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pyacmegraph.py
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#!/usr/bin/env python3
""" ACME power probe capture and analysis tool
Connects to ACME devices, captures and displays data. Provides save/load
capabilities, as well as some computation features.
"""
import numpy as np
import pyqtgraph as pg
from pyqtgraph.Qt import QtGui, QtCore
from pyqtgraph.parametertree import Parameter, ParameterTree
import iio
import sys
import argparse
import struct
import threading
import time
import os
import copy
import pickle
import xmlrpc.client
import types
import re
__license__ = "MIT"
__status__ = "Development"
# ACME settings
integration_time = "0.000588"
in_oversampling_ratio = "1"
max_freq = 800 # experimental max sampling freq limit because if I2C link (in Hz)
parser = argparse.ArgumentParser(description='ACME measurements capture and display tool.',
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog='''
This tools captures exclusively Vbat and Vshunt values from ACME probes. Using Rshunt
(auto-detected or forced), it computes and displays the resulting power (Vbat*Vshunt/Rshunt).
Capture settings are automatically setup to optimize sampling resolution, but can be overriden.
Example usage:
''' + sys.argv[0] + ''' --ip baylibre-acme.local --shunts=100,50,250 -v
''')
parser.add_argument('--load', metavar='file',
help='''load .acme file containing data to display (switches
to display-only mode)''')
parser.add_argument('--template', metavar='file',
help='''load .acme file settings section only (colors,
plot names, shunts ...). Useful for starting a fresh
capture session re-using a previous saved setup''')
parser.add_argument('--inttime', metavar='value', nargs='?', default='',
help='integration time to use instead of default value ('
+ integration_time + 's). Use without value to get the list '
'of accepted values')
parser.add_argument('--oversmplrt', metavar='value', type=int,
help='oversampling ratio to use instead of default value ('
+ in_oversampling_ratio + ')')
parser.add_argument('--norelatime', action='store_true',
help='display absolute time from device')
parser.add_argument('--ip', help='IP address of ACME')
parser.add_argument('--shunts',
help='''list of shunts to use in mOhms (comma separated list,
one shunt value per channel, starting at channel 0) Ex: 100,50,250''')
parser.add_argument('--meancapture', action='store_true',
help='''Capture mean values only (compute the mean values of the capture
buffers and store only these mean values). Full data are dropped.
Helps with long captures.''')
parser.add_argument('--vbat', type=float, help=''' Force a constant Vbat value (in Volts)
to be used for computing power, in place of ACME measured vbat''')
parser.add_argument('--ishunt', action='store_true',
help='Display Ishunt instead of Power')
parser.add_argument('--forcevshuntscale', metavar='scale', nargs='?', default=0, type=float,
help='''Override Vshunt scale value, and force application start even
if identifying a Vshunt scaling problem''')
parser.add_argument('--timeoffset', metavar='time', type=float, help='''Add an offset to displayed time
(can be negative) in offline mode''')
parser.add_argument('--verbose', '-v', action='count', default=0,
help='print debug traces (various levels v, vv, vvv)')
args = parser.parse_args()
if args.verbose >= 3:
print("args: ", args)
dir = os.path.dirname(__file__)
if args.oversmplrt and args.oversmplrt > 0:
in_oversampling_ratio = str(args.oversmplrt)
# channels mapping: 'name used here' vs 'ACME naming'
cdict = { 'Vshunt' : 'voltage0',
'Vbat' : 'voltage1',
'Time' : 'timestamp',
'Ishunt' : 'current3',
'Power' : 'power2',
}
# channels to enable (will be sent from ACME over I2C and up to app buffers)
enadict = { 'Vshunt' : True,
'Vbat' : True,
'Time' : True,
}
# buffers content (column indexes)
plots_indexes = { 'time' : 0,
'pwr' : 1,
'vbat' : 2,
}
colors = [ "#0088FF", "#FF5500", "#449900", "#AA00AA", "#4444FF", "#994400", "#99AA00", "#990000", "#0088FF", "#FF5500", "#449900", "#AA00AA", "#4444FF", "#994400", "#99AA00", "#990000" ]
vbat_colors = [ "#55CCFF", "#FFAA55", "#88DD00", "#FF00FF", "#9999FF", "#DD8833", "#DDFF00", "#FF3333", "#55CCFF", "#FFAA55", "#88DD00", "#FF00FF", "#9999FF", "#DD8833", "#DDFF00", "#FF3333" ]
mean_colors = [ "#0044AA", "#AA1100", "#005500", "#660066", "#0000AA", "#550000", "#556600", "#550000", "#0044AA", "#AA1100", "#005500", "#660066", "#0000AA", "#550000", "#556600", "#550000" ]
