proxysql/lib/Anomaly_Detector.cpp

#include "Anomaly_Detector.h"
#include "sqlite3db.h"
#include "proxysql_utils.h"
#include <cstring>
#include <cstdlib>

// Global instance is defined elsewhere if needed
// Anomaly_Detector *GloAnomaly = NULL;

Anomaly_Detector::Anomaly_Detector() : vector_db(NULL) {
	config.enabled = true;
	config.risk_threshold = 70;
	config.similarity_threshold = 80;
	config.rate_limit = 100;
	config.auto_block = true;
	config.log_only = false;
}

Anomaly_Detector::~Anomaly_Detector() {
}

int Anomaly_Detector::init() {
	proxy_info("Anomaly: Initializing Anomaly Detector v%s\n", ANOMALY_DETECTOR_VERSION);

	// Vector DB will be provided by AI_Features_Manager
	// This is a stub implementation for Phase 1

	proxy_info("Anomaly: Anomaly Detector initialized (stub)\n");
	return 0;
}

void Anomaly_Detector::close() {
	proxy_info("Anomaly: Anomaly Detector closed\n");
}

AnomalyResult Anomaly_Detector::analyze(const std::string& query, const std::string& user,
                                       const std::string& client_host, const std::string& schema) {
	AnomalyResult result;

	// Stub implementation - Phase 3 will implement full functionality
	proxy_debug(PROXY_DEBUG_ANOMALY, 3, "Anomaly: Analyzing query from %s@%s\n", user.c_str(), client_host.c_str());

	result.is_anomaly = false;
	result.risk_score = 0.0f;
	result.should_block = false;

	return result;
}

int Anomaly_Detector::add_threat_pattern(const std::string& pattern_name, const std::string& query_example,
                                         const std::string& pattern_type, int severity) {
	proxy_info("Anomaly: Adding threat pattern: %s\n", pattern_name.c_str());
	return 0;
}

std::string Anomaly_Detector::list_threat_patterns() {
	return "[]";
}

bool Anomaly_Detector::remove_threat_pattern(int pattern_id) {
	proxy_info("Anomaly: Removing threat pattern: %d\n", pattern_id);
	return true;
}

std::string Anomaly_Detector::get_statistics() {
	return "{\"users_tracked\": 0}";
}

void Anomaly_Detector::clear_user_statistics() {
	user_statistics.clear();
}