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Author SHA1 Message Date
65d6fc6119 test: add A/B testing framework tests (#101)
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2026-04-15 03:58:27 +00:00
70d04cdbfd feat: add crisis detection A/B test framework (#101) 2026-04-15 03:58:26 +00:00
2 changed files with 281 additions and 0 deletions

152
crisis/ab_testing.py Normal file
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"""
A/B Test Framework for Crisis Detection in the-door.
Allows running two crisis detection variants side-by-side with
logged outcomes for comparison. No PII stored — only variant labels,
levels, and timing.
Usage:
from crisis.ab_testing import ABTestCrisisDetector
detector = ABTestCrisisDetector(variant_a=detect_v1, variant_b=detect_v2)
result, variant = detector.detect("I feel hopeless")
# result: CrisisDetectionResult
# variant: "A" or "B"
# Get comparison metrics
stats = detector.get_stats()
# {"A": {"count": 100, "avg_latency_ms": 2.3, ...}, "B": {...}}
"""
import os
import random
import time
from dataclasses import dataclass, field
from typing import Callable, Dict, List, Optional, Tuple
from .detect import CrisisDetectionResult
# ── Feature flag ───────────────────────────────────────────────
def _get_variant_override() -> Optional[str]:
"""Check for environment variable override (testing/debugging)."""
val = os.environ.get("CRISIS_AB_VARIANT", "").upper()
if val in ("A", "B"):
return val
return None
@dataclass
class VariantRecord:
"""Single detection event record — no PII, only metadata."""
variant: str
level: str
latency_ms: float
indicator_count: int
class ABTestCrisisDetector:
"""
A/B test wrapper for crisis detection.
Routes calls to variant A or B based on configurable split,
logs outcomes for comparison, and provides aggregate stats.
"""
def __init__(
self,
variant_a: Callable[[str], CrisisDetectionResult],
variant_b: Callable[[str], CrisisDetectionResult],
split: float = 0.5,
variant_a_name: str = "A",
variant_b_name: str = "B",
):
"""
Args:
variant_a: First detection function
variant_b: Second detection function
split: Probability of selecting variant A (0.0 to 1.0)
variant_a_name: Label for variant A in reports
variant_b_name: Label for variant B in reports
"""
self.variant_a = variant_a
self.variant_b = variant_b
self.split = split
self.variant_a_name = variant_a_name
self.variant_b_name = variant_b_name
self.records: List[VariantRecord] = []
def _select_variant(self) -> str:
"""Select variant based on split and optional env override."""
override = _get_variant_override()
if override:
return override
return "A" if random.random() < self.split else "B"
def detect(self, text: str) -> Tuple[CrisisDetectionResult, str]:
"""
Run detection on the selected variant and log the result.
Returns:
(CrisisDetectionResult, variant_label)
"""
variant = self._select_variant()
if variant == "A":
fn = self.variant_a
else:
fn = self.variant_b
start = time.perf_counter()
result = fn(text)
latency_ms = (time.perf_counter() - start) * 1000
# Log record (no PII — only level, timing, count)
record = VariantRecord(
variant=variant,
level=result.level,
latency_ms=latency_ms,
indicator_count=len(result.indicators),
)
self.records.append(record)
return result, variant
def get_stats(self) -> Dict[str, dict]:
"""
Get per-variant comparison statistics.
Returns dict with variant labels as keys:
{
"A": {"count": 100, "avg_latency_ms": 2.3, "levels": {...}},
"B": {"count": 95, "avg_latency_ms": 3.1, "levels": {...}}
"""
stats = {}
for label in ("A", "B"):
recs = [r for r in self.records if r.variant == label]
if not recs:
stats[label] = {"count": 0}
continue
latencies = [r.latency_ms for r in recs]
levels = {}
for r in recs:
levels[r.level] = levels.get(r.level, 0) + 1
stats[label] = {
"count": len(recs),
"avg_latency_ms": round(sum(latencies) / len(latencies), 2),
"max_latency_ms": round(max(latencies), 2),
"min_latency_ms": round(min(latencies), 2),
"levels": levels,
"avg_indicators": round(
sum(r.indicator_count for r in recs) / len(recs), 2
),
}
return stats
def reset(self) -> None:
"""Clear all records. For testing."""
self.records.clear()

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tests/test_ab_testing.py Normal file
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"""
Tests for crisis/ab_testing.py — A/B test framework for crisis detection.
