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authorMatthias P. Braendli <matthias.braendli@mpb.li>2019-01-09 12:21:21 +0100
committerMatthias P. Braendli <matthias.braendli@mpb.li>2019-01-09 12:21:21 +0100
commit75ba4f064a65ebad77d130f160b9469418e49c9f (patch)
tree85ab6398ae59159eab0acb1501d206f322aa9449
parent8dd12110d63f89eab62097b391fb909478db3d94 (diff)
downloaddabmod-75ba4f064a65ebad77d130f160b9469418e49c9f.tar.gz
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GUI: Add ability to restore previous DPD settings
-rw-r--r--python/dpd/Adapt.py15
-rw-r--r--python/dpd/Model_Poly.py5
-rwxr-xr-xpython/dpdce.py114
-rwxr-xr-xpython/gui/api.py18
-rw-r--r--python/gui/static/js/odr-predistortion.js98
-rw-r--r--python/gui/templates/predistortion.html23
6 files changed, 169 insertions, 104 deletions
diff --git a/python/dpd/Adapt.py b/python/dpd/Adapt.py
index 9c2c2b6..8023a53 100644
--- a/python/dpd/Adapt.py
+++ b/python/dpd/Adapt.py
@@ -152,7 +152,7 @@ class Adapt:
_write_lut_file(scalefactor, lut, self._coef_path)
else:
raise ValueError("Unknown predistorter '{}'".format(dpddata[0]))
- self._mod_rc.set_param_value("memlesspoly", "coefffile", self._coef_path)
+ self._mod_rc.set_param_value("memlesspoly", "coeffile", self._coef_path)
def dump(self, path: str) -> None:
"""Backup current settings to a file"""
@@ -161,26 +161,31 @@ class Adapt:
"txgain": self.get_txgain(),
"rxgain": self.get_rxgain(),
"digital_gain": self.get_digital_gain(),
- "predistorter": self.get_predistorter()
+ "dpddata": self.get_predistorter()
}
with open(path, "wb") as f:
pickle.dump(d, f)
- def load(self, path: str) -> None:
+ def restore(self, path: str):
"""Restore settings from a file"""
with open(path, "rb") as f:
d = pickle.load(f)
self.set_txgain(0)
+
+ # If any of the following fail, we will be running
+ # with the safe value of txgain=0
self.set_digital_gain(d["digital_gain"])
self.set_rxgain(d["rxgain"])
- self.set_predistorter(d["predistorter"])
+ self.set_predistorter(d["dpddata"])
self.set_txgain(d["txgain"])
+ return d
+
# The MIT License (MIT)
#
-# Copyright (c) 2018 Matthias P. Braendli
+# Copyright (c) 2019 Matthias P. Braendli
# Copyright (c) 2017 Andreas Steger
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
diff --git a/python/dpd/Model_Poly.py b/python/dpd/Model_Poly.py
index 7ab6aa1..ef3fed3 100644
--- a/python/dpd/Model_Poly.py
+++ b/python/dpd/Model_Poly.py
@@ -125,6 +125,11 @@ class Poly:
def get_dpd_data(self):
return "poly", self.coefs_am, self.coefs_pm
+ def set_dpd_data(self, dpddata):
+ if dpddata[0] != "poly" or len(dpddata) != 3:
+ raise ValueError("dpddata is not of 'poly' format")
+ _, self.coefs_am, self.coefs_pm = dpddata
+
def _am_calc_line(self, coefs, min_amp, max_amp):
rx_range = np.linspace(min_amp, max_amp)
tx_est = np.sum(self._am_poly(rx_range) * coefs, axis=1)
diff --git a/python/dpdce.py b/python/dpdce.py
index 6c373fd..27c5253 100755
--- a/python/dpdce.py
+++ b/python/dpdce.py
@@ -87,6 +87,7 @@ import numpy as np
import traceback
import os.path
import glob
+import re
from threading import Thread, Lock
from queue import Queue
from dpd.Model import Poly
@@ -134,19 +135,14 @@ if cli_args.reset:
cmd_socket = yamlrpc.Socket(bind_port=control_port)
# The following is accessed by both threads and need to be locked
-settings = {
- 'rx_gain': rx_gain,
- 'tx_gain': tx_gain,
- 'digital_gain': digital_gain,
- 'dpddata': dpddata,
- }
internal_data = {
'n_runs': 0,
}
results = {
+ 'adapt_dumps': [],
'statplot': None,
'modelplot': None,
- 'modeldata': "",
+ 'modeldata': repr(dpddata),
'tx_median': 0,
'rx_median': 0,
'state': 'Idle',
@@ -156,6 +152,17 @@ results = {
lock = Lock()
command_queue = Queue(maxsize=1)
+# Fill list of adapt dumps so that user can choose a previous
+# setting across restarts.
