import requests
import json
import pandas as pd
from datetime import datetime
import os
class DataPipeline:
def __init__(self, api_keys):
self.api_keys = api_keys
self.data_dir = "data/"
def fetch_weather_data(self, lat, lon):
"""Fetch real weather for IoT augmentation."""
url = f"https://api.openweathermap.org/data/2.5/weather?lat={lat}&lon={lon}&appid={self.api_keys['openweather']}"
response = requests.get(url)
if response.status_code == 200:
data = response.json()
return {
"temperature": data["main"]["temp"] - 273.15, # Celsius
"humidity": data["main"]["humidity"],
"wind_speed": data["wind"]["speed"]
}
return None
def fetch_satellite_water(self, lat, lon):
"""Fetch NASA satellite water data."""
# Placeholder for NASA Earthdata API
url = f"https://api.nasa.gov/planetary/earth/imagery?lon={lon}&lat={lat}&date=2023-01-01&api_key={self.api_keys['nasa']}"
response = requests.get(url)
if response.status_code == 200:
return {"water_index": 0.7} # Simulated
return None
def augment_regions_data(self):
"""Augment planetary_regions.json with real data."""
with open(os.path.join(self.data_dir, "planetary_regions.json"), "r") as f:
regions = json.load(f)["regions"]
for region in regions:
lat, lon = region["coordinates"]
weather = self.fetch_weather_data(lat, lon)
satellite = self.fetch_satellite_water(lat, lon)
if weather:
region["real_weather"] = weather
if satellite:
region["real_water"] = satellite
region["last_updated"] = datetime.utcnow().isoformat()
with open(os.path.join(self.data_dir, "planetary_regions_augmented.json"), "w") as f:
json.dump({"regions": regions}, f, indent=2)
print("Data augmented and saved.")
# Example
pipeline = DataPipeline({"openweather": "your_key", "nasa": "your_key"})
pipeline.augment_regions_data()
