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signal-platform/tests/unit/test_shadow_book_service.py
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dennisthiessenandClaude Fable 5 6a10c8ff09 fix: guarantee shadow scan freshness, long-only, user-scoped setup list
Second review round on the shadow book; all three findings were real.

- Scan freshness is now proven, not assumed. Pipeline steps run and fail
  independently, so a disabled or failed scan step still let the shadow
  step run on the newest *stored* setups -- a prior session's picks at
  stale prices. scan_all_tickers now records a run boundary
  (last_scan_run_started_at / _completed_at) only on successful
  completion; the shadow book refuses to trade unless COMPLETED is fresh
  and selects only setups with detected_at >= the run start. Deduplication
  to the latest row per ticker now happens BEFORE qualification, so a newer
  unqualified row suppresses an older qualified one rather than the reverse.

- Shadow selection is hard long-only. setup_qualifies only enforces
  long-only when min_momentum_percentile > 0, but 0 is a legal admin
  setting, and the cash accounting assumes long positions -- so the
  constraint is enforced in shadow selection regardless of gate config.

- The personal setup list excludes only the caller's own open positions.
  get_trade_setups gained exclude_open_trade_user_id; the trades route
  passes the authenticated user, while the Telegram broadcast stays global
  since it has no single owner.

New tests cover stale/absent scan markers, prior-run exclusion, newer
unqualified suppressing older qualified, long-only under a disabled gate,
and both sides of the user-scoped exclusion.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-21 09:31:24 +02:00

