[dataio/nix] adding comments

pyrelacs/config.yaml

@@ -1,9 +1,11 @@
 settings:
   # If true daq should be used, else starts without daq
-  daq: False
+  daq: True
   # class names of the repros to run
   repros: [Calibration, Sinus]
   path: ~/projects/pyrelacs/test/
+  # string to append after the file name
+  postappend: ehpys
 
 metadata:
   SetupName        : Setup1

pyrelacs/dataio/daq_producer.py

@@ -21,7 +21,6 @@ class DaqProducer:
         self.device = device
         self.ai_device = self.device.get_ai_device()
         self.channels = channels
-
         self.stop = False
 
     def read_analog_continously(
@@ -41,7 +40,7 @@ class DaqProducer:
         )
 
         # let the buffer for the daq device hold 5 seconds of data
-        daq_buffer_size = int(self.buffer.samplerate * 5)
+        daq_buffer_size = int(self.buffer.samplerate * 30)
 
         data_in = uldaq.create_float_buffer(channel_range.size, daq_buffer_size)
         log.debug(f"Buffersize for daq {len(data_in)}")
@@ -70,7 +69,12 @@ class DaqProducer:
                 prev_count = 0
                 prev_index = 0
                 while not self.stop:
-                    daq_status, transfer_status = self.ai_device.get_scan_status()
+                    try:
+                        daq_status, transfer_status = self.ai_device.get_scan_status()
+                    except uldaq.ul_exception.ULException as e:
+                        log.error("Could not get the scan status")
+                        log.error("Stopping writting")
+                        break
                     # The index into the data buffer immediately following the last sample transferred.
                     current_index = transfer_status.current_index
                     # total samples since start of the scan
@@ -79,7 +83,7 @@ class DaqProducer:
                     channel_samples = transfer_status.current_scan_count
 
                     new_data_count = total_samples - prev_count
-                    # check if counts if new data is bigger than the buffer
+                    # check if new data is bigger than the buffer
                     # if that happends stop the acquisition
                     if new_data_count > len(data_in):
                         self.ai_device.scan_stop()
@@ -92,23 +96,54 @@ class DaqProducer:
                         if prev_index + chunk_size > len(data_in) - 1:
                             log.debug("Chunk wraps around buffersize")
                             first_chunk = len(data_in) - prev_index
+
+                            data_first_channel = data_in[
+                                prev_index : prev_index + first_chunk : 2
+                            ]
+                            data_second_channel = data_in[
+                                prev_index + 1 : prev_index + first_chunk : 2
+                            ]
+
                             [
-                                self.buffer.append(data_in[prev_index + i])
-                                for i in range(first_chunk)
+                                self.buffer.append(data_first_channel[i], channel=0)
+                                for i in range(int(first_chunk / 2))
+                            ]
+
+                            [
+                                self.buffer.append(data_second_channel[i], channel=1)
+                                for i in range(int(first_chunk / 2))
                             ]
                             second_chunk = chunk_size - first_chunk
+                            data_first_channel = data_in[0:second_chunk:2]
+                            data_second_channel = data_in[1:second_chunk:2]
+
                             [
-                                self.buffer.append(data_in[i])
-                                for i in range(second_chunk)
+                                self.buffer.append(data_first_channel[i], channel=0)
+                                for i in range(int(second_chunk / 2))
+                            ]
+                            [
+                                self.buffer.append(data_second_channel[i], channel=1)
+                                for i in range(int(second_chunk / 2))
                             ]
                         else:
                             log.debug("Writing chunk to buffer")
+                            # appending to the first channel
+
+                            data_first_channel = data_in[
+                                prev_index : prev_index + chunk_size : 2
+                            ]
+                            data_second_channel = data_in[
+                                prev_index + 1 : prev_index + chunk_size : 2
+                            ]
                             [
-                                self.buffer.append(data_in[prev_index + i])
-                                for i in range(chunk_size)
+                                self.buffer.append(data_first_channel[i], channel=0)
+                                for i in range(int(chunk_size / 2))
                             ]
 
-                            self.buffer.append(data_in[current_index])
+                            [
+                                self.buffer.append(data_second_channel[i], channel=1)
+                                for i in range(int(chunk_size / 2))
+                            ]
 
                         if total_samples - prev_count > len(data_in):
                             self.ai_device.scan_stop()
@@ -124,33 +159,70 @@ class DaqProducer:
 
                 self.ai_device.scan_stop()
                 daq_status, transfer_status = self.ai_device.get_scan_status()
-                current_index = transfer_status.current_index
                 log.debug(daq_status)
+                chunk_size = transfer_status.current_total_count - prev_count
 
