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sdrangel/scriptsapi/superscanner.py

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20 KiB
Python
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#!/usr/bin/env python3
"""
Connects to spectrum server to monitor PSD and detect local increase to pilot channel(s)
"""
import requests, traceback, sys, json, time
import struct, operator
import math
import numpy as np
import websocket
try:
import thread
except ImportError:
import _thread as thread
import time
from datetime import datetime
from optparse import OptionParser
import sdrangel
OPTIONS = None
API_URI = None
WS_URI = None
PASS_INDEX = 0
PSD_FLOOR = []
CONFIG = {}
UNSERVED_FREQUENCIES = []
# ======================================================================
class SuperScannerError(Exception):
def __init__(self, message):
self.message = message
# ======================================================================
class SuperScannerWebsocketError(SuperScannerError):
pass
# ======================================================================
class SuperScannerWebsocketClosed(SuperScannerError):
pass
# ======================================================================
class SuperScannerOptionsError(SuperScannerError):
pass
# ======================================================================
class SuperScannerAPIError(SuperScannerError):
pass
# ======================================================================
def log_with_timestamp(message):
t = datetime.utcnow()
print(f'{t.isoformat()} {message}')
# ======================================================================
def get_input_options(args=None):
if args is None:
args = sys.argv[1:]
parser = OptionParser(usage="usage: %%prog [-t]\n")
parser.add_option("-a", "--address", dest="address", help="SDRangel web base address. Default: 127.0.0.1", metavar="ADDRESS", type="string")
parser.add_option("-p", "--api-port", dest="api_port", help="SDRangel API port. Default: 8091", metavar="PORT", type="int")
parser.add_option("-w", "--ws-port", dest="ws_port", help="SDRangel websocket spectrum server port. Default: 8887", metavar="PORT", type="int")
parser.add_option("-c", "--config-file", dest="config_file", help="JSON configuration file. Mandatory", metavar="FILE", type="string")
parser.add_option("-j", "--psd-in", dest="psd_input_file", help="JSON file containing PSD floor information.", metavar="FILE", type="string")
parser.add_option("-J", "--psd-out", dest="psd_output_file", help="Write PSD floor information to JSON file.", metavar="FILE", type="string")
parser.add_option("-n", "--nb-passes", dest="passes", help="Number of passes for PSD floor estimation. Default: 10", metavar="NUM", type="int")
parser.add_option("-m", "--margin", dest="margin", help="Margin in dB above PSD floor to detect acivity. Default: 3", metavar="DB", type="int")
parser.add_option("-f", "--psd-level", dest="psd_fixed", help="Use a fixed PSD floor value.", metavar="DB", type="float")
parser.add_option("-X", "--psd-exclude-higher", dest="psd_exclude_higher", help="Level above which to exclude bin scan.", metavar="DB", type="float")
parser.add_option("-x", "--psd-exclude-lower", dest="psd_exclude_lower", help="Level below which to exclude bin scan.", metavar="DB", type="float")
parser.add_option("-N", "--hotspots-noise", dest="hotspots_noise", help="Number of hotspots above which detection is considered as noise. Default 8", metavar="NUM", type="int")
parser.add_option("-G", "--psd-graph", dest="psd_graph", help="Show PSD floor graphs. Requires matplotlib", action="store_true")
parser.add_option("-g", "--group-tolerance", dest="group_tolerance", help="Radius (1D) tolerance in points (bins) for hotspots grouping. Default 1.", metavar="NUM", type="int")
parser.add_option("-r", "--freq-round", dest="freq_round", help="Frequency rounding value in Hz. Default: 1 (no rounding)", metavar="NUM", type="int")
parser.add_option("-o", "--freq-offset", dest="freq_offset", help="Frequency rounding offset in Hz. Default: 0 (no offset)", metavar="NUM", type="int")
(options, args) = parser.parse_args(args)
if (options.config_file == None):
raise SuperScannerOptionsError('A configuration file is required. Option -c or --config-file')
if (options.address == None):
options.address = "127.0.0.1"
if (options.api_port == None):
options.api_port = 8091
if (options.ws_port == None):
options.ws_port = 8887
if (options.passes == None):
options.passes = 10
elif options.passes < 1:
options.passes = 1
if (options.margin == None):
options.margin = 3
if (options.hotspots_noise == None):
options.hotspots_noise = 8
if (options.group_tolerance == None):
options.group_tolerance = 1
if (options.freq_round == None):
options.freq_round = 1
if (options.freq_offset == None):
options.freq_offset = 0
return options
# ======================================================================
def on_ws_message(ws, message):
global PASS_INDEX
try:
struct_message = decode_message(message)
if OPTIONS.psd_fixed is not None and OPTIONS.passes > 0:
compute_fixed_floor(struct_message)
OPTIONS.passes = 0 # done
elif OPTIONS.psd_input_file is not None and OPTIONS.passes > 0:
global PSD_FLOOR
with open(OPTIONS.psd_input_file) as json_file:
PSD_FLOOR = json.load(json_file)
OPTIONS.passes = 0 # done
elif OPTIONS.passes > 0:
compute_floor(struct_message)
OPTIONS.passes -= 1
PASS_INDEX += 1
print(f'PSD floor pass no {PASS_INDEX}')
elif OPTIONS.passes == 0:
OPTIONS.passes -= 1
if OPTIONS.psd_output_file:
with open(OPTIONS.psd_output_file, 'w') as outfile:
json.dump(PSD_FLOOR, outfile)
if OPTIONS.psd_graph:
show_floor()
else:
scan(struct_message)
except Exception as ex:
tb = traceback.format_exc()
print(tb, file=sys.stderr)
# ======================================================================
def on_ws_error(ws, error):
raise SuperScannerWebsocketError(f'{error}')
# ======================================================================
def on_ws_close(ws):
raise SuperScannerWebsocketClosed('websocket closed')
# ======================================================================
def on_ws_open(ws):
log_with_timestamp('Web socket opened starting...')
