k
d6c802ef26
Batch of the pre-launch audit campaign (BUG-01…14 plus three new features): Pricing / TP-SL protection - Add app/services/hl_price_feed.py: supplemental HL allMids poller for HL-native assets (HYPE, PURR) not listed on Binance. Pumps price_store + tp_sl_monitor.on_price_tick so bot trades on these assets keep full stop-loss / take-profit / trailing protection instead of max-hold only. - Wire feed into main.py lifespan (startup task + graceful shutdown cancel). Telegram - Add format_trump_mention + PATH B in _dispatch: crypto-relevant Trump posts with no directional signal (relevant=True, signal=hold) now alert the public channel only (no per-subscriber noise). - Rate limiter (slowapi) on the API; assorted bot/digest fixes. KOL on-chain - seed_kol_wallets.py: KOL_FEEDS coverage cross-check; reversibly deactivate orphaned wallets (handle not in KOL_FEEDS → can never produce divergence) so the scanner stops burning cycles on them. Tests / misc - Fix brittle test_macro_ahr999_uses_same_formula_as_scanner: mock now uses realistic ms timestamps so the in-progress-day drop fires, matching the fetcher's bar count (was 0.3179 vs 0.3178 off-by-one). - Refresh stale notify_signal comment in truth_social.py. Frontend reduce-action type fix lives in the sibling repo. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
98 lines
3.2 KiB
Python
98 lines
3.2 KiB
Python
from datetime import datetime, timezone
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from app.services.macro.fetchers import (
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_drop_in_progress_daily_klines,
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_latest_closed_daily_point,
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_parse_farside_latest_total,
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)
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from app.services.bottom_indicators import ahr999 as scanner_ahr999
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from app.services.macro import fetchers
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def test_drop_in_progress_daily_klines_removes_today_open_bar():
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now = datetime(2026, 5, 25, 8, 0, tzinfo=timezone.utc)
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rows = [
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[1779494400000, 0, 0, 0, "76715.20"],
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[1779580800000, 0, 0, 0, "77030.30"],
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[1779667200000, 0, 0, 0, "77404.80"], # 2026-05-25 00:00 UTC, still open
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]
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filtered = _drop_in_progress_daily_klines(rows, now=now)
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assert [row[0] for row in filtered] == [1779494400000, 1779580800000]
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def test_latest_closed_daily_point_skips_today_point():
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now = datetime(2026, 5, 25, 8, 0, tzinfo=timezone.utc)
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rows = [
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{"timestamp": 1779494400000, "sumOpenInterestValue": "1"},
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{"timestamp": 1779580800000, "sumOpenInterestValue": "2"},
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{"timestamp": 1779667200000, "sumOpenInterestValue": "3"},
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]
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latest = _latest_closed_daily_point(rows, now=now)
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assert latest == rows[1]
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def test_parse_farside_latest_total_uses_newest_date_not_first_row():
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html = """
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<table>
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<tbody>
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<tr><td>11 Jan 2024</td><td>0.0</td><td>655.3</td></tr>
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<tr><td>24 May 2026</td><td>0.0</td><td>(12.5)</td></tr>
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<tr><td>25 May 2026</td><td>0.0</td><td>321.0</td></tr>
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</tbody>
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</table>
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"""
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parsed = _parse_farside_latest_total(html)
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assert parsed["value"] == 321_000_000.0
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assert parsed["raw"]["date"] == "25 May 2026"
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def test_macro_ahr999_uses_same_formula_as_scanner(monkeypatch):
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# Build 300 daily bars with realistic OPEN timestamps so the fetcher's
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# in-progress-day drop (_drop_in_progress_daily_klines) actually fires on
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# the last bar (today's 00:00 UTC). With fake integer timestamps the drop
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# is a no-op, so the fetcher would compute AHR999 over one MORE bar than
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# the scanner below — producing a spurious 4th-decimal mismatch (the
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# fetcher and scanner share the exact same ahr999() function, so identical
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# inputs must yield identical output).
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now = datetime.now(timezone.utc)
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midnight_ms = int(
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now.replace(hour=0, minute=0, second=0, microsecond=0).timestamp() * 1000
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)
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day_ms = 86_400_000
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# Row i opens at (299 - i) days before today's midnight; the last row
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# (i=299) opens at today's midnight → still in progress → dropped.
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closes = [
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[midnight_ms - (299 - i) * day_ms, 0, 0, 0, str(50_000 + i)]
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for i in range(300)
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]
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class _Resp:
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def raise_for_status(self):
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return None
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def json(self):
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return closes
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class _Client:
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async def __aenter__(self):
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return self
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async def __aexit__(self, exc_type, exc, tb):
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return None
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async def get(self, *_args, **_kwargs):
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return _Resp()
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monkeypatch.setattr(fetchers.httpx, "AsyncClient", lambda *a, **kw: _Client())
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result = __import__("asyncio").run(fetchers.fetch_ahr999())
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expected = scanner_ahr999([float(r[4]) for r in closes[:-1]])
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assert result["value"] == round(expected or 0, 4)
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