-                log.debug(transfer_status.current_index)
-                log.debug(transfer_status.current_total_count)
-                log.debug(transfer_status.current_scan_count)
-                log.debug(self.buffer.totalcount())
+                log.debug(f"DAQ current index {transfer_status.current_index}")
+                log.debug(f"DAQ total count {transfer_status.current_total_count}")
+                log.debug(
+                    f"DAQ Samples per channel {transfer_status.current_scan_count}"
+                )
                 log.debug("Appending last chunk")
 
                 if prev_index + chunk_size > len(data_in) - 1:
                     log.debug("Chunk wraps around buffersize")
                     first_chunk = len(data_in) - prev_index
-                    [
-                        self.buffer.append(data_in[prev_index + i])
-                        for i in range(first_chunk)
+
+                    data_first_channel = data_in[
+                        prev_index : prev_index + first_chunk : 2
                     ]
-                    second_chunk = chunk_size - first_chunk
-                    [self.buffer.append(data_in[i]) for i in range(second_chunk)]
-                else:
-                    log.debug("Writing chunk to buffer")
-                    [
-                        self.buffer.append(data_in[prev_index + i])
-                        for i in range(chunk_size)
+                    data_second_channel = data_in[
+                        prev_index + 1 : prev_index + first_chunk : 2
                     ]
 
-                    self.buffer.append(data_in[current_index])
+                    [
+                        self.buffer.append(data_first_channel[i], channel=0)
+                        for i in range(int(first_chunk / 2))
+                    ]
+
+                    [
+                        self.buffer.append(data_second_channel[i], channel=1)
+                        for i in range(int(first_chunk / 2))
+                    ]
+                    second_chunk = chunk_size - first_chunk
+                    data_first_channel = data_in[0:second_chunk:2]
+                    data_second_channel = data_in[1:second_chunk:2]
+
+                    [
+                        self.buffer.append(data_first_channel[i], channel=0)
+                        for i in range(int(second_chunk / 2))
+                    ]
+                    [
+                        self.buffer.append(data_second_channel[i], channel=1)
+                        for i in range(int(second_chunk / 2))
+                    ]
+                else:
+                    log.debug("Writing chunk to buffer")
+                    # appending to the first channel
+
+                    data_first_channel = data_in[
+                        prev_index : prev_index + chunk_size : 2
+                    ]
+                    data_second_channel = data_in[
+                        prev_index + 1 : prev_index + chunk_size : 2
+                    ]
+                    [
+                        self.buffer.append(data_first_channel[i], channel=0)
+                        for i in range(int(chunk_size / 2))
+                    ]
+
+                    [
+                        self.buffer.append(data_second_channel[i], channel=1)
+                        for i in range(int(chunk_size / 2))
+                    ]
                 log.info("stopping")
+                log.debug(self.buffer.totalcount())
+                log.debug(self.ai_device.get_scan_status())
 
                 break
             break

pyrelacs/dataio/nix_writer.py

@@ -1,4 +1,9 @@
+from datetime import datetime
+import itertools
+import string
 import time
+from dataclasses import asdict
+
 from IPython import embed
 from PyQt6.QtCore import QMutex
 import nixio
@@ -10,8 +15,9 @@ log = config_logging()
 
 
 class NixWriter:
-    def __init__(self, buffer: CircBuffer) -> None:
+    def __init__(self, buffer: CircBuffer, config) -> None:
         self.buffer = buffer
+        self.config = config
 
     def write_nix(
         self,
@@ -62,11 +68,42 @@ class NixWriter:
         log.debug(f"Samples written {index}")
 
     def _write_header(self):
+        """
+        Writing the header of the nix file
+        """
         self.nix_file = nixio.File.open(path="data.nix", mode=nixio.FileMode.Overwrite)
         self.block = self.nix_file.create_block("recording", "testfile")
         self.data_array = self.block.create_data_array(
             "Analog1", "ndarray", shape=(1000,), dtype=nixio.DataType.Double
         )
 
+    def generate_letter_sequence(self):
+        alphabet = string.ascii_lowercase
+        for size in range(2, 3):
+            for combo in itertools.product(alphabet, repeat=size):
+                yield "".join(combo)
+
+    def create_nix_file(self, file_path, metadata):
+        data_time = datetime.now().strftime("%Y-%m-%t_%H-%M-%S")
+        sequence_generator = self.generate_letter_sequence()
+        sequence = next(sequence_generator)
+
+        self.nix_file = nixio.File.open(
+            path=f"{file_path}/{data_time}_{sequence}.nix",
+            mode=nixio.FileMode.Overwrite,
+        )
+        self.block = self.nix_file.create_block("recording", "testfile")
+        self.section = self.nix_file.create_section("metadata", "config.yaml")
+        for key, value in asdict(metadata).items():
+            self.section[key] = value
+
+        self.data_array_analog1 = self.block.create_data_array(
+            "Analog1", "ndarray", shape=(1000,), dtype=nixio.DataType.Double
+        )
+        self.data_array_analog2 = self.block.create_data_array(
+            "Analog2", "ndarray", shape=(1000,), dtype=nixio.DataType.Double
+        )
+        return self.data_array_analog1, self.data_array_analog2
+
     def stop_writing(self):
         self.write = False

