src/streamlit_app.py

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

# 1. SAYFA AYARLARI VE ÖZEL TASARIM (CSS)
st.set_page_config(layout="wide", page_title="Gold Intelligence Dashboard")

st.markdown("""
    <style>
    /* 1. Aydınlık Arka Plan */
    .stApp {
        background-color: #FFFFFF;
    }
    
    /* 2. Metrik Değerlerini Kocaman ve Kalın Yap (İsteğin Üzerine) */
    [data-testid="stMetricValue"] {
        font-size: 70px !important; 
        font-weight: 900 !important; 
        color: #B28F2D !important;
        line-height: 1.2;
    }
    
    /* 3. Metrik Etiketleri */
    [data-testid="stMetricLabel"] p {
        font-size: 20px !important;
        color: #333333 !important;
        font-weight: bold !important;
    }

    /* 4. GRAFİK KUTULARI (Siyah Çerçeve ve Gölge) */
    .plot-container {
        background-color: #000000;
        border-radius: 15px;
        padding: 20px;
        box-shadow: 0 8px 16px rgba(0,0,0,0.2);
        border: 1px solid #333333;
    }

    /* 5. Yazı Renklerini Sabitle */
    h1, h2, h3, h4, p, span {
        color: #1A1A1A !important;
    }
    </style>
    """, unsafe_allow_html=True)

# 2. VERİ YÜKLEME
@st.cache_data(show_spinner=False)
def load_data():
    df = pd.read_csv("gold_feature_engineered.csv")
    date_col = next((col for col in df.columns if col.lower() == 'date'), df.columns[0])
    df[date_col] = pd.to_datetime(df[date_col])
    df['YEAR'] = df[date_col].dt.year
    df = df.rename(columns={date_col: 'Date'})
    return df

try:
    df = load_data()
except Exception as e:
    st.error(f"Veri yükleme hatası: {e}")
    st.stop()

# 3. SIDEBAR
st.sidebar.markdown("<h2 style='color: #B28F2D;'>📅 Filtreler</h2>", unsafe_allow_html=True)
years_list = sorted([y for y in df['YEAR'].unique() if y >= 2008])
year = st.sidebar.selectbox("Yıl Seçin", options=years_list, index=0)
filtered_df = df[df['YEAR'] == year].copy()

# 4. ANA BAŞLIK (Tam İstediğin Şekilde)
st.markdown("<h1 style='text-align: center; color: #B28F2D; font-size: 42px;'>💰 Gold Price Intelligence / Altın Fiyat Analizi ve Stratejik Öngörü Paneli</h1>", unsafe_allow_html=True)
st.divider()

# 📈 METRİK KARTLARI (DEVASA BOYUT)
m1, m2, m3 = st.columns(3)
with m1:
    st.metric(label="Son Kapanış Fiyatı (GLD)", value=f"{filtered_df['GLD'].iloc[-1]:.2f}")
with m2:
    st.metric(label=f"{year} Tepe Noktası", value=f"{filtered_df['GLD'].max():.2f}")
with m3:
    st.metric(label=f"{year} Dip Noktası", value=f"{filtered_df['GLD'].min():.2f}")

st.divider()

# 5. YÖNETİCİ BİLGİ NOTU
st.markdown("## 💼 Yönetici Bilgi Notu / Executive Summary")
info_col1, info_col2 = st.columns(2)
box_style = "padding: 20px; border-left: 8px solid #B28F2D; background-color: #F9F9F9; border-radius: 10px;"
with info_col1:
    st.markdown(f"<div style='{box_style}'><h3>🇹🇷 {year} yılı verileri teknik analiz için uygundur.</h3></div>", unsafe_allow_html=True)
with info_col2:
    st.markdown(f"<div style='{box_style}'><h3>🇺🇸 Data for {year} is suitable for technical analysis.</h3></div>", unsafe_allow_html=True)

st.divider()

# 6. GRAFİKLER (GENİŞ VE KOYU KUTULU)
st.markdown(f"## 📈 {year} Piyasa Analizi")

# ANA GRAFİK (TAM GENİŞLİK)
fig1 = go.Figure()
fig1.add_trace(go.Scatter(x=filtered_df['Date'], y=filtered_df['GLD'],
                          line=dict(color='#FFD700', width=3),
                          fill='tozeroy', fillcolor='rgba(255, 215, 0, 0.1)'))
fig1.update_layout(template="plotly_dark", paper_bgcolor='black', plot_bgcolor='black', height=500, margin=dict(l=20,r=20,t=20,b=20))
st.plotly_chart(fig1, use_container_width=True)

st.write("") # Boşluk

# YAN YANA GRAFİKLER (GENİŞLETİLMİŞ)
c1, c2 = st.columns(2)
with c1:
    st.markdown("### 🎯 Dağılım / Distribution")
    fig2 = px.histogram(filtered_df, x="GLD", nbins=30, color_discrete_sequence=['#FFD700'], template="plotly_dark")
    fig2.update_layout(paper_bgcolor='black', plot_bgcolor='black', height=450)
    st.plotly_chart(fig2, use_container_width=True)

with c2:
    st.markdown("### 🌡️ Korelasyon / Correlation")
    num_df = filtered_df.select_dtypes(include=['number']).corr()
    fig3 = px.imshow(num_df, text_auto=True, color_continuous_scale='YlOrRd', template="plotly_dark")
    fig3.update_layout(paper_bgcolor='black', plot_bgcolor='black', height=450)
    st.plotly_chart(fig3, use_container_width=True)

st.divider()

# 7. DETAYLI VERİ SETİ (KAPALI - TIKLAYINCA AÇILIR)
with st.expander("📋 Detaylı Veri Seti / Detailed Dataset"):
    st.dataframe(filtered_df, use_container_width=True)
    csv = filtered_df.to_csv(index=False).encode('utf-8')
    st.download_button("📥 Veriyi İndir (CSV)", data=csv, file_name=f'altin_verisi_{year}.csv')