mirror of
https://github.com/deepset-ai/haystack.git
synced 2025-07-24 01:10:45 +00:00
43 lines
1.6 KiB
Python
43 lines
1.6 KiB
Python
|
from unittest.mock import MagicMock
|
||
|
|
|
||
|
|
from haystack.core.pipeline import Pipeline
|
||
|
|
from haystack.evaluation.eval import EvaluationResult
|
||
|
|
from haystack.evaluation.metrics import Metric
|
||
|
|
|
||
|
|
|
||
|
|
class TestEvaluationResult:
|
||
|
|
def test_init(self):
|
||
|
|
runnable = Pipeline()
|
||
|
|
result = EvaluationResult(runnable=runnable, inputs=[], outputs=[], expected_outputs=[])
|
||
|
|
|
||
|
|
assert result.runnable == runnable
|
||
|
|
assert result.inputs == []
|
||
|
|
assert result.outputs == []
|
||
|
|
assert result.expected_outputs == []
|
||
|
|
|
||
|
|
def test_supported_metrics_contains_all_metrics(self):
|
||
|
|
runnable = Pipeline()
|
||
|
|
result = EvaluationResult(runnable=runnable, inputs=[], outputs=[], expected_outputs=[])
|
||
|
|
|
||
|
|
supported_metrics = [m.name for m in result._supported_metrics.keys()]
|
||
|
|
all_metric_names = [m.name for m in Metric]
|
||
|
|
assert supported_metrics == all_metric_names
|
||
|
|
|
||
|
|
def test_calculate_metrics_with_supported_metric(self):
|
||
|
|
runnable = Pipeline()
|
||
|
|
result = EvaluationResult(runnable=runnable, inputs=[], outputs=[], expected_outputs=[])
|
||
|
|
result._supported_metrics[Metric.RECALL] = MagicMock()
|
||
|
|
result.calculate_metrics(metric=Metric.RECALL)
|
||
|
|
|
||
|
|
assert result._supported_metrics[Metric.RECALL].called_once_with()
|
||
|
|
|
||
|
|
def test_calculate_metrics_with_non_supported_metric(self):
|
||
|
|
runnable = Pipeline()
|
||
|
|
result = EvaluationResult(runnable=runnable, inputs=[], outputs=[], expected_outputs=[])
|
||
|
|
|
||
|
|
unsupported_metric = MagicMock()
|
||
|
|
|
||
|
|
result.calculate_metrics(metric=unsupported_metric, some_argument="some_value")
|
||
|
|
|
||
|
|
assert unsupported_metric.called_once_with(some_argument="some_value")
|