forked from Rockachopa/Timmy-time-dashboard
## Summary Complete refactoring of Timmy Time from monolithic architecture to microservices using Test-Driven Development (TDD) and optimized Docker builds. ## Changes ### Core Improvements - Optimized dashboard startup: moved blocking tasks to async background processes - Fixed model fallback logic in agent configuration - Enhanced test fixtures with comprehensive conftest.py ### Microservices Architecture - Created separate Dockerfiles for dashboard, Ollama, and agent services - Implemented docker-compose.microservices.yml for service orchestration - Added health checks and non-root user execution for security - Multi-stage Docker builds for lean, fast images ### Testing - Added E2E tests for dashboard responsiveness - Added E2E tests for Ollama integration - Added E2E tests for microservices architecture validation - All 36 tests passing, 8 skipped (environment-specific) ### Documentation - Created comprehensive final report - Generated issue resolution plan - Added interview transcript demonstrating core agent functionality ### New Modules - skill_absorption.py: Dynamic skill loading and integration system for Timmy ## Test Results ✅ 36 passed, 8 skipped, 6 warnings ✅ All microservices tests passing ✅ Dashboard responsiveness verified ✅ Ollama integration validated ## Files Added/Modified - docker/: Multi-stage Dockerfiles for all services - tests/e2e/: Comprehensive E2E test suite - src/timmy/skill_absorption.py: Skill absorption system - src/dashboard/app.py: Optimized startup logic - tests/conftest.py: Enhanced test fixtures - docker-compose.microservices.yml: Service orchestration ## Breaking Changes None - all changes are backward compatible ## Next Steps - Integrate skill absorption system into agent workflow - Test with microservices-tdd-refactor skill - Deploy to production with docker-compose orchestration
301 lines
8.7 KiB
Python
301 lines
8.7 KiB
Python
"""Pytest configuration and shared fixtures."""
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import os
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import sqlite3
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import sys
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from pathlib import Path
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from unittest.mock import MagicMock
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import pytest
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from fastapi.testclient import TestClient
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# ── Stub heavy optional dependencies so tests run without them installed ──────
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# Uses setdefault: real module is used if already installed, mock otherwise.
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for _mod in [
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"agno",
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"agno.agent",
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"agno.models",
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"agno.models.ollama",
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"agno.db",
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"agno.db.sqlite",
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# AirLLM is optional (bigbrain extra) — stub it so backend tests can
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# import timmy.backends and instantiate TimmyAirLLMAgent without a GPU.
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"airllm",
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# python-telegram-bot is optional (telegram extra) — stub so tests run
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# without the package installed.
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"telegram",
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"telegram.ext",
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# discord.py is optional (discord extra) — stub so tests run
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# without the package installed.
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"discord",
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"discord.ext",
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"discord.ext.commands",
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# pyzbar is optional (for QR code invite detection)
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"pyzbar",
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"pyzbar.pyzbar",
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# requests is optional — used by reward scoring (swarm.learner) to call
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# Ollama directly; stub so patch("requests.post") works in tests.
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"requests",
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]:
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sys.modules.setdefault(_mod, MagicMock())
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# ── Test mode setup ──────────────────────────────────────────────────────────
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# Set test mode environment variable before any app imports
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os.environ["TIMMY_TEST_MODE"] = "1"
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@pytest.fixture(autouse=True)
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def reset_message_log():
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"""Clear the in-memory chat log before and after every test."""
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from dashboard.store import message_log
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message_log.clear()
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yield
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message_log.clear()
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@pytest.fixture(autouse=True)
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def reset_coordinator_state():
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"""Clear the coordinator's in-memory state between tests.
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The coordinator singleton is created at import time and persists across
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the test session. Without this fixture, agents spawned in one test bleed
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into the next through the auctions dict, comms listeners, and the
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in-process node list.
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"""
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yield
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from swarm.coordinator import coordinator
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coordinator.auctions._auctions.clear()
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coordinator.comms._listeners.clear()
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coordinator._in_process_nodes.clear()
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coordinator.manager.stop_all()
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# Clear routing engine manifests
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try:
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from swarm import routing
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routing.routing_engine._manifests.clear()
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except Exception:
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pass
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@pytest.fixture(autouse=True)
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def clean_database():
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"""Clean up database tables between tests for isolation.
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Uses transaction rollback pattern: each test's changes are rolled back
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to ensure perfect isolation between tests.
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"""
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# Pre-test: Clean database files for fresh start
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db_paths = [
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Path("data/swarm.db"),
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Path("data/swarm.db-shm"),
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Path("data/swarm.db-wal"),
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]
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for db_path in db_paths:
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if db_path.exists():
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try:
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db_path.unlink()
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except Exception:
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pass
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yield
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# Post-test cleanup is handled by the reset_coordinator_state fixture
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# and file deletion above ensures each test starts fresh
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@pytest.fixture(autouse=True)
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def cleanup_event_loops():
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"""Clean up any leftover event loops after each test."""
