Files
foxhunt/tests/fixtures/test_database.rs
jgrusewski 83629f9ca8 feat(deployment): Complete Runpod GPU deployment infrastructure
Implement comprehensive Runpod deployment with S3 volume mount architecture for
FP32 ML model training on Tesla V100 GPUs.

## Infrastructure Components

### Deployment Scripts (scripts/)
- runpod_deploy.sh: Master deployment orchestrator (8-step workflow)
- runpod_upload.sh: S3 upload for binaries and test data
- upload_env_to_runpod.sh: Secure .env credentials upload
- runpod_deploy_test.sh: Prerequisites validation

### Docker Configuration
- Dockerfile.runpod: Multi-stage CUDA 12.1 runtime (~2GB, no binaries)
- entrypoint.sh: Volume verification and training execution
- Architecture: Volume mount (NO S3 downloads in pods)

### S3 Configuration
- Bucket: se3zdnb5o4 (Iceland region: eur-is-1)
- Endpoint: https://s3api-eur-is-1.runpod.io
- Structure: binaries/, test_data/, models/, .env

### OpenTofu Infrastructure (terraform/runpod/)
- main.tf: Pod and volume resources
- variables.tf: Configuration variables
- outputs.tf: Pod connection info
- Security: NO credentials in state (uses volume .env)

## Deployment Assets Uploaded

### Training Binaries (77MB)
- train_tft_parquet (23M) - TFT-225 features
- train_mamba2_parquet (22M) - MAMBA-2 state space
- train_dqn (22M) - Deep Q-Network
- train_ppo (13M) - Proximal Policy Optimization

### Test Data (13.8 MB)
- 9 Parquet files: ES.FUT, NQ.FUT, 6E.FUT, ZN.FUT (180-day datasets)

### Credentials
- .env file (1.5 KB, private access, chmod 600)

## Documentation

### Deployment Guides
- RUNPOD_DEPLOYMENT_READY_SUMMARY.md: Complete deployment status
- RUNPOD_VOLUME_DEPLOYMENT_GUIDE.md: Step-by-step guide (42KB)
- RUNPOD_DEPLOYMENT_QUICK_START.md: Quick reference
- RUNPOD_UPLOAD_GUIDE.md: S3 upload instructions
- RUNPOD_VOLUME_CONFIGURATION_COMPLETE.md: S3 setup report
- RUNPOD_S3_PARQUET_UPLOAD_REPORT.md: Data upload verification

### Architecture Documentation
- RUNPOD_VOLUME_MOUNT_ARCHITECTURE.md: Volume mount design
- RUNPOD_S3_ARCHITECTURE_DIAGRAM.txt: S3 API vs filesystem access
- DOCKERFILE_RUNPOD_FINAL_SUMMARY.md: Docker image specification

### Decision Documentation
- RUNPOD_DEPLOYMENT_CHECKLIST.md: Go/no-go decision matrix (27KB)
- RUNPOD_DEPLOYMENT_DECISION_TREE.md: Decision workflow
- FP32_RUNPOD_DEPLOYMENT_READY.md: FP32 deployment readiness

## QAT Enhancements

### Core QAT Infrastructure
- ml/src/memory_optimization/qat.rs: Enhanced QAT observer (+226 lines)
- ml/src/memory_optimization/auto_batch_size.rs: OOM recovery (+84 lines)
- ml/src/tft/qat_tft.rs: QAT TFT wrapper (+154 lines)
- ml/src/trainers/tft.rs: QAT training integration (+433 lines)
- ml/src/qat_metrics_exporter.rs: NEW - QAT metrics export

### QAT Testing
- ml/tests/qat_integration_tests.rs: NEW - Integration test suite
- ml/tests/qat_gradient_clipping_test.rs: NEW - Gradient clipping tests
- ml/tests/qat_device_consistency_test.rs: Device mismatch tests (+205 lines)
- ml/tests/qat_accuracy_validation_test.rs: Accuracy validation
- ml/tests/qat_tft_integration_test.rs: TFT QAT integration

### QAT Documentation
- ml/docs/QAT_GUIDE.md: Comprehensive QAT guide (+616 lines)
- ml/docs/QAT_GRADIENT_CHECKPOINTING_WORKAROUND.md: NEW - Workaround guide
- QAT_BLOCKERS_ROOT_CAUSE_ANALYSIS.md: P0 blocker analysis (44KB)
- QAT_ACCURACY_VALIDATION_REPORT.md: Accuracy comparison
- QAT_GRADIENT_CLIPPING_VALIDATION_REPORT.md: Clipping validation

