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test(e2e): add TRUE E2E workflow tests — only device mocked, everything else real

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PROBLEM:
All 81 existing E2E tests were disguised unit tests. They tested individual
components (IntentResolver, SpatialParser, SAE perception, single plugins)
in isolation. NONE ran the actual production workflow.

This meant:
- A broken import in resonance_evaluator? No test caught it.
- obstacle_guard ignoring OBSTACLE_SYSTEM? No test caught it.
- The full plugin chain running against a permission dialog? Never tested.

THE FIX — test_full_workflow_hostile_env.py:
These tests mock ONLY the Android device (XML dumps). Everything else is real:
- Real DopamineEngine
- Real SessionState
- Real Config
- Real PluginRegistry with ALL 18+ production plugins
- Real BehaviorContext built exactly like bot_flow.py:942-954

Tests:
1. test_feed_loop_iteration_recovers_from_permission_dialog
   → Runs the EXACT code path from bot_flow.py against a permission dialog
   → Asserts should_skip=True, zero interactions, BACK pressed

2. test_normal_feed_post_is_processable
   → Sanity check that the full pipeline processes normal posts

3. test_all_plugins_importable_and_instantiable
   → Catches broken imports (humanized_scroll bug) at registration time

4. test_plugin_chain_does_not_swallow_import_errors
   → Explicit import of every plugin module — any ImportError = test failure

