c755f0affc
- Implemented `test_dose_parsing_simple.py` to validate the dose parsing workflow. - Created `test_dose_save.py` to verify the saving functionality of dose tracking. - Added `test_dose_save_simple.py` for programmatic testing of dose saving without UI interaction. - Developed `test_final_workflow.py` to test the complete dose tracking workflow, ensuring doses are preserved during edits. - Enhanced `conftest.py` with a mock pathology manager for testing. - Updated `test_data_manager.py` to include pathology manager in DataManager tests and ensure compatibility with new features.
71 lines
2.0 KiB
Python
71 lines
2.0 KiB
Python
#!/usr/bin/env python3
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"""
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Simple test for dynamic edit window creation without GUI display.
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"""
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import os
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import sys
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sys.path.append(os.path.join(os.path.dirname(__file__), "..", "src"))
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from data_manager import DataManager
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from medicine_manager import MedicineManager
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from pathology_manager import PathologyManager
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def test_dynamic_edit_data():
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"""Test that we can create dynamic edit data structures."""
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print("Testing dynamic edit data creation...")
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# Initialize managers
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medicine_manager = MedicineManager()
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pathology_manager = PathologyManager()
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# Load configurations
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pathologies = pathology_manager.get_all_pathologies()
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medicines = medicine_manager.get_all_medicines()
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print(f"✅ Loaded {len(pathologies)} pathologies:")
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for key, pathology in pathologies.items():
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print(f" - {key}: {pathology.display_name} ({pathology.scale_info})")
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print(f"✅ Loaded {len(medicines)} medicines:")
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for key, medicine in medicines.items():
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print(f" - {key}: {medicine.display_name} ({medicine.dosage_info})")
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# Test data creation
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test_data = {"Date": "2025-07-31", "Note": "Test entry"}
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# Add pathology values
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for pathology_key in pathologies:
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test_data[pathology_key] = 3
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# Add medicine values
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for medicine_key in medicines:
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test_data[medicine_key] = 1
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test_data[f"{medicine_key}_doses"] = "08:00: 25mg"
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print(f"✅ Created test data with {len(test_data)} fields")
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# Test data manager
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data_manager = DataManager(
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csv_file="thechart_data.csv",
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medicine_manager=medicine_manager,
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pathology_manager=pathology_manager,
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)
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# Check dynamic columns
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expected_columns = data_manager.get_expected_columns()
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print(f"✅ Data manager expects {len(expected_columns)} columns:")
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for col in expected_columns:
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print(f" - {col}")
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print("\n🎉 All dynamic data tests passed!")
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print("The pathology system is fully dynamic and integrated!")
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return True
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if __name__ == "__main__":
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test_dynamic_edit_data()
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