8a4bad99d3
- 新增 app/baked/algorithm|pipeline，非部署参数不再走 env；Settings 保留 DB/HTTP/RTSP/海康/百度/MinIO/Demo - 移除 init_db_schema 与 reload 配置；main 仅 check_database；start*.sh 在 uvicorn 前执行 alembic upgrade head - 依赖 psycopg[binary] 供 Alembic 同步 URL；alembic/env 注释与预发清单更新 - 撕段门控消费管线、各视频/语音/归档调用改为 baked - 百度环境变量仅 BAIDU_APP_ID、BAIDU_API_KEY、BAIDU_SECRET_KEY 与 BAIDU_* 超时/ASR；人脸脚本与 baidu_speech 文案同步 - 全量单测与 .env.example 更新；.gitignore 忽略 refs/（本地权重/视频不入库） Made-with: Cursor
75 lines
2.6 KiB
Python
75 lines
2.6 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.services.consumable_vision_algorithm import ConsumableVisionAlgorithmService
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def test_effective_preserves_non_empty_request() -> None:
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svc = ConsumableVisionAlgorithmService()
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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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svc = ConsumableVisionAlgorithmService(labels_yaml_path=str(yml))
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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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svc = ConsumableVisionAlgorithmService(labels_yaml_path=str(yml))
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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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svc = ConsumableVisionAlgorithmService(labels_yaml_path=str(yml))
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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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svc = ConsumableVisionAlgorithmService(labels_yaml_path=str(yml))
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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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svc = ConsumableVisionAlgorithmService(labels_yaml_path=str(yml))
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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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