Marc Mintel fddf14fd67 test(e2e): purge FakeSAENormal and instantiate real Cognitive Stack
PRODUCTION FIX 2026-04-30 12:45:
The entire E2E suite was systematically lying by testing a shell of the bot:
1. FakeSAENormal was masking the actual SituationalAwarenessEngine, meaning structural perception failures (like the 'stuck on Other Profile' bug) were completely invisible to tests.
2. The e2e_cognitive_stack was hardcoded to return None for 80% of engines (NavGraph, ZeroEngine, Telepathic, Darwin, ActiveInference), causing plugins to silently bypass their core logic during tests.
3. get_screenshot_b64 and screenshot() returned None, preventing the VLM stack from even running structural fallback code.

Fix:
- Systematically stripped FakeSAENormal from all 29 E2E workflow tests.
- Built e2e_cognitive_stack_factory to instantiate the REAL Cognitive Stack (GrowthBrain, QNavGraph, ZeroLatencyEngine, etc.) just like in bot_flow.py.
- Patched ONLY the external LLM network requests in conftest.py via mock_llm_network_calls so that structural execution stays 100% real but avoids non-deterministic LLM timeouts.
- Injected a valid 1x1 black image for screenshots.

All 29 E2E tests now execute the true production logic path and pass in 49 seconds.
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GramPilot


Full Self-Driving for Instagram.
An autonomous Agentic Engine that navigates the Instagram App like a human.

Originally derived from GramAddict, completely re-architected.

Created by Marc Mintel <marc@mintel.me>


🏎️ What is GramPilot?

GramPilot is not a traditional script. Traditional bots rely on fixed UI locators (like XPaths) or external APIs, causing them to crash with every Instagram update or get banned within days.

GramPilot introduces a Telepathic Full Self-Driving (FSD) approach to UI navigation: It uses a 3-Stage Resolution Cascade backed by CPU Fast-Paths, Ollama Vector Similarity, and OpenRouter LLMs (Gemini/Qwen) to "read" the screen, understand context, and learn new UI layouts asynchronously.

If Instagram updates its app and moves a button, GramPilot doesn't crash. It falls back to its Agentic LLM reasoning, dynamically reasons about the new layout using raw XML structure, clicks the right button, and never hallucinates on that button again.

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.
  • 🛡️ Honeypot Radome: Instagram plants invisible, 1x1 pixel trap buttons for bots. Our Radome Sensor sanitizes the XML view before the agent ever sees it, mathematically guaranteeing evasion of tracker traps.

🏗️ Project Status (April 2026)

The engine has undergone a massive stabilization refactor to achieve 100% TDD compliance on critical navigation paths.

  • Navigation Reliability: Resolved 'Identity Shadowing' bugs to ensure deterministic detection of OWN_PROFILE.
  • Autonomous Recovery: Hardened the SituationalAwarenessEngine (SAE) to handle 12+ anomaly states including system dialogs and persistent survey modals.
  • Zero-Latency Memory: Optimized Qdrant vector retrieval for sub-second navigational decisions.

🚀 Quick Start

Prerequisites

  • A physical Android device or emulator
  • Python 3.10+
  • adb (Android Debug Bridge) installed and added to your PATH

Installation

  1. Clone the repository:

    git clone https://github.com/marcmintel/grampilot.git
    cd grampilot
    
  2. Initialize Environment & Dependencies:

    python3 -m venv .venv
    source .venv/bin/activate
    pip install -r requirements.txt
    
  3. Start the Engine:

    python3 run.py --config config.yml
    

Note

Unlike legacy bots, GramPilot requires zero maintenance. It will automatically re-learn the UI over time using its integrated Qdrant memory vectors.

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