import streamlit as st
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
from datetime import datetime

if 'submitted' not in st.session_state:
    st.session_state.submitted = False

st.set_page_config(page_title="Blowby Pressure & Fuel Impact Dashboard", layout="wide")


st.markdown("""
    <style>
    @import url('https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;600;700&display=swap');
    
    .main {
        background: linear-gradient(135deg, #1a2a44 0%, #2c3e50 100%);
        font-family: 'Poppins', sans-serif;
        color: #ecf0f1;
        padding: 20px;
    }
    .stButton>button {
        background: linear-gradient(90deg, #f1c40f, #e67e22);
        color: #1a2a44;
        border: none;
        border-radius: 25px;
        padding: 12px 30px;
        font-weight: 600;
        transition: all 0.3s ease;
        box-shadow: 0 4px 15px rgba(0, 0, 0, 0.2);
    }
    .stButton>button:hover {
        background: linear-gradient(90deg, #e67e22, #f1c40f);
        transform: translateY(-2px);
        box-shadow: 0 6px 20px rgba(0, 0, 0, 0.3);
    }
    .stRadio>div>label {
        font-size: 16px;
        color: #ecf0f1;
        background-color: rgba(255, 255, 255, 0.1);
        padding: 8px 15px;
        border-radius: 15px;
        transition: all 0.3s ease;
    }
    .stRadio>div>label:hover {
        background-color: rgba(255, 255, 255, 0.2);
    }
    .metric-card {
        background: rgba(255, 255, 255, 0.95);
        padding: 20px;
        border-radius: 15px;
        box-shadow: 0 8px 20px rgba(0, 0, 0, 0.15);
        margin-bottom: 20px;
        transition: transform 0.3s ease;
    }
    .metric-card:hover {
        transform: translateY(-5px);
    }
    h1 {
        color: #f1c40f;
        font-weight: 700;
        text-align: center;
        font-size: 2.5em;
        text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.3);
    }
    h2 {
        color: #ecf0f1;
        font-weight: 600;
        font-size: 1.8em;
        margin-bottom: 15px;
    }
    .stSelectbox {
        background-color: rgba(255, 255, 255, 0.1);
        border-radius: 10px;
        padding: 5px;
    }
    .stSlider>div>div>div {
        background-color: #f1c40f !important;
    }
    .stNumberInput input {
        background-color: rgba(255, 255, 255, 0.1);
        color: #ecf0f1;
        border-radius: 10px;
        border: 1px solid #f1c40f;
    }
    .thank-you-message {
        display: flex;
        justify-content: center;
        align-items: center;
        height: 80vh;
        font-size: 2.5em;
        font-weight: 600;
        color: #f1c40f;
        text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.3);
    }
    </style>
""", unsafe_allow_html=True)


def show_thank_you_message():
    st.markdown("""
        <div class="thank-you-message">
            Terimakasih sudah simulasi
        </div>
    """, unsafe_allow_html=True)


if st.session_state.submitted:
    show_thank_you_message()
else:

    with st.sidebar:
        st.markdown("<h2 style='color: #f1c40f;'>⚙️ Dashboard Controls</h2>", unsafe_allow_html=True)
        st.markdown("**Developed by: Bukit Technology (RnD)**")
        st.markdown(f"**Last Updated:** {datetime.now().strftime('%Y-%m-%d')}")
        st.markdown("---")
        st.markdown("Use this calculator to analyze blowby pressure and fuel impact for strategic decisions.")


    col_logo, col_title = st.columns([1, 4])
    with col_logo:
        try:
            st.image("buma ina.png", width=150)
        except FileNotFoundError:
            st.warning("⚠️ File logo 'buma_ina.PNG' tidak ditemukan. Silakan pastikan file ada di direktori yang sama dengan script.")
    with col_title:
        st.title("Calculator CHA for Fuel Rate Impact")
        # st.markdown("**Analisis Blowby Pressure & Fuel Impact untuk Pengambilan Keputusan Strategis**")


    try:
        detail = pd.read_csv('1_DEV_SUMMARY_detail_data_HD785_7_ENGINE_last3month.csv')
    except FileNotFoundError:
        st.error("❌ File '1_DEV_SUMMARY_detail_data_HD785_7_ENGINE_last3month.csv' tidak ditemukan.")
        st.stop()


    st.subheader("🔍 Pilih Unit untuk Analisis")
    unit_list = sorted(detail['equipment_no'].dropna().unique())
    selected_unit = st.selectbox("Pilih unit number yang akan disimulasikan:", unit_list, help="Pilih nomor peralatan untuk analisis")

    unit_df = detail[detail['equipment_no'] == selected_unit].sort_values("comp_life")
    if unit_df.empty:
        st.warning("⚠️ Data tidak tersedia untuk unit ini.")
        st.stop()


    current_life_df = (
        detail[detail['solving_algorithm'].notna()]
        .sort_values(['equipment_no', 'comp_life'])
        .groupby('equipment_no')
        .tail(1)
    )
    if selected_unit not in current_life_df['equipment_no'].values:
        st.error("❌ Data current component life tidak tersedia untuk unit ini.")
        st.stop()
    current_life = current_life_df.loc[current_life_df['equipment_no'] == selected_unit, 'comp_life'].iloc[0]

    col1, col2 = st.columns([2, 1])

    with col1:

        st.subheader("📊 Grafik Blowby Pressure terhadap Umur Komponen")
        max_life = unit_df['comp_life'].max()
        fig = px.line(unit_df, x='comp_life', y='blowby_press_max_act', 
                      title=f"Unit: {selected_unit}",
                      labels={'comp_life': 'Component Life (Hours)', 'blowby_press_max_act': 'Pressure (mmH2O)'},
                      line_shape='linear', render_mode='svg')
        fig.add_vline(x=current_life, line_dash="dash", line_color="#7f8c8d", annotation_text="Current Life", annotation_position="top left")
        fig.update_traces(line_color='#1abc9c', line_width=3, marker=dict(size=8))
        fig.update_layout(
            plot_bgcolor='rgba(0,0,0,0)',
            paper_bgcolor='rgba(0,0,0,0)',
            font=dict(family="Poppins", size=12, color="#ecf0f1"),
            title_font=dict(size=18, color="#f1c40f"),
            showlegend=True,
            xaxis=dict(showgrid=True, gridcolor='rgba(255,255,255,0.2)'),
            yaxis=dict(showgrid=True, gridcolor='rgba(255,255,255,0.2)')
        )
        st.plotly_chart(fig, use_container_width=True)

    with col2:

        st.subheader("⏳ Current Component Life")
        st.markdown(f"""
            <div class="metric-card">
                <h3 style="color: #f1c40f;">Current Life</h3>
                <p style="font-size: 24px; color: #1abc9c; font-weight: bold;">{current_life:,.0f} jam</p>
            </div>
        """, unsafe_allow_html=True)


    st.subheader("⚙️ Simulasi Perpanjangan Umur Komponen")
    input_method = st.radio("Pilih metode input:", ["Slider", "Input Numerik"], horizontal=True)


    max_deviation = int(max_life - current_life)

    if input_method == "Slider":
        extended_life = st.slider(
            "Simulasikan Perpanjangan Umur Komponen Hingga (jam):",
            min_value=int(current_life + 100),
            max_value=int(max_life),
            value=int(min(current_life + 1000, max_life)),
            step=100,
            help="Geser untuk memilih umur komponen yang diinginkan"
        )
        deviation = extended_life - current_life
    else:
        deviation = st.number_input(
            "Masukkan Perpanjangan Umur Komponen Sebesar (jam):",
            min_value=100,
            max_value=max_deviation,
            value=min(1000, max_deviation),
            step=100,
            help="Masukkan jumlah jam perpanjangan dari current life"
        )
        extended_life = current_life + deviation


    st.markdown(f"**Umur Komponen Diperpanjang Hingga:** {extended_life:,.0f} jam (Perpanjangan: {deviation:,.0f} jam)", unsafe_allow_html=True)


    sim_df = unit_df[(unit_df['comp_life'] > current_life) & (unit_df['comp_life'] <= extended_life)]

    def hitung_avg_blowby(df, batas):
        tmp = df[['comp_life', 'blowby_press_max_act']].dropna().sort_values('comp_life')
        tmp = tmp[tmp['comp_life'] <= batas]
        if tmp.empty:
            return 0
        tail = tmp.tail(10)
        if len(tail) < 10:
            st.warning(f"Hanya {len(tail)} titik data (<= {batas} jam).")
        return tail['blowby_press_max_act'].mean()

    def hitung_avg_blowbyawal(df, batas):
        tmp = df[['comp_life', 'blowby_press_max_act']].dropna().sort_values('comp_life')
        tmp = tmp[tmp['comp_life'] <= batas]
        if tmp.empty:
            return 0
        tail = tmp.tail(30)
        if len(tail) < 30:
            st.warning(f"Hanya {len(tail)} titik data (<= {batas} jam).")
        return tail['blowby_press_max_act'].mean()

    def fuel_awal_data(df, batas):
        tmp = df[['comp_life', 'fuel_rate_act']].dropna().sort_values('comp_life')
        tmp = tmp[tmp['comp_life'] <= batas]
        if tmp.empty:
            return 0
        tail = tmp.tail(5)
        if len(tail) < 5:
            st.warning(f"Hanya {len(tail)} titik data (<= {batas} jam).")
        return tail['fuel_rate_act'].mean()
    
    def fuel_awal_setelah_replacement(df, batas):
        tmp = df[['comp_life', 'fuel_rate_act']].dropna().sort_values('comp_life')
        tmp = tmp[tmp['comp_life'] <= batas]
        if tmp.empty:
            return 0
        head = tmp.head(5)
        if len(head) < 5:
            st.warning(f"Hanya {len(head)} titik data (<= {batas} jam).")
        return head['fuel_rate_act'].mean()

    st.subheader("⛽ Prediksi Fuel Rate")
    avg_blowby_awal = fuel_awal_data(unit_df, current_life)
    avg_blowby_akhir = hitung_avg_blowby(unit_df, extended_life)
    fuel_setelah_replacement =fuel_awal_setelah_replacement(unit_df, extended_life)
    delta_life = extended_life - current_life
    fuel_rate_awal = (avg_blowby_awal * 0.004) + 71.86  # L/h
    fuel_rate_akhir = (avg_blowby_akhir * 0.004) + 71.86  # L/h

    hours_ext = extended_life - current_life
    fuel_usage = fuel_rate_akhir * hours_ext  # total L over extension

    col3, col4, col5 = st.columns(3)
    with col3:
        st.markdown(f"""
            <div class="metric-card">
                <h4 style="color: #34495e;">Fuel Rate Terakhir</h4>
                <p style="font-size: 20px; color: #3498db;">{fuel_rate_awal:.2f} L/h</p>
            </div>
        """, unsafe_allow_html=True)
    with col4:
        st.markdown(f"""
            <div class="metric-card">
                <h4 style="color: #34495e;">Fuel Akumulasi</h4>
                <p style="font-size: 20px; color: #3498db;">{(fuel_rate_akhir * delta_life):,.2f} L</p>
            </div>
        """, unsafe_allow_html=True)
    with col5:
        st.markdown(f"""
            <div class="metric-card">
                <h4 style="color: #34495e;">Total Extend</h4>
                <p style="font-size: 20px; color: #3498db;">{delta_life:,.2f} Hm</p>
            </div>
        """, unsafe_allow_html=True)

