# Copyright (c) Alibaba, Inc. and its affiliates.
from typing import Any, Dict

from modelscope.metainfo import Pipelines
from modelscope.outputs import OutputKeys
from modelscope.pipelines.base import Input, Pipeline
from modelscope.pipelines.builder import PIPELINES
from modelscope.preprocessors import LoadImage
from modelscope.utils.constant import ModelFile, Tasks
from modelscope.utils.logger import get_logger

logger = get_logger()


@PIPELINES.register_module(
    Tasks.image_body_reshaping, module_name=Pipelines.image_body_reshaping)
class ImageBodyReshapingPipeline(Pipeline):

    def __init__(self, model: str, **kwargs):
        """
        use `model` to create a image body reshaping pipeline for prediction
        Args:
            model: model id on modelscope hub.
        """
        super().__init__(model=model, **kwargs)
        logger.info('body reshaping model init done')

    def preprocess(self, input: Input) -> Dict[str, Any]:
        img = LoadImage.convert_to_ndarray(input)
        result = {'img': img}
        return result

    def forward(self, input: Dict[str, Any]) -> Dict[str, Any]:
        output = self.model.inference(input['img'])
        result = {'outputs': output}
        return result

    def postprocess(self, inputs: Dict[str, Any]) -> Dict[str, Any]:
        output_img = inputs['outputs']
        return {OutputKeys.OUTPUT_IMG: output_img}