import os

import gradio as gr
import pandas as pd
import plotly
import plotly.graph_objects as go

from assets.color import color_dict
from assets.path import SEASON


def read_testset(season):
    return pd.read_json(os.path.join("results", SEASON[season], "test_dataset.json"))


def build_keypoint_plot(dataset):
    keypoint_set = {}
    for i, categories in enumerate(dataset['categories']):
        for category in categories:
            parent = ""
            for keypoint in category:
                if not keypoint:
                    keypoint = "未分类"
                if keypoint not in keypoint_set:
                    keypoint_set[keypoint] = {"value": 0}
                keypoint_set[keypoint]['value'] += 1
                keypoint_set[keypoint]['parent'] = parent
                keypoint_set[keypoint]['color'] = category[0] if category[0] else "未分类"
                parent = keypoint

    labels, parents, values, colors = [], [], [], []
    for k, v in keypoint_set.items():
        labels.append(k)
        parents.append(v['parent'])
        values.append(v['value'])
        colors.append(color_dict[v['color']])

    fig = go.Figure(go.Sunburst(
        labels=labels,
        parents=parents,
        values=values,
        branchvalues="total",
        insidetextorientation='radial',
        marker={"colors": colors}
    ))
    return fig


def build_difficulty_plot(dataset):
    xs = sorted(dataset['difficulty'].unique())
    ys = [len(dataset[dataset['difficulty'] == x]) for x in xs]

    fig = go.Figure([go.Bar(x=xs, y=ys, marker={"color": ys, "colorscale": "Viridis",
                                                "colorbar": {"title": "Total"}})])
    fig.update_layout(yaxis=dict(type='log'))
    return fig


def build_plot(season):
    dataset = pd.read_json(os.path.join("results", SEASON[season], "test_dataset.json"))
    return build_keypoint_plot(dataset), build_difficulty_plot(dataset)


def create_data(top_components):
    with gr.Tab("All data"):
        with gr.Row():
            all_keypoint_plot = gr.Plot(
                plotly.io.from_json(open("assets/keypoint_distribution.json", encoding="utf-8").read()),
                label="Keypoint Distribution")
            all_difficulty_plot = gr.Plot(
                plotly.io.from_json(open("assets/difficulty_distribution.json", encoding="utf-8").read()),
                label="Difficulty Distribution")
    with gr.Tab("Test Data"):
        with gr.Row():
            k_fig, d_fig = build_plot("latest")
            test_keypoint_plot = gr.Plot(k_fig, label="Keypoint Distribution")
            test_difficulty_plot = gr.Plot(d_fig, label="Difficulty Distribution")

    return {"all_keypoint": all_keypoint_plot, "all_difficulty": all_difficulty_plot,
            "test_keypoint": test_keypoint_plot, "test_difficulty": test_difficulty_plot}