# table containing all data for all channels
databufs = []
plotindex = 0
# dict containing all additional variables related to display settings
dispvars = {}
# state variable for initializing parameters from external file (template feature)
tmpl_setup = False
# Display power by default, but can display Ishunt alternatively (must be selected before init)
dispvars['display Ishunt'] = False
# default strings for displaying captured data (default Power, but can be changed to Ishunt)
dispstr = {}
dispstr['pwr_ishunt_str'] = "Power (mW)"
dispstr['pwr_plot_str'] = "Power plot"
dispstr['pwr_color_str'] = "Power color"
# Handle XMLRPC services related to an ACME device
class acmeXmlrpc():
def __init__(self, address):
self.setup = False
self.dev2phy = {}
serveraddr = "%s:%d" % (address, 8000)
self.proxy = xmlrpc.client.ServerProxy("http://%s/acme" % serveraddr)
# probe for each ACME Probe and generate a table linking physical Probe sockets
# with IIO devices
dev_index = 0
# support up to 16 probes
for i in range(1,17):
try:
info = self.proxy.info("%s" % i)
except:
if args.verbose >= 1:
print(" No XMLRPC service found for this device")
return
if str(info).find('Failed') != -1:
# Probe socket no used
if args.verbose >= 2:
print((" XMLRPC: Probe socket %d empty" % (i)))
else:
if args.verbose >= 1:
print((" XMLRPC: Probe socket %d CONNECTED (IIO:%d)" % (i, dev_index)))
self.dev2phy[dev_index] = i
dev_index +=1
self.setup = True
# The info service provides informations not exposed through IIO
def info(self, index):
infod = {}
if not self.setup or index not in self.dev2phy:
return infod
try:
info = self.proxy.info("%s" % self.dev2phy[index])
except:
if args.verbose >= 1:
print("XMLRPC error")
return infod
if str(info).find('Has Power Switch') != -1:
infod['power switch'] = True
match = re.match(r'PowerProbe (.+) \(', str(info))
if match:
infod['name'] = match.group(1)
match = re.search(r'Serial Number: (\S+)', str(info))
if match:
infod['serial'] = match.group(1)
return infod
# Handle a device (setup channels), retrieve and format data and store them into data buffer
# Then the main thread can read from data to plot it.
# The global data_thread_lock lock shall be used when accessing data.
class deviceThread(threading.Thread):
def __init__(self, threadid, dev, rshunt, ndevices, enadict, vbat=0, ishunt=False, xmlrpc=None):
threading.Thread.__init__(self)
self.crdict = {}
self.scaledict = {}
self.abs_start_time = 0
self.first_run = True
self.running = True
self.sample_period_stats_mean = 0
self.estimated_freq = 0
self.shunt_override = False
self.buf = None
self.power_switch = False
self.meta = {}
self.dev = dev
self.ndevices = ndevices
self.data = np.empty((0, 3))
self.meandata = np.empty((0, 3))
self.sample_period_stats = np.empty(0)
self.enadict = enadict
self.vbat = vbat
self.ishunt = ishunt
self.capture_index = 0
print("Configuring new device %d of %d. Name: %s ; id: %s" %(threadid + 1, ndevices, dev.name, dev.id))
# set oversampling for max perfs (4 otherwise)
dev.attrs['in_oversampling_ratio'].value = in_oversampling_ratio
# enforce synchronous reads
dev.attrs['in_allow_async_readout'].value = "0"
if args.verbose >= 1:
print("Showing attributes for %s" % (dev.id))
for k, at in list(dev.attrs.items()):
print(" %s (%s)" % (at.name, at.value))
print("---------------")
# configuring channels for this device
for k, v in list(cdict.items()):
ch = dev.find_channel(v)
if ch:
if args.verbose >= 1:
print("Found %s channel: %s (%s)" % (k, ch.id, ch.attrs['index'].value))
if self.enadict.get(k):
if ch.attrs.get('scale'):
scale = float(ch.attrs.get('scale').value)
if k == "Time":
print("WARNING: scale on Time channel!!!")
# Check Vshunt scale
if k == "Vshunt" and scale != 0.0025:
print(("Error: suspicious scale value on Vshunt channel" \
" (found %f instead of 0.0025 expected)!" % (scale)))
print("Measurements may be wrong! Check ACME file-system version." \
" (use --forcevshuntscale option to force app start)")
if args.forcevshuntscale == 0:
# argument not provided
sys.exit(0)
if k == "Vshunt" and args.forcevshuntscale != 0:
if args.forcevshuntscale == None:
print(("Using default Vshunt scale value (%f)" % (scale)))
else:
scale = args.forcevshuntscale
print(("Forcing Vshunt scale to %f"% (scale)))
else:
scale = 1.0
self.scaledict[k] = scale
if args.verbose >= 1:
print(" scale: %f" % (scale))
if ch.attrs.get("integration_time"):
# change integration time for max capture rate
ch.attrs.get("integration_time").value = integration_time
if args.verbose >= 1:
print(" enabling...")
