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tests/test_phase1_signal_computer.py
Phase 1 validation: signal_computer.py
Run: pytest tests/test_phase1_signal_computer.py -v
"""
import pytest
from app.models import ServiceType, OfficerPool, QueueSnapshot
from app.signal_computer import SignalComputer, ComputedSignals
def make_snapshot(
service: ServiceType,
total_pending: int = 0,
completed_today: int = 0,
sla_breached: int = 0,
urgent: int = 0,
blocked_missing: int = 0,
field_pending: int = 0,
sla_risk: float = 0.0,
) -> QueueSnapshot:
return QueueSnapshot(
service_type=service,
total_pending=total_pending,
total_completed_today=completed_today,
total_sla_breached=sla_breached,
urgent_pending=urgent,
blocked_missing_docs=blocked_missing,
field_verification_pending=field_pending,
current_sla_risk=sla_risk,
)
def make_pool(total=10, available=10, allocated=None) -> OfficerPool:
return OfficerPool(
total_officers=total,
available_officers=available,
allocated=allocated or {},
)
class TestComputedSignalsDefaults:
def test_defaults_all_zero_or_reasonable(self):
s = ComputedSignals()
assert s.backlog_pressure == 0.0
assert s.sla_risk_score == 0.0
assert s.fairness_index == 1.0
assert s.resource_utilization == 0.0
assert s.digital_intake_ratio == 0.5
assert s.blocked_cases_missing_docs == 0
assert s.field_verification_load == 0.0
class TestSignalComputerEmpty:
def test_empty_snapshots_returns_defaults(self):
sc = SignalComputer()
pool = make_pool()
signals = sc.compute({}, pool)
assert signals.backlog_pressure == 0.0
assert signals.fairness_index == 1.0
assert signals.blocked_cases_missing_docs == 0
class TestBacklogPressure:
def test_no_backlog_gives_zero_pressure(self):
sc = SignalComputer()
pool = make_pool(total=10, available=10)
snap = {ServiceType.INCOME_CERTIFICATE.value:
make_snapshot(ServiceType.INCOME_CERTIFICATE, total_pending=0)}
signals = sc.compute(snap, pool, capacity_per_day=10.0)
assert signals.backlog_pressure == 0.0
def test_high_backlog_gives_high_pressure(self):
sc = SignalComputer()
pool = make_pool(total=5, available=5)
snap = {ServiceType.INCOME_CERTIFICATE.value:
make_snapshot(ServiceType.INCOME_CERTIFICATE, total_pending=1000)}
signals = sc.compute(snap, pool, capacity_per_day=5.0)
assert signals.backlog_pressure > 0.8
def test_backlog_pressure_bounded_at_one(self):
sc = SignalComputer()
pool = make_pool(total=1, available=1)
snap = {ServiceType.INCOME_CERTIFICATE.value:
make_snapshot(ServiceType.INCOME_CERTIFICATE, total_pending=99999)}
signals = sc.compute(snap, pool, capacity_per_day=1.0)
assert signals.backlog_pressure <= 1.0
class TestSLARiskScore:
def test_zero_risk_when_all_cases_fresh(self):
sc = SignalComputer()
pool = make_pool()
snap = {ServiceType.INCOME_CERTIFICATE.value:
make_snapshot(ServiceType.INCOME_CERTIFICATE,
total_pending=10, sla_risk=0.0)}
signals = sc.compute(snap, pool)
assert signals.sla_risk_score == 0.0
def test_full_risk_when_all_cases_at_deadline(self):
sc = SignalComputer()
pool = make_pool()
snap = {ServiceType.INCOME_CERTIFICATE.value:
make_snapshot(ServiceType.INCOME_CERTIFICATE,
total_pending=10, sla_risk=1.0)}
signals = sc.compute(snap, pool)
assert abs(signals.sla_risk_score - 1.0) < 0.01
def test_sla_risk_bounded(self):
sc = SignalComputer()
pool = make_pool()
snap = {ServiceType.INCOME_CERTIFICATE.value:
make_snapshot(ServiceType.INCOME_CERTIFICATE,
total_pending=5, sla_risk=0.99)}
signals = sc.compute(snap, pool)
assert 0.0 <= signals.sla_risk_score <= 1.0
class TestFairnessIndex:
def test_single_service_fairness_is_one(self):
sc = SignalComputer()
pool = make_pool()
snap = {ServiceType.INCOME_CERTIFICATE.value:
make_snapshot(ServiceType.INCOME_CERTIFICATE,
total_pending=5, completed_today=3)}
signals = sc.compute(snap, pool)
assert signals.fairness_index == 1.0
def test_equal_completion_rates_fairness_is_one(self):
sc = SignalComputer()
pool = make_pool()
snaps = {
ServiceType.INCOME_CERTIFICATE.value:
make_snapshot(ServiceType.INCOME_CERTIFICATE,