345 lines
13 KiB
Python

"""Shadow book selection, sizing and book isolation.
The shadow book only has evidentiary value if it selects what the backtest
would select: top-ranked qualified setups, up to capacity, skipping held names
and post-stop gate-reset lockouts. These tests pin that contract.
"""
from __future__ import annotations
import json
from datetime import datetime, timedelta, timezone
import pytest
from app.models.paper_trade import PaperTrade
from app.models.ticker import Ticker
from app.models.trade_setup import TradeSetup
from app.models.user import User
from app.services import shadow_book_service
from app.services.trade_policy import MANUAL_BOOK, SHADOW_BOOK, get_reentry_gate_locks
@pytest.fixture
async def session():
from tests.conftest import _test_session_factory
async with _test_session_factory() as session:
yield session
# Floors the gate applies; every setup below clears them so tests exercise
# ranking rather than qualification.
_CONFIG = {
"min_rr": 2.0,
"min_confidence": 0.0,
"min_momentum_percentile": 80.0,
"exclude_neutral": False,
}
async def _seed(session, symbols: list[str]) -> dict[str, int]:
session.add(User(id=1, username="owner", password_hash="x"))
ids: dict[str, int] = {}
for i, symbol in enumerate(symbols, start=1):
ticker = Ticker(id=i, symbol=symbol, name=symbol)
session.add(ticker)
ids[symbol] = i
await session.commit()
return ids
def _setup(
ticker_id: int,
*,
rank: float,
detected: datetime,
entry=100.0,
stop=95.0,
direction="long",
):
reward = abs(entry - stop) * 3
target = entry + reward if direction == "long" else entry - reward
return TradeSetup(
ticker_id=ticker_id,
direction=direction,
entry_price=entry,
stop_loss=stop,
target=target,
rr_ratio=3.0,
composite_score=70.0,
confidence_score=70.0,
detected_at=detected,
strategy_rank=rank,
momentum_percentile=90.0,
recommended_action="buy",
targets_json=json.dumps(
[{"price": target, "probability": 45.0, "is_primary": True, "rr": 3.0}]
),
)
async def _mark_scan(session, *, started: datetime, completed: datetime | None = None):
"""Record a successful scan run so the shadow book has something to act on."""
from app.services import rr_scanner_service as rr
completed = completed or started
await shadow_book_service.settings_store.upsert_setting(
session, rr.KEY_LAST_SCAN_STARTED, started.isoformat()
)
await shadow_book_service.settings_store.upsert_setting(
session, rr.KEY_LAST_SCAN_COMPLETED, completed.isoformat()
)
await session.commit()
class TestSizing:
def test_risks_one_percent_down_to_the_stop(self):
shares = shadow_book_service.position_shares(100_000, 1.0, 100.0, 95.0)
assert shares == pytest.approx(200.0) # $1,000 risk / $5 per share
def test_zero_risk_distance_takes_no_position(self):
assert shadow_book_service.position_shares(100_000, 1.0, 100.0, 100.0) == 0.0
def test_tight_stop_is_capped_at_the_notional_limit(self):
"""Without the cap, 1% risk on a $0.50 stop is a 2x-equity position."""
shares = shadow_book_service.position_shares(100_000, 1.0, 100.0, 99.5)
# Risk sizing alone wants 2,000 shares ($200k); the 20% cap allows 200.
assert shares == pytest.approx(200.0)
assert shares * 100.0 <= 100_000 * shadow_book_service.NOTIONAL_CAP
def test_cannot_spend_cash_it_does_not_have(self):
shares = shadow_book_service.position_shares(
100_000, 1.0, 100.0, 95.0, cash_available=5_000
)
assert shares == pytest.approx(50.0)
def test_no_cash_means_no_position(self):
assert (
shadow_book_service.position_shares(
100_000, 1.0, 100.0, 95.0, cash_available=0
)
== 0.0
)
class TestSelection:
@pytest.mark.asyncio
async def test_takes_top_ranked_up_to_capacity(self, session):
ids = await _seed(session, ["AAA", "BBB", "CCC"])
now = datetime.now(timezone.utc)
scan_start = now - timedelta(minutes=5)
session.add_all(
[
_setup(ids["AAA"], rank=0.10, detected=now),
_setup(ids["BBB"], rank=0.90, detected=now),
_setup(ids["CCC"], rank=0.50, detected=now),
]
)
await session.commit()
await _mark_scan(session, started=scan_start, completed=now)
await shadow_book_service.settings_store.upsert_setting(
session, shadow_book_service.KEY_CAPACITY, "2"
)
await session.commit()
summary = await shadow_book_service.open_shadow_positions(
session, activation_config=_CONFIG
)
assert summary["opened"] == 2
# Highest strategy_rank first — the backtest's ordering key.
assert summary["symbols"] == [ids["BBB"], ids["CCC"]]
@pytest.mark.asyncio
async def test_skips_names_already_held(self, session):
ids = await _seed(session, ["AAA", "BBB"])
now = datetime.now(timezone.utc)
session.add_all(
[_setup(ids["AAA"], rank=0.9, detected=now), _setup(ids["BBB"], rank=0.5, detected=now)]
)
session.add(
PaperTrade(
user_id=1, ticker_id=ids["AAA"], direction="long", entry_price=100.0,
shares=10.0, stop_loss=95.0, target=115.0, status="open",
opened_at=now, book=SHADOW_BOOK,
)
)
await session.commit()
await _mark_scan(session, started=now - timedelta(minutes=5), completed=now)
summary = await shadow_book_service.open_shadow_positions(
session, activation_config=_CONFIG
)
assert summary["skipped_held"] == 1
assert summary["symbols"] == [ids["BBB"]]
@pytest.mark.asyncio
async def test_respects_post_stop_gate_lock(self, session):
ids = await _seed(session, ["AAA"])
now = datetime.now(timezone.utc)
session.add(_setup(ids["AAA"], rank=0.9, detected=now))
# Stopped out and never requalified — locked out of re-entry.
session.add(
PaperTrade(
user_id=1, ticker_id=ids["AAA"], direction="long", entry_price=100.0,
