#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Arduino lock-in amplifier
"""
__author__ = "<NAME>"
__authoremail__ = "<EMAIL>"
__url__ = "https://github.com/Dennis-van-Gils/DvG_Arduino_lock-in_amp"
__date__ = "31-08-2021"
__version__ = "2.0.0"
# pylint: disable=invalid-name

import os
import sys

import time as Time
import psutil

from PyQt5 import QtCore
from PyQt5 import QtWidgets as QtWid
from PyQt5.QtCore import QDateTime
import numpy as np

from dvg_pyqt_filelogger import FileLogger
from dvg_debug_functions import dprint
from dvg_fftw_welchpowerspectrum import FFTW_WelchPowerSpectrum

from Alia_protocol_serial import Alia, Waveform
from Alia_qdev import Alia_qdev
from Alia_gui import MainWindow

# Show debug info in terminal? Warning: Slow! Do not leave on unintentionally.
DEBUG = False
DEBUG_TIMING = False

# Enable GPU-accelerated computations on an NVIDIA videocard with CUDA support?
# Affects the FIR filters.
USE_CUDA = False


# ------------------------------------------------------------------------------
#   current_date_time_strings
# ------------------------------------------------------------------------------


def current_date_time_strings():
    cur_date_time = QDateTime.currentDateTime()
    return (
        cur_date_time.toString("dd-MM-yyyy"),
        cur_date_time.toString("HH:mm:ss"),
    )


# ------------------------------------------------------------------------------
#   Program termination routines
# ------------------------------------------------------------------------------


def stop_running():
    app.processEvents()
    alia_qdev.turn_off()
    alia_qdev.quit()
    logger.close()


@QtCore.pyqtSlot()
def notify_connection_lost():
    stop_running()

    excl = "    ! ! ! ! ! ! ! !    "
    window.qlbl_title.setText("%sLOST CONNECTION%s" % (excl, excl))

    str_cur_date, str_cur_time = current_date_time_strings()
    str_msg = "%s %s\nLost connection to Arduino on port %s.\n" % (
        str_cur_date,
        str_cur_time,
        alia.ser.portstr,
    )
    print("\nCRITICAL ERROR @ %s" % str_msg)
    reply = QtWid.QMessageBox.warning(
        window, "CRITICAL ERROR", str_msg, QtWid.QMessageBox.Ok
    )

    if reply == QtWid.QMessageBox.Ok:
        pass  # Leave the GUI open for read-only inspection by the user


@QtCore.pyqtSlot()
def about_to_quit():
    print("\nAbout to quit")
    stop_running()
    alia.close()


# ------------------------------------------------------------------------------
#   Lock-in amplifier data-acquisition update function
# ------------------------------------------------------------------------------


def lockin_DAQ_update():
    """Listen for new data blocks send by the lock-in amplifier and perform the
    main mathematical operations for signal processing. This function will run
    in a dedicated thread (i.e. `worker_DAQ`), separated from the main program
    thread that handles the GUI.
    NOTE: NO GUI OPERATIONS ARE ALLOWED HERE. Otherwise it may affect the
    `worker_DAQ` thread negatively, resulting in lost blocks of data.
    """
    # Shorthands
    c: Alia.Config = alia.config
    state: Alia_qdev.State = alia_qdev.state

    # Prevent throwings errors if just paused
    if alia.lockin_paused:
        return False

    if DEBUG_TIMING:
        tock = Time.perf_counter()
        print("%.2f _DAQ" % (tock - alia.tick))
        alia.tick = tock

    # Listen for data buffers send by the lock-in
    (
        success,
        _counter,
        state.time,
        state.ref_X,
        state.ref_Y,
        state.sig_I,
    ) = alia.listen_to_lockin_amp()

    if not success:
        dprint("@ %s %s" % current_date_time_strings())
        return False

    # Detect dropped blocks
    # ---------------------
    # TODO: Rethink this procedure. Might be easier done with the index of the
    # block that also gets send by the Arduino. We either receive a full block,
    # or we don't. There are no partial blocks that can be received.

    alia_qdev.state.blocks_received += 1
    last_time = state.rb_time[-1] if state.blocks_received > 1 else np.nan
    dT = (state.time[0] - last_time) / 1e6  # [usec] to [sec]

    if dT > c.SAMPLING_PERIOD * 1e6 * 1.10:  # Allow a little clock jitter
        N_dropped_samples = int(round(dT / c.SAMPLING_PERIOD) - 1)
        dprint("Dropped samples: %i" % N_dropped_samples)
        dprint("@ %s %s" % current_date_time_strings())

        # Replace dropped samples with np.nan samples.
        # As a result, the filter output will contain a continuous series of
        # np.nan values in the output for up to `RingBuffer_FIR_Filter.
        # T_settle_filter` seconds long after the occurrence of the last dropped
        # sample.
        state.rb_time.extend(
            last_time
            + np.arange(1, N_dropped_samples + 1) * c.SAMPLING_PERIOD * 1e6
        )
        state.rb_ref_X.extend(np.full(N_dropped_samples, np.nan))
        state.rb_ref_Y.extend(np.full(N_dropped_samples, np.nan))
        state.rb_sig_I.extend(np.full(N_dropped_samples, np.nan))

    # Stage 0
    # -------

    state.sig_I_min = np.min(state.sig_I)
    state.sig_I_max = np.max(state.sig_I)
    state.sig_I_avg = np.mean(state.sig_I)
    state.sig_I_std = np.std(state.sig_I)

    state.rb_time.extend(state.time)
    state.rb_ref_X.extend(state.ref_X)
    state.rb_ref_Y.extend(state.ref_Y)
    state.rb_sig_I.extend(state.sig_I)

