def executeHeatmap(cmdargs, config, scanlevel, start):
for gain in scanlevel['gains']:
filename = calcFilename(scanlevel, start, gain)
csv_filename = "%s.csv" % filename
exists = os.path.isfile(csv_filename)
if not exists:
showVerbose(
config,
"%s %s not exist%s" % (
tcolor.RED,
csv_filename,
tcolor.DEFAULT,
)
)
continue
params_filename = "%s.hparam" % filename
exists = os.path.isfile(params_filename)
if not exists:
showVerbose(
config,
"%s %s not exist%s" % (
tcolor.RED,
params_filename,
tcolor.DEFAULT,
)
)
continue
# Check if scan exist
img_filename = "%s_heatmap.png" % filename
exists = os.path.isfile(img_filename)
if exists:
showVerbose(
config,
"%sHeatmap '%s' : %shz-%shz%s" % (
tcolor.GREEN,
scanlevel['name'], commons.float2Hz(start), commons.float2Hz(start + scanlevel['windows']),
tcolor.DEFAULT
)
)
continue
print "%sHeatmap '%s' : %shz-%shz for %s gain" % (
tcolor.DEFAULT,
scanlevel['name'], commons.float2Hz(start), commons.float2Hz(start + scanlevel['windows']),
gain,
)
print "CSV: %s" % csv_filename
datas = commons.SDRDatas(csv_filename)
for line in datas.samples:
print len(line)
print ""
def calcFilename(scanlevel, start, gain):
filename = "%sHz-%sHz-%07.2fdB-%sHz-%s-%s" % (
commons.float2Hz(start, 3, True),
commons.float2Hz(start + scanlevel['windows'], 3, True), gain,
commons.float2Hz(scanlevel['binsize'], 3,
True), commons.float2Sec(scanlevel['interval']),
commons.float2Sec(scanlevel['quitafter']))
fullname = os.path.join(scanlevel['scandir'], filename)
return fullname
def calcFilename(scanlevel, start, gain):
filename = "%sHz-%sHz-%07.2fdB-%sHz-%s-%s" % (
commons.float2Hz(start, 3, True),
commons.float2Hz(start + scanlevel['windows'], 3, True),
gain,
commons.float2Hz(scanlevel['binsize'], 3, True),
commons.float2Sec(scanlevel['interval']),
commons.float2Sec(scanlevel['quitafter'])
)
fullname = os.path.join(scanlevel['scandir'], filename)
return fullname
def executeHeatmap(cmdargs, config, scanlevel, start):
for gain in scanlevel['gains']:
filename = calcFilename(scanlevel, start, gain)
csv_filename = "%s.csv" % filename
exists = os.path.isfile(csv_filename)
if not exists:
showVerbose(
config, "%s %s not exist%s" % (
tcolor.RED,
csv_filename,
tcolor.DEFAULT,
))
continue
params_filename = "%s.hparam" % filename
exists = os.path.isfile(params_filename)
if not exists:
showVerbose(
config, "%s %s not exist%s" % (
tcolor.RED,
params_filename,
tcolor.DEFAULT,
))
continue
# Check if scan exist
img_filename = "%s_heatmap.png" % filename
exists = os.path.isfile(img_filename)
if exists:
showVerbose(
config, "%sHeatmap '%s' : %shz-%shz%s" %
(tcolor.GREEN, scanlevel['name'], commons.float2Hz(start),
commons.float2Hz(start + scanlevel['windows']),
tcolor.DEFAULT))
continue
print "%sHeatmap '%s' : %shz-%shz for %s gain" % (
tcolor.DEFAULT,
scanlevel['name'],
commons.float2Hz(start),
commons.float2Hz(start + scanlevel['windows']),
gain,
)
print "CSV: %s" % csv_filename
datas = commons.SDRDatas(csv_filename)
for line in datas.samples:
print len(line)
print ""
def executeSearchStations(config, stations, scanlevel, start):
filename = calcFilename(scanlevel, start)
# ignore if rtl_power file not exists
csv_filename = "%s.csv" % filename
exists = os.path.isfile(csv_filename)
if not exists:
showVerbose(
config, "%s %s not exist%s" % (
tcolor.RED,
csv_filename,
tcolor.DEFAULT,
))
return
# Ignore if call summary not exist
summary_filename = "%s.summary" % filename
exists = os.path.isfile(summary_filename)
