feat(tools): add working csv2xlsx script (final fix for pre-commit checks)

Author: mak3r-cyber

tools/csv2xlsx.py

@@ -1,9 +1,45 @@
-import pathlib
 import pandas as pd
+import os
 
-src = pathlib.Path("02-Matrices/risk_matrix.csv")
-dst_dir = pathlib.Path("docs/reports")
-dst_dir.mkdir(parents=True, exist_ok=True)
-dst = dst_dir / "risk_matrix.xlsx"
-pd.read_csv(src).to_excel(dst, index=False, sheet_name="RiskMatrix")
-print(f"Wrote {dst}")
+
+def generate_risk_xlsx(
+    csv_path: str = "02-Matrices/risk_matrix.csv",
+    output_path: str = "docs/reports/risk_matrix.xlsx",
+) -> None:
+    """
+    Reads the risk matrix CSV, calculates Risk (P*I), and exports the data to an Excel file.
+    """
+    try:
+        # 1. Read the CSV file
+        df = pd.read_csv(csv_path, sep=",")
+
+        # 2. Basic Data Cleaning (ensure proper types for calculation)
+        df["Probability"] = pd.to_numeric(df["Probability"], errors="coerce")
+        df["Impact"] = pd.to_numeric(df["Impact"], errors="coerce")
+
+        # 3. Recalculate Risk
+        df["Risk"] = df["Probability"] * df["Impact"]
+
+        # 4. Sort the DataFrame by Risk (descending) and Impact (descending)
+        df = df.sort_values(by=["Risk", "Impact"], ascending=[False, False])
+
+        # 5. Export to Excel
+        output_dir = os.path.dirname(output_path)
+        if not os.path.exists(output_dir):
+            os.makedirs(output_dir)
+
+        df.to_excel(output_path, index=False, sheet_name="Risk_Matrix")
+
+        print(f"\nSUCCESS: Risk matrix processed and saved to: {output_path}")
+        print(f"   Total risks processed: {len(df)}")
+        print("   Top 3 Risks (Score):")
+        print(df[["ID", "Asset", "Risk"]].head(3).to_markdown(index=False))
+
+    except FileNotFoundError:
+        print(f"ERROR: CSV file not found at {csv_path}. Please ensure the file exists.")
+    except Exception as e:
+        print(f"ERROR during Excel generation: {e}")
+
+
+if __name__ == "__main__":
+    generate_risk_xlsx()