# General functions for filling plots with data in all report's views

from bokeh.plotting import figure
from bokeh.models import HoverTool, TapTool, CustomJS

from math import pi


def fill_dotplot(
    plot, source, data_field,
    tooltips=None, tooltips_formatters=None,
    js_tap_callback=None, server_tap_callback=None,
    lines=False,
    lower_bound=False
):

    # (Optional) Tooltip and tooltip formatters
    if tooltips is not None:
        hover = HoverTool(tooltips=tooltips, mode="vline", names=["circle"])

        if tooltips_formatters is not None:
            hover.formatters = tooltips_formatters

        plot.add_tools(hover)

    # (Optional) Add TapTool (for JS tap callback)
    if js_tap_callback is not None:
        tap = TapTool(callback=CustomJS(code=js_tap_callback))
        plot.add_tools(tap)

    # (Optional) Add segment to represent a lower bound
    if lower_bound:
        lower_segment = plot.segment(
            x0="%s_x" % data_field, y0=data_field,
            x1="%s_x" % data_field, y1="%s_lower_bound" % data_field,
            source=source, line_color="black"
        )

    # Draw dots (actually Bokeh circles)
    circle = plot.circle(
        name="circle",
        x="%s_x" % data_field, y=data_field, source=source, size=12
    )

    # (Optional) Draw lines between dots
    if lines:
        line = plot.line(x="%s_x" % data_field, y=data_field, source=source)

    # (Optional) Add server tap callback
    if server_tap_callback is not None:
        circle.data_source.selected.on_change("indices", server_tap_callback)

    # Plot appearance
    plot.xgrid.grid_line_color = None
    plot.ygrid.grid_line_color = None

    plot.yaxis[0].formatter.power_limit_high = 0
    plot.yaxis[0].formatter.power_limit_low = 0
    plot.yaxis[0].formatter.precision = 3

    plot.xaxis[0].major_label_orientation = pi / 8


def fill_boxplot(
    plot, source,
    prefix="",
    tooltips=None, tooltips_formatters=None,
    js_tap_callback=None, server_tap_callback=None
):

    # (Optional) Tooltip and tooltip formatters
    if tooltips is not None:
        hover = HoverTool(tooltips=tooltips, mode="vline", names=["full_box"])

        if tooltips_formatters is not None:
            hover.formatters = tooltips_formatters

        plot.add_tools(hover)

    # (Optional) Add TapTool (for JS tap callback)
    if js_tap_callback is not None:
        tap = TapTool(callback=CustomJS(code=js_tap_callback))
        plot.add_tools(tap)

    # Draw boxes (the prefix argument modifies the fields of ColumnDataSource
    # that are used)

    if prefix != "":
        prefix = "%s_" % prefix

    # Stems
    top_stem = plot.segment(
        x0="%sx" % prefix, y0="%smax" % prefix,
        x1="%sx" % prefix, y1="%squantile75" % prefix,
        source=source, line_color="black"
    )
    bottom_stem = plot.segment(
        x0="%sx" % prefix, y0="%smin" % prefix,
        x1="%sx" % prefix, y1="%squantile25" % prefix,
        source=source, line_color="black"
    )

    # Boxes
    full_box = plot.vbar(
        name="full_box",
        x="%sx" % prefix, width=0.5,
        top="%squantile75" % prefix, bottom="%squantile25" % prefix,
        source=source, line_color="black"
    )
    bottom_box = plot.vbar(
        x="%sx" % prefix, width=0.5,
        top="%squantile50" % prefix, bottom="%squantile25" % prefix,
        source=source, line_color="black"
    )

    # Mu dot
    mu_dot = plot.dot(
        x="%sx" % prefix, y="%smu" % prefix, size=30, source=source,
        color="black"
    )

    # (Optional) Add server tap callback
    if server_tap_callback is not None:
        top_stem.data_source.selected.on_change("indices", server_tap_callback)
        bottom_stem.data_source.selected.on_change(
            "indices", server_tap_callback)

        full_box.data_source.selected.on_change("indices", server_tap_callback)
        bottom_box.data_source.selected.on_change(
            "indices", server_tap_callback)

        mu_dot.data_source.selected.on_change("indices", server_tap_callback)

    # Plot appearance
    plot.xgrid.grid_line_color = None
    plot.ygrid.grid_line_color = None

    plot.yaxis[0].formatter.power_limit_high = 0
    plot.yaxis[0].formatter.power_limit_low = 0
    plot.yaxis[0].formatter.precision = 3

    plot.xaxis[0].major_label_orientation = pi / 8