def current_playlist( request, *args, **keywords ):
c = RequestContext( request )
with MPDClient().connect( 'localhost', 6600 ) as mpd:
c['songs'] = mpd.playlistinfo()
logger.debug( c['songs'] )
#Cleanup song information
for song in c['songs']:
song['filename'] = path.basename( song['file'] )
song['time'] = formatTime( song['time'] )
return c
def current_playlist(request, *args, **keywords):
c = RequestContext(request)
with MPDClient().connect('localhost', 6600) as mpd:
c['songs'] = mpd.playlistinfo()
logger.debug(c['songs'])
#Cleanup song information
for song in c['songs']:
song['filename'] = path.basename(song['file'])
song['time'] = formatTime(song['time'])
return c
def songs(request, artist=None, album=None, *args, **keywords):
c = RequestContext(request)
logger.info("songs")
commands = []
c['breadcrumbs'] = [
{
'text': 'browse',
'target': reverse('browse')
},
]
if artist:
c['breadcrumbs'].append({
'text': 'artists',
'target': reverse('artists')
})
commands.extend(['artist', artist])
if album:
c['breadcrumbs'].append({
'text':
artist,
'target':
reverse('albums_by_artist', kwargs={'artist': artist})
})
elif album:
c['breadcrumbs'].append({
'text': 'albums',
'target': reverse('albums')
})
commands.extend(['album', album])
else:
commands = ['any', '']
logger.info(commands)
with MPDClient().connect("localhost", 6600) as mpd:
c['songs'] = mpd.find(*commands)
#Cleanup song information
for song in c['songs']:
song['filename'] = path.basename(song['file'])
song['time'] = formatTime(song['time'])
return c
def songs( request, artist=None, album=None, *args, **keywords ):
c = RequestContext( request )
logger.info( "songs" )
commands = []
c['breadcrumbs'] = [
{ 'text': 'browse', 'target': reverse( 'browse' ) },
]
if artist:
c['breadcrumbs'].append( {
'text': 'artists',
'target':reverse( 'artists' )
} )
commands.extend( ['artist', artist] )
if album:
c['breadcrumbs'].append( {
'text': artist,
'target':reverse( 'albums_by_artist', kwargs={ 'artist': artist } )
} )
elif album:
c['breadcrumbs'].append( {
'text': 'albums',
'target':reverse( 'albums' )
} )
commands.extend( [ 'album', album ] )
else:
commands = ['any', '']
logger.info( commands )
with MPDClient().connect( "localhost", 6600 ) as mpd:
c['songs'] = mpd.find( *commands )
#Cleanup song information
for song in c['songs']:
song['filename'] = path.basename( song['file'] )
song['time'] = formatTime( song['time'] )
return c
import utilities as ut import numpy as np #import sys #np.set_printoptions(threshold=sys.maxsize) dataFilePath = "2000_01_01 00_00_00 CARDINO.csv" #load the ringdown time constants "Taus" in microseconds tau_Data = ut.loadCardinoData(dataFilePath, columns="Taus") #load the time stamp data time_Data = ut.loadCardinoData(dataFilePath, columns="TimeStamp") #format the time into a suitable timeseries array in units of seconds time_Series = ut.formatTime(time_Data) #The red ringdown times are in the first two columns of tau_Data redTau_Data = tau_Data[:, 0:2] #load the flags for zeroing th red channels redState = ut.loadCardinoData(dataFilePath, columns="Red State") #get the median values for each zeroing event on the red channels redZeros = ut.getZeroingAvg(redTau_Data, redState) #Use the red zeroing flags to determine which zeroing we should use for each time point. redZero_Array = ut.performZeroing(redZeros, redState) #Calcuate epsilon for the two red channels in units of M epRed = ut.calculateEpsilon(redTau_Data, redZero_Array) #discard all the data that isn't "normal" state by converting it to np.nan. epRed_norm = ut.selectZeroState(epRed, redState) #Could plot this data as follows #ut.plotCardino(time_Series,epRed_norm,ylabel="Epsilon (m)",title="Attenuation Coefficients",customLabel=['Ep N2O5','Ep NO3'],xlim=[195,560],ylim=[-1,1]) #The blue ringdown times are in the second two columns of tau_Data blueTau_Data = tau_Data[:, 2:4]