pyrelacs/devices/mccdaq.py

@@ -224,10 +224,10 @@ class MccDaq:
                 uldaq.AOutListFlag.DEFAULT,
                 [0, 0],
             )
-        except Exception as e:
-            log.error("f{e}")
+        except Exception as er:
+            log.error(f"{er}")
             log.error("disconnection dac")
-            self.disconnect_daq()
+            # self.disconnect_daq()
 
     def digital_trigger(self, ch: int = 0) -> None:
         """

pyrelacs/repros/calibration/calibration.py

@@ -6,6 +6,8 @@ import uldaq
 from IPython import embed
 import numpy as np
 import matplotlib.pyplot as plt
+from scipy.signal import welch, find_peaks
+import pyqtgraph as pg
 
 from pyrelacs.devices.mccdaq import MccDaq
 from pyrelacs.util.logging import config_logging
@@ -15,40 +17,50 @@ log = config_logging()
 faulthandler.enable()
 
 
-class Calibration(MccDaq):
-    def __init__(self) -> None:
-        super().__init__()
+class Calibration:
+    def __init__(self, config, mccdaq: MccDaq) -> None:
+        self.config = config
+        self.mccdaq = mccdaq
         self.SAMPLERATE = 40_000.0
         self.DURATION = 5
         self.AMPLITUDE = 1
         self.SINFREQ = 750
 
     @staticmethod
-    def run(nix_file: nix.File):
-        calb = Calibration()
-        calb.check_beat(nix_file)
+    def run(*args, **kwargs):
+        nix_block = args[0]
+        figure = args[1]
+        mccdaq = args[2]
+        config = args[3]
+        calb = Calibration(config, mccdaq)
+        calb.check_beat(nix_block)
+        calb.plot(figure, nix_block)
+
+        return "finished"
 
     def check_amplitude(self):
         db_values = [0.0, -5.0, -10.0, -20.0, -50.0]
         colors = ["red", "green", "blue", "black", "yellow"]
-        self.set_attenuation_level(db_channel1=0.0, db_channel2=0.0)
+        self.mccdaq.set_attenuation_level(db_channel1=0.0, db_channel2=0.0)
         # write to ananlog 1
         t = np.arange(0, self.DURATION, 1 / self.SAMPLERATE)
         data = self.AMPLITUDE * np.sin(2 * np.pi * self.SINFREQ * t)
         fig, ax = plt.subplots()
 
         for i, db_value in enumerate(db_values):
-            self.set_attenuation_level(db_channel1=db_value, db_channel2=db_value)
+            self.mccdaq.set_attenuation_level(
+                db_channel1=db_value, db_channel2=db_value
+            )
             log.debug(f"{db_value}")
 
-            stim = self.write_analog(
+            stim = self.mccdaq.write_analog(
                 data,
                 [0, 0],
                 self.SAMPLERATE,
                 ScanOption=uldaq.ScanOption.EXTTRIGGER,
             )
 
-            data_channel_one = self.read_analog(
+            data_channel_one = self.mccdaq.read_analog(
                 [0, 0],
                 self.DURATION,
                 self.SAMPLERATE,
@@ -57,21 +69,21 @@ class Calibration(MccDaq):
             time.sleep(1)
 
             log.debug("Starting the Scan")
-            self.digital_trigger()
+            self.mccdaq.digital_trigger()
 
             try:
-                self.ao_device.scan_wait(uldaq.WaitType.WAIT_UNTIL_DONE, 15)
+                self.mccdaq.ao_device.scan_wait(uldaq.WaitType.WAIT_UNTIL_DONE, 15)
                 log.debug("Scan finished")
-                self.write_bit(channel=0, bit=0)
+                self.mccdaq.write_bit(channel=0, bit=0)
                 time.sleep(1)
-                self.set_analog_to_zero()
+                self.mccdaq.set_analog_to_zero()
             except uldaq.ul_exception.ULException:
                 log.debug("Operation timed out")
                 # reset the diggital trigger
-                self.write_bit(channel=0, bit=0)
+                self.mccdaq.write_bit(channel=0, bit=0)
                 time.sleep(1)
-                self.set_analog_to_zero()
-                self.disconnect_daq()
+                self.mccdaq.set_analog_to_zero()
+                # self.mccdaq.disconnect_daq()
 
             if i == 0:
                 ax.plot(t, stim, label=f"Input_{db_value}", color=colors[i])
@@ -80,34 +92,33 @@ class Calibration(MccDaq):
         ax.legend()
         plt.show()
 
