CI/CD / build-and-push (push) Successful in 8s
Cycle-10 resolution check found market 562186 resolved (Paxton YES) but the close failed with asyncpg AmbiguousParameterError: Postgres cannot infer the type of a bare '$3 IS NOT NULL' in the close_pnl CASE. Reproduced via PREPARE in the postgres pod; fixed by casting every $3 use to double precision. The failed DB write also left memory/DB diverged: close_position() popped the position and credited cash before persisting, so the retry at cycle 20 skipped the market (pnl=n/a) while the DB row stayed open. Now the DB write happens first and memory mutates only on success; check_resolutions() also isolates per-market close failures so one error doesn't abort the cycle. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
131 lines
4.6 KiB
Python
131 lines
4.6 KiB
Python
"""
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Tests for PaperExecutor.close_position() settlement payout.
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Regression: the old code computed cash += position_cost * resolution, which
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ignores direction — a winning BUY_NO (resolution = 0.0) paid out $0.
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Correct settlement:
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BUY_YES: payout = shares * resolution
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BUY_NO: payout = shares * (1 - resolution)
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pnl = payout - net_cost
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"""
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import asyncio
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import pytest
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from bot.executor import paper
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from bot.executor.paper import PaperExecutor
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class FakeDB:
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"""Minimal Database stub for close_position()."""
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def __init__(self, trades_by_market: dict[str, list[dict]]):
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self._trades = trades_by_market
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self.closed: list[tuple] = []
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async def get_open_trades_for_market(self, market_id: str) -> list[dict]:
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return self._trades.get(market_id, [])
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async def close_paper_position(self, market_id, reason="", resolution=None):
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self.closed.append((market_id, reason, resolution))
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def _close(direction: str, resolution: float):
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"""Open one paper trade (size $100 @ 0.5 → 200 shares, net_cost $102)
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and settle it at `resolution`. Returns (pnl, executor, notifications)."""
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notifications: list[tuple] = []
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async def fake_trade_closed(question, pnl):
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notifications.append((question, pnl))
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async def run():
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db = FakeDB({
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"mkt1": [{"direction": direction, "shares": 200.0, "net_cost": 102.0}],
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})
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ex = PaperExecutor(db=db, bankroll=1000.0)
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ex._portfolio.cash = 898.0 # 1000 - net_cost spent at entry
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ex._portfolio.positions["mkt1"] = 100.0 # size_usdc, as execute() stores it
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original = paper.telegram.trade_closed
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paper.telegram.trade_closed = fake_trade_closed
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try:
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pnl = await ex.close_position("mkt1", resolution, question="Test market?")
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await asyncio.sleep(0) # let the notification task run
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finally:
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paper.telegram.trade_closed = original
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return pnl, ex, db
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pnl, ex, db = asyncio.run(run())
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return pnl, ex, db, notifications
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def test_buy_yes_wins():
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pnl, ex, db, notif = _close("BUY_YES", resolution=1.0)
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assert pnl == pytest.approx(200.0 - 102.0) # payout = 200 * 1.0
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assert pnl > 0
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assert ex._portfolio.cash == pytest.approx(898.0 + 200.0)
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assert notif[0][1] > 0 # Telegram reports a win
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def test_buy_yes_loses():
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pnl, ex, db, notif = _close("BUY_YES", resolution=0.0)
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assert pnl == pytest.approx(-102.0) # payout = 0
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assert pnl < 0
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assert ex._portfolio.cash == pytest.approx(898.0)
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assert notif[0][1] < 0 # Telegram reports a loss
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def test_buy_no_wins():
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pnl, ex, db, notif = _close("BUY_NO", resolution=0.0)
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assert pnl == pytest.approx(200.0 - 102.0) # payout = 200 * (1 - 0.0)
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assert pnl > 0
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assert ex._portfolio.cash == pytest.approx(898.0 + 200.0)
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assert notif[0][1] > 0 # win despite resolution = 0.0
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def test_buy_no_loses():
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pnl, ex, db, notif = _close("BUY_NO", resolution=1.0)
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assert pnl == pytest.approx(-102.0) # payout = 200 * (1 - 1.0) = 0
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assert pnl < 0
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assert ex._portfolio.cash == pytest.approx(898.0)
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assert notif[0][1] < 0 # loss despite resolution = 1.0
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def test_position_is_removed_and_persisted():
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pnl, ex, db, notif = _close("BUY_YES", resolution=1.0)
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assert "mkt1" not in ex._portfolio.positions
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assert db.closed == [("mkt1", "resolved", 1.0)]
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def test_unknown_market_returns_none():
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async def run():
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ex = PaperExecutor(db=FakeDB({}), bankroll=1000.0)
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return await ex.close_position("nope", 1.0)
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assert asyncio.run(run()) is None
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def test_db_failure_keeps_position_for_retry():
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"""Regression: a DB error during close must not mutate the in-memory
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portfolio — otherwise the next resolution check skips the market
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(not in positions) and the DB row stays open forever."""
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class FailingDB(FakeDB):
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async def close_paper_position(self, market_id, reason="", resolution=None):
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raise RuntimeError("db down")
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async def run():
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db = FailingDB({
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"mkt1": [{"direction": "BUY_YES", "shares": 200.0, "net_cost": 102.0}],
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})
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ex = PaperExecutor(db=db, bankroll=1000.0)
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ex._portfolio.cash = 898.0
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ex._portfolio.positions["mkt1"] = 100.0
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with pytest.raises(RuntimeError):
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await ex.close_position("mkt1", 1.0)
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return ex
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ex = asyncio.run(run())
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assert ex._portfolio.positions == {"mkt1": 100.0} # still open in memory
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assert ex._portfolio.cash == pytest.approx(898.0) # payout not credited
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