Files
attune/tests/e2e/tier1/test_t1_01_interval_timer.py
2026-02-04 17:46:30 -06:00

280 lines
9.8 KiB
Python

#!/usr/bin/env python3
"""
T1.1: Interval Timer Automation
Tests that an action executes repeatedly on an interval timer trigger.
Test Flow:
1. Register test pack via API
2. Create interval timer trigger (every 5 seconds)
3. Create simple echo action
4. Create rule linking timer → action
5. Wait for 3 trigger events (15 seconds)
6. Verify 3 enforcements created
7. Verify 3 executions completed successfully
Success Criteria:
- Timer fires every 5 seconds (±500ms tolerance)
- Each timer event creates enforcement
- Each enforcement creates execution
- All executions reach 'succeeded' status
- Action output captured in execution results
- No errors in any service logs
"""
import time
import pytest
from helpers import (
AttuneClient,
create_echo_action,
create_interval_timer,
create_rule,
wait_for_event_count,
wait_for_execution_count,
wait_for_execution_status,
)
@pytest.mark.tier1
@pytest.mark.timer
@pytest.mark.integration
@pytest.mark.timeout(60)
class TestIntervalTimerAutomation:
"""Test interval timer automation flow"""
def test_interval_timer_creates_executions(
self, client: AttuneClient, pack_ref: str
):
"""Test that interval timer creates executions at regular intervals"""
# Test parameters
interval_seconds = 5
expected_executions = 3
test_duration = interval_seconds * expected_executions + 5 # Add buffer
print(f"\n=== T1.1: Interval Timer Automation ===")
print(f"Interval: {interval_seconds}s")
print(f"Expected executions: {expected_executions}")
print(f"Test duration: ~{test_duration}s")
# Step 1: Create interval timer trigger
print("\n[1/5] Creating interval timer trigger...")
trigger = create_interval_timer(
client=client,
interval_seconds=interval_seconds,
pack_ref=pack_ref,
)
print(f"✓ Created trigger: {trigger['label']} (ID: {trigger['id']})")
assert trigger["ref"] == "core.intervaltimer"
assert "sensor" in trigger
assert trigger["sensor"]["enabled"] is True
# Step 2: Create echo action
print("\n[2/5] Creating echo action...")
action = create_echo_action(client=client, pack_ref=pack_ref)
action_ref = action["ref"]
print(f"✓ Created action: {action_ref} (ID: {action['id']})")
# Step 3: Create rule linking trigger → action
print("\n[3/5] Creating rule...")
# Capture timestamp before rule creation for filtering
import time
from datetime import datetime, timezone
rule_creation_time = datetime.now(timezone.utc).isoformat()
rule = create_rule(
client=client,
trigger_id=trigger["id"],
action_ref=action_ref,
pack_ref=pack_ref,
enabled=True,
action_parameters={
"message": f"Timer fired at interval {interval_seconds}s"
},
)
print(f"✓ Created rule: {rule['label']} (ID: {rule['id']})")
print(f" Rule creation timestamp: {rule_creation_time}")
assert rule["enabled"] is True
assert rule["trigger"] == trigger["id"]
assert rule["action_ref"] == action_ref
# Step 4: Wait for events to be created
print(
f"\n[4/5] Waiting for {expected_executions} timer events (timeout: {test_duration}s)..."
)
start_time = time.time()
events = wait_for_event_count(
client=client,
expected_count=expected_executions,
trigger_id=trigger["id"],
timeout=test_duration,
poll_interval=1.0,
)
elapsed = time.time() - start_time
print(f"{len(events)} events created in {elapsed:.1f}s")
# Sort events by created timestamp (ascending order - oldest first)
events_sorted = sorted(events[:expected_executions], key=lambda e: e["created"])
# Verify event timing
event_times = []
for i, event in enumerate(events_sorted):
print(f" Event {i + 1}: ID={event['id']}, trigger={event['trigger']}")
assert event["trigger"] == trigger["id"]
event_times.append(event["created"])
# Check event intervals (if we have multiple events)
if len(event_times) >= 2:
from datetime import datetime
for i in range(1, len(event_times)):
t1 = datetime.fromisoformat(event_times[i - 1].replace("Z", "+00:00"))
t2 = datetime.fromisoformat(event_times[i].replace("Z", "+00:00"))
interval = (t2 - t1).total_seconds()
print(
f" Interval {i}: {interval:.1f}s (expected: {interval_seconds}s)"
)
# Allow ±1 second tolerance for timing
assert abs(interval - interval_seconds) < 1.5, (
f"Event interval {interval:.1f}s outside tolerance (expected {interval_seconds}s ±1.5s)"
)
# Step 5: Verify executions completed successfully
print(f"\n[5/5] Verifying {expected_executions} executions completed...")
executions = wait_for_execution_count(
client=client,
expected_count=expected_executions,
rule_id=rule["id"],
created_after=rule_creation_time,
timeout=30,
poll_interval=1.0,
verbose=True,
)
print(f"{len(executions)} executions created")
# Verify each execution
succeeded_count = 0
for i, execution in enumerate(executions[:expected_executions]):
exec_id = execution["id"]
status = execution["status"]
print(f"\n Execution {i + 1} (ID: {exec_id}):")
print(f" Status: {status}")
print(f" Action: {execution['action_ref']}")
# Wait for execution to complete if still running
if status not in ["succeeded", "failed", "canceled"]:
print(f" Waiting for completion...")
execution = wait_for_execution_status(
client=client,
execution_id=exec_id,
expected_status="succeeded",
timeout=15,
)
status = execution["status"]
print(f" Final status: {status}")
# Verify execution succeeded
assert status == "succeeded", (
f"Execution {exec_id} failed with status '{status}'"
)
# Verify execution has correct action
assert execution["action_ref"] == action_ref
# Verify execution has result
if execution.get("result"):
print(f" Result: {execution['result']}")
succeeded_count += 1
print(f"\n✓ All {succeeded_count} executions succeeded")
# Final verification
print("\n=== Test Summary ===")
print(f"✓ Trigger created and firing every {interval_seconds}s")
print(f"{len(events)} events generated")
print(f"{succeeded_count} executions completed successfully")
print(f"✓ Total test duration: {time.time() - start_time:.1f}s")
print(f"✓ Test PASSED")
def test_interval_timer_precision(self, client: AttuneClient, pack_ref: str):
"""Test that interval timer fires with acceptable precision"""
# Use shorter interval for precision test
interval_seconds = 3
expected_fires = 5
test_duration = interval_seconds * expected_fires + 3
print(f"\n=== T1.1b: Interval Timer Precision ===")
print(f"Testing {interval_seconds}s interval over {expected_fires} fires")
# Create automation
trigger = create_interval_timer(
client=client, interval_seconds=interval_seconds, pack_ref=pack_ref
)
action = create_echo_action(client=client, pack_ref=pack_ref)
rule = create_rule(
client=client,
trigger_id=trigger["id"],
action_ref=action["ref"],
pack_ref=pack_ref,
)
print(f"✓ Setup complete: trigger={trigger['id']}, action={action['ref']}")
# Record event times
print(f"\nWaiting for {expected_fires} events...")
events = wait_for_event_count(
client=client,
expected_count=expected_fires,
trigger_id=trigger["id"],
timeout=test_duration,
poll_interval=0.5,
)
# Calculate intervals
from datetime import datetime
event_times = [
datetime.fromisoformat(e["created"].replace("Z", "+00:00"))
for e in events[:expected_fires]
]
intervals = []
for i in range(1, len(event_times)):
interval = (event_times[i] - event_times[i - 1]).total_seconds()
intervals.append(interval)
print(f" Interval {i}: {interval:.2f}s")
# Calculate statistics
if intervals:
avg_interval = sum(intervals) / len(intervals)
min_interval = min(intervals)
max_interval = max(intervals)
print(f"\nInterval Statistics:")
print(f" Expected: {interval_seconds}s")
print(f" Average: {avg_interval:.2f}s")
print(f" Min: {min_interval:.2f}s")
print(f" Max: {max_interval:.2f}s")
print(f" Range: {max_interval - min_interval:.2f}s")
# Verify precision
# Allow ±1 second tolerance
tolerance = 1.0
assert abs(avg_interval - interval_seconds) < tolerance, (
f"Average interval {avg_interval:.2f}s outside tolerance"
)
print(f"\n✓ Timer precision within ±{tolerance}s tolerance")
print(f"✓ Test PASSED")