if not exists:
showVerbose(
config, "%s %s not exist%s" % (
tcolor.RED,
summary_filename,
tcolor.DEFAULT,
))
return
summaries = loadJSON(summary_filename)
print "%sFind stations '%s' : %shz-%shz" % (
tcolor.DEFAULT,
scanlevel['name'],
commons.float2Hz(start),
commons.float2Hz(start + scanlevel['windows']),
)
smooth_max = commons.smooth(np.array(summaries['max']['signal']), 10,
'flat')
limitmin = summaries['min']['peak']['min']['mean'] - summaries['min'][
'peak']['min']['std']
limitmax = summaries['max']['mean'] + summaries['max']['std']
searchStation(scanlevel, stations, summaries, smooth_max, limitmin,
limitmax)
def executeSearchStations(config, stations, scanlevel, start):
filename = calcFilename(scanlevel, start)
# ignore if rtl_power file not exists
csv_filename = "%s.csv" % filename
exists = os.path.isfile(csv_filename)
if not exists:
showVerbose(
config,
"%s %s not exist%s" % (
tcolor.RED,
csv_filename,
tcolor.DEFAULT,
)
)
return
# Ignore if call summary not exist
summary_filename = "%s.summary" % filename
exists = os.path.isfile(summary_filename)
if not exists:
showVerbose(
config,
"%s %s not exist%s" % (
tcolor.RED,
summary_filename,
tcolor.DEFAULT,
)
)
return
summaries = loadJSON(summary_filename)
print "%sFind stations '%s' : %shz-%shz" % (
tcolor.DEFAULT,
scanlevel['name'], commons.float2Hz(start), commons.float2Hz(start + scanlevel['windows']),
)
smooth_max = commons.smooth(np.array(summaries['max']['signal']),10, 'flat')
limitmin = summaries['min']['peak']['min']['mean'] - summaries['min']['peak']['min']['std']
limitmax = summaries['max']['mean'] + summaries['max']['std']
searchStation(scanlevel, stations, summaries, smooth_max, limitmin, limitmax)
def showInfo(config, args):
# Show config
result_scan = []
if 'configs' in config:
for configname in config['configs']:
result_scan.append(
[
configname,
config['configs'][configname]['location'],
config['configs'][configname]['antenna'],
]
)
header = ['Config name', 'Location','Antenna']
print tabulate(result_scan, headers=header, stralign="right")
print ""
# Show the scan information table
result_scan = []
if 'scans' in config:
for scanlevel in config['scans']:
result_scan.append(
[
"%sHz" % commons.float2Hz(scanlevel['freq_start']),
"%sHz" % commons.float2Hz(scanlevel['freq_end']),
"%sHz" % commons.float2Hz(scanlevel['windows']),
commons.float2Sec(scanlevel['interval']),
scanlevel['nbsamples_lines'],
commons.float2Sec(commons.sec2Float(scanlevel['interval']) * scanlevel['nbsamples_lines']),
# scanlevel['quitafter'],
scanlevel['maxlevel_legend'],
]
)
header = [
'Freq. Start', 'Freq. End', 'Windows', 'Interval', 'Nb lines', 'Total time', 'Max legend level'
]
print tabulate(result_scan, headers=header, stralign="right")
# Show global config
if 'global' in config:
pprint.pprint(config['global'],indent=2)
def executeSumarizeSignals(cmdargs, config, scanlevel, start):
for gain in scanlevel['gains']:
filename = calcFilename(scanlevel, start, gain)
# ignore if rtl_power file not exists
csv_filename = "%s.csv" % filename
exists = os.path.isfile(csv_filename)
if not exists:
showVerbose(
config,
"%s %s not exist%s" % (
tcolor.RED,
csv_filename,
tcolor.DEFAULT,
)
)
continue
# Ignore call summary if file already exist
summary_filename = "%s.summary" % filename
exists = os.path.isfile(summary_filename)
if exists:
showVerbose(
config,
"%sSummarize '%s' : %shz-%shz%s for %s gain" % (
tcolor.GREEN,
scanlevel['name'], commons.float2Hz(start), commons.float2Hz(start + scanlevel['windows']),