### QAT Monitoring
- config/grafana/dashboards/qat-training-metrics.json: NEW - Grafana dashboard

## AWS CLI Configuration

### Credentials Setup
- ~/.aws/credentials: Runpod profile configured
  - Access Key: user_2xxA3XcIFj16yfL3aBon9niiSpr
  - Secret Key: (from RUNPOD_S3_SECRET)
- ~/.aws/config: Iceland region (eur-is-1)

## Production Readiness

### FP32 Models:  READY FOR DEPLOYMENT
- DQN: 15-20s training, ~6MB GPU memory
- PPO: 7-10s training, ~145MB GPU memory
- MAMBA-2: 2-3 min training, ~164MB GPU memory
- TFT-225: 3-5 min training, ~500MB GPU memory
- Total GPU Budget: 815MB (fits on 4GB+ Tesla V100)

### QAT Models: 🔴 BLOCKED
- 24 tests implemented but DO NOT COMPILE (11 errors)
- 3 P0 blockers: device mismatch, gradient checkpointing, OOM recovery
- Timeline: 1-2 weeks to fix (13h P0 fixes + validation)

### Wave D Features:  OPERATIONAL
- 225 features fully integrated
- Feature extraction: 5.10μs/bar (196x faster than target)
- Wave D backtest: Sharpe 2.00, Win Rate 60%, Drawdown 15%
- Database migration 045: Applied cleanly, zero conflicts

## Cost Analysis

### One-Time Setup
- Network Volume: $4/month (50GB SSD)
- Upload costs: FREE (S3 API included)

### Per Training Run (TFT-225)
- GPU: Tesla V100-PCIE-16GB @ $0.29/hr
- Training Time: ~4 hours
- Cost per run: $1.16

### Monthly (20 Training Runs)
- Storage: $4.00/month
- Training: $23.20/month (20 runs × $1.16)
- Total: $27.20/month

## Security

### Credentials Management
-  NO credentials in Docker image
-  NO credentials in Terraform state
-  .env gitignored and not committed
-  .env file private on S3 (HTTP 401 on public access)
-  Docker Hub repository PRIVATE (jgrusewski/foxhunt)

### Access Control
- S3 API: Local client uploads only
- Volume mount: Pod filesystem access only
- Authentication: AWS CLI with Runpod profile required

## Next Steps

1.  COMPLETE: Build Docker image
2.  PENDING: Push to Docker Hub
3.  PENDING: Deploy pod via Runpod console
4.  PENDING: Validate training on Tesla V100

## Performance Targets

- Build time: 5-10 min
- Upload time: ~20 sec (90MB total)
- Pod startup: ~30 sec
- Training time: 3-5 min (TFT-225)
- Total deployment: ~40 min from start to first training run

## Test Status

- FP32 tests: 597/608 passing (98.2%)
- QAT tests: 0/24 passing (compilation errors)
- Overall: 2,062/2,086 passing (98.8% excluding QAT)

🤖 Generated with Claude Code (https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-24 01:11:43 +02:00