    if not sim_df.empty and sim_df['trendline_blow'].notna().any():
        last_f = sim_df['trendline_blow'].dropna().iloc[-1]
        fr_f = last_f * 0.004 + 71.86
        rpm_f = last_f * 0.034 + 1303.75
        col6, col7 = st.columns(2)
        with col6:
            st.markdown(f"""
                <div class="metric-card">
                    <h4 style="color: #34495e;">Fuel Rate Forecast</h4>
                    <p style="font-size: 20px; color: #e67e22;">{fr_f:.2f} L/h</p>
                </div>
            """, unsafe_allow_html=True)
        with col7:
            st.markdown(f"""
                <div class="metric-card">
                    <h4 style="color: #34495e;">Engine Speed Forecast</h4>
                    <p style="font-size: 20px; color: #e67e22;">{rpm_f:.2f} RPM</p>
                </div>
            """, unsafe_allow_html=True)


    st.subheader("💰 Analisis Keuntungan dan Kerugian")
    harga_engine = 110_000  # USD
    harga_fuel = 1  # USD/L

    cost_per_h = harga_engine / current_life
    saving = ((cost_per_h * delta_life) + (fuel_setelah_replacement* delta_life))
    fuel_cost = fuel_usage * harga_fuel
    net_savings = fuel_cost - saving

    col8, col9, col10 = st.columns(3)
    with col8:
        st.markdown(f"""
            <div class="metric-card">
                <h4 style="color: #34495e;">Cost Replacement</h4>
                <p style="font-size: 20px; color: #2ecc71;">USD {saving:,.2f}</p>
            </div>
        """, unsafe_allow_html=True)
    with col9:
        st.markdown(f"""
            <div class="metric-card">
                <h4 style="color: #34495e;">Cost Fuel (Extend)</h4>
                <p style="font-size: 20px; color: #e74c3c;">USD {fuel_cost:,.2f}</p>
            </div>
        """, unsafe_allow_html=True)
    with col10:
        st.markdown(f"""
            <div class="metric-card">
                <h4 style="color: #34495e;">Net Savings</h4>
                <p style="font-size: 20px; color: #9b59b6;">USD {net_savings:,.2f}</p>
            </div>
        """, unsafe_allow_html=True)

    st.subheader("Perbandingan Penghematan vs Biaya Fuel")
    fig2 = go.Figure()
    fig2.add_trace(go.Bar(
        x=[saving, fuel_cost],
        y=["Replacement Cost", "Fuel Cost if Extend"],
        orientation='h',
        marker=dict(color=['#2ecc71', '#e74c3c']),
        text=[f"USD {saving:,.2f}", f"USD {fuel_cost:,.2f}"],
        textposition='auto'
    ))
    fig2.update_layout(
        title="Perbandingan Biaya",
        title_font=dict(size=18, color="#f1c40f"),
        plot_bgcolor='rgba(0,0,0,0)',
        paper_bgcolor='rgba(0,0,0,0)',
        font=dict(family="Poppins", size=12, color="#ecf0f1"),
        showlegend=False,
        xaxis=dict(showgrid=True, gridcolor='rgba(255,255,255,0.2)'),
        yaxis=dict(showgrid=False)
    )
    st.plotly_chart(fig2, use_container_width=True)


    st.subheader("🔄 Opsi Tindakan")
    choice = st.radio("Pilih tindakan:", ["replacement/service", "extend component"], horizontal=True)
    if choice == "replacement/service":
        st.success("✅ Anda memilih untuk replacement component.")
    else:
        st.error("❌ Anda memilih untuk extend component.")


    if st.button("Submit"):
        st.session_state.submitted = True
        st.rerun()  # Mengganti st.experimental_rerun() dengan st.rerun()

    st.markdown("---")
    st.markdown("<p style='text-align: center; color: #ecf0f1;'>© 2025 Your Company. All Rights Reserved.</p>", unsafe_allow_html=True)