r"""
Installation requirements:
    pip install trame trame-vuetify trame-components trame-plotly
"""

import plotly.graph_objects as go
import plotly.figure_factory as ff
from plotly.subplots import make_subplots

from trame.app import get_server
from trame.ui.vuetify import SinglePageLayout
from trame.widgets import vuetify, plotly, trame

import numpy as np
import pandas as pd

# -----------------------------------------------------------------------------
# Trame setup
# -----------------------------------------------------------------------------

server = get_server(client_type="vue2")
state, ctrl = server.state, server.controller

# -----------------------------------------------------------------------------
# Charts handling
# -----------------------------------------------------------------------------

contour_raw_data = pd.read_json(
    "https://raw.githubusercontent.com/plotly/datasets/master/contour_data.json"
)
scatter_raw_data = pd.read_json(
    "https://raw.githubusercontent.com/plotly/datasets/master/scatter_data.json"
)
polar_data = pd.read_csv(
    "https://raw.githubusercontent.com/plotly/datasets/master/polar_dataset.csv"
)

scatter_data = scatter_raw_data["Data"]


def clean_data(data_in):
    """
    Cleans data in a format which can be conveniently
    used for drawing traces. Takes a dictionary as the
    input, and returns a list in the following format:

    input = {'key': ['a b c']}
    output = [key, [a, b, c]]
    """
    key = list(data_in.keys())[0]
    data_out = [key]
    for i in data_in[key]:
        data_out.append(list(map(float, i.split(" "))))

    return data_out


def create_ternary_fig(width=300, height=300, **kwargs):
    contour_dict = contour_raw_data["Data"]

    # Defining a colormap:
    colors = [
        "#8dd3c7",
        "#ffffb3",
        "#bebada",
        "#fb8072",
        "#80b1d3",
        "#fdb462",
        "#b3de69",
        "#fccde5",
        "#d9d9d9",
        "#bc80bd",
    ]
    colors_iterator = iter(colors)

    fig = go.Figure()

    for raw_data in contour_dict:
        data = clean_data(raw_data)

        a = [inner_data[0] for inner_data in data[1:]]
        a.append(data[1][0])  # Closing the loop

        b = [inner_data[1] for inner_data in data[1:]]
        b.append(data[1][1])  # Closing the loop

        c = [inner_data[2] for inner_data in data[1:]]
        c.append(data[1][2])  # Closing the loop

        fig.add_trace(
            go.Scatterternary(
                text=data[0],
                a=a,
                b=b,
                c=c,
                mode="lines",
                line=dict(color="#444", shape="spline"),
                fill="toself",
                fillcolor=colors_iterator.__next__(),
            )
        )

    fig.update_layout(
        margin=dict(l=50, r=50, t=50, b=50),
        width=width,
        height=height,
    )
    return fig


def create_polar_fig(width=300, height=300, **kwargs):
    fig = go.Figure()
    fig.add_trace(
        go.Scatterpolar(
            r=polar_data["x1"].tolist(),
            theta=polar_data["y"].tolist(),
            mode="lines",
            name="Figure 8",
            line_color="peru",
        )
    )
    fig.add_trace(
        go.Scatterpolar(
            r=polar_data["x2"].tolist(),
            theta=polar_data["y"].tolist(),
            mode="lines",
            name="Cardioid",
            line_color="darkviolet",
        )
    )
    fig.add_trace(
        go.Scatterpolar(
            r=polar_data["x3"].tolist(),
            theta=polar_data["y"].tolist(),
            mode="lines",
            name="Hypercardioid",
            line_color="deepskyblue",
        )
    )

    fig.update_layout(
        # title = 'Mic Patterns',
        margin=dict(l=20, r=20, t=20, b=20),
        showlegend=False,
        width=width,
        height=height,
    )
    return fig


def create_streamline_fig(width=100, height=100, **kwargs):
    x = np.linspace(-3, 3, 100)
    y = np.linspace(-3, 3, 100)
    Y, X = np.meshgrid(x, y)
    u = -1 - X**2 + Y
    v = 1 + X - Y**2

    # Create streamline figure
    fig = ff.create_streamline(
        x.tolist(),
        y.tolist(),
        u.tolist(),
        v.tolist(),
        arrow_scale=0.1,
    )
    fig.update_layout(
        # title = 'Mic Patterns',
        margin=dict(l=20, r=20, t=10, b=10),
        showlegend=False,
        width=width,
        height=height,
    )
    return fig


def create_contour_fig(width=100, height=100, **kwargs):
    fig = go.Figure(
        data=go.Contour(
            z=[
                [2, 4, 7, 12, 13, 14, 15, 16],
                [3, 1, 6, 11, 12, 13, 16, 17],
                [4, 2, 7, 7, 11, 14, 17, 18],
                [5, 3, 8, 8, 13, 15, 18, 19],
                [7, 4, 10, 9, 16, 18, 20, 19],
                [9, 10, 5, 27, 23, 21, 21, 21],
                [11, 14, 17, 26, 25, 24, 23, 22],
            ],
            contours={
                "coloring": "heatmap",
                "showlabels": True,
                "labelfont": {
                    "size": 12,
                    "color": "black",
                },
            },
            line_smoothing=1,
        )
    )
    fig.update_layout(
        # title = 'Mic Patterns',
        margin=dict(l=20, r=20, t=10, b=10),
        showlegend=False,
        width=width,
        height=height,
    )
    return fig