ch.enabled = True
# print ch.scan_element
# print ch.attrs
self.crdict[k] = ch
else:
print("Could not find %s channel..." % (k))
sys.exit()
self.sampling_freq_acme = float(dev.attrs['in_sampling_frequency'].value)
# clip to the maximum sampling freq achieve-able with the BBB i2c bus
# anyway, keep track of the acme setup for reference
self.sampling_freq = int(min(max_freq, self.sampling_freq_acme) / self.ndevices)
if args.verbose >= 1:
print("Configured sampling frequency: %.0fHz (acme: %f)" % (self.sampling_freq, self.sampling_freq_acme))
# Adjust buffer size based on expected frequency
# size buffer to store 0.5s if possible
buffer_size = int(self.sampling_freq / 2)
if buffer_size < 64:
buffer_size = 64
if args.verbose >= 1:
print("Adjusted buffer size to %d samples" % (buffer_size))
self.buffer_size = buffer_size
if rshunt == 0:
# no override value passed, try to get it from device
if dev.attrs.get("in_shunt_resistor"):
rshunt = int(int(dev.attrs['in_shunt_resistor'].value) / 1000)
if args.verbose >= 1:
print("Reading shunt value from device: %dmOhms" % rshunt)
else:
self.shunt_override = True
if rshunt == 0:
# force a default value
rshunt = 100
self.rshunt = rshunt
if args.verbose >= 1:
print("Using shunt value: %dmOhms" % (self.rshunt))
# Checking other device information through XML-RPC (if available)
if type(xmlrpc) is not type(None):
self.meta = xmlrpc.info(threadid)
if 'power switch' in self.meta:
self.power_switch = True
if args.verbose >= 1 and self.meta:
print("Probe related meta data:")
for key, elem in list(self.meta.items()):
print((" %s: %s" %(key, elem)))
if not "name" in self.meta:
self.meta['name'] = ''
if args.verbose >= 1:
print("=====================")
def run(self):
self.buf = iio.Buffer(self.dev, self.buffer_size)
if args.verbose >= 1:
print("<%s> Starting %s" % (self.dev.id, self.dev.name))
print("<%s> sample freq from device: %fHz" %(self.dev.id, float(self.dev.attrs['in_sampling_frequency'].value)))
print("<%s> Creating iio buffer, size = %d samples" % (self.dev.id, self.buffer_size))
ti_last_start = 0.0
while self.running:
ti_start = time.time()
self.buf.refill()
ti_iiorefill = time.time()
# Read and compute timer channel
acmetime = self.crdict.get("Time").read(self.buf)
unpack_str = 'q' * (len(acmetime) // struct.calcsize('q'))
val_time = struct.unpack(unpack_str, acmetime)
# do not apply scale on time
# val_time = np.asarray(val_time) * scaledict.get("Time")
val_time = np.asarray(val_time)
# print "Read %d samples" % (len(val_time)) # reads a complete buffer each time
if not args.norelatime:
if self.first_run:
self.abs_start_time = val_time[0]
val_time = val_time - self.abs_start_time
# convert time from ns to ms (requires conversion from int to float - makes a table copy...)
val_time = val_time.astype(float) / 1000000
# Read channels and compute power on this bufer
vshunt = self.crdict.get("Vshunt").read(self.buf)
unpack_str = 'h' * (len(vshunt) // struct.calcsize('h'))
val_vshunt = struct.unpack(unpack_str, vshunt)
val_vshunt = np.asarray(val_vshunt) * self.scaledict.get("Vshunt")
if self.enadict.get('Vbat') == True:
vbat = self.crdict.get("Vbat").read(self.buf)
val_vbat = struct.unpack(unpack_str, vbat)
val_vbat = np.asarray(val_vbat) * self.scaledict.get("Vbat")
else:
# Use fixed value instead
val_vbat = np.full(len(val_vshunt), int(self.vbat * 1000), dtype=int)
if self.ishunt:
# Compute Ishunt (in mA : 1000x mV / mO) instead of power
val_power = (val_vshunt * 1000) / self.rshunt
else:
# compute power using minimal data (Vbat and Vshunt - we know Rshunt)
# compute value in mW (mV x mV / mO)
val_power = (val_vshunt * val_vbat) / self.rshunt
if args.verbose >= 3:
print("<%s> Time (ns => ms) -------------------- " % (self.dev.id))
print(val_time)
print("<%s> Vbat (mV) -------------------- " % (self.dev.id))
print(val_vbat)
print("<%s> Vshunt (mV) -------------------- " % (self.dev.id))
print(val_vshunt)
if self.ishunt:
print("<%s> Ishunt (mA) -------------------- " % (self.dev.id))
else:
print("<%s> Power (mW) -------------------- " % (self.dev.id))
print(val_power)
data_thread_lock.acquire()
# Try to detect discontinuities
if not self.first_run:
# Compute buffer time since last buffer
if args.meancapture:
last_buf_time = self.data[self.capture_index - 1, 0]
last_delta = val_time.mean(0) - last_buf_time
capture_buf_period = val_time[val_time.shape[0] - 1] - val_time[0]
# if last buffer is farther than 1 buffer length + 5%, trigger a warning
if last_delta > 1.05 * capture_buf_period:
missed_samples = int(((last_delta - capture_buf_period) * self.sampling_freq) / 1000)