-        self.disconnect_daq()
+        # self.mccdaq.disconnect_daq()
 
-    def check_beat(self, nix_file: nix.File):
-        self.set_attenuation_level(db_channel1=-10.0, db_channel2=0.0)
+    def check_beat(self, nix_block: nix.Block):
+        self.mccdaq.set_attenuation_level(db_channel1=-10.0, db_channel2=0.0)
         t = np.arange(0, self.DURATION, 1 / self.SAMPLERATE)
         data = self.AMPLITUDE * np.sin(2 * np.pi * self.SINFREQ * t)
         # data = np.concatenate((data, data))
         db_values = [0.0, -5.0, -8.5, -10.0]
         colors = ["red", "blue", "black", "green"]
         colors_in = ["lightcoral", "lightblue", "grey", "lightgreen"]
-        block = nix_file.create_block("Calibration", "data")
         # fig, axes = plt.subplots(2, 2, sharex="col")
         for i, db_value in enumerate(db_values):
-            self.set_attenuation_level(db_channel1=db_value)
-            stim = self.write_analog(
+            self.mccdaq.set_attenuation_level(db_channel1=db_value)
+            stim = self.mccdaq.write_analog(
                 data,
                 [0, 0],
                 self.SAMPLERATE,
                 ScanOption=uldaq.ScanOption.EXTTRIGGER,
             )
-            readout = self.read_analog(
+            readout = self.mccdaq.read_analog(
                 [0, 1],
                 self.DURATION,
                 self.SAMPLERATE,
                 ScanOption=uldaq.ScanOption.EXTTRIGGER,
             )
-            self.digital_trigger()
-            log.info(self.ao_device)
+            self.mccdaq.digital_trigger()
+            log.info(self.mccdaq.ao_device)
             ai_status = uldaq.ScanStatus.RUNNING
             ao_status = uldaq.ScanStatus.RUNNING
 
@@ -119,10 +130,10 @@ class Calibration(MccDaq):
             ):
                 # log.debug("Scanning")
                 time.time_ns()
-                ai_status = self.ai_device.get_scan_status()[0]
-                ao_status = self.ao_device.get_scan_status()[0]
+                ai_status = self.mccdaq.ai_device.get_scan_status()[0]
+                ao_status = self.mccdaq.ao_device.get_scan_status()[0]
 
-            self.write_bit(channel=0, bit=0)
+            self.mccdaq.write_bit(channel=0, bit=0)
             log.debug(
                 f"Status Analog_output {ao_status}\n, Status Analog_input {ai_status}"
             )
@@ -130,7 +141,7 @@ class Calibration(MccDaq):
             channel1 = np.array(readout[::2])
             channel2 = np.array(readout[1::2])
 
-            stim_data = block.create_data_array(
+            stim_data = nix_block.create_data_array(
                 f"stimulus_{db_value}",
                 "nix.regular_sampled",
                 shape=data.shape,
@@ -143,7 +154,7 @@ class Calibration(MccDaq):
                 label="time",
                 unit="s",
             )
-            fish_data = block.create_data_array(
+            fish_data = nix_block.create_data_array(
                 f"fish_{db_value}",
                 "Array",
                 shape=data.shape,
@@ -157,7 +168,72 @@ class Calibration(MccDaq):
                 unit="s",
             )
 
