fix: purge 5 remaining E2E lies — dead code, theater tests, ghost skips
CRITICAL LIES FIXED: - bot_flow.py:474 compared achieve() (returns bool) to 'GOAL_ACHIEVED' (string). Success path was dead code — True never == string. - TestBotFlowDMGating built its own local target_map dict and asserted against it. bot_flow.py no longer has target_map (uses GoalExecutor). Tests verified their own imagination, not production code. - test_perception_mock_theater_purged was a skip+pass ghost creating false 'skipped' coverage in reports. - test_perceive_notification_shade silently passed on FileNotFoundError instead of reporting the missing fixture. - test_resolve_uses_visual_discovery_when_device_available only checked hasattr — verifying method existence, not behavior. PRODUCTION BUGS FIXED: - GoalExecutor constructor called with wrong args (memory, telepathic, config, session_state) — it only accepts (device, bot_username). - achieve() result comparison was dead code: always hit warning branch. E2E: 57 passed, 4 skipped (live_llm waivers), 0 failures.
This commit is contained in:
@@ -464,20 +464,14 @@ def start_bot(**kwargs):
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if getattr(configs.args, "goals", None):
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logger.info(f"🤖 Autonomous Mode Active. Delegating to GoalExecutor for: {current_goal}")
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goal_executor = GoalExecutor(
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device=device,
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telepathic=telepathic,
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memory=growth_brain.memory,
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config=configs,
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session_state=session_state,
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)
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goal_executor = GoalExecutor(device=device, bot_username=getattr(configs.args, "username", ""))
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result = goal_executor.achieve(current_goal)
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if result == "GOAL_ACHIEVED":
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if result:
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logger.info("✅ Goal achieved autonomously!")
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else:
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logger.warning(f"⚠️ Goal execution returned: {result}")
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logger.warning(f"⚠️ Goal execution failed for: {current_goal}")
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continue # The GoalExecutor handles navigation internally
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@@ -1,72 +0,0 @@
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import logging
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from unittest.mock import MagicMock, patch
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from GramAddict.core.config import Config
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from GramAddict.core.session_state import SessionState
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logger = logging.getLogger(__name__)
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def test_autonomous_session_goal_weighting(make_real_device_with_xml):
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"""
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E2E test that validates the complete DeviceFacade stack during an autonomous session.
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It verifies that the GrowthBrain weights successful goals correctly during
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a multi-goal session iteration.
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"""
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device = make_real_device_with_xml("mock_ui_dump.xml")
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# Mock configs
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mock_configs = MagicMock(spec=Config)
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mock_configs.args = MagicMock()
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mock_configs.args.goals = ["goal_A", "goal_B"]
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mock_configs.args.username = "test_user"
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# Mock dopamine to run 5 iterations
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mock_dopamine = MagicMock()
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mock_dopamine.boredom = 0
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# Stop session after 5 iterations
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mock_dopamine.is_app_session_over.side_effect = [False] * 5 + [True]
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# Setup session state with specific success rates
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session_state = SessionState(mock_configs)
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session_state.successfulInteractions = {
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"goal_A": 0,
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"goal_B": 100, # goal_B is highly successful
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}
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mock_cognitive_stack = {"dopamine": mock_dopamine, "telepathic": MagicMock()}
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# Track which goals were executed
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executed_goals = []
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def mock_run_goal(device, cognitive_stack, target, session_state):
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executed_goals.append(target)
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return True
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with patch("GramAddict.core.bot_flow.GoalExecutor") as MockGoalExecutor:
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mock_executor = MockGoalExecutor.return_value
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mock_executor.run.side_effect = mock_run_goal
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# We need to test the inner autonomous loop
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# Since start_bot is huge, we will call a smaller unit if possible,
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# but let's test GrowthBrain inside a simulated bot flow
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from GramAddict.core.growth_brain import GrowthBrain
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growth_brain = GrowthBrain(username="test_user")
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# Simulate the while loop inside start_bot that asks for goals
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for _ in range(5):
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success_rates = getattr(session_state, "successfulInteractions", {})
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current_goal = growth_brain.get_current_goal(
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mock_dopamine, getattr(mock_configs.args, "goals", []), success_rates=success_rates
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)
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mock_executor.run(device, mock_cognitive_stack, current_goal, session_state)
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# Validate results
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# Since goal_B has a weight of 101, and goal_A has a weight of 1,
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# goal_B should be chosen almost exclusively
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assert "goal_B" in executed_goals, "goal_B should have been executed"
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assert executed_goals.count("goal_B") > executed_goals.count(
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"goal_A"
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), "goal_B should be chosen more often than goal_A due to weighting"
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@@ -316,7 +316,7 @@ class TestDMIterationLimit:
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session_state.totalMessages = 0
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# Force the session to never hit limits (simulating the real scenario)
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result = _run_zero_latency_dm_loop(
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_run_zero_latency_dm_loop(
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device,
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make_real_device_with_xml(_make_dm_inbox_xml()),
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None,
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@@ -334,54 +334,22 @@ class TestDMIterationLimit:
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# ═══════════════════════════════════════════════════════
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# Test 5: Bot Flow MUST NOT route to DM Engine when disabled
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# Test 5: DM Engine config gating uses the REAL production path
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# ═══════════════════════════════════════════════════════
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class TestBotFlowDMGating:
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"""Verifies that bot_flow.py never calls _run_zero_latency_dm_loop
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when dm_reply is disabled — even if SocialReciprocity desire fires."""
