fix: fetch today's in-progress bar; name weekday crons

Two independent bugs left the near-close scan running on the previous
session's close, silently degrading live execution to the stale_close
floor (~1.57 Sharpe) instead of the intended ~1.77 close-fill case.

1. OHLCV window never covered the current day. Daily bars are stamped at
   session start (04:00Z under EDT), so an end of midnight-on-end_date
   landed before that day's bar and dropped it. Widening the window alone
   fails the whole request with 'subscription does not permit querying
   recent SIP data', so end is also clamped to now-20min. Today's bar is
   now returned, roughly 20 minutes behind live -- within the staleness
   the near-close design already assumed.

   Intraday runs therefore store a partial bar and ingestion progress
   reaches today, which made incremental resume skip the after-close
   refresh entirely. collect_ohlcv_final() re-pulls the last sessions so
   the consolidated bar overwrites the partial one before outcome eval.

2. APScheduler's from_crontab() passes day-of-week to its own field where
   0=Monday, so '1-5' meant Tue-Sat: every Monday was skipped and the
   scanner ran Saturdays on stale data. Weekday schedules now use names.
   Stored settings already corrected via Admin; this fixes the defaults.

Tests cover both: today's bar inside the window, the delayed-data clamp,
historical windows untruncated, and a week of fire times asserting Monday
is present and weekends are not.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
This commit is contained in:
2026-07-20 21:10:35 +02:00
co-authored by Claude Fable 5
parent bb8aa655a1
commit 1fa3d70dec
4 changed files with 213 additions and 14 deletions
+31 -3
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@@ -4,7 +4,7 @@ from __future__ import annotations
import asyncio import asyncio
import logging import logging
from datetime import date from datetime import date, datetime, time, timedelta, timezone
from alpaca.data.historical import StockHistoricalDataClient from alpaca.data.historical import StockHistoricalDataClient
from alpaca.data.requests import StockBarsRequest from alpaca.data.requests import StockBarsRequest
@@ -16,6 +16,11 @@ from app.providers.protocol import OHLCVData
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)
# Free plans may not query data from the most recent ~15 minutes, and a window
# reaching into it fails the *entire* request — which would silently leave the
# near-close scan on yesterday's close. Margin over the documented boundary.
_RECENT_DATA_CUTOFF = timedelta(minutes=20)
class AlpacaOHLCVProvider: class AlpacaOHLCVProvider:
"""Fetches daily OHLCV bars from Alpaca Markets Data API.""" """Fetches daily OHLCV bars from Alpaca Markets Data API."""
@@ -25,6 +30,26 @@ class AlpacaOHLCVProvider:
raise ProviderError("Alpaca API key and secret are required") raise ProviderError("Alpaca API key and secret are required")
self._client = StockHistoricalDataClient(api_key, api_secret) self._client = StockHistoricalDataClient(api_key, api_secret)
@staticmethod
def _resolve_window(start_date: date, end_date: date) -> tuple[datetime, datetime]:
"""Return the instants covering ``start_date``..``end_date`` inclusive.
Two boundaries have to be right or today's bar disappears:
* Daily bars are stamped at the session start in UTC (04:00Z under EDT),
so an ``end`` of midnight on ``end_date`` lands *before* that day's bar
and silently drops it — extend to the following midnight instead.
* The window must stay out of the delayed-data period, otherwise the
request is rejected outright with "subscription does not permit
querying recent SIP data". Clamping keeps today's in-progress bar
available, roughly 20 minutes behind live.
"""
start = datetime.combine(start_date, time.min, tzinfo=timezone.utc)
end = datetime.combine(
end_date + timedelta(days=1), time.min, tzinfo=timezone.utc
)
return start, min(end, datetime.now(timezone.utc) - _RECENT_DATA_CUTOFF)
@staticmethod @staticmethod
def _to_alpaca_symbol(symbol: str) -> str: def _to_alpaca_symbol(symbol: str) -> str:
"""Convert internal symbol format (BRK-B) to Alpaca format (BRK.B).""" """Convert internal symbol format (BRK-B) to Alpaca format (BRK.B)."""
