feat(navigation): complete autonomous integration tests and goal weighting

GramAddict/core/bot_flow.py

@@ -446,7 +446,10 @@ def start_bot(**kwargs):
 
             while not dopamine.is_app_session_over():
                 # 1. Ask the Growth Brain for a Strategic Objective
-                current_goal = growth_brain.get_current_goal(dopamine, getattr(configs.args, "goals", []))
+                success_rates = getattr(session_state, "successfulInteractions", {})
+                current_goal = growth_brain.get_current_goal(
+                    dopamine, getattr(configs.args, "goals", []), success_rates=success_rates
+                )
 
                 if current_goal == "ShiftContext":
                     logger.info("🧠 [Free Will] Boredom critical. Forcing app restart to clear context.")

GramAddict/core/dm_engine.py

@@ -215,10 +215,12 @@ def _run_zero_latency_dm_loop(device, zero_engine, nav_graph, configs, session_s
 
                 # If keyboard was open, the first back only closed it. Check if still in thread.
                 check_xml = device.dump_hierarchy()
-                if (
-                    'resource-id="com.instagram.android:id/direct_thread_header"' in check_xml
-                    or 'resource-id="com.instagram.android:id/row_thread_composer_edittext"' in check_xml
-                ):
+                from GramAddict.core.perception.screen_identity import ScreenIdentity, ScreenType
+
+                check_identity = ScreenIdentity(getattr(configs.args, "username", ""))
+                check_screen = check_identity.identify(check_xml)
+
+                if check_screen["screen_type"] == ScreenType.DM_THREAD:
                     device.press("back")
                     sleep(1.0)
 
@@ -239,10 +241,12 @@ def _run_zero_latency_dm_loop(device, zero_engine, nav_graph, configs, session_s
             sleep(1.0)
 
             check_xml = device.dump_hierarchy()
-            if (
-                'resource-id="com.instagram.android:id/direct_thread_header"' in check_xml
-                or 'resource-id="com.instagram.android:id/row_thread_composer_edittext"' in check_xml
-            ):
+            from GramAddict.core.perception.screen_identity import ScreenIdentity, ScreenType
+
+            check_identity = ScreenIdentity(getattr(configs.args, "username", ""))
+            check_screen = check_identity.identify(check_xml)
+
+            if check_screen["screen_type"] == ScreenType.DM_THREAD:
                 device.press("back")
                 sleep(1.0)
 

GramAddict/core/growth_brain.py

@@ -94,10 +94,11 @@ class GrowthBrain:
         logger.info(f"🧠 [GrowthBrain] Strategy '{self.strategy}' dictated Desire: {selected_desire}")
         return selected_desire
 
-    def get_current_goal(self, dopamine_engine, available_goals: list[str]) -> str:
+    def get_current_goal(self, dopamine_engine, available_goals: list[str], success_rates: dict = None) -> str:
         """
         Autonomously selects the next strategic goal.
         If no goals are configured, falls back to legacy desires.
+        Weights goals based on session success rates if provided.
         """
         import random
 
@@ -105,13 +106,20 @@ class GrowthBrain:
             # Legacy Desire Mapping (Fallback)
             return self.get_current_desire(dopamine_engine)
 
-        # Basic strategy: For now, randomly select a goal.
-        # Future: Weight by strategy, previous success, or time of day.
-        # Use DopamineEngine to influence 'boredom' switching if needed.
         if dopamine_engine.boredom > 80:
             return "ShiftContext"  # High boredom triggers a context shift
 
-        return random.choice(available_goals)
+        if not success_rates:
+            return random.choice(available_goals)
+
+        weights = []
+        for goal in available_goals:
+            base_weight = 1.0
+            success_count = success_rates.get(goal, 0)
+            weight = base_weight + float(success_count)
+            weights.append(weight)
+
+        return random.choices(available_goals, weights=weights, k=1)[0]
 
     def get_circadian_pacing(self) -> float:
         """

GramAddict/core/perception/screen_identity.py

@@ -179,8 +179,9 @@ class ScreenIdentity:
         if any(marker in ids for marker in REELS_MARKERS):
             return ScreenType.REELS_FEED
 
-        # DM thread detection — structural markers present inside DM conversations
-        if "direct_thread_header" in ids or "row_thread_composer_edittext" in ids:
+        # DM thread detection — Semantic app-agnostic markers (chat input fields)
+        chat_input_markers = ["Message...", "Nachricht...", "Type a message", "Nachricht senden", "Send a message"]
+        if any(marker in texts for marker in chat_input_markers) or "direct_thread_header" in ids:
             return ScreenType.DM_THREAD
 
         # Priority 2: Check Qdrant Semantic Cache (Fuzzy/VLM derived)