import cv2
import textwrap
from PIL import Image, ImageDraw, ImageFont
import numpy as np


def add_text(
    image,
    text,
    contour,
    font_path,
    initial_font_size=42,
    padding=10,
    line_spacing=1.25
):
    """
    Renderiza texto dentro de uma bolha usando o CONTOUR como referência.
    Prioriza quebra de linhas antes de reduzir a fonte.
    """

    # --- Extrai bounding box do contorno ---
    x, y, w, h = cv2.boundingRect(contour)

    img_pil = Image.fromarray(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))
    draw = ImageDraw.Draw(img_pil)

    font_size = initial_font_size
    wrapping_ratio = 0.9

    while font_size > 10:
        font = ImageFont.truetype(font_path, font_size)

        max_chars_per_line = max(
            1, int((w - 2 * padding) / (font_size * wrapping_ratio))
        )

        lines = textwrap.wrap(text, width=max_chars_per_line)

        # Evita linha única quando há espaço vertical
        min_lines = 2 if h > font_size * 2.5 else 1
        if len(lines) < min_lines:
            wrapping_ratio -= 0.03
            continue

        max_line_width = 0
        total_height = 0

        for line in lines:
            bbox_text = draw.textbbox((0, 0), line, font=font)
            lw = bbox_text[2] - bbox_text[0]
            lh = bbox_text[3] - bbox_text[1]
            max_line_width = max(max_line_width, lw)
            total_height += lh

        total_height = int(total_height * line_spacing)

        if (
            total_height <= (h - 2 * padding)
            and max_line_width <= (w - 2 * padding)
        ):
            break

        if max_line_width > (w - 2 * padding):
            wrapping_ratio -= 0.02
        else:
            font_size -= 1

    # --- Centralização ---
    current_y = y + padding + (h - total_height) // 2

    for line in lines:
        bbox_text = draw.textbbox((0, 0), line, font=font)
        lw = bbox_text[2] - bbox_text[0]
        lh = bbox_text[3] - bbox_text[1]

        text_x = x + (w - lw) // 2
        draw.text((text_x, current_y), line, fill=(0, 0, 0), font=font)

        current_y += int(lh * line_spacing)

    return cv2.cvtColor(np.array(img_pil), cv2.COLOR_RGB2BGR)