-        self.set_analog_to_zero()
+        time.time_ns()
+        self.mccdaq.set_analog_to_zero()
+
+    def plot(self, figure, block):
+        self.figure = figure
+        self.figure.setBackground("w")
+        self.beat_plot = self.figure.addPlot(row=0, col=0)
+        self.power_plot = self.figure.addPlot(row=1, col=0)
+        self.beat_plot.addLegend()
+        self.power_plot.addLegend()
+        # self.power_plot.setLogMode(x=False, y=True)
+
+        colors = ["red", "green", "blue", "black", "yellow"]
+        for i, (stim, fish) in enumerate(
+            zip(list(block.data_arrays)[::2], list(block.data_arrays)[1::2])
+        ):
+            f_stim, stim_power = welch(
+                stim[:],
+                fs=40_000.0,
+                window="flattop",
+                nperseg=100_000,
+            )
+            stim_power = decibel(stim_power)
+            stim_max_power_index = np.argmax(stim_power)
+            freq_stim = f_stim[stim_max_power_index]
+
+            f_fish, fish_power = welch(
+                fish[:],
+                fs=40_000.0,
+                window="flattop",
+                nperseg=100_000,
+            )
+            fish_power = decibel(fish_power)
+            fish_max_power_index = np.argmax(fish_power)
+            freq_fish = f_fish[fish_max_power_index]
+
+            beat_frequency = np.abs(freq_fish - freq_stim)
+
+            beat = stim[:] + fish[:]
+            beat_squared = beat**2
+
+            f, powerspec = welch(
+                beat_squared,
+                window="flattop",
+                fs=40_000.0,
+                nperseg=100_000,
+            )
+            powerspec = decibel(powerspec)
+
+            padding = 20
+            integration_window = powerspec[
+                (f > beat_frequency - padding) & (f < beat_frequency + padding)
+            ]
+
+            peaks = find_peaks(powerspec, prominence=40)[0]
+
+            pen = pg.mkPen(colors[i])
+
+            self.beat_plot.plot(
+                np.arange(0, len(beat)) / 40_000.0,
+                beat,
+                pen=pen,
+                name=stim.name,
+            )
+            self.power_plot.plot(f, powerspec, pen=pen, name=stim.name)
+            self.power_plot.plot(f[peaks], powerspec[peaks], pen=None, symbol="x")
 
 
 def decibel(power, ref_power=1.0, min_power=1e-20):

pyrelacs/repros/repros.py

@@ -22,9 +22,7 @@ class Repro:
     def __init__(self) -> None:
         pass
 
-    def run_repro(
-        self, nix_file: nix.File, name: str, file: pathlib.Path, *args, **kwargs
-    ) -> None:
+    def run_repro(self, name: str, file: pathlib.Path, *args, **kwargs) -> None:
         spec = importlib.util.spec_from_file_location("rep", file)
         if not spec:
             log.error("Could not load the file")
@@ -40,7 +38,7 @@ class Repro:
                     log.error(f"{spec.loader} is None")
                 if hasattr(module, name):
                     rep_class = getattr(module, name)
-                    rep_class.run(nix_file)
+                    rep_class.run(*args, **kwargs)
                 else:
                     raise AttributeError(f"{file.name} has no {name} class")
 

pyrelacs/repros/sinus.py

@@ -1,3 +0,0 @@
-class Sinus:
-    def __init__(self) -> None:
-        pass

pyrelacs/repros/sinus/sinus.py

@@ -0,0 +1,17 @@
+import nixio
+from pyrelacs.util.logging import config_logging
+
+
+log = config_logging()
+
+
+class Sinus:
+    def __init__(self) -> None:
+        pass
+
+    @staticmethod
+    def run(config, mccdaq, nix_block: nixio.Block, figure) -> None:
+        log.debug(config)
+        log.debug(mccdaq)
+        log.debug(nix_block)
+        log.debug(figure)

pyrelacs/ui/mainwindow.py

@@ -7,6 +7,8 @@ from PyQt6.QtGui import QAction, QIcon, QKeySequence
 from PyQt6.QtCore import Qt, QSize, QThreadPool, QMutex
 from PyQt6.QtWidgets import (
     QGridLayout,
+    QPushButton,
+    QTabWidget,
     QToolBar,
     QWidget,
     QMainWindow,
@@ -47,11 +49,15 @@ class PyRelacs(QMainWindow):
         super().__init__()
         # loaded config
         self.config = config
+
+        # check if daq is connencted else None
         if self.config.settings.daq:
             start = time.time()
             self.mccdaq = MccDaq()
             end = time.time()
             log.debug(f"Connection to DAQ took {end - start}")
+        else:
+            self.mccdaq = None
 
         self.repros = Repro()
 
@@ -69,19 +75,6 @@ class PyRelacs(QMainWindow):
         self.text = QPlainTextEdit()
         self.text.setReadOnly(True)
 
-        self.setMenuBar(QMenuBar(self))
-        self.setStatusBar(QStatusBar(self))
-        self.create_actions()
-        self.create_toolbars()
-
-        layout = QGridLayout()
-        layout.addWidget(self.figure, 0, 0, 2, 2)
-        layout.addWidget(self.text, 2, 0, 1, 2)
-
-        widget = QWidget()
-        widget.setLayout(layout)
-        self.setCentralWidget(widget)
-
         SAMPLERATE = pq.Quantity(
             self.config.pyrelacs.data.input.inputsamplerate,
             self.config.pyrelacs.data.input.inputsamplerateunit,
@@ -99,19 +92,34 @@ class PyRelacs(QMainWindow):
         self.buffer = CircBuffer(
             size=int(BUFFERSIZE.base),
             samplerate=float(SAMPLERATE.base),
+            channels=2,
             mutex=self.mutex,
         )
         self.continously_plot = Continously(self.figure, self.buffer)
         # self.continously_plot.plot()
 
