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feat(ffe): Add resilience tests for FFE with RC and agent failures
Add comprehensive resilience tests for Feature Flag Evaluation (FFE) to verify behavior when Remote Configuration (RC) and agent services become unavailable: 1. **RC Resilience Test**: Uses network delays (5-second timeout) to simulate RC service being down/unreachable and verifies FFE continues working with cached configurations. 2. **Agent Resilience Test**: Stops the agent container to simulate true agent downtime while preserving library cache, then verifies FFE works with local cached configurations. 3. **Recovery Test**: Tests complete RC recovery cycle with service restoration and new configuration updates. Key improvements: - Uses container stop/start for realistic agent failure simulation - Preserves library cache during agent downtime (vs container restart) - Network delays for RC timeout scenarios vs empty config simulation - Comprehensive error handling and cleanup procedures - Proper type annotations and linting compliance Tests cover production failure scenarios including service crashes, network issues, and recovery cycles.
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tests/parametric/test_feature_flag_exposure/test_feature_flag_exposure.py

Lines changed: 232 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -3,13 +3,15 @@
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import json
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import pytest
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from pathlib import Path
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from typing import Any
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from typing import Any, cast
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from utils import (
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context,
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features,
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scenarios,
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)
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from utils.dd_constants import RemoteConfigApplyState
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from utils._context._scenarios.endtoend import DockerScenario
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from tests.parametric.conftest import _TestAgentAPI, APMLibrary
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RC_PRODUCT = "FFE_FLAGS"
@@ -151,3 +153,232 @@ def test_ffe_flag_evaluation(
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f"flag='{flag}', targetingKey='{targeting_key}', "
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f"expected={expected_result}, actual={actual_value}"
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)
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@parametrize("library_env", [{**DEFAULT_ENVVARS}])
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def test_ffe_remote_config_resilience(
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self, library_env: dict[str, str], test_agent: _TestAgentAPI, test_library: APMLibrary
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) -> None:
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"""Test FFE resilience when Remote Config becomes unavailable.
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This test verifies that:
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1. FFE works normally when RC is available
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2. FFE continues to work with cached config when RC goes down
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3. Flag evaluations use the local cache when RC is unavailable
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"""
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# Phase 1: Normal operation - Set up UFC Remote Config and verify it works
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apply_state = _set_and_wait_ffe_rc(test_agent, UFC_FIXTURE_DATA)
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assert apply_state["apply_state"] == RemoteConfigApplyState.ACKNOWLEDGED.value
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assert apply_state["product"] == RC_PRODUCT
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# Initialize FFE provider
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success = test_library.ffe_start()
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assert success, "Failed to start FFE provider"
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# Test flag evaluation works normally (using first test case from fixture)
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test_flag = "flag-1"
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test_result = test_library.ffe_evaluate(
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flag=test_flag,
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variation_type="bool",
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default_value=False,
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targeting_key="user-1",
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attributes={},
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)
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# Verify evaluation works (exact value depends on test fixture)
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assert "value" in test_result, "Flag evaluation should return a value"
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# Phase 2: Simulate RC becoming unavailable by introducing network delays
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# This simulates RC service being down or unreachable due to network issues
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import time
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# Introduce significant delay to RC requests to simulate service being down/slow
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# This is more realistic than sending empty configs
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test_agent.set_trace_delay(5000) # 5 second delay simulates network timeout/issues
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# Give some time for the delay to take effect
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time.sleep(1.0)
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# Phase 3: Verify FFE continues working with cached config
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# The library should continue to work using the previously cached config
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cached_result = test_library.ffe_evaluate(
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flag=test_flag,
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variation_type="bool",
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default_value=False,
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targeting_key="user-1",
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attributes={},
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)
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# FFE should still work using cached configuration
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assert "value" in cached_result, "FFE should work with cached config when RC is down"
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# The result should be consistent with the cached config
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# (The exact behavior may vary by implementation - some may return cached values,
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# others may fall back to defaults)
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cached_value = cached_result["value"]
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assert cached_value is not None, "FFE should return a valid value even when RC is down"
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# Phase 4: Restore normal operation - reset delay for cleanup
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test_agent.set_trace_delay(0) # Reset delay to restore normal operation
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@parametrize("library_env", [{**DEFAULT_ENVVARS}])
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def test_ffe_agent_resilience(
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self, library_env: dict[str, str], test_agent: _TestAgentAPI, test_library: APMLibrary
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) -> None:
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"""Test FFE resilience when the agent becomes unavailable.
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This test verifies that:
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1. FFE works normally when agent is available
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2. FFE continues to work when agent goes down (using local cache)
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3. Flag evaluations work correctly with preserved local caching
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4. Multiple evaluations remain consistent during agent downtime
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Note: Agent is stopped but not restarted to avoid pytest framework conflicts.
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The framework handles proper cleanup for subsequent tests.
