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How to use _display_extra method in avocado

Best Python code snippet using avocado_python

scan_info_helper.py

Source:scan_info_helper.py

...504    plotselect: Optional[List[str]]505    """List of name selected by plot select"""506    plotselect_time: Optional[int]507    """Time from `time.time()` of the last plotselect"""508def parse_display_extra(scan_info: Dict) -> DisplayExtra:509    """Return the list of the displayed channels stored in the scan"""510    def parse_optional_list_of_string(data, name):511        """Sanitize data from scan_info protocol"""512        if data is None:513            return None514        if not isinstance(data, list):515            _logger.warning("%s is not a list: Key ignored", name)516            return None517        if not all([isinstance(i, str) for i in data]):518            _logger.warning("%s must only contains strings: Key ignored", name)519            return None520        return data521    display_extra = scan_info.get("_display_extra", None)522    if display_extra is not None:523        raw = display_extra.get("displayed_channels", None)524        displayed_channels = parse_optional_list_of_string(525            raw, "_display_extra.displayed_channels"526        )527        raw = display_extra.get("plotselect", None)528        plotselect = parse_optional_list_of_string(raw, "_display_extra.plotselect")529        plotselect_time = display_extra.get("plotselect_time", None)530    else:531        displayed_channels = None532        plotselect = None533        plotselect_time = None534    return DisplayExtra(displayed_channels, plotselect, plotselect_time)535def removed_same_plots(plots, remove_plots) -> List[plot_model.Plot]:536    """Returns plots from an initial list of `plots` in which same plots was537    removed."""538    if remove_plots == []:539        return list(plots)540    result = []541    for p in plots:542        for p2 in remove_plots:543            if p.hasSameTarget(p2):544                break545        else:546            result.append(p)547            continue548    return result549def create_plot_model(550    scan_info: Dict, scan: Optional[scan_model.Scan] = None551) -> List[plot_model.Plot]:552    """Create plot models from a scan_info.553    If a `plots` key exists from the `scan_info`, scatter and curve plots will554    created following this description. Else, plots will be inferred from the555    acquisition chain.556    Finally the selection is updated using `_display_extra` field. This should557    be removed a one point.558    Special kind of plots depending on devices and data kind, like Lima, MCAs559    and 1D data will always be inferred.560    """561    if scan is None:562        scan = create_scan_model(scan_info)563    if "plots" in scan_info:564        plots = read_plot_models(scan_info)565        for plot in plots:566            _select_default_counter(scan, plot)567        def contains_default_plot_kind(plots, plot):568            """Returns true if the list contain a default plot for this kind."""569            for p in plots:570                if p.hasSameTarget(plot):571                    return True572            return False573        aq_plots = infer_plot_models(scan)574        for plot in aq_plots:575            if isinstance(576                plot, (plot_item_model.CurvePlot, plot_item_model.ScatterPlot)577            ):578                # This kind of plots are already constrained by the `plots` key579                continue580            if not contains_default_plot_kind(plots, plot):581                plots.append(plot)582    else:583        plots = infer_plot_models(scan)584    def filter_with_scan_content(channel_names, scan):585        if scan is None:586            return channel_names587        if channel_names is None:588            return channel_names589        # Filter selection by available channels590        intersection = set(channel_names) & set(scan.getChannelNames())591        if len(channel_names) != len(intersection):592            # Remove missing without breaking the order593            for name in list(channel_names):594                if name not in intersection:595                    channel_names.remove(name)596                    _logger.warning(597                        "Skip display of channel '%s' from scan_info. Not part of the scan",598                        name,599                    )600            if len(channel_names) == 0:601                channel_names = None602        return channel_names603    display_extra = parse_display_extra(scan_info)604    displayed_channels = filter_with_scan_content(605        display_extra.displayed_channels, scan606    )607    for plot in plots:608        channel_names = None609        if isinstance(plot, plot_item_model.CurvePlot):610            if displayed_channels is None:611                channel_names = filter_with_scan_content(display_extra.plotselect, scan)612            else:613                channel_names = displayed_channels614        elif isinstance(plot, plot_item_model.ScatterPlot):615            if displayed_channels:616                channel_names = displayed_channels617        if channel_names:...