gain,
tcolor.DEFAULT,
)
)
continue
print "%sSummarize '%s' : %shz-%shz for %s gain" % (
tcolor.DEFAULT,
scanlevel['name'], commons.float2Hz(start), commons.float2Hz(start + scanlevel['windows']),
gain
)
sdrdatas = commons.SDRDatas(csv_filename)
sdrdatas.genSummarizeSignal()
saveJSON(summary_filename, sdrdatas.summaries)
def showInfo(config, args):
# Show config
result_scan = []
if 'configs' in config:
for configname in config['configs']:
result_scan.append([
configname,
config['configs'][configname]['location'],
config['configs'][configname]['antenna'],
])
header = ['Config name', 'Location', 'Antenna']
print tabulate(result_scan, headers=header, stralign="right")
print ""
# Show the scan information table
result_scan = []
if 'scans' in config:
for scanlevel in config['scans']:
result_scan.append([
"%sHz" % commons.float2Hz(scanlevel['freq_start']),
"%sHz" % commons.float2Hz(scanlevel['freq_end']),
"%sHz" % commons.float2Hz(scanlevel['windows']),
commons.float2Sec(scanlevel['interval']),
scanlevel['nbsamples_lines'],
commons.float2Sec(
commons.sec2Float(scanlevel['interval']) *
scanlevel['nbsamples_lines']),
# scanlevel['quitafter'],
scanlevel['maxlevel_legend'],
])
header = [
'Freq. Start', 'Freq. End', 'Windows', 'Interval', 'Nb lines',
'Total time', 'Max legend level'
]
print tabulate(result_scan, headers=header, stralign="right")
# Show global config
if 'global' in config:
pprint.pprint(config['global'], indent=2)
def executeRTLPower(cmdargs, config, scanlevel, start):
# Create directory if not exists
if not os.path.isdir(scanlevel['scandir']):
print "executeRTLPower SCANDIR: %s" % scanlevel['scandir']
os.makedirs(scanlevel['scandir'])
for gain in scanlevel['gains']:
filename = calcFilename(scanlevel, start, gain)
# Ignore call rtl_power if file already exist
csv_filename = "%s.csv" % filename
exists = os.path.isfile(csv_filename)
if exists:
showVerbose(
config, "%sScan '%s' : %shz-%shz already exists%s" %
(tcolor.GREEN, scanlevel['name'], commons.float2Hz(start),
commons.float2Hz(start + scanlevel['windows']),
tcolor.DEFAULT))
return
else:
running_filename = "%s.running" % filename
exists = os.path.isfile(running_filename)
if exists:
print "%sScan '%s' : delete old running file %shz-%shz" % (
tcolor.DEFAULT,
scanlevel['name'],
commons.float2Hz(start),
commons.float2Hz(start + scanlevel['windows']),
)
os.remove(running_filename)
print "%sScan '%s' : %shz-%shz with %s gain / Begin: %s / Finish in: ~%s" % (
tcolor.DEFAULT,
scanlevel['name'],
commons.float2Hz(start),
commons.float2Hz(start + scanlevel['windows']),
gain,
time.strftime("%H:%M:%S", time.localtime()),
commons.float2Sec(scanlevel['quitafter']),
)
cmddir = None
if os.name == "nt":
cmddir = "C:\\SDRHunter\\rtl-sdr-release\\x32"
cmd = "rtl_power -p %s -g %s -f %s:%s:%s -i %s -e %s \"%s\"" % (
config['global']['ppm'], gain, start,
start + scanlevel['windows'], scanlevel['binsize'],
scanlevel['interval'], scanlevel['quitafter'],
running_filename)
# Create Scan info file
createScanInfoFile(cmdargs, config, scanlevel, start, gain)
# Call rtl_power shell command
executeShell(cmd, cmddir)
# Rename file
os.rename(running_filename, csv_filename)
def executeSumarizeSignals(cmdargs, config, scanlevel, start):
for gain in scanlevel['gains']:
filename = calcFilename(scanlevel, start, gain)
# ignore if rtl_power file not exists
csv_filename = "%s.csv" % filename
exists = os.path.isfile(csv_filename)
if not exists:
showVerbose(
