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Tropical Island

RELEASING SOON*

*Soon means sometime later in 2024 however there is a near zero chance that the sales may not start until 19th of January 2025.

My apologies

The title was designed for 1440p resolution displays at an aspect 16:9

Luxury Beach Resort
Leaning On Palm Tree
On the Edge of Swimming Pool
Two Surfers
Peaceful Reading

GALACTIC TITLES AVAILABLE

Embark on a cosmic adventure

Start Exploring
Wooden Fishing Boat

SERVICES

Bro, trust me. If I were you, I'd agree that it is a scam. However, because I'm the business owner, I cannot legally call myself a scam because that would let you sue me. 

In my honest opinion, if you like the concept, you can buy one. If not, please move along and visit another website. 

ABOUT

Our Mission

ADRIANO TO THE STAR provides a revolutionary opportunity for individuals to own celestial bodies within the Andromeda galaxy. Our platform, inspired by the wonders of the cosmos, enables the buying and selling of licenses for stars, planets, and large Kepler objects. We aim to redefine the space industry by offering a unique and personalized experience for all space enthusiasts.

Learn More
Peaceful Reading

GALLERY

We will update the list of contact information later. I will list the database for the list of kepler objects currently known to api.nasa.gov

FOLLOW US

I will provide documentation on how I retrieved the request of constellations and kepler objects from https://api.nasa.gov/ here. 

import os
import requests

# Function to fetch data from NASA Exoplanet Archive API
def fetch_nasa_exoplanet_data(api_key):
    try:
        url = f"https://exoplanetarchive.ipac.caltech.edu/cgi-bin/nstedAPI/nph-nstedAPI?table=cumulative&select=kepid,kepoi_name,kepler_name,koi_disposition,koi_pdisposition,koi_score,koi_fpflag_nt&format=json&api_key={api_key}"
        response = requests.get(url)
        response.raise_for_status()
        return response.json()
    except requests.exceptions.RequestException as e:
        print(f"Failed to fetch data from NASA: {e}")
        return []

# Function to classify stars and exoplanets
def classify_objects(data):
    classifications = []
    for obj in data:
        classification = {
            "kepid": obj.get("kepid", "Unknown"),
            "kepoi_name": obj.get("kepoi_name", "Unknown"),
            "kepler_name": obj.get("kepler_name", "Unknown"),
            "koi_disposition": obj.get("koi_disposition", "Unknown"),
            "koi_pdisposition": obj.get("koi_pdisposition", "Unknown"),
            "koi_score": obj.get("koi_score", "Unknown"),
            "koi_fpflag_nt": obj.get("koi_fpflag_nt", "Unknown")
        }
        classifications.append(classification)
    return classifications

# Main function
def main():
    # Fetch API key from environment variables
    nasa_api_key = os.getenv("NASA_API_KEY")
    
    # Fetch data from NASA
    combined_data = fetch_nasa_exoplanet_data(nasa_api_key)
    
    # Classify objects based on their constellation
    classifications = classify_objects(combined_data)
    
    # Write the classifications to a text file
    output_file = "REDACTED\REDACTEDt"
    with open(output_file, "w") as file:
        for classification in classifications:
            file.write(f"{classification}\n")
    print(f"Output written to {output_file}")

if __name__ == "__main__":
    main()
 

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