A SourceImporter that ingests post-no-preference/earnings into earnings_events for the tracked universe. Shadow by construction (nothing reads earnings_events until A4). - earnings_alignment.py: pure calendar<->EPS-history min-cost monotonic DP, reused from scripts/import_dolthub_earnings.py with identical constants (not extending that one-off script); symbol/session normalization; unit-tested against the pinned constants. - dolt_client.py: async dolt CLI wrapper (pull / current_commit / query_csv via asyncio.create_subprocess_exec — never blocks the shared event loop) + disk guard before pull. - dolt_earnings_importer.py: detect_revision = pull + HEAD hash; stage = query earnings_calendar + eps_history, dedup, align, map act_symbol->ticker_id (normalize both sides so dotted BRK.B joins); promote is destructive (delete future dolt_earnings rows + upsert; past never deleted) so validate is FAIL-CLOSED — blocks when the staged forward calendar is empty or has collapsed below 50% of what's loaded (the forward calendar is the acceptance gate). - NOTICE: CC BY-SA 4.0 attribution; config: DOLT_BINARY / DOLT_DATA_DIR / etc. Verified end-to-end against the real 1.68 GB clone (5 tickers: 133 events, 128 paired, forward calendar to 2026-08-26, BRK.B joined). Tests: 9 alignment + 7 importer + 1 skip-guarded real-clone smoke. Full suite 699 passed. Remaining for A2: wire the daily ~02:30 ET shadow cron — deferred to pair with the deploy-time dolt install + DOLT_DATA_DIR provisioning. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
263 lines
9.0 KiB
Python
263 lines
9.0 KiB
Python
"""Integration tests for the DoltHub earnings importer, driven through the real
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import framework with a fake dolt client (no subprocess, no clone).
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Covers the load-bearing behaviors: symbol-normalized join to the tracked
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universe, calendar<->history pairing (matched → EPS, unmatched → null), the
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destructive-but-safe reschedule/cancel promotion, past rows never deleted, and
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the fail-closed forward-calendar gates that guard the destructive promote.
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"""
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from __future__ import annotations
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import os
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import shutil
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import tempfile
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from datetime import date
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from pathlib import Path
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import pytest
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from sqlalchemy import select
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from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_async_engine
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from app.database import Base
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import app.models # noqa: F401
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from app.models.earnings_event import EarningsEvent
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from app.models.ticker import Ticker
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from app.services.data_import import STATUS_FAILED, STATUS_PROMOTED, run_import
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from app.services.dolt_earnings_importer import DoltEarningsImporter
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TODAY = date(2026, 7, 22)
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@pytest.fixture
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async def engine():
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fd, path = tempfile.mkstemp(suffix=".db")
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os.close(fd)
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eng = create_async_engine(f"sqlite+aiosqlite:///{path}")
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async with eng.begin() as conn:
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await conn.run_sync(Base.metadata.create_all)
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try:
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yield eng
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finally:
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await eng.dispose()
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try:
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os.unlink(path)
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except OSError:
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pass
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def _factory(engine):
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return async_sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
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class FakeDolt:
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def __init__(self, calendar, history, commit="c1"):
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self.calendar = calendar
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self.history = history
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self.commit = commit
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self.pulled = False
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async def pull(self, repo_dir, *, binary):
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self.pulled = True
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async def current_commit(self, repo_dir, *, binary):
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return self.commit
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async def query_csv(self, repo_dir, sql, *, binary):
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if "earnings_calendar" in sql:
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return self.calendar
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if "eps_history" in sql:
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return self.history
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return []
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def _cal(symbol, d, when="After market close"):
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return {"act_symbol": symbol, "date": d, "when": when}
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def _hist(symbol, pe, reported, estimate):
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return {"act_symbol": symbol, "period_end_date": pe, "reported": str(reported), "estimate": str(estimate)}
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def _importer(fake, commit=None):
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if commit:
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fake.commit = commit
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return DoltEarningsImporter(
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repo_dir="unused", binary="unused", today=TODAY, do_pull=False, dolt=fake
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)
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async def _seed_tickers(factory, symbols):
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async with factory() as s:
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for sym in symbols:
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s.add(Ticker(symbol=sym))
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await s.commit()
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async with factory() as s:
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return {sym: tid for tid, sym in (await s.execute(select(Ticker.id, Ticker.symbol))).all()}
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async def _events(factory):
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async with factory() as s:
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rows = (
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await s.execute(select(EarningsEvent).order_by(EarningsEvent.announce_date))
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).scalars().all()
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return list(rows)
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# ---------------------------------------------------------------------------
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async def test_stage_and_promote_basic(engine):
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factory = _factory(engine)
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await _seed_tickers(factory, ["AAPL"])
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fake = FakeDolt(
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calendar=[_cal("AAPL", "2026-05-01"), _cal("AAPL", "2026-08-01")],
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history=[_hist("AAPL", "2026-03-31", 1.5, 1.4)], # only the reported quarter
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)
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run = await run_import(_importer(fake), engine=engine)
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assert run.status == STATUS_PROMOTED
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assert run.source_max_date == date(2026, 8, 1)
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events = await _events(factory)
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assert len(events) == 2
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past = next(e for e in events if e.announce_date == date(2026, 5, 1))
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future = next(e for e in events if e.announce_date == date(2026, 8, 1))
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# past announcement paired to the reported quarter
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assert past.eps_actual == 1.5 and past.eps_estimate == 1.4