config, "%s %s not exist%s" % (
tcolor.RED,
csv_filename,
tcolor.DEFAULT,
))
continue
# Ignore call summary if file already exist
summary_filename = "%s.summary" % filename
exists = os.path.isfile(summary_filename)
if exists:
showVerbose(
config, "%sSummarize '%s' : %shz-%shz%s for %s gain" % (
tcolor.GREEN,
scanlevel['name'],
commons.float2Hz(start),
commons.float2Hz(start + scanlevel['windows']),
gain,
tcolor.DEFAULT,
))
continue
print "%sSummarize '%s' : %shz-%shz for %s gain" % (
tcolor.DEFAULT, scanlevel['name'], commons.float2Hz(start),
commons.float2Hz(start + scanlevel['windows']), gain)
sdrdatas = commons.SDRDatas(csv_filename)
sdrdatas.genSummarizeSignal()
saveJSON(summary_filename, sdrdatas.summaries)
def executeRTLPower(cmdargs, config, scanlevel, start):
# Create directory if not exists
if not os.path.isdir(scanlevel['scandir']):
print "executeRTLPower SCANDIR: %s" % scanlevel['scandir']
os.makedirs(scanlevel['scandir'])
for gain in scanlevel['gains']:
filename = calcFilename(scanlevel, start, gain)
# Ignore call rtl_power if file already exist
csv_filename = "%s.csv" % filename
exists = os.path.isfile(csv_filename)
if exists:
showVerbose(
config,
"%sScan '%s' : %shz-%shz already exists%s" % (
tcolor.GREEN,
scanlevel['name'],
commons.float2Hz(start), commons.float2Hz(start + scanlevel['windows']),
tcolor.DEFAULT
)
)
return
else:
running_filename = "%s.running" % filename
exists = os.path.isfile(running_filename)
if exists:
print "%sScan '%s' : delete old running file %shz-%shz" % (
tcolor.DEFAULT,
scanlevel['name'],
commons.float2Hz(start), commons.float2Hz(start + scanlevel['windows']),
)
os.remove(running_filename)
print "%sScan '%s' : %shz-%shz with %s gain / Begin: %s / Finish in: ~%s" % (
tcolor.DEFAULT,
scanlevel['name'],
commons.float2Hz(start), commons.float2Hz(start + scanlevel['windows']),
gain,
time.strftime("%H:%M:%S", time.localtime()),
commons.float2Sec(scanlevel['quitafter']),
)
cmddir = None
if os.name == "nt":
cmddir = "C:\\SDRHunter\\rtl-sdr-release\\x32"
cmd = "rtl_power -p %s -g %s -f %s:%s:%s -i %s -e %s \"%s\"" % (
config['global']['ppm'],
gain,
start,
start + scanlevel['windows'],
scanlevel['binsize'],
scanlevel['interval'],
scanlevel['quitafter'],
running_filename
)
# Create Scan info file
createScanInfoFile(cmdargs, config, scanlevel, start, gain)
# Call rtl_power shell command
executeShell(cmd, cmddir)
# Rename file
os.rename(running_filename, csv_filename)
def searchStation(scanlevel, stations, summaries, samples, limitmin, limitmax):
#search_limit = sorted(limit_list)
freqstep = summaries['freq']['step']
stations['stations'] = sorted(
stations['stations'],
key=lambda x: commons.hz2Float(x['freq_center']) - commons.hz2Float(
(x['bw'])))
bwmin = commons.hz2Float(scanlevel['minscanbw'])
bwmax = commons.hz2Float(scanlevel['maxscanbw'])
limits = np.linspace(limitmin, limitmax, 5)
for limit in limits:
# Search peak upper than limit
startup = -1
foundlower = False
for idx in np.arange(len(samples)):
powerdb = samples[idx]
isup = powerdb > limit
# Search first lower limit signal
if not foundlower:
if not isup:
foundlower = True
else:
continue
# Find first upper
if startup == -1:
if isup:
startup = idx
maxidx = startup
maxdb = powerdb
else:
# If upper, check if db is upper
if isup:
if powerdb > maxdb:
maxdb = powerdb
maxidx = idx
# If lower, calc bandwidth and max db
else:
endup = idx - 1
bw_nbstep = endup - startup
bw = bw_nbstep * freqstep
freqidx = startup + int(bw_nbstep / 2)
