
#ax.scatter(self.rx.position[3,0],self.rx.position[3,1],c='c',s=s,linewidth=0)
else:
for k in irx:
ax.scatter(self.rx.position[0, k - 1],
self.rx.position[1, k - 1],
c='b',
s=s,
alpha=0.5)
if num:
ax.text(self.rx.position[0, k - 1],
self.rx.position[1, k - 1],
str(k),
color='blue')
if itx[0] == -1:
ax.scatter(self.tx.position[0, :],
self.tx.position[1, :],
c='r',
s=s)
else:
if traj:
cpt = 1
for k in itx:
ax.scatter(self.tx.position[0, k - 1],
self.tx.position[1, k - 1],
c=c,
s=s,
linewidth=0)
if num:
if traj:
ax.text(self.tx.position[0, k - 1],
self.tx.position[1, k - 1],
str(cpt),
color='black')
cpt = cpt + 1
else:
ax.text(self.tx.position[0, k - 1],
self.tx.position[1, k - 1],
str(k),
color='black')
return (fig, ax)
#for k in range(self.tx.N):
# ax.text(self.tx.position[0,k],self.tx.position[1,k],str(k+1),color='black')
# ax.scatter(self.tx.position[0,:],self.tx.position[0,:],
#for k in range(self.rx.N):
# ax.text(self.rx.position[0,k],self.rx.position[1,k],str(k),color='black')
def PL(self, itx):
""" plot Path Loss
itx
"""
td = []
tEa = []
tEo = []
for irx in self.dcir[itx].keys():
d = self.delay(itx, irx) * 0.3
cira, ciro = self.loadcir(itx, irx)
td.append(d)
tEa.append(Ea)
tEo.append(Eo)
plt.semilogx(td, 10 * np.log10(tEa), 'xr')
plt.semilogx(td, 10 * np.log10(tEo), 'xb')
plt.show()
return td, tEa, tEo
def eval(self, **kwrgs):
"""
"""
for kt in range(Nb_tx):
tx = np.array([
self.tx.position[0, kt + 1], self.tx.position[1, kt + 1],
self.tx.position[2, kt + 1]
])
link.a = tx
for kr in range(Nb_Run):
rx = np.array([
S.rx.position[0, Run], S.rx.position[1, Run],
S.rx.position[2, Run]
])
link.b = rx
tic = time.clock()
ak, tk = link.eval(verbose=False, diffraction=True)
toc = time.clock()
ciro = link.H.applywav(wav.sfg)
cir = bs.TUsignal(ciro.x, np.squeeze(np.sum(ciro.y, axis=0)))
tac = time.clock()
tcir[Run] = cir
print toc - tic, tac - toc
def evalcir(self, cutoff=4, algo='new'):
"""
Parameters
----------
S
tx
rx
wav
cutoff
"""
crxp = -1
ctxp = -1
tcir = {}
tx = self.tx.position
Ntx = len(tx[0])
rx = self.rx.position
Nrx = len(rx[0])
#for kt in range(1,Ntx-1):
#print kt+1
kt = 0
tcir[kt] = {}
t = np.array([
self.tx.position[0, kt], self.tx.position[1, kt],
self.tx.position[2, kt]
])
for kr in range(Nrx):
if (np.mod(kr, 10) == 0):
print kr + 1
r = np.array([
self.rx.position[0, kr], self.rx.position[1, kr],
self.rx.position[2, kr]
])
ctx = self.L.pt2cy(t)
crx = self.L.pt2cy(r)
if (ctx <> ctxp) | (crx <> crxp):
Si = signature.Signatures(self.L, ctx, crx)
ctxp = ctx
crxp = crx
Si.run4(cutoff=cutoff, algo=algo)
r2d = Si.rays(t, r)
#r2d.show(S.L)
r3d = r2d.to3D(self.L)
r3d.locbas(self.L)
r3d.fillinter(self.L)
Ct = r3d.eval(self.fGHz)
sca = Ct.prop2tran(self.tx.A, self.rx.A)
cir = sca.applywavB(self.wav.sfg)
tcir[kt][kr] = cir
return (tcir)
def loadcir(self, itx, irx):
"""
Parameters
----------
itx : Tx index
irx : Rx index
Returns
-------
cir(itx,irx)
"""
_filecir = self.dcir[itx][irx] + '.mat'
ext = str(itx)
if len(ext) == 1:
ext = '00' + ext
if len(ext) == 2:
ext = '0' + ext
filecir = pyu.getlong(_filecir, pstruc['DIRCIR'] + '/Tx' + ext)
D = spio.loadmat(filecir)
kxa = 'ta' + str(irx)
kya = 'cira' + str(irx)
kxo = 'to' + str(irx)
kyo = 'ciro' + str(irx)
cira = bs.TUsignal(D[kxa], D[kya][:, 0])
ciro = bs.TUsignal(D[kxo], D[kyo][:, 0])
return (cira, ciro)
def pltcir(self,
itx=1,
irx=1,
mode='linear',
noise=False,
color='b',
format='a',
fig=[],
ax=[]):
""" plot Channel Impulse Response
Parameters
----------
itx : Tx index
irx : Rx index
mode : str
{'linear','dB'}
noise : boolean
color : string
default 'b'
>>> from pylayers.simul.simulem import *
>>> S = Simul()
>>> S.load('where2.ini')
>>> S.run(1,1)
>>> S.pltcir(1,1,mode='linear',noise=False,color='k')
"""
if fig == []:
fig = plt.gcf()
#if ax==[]:
# ax = fig.gca()
_filecir = self.dcir[itx][irx] + '.mat'
filecir = pyu.getlong(_filecir,
pstruc['DIRCIR'] + '/Tx' + str('%0.3d' % itx))
D = spio.loadmat(filecir)
ax = fig.add_subplot('211')
fig, ax = self.show(itx, irx, fig=fig, ax=ax)
ax = fig.add_subplot('212')
if 'a' in format:
kxa = 't'
kya = 'cir'
ta = D[kxa]
Tobs = ta[-1] - ta[0]
te = ta[1] - ta[0]
if noise:
na = bs.Noise(Tobs + te, 1. / te)
naf = na.gating(4.493, 0.5)
cira = bs.TUsignal(ta, D[kya][:, 0])
if 'o' in format:
kxo = 'to' + str(irx)
