"""期权统计单测.""" import sqlite3 from datetime import datetime, timedelta from unittest import TestCase from lib.options.options_db import init_options_tables from lib.options.options_stats_lib import compute_options_stats, compute_options_stats_from_history class OptionsStatsLibTests(TestCase): def _conn(self): conn = sqlite3.connect(":memory:") conn.row_factory = sqlite3.Row init_options_tables(conn) return conn def test_compute_options_stats_empty(self): conn = self._conn() out = compute_options_stats(lambda: conn) self.assertEqual(out["total_closed"], 0) self.assertEqual(out["open_count"], 0) self.assertIsNone(out["avg_hold_sec"]) def test_compute_options_stats_hold_times(self): conn = self._conn() now = datetime.now() win_open = (now - timedelta(hours=2)).strftime("%Y-%m-%d %H:%M:%S") win_close = (now - timedelta(hours=1)).strftime("%Y-%m-%d %H:%M:%S") loss_open = (now - timedelta(hours=4)).strftime("%Y-%m-%d %H:%M:%S") loss_close = (now - timedelta(hours=1)).strftime("%Y-%m-%d %H:%M:%S") open_at = (now - timedelta(minutes=30)).strftime("%Y-%m-%d %H:%M:%S") conn.execute( """ INSERT INTO options_trades (inst_id, underlying, opt_type, strike, sheets, eth_amount, status, realized_pnl, created_at, closed_at) VALUES ('A', 'ETH', 'C', 1800, 1, 0.01, 'closed', 1.2, ?, ?) """, (win_open, win_close), ) conn.execute( """ INSERT INTO options_trades (inst_id, underlying, opt_type, strike, sheets, eth_amount, status, realized_pnl, created_at, closed_at) VALUES ('B', 'ETH', 'P', 1700, 1, 0.01, 'closed', -1.0, ?, ?) """, (loss_open, loss_close), ) conn.execute( """ INSERT INTO options_trades (inst_id, underlying, opt_type, strike, sheets, eth_amount, status, created_at) VALUES ('C', 'BTC', 'C', 62000, 1, 0.01, 'open', ?) """, (open_at,), ) conn.commit() out = compute_options_stats(lambda: conn) self.assertEqual(out["total_closed"], 2) self.assertEqual(out["win_count"], 1) self.assertEqual(out["loss_count"], 1) self.assertEqual(out["win_rate"], 50.0) self.assertAlmostEqual(out["avg_win"], 1.2, places=4) self.assertAlmostEqual(out["avg_loss"], 1.0, places=4) self.assertAlmostEqual(out["avg_win_hold_sec"], 3600.0, delta=5.0) self.assertAlmostEqual(out["avg_loss_hold_sec"], 3 * 3600.0, delta=5.0) self.assertEqual(out["open_count"], 1) self.assertGreater(out["avg_open_hold_sec"], 1700.0) def test_compute_options_stats_from_history_exchange_rows(self): history = [ {"status": "open", "created_at": "2026-07-11 08:08:38"}, {"status": "closed", "realized_pnl": -3.99, "created_at": "2026-07-09 14:11:46", "closed_at": "2026-07-10 16:00:35"}, {"status": "closed", "realized_pnl": 0.87, "created_at": "2026-07-09 14:11:46", "closed_at": "2026-07-10 09:55:34"}, {"status": "closed", "realized_pnl": -1.33, "created_at": "2026-07-08 02:32:44", "closed_at": "2026-07-09 16:00:26"}, ] out = compute_options_stats_from_history(history) self.assertEqual(out["total_closed"], 3) self.assertEqual(out["win_count"], 1) self.assertEqual(out["loss_count"], 2) self.assertAlmostEqual(out["avg_win"], 0.87, places=4) self.assertAlmostEqual(out["avg_loss"], 2.66, places=2) self.assertAlmostEqual(out["profit_loss_ratio"], 0.33, places=2) self.assertEqual(out["open_count"], 1)