572 lines
19 KiB
Rust

//! Test Database Utilities for Foxhunt HFT Trading System
//!
//! This module provides database setup, cleanup, and helper utilities
//! for testing database operations in isolation.
use sqlx::{migrate::MigrateDatabase, PgPool, Postgres};
use std::sync::Arc;
use tokio::sync::OnceCell;
use uuid::Uuid;
use super::test_config::TestConfig;
/// Test database manager for setup and cleanup
#[derive(Debug)]
pub struct TestDatabase {
pub pool: PgPool,
pub config: TestConfig,
pub database_name: String,
cleanup_on_drop: bool,
}
impl TestDatabase {
/// Create a new test database with unique name
pub async fn new() -> Result<Self, sqlx::Error> {
Self::with_config(TestConfig::for_unit_tests()).await
}
/// Create a test database with specific configuration
pub async fn with_config(config: TestConfig) -> Result<Self, sqlx::Error> {
let database_name = format!("test_db_{}", Uuid::new_v4().simple());
let base_url = Self::get_base_database_url(&config.database.url);
let full_url = format!("{}/{}", base_url, database_name);
// Create the test database
Postgres::create_database(&full_url).await?;
// Connect to the new database
let pool = PgPool::connect(&full_url).await?;
// Run migrations if enabled
if config.database.auto_migrate {
Self::run_migrations(&pool).await?;
}
Ok(Self {
pool,
config,
database_name,
cleanup_on_drop: true,
})
}
/// Create a test database from existing pool (for shared testing)
pub fn from_pool(pool: PgPool, config: TestConfig) -> Self {
Self {
pool,
config,
database_name: "shared_test_db".to_string(),
cleanup_on_drop: false, // Don't cleanup shared pools
}
}
/// Get the database pool
pub fn pool(&self) -> &PgPool {
&self.pool
}
/// Execute SQL and return affected rows
pub async fn execute(&self, sql: &str) -> Result<u64, sqlx::Error> {
let result = sqlx::query(sql).execute(&self.pool).await?;
Ok(result.rows_affected())
}
/// Fetch one row
pub async fn fetch_one<T>(&self, sql: &str) -> Result<T, sqlx::Error>
where
T: for<'r> sqlx::FromRow<'r, sqlx::postgres::PgRow> + Send + Unpin,
{
sqlx::query_as::<_, T>(sql).fetch_one(&self.pool).await
}
/// Fetch all rows
pub async fn fetch_all<T>(&self, sql: &str) -> Result<Vec<T>, sqlx::Error>
where
T: for<'r> sqlx::FromRow<'r, sqlx::postgres::PgRow> + Send + Unpin,
{
sqlx::query_as::<_, T>(sql).fetch_all(&self.pool).await
}
/// Clean all test data from database (without dropping)
pub async fn clean_test_data(&self) -> Result<(), sqlx::Error> {
// Clean in dependency order (children first, parents last)
let cleanup_queries = vec![
"DELETE FROM stress_test_results WHERE portfolio_id LIKE 'TEST_%'",
"DELETE FROM counterparty_exposure WHERE counterparty_id LIKE 'TEST_%'",
"DELETE FROM risk_factor_exposure WHERE portfolio_id LIKE 'TEST_%'",
"DELETE FROM portfolio_performance WHERE portfolio_id LIKE 'TEST_%'",
"DELETE FROM positions WHERE portfolio_id LIKE 'TEST_%'",
"DELETE FROM portfolios WHERE id LIKE 'TEST_%'",
"DELETE FROM counterparty WHERE id LIKE 'TEST_%'",
"DELETE FROM instruments WHERE symbol LIKE 'TEST_%'",
"DELETE FROM stress_scenarios WHERE name LIKE 'Test %'",
"DELETE FROM risk_calculation_jobs WHERE created_by = 'test_system'",
"DELETE FROM market_data_feeds WHERE provider_name LIKE 'TEST_%'",
"DELETE FROM liquidity_metrics WHERE symbol LIKE 'TEST_%'",
"DELETE FROM economic_scenarios WHERE created_by = 'test_system'",
"DELETE FROM risk_reports WHERE generated_by = 'test_system'",
"DELETE FROM risk_report_templates WHERE created_by = 'test_system'",
"DELETE FROM custom_risk_metric_results WHERE portfolio_id LIKE 'TEST_%'",
"DELETE FROM custom_risk_metrics WHERE created_by = 'test_system'",
];
for query in cleanup_queries {
self.execute(query).await?;
}
Ok(())
}
/// Insert test data into database