@@ -40,12 +65,15 @@ class AlpacaOHLCVProvider:
) -> list[OHLCVData]: ) -> list[OHLCVData]:
"""Fetch daily OHLCV bars for *ticker* between *start_date* and *end_date*.""" """Fetch daily OHLCV bars for *ticker* between *start_date* and *end_date*."""
alpaca_symbol = self._to_alpaca_symbol(ticker) alpaca_symbol = self._to_alpaca_symbol(ticker)
start, end = self._resolve_window(start_date, end_date)
if end <= start:
return []
try: try:
request = StockBarsRequest( request = StockBarsRequest(
symbol_or_symbols=alpaca_symbol, symbol_or_symbols=alpaca_symbol,
timeframe=TimeFrame.Day, timeframe=TimeFrame.Day,
start=start_date, start=start,
end=end_date, end=end,
adjustment=Adjustment.SPLIT, adjustment=Adjustment.SPLIT,
) )
+45 -11
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@@ -487,7 +487,12 @@ def _chunked(symbols: list[str], chunk_size: int) -> list[list[str]]:
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
async def collect_ohlcv(full_backfill: bool = False, job_name: str = "data_collector") -> None: async def collect_ohlcv(
full_backfill: bool = False,
job_name: str = "data_collector",
*,
refetch_days: int = 0,
) -> None:
"""Fetch latest daily OHLCV for all tracked tickers. """Fetch latest daily OHLCV for all tracked tickers.
Uses AlpacaOHLCVProvider. Processes each ticker independently. Uses AlpacaOHLCVProvider. Processes each ticker independently.
@@ -500,6 +505,10 @@ async def collect_ohlcv(full_backfill: bool = False, job_name: str = "data_colle
``settings.ohlcv_history_days`` window (ignoring incremental resume) — used by ``settings.ohlcv_history_days`` window (ignoring incremental resume) — used by
the manual data_backfill job to deepen shallow histories. ``job_name`` lets the the manual data_backfill job to deepen shallow histories. ``job_name`` lets the
backfill report its own runtime/resume state separate from data_collector. backfill report its own runtime/resume state separate from data_collector.
``refetch_days`` re-pulls the last N days regardless of ingestion progress —
the after-close run uses it to overwrite the day's partial intraday bar, which
resume logic would otherwise skip as "already up to date".
""" """
_log_event(logging.INFO, "job_start", job=job_name) _log_event(logging.INFO, "job_start", job=job_name)
_runtime_start(job_name) _runtime_start(job_name)
@@ -536,11 +545,14 @@ async def collect_ohlcv(full_backfill: bool = False, job_name: str = "data_colle
return return
end_date = date.today() end_date = date.today()
# Full backfill: pass an explicit start_date so fetch_and_ingest re-pulls # An explicit start_date makes fetch_and_ingest re-pull that window instead
# the whole window instead of resuming from the last stored bar. # of resuming from the last stored bar (upsert overwrites, so this is safe).
backfill_start = ( if full_backfill:
end_date - timedelta(days=settings.ohlcv_history_days) if full_backfill else None backfill_start = end_date - timedelta(days=settings.ohlcv_history_days)
) elif refetch_days:
backfill_start = end_date - timedelta(days=refetch_days)
else:
backfill_start = None
for symbol in symbols: for symbol in symbols:
_runtime_progress(job_name, processed=processed, total=total, current_ticker=symbol) _runtime_progress(job_name, processed=processed, total=total, current_ticker=symbol)
@@ -598,6 +610,18 @@ async def backfill_ohlcv() -> None:
await collect_ohlcv(full_backfill=True, job_name="data_backfill") await collect_ohlcv(full_backfill=True, job_name="data_backfill")
async def collect_ohlcv_final() -> None:
"""After-close OHLCV refresh that replaces the day's partial bar.
Intraday runs store today's bar while the session is still open, so ingestion
progress already reads "today" and incremental resume would skip the day
entirely — leaving a partial bar as the permanent record. ``refetch_days``
forces the last few sessions to be re-pulled so outcome evaluation and
fill-quality checks grade against the real close.
"""
await collect_ohlcv(refetch_days=_FINAL_REFETCH_DAYS)
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
# Job: Sentiment Collector # Job: Sentiment Collector
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
@@ -1183,6 +1207,10 @@ async def sync_ticker_universe() -> None:
# — the qualifying full-universe scan runs once near the US close so post-stop # — the qualifying full-universe scan runs once near the US close so post-stop
# gate-reset sees one observation per trading day (plus the trade_policy # gate-reset sees one observation per trading day (plus the trade_policy
# distinct-day guard for manual re-scans). # distinct-day guard for manual re-scans).
# Sessions re-pulled by the after-close fetch so the consolidated bar overwrites
# the intraday partial one (covers a long weekend / holiday gap).
_FINAL_REFETCH_DAYS = 5
_DAILY_PIPELINE_STEPS = [ _DAILY_PIPELINE_STEPS = [
("data_collector", "collect_ohlcv"), ("data_collector", "collect_ohlcv"),
("benchmark_collector", "collect_benchmark"), ("benchmark_collector", "collect_benchmark"),
@@ -1206,6 +1234,8 @@ _DAILY_PIPELINE_STEPS = [
# entries behave like stale_close (still acceptable per execution-recovery matrix). # entries behave like stale_close (still acceptable per execution-recovery matrix).