print("<%s> ** Warning: data overflow (and loss - %d samples - %dms) suspected!" % (self.dev.id, missed_samples, last_delta - capture_buf_period))
print("<%s> ** last buf: %f, new buf: %f, diff(ms): %f, last bug length (ms): %f" %(self.dev.id, last_buf_time, val_time.mean(0), last_delta, capture_buf_period))
else:
last_buf_time = val_time[0] - self.data[self.data.shape[0] - 1, 0]
# trigger a warning if last time buffer is longer than 6 expected periods
if last_buf_time > 6 * 1000/self.sampling_freq:
missed_samples = int((last_buf_time * self.sampling_freq) / 1000)
print("<%s> ** Warning: data overflow (and loss - %d samples) suspected!" % (self.dev.id, missed_samples))
print("<%s> ** last buf: %f, new buf: %f, diff(ms): %f, period (ms): %f" %(self.dev.id, self.data[self.data.shape[0] - 1, 0], val_time[0], last_buf_time, 1000/self.sampling_freq))
ti_iioextract = time.time()
# add new captured points to table
if args.meancapture:
# Compute and store capture buffers mean values only
# check space for storing new sample
if self.capture_index >= self.data.shape[0]:
# increase buffer size
if args.verbose >= 2:
print("<%s> Increasing receive buffer size\n" % (self.dev.id))
tmp = self.data
self.data = np.empty((self.data.shape[0] + self.buffer_size, 3))
self.data[:tmp.shape[0]] = tmp
# store new sample
self.data[self.capture_index] = [val_time.mean(0), val_power.mean(0), val_vbat.mean(0)]
self.capture_index += 1
else:
tmp = self.data
self.data = np.empty((self.data.shape[0] + self.buffer_size, 3))
self.data[:tmp.shape[0]] = tmp
self.data[tmp.shape[0]:, 0] = val_time
self.data[tmp.shape[0]:, 1] = val_power
self.data[tmp.shape[0]:, 2] = val_vbat
# Compute and store power mean value on received buffer
self.meandata = np.append(self.meandata, [[ (val_time[0] + val_time[-1])/2, val_power.mean(), val_vbat.mean() ]], axis=0)
data_thread_lock.release()
ti_cpdata = time.time()
if args.verbose >= 3:
print("<%s> mean power (mW) -------------------- " % (self.dev.id))
print(self.meandata.shape)
print(self.meandata)
estimated_freq = (1000 * self.buffer_size) / (val_time[val_time.shape[0] - 1 ] - val_time[0])
if args.verbose >= 2:
print("<%s> iiorefill: %f; iioextract: %f; cpdata: %f; total: %f; (since last: %f) Freq: %.1fHz" % \
(self.dev.id, ti_iiorefill - ti_start, ti_iioextract - ti_iiorefill, ti_cpdata - ti_iioextract, \
ti_cpdata - ti_start, ti_start - ti_last_start, estimated_freq))
if not self.first_run:
# add last period element time in ms
self.sample_period_stats = np.append(self.sample_period_stats, (ti_start - ti_last_start) * 1000)
#only keep the last 10 period values
self.sample_period_stats = self.sample_period_stats[-10:]
# compute period mean
self.sample_period_stats_mean = self.sample_period_stats.mean(0)
# print self.sample_period_stats[-10:]
# print "period: ", self.sample_period_stats_mean
# print self.sample_period_stats
self.estimated_freq = estimated_freq
ti_last_start = ti_start
if self.first_run:
self.first_run = False
if args.vbat:
print(("Do not measure Vbat from ACME, and use a fixed Vbat value (%.3fV) to measure power" % (args.vbat)))
enadict['Vbat'] = False
def setup_ishunt():
dispstr['pwr_ishunt_str'] = 'Ishunt (mA)'
dispstr['pwr_plot_str'] = 'Ishunt plot'
dispstr['pwr_color_str'] = 'Ishunt color'
dispvars['display Ishunt'] = True
if args.ishunt:
if not args.load and not args.template:
setup_ishunt()
else:
print("Ignoring ishunt option (using settings from loaded acme file)")
if args.load:
print("Reading %s file..." % (args.load))
pkl_file = open(args.load, 'rb')
dispvars = pickle.load(pkl_file)
databufs = pickle.load(pkl_file)
if args.timeoffset:
# update data points
for t in databufs:
gdata = t['gdata'][0:t['plotindex']]
gdata[:,0] += args.timeoffset
# Update zoom window visible range
dispvars['zoom range'] = list(dispvars['zoom range'])
for i,t in enumerate(dispvars['zoom range']):
t += args.timeoffset
dispvars['zoom range'][i] = t
# Keep backward compatibility with files without added fields
for i, t in enumerate(databufs):
if 'mdata' not in t:
if args.verbose >= 2:
print("mdata not found, creating it")
t['mdata'] = np.empty((0,3))
if args.verbose >= 2:
print("Loaded data:")
print(databufs)
pkl_file.close()
if args.template:
print("Reading %s file..." % (args.template))
pkl_file = open(args.template, 'rb')
dispvars = pickle.load(pkl_file)
pkl_file.close()
tmpl_setup = True
if dispvars['display Ishunt'] == True:
# May have loaded Ishunt setup from file, so make sure to apply to it
# to capture and / or menus
args.ishunt = True
setup_ishunt()
if not args.load:
print("Connecting with ACME...")