    # Note: `ref_X` [non-dim] is transformed to `ref_X*` [V]
    # Note: `ref_Y` [non-dim] is transformed to `ref_Y*` [V]
    window.hcc_ref_X.extendData(
        state.time, np.multiply(state.ref_X, c.ref_V_ampl_RMS) + c.ref_V_offset
    )
    window.hcc_ref_Y.extendData(
        state.time, np.multiply(state.ref_Y, c.ref_V_ampl_RMS) + c.ref_V_offset
    )
    window.hcc_sig_I.extendData(state.time, state.sig_I)

    # Stage 1
    # -------
    # fmt: off

    # Apply filter 1 to sig_I
    state.filt_I = alia_qdev.firf_1_sig_I.apply_filter(state.rb_sig_I)

    if alia_qdev.firf_1_sig_I.filter_has_settled:
        # Retrieve the block of original data from the past that aligns with
        # the current filter output
        valid_slice = alia_qdev.firf_1_sig_I.rb_valid_slice

        state.time_1 = state.rb_time [valid_slice]
        old_sig_I    = state.rb_sig_I[valid_slice]
        old_ref_X    = state.rb_ref_X[valid_slice]
        old_ref_Y    = state.rb_ref_Y[valid_slice]

        # Heterodyne mixing
        np.multiply(state.filt_I, old_ref_X, out=state.mix_X)
        np.multiply(state.filt_I, old_ref_Y, out=state.mix_Y)
    else:
        state.time_1.fill(np.nan)
        old_sig_I = np.full(c.BLOCK_SIZE, np.nan)
        state.mix_X.fill(np.nan)
        state.mix_Y.fill(np.nan)

    state.filt_I_min = np.min(state.filt_I)
    state.filt_I_max = np.max(state.filt_I)
    state.filt_I_avg = np.mean(state.filt_I)
    state.filt_I_std = np.std(state.filt_I)

    state.rb_time_1.extend(state.time_1)
    state.rb_filt_I.extend(state.filt_I)
    state.rb_mix_X .extend(state.mix_X)
    state.rb_mix_Y .extend(state.mix_Y)

    window.hcc_filt_1_in .extendData(state.time_1, old_sig_I)
    window.hcc_filt_1_out.extendData(state.time_1, state.filt_I)
    window.hcc_mix_X     .extendData(state.time_1, state.mix_X)
    window.hcc_mix_Y     .extendData(state.time_1, state.mix_Y)
    # fmt: on

    # Stage 2
    # -------

    # Apply filter 2 to the mixer output
    state.X = alia_qdev.firf_2_mix_X.apply_filter(state.rb_mix_X)
    state.Y = alia_qdev.firf_2_mix_Y.apply_filter(state.rb_mix_Y)

    if alia_qdev.firf_2_mix_X.filter_has_settled:
        # Retrieve the block of time data from the past that aligns with
        # the current filter output
        valid_slice = alia_qdev.firf_1_sig_I.rb_valid_slice
        state.time_2 = state.rb_time_1[valid_slice]

        # Signal amplitude: R
        np.sqrt(np.add(np.square(state.X), np.square(state.Y)), out=state.R)

        # Signal phase: Theta
        np.arctan2(state.Y, state.X, out=state.T)
        np.multiply(state.T, 180 / np.pi, out=state.T)  # [rad] to [deg]
    else:
        state.time_2.fill(np.nan)
        state.R.fill(np.nan)
        state.T.fill(np.nan)

    state.X_avg = np.mean(state.X)
    state.Y_avg = np.mean(state.Y)
    state.R_avg = np.mean(state.R)
    state.T_avg = np.mean(state.T)

    state.rb_time_2.extend(state.time_2)
    state.rb_X.extend(state.X)
    state.rb_Y.extend(state.Y)
    state.rb_R.extend(state.R)
    state.rb_T.extend(state.T)

    window.hcc_LIA_XR.extendData(
        state.time_2, state.X if window.qrbt_XR_X.isChecked() else state.R
    )
    window.hcc_LIA_YT.extendData(
        state.time_2, state.Y if window.qrbt_YT_Y.isChecked() else state.T
    )

    # Check if memory address of underlying buffer is still unchanged
    # pylint: disable=pointless-string-statement
    """
    test = np.asarray(state.rb_X)
    print("%6i, mem: %i, cont?: %i, rb buf mem: %i, full? %i" % (
            state.blocks_received,
            test.__array_interface__['data'][0],
            test.flags['C_CONTIGUOUS'],
            state.rb_X._unwrap_buffer.__array_interface__['data'][0],
            state.rb_X.is_full))
    """

    # Power spectra
    # -------------

    calculate_PS_sig_I()
    calculate_PS_filt_I()
    calculate_PS_mix_X()
    calculate_PS_mix_Y()
    calculate_PS_R()

    # Logging to file
    logger.update(mode="w")

    # Return success
    return True


# ------------------------------------------------------------------------------
#   Log functions
# ------------------------------------------------------------------------------


def write_header_to_log():
    header = (
        "\t".join(
            (
                "time[s]",
                "ref_X*[V]",
                "ref_Y*[V]",
                "sig_I[V]",
                "filt_I[V]",
                "mix_X[V]",
                "mix_Y[V]",
                "X[V]",
                "Y[V]",
                "R[V]",
                "T[deg]",
            )
        )
        + "\n"
    )
    logger.write(header)


def write_data_to_log():
    if alia_qdev.firf_2_mix_X.filter_has_settled:
        # All filters have settled --> green light
        c = alia.config
        N = c.BLOCK_SIZE
        state = alia_qdev.state
        idx_offset = alia_qdev.firf_1_sig_I.rb_valid_slice.start

        # tick = Time.perf_counter()
        # Note: `ref_X` [non-dim] is transformed to `ref_X*` [V]
        # Note: `ref_Y` [non-dim] is transformed to `ref_Y*` [V]
        data = np.asmatrix(
            [
                state.rb_time[:N] / 1e6,
                np.multiply(state.rb_ref_X[:N], c.ref_V_ampl_RMS)
                + c.ref_V_offset,
                np.multiply(state.rb_ref_Y[:N], c.ref_V_ampl_RMS)
                + c.ref_V_offset,
                state.rb_sig_I[:N],
                state.rb_filt_I[idx_offset : idx_offset + N],
                state.rb_mix_X[idx_offset : idx_offset + N],
                state.rb_mix_Y[idx_offset : idx_offset + N],
                state.X[:N],
                state.Y[:N],
                state.R[:N],
                state.T[:N],
                # For debugging:
                # state.rb_time_1[idx_offset : idx_offset + N] / 1e6,
                # state.time_2[:N] / 1e6,
            ]
        )
        data = np.ma.transpose(data)
        # tock = Time.perf_counter()
        # print("%.4f" % (tock - tick), end=", ")  # ~ 0.0001 s
        logger.np_savetxt(data, fmt="%.5f", delimiter="\t")
        # print("%.4f" % (Time.perf_counter() - tock))  # ~0.01 s


# ------------------------------------------------------------------------------
#   Main
# ------------------------------------------------------------------------------

if __name__ == "__main__":
    # Set priority of this process to maximum in the operating system
    print("PID: %s" % os.getpid())
    try:
        proc = psutil.Process(os.getpid())
        if os.name == "nt":
            proc.nice(psutil.HIGH_PRIORITY_CLASS)  # Windows
        else:
            proc.nice(-20)  # Other
    except:  # pylint: disable=bare-except
        print("Warning: Could not set process to high priority.")

    # --------------------------------------------------------------------------
    #   Arduino
    # --------------------------------------------------------------------------

    # Connect to Arduino
    alia = Alia(read_timeout=4)
    alia.auto_connect()

    if not alia.is_alive:
        print("\nCheck connection and try resetting the Arduino.")
        print("Exiting...\n")
        sys.exit(0)

    if DEBUG_TIMING:
        alia.tick = Time.perf_counter()

    alia.begin(
        waveform=Waveform.Sine,
        freq=250,
        V_offset=1.65,
        V_ampl_RMS=0.5,
    )

    # Create workers and threads
    alia_qdev = Alia_qdev(
        dev=alia,
        DAQ_function=lockin_DAQ_update,
        N_blocks=21,
        critical_not_alive_count=3,
        use_CUDA=USE_CUDA,
        debug=DEBUG,
    )
    alia_qdev.signal_connection_lost.connect(notify_connection_lost)

    # --------------------------------------------------------------------------
    #   Create application and main window
    # --------------------------------------------------------------------------
    QtCore.QThread.currentThread().setObjectName("MAIN")  # For DEBUG info

    app = 0  # Work-around for kernel crash when using Spyder IDE
    app = QtWid.QApplication(sys.argv)
    app.aboutToQuit.connect(about_to_quit)

    window = MainWindow(alia, alia_qdev)

    # --------------------------------------------------------------------------
    #   File logger
    # --------------------------------------------------------------------------

    logger = FileLogger(
        write_header_function=write_header_to_log,
        write_data_function=write_data_to_log,
    )
    logger.signal_recording_started.connect(
        lambda filepath: window.qpbt_record.setText(
            "Recording to file: %s" % filepath
        )
    )
    logger.signal_recording_stopped.connect(
        lambda: window.qpbt_record.setText("Click to start recording to file")
    )

    window.qpbt_record.clicked.connect(
        lambda state: logger.record(state)  # pylint: disable=unnecessary-lambda
    )

    # --------------------------------------------------------------------------
    #   Create power spectrum FFTW objects
    # --------------------------------------------------------------------------

    p = {
        "len_data": alia_qdev.state.rb_capacity,
        "fs": alia.config.Fs,
        "nperseg": alia.config.Fs,
    }
    # fmt: off
    alia_qdev.fftw_PS_sig_I  = FFTW_WelchPowerSpectrum(**p)
    alia_qdev.fftw_PS_filt_I = FFTW_WelchPowerSpectrum(**p)
    alia_qdev.fftw_PS_mix_X  = FFTW_WelchPowerSpectrum(**p)
    alia_qdev.fftw_PS_mix_Y  = FFTW_WelchPowerSpectrum(**p)
    alia_qdev.fftw_PS_R      = FFTW_WelchPowerSpectrum(**p)
    # fmt: on

    # Only calculate the power spectrum when the curve is visible. Calculating
    # spectra is CPU intensive and might impact the responsiveness of the GUI
    # or, in the extreme case, cause dropped blocks of data.

    def calculate_PS_sig_I():
        state = alia_qdev.state
        if window.pc_PS_sig_I.isVisible() and state.rb_sig_I.is_full:
            window.pc_PS_sig_I.setData(
                alia_qdev.fftw_PS_sig_I.freqs,
                alia_qdev.fftw_PS_sig_I.compute_spectrum_dB(state.rb_sig_I),
            )

    def calculate_PS_filt_I():
        state = alia_qdev.state
        if window.pc_PS_filt_I.isVisible() and state.rb_filt_I.is_full:
            window.pc_PS_filt_I.setData(
                alia_qdev.fftw_PS_filt_I.freqs,
                alia_qdev.fftw_PS_filt_I.compute_spectrum_dB(state.rb_filt_I),
            )

