mirror of
https://github.com/NicolasBohn/NexQuant.git
synced 2026-07-27 15:37:44 +00:00
TPTBusiness
cbe1c52e00
Rename all source files, scripts, tests, documentation, and configuration from Predix/predix to NexQuant/nexquant across the entire codebase.
222 lines
8.8 KiB
Python
222 lines
8.8 KiB
Python
"""Tests for bugs found in the factor evaluation pipeline."""
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import sys
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from pathlib import Path
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from unittest.mock import MagicMock, patch
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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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# Project root
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PROJECT_ROOT = Path(__file__).parent.parent.parent
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sys.path.insert(0, str(PROJECT_ROOT))
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# =============================================================================
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# Bug 1: Missing `import sys` in _save_factor_values (factor_runner.py:968)
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# =============================================================================
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class TestSaveFactorValuesMissingSysImport:
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"""Verify that _save_factor_values has `import sys` — uses sys.executable at line 968."""
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def test_save_factor_values_has_sys_import(self):
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import inspect
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from rdagent.scenarios.qlib.developer.factor_runner import QlibFactorRunner
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source = inspect.getsource(QlibFactorRunner._save_factor_values)
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assert "import sys" in source, (
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"BUG: _save_factor_values calls sys.executable but does not import sys. "
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"This causes a NameError at runtime, silently swallowed by the try/except."
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)
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def test_save_factor_values_nameerror_when_called(self):
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"""Simulate calling _save_factor_values without sys available."""
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from rdagent.scenarios.qlib.developer.factor_runner import QlibFactorRunner
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runner = QlibFactorRunner.__new__(QlibFactorRunner)
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mock_exp = MagicMock()
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mock_exp.sub_workspace_list = []
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mock_exp.experiment_workspace.workspace_path = None
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# This should NOT raise NameError for 'sys' — if it does, the bug is present
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try:
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runner._save_factor_values("TestFactor", mock_exp)
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except NameError as e:
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if "sys" in str(e):
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pytest.fail(
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"BUG CONFIRMED: _save_factor_values raises NameError because "
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"'sys' is not imported. The factor values parquet is never saved."
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)
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raise
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# =============================================================================
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# Bug 2: `acc_rate` undefined in FactorEqualValueRatioEvaluator (eva_utils.py:335-346)
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# =============================================================================
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class TestEqualValueRatioAccRateUndefined:
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"""Verify FactorEqualValueRatioEvaluator handles shape-mismatch correctly."""
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def test_acc_rate_undefined_after_except(self):
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"""If gen_df.sub(gt_df) raises, acc_rate should still be defined (default -1)."""
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from rdagent.components.coder.factor_coder.eva_utils import FactorEqualValueRatioEvaluator
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evaluator = FactorEqualValueRatioEvaluator()
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# Simulate the case where _get_df returns None for gt_df, which causes
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# gen_df.sub(None) to raise AttributeError. The except clause must not
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# reference an undefined acc_rate variable.
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gen_df = pd.DataFrame({"x": [1.0, 2.0, 3.0]}, index=[0, 1, 2])
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gt_ws = MagicMock()
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imp_ws = MagicMock()
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gt_ws.execute.return_value = ("", None) # _get_df will set gt_df = None
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imp_ws.execute.return_value = ("", gen_df)
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# Should NOT raise NameError
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try:
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result = evaluator.evaluate(imp_ws, gt_ws)
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assert isinstance(result, tuple)
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assert len(result) == 2
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feedback, metric = result
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assert metric == -1, f"Expected -1 (fallback), got {metric}"
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except NameError as e:
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if "acc_rate" in str(e):
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pytest.fail(
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"BUG CONFIRMED: FactorEqualValueRatioEvaluator references 'acc_rate' "
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"which is undefined when gen_df.sub(gt_df) raises an exception."
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)
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raise
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def test_acc_rate_defined_when_shapes_match(self):
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"""Normal case: same shapes — acc_rate should be defined and returned."""
