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"""Unit tests for libs/backtest/snapshot_store.py."""
from __future__ import annotations
import datetime as dt
import asyncio
import json
from pathlib import Path
from types import SimpleNamespace
import pyarrow as pa
import pyarrow.parquet as pq
import pytest
def _build_store_from_fixture(tmp_path: Path) -> object:
"""Build a SnapshotStore directly from test data (no DB/HTTP)."""
from libs.backtest.snapshot_store import SnapshotStore
candidates = {
dt.date(2026, 1, 6): [
{
"event_id": "EVT::TEST::001",
"symbol": "AAPL",
"execution_date": dt.date(2026, 1, 6),
"entry_date": "2026-01-06",
"entry_price": 150.0,
"score": 0.8,
"sector": "Technology",
"event_type": "earnings",
"event_timestamp": "2026-01-05T21:00:00+00:00",
"filing_time_bucket": "post_market",
"reaction_date": "2026-01-05",
"avg_dollar_volume": 5_000_000.0,
"atr_14": 3.0,
}
],
dt.date(2026, 1, 7): [
{
"event_id": "EVT::TEST::002",
"symbol": "MSFT",
"execution_date": dt.date(2026, 1, 7),
"entry_date": "2026-01-07",
"entry_price": 300.0,
"score": 0.6,
"sector": "Technology",
"event_type": "guidance",
"event_timestamp": "2026-01-06T20:00:00+00:00",
"filing_time_bucket": "post_market",
"reaction_date": "2026-01-06",
"avg_dollar_volume": 10_000_000.0,
"atr_14": 5.0,
}
],
}
bars = {
"AAPL": {
dt.date(2026, 1, 6): {"date": dt.date(2026, 1, 6), "open": 150.0, "high": 155.0, "low": 148.0, "close": 152.0, "volume": 1_000_000},
dt.date(2026, 1, 7): {"date": dt.date(2026, 1, 7), "open": 152.0, "high": 162.0, "low": 150.0, "close": 159.0, "volume": 900_000},
},
"MSFT": {
dt.date(2026, 1, 7): {"date": dt.date(2026, 1, 7), "open": 300.0, "high": 310.0, "low": 295.0, "close": 305.0, "volume": 500_000},
},
}
return SnapshotStore(
candidates_by_exec_date=candidates,
bars_by_symbol_date=bars,
)
class TestSnapshotStoreQuery:
def test_get_candidates_for_date(self, tmp_path):
store = _build_store_from_fixture(tmp_path)
rows = store.get_candidates_for_date(dt.date(2026, 1, 6))
assert len(rows) == 1
assert rows[0]["symbol"] == "AAPL"
def test_get_candidates_empty_date(self, tmp_path):
store = _build_store_from_fixture(tmp_path)
rows = store.get_candidates_for_date(dt.date(2026, 1, 1))
assert rows == []
def test_get_candidates_for_reaction_date(self, tmp_path):
store = _build_store_from_fixture(tmp_path)
rows = store.get_candidates_for_reaction_date(dt.date(2026, 1, 5))
assert len(rows) == 1
assert rows[0]["symbol"] == "AAPL"
def test_no_lookahead(self, tmp_path):
"""Candidates for Jan 7 should NOT appear when querying Jan 6."""
