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1875b13 6d74982 1875b13 6d74982 1875b13 6d74982 1875b13 6d74982 1875b13 6d74982 1875b13 6d74982 1875b13 6d74982 1875b13 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 | // tests/test_environment.go — unit tests for GridMind-RL environment
package tests
import (
"testing"
"math"
"gridmind-rl/env"
)
// TestResetProducesValidObservation checks that reset returns sane initial observations.
func TestResetProducesValidObservation(t *testing.T) {
e := env.NewEnvironment()
var seed int64 = 42
resp := e.Reset(env.ResetRequest{Seed: &seed, TaskID: 1, NumBuildings: 1})
if len(resp.Observations) != 1 {
t.Fatalf("expected 1 observation, got %d", len(resp.Observations))
}
obs := resp.Observations[0]
if obs.IndoorTemperature < 10 || obs.IndoorTemperature > 40 {
t.Errorf("indoor_temperature out of range: %.2f", obs.IndoorTemperature)
}
if obs.ThermalStorageLevel < 0 || obs.ThermalStorageLevel > 1 {
t.Errorf("thermal_storage_level out of [0,1]: %.3f", obs.ThermalStorageLevel)
}
if obs.CurrentPrice <= 0 {
t.Errorf("current_price must be positive, got %.4f", obs.CurrentPrice)
}
if obs.HourOfDay < 0 || obs.HourOfDay > 23 {
t.Errorf("hour_of_day out of [0,23]: %d", obs.HourOfDay)
}
if obs.GridStressSignal < 0 || obs.GridStressSignal > 1 {
t.Errorf("grid_stress_signal out of [0,1]: %.3f", obs.GridStressSignal)
}
}
// TestStepAdvancesState verifies that step increments the step counter.
func TestStepAdvancesState(t *testing.T) {
e := env.NewEnvironment()
var seed int64 = 1
e.Reset(env.ResetRequest{Seed: &seed, TaskID: 1, NumBuildings: 1})
action := []env.ActionModel{{HVACPowerLevel: 0.5, ThermalChargeRate: 0.0, BatchJobSlot: 0}}
resps, done := e.Step(action)
if done {
t.Error("episode should not be done after first step")
}
if len(resps) != 1 {
t.Fatalf("expected 1 step response, got %d", len(resps))
}
state := e.GetState()
if state.Step != 1 {
t.Errorf("expected step=1 after one step, got %d", state.Step)
}
if resps[0].Observation.Step != 0 {
t.Errorf("expected observation.step=0 after first transition, got %d", resps[0].Observation.Step)
}
}
// TestEpisodeLengthIs96 verifies the episode terminates after 96 steps (24h).
func TestEpisodeLengthIs96(t *testing.T) {
e := env.NewEnvironment()
var seed int64 = 99
e.Reset(env.ResetRequest{Seed: &seed, TaskID: 1, NumBuildings: 1})
action := []env.ActionModel{{HVACPowerLevel: 0.5}}
var lastDone bool
for i := 0; i < env.EpisodeSteps; i++ {
_, lastDone = e.Step(action)
}
if !lastDone {
t.Errorf("episode should be done after %d steps", env.EpisodeSteps)
}
}
// TestDeterministicWithSeed verifies that two runs with the same seed produce identical rewards.
func TestDeterministicWithSeed(t *testing.T) {
action := []env.ActionModel{{HVACPowerLevel: 0.4, ThermalChargeRate: 0.1, BatchJobSlot: 1}}
var seed int64 = 1337
run := func() float64 {
e := env.NewEnvironment()
e.Reset(env.ResetRequest{Seed: &seed, TaskID: 2, NumBuildings: 1})
resps, _ := e.Step(action)
return resps[0].Reward
}
r1 := run()
r2 := run()
if math.Abs(r1-r2) > 1e-9 {
t.Errorf("non-deterministic rewards with same seed: %.6f vs %.6f", r1, r2)
}
}
// TestActionClamping verifies out-of-range actions are clamped.
