72 lines
2.5 KiB
Python
72 lines
2.5 KiB
Python
"""Tests for ContentTypeProfile implementations."""
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import pytest
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from detect.models import BrandDetection
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from detect.profiles.base import ContentTypeProfile, CropContext
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from detect.profiles.soccer import SoccerBroadcastProfile
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from detect.profiles.stubs import AdvertisingProfile, NewsBroadcastProfile, TranscriptProfile
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def test_soccer_satisfies_protocol():
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profile: ContentTypeProfile = SoccerBroadcastProfile()
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assert profile.name == "soccer_broadcast"
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def test_soccer_frame_extraction_config():
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cfg = SoccerBroadcastProfile().frame_extraction_config()
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assert cfg.fps > 0
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assert cfg.max_frames > 0
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def test_soccer_detection_config():
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cfg = SoccerBroadcastProfile().detection_config()
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assert 0 < cfg.confidence_threshold < 1
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assert isinstance(cfg.target_classes, list)
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def test_soccer_resolver_config():
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cfg = SoccerBroadcastProfile().resolver_config()
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assert cfg.fuzzy_threshold > 0
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def test_soccer_vlm_prompt():
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ctx = CropContext(image=b"fake", surrounding_text="Emirates", position_hint="top-center")
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prompt = SoccerBroadcastProfile().vlm_prompt(ctx)
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assert "brand" in prompt.lower()
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assert "Emirates" in prompt
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def test_soccer_aggregate_empty():
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report = SoccerBroadcastProfile().aggregate([])
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assert len(report.brands) == 0
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assert len(report.timeline) == 0
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def test_soccer_aggregate_groups():
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detections = [
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BrandDetection(brand="Nike", timestamp=1.0, duration=0.5, confidence=0.9, source="ocr"),
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BrandDetection(brand="Nike", timestamp=2.0, duration=0.5, confidence=0.8, source="ocr"),
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BrandDetection(brand="Adidas", timestamp=3.0, duration=0.5, confidence=0.7, source="logo_match"),
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]
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report = SoccerBroadcastProfile().aggregate(detections)
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assert "Nike" in report.brands
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assert "Adidas" in report.brands
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assert report.brands["Nike"].total_appearances == 2
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assert report.brands["Adidas"].total_appearances == 1
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assert report.timeline == sorted(report.timeline, key=lambda d: d.timestamp)
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def test_soccer_auxiliary_returns_empty():
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assert SoccerBroadcastProfile().auxiliary_detections("test.mp4") == []
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@pytest.mark.parametrize("stub_cls", [NewsBroadcastProfile, AdvertisingProfile, TranscriptProfile])
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def test_stubs_raise(stub_cls):
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stub = stub_cls()
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assert isinstance(stub.name, str)
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with pytest.raises(NotImplementedError):
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stub.frame_extraction_config()
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with pytest.raises(NotImplementedError):
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stub.resolver_config()
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