示例#1
0
文件: images.py 项目: ncasuk/forest
 def add_row(self):
     i = self.rows
     dropdown = bokeh.models.Dropdown(
         menu=self.menu,
         label="Model/observation",
         width=230,
     )
     autolabel(dropdown)
     dropdown.on_change('value', self.on_dropdown(i))
     group = bokeh.models.CheckboxButtonGroup(labels=self.labels, width=50)
     group.on_change("active", self.on_radio(i))
     self.groups.append(group)
     row = bokeh.layouts.row(dropdown, group)
     self.column.children.insert(-1, row)
示例#2
0
    def __init__(self, color_mapper, name, number):
        self.name = name
        self.number = number
        self.palettes = bokeh.palettes.all_palettes
        self.color_mapper = color_mapper

        names = sorted(self.palettes.keys())
        menu = list(zip(names, names))
        self.names = bokeh.models.Dropdown(label="Palettes",
                                           value=self.name,
                                           menu=menu)
        autolabel(self.names)
        self.names.on_change("value", self.on_name)

        numbers = sorted(self.palettes[self.name].keys())
        self.numbers = bokeh.models.Dropdown(label="N",
                                             value=str(self.number),
                                             menu=self.numbers_menu(numbers))
        autolabel(self.numbers)
        self.numbers.on_change("value", self.on_number)

        self.reverse = False
        self.checkbox = bokeh.models.CheckboxButtonGroup(labels=["Reverse"],
                                                         active=[])
        self.checkbox.on_change("active", self.on_reverse)

        # Invisible color settings
        self.invisible_on = False
        self.low = 0
        self.invisible_checkbox = bokeh.models.CheckboxButtonGroup(
            labels=["Invisible"], active=[])
        self.invisible_checkbox.on_change("active", self.on_invisible_checkbox)
        self.invisible_input = bokeh.models.TextInput(title="Low:", value="0")
        self.invisible_input.on_change("value", self.on_invisible_input)

        self.layout = bokeh.layouts.column(self.names, self.numbers,
                                           self.checkbox,
                                           self.invisible_checkbox,
                                           self.invisible_input)
示例#3
0
文件: main.py 项目: ncasuk/forest
 def __init__(self, steps):
     self.steps = steps
     self.labels = ["T{:+}".format(int(s))
             for s in self.steps]
     self.plus = bokeh.models.Button(label="+", width=80)
     self.plus.on_click(self.on_plus)
     self.minus = bokeh.models.Button(label="-", width=80)
     self.minus.on_click(self.on_minus)
     self.dropdown = bokeh.models.Dropdown(
             label="Time step",
             menu=list(zip(self.labels, self.labels)),
             width=80)
     autolabel(self.dropdown)
     self.dropdown.on_click(self.on_dropdown)
     sizing_mode = "fixed"
     self.layout = bokeh.layouts.row(
             bokeh.layouts.column(self.minus, width=90,
                 sizing_mode=sizing_mode),
             bokeh.layouts.column(self.dropdown, width=100,
                 sizing_mode=sizing_mode),
             bokeh.layouts.column(self.plus, width=90,
                 sizing_mode=sizing_mode),
             width=300)
     super().__init__()
示例#4
0
文件: main.py 项目: ncasuk/forest
def main():
    args = parse_args.parse_args()
    database = db.Database.connect(args.database)
    with open(args.config_file) as stream:
        config = parse_args.load_config(stream)

    # Access latest files
    data.FILE_DB.sync()

    # Full screen map
    lon_range = (0, 30)
    lat_range = (0, 30)
    x_range, y_range = geo.web_mercator(
        lon_range,
        lat_range)
    figure = bokeh.plotting.figure(
        x_range=x_range,
        y_range=y_range,
        x_axis_type="mercator",
        y_axis_type="mercator",
        active_scroll="wheel_zoom")
    tile = bokeh.models.WMTSTileSource(
        url="https://maps.wikimedia.org/osm-intl/{Z}/{X}/{Y}.png",
        attribution=""
    )

