feat: rewrite ASN classification with PeeringDB + expanded heuristics

Major improvements to generate_asn_data.py:
- Add PeeringDB network data source (34K networks with info_type)
- Add new categories: education, government, enterprise
- Rename 'human' label to 'isp' across all consumers
- Expand keyword heuristics (ISP, datacenter, hosting, CDN, education, gov)
- Add hard-coded lists for education, government, enterprise ASNs
- Support both --output-dir and --output-asn/--output-ipasn CLI interfaces
- Add --no-peeringdb flag for offline use

Results: unknown dropped from 86% to 57%, ISP coverage 21.8K ASNs,
education 3.1K, enterprise 5.7K, government 520.

Updated consumers:
- bot_detector.py: 'human' -> 'isp' for baseline selection
- dashboard api.py: 'human' -> 'isp' in SQL queries
- run-tests.sh: 'human' -> 'isp' in integration test assertions
- update-csv-data.sh: updated label description comment

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

scripts/update-csv-data.sh

@@ -4,7 +4,7 @@
 # Outputs:
 #   data/bot_ip.csv           — Known bot/scanner IPs + Tor exit nodes
 #   data/bot_ja4.csv          — Known bot JA4 TLS fingerprints
-#   data/asn_reputation.csv   — ASN→label mapping (human/datacenter/hosting)
+#   data/asn_reputation.csv   — ASN→label mapping (isp/datacenter/hosting/cdn/education/government/enterprise)
 #   data/iplocate-ip-to-asn.csv — CIDR→ASN for dictionary lookup
 #
 # Usage: