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529b5a7 | 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 | """Tests for Pydantic models."""
import pytest
from pydantic import ValidationError
from env.models import (
ActionType, CloudAction, CloudObservation, CloudResource, CloudReward,
Environment, ResourceType, StepResult,
)
def test_resource_type_enum():
assert ResourceType.ec2 == "ec2"
assert ResourceType.s3 == "s3"
def test_environment_enum():
assert Environment.prod == "prod"
assert Environment.dev == "dev"
def test_action_type_enum():
assert ActionType.rightsize_resource == "rightsize_resource"
assert ActionType.skip_resource == "skip_resource"
def test_cloud_resource_valid():
r = CloudResource(
resource_id="res-test-001",
resource_type=ResourceType.ec2,
name="test-server",
environment=Environment.dev,
current_config={"instance_type": "t3.large"},
utilization={"cpu_percent": 10.0},
monthly_cost=60.74,
)
assert r.resource_id == "res-test-001"
assert r.is_critical is False
assert r.dependencies == []
assert r.subnet is None
def test_cloud_resource_all_fields():
r = CloudResource(
resource_id="res-test-002",
resource_type=ResourceType.rds,
name="prod-db",
environment=Environment.prod,
current_config={"instance_type": "db.r5.large"},
utilization={"cpu_percent": 40.0},
monthly_cost=175.20,
tags={"team": "data"},
has_backups=True,
is_critical=True,
dependencies=["res-test-001"],
usage_pattern="always_on",
subnet="subnet-prod-a",
)
assert r.is_critical is True
assert r.dependencies == ["res-test-001"]
assert r.subnet == "subnet-prod-a"
def test_cloud_action_valid():
a = CloudAction(
action_type=ActionType.rightsize_resource,
resource_id="res-test-001",
new_config={"instance_type": "t3.small"},
reasoning="CPU too low",
)
assert a.action_type == ActionType.rightsize_resource
def test_cloud_action_minimal():
a = CloudAction(
action_type=ActionType.skip_resource,
resource_id="res-test-001",
)
assert a.new_config is None
assert a.reasoning == ""
def test_cloud_observation():
obs = CloudObservation(
task_id="test",
goal="test goal",
account_id="acc-1",
resources=[],
monthly_cost_current=100.0,
monthly_cost_optimized=50.0,
total_possible_savings=50.0,
)
assert obs.step_number == 0
assert obs.last_action_error is None
def test_cloud_reward_bounds():
r = CloudReward(value=0.5, cost_saved=100.0)
assert r.value == 0.5
with pytest.raises(ValidationError):
CloudReward(value=1.5)
with pytest.raises(ValidationError):
CloudReward(value=-0.1)
def test_step_result():
obs = CloudObservation(
task_id="test",
goal="g",
account_id="a",
resources=[],
monthly_cost_current=100.0,
monthly_cost_optimized=50.0,
total_possible_savings=50.0,
)
sr = StepResult(observation=obs, reward=0.5, done=False, info={"test": True})
assert sr.reward == 0.5
assert sr.done is False
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