557fcee803
- Refine effective candidate consumables and classifier labels - Adjust vision algorithm, TSV logging, and video session wiring - Refresh client surgery HTTP contract doc and staging/video docs - Update settings, docker-compose prod, tests, and uv.lock Made-with: Cursor
81 lines
2.8 KiB
Python
81 lines
2.8 KiB
Python
"""effective_candidate_consumables / build_name_mapping：YAML 与分类模型，无 Excel。"""
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from __future__ import annotations
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from pathlib import Path
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from unittest.mock import MagicMock
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import pytest
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from app.config import Settings
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from app.services.consumable_vision_algorithm import ConsumableVisionAlgorithmService
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def test_effective_preserves_non_empty_request() -> None:
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svc = ConsumableVisionAlgorithmService(Settings())
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got = svc.effective_candidate_consumables([" 纱布 ", "缝线", "纱布"])
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assert got == ["纱布", "缝线"]
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def test_effective_empty_uses_model_when_yaml_has_no_names(
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tmp_path: Path, monkeypatch: pytest.MonkeyPatch
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) -> None:
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yml = tmp_path / "empty.yaml"
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yml.write_text("names: {}\nlabel_id: {}\n", encoding="utf-8")
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s = Settings(consumable_classifier_labels_yaml_path=str(yml))
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svc = ConsumableVisionAlgorithmService(s)
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mock_cls = MagicMock()
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mock_cls.names = {0: "ban", 1: "apple"}
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monkeypatch.setattr(svc, "_get_cls", lambda: mock_cls)
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assert svc.effective_candidate_consumables([]) == ["apple", "ban"]
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def test_effective_empty_prefers_yaml_class_names(tmp_path: Path) -> None:
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yml = tmp_path / "lab.yaml"
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yml.write_text(
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"names:\n 0: 商品甲\n 1: 商品乙\nlabel_id:\n 0: a\n 1: b\n",
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encoding="utf-8",
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)
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s = Settings(consumable_classifier_labels_yaml_path=str(yml))
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svc = ConsumableVisionAlgorithmService(s)
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assert svc.effective_candidate_consumables([]) == ["商品甲", "商品乙"]
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def test_effective_whitespace_only_treated_as_empty(
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tmp_path: Path, monkeypatch: pytest.MonkeyPatch
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) -> None:
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yml = tmp_path / "empty.yaml"
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yml.write_text("names: {}\nlabel_id: {}\n", encoding="utf-8")
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s = Settings(consumable_classifier_labels_yaml_path=str(yml))
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svc = ConsumableVisionAlgorithmService(s)
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mock_cls = MagicMock()
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mock_cls.names = {0: "x"}
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monkeypatch.setattr(svc, "_get_cls", lambda: mock_cls)
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assert svc.effective_candidate_consumables(["", " "]) == ["x"]
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def test_build_name_mapping_from_label_id(tmp_path: Path) -> None:
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yml = tmp_path / "lab.yaml"
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yml.write_text(
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"names:\n 0: 商品A\nlabel_id:\n 0: y1/y2\n",
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encoding="utf-8",
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)
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s = Settings(consumable_classifier_labels_yaml_path=str(yml))
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svc = ConsumableVisionAlgorithmService(s)
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m = svc.build_name_mapping(["商品A"])
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assert m["商品A"] == "y1/y2"
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def test_build_name_mapping_uses_name_when_no_id_in_yaml(
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tmp_path: Path,
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) -> None:
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yml = tmp_path / "lab.yaml"
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yml.write_text(
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"names:\n 0: 仅表内有的\nlabel_id: {}\n",
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encoding="utf-8",
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)
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s = Settings(consumable_classifier_labels_yaml_path=str(yml))
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svc = ConsumableVisionAlgorithmService(s)
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m = svc.build_name_mapping(["仅表内有的"])
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assert m["仅表内有的"] == "仅表内有的"
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