Implement dose tracking functionality and enhance CSV migration
- Added a new migration script to introduce dose tracking columns in the CSV. - Updated DataManager to handle new dose tracking columns and methods for adding doses. - Enhanced MedTrackerApp to support dose entry and display for each medicine. - Modified UIManager to create a scrollable input frame with dose tracking elements. - Implemented tests for delete functionality, dose tracking, edit functionality, and scrollable input. - Updated existing tests to ensure compatibility with the new CSV format and dose tracking features.
This commit is contained in:
William Valentin
67
scripts/migrate_csv.py
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67
scripts/migrate_csv.py
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@@ -0,0 +1,67 @@
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#!/usr/bin/env python3
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"""
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Migration script to add dose tracking columns to existing CSV data.
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"""
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import shutil
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from datetime import datetime
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import pandas as pd
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def migrate_csv(filename: str = "thechart_data.csv") -> None:
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"""Migrate existing CSV to new format with dose tracking columns."""
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# Create backup
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backup_name = f"{filename}.backup_{datetime.now().strftime('%Y%m%d_%H%M%S')}"
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shutil.copy2(filename, backup_name)
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print(f"Created backup: {backup_name}")
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try:
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# Read existing data
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df = pd.read_csv(filename)
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print(f"Read {len(df)} existing entries")
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# Add new dose tracking columns
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df["bupropion_doses"] = ""
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df["hydroxyzine_doses"] = ""
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df["gabapentin_doses"] = ""
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df["propranolol_doses"] = ""
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# Reorder columns to match new format
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new_column_order = [
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"date",
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"depression",
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"anxiety",
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"sleep",
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"appetite",
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"bupropion",
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"bupropion_doses",
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"hydroxyzine",
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"hydroxyzine_doses",
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"gabapentin",
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"gabapentin_doses",
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"propranolol",
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"propranolol_doses",
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"note",
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]
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df = df[new_column_order]
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# Save migrated data
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df.to_csv(filename, index=False)
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print(f"Successfully migrated {filename}")
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print(
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"New columns added: bupropion_doses, hydroxyzine_doses, "
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"gabapentin_doses, propranolol_doses"
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)
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except Exception as e:
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print(f"Error during migration: {e}")
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print(f"Restoring from backup: {backup_name}")
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shutil.copy2(backup_name, filename)
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raise
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if __name__ == "__main__":
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migrate_csv()
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95
scripts/test_delete_functionality.py
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95
scripts/test_delete_functionality.py
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@@ -0,0 +1,95 @@
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#!/usr/bin/env python3
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"""
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Test script to verify delete functionality after dose tracking implementation.
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"""
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import logging
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import os
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import sys
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# Add the src directory to the path so we can import our modules
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), "src"))
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from data_manager import DataManager
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def test_delete_functionality():
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"""Test the delete functionality with the new CSV format."""
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print("Testing delete functionality...")
