Files
AI-Trader/tests/unit/test_trade_tools_new_schema.py
Bill e20dce7432 fix: enable intra-day position tracking for sell-then-buy trades
Resolves issue where sell proceeds were not immediately available for
subsequent buy orders within the same trading session.

Problem:
- Both buy() and sell() independently queried database for starting position
- Multiple trades within same day all saw pre-trade cash balance
- Agents couldn't rebalance portfolios (sell + buy) in single session

Solution:
- ContextInjector maintains in-memory position state during trading session
- Position updates accumulate after each successful trade
- Position state injected into buy/sell via _current_position parameter
- Reset position state at start of each trading day

Changes:
- agent/context_injector.py: Add position tracking with reset_position()
- agent_tools/tool_trade.py: Accept _current_position in buy/sell functions
- agent/base_agent/base_agent.py: Reset position state daily
- tests: Add 13 comprehensive tests for position tracking

All new tests pass. Backward compatible, no schema changes required.
2025-11-05 06:56:54 -05:00

485 lines
16 KiB
Python

"""Test trade tools write to new schema (actions table)."""
import pytest
import sqlite3
from agent_tools.tool_trade import _buy_impl, _sell_impl
from api.database import Database
from tools.deployment_config import get_db_path
@pytest.fixture
def test_db():
"""Create test database with new schema."""
db_path = ":memory:"
db = Database(db_path)
# Create jobs table (prerequisite)
db.connection.execute("""
CREATE TABLE IF NOT EXISTS jobs (
job_id TEXT PRIMARY KEY,
config_path TEXT NOT NULL,
status TEXT NOT NULL,
date_range TEXT NOT NULL,
models TEXT NOT NULL,
created_at TEXT NOT NULL
)
""")
db.connection.execute("""
INSERT INTO jobs (job_id, config_path, status, date_range, models, created_at)
VALUES ('test-job-123', 'test_config.json', 'running', '2025-01-15', '["test-model"]', '2025-01-15T10:00:00Z')
""")
# Create trading_days record
trading_day_id = db.create_trading_day(
job_id='test-job-123',
model='test-model',
date='2025-01-15',
starting_cash=10000.0,
starting_portfolio_value=10000.0,
daily_profit=0.0,
daily_return_pct=0.0,
ending_cash=10000.0,
ending_portfolio_value=10000.0,
days_since_last_trading=0
)
db.connection.commit()
yield db, trading_day_id
db.connection.close()
def test_buy_writes_to_actions_table(test_db, monkeypatch):
"""Test buy() writes action record to actions table."""
db, trading_day_id = test_db
# Create a mock connection wrapper that doesn't actually close
class MockConnection:
def __init__(self, real_conn):
self.real_conn = real_conn
def cursor(self):
return self.real_conn.cursor()
def execute(self, *args, **kwargs):
return self.real_conn.execute(*args, **kwargs)
def commit(self):
return self.real_conn.commit()
def rollback(self):
return self.real_conn.rollback()
def close(self):
pass # Don't actually close the connection
mock_conn = MockConnection(db.connection)
# Mock get_db_connection to return our mock connection
monkeypatch.setattr('agent_tools.tool_trade.get_db_connection',
lambda x: mock_conn)
# Mock get_current_position_from_db to return starting position
monkeypatch.setattr('agent_tools.tool_trade.get_current_position_from_db',
lambda job_id, sig, date: ({'CASH': 10000.0}, 0))
# Mock runtime config
monkeypatch.setenv('RUNTIME_ENV_PATH', '/tmp/test_runtime.json')
# Create mock runtime config file
import json
with open('/tmp/test_runtime.json', 'w') as f:
json.dump({
'TODAY_DATE': '2025-01-15',
'SIGNATURE': 'test-model',
'JOB_ID': 'test-job-123',
'TRADING_DAY_ID': trading_day_id
}, f)
# Mock price data
monkeypatch.setattr('agent_tools.tool_trade.get_open_prices',
lambda date, symbols: {'AAPL_price': 150.0})
# Execute buy
result = _buy_impl(
symbol='AAPL',
amount=10,
signature='test-model',
today_date='2025-01-15',
job_id='test-job-123',
trading_day_id=trading_day_id
)
# Check if there was an error
if 'error' in result:
print(f"Buy failed with error: {result}")
# Verify action record created
cursor = db.connection.execute("""
SELECT action_type, symbol, quantity, price, trading_day_id
FROM actions
WHERE trading_day_id = ?
