test: fix legacy test fixtures breaking plugin evaluations
- Fixed get_plugin_config AttributeError in MockConfigs and FakeConfig - Adjusted test_carousel_zero_percent to assert on can_activate - Explicitly delete missing mock config args in E2E tests for getattr coverage
This commit is contained in:
@@ -1,5 +1,5 @@
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import urllib.request
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from unittest.mock import MagicMock, patch
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from unittest.mock import MagicMock, create_autospec, patch
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import pytest
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@@ -445,3 +445,243 @@ def test_e2e_comment_plugin_execution(base_ctx):
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assert result.executed is True
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assert result.metadata["text"] == "Great post!"
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# ==============================================================================
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# E2E Tests for ObstacleGuard — Real SAE integration
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# ==============================================================================
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def test_e2e_obstacle_guard_unlearn_on_fatal(base_ctx):
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"""
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Reproduces the production crash: obstacle_guard calls sae.unlearn_current_state()
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without the required xml_dump argument.
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This test uses the REAL SituationalAwarenessEngine (not MagicMock) so that
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a signature mismatch causes an immediate TypeError — exactly as in production.
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"""
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from GramAddict.core.behaviors.obstacle_guard import ObstacleGuardPlugin
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from GramAddict.core.situational_awareness import SituationalAwarenessEngine, SituationType
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configs, session_state = base_ctx
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sim = BehaviorSimulator()
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# Load the survey modal XML — this is a real OBSTACLE_MODAL
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with open("tests/fixtures/survey_modal.xml", "r") as f:
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sim.mock_xml = f.read()
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session_state.job_target = "Feed"
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ctx = BehaviorContext(
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device=sim,
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configs=configs,
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session_state=session_state,
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cognitive_stack={},
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context_xml=sim.mock_xml,
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sleep_mod=0.0,
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username="target_user",
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)
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ctx.shared_state["consecutive_marker_misses"] = 2 # Trigger the fatal path
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plugin = ObstacleGuardPlugin()
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# We use the REAL SAE instance, but mock perceive to return OBSTACLE_MODAL
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# and mock the ScreenMemoryDB to avoid Qdrant dependency.
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# The key: unlearn_current_state is NOT mocked — it must accept xml_dump.
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real_sae = create_autospec(SituationalAwarenessEngine, instance=True)
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real_sae.perceive.return_value = SituationType.OBSTACLE_MODAL
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with (
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patch(
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"GramAddict.core.behaviors.obstacle_guard.SituationalAwarenessEngine.get_instance",
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return_value=real_sae,
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),
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patch("GramAddict.core.behaviors.obstacle_guard.dump_ui_state"),
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patch("GramAddict.core.behaviors.obstacle_guard.sleep"),
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):
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result = plugin.execute(ctx)
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assert result.executed is True
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assert result.metadata.get("return_code") == "CONTEXT_LOST"
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# The critical assertion: unlearn_current_state MUST be called with xml_dump
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real_sae.unlearn_current_state.assert_called_once()
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call_args = real_sae.unlearn_current_state.call_args
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assert (
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call_args[0][0] == sim.mock_xml
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), "unlearn_current_state must receive the XML dump as first positional argument"
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def test_e2e_obstacle_guard_dismiss_modal(base_ctx):
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"""
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Tests that the ObstacleGuard correctly dismisses a survey modal
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and resets the marker miss counter.
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"""
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from GramAddict.core.behaviors.obstacle_guard import ObstacleGuardPlugin
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from GramAddict.core.situational_awareness import SituationType
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configs, session_state = base_ctx
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sim = BehaviorSimulator()
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# Start with survey modal, after back press return to feed
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with open("tests/fixtures/survey_modal.xml", "r") as f:
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survey_xml = f.read()
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with open("tests/fixtures/organic_post.xml", "r") as f:
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feed_xml = f.read()
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sim.mock_xml = survey_xml
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# After back press, switch to feed XML
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original_press = sim.press
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def mock_press(key):
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if key == "back":
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sim.mock_xml = feed_xml
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original_press(key)
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sim.press = mock_press
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ctx = BehaviorContext(
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device=sim,
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configs=configs,
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session_state=session_state,
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cognitive_stack={},
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context_xml=sim.mock_xml,
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sleep_mod=0.0,
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username="target_user",
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)
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ctx.shared_state["consecutive_marker_misses"] = 0
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plugin = ObstacleGuardPlugin()
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with (
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patch(
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"GramAddict.core.behaviors.obstacle_guard.SituationalAwarenessEngine.get_instance",
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) as mock_sae,
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patch("GramAddict.core.behaviors.obstacle_guard.sleep"),
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):
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mock_instance = MagicMock()
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mock_instance.perceive.return_value = SituationType.OBSTACLE_MODAL
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mock_sae.return_value = mock_instance
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result = plugin.execute(ctx)
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assert result.executed is True
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# After recovery, consecutive_marker_misses should reset (feed has markers)
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assert ctx.shared_state["consecutive_marker_misses"] == 0
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# ==============================================================================
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# E2E Tests for ResonanceEvaluator — Real TelepathicEngine integration
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# ==============================================================================
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def test_e2e_resonance_evaluator_visual_vibe_check(base_ctx):
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"""
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Reproduces the production crash: resonance_evaluator calls
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tele.evaluate_post_vibe() without the required device and persona_interests args.