# -----------------------------------------------------------------------------
# Callbacks
# -----------------------------------------------------------------------------


@state.change("contour_size")
def update_contour_size(contour_size, **kwargs):
    if contour_size is None:
        return

    ctrl.update_contour(create_contour_fig(**contour_size.get("size")))


@state.change("stream_size")
def update_stream_size(stream_size, **kwargs):
    if stream_size is None:
        return

    ctrl.update_stream(create_streamline_fig(**stream_size.get("size")))


@state.change("polar_size")
def update_polar_size(polar_size, **kwargs):
    if polar_size is None:
        return

    ctrl.update_polar(create_polar_fig(**polar_size.get("size")))


@state.change("ternary_size")
def update_stream_size(ternary_size, **kwargs):
    if ternary_size is None:
        return

    ctrl.update_ternary(create_ternary_fig(**ternary_size.get("size")))


# -----------------------------------------------------------------------------
# GUI
# -----------------------------------------------------------------------------


state.trame__title = "Charts"

with SinglePageLayout(server) as layout:
    layout.title.set_text("Many charts")

    with layout.content:
        with vuetify.VContainer(fluid=True, classes="fill-height"):
            with vuetify.VRow(style="height: 50%;"):
                with vuetify.VCol():
                    with trame.SizeObserver("polar_size"):
                        ctrl.update_polar = plotly.Figure(
                            display_mode_bar=("false",),
                        ).update
                with vuetify.VCol():
                    with trame.SizeObserver("ternary_size"):
                        ctrl.update_ternary = plotly.Figure(
                            display_mode_bar=("false",),
                        ).update
            with vuetify.VRow(style="height: 50%;"):
                with vuetify.VCol():
                    with trame.SizeObserver("contour_size"):
                        ctrl.update_contour = plotly.Figure(
                            display_mode_bar=("false",),
                        ).update
                with vuetify.VCol():
                    with trame.SizeObserver("stream_size"):
                        ctrl.update_stream = plotly.Figure(
                            display_mode_bar=("false",),
                        ).update

# -----------------------------------------------------------------------------
# Main
# -----------------------------------------------------------------------------

if __name__ == "__main__":
    server.start()

r"""
Installation requirements:
    pip install trame trame-vuetify trame-components trame-plotly
"""

import plotly.graph_objects as go
import plotly.figure_factory as ff
from plotly.subplots import make_subplots

from trame.app import get_server
from trame.ui.vuetify import SinglePageLayout
from trame.widgets import vuetify, plotly, trame

import numpy as np
import pandas as pd

# -----------------------------------------------------------------------------
# Trame setup
# -----------------------------------------------------------------------------

server = get_server(client_type="vue2")
state, ctrl = server.state, server.controller

# -----------------------------------------------------------------------------
# Charts handling
# -----------------------------------------------------------------------------

contour_raw_data = pd.read_json(
    "https://raw.githubusercontent.com/plotly/datasets/master/contour_data.json"
)
scatter_raw_data = pd.read_json(
    "https://raw.githubusercontent.com/plotly/datasets/master/scatter_data.json"
)
polar_data = pd.read_csv(
    "https://raw.githubusercontent.com/plotly/datasets/master/polar_dataset.csv"
)

scatter_data = scatter_raw_data["Data"]


def clean_data(data_in):
    """
    Cleans data in a format which can be conveniently
    used for drawing traces. Takes a dictionary as the
    input, and returns a list in the following format:

    input = {'key': ['a b c']}
    output = [key, [a, b, c]]
    """
    key = list(data_in.keys())[0]
    data_out = [key]
    for i in data_in[key]:
        data_out.append(list(map(float, i.split(" "))))

    return data_out


def create_ternary_fig(width=300, height=300, **kwargs):
    contour_dict = contour_raw_data["Data"]

    # Defining a colormap:
    colors = [
        "#8dd3c7",
        "#ffffb3",
        "#bebada",
        "#fb8072",
        "#80b1d3",
        "#fdb462",
        "#b3de69",
        "#fccde5",
        "#d9d9d9",
        "#bc80bd",
    ]
    colors_iterator = iter(colors)

    fig = go.Figure()

    for raw_data in contour_dict:
        data = clean_data(raw_data)

        a = [inner_data[0] for inner_data in data[1:]]
        a.append(data[1][0])  # Closing the loop

        b = [inner_data[1] for inner_data in data[1:]]
        b.append(data[1][1])  # Closing the loop

        c = [inner_data[2] for inner_data in data[1:]]
        c.append(data[1][2])  # Closing the loop

        fig.add_trace(
            go.Scatterternary(
                text=data[0],
                a=a,
                b=b,
                c=c,
                mode="lines",
                line=dict(color="#444", shape="spline"),
                fill="toself",
                fillcolor=colors_iterator.__next__(),
            )
        )