kyo = 'ciro' + str(irx)
to = D[kxo]
Tobs = to[-1] - to[0]
te = to[1] - to[0]
if noise:
no = bs.Noise(Tobs + te, 1. / te)
nof = no.gating(4.493, 0.5)
ciro = bs.TUsignal(to, D[kyo][:, 0])
if mode == 'linear':
#plt.plot(ta,naf.y,color='k',label='Noise')
plt.plot(ta, D[kya], label='Rx ' + str(irx), color=color)
plt.xlabel('Time (ns)')
'''if noise:
naf.plot(col='k')
cira.plot(col=color)'''
else:
'''if noise:
naf.plotdB(col='k')
cira.plotdB()'''
plt.plot(ta,
20 * np.log10(abs(D[kya])),
label='Rx ' + str(irx),
color=color)
plt.xlabel('Time (ns)')
# plt.legend()
plt.show()
#plt.savefig('Tx'+str(itx),format=pdf,dpi=300)
def scatter(self,
itx,
irx,
values,
cmap=plt.cm.gray,
s=30,
spl=221,
title='',
vaxis=((-30, 10, 2, 18)),
vmin=0,
vmax=1,
colbool=False,
cblabel='dB'):
"""
Parameters
----------
itx
irx
values
cmap
s
spl
title
vaxis
vmin
vmax
colbool
clabel
"""
fig = plt.gcf()
ax = fig.add_subplot(spl)
xtx = self.tx.position[itx, 0]
ytx = self.tx.position[itx, 1]
xrx = self.rx.position[irx, 0]
yrx = self.rx.position[irx, 1]
self.L.display['title'] = title
self.L.showGs(ax)
for furk in siradel.siradel_furniture.keys():
fur = siradel.siradel_furniture[furk]
if fur.Matname == 'METAL':
fur.show(fig, ax)
#self.show(furniture=True)
plt.axis(vaxis)
b1 = ax.scatter(xtx,
ytx,
s=s,
c=values,
cmap=cmap,
linewidths=0,
vmin=vmin,
vmax=vmax)
ax.scatter(xrx, yrx, s=30, c='b', linewidths=0)
if colbool:
cb = colorbar(b1)
cb.set_label(cblabel, fontsize=14)
return (b1)
def info(self, itx=[], irx=[]):
""" display simulation information
Parameters
----------
itx : Tx index
irx : Rx index
"""
print self.filesimul
print '------------------------------------------'
try:
print "Layout Info : \n", self.L.info()
except:
print "provide a Layout in the simulation : S.L "
print ">>> S.layout(filename.str) "
print "or "
print ">>> S.layout(filename.str2 "
print "or "
print ">>> S.layout(filename.str,filematini,filematini) "
print "default files exists for filematini and fileslabini "
return
try:
print "Tx Info :\n", self.tx.info()
except:
print "provide a tx in the simulation : S.tx "
return
try:
print "Rx Info :\n", self.rx.info()
except:
print "provide a rx in the simulation : S.rx "
return
# print "Tx : ",self.tx.points[itx]
print "Rx : ", self.rx.points[itx]
print "Delay (ns) :", self.delay(itx, irx)
print "Distance (m) :", 0.3 / self.delay(itx, irx)
print ""
if itx in self.dlch.keys():
print "-----"
print "Launching "
print "-----"
print " ", self.dlch[itx]
if irx in self.dtra[itx].keys():
print "-----"
print "Tracing "
print "-----"
print " ", self.dtra[itx][irx]
gr = GrRay3D()
gr.load(self.dtra[itx][irx], self.L)
gr.info()
if irx in self.dtud[itx].keys():
print "-----"
print "Tud parameters "
print "-----"
print " ", self.dtud[itx][irx]
print " ", self.dtang[itx][irx]
print " ", self.drang[itx][irx]
gt = GrRay3D.GrRayTud()
gt.load(self.dtud[itx][irx], self.dtang[itx][irx],
self.drang[itx][irx], self.sl)
if irx in self.dtauk[itx].keys():
print self.dtauk[itx][irx]
print self.dfield[itx][irx]
VC = self.VC(itx, irx)
if irx in self.dcir[itx].keys():
print self.dcir[itx][irx]
def info2(self):
for i, j in enumerate(self.__dict__.keys()):
print j, ':', self.__dict__.values()[i]
def filtray(self, itx, irx, tau0, tau1, col='b'):
""" filter rays
Parameters
----------
itx :
irx :
tau0 :
tau1 :
col :
Display ray and nstr
"""
gr = GrRay3D()
gr.load(self.dtra[itx][irx], self.L)
self.L.display['Thin'] = True
self.L.display['Node'] = False
self.L.display['NodeNum'] = False
self.L.display['EdgeNum'] = False
plt.axis('scaled')
#self.L.show(fig,ax,nodelist,seglist)
self.L.showGs()
delays = gr.delay()
rayset = np.nonzero((delays >= tau0) & (delays <= tau1))[0]
fig = plt.gcf()
ax = fig.get_axes()[0]
gr.show(ax, rayset, col=col, node=False)
plt.title('Tx' + str(itx) + '-Rx' + str(irx) + ' : ' + str(tau0) +
' < tau < ' + str(tau1))
def showray(self, itx, irx, iray=np.array([]), fig=[], ax=[]):
""" show layout and rays for a radio link
Parameters
----------
itx : tx index
irx : rx index
iray : list of rays to be displayed ndarray
"""
#if ax==[]:
# fig = plt.figure()
# ax = fig.add_subplot('111')
gr = GrRay3D()
gr.load(self.dtra[itx][irx], self.L)
if len(iray == 1):
ray = gr.ray3d[iray[0]]
nstr = ray.nstr[1:-1]
uneg = np.nonzero(nstr < 0)
upos = np.nonzero((nstr > 0) & (nstr <= self.L.Ne))
