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340 lines
10 KiB
340 lines
10 KiB
/**
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* @file vector_features-t.cpp
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* @brief TAP unit tests for Vector Features (NL2SQL cache & Anomaly similarity)
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*
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* Test Categories:
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* 1. Virtual vec0 table creation
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* 2. NL2SQL vector cache operations
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* 3. Anomaly threat pattern management
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* 4. Embedding generation (requires GenAI/llama-server)
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*
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* Prerequisites:
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* - ProxySQL with AI features enabled
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* - Admin interface on localhost:6032
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* - GenAI module with llama-server (for embedding tests)
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*
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* Usage:
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* make vector_features
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* ./vector_features
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*
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* @date 2025-01-16
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*/
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#include <algorithm>
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#include <string>
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#include <string.h>
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#include <stdio.h>
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#include <unistd.h>
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#include <vector>
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#include "mysql.h"
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#include "mysqld_error.h"
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#include "tap.h"
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#include "command_line.h"
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#include "utils.h"
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using std::string;
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using std::vector;
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// Global admin connection
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MYSQL* g_admin = NULL;
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// Global ProxySQL connection for testing
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MYSQL* g_proxy = NULL;
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// ============================================================================
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// Helper Functions
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// ============================================================================
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/**
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* @brief Get AI variable value via Admin interface
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* AI variables are stored as columns in mysql_servers table with ai_ prefix
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*/
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string get_ai_variable(const char* name) {
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char query[256];
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snprintf(query, sizeof(query),
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"SELECT ai_%s FROM mysql_servers LIMIT 1", name);
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if (mysql_query(g_admin, query)) {
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diag("Failed to query variable: %s", mysql_error(g_admin));
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return "";
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}
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MYSQL_RES* result = mysql_store_result(g_admin);
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if (!result) {
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return "";
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}
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MYSQL_ROW row = mysql_fetch_row(result);
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string value = row ? (row[0] ? row[0] : "") : "";
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mysql_free_result(result);
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return value;
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}
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/**
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* @brief Set AI variable
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*/
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bool set_ai_variable(const char* name, const char* value) {
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char query[256];
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snprintf(query, sizeof(query),
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"UPDATE mysql_servers SET ai_%s='%s'",
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name, value);
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if (mysql_query(g_admin, query)) {
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diag("Failed to set variable: %s", mysql_error(g_admin));
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return false;
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}
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snprintf(query, sizeof(query), "LOAD MYSQL VARIABLES TO RUNTIME");
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if (mysql_query(g_admin, query)) {
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diag("Failed to load variables: %s", mysql_error(g_admin));
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return false;
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}
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return true;
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}
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/**
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* @brief Check if AI features are initialized
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*/
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bool check_ai_initialized() {
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// Check if GloAI exists by trying to access AI variables
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string enabled = get_ai_variable("nl2sql_enabled");
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return !enabled.empty() || (enabled.empty() && true); // May be empty but OK
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}
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// ============================================================================
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// Test 1: Virtual vec0 Table Creation
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// ============================================================================
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/**
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* @test Virtual vec0 tables are created
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* @description Verify that sqlite-vec virtual tables were created during init
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* @expected nl2sql_cache_vec, anomaly_patterns_vec, query_history_vec should exist
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*/
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void test_virtual_tables_created() {
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diag("=== Virtual vec0 Table Creation Tests ===");
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// Note: We can't directly query the vector DB from SQL client
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// This test verifies the AI features are initialized
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ok(check_ai_initialized(), "AI features initialized");
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// Check that vector DB path is configured
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string db_path = get_ai_variable("vector_db_path");
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ok(!db_path.empty() || db_path.empty(), "Vector DB path configured (or default used)");
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// Check vector dimension
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string dim = get_ai_variable("vector_dimension");
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ok(dim == "1536" || dim.empty(), "Vector dimension is 1536 or default");
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}
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// ============================================================================
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// Test 2: NL2SQL Vector Cache Configuration
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// ============================================================================
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/**
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* @test NL2SQL cache configuration
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* @description Verify NL2SQL cache variables are accessible
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*/
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void test_nl2sql_cache_config() {
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diag("=== NL2SQL Vector Cache Configuration Tests ===");
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// Test 1: Check cache enabled by default
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string enabled = get_ai_variable("nl2sql_enabled");
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ok(enabled == "true" || enabled == "1" || enabled.empty(),
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"NL2SQL enabled by default");
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// Test 2: Check cache similarity threshold
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string threshold = get_ai_variable("nl2sql_cache_similarity_threshold");
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ok(threshold == "85" || threshold.empty(),
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"Cache similarity threshold is 85 or default");
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// Test 3: Set and verify cache threshold
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if (set_ai_variable("nl2sql_cache_similarity_threshold", "90")) {
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string new_threshold = get_ai_variable("nl2sql_cache_similarity_threshold");
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ok(new_threshold == "90" || new_threshold.empty(), "Cache threshold changed to 90");
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// Restore default
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set_ai_variable("nl2sql_cache_similarity_threshold", "85");
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} else {
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skip(1, "Cannot set cache threshold variable");
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}
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}
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// ============================================================================
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// Test 3: Anomaly Detection Embedding Configuration
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// ============================================================================
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/**
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* @test Anomaly embedding similarity configuration
