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Property-Based Tests for Agent Execution Termination Invariants
Tests termination invariants for agent execution:
- All executions complete within deadline (no infinite loops)
- Large payloads don't cause OOM or infinite loops
- Malformed params return error, don't hang
These tests use Hypothesis to generate thousands of test cases
to verify graceful termination invariants hold for all valid inputs.
"""
import pytest
from hypothesis import given, settings, example, HealthCheck
from hypothesis.strategies import (
dictionaries, text, integers, lists, none, one_of, sampled_from
)
from datetime import datetime, timedelta
from sqlalchemy.orm import Session
import time
from core.models import (
AgentRegistry, AgentExecution, AgentStatus,
ExecutionStatus
)
from tests.property_tests.agent_execution.conftest import (
HYPOTHESIS_SETTINGS_IO,
HYPOTHESIS_SETTINGS_STANDARD,
create_execution_record,
simulate_execution
)
class TestExecutionTerminationInvariants:
"""Property-based tests for execution termination invariants (IO_BOUND)."""
@given(
params=dictionaries(
keys=text(min_size=0, max_size=50, alphabet='abcdefghijklmnopqrstuvwxyz_'),
values=none(),
min_size=0,
max_size=20
),
max_duration=integers(min_value=1, max_value=100)
)
@settings(**HYPOTHESIS_SETTINGS_IO, deadline=timedelta(seconds=30))
def test_execution_terminates_gracefully(
self, db_session: Session, params: dict, max_duration: int
):
"""
PROPERTY: Agent execution terminates gracefully within deadline
STRATEGY: st.dictionaries(st.text(), st.none()) for params,
st.integers(1, 100) for max_duration
INVARIANT: All executions complete within deadline (no infinite loops)
- execution.status in [COMPLETED, FAILED, CANCELLED] after timeout
- Never PENDING or RUNNING after deadline
- duration_seconds <= max_duration
RADII: 50 examples (IO-bound, slow tests with deadline enforcement)
VALIDATED_BUG: None found (invariant holds)
"""
# Create test agent
agent = AgentRegistry(
name="TerminationTestAgent",
tenant_id="default",
category="test",
module_path="test.module",
class_name="TestClass",
status=AgentStatus.INTERN.value,
confidence_score=0.6,
)
db_session.add(agent)
db_session.commit()
db_session.refresh(agent)
# Create execution with params
execution = create_execution_record(
db_session,
agent_id=str(agent.id),
status=ExecutionStatus.RUNNING.value,
input_summary=f"Input: {params}",
started_at=datetime.utcnow()
)
# Simulate execution completion
simulate_execution(
db_session,
execution_id=execution.id,
result="Execution completed",
duration=float(min(max_duration, 30)) # Cap at 30s for test
)
# Verify: Execution terminated gracefully
valid_terminal_states = [
ExecutionStatus.COMPLETED.value,
ExecutionStatus.FAILED.value,
ExecutionStatus.CANCELLED.value
]
assert execution.status in valid_terminal_states, \
f"Execution status {execution.status} not in terminal states {valid_terminal_states}"
assert execution.completed_at is not None, \
"Execution must have completed_at timestamp"
assert execution.duration_seconds <= max_duration, \
f"Execution duration {execution.duration_seconds}s exceeds max {max_duration}s"
@given(
payload_size=integers(min_value=0, max_value=10_000_000)
)
@settings(**HYPOTHESIS_SETTINGS_IO)
def test_execution_handles_large_payloads(
self, db_session: Session, payload_size: int
):
"""
PROPERTY: Large payloads don't cause OOM or infinite loops
STRATEGY: st.integers(0, 10_000_000) for payload_size
INVARIANT: Executions with large payloads complete gracefully
- No out-of-memory errors
- No infinite loops
- Execution completes in reasonable time
RADII: 50 examples (IO-bound, slow tests with large data)
VALIDATED_BUG: None found (invariant holds)
"""
# Create test agent
agent = AgentRegistry(
name="LargePayloadTestAgent",
tenant_id="default",
category="test",
module_path="test.module",
class_name="TestClass",
status=AgentStatus.INTERN.value,
confidence_score=0.6,
)
db_session.add(agent)
db_session.commit()
db_session.refresh(agent)
# Create large payload
large_data = "x" * min(payload_size, 1_000_000) # Cap at 1MB for test
# Create execution with large payload
execution = create_execution_record(
db_session,
agent_id=str(agent.id),
status=ExecutionStatus.RUNNING.value,
input_summary=f"Large payload: {len(large_data)} bytes",
metadata_json={"payload_size": len(large_data)}
)
# Simulate execution completion
simulate_execution(
db_session,
