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>
40 lines
1.2 KiB
Python
40 lines
1.2 KiB
Python
"""Tests für die Datenmodelle / Serialisierung."""
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import json
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import unittest
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from src.models import (
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ChatReply,
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ItemAnalysis,
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Listing,
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ListingResult,
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PriceSuggestion,
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)
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class ModelsTest(unittest.TestCase):
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def _result(self) -> ListingResult:
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return ListingResult(
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analysis=ItemAnalysis(
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title_guess="Kopfhörer", category="Kopfhörer",
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condition="Gut", condition_score=0.8,
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),
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price=PriceSuggestion(suggested_price=99.0, price_min=84.0, price_max=114.0),
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listing=Listing(title="T", description="D", category_id="1", price=99.0),
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)
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def test_to_json_is_valid_and_roundtrips(self):
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result = self._result()
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parsed = json.loads(result.to_json())
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self.assertEqual(parsed["price"]["suggested_price"], 99.0)
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self.assertIn("title_guess", parsed["analysis"])
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self.assertEqual(parsed["listing"]["title"], "T")
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def test_defaults(self):
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reply = ChatReply(question="?", answer="!")
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self.assertFalse(reply.escalate)
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self.assertEqual(reply.source, "mock")
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if __name__ == "__main__":
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unittest.main()
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