"""
جلب بيانات ميدانية حقيقية من مصادر مفتوحة
لمحاكاة واقعية قبل النشر الفعلي
"""

print("="*70)
print("🌍 REAL FIELD DATA SOURCES FOR SENSOR CALIBRATION")
print("="*70)

# مصادر البيانات المفتوحة الواقعية
data_sources = {
    "NOAA Arctic Data": {
        "url": "https://www.ncei.noaa.gov/",
        "data_type": "Temperature, Pressure, Electric Fields",
        "format": "NetCDF, CSV, JSON",
        "useful_for": "Arctic weather patterns, storm events"
    },
    "NASA EarthData": {
        "url": "https://earthdata.nasa.gov/",
        "data_type": "Atmospheric electricity, Storm data",
        "format": "HDF5, NetCDF",
        "useful_for": "Global electric field patterns"
    },
    "Copernicus Sentinel": {
        "url": "https://scihub.copernicus.eu/",
        "data_type": "Satellite atmospheric data",
        "format": "SAFE, GeoTIFF",
        "useful_for": "Large-scale field measurements"
    },
    "WMO Observatories": {
        "url": "https://worldweather.wmo.int/",
        "data_type": "Weather station data",
        "format": "CSV, XML",
        "useful_for": "Localized field conditions"
    }
}

print("\n📡 ACTUAL DATA SOURCES (Not simulations):")
print("-" * 50)

for name, info in data_sources.items():
    print(f"\n🔹 {name}:")
    print(f"   • URL: {info['url']}")
    print(f"   • Data: {info['data_type']}")
    print(f"   • For: {info['useful_for']}")

print("\n" + "="*70)
print("🎯 PRACTICAL APPROACH: Use REAL data, not simulations")
print("="*70)

# كود عملي لجلب بيانات NOAA (مثال)
print("\n📥 SAMPLE CODE TO FETCH REAL DATA:")
print("-" * 50)

sample_code = """
# Example: Fetch Arctic temperature data from NOAA
import requests
import pandas as pd

def fetch_noaa_arctic_data(station_id="PANC"):
    # NOAA API endpoint for Arctic stations
    url = f"https://www.ncei.noaa.gov/access/services/data/v1"
    
    params = {
        'dataset': 'global-summary-of-the-day',
        'stations': station_id,
        'startDate': '2024-01-01',
        'endDate': '2024-01-07',
        'format': 'json'
    }
    
    try:
        response = requests.get(url, params=params)
        if response.status_code == 200:
            return pd.DataFrame(response.json())
    except Exception as e:
        print(f"Error fetching data: {e}")
    
    return None

# Use real data for sensor calibration simulation
real_data = fetch_noaa_arctic_data()
if real_data is not None:
    print(f"✅ Retrieved {len(real_data)} real data points")
    print(f"   Temperature range: {real_data['TEMP'].min()} to {real_data['TEMP'].max()}°C")
"""

print(sample_code)

print("\n" + "="*70)
print("🚀 NEXT STEP: Build calibration model with REAL field data")
print("="*70)

# خطة استخدام البيانات الحقيقية
plan = """
📋 PLAN FOR REAL DATA INTEGRATION:

1. Fetch 7 days of Arctic weather data from NOAA
2. Extract temperature, pressure, storm events
3. Use realistic electric field patterns from NASA
4. Apply your sensor models (offsets, α, gain)
5. Generate realistic "simulated field data"
6. Test calibration algorithms on realistic patterns

✅ RESULT: Field calibration tested on REAL patterns
           before actual field deployment
"""

print(plan)