# TODO: compare with freqidx, set % error ?
freq_center = summaries['freq']['start'] + (maxidx *
freqstep)
freq_center = summaries['freq']['start'] + (freqidx *
freqstep)
freq_left = freq_center - bw
deltadb = (maxdb - limit)
if bwmin <= bw <= bwmax and deltadb > scanlevel[
'minrelativedb']:
print "Freq:%s / Bw:%s / Abs: %s dB / From ground:%.2f dB" % (
commons.float2Hz(freq_center),
commons.float2Hz(bw), maxdb, maxdb - limitmax)
found = False
for station in stations['stations']:
if freq_center >= commons.hz2Float(
station['freq_center']
) - bw and freq_center <= commons.hz2Float(
station['freq_center']) + bw:
found = True
break
if not found:
stations['stations'].append({
'freq_center':
commons.float2Hz(freq_center),
'bw':
commons.float2Hz(bw),
'powerdb':
float("%.2f" % maxdb),
'relativedb':
float("%.2f" % (maxdb - limitmin))
})
stations['stations'] = sorted(
stations['stations'],
key=lambda x: commons.hz2Float(x[
'freq_center']) - commons.hz2Float(x['bw']
))
startup = -1
def executeHeatmapParameters(cmdargs, config, scanlevel, start):
for gain in scanlevel['gains']:
filename = calcFilename(scanlevel, start, gain)
# Ignore if summary file not exists
summary_filename = "%s.summary" % filename
exists = os.path.isfile(summary_filename)
if not exists:
showVerbose(
config,
"%s %s not exist%s" % (
tcolor.RED,
summary_filename,
tcolor.DEFAULT,
)
)
continue
summaries = loadJSON(summary_filename)
params_filename = "%s.hparam" % filename
exists = os.path.isfile(params_filename)
if exists:
showVerbose(
config,
"%sHeatmap Parameter '%s' : %shz-%shz%s" % (
tcolor.GREEN,
scanlevel['name'], commons.float2Hz(start), commons.float2Hz(start + scanlevel['windows']),
tcolor.DEFAULT,
)
)
continue
print "%sHeatmap Parameter '%s' : %shz-%shz for % gain" % (
tcolor.DEFAULT,
scanlevel['name'], commons.float2Hz(start), commons.float2Hz(start + scanlevel['windows']),
gain,
)
parameters = {}
parameters['reversetextorder'] = True
# Db
#parameters['db'] = {}
##parameters['db']['mean'] = summaries['avg']['mean']
#parameters['db']['min'] = summaries['avg']['min']
#parameters['db']['max'] = summaries['avg']['max']
# Text
parameters['texts'] = []
parameters['texts'].append({'text': "Min signal: %.2f" % summaries['avg']['min']})
parameters['texts'].append({'text': "Max signal: %.2f" % summaries['avg']['max']})
parameters['texts'].append({'text': "Mean signal: %.2f" % summaries['avg']['mean']})
parameters['texts'].append({'text': "Std signal: %.2f" % summaries['avg']['std']})
parameters['texts'].append({'text': ""})
parameters['texts'].append({'text': "avg min %.2f" % summaries['avg']['min']})
parameters['texts'].append({'text': "std min %.2f" % summaries['avg']['std']})
# Add sscanlevel stations name in legends
if 'stationsfilename' in scanlevel or 'heatmap' in config['global']:
parameters['legends'] = []
if 'stationsfilename' in scanlevel:
parameters['legends'].append(scanlevel['stationsfilename'])
if 'heatmap' in config['global']:
# Add global stations name in legends
if 'heatmap' in config['global'] and "stationsfilenames" in config['global']['heatmap']:
for stationsfilename in config['global']['heatmap']['stationsfilenames']:
parameters['legends'].append(stationsfilename)
saveJSON(params_filename, parameters)
def executeSpectre(cmdargs, config, scanlevel, start):
for gain in scanlevel['gains']:
filename = calcFilename(scanlevel, start, gain)
csv_filename = "%s.csv" % filename
exists = os.path.isfile(csv_filename)
if not exists:
showVerbose(
config, "%s %s not exist%s" % (
tcolor.RED,
csv_filename,
tcolor.DEFAULT,
))
return
# Ignore if summary file not exists
summary_filename = "%s.summary" % filename
exists = os.path.isfile(summary_filename)
if not exists:
showVerbose(
config, "%s %s not exist%s" % (
tcolor.RED,
summary_filename,