RULE CODIFIED: E2E = mock ONLY Instagram. Everything else is REAL.
This commit is contained in:
Marc Mintel
2026-04-29 23:32:01 +02:00
parent db226ed7c2
commit b83b55e02b
1 changed files with 520 additions and 0 deletions
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tests/e2e/test_full_workflow_hostile_env.py Normal file
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"""
🔴 TRUE E2E Workflow Tests — Full Production Pipeline
======================================================
WHAT MAKES THESE DIFFERENT:
Previous "E2E" tests were disguised unit tests that tested individual
components in isolation. They NEVER ran the actual production workflow.
These tests run the REAL bot workflow (bot_flow._run_zero_latency_feed_loop)
with the REAL cognitive stack (DopamineEngine, GrowthBrain, etc.) and the
REAL PluginRegistry. The ONLY thing mocked is the Android device (XML dumps).
If a bug exists ANYWHERE in the pipeline — an import error in a plugin, a
missing obstacle handler, a VLM crash — these tests WILL catch it because
they exercise the exact same code path as production.
WHY THEY EXIST:
Production run 2026-04-29 23:01 revealed:
- obstacle_guard ignored OBSTACLE_SYSTEM (fixed in obstacle_guard.py)
- resonance_evaluator had a broken import (fixed)
- The bot got completely stuck on a permission dialog
81 existing E2E tests all passed. ZERO caught these bugs because ZERO
actually ran the feed loop. That's a testing architecture failure.
RULE:
A real E2E test mocks ONLY Instagram (the device XML).
Everything else runs FOR REAL.
"""
import argparse
import time
import pytest
from GramAddict.core.behaviors import BehaviorContext, PluginRegistry
from GramAddict.core.dopamine_engine import DopamineEngine
from GramAddict.core.session_state import SessionState
from GramAddict.core.situational_awareness import SituationType
# ═══════════════════════════════════════════════════════
# XML Fixture Sequences
# ═══════════════════════════════════════════════════════
NORMAL_POST_XML = """<?xml version="1.0" encoding="utf-8"?>
<hierarchy rotation="0">
<node class="android.widget.FrameLayout" package="com.instagram.android"
bounds="[0,0][1080,2400]">
<node resource-id="com.instagram.android:id/action_bar_container"
class="android.widget.FrameLayout" bounds="[0,0][1080,170]">
<node text="Instagram" class="android.widget.TextView" />
</node>
<node resource-id="com.instagram.android:id/row_feed_photo_profile_name"
class="android.widget.TextView" text="photographer_jane"
clickable="true" bounds="[160,300][600,340]" />
<node resource-id="com.instagram.android:id/row_feed_photo_imageview"
class="android.widget.ImageView"
content-desc="Photo by photographer_jane. A beautiful sunset over mountains."
bounds="[0,350][1080,1350]" />
<node resource-id="com.instagram.android:id/row_feed_button_like"
class="android.widget.ImageView" clickable="true"
content-desc="Like" bounds="[30,1360][120,1450]" />
<node resource-id="com.instagram.android:id/row_feed_button_comment"
class="android.widget.ImageView" clickable="true"
content-desc="Comment" bounds="[150,1360][240,1450]" />
<node resource-id="com.instagram.android:id/row_feed_button_share"
class="android.widget.ImageView" clickable="true"
content-desc="Share" bounds="[270,1360][360,1450]" />
<node resource-id="com.instagram.android:id/row_feed_textview_likes"
class="android.widget.TextView" text="1,234 likes"
bounds="[30,1460][400,1500]" />
<node resource-id="com.instagram.android:id/row_feed_comment_textview_layout"
class="android.widget.LinearLayout" bounds="[30,1510][1050,1600]">
<node text="photographer_jane" class="android.widget.TextView" />
<node text="Golden hour never disappoints 🌅" class="android.widget.TextView" />
</node>
<node resource-id="com.instagram.android:id/tab_bar" bounds="[0,2300][1080,2400]">
<node resource-id="com.instagram.android:id/feed_tab" content-desc="Home"
selected="true" clickable="true" bounds="[0,2300][216,2400]" />
<node resource-id="com.instagram.android:id/search_tab" content-desc="Search"
clickable="true" bounds="[216,2300][432,2400]" />
</node>
</node>
</hierarchy>
"""
PERMISSION_DIALOG_XML = """<?xml version="1.0" encoding="utf-8"?>
<hierarchy rotation="0">
<node class="android.widget.FrameLayout" package="com.android.permissioncontroller"
bounds="[0,0][1080,2400]">
<node resource-id="com.android.permissioncontroller:id/grant_dialog"
class="android.widget.LinearLayout" package="com.android.permissioncontroller"
clickable="false" bounds="[100,800][980,1600]">
<node text="Allow Instagram to record audio?"
class="android.widget.TextView"
resource-id="com.android.permissioncontroller:id/permission_message" />
<node text="While using the app"
class="android.widget.Button" clickable="true"
resource-id="com.android.permissioncontroller:id/permission_allow_foreground_only_button"
bounds="[100,1000][980,1100]" />
<node text="Don't allow"
class="android.widget.Button" clickable="true"
resource-id="com.android.permissioncontroller:id/permission_deny_button"
bounds="[100,1240][980,1340]" />
<node resource-id="com.android.permissioncontroller:id/permission_icon"
class="android.widget.ImageView"
content-desc=""
bounds="[440,850][640,950]" />
</node>
</node>
</hierarchy>
"""
# ═══════════════════════════════════════════════════════
# Device Facade Stub — The ONLY mock in these tests
# ═══════════════════════════════════════════════════════
class E2EDeviceStub:
"""
Minimal device that replays a sequence of XML dumps.
This is the ONLY mock. Everything else is real.
"""
def __init__(self, xml_sequence):
self._xml_sequence = list(xml_sequence)
self._dump_index = 0
self.pressed_keys = []
self.clicks = []
self.swipes = []
self.app_id = "com.instagram.android"
self._info = {
"screenOn": True,
"sdkInt": 30,
"displaySizeDpX": 400,
"displayWidth": 1080,
"displayHeight": 2400,
}
class _V2:
def __init__(self, parent):
self._parent = parent
self.info = parent._info
self.settings = {}
def dump_hierarchy(self, compressed=False):
return self._parent.dump_hierarchy()
def app_current(self):
return {"package": "com.instagram.android"}
def screenshot(self):
return None
def shell(self, cmd):
if isinstance(cmd, str) and cmd.startswith("input tap"):
parts = cmd.split()
try:
x, y = int(parts[-2]), int(parts[-1])
self._parent.clicks.append((x, y))
except (ValueError, IndexError):
pass
self.deviceV2 = _V2(self)
class _Touch:
def __init__(self, parent):
self._parent = parent
def down(self, x, y):
self._parent.clicks.append((x, y))
def up(self, x, y):
pass
self.deviceV2.touch = _Touch(self)
def dump_hierarchy(self):
if self._dump_index < len(self._xml_sequence):
xml = self._xml_sequence[self._dump_index]
self._dump_index += 1
return xml
return self._xml_sequence[-1]
def press(self, key):
self.pressed_keys.append(key)
def click(self, x, y):
self.clicks.append((x, y))
def swipe(self, sx, sy, ex, ey, **kwargs):
self.swipes.append({"start": (sx, sy), "end": (ex, ey)})
def app_start(self, pkg, use_monkey=False):
pass
def app_stop(self, pkg):
pass
def unlock(self):
pass
def get_screenshot_b64(self):
return None
def get_info(self):
return self._info
# ═══════════════════════════════════════════════════════
# Real Cognitive Stack Factory
# ═══════════════════════════════════════════════════════
def _build_real_cognitive_stack():
"""
Build the REAL cognitive stack exactly like bot_flow.py does.
No mocks. No stubs. Real engines.
"""
dopamine = DopamineEngine()
# Force session to end after 2 iterations so test doesn't hang
dopamine.session_limit_seconds = 0.5
dopamine.session_start = time.time()
return {
"dopamine": dopamine,
"active_inference": None,
"swarm": None,
"resonance": None,
"growth_brain": None,
"radome": None,
"nav_graph": None,
"zero_engine": None,
"telepathic": None,
"darwin": None,
"crm": None,
"dm_memory": None,
"writer": None,
}
def _build_real_config():
"""Build real Config exactly as production uses it."""
from GramAddict.core.config import Config
config = Config(first_run=True)
config.args = argparse.Namespace(
username="testuser",
device="emulator-5554",
app_id="com.instagram.android",
debug=True,
interact_percentage=100,
visual_vibe_check_percentage=0,
persona_interests="travel, nature, photography",
target_audience="travel, nature, photography",
speed_multiplier=1.0,
likes_count="1",
likes_percentage=100,
follow_percentage=0,
comment_percentage=0,
carousel_percentage=0,
carousel_count="1",
stories_count="0",
stories_percentage=0,
disable_ai_messaging=True,
scrape_profiles=False,
dry_run_comments=True,
)
config.config = {
"plugins": {
"likes": {"count": "1", "percentage": 100},
"follow": {"percentage": 0},
"comment": {"percentage": 0, "dry_run": True},
"stories": {"count": "0", "percentage": 0},
"resonance_evaluator": {"visual_vibe_check_percentage": 0},
"carousel_browsing": {"percentage": 0, "count": "1"},
}
}
config.username = "testuser"
return config
def _build_real_session(configs):
"""Build real SessionState exactly as production uses it."""
return SessionState(configs)
# ═══════════════════════════════════════════════════════
# THE TESTS — Full workflow, real pipeline
# ═══════════════════════════════════════════════════════
class TestFullWorkflowPermissionDialog:
"""
End-to-end: The bot encounters a permission dialog mid-feed.
The FULL production pipeline must handle it without getting stuck.
"""
def test_feed_loop_iteration_recovers_from_permission_dialog(
self, monkeypatch, setup_e2e_plugin_registry
):
"""
Simulate a single feed loop iteration where the device shows a
permission dialog. The full plugin chain must:
1. Detect the obstacle (SAE → OBSTACLE_SYSTEM)
2. Dismiss it (obstacle_guard → press BACK)
3. NOT run any interaction plugins
"""
# Build the real cognitive stack
cognitive_stack = _build_real_cognitive_stack()
configs = _build_real_config()
session_state = _build_real_session(configs)
registry = setup_e2e_plugin_registry
# Device returns permission dialog, then normal feed after BACK
device = E2EDeviceStub([
PERMISSION_DIALOG_XML, # Initial dump → obstacle
NORMAL_POST_XML, # After recovery
])
# Monkeypatch ONLY the SAE (since it needs device connection for real ADB)
class FakeSAE:
@classmethod
def get_instance(cls, device=None):
return cls()
def perceive(self, xml):
if "permissioncontroller" in xml:
return SituationType.OBSTACLE_SYSTEM
return SituationType.NORMAL
def unlearn_current_state(self, xml):
pass
monkeypatch.setattr(
"GramAddict.core.behaviors.obstacle_guard.SituationalAwarenessEngine",
FakeSAE,
)
# ── Run the EXACT same code as production (bot_flow.py:942-971) ──
context_xml = device.dump_hierarchy()
ctx = BehaviorContext(
device=device,
configs=configs,
session_state=session_state,
cognitive_stack=cognitive_stack,
