"""
Gradio Interface for Vector operations.
"""
import gradio as gr
import numpy as np
import json
from typing import Union

def parse_vector(vector_str: str) -> np.ndarray:
    try:
        v = json.loads(vector_str)
        arr = np.array(v, dtype=float)
        if arr.ndim != 1:
            raise ValueError("Vector must be 1-dimensional.")
        if arr.shape[0] == 0:
            raise ValueError("Vector cannot be empty.")
        return arr
    except (json.JSONDecodeError, TypeError, ValueError) as e_json:
        try:
            if not vector_str.strip():
                raise ValueError("Vector input is empty.")
            arr = np.array([float(x.strip()) for x in vector_str.split(',') if x.strip()], dtype=float)
            if arr.shape[0] == 0:
                raise ValueError("Vector cannot be empty after parsing.")
            return arr
        except ValueError as e_csv:
            raise gr.Error(f"Invalid vector format. Use JSON (e.g., [1,2,3]) or comma-separated (e.g., 1,2,3). Error: {e_csv} (Original JSON error: {e_json})")
        except Exception as e_gen:
            raise gr.Error(f"General error parsing vector: {e_gen}")

def format_output(data: Union[np.ndarray, float, str]) -> str:
    if isinstance(data, np.ndarray):
        return str(data.tolist())
    elif isinstance(data, (float, int, str)):
        return str(data)
    return "Output type not recognized."