1) add uv to weather, 2) add caching to accelerate loading speed
This commit is contained in:
deng
@ -3,6 +3,8 @@
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# author: deng
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# author: deng
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# date: 20251127
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# date: 20251127
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from datetime import datetime
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import streamlit as st
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import streamlit as st
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import yaml
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import yaml
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from elevation_profile import ElevationProfileRenderer
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from elevation_profile import ElevationProfileRenderer
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@ -30,6 +32,7 @@ class HikingAssistant:
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initial_sidebar_state='collapsed',
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initial_sidebar_state='collapsed',
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)
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)
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# [Block1]
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# Title and description
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# Title and description
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st.title('⛰️ ' + self._config['app']['page_title'])
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st.title('⛰️ ' + self._config['app']['page_title'])
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@ -41,25 +44,61 @@ class HikingAssistant:
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'[Hikingbook](https://zh-tw.hikingbook.net/explore/trails?regions=Taiwan)等網站下載 GPX 檔案',
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'[Hikingbook](https://zh-tw.hikingbook.net/explore/trails?regions=Taiwan)等網站下載 GPX 檔案',
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)
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)
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# [Block2]
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# Analysis
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if uploaded_file is not None:
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if uploaded_file is not None:
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try:
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try:
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# Process GPX file
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# Create cache key based on file name and size
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with st.spinner('正在解析 GPX 檔案...'):
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file_key = f'{uploaded_file.name}_{uploaded_file.size}'
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gpx_processor = GPXProcessor(uploaded_file)
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if not gpx_processor.validate_and_parse():
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# Check if file is already processed
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st.error('❌ GPX 檔案格式錯誤或不包含有效的軌跡點')
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if 'gpx_file_key' not in st.session_state or st.session_state.gpx_file_key != file_key:
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return
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# Process GPX file (only when it's a new file)
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with st.spinner('正在解析 GPX 檔案...'):
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gpx_processor = GPXProcessor(uploaded_file)
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# Calculate statistics
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if not gpx_processor.validate_and_parse():
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total_distance = gpx_processor.calculate_distance()
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st.error('❌ GPX 檔案格式錯誤或不包含有效的軌跡點')
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elevation_gain, elevation_loss = gpx_processor.calculate_elevation_gain_loss()
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return
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min_elevation, max_elevation = gpx_processor.get_min_max_elevation()
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start_point, end_point = gpx_processor.get_start_end_points()
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# Calculate statistics
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all_points = gpx_processor.get_all_points()
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total_distance = gpx_processor.calculate_distance()
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distances, elevations = gpx_processor.get_elevation_profile_data()
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elevation_gain, elevation_loss = gpx_processor.calculate_elevation_gain_loss()
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gradients = gpx_processor.get_gradients()
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min_elevation, max_elevation = gpx_processor.get_min_max_elevation()
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estimated_time = gpx_processor.calculate_naismith_time()
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start_point, end_point = gpx_processor.get_start_end_points()
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all_points = gpx_processor.get_all_points()
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distances, elevations = gpx_processor.get_elevation_profile_data()
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gradients = gpx_processor.get_gradients()
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estimated_time = gpx_processor.calculate_naismith_time()
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# Cache all processed data
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st.session_state.gpx_file_key = file_key
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st.session_state.total_distance = total_distance
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st.session_state.elevation_gain = elevation_gain
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st.session_state.elevation_loss = elevation_loss
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st.session_state.min_elevation = min_elevation
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st.session_state.max_elevation = max_elevation
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st.session_state.start_point = start_point
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st.session_state.end_point = end_point
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st.session_state.all_points = all_points
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st.session_state.distances = distances
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st.session_state.elevations = elevations
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st.session_state.gradients = gradients
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st.session_state.estimated_time = estimated_time
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# Use cached data
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total_distance = st.session_state.total_distance
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elevation_gain = st.session_state.elevation_gain
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elevation_loss = st.session_state.elevation_loss
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min_elevation = st.session_state.min_elevation
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max_elevation = st.session_state.max_elevation
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start_point = st.session_state.start_point
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end_point = st.session_state.end_point
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all_points = st.session_state.all_points
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distances = st.session_state.distances
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elevations = st.session_state.elevations
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gradients = st.session_state.gradients
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estimated_time = st.session_state.estimated_time