# IIO inits
try:
if args.ip:
print(" Connecting with IP address: ", args.ip)
ctx = iio.Context("ip:" + args.ip)
acme_address = args.ip
else:
print(" Connecting using iio fallback (IIOD_REMOTE=<%s>)" % (os.environ['IIOD_REMOTE']))
ctx = iio.Context()
acme_address = os.environ['IIOD_REMOTE']
except:
print("ERROR creating ACME iio context, aborting.")
sys.exit()
if args.inttime == None:
# option without arguments: fetch expected values, print them and exit
print(" Please, use one of the following integration times:")
print(" ", ctx.devices[0].attrs['integration_time_available'].value)
sys.exit()
elif args.inttime:
# try to use parameter passed
if args.inttime in ctx.devices[0].attrs['integration_time_available'].value.split(' '):
integration_time = args.inttime
if args.verbose >= 1:
print("Using passed integration time: ", integration_time)
else:
print("Wrong integration time passed (%s), leaving..." % (args.inttime))
print("Please, use one of the following integration times:")
print(" ", ctx.devices[0].attrs['integration_time_available'].value)
sys.exit()
# Get per channel shunt values, if provided
# shunts table only used to pass override value (if any) at device init
shunts = [ 0 ] * len(ctx.devices) # 0 to not override shunt value
if args.shunts:
# get list of shunts from command-line and convert it to a list of int
pshunt = list(map(int, args.shunts.split(',')))
# note that parameter list may be incomplete, so make sure shunts is padded with enough 0s
shunts[0:len(pshunt)-1] = pshunt
if args.verbose >= 2:
print(" Using following shunts values, per device: ", shunts)
# Try to use XMLRPC service with ACME
acme_xmlrpc = acmeXmlrpc(acme_address)
# Create threads: 1 for each ACME detected device
data_thread_lock = threading.Lock() # Lock used for any shared data buffer access
threads = []
thread_id = 0
devices = sorted(ctx.devices, key=lambda device: int(device.id[10:]))
for d in devices:
thread = deviceThread(thread_id, d, shunts[thread_id], len(ctx.devices),
enadict, args.vbat, args.ishunt, acme_xmlrpc)
threads.append(thread)
databufs.append({'gdata' : np.empty((0,3)), 'mdata' : np.empty((0,3)), 'deviceid' : d.id, 'devicename' : d.name,
'name' : thread.meta['name'], 'plotindex' : 0})
thread_id += 1
# print databufs
# sys.exit()
# Startup all threads after setup, so that sampling rates are consolidated
if args.verbose >= 2:
print(threads)
for thread in threads:
thread.start()
## Switch to using white background and black foreground
pg.setConfigOption('background', 'w')
pg.setConfigOption('foreground', 'k')
#generate layout
app = QtGui.QApplication(["ACME Power Audit"])
win = QtGui.QWidget()
l = QtGui.QGridLayout()
win.setLayout(l)
# Add configuration display
params_template = {'name': '', 'type': 'group', 'children': [
{'name': 'Label', 'type': 'str', 'value': ""},
{'name': '', 'type': 'bool', 'value': True, 'tip': "click to display this device " + dispstr['pwr_plot_str']},
{'name': 'Color', 'type': 'color', 'value': "FF0", 'tip': "This is a color button"},
{'name': '', 'type': 'bool', 'value': False, 'tip': "click to display this device Vbat plot"},
{'name': 'Color', 'type': 'color', 'value': "FF0", 'tip': "This is a color button"},
]}
params = [{'name': 'Devices', 'type': 'group', 'children': []}]
# Add per channel parameters
for i, t in enumerate(databufs):
params[0]['children'].append(copy.deepcopy(params_template))
# group name: device
params[0]['children'][i]['name'] = t['deviceid'] + " (" + t['devicename'] + ")"
# label for convenience
params[0]['children'][i]['children'][0]['name'] = 'label, ' + str(i)
params[0]['children'][i]['children'][0]['value'] = t['name']
# pwr plot enable
params[0]['children'][i]['children'][1]['name'] = dispstr['pwr_plot_str'] + ', ' + str(i)
# pwr plot color
params[0]['children'][i]['children'][2]['name'] = dispstr['pwr_color_str'] + ', ' + str(i)
params[0]['children'][i]['children'][2]['value'] = colors[i]
# vbat plot enable
params[0]['children'][i]['children'][3]['name'] = 'Vbat Plot, ' + str(i)
# vbat plot color
params[0]['children'][i]['children'][4]['name'] = 'Vbat color, ' + str(i)
params[0]['children'][i]['children'][4]['value'] = vbat_colors[i]
# print params
# print "----"
params[0]['children'].append({'name': 'Mean plot', 'type': 'bool', 'value': False})
if not args.load:
