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

83 lines
2.6 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.
import argparse
from pathlib import Path
from paddleocr._api_client import cli
from paddleocr._api_client.results import OCRPage, OCRResult
def test_cli_save_resources_uses_result_specific_helper(tmp_path, monkeypatch, capsys):
class FakeClient:
def __init__(self, **kwargs):
self.kwargs = kwargs
def ocr(self, **kwargs):
return OCRResult(
job_id="job-1",
pages=[
OCRPage(
pruned_result={}, ocr_image_url="https://example.test/a.png"
)
],
)
def save_ocr_result_resources(self, result, destination, overwrite=False):
assert result.job_id == "job-1"
assert destination == str(tmp_path)
assert overwrite is True
return [str(Path(destination) / "ocr-page-1.png")]
def close(self):
return None
monkeypatch.setattr(cli, "PaddleOCRClient", FakeClient)
args = argparse.Namespace(
token="token",
client_platform=None,
base_url=None,
request_timeout=300.0,
poll_timeout=600.0,
model=None,
model_type="ocr",
file_url="https://example.test/input.pdf",
file_path=None,
output=None,
save_resources=str(tmp_path),
overwrite_resources=True,
page_ranges=None,
batch_id=None,
use_doc_orientation_classify=None,
use_doc_unwarping=None,
use_textline_orientation=None,
use_chart_recognition=None,
use_seal_recognition=None,
use_table_recognition=None,
use_formula_recognition=None,
use_layout_detection=None,
text_det_limit_side_len=None,
text_det_limit_type=None,
text_rec_score_thresh=None,
prettify_markdown=None,
visualize=None,
)
cli._execute_api(args)
captured = capsys.readouterr()
assert '"jobId": "job-1"' in captured.out
assert "Resources saved to:" in captured.err