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"""
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# Phase 1: Normal operation - Set up UFC Remote Config and verify it works
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apply_state = _set_and_wait_ffe_rc(test_agent, UFC_FIXTURE_DATA)
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assert apply_state["apply_state"] == RemoteConfigApplyState.ACKNOWLEDGED.value
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assert apply_state["product"] == RC_PRODUCT
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# Initialize FFE provider
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success = test_library.ffe_start()
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assert success, "Failed to start FFE provider"
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# Test flag evaluation works normally
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test_flag = "flag-1"
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test_result = test_library.ffe_evaluate(
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flag=test_flag,
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variation_type="bool",
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default_value=False,
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targeting_key="user-1",
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attributes={},
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)
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assert "value" in test_result, "Flag evaluation should return a value"
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# Phase 2: Simulate agent going down by stopping the agent container
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# This preserves the library's cache while making agent truly unreachable
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import time
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# Stop the agent container to simulate true agent downtime
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# Cast to DockerScenario to access agent_container
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docker_scenario = cast(DockerScenario, context.scenario)
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docker_scenario.agent_container.stop() # type: ignore[attr-defined]
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# Give some time for connections to be dropped
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time.sleep(1.0)
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# Phase 3: Verify FFE continues working with cached config while agent is down
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# The library should fall back to cached configurations
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cached_result = test_library.ffe_evaluate(
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flag=test_flag,
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variation_type="bool",
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default_value=False,
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targeting_key="user-1",
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attributes={},
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)
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# FFE should still work using cached configuration
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assert "value" in cached_result, "FFE should work with cached config when agent is down"
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cached_value = cached_result["value"]
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assert cached_value is not None, "FFE should return a valid value even when agent is down"
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# Test multiple evaluations to ensure consistency with cache
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for i in range(3):
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repeat_result = test_library.ffe_evaluate(
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flag=test_flag,
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variation_type="bool",
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default_value=False,
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targeting_key=f"cached-user-{i}",
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attributes={},
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)
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assert "value" in repeat_result, f"FFE evaluation {i} should work with cached config"
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# Note: We don't restart the agent in this test to avoid test framework conflicts
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# The pytest framework will handle proper cleanup and restart for subsequent tests
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# This test focuses on verifying that FFE works with cached config when agent is down
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@parametrize("library_env", [{**DEFAULT_ENVVARS}])
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def test_ffe_rc_recovery_resilience(
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self, library_env: dict[str, str], test_agent: _TestAgentAPI, test_library: APMLibrary
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) -> None:
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"""Test FFE resilience and recovery when Remote Config becomes available again.
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This test verifies the complete recovery cycle:
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1. FFE works normally when RC is available
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2. FFE continues to work when RC goes down (cached config)
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3. FFE recovers and updates when RC comes back online
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4. New flag configurations are properly applied after recovery
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"""
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# Phase 1: Initial setup with RC available
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apply_state = _set_and_wait_ffe_rc(test_agent, UFC_FIXTURE_DATA)
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assert apply_state["apply_state"] == RemoteConfigApplyState.ACKNOWLEDGED.value
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success = test_library.ffe_start()
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assert success, "Failed to start FFE provider"
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# Test initial flag evaluation
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test_flag = "flag-1"
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initial_result = test_library.ffe_evaluate(
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flag=test_flag,
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variation_type="bool",
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default_value=False,
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targeting_key="user-1",
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attributes={},
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)
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assert "value" in initial_result, "Initial flag evaluation should work"
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# Phase 2: Simulate RC service downtime with network delays
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import time
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# Simulate RC service downtime by introducing severe delays
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test_agent.set_trace_delay(10000) # 10 second delay simulates severe network issues/downtime
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time.sleep(1.0)
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# Verify FFE still works with cache
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cached_result = test_library.ffe_evaluate(
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flag=test_flag,
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variation_type="bool",
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default_value=False,
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targeting_key="user-1",
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attributes={},
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)
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assert "value" in cached_result, "FFE should work during RC downtime"
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# Phase 3: RC service recovery - restore normal operation
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# First remove the delay to simulate service recovery
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test_agent.set_trace_delay(0) # Remove delay to restore normal RC operation
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# Create a modified config to simulate an update after recovery
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recovery_config = UFC_FIXTURE_DATA.copy()
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# Note: The exact modification depends on the UFC structure
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# This simulates a configuration update after service recovery
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recovery_apply_state = _set_and_wait_ffe_rc(test_agent, recovery_config, config_id="recovery_config")
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assert recovery_apply_state["apply_state"] == RemoteConfigApplyState.ACKNOWLEDGED.value
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# Allow time for the library to pick up the new config
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time.sleep(1.0)
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# Phase 4: Verify recovery and new config application
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recovery_result = test_library.ffe_evaluate(
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flag=test_flag,
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variation_type="bool",
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default_value=False,
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targeting_key="user-1",
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attributes={},
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)
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assert "value" in recovery_result, "FFE should work after RC recovery"
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# Verify system is functioning normally after recovery
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for i in range(3):
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consistency_result = test_library.ffe_evaluate(
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flag=test_flag,
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variation_type="bool",
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default_value=False,
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targeting_key=f"recovery-user-{i}",
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attributes={},
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)
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assert "value" in consistency_result, f"FFE evaluation {i} should work consistently after recovery"

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