""", (trading_day_id,))
row = cursor.fetchone()
assert row is not None, "Action record should exist"
assert row[0] == 'buy'
assert row[1] == 'AAPL'
assert row[2] == 10
assert row[3] == 150.0
assert row[4] == trading_day_id
# Verify NO write to old positions table
cursor = db.connection.execute("""
SELECT name FROM sqlite_master
WHERE type='table' AND name='positions'
""")
assert cursor.fetchone() is None, "Old positions table should not exist"
def test_buy_with_none_trading_day_id_reads_from_config(test_db, monkeypatch):
"""Test buy() with trading_day_id=None fallback reads from runtime config."""
db, trading_day_id = test_db
# Create a mock connection wrapper that doesn't actually close
class MockConnection:
def __init__(self, real_conn):
self.real_conn = real_conn
def cursor(self):
return self.real_conn.cursor()
def execute(self, *args, **kwargs):
return self.real_conn.execute(*args, **kwargs)
def commit(self):
return self.real_conn.commit()
def rollback(self):
return self.real_conn.rollback()
def close(self):
pass # Don't actually close the connection
mock_conn = MockConnection(db.connection)
# Mock get_db_connection to return our mock connection
monkeypatch.setattr('agent_tools.tool_trade.get_db_connection',
lambda x: mock_conn)
# Mock get_current_position_from_db to return starting position
monkeypatch.setattr('agent_tools.tool_trade.get_current_position_from_db',
lambda job_id, sig, date: ({'CASH': 10000.0}, 0))
# Mock runtime config
monkeypatch.setenv('RUNTIME_ENV_PATH', '/tmp/test_runtime_fallback.json')
# Create mock runtime config file with TRADING_DAY_ID
import json
with open('/tmp/test_runtime_fallback.json', 'w') as f:
json.dump({
'TODAY_DATE': '2025-01-15',
'SIGNATURE': 'test-model',
'JOB_ID': 'test-job-123',
'TRADING_DAY_ID': trading_day_id
}, f)
# Mock price data
monkeypatch.setattr('agent_tools.tool_trade.get_open_prices',
lambda date, symbols: {'AAPL_price': 150.0})
# Execute buy with trading_day_id=None to force config lookup
result = _buy_impl(
symbol='AAPL',
amount=10,
signature='test-model',
today_date='2025-01-15',
job_id='test-job-123',
trading_day_id=None # Force fallback to runtime config
)
# Check if there was an error
if 'error' in result:
print(f"Buy failed with error: {result}")
# Verify action record created with correct trading_day_id from config
cursor = db.connection.execute("""
SELECT action_type, symbol, quantity, price, trading_day_id
FROM actions
WHERE trading_day_id = ?
""", (trading_day_id,))
row = cursor.fetchone()
assert row is not None, "Action record should exist when reading trading_day_id from config"
assert row[0] == 'buy'
assert row[1] == 'AAPL'
assert row[2] == 10
assert row[3] == 150.0
assert row[4] == trading_day_id, "trading_day_id should match the value from runtime config"
def test_sell_writes_to_actions_table(test_db, monkeypatch):
"""Test sell() writes action record to actions table."""
