kopia lustrzana https://github.com/NanoVNA-Saver/nanovna-saver
401 wiersze
14 KiB
Python
401 wiersze
14 KiB
Python
# NanoVNASaver
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#
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# A python program to view and export Touchstone data from a NanoVNA
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# Copyright (C) 2019, 2020 Rune B. Broberg
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# Copyright (C) 2020 NanoVNA-Saver Authors
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#
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# This program is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program. If not, see <https://www.gnu.org/licenses/>.
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import logging
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from math import log
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from time import sleep
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from typing import Iterator, List, Tuple
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import numpy as np
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from PyQt5 import QtCore, QtWidgets
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from PyQt5.QtCore import pyqtSlot, pyqtSignal
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from NanoVNASaver.Calibration import correct_delay
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from NanoVNASaver.RFTools import Datapoint
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logger = logging.getLogger(__name__)
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def truncate(values: List[List[Tuple]], count: int) -> List[List[Tuple]]:
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"""truncate drops extrema from data list if averaging is active"""
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keep = len(values) - count
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logger.debug("Truncating from %d values to %d", len(values), keep)
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if count < 1 or keep < 1:
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logger.info("Not doing illegal truncate")
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return values
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truncated = []
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for valueset in np.swapaxes(values, 0, 1).tolist():
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avg = complex(*np.average(valueset, 0))
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truncated.append(
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sorted(valueset,
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key=lambda v, a=avg:
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abs(a - complex(*v)))[:keep])
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return np.swapaxes(truncated, 0, 1).tolist()
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class WorkerSignals(QtCore.QObject):
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updated = pyqtSignal()
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finished = pyqtSignal()
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sweepError = pyqtSignal()
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fatalSweepError = pyqtSignal()
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class Sweep():
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def __init__(self, start: int = 3600000, end: int = 30000000,
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points: int = 101, segments: int = 1,
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logarithmic: bool = False):
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self.start = start
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self.end = end
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self.points = points
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self.segments = segments
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self.logarithmic = logarithmic
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self.span = self.end - self.start
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self.step = self.stepsize()
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self.check()
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def __repr__(self) -> str:
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return (
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f"Sweep({self.start}, {self.end}, {self.points}, {self.segments},"
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f" {self.logarithmic})")
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def __eq__(self, other) -> bool:
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return(self.start == other.start and
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self.end == other.end and
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self.points == other.points and
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self.segments == other.segments)
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def check(self):
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if not(self.segments > 0 and
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self.points > 0 and
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self.start > 0 and
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self.end > 0 and
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self.stepsize() >= 1):
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raise ValueError(f"Illegal sweep settings: {self}")
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def stepsize(self) -> int:
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return round(self.span / ((self.points -1) * self.segments))
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def _exp_factor(self, index: int) -> int:
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return 1 - log(self.segments + 1 - index) / log(self.segments + 1)
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def get_index_range(self, index: int) -> Tuple[int, int]:
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if not self.logarithmic:
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start = self.start + index * self.points * self.step
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end = start + (self.points - 1) * self.step
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else:
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start = self.start + self.span * self._exp_factor(index)
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end = self.start + self.span * self._exp_factor(index + 1)
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logger.debug("get_index_range(%s) -> (%s, %s)", index, start, end)
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return (start, end)
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def get_frequencies(self) -> Iterator[int]:
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if not self.logarithmic:
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for freq in range(self.start, self.end + 1, self.step):
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yield freq
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return
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for i in range(self.segments):
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start, stop = self.get_index_range(i)
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step = (stop - start) / self.points
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freq = start
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for _ in range(self.points):
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yield round(freq)
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freq += step
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class SweepWorker(QtCore.QRunnable):
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def __init__(self, app: QtWidgets.QWidget):
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super().__init__()
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logger.info("Initializing SweepWorker")
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self.signals = WorkerSignals()
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self.app = app
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self.sweep = Sweep()
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self.setAutoDelete(False)
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self.percentage = 0
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self.data11: List[Datapoint] = []
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self.data21: List[Datapoint] = []
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self.rawData11: List[Datapoint] = []
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self.rawData21: List[Datapoint] = []
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self.init_data()
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self.stopped = False
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self.running = False
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self.continuousSweep = False
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self.averaging = False
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self.averages = 3
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self.truncates = 0
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self.error_message = ""
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self.offsetDelay = 0
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@pyqtSlot()
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def run(self):
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try:
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self._run()
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except BaseException as exc: # pylint: disable=broad-except
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logger.exception("%s", exc)
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self.gui_error(f"ERROR during sweep\n\nStopped\n\n{exc}")
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return
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# raise exc
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def _run(self):
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logger.info("Initializing SweepWorker")
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self.running = True
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self.percentage = 0
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if not self.app.vna.connected():
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logger.debug(
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"Attempted to run without being connected to the NanoVNA")
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self.running = False
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return
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try:
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sweep = Sweep(
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self.app.sweep_control.get_start(),
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self.app.sweep_control.get_end(),
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self.app.vna.datapoints,
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self.app.sweep_control.get_segments(),
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)
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except ValueError:
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self.gui_error(
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"Unable to parse frequency inputs"
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" - check start and stop fields.")