shares=10.0, stop_loss=95.0, target=115.0, status="closed",
opened_at=now - timedelta(days=5), closed_at=now - timedelta(days=1),
close_price=95.0, close_reason="stop", book=SHADOW_BOOK,
)
)
await session.commit()
await _mark_scan(session, started=now - timedelta(minutes=5), completed=now)
summary = await shadow_book_service.open_shadow_positions(
session, activation_config=_CONFIG
)
assert summary["opened"] == 0
assert summary["skipped_locked"] == 1
class TestScanFreshness:
@pytest.mark.asyncio
async def test_no_scan_marker_means_no_trades(self, session):
"""A fresh DB / never-run scan must not trade anything."""
ids = await _seed(session, ["AAA"])
session.add(_setup(ids["AAA"], rank=0.9, detected=datetime.now(timezone.utc)))
await session.commit()
summary = await shadow_book_service.open_shadow_positions(
session, activation_config=_CONFIG
)
assert summary["opened"] == 0
@pytest.mark.asyncio
async def test_stale_scan_marker_refuses_even_fresh_looking_setups(self, session):
"""If this pipeline's scan failed/was disabled, the completion marker is
from a prior session — refuse, no matter how recent the setup rows look."""
ids = await _seed(session, ["AAA"])
now = datetime.now(timezone.utc)
session.add(_setup(ids["AAA"], rank=0.9, detected=now))
await session.commit()
# Marker is a day old → no scan ran in this pass.
await _mark_scan(session, started=now - timedelta(days=1, minutes=5),
completed=now - timedelta(days=1))
summary = await shadow_book_service.open_shadow_positions(
session, activation_config=_CONFIG
)
assert summary["opened"] == 0
@pytest.mark.asyncio
async def test_setups_before_this_run_are_excluded(self, session):
"""A qualified row from a previous run (before the current scan start)
must not be traded even though the current scan completed."""
ids = await _seed(session, ["AAA", "BBB"])
now = datetime.now(timezone.utc)
scan_start = now - timedelta(minutes=5)
session.add_all(
[
_setup(ids["AAA"], rank=0.9, detected=now), # this run
_setup(ids["BBB"], rank=0.8, detected=now - timedelta(hours=20)), # prior run
]
)
await session.commit()
await _mark_scan(session, started=scan_start, completed=now)
summary = await shadow_book_service.open_shadow_positions(
session, activation_config=_CONFIG
)
assert summary["symbols"] == [ids["AAA"]]
@pytest.mark.asyncio
async def test_newer_unqualified_row_suppresses_older_qualified(self, session):
"""Dedup happens before qualification: a fresh unqualified row for a
ticker must beat an earlier qualified row, not the other way round."""
ids = await _seed(session, ["AAA"])
now = datetime.now(timezone.utc)
scan_start = now - timedelta(minutes=10)
# Earlier row qualifies; later row fails the R:R floor (rr 1.0 < 2.0).
older = _setup(ids["AAA"], rank=0.9, detected=now - timedelta(minutes=8))
newer = TradeSetup(
ticker_id=ids["AAA"], direction="long", entry_price=100.0,
stop_loss=95.0, target=105.0, rr_ratio=1.0, composite_score=70.0,
confidence_score=70.0, detected_at=now, strategy_rank=0.9,
momentum_percentile=90.0, recommended_action="buy",
targets_json=json.dumps(
[{"price": 105.0, "probability": 45.0, "is_primary": True, "rr": 1.0}]
),
)
session.add_all([older, newer])
await session.commit()
await _mark_scan(session, started=scan_start, completed=now)
summary = await shadow_book_service.open_shadow_positions(
session, activation_config=_CONFIG
)
assert summary["opened"] == 0
class TestLongOnly:
@pytest.mark.asyncio
async def test_shorts_are_never_taken_even_with_gate_disabled(self, session):
"""min_momentum_percentile=0 lets shorts pass the gate; shadow is always
long-only regardless, and its cash accounting assumes longs."""
ids = await _seed(session, ["AAA"])
now = datetime.now(timezone.utc)
session.add(
_setup(ids["AAA"], rank=0.9, detected=now, direction="short",
entry=100.0, stop=105.0)
)
await session.commit()
await _mark_scan(session, started=now - timedelta(minutes=5), completed=now)
gate_off = {**_CONFIG, "min_momentum_percentile": 0.0}
summary = await shadow_book_service.open_shadow_positions(
session, activation_config=gate_off
)
assert summary["opened"] == 0
class TestBookIsolation:
@pytest.mark.asyncio
async def test_gate_locks_do_not_leak_between_books(self, session):
"""A manual stop must not lock the shadow book out of the same name."""
ids = await _seed(session, ["AAA"])
now = datetime.now(timezone.utc)
session.add(
PaperTrade(
user_id=1, ticker_id=ids["AAA"], direction="long", entry_price=100.0,
shares=10.0, stop_loss=95.0, target=115.0, status="closed",
opened_at=now - timedelta(days=5), closed_at=now - timedelta(days=1),
close_price=95.0, close_reason="stop", book=MANUAL_BOOK,
)
)
await session.commit()
assert ids["AAA"] in await get_reentry_gate_locks(session, book=MANUAL_BOOK)
assert ids["AAA"] not in await get_reentry_gate_locks(session, book=SHADOW_BOOK)
@pytest.mark.asyncio
async def test_shadow_equity_ignores_manual_pnl(self, session):
ids = await _seed(session, ["AAA"])
now = datetime.now(timezone.utc)
session.add(
PaperTrade(
user_id=1, ticker_id=ids["AAA"], direction="long", entry_price=100.0,
shares=100.0, stop_loss=95.0, target=115.0, status="closed",
opened_at=now - timedelta(days=5), closed_at=now,
close_price=150.0, close_reason="trailing", book=MANUAL_BOOK,
)
)
await session.commit()
equity, cash = await shadow_book_service.equity_and_cash(session, 100_000.0, [])
assert equity == 100_000.0
assert cash == 100_000.0