Align options realtime PnL with bid-net and show totals in stats.

Header float PnL now uses bid recycle minus premium like position cards. Stats adds realized/open/total net PnL.

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
dekun
2026-07-15 22:00:45 +08:00
parent 60f3437c73
commit ee7be3e7f3
14 changed files with 198 additions and 19 deletions
+7 -1
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@@ -14,7 +14,13 @@ class OptionsHubLibTests(TestCase):
@patch("lib.options.options_positions_lib.build_display_option_positions")
def test_build_options_hub_snapshot_positions(self, mock_positions, _mock_stats):
mock_positions.return_value = [
{"inst_id": "ETH-USD_UM-260703-1800-C", "pos": 2, "upl": 1.5, "mark_px": 0.1}
{
"inst_id": "ETH-USD_UM-260703-1800-C",
"pos": 2,
"upl": 9.9,
"mark_px": 0.1,
"close_preview": {"estimated_pnl": 1.5},
}
]
conn = MagicMock()
conn.__enter__ = MagicMock(return_value=conn)
+32
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@@ -0,0 +1,32 @@
"""期权净盈亏汇总与持仓卡口径一致."""
from unittest import TestCase
from unittest.mock import patch
from lib.options.options_positions_lib import net_pnl_from_display_row, sum_options_net_pnl_usdc
class OptionsNetPnlSumTests(TestCase):
def test_net_pnl_from_display_row(self):
self.assertEqual(
net_pnl_from_display_row({"close_preview": {"estimated_pnl": -2.8}, "premium_paid": 4.95}),
-2.8,
)
self.assertIsNone(
net_pnl_from_display_row({"close_preview": {"bid_invalid": True, "estimated_pnl": -1}})
)
self.assertEqual(
net_pnl_from_display_row(
{"close_preview": {"total_received": 2.15}, "premium_paid": 4.95}
),
round(2.15 - 4.95, 4),
)
@patch("lib.options.options_positions_lib.build_display_option_positions")
def test_sum_options_net_pnl_usdc(self, mock_build):
mock_build.return_value = [
{"close_preview": {"estimated_pnl": -2.8}},
{"close_preview": {"estimated_pnl": 1.0}},
{"close_preview": {"bid_invalid": True, "estimated_pnl": 9}},
]
cfg = {"fetch_option_positions": lambda ex: [{"instId": "X"}]}
self.assertEqual(sum_options_net_pnl_usdc(cfg, object()), -1.8)
+1
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@@ -83,3 +83,4 @@ class OptionsStatsLibTests(TestCase):
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)
self.assertAlmostEqual(out["net_realized_pnl"], round(0.87 - 3.99 - 1.33, 4), places=4)