store = _build_store_from_fixture(tmp_path)
rows = store.get_candidates_for_date(dt.date(2026, 1, 6))
symbols = [r["symbol"] for r in rows]
assert "MSFT" not in symbols
def test_get_bar_exists(self, tmp_path):
store = _build_store_from_fixture(tmp_path)
bar = store.get_bar("AAPL", dt.date(2026, 1, 6))
assert bar is not None
assert bar["open"] == 150.0
assert bar["close"] == 152.0
def test_get_bar_missing_returns_none(self, tmp_path):
store = _build_store_from_fixture(tmp_path)
bar = store.get_bar("AAPL", dt.date(2025, 12, 31))
assert bar is None
def test_get_bar_unknown_symbol_returns_none(self, tmp_path):
store = _build_store_from_fixture(tmp_path)
assert store.get_bar("UNKNOWN", dt.date(2026, 1, 6)) is None
def test_all_execution_dates_sorted(self, tmp_path):
store = _build_store_from_fixture(tmp_path)
dates = store.all_execution_dates()
assert dates == sorted(dates)
assert dt.date(2026, 1, 6) in dates
assert dt.date(2026, 1, 7) in dates
def test_all_reaction_dates_sorted(self, tmp_path):
store = _build_store_from_fixture(tmp_path)
dates = store.all_reaction_dates()
assert dates == [dt.date(2026, 1, 5), dt.date(2026, 1, 6)]
def test_macro_default_empty(self, tmp_path):
store = _build_store_from_fixture(tmp_path)
macro = store.get_macro_for_date(dt.date(2026, 1, 6))
assert macro == {}
def test_candidates_copy_returned(self, tmp_path):
"""Modifying returned list should not affect internal state."""
store = _build_store_from_fixture(tmp_path)
rows1 = store.get_candidates_for_date(dt.date(2026, 1, 6))
rows1.append({"extra": "data"})
rows2 = store.get_candidates_for_date(dt.date(2026, 1, 6))
assert len(rows2) == 1 # unchanged
def test_slice_by_date_range_filters_execution_and_reaction_dates(self, tmp_path):
store = _build_store_from_fixture(tmp_path)
sliced = store.slice_by_date_range(dt.date(2026, 1, 7), dt.date(2026, 1, 7))
assert sliced.all_execution_dates() == [dt.date(2026, 1, 7)]
assert sliced.get_candidates_for_date(dt.date(2026, 1, 7))[0]["symbol"] == "MSFT"
assert sliced.get_candidates_for_reaction_date(dt.date(2026, 1, 5)) == []
assert sliced.get_candidates_for_reaction_date(dt.date(2026, 1, 6)) == []
def test_slice_by_date_range_trims_macro(self, tmp_path):
from libs.backtest.snapshot_store import SnapshotStore
store = SnapshotStore(
candidates_by_exec_date={
dt.date(2026, 1, 6): [{"event_id": "E1", "symbol": "AAPL", "reaction_date": "2026-01-05"}],
dt.date(2026, 1, 7): [{"event_id": "E2", "symbol": "MSFT", "reaction_date": "2026-01-06"}],
},
bars_by_symbol_date={},
macro_by_date={
dt.date(2026, 1, 6): {"spy_close": 100.0},
dt.date(2026, 1, 7): {"spy_close": 101.0},
},
)
sliced = store.slice_by_date_range(dt.date(2026, 1, 7), dt.date(2026, 1, 7))
assert sliced.get_macro_for_date(dt.date(2026, 1, 6)) == {}
assert sliced.get_macro_for_date(dt.date(2026, 1, 7)) == {"spy_close": 101.0}
class TestSnapshotStoreLoadGuard:
def test_raises_in_running_event_loop(self, tmp_path):
"""load() should raise RuntimeError if called from a running event loop."""