uceil = np.nonzero(nstr == self.L.Ne + 1)
ufloor = np.nonzero(nstr == self.L.Ne + 2)
#seglist = nstr[upos[0]]-1
#nodelist = -nstr[uneg[0]]-1
#seglist2 = S.L.segpt(nodelist)
self.L.display['Thin'] = True
self.L.display['Node'] = False
self.L.display['NodeNum'] = False
self.L.display['EdgeNum'] = False
#self.L.show(fig,ax)
#print ray.nn
#print len(ray.nstr)
#print ray.nstr
#print nodelist
#print seglist
#print seglist2
#seglist = hstack((seglist,seglist2))
self.L.display['Node'] = False
self.L.display['Thin'] = False
self.L.display['NodeNum'] = True
self.L.display['EdgeNum'] = True
plt.axis('scaled')
#self.L.show(fig,ax,nodelist,seglist)
fig, ax = self.L.showGs(show=False)
gr.show(ax, iray, col='b', node=False)
if len(iray) == 1:
plt.title(str(nstr))
else:
plt.title('Tx' + str(itx) + '-Rx' + str(irx) + ' ' +
str(min(iray)) + ' ' + str(max(iray)))
def show3l(self, itx, irx):
""" geomview display of a specific link
g = S.show3l(itx,irx)
Parameters
----------
itx
transmitter index
irx
receiver index
"""
filetra = self.dtra[itx][irx]
gr = GrRay3D()
gr.load(filetra, self.L)
gr.show3()
return (gr)
def _show3(self, rays=[], newfig=False, **kwargs):
""" display of the simulation configuration
using Mayavi
Parameters
----------
rays: Ray3d object :
display the rays of the simulation
newfig : boolean (default : False)
kwargs of Rays.show3()
see also
--------
pylayers.gis.layout
pylayers.antprop.antenna
pylayers.antprop.rays
"""
Atx = self.tx.A
Arx = self.rx.A
Ttx = self.tx.orientation
Trx = self.rx.orientation
ptx = self.tx.position
prx = self.rx.position
self.L._show3(newfig=False, opacity=0.7)
Atx._show3(T=Ttx.reshape(3, 3),
po=ptx,
title=False,
colorbar=False,
newfig=False)
Arx._show3(T=Trx.reshape(3, 3),
po=prx,
title=False,
colorbar=False,
newfig=False)
if rays != []:
rays._show3(**kwargs)
def show3(self, rays=[], **kwargs):
""" geomview display of the simulation configuration
Parameters
----------
centered : boolean
center the scene if True
bdis : boolean
display local basis
"""
try:
self.tx.save()
except:
print('tx set is no defined')
try:
self.rx.save()
except:
print('rx set is no defined')
_filename = self.filesimul.replace('.ini', '.off')
filename = pyu.getlong(_filename, pstruc['DIRGEOM'])
fo = open(filename, "w")
fo.write("LIST\n")
try:
sttx = "{<" + self.tx.filegeom + "}\n"
except:
sttx = "\n"
try:
strx = "{<" + self.rx.filegeom + "}\n"
except:
strx = "\n"
try:
stst = "{<" + self.L.filegeom + "}\n"
except:
stst = "\n"
fo.write(sttx)
fo.write(strx)
fo.write(stst)
fo.write("{</usr/share/geomview/geom/xyz.vect}\n")
if rays != []:
kwargs['bdis'] = False
kwargs['L'] = self.L
kwargs['centered'] = False
fo.write("{<" + rays.show3(**kwargs) + "}")
fo.close()
command = "geomview -nopanel -b 1 1 1 " + filename + " 2>/dev/null &"
os.system(command)
def run(self, link, cirforce=True, verbose=False, cutoff=4):
""" run the simulation for 1 tx and a set of rx
Parameters
----------
itx : tx index
srx : list of rx index
cirforce : boolean
Warnings
--------
index point start with 1
Example
-------
>>> from pylayers.simul.simulem import *
>>> itx = 1
>>> srx = [1,2,3]
>>> S = Simul()
>>> S.load('where2.ini')
>>> out = S.run(itx,srx)
"""
# get file prefix
dl = DLink(force=True, L=self.L, fGHz=self.fGHz, verbose=False)
prefix = self.filesimul.replace('.ini', '')
lsig = []
self.chan = {}
for k, il in enumerate(link):
tx = self.tx.points[il[0]]
rx = self.rx.points[il[1]]
ctx = self.L.pt2cy(tx)
crx = self.L.pt2cy(rx)
_filecir = prefix + '-cir-' + str(k) + '-' + str(link) + '-' + str(
(ctx, crx))
D = {}
D['Tx'] = tx
D['Rx'] = rx
dl.a = tx
dl.b = rx
ak, tauk = dl.eval(verbose=False, diffraction=True)
self.chan[k] = dl
#cira = dl.H.applywavB(self.wav.sf)
#cira = dl.H.applywavB(self.wav.sfg)
#D['t'] = cira.x
#D['cir'] = cira.y
#filename = pyu.getlong(_filecir, 'output')
#spio.savemat(filename, D)
def delay(self, itx, irx):
""" calculate LOS link delay
Parameters
----------
itx
irx
Returns
-------
delay : float
delay in ns
"""
tx = self.tx.points[itx]
rx = self.rx.points[irx]
df = tx - rx
dist = np.sqrt(np.dot(df, df))
return (dist / 0.3)
class Coverage(object):
""" Handle Layout Coverage
Methods
-------
create grid()
create a uniform grid for evaluating losses
cover()
run the coverage calculation
showPower()