def run(*args):
pass
thread.start_new_thread(run, ())
# ======================================================================
def decode_message(byte_message):
struct_message = {}
struct_message['cf'] = int.from_bytes(byte_message[0:8], byteorder='little', signed=False)
struct_message['elasped'] = int.from_bytes(byte_message[8:16], byteorder='little', signed=False)
struct_message['ts'] = int.from_bytes(byte_message[16:24], byteorder='little', signed=False)
struct_message['fft_size'] = int.from_bytes(byte_message[24:28], byteorder='little', signed=False)
struct_message['fft_bw'] = int.from_bytes(byte_message[28:32], byteorder='little', signed=False)
indicators = int.from_bytes(byte_message[32:36], byteorder='little', signed=False)
struct_message['linear'] = (indicators & 1) == 1
struct_message['ssb'] = ((indicators & 2) >> 1) == 1
struct_message['usb'] = ((indicators & 4) >> 2) == 1
struct_message['samples'] = []
for sample_index in range(struct_message['fft_size']):
psd = struct.unpack('f', byte_message[36 + 4*sample_index: 40 + 4*sample_index])[0]
struct_message['samples'].append(psd)
return struct_message
# ======================================================================
def compute_fixed_floor(struct_message):
global PSD_FLOOR
nb_samples = len(struct_message['samples'])
PSD_FLOOR = [(OPTIONS.psd_fixed, False)] * nb_samples
# ======================================================================
def compute_floor(struct_message):
global PSD_FLOOR
fft_size = struct_message['fft_size']
psd_samples = struct_message['samples']
for psd_index, psd in enumerate(psd_samples):
exclude = False
if OPTIONS.psd_exclude_higher:
exclude = psd > OPTIONS.psd_exclude_higher
if OPTIONS.psd_exclude_lower:
exclude = psd < OPTIONS.psd_exclude_lower
if psd_index < len(PSD_FLOOR):
PSD_FLOOR[psd_index][1] = exclude or PSD_FLOOR[psd_index][1]
if psd > PSD_FLOOR[psd_index][0]:
PSD_FLOOR[psd_index][0] = psd
else:
PSD_FLOOR.append([])
PSD_FLOOR[psd_index].append(psd)
PSD_FLOOR[psd_index].append(exclude)
# ======================================================================
def show_floor():
import matplotlib
import matplotlib.pyplot as plt
print('show_floor')
plt.figure(1)
plt.subplot(211)
plt.plot([x[1] for x in PSD_FLOOR])
plt.ylabel('PSD exclusion')
plt.subplot(212)
plt.plot([x[0] for x in PSD_FLOOR])
plt.ylabel('PSD floor')
plt.show()
# ======================================================================
def freq_rounding(freq, round_freq, round_offset):
shifted_freq = freq - round_offset
return round(shifted_freq/round_freq)*round_freq + round_offset
# ======================================================================
def scan(struct_message):
ts = struct_message['ts']
freq_density = struct_message['fft_bw'] / struct_message['fft_size']
hotspots = []
hotspot ={}
last_hotspot_index = 0
if struct_message['ssb']:
freq_start = struct_message['cf']
freq_stop = struct_message['cf'] + struct_message['fft_bw']
else:
freq_start = struct_message['cf'] - (struct_message['fft_bw'] / 2)
freq_stop = struct_message['cf'] + (struct_message['fft_bw'] / 2)
psd_samples = struct_message['samples']
psd_sum = 0
psd_count = 1
for psd_index, psd in enumerate(psd_samples):
freq = freq_start + psd_index*freq_density
if PSD_FLOOR[psd_index][1]: # exclusion zone
continue
if psd > PSD_FLOOR[psd_index][0] + OPTIONS.margin: # detection
psd_sum += 10**(psd/10)
psd_count += 1
if psd_index > last_hotspot_index + OPTIONS.group_tolerance: # new hotspot
if hotspot.get("begin"): # finalize previous hotspot
hotspot["end"] = hotspot_end
hotspot["power"] = psd_sum / psd_count
hotspots.append(hotspot)
hotspot = {"begin": freq}
psd_sum = 10**(psd/10)
psd_count = 1
hotspot_end = freq
last_hotspot_index = psd_index
if hotspot.get("begin"): # finalize last hotspot
hotspot["end"] = hotspot_end
hotspot["power"] = psd_sum / psd_count
hotspots.append(hotspot)
process_hotspots(hotspots)
