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terraform · Jul 17, 2026 · 38f6586 · 38f6586
1 parent c5179bf
commit 38f6586
Showing 1 changed file with 8 additions and 8 deletions.
diff --git a/local-app/python-tools/cross-organization/assess_check_s3_buckets.py b/local-app/python-tools/cross-organization/assess_check_s3_buckets.py
@@ -9,7 +9,7 @@
 from collections import defaultdict
 
 # --- VERSIONING ---
-__version__ = "1.3.0"
+__version__ = "1.3.1"
 
 UNIT_CONVERSION_MAP = {
     "B":  {"divisor": 1, "label": "Bytes"},
@@ -24,7 +24,7 @@ def find_latest_file(pattern):
     return max(files, key=os.path.getctime) if files else None
 
 def main():
-    parser = argparse.ArgumentParser(description="AWS S3 Fleet Storage Filtered Assessor Suite v1.3.0")
+    parser = argparse.ArgumentParser(description="AWS S3 Fleet Storage Filtered Assessor Suite v1.3.1")
     parser.add_argument("--input", help="JSON file (default: latest audit_results.check_s3_buckets.*.json)")
     parser.add_argument("--size-units", default="GB", choices=["B", "MB", "GB", "TB", "PB"], 
                         help="Target size scale unit representation to output in reports (Default: GB)")
@@ -149,8 +149,8 @@ def main():
             tf.write(fmt_tier.format(s_tier, scaled_tier_size, share))
         tf.write("\n")
 
-        # --- NEW SECTION 5: TOP 20 LARGEST BUCKETS ---
-        tf.write("[SECTION 5: TOP 20 LARGEST BUCKETS BY INSTALLED VOLUME FOOTPRINT]\n")
+        # --- RE-ORDERED SECTION 4: TOP 20 LARGEST BUCKETS ---
+        tf.write("[SECTION 4: TOP 20 LARGEST BUCKETS BY INSTALLED VOLUME FOOTPRINT]\n")
         size_data_spec = ",d" if target_unit == "B" else ",.2f"
         fmt_top_size_header = f"  {{:<4}} | {{:<12}} | {{:<{max_alias_w}}} | {{:<{max_bucket_w}}} | {{:<12}} | {{:>18}} | {{:>12}}\n"
         fmt_top_size_data   = f"  #{{:<3}} | {{:<12}} | {{:<{max_alias_w}}} | {{:<{max_bucket_w}}} | {{:<12}} | {{:>18{size_data_spec}}} | {{:>12,}}\n"
@@ -165,8 +165,8 @@ def main():
             tf.write(fmt_top_size_data.format(idx, r[0], r[1], r[2], r[3], scaled_bucket_size, r[6]))
         tf.write("\n")
 
-        # --- NEW SECTION 6: TOP 20 BUCKETS BY TOTAL OBJECT COUNT ---
-        tf.write("[SECTION 6: TOP 20 MOST POPULATED BUCKETS BY ALLOCATED OBJECT DENSITY]\n")
+        # --- RE-ORDERED SECTION 5: TOP 20 BUCKETS BY TOTAL OBJECT COUNT ---
+        tf.write("[SECTION 5: TOP 20 MOST POPULATED BUCKETS BY ALLOCATED OBJECT DENSITY]\n")
         fmt_top_obj_header = f"  {{:<4}} | {{:<12}} | {{:<{max_alias_w}}} | {{:<{max_bucket_w}}} | {{:<12}} | {{:>18}} | {{:>12}}\n"
         fmt_top_obj_data   = f"  #{{:<3}} | {{:<12}} | {{:<{max_alias_w}}} | {{:<{max_bucket_w}}} | {{:<12}} | {{:>18{size_data_spec}}} | {{:>12,}}\n"
 
@@ -179,8 +179,8 @@ def main():
             tf.write(fmt_top_obj_data.format(idx, r[0], r[1], r[2], r[3], scaled_bucket_size, r[6]))
         tf.write("\n")
 
-        # Section 4: Master Matrix Table
-        tf.write("[SECTION 4: GRANULAR BUCKET METADATA INVENTORY MATRIX]\n")
+        # --- RE-ORDERED SECTION 6: MASTER MATRIX TABLE ---
+        tf.write("[SECTION 6: GRANULAR BUCKET METADATA INVENTORY MATRIX]\n")
         fmt_row_header = f"  {{:<12}} | {{:<{max_alias_w}}} | {{:<{max_bucket_w}}} | {{:<12}} | {{:>18}} | {{:>12}} | {{:<10}} | {{:<13}}\n"
         fmt_row_data   = f"  {{:<12}} | {{:<{max_alias_w}}} | {{:<{max_bucket_w}}} | {{:<12}} | {{:>18{size_data_spec}}} | {{:>12,}} | {{:<10}} | {{:<13}}\n"