Files
crypto_monitor/tests/test_account_risk_lib.py
T
dekun b6acbf4b2c fix(risk): trigger cooldown only on user-initiated closes
Remove external-close risk hooks; register user_instance, user_hub, and user_trend_stop via hub API and trend stop; update docs and tests.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-17 19:14:05 +08:00

190 lines
6.8 KiB
Python

import os
import sqlite3
import unittest
from datetime import datetime, timezone
from unittest import mock
from account_risk_lib import (
CLOSE_SOURCE_USER_HUB,
CLOSE_SOURCE_USER_INSTANCE,
CLOSE_SOURCE_USER_TREND_STOP,
STATUS_DAILY,
STATUS_FREEZE_1H,
STATUS_FREEZE_4H,
STATUS_NORMAL,
account_risk_blocks_trading,
compute_account_risk_status,
ensure_account_risk_schema,
on_journal_saved,
on_manual_close,
on_user_initiated_close,
parse_mood_issues,
)
def _mem_conn():
conn = sqlite3.connect(":memory:")
conn.row_factory = sqlite3.Row
ensure_account_risk_schema(conn)
return conn
class AccountRiskLibTests(unittest.TestCase):
def setUp(self):
self.env_patch = mock.patch.dict(os.environ, {}, clear=False)
self.env_patch.start()
os.environ["RISK_CONTROL_ENABLED"] = "1"
os.environ["RISK_COOLING_HOURS_MANUAL"] = "4"
os.environ["RISK_COOLING_HOURS_MANUAL_JOURNAL"] = "1"
os.environ["RISK_MANUAL_CLOSE_DAILY_LIMIT"] = "2"
os.environ["RISK_MOOD_ISSUES_DAILY_FREEZE"] = "1"
def tearDown(self):
self.env_patch.stop()
def test_user_instance_sets_4h_cooloff(self):
conn = _mem_conn()
now = datetime(2026, 6, 14, 12, 0, 0)
close_ms = int(now.replace(tzinfo=timezone.utc).timestamp() * 1000)
on_user_initiated_close(
conn,
source=CLOSE_SOURCE_USER_INSTANCE,
trade_record_id=101,
closed_at_ms=close_ms,
trading_day="2026-06-14",
now=now,
)
st = compute_account_risk_status(conn, trading_day="2026-06-14", now=now)
self.assertEqual(st["status"], STATUS_FREEZE_4H)
self.assertFalse(st["can_trade"])
def test_invalid_source_ignored(self):
conn = _mem_conn()
now = datetime(2026, 6, 14, 12, 0, 0)
on_user_initiated_close(
conn,
source="exchange_tpsl",
trading_day="2026-06-14",
now=now,
)
st = compute_account_risk_status(conn, trading_day="2026-06-14", now=now)
self.assertEqual(st["status"], STATUS_NORMAL)
def test_second_user_close_daily_freeze(self):
conn = _mem_conn()
now = datetime(2026, 6, 14, 12, 0, 0)
close_ms = int(now.replace(tzinfo=timezone.utc).timestamp() * 1000)
on_user_initiated_close(
conn, source=CLOSE_SOURCE_USER_HUB, closed_at_ms=close_ms, trading_day="2026-06-14", now=now
)
on_user_initiated_close(
conn, source=CLOSE_SOURCE_USER_HUB, closed_at_ms=close_ms + 1000, trading_day="2026-06-14", now=now
)
st = compute_account_risk_status(conn, trading_day="2026-06-14", now=now)
self.assertEqual(st["status"], STATUS_DAILY)
def test_hub_close_all_count(self):
conn = _mem_conn()
now = datetime(2026, 6, 14, 12, 0, 0)
close_ms = int(now.replace(tzinfo=timezone.utc).timestamp() * 1000)
on_user_initiated_close(
conn,
source=CLOSE_SOURCE_USER_HUB,
closed_at_ms=close_ms,
trading_day="2026-06-14",