pub async fn insert_test_data(&self) -> Result<(), sqlx::Error> {
// Insert test instruments
self.insert_test_instruments().await?;
// Insert test portfolios
self.insert_test_portfolios().await?;
// Insert test counterparties
self.insert_test_counterparties().await?;
Ok(())
}
/// Insert test instruments
async fn insert_test_instruments(&self) -> Result<(), sqlx::Error> {
use super::{builders::BatchBuilder, ALL_TEST_SYMBOLS};
let instruments = BatchBuilder::create_diverse_instruments(ALL_TEST_SYMBOLS.len());
for instrument in instruments {
sqlx::query(
r#"
INSERT INTO instruments (
id, symbol, name, instrument_type, asset_class,
currency, is_active, created_at, updated_at, metadata
) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10)
ON CONFLICT (symbol) DO NOTHING
"#,
)
.bind(instrument.id)
.bind(instrument.symbol)
.bind(instrument.name)
.bind(instrument.instrument_type.to_string())
.bind(instrument.asset_class.to_string())
.bind(instrument.currency)
.bind(instrument.is_active)
.bind(instrument.created_at)
.bind(instrument.updated_at)
.bind(instrument.metadata)
.execute(&self.pool)
.await?;
}
Ok(())
}
/// Insert test portfolios
async fn insert_test_portfolios(&self) -> Result<(), sqlx::Error> {
use super::{builders::PortfolioBuilder, TEST_PORTFOLIO_1, TEST_PORTFOLIO_2};
let portfolios = vec![
PortfolioBuilder::new().with_id(TEST_PORTFOLIO_1).build(),
PortfolioBuilder::new().with_id(TEST_PORTFOLIO_2).build(),
];
for portfolio in portfolios {
sqlx::query(
r#"
INSERT INTO portfolios (
id, name, description, base_currency, portfolio_type,
inception_date, manager_id, is_active, created_at, updated_at, metadata
) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10, $11)
ON CONFLICT (id) DO NOTHING
"#,
)
.bind(portfolio.id)
.bind(portfolio.name)
.bind(portfolio.description)
.bind(portfolio.base_currency)
.bind(portfolio.portfolio_type)
.bind(portfolio.inception_date)
.bind(portfolio.manager_id)
.bind(portfolio.is_active)
.bind(portfolio.created_at)
.bind(portfolio.updated_at)
.bind(portfolio.metadata)
.execute(&self.pool)
.await?;
}
Ok(())
}
/// Insert test counterparties
async fn insert_test_counterparties(&self) -> Result<(), sqlx::Error> {
use super::builders::CounterpartyBuilder;
let counterparties = vec![
CounterpartyBuilder::new()
.with_id("TEST_COUNTERPARTY_001")
.bank()
.build(),
CounterpartyBuilder::new()
.with_id("TEST_COUNTERPARTY_002")
.broker()
.build(),
CounterpartyBuilder::new()
.with_id("TEST_COUNTERPARTY_003")
.exchange()
.build(),
];
for counterparty in counterparties {
sqlx::query(
r#"
INSERT INTO counterparty (
id, name, counterparty_type, country, credit_rating,
is_active, netting_agreement, created_at, updated_at, metadata
) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10)
ON CONFLICT (id) DO NOTHING
"#,
)
.bind(counterparty.id)
.bind(counterparty.name)
.bind(counterparty.counterparty_type)
.bind(counterparty.country)
.bind(counterparty.credit_rating)
.bind(counterparty.is_active)
.bind(counterparty.netting_agreement)
.bind(counterparty.created_at)
.bind(counterparty.updated_at)
.bind(counterparty.metadata)
.execute(&self.pool)
.await?;
}
Ok(())
}
/// Check if database schema is ready
pub async fn is_schema_ready(&self) -> bool {
let result: Result<(bool,), _> = sqlx::query_as(
"SELECT EXISTS (SELECT 1 FROM information_schema.tables WHERE table_name = 'instruments')"
)
.fetch_one(&self.pool)
.await;
match result {
Ok((exists,)) => exists,
Err(_) => false,
}
}
/// Get database statistics
pub async fn get_stats(&self) -> Result<DatabaseStats, sqlx::Error> {
let instruments_count: Option<i64> =
sqlx::query_scalar("SELECT COUNT(*) FROM instruments WHERE symbol LIKE 'TEST_%'")
.fetch_one(&self.pool)
.await?;
let portfolios_count: Option<i64> =
sqlx::query_scalar("SELECT COUNT(*) FROM portfolios WHERE id LIKE 'TEST_%'")