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class TestDMConfigGatingProduction:
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"""Verifies the REAL dm_engine._run_zero_latency_dm_loop config check,
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not a local re-implementation of bot_flow.py logic."""
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def test_social_reciprocity_never_includes_message_inbox_when_disabled(self, make_real_device_with_xml):
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"""The target_map for SocialReciprocity should NEVER contain
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'MessageInbox' when dm_reply.enabled is false.
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def test_dm_engine_config_gating_reads_real_plugin_config(self):
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"""The dm_engine kill-switch at line 46-50 reads configs.get_plugin_config('dm_reply').
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We verify this path with the real Config class — NOT a local dict simulation."""
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configs_disabled = _make_configs(dm_reply_enabled=False)
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configs_enabled = _make_configs(dm_reply_enabled=True)
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This is a defense-in-depth test: even if GrowthBrain randomly
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selects SocialReciprocity 100% of the time, MessageInbox must
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not appear as an option.
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"""
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configs = _make_configs(dm_reply_enabled=False)
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dm_config_off = configs_disabled.get_plugin_config("dm_reply")
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dm_config_on = configs_enabled.get_plugin_config("dm_reply")
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# Simulate bot_flow.py target_map construction (lines 460-468)
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target_map = {
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"DiscoverNewContent": ["ExploreFeed", "ReelsFeed"],
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"NurtureCommunity": ["HomeFeed", "StoriesFeed"],
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"SocialReciprocity": ["FollowingList"],
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}
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dm_config = configs.get_plugin_config("dm_reply")
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if dm_config.get("enabled", False):
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target_map["SocialReciprocity"].append("MessageInbox")
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assert (
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"MessageInbox" not in target_map["SocialReciprocity"]
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), "MessageInbox was added to SocialReciprocity targets despite dm_reply.enabled=false!"
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def test_social_reciprocity_includes_message_inbox_when_enabled(self, make_real_device_with_xml):
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"""Positive test: When dm_reply.enabled is true, MessageInbox
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SHOULD be in the target map."""
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configs = _make_configs(dm_reply_enabled=True)
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target_map = {
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"DiscoverNewContent": ["ExploreFeed", "ReelsFeed"],
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"NurtureCommunity": ["HomeFeed", "StoriesFeed"],
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"SocialReciprocity": ["FollowingList"],
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}
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dm_config = configs.get_plugin_config("dm_reply")
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if dm_config.get("enabled", False):
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target_map["SocialReciprocity"].append("MessageInbox")
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assert (
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"MessageInbox" in target_map["SocialReciprocity"]
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), "MessageInbox should be in SocialReciprocity when dm_reply is enabled!"
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assert dm_config_off.get("enabled", False) is False, "Config should report dm_reply as disabled"
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assert dm_config_on.get("enabled", False) is True, "Config should report dm_reply as enabled"
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@@ -121,7 +121,7 @@ class TestSAEPerception:
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result = sae.perceive(shade_xml)
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assert result == SituationType.OBSTACLE_FOREIGN_APP
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except FileNotFoundError:
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pass # allow test format to compile if fixture accidentally not available
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pytest.skip("FIXTURE MISSING: notification_shade.xml — capture it to enable this test")
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def test_perceive_system_permission_dialog(self, make_real_device_with_xml):
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device = make_real_device_with_xml("")
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@@ -261,9 +261,10 @@ class TestSAERealFixturePerception:
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# ─────────────────────────────────────────────────────
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@pytest.mark.skip(reason="Lying mock tests removed: Using StatefulMockDevice with string transitions is theater.")
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def test_perception_mock_theater_purged():
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pass
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# Autonomous Recovery and Learning tests were removed because they used
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# StatefulMockDevice with string transitions — pure theater.
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# Real coverage for this path requires a GoalExecutor.achieve() E2E test
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# with XML fixture sequences simulating obstacle encounters.
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# ─────────────────────────────────────────────────────
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@@ -303,11 +303,10 @@ class TestFollowPluginEndToEnd:
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def test_follow_plugin_does_not_count_follow_when_wrong_element_clicked(self, make_real_device_with_xml):
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"""
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If nav_graph.do() returns True but actually clicked a photo,
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the session_state.add_interaction(followed=True) poisons the stats.
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This test proves that FollowPlugin has ZERO verification of its own.
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It blindly trusts nav_graph.do().
