chore: Remove obsolete test scripts and unused methods from the data manager

- Deleted test scripts for dose tracking, UI functionality, dynamic data, edit functionality, and final workflow.
- Removed the `add_medicine_dose` method from the DataManager class as it is no longer needed.

src/data_manager.py

@@ -143,50 +143,6 @@ class DataManager:
             self.logger.error(f"Error deleting entry: {str(e)}")
             return False
 
-    def add_medicine_dose(self, date: str, medicine_name: str, dose: str) -> bool:
-        """Add a medicine dose to today's entry."""
-        from datetime import datetime
-
-        try:
-            df: pd.DataFrame = self.load_data()
-            timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
-            dose_entry = f"{timestamp}:{dose}"
-
-            # Find or create entry for the given date
-            if df.empty or date not in df["date"].values:
-                # Create new entry for today with default values
-                new_entry = {"date": date, "note": ""}
-
-                # Add pathology columns with default values
-                for pathology_key in self.pathology_manager.get_pathology_keys():
-                    new_entry[pathology_key] = 0
-
-                # Add medicine columns dynamically
-                for medicine_key in self.medicine_manager.get_medicine_keys():
-                    new_entry[medicine_key] = 0
-                    new_entry[f"{medicine_key}_doses"] = ""
-
-                df = pd.concat([df, pd.DataFrame([new_entry])], ignore_index=True)
-
-            # Add dose to the appropriate medicine
-            dose_column = f"{medicine_name}_doses"
-            mask = df["date"] == date
-            current_doses = df.loc[mask, dose_column].iloc[0]
-
-            if current_doses:
-                df.loc[mask, dose_column] = current_doses + "|" + dose_entry
-            else:
-                df.loc[mask, dose_column] = dose_entry
-
-            # Mark medicine as taken (set to 1)
-            df.loc[mask, medicine_name] = 1
-
-            df.to_csv(self.filename, index=False)
-            return True
-        except Exception as e:
-            self.logger.error(f"Error adding medicine dose: {str(e)}")
-            return False
-
     def get_today_medicine_doses(
         self, date: str, medicine_name: str
     ) -> list[tuple[str, str]]: