import streamlit as st
import requests
import pandas as pd
import matplotlib.pyplot as plt

# 1. Sayfa Ayarı
st.set_page_config(page_title="Fatih Han Pro", layout="wide")

# 2. CSS: Başlık ve Panel Sabitleme
st.markdown("""
    <style>
    .block-container { padding-top: 3.5rem !important; }
    h1 { line-height: 1.8 !important; padding-bottom: 15px !important; }
    [data-testid="column"]:nth-child(2) { flex: 0 0 360px !important; min-width: 360px !important; }
    .stTabs [data-baseweb="tab-list"] { gap: 10px; }
    .stTabs [data-baseweb="tab"] { 
        height: 40px; 
        background-color: #313244; 
        border-radius: 5px; 
        color: white; 
        padding: 0px 20px;
    }
    </style>
    """, unsafe_allow_html=True)

@st.cache_data(ttl=600)
def verileri_cek():
    url = "https://api.exchangerate-api.com/v4/latest/TRY"
    try:
        oranlar = requests.get(url).json()["rates"]
        isimler = {
            "USD": "Amerikan Doları", "EUR": "Euro", "GBP": "İngiliz Sterlini",
            "KWD": "Kuveyt Dinarı", "BHD": "Bahreyn Dinarı", "OMR": "Umman Riyali",
            "JOD": "Ürdün Dinarı", "CHF": "İsviçre Frangı", "CAD": "Kanada Doları",
            "AUD": "Avustralya Doları", "SAR": "Suudi Riyali", "AED": "B.A.E Dirhemi",
            "QAR": "Katar Riyali", "JPY": "Japon Yeni", "RUB": "Rus Rublesi",
            "AZN": "Azerbaycan Manatı", "IQD": "Irak Dinarı", "NOK": "Norveç Kronu"
        }
        return pd.DataFrame([{"Kod": k, "Isim": isimler.get(k, f"{k} Birimi"), "Fiyat": round(1/v, 4)} for k, v in oranlar.items() if v != 0])
    except: return pd.DataFrame(columns=["Kod", "Isim", "Fiyat"])

if 'filtre' not in st.session_state: st.session_state.filtre = "Hepsi"
df_ana = verileri_cek()

st.title("📊 PİYASA TERMİNALİ V9.3")

# --- Kontroller ---
c1, c2, c3, c_search = st.columns([1, 1, 1, 3])
if c1.button("🏠 Hepsi"): st.session_state.filtre = "Hepsi"
if c2.button("⭐ Popüler"): st.session_state.filtre = "Populer"
if c3.button("📈 Değerli"): st.session_state.filtre = "Pahali"
arama = c_search.text_input("", placeholder="🔍 Ara...", label_visibility="collapsed").upper()

df_goster = df_ana.copy()
if arama: df_goster = df_goster[df_goster['Kod'].str.contains(arama) | df_goster['Isim'].str.upper().contains(arama)]
if st.session_state.filtre == "Populer":
    df_goster = df_goster[df_goster['Kod'].isin(["USD", "EUR", "GBP", "CHF", "KWD", "SAR", "AZN", "JPY"])]
elif st.session_state.filtre == "Pahali":
    df_goster = df_goster.sort_values(by="Fiyat", ascending=False)

# --- Ana Gövde ---
sol, sag = st.columns([7, 3])

with sol:
    st.dataframe(df_goster, use_container_width=True, height=580, hide_index=True)

with sag:
    with st.container(border=True):
        st.subheader("⚙️ İşlem Merkezi")
        secili_kod = st.selectbox("Döviz Seç", df_goster['Kod'].tolist(), key="sb_v93")
        secili_satir = df_goster[df_goster['Kod'] == secili_kod].iloc[0]
        fiyat = secili_satir['Fiyat']

        # --- SEKMELİ YAPI (TİTREMEYİ VE KARIŞIKLIĞI ÖNLER) ---
        tab1, tab2 = st.tabs(["🧮 Hesapla", "📈 Grafik"])

        with tab1:
            st.write(f"**{secili_satir['Isim']}**")
            miktar = st.number_input("Miktar (₺)", value=100.0)
            st.success(f"{round(miktar/fiyat, 2)} {secili_kod}")

        with tab2:
            fig, ax = plt.subplots(figsize=(4, 3))
            fig.patch.set_facecolor('#0e1117')
            ax.set_facecolor('#1e1e2e')
            y = [fiyat*0.99, fiyat*1.01, fiyat*0.98, fiyat*1.02, fiyat]
            ax.plot(["-4", "-3", "-2", "-1", "Bugün"], y, color='#cba6f7', marker='o')
            ax.tick_params(colors='white', labelsize=7)
            plt.tight_layout()
            st.pyplot(fig)