total_pending=5, completed_today=5),
ServiceType.LAND_REGISTRATION.value:
make_snapshot(ServiceType.LAND_REGISTRATION,
total_pending=5, completed_today=5),
}
signals = sc.compute(snaps, pool)
assert abs(signals.fairness_index - 1.0) < 0.05
def test_unequal_completion_rates_reduce_fairness(self):
sc = SignalComputer()
pool = make_pool()
snaps = {
ServiceType.INCOME_CERTIFICATE.value:
make_snapshot(ServiceType.INCOME_CERTIFICATE,
total_pending=10, completed_today=10),
ServiceType.LAND_REGISTRATION.value:
make_snapshot(ServiceType.LAND_REGISTRATION,
total_pending=10, completed_today=0),
}
signals = sc.compute(snaps, pool)
assert signals.fairness_index < 1.0
def test_fairness_bounded(self):
sc = SignalComputer()
pool = make_pool()
snaps = {
"a": make_snapshot(ServiceType.INCOME_CERTIFICATE,
total_pending=100, completed_today=100),
"b": make_snapshot(ServiceType.LAND_REGISTRATION,
total_pending=100, completed_today=0),
}
signals = sc.compute(snaps, pool)
assert 0.0 <= signals.fairness_index <= 1.0
class TestResourceUtilization:
def test_fully_allocated_gives_one(self):
sc = SignalComputer()
pool = make_pool(total=10, available=10,
allocated={"income_certificate": 10})
snap = {ServiceType.INCOME_CERTIFICATE.value:
make_snapshot(ServiceType.INCOME_CERTIFICATE, total_pending=5)}
signals = sc.compute(snap, pool)
assert abs(signals.resource_utilization - 1.0) < 0.01
def test_zero_allocation_gives_zero_utilization(self):
sc = SignalComputer()
pool = make_pool(total=10, available=10, allocated={})
snap = {ServiceType.INCOME_CERTIFICATE.value:
make_snapshot(ServiceType.INCOME_CERTIFICATE, total_pending=5)}
signals = sc.compute(snap, pool)
assert signals.resource_utilization == 0.0
def test_utilization_bounded(self):
sc = SignalComputer()
pool = make_pool(total=10, available=10,
allocated={"income_certificate": 99})
snap = {ServiceType.INCOME_CERTIFICATE.value:
make_snapshot(ServiceType.INCOME_CERTIFICATE, total_pending=5)}
signals = sc.compute(snap, pool)
assert 0.0 <= signals.resource_utilization <= 1.0
class TestDigitalIntakeRatio:
def test_all_digital_gives_one(self):
sc = SignalComputer()
pool = make_pool()
snap = {ServiceType.INCOME_CERTIFICATE.value:
make_snapshot(ServiceType.INCOME_CERTIFICATE, total_pending=5)}
signals = sc.compute(snap, pool,
todays_arrivals=10, digital_arrivals=10)
assert signals.digital_intake_ratio == 1.0
def test_no_arrivals_gives_half(self):
sc = SignalComputer()
pool = make_pool()
snap = {ServiceType.INCOME_CERTIFICATE.value:
make_snapshot(ServiceType.INCOME_CERTIFICATE)}
signals = sc.compute(snap, pool, todays_arrivals=0, digital_arrivals=0)
assert signals.digital_intake_ratio == 0.5
def test_ratio_bounded(self):
sc = SignalComputer()
pool = make_pool()
snap = {ServiceType.INCOME_CERTIFICATE.value:
make_snapshot(ServiceType.INCOME_CERTIFICATE)}
signals = sc.compute(snap, pool, todays_arrivals=5, digital_arrivals=5)
assert 0.0 <= signals.digital_intake_ratio <= 1.0
class TestBlockedAndFieldLoad:
def test_blocked_cases_aggregated_across_services(self):
sc = SignalComputer()
pool = make_pool()
snaps = {
ServiceType.INCOME_CERTIFICATE.value:
make_snapshot(ServiceType.INCOME_CERTIFICATE,
total_pending=10, blocked_missing=3),
ServiceType.LAND_REGISTRATION.value:
make_snapshot(ServiceType.LAND_REGISTRATION,
total_pending=8, blocked_missing=2),
}
signals = sc.compute(snaps, pool)
assert signals.blocked_cases_missing_docs == 5
def test_field_verification_load_fraction(self):
sc = SignalComputer()
pool = make_pool()
snap = {ServiceType.PASSPORT.value:
make_snapshot(ServiceType.PASSPORT,
total_pending=10, field_pending=4)}
signals = sc.compute(snap, pool)
assert abs(signals.field_verification_load - 0.4) < 0.05
def test_field_load_bounded(self):
sc = SignalComputer()
pool = make_pool()
snap = {ServiceType.PASSPORT.value:
make_snapshot(ServiceType.PASSPORT,
total_pending=5, field_pending=5)}
signals = sc.compute(snap, pool)
assert 0.0 <= signals.field_verification_load <= 1.0
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