display the map of received power
showLoss()
display the map of losses
Attributes
----------
All attributes are read from fileini ino the ini directory of the
current project
_fileini
default coverage.ini
L : a Layout
model : a pylayers.network.model object.
nx : number of point on x
ny : number of point on y
tx : transmitter position
txpe : transmitter power emmission level
show : boolean for automatic display power map
"""
def __init__(self,_fileini='coverage.ini'):
self.config = ConfigParser.ConfigParser()
self.config.read(pyu.getlong(_fileini,pstruc['DIRSIMUL']))
self.plm = dict(self.config.items('pl_model'))
self.layoutopt = dict(self.config.items('layout'))
self.gridopt = dict(self.config.items('grid'))
self.txopt = dict(self.config.items('tx'))
self.rxopt = dict(self.config.items('rx'))
self.showopt = dict(self.config.items('show'))
self.L = Layout(self.layoutopt['filename'])
self.model = PLSmodel(f=eval(self.plm['fghz']),
rssnp=eval(self.plm['rssnp']),
d0=eval(self.plm['d0']),
sigrss=eval(self.plm['sigrss']))
self.nx = eval(self.gridopt['nx'])
self.ny = eval(self.gridopt['ny'])
self.mode = eval(self.gridopt['full'])
self.boundary = eval(self.gridopt['boundary'])
# transitter section
self.fGHz = eval(self.txopt['fghz'])
self.tx = np.array((eval(self.txopt['x']),eval(self.txopt['y'])))
self.ptdbm = eval(self.txopt['ptdbm'])
self.framelengthbytes = eval(self.txopt['framelengthbytes'])
# receiver section
self.rxsens = eval(self.rxopt['sensitivity'])
kBoltzmann = 1.3806503e-23
self.bandwidthmhz = eval(self.rxopt['bandwidthmhz'])
self.temperaturek = eval(self.rxopt['temperaturek'])
self.noisefactordb = eval(self.rxopt['noisefactordb'])
Pn = (10**(self.noisefactordb/10.)+1)*kBoltzmann*self.temperaturek*self.bandwidthmhz*1e3
self.pndbm = 10*np.log10(Pn)+60
self.show = str2bool(self.showopt['show'])
try:
self.L.Gt.nodes()
except:
pass
try:
self.L.dumpr('t')
except:
self.L.buildGt()
self.L.dumpw('t')
self.creategrid(full=self.mode,boundary=self.boundary)
def __repr__(self):
st=''
st= st+ 'tx :'+str(self.txopt) + '\n'
st= st+ 'rx :'+str(self.rxopt) + '\n'
def creategrid(self,full=True,boundary=[]):
""" create a grid
Parameters
----------
full : boolean
default (True) use all the layout area
boundary : (xmin,ymin,xmax,ymax)
if full is False the boundary is used
"""
if full:
mi=np.min(self.L.Gs.pos.values(),axis=0)+0.01
ma=np.max(self.L.Gs.pos.values(),axis=0)-0.01
else:
mi = np.array([boundary[0],boundary[1]])
ma = np.array([boundary[2],boundary[3]])
x=np.linspace(mi[0],ma[0],self.nx)
y=np.linspace(mi[1],ma[1],self.ny)
self.grid=np.array((list(np.broadcast(*np.ix_(x, y)))))
def cover(self):
""" start the coverage calculation
Examples
--------
.. plot::
:include-source:
>>> from pylayers.antprop.coverage import *
>>> C = Coverage()
>>> C.cover()
>>> C.showPr()
"""
self.Lwo,self.Lwp,self.Edo,self.Edp = Loss0_v2(self.L,self.grid,self.model.f,self.tx)
self.freespace = PL(self.grid,self.model.f,self.tx)
self.prdbmo = self.ptdbm - self.freespace - self.Lwo
self.prdbmp = self.ptdbm - self.freespace - self.Lwp
self.snro = self.prdbmo - self.pndbm
self.snrp = self.prdbmp - self.pndbm
def showEd(self,polarization='o'):
""" show direct path excess of delay map
Examples
--------
.. plot::
:include-source:
>>> from pylayers.antprop.coverage import *
>>> C = Coverage()
>>> C.cover()
>>> C.showEdo()
"""
fig=plt.figure()
fig,ax=self.L.showGs(fig=fig)
l=self.grid[0,0]
r=self.grid[-1,0]
b=self.grid[0,1]
t=self.grid[-1,-1]
if polarization=='o':
cov=ax.imshow(self.Edo.reshape((self.nx,self.ny)).T,
extent=(l,r,b,t),
origin='lower')
titre = "Map of LOS excess delay, polar orthogonal"
if polarization=='p':
cov=ax.imshow(self.Edp.reshape((self.nx,self.ny)).T,
extent=(l,r,b,t),
origin='lower')
titre = "Map of LOS excess delay, polar parallel"
ax.scatter(self.tx[0],self.tx[1],linewidth=0)
ax.set_title(titre)
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.05)
clb = fig.colorbar(cov,cax)
clb.set_label('excess delay (ns)')
if self.show:
plt.show()
def showPower(self,rxsens=True,nfl=True,polarization='o'):
""" show the map of received power
Parameters
----------
rxsens : bool
clip the map with rx sensitivity set in self.rxsens
nfl : bool
clip the map with noise floor set in self.pndbm
polarization : string
'o'|'p'
Examples
