Esempio n. 1
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    def init_h5file(self):

        file, curr_dir = get_new_file_name(self.settings.child('acquisition','base_path').value(), 'tttr_data')

        self.h5saver = H5Saver(save_type='custom')
        self.h5saver.init_file(update_h5=False, custom_naming=True,
                               addhoc_file_path=os.path.join(curr_dir, f'{file}.h5'),
                               metadata=dict(settings=custom_tree.parameter_to_xml_string(self.settings),
                                             format_name='timestamps'))
        self.settings.child('acquisition', 'temp_file').setValue(f'{file}.h5')
Esempio n. 2
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    def save_data(self):
        try:
            path = select_file(start_path=self.settings.child(
                'main_settings', 'base_path').value(),
                               save=True,
                               ext='h5')
            if path is not None:
                # init the file object with an addhoc name given by the user
                h5saver = H5Saver(save_type='custom')
                h5saver.init_file(update_h5=True, addhoc_file_path=path)

                # save all metadata
                settings_str = ioxml.parameter_to_xml_string(self.settings)
                settings_str = b'<All_settings>' + settings_str
                settings_str += ioxml.parameter_to_xml_string(
                    self.detector.settings) + ioxml.parameter_to_xml_string(
                        h5saver.settings) + b'</All_settings>'

                data_group = h5saver.add_data_group(
                    h5saver.raw_group,
                    group_data_type='data0D',
                    title='data from custom app',
                    settings_as_xml=settings_str)

                for dat in self.raw_data:
                    channel = h5saver.add_CH_group(data_group)
                    data_dict = dict(data=np.array(dat),
                                     x_axis=dict(data=np.linspace(
                                         0,
                                         len(dat) - 1, len(dat)),
                                                 units='pxl'))
                    h5saver.add_data(channel,
                                     data_dict=data_dict,
                                     scan_type='')

                st = 'file {:s} has been saved'.format(str(path))
                self.add_log(st)
                self.settings.child('main_settings', 'info').setValue(st)

                h5saver.close_file()

        except Exception as e:
            logger.exception(str(e))
Esempio n. 3
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    def __init__(self, dockarea=None, dashboard=None):
        """

        Parameters
        ----------
        dockarea: (dockarea) instance of the modified pyqtgraph Dockarea (see daq_utils)
        dashboard: (DashBoard) instance of the pymodaq dashboard
        """
        QLocale.setDefault(QLocale(QLocale.English, QLocale.UnitedStates))
        super().__init__()
        self.dockarea = dockarea
        self.dashboard = dashboard
        if dashboard is None:
            raise Exception('No valid dashboard initialized')
        self.mainwindow = self.dockarea.parent()
        self.wait_time = 1000

        self.logger_thread = None
        self.detector_modules = self.dashboard.detector_modules
        self.det_modules_log = []
        self.log_types = ['None', 'H5 File']
        if is_sql:
            self.log_types.append('SQL DataBase')

        self.logger = None  # should be a reference either to self.h5saver or self.dblogger depending the choice of the user
        self.h5saver = H5Saver(save_type='logger')
        if is_sql:
            self.dblogger = DbLoggerGUI(self.dashboard.preset_file.stem)
        else:
            self.dblogger = None
        self.modules_manager = ModulesManager()

        self.setupUI()
        self.setup_modules(self.dashboard.title)

        self.h5saver.settings_tree.setVisible(False)
        if is_sql:
            self.dblogger.settings_tree.setVisible(False)
Esempio n. 4
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def create_test_file(request, qtbot):
    bck = H5Saver(backend=request.param)
    filepath = f'./data/data_test_{request.param}.h5'
    bck.init_file(update_h5=True, addhoc_file_path=filepath)

    Nx = 12
    Nnavx = 5
    Nnavy = 10
    scan_shape = (Nnavx, Nnavy)
    x_axis = dict(label='this is data axis',
                  units='no units',
                  data=np.arange(Nx))
    data1D = dict(data=np.arange(Nx) * 1.0 + 7, x_axis=x_axis)

    nav_x_axis = dict(label='this is nav x axis',
                      units='x units',
                      data=np.arange(Nnavx))
    nav_y_axis = utils.Axis(label='this is nav y axis',
                            units='y units',
                            data=np.arange(Nnavy))

    d = datetime(year=2020, month=5, day=24, hour=10, minute=52, second=55)

    raw_group = bck.add_group(
        'Agroup',
        'data',
        '/',
        metadata=dict(
            date_time=d,
            author='Seb Weber',
            settings='this should be xml',
            scan_settings=b'scan binary setting',
            type='scan',
            shape=(10, 45),
            pixmap_1D=b'this should be binary png in reality',
            pixmap_2D=b'this should be another binary png in reality'))