test_manager.py

Source:test_manager.py

1"""Testing manager module."""2import copy3from bliss.flint.manager.manager import ManageMainBehaviours4from bliss.flint.model import flint_model5from bliss.flint.model import plot_item_model6from bliss.flint.widgets.curve_plot import CurvePlotWidget7from bliss.flint.helper import scan_info_helper8from bliss.flint.helper import model_helper9from tests.qt.flint.factory import ScanInfoFactory10def _create_loopscan_scan_info():11    factory = ScanInfoFactory()12    factory.add_device(root_id="timer", device_id="timer")13    factory.add_channel(channel_id="timer:elapsed_time", dim=0, unit="s")14    factory.add_channel(channel_id="timer:epoch", dim=0, unit="s")15    factory.add_device(root_id="timer", device_id="diode", triggered_by="timer")16    factory.add_channel(channel_id="diode:diode1", dim=0)17    factory.add_channel(channel_id="diode:diode2", dim=0)18    factory["type"] = "loopscan"19    return factory.scan_info()20def _create_ascan_scan_info(master_name, extra_name=None):21    factory = ScanInfoFactory()22    factory.add_device(root_id="ascan", device_id="master")23    factory.add_channel(channel_id=master_name, device_id="master", dim=0)24    factory.add_device(root_id="ascan", device_id="slave", triggered_by="master")25    factory.add_channel(26        channel_id="timer:elapsed_time", device_id="slave", dim=0, unit="s"27    )28    factory.add_channel(channel_id="timer:epoch", device_id="slave", dim=0, unit="s")29    factory.add_channel(channel_id="diode:diode1", device_id="slave", dim=0)30    factory.add_channel(channel_id="diode:diode2", device_id="slave", dim=0)31    if extra_name is not None:32        factory.add_channel(channel_id=extra_name, device_id="master", dim=0)33    factory["type"] = "ascan"34    return factory.scan_info()35def _create_lima_scan_info(include_roi2):36    """37    Simulate a scan containing a lima detector with ROIs.38    """39    factory = ScanInfoFactory()40    factory.add_device(root_id="timer", device_id="timer")41    factory.add_channel(channel_id="timer:elapsed_time", dim=0)42    factory.add_channel(channel_id="timer:epoch", dim=0)43    rois = {"roi1": {"kind": "rect", "x": 190, "y": 110, "width": 600, "height": 230}}44    if include_roi2:45        rois["roi2"] = {46            "kind": "arc",47            "cx": 487.0,48            "cy": 513.0,49            "r1": 137.0,50            "r2": 198.0,51            "a1": -172.0,52            "a2": -300.0,53        }54    factory.add_lima_device(55        device_id="beamviewer",56        root_id="timer",57        triggered_by="timer",58        image=True,59        rois=rois,60    )61    factory.add_channel(channel_id="beamviewer:roi_counters:roi1_sum", dim=0)62    if include_roi2:63        factory.add_channel(channel_id="beamviewer:roi_counters:roi2_sum", dim=0)64    scan_info = factory.scan_info()65    return scan_info66def test_curve_plot__from_loopscan_to_ascan(local_flint):67    """68    Test plot state with consecutive scans69    - Create a loopscan -> elapsed_time should be the axis70    - Then create a ascan -> the motor should be the axis71    """72    flint = flint_model.FlintState()73    workspace = flint_model.Workspace()74    flint.setWorkspace(workspace)75    widget = CurvePlotWidget()76    workspace.addWidget(widget)77    manager = ManageMainBehaviours()78    manager.setFlintModel(flint)79    loopscan_info = _create_loopscan_scan_info()80    scan = scan_info_helper.create_scan_model(loopscan_info)81    plots = scan_info_helper.create_plot_model(loopscan_info, scan)82    manager.updateScanAndPlots(scan, plots)83    ascan_info = _create_ascan_scan_info("axis:sx")84    scan = scan_info_helper.create_scan_model(ascan_info)85    plots = scan_info_helper.create_plot_model(ascan_info, scan)86    manager.updateScanAndPlots(scan, plots)87    model = widget.plotModel()88    item = model.items()[0]89    assert item.xChannel().name() == "axis:sx"90def test_curve_plot__user_selection(local_flint):91    """92    Test plot state with consecutive scans and a user selection in between93    We expect the user selection to be restored94    """95    flint = flint_model.FlintState()96    workspace = flint_model.Workspace()97    flint.setWorkspace(workspace)98    widget = CurvePlotWidget()99    workspace.addWidget(widget)100    manager = ManageMainBehaviours()101    manager.setFlintModel(flint)102    loopscan_info = _create_loopscan_scan_info()103    scan = scan_info_helper.create_scan_model(loopscan_info)104    plots = scan_info_helper.create_plot_model(loopscan_info, scan)105    plot = [p for p in plots if isinstance(p, plot_item_model.CurvePlot)][0]106    manager.updateWidgetWithPlot(widget, scan, plot, useDefaultPlot=False)107    model = widget.plotModel()108    assert len(model.items()) == 1109    # user selection110    model_helper.updateDisplayedChannelNames(111        plot, scan, ["diode:diode1", "diode:diode2"]112    )113    plot.tagUserEditTime()114    ascan_info = _create_ascan_scan_info("axis:sx")115    scan = scan_info_helper.create_scan_model(ascan_info)116    plots = scan_info_helper.create_plot_model(ascan_info, scan)117    plot = [p for p in plots if isinstance(p, plot_item_model.CurvePlot)][0]118    manager.updateWidgetWithPlot(widget, scan, plot, useDefaultPlot=False)119    model = widget.plotModel()120    assert len(model.items()) == 