Line 2517: Data file not found: {data_file}\\\")\\n exit(1)\\n\\nwith open(data_file, 'r') as f:\\n metrics = json.load(f)\\n\\n# Convert to DataFrame\\ndf = pd.DataFrame(metrics)\\ndf['date'] = pd.to_datetime(df['date'])\\ndf = df.sort_values('date')\\n\\n# Chart 1: Largest File Size Over Time\\nfig1, ax1 = plt.subplots(figsize=(12, 7), dpi=300)\\n\\nax1.plot(df['date'], df['largest_file_loc'], \\n marker='o', linewidth=2.5, markersize=8,\\n color='#FF6B6B', label='Largest File Size')\\n\\n# Add threshold line\\nax1.axhline(y=800, color='#FFA07A', linestyle='--', \\n linewidth=2, label='Healthy Threshold (800 lines)')\\n\\n# Annotations\\nmax_idx = df['largest_file_loc'].idxmax()\\nmax_val = df.loc[max_idx, 'largest_file_loc']\\nmax_date = df.loc[max_idx, 'date']\\nax1.annotate(f'Peak: {max_val:.0f} lines',\\n xy=(max_date, max_val),\\n xytext=(10, 20),\\n textcoords='offset points',\\n arrowprops=dict(arrowstyle='->', color='red'),\\n fontsize=11,\\n fontweight='bold')\\n\\nax1.set_title('Largest Go File Size Trend', fontsize=16, fontweight='bold')\\nax1.set_xlabel('Date', fontsize=12)\\nax1.set_ylabel('Lines of Code', fontsize=12)\\nax1.legend(loc='best', fontsize=10)\\nax1.grid(True, alpha=0.3)\\nplt.xticks(rotation=45)\\nplt.tight_layout()\\n\\nplt.savefig('/tmp/gh-aw/python/charts/largest-file-trend.png',\\n dpi=300,\\n bbox_inches='tight',\\n facecolor='white',\\n edgecolor='none')\\nprint(\\\"Chart 1 saved: largest-file-trend.png\\\")\\nplt.close()\\n\\n# Chart 2: Files Over Threshold Count\\nfig2, ax2 = plt.subplots(figsize=(12, 7), dpi=300)\\n\\nax2.bar(df['date'], df['files_over_threshold'], \\n color='#4ECDC4', alpha=0.8, width=0.8)\\n\\nax2.set_title('Number of Files Over 800 Lines', fontsize=16, fontweight='bold')\\nax2.set_xlabel('Date', fontsize=12)\\nax2.set_ylabel('File Count', fontsize=12)\\nax2.grid(True, alpha=0.3, axis='y')\\nplt.xticks(rotation=45)\\nplt.tight_layout()\\n\\nplt.savefig('/tmp/gh-aw/python/charts/files-over-threshold.png',\\n dpi=300,\\n bbox_inches='tight',\\n facecolor='white',\\n edgecolor='none')\\nprint(\\\"Chart 2 saved: files-over-threshold.png\\\")\\nplt.close()\\n\\n# Chart 3: Issue Creation Activity\\nfig3, ax3 = plt.subplots(figsize=(12, 7), dpi=300)\\n\\n# Convert boolean to numeric for visualization\\ndf['issue_created_num'] = df['issue_created'].astype(int)\\n\\ncolors = ['#98D8C8' if x else '#E8E8E8' for x in df['issue_created']]\\nax3.bar(df['date'], df['issue_created_num'], \\n color=colors, alpha=0.9, width=0.8)\\n\\nax3.set_title('Refactoring Issues Created', fontsize=16, fontweight='bold')\\nax3.set_xlabel('Date', fontsize=12)\\nax3.set_ylabel('Issue Created (1=Yes, 0=No)', fontsize=12)\\nax3.set_ylim(-0.1, 1.3)\\nax3.set_yticks([0, 1])\\nax3.set_yticklabels(['No', 'Yes'])\\nax3.grid(True, alpha=0.3, axis='y')\\nplt.xticks(rotation=45)\\nplt.tight_layout()\\n\\nplt.savefig('/tmp/gh-aw/python/charts/issue-activity.png',\\n dpi=300,\\n bbox_inches='tight',\\n facecolor='white',\\n edgecolor='none')\\nprint(\\\"Chart 3 saved: issue-activity.png\\\")\\nplt.close()\\n\\nprint(\\\"\\\\n✅ All trend charts generated successfully!\\\")\\nprint(f\\\"Total metrics analyzed: {len(df)} data points\\\")\\nprint(f\\\"Date range: {df['date'].min().date()} to {df['date'].max().date()}\\\")\\n\", \"path\": \"/tmp/gh-aw/python/generate_trends.py\"}" (Pattern: Generic ERROR messages, Raw log: "arguments": "{\"file_text\": \"#!/usr/bin/env python3\\n\\\"\\\"\\\"\\nFile Diet Campaign Trend Visualization\\nGenerat...)