Prepare unique hard-negative training dataset
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@@ -55,6 +55,14 @@ def test_all_in_one_dockerfile_can_opt_into_ai_dependencies_without_base_install
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assert "libglib2.0-0" in dockerfile
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def test_all_in_one_dockerfile_copies_operator_scripts_for_runtime_use() -> None:
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dockerfile = (ROOT / "deploy" / "unraid" / "Dockerfile.all-in-one").read_text(encoding="utf-8")
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assert "COPY scripts/prepare_operator_real_data_samples.py /app/scripts/prepare_operator_real_data_samples.py" in dockerfile
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assert "COPY scripts/export_operator_yolo_tile_dataset.py /app/scripts/export_operator_yolo_tile_dataset.py" in dockerfile
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assert "COPY scripts/audit_operator_yolo_dataset_quality.py /app/scripts/audit_operator_yolo_dataset_quality.py" in dockerfile
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def test_compose_does_not_require_missing_root_env_file() -> None:
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compose = (ROOT / "docker-compose.yml").read_text(encoding="utf-8")
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