import asyncio
from libs.backtest.snapshot_store import SnapshotStore
async def _test():
with pytest.raises(RuntimeError, match="running event loop"):
SnapshotStore.load(tmp_path, "train", "http://localhost", "postgres://")
asyncio.run(_test())
class TestSnapshotStoreFromParquet:
def test_compute_date_range(self, tmp_path):
from libs.backtest.snapshot_store import SnapshotStore
rows = [
{"entry_date": "2026-01-05"},
{"entry_date": "2026-01-10"},
{"entry_date": "2026-01-07"},
{"reaction_date": "2026-01-04"},
]
result = SnapshotStore._compute_date_range(rows)
assert result == (dt.date(2026, 1, 4), dt.date(2026, 1, 10))
def test_compute_date_range_empty(self, tmp_path):
from libs.backtest.snapshot_store import SnapshotStore
assert SnapshotStore._compute_date_range([]) is None
def test_async_load_falls_back_to_parquet_metadata_when_db_unavailable(self, tmp_path, monkeypatch):
from libs.backtest.snapshot_store import SnapshotStore
parquet_path = tmp_path / "train.parquet"
table = pa.table({
"event_id": ["EVT::ROW::001"],
"ticker": ["AAPL"],
"event_date": ["2026-01-05"],
"event_type": ["earnings_release"],
"reaction_date": ["2026-01-05"],
"entry_date": ["2026-01-06"],
"event_close": [150.0],
"entry_price": [151.0],
"atr_14": [3.0],
})
pq.write_table(table, parquet_path)
async def _fake_event_meta(*args, **kwargs):
return {}
async def _fake_price_data(*args, **kwargs):
return (
{
"AAPL": {
dt.date(2026, 1, 5): {
"date": dt.date(2026, 1, 5),
"open": 149.0,
"high": 153.0,
"low": 148.0,
"close": 150.0,
"volume": 1_000_000,
},
dt.date(2026, 1, 6): {
"date": dt.date(2026, 1, 6),
"open": 151.0,
"high": 156.0,
"low": 150.0,
"close": 155.0,
"volume": 900_000,
},
}
},
{"AAPL": 125_000_000.0},
)
async def _fake_sectors(*args, **kwargs):
return {"AAPL": "Technology"}
async def _fake_macro(*args, **kwargs):
return {}
monkeypatch.setattr(SnapshotStore, "_fetch_event_metadata", staticmethod(_fake_event_meta))
monkeypatch.setattr(SnapshotStore, "_fetch_price_data", staticmethod(_fake_price_data))
monkeypatch.setattr(SnapshotStore, "_fetch_sectors", staticmethod(_fake_sectors))
monkeypatch.setattr(SnapshotStore, "_fetch_macro", staticmethod(_fake_macro))
monkeypatch.setattr(SnapshotStore, "_fetch_spy_macro", staticmethod(_fake_macro))
data = asyncio.run(
SnapshotStore._async_load(
tmp_path,
"train",
oracle_url="http://localhost:18001",
db_dsn="postgresql+asyncpg://unused",
scoring_fn=lambda row: 0.77,
)
)
store = SnapshotStore(**data)
rows = store.get_candidates_for_date(dt.date(2026, 1, 6))
assert len(rows) == 1
assert rows[0]["symbol"] == "AAPL"
assert rows[0]["event_type"] == "earnings_release"
assert rows[0]["event_date"] == dt.date(2026, 1, 5)
assert rows[0]["score"] == pytest.approx(0.77)
assert rows[0]["event_timestamp"] is not None
class TestSnapshotStoreSectorFetch:
def test_fetch_sectors_falls_back_from_placeholder_oracle(self, tmp_path, monkeypatch):
import libs.oracle_client as oracle_mod
from libs.backtest.snapshot_store import SnapshotStore
class FakeOracleClient:
def __init__(self, base_url: str) -> None:
self.base_url = base_url
async def __aenter__(self):
return self
async def __aexit__(self, *args):
return None
class FakeCompanyService:
def __init__(self, client) -> None:
self.client = client
async def get_company(self, symbol: str):
if symbol == "BAX":
return SimpleNamespace(
sector="Technology",
industry="Software",
exchange=None,
market_cap=None,
)
return SimpleNamespace(
sector="Utilities",
industry="Utilities - Regulated Water",
exchange="NYSE",
market_cap=123.0,
)
monkeypatch.setattr(oracle_mod, "OracleClient", FakeOracleClient)
monkeypatch.setattr(oracle_mod, "CompanyService", FakeCompanyService)
monkeypatch.setattr(
SnapshotStore,
"_sector_cache_path",
staticmethod(lambda: tmp_path / "sector_cache.json"),
)
monkeypatch.setattr(
SnapshotStore,
"_fetch_sector_from_yfinance",
staticmethod(lambda symbol: "Healthcare" if symbol == "BAX" else "UNKNOWN"),
)
result = asyncio.run(
SnapshotStore._fetch_sectors(["BAX", "AWK"], oracle_url="http://unused")
)
assert result == {"BAX": "Healthcare", "AWK": "Utilities"}
cache = json.loads((tmp_path / "sector_cache.json").read_text())
assert cache["BAX"] == "Healthcare"
assert cache["AWK"] == "Utilities"