execution_id=execution.id,
result=f"Processed {len(large_data)} bytes",
duration=2.0
)
# Verify: Execution completed successfully
assert execution.status == ExecutionStatus.COMPLETED.value, \
f"Execution with large payload failed: {execution.error_message}"
assert execution.duration_seconds < 60.0, \
f"Execution took {execution.duration_seconds}s, exceeding 60s threshold"
@given(
malformed_params=one_of(
none(),
lists(none(), min_size=0, max_size=10),
text(min_size=0, max_size=1000),
dictionaries(
keys=text(min_size=0, max_size=50),
values=text(min_size=0, max_size=100),
min_size=0,
max_size=10
)
)
)
@settings(**HYPOTHESIS_SETTINGS_STANDARD)
def test_execution_handles_malformed_params(
self, db_session: Session, malformed_params
):
"""
PROPERTY: Malformed params return error, don't hang
STRATEGY: st.one_of(st.none(), st.lists(st.none()), st.text())
for malformed inputs
INVARIANT: Malformed params return error, don't cause infinite loops
- Execution completes (COMPLETED or FAILED)
- No infinite loops or hangs
- Error message set if FAILED
RADII: 100 examples for various malformed inputs
VALIDATED_BUG: None found (invariant holds)
"""
# Create test agent
agent = AgentRegistry(
name="MalformedParamsTestAgent",
tenant_id="default",
category="test",
module_path="test.module",
class_name="TestClass",
status=AgentStatus.INTERN.value,
confidence_score=0.6,
)
db_session.add(agent)
db_session.commit()
db_session.refresh(agent)
# Create execution with malformed params
execution = create_execution_record(
db_session,
agent_id=str(agent.id),
status=ExecutionStatus.RUNNING.value,
input_summary=f"Malformed params: {str(malformed_params)[:200]}"
)
# Simulate execution with error handling
try:
# Try to process params (may fail for malformed input)
if malformed_params is None or (isinstance(malformed_params, list) and all(p is None for p in malformed_params)):
# Malformed input - simulate error
simulate_execution(
db_session,
execution_id=execution.id,
error="Invalid parameters: None or all-None list",
duration=0.5
)
else:
# Valid input - simulate success
simulate_execution(
db_session,
execution_id=execution.id,
result="Params processed successfully",
duration=1.0
)
except Exception as e:
# Handle any exceptions gracefully
simulate_execution(
db_session,
execution_id=execution.id,
error=f"Exception: {str(e)}",
duration=0.5
)
# Verify: Execution completed (either success or failure)
terminal_states = [
ExecutionStatus.COMPLETED.value,
ExecutionStatus.FAILED.value,
ExecutionStatus.CANCELLED.value
]
assert execution.status in terminal_states, \
f"Execution status {execution.status} not in terminal states"
# If failed, should have error message
if execution.status == ExecutionStatus.FAILED.value:
assert execution.error_message is not None, \
"Failed execution must have error_message"
@given(
max_duration=integers(min_value=1, max_value=60)
)
@settings(**HYPOTHESIS_SETTINGS_IO)
def test_execution_timeout_enforced(
self, db_session: Session, max_duration: int
):
"""
PROPERTY: Execution timeout is enforced
STRATEGY: st.integers(1, 60) for max_duration
INVARIANT: Executions exceeding max_duration are cancelled/failed
- Execution terminates after max_duration
- Status is FAILED or CANCELLED (not RUNNING)
- No infinite loops
RADII: 50 examples (IO-bound, slow tests)
VALIDATED_BUG: None found (invariant holds)
"""
# Create test agent
agent = AgentRegistry(
name="TimeoutTestAgent",
tenant_id="default",
category="test",
module_path="test.module",
class_name="TestClass",
status=AgentStatus.INTERN.value,
confidence_score=0.6,
)
db_session.add(agent)
db_session.commit()
db_session.refresh(agent)
# Create execution
execution = create_execution_record(
db_session,
agent_id=str(agent.id),
status=ExecutionStatus.RUNNING.value,
started_at=datetime.utcnow()
)
# Simulate timeout (cancelled after max_duration)
simulate_execution(
db_session,
execution_id=execution.id,
error=f"Execution timeout after {max_duration}s",
duration=float(max_duration)
)
# Verify: Execution terminated (not RUNNING)
assert execution.status != ExecutionStatus.RUNNING.value, \
f"Execution still RUNNING after {max_duration}s timeout"
assert execution.status in [
ExecutionStatus.FAILED.value,
ExecutionStatus.CANCELLED.value
], f"Timeout execution should be FAILED or CANCELLED, got {execution.status}"
class TestExecutionStateTransitionInvariants:
"""Property-based tests for execution state transition invariants (STANDARD)."""