+results['adapt_dumps'].append("defaults")
+
+adapt_dump_files = glob.glob(os.path.join(plot_path, "adapt_*.pkl"))
+re_adaptfile = re.compile(r"adapt_(.*)\.pkl")
+for f in adapt_dump_files:
+ match = re_adaptfile.search(f)
+ if match:
+ results['adapt_dumps'].append(match.group(1))
+
# Automatic Gain Control for the RX gain
agc = Agc(meas, adapt, c)
@@ -171,8 +178,8 @@ def clear_pngs(results):
def engine_worker():
extStat = None
- try:
- while True:
+ while True:
+ try:
cmd = command_queue.get()
if cmd == "quit":
@@ -184,7 +191,7 @@ def engine_worker():
clear_pngs(results)
summary = []
- N_ITER = 5
+ N_ITER = 3
for i in range(N_ITER):
agc_success, agc_summary = agc.run()
summary += ["Iteration {}:".format(i)] + agc_summary.split("\n")
@@ -199,8 +206,6 @@ def engine_worker():
txframe_aligned, tx_ts, rxframe_aligned, rx_ts, rx_median, tx_median = meas.get_samples()
with lock:
- settings['rx_gain'] = adapt.get_rxgain()
- settings['digital_gain'] = adapt.get_digital_gain()
results['tx_median'] = float(tx_median)
results['rx_median'] = float(rx_median)
results['state'] = 'Idle'
@@ -233,9 +238,6 @@ def engine_worker():
with lock:
results['stateprogress'] += 5
- results['summary'] = ["Captured {} samples".format(len(txframe_aligned)),
- "TX/RX median: {} / {}".format(tx_median, rx_median),
- extStat.get_bin_info()]
# Extract usable data from measurement
tx, rx, phase_diff, n_per_bin = extStat.extract(txframe_aligned, rxframe_aligned)
@@ -248,8 +250,11 @@ def engine_worker():
with lock:
results['statplot'] = "dpd/" + plot_file
results['stateprogress'] += 5
- results['summary'] += ["Extracted Statistics: TX median={} RX median={}".format(tx_median, rx_median),
- "Runs: {}/{}".format(extStat.n_meas, n_meas)]
+ results['summary'] = ["Captured {} samples".format(len(txframe_aligned)),
+ "TX/RX median: {} / {}".format(tx_median, rx_median),
+ extStat.get_bin_info(),
+ "Extracted Statistics: TX median={} RX median={}".format(tx_median, rx_median),
+ "Runs: {}/{}".format(extStat.n_meas, n_meas)]
if extStat.n_meas >= n_meas:
break
@@ -303,7 +308,7 @@ def engine_worker():
iteration = internal_data['n_runs']
internal_data['n_runs'] += 1
- answer = adapt.set_predistorter(dpddata)
+ adapt.set_predistorter(dpddata)
time.sleep(2)
@@ -314,6 +319,9 @@ def engine_worker():
dump_file = "adapt_{}.pkl".format(utctime.strftime("%s"))
adapt.dump(os.path.join(plot_path, dump_file))
+ with lock:
+ results['adapt_dumps'].append(utctime.strftime("%s"))
+
# Collect logging data
off = symbol_align.calc_offset(txframe_aligned)
tx_mer = mer.calc_mer(txframe_aligned[off:off + c.T_U], debug_name='TX')
@@ -327,7 +335,7 @@ def engine_worker():
lr = Heuristics.get_learning_rate(iteration)
- summary = [f"Set predistorter: {answer}",
+ summary = [f"Set predistorter:",
f"Signal measurements after iteration {iteration} with learning rate {lr}",
f"TX MER {tx_mer}, RX MER {rx_mer}",
"Shoulders: TX {!r}, RX {!r}".format(tx_shoulder_tuple, rx_shoulder_tuple),
@@ -338,10 +346,59 @@ def engine_worker():
results['state'] = 'Update Predistorter'
results['stateprogress'] = 100
results['summary'] = ["Signal measurements after predistortion update"] + summary
