generated from mathias/template-go-web
- prepare_hourly.py: parameterize PAIR env var; OUT_DEFAULT per-pair; load_m1_from_zips(pair=)
- prepare_multipair.py: inner-join 5-pair hourly parquets on datetime → wide parquet
cols: datetime, {pair}_ret, {pair}_rv × n_pairs; eurusd_rv = target
- fetch_multipair.py: download GBPUSD/USDJPY/USDCHF/AUDUSD M1 2008-2023 from histdata
- train.py: USE_MULTIPAIR knob (JEPA_USE_MULTIPAIR=1); build() reads multipair parquet
with n_channels = n_pairs × 2; target = eurusd_rv
- Taskfile: data:fetch:multipair, data:prepare:pair, data:prepare:multipair, data:test updated
- 7 new tests in test_multipair.py; 34/35 pass (1 SKIP until multipair parquet built)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
127 lines
4.8 KiB
Python
127 lines
4.8 KiB
Python
"""Tests for multi-pair G10 pipeline (Option C).
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Tests the prepare_multipair.py merge logic and train.py multipair build().
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Run: cd ~/dev/AI/jepa-fx-risk && .venv/bin/python -m pytest tests/test_multipair.py -v
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"""
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import importlib.util
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import numpy as np
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import pandas as pd
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import pytest
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import os
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def _import_mp():
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spec = importlib.util.spec_from_file_location("prepare_multipair", "scripts/prepare_multipair.py")
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mod = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(mod)
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return mod
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@pytest.fixture(scope="module")
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def mp():
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return _import_mp()
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def _pair_df(start: str, n_hours: int, seed: int) -> pd.DataFrame:
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"""Synthetic single-pair hourly parquet (same schema as prepare_hourly output)."""
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rng = np.random.default_rng(seed)
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dts = pd.date_range(start, periods=n_hours, freq="h")
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closes = 1.1 + np.cumsum(rng.normal(0, 0.001, n_hours))
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return pd.DataFrame({
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"datetime": dts,
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"close": closes,
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"ret": rng.normal(0, 0.001, n_hours),
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"realized_vol": np.abs(rng.normal(0.0005, 0.0001, n_hours)),
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})
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# 1. merge_pair_parquets returns inner join on datetime
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def test_merge_inner_join(mp):
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eur = _pair_df("2020-01-01 00:00", 100, seed=1) # t0 to t0+99h
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gbp = _pair_df("2020-01-01 20:00", 60, seed=2) # t0+20 to t0+79h → 60 common
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result = mp.merge_pair_parquets({"eurusd": eur, "gbpusd": gbp})
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assert len(result) == 60, f"expected 60 (inner join), got {len(result)}"
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# 2. merge_pair_parquets prefixes columns with pair name
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def test_merge_column_prefixes(mp):
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eur = _pair_df("2020-01-01 00:00", 50, seed=1)
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gbp = _pair_df("2020-01-01 00:00", 50, seed=2)
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result = mp.merge_pair_parquets({"eurusd": eur, "gbpusd": gbp})
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assert "datetime" in result.columns, "datetime column missing"
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assert "eurusd_ret" in result.columns
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assert "eurusd_rv" in result.columns
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assert "gbpusd_ret" in result.columns
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assert "gbpusd_rv" in result.columns
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# raw pair columns should not leak through unprefixed
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assert "ret" not in result.columns
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assert "realized_vol" not in result.columns
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# 3. No NaN in merged output
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def test_merge_no_nan(mp):
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eur = _pair_df("2020-01-01 00:00", 50, seed=1)
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gbp = _pair_df("2020-01-01 00:00", 50, seed=2)
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result = mp.merge_pair_parquets({"eurusd": eur, "gbpusd": gbp})
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nan_count = result.isnull().sum().sum()
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assert nan_count == 0, f"{nan_count} NaN values in merged output"
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# 4. PAIRS constant is a non-empty list starting with eurusd
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def test_pairs_constant(mp):
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assert hasattr(mp, "PAIRS"), "PAIRS constant missing from prepare_multipair.py"
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assert len(mp.PAIRS) >= 2, "PAIRS must have at least 2 pairs"
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assert mp.PAIRS[0] == "eurusd", "first pair must be eurusd (target pair)"
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# 5. merge target column is eurusd_rv (for build() target selection)
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def test_merge_has_eurusd_rv_as_target(mp):
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eur = _pair_df("2020-01-01 00:00", 50, seed=1)
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gbp = _pair_df("2020-01-01 00:00", 50, seed=2)
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result = mp.merge_pair_parquets({"eurusd": eur, "gbpusd": gbp})
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assert "eurusd_rv" in result.columns, "eurusd_rv (target) missing from merged output"
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assert (result["eurusd_rv"] > 0).all(), "eurusd_rv should be positive"
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# 6. train.py recognises JEPA_USE_MULTIPAIR env var
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def test_use_multipair_knob():
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import importlib.util as ilu
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spec = ilu.spec_from_file_location(f"train_mp_{id(None)}", "train.py")
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mod = ilu.module_from_spec(spec)
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saved = os.environ.get("JEPA_USE_MULTIPAIR")
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os.environ["JEPA_USE_MULTIPAIR"] = "1"
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try:
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spec.loader.exec_module(mod)
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finally:
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if saved is None:
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os.environ.pop("JEPA_USE_MULTIPAIR", None)
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else:
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os.environ["JEPA_USE_MULTIPAIR"] = saved
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assert hasattr(mod, "USE_MULTIPAIR"), "USE_MULTIPAIR knob missing from train.py"
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assert mod.USE_MULTIPAIR is True
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# 7. build() uses n_pairs*2 channels when multipair parquet present
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def test_build_uses_multipair_channels():
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import importlib.util as ilu
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multipair_path = "data/processed/eurusd_multipair.parquet"
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if not os.path.exists(multipair_path):
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pytest.skip("eurusd_multipair.parquet not present — run data:prepare:multipair first")
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saved = os.environ.get("JEPA_USE_MULTIPAIR")
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os.environ["JEPA_USE_MULTIPAIR"] = "1"
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try:
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spec = ilu.spec_from_file_location(f"train_mp2_{id(None)}", "train.py")
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mod = ilu.module_from_spec(spec)
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spec.loader.exec_module(mod)
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(Xtr, _), _ = mod.build()
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finally:
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if saved is None:
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os.environ.pop("JEPA_USE_MULTIPAIR", None)
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else:
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os.environ["JEPA_USE_MULTIPAIR"] = saved
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mp = _import_mp()
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expected_ch = len(mp.PAIRS) * 2
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assert Xtr.shape[2] == expected_ch, (
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f"expected {expected_ch} channels (n_pairs={len(mp.PAIRS)}×2), got {Xtr.shape[2]}"
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)
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