From effb1f5ae106524a5bbf5e4c18f58006c769390b Mon Sep 17 00:00:00 2001
From: Marc Mintel <marc@mintel.me>
Date: Wed, 29 Apr 2026 17:44:06 +0200
Subject: [PATCH] test(e2e): Fix navigation graph instantiation and mock UI
 sequence exhaustion

---
 README.md                             |   1 +
 tests/e2e/test_goal_decomposer_e2e.py | 102 ++++++++++++++++++++++++++
 2 files changed, 103 insertions(+)
 create mode 100644 tests/e2e/test_goal_decomposer_e2e.py

diff --git a/README.md b/README.md
index 8eab4a2..89cb629 100644
--- a/README.md
+++ b/README.md
@@ -21,6 +21,7 @@ If Instagram updates its app and moves a button, GramPilot doesn't crash. It fal
 ## ✨ Core Features
 
 *   🚫 **Zero Limits Configuration**: Forget about configuring "max_likes" or "delays". GramPilot uses a **Dopamine Pacing Engine** to simulate human boredom. If the content isn't interesting, it skips it or ends the session early.
+*   🎯 **Mission-Driven Navigation**: Say goodbye to abstract goal configurations. Define a `strategy` (like `aggressive_growth` or `nurture_community`) in `config.yml`, and the **Goal Decomposer Engine** automatically orchestrates the optimal routing and task allocation using enabled plugins.
 *   ⚖️ **Active Inference (Shadow Mode)**: The bot continuously predicts the outcome of its clicks. If it lands on a popup instead of a profile, it registers a "Prediction Error", presses back, and dynamically recalibrates without panicking.
 *   ⛩️ **Telepathic Engine**: A strictly tiered resolution cascade (Keyword -> Vectors -> LLM) that ensures 90% of navigation happens at 0-token cost while maintaining fallback AI resilience.
 *   🧬 **Resonance Oracle**: The bot only interacts with content that matches a pre-defined persona aesthetic, completely bypassing spam or low-quality content.
diff --git a/tests/e2e/test_goal_decomposer_e2e.py b/tests/e2e/test_goal_decomposer_e2e.py
new file mode 100644
index 0000000..3ace552
--- /dev/null
+++ b/tests/e2e/test_goal_decomposer_e2e.py
@@ -0,0 +1,102 @@
+"""
+E2E Test: Goal Decomposition and Autonomous Orchestration
+==========================================================
+
+This test proves that the bot's core autonomy pipeline (Task Generation -> Selection -> Navigation)
+works end-to-end using real configuration objects and real UI XML dumps.
+"""
+
+import os
+
+import pytest
+
+from GramAddict.core.goal_decomposer import GoalDecomposer
+from GramAddict.core.growth_brain import GrowthBrain
+from GramAddict.core.q_nav_graph import QNavGraph
+from GramAddict.core.telepathic_engine import TelepathicEngine
+
+FIXTURE_DIR = os.path.join(os.path.dirname(__file__), "fixtures")
+
+
+def _load_fixture(name: str) -> str:
+    path = os.path.join(FIXTURE_DIR, name)
+    with open(path, "r", encoding="utf-8") as f:
+        return f.read()
+
+
+class MockZeroEngine:
+    """Mock ZeroEngine needed by nav_graph to run actions without full active_inference logic."""
+
+    def __init__(self, device):
+        self.device = device
+        self.telepathic = TelepathicEngine()
+
+    def do(self, intent: str):
+        # Simplistic execution for navigation
+        xml = self.device.dump_hierarchy()
+        node = self.telepathic.find_best_node(xml, intent, self.device)
+        if node:
+            # Just pretend we clicked
+            return True
+        return False
+
+
+@pytest.mark.live_llm
+class TestAutonomousOrchestrationE2E:
+    """End-to-End pipeline: Config -> GoalDecomposer -> GrowthBrain -> NavGraph -> UI XML"""
+
+    def test_e2e_mission_to_explore_feed_navigation(self, make_real_device_with_xml, monkeypatch):
+        """
+        Simulates the bot_flow.py autonomous loop:
+        1. Decomposer parses aggressive_growth mission.
+        2. Brain selects ExploreFeed task.
+        3. Orchestrator uses nav_graph to reach ExploreFeed.
+        """
+        # 1. Setup simulated device with XML sequence
+        home_xml = _load_fixture("home_feed_real.xml")
+        explore_xml = _load_fixture("explore_grid_real.xml")
+
+        # Sequence for nav_graph.navigate_to("ExploreFeed")
+        # We provide a long sequence of explore_xml at the end to simulate the app remaining on the Explore screen
+        # after the transition.
+        xml_sequence = [
+            home_xml,  # Initial perception (HomeFeed)
+            home_xml,  # finding explore button
+            explore_xml,  # post-click state (ExploreFeed)
+            explore_xml,  # Goal validation check
+        ] + [explore_xml] * 20
+
+        device = make_real_device_with_xml(xml_sequence)
+
+        # 2. Fake Config inputs
+        mission = {"strategy": "aggressive_growth"}
+        plugins = {"likes": {"percentage": 100}}
+        actions = {"explore": "1-3"}
+
+        # 3. Generate Tasks
+        decomposer = GoalDecomposer(plugins=plugins, actions=actions, mission=mission)
+        tasks = decomposer.generate_tasks()
+        assert len(tasks) > 0, "Decomposer must generate tasks"
+
+        # Force selection of ExploreFeed for deterministic test
+        monkeypatch.setattr(
+            "random.choices", lambda population, weights, k: [t for t in population if t.target_screen == "ExploreFeed"]
+        )
+
+        # 4. Brain Selection
+        brain = GrowthBrain(username="testuser")
+
+        class MockDopamine:
+            boredom = 0.0
+
+        selected_task = brain.select_task(MockDopamine(), tasks)
+        assert selected_task is not None
+        assert selected_task.target_screen == "ExploreFeed"
+
+        # 5. Execute Navigation (mimicking bot_flow.py)
+        nav_graph = QNavGraph(device=device)
+        zero_engine = MockZeroEngine(device)
+
+        success = nav_graph.navigate_to(selected_task.target_screen, zero_engine)
+
+        assert success is True, "Orchestrator failed to navigate to the decomposed Task's target screen!"