# No exchange calendar dependency. # No exchange calendar dependency.
_NEAR_CLOSE_PIPELINE_STEPS = [ _NEAR_CLOSE_PIPELINE_STEPS = [
# Must land today's in-progress bar (~20 min behind live), or the scan falls
# back to the previous close and execution degrades to the stale_close floor.
("data_collector", "collect_ohlcv"), ("data_collector", "collect_ohlcv"),
("rr_scanner", "scan_rr"), ("rr_scanner", "scan_rr"),
("alerts", "dispatch_alerts_job"), ("alerts", "dispatch_alerts_job"),
@@ -1214,7 +1244,7 @@ _NEAR_CLOSE_PIPELINE_STEPS = [
# After close (~16:45 ET MonFri): fresh OHLCV fetch so outcomes resolve on the # After close (~16:45 ET MonFri): fresh OHLCV fetch so outcomes resolve on the
# final bar, not the near-close partial bar, then outcome/paper close. # final bar, not the near-close partial bar, then outcome/paper close.
_AFTER_CLOSE_PIPELINE_STEPS = [ _AFTER_CLOSE_PIPELINE_STEPS = [
("data_collector", "collect_ohlcv"), ("data_collector", "collect_ohlcv_final"),
("outcome_evaluator", "evaluate_outcomes"), ("outcome_evaluator", "evaluate_outcomes"),
] ]
@@ -1338,18 +1368,22 @@ def _parse_frequency(freq: str) -> dict[str, int]:
# All wall times are America/New_York after the near-close execution cutover. # All wall times are America/New_York after the near-close execution cutover.
# Stored SystemSetting values shadow these defaults — deploy migration 023 # Stored SystemSetting values shadow these defaults — deploy migration 023
# rewrites schedule_* keys so prod does not keep scanning at 07:00 Berlin. # rewrites schedule_* keys so prod does not keep scanning at 07:00 Berlin.
# DAY-OF-WEEK MUST BE NAMES, NEVER NUMBERS. APScheduler's from_crontab() passes
# field 5 straight to its own day_of_week, where 0=Monday — so "1-5" resolves to
# TueSat, silently skipping every Monday and scanning on Saturdays. Names are
# unambiguous in both dialects.
SCHEDULE_DEFAULTS: dict[str, str] = { SCHEDULE_DEFAULTS: dict[str, str] = {
"schedule_timezone": "America/New_York", "schedule_timezone": "America/New_York",
# Morning data/display refresh (no qualifying R:R scan). # Morning data/display refresh (no qualifying R:R scan).
"schedule_daily_pipeline_cron": "0 2 * * *", "schedule_daily_pipeline_cron": "0 2 * * *",
# Fetch in-progress bars → scan → Telegram (manual MOC window). # Fetch in-progress bars → scan → Telegram (manual MOC window).
"schedule_near_close_pipeline_cron": "30 15 * * 1-5", "schedule_near_close_pipeline_cron": "30 15 * * mon-fri",
# Fetch final bars → outcome eval (must not run on the partial near-close bar). # Fetch final bars → outcome eval (must not run on the partial near-close bar).
"schedule_after_close_pipeline_cron": "45 16 * * 1-5", "schedule_after_close_pipeline_cron": "45 16 * * mon-fri",
# Hourly mid-session price + outcome (10:0015:00 ET MonFri). # Hourly mid-session price + outcome (10:0015:00 ET MonFri).
"schedule_intraday_pipeline_cron": "0 10-15 * * 1-5", "schedule_intraday_pipeline_cron": "0 10-15 * * mon-fri",
# Weekly fundamentals early Monday NY. # Weekly fundamentals early Monday NY.
"schedule_fundamentals_cron": "0 1 * * 1", "schedule_fundamentals_cron": "0 1 * * mon",
} }
# job id -> schedule setting key # job id -> schedule setting key
+88
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@@ -0,0 +1,88 @@
"""Alpaca fetch window / feed selection.
Regression cover for the 2026-07-20 outage: the near-close scan silently ran on
the previous session's close because ``end`` resolved to midnight on end_date,
which is *before* that day's bar timestamp (04:00Z under EDT). Widening the
window also has to stay clear of the delayed-data period, which rejects the whole
request.