--------
.. plot::
:include-source:
>>> from pylayers.antprop.coverage import *
>>> C = Coverage()
>>> C.cover()
>>> C.showPower()
"""
fig=plt.figure()
fig,ax=self.L.showGs(fig=fig)
l=self.grid[0,0]
r=self.grid[-1,0]
b=self.grid[0,1]
t=self.grid[-1,-1]
if polarization=='o':
prdbm=self.prdbmo
if polarization=='p':
prdbm=self.prdbmp
# tCM = plt.cm.get_cmap('jet')
# tCM._init()
# alphas = np.abs(np.linspace(.0,1.0, tCM.N))
# tCM._lut[:-3,-1] = alphas
title='Map of received power - Pt = '+str(self.ptdbm)+' dBm'
cdict = {
'red' : ((0., 0.5, 0.5), (1., 1., 1.)),
'green': ((0., 0.5, 0.5), (1., 1., 1.)),
'blue' : ((0., 0.5, 0.5), (1., 1., 1.))
}
#generate the colormap with 1024 interpolated values
my_cmap = m.colors.LinearSegmentedColormap('my_colormap', cdict, 1024)
if rxsens :
### values between the rx sensitivity and noise floor
mcPrf = np.ma.masked_where((prdbm > self.rxsens)
& (prdbm < self.pndbm),prdbm)
cov1 = ax.imshow(mcPrf.reshape((self.nx,self.ny)).T,
extent=(l,r,b,t),cmap = my_cmap,
vmin=self.rxsens,origin='lower')
### values above the sensitivity
mcPrs = np.ma.masked_where(prdbm < self.rxsens,prdbm)
cov = ax.imshow(mcPrs.reshape((self.nx,self.ny)).T,
extent=(l,r,b,t),
cmap = 'jet',
vmin=self.rxsens,origin='lower')
title=title + '\n gray : Pr (dBm) < %.2f' % self.rxsens + ' dBm'
else :
cov=ax.imshow(prdbm.reshape((self.nx,self.ny)).T,
extent=(l,r,b,t),
cmap = 'jet',
vmin=self.pndbm,origin='lower')
if nfl:
### values under the noise floor
### we first clip the value below he noise floor
cl = np.nonzero(prdbm<=self.pndbm)
cPr = prdbm
cPr[cl] = self.pndbm
mcPruf = np.ma.masked_where(cPr > self.pndbm,cPr)
cov2 = ax.imshow(mcPruf.reshape((self.nx,self.ny)).T,
extent=(l,r,b,t),cmap = 'binary',
vmax=self.pndbm,origin='lower')
title=title + '\n white : Pr (dBm) < %.2f' % self.pndbm + ' dBm'
ax.scatter(self.tx[0],self.tx[1],s=10,linewidth=0)
ax.set_title(title)
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.05)
clb = fig.colorbar(cov,cax)
clb.set_label('Power (dBm)')
if self.show:
plt.show()
def showTransistionRegion(self,polarization='o'):
"""
Notes
-----
See : Analyzing the Transitional Region in Low Power Wireless Links
Marco Zuniga and Bhaskar Krishnamachari
Examples
--------
.. plot::
:include-source:
>>> from pylayers.antprop.coverage import *
>>> C = Coverage()
>>> C.cover()
>>> C.showTransitionRegion()
"""
frameLength = self.framelengthbytes
PndBm = self.pndbm
gammaU = 10*np.log10(-1.28*np.log(2*(1-0.9**(1./(8*frameLength)))))
gammaL = 10*np.log10(-1.28*np.log(2*(1-0.1**(1./(8*frameLength)))))
PrU = PndBm + gammaU
PrL = PndBm + gammaL
fig=plt.figure()
fig,ax = self.L.showGs(fig=fig)
l = self.grid[0,0]
r = self.grid[-1,0]
b = self.grid[0,1]
t = self.grid[-1,-1]
if polarization=='o':
prdbm=self.prdbmo
if polarization=='p':
prdbm=self.prdbmp
zones = np.zeros(len(prdbm))
uconnected = np.nonzero(prdbm>PrU)[0]
utransition = np.nonzero((prdbm < PrU)&(prdbm > PrL))[0]
udisconnected = np.nonzero(prdbm < PrL)[0]
zones[uconnected] = 1
zones[utransition] = (prdbm[utransition]-PrL)/(PrU-PrL)
cov = ax.imshow(zones.reshape((self.nx,self.ny)).T,
extent=(l,r,b,t),cmap = 'BuGn',origin='lower')
title='PDR region'
ax.scatter(self.tx[0],self.tx[1],linewidth=0)
ax.set_title(title)
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.05)
fig.colorbar(cov,cax)
if self.show:
plt.show()
def showLoss(self,polarization='o'):
""" show losses map
Parameters
----------
polarization : string
'o'|'p'|'both'
Examples
--------
.. plot::
:include-source:
>>> from pylayers.antprop.coverage import *
>>> C = Coverage()
>>> C.cover()
>>> C.showLoss(polarization='o')
>>> C.showLoss(polarization='p')
"""
fig = plt.figure()
fig,ax=self.L.showGs(fig=fig)
l=self.grid[0,0]
r=self.grid[-1,0]
b=self.grid[0,1]
t=self.grid[-1,-1]
if polarization=='o':
cov = ax.imshow(self.Lwo.reshape((self.nx,self.ny)).T,
extent=(l,r,b,t),
origin='lower')
title = ('Map of losses, orthogonal (V) polarization')
if polarization=='p':
cov = ax.imshow(self.Lwp.reshape((self.nx,self.ny)).T,
extent=(l,r,b,t),
origin='lower')
title = ('Map of losses, parallel (H) polarization')
ax.scatter(self.tx[0],self.tx[1],linewidth=0)
ax.set_title(title)
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.05)
fig.colorbar(cov,cax)
if self.show:
plt.show()
def __init__(self, _fileini="coverage.ini"):