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# Display statistics section
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# Display statistics section
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st.header('📊 路線五四三')
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st.header('📊 路線五四三')
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@ -126,70 +165,128 @@ class HikingAssistant:
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st.header('☀️ 天氣安抓')
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st.header('☀️ 天氣安抓')
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if start_point:
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if start_point:
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with st.spinner('正在獲取天氣資訊...'):
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weather_fetcher = WeatherFetcher(forecast_days=self._config['app']['weather']['forecast_days'])
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weather_fetcher = WeatherFetcher()
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weather_key = f'weather_{start_point[0]:.6f}_{start_point[1]:.6f}'
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weather_data = weather_fetcher.get_weather(start_point[0], start_point[1])
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if weather_data:
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# Check if weather data is already cached
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weather_info = weather_fetcher.format_weather_display(weather_data)
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if 'weather_cache_key' not in st.session_state or st.session_state.weather_cache_key != weather_key:
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# Fetch weather data (only when coordinates change)
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with st.spinner('正在獲取天氣資訊...'):
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weather_data = weather_fetcher.get_weather(start_point[0], start_point[1])
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if weather_info:
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# Cache weather data
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# Current weather
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st.session_state.weather_cache_key = weather_key
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st.subheader('此刻起點天氣')
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st.session_state.weather_data = weather_data
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col1, col2, col3, col4, col5 = st.columns(5)
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else:
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# Use cached weather data
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weather_data = st.session_state.weather_data
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with col1:
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if weather_data:
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st.metric(label='🌡️ 溫度', value=weather_info['temperature'])
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daily_times = weather_data.get('daily_time', [])
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if daily_times:
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# Date selector
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date_labels = [datetime.fromisoformat(d).strftime('%Y/%m/%d') for d in daily_times]
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selected_date_label = st.selectbox(
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'出發日期',
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options=date_labels,
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index=0,
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key='weather_date_selector',
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)
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selected_index = date_labels.index(selected_date_label)
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with col2:
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st.subheader('起點天氣')
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st.metric(label='💧 濕度', value=weather_info['humidity'])
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with col3:
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# Get weather data
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# Get precipitation probability from weather_data
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# Current
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precip_prob = weather_data.get('current_precipitation_prob')
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current_humidity = weather_data.get('current_humidity')
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if precip_prob is not None:
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current_apparent_temperature = weather_data.get('current_apparent_temperature')
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st.metric(label='☔ 降雨機率', value=f'{precip_prob}%')
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current_precipitation_probability = weather_data.get('current_precipitation_probability')
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else:
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current_precipitation = weather_data.get('current_precipitation')
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st.metric(label='☔ 降雨機率', value='N/A')
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current_wind_speed = weather_data.get('current_wind_speed')
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current_wind_direction = weather_data.get('current_wind_direction')
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# Daily
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daily_temp_max = weather_data.get('daily_temp_max', [])
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daily_temp_min = weather_data.get('daily_temp_min', [])
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daily_apparent_max = weather_data.get('daily_apparent_temp_max', [])
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daily_apparent_min = weather_data.get('daily_apparent_temp_min', [])
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daily_mean_relative_humidity = weather_data.get('daily_mean_relative_humidity', [])
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daily_precip_sum = weather_data.get('daily_precipitation_sum', [])
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daily_precip_prob = weather_data.get('daily_precipitation_prob', [])
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daily_wind_speed_max = weather_data.get('daily_wind_speed_max', [])
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daily_wind_direction_dominant = weather_data.get('daily_wind_direction_dominant', [])
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daily_sunrise = weather_data.get('daily_sunrise', [])
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daily_sunset = weather_data.get('daily_sunset', [])
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daily_uv_index_max = weather_data.get('daily_uv_index_max', [])
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with col4:
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# Row 1: Temperature (3 columns)
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st.metric(label='🌧️ 降雨量', value=weather_info['precipitation'])
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col1, col2, col3 = st.columns(3)
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with col1:
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st.metric('🔥 最高溫度', f'{daily_temp_max[selected_index]:.1f}°C')
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with col2:
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st.metric('❄️ 最低溫度', f'{daily_temp_min[selected_index]:.1f}°C')
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with col3:
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if selected_index == 0:
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apparent_temp = current_apparent_temperature
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else:
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apparent_temp = (daily_apparent_max[selected_index] + daily_apparent_min[selected_index]) / 2
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st.metric('🌡️ 體感溫度', f'{apparent_temp:.1f}°C')
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with col5:
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# Row 2: Humidity, Precipitation, Wind (3 columns)
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# Get wind direction and convert to flow direction