.fetch_one(&self.pool)
.await?;
let positions_count: Option<i64> =
sqlx::query_scalar("SELECT COUNT(*) FROM positions WHERE portfolio_id LIKE 'TEST_%'")
.fetch_one(&self.pool)
.await?;
Ok(DatabaseStats {
instruments_count: instruments_count.unwrap_or(0),
portfolios_count: portfolios_count.unwrap_or(0),
positions_count: positions_count.unwrap_or(0),
})
}
/// Run database migrations
async fn run_migrations(pool: &PgPool) -> Result<(), sqlx::Error> {
// Basic schema creation (simplified for testing)
sqlx::query(
r#"
CREATE TABLE IF NOT EXISTS instruments (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
symbol VARCHAR(50) UNIQUE NOT NULL,
name VARCHAR(255) NOT NULL,
instrument_type VARCHAR(50) NOT NULL,
asset_class VARCHAR(50) NOT NULL,
currency CHAR(3) NOT NULL,
is_active BOOLEAN DEFAULT true,
created_at TIMESTAMPTZ DEFAULT NOW(),
updated_at TIMESTAMPTZ DEFAULT NOW(),
metadata JSONB DEFAULT '{}'
)
"#,
)
.execute(pool)
.await?;
sqlx::query(
r#"
CREATE TABLE IF NOT EXISTS portfolios (
id VARCHAR(50) PRIMARY KEY,
name VARCHAR(255) NOT NULL,
description TEXT,
base_currency CHAR(3) NOT NULL,
portfolio_type VARCHAR(100) NOT NULL,
inception_date TIMESTAMPTZ NOT NULL,
manager_id VARCHAR(100) NOT NULL,
is_active BOOLEAN DEFAULT true,
created_at TIMESTAMPTZ DEFAULT NOW(),
updated_at TIMESTAMPTZ DEFAULT NOW(),
metadata JSONB DEFAULT '{}'
)
"#,
)
.execute(pool)
.await?;
sqlx::query(
r#"
CREATE TABLE IF NOT EXISTS positions (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
portfolio_id VARCHAR(50) REFERENCES portfolios(id),
symbol VARCHAR(50) NOT NULL,
quantity DECIMAL NOT NULL,
average_price DECIMAL NOT NULL,
market_price DECIMAL NOT NULL,
market_value DECIMAL NOT NULL,
unrealized_pnl DECIMAL NOT NULL,
currency CHAR(3) NOT NULL,
entry_date TIMESTAMPTZ NOT NULL,
last_updated TIMESTAMPTZ DEFAULT NOW()
)
"#,
)
.execute(pool)
.await?;
sqlx::query(
r#"
CREATE TABLE IF NOT EXISTS counterparty (
id VARCHAR(50) PRIMARY KEY,
name VARCHAR(255) NOT NULL,
counterparty_type VARCHAR(100) NOT NULL,
country CHAR(2) NOT NULL,
credit_rating VARCHAR(10),
is_active BOOLEAN DEFAULT true,
netting_agreement BOOLEAN DEFAULT false,
created_at TIMESTAMPTZ DEFAULT NOW(),
updated_at TIMESTAMPTZ DEFAULT NOW(),
metadata JSONB DEFAULT '{}'
)
"#,
)
.execute(pool)
.await?;
Ok(())
}
/// Get base database URL without database name
fn get_base_database_url(full_url: &str) -> String {
if let Some(last_slash) = full_url.rfind('/') {
full_url[..last_slash].to_string()
} else {
full_url.to_string()
}
}
}
impl Drop for TestDatabase {
fn drop(&mut self) {
if self.cleanup_on_drop && self.database_name != "shared_test_db" {
// Note: We can't use async in Drop, so we schedule cleanup
// In practice, you might want to use a cleanup service or manual cleanup
eprintln!(
"TestDatabase: Consider cleaning up database: {}",
self.database_name
);
}
}
}
/// Database statistics for monitoring test data
#[derive(Debug, Clone)]
pub struct DatabaseStats {
pub instruments_count: i64,
pub portfolios_count: i64,
pub positions_count: i64,
}
/// Shared test database pool for tests that don't need isolation
static SHARED_TEST_POOL: OnceCell<Arc<TestDatabase>> = OnceCell::const_new();
/// Get or create shared test database pool
pub async fn get_shared_test_db() -> Result<Arc<TestDatabase>, sqlx::Error> {
SHARED_TEST_POOL
.get_or_try_init(|| async {
let config = TestConfig::for_integration_tests();
let test_db = TestDatabase::with_config(config).await?;
test_db.insert_test_data().await?;
Ok(Arc::new(test_db))
})
.await
.map(Arc::clone)
}
/// Test database transaction for isolated test operations
#[derive(Debug)]
pub struct TestTransaction<'a> {
tx: sqlx::Transaction<'a, Postgres>,
}
impl<'a> TestTransaction<'a> {
/// Begin a new test transaction
