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# 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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# You may obtain a copy of the License at
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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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import argparse
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from pathlib import Path
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from paddleocr._api_client import cli
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from paddleocr._api_client.results import OCRPage, OCRResult
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def test_cli_save_resources_uses_result_specific_helper(tmp_path, monkeypatch, capsys):
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class FakeClient:
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def __init__(self, **kwargs):
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self.kwargs = kwargs
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def ocr(self, **kwargs):
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return OCRResult(
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job_id="job-1",
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pages=[
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OCRPage(
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pruned_result={}, ocr_image_url="https://example.test/a.png"
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)
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],
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)
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def save_ocr_result_resources(self, result, destination, overwrite=False):
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assert result.job_id == "job-1"
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assert destination == str(tmp_path)
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assert overwrite is True
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return [str(Path(destination) / "ocr-page-1.png")]
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def close(self):
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return None
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monkeypatch.setattr(cli, "PaddleOCRClient", FakeClient)
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args = argparse.Namespace(
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token="token",
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client_platform=None,
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base_url=None,
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request_timeout=300.0,
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poll_timeout=600.0,
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model=None,
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model_type="ocr",
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file_url="https://example.test/input.pdf",
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file_path=None,
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output=None,
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save_resources=str(tmp_path),
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overwrite_resources=True,
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page_ranges=None,
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batch_id=None,
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use_doc_orientation_classify=None,
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use_doc_unwarping=None,
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use_textline_orientation=None,
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use_chart_recognition=None,
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use_seal_recognition=None,
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use_table_recognition=None,
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use_formula_recognition=None,
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use_layout_detection=None,
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text_det_limit_side_len=None,
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text_det_limit_type=None,
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text_rec_score_thresh=None,
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prettify_markdown=None,
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visualize=None,
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)
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cli._execute_api(args)
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captured = capsys.readouterr()
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assert '"jobId": "job-1"' in captured.out
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assert "Resources saved to:" in captured.err
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