db, trading_day_id = test_db
# Setup: Create starting holdings
db.create_holding(trading_day_id, 'AAPL', 10)
db.connection.commit()
# Create a mock connection wrapper that doesn't actually close
class MockConnection:
def __init__(self, real_conn):
self.real_conn = real_conn
def cursor(self):
return self.real_conn.cursor()
def execute(self, *args, **kwargs):
return self.real_conn.execute(*args, **kwargs)
def commit(self):
return self.real_conn.commit()
def rollback(self):
return self.real_conn.rollback()
def close(self):
pass # Don't actually close the connection
mock_conn = MockConnection(db.connection)
# Mock dependencies
monkeypatch.setattr('agent_tools.tool_trade.get_db_connection',
lambda x: mock_conn)
# Mock get_current_position_from_db to return position with AAPL shares
monkeypatch.setattr('agent_tools.tool_trade.get_current_position_from_db',
lambda job_id, sig, date: ({'CASH': 10000.0, 'AAPL': 10}, 0))
monkeypatch.setenv('RUNTIME_ENV_PATH', '/tmp/test_runtime.json')
import json
with open('/tmp/test_runtime.json', 'w') as f:
json.dump({
'TODAY_DATE': '2025-01-15',
'SIGNATURE': 'test-model',
'JOB_ID': 'test-job-123',
'TRADING_DAY_ID': trading_day_id
}, f)
monkeypatch.setattr('agent_tools.tool_trade.get_open_prices',
lambda date, symbols: {'AAPL_price': 160.0})
# Execute sell
result = _sell_impl(
symbol='AAPL',
amount=5,
signature='test-model',
today_date='2025-01-15',
job_id='test-job-123',
trading_day_id=trading_day_id
)
# Verify action record created
cursor = db.connection.execute("""
SELECT action_type, symbol, quantity, price
FROM actions
WHERE trading_day_id = ? AND action_type = 'sell'
""", (trading_day_id,))
row = cursor.fetchone()
assert row is not None
assert row[0] == 'sell'
assert row[1] == 'AAPL'
assert row[2] == 5
assert row[3] == 160.0
def test_intraday_position_tracking_sell_then_buy(test_db, monkeypatch):
"""Test that sell proceeds are immediately available for subsequent buys."""
db, trading_day_id = test_db
# Setup: Create starting position with AAPL shares and limited cash
db.create_holding(trading_day_id, 'AAPL', 10)
db.connection.commit()
# Create a mock connection wrapper
class MockConnection:
def __init__(self, real_conn):
self.real_conn = real_conn
def cursor(self):
return self.real_conn.cursor()
def commit(self):
return self.real_conn.commit()
def rollback(self):
return self.real_conn.rollback()
def close(self):
pass
mock_conn = MockConnection(db.connection)
monkeypatch.setattr('agent_tools.tool_trade.get_db_connection',
lambda x: mock_conn)
# Mock get_current_position_from_db to return starting position
monkeypatch.setattr('agent_tools.tool_trade.get_current_position_from_db',
lambda job_id, sig, date: ({'CASH': 500.0, 'AAPL': 10}, 0))
monkeypatch.setenv('RUNTIME_ENV_PATH', '/tmp/test_runtime_intraday.json')
import json
with open('/tmp/test_runtime_intraday.json', 'w') as f:
json.dump({
'TODAY_DATE': '2025-01-15',
'SIGNATURE': 'test-model',
'JOB_ID': 'test-job-123',
'TRADING_DAY_ID': trading_day_id
}, f)
# Mock prices: AAPL sells for 200, MSFT costs 150
def mock_get_prices(date, symbols):
if 'AAPL' in symbols:
return {'AAPL_price': 200.0}
elif 'MSFT' in symbols:
return {'MSFT_price': 150.0}
return {}
monkeypatch.setattr('agent_tools.tool_trade.get_open_prices', mock_get_prices)
# Step 1: Sell 3 shares of AAPL for 600.0
# Starting cash: 500.0, proceeds: 600.0, new cash: 1100.0
result_sell = _sell_impl(
symbol='AAPL',
amount=3,
signature='test-model',
today_date='2025-01-15',
job_id='test-job-123',
trading_day_id=trading_day_id,
_current_position=None # Use database position (starting position)
)
assert 'error' not in result_sell, f"Sell should succeed: {result_sell}"
assert result_sell['CASH'] == 1100.0, "Cash should be 500 + (3 * 200) = 1100"
assert result_sell['AAPL'] == 7, "AAPL shares should be 10 - 3 = 7"
# Step 2: Buy 7 shares of MSFT for 1050.0 using the position from the sell
# This should work because we pass the updated position from step 1
result_buy = _buy_impl(
symbol='MSFT',
amount=7,
signature='test-model',
today_date='2025-01-15',
job_id='test-job-123',
trading_day_id=trading_day_id,
_current_position=result_sell # Use position from sell
)
assert 'error' not in result_buy, f"Buy should succeed with sell proceeds: {result_buy}"
assert result_buy['CASH'] == 50.0, "Cash should be 1100 - (7 * 150) = 50"
assert result_buy['MSFT'] == 7, "MSFT shares should be 7"
assert result_buy['AAPL'] == 7, "AAPL shares should still be 7"
# Verify both actions were recorded
cursor = db.connection.execute("""
SELECT action_type, symbol, quantity, price
FROM actions
WHERE trading_day_id = ?
