import streamlit as st
from utils.levels import complete_level, render_page, initialize_level
LEVEL = 1

initialize_level()

def step1_page():
    st.header("Weather Forecasting and It's Applications")
    st.markdown(
    """
    ### What is weather forecasting?
    Weather forecasting is an application of science and advanced technology that is used to predict the atmospheric condition 
    for an upcoming point of time and a given location. 

    Our day to day life is directly or indirectly depends on the weather in terms of economy and environment, 
    it affects us with various factors as events, timing, duration, location, etc. In consideration of these factors, 
    weather forecasting works with the parameters temperature, humidity, and wind speed. 
    
    ### Applications of weather forecasting
    Weather forecasting has numerous real-world applications across various industries and sectors. 
    Its impact extends beyond personal planning and extends to critical decision-making processes in sectors that heavily rely on weather conditions. 
    Here are some key applications of weather forecasting in the real world:
    
    1. **Aviation Industry**: Weather forecasting plays a vital role in aviation, enabling pilots and airlines to plan safe flight routes, avoid turbulence, and make decisions regarding takeoff, landing, and flight diversions based on current and predicted weather conditions.

    2. **Agriculture and Farming**: Farmers use weather forecasts to optimize irrigation schedules, plan planting and harvesting activities, and protect crops from adverse weather conditions, such as frost, drought, or excessive rainfall.

    3. **Energy and Utilities**: Weather forecasts are crucial for energy and utility companies to anticipate electricity demand, especially for renewable energy sources like solar and wind power, which are highly dependent on weather patterns.

    4. **Transportation and Logistics**: Weather forecasts help transportation and logistics companies plan routes, manage schedules, and anticipate potential disruptions due to adverse weather conditions, ensuring efficient and reliable services.

    5. **Disaster Management and Emergency Response**: Accurate weather predictions aid disaster management agencies in preparing for and responding to natural disasters like hurricanes, floods, and wildfires. It allows for timely evacuations and resource allocation to mitigate the impact of extreme weather events.

    6. **Tourism and Hospitality**: The tourism industry relies on weather forecasts to manage tourist activities, plan outdoor events, and optimize resource allocation for hotels and resorts based on expected weather conditions.

    7. **Construction Industry**: Weather forecasts are essential for construction companies to plan construction schedules, especially for outdoor projects that are susceptible to weather-related delays and safety risks.

    8. **Retail and Sales**: Weather predictions impact consumer behavior, influencing purchases of seasonal items like clothing, outdoor equipment, and home appliances.

    9. **Public Health**: Weather forecasts help public health agencies anticipate and prepare for weather-related health risks, such as heatwaves, air pollution, and disease outbreaks.

    10. **Environmental Monitoring**: Weather forecasting is essential for monitoring and understanding weather-related environmental changes, including climate trends, sea-level rise, and extreme weather occurrences.

    11. **Sports and Events**: Weather forecasts play a significant role in organizing outdoor sports events, concerts, and festivals, ensuring the safety and comfort of participants and attendees.

    12. **Media and News Reporting**: Weather forecasts are frequently featured in media to keep the public informed about upcoming weather conditions and potential weather-related impacts.

    Throughout the tutorial, you will learn how weather forecasting works and will have the opportunity to implement a robust weather forecasting application by yourself!. 
    Step by step, we will guide you through the process, ensuring that you gain a deep understanding of each concept and its practical implementation.
    """
    )

    st.info("Click on the button below to continue!")

    if st.button("Complete"):
        complete_level(LEVEL)

render_page(step1_page, LEVEL)