127 lines
4.7 KiB
Python
127 lines
4.7 KiB
Python
import sys
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import os
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import pytest
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import time
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from unittest.mock import MagicMock
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from GramAddict.core import utils
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# Force Qdrant mocking globally across ALL E2E tests so we never
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# block on connection refused trying to hit localhost:6344
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mock_qdrant = MagicMock()
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# Setup correct return types for dimension check warnings in qdrant_memory
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mock_collection = MagicMock()
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mock_collection.config.params.vectors.size = 768
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mock_qdrant.get_collection.return_value = mock_collection
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sys.modules["qdrant_client"].QdrantClient = MagicMock(return_value=mock_qdrant)
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@pytest.fixture
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def e2e_device_dump_injector():
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"""
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Provides a factory to mock device.deviceV2.dump_hierarchy using real XML files.
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Will gracefully fail with a comprehensive assertion if the file is missing
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(per 'ECHTE DUMPS fehlen' reporting requirement).
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"""
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def _inject_dump(device_mock, xml_filename):
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fix_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), "fixtures")
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xml_path = os.path.join(fix_dir, xml_filename)
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if not os.path.exists(xml_path):
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pytest.fail(f"MISSING REAL DUMP: required XML fixture '{xml_filename}' for full E2E workflow testing could not be found at {xml_path}. FAKE_NOTHING policy implies dropping this test execution until it is captured.", pytrace=False)
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with open(xml_path, "r") as f:
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real_xml = f.read()
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device_mock.deviceV2.dump_hierarchy.return_value = real_xml
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return real_xml
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return _inject_dump
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@pytest.fixture
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def dynamic_e2e_dump_injector(monkeypatch):
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"""
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State-Machine Injector: Replaces dump_hierarchy dynamically when transitions occur.
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Validates that the Telepathic Engine's pathfinding truly worked.
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"""
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def _inject(device_mock, state_map, initial_xml):
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fix_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), "fixtures")
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def load_xml(filename):
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path = os.path.join(fix_dir, filename)
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if not os.path.exists(path):
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pytest.fail(f"MISSING REAL DUMP: {filename} not found.")
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with open(path, "r") as f:
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return f.read()
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device_mock.deviceV2.dump_hierarchy.return_value = load_xml(initial_xml)
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from GramAddict.core.q_nav_graph import QNavGraph
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original_execute = QNavGraph._execute_transition
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def _mock_execute_transition(nav_self, action, zero_engine):
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if action == 'tap_post_username':
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return True
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# Evaluate using the real internal LLM/Keyword logic against the current mock XML!
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success = original_execute(nav_self, action, zero_engine)
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if success is True and action in state_map:
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# The node was clicked successfully! Swap the XML to the target state.
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device_mock.deviceV2.dump_hierarchy.return_value = load_xml(state_map[action])
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return success
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monkeypatch.setattr(QNavGraph, "_execute_transition", _mock_execute_transition)
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return _inject
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@pytest.fixture(autouse=True)
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def mock_all_delays(monkeypatch):
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"""
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Strips out all humanized hardware delays specifically for the E2E test suite.
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Ensures loops evaluate instantly using the injected dumps.
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"""
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monkeypatch.setattr(time, "sleep", lambda x: None)
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monkeypatch.setattr(utils, "random_sleep", lambda *args, **kwargs: None)
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monkeypatch.setattr(utils, "sleep", lambda x: None)
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# Standardize DarwinEngine across tests to prevent mockup math errors on session end
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try:
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from GramAddict.core.darwin_engine import DarwinEngine
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monkeypatch.setattr(DarwinEngine, "evaluate_session_end", lambda *args, **kwargs: None)
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except ImportError:
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pass
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@pytest.fixture
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def e2e_configs():
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import argparse
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configs = MagicMock()
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configs.args = argparse.Namespace(
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username="testuser",
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device="emulator-5554",
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app_id="com.instagram.android",
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debug=True,
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feed=None,
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carousel_percentage=0,
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carousel_count="1",
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explore=None,
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reels=None,
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stories=None,
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interact_percentage=0,
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likes_percentage=0,
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follow_percentage=0,
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comment_percentage=0,
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working_hours=[0.0, 24.0],
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time_delta_session=0,
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speed_multiplier=1.0,
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disable_filters=False,
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interaction_users_amount="1",
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scrape_profiles=False,
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disable_ai_messaging=True,
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total_unfollows_limit=0,
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ai_telepathic_url="http://localhost",
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ai_telepathic_model="llama3",
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ai_condenser_url="http://localhost",
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ai_condenser_model="llama3"
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)
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return configs
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