    def calculate_PS_mix_X():
        state = alia_qdev.state
        if window.pc_PS_mix_X.isVisible() and state.rb_mix_X.is_full:
            window.pc_PS_mix_X.setData(
                alia_qdev.fftw_PS_mix_X.freqs,
                alia_qdev.fftw_PS_mix_X.compute_spectrum_dB(state.rb_mix_X),
            )

    def calculate_PS_mix_Y():
        state = alia_qdev.state
        if window.pc_PS_mix_Y.isVisible() and state.rb_mix_Y.is_full:
            window.pc_PS_mix_Y.setData(
                alia_qdev.fftw_PS_mix_Y.freqs,
                alia_qdev.fftw_PS_mix_Y.compute_spectrum_dB(state.rb_mix_Y),
            )

    def calculate_PS_R():
        state = alia_qdev.state
        if window.pc_PS_R.isVisible() and state.rb_R.is_full:
            window.pc_PS_R.setData(
                alia_qdev.fftw_PS_R.freqs,
                alia_qdev.fftw_PS_R.compute_spectrum_dB(state.rb_R),
            )

    # Special cases where the lock-in is paused: Clicking the legend checkboxes
    # to unhide the PS curves should recalculate the PS based on the last known
    # data. We must check if the lock-in is paused before calculating, because
    # we might otherwise interfere with the other possible PS calculation
    # already happening in the worker_DAQ thread if the lock-in is actually
    # running at the moment of toggling the checkboxes.
    #
    # Ugly workaround, I know. All because we want the PS to be calculated only
    # when the curve will be shown in order to reduce the cpu load.

    @QtCore.pyqtSlot()
    def update_paused_PS_sig_I():
        if alia.lockin_paused:
            calculate_PS_sig_I()
            window.pc_PS_sig_I.update()

    @QtCore.pyqtSlot()
    def update_paused_PS_filt_I():
        if alia.lockin_paused:
            calculate_PS_filt_I()
            window.pc_PS_filt_I.update()

    @QtCore.pyqtSlot()
    def update_paused_PS_mix_X():
        if alia.lockin_paused:
            calculate_PS_mix_X()
            window.pc_PS_mix_X.update()

    @QtCore.pyqtSlot()
    def update_paused_PS_mix_Y():
        if alia.lockin_paused:
            calculate_PS_mix_Y()
            window.pc_PS_mix_Y.update()

    @QtCore.pyqtSlot()
    def update_paused_PS_R():
        if alia.lockin_paused:
            calculate_PS_R()
            window.pc_PS_R.update()

    window.legend_PS.chkbs[0].clicked.connect(update_paused_PS_sig_I)
    window.legend_PS.chkbs[1].clicked.connect(update_paused_PS_filt_I)
    window.legend_PS.chkbs[2].clicked.connect(update_paused_PS_mix_X)
    window.legend_PS.chkbs[3].clicked.connect(update_paused_PS_mix_Y)
    window.legend_PS.chkbs[4].clicked.connect(update_paused_PS_R)

    # --------------------------------------------------------------------------
    #   Start threads
    # --------------------------------------------------------------------------

    alia_qdev.start(DAQ_priority=QtCore.QThread.TimeCriticalPriority)

    # --------------------------------------------------------------------------
    #   Start the main GUI event loop
    # --------------------------------------------------------------------------

    window.show()
    sys.exit(app.exec_())

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Arduino lock-in amplifier
"""
__author__ = "<NAME>"
__authoremail__ = "<EMAIL>"
__url__ = "https://github.com/Dennis-van-Gils/DvG_Arduino_lock-in_amp"
__date__ = "31-08-2021"
__version__ = "2.0.0"
# pylint: disable=invalid-name

import os
import sys

import time as Time
import psutil

from PyQt5 import QtCore
from PyQt5 import QtWidgets as QtWid
from PyQt5.QtCore import QDateTime
import numpy as np

from dvg_pyqt_filelogger import FileLogger
from dvg_debug_functions import dprint
from dvg_fftw_welchpowerspectrum import FFTW_WelchPowerSpectrum

from Alia_protocol_serial import Alia, Waveform
from Alia_qdev import Alia_qdev
from Alia_gui import MainWindow

# Show debug info in terminal? Warning: Slow! Do not leave on unintentionally.
DEBUG = False
DEBUG_TIMING = False

# Enable GPU-accelerated computations on an NVIDIA videocard with CUDA support?
# Affects the FIR filters.
USE_CUDA = False


# ------------------------------------------------------------------------------
#   current_date_time_strings
# ------------------------------------------------------------------------------


def current_date_time_strings():
    cur_date_time = QDateTime.currentDateTime()
    return (
        cur_date_time.toString("dd-MM-yyyy"),
        cur_date_time.toString("HH:mm:ss"),
    )


# ------------------------------------------------------------------------------
#   Program termination routines
# ------------------------------------------------------------------------------


def stop_running():
    app.processEvents()
    alia_qdev.turn_off()
    alia_qdev.quit()
    logger.close()


@QtCore.pyqtSlot()
def notify_connection_lost():
    stop_running()

    excl = "    ! ! ! ! ! ! ! !    "
    window.qlbl_title.setText("%sLOST CONNECTION%s" % (excl, excl))

    str_cur_date, str_cur_time = current_date_time_strings()
    str_msg = "%s %s\nLost connection to Arduino on port %s.\n" % (
        str_cur_date,
        str_cur_time,
        alia.ser.portstr,
    )
    print("\nCRITICAL ERROR @ %s" % str_msg)
    reply = QtWid.QMessageBox.warning(
        window, "CRITICAL ERROR", str_msg, QtWid.QMessageBox.Ok
    )

    if reply == QtWid.QMessageBox.Ok:
        pass  # Leave the GUI open for read-only inspection by the user


@QtCore.pyqtSlot()
def about_to_quit():
    print("\nAbout to quit")
    stop_running()
    alia.close()


# ------------------------------------------------------------------------------
#   Lock-in amplifier data-acquisition update function
# ------------------------------------------------------------------------------


def lockin_DAQ_update():
    """Listen for new data blocks send by the lock-in amplifier and perform the
    main mathematical operations for signal processing. This function will run
    in a dedicated thread (i.e. `worker_DAQ`), separated from the main program
    thread that handles the GUI.
    NOTE: NO GUI OPERATIONS ARE ALLOWED HERE. Otherwise it may affect the
    `worker_DAQ` thread negatively, resulting in lost blocks of data.
    """
    # Shorthands
    c: Alia.Config = alia.config
    state: Alia_qdev.State = alia_qdev.state

    # Prevent throwings errors if just paused
    if alia.lockin_paused:
        return False

    if DEBUG_TIMING:
        tock = Time.perf_counter()
        print("%.2f _DAQ" % (tock - alia.tick))
        alia.tick = tock

    # Listen for data buffers send by the lock-in
    (
        success,
        _counter,
        state.time,
        state.ref_X,
        state.ref_Y,
        state.sig_I,
    ) = alia.listen_to_lockin_amp()

    if not success:
        dprint("@ %s %s" % current_date_time_strings())
        return False

    # Detect dropped blocks
    # ---------------------
    # TODO: Rethink this procedure. Might be easier done with the index of the
    # block that also gets send by the Arduino. We either receive a full block,
    # or we don't. There are no partial blocks that can be received.

    alia_qdev.state.blocks_received += 1
    last_time = state.rb_time[-1] if state.blocks_received > 1 else np.nan
    dT = (state.time[0] - last_time) / 1e6  # [usec] to [sec]

    if dT > c.SAMPLING_PERIOD * 1e6 * 1.10:  # Allow a little clock jitter
        N_dropped_samples = int(round(dT / c.SAMPLING_PERIOD) - 1)
        dprint("Dropped samples: %i" % N_dropped_samples)
        dprint("@ %s %s" % current_date_time_strings())

        # Replace dropped samples with np.nan samples.
        # As a result, the filter output will contain a continuous series of
        # np.nan values in the output for up to `RingBuffer_FIR_Filter.
        # T_settle_filter` seconds long after the occurrence of the last dropped
        # sample.
        state.rb_time.extend(
            last_time
            + np.arange(1, N_dropped_samples + 1) * c.SAMPLING_PERIOD * 1e6
        )
        state.rb_ref_X.extend(np.full(N_dropped_samples, np.nan))
        state.rb_ref_Y.extend(np.full(N_dropped_samples, np.nan))
        state.rb_sig_I.extend(np.full(N_dropped_samples, np.nan))

    # Stage 0
    # -------

    state.sig_I_min = np.min(state.sig_I)
    state.sig_I_max = np.max(state.sig_I)
    state.sig_I_avg = np.mean(state.sig_I)
    state.sig_I_std = np.std(state.sig_I)

    state.rb_time.extend(state.time)
    state.rb_ref_X.extend(state.ref_X)
    state.rb_ref_Y.extend(state.ref_Y)
    state.rb_sig_I.extend(state.sig_I)

    # Note: `ref_X` [non-dim] is transformed to `ref_X*` [V]
    # Note: `ref_Y` [non-dim] is transformed to `ref_Y*` [V]
    window.hcc_ref_X.extendData(
        state.time, np.multiply(state.ref_X, c.ref_V_ampl_RMS) + c.ref_V_offset
    )
    window.hcc_ref_Y.extendData(
        state.time, np.multiply(state.ref_Y, c.ref_V_ampl_RMS) + c.ref_V_offset
    )
    window.hcc_sig_I.extendData(state.time, state.sig_I)

    # Stage 1
    # -------
    # fmt: off

    # Apply filter 1 to sig_I
    state.filt_I = alia_qdev.firf_1_sig_I.apply_filter(state.rb_sig_I)

    if alia_qdev.firf_1_sig_I.filter_has_settled:
        # Retrieve the block of original data from the past that aligns with
        # the current filter output
        valid_slice = alia_qdev.firf_1_sig_I.rb_valid_slice

        state.time_1 = state.rb_time [valid_slice]
        old_sig_I    = state.rb_sig_I[valid_slice]
        old_ref_X    = state.rb_ref_X[valid_slice]
        old_ref_Y    = state.rb_ref_Y[valid_slice]

        # Heterodyne mixing
        np.multiply(state.filt_I, old_ref_X, out=state.mix_X)
        np.multiply(state.filt_I, old_ref_Y, out=state.mix_Y)
    else:
        state.time_1.fill(np.nan)
        old_sig_I = np.full(c.BLOCK_SIZE, np.nan)
        state.mix_X.fill(np.nan)
        state.mix_Y.fill(np.nan)

    state.filt_I_min = np.min(state.filt_I)
    state.filt_I_max = np.max(state.filt_I)
    state.filt_I_avg = np.mean(state.filt_I)
    state.filt_I_std = np.std(state.filt_I)

    state.rb_time_1.extend(state.time_1)
    state.rb_filt_I.extend(state.filt_I)
    state.rb_mix_X .extend(state.mix_X)
    state.rb_mix_Y .extend(state.mix_Y)

    window.hcc_filt_1_in .extendData(state.time_1, old_sig_I)
    window.hcc_filt_1_out.extendData(state.time_1, state.filt_I)
    window.hcc_mix_X     .extendData(state.time_1, state.mix_X)
    window.hcc_mix_Y     .extendData(state.time_1, state.mix_Y)
    # fmt: on

