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- simulate.py: Import error function from utils with fallback implementation - test_edge_advanced.sh: Remove --island-id flag from island leave commands (use positional argument) - conftest.py: Add tests directory to Python path for test discovery
134 lines
3.4 KiB
Python
134 lines
3.4 KiB
Python
"""
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Minimal conftest for pytest discovery
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Imports fixtures from dedicated fixture files for better organization
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"""
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import sys
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from pathlib import Path
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# Configure Python path for test discovery
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project_root = Path(__file__).parent.parent
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sys.path.insert(0, str(project_root))
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sys.path.insert(0, str(project_root / "tests"))
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# Import fixtures from dedicated fixture files
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# Common fixtures (environment setup, data generators)
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from tests.fixtures.common import (
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setup_test_environment,
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mock_optional_dependencies,
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mock_aitbc_crypto,
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sample_tenant,
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sample_job_data,
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mock_db,
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mock_cache,
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test_user_data,
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test_transaction_data,
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test_wallet_data,
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test_ethereum_address,
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)
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# Coordinator API fixtures
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from tests.fixtures.coordinator import coordinator_client
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# Blockchain fixtures
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from tests.fixtures.blockchain import (
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blockchain_client,
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wallet_client,
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marketplace_client,
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)
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# Training fixtures (kept here as they're specific to training tests)
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from aitbc.training_setup import TrainingEnvironment, TrainingSetupError
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# Auth fixtures
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from tests.fixtures.auth_fixtures import (
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mock_jwt_secret,
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test_user_token,
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test_admin_token,
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expired_token,
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invalid_token,
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auth_headers,
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admin_auth_headers,
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mock_user,
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mock_admin_user,
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mock_auth_service,
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permission_checker,
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api_key_headers,
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mock_api_keys,
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)
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# Test data factory
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from tests.fixtures.test_data_factory import TestDataFactory
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import pytest
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@pytest.fixture(scope="session")
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def training_env():
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"""
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Session-scoped fixture for training environment setup.
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Sets up the training environment once per test session.
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"""
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env = TrainingEnvironment()
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try:
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env.check_prerequisites()
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yield env
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except TrainingSetupError as e:
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pytest.skip(f"Training prerequisites not met: {e}")
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@pytest.fixture
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def training_env_mock():
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"""
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Function-scoped fixture for mocked training environment.
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Uses mocked subprocess calls for faster, isolated tests.
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"""
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from unittest.mock import patch, MagicMock
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env = TrainingEnvironment()
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def mock_subprocess_run(*args, **kwargs):
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mock_result = MagicMock()
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mock_result.returncode = 0
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mock_result.stdout = "success"
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mock_result.stderr = ""
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return mock_result
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with patch('subprocess.run', side_effect=mock_subprocess_run):
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yield env
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@pytest.fixture
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def mock_faucet_response():
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"""Mock faucet API response for testing"""
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return {
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"status": "success",
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"address": "ait1testaddress",
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"amount": 1000,
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"transaction_id": "tx_test123",
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"timestamp": "2026-05-05T12:00:00"
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}
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@pytest.fixture
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def training_stage_data():
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"""Sample training stage data for testing"""
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return {
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"stage": "stage1_foundation",
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"agent_type": "general",
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"training_data": {
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"prerequisites": {
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"description": "Test prerequisites",
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"setup_script": "/opt/aitbc/scripts/training/setup_training_env.sh",
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"requirements": ["AITBC node running", "Funded accounts"]
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},
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"operations": [
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{
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"operation": "wallet_create",
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"parameters": {"name": "test-wallet"},
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"expected_result": {"status": "success"}
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}
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]
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}
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}
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