# Add capture related settings (button for re-starting the capture, ...)
devswitch_tmpl = {'name': '', 'type': 'bool', 'tip': 'Control ACME power switch for this device'}
rshunt_tmpl = {'name': 'RshuntX', 'type': 'int', 'value': 10}
smpl_period_tmpl = {'name': '', 'type': 'float', 'value': 0, 'readonly': True}
est_freq_tmpl = {'name': '', 'type': 'int', 'value': 0, 'readonly': True}
capturectrlb = {'name': 'Capture control', 'type': 'group', 'children': [
{'name': 'Re-init buffers', 'type': 'action'},
{'name': 'Power-switches', 'type': 'group', 'children': []},
{'name': 'plot rate (ms)', 'type': 'int', 'value': 500},
{'name': 'Rshunts (mOhms)', 'type': 'group', 'children': []},
{'name': 'Buffer period stats (ms)', 'type': 'group', 'children': []},
{'name': 'Samples per second', 'type': 'group', 'children': []},
{'name': 'oversampling ratio', 'type': 'int', 'value': in_oversampling_ratio, 'readonly': True},
{'name': 'integration time', 'type': 'str', 'value': integration_time, 'readonly': True},
]}
freq_total = {'name': 'Total samples', 'type': 'int', 'value': 0, 'readonly': True}
for i, t in enumerate(threads):
if t.power_switch and 'in_active' in t.dev.attrs:
ds = copy.deepcopy(devswitch_tmpl)
ds['name'] = 'Device, ' + str(i)
ds['value'] = t.dev.attrs['in_active'].value != '0'
capturectrlb['children'][1]['children'].append(ds)
rs = copy.deepcopy(rshunt_tmpl)
rs['name'] = 'Rshunt, ' + str(i)
rs['value'] = t.rshunt
capturectrlb['children'][3]['children'].append(rs)
per = copy.deepcopy(smpl_period_tmpl)
per['name'] = "s:" + t.dev.id # add heading 's' for 'sampling period'
capturectrlb['children'][4]['children'].append(per)
frq = copy.deepcopy(est_freq_tmpl)
frq['name'] = "h:" + t.dev.id # add heading 'h' for 'hertz'
capturectrlb['children'][5]['children'].append(frq)
capturectrlb['children'][5]['children'].append(freq_total)
params.append(capturectrlb)
# Add distribution graph settings
thlistid = []
for t in databufs:
thlistid.append(t['deviceid'] + ', pwr')
thlistid.append(t['deviceid'] + ', vbat')
histalgos = [ 'auto', 'fd', 'doane', 'scott', 'rice', 'sturges', 'sqrt' ]
distrib = {'name': 'Distribution plot', 'type': 'group', 'children': [
{'name': 'Dist enable', 'type': 'bool', 'value': False, 'tip': "click to enable distribution on zoom window"},
{'name': 'dist. algo.', 'type': 'list', 'values': histalgos, 'value': 2},
{'name': 'dev. select.', 'type': 'list', 'values': thlistid, 'value': 1},
]}
params.append(distrib)
# Add mouse pointer info
mousep_pwr_tmpl = {'name': 'Float', 'type': 'float', 'value': 0, 'step': 0.001, 'readonly': True}
mousep = {'name': 'Mouse pointer', 'type': 'group', 'children': [
{'name': 'time', 'type': 'int', 'value': 0, 'readonly': True},
]}
for t in databufs:
pwr = copy.deepcopy(mousep_pwr_tmpl)
pwr['name'] = "p:" + t['deviceid'] # add heading 'p' for 'position'
mousep['children'].append(pwr)
params.append(mousep)
# Add mean power values computation
zoomp_mean_tmpl = {'name': 'Float', 'type': 'float', 'value': 0, 'step': 0.001, 'readonly': True}
zoomp = {'name': 'Zoom plot', 'type': 'group', 'children': [
{'name': 'width (ms)', 'type': 'float', 'value': 0, 'readonly': True},
{'name': 'Mean ' + dispstr['pwr_ishunt_str'], 'type': 'group', 'children': []},
{'name': 'Accumulated Energy (J or Ws)', 'type': 'group', 'children': []},
]}
for t in databufs:
m = copy.deepcopy(zoomp_mean_tmpl)
m['name'] = "m:" + t['deviceid'] # add heading 'm' for 'mean'
zoomp['children'][1]['children'].append(m)
m = copy.deepcopy(zoomp_mean_tmpl)
m['name'] = "e:" + t['deviceid'] # add heading 'e' for 'energy'
zoomp['children'][2]['children'].append(m)
# Add Mean Vbat (mV) computation
vbat_mean_tmpl = {'name': 'Float', 'type': 'float', 'value': 0, 'step': 0.001, 'readonly': True}
vbatm = {'name': 'Mean Vbat (mV)', 'type': 'group', 'children': [
{'name': 'Vbat enabled', 'type': 'bool', 'value': False, 'tip': "click to enable vbat mean computation on zoom window"},
]}
for t in databufs:
m = copy.deepcopy(vbat_mean_tmpl)
m['name'] = "v:" + t['deviceid'] # add heading 'v' for 'vbat'
vbatm['children'].append(m)
zoomp['children'].append(vbatm)
params.append(zoomp)
# Add file operations menu
fileopm = {'name': 'File operations', 'type': 'group', 'children': [
{'name': 'Save to binary (.acme)', 'type': 'action'},
{'name': 'Save to text (.csv)', 'type': 'action'},
{'name': 'Save to picture', 'type': 'action'},
]}
params.append(fileopm)
if args.verbose >= 2:
print(params)
## Create tree of Parameter objects
try:
pt = Parameter.create(name='params', type='group', children=params)
except:
print("Error, Stopping threads...")