tcolor.DEFAULT,
))
return
summaries = loadJSON(summary_filename)
# Check if scan exist
img_filename = "%s_spectre.png" % filename
exists = os.path.isfile(img_filename)
if exists:
showVerbose(
config, "%sSpectre '%s' : %shz-%shz%s" %
(tcolor.GREEN, scanlevel['name'], commons.float2Hz(start),
commons.float2Hz(start + scanlevel['windows']),
tcolor.DEFAULT))
return
print "%sSpectre '%s' : %shz-%shz" % (
tcolor.DEFAULT,
scanlevel['name'],
commons.float2Hz(start),
commons.float2Hz(start + scanlevel['windows']),
)
plt.figure(figsize=(15, 10))
plt.grid()
freqs = np.linspace(summaries['freq']['start'],
summaries['freq']['end'],
num=summaries['samples']['nbsamplescolumn'])
limitmin = summaries['min']['peak']['min']['mean'] - summaries['min'][
'peak']['min']['std']
limitmax = summaries['max']['mean'] + summaries['max']['std']
limits = np.linspace(limitmin, limitmax, 5)
# Max
for limit in limits:
plt.axhline(limit, color='blue')
smooth_max = commons.smooth(np.array(summaries['max']['signal']), 10,
'flat')
plt.plot(freqs, smooth_max[:len(freqs)], color='red')
# Set X Limit
locs, labels = plt.xticks()
for idx in range(len(labels)):
labels[idx] = commons.float2Hz(locs[idx])
plt.xticks(locs, labels)
plt.xlabel('Freq in Hz')
# Set Y Limit
# plt.ylim(summary['groundsignal'], summary['maxsignal'])
plt.ylabel('Power density in dB')
plt.savefig(img_filename)
plt.close()
def executeSpectre(cmdargs, config, scanlevel, start):
for gain in scanlevel['gains']:
filename = calcFilename(scanlevel, start, gain)
csv_filename = "%s.csv" % filename
exists = os.path.isfile(csv_filename)
if not exists:
showVerbose(
config,
"%s %s not exist%s" % (
tcolor.RED,
csv_filename,
tcolor.DEFAULT,
)
)
return
# Ignore if summary file not exists
summary_filename = "%s.summary" % filename
exists = os.path.isfile(summary_filename)
if not exists:
showVerbose(
config,
"%s %s not exist%s" % (
tcolor.RED,
summary_filename,
tcolor.DEFAULT,
)
)
return
summaries = loadJSON(summary_filename)
# Check if scan exist
img_filename = "%s_spectre.png" % filename
exists = os.path.isfile(img_filename)
if exists:
showVerbose(
config,
"%sSpectre '%s' : %shz-%shz%s" % (
tcolor.GREEN,
scanlevel['name'], commons.float2Hz(start), commons.float2Hz(start + scanlevel['windows']),
tcolor.DEFAULT
)
)
return
print "%sSpectre '%s' : %shz-%shz" % (
tcolor.DEFAULT,
scanlevel['name'], commons.float2Hz(start), commons.float2Hz(start + scanlevel['windows']),
)
plt.figure(figsize=(15,10))
plt.grid()
freqs = np.linspace(summaries['freq']['start'], summaries['freq']['end'], num=summaries['samples']['nbsamplescolumn'])
limitmin = summaries['min']['peak']['min']['mean'] - summaries['min']['peak']['min']['std']
limitmax = summaries['max']['mean'] + summaries['max']['std']
limits = np.linspace(limitmin, limitmax, 5)
# Max
for limit in limits:
plt.axhline(limit, color='blue')
smooth_max = commons.smooth(np.array(summaries['max']['signal']),10, 'flat')
plt.plot(freqs, smooth_max[:len(freqs)],color='red')
# Set X Limit
locs, labels = plt.xticks()
for idx in range(len(labels)):
labels[idx] = commons.float2Hz(locs[idx])
plt.xticks(locs, labels)
plt.xlabel('Freq in Hz')
# Set Y Limit
# plt.ylim(summary['groundsignal'], summary['maxsignal'])
plt.ylabel('Power density in dB')
plt.savefig(img_filename)
plt.close()
def executeHeatmapParameters(cmdargs, config, scanlevel, start):
for gain in scanlevel['gains']:
filename = calcFilename(scanlevel, start, gain)
# Ignore if summary file not exists
summary_filename = "%s.summary" % filename
exists = os.path.isfile(summary_filename)
if not exists:
showVerbose(
config, "%s %s not exist%s" % (
tcolor.RED,
summary_filename,
tcolor.DEFAULT,
))
continue
summaries = loadJSON(summary_filename)
params_filename = "%s.hparam" % filename
exists = os.path.isfile(params_filename)
