from langchain_core.tools import tool
from tools.image import decode_image, encode_image, save_image
from typing import Dict, Any, List, Optional
import numpy as np
from PIL import Image, ImageDraw, ImageFont, ImageEnhance, ImageFilter

@tool
def analyze_image(image_base64: str) -> Dict[str, Any]:
    """
    Analyze basic properties of an image (size, mode, color analysis, thumbnail preview).
    Args:
        image_base64 (str): Base64 encoded image string
    Returns:
        Dictionary with analysis result
    """
    try:
        img = decode_image(image_base64)
        width, height = img.size
        mode = img.mode

        if mode in ("RGB", "RGBA"):
            arr = np.array(img)
            avg_colors = arr.mean(axis=(0, 1))
            dominant = ["Red", "Green", "Blue"][np.argmax(avg_colors[:3])]
            brightness = avg_colors.mean()
            color_analysis = {
                "average_rgb": avg_colors.tolist(),
                "brightness": brightness,
                "dominant_color": dominant,
            }
        else:
            color_analysis = {"note": f"No color analysis for mode {mode}"}

        thumbnail = img.copy()
        thumbnail.thumbnail((100, 100))
        thumb_path = save_image(thumbnail, "thumbnails")
        thumbnail_base64 = encode_image(thumb_path)

        return {
            "dimensions": (width, height),
            "mode": mode,
            "color_analysis": color_analysis,
            "thumbnail": thumbnail_base64,
        }
    except Exception as e:
        return {"error": str(e)}

@tool
def transform_image(
    image_base64: str, operation: str, params: Optional[Dict[str, Any]] = None
) -> Dict[str, Any]:
    """
    Apply transformations: resize, rotate, crop, flip, brightness, contrast, blur, sharpen, grayscale.
    Args:
        image_base64 (str): Base64 encoded input image
        operation (str): Transformation operation
        params (Dict[str, Any], optional): Parameters for the operation
    Returns:
        Dictionary with transformed image (base64)
    """
    try:
        img = decode_image(image_base64)
        params = params or {}

        if operation == "resize":
            img = img.resize(
                (
                    params.get("width", img.width // 2),
                    params.get("height", img.height // 2),
                )
            )
        elif operation == "rotate":
            img = img.rotate(params.get("angle", 90), expand=True)
        elif operation == "crop":
            img = img.crop(
                (
                    params.get("left", 0),
                    params.get("top", 0),
                    params.get("right", img.width),
                    params.get("bottom", img.height),
                )
            )
        elif operation == "flip":
            if params.get("direction", "horizontal") == "horizontal":
                img = img.transpose(Image.FLIP_LEFT_RIGHT)
            else:
                img = img.transpose(Image.FLIP_TOP_BOTTOM)
        elif operation == "adjust_brightness":
            img = ImageEnhance.Brightness(img).enhance(params.get("factor", 1.5))
        elif operation == "adjust_contrast":
            img = ImageEnhance.Contrast(img).enhance(params.get("factor", 1.5))
        elif operation == "blur":
            img = img.filter(ImageFilter.GaussianBlur(params.get("radius", 2)))
        elif operation == "sharpen":
            img = img.filter(ImageFilter.SHARPEN)
        elif operation == "grayscale":
            img = img.convert("L")
        else:
            return {"error": f"Unknown operation: {operation}"}

        result_path = save_image(img)
        result_base64 = encode_image(result_path)
        return {"transformed_image": result_base64}

    except Exception as e:
        return {"error": str(e)}


@tool
def draw_on_image(
    image_base64: str, drawing_type: str, params: Dict[str, Any]
) -> Dict[str, Any]:
    """
    Draw shapes (rectangle, circle, line) or text onto an image.
    Args:
        image_base64 (str): Base64 encoded input image
        drawing_type (str): Drawing type
        params (Dict[str, Any]): Drawing parameters
    Returns:
        Dictionary with result image (base64)
    """
    try:
        img = decode_image(image_base64)
        draw = ImageDraw.Draw(img)
        color = params.get("color", "red")

