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Add RLUtils class for managing RL/AI dashboard endpoints

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- Implemented methods for fetching AI stats, training history, and recent experiences.
- Added functionality to set operation mode (MANUAL, AUTO, AI) with appropriate handling.
- Included helper methods for querying the database and sending JSON responses.
- Integrated model metadata extraction for visualization purposes.
This commit is contained in:
Fabien POLLY
2026-02-18 22:36:10 +01:00
parent b8a13cc698
commit eb20b168a6
684 changed files with 53278 additions and 27977 deletions
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4
db_utils/stats.py
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@@ -71,10 +71,8 @@ class StatsOps:
def get_stats(self) -> Dict[str, int]:
"""Compatibility alias to retrieve stats; ensures the singleton row exists"""
self.ensure_stats_initialized()
row = self.base.query("SELECT total_open_ports, alive_hosts_count, all_known_hosts_count, vulnerabilities_count FROM stats WHERE id=1;")
if not row:
self.ensure_stats_initialized()
row = self.base.query("SELECT total_open_ports, alive_hosts_count, all_known_hosts_count, vulnerabilities_count FROM stats WHERE id=1;")
r = row[0]
return {
"total_open_ports": int(r["total_open_ports"]),