    figures = [figure]
    for _ in range(2):
        f = bokeh.plotting.figure(
            x_range=figure.x_range,
            y_range=figure.y_range,
            x_axis_type="mercator",
            y_axis_type="mercator",
            active_scroll="wheel_zoom")
        figures.append(f)

    for f in figures:
        f.axis.visible = False
        f.toolbar.logo = None
        f.toolbar_location = None
        f.min_border = 0
        f.add_tile(tile)

    figure_row = bokeh.layouts.row(*figures,
            sizing_mode="stretch_both")
    figure_row.children = [figures[0]]  # Trick to keep correct sizing modes

    figure_drop = bokeh.models.Dropdown(
            label="Figure",
            menu=[(str(i), str(i)) for i in [1, 2, 3]])

    def on_change(attr, old, new):
        if int(new) == 1:
            figure_row.children = [
                    figures[0]]
        elif int(new) == 2:
            figure_row.children = [
                    figures[0],
                    figures[1]]
        elif int(new) == 3:
            figure_row.children = [
                    figures[0],
                    figures[1],
                    figures[2]]

    figure_drop.on_change("value", on_change)

    color_mapper = bokeh.models.LinearColorMapper(
            low=0,
            high=1,
            palette=bokeh.palettes.Plasma[256])
    for figure in figures:
        colorbar = bokeh.models.ColorBar(
            color_mapper=color_mapper,
            orientation="horizontal",
            background_fill_alpha=0.,
            location="bottom_center",
            major_tick_line_color="black",
            bar_line_color="black")
        figure.add_layout(colorbar, 'center')

    for name, pattern in config.patterns:
        if name not in data.LOADERS:
            locator = db.Locator(
                database.connection,
                directory=args.directory)
            loader = data.DBLoader(name, pattern, locator)
            data.add_loader(name, loader)

    renderers = {}
    viewers = {}
    for name, loader in data.LOADERS.items():
        if isinstance(loader, rdt.Loader):
            viewer = rdt.View(loader)
        elif isinstance(loader, earth_networks.Loader):
            viewer = earth_networks.View(loader)
        elif isinstance(loader, data.GPM):
            viewer = view.GPMView(loader, color_mapper)
        elif isinstance(loader, satellite.EIDA50):
            viewer = view.EIDA50(loader, color_mapper)
        else:
            viewer = view.UMView(loader, color_mapper)
        viewers[name] = viewer
        renderers[name] = [
                viewer.add_figure(f)
                for f in figures]
    artist = Artist(viewers, renderers)
    renderers = []
    for _, r in artist.renderers.items():
        renderers += r

    image_sources = []
    for name, viewer in artist.viewers.items():
        if isinstance(viewer, (view.UMView, view.GPMView, view.EIDA50)):
            image_sources.append(viewer.source)

    # image_loaders = []
    # for name, loader in data.LOADERS.items():
    #     if isinstance(loader, (data.UMLoader, data.GPM)):
    #         image_loaders.append(loader)

    # Lakes
    for figure in figures:
        add_feature(figure, data.LAKES, color="lightblue")

    features = []
    for figure in figures:
        features += [
            add_feature(figure, data.COASTLINES),
            add_feature(figure, data.BORDERS)]

    # Disputed borders
    for figure in figures:
        add_feature(figure, data.DISPUTED, color="red")

    toggle = bokeh.models.CheckboxButtonGroup(
            labels=["Coastlines"],
            active=[0],
            width=135)

    def on_change(attr, old, new):
        if len(new) == 1:
            for feature in features:
                feature.visible = True
        else:
            for feature in features:
                feature.visible = False

    toggle.on_change("active", on_change)

    dropdown = bokeh.models.Dropdown(
            label="Color",
            menu=[
                ("Black", "black"),
                ("White", "white")],
            width=50)
    autolabel(dropdown)

    def on_change(attr, old, new):
        for feature in features:
            feature.glyph.line_color = new

    dropdown.on_change("value", on_change)

    slider = bokeh.models.Slider(
        start=0,
        end=1,
        step=0.1,
        value=1.0,
        show_value=False)
    custom_js = bokeh.models.CustomJS(
            args=dict(renderers=renderers),
            code="""
            renderers.forEach(function (r) {
                r.glyph.global_alpha = cb_obj.value
            })
            """)
    slider.js_on_change("value", custom_js)

