use anyhow::Context;
use image::DynamicImage;
use tract_onnx::onnx;
use tract_onnx::prelude::*;
// 关键点：直接使用 tract 重导出的 ndarray
use crate::utils::image_io::png_rgba_white_preprocess;
use crate::utils::image_processor::{convert_to_grayscale, resize_image};
use std::collections::HashMap;
use tract_onnx::prelude::tract_ndarray::s;

/// OCR 模型：包含路径和字符集

pub enum ModelType {
    Ocr,
    Det,
    Custom,
}
// 定义统一的 trait
pub trait ModelSession {
    fn get_model_type(&self) -> ModelType;
    fn desc(&self) -> String;
}

pub struct ModelLoader {
    pub session: RunnableModel<TypedFact, Box<dyn TypedOp>, Graph<TypedFact, Box<dyn TypedOp>>>,
}

impl ModelLoader {
    pub fn load_model<P>(model_path: P) -> anyhow::Result<Self>
    where
        P: AsRef<std::path::Path>,
    {
        let session = onnx()
            .model_for_path(model_path)
            .with_context(|| "加载 ONNX 模型失败，请检查路径是否正确")?
            .into_optimized()?
            .into_runnable()?;
        Ok(Self { session })
    }
}