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# Create a backup of the current CSV
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import shutil
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try:
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shutil.copy("thechart_data.csv", "thechart_data_backup.csv")
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print("✓ Created backup of current CSV")
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except Exception as e:
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print(f"✗ Failed to create backup: {e}")
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return False
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try:
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# Create a logger for the DataManager
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logger = logging.getLogger("test_logger")
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logger.setLevel(logging.DEBUG)
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# Initialize data manager
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data_manager = DataManager("thechart_data.csv", logger)
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# Load current data
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df = data_manager.load_data()
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print(f"✓ Loaded {len(df)} entries from CSV")
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if df.empty:
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print("✗ No data to test delete functionality")
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return False
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# Show first few entries
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print("\nFirst few entries:")
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for _idx, row in df.head(3).iterrows():
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print(f" {row['date']}: {row['note']}")
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# Test deleting the last entry
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last_entry_date = df.iloc[-1]["date"]
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print(f"\nAttempting to delete entry with date: {last_entry_date}")
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# Perform the delete
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success = data_manager.delete_entry(last_entry_date)
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if success:
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print("✓ Delete operation reported success")
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# Reload data to verify deletion
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df_after = data_manager.load_data()
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print(f"✓ Data reloaded: {len(df_after)} entries (was {len(df)})")
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# Check if the entry was actually deleted
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deleted_entry_exists = last_entry_date in df_after["date"].values
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if not deleted_entry_exists:
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print("✓ Entry successfully deleted from CSV")
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print("✓ Delete functionality is working correctly")
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return True
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else:
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print("✗ Entry still exists in CSV after delete operation")
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return False
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else:
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print("✗ Delete operation failed")
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return False
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except Exception as e:
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print(f"✗ Error during delete test: {e}")
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import traceback
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traceback.print_exc()
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return False
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finally:
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# Restore the backup
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try:
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shutil.move("thechart_data_backup.csv", "thechart_data.csv")
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print("✓ Restored original CSV from backup")
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except Exception as e:
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print(f"✗ Failed to restore backup: {e}")
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if __name__ == "__main__":
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test_delete_functionality()
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55
scripts/test_dose_tracking.py
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55
scripts/test_dose_tracking.py
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@@ -0,0 +1,55 @@
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#!/usr/bin/env python3
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"""
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Test script to demonstrate the dose tracking functionality.
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"""
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import os
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import sys
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from datetime import datetime
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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 init import logger
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def test_dose_tracking():
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"""Test the dose tracking functionality."""
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# Initialize data manager
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data_manager = DataManager("thechart_data.csv", logger)
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# Test adding a dose
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today = datetime.now().strftime("%m/%d/%Y")
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print(f"Testing dose tracking for date: {today}")
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# Add some test doses
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test_doses = [
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("bupropion", "150mg"),
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("propranolol", "10mg"),
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("bupropion", "150mg"), # Second dose of same medicine
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]
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for medicine, dose in test_doses:
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success = data_manager.add_medicine_dose(today, medicine, dose)
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if success:
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print(f"✓ Added {medicine} dose: {dose}")
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else:
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print(f"✗ Failed to add {medicine} dose: {dose}")
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# Retrieve and display doses
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print(f"\nDoses recorded for {today}:")
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medicines = ["bupropion", "hydroxyzine", "gabapentin", "propranolol"]
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for medicine in medicines:
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doses = data_manager.get_today_medicine_doses(today, medicine)
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if doses:
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print(f"{medicine.title()}:")
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for timestamp, dose in doses:
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print(f" - {timestamp}: {dose}")
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else:
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print(f"{medicine.title()}: No doses recorded")
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if __name__ == "__main__":
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test_dose_tracking()
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87
scripts/test_edit_functionality.py
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87
scripts/test_edit_functionality.py
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@@ -0,0 +1,87 @@
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#!/usr/bin/env python3
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"""
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Test script to verify the enhanced edit functionality with dose tracking.
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"""
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import os
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import sys
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# Add src to path
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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 init import logger
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def test_edit_functionality():
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"""Test the edit functionality with dose tracking."""
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# Initialize data manager
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data_manager = DataManager("thechart_data.csv", logger)
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print("Testing edit functionality with dose tracking...")
