import requests
import folium
import pandas as pd
from datetime import datetime, timedelta
import time
import os
import json

# Kandilli Rasathanesi API URL
KANDILLI_API_URL = "https://api.orhanaydogdu.com.tr/deprem/kandilli/live"
CACHE_DIR = os.path.join(os.path.dirname(__file__), "cache")
os.makedirs(CACHE_DIR, exist_ok=True)

def get_kandilli_data(hours=12, min_mag=1.0, use_cache=True, cache_max_age_minutes=15):
    """Kandilli Rasathanesi API'den son depremleri çek"""
    # Cache dosyası
    cache_file = os.path.join(CACHE_DIR, f"kandilli_data_{hours}h.json")
    
    # Önbellekten veri yükleme kontrolü
    if use_cache and os.path.exists(cache_file):
        file_age_minutes = (time.time() - os.path.getmtime(cache_file)) / 60
        if file_age_minutes < cache_max_age_minutes:
            try:
                with open(cache_file, 'r', encoding='utf-8') as f:
                    print(f"Loading cached data (age: {file_age_minutes:.1f} minutes)")
                    return json.load(f)
            except Exception as e:
                print(f"Cache loading error: {e}")
    
    # Zaman aralığını hesapla
    end_time = datetime.now()
    start_time = end_time - timedelta(hours=hours)
    
    try:
        # API isteği gönder
        print(f"Fetching earthquake data from Kandilli API for the last {hours} hours...")
        response = requests.get(KANDILLI_API_URL, timeout=10)
        response.raise_for_status()  # Hata kontrolü
        
        # JSON verisini al
        data = response.json()
        
        # Zaman aralığına ve minimum büyüklüğe göre filtrele
        if "result" in data:
            filtered_results = []
            for quake in data["result"]:
                try:
                    # Tarih formatını kontrol et ve dönüştür
                    quake_time = datetime.strptime(quake.get("date", ""), "%Y.%m.%d %H:%M:%S")
                    if quake_time >= start_time and float(quake.get("mag", 0)) >= min_mag:
                        filtered_results.append(quake)
                except (ValueError, TypeError) as e:
                    print(f"Date conversion error: {e}")
                    continue
            
            data["result"] = filtered_results
        
        # Önbelleğe kaydet
        with open(cache_file, 'w', encoding='utf-8') as f:
            json.dump(data, f, ensure_ascii=False)
        
        return data
    except Exception as e:
        print(f"Kandilli API error: {e}")
        
        # API hatası durumunda önbellekteki veriyi kullanmayı dene
        if os.path.exists(cache_file):
            try:
                with open(cache_file, 'r', encoding='utf-8') as f:
                    print(f"Using cached data due to API error")
                    return json.load(f)
            except Exception as cache_error:
                print(f"Cache error: {cache_error}")
        
        # Hiçbir veri yoksa boş sonuç döndür
        return {"result": []}

def create_quake_map(quake_data):
    """Deprem verilerini haritada göster"""
    # Boş veri kontrolü
    if not quake_data or "result" not in quake_data or not quake_data["result"]:
        # Boş harita döndür
        m = folium.Map(location=[39.0, 35.0], zoom_start=5)
        folium.Marker(
            [39.0, 35.0],
            popup="Deprem verisi bulunamadı",
            icon=folium.Icon(color="gray")
        ).add_to(m)
        return m
    
    # Deprem verilerini DataFrame'e dönüştür
    quakes = []
    for quake in quake_data["result"]:
        try:
            quakes.append({
                "id": quake.get("earthquake_id", ""),
                "time": quake.get("date", ""),
                "latitude": float(quake.get("geojson", {}).get("coordinates", [0, 0, 0])[1]),
                "longitude": float(quake.get("geojson", {}).get("coordinates", [0, 0, 0])[0]),
                "depth": float(quake.get("depth", 0)),
                "magnitude": float(quake.get("mag", 0)),
                "location": quake.get("title", ""),
                "type": quake.get("mag_type", "")
            })
        except (ValueError, TypeError, IndexError) as e:
            print(f"Data conversion error: {e}")
            continue
    
    df = pd.DataFrame(quakes)
    
    if df.empty:
        # Boş harita döndür
        m = folium.Map(location=[39.0, 35.0], zoom_start=5)
        folium.Marker(
            [39.0, 35.0],
            popup="Deprem verisi bulunamadı",
            icon=folium.Icon(color="gray")
        ).add_to(m)
        return m
    