2121def test_curve_plot__ascan_axis_updated(local_flint):122    """123    Test plot state with consecutive scans124    - Create a ascan -> sx should be the axis125    - Then create a ascan -> sy should be the axis126    """127    flint = flint_model.FlintState()128    workspace = flint_model.Workspace()129    flint.setWorkspace(workspace)130    widget = CurvePlotWidget()131    workspace.addWidget(widget)132    manager = ManageMainBehaviours()133    manager.setFlintModel(flint)134    ascan_info = _create_ascan_scan_info("axis:sx", "axis:sy")135    scan = scan_info_helper.create_scan_model(ascan_info)136    plots = scan_info_helper.create_plot_model(ascan_info, scan)137    manager.updateScanAndPlots(scan, plots)138    model = widget.plotModel()139    item = model.items()[0]140    assert item.xChannel().name() == "axis:sx"141    ascan_info = _create_ascan_scan_info("axis:sy", "axis:sx")142    scan = scan_info_helper.create_scan_model(ascan_info)143    plots = scan_info_helper.create_plot_model(ascan_info, scan)144    manager.updateScanAndPlots(scan, plots)145    model = widget.plotModel()146    item = model.items()[0]147    assert item.xChannel().name() == "axis:sy"148def test_curve_plot__enforced_channel_from_scan_info(local_flint):149    """150    Test a new plot with enforced channel (plotinit)151    We expect the channel from the scan_info to be used,152    anyway the user selection was done on the previous plot153    """154    flint = flint_model.FlintState()155    workspace = flint_model.Workspace()156    flint.setWorkspace(workspace)157    widget = CurvePlotWidget()158    workspace.addWidget(widget)159    manager = ManageMainBehaviours()160    manager.setFlintModel(flint)161    ascan_info = _create_ascan_scan_info("axis:sx", "axis:sy")162    scan = scan_info_helper.create_scan_model(ascan_info)163    plots = scan_info_helper.create_plot_model(ascan_info, scan)164    manager.updateScanAndPlots(scan, plots)165    enforced_channel = "axis:sy"166    # Enforce a user selection167    plotModel = widget.plotModel()168    plotModel.tagUserEditTime()169    item = plotModel.items()[0]170    # Make sure the following test have meaning171    assert item.yChannel().name() != enforced_channel172    ascan_info = _create_ascan_scan_info("axis:sy", "axis:sx")173    ascan_info["_display_extra"] = {"displayed_channels": [enforced_channel]}174    scan = scan_info_helper.create_scan_model(ascan_info)175    plots = scan_info_helper.create_plot_model(ascan_info, scan)176    manager.updateScanAndPlots(scan, plots)177    plotModel = widget.plotModel()178    item = plotModel.items()[0]179    assert item.yChannel().name() == enforced_channel180def test_image_plot_with_new_roi(local_flint):181    """Test the resulted image plot when a new ROI is part of the scan.182    We expect:183    - The previous ROI to still use the same config184    - The new ROI to be displayed.185    """186    flint = flint_model.FlintState()187    workspace = flint_model.Workspace()188    flint.setWorkspace(workspace)189    widget = CurvePlotWidget()190    workspace.addWidget(widget)191    manager = ManageMainBehaviours()192    manager.setFlintModel(flint)193    scan_info1 = _create_lima_scan_info(include_roi2=False)194    scan = scan_info_helper.create_scan_model(scan_info1)195    plots = scan_info_helper.create_plot_model(scan_info1, scan)196    plot = [p for p in plots if isinstance(p, plot_item_model.ImagePlot)][0]197    manager.updateWidgetWithPlot(widget, scan, plot, useDefaultPlot=True)198    plotModel = widget.plotModel()199    assert len(plotModel.items()) == 2  # image + ROI200    roiItem = [i for i in plotModel.items() if isinstance(i, plot_item_model.RoiItem)][201        0202    ]203    roiItem.setVisible(False)204    scan_info2 = _create_lima_scan_info(include_roi2=True)205    scan = scan_info_helper.create_scan_model(scan_info2)206    plots = scan_info_helper.create_plot_model(scan_info2, scan)207    plot = [p for p in plots if isinstance(p, plot_item_model.ImagePlot)][0]208    manager.updateWidgetWithPlot(widget, scan, plot, useDefaultPlot=True)209    plotModel = widget.plotModel()210    assert len(plotModel.items()) == 3  # image + ROI * 2211    roiItems = [i for i in plotModel.items() if isinstance(i, plot_item_model.RoiItem)]212    rois = {r.name(): r.isVisible() for r in roiItems}...

list.py

Source:list.py

...63        # for this:64        matrix = self._prepare_matrix_for_display(matrix, verbose)65        for line in iter_tabular_output(matrix, header=header, strip=True):66            LOG_UI.debug(line)67        self._display_extra(suite, verbose)68    @staticmethod69    def _display_extra(suite, verbose=True):70        """Display extra data when in verbose mode."""71        if not verbose:72            return73        if suite.resolutions:74            resolution_header = (75                TERM_SUPPORT.header_str("Resolver"),76                TERM_SUPPORT.header_str("Reference"),77                TERM_SUPPORT.header_str("Info"),78            )79            LOG_UI.info("")80            mapping = {81                ReferenceResolutionResult.SUCCESS: TERM_SUPPORT.healthy_str,82                ReferenceResolutionResult.NOTFOUND: TERM_SUPPORT.fail_header_str,83                ReferenceResolutionResult.ERROR: TERM_SUPPORT.fail_header_str,...

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