# ======================================================================
def allocate_channel():
channels = CONFIG['channel_info']
for channel in channels:
if channel['usage'] == 0:
return channel
return None
# ======================================================================
def freq_in_ranges_check(freq):
freqrange_inclusions = CONFIG.get('freqrange_inclusions', [])
freqrange_exclusions = CONFIG.get('freqrange_exclusions', [])
for freqrange in freqrange_exclusions:
if freqrange[0] <= freq <= freqrange[1]:
return False
for freqrange in freqrange_inclusions:
if freqrange[0] <= freq <= freqrange[1]:
return True
return False
# ======================================================================
def get_hotspot_frequency(channel, hotspot):
fc_pos = channel.get('fc_pos', 'center')
if fc_pos == 'lsb':
channel_frequency = freq_rounding(hotspot['end'], OPTIONS.freq_round, OPTIONS.freq_offset)
elif fc_pos == 'usb':
channel_frequency = freq_rounding(hotspot['begin'], OPTIONS.freq_round, OPTIONS.freq_offset)
else:
channel_frequency = freq_rounding(hotspot['fc'], OPTIONS.freq_round, OPTIONS.freq_offset)
fc_shift = channel.get('fc_shift', 0)
return channel_frequency + fc_shift
# ======================================================================
def process_hotspots(scanned_hotspots):
global CONFIG
global UNSERVED_FREQUENCIES
if len(scanned_hotspots) > OPTIONS.hotspots_noise:
return
# calculate frequency for each hotspot and create list of valid hotspots
hotspots = []
for hotspot in scanned_hotspots:
width = hotspot['end'] - hotspot['begin']
fc = hotspot['begin'] + width/2
if not freq_in_ranges_check(fc):
continue
hotspot['fc'] = fc
hotspot['begin'] = fc - (width/2) # re-center around fc
hotspot['end'] = fc + (width/2)
hotspots.append(hotspot)
# calculate hotspot distances for each used channel and reuse the channel for the closest hotspot
channels = CONFIG['channel_info']
used_channels = [channel for channel in channels if channel['usage'] == 1]
consolidated_distances = []
for channel in used_channels: # loop on used channels
distances = [[abs(channel['frequency'] - get_hotspot_frequency(channel, hotspot)), hotspot] for hotspot in hotspots]
distances = sorted(distances, key=operator.itemgetter(0))
if distances:
consolidated_distances.append([distances[0][0], channel, distances[0][1]]) # [distance, channel, hotspot]
consolidated_distances = sorted(consolidated_distances, key=operator.itemgetter(0)) # get (channel, hotspot) pair with shortest distance first
# reallocate used channels on their closest hotspot
for distance in consolidated_distances:
channel = distance[1]
hotspot = distance[2]
if hotspot in hotspots: # hotspot is not processed yet
channel_frequency = get_hotspot_frequency(channel, hotspot)
channel['usage'] = 2 # mark channel used on this pass
if channel['frequency'] != channel_frequency: # optimization: do not move to same frequency
channel['frequency'] = channel_frequency
channel_index = channel['index']
set_channel_frequency(channel)
log_with_timestamp(f'Moved channel {channel_index} to frequency {channel_frequency} Hz')
hotspots.remove(hotspot) # done with this hotspot
# for remaining hotspots we need to allocate new channels
for hotspot in hotspots:
channel = allocate_channel()
if channel:
channel_index = channel['index']
channel_frequency = get_hotspot_frequency(channel, hotspot)
channel['usage'] = 2 # mark channel used on this pass
channel['frequency'] = channel_frequency
set_channel_frequency(channel)
log_with_timestamp(f'Allocated channel {channel_index} on frequency {channel_frequency} Hz')
else:
fc = hotspot['fc']
if fc not in UNSERVED_FREQUENCIES:
UNSERVED_FREQUENCIES.append(fc)
log_with_timestamp(f'All channels allocated. Cannot process signal at {fc} Hz')
# cleanup
for channel in CONFIG['channel_info']:
if channel['usage'] == 1: # channel unused on this pass
channel['usage'] = 0 # release it
channel_index = channel['index']