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col1, col2, col3 = st.columns(3)
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wind_dir_degrees = weather_data.get('current_wind_direction')
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with col1:
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wind_dir_text = weather_fetcher.convert_wind_degrees_to_flow_direction(wind_dir_degrees)
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if selected_index == 0:
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relative_humidity = current_humidity
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else:
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relative_humidity = daily_mean_relative_humidity[selected_index]
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st.metric('💧 相對濕度', f'{relative_humidity}%')
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# Get wind speed and level indicator
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with col2:
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wind_speed_value = weather_data.get('current_wind_speed')
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if selected_index == 0:
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wind_level = weather_fetcher.get_wind_speed_indicator(wind_speed_value)
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precipitation_probability = current_precipitation_probability
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precipitation = current_precipitation
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else:
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precipitation_probability = daily_precip_prob[selected_index]
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precipitation = daily_precip_sum[selected_index]
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st.metric('🌧️ 降雨機率 / 雨量', f'{precipitation_probability}% / {precipitation:.1f}mm')
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st.metric(
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with col3:
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label='💨 風速與流向',
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wind_dir_text = weather_fetcher.convert_wind_degrees_to_flow_direction(
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value=f'{weather_info["wind_speed"]} {wind_dir_text} {wind_level}',
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degrees=current_wind_direction if selected_index == 0 else daily_wind_direction_dominant[selected_index]
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)
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)
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wind_level = weather_fetcher.get_wind_speed_indicator(
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wind_speed=current_wind_speed if selected_index == 0 else daily_wind_speed_max[selected_index]
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)
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st.metric('💨 風速 / 流向', f'{daily_wind_speed_max[selected_index]:.1f} km/h {wind_dir_text} {wind_level}')
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# Forecast
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# Row 3: Sunrise, Sunset
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if weather_info['forecast']:
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col1, col2, col3 = st.columns(3)
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st.subheader('未來三天預報')
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with col1:
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forecast_cols = st.columns(3)
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sunrise_time = datetime.fromisoformat(daily_sunrise[selected_index]).strftime('%H:%M')
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st.metric('🌅 日出時間', sunrise_time)
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for idx, forecast in enumerate(weather_info['forecast']):
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with col2:
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with forecast_cols[idx]:
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sunset_time = datetime.fromisoformat(daily_sunset[selected_index]).strftime('%H:%M')
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st.markdown(f'**{forecast["date"]}**')
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st.metric('🌇 日落時間', sunset_time)
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st.write(f'🌡️ 高溫: {forecast["temp_max"]}°C')
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st.write(f'🌡️ 低溫: {forecast["temp_min"]}°C')
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with col3:
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st.write(f'☔ 降雨機率: {forecast["precip_prob"]}%')
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uv_index = daily_uv_index_max[selected_index]
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else:
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uv_level = weather_fetcher.get_uv_index_indicator(uv_index)
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st.warning('⚠️ 無法格式化天氣資料')
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st.metric('☀️ UV指數', f'{uv_index} {uv_level}')
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if selected_index >= 3:
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st.info('❗ 三天後的天氣資訊誤差可能較大')
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else:
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else:
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st.warning('⚠️ 無法獲取天氣資訊，請稍後再試')
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st.warning('⚠️ 無法獲取足夠天數的天氣資料')
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else:
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st.warning('⚠️ 無法獲取天氣資訊，請稍後再試')
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else:
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else:
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st.warning('⚠️ 無法確定起點位置')
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st.warning('⚠️ 無法確定起點位置')
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except Exception as e:
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except Exception as e:
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st.error(f'❌ 處理檔案時發生錯誤: {str(e)}')
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st.error(f'❌ 處理檔案時發生錯誤: {str(e)}')
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# [Block3]
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# Footer
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st.divider()
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st.divider()
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footer_text = f'<div style="text-align:center; font-size: 0.8em"><p>{self._config["app"]["page_footer_text"]}</p></div>'
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footer_text = f'<div style="text-align:center; font-size: 0.8em"><p>{self._config["app"]["page_footer_text"]}</p></div>'
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st.markdown(footer_text, unsafe_allow_html=True)
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st.markdown(footer_text, unsafe_allow_html=True)
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@ -1,4 +1,6 @@
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app:
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app:
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page_title: 臺灣登山小幫手
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page_title: 臺灣登山小幫手
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page_favicon_path: ./assets/favicon_compressed.jpg
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page_favicon_path: ./assets/favicon_compressed.jpg
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page_footer_text: ⚠️ 本服務提供之資訊僅供規劃參考，山區氣候瞬息萬變，請務必依據現場狀況與自身能力進行風險評估<br>Made with ❤️ by <a href="https://gitea.guineapig.love/deng">deng</a>
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page_footer_text: ⚠️ 本服務提供之資訊僅供規劃參考，山區氣候瞬息萬變，請務必依據現場狀況與自身能力進行風險評估<br>Made with ❤️ by <a href="https://gitea.guineapig.love/deng">deng</a>
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weather:
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forecast_days: 7
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@ -9,10 +9,11 @@ import requests
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class WeatherFetcher:
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class WeatherFetcher:
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"""Fetch weather data for hiking locations."""