    fig.update_layout(
        margin=dict(l=50, r=50, t=50, b=50),
        width=width,
        height=height,
    )
    return fig


def create_polar_fig(width=300, height=300, **kwargs):
    fig = go.Figure()
    fig.add_trace(
        go.Scatterpolar(
            r=polar_data["x1"].tolist(),
            theta=polar_data["y"].tolist(),
            mode="lines",
            name="Figure 8",
            line_color="peru",
        )
    )
    fig.add_trace(
        go.Scatterpolar(
            r=polar_data["x2"].tolist(),
            theta=polar_data["y"].tolist(),
            mode="lines",
            name="Cardioid",
            line_color="darkviolet",
        )
    )
    fig.add_trace(
        go.Scatterpolar(
            r=polar_data["x3"].tolist(),
            theta=polar_data["y"].tolist(),
            mode="lines",
            name="Hypercardioid",
            line_color="deepskyblue",
        )
    )

    fig.update_layout(
        # title = 'Mic Patterns',
        margin=dict(l=20, r=20, t=20, b=20),
        showlegend=False,
        width=width,
        height=height,
    )
    return fig


def create_streamline_fig(width=100, height=100, **kwargs):
    x = np.linspace(-3, 3, 100)
    y = np.linspace(-3, 3, 100)
    Y, X = np.meshgrid(x, y)
    u = -1 - X**2 + Y
    v = 1 + X - Y**2

    # Create streamline figure
    fig = ff.create_streamline(
        x.tolist(),
        y.tolist(),
        u.tolist(),
        v.tolist(),
        arrow_scale=0.1,
    )
    fig.update_layout(
        # title = 'Mic Patterns',
        margin=dict(l=20, r=20, t=10, b=10),
        showlegend=False,
        width=width,
        height=height,
    )
    return fig


def create_contour_fig(width=100, height=100, **kwargs):
    fig = go.Figure(
        data=go.Contour(
            z=[
                [2, 4, 7, 12, 13, 14, 15, 16],
                [3, 1, 6, 11, 12, 13, 16, 17],
                [4, 2, 7, 7, 11, 14, 17, 18],
                [5, 3, 8, 8, 13, 15, 18, 19],
                [7, 4, 10, 9, 16, 18, 20, 19],
                [9, 10, 5, 27, 23, 21, 21, 21],
                [11, 14, 17, 26, 25, 24, 23, 22],
            ],
            contours={
                "coloring": "heatmap",
                "showlabels": True,
                "labelfont": {
                    "size": 12,
                    "color": "black",
                },
            },
            line_smoothing=1,
        )
    )
    fig.update_layout(
        # title = 'Mic Patterns',
        margin=dict(l=20, r=20, t=10, b=10),
        showlegend=False,
        width=width,
        height=height,
    )
    return fig


# -----------------------------------------------------------------------------
# Callbacks
# -----------------------------------------------------------------------------


@state.change("contour_size")
def update_contour_size(contour_size, **kwargs):
    if contour_size is None:
        return

    ctrl.update_contour(create_contour_fig(**contour_size.get("size")))


@state.change("stream_size")
def update_stream_size(stream_size, **kwargs):
    if stream_size is None:
        return

    ctrl.update_stream(create_streamline_fig(**stream_size.get("size")))


@state.change("polar_size")
def update_polar_size(polar_size, **kwargs):
    if polar_size is None:
        return

    ctrl.update_polar(create_polar_fig(**polar_size.get("size")))


@state.change("ternary_size")
def update_stream_size(ternary_size, **kwargs):
    if ternary_size is None:
        return

    ctrl.update_ternary(create_ternary_fig(**ternary_size.get("size")))


# -----------------------------------------------------------------------------
# GUI
# -----------------------------------------------------------------------------


state.trame__title = "Charts"

with SinglePageLayout(server) as layout:
    layout.title.set_text("Many charts")

    with layout.content:
        with vuetify.VContainer(fluid=True, classes="fill-height"):
            with vuetify.VRow(style="height: 50%;"):
                with vuetify.VCol():
                    with trame.SizeObserver("polar_size"):
                        ctrl.update_polar = plotly.Figure(
                            display_mode_bar=("false",),
                        ).update
                with vuetify.VCol():
                    with trame.SizeObserver("ternary_size"):
                        ctrl.update_ternary = plotly.Figure(
                            display_mode_bar=("false",),
                        ).update
            with vuetify.VRow(style="height: 50%;"):
                with vuetify.VCol():
                    with trame.SizeObserver("contour_size"):
                        ctrl.update_contour = plotly.Figure(
                            display_mode_bar=("false",),
                        ).update
                with vuetify.VCol():
                    with trame.SizeObserver("stream_size"):
                        ctrl.update_stream = plotly.Figure(
                            display_mode_bar=("false",),
                        ).update

# -----------------------------------------------------------------------------
# Main
# -----------------------------------------------------------------------------

if __name__ == "__main__":
    server.start()