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54 lines
1.7 KiB
Python
54 lines
1.7 KiB
Python
# Copyright (c) 2026 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import Dict
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from ..inference.base import Inference
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from ..selection import tool_for_model
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from .base import Task
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class TaskFactory:
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_registry: Dict[str, type[Task]] = {}
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@classmethod
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def register(cls, tool: str, task_class: type[Task]) -> None:
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cls._registry[tool] = task_class
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@classmethod
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def create(cls, model: str, inference: Inference) -> Task:
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tool = tool_for_model(model)
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if tool not in cls._registry:
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raise ValueError(
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f"Unknown tool for model {model!r}: {tool}. "
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f"Supported: {sorted(cls._registry.keys())}"
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)
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task_class = cls._registry[tool]
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return task_class(inference)
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@classmethod
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def list_supported(cls) -> set[str]:
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return set(cls._registry.keys())
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from .ocr import OCRTask
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from .doc_parsing import PPStructureV3Task, PaddleOCRVLTask
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TaskFactory.register("ocr", OCRTask)
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TaskFactory.register("pp_structurev3", PPStructureV3Task)
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TaskFactory.register("paddleocr_vl", PaddleOCRVLTask)
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def create_task(model: str, inference: Inference) -> Task:
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return TaskFactory.create(model, inference)
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