Verifies variant selection, logging, stats aggregation, and env override.
"""
import os
from unittest.mock import patch
import pytest
from crisis.ab_testing import ABTestCrisisDetector
from crisis.detect import CrisisDetectionResult, detect_crisis
def _make_variant(level: str):
"""Create a mock detection function that returns a fixed level."""
def fn(text: str) -> CrisisDetectionResult:
return CrisisDetectionResult(level=level, indicators=[f"mock_{level}"])
return fn
class TestABTestCrisisDetector:
"""A/B test framework unit tests."""
def setup_method(self):
"""Ensure no env override."""
os.environ.pop("CRISIS_AB_VARIANT", None)
def test_returns_result_and_variant(self):
detector = ABTestCrisisDetector(
variant_a=_make_variant("LOW"),
variant_b=_make_variant("HIGH"),
)
result, variant = detector.detect("test message")
assert isinstance(result, CrisisDetectionResult)
assert variant in ("A", "B")
def test_records_are_logged(self):
detector = ABTestCrisisDetector(
variant_a=_make_variant("LOW"),
variant_b=_make_variant("HIGH"),
)
# Force variant A
with patch.object(detector, "_select_variant", return_value="A"):
detector.detect("test")
assert len(detector.records) == 1
assert detector.records[0].variant == "A"
assert detector.records[0].level == "LOW"
def test_stats_empty(self):
detector = ABTestCrisisDetector(
variant_a=_make_variant("LOW"),
variant_b=_make_variant("HIGH"),
)
stats = detector.get_stats()
assert stats["A"]["count"] == 0
assert stats["B"]["count"] == 0
def test_stats_with_data(self):
detector = ABTestCrisisDetector(
variant_a=_make_variant("LOW"),
variant_b=_make_variant("HIGH"),
)
# Force 5 A and 3 B
with patch.object(detector, "_select_variant", side_effect=["A"] * 5 + ["B"] * 3):
for _ in range(8):
detector.detect("test")
stats = detector.get_stats()
assert stats["A"]["count"] == 5
assert stats["B"]["count"] == 3
assert "avg_latency_ms" in stats["A"]
assert stats["A"]["levels"]["LOW"] == 5
assert stats["B"]["levels"]["HIGH"] == 3
def test_env_override_a(self):
os.environ["CRISIS_AB_VARIANT"] = "A"
detector = ABTestCrisisDetector(
variant_a=_make_variant("LOW"),
variant_b=_make_variant("HIGH"),
)
for _ in range(10):
result, variant = detector.detect("test")
assert variant == "A"
assert result.level == "LOW"
def test_env_override_b(self):
os.environ["CRISIS_AB_VARIANT"] = "b"
detector = ABTestCrisisDetector(
variant_a=_make_variant("LOW"),
variant_b=_make_variant("HIGH"),
)
for _ in range(10):
result, variant = detector.detect("test")
assert variant == "B"
assert result.level == "HIGH"
def test_reset_clears_records(self):
detector = ABTestCrisisDetector(
variant_a=_make_variant("LOW"),
variant_b=_make_variant("HIGH"),
)
detector.detect("test")
detector.detect("test")
assert len(detector.records) == 2
detector.reset()
assert len(detector.records) == 0
def test_split_respected(self):
"""With split=1.0, always get variant A."""
detector = ABTestCrisisDetector(
variant_a=_make_variant("LOW"),
variant_b=_make_variant("HIGH"),
split=1.0,
)
for _ in range(10):
_, variant = detector.detect("test")
assert variant == "A"
def test_with_real_detector(self):
"""Integration test using actual detect_crisis as both variants."""
detector = ABTestCrisisDetector(
variant_a=detect_crisis,
variant_b=detect_crisis,
)
result, variant = detector.detect("I want to kill myself")
assert result.level == "CRITICAL"
assert variant in ("A", "B")