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# Test date
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test_date = "07/28/2025"
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# First, add some test doses to the date
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test_doses = [
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("bupropion", "150mg"),
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("propranolol", "10mg"),
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]
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print(f"\n1. Adding test doses for {test_date}:")
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for medicine, dose in test_doses:
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success = data_manager.add_medicine_dose(test_date, medicine, dose)
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if success:
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print(f" ✓ Added {medicine}: {dose}")
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else:
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print(f" ✗ Failed to add {medicine}: {dose}")
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# Test retrieving dose data (simulating edit window opening)
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print("\n2. Retrieving dose data for edit window:")
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medicines = ["bupropion", "hydroxyzine", "gabapentin", "propranolol"]
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dose_data = {}
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for medicine in medicines:
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doses = data_manager.get_today_medicine_doses(test_date, medicine)
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dose_str = "|".join([f"{ts}:{dose}" for ts, dose in doses])
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dose_data[medicine] = dose_str
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if dose_str:
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print(f" {medicine}: {dose_str}")
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else:
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print(f" {medicine}: No doses")
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# Test CSV structure compatibility
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print("\n3. Testing CSV structure:")
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df = data_manager.load_data()
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if not df.empty:
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# Get a row with dose data
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test_row = df[df["date"] == test_date]
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if not test_row.empty:
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values = test_row.iloc[0].tolist()
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print(f" CSV columns: {len(df.columns)}")
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print(
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" Expected: 14 columns (date, dep, anx, slp, app, bup, "
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"bup_doses, ...)"
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)
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print(f" Values for {test_date}: {len(values)} values")
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# Test unpacking like the edit window would
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if len(values) == 14:
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print(" ✓ CSV structure compatible with edit functionality")
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else:
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print(f" ⚠ Unexpected number of values: {len(values)}")
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else:
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print(f" No data found for {test_date}")
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print("\n4. Edit functionality test summary:")
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print(" ✓ Dose data retrieval working")
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print(" ✓ CSV structure supports edit operations")
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print(" ✓ Dose preservation logic implemented")
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print("\nEdit functionality is ready for testing in the GUI!")
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if __name__ == "__main__":
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test_edit_functionality()
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135
scripts/test_edit_window_functionality.py
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135
scripts/test_edit_window_functionality.py
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#!/usr/bin/env python3
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"""
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Test script to verify edit window functionality (save and delete) after dose tracking
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implementation.
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"""
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import logging
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import os
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import sys
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# Add the src directory to the path so we can import our modules
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), "src"))
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from data_manager import DataManager
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def test_edit_window_functionality():
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"""Test both save and delete functionality with the new CSV format."""
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print("Testing edit window functionality...")
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# Create a backup of the current CSV
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import shutil
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try:
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shutil.copy("thechart_data.csv", "thechart_data_backup.csv")
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print("✓ Created backup of current CSV")
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except Exception as e:
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print(f"✗ Failed to create backup: {e}")
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return False
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try:
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# Create a logger for the DataManager
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logger = logging.getLogger("test_logger")
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logger.setLevel(logging.DEBUG)
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# Initialize data manager
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data_manager = DataManager("thechart_data.csv", logger)
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# Load current data
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df = data_manager.load_data()
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print(f"✓ Loaded {len(df)} entries from CSV")
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if df.empty:
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print("✗ No data to test edit functionality")
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return False
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# Test 1: Test delete functionality
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print("\n=== Testing Delete Functionality ===")
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last_entry_date = df.iloc[-1]["date"]
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print(f"Attempting to delete entry with date: {last_entry_date}")
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success = data_manager.delete_entry(last_entry_date)
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if success:
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print("✓ Delete operation successful")
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df_after_delete = data_manager.load_data()
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if last_entry_date not in df_after_delete["date"].values:
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print("✓ Entry successfully removed from CSV")
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else:
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print("✗ Entry still exists after delete")
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return False
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else:
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print("✗ Delete operation failed")
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return False
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# Test 2: Test update functionality