now=now,
count=2,
)
st = compute_account_risk_status(conn, trading_day="2026-06-14", now=now)
self.assertEqual(st["manual_close_count"], 2)
self.assertEqual(st["status"], STATUS_DAILY)
def test_trend_stop_counts_as_manual(self):
conn = _mem_conn()
now = datetime(2026, 6, 14, 12, 0, 0)
on_user_initiated_close(
conn,
source=CLOSE_SOURCE_USER_TREND_STOP,
trading_day="2026-06-14",
now=now,
)
st = compute_account_risk_status(conn, trading_day="2026-06-14", now=now)
self.assertEqual(st["manual_close_count"], 1)
self.assertEqual(st["status"], STATUS_FREEZE_4H)
def test_journal_manual_with_note_reduces_to_1h(self):
conn = _mem_conn()
now = datetime(2026, 6, 14, 12, 0, 0)
close_ms = int(now.replace(tzinfo=timezone.utc).timestamp() * 1000)
on_manual_close(conn, trade_record_id=9, closed_at_ms=close_ms, trading_day="2026-06-14", now=now)
on_journal_saved(
conn,
early_exit_trigger="手动平仓",
early_exit_note="违反计划提前离场",
mood_issues_raw="",
trading_day="2026-06-14",
now=now,
)
st = compute_account_risk_status(conn, trading_day="2026-06-14", now=now)
self.assertEqual(st["status"], STATUS_FREEZE_1H)
def test_journal_mood_issues_daily_freeze(self):
conn = _mem_conn()
now = datetime(2026, 6, 14, 12, 0, 0)
on_journal_saved(
conn,
early_exit_trigger="止损",
early_exit_note="",
mood_issues_raw=["报复开仓"],
trading_day="2026-06-14",
now=now,
)
st = compute_account_risk_status(conn, trading_day="2026-06-14", now=now)
self.assertEqual(st["status"], STATUS_DAILY)
def test_cooloff_expired_returns_normal(self):
conn = _mem_conn()
start = datetime(2026, 6, 14, 8, 0, 0)
close_ms = int(start.replace(tzinfo=timezone.utc).timestamp() * 1000)
on_user_initiated_close(
conn, source=CLOSE_SOURCE_USER_INSTANCE, closed_at_ms=close_ms, trading_day="2026-06-14", now=start
)
later = datetime(2026, 6, 14, 13, 0, 0)
st = compute_account_risk_status(conn, trading_day="2026-06-14", now=later)
self.assertEqual(st["status"], STATUS_NORMAL)
def test_trading_day_reset_clears_daily_frozen(self):
conn = _mem_conn()
now = datetime(2026, 6, 14, 12, 0, 0)
on_journal_saved(
conn,
early_exit_trigger="止损",
early_exit_note="",
mood_issues_raw="扛单",
trading_day="2026-06-14",
now=now,
)
next_day = datetime(2026, 6, 15, 8, 0, 0)
st = compute_account_risk_status(conn, trading_day="2026-06-15", now=next_day)
self.assertEqual(st["status"], STATUS_NORMAL)
def test_parse_mood_issues_filters_unknown(self):
self.assertEqual(parse_mood_issues("怕踏空,未知标签,扛单"), ["怕踏空", "扛单"])
def test_disabled_risk_control(self):
os.environ["RISK_CONTROL_ENABLED"] = "0"
conn = _mem_conn()
now = datetime(2026, 6, 14, 12, 0, 0)
on_user_initiated_close(
conn, source=CLOSE_SOURCE_USER_INSTANCE, trading_day="2026-06-14", now=now
)
st = compute_account_risk_status(conn, trading_day="2026-06-14", now=now)
self.assertFalse(st["enabled"])
self.assertTrue(st["can_trade"])
ok, _ = account_risk_blocks_trading(conn, trading_day="2026-06-14", now=now)
self.assertTrue(ok)
if __name__ == "__main__":
unittest.main()