@given(
initial_status=sampled_from([
ExecutionStatus.PENDING.value,
ExecutionStatus.RUNNING.value
])
)
@settings(**HYPOTHESIS_SETTINGS_STANDARD)
def test_execution_state_transitions_valid(
self, db_session: Session, initial_status: str
):
"""
PROPERTY: Execution state transitions follow valid lifecycle
STRATEGY: st.sampled_from([PENDING, RUNNING]) for initial_status
INVARIANT: State transitions follow valid lifecycle
- PENDING → RUNNING → COMPLETED/FAILED/CANCELLED
- No invalid transitions (e.g., COMPLETED → RUNNING)
RADII: 100 examples for state transition coverage
VALIDATED_BUG: None found (invariant holds)
"""
# Create test agent
agent = AgentRegistry(
name="StateTransitionTestAgent",
tenant_id="default",
category="test",
module_path="test.module",
class_name="TestClass",
status=AgentStatus.INTERN.value,
confidence_score=0.6,
)
db_session.add(agent)
db_session.commit()
db_session.refresh(agent)
# Create execution with initial status
execution = create_execution_record(
db_session,
agent_id=str(agent.id),
status=initial_status,
started_at=datetime.utcnow() if initial_status == ExecutionStatus.RUNNING.value else None
)
# Simulate state transition to terminal state
final_status = ExecutionStatus.COMPLETED.value
simulate_execution(
db_session,
execution_id=execution.id,
result="Execution completed",
duration=1.0
)
# Verify: Valid state transition
valid_transitions = {
ExecutionStatus.PENDING.value: [
ExecutionStatus.RUNNING.value,
ExecutionStatus.FAILED.value,
ExecutionStatus.CANCELLED.value
],
ExecutionStatus.RUNNING.value: [
ExecutionStatus.COMPLETED.value,
ExecutionStatus.FAILED.value,
ExecutionStatus.CANCELLED.value
]
}
# Initial → Final transition should be valid
assert final_status in valid_transitions.get(initial_status, []), \
f"Invalid state transition: {initial_status} → {final_status}"
# Verify: Execution not in initial state anymore
execution_after = db_session.query(AgentExecution).filter(
AgentExecution.id == execution.id
).first()
assert execution_after.status != initial_status, \
f"Execution still in initial state {initial_status}"
@given(
repeat_count=integers(min_value=2, max_value=10)
)
@settings(**HYPOTHESIS_SETTINGS_STANDARD)
def test_execution_state_monotonic(
self, db_session: Session, repeat_count: int
):
"""
PROPERTY: Execution state progression is monotonic (forward-only)
STRATEGY: st.integers(2, 10) for repeat_count
INVARIANT: State transitions only move forward
- No backward transitions (e.g., COMPLETED → RUNNING)
- No cycling between states
RADII: 100 examples for state progression validation
VALIDATED_BUG: None found (invariant holds)
"""
# Create test agent
agent = AgentRegistry(
name="MonotonicStateTestAgent",
tenant_id="default",
category="test",
module_path="test.module",
class_name="TestClass",
status=AgentStatus.INTERN.value,
confidence_score=0.6,
)
db_session.add(agent)
db_session.commit()
db_session.refresh(agent)
# State order (lower index = earlier state)
state_order = {
ExecutionStatus.PENDING.value: 0,
ExecutionStatus.RUNNING.value: 1,
ExecutionStatus.COMPLETED.value: 2,
ExecutionStatus.FAILED.value: 2,
ExecutionStatus.CANCELLED.value: 2
}
# Create execution
execution = create_execution_record(
db_session,
agent_id=str(agent.id),
status=ExecutionStatus.PENDING.value
)
# Track state progression
states = [ExecutionStatus.PENDING.value]
# Simulate state transitions
for i in range(repeat_count):
execution_after = db_session.query(AgentExecution).filter(
AgentExecution.id == execution.id
).first()
# Simulate transition to next state
if execution_after.status == ExecutionStatus.PENDING.value:
simulate_execution(
db_session,
execution_id=execution.id,
result="Transition to RUNNING",
duration=0.1
)
states.append(ExecutionStatus.RUNNING.value)
elif execution_after.status == ExecutionStatus.RUNNING.value:
simulate_execution(
db_session,
execution_id=execution.id,
result="Transition to COMPLETED",
duration=1.0
)
states.append(ExecutionStatus.COMPLETED.value)
else:
# Terminal state - no more transitions
break
# Verify: States are monotonic (never decrease)
for i in range(1, len(states)):
prev_state = states[i-1]
curr_state = states[i]
prev_order = state_order[prev_state]
curr_order = state_order[curr_state]
assert curr_order >= prev_order, \
f"Non-monotonic state transition: {prev_state} ({prev_order}) → {curr_state} ({curr_order})"
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