import os
import streamlit as st
import pandas as pd
import requests
import urllib.parse

# Fetch the News API key from the environment variable
news_api_key = "fe1e6bcbbf384b3e9220a7a1138805e0"  # Replace with your News API key

# Check if the API key is available, if not show an error and stop
if not news_api_key:
    st.error("NEWS_API_KEY is not set. Please provide a valid API key.")
    st.stop()

# Function to load and preprocess data
@st.cache_data
def load_data(file):
    df = pd.read_csv(file)
    return df

# Function to provide detailed health advice based on user data
def provide_observed_advice(data):
    advice = []
    if data['depression'] > 7 and data['anxiety'] > 7:
        advice.append(
            "You seem to be experiencing high levels of both depression and anxiety. Consider professional mental health support and calming activities like deep breathing, mindfulness, or yoga."
        )
    if data['depression'] > 5 or data['anxiety'] > 5:
        advice.append(
            "Moderate levels of depression or anxiety detected. Maintain a regular sleep schedule, engage in physical activity, and reach out for support."
        )
    if data['isolation'] > 7 and data['stress_relief_activities'] < 5:
        advice.append(
            "Feeling isolated with low stress-relief activities. Connect with friends or community groups and try journaling or meditation."
        )
    if data['future_insecurity'] > 7:
        advice.append(
            "Significant insecurity about the future detected. Break down goals into smaller tasks, and consider career counseling or mentorship."
        )
    if data['stress_relief_activities'] < 5:
        advice.append(
            "Low engagement in stress-relief activities. Try hobbies, physical exercise, or relaxation techniques like yoga."
        )
    return advice

# Function to fetch health articles from News API based on the query
def get_health_articles(query):
    url = f"https://newsapi.org/v2/everything?q={query}&apiKey={news_api_key}"
    try:
        response = requests.get(url)
        response.raise_for_status()
        data = response.json()
        articles = [{"title": item["title"], "url": item["url"]} for item in data.get("articles", [])]
        return articles
    except requests.exceptions.RequestException as err:
        st.error(f"Error fetching articles: {err}. Please check your internet connection.")
        return []

# Streamlit app layout
def main():
    st.set_page_config(page_title="Student Health Advisory Assistant", layout="wide")

    # Sidebar for navigation
    with st.sidebar:
        st.header("Navigation")
        option = st.radio("Go to", ["Home", "Analyze Your Well-being", "Health Articles"])

    # Home page
    if option == "Home":
        st.title("🌟 Welcome to the Student Health Advisory Assistant 🌟")
        st.image("https://via.placeholder.com/800x300?text=Student+Health+Advisory", use_column_width=True)
        st.markdown("### Helping you analyze your well-being and provide personalized advice for a healthier mind.")
        st.markdown(
            """
            - Upload your dataset for in-depth analysis.
            - Input your details to receive personalized advice.
            - Browse the latest health-related articles.
            """
        )

    # Well-being analysis
    elif option == "Analyze Your Well-being":
        st.title("🔍 Analyze Your Well-being")
        uploaded_file = st.file_uploader("Upload your dataset (CSV)", type=["csv"])
        if uploaded_file:
            df = load_data(uploaded_file)
            st.write("### Dataset Preview:")
            st.dataframe(df.head())

        with st.expander("Enter Your Details"):
            gender = st.selectbox("🔹 Gender", ["Male", "Female"])
            age = st.slider("🔹 Age", 18, 35, step=1)
            depression = st.slider("🔹 Depression Level (1-10)", 1, 10)
            anxiety = st.slider("🔹 Anxiety Level (1-10)", 1, 10)
            isolation = st.slider("🔹 Isolation Level (1-10)", 1, 10)
            future_insecurity = st.slider("🔹 Future Insecurity Level (1-10)", 1, 10)
            stress_relief_activities = st.slider("🔹 Stress Relief Activities Level (1-10)", 1, 10)

        user_data = {
            "gender": gender,
            "age": age,
            "depression": depression,
            "anxiety": anxiety,
            "isolation": isolation,
            "future_insecurity": future_insecurity,
            "stress_relief_activities": stress_relief_activities,
        }

        if st.button("Get Observed Advice"):
            st.subheader("🔔 Health Advice Based on Observations")
            advice = provide_observed_advice(user_data)
            for i, tip in enumerate(advice, 1):
                st.write(f"📌 {i}. {tip}")

    # Health articles
    elif option == "Health Articles":
        st.title("📰 Browse Health Articles")
        query = st.text_input("Search for health topics (e.g., anxiety, stress relief)")
        if query and st.button("Search Articles"):
            articles = get_health_articles(query)
            for article in articles:
                st.write(f"🌐 [{article['title']}]({article['url']})")

if __name__ == "__main__":
    main()