# /// script
# requires-python = ">=3.10"
# dependencies = ["numpy"]
# ///
"""
@effect beam
@version 1.0.0
@author artdag

@description
Beam effect. Creates animated light beams / lasers from a starting
point to an ending point with glow effect.

@param start_x float
  @range 0 1
  @default 0
  Beam start X position (0-1).

@param start_y float
  @range 0 1
  @default 0.5
  Beam start Y position (0-1).

@param end_x float
  @range 0 1
  @default 1
  Beam end X position (0-1).

@param end_y float
  @range 0 1
  @default 0.5
  Beam end Y position (0-1).

@param thickness float
  @range 1 50
  @default 5
  Beam core thickness in pixels.

@param glow_radius float
  @range 0 100
  @default 20
  Outer glow size in pixels.

@param color list
  @default [0, 255, 255]
  Beam color RGB (default cyan).

@param intensity float
  @range 0 2
  @default 1.0
  Beam brightness.

@param pulse bool
  @default false
  Enable pulsing animation.

@param pulse_speed float
  @range 0.1 10
  @default 2.0
  Pulse animation speed.

@example
  (effect beam :start_x 0 :start_y 0.5 :end_x 1 :end_y 0.5)

@example
  ;; Reactive laser
  (effect beam :intensity (bind bass :range [0.5 2]) :color [255 0 0])
"""

import numpy as np


def process_frame(frame: np.ndarray, params: dict, state: dict) -> tuple:
    """
    Apply beam effect to a video frame.

    Args:
        frame: Input frame as numpy array (H, W, 3) RGB uint8
        params: Effect parameters
        state: Persistent state dict

    Returns:
        Tuple of (processed_frame, new_state)
    """
    start_x = params.get("start_x", 0)
    start_y = params.get("start_y", 0.5)
    end_x = params.get("end_x", 1)
    end_y = params.get("end_y", 0.5)
    thickness = params.get("thickness", 5)
    glow_radius = params.get("glow_radius", 20)
    color = params.get("color", [0, 255, 255])
    intensity = params.get("intensity", 1.0)
    pulse = params.get("pulse", False)
    pulse_speed = params.get("pulse_speed", 2.0)
    t = params.get("_time", 0)

    if state is None:
        state = {}

    h, w = frame.shape[:2]
    result = frame.copy().astype(np.float32)

    # Calculate beam endpoints in pixels
    x1, y1 = int(start_x * w), int(start_y * h)
    x2, y2 = int(end_x * w), int(end_y * h)

    # Apply pulse modulation
    if pulse:
        pulse_mod = 0.5 + 0.5 * np.sin(t * pulse_speed * 2 * np.pi)
        intensity = intensity * pulse_mod

    # Create coordinate grids
    y_coords, x_coords = np.mgrid[0:h, 0:w].astype(np.float32)

    # Calculate distance from each pixel to the line segment
    line_vec = np.array([x2 - x1, y2 - y1], dtype=np.float32)
    line_len = np.sqrt(line_vec[0]**2 + line_vec[1]**2)

    if line_len < 1:
        return frame, state

    line_unit = line_vec / line_len

    # Vector from start to each pixel
    px = x_coords - x1
    py = y_coords - y1

    # Project onto line
    proj_len = px * line_unit[0] + py * line_unit[1]
    proj_len = np.clip(proj_len, 0, line_len)

    # Closest point on line
    closest_x = x1 + proj_len * line_unit[0]
    closest_y = y1 + proj_len * line_unit[1]

    # Distance to closest point
    dist = np.sqrt((x_coords - closest_x)**2 + (y_coords - closest_y)**2)

    # Get beam color
    if isinstance(color, (list, tuple)) and len(color) >= 3:
        beam_color = np.array(color[:3], dtype=np.float32)
    else:
        beam_color = np.array([0, 255, 255], dtype=np.float32)

    # Core beam (bright center)
    core_mask = dist < thickness
    core_intensity = intensity * (1 - dist[core_mask] / max(1, thickness))
    for c in range(3):
        result[core_mask, c] = np.clip(
            result[core_mask, c] + beam_color[c] * core_intensity,
            0, 255
        )

    # Glow (fading outer region)
    glow_mask = (dist >= thickness) & (dist < thickness + glow_radius)
    glow_dist = dist[glow_mask] - thickness
    glow_intensity = intensity * 0.5 * (1 - glow_dist / max(1, glow_radius)) ** 2
    for c in range(3):
        result[glow_mask, c] = np.clip(
            result[glow_mask, c] + beam_color[c] * glow_intensity,
            0, 255
        )

    return result.astype(np.uint8), state