""" object constructor
Parameters
----------
_fileini : string
name of the configuration file
Notes
-----
Coverage is described in an ini file.
Default file is coverage.ini and is placed in the ini directory of the current project.
"""
self.config = ConfigParser.ConfigParser()
self.config.read(pyu.getlong(_fileini, pstruc["DIRSIMUL"]))
self.layoutopt = dict(self.config.items("layout"))
self.gridopt = dict(self.config.items("grid"))
self.apopt = dict(self.config.items("ap"))
self.rxopt = dict(self.config.items("rx"))
self.showopt = dict(self.config.items("show"))
# get the Layout
self.L = Layout(self.layoutopt["filename"])
# get the receiving grid
self.nx = eval(self.gridopt["nx"])
self.ny = eval(self.gridopt["ny"])
self.mode = self.gridopt["mode"]
self.boundary = eval(self.gridopt["boundary"])
self.filespa = self.gridopt["file"]
#
# create grid
#
self.creategrid(mode=self.mode, boundary=self.boundary, _fileini=self.filespa)
self.dap = {}
for k in self.apopt:
kwargs = eval(self.apopt[k])
ap = std.AP(**kwargs)
self.dap[eval(k)] = ap
self.fGHz = np.array([])
# self.fGHz = eval(self.txopt['fghz'])
# self.tx = np.array((eval(self.txopt['x']),eval(self.txopt['y'])))
# self.ptdbm = eval(self.txopt['ptdbm'])
# self.framelengthbytes = eval(self.txopt['framelengthbytes'])
# receiver section
# self.rxsens = eval(self.rxopt['sensitivity'])
self.temperaturek = eval(self.rxopt["temperaturek"])
self.noisefactordb = eval(self.rxopt["noisefactordb"])
# show section
self.bshow = str2bool(self.showopt["show"])
try:
self.L.Gt.nodes()
except:
pass
try:
self.L.dumpr()
except:
self.L.build()
self.L.dumpw()
r"""
===========================================
8 Random Layout
===========================================
This example display randomly N layout from
the set of all available Layout file
The file extension is .lay
"""
from pylayers.gis.layout import Layout
import matplotlib.pyplot as plt
import random
import warnings
warnings.filterwarnings("error")
L = Layout()
lL = L.ls()
N = 8
for tL in random.sample(lL,N):
if 'Munich' not in tL:
L = Layout(tL,bbuild=0,bgraphs=0)
f,a = L.showG('s')
plt.title(tL,fontsize=32)
plt.show()
class Simul(SimulationRT): # Sympy 2
"""
Attributes
----------
config : config parser instance
sim_opt : dictionary of configuration option for simulation
ag_opt : dictionary of configuration option for agent
lay_opt : dictionary of configuration option for layout
meca_opt : dictionary of configuration option for mecanic
net_opt : dictionary of configuration option for network
loc_opt : dictionary of configuration option for localization
save_opt : dictionary of configuration option for save
sql_opt : dictionary of configuration option for sql
Parameters
----------
self.lAg : list of Agent(Object)
list of agents involved in simulation
self.L : Layout
Layout used in simulation
Note
----
All the previous dictionnary are obtained from the chosen simulnet.ini file
in the project directory
"""
def __init__(self):
SimulationRT.__init__(self) # Sympy 2
# sympy.RealtimeEnvironment.__init__(self) #simpy 3
self.initialize()
self.config = ConfigParser.ConfigParser()
filename = pyu.getlong('simulnet.ini', pstruc['DIRSIMUL'])
self.config.read(filename)
self.sim_opt = dict(self.config.items('Simulation'))
self.lay_opt = dict(self.config.items('Layout'))
self.meca_opt = dict(self.config.items('Mechanics'))
self.net_opt = dict(self.config.items('Network'))
self.loc_opt = dict(self.config.items('Localization'))
self.save_opt = dict(self.config.items('Save'))
self.sql_opt = dict(self.config.items('Mysql'))
self.seed = eval(self.sim_opt['seed'])
self.traj = Trajectories()
self.verbose = str2bool(self.sim_opt['verbose'])
if str2bool(self.net_opt['ipython_nb_show']):
self.verbose = False
self.roomlist = []
self.finish = False
self.create()
def __repr__(self):
s = 'Simulation information' + '\n----------------------'
s = s + '\nLayout: ' + self.lay_opt['filename']
s = s + '\nSimulation duration: ' + str(self.sim_opt['duration'])
s = s + '\nRandom seed: ' + str(self.sim_opt['seed'])
s = s + '\nSave simulation: ' + self.save_opt['savep']
s = s + '\n\nUpdate times' + '\n-------------'
s = s + '\nMechanical update: ' + \
str(self.meca_opt['mecanic_update_time'])
s = s + '\nNetwork update: ' + str(self.net_opt['network_update_time'])
