Refactor MedTrackerApp and UI components for improved structure and readability

- Simplified initialization logic in init.py
- Consolidated testing_mode assignment
- Removed unnecessary else statements
- Created UIManager class to handle UI-related tasks
- Modularized input frame creation, table frame creation, and graph frame creation
- Enhanced edit window creation with better organization and error handling
- Updated data management methods to improve clarity and maintainability
- Improved logging for better debugging and tracking of application flow

src/graph_manager.py

@@ -0,0 +1,81 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+import matplotlib.figure
+from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
+from matplotlib.axes import Axes
+from tkinter import ttk
+
+
+class GraphManager:
+    """Handle all graph-related operations for the application."""
+
+    def __init__(self, parent_frame: ttk.LabelFrame) -> None:
+        self.parent_frame: ttk.LabelFrame = parent_frame
+
+        # Configure graph frame to expand
+        self.parent_frame.grid_rowconfigure(0, weight=1)
+        self.parent_frame.grid_columnconfigure(0, weight=1)
+
+        # Initialize matplotlib figure and canvas
+        self.fig: matplotlib.figure.Figure
+        self.ax: Axes
+        self.fig, self.ax = plt.subplots()
+        self.canvas: FigureCanvasTkAgg = FigureCanvasTkAgg(
+            figure=self.fig, master=self.parent_frame
+        )
+        self.canvas.get_tk_widget().pack(fill="both", expand=True)
+
+    def update_graph(self, df: pd.DataFrame) -> None:
+        """Update the graph with new data."""
+        self.ax.clear()
+        if not df.empty:
+            # Convert dates and sort
+            df = df.copy()  # Create a copy to avoid modifying the original
+            df["date"] = pd.to_datetime(df["date"])
+            df = df.sort_values(by="date")
+            df.set_index(keys="date", inplace=True)
+
+            # Plot data series
+            self._plot_series(
+                df, "depression", "Depression (0:good, 10:bad)", "o", "-"
+            )
+            self._plot_series(
+                df, "anxiety", "Anxiety (0:good, 10:bad)", "o", "-"
+            )
+            self._plot_series(
+                df, "sleep", "Sleep (0:bad, 10:good)", "o", "dashed"
+            )
+            self._plot_series(
+                df, "appetite", "Appetite (0:bad, 10:good)", "o", "dashed"
+            )
+
+            # Configure graph appearance
+            self.ax.legend()
+            self.ax.set_title("Medication Effects Over Time")
+            self.ax.set_xlabel("Date")
+            self.ax.set_ylabel("Rating (0-10)")
+            self.fig.autofmt_xdate()
+
+        # Redraw the canvas
+        self.canvas.draw()
+
+    def _plot_series(
+        self,
+        df: pd.DataFrame,
+        column: str,
+        label: str,
+        marker: str,
+        linestyle: str,
+    ) -> None:
+        """Helper method to plot a data series."""
+        self.ax.plot(
+            df.index,
+            df[column],
+            marker=marker,
+            linestyle=linestyle,
+            label=label,
+        )
+
+    def close(self) -> None:
+        """Clean up resources."""
+        plt.close(self.fig)