feat(diagnostics): dump screenshots with xmls and limit retention to 5

This commit is contained in:
2026-04-27 11:55:44 +02:00
parent ae046be3b1
commit e9201e0e30
10 changed files with 480 additions and 70 deletions

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from unittest.mock import MagicMock, patch
import pytest
from GramAddict.core.dm_engine import _run_zero_latency_dm_loop
from GramAddict.core.session_state import SessionState
@pytest.fixture
def mock_device():
device = MagicMock()
# Initial inbox state
device.dump_hierarchy.return_value = "<xml><node text='Inbox'/></xml>"
return device
@pytest.fixture
def mock_cognitive_stack():
telepathic = MagicMock()
dopamine = MagicMock()
dopamine.is_app_session_over.return_value = False
dopamine.wants_to_change_feed.side_effect = [False, True]
dopamine.boredom = 0
dm_memory = MagicMock()
resonance = MagicMock()
resonance.persona_prompt = "You are a friendly bot."
resonance.args.ai_model = "test-model"
return {"telepathic": telepathic, "dopamine": dopamine, "dm_memory": dm_memory, "resonance": resonance}
def test_e2e_dm_full_flow_success(mock_device, mock_cognitive_stack):
"""
E2E scenario:
1. Found 1 unread message.
2. Opened chat.
3. Read context.
4. Generated response.
5. Sent message.
6. Guarded back-navigation (keyboard closed + activity exit).
"""
telepathic = mock_cognitive_stack["telepathic"]
hierarchy_items = [
"<xml>Inbox with unread</xml>", # Loop 1 start
"<xml>Thread view</xml>", # Context read
"<xml>Thread view</xml>", # Input field find
"<xml>Thread view</xml>", # Send button find
"<xml><node resource-id='com.instagram.android:id/direct_thread_header'/></xml>", # Navigation check AFTER back
"<xml>Inbox View</xml>", # Loop 2 start (exit)
"<xml>Inbox View</xml>", # Buffer
]
hierarchy_iterator = iter(hierarchy_items)
mock_device.dump_hierarchy.side_effect = lambda: next(hierarchy_iterator)
# Semantic node responses
telepathic._extract_semantic_nodes.side_effect = [
[{"x": 100, "y": 100, "text": "New Message"}], # unread_threads
[{"text": "Hello there!"}], # msg_nodes (context)
[{"x": 200, "y": 200}], # input_nodes
[{"x": 300, "y": 300}], # send_nodes
[], # Loop 2: no unread
[], # Buffer
]
mock_cognitive_stack["dopamine"].boredom = 0
mock_cognitive_stack["dopamine"].wants_to_change_feed.side_effect = [False, True, True]
session_state = MagicMock(spec=SessionState)
session_state.check_limit.return_value = False
session_state.totalMessages = 0
mock_configs = MagicMock()
mock_configs.args.disable_ai_messaging = False
mock_configs.args.ai_condenser_model = "test-model"
mock_configs.args.ai_condenser_url = "http://localhost:11434/api/generate"
with (
patch("GramAddict.core.llm_provider.query_llm", return_value={"response": "Hi! How can I help?"}),
patch("GramAddict.core.bot_flow._humanized_click"),
patch("GramAddict.core.bot_flow.sleep"),
patch("GramAddict.core.stealth_typing.ghost_type"),
):
result = _run_zero_latency_dm_loop(
mock_device, MagicMock(), MagicMock(), mock_configs, session_state, "target", mock_cognitive_stack
)
assert result == "BOREDOM_CHANGE_FEED"
# Ensure navigation at least attempted to exit
assert mock_device.press.call_count >= 2
mock_device.press.assert_called_with("back")
def test_e2e_dm_no_messages(mock_device, mock_cognitive_stack):
"""
E2E scenario: No messages found, exit immediately.
"""
telepathic = mock_cognitive_stack["telepathic"]
mock_cognitive_stack["dopamine"].wants_to_change_feed.return_value = True
telepathic._extract_semantic_nodes.return_value = [] # No unreads
session_state = MagicMock(spec=SessionState)
session_state.check_limit.return_value = False
result = _run_zero_latency_dm_loop(
mock_device, MagicMock(), MagicMock(), MagicMock(), session_state, "target", mock_cognitive_stack
)
assert result == "BOREDOM_CHANGE_FEED"
# Should only press back once to exit Inbox
assert mock_device.press.call_count == 1