Taipy：將數據轉化為生產級 Web 應用的利器

import numpy as np
import pandas as pd
from datetime import datetime, timedelta

# 生成七天的日期
start_date = datetime.now()
dates = [start_date + timedelta(days=i) for i in range(7)]
date_strs = [date.strftime("%Y-%m-%d") for date in dates]

# 生成隨機氣象資料
np.random.seed(42)  # 設置隨機種子以保證結果可重現
temperatures = np.round(np.random.normal(25, 5, 7), 1)  # 溫度均值 25°C，標準差 5
humidity = np.round(np.random.uniform(40, 90, 7), 1)  # 濕度在 40%-90% 之間
wind_speed = np.round(np.random.uniform(0, 30, 7), 1)  # 風速在 0-30 km/h之間
pressure = np.round(np.random.normal(1013, 5, 7), 1)  # 氣壓均值 1013 hPa，標準差 5
rainfall = np.round(np.random.exponential(5, 7), 1)  # 降雨量，指數分佈

# 天氣狀況
weather_conditions = ['晴朗', '多雲', '陰天', '小雨', '大雨', '雷暴', '霧']
weather = np.random.choice(weather_conditions, 7)

# 創建資料框
weather_data = pd.DataFrame({
    'Date': date_strs,
    'Temperature': temperatures,
    'Humidity': humidity,
    'Wind_Speed': wind_speed,
    'Pressure': pressure,
    'Rainfall': rainfall,
    'Weather': weather
})

print(weather_data)

from taipy.gui import Gui
from generate_weather_data import weather_data

# 設置 Taipy 的頁面配置
weather_data_orig = weather_data.copy()
selected_date = weather_data['Date'][0]
selected_metric = 'Temperature'

# 定義 Taipy 頁面
page = """
# 七天天氣預報儀表板

## 選擇指標
<|{selected_metric}|selector|lov=Temperature;Humidity;Wind_Speed;Pressure;Rainfall|dropdown|>

## 天氣趨勢圖
<|{weather_data}|chart|x=Date|y={selected_metric}|rebuild|>

## 七天天氣概況
<|{weather_data}|table|>


## 當日天氣詳情
<|{selected_date}|selector|lov={weather_data['Date']}|dropdown|>

### 所選日期的天氣詳情
- **日期:** <|{selected_date}|>
- **溫度:** <|{weather_data[weather_data['Date']==selected_date]['Temperature'].values[0]}|> °C
- **濕度:** <|{weather_data[weather_data['Date']==selected_date]['Humidity'].values[0]}|> %
- **風速:** <|{weather_data[weather_data['Date']==selected_date]['Wind_Speed'].values[0]}|> km/h
- **氣壓:** <|{weather_data[weather_data['Date']==selected_date]['Pressure'].values[0]}|> hPa
- **降雨量:** <|{weather_data[weather_data['Date']==selected_date]['Rainfall'].values[0]}|> mm
- **天氣狀況:** <|{weather_data[weather_data['Date']==selected_date]['Weather'].values[0]}|>
"""

def on_change(state, var_name, var_value):
    if var_name == "selected_date" or var_name == "selected_metric":
        # 更新圖表
        return

if __name__ == "__main__":
    gui = Gui(page)
    gui.run(use_reloader=True, port="auto")

# 一個簡單的 Taipy GUI 示例
import taipy as tp
from taipy.gui import Gui

data = {"value": 10}

def on_slider_change(state, var_name, var_value):
    state.data["value"] = var_value

page = """
# 簡單的 Taipy 應用

## 調整數值
<|{data["value"]}|slider|min=0|max=100|on_change=on_slider_change|>

## 當前值
當前值是：<|{data["value"]}|text|>
"""

if __name__ == "__main__":
    Gui(page).run()

import taipy as tp
from taipy import Config, Core

# 配置數據節點
input_data_node_cfg = Config.configure_data_node(id="input_data")
output_data_node_cfg = Config.configure_data_node(id="output_data")

# 配置任務
def process_data(input_data):
    # 處理數據的邏輯
    return input_data * 2

task_cfg = Config.configure_task("process_task", process_data, 
                                input_data_node_cfg, output_data_node_cfg)

# 配置情景
scenario_cfg = Config.configure_scenario("my_scenario", [task_cfg])

# 運行 Core 服務
Core().run()

# 創建並執行情景
scenario = tp.create_scenario(scenario_cfg)
scenario.input_data.write(10)
scenario.submit()
result = scenario.output_data.read()