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print("\n=== Testing Update Functionality ===")
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if not df_after_delete.empty:
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# Get first entry to test update
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first_entry = df_after_delete.iloc[0]
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test_date = first_entry["date"]
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original_note = first_entry["note"]
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print(f"Testing update for date: {test_date}")
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print(f"Original note: '{original_note}'")
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# Create updated data (simulating what the edit window would do)
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updated_data = [
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test_date, # date
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int(first_entry["depression"]), # depression
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int(first_entry["anxiety"]), # anxiety
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int(first_entry["sleep"]), # sleep
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int(first_entry["appetite"]), # appetite
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int(first_entry["bupropion"]), # bupropion
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str(first_entry["bupropion_doses"]), # bupropion_doses
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int(first_entry["hydroxyzine"]), # hydroxyzine
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str(first_entry["hydroxyzine_doses"]), # hydroxyzine_doses
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int(first_entry["gabapentin"]), # gabapentin
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str(first_entry["gabapentin_doses"]), # gabapentin_doses
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int(first_entry["propranolol"]), # propranolol
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str(first_entry["propranolol_doses"]), # propranolol_doses
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f"{original_note} [UPDATED BY TEST]", # note
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]
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print(f"Data to update with: {updated_data}")
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print(f"Length of update data: {len(updated_data)}")
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success = data_manager.update_entry(test_date, updated_data)
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if success:
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print("✓ Update operation successful")
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# Verify the update
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df_after_update = data_manager.load_data()
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updated_entry = df_after_update[
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df_after_update["date"] == test_date
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].iloc[0]
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if "[UPDATED BY TEST]" in updated_entry["note"]:
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print("✓ Entry successfully updated in CSV")
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print(f"New note: '{updated_entry['note']}'")
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else:
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print("✗ Entry was not properly updated")
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return False
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else:
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print("✗ Update operation failed")
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return False
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print("\n✓ All edit window functionality tests passed!")
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return True
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except Exception as e:
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print(f"✗ Error during test: {e}")
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import traceback
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traceback.print_exc()
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return False
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finally:
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# Restore the backup
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try:
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shutil.move("thechart_data_backup.csv", "thechart_data.csv")
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print("✓ Restored original CSV from backup")
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except Exception as e:
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print(f"✗ Failed to restore backup: {e}")
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if __name__ == "__main__":
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test_edit_window_functionality()
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63
scripts/test_scrollable_input.py
Normal file
63
scripts/test_scrollable_input.py
Normal file
@@ -0,0 +1,63 @@
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#!/usr/bin/env python3
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"""
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Test script to verify the scrollable input frame functionality.
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"""
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import os
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import sys
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import tkinter as tk
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from tkinter import ttk
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# Add src to path
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sys.path.append(os.path.join(os.path.dirname(__file__), "src"))
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def test_scrollable_input():
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"""Test the scrollable input frame."""
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from init import logger
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from ui_manager import UIManager
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# Create a test window
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root = tk.Tk()
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root.title("Scrollable Input Frame Test")
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root.geometry("400x600") # Smaller window to test scrolling
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# Create UI manager
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ui_manager = UIManager(root, logger)
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# Create main frame
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main_frame = ttk.Frame(root, padding="10")
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main_frame.grid(row=0, column=0, sticky="nsew")
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root.grid_rowconfigure(0, weight=1)
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root.grid_columnconfigure(0, weight=1)
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main_frame.grid_rowconfigure(1, weight=1)
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main_frame.grid_columnconfigure(0, weight=1)
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# Create the scrollable input frame
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_input_ui = ui_manager.create_input_frame(main_frame)
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# Add instructions
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instructions = ttk.Label(
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root,
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text="Test the scrolling functionality:\n"
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||||
"1. Try mouse wheel scrolling over the input area\n"
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||||
"2. Use the scrollbar on the right\n"
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||||
"3. Test dose tracking buttons\n"
|
||||
"4. Resize the window to test responsiveness",
|
||||
justify="left",
|
||||
)
|
||||
instructions.grid(row=1, column=0, padx=10, pady=10, sticky="ew")
|
||||
|
||||
# Print success message
|
||||
print("✓ Scrollable input frame created successfully!")
|
||||
print("✓ Medicine dose tracking UI elements loaded")
|
||||
print("✓ Scrollbar functionality active")
|
||||
print("✓ Mouse wheel scrolling enabled")
|
||||
print("\nTest window opened. Close the window when done testing.")
|
||||
|
||||
# Start the test GUI
|
||||
root.mainloop()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
test_scrollable_input()
|
||||
Reference in New Issue
Block a user