s = s + '\nLocalization update: ' + self.net_opt['communication_mode']
s = s + '\n\nAgents => self.lAg[i]' + '\n------'
s = s + '\nNumber of agents :' + str(len(self.lAg))
s = s + '\nAgents IDs: ' + \
str([self.lAg[i].ID for i in range(len(self.lAg))])
s = s + '\nAgents names: ' + \
str([self.lAg[i].name for i in range(len(self.lAg))])
s = s + '\nDestination of chosen agents: ' + \
self.meca_opt['choose_destination']
s = s + '\n\nNetwork' + '\n-------'
s = s + '\nNodes per wstd: ' + str(self.net.wstd)
s = s + '\n\nLocalization' + '\n------------'
s = s + '\nLocalization enable: ' + self.loc_opt['localization']
s = s + '\nPostion estimation methods: ' + self.loc_opt['method']
return s
def create_layout(self):
""" create Layout in Simpy the_world thanks to Tk backend
"""
_filename = self.lay_opt['filename']
self.L = Layout(_filename)
self.L.build()
self.L.buildGr()
self.L.buildGw()
self.the_world = world()
try:
self.L.dumpr()
print 'Layout graphs are loaded from ' + basename + '/struc/ini'
except:
#self.L.sl = sl
# self.L.loadGr(G1)
print 'This is the first time the layout file is used\
Layout graphs are curently being built, it may take few minutes.'
self.L.build()
self.L.dumpw()
#
# Create Layout
#
walls = self.L.thwall(0, 0)
for wall in walls:
for ii in range(0, len(wall) - 1):
self.the_world.add_wall(wall[ii], wall[ii + 1])
def create_agent(self):
""" create simulation's Agents
..todo:: change lAg list to a dictionnary ( modification in show.py too)
"""
self.lAg = []
agents = []
Cf = ConfigParser.ConfigParser()
Cf.read(pyu.getlong('agent.ini', 'ini'))
agents = eval(dict(Cf.items('used_agent'))['list'])
for i, ag in enumerate(agents):
ag_opt = dict(Cf.items(ag))
self.lAg.append(
Agent(ID=ag_opt['id'],
name=ag_opt['name'],
typ=ag_opt['typ'],
color=eval(ag_opt['color']),
pdshow=str2bool(self.meca_opt['pdshow']),
pos=np.array(eval(ag_opt['pos'])),
roomId=int(ag_opt['roomid']),
froom=eval(ag_opt['froom']),
meca_updt=float(self.meca_opt['mecanic_update_time']),
wait=float(ag_opt['wait']),
cdest=eval(self.meca_opt['choose_destination']),
loc=str2bool(self.loc_opt['localization']),
loc_updt=float(self.loc_opt['localization_update_time']),
loc_method=eval(self.loc_opt['method']),
L=self.L,
network=str2bool(self.net_opt['network']),
net=self.net,
epwr=dict([(eval(
(ag_opt['wstd']))[ep], eval((ag_opt['epwr']))[ep])
for ep in range(len(eval((ag_opt['wstd']))))
]),
sens=dict([(eval(
(ag_opt['wstd']))[ep], eval(
(ag_opt['sensitivity']))[ep])
for ep in range(len(eval((ag_opt['wstd']))))
]),
world=self.the_world,
wstd=eval(ag_opt['wstd']),
save=eval(self.save_opt['save']),
gcom=self.gcom,
comm_mode=eval(self.net_opt['communication_mode']),
sim=self,
seed=self.seed))
def create_EMS(self):
""" create electromagnetic Solver object
"""
self.EMS = EMSolver(L=self.L)
def create_network(self):
""" create the whole network
"""
self.net = Network(EMS=self.EMS)
self.gcom = Gcom(net=self.net, sim=self)
self.create_agent()
# create network
if str2bool(self.net_opt['network']):
self.net.create()
# create All Personnal networks
for n in self.net.nodes():
self.net.node[n]['PN']._get_wstd()
self.net.node[n]['PN']._get_SubNet()
self.gcom.create()
# create Process Network
self.Pnet = PNetwork(net=self.net,
net_updt_time=float(
self.net_opt['network_update_time']),
L=self.L,
sim=self,
show_sg=str2bool(self.net_opt['show_sg']),
disp_inf=str2bool(self.net_opt['dispinfo']),
save=eval(self.save_opt['save']))
self.activate(self.Pnet, self.Pnet.run(), 0.0)
def create_visual(self):
""" create visual Tk process
"""
self.visu = Updater(interval=float(self.sim_opt['show_interval']),
sim=self)
self.activate(self.visu, self.visu.execute(), 0.0)
def create(self):
""" create the simulation
This method is called at the end of __init__
"""
# this is to redump the database at each simulation
if 'mysql' in self.save_opt['save']:
if str2bool(self.sql_opt['dumpdb']):
os.popen(
'mysql -u ' + self.sql_opt['user'] + ' -p ' +
self.sql_opt['dbname'] +
'< /private/staff/t/ot/niamiot/svn2/devel/simulator/pyray/SimWHERE2.sql'
)
# TODO remove the hard reference
if 'txt' in self.save_opt['save']:
pyu.writeDetails(self)
if os.path.isfile(os.path.join(basename, 'output', 'Nodes.txt')):
print 'would you like to erase previous txt files ?'