- finally:
- with lock:
- results['state'] = 'Terminated'
- results['stateprogress'] = 0
+ elif cmd.startswith("restore_dump-"):
+ _, _, dump_id = cmd.partition("-")
+ if dump_id == "defaults":
+ model.reset_coefs()
+ dpddata = model.get_dpd_data()
+ adapt.set_predistorter(dpddata)
+
+ tx_gain = adapt.get_txgain()
+ rx_gain = adapt.get_rxgain()
+ digital_gain = adapt.get_digital_gain()
+ with lock:
+ results['state'] = 'Idle'
+ results['stateprogress'] = 100
+ results['summary'] = [f"Restored DPD defaults",
+ f"Running with digital gain {digital_gain}, TX gain {tx_gain} and RX gain {rx_gain}"]
+ results['modeldata'] = repr(dpddata)
+ else:
+ dump_file = os.path.join(plot_path, f"adapt_{dump_id}.pkl")
+ try:
+ d = adapt.restore(dump_file)
+ logging.info(f"Restore: {d}")
+ model.set_dpd_data(d['dpddata'])
+ with lock:
+ results['state'] = 'Idle'
+ results['stateprogress'] = 100
+ results['summary'] = [f"Restored DPD settings from dumpfile {dump_id}",
+ f"Running with digital gain {d['digital_gain']}, TX gain {d['txgain']} and RX gain {d['rxgain']}"]
+ results['modeldata'] = repr(d["dpddata"])
+ except:
+ e = traceback.format_exc()
+ with lock:
+ results['state'] = 'Idle'
+ results['stateprogress'] = 100
+ results['summary'] = [f"Failed to restore DPD settings from dumpfile {dump_id}",
+ f"Error: {e}"]
+ except:
+ e = traceback.format_exc()
+ logging.error(e)
+ with lock:
+ results['summary'] = [f"Exception:"] + e.split("\n")
+ results['state'] = 'Autorestart pending'
+ results['stateprogress'] = 0
+
+ for i in range(5):
+ time.sleep(2)
+ with lock:
+ results['stateprogress'] += 20
+ time.sleep(2)
+ with lock:
+ dt = datetime.datetime.utcnow().isoformat()
+ results['summary'] = [f"DPD engine auto-restarted at {dt} UTC", f"After exception {e}"]
+ results['state'] = 'Idle'
+ results['stateprogress'] = 0
engine = Thread(target=engine_worker)
@@ -367,13 +424,10 @@ try:
logging.info('YAML-RPC request : {}'.format(method))
command_queue.put(method)
cmd_socket.send_success_response(addr, msg_id, None)
- elif method == 'set_setting':
- logging.info('YAML-RPC request : {} -> {}'.format(method, params))
- # params == {'setting': ..., 'value': ...}
+ elif method == 'restore_dump':
+ logging.info('YAML-RPC restore dump {}'.format(params['dump_id']))
+ command_queue.put(f"restore_dump-{params['dump_id']}")
cmd_socket.send_success_response(addr, msg_id, None)
- elif method == 'get_settings':
- with lock:
- cmd_socket.send_success_response(addr, msg_id, settings)
elif method == 'get_results':
with lock:
cmd_socket.send_success_response(addr, msg_id, results)
@@ -511,7 +565,7 @@ while i < num_iter:
# The MIT License (MIT)
#
# Copyright (c) 2017 Andreas Steger
-# Copyright (c) 2018 Matthias P. Braendli
+# Copyright (c) 2019 Matthias P. Braendli
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
diff --git a/python/gui/api.py b/python/gui/api.py
index 42c89c9..c0effde 100755
--- a/python/gui/api.py
+++ b/python/gui/api.py
@@ -1,6 +1,6 @@
# -*- coding: utf-8 -*-
#
-# Copyright (C) 2018
+# Copyright (C) 2019
# Matthias P. Braendli, matthias.braendli@mpb.li
#
# http://www.opendigitalradio.org
@@ -125,12 +125,20 @@ class API:
@cherrypy.expose
@cherrypy.tools.json_out()
- def dpd_settings(self, setting: str, value: str, **kwargs):
+ def dpd_restore_dump(self, **kwargs):
if cherrypy.request.method == 'POST':
- data = {'setting': setting, 'value': value}
- return self._wrap_dpd("set_setting", data)
+ cl = cherrypy.request.headers['Content-Length']
+ rawbody = cherrypy.request.body.read(int(cl))
+ params = json.loads(rawbody.decode())
+ if 'dump_id' in params:
+ data = {'dump_id': params['dump_id']}
+ return self._wrap_dpd("restore_dump", data)
+ else:
+ cherrypy.response.status = 400
+ return send_error("Missing dump_id")
else:
- return self._wrap_dpd("get_settings")
+ cherrypy.response.status = 400
+ return send_error("POST only")
@cherrypy.expose
@cherrypy.tools.json_out()
diff --git a/python/gui/static/js/odr-predistortion.js b/python/gui/static/js/odr-predistortion.js
index b5f29ea..4dae068 100644
--- a/python/gui/static/js/odr-predistortion.js
+++ b/python/gui/static/js/odr-predistortion.js
@@ -1,4 +1,4 @@
-// Copyright (C) 2018
+// Copyright (C) 2019
// Matthias P. Braendli, matthias.braendli@mpb.li
//
// http://www.opendigitalradio.org
@@ -18,6 +18,8 @@
// You should have received a copy of the GNU General Public License
// along with ODR-DabMod. If not, see <http://www.gnu.org/licenses/>.
+var adapt_dumps = [];
+
function resultrefresh() {
var jqxhr = doApiRequestGET("/api/dpd_results", function(data) {
var summary = "";
@@ -51,6 +53,8 @@ function resultrefresh() {
else {
$('#dpdmodelplot').attr('src', "");
}
+
+ adapt_dumps = data['adapt_dumps'];
});
jqxhr.always(function() {
@@ -58,6 +62,30 @@ function resultrefresh() {
});
}
+function adaptdumpsrefresh() {
+ $('#dpdadaptdumps').html("");
+
+ $.each(adapt_dumps, function(i, item) {
+ console.log(item);
+
+ if (isNaN(+item)) {
+ $('#dpdadaptdumps').append($('<option>', {
+ value: item,
+ text : "DPD settings from " + item,
+ }));
+ }
+ else {
+ var d = new Date(0);
+ d.setUTCSeconds(item);
+
+ $('#dpdadaptdumps').append($('<option>', {
+ value: item,
+ text : "DPD settings from " + d.toISOString(),
+ }));
+ }
+ });
+}
+
$(function(){
setTimeout(resultrefresh, 20);
@@ -86,72 +114,20 @@ $(function(){
});
});
-});
+ $('#adaptdumpsrefreshbtn').click(adaptdumpsrefresh);
-/*
-function calibraterefresh() {
- doApiRequestGET("/api/calibrate", function(data) {
- var text = "Captured TX signal and feedback." +
- " TX median: " + data['tx_median'] +
- " RX median: " + data['rx_median'] +
- " with relative timestamp offset " +
- (data['tx_ts'] - data['rx_ts']) +
- " and measured offset " + data['coarse_offset'] +
- ". Correlation: " + data['correlation'];
- $('#calibrationresults').text(text);
- });
-}
-
-$(function(){
- $('#refreshframesbtn').click(function() {
- var d = new Date();
- var n = d.getTime();
- $('#txframeimg').src = "dpd/txframe.png?cachebreak=" + n;
- $('#rxframeimg').src = "dpd/rxframe.png?cachebreak=" + n;
- });
+ $('#adaptdumpsload').click(function() {
+ var elt = document.getElementById("dpdadaptdumps");
- $('#capturebutton').click(function() {
- doApiRequestPOST("/api/trigger_capture", {}, function(data) {