    bck.add_data(raw_group, data1D)

    scan_group = bck.add_scan_group(
        'first scan', settings_as_xml='this should dbe xml settings')
    params = [{
        'title':
        'Main Settings:',
        'name':
        'main_settings',
        'expanded':
        False,
        'type':
        'group',
        'children': [
            {
                'title': 'DAQ type:',
                'name': 'DAQ_type',
                'type': 'list',
                'values': ['DAQ0D', 'DAQ1D', 'DAQ2D', 'DAQND'],
                'readonly': True
            },
            {
                'title': 'Detector type:',
                'name': 'detector_type',
                'type': 'str',
                'value': '',
                'readonly': True
            },
            {
                'title': 'Nviewers:',
                'name': 'Nviewers',
                'type': 'int',
                'value': 1,
                'min': 1,
                'default': 1,
                'readonly': True
            },
        ]
    }]
    settings = Parameter.create(name='settings', type='group', children=params)
    settings_xml = ctree.parameter_to_xml_string(settings)

    det_group = bck.add_det_group(scan_group,
                                  'det group',
                                  settings_as_xml=settings_xml)
    data_group = bck.add_data_group(det_group, 'data1D')
    ch_group = bck.add_CH_group(data_group)

    data = np.arange(Nx * Nnavx * Nnavy)
    data = data.reshape(Nnavx, Nnavy, Nx)
    data_dict = dict(data=data, x_axis=x_axis)

    bck.add_data(ch_group,
                 data_dict,
                 scan_type='scan2D',
                 scan_shape=scan_shape,
                 add_scan_dim=False)
    bck.add_navigation_axis(nav_x_axis.pop('data'),
                            scan_group,
                            'x_axis',
                            metadata=nav_x_axis)
    bck.add_navigation_axis(nav_y_axis.pop('data'),
                            scan_group,
                            'y_axis',
                            metadata=nav_y_axis)

    bck.logger_array.append('log1 to check')
    bck.logger_array.append('log2 to check')

    bck.close_file()
    return bck
Esempio n. 5
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def get_h5saver_scan(request, qtbot):
    return H5Saver(save_type='scan', backend=request.param)
Esempio n. 6
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def get_h5saver(get_save_type, request, qtbot):
    return H5Saver(save_type=get_save_type, backend=request.param)
Esempio n. 7
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    def save_data(self, export=False):
        try:
            if export:
                ext = 'dat'
            else:
                ext = 'h5'
            path = select_file(start_path=self.save_file_pathname,
                               save=True,
                               ext=ext)
            if not (not (path)):
                if not export:
                    h5saver = H5Saver(save_type='detector')
                    h5saver.init_file(update_h5=True,
                                      custom_naming=False,
                                      addhoc_file_path=path)

                    settings_str = b'<All_settings>' + custom_tree.parameter_to_xml_string(
                        self.settings)
                    if self.detector is not None:
                        settings_str += custom_tree.parameter_to_xml_string(
                            self.detector.settings)
                        if hasattr(self.detector.ui.viewers[0], 'roi_manager'):
                            settings_str += custom_tree.parameter_to_xml_string(
                                self.detector.ui.viewers[0].roi_manager.
                                settings)
                    settings_str += custom_tree.parameter_to_xml_string(
                        h5saver.settings)
                    settings_str += b'</All_settings>'

                    det_group = h5saver.add_det_group(h5saver.raw_group,
                                                      "Data", settings_str)
                    try:
                        self.channel_arrays = OrderedDict([])
                        data_dim = 'data1D'
                        if not h5saver.is_node_in_group(det_group, data_dim):
                            self.channel_arrays['data1D'] = OrderedDict([])
                            data_group = h5saver.add_data_group(
                                det_group, data_dim)
                            for ind_channel, data in enumerate(
                                    self.raw_data):  # list of numpy arrays
                                channel = f'CH{ind_channel:03d}'
                                channel_group = h5saver.add_CH_group(
                                    data_group, title=channel)

                                self.channel_arrays[data_dim][
                                    'parent'] = channel_group
                                self.channel_arrays[data_dim][
                                    channel] = h5saver.add_data(
                                        channel_group,
                                        dict(data=data,
                                             x_axis=self.viewer_freq_axis),
                                        scan_type='',
                                        enlargeable=False)
                        h5saver.close_file()
                    except Exception as e:
                        logger.exception(str(e))
                else:
                    data_to_save = [self.viewer_freq_axis['data']]
                    data_to_save.extend([dat for dat in self.raw_data])
                    np.savetxt(path, data_to_save, delimiter='\t')

        except Exception as e:
            logger.exception(str(e))