fc = channel['frequency']
set_channel_mute(channel)
UNSERVED_FREQUENCIES.clear() # at least one channel is able to serve next time
log_with_timestamp(f'Released channel {channel_index} on frequency {fc} Hz')
elif channel['usage'] == 2: # channel used on this pass
channel['usage'] = 1 # reset usage for next pass
# ======================================================================
def set_channel_frequency(channel):
deviceset_index = CONFIG['deviceset_index']
channel_index = channel['index']
channel_id = channel['id']
df = channel['frequency'] - CONFIG['device_frequency']
url = f'{API_URI}/sdrangel/deviceset/{deviceset_index}/channel/{channel_index}/settings'
payload = {
sdrangel.CHANNEL_TYPES[channel_id]['settings']: {
sdrangel.CHANNEL_TYPES[channel_id]['df_key']: df,
sdrangel.CHANNEL_TYPES[channel_id]['mute_key']: 0
},
'channelType': channel_id,
'direction': 0
}
r = requests.patch(url=url, json=payload)
if r.status_code // 100 != 2:
raise SuperScannerAPIError(f'Set channel {channel_index} frequency failed')
# ======================================================================
def set_channel_mute(channel):
deviceset_index = CONFIG['deviceset_index']
channel_index = channel['index']
channel_id = channel['id']
url = f'{API_URI}/sdrangel/deviceset/{deviceset_index}/channel/{channel_index}/settings'
payload = {
sdrangel.CHANNEL_TYPES[channel_id]['settings']: {
sdrangel.CHANNEL_TYPES[channel_id]['mute_key']: 1
},
'channelType': channel_id,
'direction': 0
}
r = requests.patch(url=url, json=payload)
if r.status_code // 100 != 2:
raise SuperScannerAPIError(f'Set channel {channel_index} mute failed')
# ======================================================================
def get_deviceset_info(deviceset_index):
url = f'{API_URI}/sdrangel/deviceset/{deviceset_index}'
r = requests.get(url=url)
if r.status_code // 100 != 2:
raise SuperScannerAPIError(f'Get deviceset {deviceset_index} info failed')
return r.json()
# ======================================================================
def make_config():
global CONFIG
deviceset_index = CONFIG['deviceset_index']
deviceset_info = get_deviceset_info(deviceset_index)
device_frequency = deviceset_info["samplingDevice"]["centerFrequency"]
CONFIG['device_frequency'] = device_frequency
for channel_info in CONFIG['channel_info']:
channel_index = channel_info['index']
if channel_index < deviceset_info['channelcount']:
channel_offset = deviceset_info['channels'][channel_index]['deltaFrequency']
channel_id = deviceset_info['channels'][channel_index]['id']
channel_info['id'] = channel_id
channel_info['usage'] = 0 # 0: unused 1: used 2: reused in current allocation step (temporary state)
channel_info['frequency'] = device_frequency + channel_offset
else:
raise SuperScannerAPIError(f'There is no channel with index {channel_index} in deviceset {deviceset_index}')
# ======================================================================
def main():
try:
global OPTIONS
global CONFIG
global API_URI
global WS_URI
OPTIONS = get_input_options()
log_with_timestamp(f'Start with options: {OPTIONS}')
with open(OPTIONS.config_file) as json_file: # get base config
CONFIG = json.load(json_file)
log_with_timestamp(f'Initial configuration: {CONFIG}')
API_URI = f'http://{OPTIONS.address}:{OPTIONS.api_port}'
WS_URI = f'ws://{OPTIONS.address}:{OPTIONS.ws_port}'
make_config() # complete config with device set information from SDRangel
ws = websocket.WebSocketApp(WS_URI,
on_message = on_ws_message,
on_error = on_ws_error,
on_close = on_ws_close)
ws.on_open = on_ws_open
ws.run_forever()
except SuperScannerWebsocketError as ex:
print(ex.message)
except SuperScannerWebsocketClosed:
print("Spectrum websocket closed")
except Exception as ex:
tb = traceback.format_exc()
print(tb, file=sys.stderr)
# ======================================================================
if __name__ == "__main__":
main()
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