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return
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averages = 1
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if self.averaging:
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logger.info("%d averages", self.averages)
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averages = self.averages
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if sweep != self.sweep: # parameters changed
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self.sweep = sweep
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self.init_data()
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finished = False
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while not finished:
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for i in range(self.sweep.segments):
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logger.debug("Sweep segment no %d", i)
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if self.stopped:
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logger.debug("Stopping sweeping as signalled")
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finished = True
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break
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start, stop = self.sweep.get_index_range(i)
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try:
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freq, values11, values21 = self.readAveragedSegment(
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start, stop, averages)
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self.percentage = (i + 1) * 100 / self.sweep.segments
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self.updateData(freq, values11, values21, i)
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except ValueError as e:
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self.error_message = str(e)
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self.stopped = True
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self.running = False
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self.signals.sweepError.emit()
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if not self.continuousSweep:
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finished = True
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if self.sweep.segments > 1:
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start = self.app.sweep_control.get_start()
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end = self.app.sweep_control.get_end()
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logger.debug("Resetting NanoVNA sweep to full range: %d to %d",
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start, end)
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self.app.vna.resetSweep(start, end)
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self.percentage = 100
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logger.debug('Sending "finished" signal')
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self.signals.finished.emit()
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self.running = False
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def init_data(self):
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self.data11 = []
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self.data21 = []
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self.rawData11 = []
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self.rawData21 = []
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for freq in self.sweep.get_frequencies():
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self.data11.append(Datapoint(freq, 0.0, 0.0))
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self.data21.append(Datapoint(freq, 0.0, 0.0))
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self.rawData11.append(Datapoint(freq, 0.0, 0.0))
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self.rawData21.append(Datapoint(freq, 0.0, 0.0))
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logger.debug("Init data length: %s", len(self.data11))
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def updateData(self, frequencies, values11, values21, index):
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# Update the data from (i*101) to (i+1)*101
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logger.debug(
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"Calculating data and inserting in existing data at index %d",
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index)
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offset = self.sweep.points * index
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v11 = values11[:]
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v21 = values21[:]
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raw_data11 = []
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raw_data21 = []
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for freq in frequencies:
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real11, imag11 = v11.pop(0)
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real21, imag21 = v21.pop(0)
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raw_data11.append(Datapoint(freq, real11, imag11))
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raw_data21.append(Datapoint(freq, real21, imag21))
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data11, data21 = self.applyCalibration(raw_data11, raw_data21)
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logger.debug("update Freqs: %s, Offset: %s", len(frequencies), offset)
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for i in range(len(frequencies)):
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self.data11[offset + i] = data11[i]
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self.data21[offset + i] = data21[i]
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self.rawData11[offset + i] = raw_data11[i]
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self.rawData21[offset + i] = raw_data21[i]
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logger.debug("Saving data to application (%d and %d points)",
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len(self.data11), len(self.data21))
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self.app.saveData(self.data11, self.data21)
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logger.debug('Sending "updated" signal')
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self.signals.updated.emit()
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def applyCalibration(self,
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raw_data11: List[Datapoint],
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raw_data21: List[Datapoint]
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) -> Tuple[List[Datapoint], List[Datapoint]]:
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if self.offsetDelay != 0:
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tmp = []
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for dp in raw_data11:
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tmp.append(correct_delay(dp, self.offsetDelay, reflect=True))
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raw_data11 = tmp
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tmp = []
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for dp in raw_data21:
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tmp.append(correct_delay(dp, self.offsetDelay))
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raw_data21 = tmp
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if not self.app.calibration.isCalculated:
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return raw_data11, raw_data21
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data11: List[Datapoint] = []
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data21: List[Datapoint] = []
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if self.app.calibration.isValid1Port():
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for dp in raw_data11:
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data11.append(self.app.calibration.correct11(dp))
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else:
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data11 = raw_data11
