diff options
Diffstat (limited to 'python')
| -rw-r--r-- | python/dpd/ExtractStatistic.py | 17 | ||||
| -rw-r--r-- | python/dpd/GlobalConfig.py | 2 | ||||
| -rwxr-xr-x | python/dpdce.py | 100 | ||||
| -rw-r--r-- | python/gui-dpdce.ini | 5 | ||||
| -rw-r--r-- | python/gui/static/js/odr-predistortion.js | 17 | ||||
| -rw-r--r-- | python/gui/templates/predistortion.html | 31 |
6 files changed, 134 insertions, 38 deletions
diff --git a/python/dpd/ExtractStatistic.py b/python/dpd/ExtractStatistic.py index 639513a..1aa4391 100644 --- a/python/dpd/ExtractStatistic.py +++ b/python/dpd/ExtractStatistic.py @@ -41,6 +41,8 @@ class ExtractStatistic: def __init__(self, c): self.c = c + self._plot_data = None + # Number of measurements used to extract the statistic self.n_meas = 0 @@ -58,12 +60,10 @@ class ExtractStatistic: for i in range(c.ES_n_bins): self.tx_values_lists.append([]) - self.plot = c.ES_plot + def plot(self, plot_path, title): + if self._plot_data is not None: + tx_values, rx_values, phase_diffs_values, phase_diffs_values_lists = self._plot_data - def _plot_and_log(self, tx_values, rx_values, phase_diffs_values, phase_diffs_values_lists): - if self.plot and self.c.plot_location is not None: - dt = datetime.datetime.now().isoformat() - fig_path = self.c.plot_location + "/" + dt + "_ExtractStatistic.png" sub_rows = 3 sub_cols = 1 fig = plt.figure(figsize=(sub_cols * 6, sub_rows / 2. * 6)) @@ -80,7 +80,7 @@ class ExtractStatistic: np.abs(rx_values_list), s=0.1, color="black") - ax.set_title("Extracted Statistic") + ax.set_title("Extracted Statistic {}".format(title)) ax.set_xlabel("TX Amplitude") ax.set_ylabel("RX Amplitude") ax.set_ylim(0, 0.8) @@ -116,7 +116,7 @@ class ExtractStatistic: ax.set_ylim(0, self.n_per_bin * 1.2) fig.tight_layout() - fig.savefig(fig_path) + fig.savefig(plot_path) plt.close(fig) def _rx_value_per_bin(self): @@ -166,7 +166,7 @@ class ExtractStatistic: phase_diffs_values_lists = self._phase_diff_list_per_bin() phase_diffs_values = _phase_diff_value_per_bin(phase_diffs_values_lists) - self._plot_and_log(tx_values, rx_values, phase_diffs_values, phase_diffs_values_lists) + self._plot_data = (tx_values, rx_values, phase_diffs_values, phase_diffs_values_lists) tx_values_crop = np.array(tx_values, dtype=np.float32)[:idx_end] rx_values_crop = np.array(rx_values, dtype=np.float32)[:idx_end] @@ -176,6 +176,7 @@ class ExtractStatistic: # The MIT License (MIT) # # Copyright (c) 2017 Andreas Steger +# Copyright (c) 2018 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/dpd/GlobalConfig.py b/python/dpd/GlobalConfig.py index 873b6ac..99280f2 100644 --- a/python/dpd/GlobalConfig.py +++ b/python/dpd/GlobalConfig.py @@ -10,7 +10,7 @@ import numpy as np class GlobalConfig: - def __init__(self, samplerate, plot_location: str): + def __init__(self, samplerate: int, plot_location: str): self.sample_rate = samplerate assert self.sample_rate == 8192000, "We only support constants for 8192000 sample rate: {}".format(self.sample_rate) diff --git a/python/dpdce.py b/python/dpdce.py index 379f3d0..a9ed140 100755 --- a/python/dpdce.py +++ b/python/dpdce.py @@ -43,7 +43,8 @@ rc_port = config.getint('rc_port') samplerate = config.getint('samplerate') samps = config.getint('samps') coef_file = config['coef_file'] -log_folder = config['log_folder'] +logs_directory = config['logs_directory'] +plot_directory = config['plot_directory'] import logging import datetime @@ -52,7 +53,7 @@ save_logs = False # Simple usage scenarios don't need to clutter /tmp if save_logs: - dt = datetime.datetime.now().isoformat() + dt = datetime.datetime.utcnow().isoformat() logging_path = '/tmp/dpd_{}'.format(dt).replace('.', '_').replace(':', '-') print("Logs and plots written to {}".format(logging_path)) os.makedirs(logging_path) @@ -71,7 +72,7 @@ if save_logs: # add the handler to the root logger logging.getLogger('').addHandler(console) else: - dt = datetime.datetime.now().isoformat() + dt = datetime.datetime.utcnow().isoformat() logging.basicConfig(format='%(asctime)s - %(module)s - %(levelname)s - %(message)s', datefmt='%Y-%m-%d %H:%M:%S', level=logging.INFO) @@ -83,6 +84,7 @@ import socket from lib import yamlrpc import numpy as np import traceback +import os.path from threading import Thread, Lock from queue import Queue from dpd.Model import Poly @@ -96,13 +98,14 @@ from dpd.GlobalConfig import GlobalConfig from dpd.MER import MER from dpd.Measure_Shoulders import Measure_Shoulders -c = GlobalConfig(samplerate, logging_path) +plot_path = os.path.realpath(plot_directory) + +c = GlobalConfig(samplerate, plot_path) symbol_align = Symbol_align(c) mer = MER(c) meas_shoulders = Measure_Shoulders(c) meas = Measure(c, samplerate, dpd_port, samps) -extStat = ExtractStatistic(c) -adapt = Adapt(rc_port, coef_file, logging_path) +adapt = Adapt(rc_port, coef_file, plot_path) model = Poly(c) @@ -134,7 +137,11 @@ settings = { 'digital_gain': digital_gain, 'dpddata': dpddata, } +internal_data = { + 'n_runs': 0, + } results = { + 'statplot': None, 'tx_median': 0, 'rx_median': 0, 'state': 'Idle', @@ -148,6 +155,7 @@ command_queue = Queue(maxsize=1) agc = Agc(meas, adapt, c) def engine_worker(): + extStat = ExtractStatistic(c) try: while True: cmd = command_queue.get() @@ -180,8 +188,86 @@ def engine_worker(): results['tx_median'] = float(tx_median) results['rx_median'] = float(rx_median) results['state'] = 'Idle' - results['stateprogress'] = 0 + results['stateprogress'] = 100 results['summary'] = ["Calibration was done:"] + summary + elif cmd == "reset": + with lock: + internal_data['n_runs'] = 0 + results['state'] = 'Idle' + results['stateprogress'] = 0 + results['summary'] = ["Reset"] + extStat = ExtractStatistic(c) + elif cmd == "trigger_run": + with lock: + results['state'] = 'Capture + Model' + results['stateprogress'] = 0 + n_runs = internal_data['n_runs'] + + # Get Samples and check gain + txframe_aligned, tx_ts, rxframe_aligned, rx_ts, rx_median, tx_median = meas.get_samples() + # TODO Check TX median + + with lock: + results['stateprogress'] = 20 + results['summary'] = ["Captured {} samples".format(len(txframe_aligned)), + "TX/RX median: {} / {}".format(tx_median, rx_median)] + + # Extract usable data from measurement + tx, rx, phase_diff, n_per_bin = extStat.extract(txframe_aligned, rxframe_aligned) + + time = datetime.datetime.utcnow() + + plot_file = "stats_{}.png".format(time.strftime("%s")) + extStat.plot(os.path.join(plot_path, plot_file), time.strftime("%Y-%m-%dT%H%M%S")) + + with lock: + results['statplot'] = "dpd/" + plot_file + results['stateprogress'] = 30 + results['summary'] += ["Extracted Statistics".format(tx_median, rx_median)] + + n_meas = Heuristics.get_n_meas(n_runs) + if extStat.n_meas >= n_meas: # Use as many measurements nr of runs + if any(x is None for x in [tx, rx, phase_diff]): + with lock: + results['summary'] += ["Error! No data to calculate model"] + results['state'] = 'Idle' + results['stateprogress'] = 0 + else: + with lock: + results['state'] = 'Capture + Model' + results['stateprogress'] = 40 + results['summary'] += ["Training model"] + + model.train(tx, rx, phase_diff, lr=Heuristics.get_learning_rate(n_runs)) + + with lock: + results['state'] = 'Capture + Model' + results['stateprogress'] = 60 + results['summary'] += ["Getting DPD data"] + + dpddata = model.get_dpd_data() + with lock: + internal_data['dpddata'] = dpddata + internal_data['n_runs'] = 0 + + results['state'] = 'Capture + Model' + results['stateprogress'] = 80 + results['summary'] += ["Reset