-        if self.config.settings.daq:
+        if self.mccdaq:
             log.debug("Creating Daq Generator")
-            self.daq_producer = DaqProducer(self.buffer, self.mccdaq.daq_device, [1, 1])
+            self.daq_producer = DaqProducer(self.buffer, self.mccdaq.daq_device, [4, 5])
         log.debug("Creating Sinus Generator")
         self.sinus_producer = SinProducer(self.buffer)
 
-        self.nix_writer = NixWriter(self.buffer)
-        self.create_nix_file(f"{_root}/test.nix", self.config.metadata)
+        self.nix_writer = NixWriter(self.buffer, self.config)
+        self.setMenuBar(QMenuBar(self))
+        self.setStatusBar(QStatusBar(self))
+        self.create_actions()
+        self.create_toolbars()
+        self.repro_tabs = QTabWidget()
+        self.create_repros_tabs()
+
+        layout = QGridLayout()
+        layout.addWidget(self.figure, 0, 0, 2, 2)
+        layout.addWidget(self.repro_tabs, 2, 0, 2, 2)
+        layout.addWidget(self.text, 4, 0, 1, 1)
+
+        widget = QWidget()
+        widget.setLayout(layout)
+        self.setCentralWidget(widget)
 
     def create_actions(self):
         self._rlx_exitaction = QAction(QIcon(":/icons/exit.png"), "Exit", self)
@@ -127,7 +135,7 @@ class PyRelacs(QMainWindow):
         self._daq_connectaction = QAction(
             QIcon(":icons/connect.png"), "Connect DAQ", self
         )
-        if self.config.settings.daq:
+        if self.mccdaq:
             self._daq_connectaction.setStatusTip("Connect to daq device")
             # self._daq_connectaction.setShortcut(QKeySequence("Alt+d"))
             self._daq_connectaction.triggered.connect(self.mccdaq.connect_dac)
@@ -146,7 +154,7 @@ class PyRelacs(QMainWindow):
         # # self._daq_calibaction.setShortcut(QKeySequence("Alt+d"))
         # self._daq_calibaction.triggered.connect(self.calibration_plot.plot)
 
-        self._run_action = QAction(QIcon(":/icons/record.png"), "Run", self)
+        self._run_action = QAction(QIcon(":/icons/record.png"), "RunDAQ", self)
         self._run_action.triggered.connect(self.run_daq)
 
         self._run_sinus_action = QAction(QIcon(":/icons/record.png"), "Sinus", self)
@@ -211,34 +219,53 @@ class PyRelacs(QMainWindow):
         daq_toolbar.addAction(self._record)
         self.addToolBar(Qt.ToolBarArea.TopToolBarArea, daq_toolbar)
 
-        repro_toolbar = QToolBar("Repros")
+    def create_repros_tabs(self):
         repro_names, file_names = self.repros.names_of_repros(
             include_repros=self.config.settings.repros
         )
+        figures_repros = {rep: pg.GraphicsLayoutWidget() for rep in repro_names}
         for rep, fn in zip(repro_names, file_names):
-            repro_action = QAction(rep, self)
-            repro_action.setStatusTip(rep)
-            repro_action.triggered.connect(
-                lambda checked, n=rep, f=fn: self.run_repro(n, f)
+            tab = QWidget()
+            tab_layout = QGridLayout()
+
+            run_repro_button = QPushButton(f"Run {rep}")
+            run_repro_button.setCheckable(True)
+            run_repro_button.clicked.connect(
+                lambda checked, n=rep, f=fn: self.run_repro(
+                    n,
+                    f,
+                    figures_repros,
+                    self.mccdaq,
+                    self.config,
+                )
             )
-            repro_toolbar.addAction(repro_action)
-        self.addToolBar(Qt.ToolBarArea.BottomToolBarArea, repro_toolbar)
+            tab_layout.addWidget(run_repro_button, 0, 0, 1, 0)
+            tab_layout.addWidget(figures_repros[rep], 1, 0, 1, 1)
+            tab.setLayout(tab_layout)
+            self.repro_tabs.addTab(tab, f"{rep}")
 