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if self.app.calibration.isValid2Port():
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for dp in raw_data21:
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data21.append(self.app.calibration.correct21(dp))
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else:
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data21 = raw_data21
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return data11, data21
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def readAveragedSegment(self, start, stop, averages=1):
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values11 = []
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values21 = []
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freq = []
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logger.info("Reading from %d to %d. Averaging %d values",
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start, stop, averages)
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for i in range(averages):
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if self.stopped:
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logger.debug("Stopping averaging as signalled")
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break
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logger.debug("Reading average no %d / %d", i+1, averages)
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freq, tmp11, tmp21 = self.readSegment(start, stop)
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values11.append(tmp11)
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values21.append(tmp21)
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self.percentage += 100 / (self.sweep.segments * averages)
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self.signals.updated.emit()
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if self.truncates and averages > 1:
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logger.debug("Truncating %d values by %d",
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len(values11), self.truncates)
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values11 = truncate(values11, self.truncates)
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values21 = truncate(values21, self.truncates)
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logger.debug("Averaging %d values", len(values11))
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values11 = np.average(values11, 0).tolist()
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values21 = np.average(values21, 0).tolist()
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return freq, values11, values21
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def readSegment(self, start, stop):
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logger.debug("Setting sweep range to %d to %d", start, stop)
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self.app.vna.setSweep(start, stop)
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frequencies = self.app.vna.readFrequencies()
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values11 = self.readData("data 0")
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values21 = self.readData("data 1")
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if (len(frequencies) != len(values11) or
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len(frequencies) != len(values21)):
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logger.info("No valid data during this run")
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return [], [], []
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return frequencies, values11, values21
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def readData(self, data):
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logger.debug("Reading %s", data)
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done = False
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returndata = []
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count = 0
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while not done:
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done = True
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returndata = []
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tmpdata = self.app.vna.readValues(data)
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logger.debug("Read %d values", len(tmpdata))
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for d in tmpdata:
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a, b = d.split(" ")
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try:
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if self.app.vna.validateInput and (
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abs(float(a)) > 9.5 or
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abs(float(b)) > 9.5):
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logger.warning(
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"Got a non plausible data value: (%s)", d)
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done = False
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break
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returndata.append((float(a), float(b)))
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except ValueError as exc:
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logger.exception("An exception occurred reading %s: %s",
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data, exc)
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done = False
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if not done:
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logger.debug("Re-reading %s", data)
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sleep(0.2)
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count += 1
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if count == 5:
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logger.error("Tried and failed to read %s %d times.",
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data, count)
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logger.debug("trying to reconnect")
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self.app.vna.reconnect()
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if count >= 10:
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logger.critical(
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"Tried and failed to read %s %d times. Giving up.",
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data, count)
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raise IOError(
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f"Failed reading {data} {count} times.\n"
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f"Data outside expected valid ranges,"
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f" or in an unexpected format.\n\n"
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f"You can disable data validation on the"
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f"device settings screen.")
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return returndata
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def setContinuousSweep(self, continuous_sweep: bool):
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self.continuousSweep = continuous_sweep
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def setAveraging(self, averaging: bool, averages: str, truncates: str):
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self.averaging = averaging
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try:
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self.averages = int(averages)
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self.truncates = int(truncates)
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except ValueError:
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return
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def gui_error(self, message: str):
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self.error_message = message
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self.stopped = True
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self.running = False
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self.signals.sweepError.emit()
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