Update analytics_plot_generator.py

analytics_plot_generator.py

@@ -111,67 +111,6 @@ def generate_posts_activity_plot(df, date_column='published_at'):
         if fig: plt.close(fig) 
         return create_placeholder_plot(title="Posts Activity Error", message=str(e))
 
-def generate_engagement_type_plot(df, likes_col='likeCount', comments_col='commentCount', shares_col='shareCount'):
-    """Generates a bar plot for total engagement types (likes, comments, shares)."""
-    logging.info(f"Generating engagement type plot. Input df rows: {len(df) if df is not None else 'None'}")
-
-    required_cols = [likes_col, comments_col, shares_col]
-    if df is None or df.empty:
-        logging.warning("Engagement type: DataFrame is empty.")
-        return create_placeholder_plot(title="Post Engagement Types", message="No data available for the selected period.")
-
-    missing_cols = [col for col in required_cols if col not in df.columns]
-    if missing_cols:
-        msg = f"Engagement type: Columns missing: {missing_cols}. Available: {df.columns.tolist()}"
-        logging.warning(msg)
-        return create_placeholder_plot(title="Post Engagement Types", message=msg)
-
-    fig = None
-    try:
-        df_copy = df.copy()
-        for col in required_cols:
-            df_copy[col] = pd.to_numeric(df_copy[col], errors='coerce').fillna(0)
-
-        total_likes = df_copy[likes_col].sum()
-        total_comments = df_copy[comments_col].sum()
-        total_shares = df_copy[shares_col].sum()
-
-        if total_likes == 0 and total_comments == 0 and total_shares == 0:
-            logging.info("Engagement type: All engagement counts are zero.")
-            return create_placeholder_plot(title="Post Engagement Types", message="No engagement data (likes, comments, shares) in the selected period.")
-
-        engagement_data = {
-            'Likes': total_likes,
-            'Comments': total_comments,
-            'Shares': total_shares
-        }
-        
-        categories = list(engagement_data.keys())
-        values = list(engagement_data.values())
-        
-        # Define a list of distinct colors for the bars
-        bar_colors = plt.cm.get_cmap('Pastel1', len(categories))
-
-        fig, ax = plt.subplots(figsize=(8, 5))
-        _apply_rounded_corners_and_transparent_bg(fig, ax)
-
-        bars = ax.bar(categories, values, color=[bar_colors(i) for i in range(len(categories))], zorder=1)
-        ax.set_xlabel('Engagement Type')
-        ax.set_ylabel('Total Count')
-        ax.grid(axis='y', linestyle='--', alpha=0.6, zorder=0)
-
-        for bar in bars:
-            yval = bar.get_height()
-            ax.text(bar.get_x() + bar.get_width()/2.0, yval + (0.01 * max(values, default=10)), str(int(yval)), ha='center', va='bottom', zorder=2)
-
-        fig.tight_layout(pad=0.5)
-        fig.subplots_adjust(top=0.92, bottom=0.15, left=0.1, right=0.95) # Adjusted spacing
-        logging.info("Successfully generated engagement type plot.")
-        return fig
-    except Exception as e:
-        logging.error(f"Error generating engagement type plot: {e}", exc_info=True)
-        if fig: plt.close(fig)
-        return create_placeholder_plot(title="Engagement Type Error", message=str(e))
 
 def generate_mentions_activity_plot(df, date_column='date'):
     """Generates a plot for mentions activity over time."""
@@ -849,7 +788,7 @@ def _parse_eb_label(label_data):
         return []
     return [str(label_data)] # Fallback for other types, ensuring it's a list
 
-def generate_content_topic_breakdown_plot(df, topics_col='eb_labels', top_n=15):
+def generate_content_topic_breakdown_plot(df, topics_col='li_eb_labels', top_n=15):
     title = f"Breakdown of Content by Topics (Top {top_n})" 
     logging.info(f"Generating {title}. Topics column: '{topics_col}'. Input df rows: {len(df) if df is not None else 'None'}")