    # Stage 2
    # -------

    # Apply filter 2 to the mixer output
    state.X = alia_qdev.firf_2_mix_X.apply_filter(state.rb_mix_X)
    state.Y = alia_qdev.firf_2_mix_Y.apply_filter(state.rb_mix_Y)

    if alia_qdev.firf_2_mix_X.filter_has_settled:
        # Retrieve the block of time data from the past that aligns with
        # the current filter output
        valid_slice = alia_qdev.firf_1_sig_I.rb_valid_slice
        state.time_2 = state.rb_time_1[valid_slice]

        # Signal amplitude: R
        np.sqrt(np.add(np.square(state.X), np.square(state.Y)), out=state.R)

        # Signal phase: Theta
        np.arctan2(state.Y, state.X, out=state.T)
        np.multiply(state.T, 180 / np.pi, out=state.T)  # [rad] to [deg]
    else:
        state.time_2.fill(np.nan)
        state.R.fill(np.nan)
        state.T.fill(np.nan)

    state.X_avg = np.mean(state.X)
    state.Y_avg = np.mean(state.Y)
    state.R_avg = np.mean(state.R)
    state.T_avg = np.mean(state.T)

    state.rb_time_2.extend(state.time_2)
    state.rb_X.extend(state.X)
    state.rb_Y.extend(state.Y)
    state.rb_R.extend(state.R)
    state.rb_T.extend(state.T)

    window.hcc_LIA_XR.extendData(
        state.time_2, state.X if window.qrbt_XR_X.isChecked() else state.R
    )
    window.hcc_LIA_YT.extendData(
        state.time_2, state.Y if window.qrbt_YT_Y.isChecked() else state.T
    )

    # Check if memory address of underlying buffer is still unchanged
    # pylint: disable=pointless-string-statement
    """
    test = np.asarray(state.rb_X)
    print("%6i, mem: %i, cont?: %i, rb buf mem: %i, full? %i" % (
            state.blocks_received,
            test.__array_interface__['data'][0],
            test.flags['C_CONTIGUOUS'],
            state.rb_X._unwrap_buffer.__array_interface__['data'][0],
            state.rb_X.is_full))
    """

    # Power spectra
    # -------------

    calculate_PS_sig_I()
    calculate_PS_filt_I()
    calculate_PS_mix_X()
    calculate_PS_mix_Y()
    calculate_PS_R()

    # Logging to file
    logger.update(mode="w")

    # Return success
    return True


# ------------------------------------------------------------------------------
#   Log functions
# ------------------------------------------------------------------------------


def write_header_to_log():
    header = (
        "\t".join(
            (
                "time[s]",
                "ref_X*[V]",
                "ref_Y*[V]",
                "sig_I[V]",
                "filt_I[V]",
                "mix_X[V]",
                "mix_Y[V]",
                "X[V]",
                "Y[V]",
                "R[V]",
                "T[deg]",
            )
        )
        + "\n"
    )
    logger.write(header)


def write_data_to_log():
    if alia_qdev.firf_2_mix_X.filter_has_settled:
        # All filters have settled --> green light
        c = alia.config
        N = c.BLOCK_SIZE
        state = alia_qdev.state
        idx_offset = alia_qdev.firf_1_sig_I.rb_valid_slice.start

        # tick = Time.perf_counter()
        # Note: `ref_X` [non-dim] is transformed to `ref_X*` [V]
        # Note: `ref_Y` [non-dim] is transformed to `ref_Y*` [V]
        data = np.asmatrix(
            [
                state.rb_time[:N] / 1e6,
                np.multiply(state.rb_ref_X[:N], c.ref_V_ampl_RMS)
                + c.ref_V_offset,
                np.multiply(state.rb_ref_Y[:N], c.ref_V_ampl_RMS)
                + c.ref_V_offset,
                state.rb_sig_I[:N],
                state.rb_filt_I[idx_offset : idx_offset + N],
                state.rb_mix_X[idx_offset : idx_offset + N],
                state.rb_mix_Y[idx_offset : idx_offset + N],
                state.X[:N],
                state.Y[:N],
                state.R[:N],
                state.T[:N],
                # For debugging:
                # state.rb_time_1[idx_offset : idx_offset + N] / 1e6,
                # state.time_2[:N] / 1e6,
            ]
        )
        data = np.ma.transpose(data)
        # tock = Time.perf_counter()
        # print("%.4f" % (tock - tick), end=", ")  # ~ 0.0001 s
        logger.np_savetxt(data, fmt="%.5f", delimiter="\t")
        # print("%.4f" % (Time.perf_counter() - tock))  # ~0.01 s


# ------------------------------------------------------------------------------
#   Main
# ------------------------------------------------------------------------------

if __name__ == "__main__":
    # Set priority of this process to maximum in the operating system
    print("PID: %s" % os.getpid())
    try:
        proc = psutil.Process(os.getpid())
        if os.name == "nt":
            proc.nice(psutil.HIGH_PRIORITY_CLASS)  # Windows
        else:
            proc.nice(-20)  # Other
    except:  # pylint: disable=bare-except
        print("Warning: Could not set process to high priority.")

    # --------------------------------------------------------------------------
    #   Arduino
    # --------------------------------------------------------------------------

    # Connect to Arduino
    alia = Alia(read_timeout=4)
    alia.auto_connect()

    if not alia.is_alive:
        print("\nCheck connection and try resetting the Arduino.")
        print("Exiting...\n")
        sys.exit(0)

    if DEBUG_TIMING:
        alia.tick = Time.perf_counter()

    alia.begin(
        waveform=Waveform.Sine,
        freq=250,
        V_offset=1.65,
        V_ampl_RMS=0.5,
    )

    # Create workers and threads
    alia_qdev = Alia_qdev(
        dev=alia,
        DAQ_function=lockin_DAQ_update,
        N_blocks=21,
        critical_not_alive_count=3,
        use_CUDA=USE_CUDA,
        debug=DEBUG,
    )
    alia_qdev.signal_connection_lost.connect(notify_connection_lost)

    # --------------------------------------------------------------------------
    #   Create application and main window
    # --------------------------------------------------------------------------
    QtCore.QThread.currentThread().setObjectName("MAIN")  # For DEBUG info

    app = 0  # Work-around for kernel crash when using Spyder IDE
    app = QtWid.QApplication(sys.argv)
    app.aboutToQuit.connect(about_to_quit)

    window = MainWindow(alia, alia_qdev)

    # --------------------------------------------------------------------------
    #   File logger
    # --------------------------------------------------------------------------

    logger = FileLogger(
        write_header_function=write_header_to_log,
        write_data_function=write_data_to_log,
    )
    logger.signal_recording_started.connect(
        lambda filepath: window.qpbt_record.setText(
            "Recording to file: %s" % filepath
        )
    )
    logger.signal_recording_stopped.connect(
        lambda: window.qpbt_record.setText("Click to start recording to file")
    )

    window.qpbt_record.clicked.connect(
        lambda state: logger.record(state)  # pylint: disable=unnecessary-lambda
    )

    # --------------------------------------------------------------------------
    #   Create power spectrum FFTW objects
    # --------------------------------------------------------------------------

    p = {
        "len_data": alia_qdev.state.rb_capacity,
        "fs": alia.config.Fs,
        "nperseg": alia.config.Fs,
    }
    # fmt: off
    alia_qdev.fftw_PS_sig_I  = FFTW_WelchPowerSpectrum(**p)
    alia_qdev.fftw_PS_filt_I = FFTW_WelchPowerSpectrum(**p)
    alia_qdev.fftw_PS_mix_X  = FFTW_WelchPowerSpectrum(**p)
    alia_qdev.fftw_PS_mix_Y  = FFTW_WelchPowerSpectrum(**p)
    alia_qdev.fftw_PS_R      = FFTW_WelchPowerSpectrum(**p)
    # fmt: on

    # Only calculate the power spectrum when the curve is visible. Calculating
    # spectra is CPU intensive and might impact the responsiveness of the GUI
    # or, in the extreme case, cause dropped blocks of data.

    def calculate_PS_sig_I():
        state = alia_qdev.state
        if window.pc_PS_sig_I.isVisible() and state.rb_sig_I.is_full:
            window.pc_PS_sig_I.setData(
                alia_qdev.fftw_PS_sig_I.freqs,
                alia_qdev.fftw_PS_sig_I.compute_spectrum_dB(state.rb_sig_I),
            )

    def calculate_PS_filt_I():
        state = alia_qdev.state
        if window.pc_PS_filt_I.isVisible() and state.rb_filt_I.is_full:
            window.pc_PS_filt_I.setData(
                alia_qdev.fftw_PS_filt_I.freqs,
                alia_qdev.fftw_PS_filt_I.compute_spectrum_dB(state.rb_filt_I),
            )

    def calculate_PS_mix_X():
        state = alia_qdev.state
        if window.pc_PS_mix_X.isVisible() and state.rb_mix_X.is_full:
            window.pc_PS_mix_X.setData(
                alia_qdev.fftw_PS_mix_X.freqs,
                alia_qdev.fftw_PS_mix_X.compute_spectrum_dB(state.rb_mix_X),
            )

    def calculate_PS_mix_Y():
        state = alia_qdev.state
        if window.pc_PS_mix_Y.isVisible() and state.rb_mix_Y.is_full:
            window.pc_PS_mix_Y.setData(
                alia_qdev.fftw_PS_mix_Y.freqs,
                alia_qdev.fftw_PS_mix_Y.compute_spectrum_dB(state.rb_mix_Y),
            )

    def calculate_PS_R():
        state = alia_qdev.state
        if window.pc_PS_R.isVisible() and state.rb_R.is_full:
            window.pc_PS_R.setData(
                alia_qdev.fftw_PS_R.freqs,
                alia_qdev.fftw_PS_R.compute_spectrum_dB(state.rb_R),
            )

    # Special cases where the lock-in is paused: Clicking the legend checkboxes
    # to unhide the PS curves should recalculate the PS based on the last known
    # data. We must check if the lock-in is paused before calculating, because
    # we might otherwise interfere with the other possible PS calculation
    # already happening in the worker_DAQ thread if the lock-in is actually
    # running at the moment of toggling the checkboxes.
    #
    # Ugly workaround, I know. All because we want the PS to be calculated only
    # when the curve will be shown in order to reduce the cpu load.

    @QtCore.pyqtSlot()
    def update_paused_PS_sig_I():
        if alia.lockin_paused:
            calculate_PS_sig_I()
            window.pc_PS_sig_I.update()

    @QtCore.pyqtSlot()
    def update_paused_PS_filt_I():
        if alia.lockin_paused:
            calculate_PS_filt_I()
            window.pc_PS_filt_I.update()

    @QtCore.pyqtSlot()
    def update_paused_PS_mix_X():
        if alia.lockin_paused:
            calculate_PS_mix_X()
            window.pc_PS_mix_X.update()

    @QtCore.pyqtSlot()
    def update_paused_PS_mix_Y():
        if alia.lockin_paused:
            calculate_PS_mix_Y()
            window.pc_PS_mix_Y.update()

