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chore: import upstream snapshot with attribution
2026-07-13 11:59:26 +08:00

46 lines
1.6 KiB
Python

# Copyright (c) 2026 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
# limitations under the License.
from typing import Any
from typing_extensions import override
from ...providers import InferenceProvider
from ..shared.http_base import HTTPInferenceBase
from ..types import InferenceResult
from ..shared.http_result_parsers import parse_ocr_result
from .params import OCR_DEFAULT_PARAMS, OCR_RUNTIME_PARAMS
class OCRSelfHostedInference(HTTPInferenceBase):
def __init__(self, base_url: str, http_timeout: int = 600):
super().__init__(
base_url,
http_timeout,
api_key=None,
provider=InferenceProvider.SELF_HOSTED,
)
@override
def _get_endpoint(self) -> str:
return "ocr"
@override
def _get_params(self) -> tuple[set[str], dict[str, Any]]:
return set(OCR_RUNTIME_PARAMS.keys()), OCR_DEFAULT_PARAMS.copy()
@override
def _parse_result(self, response: dict[str, Any]) -> InferenceResult:
result_data = response.get("result", response)
return parse_ocr_result(result_data)