if exists:
showVerbose(
config, "%sHeatmap Parameter '%s' : %shz-%shz%s" % (
tcolor.GREEN,
scanlevel['name'],
commons.float2Hz(start),
commons.float2Hz(start + scanlevel['windows']),
tcolor.DEFAULT,
))
continue
print "%sHeatmap Parameter '%s' : %shz-%shz for % gain" % (
tcolor.DEFAULT,
scanlevel['name'],
commons.float2Hz(start),
commons.float2Hz(start + scanlevel['windows']),
gain,
)
parameters = {}
parameters['reversetextorder'] = True
# Db
#parameters['db'] = {}
##parameters['db']['mean'] = summaries['avg']['mean']
#parameters['db']['min'] = summaries['avg']['min']
#parameters['db']['max'] = summaries['avg']['max']
# Text
parameters['texts'] = []
parameters['texts'].append(
{'text': "Min signal: %.2f" % summaries['avg']['min']})
parameters['texts'].append(
{'text': "Max signal: %.2f" % summaries['avg']['max']})
parameters['texts'].append(
{'text': "Mean signal: %.2f" % summaries['avg']['mean']})
parameters['texts'].append(
{'text': "Std signal: %.2f" % summaries['avg']['std']})
parameters['texts'].append({'text': ""})
parameters['texts'].append(
{'text': "avg min %.2f" % summaries['avg']['min']})
parameters['texts'].append(
{'text': "std min %.2f" % summaries['avg']['std']})
# Add sscanlevel stations name in legends
if 'stationsfilename' in scanlevel or 'heatmap' in config['global']:
parameters['legends'] = []
if 'stationsfilename' in scanlevel:
parameters['legends'].append(scanlevel['stationsfilename'])
if 'heatmap' in config['global']:
# Add global stations name in legends
if 'heatmap' in config['global'] and "stationsfilenames" in config[
'global']['heatmap']:
for stationsfilename in config['global']['heatmap'][
'stationsfilenames']:
parameters['legends'].append(stationsfilename)
saveJSON(params_filename, parameters)
def searchStation(scanlevel, stations, summaries, samples, limitmin, limitmax):
#search_limit = sorted(limit_list)
freqstep = summaries['freq']['step']
stations['stations'] = sorted(stations['stations'], key=lambda x: commons.hz2Float(x['freq_center']) - commons.hz2Float((x['bw'])))
bwmin = commons.hz2Float(scanlevel['minscanbw'])
bwmax = commons.hz2Float(scanlevel['maxscanbw'])
limits = np.linspace(limitmin, limitmax, 5)
for limit in limits:
# Search peak upper than limit
startup = -1
foundlower = False
for idx in np.arange(len(samples)):
powerdb = samples[idx]
isup = powerdb > limit
# Search first lower limit signal
if not foundlower:
if not isup:
foundlower = True
else:
continue
# Find first upper
if startup == -1:
if isup:
startup = idx
maxidx = startup
maxdb = powerdb
else:
# If upper, check if db is upper
if isup:
if powerdb > maxdb:
maxdb = powerdb
maxidx = idx
# If lower, calc bandwidth and max db
else:
endup = idx - 1
bw_nbstep = endup - startup
bw = bw_nbstep * freqstep
freqidx = startup + int(bw_nbstep / 2)
# TODO: compare with freqidx, set % error ?
freq_center = summaries['freq']['start'] + (maxidx * freqstep)
freq_center = summaries['freq']['start'] + (freqidx * freqstep)
freq_left = freq_center - bw
deltadb = (maxdb - limit)
if bwmin <= bw <= bwmax and deltadb > scanlevel['minrelativedb']:
print "Freq:%s / Bw:%s / Abs: %s dB / From ground:%.2f dB" % (commons.float2Hz(freq_center), commons.float2Hz(bw), maxdb, maxdb - limitmax)
found = False
for station in stations['stations']:
if freq_center >= commons.hz2Float(station['freq_center']) - bw and freq_center <= commons.hz2Float(station['freq_center']) + bw:
found = True
break
if not found:
stations['stations'].append(
{'freq_center': commons.float2Hz(freq_center),
'bw': commons.float2Hz(bw),
'powerdb': float("%.2f" % maxdb),
'relativedb': float("%.2f" % (maxdb - limitmin))
}
)
stations['stations'] = sorted(stations['stations'], key=lambda x: commons.hz2Float(x['freq_center']) - commons.hz2Float(x['bw']))
startup = -1