    @QtCore.pyqtSlot()
    def update_paused_PS_R():
        if alia.lockin_paused:
            calculate_PS_R()
            window.pc_PS_R.update()

    window.legend_PS.chkbs[0].clicked.connect(update_paused_PS_sig_I)
    window.legend_PS.chkbs[1].clicked.connect(update_paused_PS_filt_I)
    window.legend_PS.chkbs[2].clicked.connect(update_paused_PS_mix_X)
    window.legend_PS.chkbs[3].clicked.connect(update_paused_PS_mix_Y)
    window.legend_PS.chkbs[4].clicked.connect(update_paused_PS_R)

    # --------------------------------------------------------------------------
    #   Start threads
    # --------------------------------------------------------------------------

    alia_qdev.start(DAQ_priority=QtCore.QThread.TimeCriticalPriority)

    # --------------------------------------------------------------------------
    #   Start the main GUI event loop
    # --------------------------------------------------------------------------

    window.show()
    sys.exit(app.exec_())

#!/usr/bin/env python3 # -*- coding: utf-8 -*- Arduino lock-in amplifier # pylint: disable=invalid-name # Show debug info in terminal? Warning: Slow! Do not leave on unintentionally. # Enable GPU-accelerated computations on an NVIDIA videocard with CUDA support? # Affects the FIR filters. # ------------------------------------------------------------------------------ #   current_date_time_strings # ------------------------------------------------------------------------------ # ------------------------------------------------------------------------------ #   Program termination routines # ------------------------------------------------------------------------------ # Leave the GUI open for read-only inspection by the user # ------------------------------------------------------------------------------ #   Lock-in amplifier data-acquisition update function # ------------------------------------------------------------------------------ Listen for new data blocks send by the lock-in amplifier and perform the     main mathematical operations for signal processing. This function will run     in a dedicated thread (i.e. `worker_DAQ`), separated from the main program     thread that handles the GUI.     NOTE: NO GUI OPERATIONS ARE ALLOWED HERE. Otherwise it may affect the     `worker_DAQ` thread negatively, resulting in lost blocks of data. # Shorthands # Prevent throwings errors if just paused # Listen for data buffers send by the lock-in # Detect dropped blocks # --------------------- # TODO: Rethink this procedure. Might be easier done with the index of the # block that also gets send by the Arduino. We either receive a full block, # or we don't. There are no partial blocks that can be received. # [usec] to [sec] # Allow a little clock jitter # Replace dropped samples with np.nan samples. # As a result, the filter output will contain a continuous series of # np.nan values in the output for up to `RingBuffer_FIR_Filter. # T_settle_filter` seconds long after the occurrence of the last dropped # sample. # Stage 0 # ------- # Note: `ref_X` [non-dim] is transformed to `ref_X*` [V] # Note: `ref_Y` [non-dim] is transformed to `ref_Y*` [V] # Stage 1 # ------- # fmt: off # Apply filter 1 to sig_I # Retrieve the block of original data from the past that aligns with # the current filter output # Heterodyne mixing # fmt: on # Stage 2 # ------- # Apply filter 2 to the mixer output # Retrieve the block of time data from the past that aligns with # the current filter output # Signal amplitude: R # Signal phase: Theta # [rad] to [deg] # Check if memory address of underlying buffer is still unchanged # pylint: disable=pointless-string-statement test = np.asarray(state.rb_X)     print("%6i, mem: %i, cont?: %i, rb buf mem: %i, full? %i" % (             state.blocks_received,             test.__array_interface__['data'][0],             test.flags['C_CONTIGUOUS'],             state.rb_X._unwrap_buffer.__array_interface__['data'][0],             state.rb_X.is_full)) # Power spectra # ------------- # Logging to file # Return success # ------------------------------------------------------------------------------ #   Log functions # ------------------------------------------------------------------------------ # All filters have settled --> green light # tick = Time.perf_counter() # Note: `ref_X` [non-dim] is transformed to `ref_X*` [V] # Note: `ref_Y` [non-dim] is transformed to `ref_Y*` [V] # For debugging: # state.rb_time_1[idx_offset : idx_offset + N] / 1e6, # state.time_2[:N] / 1e6, # tock = Time.perf_counter() # print("%.4f" % (tock - tick), end=", ")  # ~ 0.0001 s # print("%.4f" % (Time.perf_counter() - tock))  # ~0.01 s # ------------------------------------------------------------------------------ #   Main # ------------------------------------------------------------------------------ # Set priority of this process to maximum in the operating system # Windows # Other # pylint: disable=bare-except # -------------------------------------------------------------------------- #   Arduino # -------------------------------------------------------------------------- # Connect to Arduino # Create workers and threads # -------------------------------------------------------------------------- #   Create application and main window # -------------------------------------------------------------------------- # For DEBUG info # Work-around for kernel crash when using Spyder IDE # -------------------------------------------------------------------------- #   File logger # -------------------------------------------------------------------------- # pylint: disable=unnecessary-lambda # -------------------------------------------------------------------------- #   Create power spectrum FFTW objects # -------------------------------------------------------------------------- # fmt: off # fmt: on # Only calculate the power spectrum when the curve is visible. Calculating # spectra is CPU intensive and might impact the responsiveness of the GUI # or, in the extreme case, cause dropped blocks of data. # Special cases where the lock-in is paused: Clicking the legend checkboxes # to unhide the PS curves should recalculate the PS based on the last known # data. We must check if the lock-in is paused before calculating, because # we might otherwise interfere with the other possible PS calculation # already happening in the worker_DAQ thread if the lock-in is actually # running at the moment of toggling the checkboxes. # # Ugly workaround, I know. All because we want the PS to be calculated only # when the curve will be shown in order to reduce the cpu load. # -------------------------------------------------------------------------- #   Start threads # -------------------------------------------------------------------------- # -------------------------------------------------------------------------- #   Start the main GUI event loop # --------------------------------------------------------------------------