    colors_controls = colors.Controls(
            color_mapper, "Plasma", 256)

    mapper_limits = MapperLimits(image_sources, color_mapper)

    menu = [(n, n) for n in data.FILE_DB.names]
    for k, _ in config.patterns:
        menu.append((k, k))

    image_controls = images.Controls(menu)

    def on_change(attr, old, new):
        if int(new) == 1:
            image_controls.labels = ["Show"]
        elif int(new) == 2:
            image_controls.labels = ["L", "R"]
        elif int(new) == 3:
            image_controls.labels = ["L", "C", "R"]

    figure_drop.on_change("value", on_change)

    image_controls.subscribe(artist.on_visible)

    div = bokeh.models.Div(text="", width=10)
    border_row = bokeh.layouts.row(
        bokeh.layouts.column(toggle),
        bokeh.layouts.column(div),
        bokeh.layouts.column(dropdown))

    # Add prototype database controls
    controls = db.Controls(database, patterns=config.patterns)
    locator = db.Locator(
        database.connection,
        directory=args.directory)
    text = db.View(text="", locator=locator)
    controls.subscribe(text.on_state)
    controls.subscribe(artist.on_state)

    tabs = bokeh.models.Tabs(tabs=[
        bokeh.models.Panel(
            child=bokeh.layouts.column(
                bokeh.models.Div(text="Navigate:"),
                controls.layout,
                bokeh.models.Div(text="Compare:"),
                bokeh.layouts.row(figure_drop),
                image_controls.column,
                text.div),
            title="Control"
        ),
        bokeh.models.Panel(
            child=bokeh.layouts.column(
                border_row,
                bokeh.layouts.row(slider),
                colors_controls.layout,
                bokeh.layouts.row(mapper_limits.low_input),
                bokeh.layouts.row(mapper_limits.high_input),
                bokeh.layouts.row(mapper_limits.checkbox),
                ),
            title="Settings")
        ])

    # Series sub-figure widget
    series_figure = bokeh.plotting.figure(
                plot_width=400,
                plot_height=200,
                x_axis_type="datetime",
                toolbar_location=None,
                border_fill_alpha=0)
    series_figure.toolbar.logo = None
    series_row = bokeh.layouts.row(
            series_figure,
            name="series")

    def place_marker(figure, source):
        figure.circle(
                x="x",
                y="y",
                color="red",
                source=source)
        def cb(event):
            source.data = {
                    "x": [event.x],
                    "y": [event.y]}
        return cb

    marker_source = bokeh.models.ColumnDataSource({
            "x": [],
            "y": []})

    series = Series(series_figure)
    controls.subscribe(series.on_state)
    for f in figures:
        f.on_event(bokeh.events.Tap, series.on_tap)
        f.on_event(bokeh.events.Tap, place_marker(f, marker_source))


    # Minimise controls to ease navigation
    compact_button = bokeh.models.Button(
            label="Compact")
    compact_minus = bokeh.models.Button(label="-", width=50)
    compact_plus = bokeh.models.Button(label="+", width=50)
    compact_navigation = bokeh.layouts.column(
            compact_button,
            bokeh.layouts.row(
                compact_minus,
                compact_plus,
                width=100))
    control_root = bokeh.layouts.column(
            compact_button,
            tabs,
            name="controls")

    display = "large"
    def on_compact():
        nonlocal display
        if display == "large":
            control_root.height = 100
            control_root.width = 120
            compact_button.width = 100
            compact_button.label = "Expand"
            control_root.children = [
                    compact_navigation]
            display = "compact"
        else:
            control_root.height = 500
            control_root.width = 300
            compact_button.width = 300
            compact_button.label = "Compact"
            control_root.children = [compact_button, tabs]
            display = "large"

    compact_button.on_click(on_compact)

    document = bokeh.plotting.curdoc()
    document.title = "FOREST"
    document.add_root(control_root)
    document.add_root(series_row)
    document.add_root(figure_row)