# Reference: ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddleocr-genai-vllm-server:latest
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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from sglang.srt.models.paddleocr_vl import PaddleOCRVLForConditionalGeneration
from sglang.srt.multimodal.processors.base_processor import MultimodalSpecialTokens
from sglang.srt.multimodal.processors.qwen_vl import QwenVLImageProcessor


class PaddleOCRVLImageProcessor(QwenVLImageProcessor):
    models = [PaddleOCRVLForConditionalGeneration]

    def __init__(self, hf_config, server_args, _processor, *args, **kwargs):
        super().__init__(hf_config, server_args, _processor, *args, **kwargs)

        self.mm_tokens = MultimodalSpecialTokens(
            image_token="<|IMAGE_START|><|IMAGE_PLACEHOLDER|><|IMAGE_END|>",
            image_token_id=hf_config.image_token_id,
            video_token_id=hf_config.video_token_id,
        ).build(_processor)