feat: update prompt and test of hack demo

app/tool/chart_visualization/python_execute.py

@@ -12,6 +12,7 @@ class NormalPythonExecute(PythonExecute):
 1. The code should generate a comprehensive text-based report containing dataset overview, column details, basic statistics, derived metrics, timeseries comparisons, outliers, and key insights.
 2. Use print() for all outputs so the analysis (including sections like 'Dataset Overview' or 'Preprocessing Results') is clearly visible and save it also
 3. Save any report / processed files / each analysis result in worksapce directory: {directory}
+4. Data reports need to be content-rich, including your overall analysis process and corresponding data visualization.
 4. You can invode this tool step-by-step to do data analysis from summary to in-depth""".format(
             directory=config.workspace_root
         )

app/tool/chart_visualization/test/hack_demo.py

@@ -12,7 +12,7 @@ async def run_flow():
     }
 
     try:
-        prompt = """Here's last month's sales data from my Amazon store. Could you analyze it thoroughly with visualizations and recommend specific, data-driven strategies to boost next month's sales by 10%?
+        prompt = """Here's January sales data from my Amazon store. Could you analyze it thoroughly with visualizations and recommend specific, data-driven strategies to boost next month's sales by 10%?
 File Path: workspace/amazon_sales_jan2025.csv
 """