import math
from operator import itemgetter

from image_prediction.config import CONFIG
from image_prediction.transformer.transformer import Transformer
from image_prediction.utils import get_logger

logger = get_logger()


class ResponseTransformer(Transformer):
    def transform(self, data):
        logger.debug("ResponseTransformer.transform")
        return build_image_info(data)


def build_image_info(data: dict) -> dict:
    def compute_geometric_quotient():
        page_area_sqrt = math.sqrt(abs(page_width * page_height))
        image_area_sqrt = math.sqrt(abs(x2 - x1) * abs(y2 - y1))
        return image_area_sqrt / page_area_sqrt

    def is_max_image_to_page_quotient_breached(quotient, label):
        default_max_quotient = CONFIG.filters.image_to_page_quotient.max
        customized_entries = CONFIG.filters.image_to_page_quotient.customized.max
        max_quotient = customized_entries.get(label, default_max_quotient)
        max_quotient = max_quotient if max_quotient else default_max_quotient
        return bool(quotient > max_quotient)

    page_width, page_height, x1, x2, y1, y2, width, height, alpha = itemgetter(
        "page_width", "page_height", "x1", "x2", "y1", "y2", "width", "height", "alpha"
    )(data)

    quotient = round(compute_geometric_quotient(), 4)

    min_image_to_page_quotient_breached = bool(quotient < CONFIG.filters.image_to_page_quotient.min)
    max_image_to_page_quotient_breached = is_max_image_to_page_quotient_breached(
        quotient, data["classification"]["label"]
    )
    min_image_width_to_height_quotient_breached = bool(
        width / height < CONFIG.filters.image_width_to_height_quotient.min
    )
    max_image_width_to_height_quotient_breached = bool(
        width / height > CONFIG.filters.image_width_to_height_quotient.max
    )

    classification = data["classification"]
    representation = data["representation"]

    min_confidence_breached = bool(max(classification["probabilities"].values()) < CONFIG.filters.min_confidence)

    image_info = {
        "classification": classification,
        "representation": representation,
        "position": {"x1": x1, "x2": x2, "y1": y1, "y2": y2, "pageNumber": data["page_idx"] + 1},
        "geometry": {"width": width, "height": height},
        "alpha": alpha,
        "filters": {
            "geometry": {
                "imageSize": {
                    "quotient": quotient,
                    "tooLarge": max_image_to_page_quotient_breached,
                    "tooSmall": min_image_to_page_quotient_breached,
                },
                "imageFormat": {
                    "quotient": round(width / height, 4),
                    "tooTall": min_image_width_to_height_quotient_breached,
                    "tooWide": max_image_width_to_height_quotient_breached,
                },
            },
            "probability": {"unconfident": min_confidence_breached},
            "allPassed": not any(
                [
                    max_image_to_page_quotient_breached,
                    min_image_to_page_quotient_breached,
                    min_image_width_to_height_quotient_breached,
                    max_image_width_to_height_quotient_breached,
                    min_confidence_breached,
                ]
            ),
        },
    }

    return image_info