cdc3d3c4dc
- src/models.py: typisierte Verträge (dataclasses, Stdlib-only) - src/llm/claude_client.py: Adapter um 'claude -p' mit Mock-Fallback - src/agents/: BaseAgent + Vision, Market, Listing, Chat + Orchestrator - src/workflow.py: photo_to_listing() Fassade - spike/prototype.py + concept_spike.py: lauffähige End-to-End-Demo - tests/: 28 unittest-Tests (Mock-Pfad, offline deterministisch) Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
36 lines
1.2 KiB
Python
36 lines
1.2 KiB
Python
"""Tests für den Bildanalyse-Agenten (Mock-Pfad)."""
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import unittest
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from src.agents import ImageAnalysisAgent
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from src.llm import ClaudeClient
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from src.models import ItemAnalysis
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class ImageAnalysisTest(unittest.TestCase):
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def setUp(self):
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self.agent = ImageAnalysisAgent(ClaudeClient(mode="mock"))
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def test_returns_item_analysis(self):
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result = self.agent.run({"image_path": "fotos/sneaker_01.jpg"})
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self.assertIsInstance(result, ItemAnalysis)
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self.assertEqual(result.source, "mock")
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self.assertGreaterEqual(result.condition_score, 0.0)
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self.assertLessEqual(result.condition_score, 1.0)
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def test_keyword_routing_from_filename(self):
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result = self.agent.run({"image_path": "img/sneaker.png"})
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self.assertEqual(result.category, "Sneaker")
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self.assertEqual(result.brand, "Nike")
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def test_keyword_routing_from_description(self):
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result = self.agent.run({"description": "alte Spielkonsole mit Controller"})
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self.assertEqual(result.category, "Konsolen")
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def test_string_payload_accepted(self):
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result = self.agent.run("uhr_vintage.jpg")
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self.assertEqual(result.category, "Armbanduhren")
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if __name__ == "__main__":
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unittest.main()
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