From c1e164b1802ccfb411206a166c1f9d446278be2d Mon Sep 17 00:00:00 2001
From: Floke <floke.com@gmail.com>
Date: Fri, 20 Feb 2026 16:16:14 +0000
Subject: [PATCH] [2ff88f42] fix(test): Enhance mock data for opener test

---
 .../backend/tests/test_opener_logic.py        | 102 ++++++++++++++++++
 1 file changed, 102 insertions(+)
 create mode 100644 company-explorer/backend/tests/test_opener_logic.py

diff --git a/company-explorer/backend/tests/test_opener_logic.py b/company-explorer/backend/tests/test_opener_logic.py
new file mode 100644
index 00000000..8c6c1156
--- /dev/null
+++ b/company-explorer/backend/tests/test_opener_logic.py
@@ -0,0 +1,102 @@
+import sys
+import os
+import logging
+import unittest
+from unittest.mock import MagicMock, patch
+
+# Add backend path & activate venv if possible
+sys.path.insert(0, "/app")
+
+from backend.services.classification import ClassificationService
+from backend.database import Company, Industry
+
+# Setup basic logging
+logging.basicConfig(level=logging.INFO)
+
+class TestOpenerGeneration(unittest.TestCase):
+
+    def setUp(self):
+        """Set up a mock environment."""
+        self.service = ClassificationService()
+        
+        # Mock a database session
+        self.mock_db = MagicMock()
+
+        # Mock Industry object (as if read from DB)
+        self.mock_industry = Industry(
+            name="Leisure - Wet & Spa",
+            pains="Hohes Unfallrisiko durch Nässe, strenge Hygiene-Anforderungen.",
+            ops_focus_secondary=False 
+        )
+
+        # Mock Company object
+        self.mock_company = Company(
+            id=1,
+            name="Therme Erding",
+            industry_ai="Leisure - Wet & Spa"
+        )
+        # Add the fields we are testing
+        self.mock_company.ai_opener = None
+        self.mock_company.ai_opener_secondary = None
+
+    @patch('backend.services.classification.call_gemini_flash')
+    def test_dual_opener_generation(self, mock_gemini_call):
+        """
+        Test that both primary and secondary openers are generated and stored.
+        """
+        print("\n--- Running Integration Test for Dual Opener Generation ---")
+
+        # --- Configure Mocks ---
+        # Simulate different return values for primary and secondary calls
+        mock_gemini_call.side_effect = [
+            "Der reibungslose Betrieb ist entscheidend, um maximale Sicherheit zu gewährleisten.", # Mocked Primary
+            "Ein einzigartiges Gästeerlebnis ist der Schlüssel zum Erfolg."  # Mocked Secondary
+        ]
+        
+        # Mock the content loader to return some text
+        with patch.object(self.service, '_get_website_content_and_url', return_value=("Die Therme Erding ist die größte Therme der Welt.", "http://mock.com")):
+            # --- Execute the Method ---
+            print("1. Calling classify_company_potential...")
+            # We patch the metric extraction to isolate the opener logic
+            with patch.object(self.service, 'extract_metrics_for_industry', return_value=self.mock_company):
+                # The method under test!
+                result_company = self.service.classify_company_potential(self.mock_company, self.mock_db)
+
+        # --- Assertions ---
+        print("2. Verifying results...")
+
+        # 1. Check that Gemini was called twice
+        self.assertEqual(mock_gemini_call.call_count, 2, "❌ FAILED: AI model should have been called twice (for primary and secondary).")
+        print("   ✅ AI model was called twice.")
+
+        # 2. Check that the prompts contained the correct focus
+        first_call_args, _ = mock_gemini_call.call_args_list[0]
+        second_call_args, _ = mock_gemini_call.call_args_list[1]
+        self.assertIn("FOKUS: PRIMÄR-PROZESSE", first_call_args[0], "❌ FAILED: First call prompt did not have PRIMARY focus.")
+        print("   ✅ First call had PRIMARY focus.")
+        self.assertIn("FOKUS: SEKUNDÄR-PROZESSE", second_call_args[0], "❌ FAILED: Second call prompt did not have SECONDARY focus.")
+        print("   ✅ Second call had SECONDARY focus.")
+        
+        # 3. Check that the results were stored on the company object
+        self.assertIsNotNone(result_company.ai_opener, "❌ FAILED: ai_opener (primary) was not set.")
+        self.assertIsNotNone(result_company.ai_opener_secondary, "❌ FAILED: ai_opener_secondary was not set.")
+        print("   ✅ Both ai_opener fields were set on the company object.")
+        
+        # 4. Check content of the fields
+        self.assertIn("Sicherheit", result_company.ai_opener, "❌ FAILED: Primary opener content mismatch.")
+        print(f"   -> Primary Opener: '{result_company.ai_opener}'")
+        self.assertIn("Gästeerlebnis", result_company.ai_opener_secondary, "❌ FAILED: Secondary opener content mismatch.")
+        print(f"   -> Secondary Opener: '{result_company.ai_opener_secondary}'")
+        
+        print("\n--- ✅ PASSED: Dual Opener logic is working correctly. ---")
+
+if __name__ == '__main__':
+    # Patch the _load_industry_definitions to return our mock
+    with patch('backend.services.classification.ClassificationService._load_industry_definitions') as mock_load:
+         # Provide a description, so the classifier can match the industry
+        mock_load.return_value = [Industry(
+            name="Leisure - Wet & Spa", 
+            description="Thermalbad, Spa, Wasserwelten, Saunen und Rutschenparks.",
+            pains="Hygiene"
+        )]
+        unittest.main()