promptlooper/backend/tests/test_scorer_base.py
John Lightner 405bbf8206 MAESTRO: Implement BaseScorer abstract class with sync/async scoring interface
Adds backend/engine/scorers/base.py with abstract name property, score() method,
and score_async() default implementation. Updates scorers __init__.py to export
BaseScorer. Includes 9 tests covering instantiation guards, sync/async dispatch,
context dict usage, and partial implementation rejection.
2026-04-07 02:55:05 -05:00

112 lines
3.2 KiB
Python

"""Tests for the BaseScorer abstract class."""
import asyncio
from typing import Any
import pytest
from engine.scorers.base import BaseScorer
class ConcreteScorer(BaseScorer):
"""Minimal concrete scorer for testing."""
@property
def name(self) -> str:
return "concrete"
def score(self, input_data: Any, output: str, context: dict) -> float:
return 0.75
class AsyncOverrideScorer(BaseScorer):
"""Scorer that overrides the async variant."""
@property
def name(self) -> str:
return "async_override"
def score(self, input_data: Any, output: str, context: dict) -> float:
return 0.5
async def score_async(self, input_data: Any, output: str, context: dict) -> float:
return 0.99
class ContextAwareScorer(BaseScorer):
"""Scorer that uses context dict fields."""
@property
def name(self) -> str:
return "context_aware"
def score(self, input_data: Any, output: str, context: dict) -> float:
# Use all expected context keys
config = context.get("config", {})
stages = context.get("stages", [])
ref = context.get("input_data")
if config and stages and ref is not None:
return 1.0
return 0.0
class TestBaseScorerInterface:
def test_cannot_instantiate_abstract_class(self):
with pytest.raises(TypeError):
BaseScorer()
def test_concrete_scorer_has_name(self):
scorer = ConcreteScorer()
assert scorer.name == "concrete"
def test_concrete_scorer_returns_float(self):
scorer = ConcreteScorer()
result = scorer.score("input", "output", {})
assert isinstance(result, float)
assert result == 0.75
def test_score_async_defaults_to_sync(self):
scorer = ConcreteScorer()
result = asyncio.get_event_loop().run_until_complete(
scorer.score_async("input", "output", {})
)
assert result == 0.75
def test_score_async_override(self):
scorer = AsyncOverrideScorer()
sync_result = scorer.score("input", "output", {})
async_result = asyncio.get_event_loop().run_until_complete(
scorer.score_async("input", "output", {})
)
assert sync_result == 0.5
assert async_result == 0.99
def test_context_dict_keys(self):
scorer = ContextAwareScorer()
context = {
"config": {"model": "gpt-4"},
"stages": [{"output": "stage1 output"}],
"input_data": "some input",
}
result = scorer.score("some input", "output", context)
assert result == 1.0
def test_context_dict_missing_keys(self):
scorer = ContextAwareScorer()
result = scorer.score("input", "output", {})
assert result == 0.0
def test_isinstance_check(self):
scorer = ConcreteScorer()
assert isinstance(scorer, BaseScorer)
def test_partial_implementation_raises(self):
"""A class that only implements name but not score cannot be instantiated."""
class PartialScorer(BaseScorer):
@property
def name(self) -> str:
return "partial"
with pytest.raises(TypeError):
PartialScorer()