#!/usr/bin/env python3 """AppSecBench v1.1.0 statistics + summaries (CSV + JSON + Markdown charts).""" import csv import json import os from collections import Counter, OrderedDict ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) DATASET_DIR = os.path.join(ROOT, "dataset") STAT_DIR = os.path.join(ROOT, "statistics") SPLITS = ("train", "validation", "test") def load_all(): recs = [] for name in SPLITS: with open(os.path.join(DATASET_DIR, f"{name}.jsonl"), encoding="utf-8") as f: for line in f: line = line.strip() if line: recs.append(json.loads(line)) return recs def write_csv(path, rows, header): with open(path, "w", newline="", encoding="utf-8") as f: w = csv.writer(f) w.writerow(header) w.writerows(rows) def bar(label, count, total, width=36): n = max(1, int(round(count / max(total, 1) * width))) return f"{label[:34]:<34} | {'#' * n} {count} ({count / max(total, 1) * 100:.0f}%)" def main(): recs = load_all() total = len(recs) os.makedirs(STAT_DIR, exist_ok=True) langs = Counter(r["language"] for r in recs) fw = Counter(r["framework"] for r in recs if r["framework"] != "None") sev = Counter(r["expected_severity"] for r in recs) cwe = Counter(r["expected_cwe"] for r in recs) owasp = Counter(r["expected_owasp"] for r in recs) cat = Counter(r["category"] for r in recs) diff = Counter(r["metadata"]["difficulty"] for r in recs) vuln = Counter(r["vulnerability_name"] for r in recs) app = Counter(r["application_type"] for r in recs) conf = Counter(r["expected_confidence"] for r in recs) src = Counter(r["source_type"] for r in recs) # CVSS score buckets buckets = Counter() for r in recs: s = r["expected_cvss_score"] if s >= 9.0: buckets["Critical (9.0-10.0)"] += 1 elif s >= 7.0: buckets["High (7.0-8.9)"] += 1 elif s >= 4.0: buckets["Medium (4.0-6.9)"] += 1 else: buckets["Low (0.1-3.9)"] += 1 write_csv(os.path.join(STAT_DIR, "language_distribution.csv"), [(k, v) for k, v in langs.most_common()], ["language", "count"]) write_csv(os.path.join(STAT_DIR, "framework_distribution.csv"), [(k, v) for k, v in fw.most_common()], ["framework", "count"]) write_csv(os.path.join(STAT_DIR, "severity_distribution.csv"), [(k, v) for k, v in sev.most_common()], ["severity", "count"]) write_csv(os.path.join(STAT_DIR, "cwe_distribution.csv"), [(k, v) for k, v in cwe.most_common()], ["cwe", "count"]) write_csv(os.path.join(STAT_DIR, "owasp_distribution.csv"), [(k, v) for k, v in owasp.most_common()], ["owasp", "count"]) write_csv(os.path.join(STAT_DIR, "category_distribution.csv"), [(k, v) for k, v in cat.most_common()], ["category", "count"]) write_csv(os.path.join(STAT_DIR, "difficulty_distribution.csv"), [(k, v) for k, v in diff.most_common()], ["difficulty", "count"]) write_csv(os.path.join(STAT_DIR, "vulnerability_distribution.csv"), [(k, v) for k, v in vuln.most_common()], ["vulnerability", "count"]) write_csv(os.path.join(STAT_DIR, "application_type_distribution.csv"), [(k, v) for k, v in app.most_common()], ["application_type", "count"]) write_csv(os.path.join(STAT_DIR, "cvss_score_distribution.csv"), [(k, v) for k, v in buckets.most_common()], ["cvss_band", "count"]) write_csv(os.path.join(STAT_DIR, "confidence_distribution.csv"), [(k, v) for k, v in conf.most_common()], ["confidence", "count"]) write_csv(os.path.join(STAT_DIR, "source_type_distribution.csv"), [(k, v) for k, v in src.most_common()], ["source_type", "count"]) # Split sizes split_sizes = OrderedDict() for name in SPLITS: with open(os.path.join(DATASET_DIR, f"{name}.jsonl")) as f: split_sizes[name] = sum(1 for _ in f if _.strip()) summary = { "name": "AppSecBench", "version": "1.1.0", "total_records": total, "splits": split_sizes, "languages": dict(langs), "frameworks": dict(fw), "categories": dict(cat), "severities": dict(sev), "cwes": dict(cwe), "owasps": dict(owasp), "difficulties": dict(diff), "vulnerabilities": dict(vuln), "application_types": dict(app), "cvss_bands": dict(buckets), "confidence": dict(conf), "source_types": dict(src), "unique_languages": len(langs), "unique_frameworks": len(fw), "unique_cwes": len(cwe), "unique_owasps": len(owasp), "unique_vulnerabilities": len(vuln), "unique_categories": len(cat), } with open(os.path.join(STAT_DIR, "summary.json"), "w", encoding="utf-8") as f: json.dump(summary, f, indent=2) # Markdown charts lines = [f"# AppSecBench — Statistics (v1.0.0)", "", f"Total records: **{total}**", "", f"Splits: train={split_sizes['train']}, validation={split_sizes['validation']}, test={split_sizes['test']}", "", "## Language distribution", ""] for k, v in langs.most_common(): lines.append(bar(k, v, total)) lines += ["", "## Framework distribution", ""] for k, v in fw.most_common(): lines.append(bar(k, v, total)) lines += ["", "## Severity distribution", ""] for k in ("Critical", "High", "Medium", "Low"): if k in sev: lines.append(bar(k, sev[k], total)) lines += ["", "## CVSS score band", ""] for k, v in buckets.most_common(): lines.append(bar(k, v, total)) lines += ["", "## Category distribution", ""] for k, v in cat.most_common(): lines.append(bar(k, v, total)) lines += ["", "## Vulnerability distribution", ""] for k, v in vuln.most_common(): lines.append(bar(k, v, total)) lines += ["", "## OWASP distribution", ""] for k, v in owasp.most_common(): lines.append(bar(k, v, total)) lines += ["", "## CWE distribution (top 20)", ""] for k, v in cwe.most_common(20): lines.append(bar(k, v, total)) lines += ["", "## Difficulty distribution", ""] for k in ("Beginner", "Intermediate", "Advanced", "Expert", "Real-world enterprise"): if k in diff: lines.append(bar(k, diff[k], total)) lines += ["", "## Application type distribution", ""] for k, v in app.most_common(): lines.append(bar(k, v, total)) lines += ["", "## Source type distribution", ""] for k, v in src.most_common(): lines.append(bar(k, v, total)) with open(os.path.join(STAT_DIR, "statistics.md"), "w", encoding="utf-8") as f: f.write("\n".join(lines)) print(f"Statistics written for {total} records -> {STAT_DIR}") print(f"languages={len(langs)} frameworks={len(fw)} cwes={len(cwe)} owasps={len(owasp)} vulns={len(vuln)}") if __name__ == "__main__": main()