96 lines
3.9 KiB
Python
96 lines
3.9 KiB
Python
import importlib.util
|
|
import json
|
|
import tempfile
|
|
import unittest
|
|
from pathlib import Path
|
|
|
|
MODULE_PATH = Path(__file__).resolve().parents[1] / "tradingagents" / "agents" / "utils" / "factor_rules.py"
|
|
SPEC = importlib.util.spec_from_file_location("factor_rules", MODULE_PATH)
|
|
factor_rules = importlib.util.module_from_spec(SPEC)
|
|
SPEC.loader.exec_module(factor_rules)
|
|
|
|
_candidate_rule_paths = factor_rules._candidate_rule_paths
|
|
load_factor_rules = factor_rules.load_factor_rules
|
|
summarize_factor_rules = factor_rules.summarize_factor_rules
|
|
|
|
|
|
class FactorRulesPathTests(unittest.TestCase):
|
|
def test_candidate_paths_are_deduplicated(self):
|
|
with tempfile.TemporaryDirectory() as tmpdir:
|
|
project_dir = Path(tmpdir)
|
|
examples_dir = project_dir / "examples"
|
|
examples_dir.mkdir()
|
|
rule_path = examples_dir / "factor_rules.json"
|
|
rule_path.write_text(json.dumps({"rules": []}), encoding="utf-8")
|
|
|
|
config = {
|
|
"project_dir": str(project_dir),
|
|
"factor_rules_path": str(rule_path),
|
|
}
|
|
|
|
original_env = factor_rules.os.environ.get("TRADINGAGENTS_FACTOR_RULES_PATH")
|
|
factor_rules.os.environ["TRADINGAGENTS_FACTOR_RULES_PATH"] = str(rule_path)
|
|
try:
|
|
paths = _candidate_rule_paths(config)
|
|
finally:
|
|
if original_env is None:
|
|
factor_rules.os.environ.pop("TRADINGAGENTS_FACTOR_RULES_PATH", None)
|
|
else:
|
|
factor_rules.os.environ["TRADINGAGENTS_FACTOR_RULES_PATH"] = original_env
|
|
|
|
self.assertEqual(paths.count(rule_path.resolve()), 1)
|
|
|
|
def test_load_factor_rules_accepts_rules_object(self):
|
|
with tempfile.TemporaryDirectory() as tmpdir:
|
|
project_dir = Path(tmpdir)
|
|
examples_dir = project_dir / "examples"
|
|
examples_dir.mkdir()
|
|
rule_path = examples_dir / "factor_rules.json"
|
|
payload = {"rules": [{"name": "Value", "signal": "bullish"}]}
|
|
rule_path.write_text(json.dumps(payload), encoding="utf-8")
|
|
|
|
rules, loaded_path = load_factor_rules({"project_dir": str(project_dir)})
|
|
self.assertEqual(rules, payload["rules"])
|
|
self.assertEqual(Path(loaded_path), rule_path.resolve())
|
|
|
|
def test_outside_project_rule_path_is_rejected(self):
|
|
with tempfile.TemporaryDirectory() as project_tmp, tempfile.TemporaryDirectory() as outside_tmp:
|
|
project_dir = Path(project_tmp)
|
|
outside_path = Path(outside_tmp) / "factor_rules.json"
|
|
outside_path.write_text(json.dumps({"rules": [{"name": "Outside"}]}), encoding="utf-8")
|
|
|
|
rules, loaded_path = load_factor_rules(
|
|
{
|
|
"project_dir": str(project_dir),
|
|
"factor_rules_path": str(outside_path),
|
|
}
|
|
)
|
|
|
|
self.assertEqual(rules, [])
|
|
self.assertIsNone(loaded_path)
|
|
|
|
def test_summarize_factor_rules_counts_biases(self):
|
|
summary = summarize_factor_rules(
|
|
[
|
|
{"name": "Value", "signal": "bullish", "weight": "high"},
|
|
{"name": "Momentum", "signal": "bearish", "weight": "medium"},
|
|
{"name": "Quality", "signal": "neutral", "weight": "low"},
|
|
],
|
|
ticker="AAPL",
|
|
trade_date="2026-03-07",
|
|
)
|
|
|
|
self.assertIn("Loaded 3 manually curated factor rules.", summary)
|
|
self.assertIn("- Bullish leaning rules: 1", summary)
|
|
self.assertIn("- Bearish leaning rules: 1", summary)
|
|
self.assertIn("- Neutral / mixed rules: 1", summary)
|
|
|
|
def test_summarize_factor_rules_empty_list_warns_against_fabrication(self):
|
|
summary = summarize_factor_rules([], ticker="MSFT", trade_date="2026-03-07")
|
|
self.assertIn("No factor rules were loaded", summary)
|
|
self.assertIn("do not fabricate rule-based signals", summary)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|