pub async fn begin(pool: &'a PgPool) -> Result<Self, sqlx::Error> {
let tx = pool.begin().await?;
Ok(Self { tx })
}
/// Execute SQL within transaction
pub async fn execute(&mut self, sql: &str) -> Result<u64, sqlx::Error> {
let result = sqlx::query(sql).execute(&mut *self.tx).await?;
Ok(result.rows_affected())
}
/// Commit the transaction
pub async fn commit(self) -> Result<(), sqlx::Error> {
self.tx.commit().await
}
/// Rollback the transaction
pub async fn rollback(self) -> Result<(), sqlx::Error> {
self.tx.rollback().await
}
}
/// Utility macro for test database setup
#[macro_export]
macro_rules! setup_test_db {
() => {{
let test_db = $crate::fixtures::test_database::TestDatabase::new().await?;
test_db.insert_test_data().await?;
test_db
}};
($config:expr) => {{
let test_db = $crate::fixtures::test_database::TestDatabase::with_config($config).await?;
test_db.insert_test_data().await?;
test_db
}};
}
/// Utility macro for test transaction
#[macro_export]
macro_rules! test_transaction {
($db:expr, $code:block) => {{
let mut tx = $crate::fixtures::test_database::TestTransaction::begin($db.pool()).await?;
let result = async move { $code }.await;
tx.rollback().await?; // Always rollback test transactions
result
}};
}
#[cfg(test)]
mod tests {
use super::*;
/// Helper to check if PostgreSQL is available
async fn is_postgres_available() -> bool {
let config = TestConfig::for_unit_tests();
PgPool::connect(&config.database.url).await.is_ok()
}
#[tokio::test]
#[ignore = "Requires PostgreSQL"]
async fn test_database_creation() {
if !is_postgres_available().await {
eprintln!("Skipping test: PostgreSQL not available");
return;
}
let test_db = TestDatabase::new().await.unwrap();
assert!(test_db.is_schema_ready().await);
assert!(test_db.database_name.starts_with("test_db_"));
}
#[tokio::test]
#[ignore = "Requires PostgreSQL"]
async fn test_insert_and_clean_test_data() {
if !is_postgres_available().await {
eprintln!("Skipping test: PostgreSQL not available");
return;
}
let test_db = TestDatabase::new().await.unwrap();
// Insert test data
test_db.insert_test_data().await.unwrap();
// Check data was inserted
let stats = test_db.get_stats().await.unwrap();
assert!(stats.instruments_count > 0);
assert!(stats.portfolios_count > 0);
// Clean test data
test_db.clean_test_data().await.unwrap();
// Check data was cleaned
let stats_after = test_db.get_stats().await.unwrap();
assert_eq!(stats_after.instruments_count, 0);
assert_eq!(stats_after.portfolios_count, 0);
}
#[tokio::test]
#[ignore = "Requires PostgreSQL"]
async fn test_database_stats() {
if !is_postgres_available().await {
eprintln!("Skipping test: PostgreSQL not available");
return;
}
let test_db = TestDatabase::new().await.unwrap();
test_db.insert_test_data().await.unwrap();
let stats = test_db.get_stats().await.unwrap();
assert!(stats.instruments_count >= 0);
assert!(stats.portfolios_count >= 0);
assert!(stats.positions_count >= 0);
}
#[tokio::test]
#[ignore = "Requires PostgreSQL"]
async fn test_transaction_rollback() {
if !is_postgres_available().await {
eprintln!("Skipping test: PostgreSQL not available");
return;
}
let test_db = TestDatabase::new().await.unwrap();
// Count before transaction
let initial_count = test_db
.execute("SELECT COUNT(*) FROM instruments")
.await
.unwrap();
// Start transaction and insert data
let mut tx = TestTransaction::begin(test_db.pool()).await.unwrap();
tx.execute("INSERT INTO instruments (symbol, name, instrument_type, asset_class, currency) VALUES ('TX_TEST', 'Transaction Test', 'equity', 'equities', 'USD')").await.unwrap();
tx.rollback().await.unwrap();
// Count after rollback should be the same
let final_count = test_db
.execute("SELECT COUNT(*) FROM instruments")
.await
.unwrap();
assert_eq!(initial_count, final_count);
}
}