from config import charts_demo_host

from pywebio.output import put_markdown, put_row, put_html
from pywebio.session import info as session_info

index_md = r"""### Basic demo

 - [BMI calculation](./bmi): Calculating Body Mass Index based on height and weight
 - [Online chat room](./chat_room): Chat with everyone currently online (using less than 90 lines of code)
 - [Markdown live preview](./markdown_previewer): The online markdown editor with live preview (using less than 40 lines of code)
 - [Online Gomoku game](./gomoku_game): An online shared Gomoku game (using less than 100 lines of code)
 - [Input demo](./input_usage): Demonstrate the usage of PyWebIO input module 
 - [Output demo](./output_usage): Demonstrate the usage of PyWebIO output module 
 - [Theme preview](./theme): Demo page with various themes supported by PyWebIO

### Data visualization demo
PyWebIO supports for data visualization with the third-party libraries.

 - Use `bokeh` for data visualization [**demos**]({charts_demo_host}/?app=bokeh)
 - Use `plotly` for data visualization [**demos**]({charts_demo_host}/?app=plotly)
 - Use `pyecharts` to create Echarts-based charts in Python [**demos**]({charts_demo_host}/?app=pyecharts)
 - Use `pyg2plot` to create G2Plot-based charts in Python [**demos**]({charts_demo_host}/?app=pyg2plot)
 - Use `cutecharts.py` to create hand drawing style charts [**demos**]({charts_demo_host}/?app=cutecharts)

**Screenshots**

<a href="{charts_demo_host}/?app=bokeh">
    <img src="https://cdn.jsdelivr.net/gh/wang0618/pywebio-chart-gallery/assets/bokeh.png" alt="bokeh demo">
</a>

<a href="{charts_demo_host}/?app=plotly">
    <img src="https://cdn.jsdelivr.net/gh/wang0618/pywebio-chart-gallery/assets/plotly.png" alt="plotly demo">
</a>

<a href="{charts_demo_host}/?app=pyecharts">
    <img src="https://cdn.jsdelivr.net/gh/wang0618/pywebio-chart-gallery/assets/pyecharts.gif" alt="pyecharts demo">
</a>

<a href="{charts_demo_host}/?app=cutecharts">
    <img src="https://cdn.jsdelivr.net/gh/wang0618/pywebio-chart-gallery/assets/cutecharts.png" alt="cutecharts demo">
</a>

### Links
* PyWebIO Github [github.com/wang0618/PyWebIO](https://github.com/wang0618/PyWebIO)
* Document [pywebio.readthedocs.io](https://pywebio.readthedocs.io)

""".format(charts_demo_host=charts_demo_host)

index_md_zh = r"""### 基本demo

 - [BMI计算](./bmi): 根据身高体重计算BMI指数
 - [聊天室](./chat_room): 和当前所有在线的人聊天 (不到90行代码实现)
 - [Markdown实时预览](./markdown_previewer): 可以实时预览的在线Markdown编辑器 (不到40行代码实现)
 - [在线五子棋游戏](./gomoku_game): 多人协作对战的五子棋游戏 (不到100行代码实现)
 - [输入演示](./input_usage):  演示PyWebIO输入模块的用法
 - [输出演示](./output_usage): 演示PyWebIO输出模块的用法 
 - [主题预览](./theme): 展示PyWebIO支持的各种主题
 - 更多Demo请见[文档](https://pywebio.readthedocs.io)中示例代码的在线Demo

### 数据可视化demo
PyWebIO还支持使用第三方库进行数据可视化

 - 使用`bokeh`进行数据可视化 [**demos**]({charts_demo_host}/?app=bokeh)
 - 使用`plotly`进行数据可视化 [**demos**]({charts_demo_host}/?app=plotly)
 - 使用`pyecharts`创建基于Echarts的图表 [**demos**]({charts_demo_host}/?app=pyecharts)
 - 使用`pyg2plot`创建基于G2Plot的图表 [**demos**]({charts_demo_host}/?app=pyg2plot)
 - 使用`cutecharts.py`创建卡通风格图表 [**demos**]({charts_demo_host}/?app=cutecharts)

**数据可视化demo截图**

<a href="{charts_demo_host}/?app=bokeh">
    <img src="https://cdn.jsdelivr.net/gh/wang0618/pywebio-chart-gallery/assets/bokeh.png" alt="bokeh demo">
</a>

<a href="{charts_demo_host}/?app=plotly">
    <img src="https://cdn.jsdelivr.net/gh/wang0618/pywebio-chart-gallery/assets/plotly.png" alt="plotly demo">
</a>

<a href="{charts_demo_host}/?app=pyecharts">
    <img src="https://cdn.jsdelivr.net/gh/wang0618/pywebio-chart-gallery/assets/pyecharts.gif" alt="pyecharts demo">
</a>

<a href="{charts_demo_host}/?app=cutecharts">
    <img src="https://cdn.jsdelivr.net/gh/wang0618/pywebio-chart-gallery/assets/cutecharts.png" alt="cutecharts demo">
</a>

### Links
* PyWebIO Github [github.com/wang0618/PyWebIO](https://github.com/wang0618/PyWebIO)
* 使用手册和实现文档见 [pywebio.readthedocs.io](https://pywebio.readthedocs.io/zh_CN/latest/)

""".format(charts_demo_host=charts_demo_host)


def main():
    """PyWebIO demos

    Basic demo and data visualization demo of PyWebIO.
    PyWebIO的基本demo和数据可视化demo
    """
    put_row([
        put_markdown('# PyWebIO demos'),
        put_html(
            '<a class="github-button" data-size="large" href="https://github.com/wang0618/PyWebIO" data-show-count="true" aria-label="Star wang0618/PyWebIO on GitHub">Star</a>')
    ], size='1fr auto').style('align-items:center')
    put_html('<script async defer src="https://buttons.github.io/buttons.js"></script>')

    if 'zh' in session_info.user_language:
        put_markdown(index_md_zh)
    else:
        put_markdown(index_md)