chore: add .hypothesis to .gitignore and commit remaining modified files

.gitignore

@@ -37,3 +37,4 @@ traceback.log
 htmlcov/
 .coverage
 coverage.xml
+.hypothesis/

GramAddict/core/behaviors/obstacle_guard.py

@@ -46,7 +46,7 @@ class ObstacleGuardPlugin(BehaviorPlugin):
         if situation == SituationType.OBSTACLE_MODAL:
             if misses >= 2:
                 logger.error("🛑 [ObstacleGuard] Failed to recover from OBSTACLE_MODAL after multiple attempts.")
-                sae.unlearn_current_state()
+                sae.unlearn_current_state(xml)
                 dump_ui_state(ctx.device, f"fatal_obstacle_{ctx.session_state.job_target}")
                 return BehaviorResult(executed=True, should_skip=True, metadata={"return_code": "CONTEXT_LOST"})
 

GramAddict/core/behaviors/resonance_evaluator.py

@@ -49,7 +49,8 @@ class ResonanceEvaluatorPlugin(BehaviorPlugin):
             tele = ctx.cognitive_stack.get("telepathic")
             if tele:
                 logger.info("✨ [Resonance] Performing visual vibe check...")
-                vibe = tele.evaluate_post_vibe()
+                persona_interests = getattr(ctx.configs.args, "persona_interests", [])
+                vibe = tele.evaluate_post_vibe(ctx.device, persona_interests)
                 vibe_score = vibe.get("quality_score", 5) / 10.0
                 if vibe.get("matches_niche"):
                     vibe_score = min(1.0, vibe_score + 0.2)

GramAddict/core/stealth_typing.py

@@ -5,7 +5,7 @@ from time import sleep
 logger = logging.getLogger(__name__)
 
 
-def ghost_type(device, text: str):
+def ghost_type(device, text: str, speed: str = "normal"):
     """
     Tesla Stealth Ghost Keyboard.
     Bypasses UIAutomator virtual IME completely and sends raw Native InputEvents.
@@ -48,6 +48,10 @@ def ghost_type(device, text: str):
         else:
             _adb_inject_text(device, chunk)
 
+        if speed == "fast":
+            sleep(random.uniform(0.01, 0.05))
+            continue
+
         # Realistic pause between semantic bursts (humans think while typing)
         if chunk.endswith((" ", ".", ",", "!", "?")):
             sleep(random.uniform(0.2, 0.5))

test_config.yml

@@ -93,7 +93,7 @@ limits:
   speed_multiplier: 1.0
 
 # ── Infrastructure & System ──
-device: 192.168.1.206:40505
+device: 192.168.1.206:36369
 app-id: com.instagram.android
 debug: true
 blank_start: true

tests/integration/test_dm_loop.py

@@ -58,7 +58,7 @@ def test_dm_engine_basic_loop(dm_mock_dependencies):
     with (
         patch("GramAddict.core.bot_flow.sleep"),
         patch("GramAddict.core.bot_flow._humanized_click") as mock_click,
-        patch("GramAddict.core.stealth_typing.ghost_type") as mock_ghost_type,
+        patch("GramAddict.core.stealth_typing.ghost_type", autospec=True) as mock_ghost_type,
         patch("GramAddict.core.llm_provider.query_llm", return_value={"response": "I am good, thanks!"}),
     ):
         res = _run_zero_latency_dm_loop(

tests/unit/behaviors/test_obstacle_guard.py

@@ -1,4 +1,4 @@
-from unittest.mock import MagicMock, patch
+from unittest.mock import MagicMock, create_autospec, patch
 
 import pytest
 
@@ -102,11 +102,14 @@ class TestObstacleGuardPlugin:
     @patch("GramAddict.core.behaviors.obstacle_guard.dump_ui_state")
     @patch("GramAddict.core.behaviors.obstacle_guard.SituationalAwarenessEngine")
     def test_execute_obstacle_miss_3_abort(self, mock_sae, mock_dump, obstacle_guard, mock_context):
-        mock_instance = MagicMock()
+        from GramAddict.core.situational_awareness import SituationalAwarenessEngine
+
+        mock_instance = create_autospec(SituationalAwarenessEngine, instance=True)
         mock_instance.perceive.return_value = SituationType.OBSTACLE_MODAL
         mock_sae.get_instance.return_value = mock_instance
 
-        mock_context.device.dump_hierarchy.return_value = "<xml>dummy</xml>"
+        xml_content = "<xml>dummy</xml>"
+        mock_context.device.dump_hierarchy.return_value = xml_content
         mock_context.device.get_info.return_value = {"displayWidth": 1080, "displayHeight": 2400}
         mock_context.shared_state["consecutive_marker_misses"] = 2
         mock_context.session_state.job_target = "Feed"
@@ -115,5 +118,5 @@ class TestObstacleGuardPlugin:
 
         assert result.executed is True
         assert result.metadata.get("return_code") == "CONTEXT_LOST"
-        mock_instance.unlearn_current_state.assert_called_once()
+        mock_instance.unlearn_current_state.assert_called_once_with(xml_content)
         mock_dump.assert_called_once()

tests/unit/behaviors/test_resonance_evaluator.py

@@ -1,4 +1,5 @@
-from unittest.mock import MagicMock, patch
+from unittest import mock
+from unittest.mock import MagicMock, create_autospec, patch
 
 import pytest
 
@@ -63,10 +64,12 @@ class TestResonanceEvaluatorPlugin:
     @patch("GramAddict.core.behaviors.resonance_evaluator.humanized_scroll")
     @patch("GramAddict.core.behaviors.resonance_evaluator.sleep")
     def test_execute_visual_vibe_check(self, mock_sleep, mock_scroll, resonance_evaluator, mock_context):
+        from GramAddict.core.telepathic_engine import TelepathicEngine
+
         mock_context.configs.args.visual_vibe_check_percentage = 100
         mock_context.cognitive_stack["resonance"].calculate_resonance.return_value = 0.5
 
-        mock_tele = MagicMock()
+        mock_tele = create_autospec(TelepathicEngine, instance=True)
         mock_tele.evaluate_post_vibe.return_value = {"quality_score": 10, "matches_niche": True}
         mock_context.cognitive_stack["telepathic"] = mock_tele
 
@@ -77,4 +80,4 @@ class TestResonanceEvaluatorPlugin:
         assert result.should_skip is False
         # res_score = 0.5 * 0.3 + 1.0 * 0.7 = 0.15 + 0.70 = 0.85
         assert round(mock_context.shared_state["res_score"], 2) == 0.85
-        mock_tele.evaluate_post_vibe.assert_called_once()
+        mock_tele.evaluate_post_vibe.assert_called_once_with(mock_context.device, mock.ANY)