        if drawing_type == "rectangle":
            draw.rectangle(
                [params["left"], params["top"], params["right"], params["bottom"]],
                outline=color,
                width=params.get("width", 2),
            )
        elif drawing_type == "circle":
            x, y, r = params["x"], params["y"], params["radius"]
            draw.ellipse(
                (x - r, y - r, x + r, y + r),
                outline=color,
                width=params.get("width", 2),
            )
        elif drawing_type == "line":
            draw.line(
                (
                    params["start_x"],
                    params["start_y"],
                    params["end_x"],
                    params["end_y"],
                ),
                fill=color,
                width=params.get("width", 2),
            )
        elif drawing_type == "text":
            font_size = params.get("font_size", 20)
            try:
                font = ImageFont.truetype("arial.ttf", font_size)
            except IOError:
                font = ImageFont.load_default()
            draw.text(
                (params["x"], params["y"]),
                params.get("text", "Text"),
                fill=color,
                font=font,
            )
        else:
            return {"error": f"Unknown drawing type: {drawing_type}"}

        result_path = save_image(img)
        result_base64 = encode_image(result_path)
        return {"result_image": result_base64}

    except Exception as e:
        return {"error": str(e)}


@tool
def generate_simple_image(
    image_type: str,
    width: int = 500,
    height: int = 500,
    params: Optional[Dict[str, Any]] = None,
) -> Dict[str, Any]:
    """
    Generate a simple image (gradient, noise, pattern, chart).
    Args:
        image_type (str): Type of image
        width (int), height (int)
        params (Dict[str, Any], optional): Specific parameters
    Returns:
        Dictionary with generated image (base64)
    """
    try:
        params = params or {}

        if image_type == "gradient":
            direction = params.get("direction", "horizontal")
            start_color = params.get("start_color", (255, 0, 0))
            end_color = params.get("end_color", (0, 0, 255))

            img = Image.new("RGB", (width, height))
            draw = ImageDraw.Draw(img)

            if direction == "horizontal":
                for x in range(width):
                    r = int(
                        start_color[0] + (end_color[0] - start_color[0]) * x / width
                    )
                    g = int(
                        start_color[1] + (end_color[1] - start_color[1]) * x / width
                    )
                    b = int(
                        start_color[2] + (end_color[2] - start_color[2]) * x / width
                    )
                    draw.line([(x, 0), (x, height)], fill=(r, g, b))
            else:
                for y in range(height):
                    r = int(
                        start_color[0] + (end_color[0] - start_color[0]) * y / height
                    )
                    g = int(
                        start_color[1] + (end_color[1] - start_color[1]) * y / height
                    )
                    b = int(
                        start_color[2] + (end_color[2] - start_color[2]) * y / height
                    )
                    draw.line([(0, y), (width, y)], fill=(r, g, b))

        elif image_type == "noise":
            noise_array = np.random.randint(0, 256, (height, width, 3), dtype=np.uint8)
            img = Image.fromarray(noise_array, "RGB")

        else:
            return {"error": f"Unsupported image_type {image_type}"}

        result_path = save_image(img)
        result_base64 = encode_image(result_path)
        return {"generated_image": result_base64}

    except Exception as e:
        return {"error": str(e)}


@tool
def combine_images(
    images_base64: List[str], operation: str, params: Optional[Dict[str, Any]] = None
) -> Dict[str, Any]:
    """
    Combine multiple images (collage, stack, blend).
    Args:
        images_base64 (List[str]): List of base64 images
        operation (str): Combination type
        params (Dict[str, Any], optional)
    Returns:
        Dictionary with combined image (base64)
    """
    try:
        images = [decode_image(b64) for b64 in images_base64]
        params = params or {}

        if operation == "stack":
            direction = params.get("direction", "horizontal")
            if direction == "horizontal":
                total_width = sum(img.width for img in images)
                max_height = max(img.height for img in images)
                new_img = Image.new("RGB", (total_width, max_height))
                x = 0
                for img in images:
                    new_img.paste(img, (x, 0))
                    x += img.width
            else:
                max_width = max(img.width for img in images)
                total_height = sum(img.height for img in images)
                new_img = Image.new("RGB", (max_width, total_height))
                y = 0
                for img in images:
                    new_img.paste(img, (0, y))
                    y += img.height
        else:
            return {"error": f"Unsupported combination operation {operation}"}

        result_path = save_image(new_img)
        result_base64 = encode_image(result_path)
        return {"combined_image": result_base64}

    except Exception as e:
        return {"error": str(e)}