statistics"] + + extStat = ExtractStatistic(c) + + with lock: + results['state'] = 'Idle' + results['stateprogress'] = 100 + results['summary'] += ["New DPD coefficients calculated"] + + with lock: + internal_data['n_runs'] += 1 + else: + with lock: + results['state'] = 'Idle' + results['stateprogress'] = 100 + results['summary'] += ["More data required to train model"] finally: with lock: diff --git a/python/gui-dpdce.ini b/python/gui-dpdce.ini index 48c6abf..4385c80 100644 --- a/python/gui-dpdce.ini +++ b/python/gui-dpdce.ini @@ -19,7 +19,10 @@ samps=81920 coef_file=poly.coef # Write logs to this folder, or leave empty for no logs -log_folder= +logs_directory= + +# Saving plots to the static directory makes them accessible to the browser +plot_directory=gui/static/dpd [gui] diff --git a/python/gui/static/js/odr-predistortion.js b/python/gui/static/js/odr-predistortion.js index 739e0ee..e9f7c96 100644 --- a/python/gui/static/js/odr-predistortion.js +++ b/python/gui/static/js/odr-predistortion.js @@ -35,6 +35,10 @@ function resultrefresh() { } $('#dpdprogress').css('width', percentage + '%'); $('#dpdprogresstext').text(percentage + '%'); + + if (data['statplot']) { + $('#dpdcapturestats').attr('src', data['statplot']); + } }); jqxhr.always(function() { @@ -43,7 +47,7 @@ function resultrefresh() { } $(function(){ - setTimeout(resultrefresh, 2000); + setTimeout(resultrefresh, 20); $('#calibratebtn').click(function() { doApiRequestPOST("/api/dpd_calibrate", {}, function(data) { @@ -51,6 +55,17 @@ $(function(){ }); }); + $('#resetbtn').click(function() { + doApiRequestPOST("/api/dpd_reset", {}, function(data) { + console.log("reset succeeded: " + JSON.stringify(data)); + }); + }); + + $('#triggerbtn').click(function() { + doApiRequestPOST("/api/dpd_trigger_run", {}, function(data) { + console.log("run succeeded: " + JSON.stringify(data)); + }); + }); }); /* diff --git a/python/gui/templates/predistortion.html b/python/gui/templates/predistortion.html index edb2f04..adbba7e 100644 --- a/python/gui/templates/predistortion.html +++ b/python/gui/templates/predistortion.html @@ -26,35 +26,26 @@ <div>Calibration needs to be done once before the PA model can be trained. Every time calibration is changed, the predistortion parameters are invalidated!</div> + <div>Once calibration succeeded and correct RX gain is set, you + can trigger a capture and model the PA. Usually, several capture + runs are needed before the model can be trained.</div> <button type="button" class="btn btn-sm btn-warning" id="calibratebtn"> Calibrate</button> - </div> - </div> - <!-- - <div class="panel panel-default"> - <div class="panel-heading">Capture TX and RX frames</div> - <div class="panel-body"> - <div> - <img id="txframeimg" src="dpd/txframe.png" width="320" height="240" /> - <img id="rxframeimg" src="dpd/rxframe.png" width="320" height="240" /> - </div> - <div> - <button type="button" class="btn btn-sm btn-info" id="refreshframesbtn"> - Refresh</button> - </div> + <button type="button" class="btn btn-sm btn-warning" id="triggerbtn"> + Trigger Capture and PA Modeling</button> + <button type="button" class="btn btn-sm btn-info" id="resetbtn"> + Reset captured data</button> </div> </div> <div class="panel panel-default"> - <div class="panel-heading">Capture</div> + <div class="panel-heading">Capture Statistics</div> <div class="panel-body"> - <div>On pressing this button, - the DPDCE will trigger a capture and a quick data - analysis, without updating any DPD models.</div> - <button type="button" class="btn btn-sm btn-info" id="capturebutton"> - Capture</button> + <img id="dpdcapturestats" /> </div> </div> + + <!-- <div class="panel panel-default"> <div class="panel-heading">Status</div> <div class="panel-body"> |