print(sys.exc_info())
for t in threads:
t.running = False
for t in threads:
t.join()
sys.exit()
def reinit_buffers():
data_thread_lock.acquire()
for t in threads:
t.data = np.empty((0, 3))
t.meandata = np.empty((0, 3))
t.first_run = True
data_thread_lock.release()
def tree_trace_param(param, path, data):
if args.verbose >= 2:
print(path)
if path is not None:
childName = '.'.join(path)
else:
childName = param.name()
print((' parameter: %s'% childName))
print((' change: %s'% change))
print((' data: %s'% str(data)))
## If anything changes in the tree, print a message
def change(param, changes):
# print("tree changes:")
for param, change, data in changes:
path = pt.childPath(param)
# now update field if possible
if not path:
break
if path[0] == 'Devices':
tree_trace_param(param, path, data)
if param.name().find('color') != -1:
field, index = param.name().split(',')
index = int(index)
if field == dispstr['pwr_color_str']:
if type(data) is str:
col = data
elif type(data) is tuple:
# color update coming from saved preferences
col = '#' + format(data[0], '02x') + format(data[1], '02x') + format(data[2], '02x')
if args.verbose >= 1:
print(" Updating Pwer color (device %d) to <%s>" % (index, col))
else:
# we go a PyQt4.QtGui.QColor object
col = str(data.name())
if args.verbose >= 2:
print("setting " + dispstr['pwr_plot_str'] + " color of device %d to: %s" % (index, col))
colors[index] = col
if field == 'Vbat color':
if type(data) is str:
col = data
elif type(data) is tuple:
# color update coming from saved preferences
col = '#' + format(data[0], '02x') + format(data[1], '02x') + format(data[2], '02x')
if args.verbose >= 1:
print(" Updating Vbat color (device %d) to <%s>" % (index, col))
else:
# we go a PyQt4.QtGui.QColor object
col = str(data.name())
if args.verbose >= 2:
print("setting vbat plot color of device %d to: %s" % (index, col))
vbat_colors[index] = col
tree_trace_param(param, path, data)
updateplots()
elif path[0] == 'Distribution plot':
display_histogram()
tree_trace_param(param, path, data)
elif path[0] == 'Zoom plot':
if param.name() == 'Vbat enabled':
updateplots()
tree_trace_param(param, path, data)
elif path[0] == 'Capture control':
if len(path) > 1:
if path[1] == 'Rshunts (mOhms)':
tree_trace_param(param, path, data)
if param.name().find('Rshunt,') != -1:
field, index = param.name().split(',')
index = int(index)
if field == 'Rshunt':
if tmpl_setup == False:
if args.verbose >= 2:
print("Setting Rshunt of device %d to: %dmOhms" % (index, int(data)))
threads[index].rshunt = int(data)
else:
if threads[index].shunt_override == False:
if args.verbose >= 1:
print(" Updating Rshunt of device %d to: %dmOhms" % (index, int(data)))
threads[index].rshunt = int(data)
else:
# Load shunt from parameter only if not overriden from command line
pt.child('Capture control', 'Rshunts (mOhms)', 'Rshunt, ' + str(index)).setValue(threads[index].rshunt)
if path[1] == 'Power-switches':
tree_trace_param(param, path, data)
if param.name().find('Device') != -1:
field, index = param.name().split(',')
index = int(index)
threads[index].dev.attrs['in_active'].value = str(int(data))
if param.name() == 'Re-init buffers':
if args.verbose >= 2:
print("Re-init buffers!!!")
reinit_buffers()
elif param.name() == 'plot rate (ms)':
if args.verbose >= 2:
print("changing timer interval to:", int(data))
timer.setInterval(int(data))
tree_trace_param(param, path, data)
elif path[0] == 'File operations':
if param.name() == 'Save to binary (.acme)':
name = QtGui.QFileDialog.getSaveFileName(caption='Save captured data as binary file', filter="ACME captures .acme (*.acme)")
if name:
# enforce .acme extension if no extension provided
filename, file_extension = os.path.splitext(str(name))
if not file_extension:
name += '.acme'
if savedatatofile(name):
if args.verbose >= 1:
print("Saved captured data to : ", name)
if param.name() == 'Save to text (.csv)':
name = QtGui.QFileDialog.getSaveFileName(caption='Save captured data as text file', filter="ACME captures .csv (*.csv)")
if name:
# create n files (1 per channel) and add .csv extension
filename, file_extension = os.path.splitext(str(name))
if filename:
for i, t in enumerate(databufs):
name = filename + "-ch" + str(i) + ".csv"
np.savetxt(name, t['gdata'], delimiter=",", header="Time (ms), " + dispstr['pwr_ishunt_str'] + ", Vbat (mV)")
if args.verbose >= 1:
print("Saving channel %d to %s file" % (i, name))
elif param.name() == 'Save to picture':
diag = QtGui.QFileDialog(caption="Capture plot picture to (.png) file")
diag.setDefaultSuffix("png")
diag.setNameFilter("Images .png (*.png)")
if diag.exec_() == QtGui.QDialog.Accepted:
name = diag.selectedFiles()
time.sleep(1) # wait for dialog widget to be closed, otherwise we capture it...