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assert past.period_end == date(2026, 3, 31) and past.session == "amc"
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assert past.import_run_id == run.id
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# future announcement has no results yet → null EPS/period, session kept
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assert future.eps_actual is None and future.period_end is None
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assert future.session == "amc"
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async def test_symbol_normalisation_join(engine):
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factory = _factory(engine)
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ids = await _seed_tickers(factory, ["AAPL", "BRK.B"])
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fake = FakeDolt(
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calendar=[_cal("AAPL", "2026-08-01"), _cal("BRK.B", "2026-08-05")], # dotted source symbol
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history=[],
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)
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run = await run_import(_importer(fake), engine=engine)
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assert run.status == STATUS_PROMOTED
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events = await _events(factory)
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mapped = {e.ticker_id for e in events}
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assert mapped == {ids["AAPL"], ids["BRK.B"]} # dotted BRK.B joined via normalization
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async def test_reschedule_moves_future_row(engine):
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factory = _factory(engine)
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await _seed_tickers(factory, ["AAPL"])
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fake1 = FakeDolt(calendar=[_cal("AAPL", "2026-08-01")], history=[], commit="c1")
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await run_import(_importer(fake1), engine=engine)
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fake2 = FakeDolt(calendar=[_cal("AAPL", "2026-08-08")], history=[], commit="c2") # moved
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run2 = await run_import(_importer(fake2), engine=engine)
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assert run2.status == STATUS_PROMOTED
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dates = {e.announce_date for e in await _events(factory)}
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assert dates == {date(2026, 8, 8)} # old future date gone, new one present
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async def test_cancellation_removes_future_row(engine):
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factory = _factory(engine)
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await _seed_tickers(factory, ["AAPL"])
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fake1 = FakeDolt(
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calendar=[_cal("AAPL", "2026-08-01"), _cal("AAPL", "2026-08-15")], history=[], commit="c1"
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)
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await run_import(_importer(fake1), engine=engine)
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fake2 = FakeDolt(calendar=[_cal("AAPL", "2026-08-15")], history=[], commit="c2") # 08-01 cancelled
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await run_import(_importer(fake2), engine=engine)
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dates = {e.announce_date for e in await _events(factory)}
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assert dates == {date(2026, 8, 15)}
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async def test_past_row_never_deleted(engine):
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factory = _factory(engine)
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await _seed_tickers(factory, ["AAPL"])
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fake1 = FakeDolt(
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calendar=[_cal("AAPL", "2026-05-01"), _cal("AAPL", "2026-08-01")], history=[], commit="c1"
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)
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await run_import(_importer(fake1), engine=engine)
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# Second import's calendar omits the past date but keeps a future one.
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fake2 = FakeDolt(calendar=[_cal("AAPL", "2026-08-01")], history=[], commit="c2")
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await run_import(_importer(fake2), engine=engine)
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dates = {e.announce_date for e in await _events(factory)}
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assert date(2026, 5, 1) in dates # past result survived
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assert date(2026, 8, 1) in dates
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async def test_validate_fails_when_no_future(engine):
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factory = _factory(engine)
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await _seed_tickers(factory, ["AAPL"])
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fake = FakeDolt(calendar=[_cal("AAPL", "2026-05-01")], history=[]) # only past
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run = await run_import(_importer(fake), engine=engine)
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assert run.status == STATUS_FAILED
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assert "future" in (run.error_details or "")
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assert len(await _events(factory)) == 0 # nothing promoted
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async def test_validate_fails_on_forward_collapse(engine):
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factory = _factory(engine)
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await _seed_tickers(factory, ["AAPL", "MSFT", "NVDA", "AMZN"])
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fake1 = FakeDolt(
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calendar=[
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_cal("AAPL", "2026-08-01"),
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_cal("MSFT", "2026-08-02"),
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_cal("NVDA", "2026-08-03"),
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_cal("AMZN", "2026-08-04"),
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],
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history=[],
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commit="c1",
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)
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await run_import(_importer(fake1), engine=engine)
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assert len([e for e in await _events(factory) if e.announce_date > TODAY]) == 4
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# Only one future row now → 1 < 50% of 4 → fail-closed, no destructive wipe.
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fake2 = FakeDolt(calendar=[_cal("AAPL", "2026-08-01")], history=[], commit="c2")
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run2 = await run_import(_importer(fake2), engine=engine)
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assert run2.status == STATUS_FAILED
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assert "collapsed" in (run2.error_details or "")
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assert len([e for e in await _events(factory) if e.announce_date > TODAY]) == 4 # preserved
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# --- Real-clone smoke test: exercises the actual dolt subprocess + parse + align
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# against the local clone. Skips in CI / anywhere the binary or clone is absent.
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_DOLT_BIN = os.environ.get("DOLT_BINARY") or shutil.which("dolt") or r"C:\Program Files\Dolt\bin\dolt.exe"
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_CLONE_DIR = Path("dolt-data/earnings")
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@pytest.mark.skipif(
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not (Path(_DOLT_BIN).exists() and _CLONE_DIR.exists()),
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reason="real dolt binary / earnings clone not available",
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)
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async def test_real_clone_smoke(engine):
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from app.services import dolt_client
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factory = _factory(engine)
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await _seed_tickers(factory, ["AAPL", "MSFT", "JPM"])
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imp = DoltEarningsImporter(
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repo_dir=_CLONE_DIR, binary=_DOLT_BIN, today=date.today(), do_pull=False, dolt=dolt_client
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)
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run = await run_import(imp, engine=engine)
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assert run.status == STATUS_PROMOTED
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events = await _events(factory)
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assert events, "no earnings parsed from the real clone"
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assert any(e.announce_date > date.today() for e in events), "no forward calendar"
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assert any(e.eps_actual is not None for e in events), "no calendar<->history pairing"
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