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82 lines
2.8 KiB
Python
82 lines
2.8 KiB
Python
import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).resolve().parents[2] / "apps" / "api"))
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from app.api.routes.asset_diagnosis import _build_diagnosis
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from packages.domain import Asset, AssetStatus, ClassificationStatus
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def _asset(name: str, mime_type: str, *, status=AssetStatus.READY, duration=None, quality_score=None):
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return Asset.create(
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workspace_id="workspace-1",
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project_id="project-1",
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library_id="library-1",
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name=name,
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storage_key=f"uploads/{name}",
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mime_type=mime_type,
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file_size=1024,
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duration=duration,
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status=status,
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classification_status=ClassificationStatus.COMPLETED,
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quality_score=quality_score,
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)
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def test_asset_diagnosis_reports_missing_video_gap():
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diagnosis = _build_diagnosis(
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"workspace-1",
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"project-1",
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[_asset("voice.mp3", "audio/mpeg"), _asset("image.jpg", "image/jpeg")],
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)
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assert diagnosis.readiness_score < 80
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assert diagnosis.video_assets == 0
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assert any(gap.key == "missing_video" and gap.severity == "critical" for gap in diagnosis.gaps)
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def test_asset_diagnosis_scores_ready_video_assets():
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used_asset = _asset("video-1.mp4", "video/mp4", duration=8)
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used_asset.metadata = {"generation_use_count": 1, "review_status": "pending_review"}
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diagnosis = _build_diagnosis(
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"workspace-1",
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"project-1",
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[
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used_asset,
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_asset("video-2.mp4", "video/mp4", duration=8),
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_asset("video-3.mov", "video/quicktime", duration=8),
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_asset("voice.mp3", "audio/mpeg"),
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],
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)
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assert diagnosis.readiness_score >= 80
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assert diagnosis.video_assets == 3
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assert diagnosis.voice_assets == 1
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assert diagnosis.estimated_video_count == 3
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assert diagnosis.used_assets == 1
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assert diagnosis.unused_assets == 3
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assert diagnosis.pending_review_assets == 1
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smart_view_counts = {item.key: item.count for item in diagnosis.smart_views}
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assert smart_view_counts["recommended"] == 3
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assert smart_view_counts["used"] == 1
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assert smart_view_counts["pending_review"] == 1
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def test_asset_diagnosis_flags_unready_and_low_quality_assets():
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diagnosis = _build_diagnosis(
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"workspace-1",
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"project-1",
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[
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_asset("video.mp4", "video/mp4", duration=10, quality_score=40),
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_asset("pending.mp4", "video/mp4", status=AssetStatus.UPLOADING),
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],
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)
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gap_keys = {gap.key for gap in diagnosis.gaps}
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assert "not_ready_assets" in gap_keys
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assert "low_quality_assets" in gap_keys
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smart_view_counts = {item.key: item.count for item in diagnosis.smart_views}
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assert smart_view_counts["needs_attention"] == 2
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assert smart_view_counts["high_risk"] == 1
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