fix: add safe type casting and missing-key warnings in ScenarioEngine
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Addresses PR #102 review findings: - _safe_float() prevents TypeError from str/Decimal/invalid market_data values - Warning logs when condition references a key missing from market_data - 5 new tests: string, percent string, Decimal, mixed invalid types, log check Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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@@ -38,8 +38,21 @@ class ScenarioEngine:
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"""Evaluates playbook scenarios against real-time market data.
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No API calls — pure Python condition matching.
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Expected market_data keys: "rsi", "volume_ratio", "current_price", "price_change_pct".
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Callers must normalize data source keys to match this contract.
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"""
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@staticmethod
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def _safe_float(value: Any) -> float | None:
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"""Safely cast a value to float. Returns None on failure."""
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if value is None:
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return None
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try:
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return float(value)
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except (ValueError, TypeError):
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return None
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def evaluate(
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self,
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playbook: DayPlaybook,
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@@ -148,25 +161,37 @@ class ScenarioEngine:
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checks: list[bool] = []
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rsi = market_data.get("rsi")
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rsi = self._safe_float(market_data.get("rsi"))
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if condition.rsi_below is not None or condition.rsi_above is not None:
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if "rsi" not in market_data:
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logger.warning("Condition requires 'rsi' but key missing from market_data")
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if condition.rsi_below is not None:
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checks.append(rsi is not None and rsi < condition.rsi_below)
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if condition.rsi_above is not None:
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checks.append(rsi is not None and rsi > condition.rsi_above)
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volume_ratio = market_data.get("volume_ratio")
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volume_ratio = self._safe_float(market_data.get("volume_ratio"))
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if condition.volume_ratio_above is not None or condition.volume_ratio_below is not None:
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if "volume_ratio" not in market_data:
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logger.warning("Condition requires 'volume_ratio' but key missing from market_data")
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if condition.volume_ratio_above is not None:
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checks.append(volume_ratio is not None and volume_ratio > condition.volume_ratio_above)
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if condition.volume_ratio_below is not None:
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checks.append(volume_ratio is not None and volume_ratio < condition.volume_ratio_below)
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price = market_data.get("current_price")
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price = self._safe_float(market_data.get("current_price"))
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if condition.price_above is not None or condition.price_below is not None:
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if "current_price" not in market_data:
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logger.warning("Condition requires 'current_price' but key missing from market_data")
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if condition.price_above is not None:
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checks.append(price is not None and price > condition.price_above)
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if condition.price_below is not None:
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checks.append(price is not None and price < condition.price_below)
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price_change_pct = market_data.get("price_change_pct")
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price_change_pct = self._safe_float(market_data.get("price_change_pct"))
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if condition.price_change_pct_above is not None or condition.price_change_pct_below is not None:
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if "price_change_pct" not in market_data:
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logger.warning("Condition requires 'price_change_pct' but key missing from market_data")
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if condition.price_change_pct_above is not None:
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checks.append(price_change_pct is not None and price_change_pct > condition.price_change_pct_above)
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if condition.price_change_pct_below is not None:
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@@ -139,6 +139,50 @@ class TestEvaluateCondition:
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cond = StockCondition(rsi_above=70.0)
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assert not engine.evaluate_condition(cond, {"rsi": 70.0})
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def test_string_value_no_exception(self, engine: ScenarioEngine) -> None:
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"""String numeric value should not raise TypeError."""
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cond = StockCondition(rsi_below=30.0)
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# "25" can be cast to float → should match
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assert engine.evaluate_condition(cond, {"rsi": "25"})
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# "35" → should not match
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assert not engine.evaluate_condition(cond, {"rsi": "35"})
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def test_percent_string_returns_false(self, engine: ScenarioEngine) -> None:
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"""Percent string like '30%' cannot be cast to float → False, no exception."""
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cond = StockCondition(rsi_below=30.0)
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assert not engine.evaluate_condition(cond, {"rsi": "30%"})
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def test_decimal_value_no_exception(self, engine: ScenarioEngine) -> None:
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"""Decimal values should be safely handled."""
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from decimal import Decimal
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cond = StockCondition(rsi_below=30.0)
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assert engine.evaluate_condition(cond, {"rsi": Decimal("25.0")})
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def test_mixed_invalid_types_no_exception(self, engine: ScenarioEngine) -> None:
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"""Various invalid types should not raise exceptions."""
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cond = StockCondition(
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rsi_below=30.0, volume_ratio_above=2.0,
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price_above=100, price_change_pct_below=-1.0,
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)
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data = {
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"rsi": [25], # list
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"volume_ratio": "bad", # non-numeric string
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"current_price": {}, # dict
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"price_change_pct": object(), # arbitrary object
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}
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# Should return False (invalid types → None → False), never raise
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assert not engine.evaluate_condition(cond, data)
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def test_missing_key_logs_warning(self, engine: ScenarioEngine, caplog) -> None:
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"""Missing market_data key should log a warning."""
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import logging
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cond = StockCondition(rsi_below=30.0)
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with caplog.at_level(logging.WARNING):
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engine.evaluate_condition(cond, {})
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assert "key missing from market_data" in caplog.text
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# ---------------------------------------------------------------------------
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# check_global_rules
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