A = raw_input()
if A == 'y':
for f in os.listdir(os.path.join(basename, 'output')):
try:
fi, ext = f.split('.')
if ext == 'txt':
os.remove(os.path.join(basename, 'output' + f))
except:
pass
# Layout
self.create_layout()
# Electro Magnetic Simulator
self.create_EMS()
# Network
self.create_network()
if str2bool(self.sim_opt['showtk']):
self.create_visual()
self.create_show()
if str2bool(self.save_opt['savep']):
self.save = Save(L=self.L, net=self.net, sim=self)
self.activate(self.save, self.save.run(), 0.0)
def create_show(self):
""" create a vizualization
"""
plt.ion()
fig_net = 'network'
fig_table = 'table'
if str2bool(self.net_opt['show']):
if str2bool(self.net_opt['ipython_nb_show']):
notebook = True
else:
notebook = False
self.sh = ShowNet(net=self.net,
L=self.L,
sim=self,
fname=fig_net,
notebook=notebook)
self.activate(self.sh, self.sh.run(), 1.0)
if str2bool(self.net_opt['show_table']):
self.sht = ShowTable(net=self.net,
lAg=self.lAg,
sim=self,
fname=fig_table)
self.activate(self.sht, self.sht.run(), 1.0)
def savepandas(self):
""" save mechanics in pandas hdf5 format
"""
filename = pyu.getlong(eval(self.sim_opt["filename"]),
pstruc['DIRNETSAVE'])
layfile = self.L._filename.split('.')[0]
store = pd.HDFStore(filename + '_' + layfile + '.h5', 'w')
for a in self.lAg:
if a.typ != 'ap':
store.put(a.ID, a.meca.df.convert_objects())
else: # if agent acces point, its position is saved
store.put(a.ID, a.posdf)
store.get_storer(a.ID).attrs.typ = a.typ
store.get_storer(a.ID).attrs.name = a.name
store.get_storer(a.ID).attrs.ID = a.ID
store.get_storer(a.ID).attrs.layout = self.L._filename
# saving metadata
store.root._v_attrs.attributes = self.sim_opt
store.close()
self.traj.loadh5(
eval(self.sim_opt["filename"]) + '_' + layfile + '.h5')
def runsimul(self):
""" run simulation
"""
if not self.finish:
# random number seed
seed(self.seed)
self.simulate(until=float(self.sim_opt['duration']),
real_time=True,
rel_speed=float(self.sim_opt['speedratio']))
self.the_world._boids = {}
# if str2bool(self.save_opt['savep']):
# print 'Processing save results, please wait'
# self.save.mat_export()
if str2bool(self.save_opt['savepd']):
self.savepandas()
self.finish = True
else:
raise NameError('Reinstantiate a new simul object to run again')
from pylayers.gis.layout import Layout
import networkx as nx
import matplotlib.pyplot as plt
#doctest.testmod(layout)
#L = Layout('TA-Office.ini')
L = Layout()
lL = L.ls()
for tL in lL:
print 'Layout :',tL
try:
L=Layout(tL)
L.save()
except:
print 'Layout :',tL ,' problem'
#f = plt.figure(figsize=(20,10))
#plt.axis('off')
#f,a = L.showG('s',nodes=False,fig=f)
#plt.show()
#f,a = L.showG('r',edge_color='b',linewidth=4,fig=f)
#L= Layout('11Dbibli.ini')
#L.show()
#L = Layout('PTIN.ini')
#L = Layout('DLR.ini')
#L.buildGt()
#Ga = L.buildGr()
#L.showGs()
#nx.draw(Ga,Ga.pos)
from pylayers.gis.layout import Layout
import networkx as nx
import matplotlib.pyplot as plt
import doctest
plt.ion()
#doctest.testmod(layout)
#L = Layout('TA-Office.ini')
L = Layout('WHERE1.ini')
#L= Layout('11Dbibli.ini')
#L.show()
#L = Layout('PTIN.ini')
#L = Layout('DLR.ini')
#L.build()
L.dumpr()
L.showGi(en=11)
#Ga = L.buildGr()
#L.showGs()
#nx.draw(Ga,Ga.pos)