if QtGui.QPixmap.grabWindow(win.winId()).save(name[0], 'png'):
if args.verbose >= 1:
print("Saved image to: ", name[0])
updateplots()
pt.sigTreeStateChanged.connect(change)
def savedatatofile(filename):
output = open(filename, 'wb')
print("trying to save...")
dispvars['zoom range'] = region.getRegion()
dispvars['ptree'] = pt.saveState()
try:
pickle.dump(dispvars, output, -1)
if not args.load:
data_thread_lock.acquire()
pickle.dump(databufs, output, -1)
except:
if not args.load:
data_thread_lock.release()
return False
if not args.load:
data_thread_lock.release()
print("save done...")
output.close()
return True
ptree = ParameterTree()
ptree.setParameters(pt, showTop=False)
# row , column, rowspan, colspan
l.addWidget(ptree, 1, 0, 4, 1)
label = pg.LabelItem(justify='right')
# Histogram
p0hist = pg.PlotWidget()
l.addWidget(p0hist, 1, 1)
p0hist.setMouseEnabled(x=True, y=False)
# p0hist.setVisible(False)
# Display watermark
p0watermark = pg.ViewBox()
img = pg.QtGui.QGraphicsPixmapItem(pg.QtGui.QPixmap(os.path.join(dir, "media", "baylibre.png")))
p0watermark.addItem(img)
p0watermark.invertY(True)
p0hist.scene().addItem(p0watermark)
# zoom and real-time capture area
p1 = pg.PlotWidget()
l.addWidget(p1, 2, 1)
p1.setDownsampling(ds=True, auto=True, mode='peak')
p1.setClipToView(False)
p1.setMouseEnabled(x=True, y=False)
pi1 = p1.plotItem
p1ybis = pg.ViewBox()
pi1.showAxis('right')
pi1.scene().addItem(p1ybis)
pi1.getAxis('right').linkToView(p1ybis)
p1ybis.setXLink(pi1)
checkfreeze = QtGui.QCheckBox('Freeze display')
if args.load:
checkfreeze.setChecked(True)
checkfreeze.hide()
else:
checkfreeze.setChecked(False)
l.addWidget(checkfreeze, 3, 1)
# global area
p2 = pg.PlotWidget()
l.addWidget(p2, 4, 1)
p2.setDownsampling(ds=True, auto=True, mode='peak')
p2.setClipToView(True)
p2.setMouseEnabled(x=True, y=False)
pi2 = p2.plotItem
p2ybis = pg.ViewBox()
pi2.showAxis('right')
pi2.scene().addItem(p2ybis)
pi2.getAxis('right').linkToView(p2ybis)
p2ybis.setXLink(pi2)
# Setup stretch factors so that increasing window size does not change tree size but increases plots
l.setColumnMinimumWidth(0, 300)
l.setColumnStretch(0, 0)
l.setColumnStretch(1, 1)
win.show()
win.resize(1280,768)
# Create selec-able region in intermediate zoom area
region = pg.LinearRegionItem()
region.setZValue(10)
# Add the LinearRegionItem to the ViewBox, but tell the ViewBox to exclude this
# item when doing auto-range calculations.
# Create selec-able region in global area
region2 = pg.LinearRegionItem()
region2.setZValue(10)
#pg.dbg()
# Configure zoom area display
p1.setAutoVisible(y=True)
p1.addLine(y=0)
p1.showGrid(x=True, y=True, alpha=0.30)
# Debug console with some context passed
# import pyqtgraph.console
# namespace = {'pg': pg, 'np': np, 'data1': data1, 'p1' : p1, 'region': region}
# c = pg.console.ConsoleWidget(namespace=namespace, text="debug console - sebj")
# c.show()
# c.setWindowTitle('pyqtgraph example: ConsoleWidget')
p1meanI = 0
p1meanP = 0
p1period = 0
# redraw p1 if user did modify region (only if display is frozen)
def update_region():
if checkfreeze.isChecked():
region.setZValue(10)
minX, maxX = region.getRegion()
p1.setXRange(minX, maxX, padding=0)
p1period = maxX - minX
display_histogram()
update_zoomp()
update_vbatm()
region.sigRegionChanged.connect(update_region)
# update region display in p2 if user changed zoom level in p1
def updateRegion(window, viewRange):
if checkfreeze.isChecked():
rgn = viewRange[0]
region.setRegion(rgn)
p1.sigRangeChanged.connect(updateRegion)
def update_mouse_coords(mousepoint):
time = mousepoint.x()
pt.child('Mouse pointer', 'time').setValue(time)