-    def create_nix_file(self, file_path, metadata):
-        self.nix_file = nixio.File.open(
-            path=f"{file_path}", mode=nixio.FileMode.Overwrite
-        )
-        self.block = self.nix_file.create_block("recording", "testfile")
-        self.section = self.nix_file.create_section("metadata", "config.yaml")
-        for key, value in asdict(metadata).items():
-            self.section[key] = value
+    def run_repro(
+        self,
+        name_of_repro: str,
+        file_of_repro: str,
+        figures,
+        *args,
+    ):
+        self.text.appendPlainText(f"started Repro {name_of_repro}, {file_of_repro}")
 
-        self.data_array_analog1 = self.block.create_data_array(
-            "Analog1", "ndarray", shape=(1000,), dtype=nixio.DataType.Double
-        )
-        self.data_array_analog2 = self.block.create_data_array(
-            "Analog2", "ndarray", shape=(1000,), dtype=nixio.DataType.Double
+        figure_repro = figures[name_of_repro]
+        worker = Worker(
+            self.repros.run_repro,
+            name_of_repro,
+            file_of_repro,
+            figure_repro,
+            *args[-1:],
         )
+        worker.signals.result.connect(self.print_output)
+        worker.signals.finished.connect(self.thread_complete)
+        worker.signals.progress.connect(self.progress_fn)
+
+        self.threadpool.start(worker)
 
     def recenter_continously_plot(self):
         self.continously_plot.refresh()
@@ -269,7 +296,9 @@ class PyRelacs(QMainWindow):
         self.continously_plot.plot()
 
     def record(self):
-        self.create_nix_file("test.nix", self.config.metadata)
+        self.data_array_analog1, self.data_array_analog2 = (
+            self.nix_writer.create_nix_file(f"{_root}/test/", self.config.metadata)
+        )
         log.debug("Created nix file")
 
         nix_writer = Worker(
@@ -308,20 +337,9 @@ class PyRelacs(QMainWindow):
         except AttributeError:
             log.debug("Did not generate Sinus")
 
-        if hasattr(PyRelacs, "daq_device"):
+        if self.config.settings.daq:
             log.debug("Stopping DAQ")
             self.daq_producer.stop_aquisition()
-        embed()
-        exit()
-
-    def run_repro(self, n, fn):
-        self.text.appendPlainText(f"started Repro {n}, {fn}")
-        worker = Worker(self.repros.run_repro, self.nix_calibration, n, fn)
-        worker.signals.result.connect(self.print_output)
-        worker.signals.finished.connect(self.thread_complete)
-        worker.signals.progress.connect(self.progress_fn)
-
-        self.threadpool.start(worker)
 
     def add_to_textfield(self, s: str):
         self.text.appendPlainText(s)
@@ -330,7 +348,7 @@ class PyRelacs(QMainWindow):
         log.info("exit button!")
         self.stop_recording()
         self.add_to_textfield("exiting")
-        if self.config.settings.daq:
+        if self.mccdaq:
             self.mccdaq.disconnect_daq()
         log.info("closing GUI")
         self.close()

pyrelacs/ui/plots/continously.py

@@ -15,7 +15,9 @@ class Continously:
     def __init__(self, figure: pg.GraphicsLayoutWidget, buffer: CircBuffer):
         self.figure = figure
         self.buffer = buffer
-        self.last_plotted_index = 0
+        self.last_plotted_index_analog_in_0 = 0
+        self.last_plotted_index_analog_in_1 = 0
+        self.timer = QTimer()
 
     def plot(self, *args, **kwargs):
         self.figure.setBackground("w")
@@ -23,44 +25,89 @@ class Continously:
         prev_plot = self.figure.getItem(row=0, col=0)
         if prev_plot:
             self.figure.removeItem(prev_plot)
-        self.continous_ax = self.figure.addPlot(row=0, col=0)
+        self.analog_in_0 = self.figure.addPlot(row=0, col=0)
+        self.analog_in_1 = self.figure.addPlot(row=1, col=0)
 
         pen = pg.mkPen("red")
-        self.time = np.zeros(self.buffer.size)
-        self.data = np.empty(self.buffer.size)
-        self.line = self.continous_ax.plot(
-            self.time,
-            self.data,
+        self.time_analog_in_0 = np.zeros(self.buffer.size)
+        self.data_analog_in_0 = np.empty(self.buffer.size)
+        self.line_analog_in_0 = self.analog_in_0.plot(
+            self.time_analog_in_0,
+            self.data_analog_in_0,
+            pen=pen,
+            # symbol="o",
+        )
+
+        pen = pg.mkPen("red")
+        self.time_analog_in_1 = np.zeros(self.buffer.size)
+        self.data_analog_in_1 = np.empty(self.buffer.size)
+        self.line_analog_in_1 = self.analog_in_1.plot(
+            self.time_analog_in_1,
+            self.data_analog_in_1,
             pen=pen,
             # symbol="o",
         )
 