- console.log("trigger_capture succeeded: " + JSON.stringify(data));
- });
- });
-
- $('#dpdstatusbutton').click(function() {
- doApiRequestGET("/api/dpd_status", function(data) {
- console.log("dpd_status succeeded: " + JSON.stringify(data));
- $('#histogram').text(data.histogram);
- $('#capturestatus').text(data.capture.status);
- $('#capturelength').text(data.capture.length);
- $('#tx_median').text(data.capture.tx_median);
- $('#rx_median').text(data.capture.rx_median);
- });
-
- $.ajax({
- type: "GET",
- url: "/api/dpd_capture_pointcloud",
-
- error: function(data) {
- if (data.status == 500) {
- var errorWindow = window.open("", "_self");
- errorWindow.document.write(data.responseText);
- }
- else {
- $.gritter.add({ title: 'API',
- text: "AJAX failed: " + data.statusText,
- image: '/fonts/warning.png',
- sticky: true,
- });
- }
- },
- success: function(data) {
- $('#dpd_pointcloud').value(data)
+ if (elt.selectedIndex != -1) {
+ var selectedoption = elt.options[elt.selectedIndex].value;
+ doApiRequestPOST("/api/dpd_restore_dump", {dump_id: selectedoption}, function(data) {
+ console.log("reset succeeded: " + JSON.stringify(data));
+ });
}
- })
});
});
-*/
-
// ToolTip init
$(function(){
diff --git a/python/gui/templates/predistortion.html b/python/gui/templates/predistortion.html
index 8682054..62e8503 100644
--- a/python/gui/templates/predistortion.html
+++ b/python/gui/templates/predistortion.html
@@ -14,7 +14,7 @@
<div class="container-fluid">
<div class="row">
- <div class="col-sm-8">
+ <div class="col-sm-4">
<h2>Current DPDCE status</h2>
<div>
<div id="dpdstatus" style="font-weight:bold;">N/A</div>
@@ -27,6 +27,21 @@
<div class="well well-sm" id="dpdresults">N/A</div>
</div>
<div class="col-sm-4">
+ <h2>List of saved DPD settings</h2>
+ <!--TODO: 'erase' and 'clear' buttons. Show DPD settings in tooltip?-->
+ <p>This list contains previously used predistortion settings that you
+ can recall.</p>
+ <p>
+ <select id="dpdadaptdumps" size="8" style="width:70%" multiple></select>
+ </p>
+ <p>
+ <button type="button" class="btn btn-sm btn-info" id="adaptdumpsrefreshbtn">Refresh
+ </button>
+ <button type="button" class="btn btn-sm btn-warning" id="adaptdumpsload">Load and Apply
+ </button>
+ </p>
+ </div>
+ <div class="col-sm-4">
<h2>Summary</h2>
<p>Calibration needs to be done once before the PA model
can be trained. Every time calibration is changed, the predistortion
@@ -36,6 +51,8 @@
runs are needed before the model can be trained.</p>
<p>The capture and model analysis will calculate a new set of
DPD model data, that you can apply using the Update Predistorter button.</p>
+ <p>The reset button allows you to reset the computation engine. It does not
+ modify the currently active predistorter.</p>
</div>
</div>
</div>
@@ -47,7 +64,7 @@
<button type="button" class="btn btn-sm btn-warning" id="adaptbtn">
Update Predistorter</button>
<button type="button" class="btn btn-sm btn-info" id="resetbtn">
- Reset captured data</button>
+ Reset Capture and Model</button>
</div>
</div>
@@ -97,7 +114,7 @@
</html>
<!--
- Copyright (C) 2018
+ Copyright (C) 2019
Matthias P. Braendli, matthias.braendli@mpb.li
This file is part of ODR-DabMod.