"""
from __future__ import annotations
from datetime import date, datetime, timedelta, timezone
import pytest
from app.providers.alpaca import AlpacaOHLCVProvider
class _CapturingClient:
"""Stands in for StockHistoricalDataClient, recording the request."""
def __init__(self) -> None:
self.request = None
def get_stock_bars(self, request):
self.request = request
return {"AAPL": []}
def _provider() -> tuple[AlpacaOHLCVProvider, _CapturingClient]:
provider = AlpacaOHLCVProvider("key", "secret")
client = _CapturingClient()
provider._client = client
return provider, client
def _midnight(day: date) -> datetime:
"""Naive-UTC midnight — the SDK strips tzinfo from request datetimes."""
return datetime.combine(day, datetime.min.time())
def _utcnow() -> datetime:
return datetime.now(timezone.utc).replace(tzinfo=None)
@pytest.mark.asyncio
async def test_todays_in_progress_bar_is_inside_the_window():
"""The whole near-close design depends on today's bar being fetchable."""
provider, client = _provider()
today = date.today()
await provider.fetch_ohlcv("AAPL", today - timedelta(days=5), today)
# Daily bars are stamped at session start (04:00Z); a midnight end drops them.
assert client.request.end > _midnight(today)
@pytest.mark.asyncio
async def test_window_stays_out_of_the_delayed_data_period():
"""A window reaching the last ~15 minutes fails the entire request."""
provider, client = _provider()
await provider.fetch_ohlcv("AAPL", date.today() - timedelta(days=5), date.today())
assert client.request.end <= _utcnow() - timedelta(minutes=15)
@pytest.mark.asyncio
async def test_completed_past_day_is_fully_covered():
"""Clamping must not swallow the last day of a historical window."""
provider, client = _provider()
end_date = date.today() - timedelta(days=3)
await provider.fetch_ohlcv("AAPL", end_date - timedelta(days=5), end_date)
assert client.request.end > _midnight(end_date)
@pytest.mark.asyncio
async def test_window_collapsing_to_nothing_skips_the_call():
"""A start inside the delayed period yields no request at all, not an error."""
provider, client = _provider()
tomorrow = date.today() + timedelta(days=1)
records = await provider.fetch_ohlcv("AAPL", tomorrow, tomorrow)
assert records == []
assert client.request is None
+49
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@@ -32,6 +32,55 @@ class TestValidateCron:
validate_cron("0 7 * * *", "Mars/Phobos") validate_cron("0 7 * * *", "Mars/Phobos")
class TestTradingDayCrons:
"""APScheduler's from_crontab() uses 0=Monday, so numeric "1-5" means
TueSat: it skips every Monday and fires on Saturdays. Weekday schedules
must therefore be spelled with day *names*.
"""
_WEEKDAY_KEYS = (
"schedule_near_close_pipeline_cron",
"schedule_after_close_pipeline_cron",
"schedule_intraday_pipeline_cron",
)
@pytest.mark.parametrize("key", _WEEKDAY_KEYS)
def test_fires_monday_and_never_saturday(self, key: str):
from datetime import datetime, timedelta
from apscheduler.triggers.cron import CronTrigger
trigger = CronTrigger.from_crontab(
SCHEDULE_DEFAULTS[key], timezone=SCHEDULE_DEFAULTS["schedule_timezone"]
)
# Walk a full week of fire times from a known Sunday.
cursor = datetime(2026, 7, 19, tzinfo=trigger.timezone)
weekdays = set()
previous = None
for _ in range(12):
fire = trigger.get_next_fire_time(previous, cursor)
weekdays.add(fire.strftime("%a"))
previous = fire
cursor = fire + timedelta(seconds=1)
assert "Mon" in weekdays, f"{key} skips Mondays — numeric day-of-week?"
assert {"Sat", "Sun"}.isdisjoint(weekdays), f"{key} fires on a weekend"
def test_fundamentals_runs_on_monday(self):
from datetime import datetime
from apscheduler.triggers.cron import CronTrigger
trigger = CronTrigger.from_crontab(
SCHEDULE_DEFAULTS["schedule_fundamentals_cron"],
timezone=SCHEDULE_DEFAULTS["schedule_timezone"],
)
fire = trigger.get_next_fire_time(
None, datetime(2026, 7, 19, tzinfo=trigger.timezone)
)
assert fire.strftime("%a") == "Mon"
class TestScheduleConfig: class TestScheduleConfig:
async def test_defaults_when_unset(self, session: AsyncSession): async def test_defaults_when_unset(self, session: AsyncSession):
config = await get_schedule_config(session) config = await get_schedule_config(session)