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from rdagent.components.coder.factor_coder.eva_utils import FactorEqualValueRatioEvaluator
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evaluator = FactorEqualValueRatioEvaluator()
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gt_ws = MagicMock()
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imp_ws = MagicMock()
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gen_df = pd.DataFrame({"x": [1.0, 2.0, 3.0]}, index=[0, 1, 2])
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gt_df = pd.DataFrame({"y": [1.0, 2.0, 3.0]}, index=[0, 1, 2])
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gt_ws.execute.return_value = ("", gt_df)
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imp_ws.execute.return_value = ("", gen_df)
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result = evaluator.evaluate(imp_ws, gt_ws)
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assert isinstance(result, tuple)
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assert len(result) == 2
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feedback, metric = result
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# When values match within tolerance, metric should be a float near 1.0
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assert isinstance(metric, float) or isinstance(metric, (int, np.integer))
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assert metric >= 0
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# =============================================================================
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# Bug 3: Annualization factor hardcoded in _evaluate_factor_directly (factor_runner.py:553)
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# =============================================================================
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class TestAnnualizationFactorInDirectEval:
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def test_uses_bars_per_year_strategy_ret(self):
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import inspect
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from rdagent.scenarios.qlib.developer.factor_runner import QlibFactorRunner
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source = inspect.getsource(QlibFactorRunner._evaluate_factor_directly)
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assert "bars_per_year" in source
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assert "strategy_ret" in source
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def test_signal_based_on_factor_sign(self):
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import inspect
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from rdagent.scenarios.qlib.developer.factor_runner import QlibFactorRunner
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source = inspect.getsource(QlibFactorRunner._evaluate_factor_directly)
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assert "np.where" in source
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assert "signal" in source
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# =============================================================================
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# Bug 4: _fix_inf_nan_handling inserts code before .dropna() or .to_hdf() in wrong context
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# =============================================================================
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class TestInfNanHandlingInsertion:
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"""Verify inf/nan auto-fixer doesn't insert code in the wrong context."""
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def test_no_insertion_before_dropna_when_no_column_found(self):
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from rdagent.components.coder.factor_coder.auto_fixer import FactorAutoFixer
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fixer = FactorAutoFixer()
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# Code where the LAST assignment before .dropna() is NOT a df['col'] = pattern
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# but dropna() still exists (e.g., on a temporary variable)
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code = (
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"def calc():\n"
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" df = pd.read_hdf('data.h5', key='data')\n"
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" temp = df['$close'].diff()\n"
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" temp = temp.dropna()\n"
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" df['result'] = temp * 2\n"
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" result = df[['result']]\n"
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)
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result = fixer.fix(code)
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# The code should still be valid (no syntax error from misplaced insertion)
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import ast
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try:
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ast.parse(result)
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except SyntaxError as e:
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pytest.fail(f"Auto-fixer produced invalid Python code: {e}")
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def test_inf_handling_inserted_before_result_assignment(self):
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from rdagent.components.coder.factor_coder.auto_fixer import FactorAutoFixer
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fixer = FactorAutoFixer()
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code = (
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"def calc():\n"
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" df = pd.read_hdf('data.h5', key='data')\n"
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" df['myfactor'] = df['$close'] / df['sigma_60bar']\n"
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" df['myfactor'] = df['myfactor'] / df['sigma_5bar']\n"
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" result = df[['myfactor']]\n"
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)
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result = fixer.fix(code)
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# Should have added inf handling before the result = df[[...]] line
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# but not broken syntax
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import ast
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try:
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ast.parse(result)
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except SyntaxError as e:
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pytest.fail(f"Auto-fixer produced invalid Python code: {e}")
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assert "replace([np.inf, -np.inf]" in result
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# =============================================================================
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# Bug 5: scan_factors reads factor_code twice (nexquant_full_eval.py:174 + 195)
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# =============================================================================
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class TestScanFactorsDoubleRead:
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"""Verify scan_factors doesn't wastefully read factor file twice."""
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def test_factor_code_read_only_when_needed(self):
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"""Confirm the scan_factors double-read behavior (line 174+195)."""
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import inspect
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from scripts import nexquant_full_eval
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source = inspect.getsource(nexquant_full_eval.scan_factors)
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# Count occurrences of `.read_text()`
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count = source.count(".read_text()")
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# Expected: at least 2 (line 174 in fallback, line 195 in FactorInfo)
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# Bug: if factor_name comes from result.h5 (line 168-170), then line 174
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# is skipped, but line 195 always reads again — that's one wasted read.
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assert count == 2, (
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f"scan_factors has {count} read_text() calls. "
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"Expected exactly 2 (one for name extraction, one for FactorInfo). "
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"Consider caching to avoid double reads."
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)
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