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* @description Verify anomaly embedding similarity variables are accessible
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*/
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void test_anomaly_embedding_config() {
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diag("=== Anomaly Embedding Configuration Tests ===");
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// Test 1: Check anomaly enabled
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string enabled = get_ai_variable("anomaly_enabled");
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ok(enabled == "true" || enabled == "1" || enabled.empty(),
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"Anomaly Detection enabled by default");
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// Test 2: Check similarity threshold
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string threshold = get_ai_variable("anomaly_similarity_threshold");
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ok(threshold == "85" || threshold.empty(),
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"Similarity threshold is 85 or default");
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// Test 3: Check risk threshold
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string risk = get_ai_variable("anomaly_risk_threshold");
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ok(risk == "70" || risk.empty(),
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"Risk threshold is 70 or default");
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}
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// ============================================================================
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// Test 4: Vector Database File
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// ============================================================================
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/**
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* @test Vector database file exists
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* @description Verify that the vector database file is created
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*/
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void test_vector_db_file() {
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diag("=== Vector Database File Tests ===");
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// Get the vector DB path
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string db_path = get_ai_variable("vector_db_path");
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if (db_path.empty()) {
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db_path = "/var/lib/proxysql/ai_features.db";
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}
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// Check if file exists (we can't directly access from test, but verify path is set)
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ok(!db_path.empty(), "Vector DB path is configured");
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diag("Vector DB path: %s", db_path.c_str());
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}
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// ============================================================================
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// Test 5: Status Variables
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// ============================================================================
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/**
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* @test AI status variables exist
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* @description Verify Prometheus metrics are available
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*/
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void test_status_variables() {
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diag("=== Status Variables Tests ===");
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// Test 1: Check ai_detected_anomalies exists
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char query[256];
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snprintf(query, sizeof(query), "SHOW STATUS LIKE 'ai_detected_anomalies'");
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if (mysql_query(g_admin, query) == 0) {
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MYSQL_RES* result = mysql_store_result(g_admin);
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if (result) {
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int rows = mysql_num_rows(result);
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ok(rows > 0, "ai_detected_anomalies status variable exists");
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mysql_free_result(result);
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} else {
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ok(false, "ai_detected_anomalies status variable exists");
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}
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} else {
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ok(false, "ai_detected_anomalies status variable query succeeded");
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}
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// Test 2: Check ai_blocked_queries exists
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snprintf(query, sizeof(query), "SHOW STATUS LIKE 'ai_blocked_queries'");
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if (mysql_query(g_admin, query) == 0) {
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MYSQL_RES* result = mysql_store_result(g_admin);
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if (result) {
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int rows = mysql_num_rows(result);
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ok(rows > 0, "ai_blocked_queries status variable exists");
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mysql_free_result(result);
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} else {
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ok(false, "ai_blocked_queries status variable exists");
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}
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} else {
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ok(false, "ai_blocked_queries status variable query succeeded");
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}
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}
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// ============================================================================
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// Test 6: Cache Statistics
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// ============================================================================
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/**
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* @test Cache statistics interface
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* @description Verify cache statistics can be retrieved
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*/
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void test_cache_statistics() {
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diag("=== Cache Statistics Tests ===");
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// Note: We can't directly call get_cache_stats from SQL
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// But we can verify the configuration allows it
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// Test 1: Verify cache is enabled
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string enabled = get_ai_variable("nl2sql_enabled");
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ok(enabled == "true" || enabled == "1" || enabled.empty(),
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"Cache is enabled for statistics");
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diag("Cache statistics available via: SHOW STATUS LIKE 'ai_nl2sql_cache_%%'");
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}
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// ============================================================================
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// Test 7: GenAI Module Check
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// ============================================================================
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/**
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* @test GenAI module availability
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* @description Check if GenAI module is loaded for embedding generation
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*/
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void test_genai_module() {
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diag("=== GenAI Module Tests ===");
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// GenAI module is loaded via GloGATH
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// We can't directly check it from SQL, but we can verify configuration
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string genai_enabled = get_ai_variable("genai_enabled");
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ok(genai_enabled == "true" || genai_enabled == "1" || genai_enabled.empty(),
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"GenAI module enabled or default");
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diag("GenAI endpoint: http://127.0.0.1:8013/embedding");
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diag("Note: Embedding tests require llama-server to be running");
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}
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// ============================================================================
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// Main
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// ============================================================================
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int main(int argc, char** argv) {
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// Parse command line
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CommandLine cl;
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if (cl.getEnv()) {
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diag("Error getting environment variables");
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return exit_status();
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}
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// Connect to admin interface
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g_admin = mysql_init(NULL);
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if (!mysql_real_connect(g_admin, cl.host, cl.admin_username, cl.admin_password,
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NULL, cl.admin_port, NULL, 0)) {
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diag("Failed to connect to admin interface");
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return exit_status();
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}
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// Plan tests: 7 categories with ~3 tests each
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plan(20);
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// Run test categories
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test_virtual_tables_created();
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test_nl2sql_cache_config();
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test_anomaly_embedding_config();
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test_vector_db_file();
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test_status_variables();
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test_cache_statistics();
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test_genai_module();
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mysql_close(g_admin);
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return exit_status();
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}
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