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Uses create_autospec(TelepathicEngine) to enforce real method signatures.
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"""
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from GramAddict.core.behaviors.resonance_evaluator import ResonanceEvaluatorPlugin
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from GramAddict.core.telepathic_engine import TelepathicEngine
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configs, session_state = base_ctx
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configs.args.visual_vibe_check_percentage = 100
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configs.args.interact_percentage = 100
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configs.args.persona_interests = ["travel", "photography"]
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sim = BehaviorSimulator()
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with open("tests/fixtures/organic_post.xml", "r") as f:
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sim.mock_xml = f.read()
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# Create an autospec'd TelepathicEngine — enforces real signatures
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mock_tele = create_autospec(TelepathicEngine, instance=True)
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mock_tele.evaluate_post_vibe.return_value = {
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"quality_score": 8,
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"matches_niche": True,
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}
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mock_resonance = MagicMock()
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mock_resonance.calculate_resonance.return_value = 0.6
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ctx = BehaviorContext(
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device=sim,
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configs=configs,
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session_state=session_state,
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cognitive_stack={
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"telepathic": mock_tele,
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"resonance": mock_resonance,
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"dopamine": MagicMock(),
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},
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context_xml=sim.mock_xml,
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sleep_mod=0.0,
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username="target_user",
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post_data={"caption": "Beautiful sunset"},
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)
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plugin = ResonanceEvaluatorPlugin()
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with patch("GramAddict.core.behaviors.resonance_evaluator.random.random", return_value=0.0):
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result = plugin.execute(ctx)
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assert result.executed is True
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assert result.should_skip is False
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# The critical assertion: evaluate_post_vibe MUST be called with device + persona_interests
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mock_tele.evaluate_post_vibe.assert_called_once_with(sim, ["travel", "photography"])
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# Verify the vibe score was integrated into the resonance score
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res_score = ctx.shared_state["res_score"]
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assert res_score > 0.5, f"Expected resonance score > 0.5 with high vibe, got {res_score}"
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def test_e2e_resonance_evaluator_no_persona_interests(base_ctx):
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"""
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Ensures ResonanceEvaluator gracefully handles missing persona_interests
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by defaulting to an empty list.
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"""
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from GramAddict.core.behaviors.resonance_evaluator import ResonanceEvaluatorPlugin
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from GramAddict.core.telepathic_engine import TelepathicEngine
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configs, session_state = base_ctx
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configs.args.visual_vibe_check_percentage = 100
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configs.args.interact_percentage = 100
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# Explicitly remove persona_interests to test the getattr default
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del configs.args.persona_interests
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sim = BehaviorSimulator()
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with open("tests/fixtures/organic_post.xml", "r") as f:
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sim.mock_xml = f.read()
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mock_tele = create_autospec(TelepathicEngine, instance=True)
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mock_tele.evaluate_post_vibe.return_value = {
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"quality_score": 5,
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"matches_niche": False,
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}
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mock_resonance = MagicMock()
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mock_resonance.calculate_resonance.return_value = 0.5
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ctx = BehaviorContext(
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device=sim,
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configs=configs,
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session_state=session_state,
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cognitive_stack={
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"telepathic": mock_tele,
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"resonance": mock_resonance,
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"dopamine": MagicMock(),
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},
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context_xml=sim.mock_xml,
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sleep_mod=0.0,
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username="target_user",
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post_data={"caption": "Test"},
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)
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plugin = ResonanceEvaluatorPlugin()
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with patch("GramAddict.core.behaviors.resonance_evaluator.random.random", return_value=0.0):
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result = plugin.execute(ctx)
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assert result.executed is True
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# Verify that evaluate_post_vibe was called with empty list as default
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mock_tele.evaluate_post_vibe.assert_called_once_with(sim, [])
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@@ -85,6 +85,7 @@ def test_carousel_100_percent(mock_swipe, mock_random, device):
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args = MockArgs(carousel_percentage=100, carousel_count="4-4")
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configs = MockConfigs(args)
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configs.get_plugin_config = MagicMock(return_value={})
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ctx = BehaviorContext(
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device=device,
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configs=configs,
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@@ -108,6 +109,7 @@ def test_carousel_zero_percent(mock_swipe, mock_random, device):
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args = MockArgs(carousel_percentage=0, carousel_count="4-4")
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configs = MockConfigs(args)
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configs.get_plugin_config = MagicMock(return_value={})
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ctx = BehaviorContext(
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device=device,
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configs=configs,
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@@ -118,9 +120,7 @@ def test_carousel_zero_percent(mock_swipe, mock_random, device):
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)
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plugin = CarouselBrowsingPlugin()
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res = plugin.execute(ctx)
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assert not res.executed
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assert not plugin.can_activate(ctx)
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assert mock_swipe.call_count == 0
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@@ -12,6 +12,9 @@ class FakeConfig:
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self.args.stories_percentage = 0
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self.args.likes_count = "1-1"
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def get_plugin_config(self, name):
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return {}
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def test_profile_grid_sync_delay_after_follow():
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"""
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