ORDER BY created_at
""", (trading_day_id,))
actions = cursor.fetchall()
assert len(actions) == 2, "Should have 2 actions (sell + buy)"
assert actions[0][0] == 'sell' and actions[0][1] == 'AAPL'
assert actions[1][0] == 'buy' and actions[1][1] == 'MSFT'
def test_intraday_tracking_without_position_injection_fails(test_db, monkeypatch):
"""Test that without position injection, sell proceeds are NOT available for subsequent buys."""
db, trading_day_id = test_db
# Setup: Create starting position with AAPL shares and limited cash
db.create_holding(trading_day_id, 'AAPL', 10)
db.connection.commit()
# Create a mock connection wrapper
class MockConnection:
def __init__(self, real_conn):
self.real_conn = real_conn
def cursor(self):
return self.real_conn.cursor()
def commit(self):
return self.real_conn.commit()
def rollback(self):
return self.real_conn.rollback()
def close(self):
pass
mock_conn = MockConnection(db.connection)
monkeypatch.setattr('agent_tools.tool_trade.get_db_connection',
lambda x: mock_conn)
# Mock get_current_position_from_db to ALWAYS return starting position
# (simulating the old buggy behavior)
monkeypatch.setattr('agent_tools.tool_trade.get_current_position_from_db',
lambda job_id, sig, date: ({'CASH': 500.0, 'AAPL': 10}, 0))
monkeypatch.setenv('RUNTIME_ENV_PATH', '/tmp/test_runtime_no_injection.json')
import json
with open('/tmp/test_runtime_no_injection.json', 'w') as f:
json.dump({
'TODAY_DATE': '2025-01-15',
'SIGNATURE': 'test-model',
'JOB_ID': 'test-job-123',
'TRADING_DAY_ID': trading_day_id
}, f)
# Mock prices
def mock_get_prices(date, symbols):
if 'AAPL' in symbols:
return {'AAPL_price': 200.0}
elif 'MSFT' in symbols:
return {'MSFT_price': 150.0}
return {}
monkeypatch.setattr('agent_tools.tool_trade.get_open_prices', mock_get_prices)
# Step 1: Sell 3 shares of AAPL
result_sell = _sell_impl(
symbol='AAPL',
amount=3,
signature='test-model',
today_date='2025-01-15',
job_id='test-job-123',
trading_day_id=trading_day_id,
_current_position=None # Don't inject position (old behavior)
)
assert 'error' not in result_sell, "Sell should succeed"
# Step 2: Try to buy 7 shares of MSFT WITHOUT passing updated position
# This should FAIL because it will query the database and get the original 500.0 cash
result_buy = _buy_impl(
symbol='MSFT',
amount=7,
signature='test-model',
today_date='2025-01-15',
job_id='test-job-123',
trading_day_id=trading_day_id,
_current_position=None # Don't inject position (old behavior)
)
# This should fail with insufficient cash
assert 'error' in result_buy, "Buy should fail without position injection"
assert result_buy['error'] == 'Insufficient cash', f"Expected insufficient cash error, got: {result_buy}"
assert result_buy['cash_available'] == 500.0, "Should see original cash, not updated cash"