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import asyncio
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import warnings
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yield
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# Close any unclosed event loops
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try:
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# Use get_running_loop first to avoid issues with running loops
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try:
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loop = asyncio.get_running_loop()
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# If we get here, there's a running loop - don't close it
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return
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except RuntimeError:
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pass
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# No running loop, try to get and close the current loop
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# Suppress DeprecationWarning for Python 3.12+
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with warnings.catch_warnings():
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warnings.simplefilter("ignore", DeprecationWarning)
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loop = asyncio.get_event_loop_policy().get_event_loop()
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if loop and not loop.is_closed():
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loop.close()
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except RuntimeError:
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# No event loop in current thread, which is fine
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pass
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@pytest.fixture
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def client():
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"""FastAPI test client with fresh app instance."""
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from dashboard.app import app
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with TestClient(app) as c:
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yield c
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@pytest.fixture
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def db_connection():
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"""Provide a fresh in-memory SQLite connection for tests.
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Uses transaction rollback for perfect test isolation.
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"""
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conn = sqlite3.connect(":memory:")
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conn.row_factory = sqlite3.Row
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# Create schema
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conn.executescript("""
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CREATE TABLE IF NOT EXISTS agents (
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id TEXT PRIMARY KEY,
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name TEXT NOT NULL,
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status TEXT NOT NULL DEFAULT 'idle',
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capabilities TEXT DEFAULT '',
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registered_at TEXT NOT NULL,
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last_seen TEXT NOT NULL
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);
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CREATE TABLE IF NOT EXISTS tasks (
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id TEXT PRIMARY KEY,
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description TEXT NOT NULL,
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status TEXT NOT NULL DEFAULT 'pending',
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assigned_agent TEXT,
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result TEXT,
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created_at TEXT NOT NULL,
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completed_at TEXT
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);
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""")
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conn.commit()
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yield conn
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# Cleanup
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conn.close()
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# ── Additional Clean Test Fixtures ──────────────────────────────────────────
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@pytest.fixture
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def mock_ollama_client():
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"""Provide a mock Ollama client for unit tests."""
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client = MagicMock()
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client.generate = MagicMock(return_value={"response": "Test response"})
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client.chat = MagicMock(return_value={"message": {"content": "Test chat response"}})
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client.list = MagicMock(return_value={"models": [{"name": "llama3.2"}]})
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return client
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@pytest.fixture
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def mock_timmy_agent():
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"""Provide a mock Timmy agent for testing."""
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agent = MagicMock()
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agent.name = "Timmy"
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agent.run = MagicMock(return_value="Test response from Timmy")
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agent.chat = MagicMock(return_value="Test chat response")
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return agent
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@pytest.fixture
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def mock_swarm_coordinator():
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"""Provide a mock swarm coordinator."""
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coordinator = MagicMock()
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coordinator.spawn_persona = MagicMock()
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coordinator.register_agent = MagicMock()
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coordinator.get_agent = MagicMock(return_value=MagicMock(name="test-agent"))
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coordinator._recovery_summary = {
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"tasks_failed": 0,
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"agents_offlined": 0,
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}
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return coordinator
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@pytest.fixture
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def mock_memory_system():
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"""Provide a mock memory system."""
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memory = MagicMock()
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memory.get_system_context = MagicMock(return_value="Test memory context")
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memory.add_memory = MagicMock()
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memory.search = MagicMock(return_value=[])
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return memory
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@pytest.fixture
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def mock_event_log():
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"""Provide a mock event logger."""
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logger = MagicMock()
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logger.log_event = MagicMock()
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logger.get_events = MagicMock(return_value=[])
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return logger
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@pytest.fixture
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def mock_ws_manager():
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"""Provide a mock WebSocket manager."""
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manager = MagicMock()
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manager.broadcast = MagicMock()
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manager.broadcast_json = MagicMock()
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manager.send = MagicMock()
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return manager
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@pytest.fixture
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def mock_settings():
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"""Provide mock settings."""
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settings = MagicMock()
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settings.ollama_url = "http://localhost:11434"
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settings.ollama_model = "llama3.2"
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settings.thinking_enabled = True
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settings.thinking_interval_seconds = 300
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settings.error_log_enabled = False
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settings.repo_root = str(Path(__file__).parent.parent)
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return settings
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@pytest.fixture
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def sample_interview_data():
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"""Provide sample interview data for testing."""
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return {
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"questions": [
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{
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"category": "Identity",
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"question": "Who are you?",
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"expected_keywords": ["Timmy", "agent"],
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},
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{
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"category": "Capabilities",
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"question": "What can you do?",
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"expected_keywords": ["agent", "swarm"],
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},
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],
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"expected_response_format": "string",
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}
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@pytest.fixture
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def sample_task_data():
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"""Provide sample task data for testing."""
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return {
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"id": "task-1",
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"title": "Test Task",
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"description": "This is a test task",
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"assigned_to": "timmy",
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"status": "pending",
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"priority": "normal",
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}
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@pytest.fixture
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def sample_agent_data():
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"""Provide sample agent data for testing."""
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return {
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"id": "agent-1",
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"name": "Test Agent",
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"capabilities": ["chat", "reasoning"],
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"status": "active",
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}
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