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>
46 lines
1.6 KiB
Python
46 lines
1.6 KiB
Python
"""Tests für den Listing-Erstellung-Agenten (Mock-Pfad)."""
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import unittest
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from src.agents import ListingAgent
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from src.llm import ClaudeClient
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from src.models import ItemAnalysis, Listing, PriceSuggestion
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class ListingTest(unittest.TestCase):
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def setUp(self):
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self.agent = ListingAgent(ClaudeClient(mode="mock"))
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self.analysis = ItemAnalysis(
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title_guess="Over-Ear Kopfhörer", category="Kopfhörer",
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condition="Gebraucht – sehr gut", condition_score=0.85,
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brand="Sony", features=["Bluetooth", "ANC"],
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)
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self.price = PriceSuggestion(
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suggested_price=102.0, price_min=87.0, price_max=117.0,
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)
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def test_returns_listing(self):
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listing = self.agent.run((self.analysis, self.price))
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self.assertIsInstance(listing, Listing)
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self.assertEqual(listing.price, 102.0)
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def test_title_respects_ebay_limit(self):
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listing = self.agent.run((self.analysis, self.price))
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self.assertLessEqual(len(listing.title), 80)
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self.assertIn("Sony", listing.title)
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def test_category_id_mapped(self):
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listing = self.agent.run((self.analysis, self.price))
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self.assertEqual(listing.category_id, "112529") # Kopfhörer
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def test_item_specifics_present(self):
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listing = self.agent.run((self.analysis, self.price))
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self.assertEqual(listing.item_specifics.get("Marke"), "Sony")
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def test_dict_payload(self):
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listing = self.agent.run({"analysis": self.analysis, "price": self.price})
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self.assertIsInstance(listing, Listing)
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if __name__ == "__main__":
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unittest.main()
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