    # Türkiye'nin merkezi
    center_lat = df["latitude"].mean()
    center_lon = df["longitude"].mean()
    
    # Harita oluştur
    m = folium.Map(location=[center_lat, center_lon], zoom_start=6)
    
    # Depremleri haritaya ekle
    for _, row in df.iterrows():
        # Büyüklüğe göre renk belirle
        if row["magnitude"] >= 5.0:
            color = "red"
        elif row["magnitude"] >= 4.0:
            color = "orange"
        elif row["magnitude"] >= 3.0:
            color = "yellow"
        else:
            color = "green"
        
        # Büyüklüğe göre çap belirle
        radius = row["magnitude"] * 5000
        
        # Popup içeriği
        popup_html = f"""
        <div style="font-family: Arial; width: 200px;">
            <h4>Deprem Bilgisi</h4>
            <b>Tarih:</b> {row["time"]}<br>
            <b>Büyüklük:</b> {row["magnitude"]}<br>
            <b>Derinlik:</b> {row["depth"]} km<br>
            <b>Konum:</b> {row["location"]}<br>
        </div>
        """
        
        # Dairesel işaret ekle
        folium.Circle(
            location=[row["latitude"], row["longitude"]],
            radius=radius,
            color=color,
            fill=True,
            fill_color=color,
            fill_opacity=0.4,
            popup=folium.Popup(popup_html, max_width=300)
        ).add_to(m)
        
        # Merkez noktası ekle
        folium.CircleMarker(
            location=[row["latitude"], row["longitude"]],
            radius=5,
            color=color,
            fill=True,
            fill_color="white",
            fill_opacity=0.7,
            popup=folium.Popup(popup_html, max_width=300)
        ).add_to(m)
    
    # Lejant ekle
    legend_html = """
    <div style="position: fixed; bottom: 50px; left: 50px; z-index: 1000; background-color: white; padding: 10px; border: 2px solid grey; border-radius: 5px;">
        <p><b>Deprem Büyüklüğü</b></p>
        <p><i class="fa fa-circle" style="color: red;"></i> ≥ 5.0</p>
        <p><i class="fa fa-circle" style="color: orange;"></i> 4.0 - 4.9</p>
        <p><i class="fa fa-circle" style="color: yellow;"></i> 3.0 - 3.9</p>
        <p><i class="fa fa-circle" style="color: green;"></i> < 3.0</p>
    </div>
    """
    m.get_root().html.add_child(folium.Element(legend_html))
    
    return m

def get_latest_quakes(hours=12, min_mag=1.0):
    """Son depremleri çek ve haritada göster"""
    # Verileri çek
    quake_data = get_kandilli_data(hours=hours, min_mag=min_mag)
    
    # Harita oluştur
    quake_map = create_quake_map(quake_data)
    
    # Son güncelleme bilgisi ekle
    timestamp = datetime.now().strftime("%d.%m.%Y %H:%M:%S")
    quake_map.get_root().html.add_child(folium.Element(
        f'<div style="position: fixed; top: 10px; right: 10px; z-index: 1000; background-color: white; padding: 5px; border-radius: 5px;">'
        f'Son Güncelleme: {timestamp}</div>'
    ))
    
    # HTML olarak döndür
    return quake_map._repr_html_()

# Test
if __name__ == "__main__":
    # Son depremleri çek
    quake_data = get_kandilli_data(hours=24)
    print(f"Fetched {len(quake_data.get('result', []))} earthquakes")
    
    # Haritayı oluştur
    quake_map = create_quake_map(quake_data)
    
    # Haritayı HTML olarak kaydet
    output_file = "son_depremler.html"
    quake_map.save(output_file)
    print(f"Map saved to {output_file}")