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"""Fetch weather data for hiking locations."""
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def __init__(self):
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def __init__(self, api_url='https://api.open-meteo.com/v1/forecast', request_timeout=8, forecast_days=7):
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"""Initialize weather fetcher."""
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"""Initialize weather fetcher."""
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self.api_url = 'https://api.open-meteo.com/v1/forecast'
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self.api_url = api_url
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self.request_timeout = 8 # unit: second
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self.request_timeout = request_timeout
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self.forecast_days = max(forecast_days, 1)
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def convert_wind_degrees_to_flow_direction(self, degrees):
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def convert_wind_degrees_to_flow_direction(self, degrees):
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"""Convert wind direction from degrees to flow direction emoji.
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"""Convert wind direction from degrees to flow direction emoji.
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@ -50,6 +51,29 @@ class WeatherFetcher:
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else:
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else:
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return '🔴' # Dangerous
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return '🔴' # Dangerous
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def get_uv_index_indicator(self, uv_index):
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"""Get UV index level indicator based on index.
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Args:
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uv_index: UV index
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Returns:
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str: Emoji indicator (🟢/🟡/🟠/🔴/🟣)
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"""
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if uv_index is None:
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return ''
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if uv_index <= 2:
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return '🟢' # Safe
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elif uv_index <= 5:
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return '🟡' # Caution
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elif uv_index <= 7:
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return '🟠' # Alert
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elif uv_index <= 10:
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return '🔴' # Dangerous
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else:
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return '🟣' # Extreme
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def get_weather(self, latitude, longitude):
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def get_weather(self, latitude, longitude):
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"""Fetch weather data for given coordinates.
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"""Fetch weather data for given coordinates.
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@ -65,10 +89,14 @@ class WeatherFetcher:
|
|||||||
params = {
|
params = {
|
||||||
'latitude': latitude,
|
'latitude': latitude,
|
||||||
'longitude': longitude,
|
'longitude': longitude,
|
||||||
'current': 'temperature_2m,relative_humidity_2m,precipitation,wind_speed_10m,wind_direction_10m',
|
'current': ('relative_humidity_2m,apparent_temperature,precipitation_probability,precipitation,wind_speed_10m,wind_direction_10m',),
|
||||||
'daily': 'temperature_2m_max,temperature_2m_min,precipitation_probability_max',
|
'daily': (
|
||||||
|
'temperature_2m_max,temperature_2m_min,apparent_temperature_max,apparent_temperature_min,'
|
||||||
|
'relative_humidity_2m_mean,precipitation_sum,precipitation_probability_max,sunrise,sunset,'