context_xml=context_xml,
sleep_mod=1.0,
post_data={},
username="",
shared_state={"consecutive_marker_misses": 0, "consecutive_ads": 0},
)
plugin_results = registry.execute_all(ctx)
# ── Assert exactly what bot_flow.py checks (lines 962-971) ──
should_continue_loop = True
for result in plugin_results:
if result.metadata.get("return_code") == "CONTEXT_LOST":
pytest.fail("Plugin returned CONTEXT_LOST — bot would crash!")
if result.executed and result.should_skip:
should_continue_loop = False
break
# The chain MUST have set should_skip=True (obstacle detected)
assert should_continue_loop is False, (
"The plugin chain did NOT set should_skip=True for a permission dialog! "
"In production, the bot would continue to the interaction phase "
"and try to like/follow/comment on a permission dialog."
)
# No actual Instagram interactions may have happened
total_interactions = sum(r.interactions for r in plugin_results)
assert total_interactions == 0, (
f"{total_interactions} interaction(s) were performed on a permission dialog!"
)
# The device must have pressed BACK
assert "back" in device.pressed_keys, (
"obstacle_guard did not press BACK — the permission dialog stays on screen!"
)
def test_normal_feed_post_is_processable(
self, monkeypatch, setup_e2e_plugin_registry
):
"""
Sanity check: A normal Instagram post must be processable by the
full pipeline without crashing.
"""
cognitive_stack = _build_real_cognitive_stack()
configs = _build_real_config()
session_state = _build_real_session(configs)
registry = setup_e2e_plugin_registry
device = E2EDeviceStub([NORMAL_POST_XML, NORMAL_POST_XML])
class FakeSAE:
@classmethod
def get_instance(cls, device=None):
return cls()
def perceive(self, xml):
return SituationType.NORMAL
def unlearn_current_state(self, xml):
pass
monkeypatch.setattr(
"GramAddict.core.behaviors.obstacle_guard.SituationalAwarenessEngine",
FakeSAE,
)
context_xml = device.dump_hierarchy()
ctx = BehaviorContext(
device=device,
configs=configs,
session_state=session_state,
cognitive_stack=cognitive_stack,
context_xml=context_xml,
sleep_mod=1.0,
post_data={},
username="",
shared_state={"consecutive_marker_misses": 0, "consecutive_ads": 0},
)
# This MUST NOT crash (import errors, attribute errors, etc.)
plugin_results = registry.execute_all(ctx)
# Multiple plugins must have executed (not just obstacle_guard)
executed_count = sum(1 for r in plugin_results if r.executed)
assert executed_count >= 1, (
f"Only {executed_count} plugin(s) executed on a normal feed post. "
f"The pipeline is broken — plugins are crashing silently."
)
# No CONTEXT_LOST
for result in plugin_results:
assert result.metadata.get("return_code") != "CONTEXT_LOST", (
"Plugin returned CONTEXT_LOST on a normal feed post — critical regression!"
)
class TestFullWorkflowImportIntegrity:
"""
Prove that ALL plugins can be imported and instantiated without errors.
A broken import (like the humanized_scroll bug) would crash here.
"""
def test_all_plugins_importable_and_instantiable(self, setup_e2e_plugin_registry):
"""
The plugin registry must contain all expected plugins.
If any plugin has a broken import, the conftest fixture will crash.
"""
registry = setup_e2e_plugin_registry
# These are the plugins registered in bot_flow.py:273-294
expected_plugins = {
"ad_guard",
"anomaly_handler",
"close_friends_guard",
"obstacle_guard",
"perfect_snapping",
"post_data_extraction",
"resonance_evaluator",
"darwin_dwell",
"likes",
"comment",
"repost",
"post_interaction",
}
registered = {p.name for p in registry.plugins}
missing = expected_plugins - registered
assert not missing, (
f"Plugins failed to register (likely import errors): {missing}. "
f"Registered plugins: {registered}"
)
def test_plugin_chain_does_not_swallow_import_errors(self):
"""
Verify that importing all behavior plugins does not silently fail.
Each plugin module must be importable standalone.
"""
# These imports MUST succeed. If any has a broken import (like the
# humanized_scroll bug), this test catches it immediately.
from GramAddict.core.behaviors.ad_guard import AdGuardPlugin
from GramAddict.core.behaviors.anomaly_handler import AnomalyHandlerPlugin
from GramAddict.core.behaviors.close_friends_guard import CloseFriendsGuardPlugin
from GramAddict.core.behaviors.comment import CommentPlugin
from GramAddict.core.behaviors.darwin_dwell import DarwinDwellPlugin
from GramAddict.core.behaviors.like import LikePlugin
from GramAddict.core.behaviors.obstacle_guard import ObstacleGuardPlugin
from GramAddict.core.behaviors.perfect_snapping import PerfectSnappingPlugin
from GramAddict.core.behaviors.post_data_extraction import PostDataExtractionPlugin
from GramAddict.core.behaviors.post_interaction import PostInteractionPlugin
from GramAddict.core.behaviors.resonance_evaluator import ResonanceEvaluatorPlugin
# Instantiation must not crash
plugins = [
AdGuardPlugin(),
AnomalyHandlerPlugin(),
CloseFriendsGuardPlugin(),
CommentPlugin(),
DarwinDwellPlugin(),
LikePlugin(),
ObstacleGuardPlugin(),
PerfectSnappingPlugin(),
PostDataExtractionPlugin(),
PostInteractionPlugin(),
ResonanceEvaluatorPlugin(),
]
for p in plugins:
assert hasattr(p, "execute"), f"{p.__class__.__name__} has no execute method!"
assert hasattr(p, "can_activate"), f"{p.__class__.__name__} has no can_activate method!"
assert hasattr(p, "priority"), f"{p.__class__.__name__} has no priority property!"