func TestActionClamping(t *testing.T) {
e := env.NewEnvironment()
var seed int64 = 7
e.Reset(env.ResetRequest{Seed: &seed, TaskID: 1})
// Over-range action
action := []env.ActionModel{{HVACPowerLevel: 2.0, ThermalChargeRate: -5.0, LoadShedFraction: 0.9}}
resps, _ := e.Step(action)
if len(resps) == 0 {
t.Fatal("no responses returned")
}
// After step, state should still be valid
state := e.GetState()
if len(state.Buildings) == 0 {
t.Fatal("no buildings in state")
}
b := state.Buildings[0]
if b.ThermalStorageLevel < 0 || b.ThermalStorageLevel > 1 {
t.Errorf("thermal storage out of bounds: %.3f", b.ThermalStorageLevel)
}
}
// TestMultiBuildingFederation checks that 3-building reset + step works.
func TestMultiBuildingFederation(t *testing.T) {
e := env.NewEnvironment()
var seed int64 = 5
resp := e.Reset(env.ResetRequest{Seed: &seed, TaskID: 3, NumBuildings: 3})
if len(resp.Observations) != 3 {
t.Fatalf("expected 3 observations for 3 buildings, got %d", len(resp.Observations))
}
actions := []env.ActionModel{
{HVACPowerLevel: 0.3, BuildingID: 0},
{HVACPowerLevel: 0.5, BuildingID: 1},
{HVACPowerLevel: 0.7, BuildingID: 2},
}
resps, _ := e.Step(actions)
if len(resps) != 3 {
t.Fatalf("expected 3 step responses, got %d", len(resps))
}
}
// TestRewardComponentsAreFinite verifies no NaN/Inf in rewards.
func TestRewardComponentsAreFinite(t *testing.T) {
e := env.NewEnvironment()
var seed int64 = 42
e.Reset(env.ResetRequest{Seed: &seed, TaskID: 3})
action := []env.ActionModel{{HVACPowerLevel: 0.5, ThermalChargeRate: 0.2, BatchJobSlot: 2, LoadShedFraction: 0.3}}
resps, _ := e.Step(action)
rc := resps[0].Info.RewardComponents
vals := []float64{rc.CostSavings, rc.TempConstraint, rc.GridResponse,
rc.DeadlinePenalty, rc.EfficiencyBonus, rc.StabilityPenalty, rc.CarbonReward, rc.Total}
for i, v := range vals {
if math.IsNaN(v) || math.IsInf(v, 0) {
t.Errorf("reward component %d is not finite: %v", i, v)
}
}
}
// TestGraderTask1ScoreRange verifies Task 1 score is always in [0, 1].
func TestGraderTask1ScoreRange(t *testing.T) {
e := env.NewEnvironment()
var seed int64 = 101
e.Reset(env.ResetRequest{Seed: &seed, TaskID: 1})
action := []env.ActionModel{{HVACPowerLevel: 0.3}}
for i := 0; i < env.EpisodeSteps; i++ {
e.Step(action)
}
state := e.GetState()
replay := e.GetReplay()
buildings := make([]*env.BuildingState, len(state.Buildings))
for i, pub := range state.Buildings {
jobsCopy := make([]env.BatchJob, len(pub.Jobs))
copy(jobsCopy, pub.Jobs)
buildings[i] = &env.BuildingState{
CumulativeCost: pub.CumulativeCost,
BaselineCost: pub.BaselineCost,
CumulativeCarbon: pub.CumulativeCarbon,
BaselineCarbon: pub.BaselineCarbon,
Jobs: jobsCopy,
}
}
grade := env.GradeEpisode(env.GradeEpisodeInput{
TaskID: 1,
Buildings: buildings,
Replay: replay,
TMin: env.TMinDefault,
TMax: env.TMaxDefault,
})
if grade.Score < 0 || grade.Score > 1 {
t.Errorf("Task 1 score out of [0,1]: %.4f", grade.Score)
}
}
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