|
||||||
|
'wind_speed_10m_max,wind_direction_10m_dominant,uv_index_max'
|
||||||
|
),
|
||||||
'timezone': 'auto',
|
'timezone': 'auto',
|
||||||
'forecast_days': 3,
|
'forecast_days': self.forecast_days,
|
||||||
}
|
}
|
||||||
|
|
||||||
response = requests.get(self.api_url, params=params, timeout=self.request_timeout)
|
response = requests.get(self.api_url, params=params, timeout=self.request_timeout)
|
||||||
@ -81,15 +109,24 @@ class WeatherFetcher:
|
|||||||
daily = data.get('daily', {})
|
daily = data.get('daily', {})
|
||||||
|
|
||||||
weather_info = {
|
weather_info = {
|
||||||
'current_temperature': current.get('temperature_2m'),
|
|
||||||
'current_humidity': current.get('relative_humidity_2m'),
|
'current_humidity': current.get('relative_humidity_2m'),
|
||||||
|
'current_apparent_temperature': current.get('apparent_temperature'),
|
||||||
|
'current_precipitation_probability': current.get('precipitation_probability'),
|
||||||
'current_precipitation': current.get('precipitation'),
|
'current_precipitation': current.get('precipitation'),
|
||||||
'current_precipitation_prob': daily.get('precipitation_probability_max', [None])[0], # Today's rain probability
|
|
||||||
'current_wind_speed': current.get('wind_speed_10m'),
|
'current_wind_speed': current.get('wind_speed_10m'),
|
||||||
'current_wind_direction': current.get('wind_direction_10m'),
|
'current_wind_direction': current.get('wind_direction_10m'),
|
||||||
'daily_temp_max': daily.get('temperature_2m_max', []),
|
'daily_temp_max': daily.get('temperature_2m_max', []),
|
||||||
'daily_temp_min': daily.get('temperature_2m_min', []),
|
'daily_temp_min': daily.get('temperature_2m_min', []),
|
||||||
|
'daily_apparent_temp_max': daily.get('apparent_temperature_max', []),
|
||||||
|
'daily_apparent_temp_min': daily.get('apparent_temperature_min', []),
|
||||||
|
'daily_mean_relative_humidity': daily.get('relative_humidity_2m_mean', []),
|
||||||
|
'daily_precipitation_sum': daily.get('precipitation_sum', []),
|
||||||
'daily_precipitation_prob': daily.get('precipitation_probability_max', []),
|
'daily_precipitation_prob': daily.get('precipitation_probability_max', []),
|
||||||
|
'daily_wind_speed_max': daily.get('wind_speed_10m_max', []),
|
||||||
|
'daily_wind_direction_dominant': daily.get('wind_direction_10m_dominant', []),
|
||||||
|
'daily_sunrise': daily.get('sunrise', []),
|
||||||
|
'daily_sunset': daily.get('sunset', []),
|
||||||
|
'daily_uv_index_max': daily.get('uv_index_max', []),
|
||||||
'daily_time': daily.get('time', []),
|
'daily_time': daily.get('time', []),
|
||||||
}
|
}
|
||||||
|
|
||||||
@ -101,41 +138,3 @@ class WeatherFetcher:
|
|||||||
except Exception as e:
|
except Exception as e:
|
||||||
print(f'天氣資料處理失敗: {str(e)}')
|
print(f'天氣資料處理失敗: {str(e)}')
|
||||||
return None
|
return None
|
||||||
|
|
||||||
def format_weather_display(self, weather_info):
|
|
||||||
"""Format weather data for display.
|
|
||||||
|
|
||||||
Args:
|
|
||||||
weather_info: Weather data dictionary from get_weather()
|
|
||||||
|
|
||||||
Returns:
|
|
||||||
dict: Formatted weather data for UI display
|
|
||||||
"""
|
|
||||||
if not weather_info:
|
|
||||||
return None
|
|
||||||
|
|
||||||
formatted = {
|
|
||||||
'temperature': f'{weather_info.get("current_temperature", "N/A")}°C',
|
|
||||||
'humidity': f'{weather_info.get("current_humidity", "N/A")}%',
|
|
||||||
'precipitation': f'{weather_info.get("current_precipitation", 0)} mm',
|
|
||||||
'wind_speed': f'{weather_info.get("current_wind_speed", "N/A")} km/h',
|
|
||||||
'forecast': [],
|
|
||||||
}
|
|
||||||
|
|
||||||
# Add 3-day forecast
|
|
||||||
times = weather_info.get('daily_time', [])
|
|
||||||
temp_max = weather_info.get('daily_temp_max', [])
|
|
||||||
temp_min = weather_info.get('daily_temp_min', [])
|
|
||||||
precip_prob = weather_info.get('daily_precipitation_prob', [])
|
|
||||||
|
|
||||||
for i in range(min(3, len(times))):
|
|
||||||
formatted['forecast'].append(
|
|
||||||
{
|
|
||||||
'date': times[i],
|
|
||||||
'temp_max': temp_max[i] if i < len(temp_max) else 'N/A',
|
|
||||||
'temp_min': temp_min[i] if i < len(temp_min) else 'N/A',
|
|
||||||
'precip_prob': precip_prob[i] if i < len(precip_prob) else 'N/A',
|
|
||||||
}
|
|
||||||
)
|
|
||||||
|
|
||||||
return formatted
|
|
||||||
|
|||||||
Reference in New Issue
Block a user