import os
import json
import random
from PIL import Image, ImageDraw, ImageFont

# 设置输出目录
OUTPUT_DIR = "palindrome_dataset/img"
os.makedirs(OUTPUT_DIR, exist_ok=True)

DIGIT_COLORS = ["black", "purple", "pink", "blue", "green"]
FONT_SIZE = 50

# 适配 Windows/Linux 字体路径
if os.name == "nt":  # Windows
    FONT_PATH = "C:/Windows/Fonts/arial.ttf"
else:  # Linux
    FONT_PATH = "/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf"

def generate_palindrome(length):
    """ 生成一个回文数字串 """
    half = [random.randint(1, 9) for _ in range(length // 2)]
    palindrome = half + half[::-1] if length % 2 == 0 else half + [random.randint(1, 9)] + half[::-1]
    return palindrome

def create_palindrome_image(file_name, palindrome):
    """ 创建回文数字图片，最后一个数字变成问号 """
    img_width = len(palindrome) * 60
    img_height = 100
    image = Image.new("RGB", (img_width, img_height), "white")
    draw = ImageDraw.Draw(image)

    try:
        font = ImageFont.truetype(FONT_PATH, FONT_SIZE)
    except OSError:
        print("⚠️ 字体文件未找到，使用 PIL 默认字体")
        font = ImageFont.load_default()

    for i, num in enumerate(palindrome[:-1]):
        color = random.choice(DIGIT_COLORS)
        draw.text((i * 60 + 10, 25), str(num), font=font, fill=color)

    # 最后一个数字换成问号
    draw.text(((len(palindrome) - 1) * 60 + 10, 25), "?", font=font, fill="red")

    image_path = f"{OUTPUT_DIR}/{file_name}"
    image.save(image_path)
    return image_path

def generate_json(file_name, data):
    """ 生成 JSON 文件 """
    with open(file_name, "w", encoding="utf-8") as f:
        json.dump(data, f, ensure_ascii=False, indent=4)

def main():
    # 生成 support.json（32 个完整回文）
    support_data = []
    for i in range(32):
        length = random.randint(5, 9)
        palindrome = generate_palindrome(length)
        file_name = f"support_{i + 1}.png"
        image_path = create_palindrome_image(file_name, palindrome)
        support_data.append({
            "id": f"support_{i + 1}",
            "image": [image_path],
            "question": "What is the missing number in this palindrome?",
            "answer": palindrome[-1]
        })

    generate_json("support.json", support_data)

    # 生成 query.json（100 个回文，独立）
    query_data = []
    for i in range(100):
        length = random.randint(5, 9)
        palindrome = generate_palindrome(length)
        file_name = f"query_{i + 1}.png"
        image_path = create_palindrome_image(file_name, palindrome)
        query_data.append({
            "id": f"query_{i + 1}",
            "image": [image_path],
            "question": "What is the missing number in this palindrome?",
            "answer": palindrome[-1]
        })

    generate_json("query.json", query_data)

    # 生成 training_shots_pool.json（独立的 32 组 shots，不和 support.json 重复）
    training_shots_pool = []
    for i in range(32):
        length = random.randint(5, 9)
        palindrome = generate_palindrome(length)
        file_name = f"training_shot_{i + 1}.png"
        image_path = create_palindrome_image(file_name, palindrome)
        training_shots_pool.append({
            "id": f"training_shot_{i + 1}",
            "image": [image_path],
            "question": "What is the missing number in this palindrome?",
            "answer": palindrome[-1]
        })

    generate_json("training_shots_pool.json", training_shots_pool)

    # 生成 training_query.json（独立的 50 个 query，不和 query.json 重复）
    training_queries = []
    for i in range(50):
        length = random.randint(5, 9)
        palindrome = generate_palindrome(length)
        file_name = f"training_query_{i + 1}.png"
        image_path = create_palindrome_image(file_name, palindrome)
        training_queries.append({
            "id": f"training_query_{i + 1}",
            "image": [image_path],
            "question": "What is the missing number in this palindrome?",
            "answer": palindrome[-1]
        })

    generate_json("training_query.json", training_queries)

    # 生成 training_data.json（50 组，每个 4 shots + 1 query）
    training_data = []
    for query in training_queries:
        chosen_shots = random.sample(training_shots_pool, 4)  # ✅ shots 现在只从 training_shots_pool 选

        messages = [{"role": "user", "content": [{"type": "text", "text": "Learn from the demos and give only the answer to the final question."}]}]

        for shot in chosen_shots:
            messages[0]["content"].append({"type": "image", "image": shot["image"][0]})
            messages[0]["content"].append({"type": "text", "text": f"Question: What is the missing number in this palindrome? Answer: {shot['answer']}\n"})

        messages[0]["content"].append({"type": "image", "image": query["image"][0]})
        messages[0]["content"].append({"type": "text", "text": "Question: What is the missing number in this palindrome? Answer: \n"})

        messages.append({"role": "assistant", "content": [{"type": "text", "text": str(query['answer'])}]})

        training_data.append({"id": query["id"], "messages": messages})

    generate_json("training_data.json", training_data)

    print("✅ 数据集生成完成！已保存 query.json、support.json、training_shots_pool.json、training_query.json 和 training_data.json！")

if __name__ == "__main__":
    main()