"""
Handles loading and saving of radar configuration profiles and target scenarios
from JSON files.
"""
import json
import os
import numpy as np

# Use files in the user's home directory to persist data
# across different project locations or versions.
PROFILES_FILE = os.path.join(os.path.expanduser("~"), ".radar_simulator_profiles.json")
SCENARIOS_FILE = os.path.join(os.path.expanduser("~"), ".radar_simulator_scenarios.json")

# --- Profile Management (Radar Configuration) ---

def load_profiles():
    """
    Loads radar configuration profiles from the JSON file.
    If the file doesn't exist or is corrupted, returns an empty dictionary.
    """
    if not os.path.exists(PROFILES_FILE):
        return {}
    try:
        with open(PROFILES_FILE, 'r') as f:
            profiles = json.load(f)
            if isinstance(profiles, dict):
                return profiles
            return {}
    except (IOError, json.JSONDecodeError):
        return {}

def save_profiles(profiles):
    """
    Saves the given profiles dictionary to the JSON file.
    Returns True on success, False on failure.
    """
    try:
        with open(PROFILES_FILE, 'w') as f:
            json.dump(profiles, f, indent=4)
        return True
    except IOError:
        return False

# --- Scenario Management (Target Lists) - NUOVE FUNZIONI ---

def load_scenarios():
    """
    Loads target scenarios (lists of targets) from the JSON file.
    """
    if not os.path.exists(SCENARIOS_FILE):
        return {}
    try:
        with open(SCENARIOS_FILE, 'r') as f:
            scenarios = json.load(f)
            # Basic validation to ensure it's a dictionary
            if isinstance(scenarios, dict):
                return scenarios
            return {}
    except (IOError, json.JSONDecodeError):
        return {}

def save_scenarios(scenarios):
    """
    Saves the given scenarios dictionary to the JSON file.

    The data structure is:
    {
        "ScenarioName1": [
            {"initial_position": [x,y,z], "velocity": [vx,vy,vz], "rcs": rcs_val},
            ...
        ],
        ...
    }
    """
    try:
        with open(SCENARIOS_FILE, 'w') as f:
            # np.ndarray is not JSON serializable, so convert to lists if needed
            # This is handled in the GUI layer before calling this function
            json.dump(scenarios, f, indent=4)
        return True
    except (IOError, TypeError):
        return False