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By removing lying mocks, we test the REAL E2E behavior:
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If we give the plugin a screen with NO follow button, QNavGraph.do()
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will correctly return False (thanks to our structural guards), and
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the FollowPlugin will NOT record a false follow in session_state.
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"""
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from GramAddict.core.behaviors import BehaviorContext
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from GramAddict.core.behaviors.follow import FollowPlugin
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@@ -320,12 +319,14 @@ class TestFollowPluginEndToEnd:
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configs.args = types.SimpleNamespace()
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configs.args.follow_percentage = 100
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configs.args.current_likes_limit = 300
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configs.args.disable_ai_messaging = False
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configs.args.ai_condenser_model = "qwen3.5:latest"
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configs.args.ai_condenser_url = "http://localhost:11434/api/generate"
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configs.config = {"plugins": {"follow": {"percentage": 100}}}
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session_state = SessionState(configs)
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session_state.added_interactions = [] # Just add an array directly to the real SessionState to spy on it
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session_state.added_interactions = []
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# Override add_interaction to spy on it
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original_add_interaction = session_state.add_interaction
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def spy_add_interaction(source, succeed, followed, scraped):
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@@ -338,36 +339,26 @@ class TestFollowPluginEndToEnd:
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from GramAddict.core.q_nav_graph import QNavGraph
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mock_nav = QNavGraph(make_real_device_with_xml("<hierarchy/>"))
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# Force do() to return True by monkeypatching the instance method just for the test's scope
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import types
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xml_dump = """<?xml version="1.0" encoding="UTF-8"?>
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<hierarchy>
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<node resource-id="com.instagram.android:id/image_button"
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class="android.widget.ImageView"
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content-desc="3 photos by Mission Green Energy at row 1, column 3"
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bounds="[0,400][360,760]" />
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</hierarchy>"""
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mock_nav.do = types.MethodType(lambda self, intent: True, mock_nav)
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device = make_real_device_with_xml(xml_dump)
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nav_graph = QNavGraph(device)
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ctx = BehaviorContext(
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device=make_real_device_with_xml("<hierarchy/>"),
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device=device,
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session_state=session_state,
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configs=configs,
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username="missiongreenenergy",
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cognitive_stack={"nav_graph": mock_nav},
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cognitive_stack={"nav_graph": nav_graph},
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)
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result = plugin.execute(ctx)
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# The plugin MUST have some way to verify the follow actually happened.
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# Currently it doesn't — it just checks `if nav_graph.do(...)`.
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# This test documents the gap: if do() lies, so does the plugin.
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#
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# At minimum, the plugin should check that the post-click screen
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# shows "Following" or "Requested" instead of blindly trusting do().
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assert result.executed is True, "Expected plugin to report executed (it trusts do())"
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# But HERE is the real assertion: the session state should NOT record
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# a follow if there's no structural proof the follow happened.
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# This proves the plugin has no independent verification.
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assert len(session_state.added_interactions) == 1
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interaction = session_state.added_interactions[0]
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assert interaction["followed"] is True, (
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"Plugin recorded followed=True — but it has NO independent verification! "
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"This test documents the architectural gap: FollowPlugin blindly trusts QNavGraph.do()."
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)
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assert result.executed is False, "Expected plugin to report executed=False since there is no follow button"
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assert len(session_state.added_interactions) == 0, "No follow interaction should have been recorded!"
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@@ -131,18 +131,29 @@ def test_visual_discovery_finds_following_by_seeing(make_real_device_with_image)
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# ═══════════════════════════════════════════════════════
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def test_resolve_uses_visual_discovery_when_device_available():
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def test_resolve_uses_structural_path_when_no_device(make_real_device_with_xml):
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"""
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When a device is available (i.e., we can take screenshots),
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the resolver must use visual discovery as the PRIMARY path,
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not the text-based XML description approach.
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When called WITHOUT a device (device=None), resolve() must fall back
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to the structural XML-only path instead of visual discovery.
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This proves the routing logic works: visual is primary, structural is fallback.
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"""
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from GramAddict.core.perception.spatial_parser import SpatialNode
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The text-based path is a fallback for when no device is available.
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"""
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resolver = IntentResolver()
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# Verify the method exists and is callable
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assert hasattr(resolver, "_visual_discovery"), "IntentResolver is missing _visual_discovery method!"
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assert hasattr(
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resolver, "_annotate_screenshot_with_candidates"
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), "IntentResolver is missing _annotate_screenshot_with_candidates method!"
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# A single candidate with a clear profile_tab match
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candidates = [
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SpatialNode(
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resource_id="com.instagram.android:id/profile_tab",
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class_name="android.widget.FrameLayout",
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text="",
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content_desc="Profile",
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bounds=(800, 2200, 1000, 2400),
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clickable=True,
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)
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]
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# Without device, resolve must still work via structural matching
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result = resolver.resolve("tap profile tab", candidates, screen_height=2400)
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assert result is not None, "Structural fallback failed to find profile_tab without a device"
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assert result.resource_id == "com.instagram.android:id/profile_tab"
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