feat(gcp): add CIS checks (#2544)

util/generate_compliance_json_from_csv_for_cis20_gcp.py

@@ -0,0 +1,40 @@
+import csv
+import json
+import sys
+
+# Convert a CSV file following the CIS 1.5 AWS benchmark into a Prowler v3.0 Compliance JSON file
+# CSV fields:
+# Id, Title,Checks,Attributes_Section,Attributes_Level,Attributes_AssessmentStatus,Attributes_Description,Attributes_RationalStatement,Attributes_ImpactStatement,Attributes_RemediationProcedure,Attributes_AuditProcedure,Attributes_AdditionalInformation,Attributes_References
+
+# get the CSV filename to convert from
+file_name = sys.argv[1]
+
+# read the CSV file rows and use the column fields to form the Prowler compliance JSON file 'ens_rd2022_aws.json'
+output = {"Framework": "CIS-GCP", "Version": "2.0", "Requirements": []}
+with open(file_name, newline="", encoding="utf-8") as f:
+    reader = csv.reader(f, delimiter=",")
+    for row in reader:
+        attribute = {
+            "Section": row[0],
+            "Profile": row[2],
+            "AssessmentStatus": row[6],
+            "Description": row[9],
+            "RationaleStatement": row[10],
+            "ImpactStatement": row[11],
+            "RemediationProcedure": row[12],
+            "AuditProcedure": row[13],
+            "AdditionalInformation": row[14],
+            "References": row[28],
+        }
+        output["Requirements"].append(
+            {
+                "Id": row[1],
+                "Description": row[9],
+                "Checks": list(map(str.strip, row[4].split(","))),
+                "Attributes": [attribute],
+            }
+        )
+
+# Write the output Prowler compliance JSON file 'cis_2.0_gcp.json' locally
+with open("cis_2.0_gcp.json", "w", encoding="utf-8") as outfile:
+    json.dump(output, outfile, indent=4, ensure_ascii=False)