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fix(eap): Remove static sample count thresholds #6892

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Feb 19, 2025
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29 changes: 2 additions & 27 deletions snuba/web/rpc/v1/resolvers/common/aggregation.py
Original file line number Diff line number Diff line change
Expand Up @@ -138,12 +138,7 @@ def reliability(self) -> Reliability.ValueType:
if self.value != 0
else float("inf")
)
is_reliable = calculate_reliability(
relative_confidence,
self.sample_count,
CONFIDENCE_INTERVAL_THRESHOLD,
)
if is_reliable:
if relative_confidence <= CONFIDENCE_INTERVAL_THRESHOLD:
return Reliability.RELIABILITY_HIGH
return Reliability.RELIABILITY_LOW

Expand Down Expand Up @@ -174,12 +169,7 @@ def reliability(self) -> Reliability.ValueType:
self.value / ci_lower if ci_lower != 0 else float("inf"),
ci_upper / self.value if self.value != 0 else float("inf"),
)
is_reliable = calculate_reliability(
relative_confidence,
self.sample_count,
CONFIDENCE_INTERVAL_THRESHOLD,
)
if is_reliable:
if relative_confidence <= CONFIDENCE_INTERVAL_THRESHOLD:
return Reliability.RELIABILITY_HIGH
return Reliability.RELIABILITY_LOW

Expand Down Expand Up @@ -603,21 +593,6 @@ def _calculate_approximate_ci_percentile_levels(
return (lower_index / n, upper_index / n)


def calculate_reliability(
relative_confidence: float,
sample_count: int,
confidence_interval_threshold: float,
sample_count_threshold: int = 100,
) -> bool:
"""
A reliability check to determine if the sample count is large enough to be reliable and the confidence interval is small enough.
"""
if sample_count < sample_count_threshold:
return False

return relative_confidence <= confidence_interval_threshold


def aggregation_to_expression(
aggregation: AttributeAggregation, field: Expression | None = None
) -> Expression:
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -402,9 +402,7 @@ def test_count_reliability_backward_compat(self) -> None:
0
]
assert measurement_count == 5
assert (
measurement_reliability == Reliability.RELIABILITY_LOW
) # low reliability due to low sample count
assert measurement_reliability == Reliability.RELIABILITY_HIGH

def test_count_reliability(self) -> None:
spans_storage = get_storage(StorageKey("eap_spans"))
Expand Down Expand Up @@ -461,9 +459,7 @@ def test_count_reliability(self) -> None:
0
]
assert measurement_count == 5
assert (
measurement_reliability == Reliability.RELIABILITY_LOW
) # low reliability due to low sample count
assert measurement_reliability == Reliability.RELIABILITY_HIGH

def test_count_reliability_with_group_by_backward_compat(self) -> None:
spans_storage = get_storage(StorageKey("eap_spans"))
Expand Down Expand Up @@ -578,17 +574,13 @@ def test_count_reliability_with_group_by_backward_compat(self) -> None:
measurement_counts = [v.val_double for v in response.column_values[3].results]
measurement_reliabilities = [v for v in response.column_values[3].reliabilities]
assert measurement_counts == [5]
assert measurement_reliabilities == [
Reliability.RELIABILITY_LOW,
] # low reliability due to low sample count
assert measurement_reliabilities == [Reliability.RELIABILITY_HIGH]

measurement_p90s = [v.val_double for v in response.column_values[4].results]
measurement_reliabilities = [v for v in response.column_values[4].reliabilities]
assert len(measurement_p90s) == 1
assert measurement_p90s[0] == 4
assert measurement_reliabilities == [
Reliability.RELIABILITY_LOW,
] # low reliability due to low sample count
assert measurement_reliabilities == [Reliability.RELIABILITY_HIGH]

def test_count_reliability_with_group_by(self) -> None:
spans_storage = get_storage(StorageKey("eap_spans"))
Expand Down Expand Up @@ -703,17 +695,13 @@ def test_count_reliability_with_group_by(self) -> None:
measurement_counts = [v.val_double for v in response.column_values[3].results]
measurement_reliabilities = [v for v in response.column_values[3].reliabilities]
assert measurement_counts == [5]
assert measurement_reliabilities == [
Reliability.RELIABILITY_LOW,
] # low reliability due to low sample count
assert measurement_reliabilities == [Reliability.RELIABILITY_HIGH]

measurement_p90s = [v.val_double for v in response.column_values[4].results]
measurement_reliabilities = [v for v in response.column_values[4].reliabilities]
assert len(measurement_p90s) == 1
assert measurement_p90s[0] == 4
assert measurement_reliabilities == [
Reliability.RELIABILITY_LOW,
] # low reliability due to low sample count
assert measurement_reliabilities == [Reliability.RELIABILITY_HIGH]

def test_formula(self) -> None:
"""
Expand Down Expand Up @@ -873,7 +861,7 @@ def test_aggregation_with_nulls(self) -> None:
attribute_name="sum(custom_measurement)",
results=[AttributeValue(val_double=5), AttributeValue(is_null=True)],
reliabilities=[
Reliability.RELIABILITY_LOW,
Reliability.RELIABILITY_HIGH,
Reliability.RELIABILITY_UNSPECIFIED,
],
),
Expand All @@ -882,7 +870,7 @@ def test_aggregation_with_nulls(self) -> None:
results=[AttributeValue(is_null=True), AttributeValue(val_double=5)],
reliabilities=[
Reliability.RELIABILITY_UNSPECIFIED,
Reliability.RELIABILITY_LOW,
Reliability.RELIABILITY_HIGH,
],
),
]
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