         # self.plot_index = 0
-        self.timer = QTimer()
         self.CHUNK_PLOT = int(self.buffer.samplerate / 6)
         self.PLOT_HISTORY = 500_000  # The amount of data you want to keep on screen
         self.timer.setInterval(150)
         self.timer.timeout.connect(self.update_plot)
+        self.timer.timeout.connect(self.update_plot_1)
         self.timer.start()
 
     def update_plot(self):
         current_index = self.buffer.write_index()
-        total_count = self.buffer.totalcount()
+        total_count = self.buffer.totalcount(channel=0)
 
         start_time = time.time()
-        if total_count - self.last_plotted_index >= self.CHUNK_PLOT:
+        if total_count - self.last_plotted_index_analog_in_0 >= self.CHUNK_PLOT:
             try:
                 times, items = self.buffer.read(
-                    self.last_plotted_index,
+                    self.last_plotted_index_analog_in_0,
                     extend=self.CHUNK_PLOT,
+                    channel=0,
                 )
-                self.time = np.concatenate((self.time, times))[-self.PLOT_HISTORY :]
-                self.data = np.concatenate((self.data, items))[-self.PLOT_HISTORY :]
-                self.line.setData(
-                    self.time,
-                    self.data,
+                self.time_analog_in_0 = np.concatenate((self.time_analog_in_0, times))[
+                    -self.PLOT_HISTORY :
+                ]
+                self.data_analog_in_0 = np.concatenate((self.data_analog_in_0, items))[
+                    -self.PLOT_HISTORY :
+                ]
+                self.line_analog_in_0.setData(
+                    self.time_analog_in_0,
+                    self.data_analog_in_0,
                 )
-                self.last_plotted_index += self.CHUNK_PLOT
+                self.last_plotted_index_analog_in_0 += self.CHUNK_PLOT
+            except IndexError:
+                log.error("Could not acces the data from the buffer for plotting")
+            end_time = time.time()
+            log.debug(f"total time for plotting {end_time - start_time}")
+        else:
+            pass
+
+    def update_plot_1(self):
+        total_count = self.buffer.totalcount(channel=1)
+
+        start_time = time.time()
+        if total_count - self.last_plotted_index_analog_in_1 >= self.CHUNK_PLOT:
+            try:
+                times, items = self.buffer.read(
+                    self.last_plotted_index_analog_in_1,
+                    extend=self.CHUNK_PLOT,
+                    channel=1,
+                )
+                self.time_analog_in_1 = np.concatenate((self.time_analog_in_0, times))[
+                    -self.PLOT_HISTORY :
+                ]
+                self.data_analog_in_1 = np.concatenate((self.data_analog_in_0, items))[
+                    -self.PLOT_HISTORY :
+                ]
+                self.line_analog_in_1.setData(
+                    self.time_analog_in_1,
+                    self.data_analog_in_1,
+                )
+                self.last_plotted_index_analog_in_1 += self.CHUNK_PLOT
             except IndexError:
                 log.error("Could not acces the data from the buffer for plotting")
             end_time = time.time()
@@ -70,18 +117,26 @@ class Continously:
 
     def stop_plotting(self):
         self.timer.stop()
-        total_count = self.buffer.totalcount()
-        times, items = self.buffer.read(
-            self.last_plotted_index,
-            extend=total_count - self.last_plotted_index,
-        )
-        self.time = np.concatenate((self.time, times))[-self.PLOT_HISTORY :]
-        self.data = np.concatenate((self.data, items))[-self.PLOT_HISTORY :]
-        self.line.setData(
-            self.time,
-            self.data,
-        )
-        self.last_plotted_index += total_count - self.last_plotted_index
+        if self.last_plotted_index_analog_in_0 > 0:
+            total_count = self.buffer.totalcount()
+            times, items = self.buffer.read(
+                self.last_plotted_index_analog_in_0,
+                extend=total_count - self.last_plotted_index_analog_in_0,
+            )
+            self.time_analog_in_0 = np.concatenate((self.time_analog_in_0, times))[
+                -self.PLOT_HISTORY :
+            ]
+            self.data_analog_in_0 = np.concatenate((self.data_analog_in_0, items))[
+                -self.PLOT_HISTORY :
+            ]
+            self.line_analog_in_0.setData(
+                self.time_analog_in_0,
+                self.data_analog_in_0,
+            )
+            self.last_plotted_index_analog_in_0 += (
+                total_count - self.last_plotted_index_analog_in_0
+            )
 
     def refresh(self):
-        self.continous_ax.enableAutoRange()
+        self.analog_in_0.enableAutoRange()
+        self.analog_in_1.enableAutoRange()