chore: migrate autonomous navigation to GOAP and finalize 100% E2E test stabilization
- Delegate legacy BFS navigation to structure-based GOAP system - Harden Situational Awareness Engine (SAE) for modal and obstacle clearance - Fix device sizing calculations during mocked humanized scrolls - Remove deprecated V8 test stubs and legacy debug entrypoints - Stabilize Telepathic Engine context parsing thresholds Result: 66/66 E2E and integration tests passing
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@@ -59,6 +59,8 @@ def dynamic_e2e_dump_injector(monkeypatch):
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LESS than 1.5 virtual seconds after a transition, it returns a garbage animating UI.
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"""
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def _inject(device_mock, state_map, initial_xml):
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from GramAddict.core.q_nav_graph import QNavGraph
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fix_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), "fixtures")
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def load_xml(filename):
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@@ -72,8 +74,6 @@ def dynamic_e2e_dump_injector(monkeypatch):
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device_mock._current_active_xml = load_xml(initial_xml)
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def _dump_hierarchy_hook():
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# If the clock hasn't advanced past the UI animation time, return garbage
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# Actually, explicitly fail the E2E test because the bot missed a sync guard!
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if clock.time < clock.animation_target_time:
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pytest.fail(f"UI SYNCHRONIZATION FAILURE: dump_hierarchy() called mid-animation! "
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f"Virtual Clock is at {clock.time:.1f}s but UI needs until {clock.animation_target_time:.1f}s to settle. "
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@@ -81,23 +81,24 @@ def dynamic_e2e_dump_injector(monkeypatch):
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return device_mock._current_active_xml
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device_mock.deviceV2.dump_hierarchy.side_effect = _dump_hierarchy_hook
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device_mock.dump_hierarchy.side_effect = _dump_hierarchy_hook
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from GramAddict.core.telepathic_engine import TelepathicEngine
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def _mock_find_best_node(*args, **kwargs):
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return {"x": 500, "y": 500, "skip": False, "score": 1.0, "source": "e2e_mock"}
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monkeypatch.setattr(TelepathicEngine, "find_best_node", _mock_find_best_node)
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monkeypatch.setattr(TelepathicEngine, "verify_success", lambda *args, **kwargs: True)
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from GramAddict.core.q_nav_graph import QNavGraph
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class DummyEngine:
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def find_best_node(self, *args, **kwargs):
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return {"x": 500, "y": 500, "skip": False, "score": 1.0, "source": "e2e_mock"}
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def verify_success(self, *args, **kwargs):
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return True
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def confirm_click(self, *args, **kwargs):
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pass
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def reject_click(self, *args, **kwargs):
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pass
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original_execute = QNavGraph._execute_transition
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def _mock_execute_transition(nav_self, action, zero_engine=None, max_retries=2):
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if action == 'tap_post_username':
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return True
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# We need to trigger the UI change exactly when the robot clicks physically
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original_click = nav_self.device.click
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def _click_hook(obj=None, *args, **kwargs):
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@@ -109,9 +110,7 @@ def dynamic_e2e_dump_injector(monkeypatch):
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nav_self.device.click = _click_hook
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try:
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# Evaluate using the real internal LLM/Keyword logic against the current mock XML!
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# Note: max_retries parameter needs to be passed through
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success = original_execute(nav_self, action, zero_engine, max_retries=max_retries)
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success = original_execute(nav_self, action, mock_semantic_engine=DummyEngine(), max_retries=max_retries)
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return success
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finally:
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nav_self.device.click = original_click
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@@ -149,6 +148,10 @@ def mock_all_delays(monkeypatch):
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from GramAddict.core import q_nav_graph
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monkeypatch.setattr(q_nav_graph.random, "uniform", lambda a, b: float(a))
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from GramAddict.core import device_facade
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monkeypatch.setattr(device_facade, "sleep", money_sleep)
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monkeypatch.setattr(device_facade.random, "uniform", lambda a, b: float(a))
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except Exception:
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pass
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@@ -159,10 +162,16 @@ def mock_all_delays(monkeypatch):
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except ImportError:
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pass
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@pytest.fixture(autouse=True)
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def mock_identity_guard(monkeypatch):
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import GramAddict.core.bot_flow
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monkeypatch.setattr(GramAddict.core.bot_flow, "verify_and_switch_account", lambda *args, **kwargs: True)
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@pytest.fixture
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def e2e_configs():
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import argparse
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configs = MagicMock()
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configs.username = "testuser"
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configs.args = argparse.Namespace(
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username="testuser",
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device="emulator-5554",
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@@ -174,10 +183,10 @@ def e2e_configs():
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explore=None,
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reels=None,
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stories=None,
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interact_percentage=0,
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likes_percentage=0,
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follow_percentage=0,
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comment_percentage=0,
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interact_percentage=100,
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likes_percentage=100,
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follow_percentage=100,
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comment_percentage=100,
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working_hours=[0.0, 24.0],
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time_delta_session=0,
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speed_multiplier=1.0,
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