Marc Mintel
fddf14fd67
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.
20 lines
795 B
Python
20 lines
795 B
Python
import os
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import glob
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import re
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for file in glob.glob("tests/e2e/test_workflow_*.py"):
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with open(file, "r") as f:
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content = f.read()
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# Remove FakeSAENormal class definition
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content = re.sub(r'class FakeSAENormal:\n(?: {4}.*\n)+', '', content)
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# Remove monkeypatch.setattr for SituationalAwarenessEngine
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content = re.sub(r' +monkeypatch\.setattr\(\n +["\']GramAddict\.core\.behaviors\.obstacle_guard\.SituationalAwarenessEngine["\'],\n +FakeSAENormal,?\n +\)\n', '', content)
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# Also inline ones
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content = re.sub(r' +monkeypatch\.setattr\("GramAddict\.core\.behaviors\.obstacle_guard\.SituationalAwarenessEngine", FakeSAENormal\)\n', '', content)
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with open(file, "w") as f:
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f.write(content)
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print("Removed FakeSAENormal from all tests")
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