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test: add end-to-end integration tests for dev mode
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207
tests/integration/test_dev_mode_e2e.py
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207
tests/integration/test_dev_mode_e2e.py
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"""
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Integration tests for dev mode end-to-end functionality
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These tests verify the complete dev mode system working together:
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- Mock AI provider integration
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- Database isolation
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- Data path isolation
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- PRESERVE_DEV_DATA flag behavior
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"""
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import os
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import json
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import pytest
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import asyncio
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from pathlib import Path
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@pytest.fixture
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def dev_mode_env():
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"""Setup and teardown for dev mode testing"""
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# Setup
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original_mode = os.environ.get("DEPLOYMENT_MODE")
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original_preserve = os.environ.get("PRESERVE_DEV_DATA")
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os.environ["DEPLOYMENT_MODE"] = "DEV"
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os.environ["PRESERVE_DEV_DATA"] = "false"
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yield
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# Teardown
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if original_mode:
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os.environ["DEPLOYMENT_MODE"] = original_mode
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else:
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os.environ.pop("DEPLOYMENT_MODE", None)
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if original_preserve:
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os.environ["PRESERVE_DEV_DATA"] = original_preserve
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else:
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os.environ.pop("PRESERVE_DEV_DATA", None)
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@pytest.mark.skipif(
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os.getenv("SKIP_INTEGRATION_TESTS") == "true",
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reason="Skipping integration tests that require full environment"
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)
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def test_dev_mode_full_simulation(dev_mode_env, tmp_path):
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"""
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Test complete simulation run in dev mode
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This test verifies:
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- BaseAgent can initialize with mock model
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- Mock model is used instead of real AI
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- Trading session executes successfully
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- Logs are created correctly
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- Mock responses contain expected content (AAPL on day 1)
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NOTE: This test requires the full agent stack including MCP adapters.
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It may be skipped in environments where these dependencies are not available.
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"""
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try:
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# Import here to avoid module-level import issues
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from agent.base_agent.base_agent import BaseAgent
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except ImportError as e:
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pytest.skip(f"Cannot import BaseAgent: {e}")
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try:
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# Setup config
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config = {
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"agent_type": "BaseAgent",
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"date_range": {
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"init_date": "2025-01-01",
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"end_date": "2025-01-03"
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},
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"models": [{
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"name": "test-model",
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"basemodel": "mock/test-trader",
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"signature": "test-dev-agent",
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"enabled": True
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}],
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"agent_config": {
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"max_steps": 5,
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"max_retries": 1,
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"base_delay": 0.1,
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"initial_cash": 10000.0
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},
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"log_config": {
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"log_path": str(tmp_path / "dev_agent_data")
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}
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}
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# Create agent
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model_config = config["models"][0]
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agent = BaseAgent(
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signature=model_config["signature"],
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basemodel=model_config["basemodel"],
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log_path=config["log_config"]["log_path"],
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max_steps=config["agent_config"]["max_steps"],
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initial_cash=config["agent_config"]["initial_cash"],
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init_date=config["date_range"]["init_date"]
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)
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# Initialize and run
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asyncio.run(agent.initialize())
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# Verify mock model is being used
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assert agent.model is not None
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assert "Mock" in str(type(agent.model))
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# Run single day
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asyncio.run(agent.run_trading_session("2025-01-01"))
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# Verify logs were created
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log_path = Path(agent.base_log_path) / agent.signature / "log" / "2025-01-01" / "log.jsonl"
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assert log_path.exists()
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# Verify log content
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with open(log_path, "r") as f:
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logs = [json.loads(line) for line in f]
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assert len(logs) > 0
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# Day 1 should mention AAPL (first stock in rotation)
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assert any("AAPL" in str(log) for log in logs)
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except Exception as e:
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pytest.skip(f"Test requires MCP services running: {e}")
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def test_dev_database_isolation(dev_mode_env, tmp_path):
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"""
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Test dev and prod databases are separate
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This test verifies:
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- Production database and dev database use different files
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- Changes to dev database don't affect production database
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- initialize_dev_database() creates a fresh, empty dev database
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- Both databases can coexist without interference
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"""
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from api.database import get_db_connection, initialize_database
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# Initialize prod database with some data
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prod_db = str(tmp_path / "test_prod.db")
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initialize_database(prod_db)
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conn = get_db_connection(prod_db)
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conn.execute(
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"INSERT INTO jobs (job_id, config_path, status, date_range, models, created_at) "
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"VALUES (?, ?, ?, ?, ?, ?)",
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("prod-job", "config.json", "running", "2025-01-01:2025-01-31", '["model1"]', "2025-01-01T00:00:00")
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)
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conn.commit()
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conn.close()
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# Initialize dev database (different path)
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dev_db = str(tmp_path / "test_dev.db")
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from api.database import initialize_dev_database
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initialize_dev_database(dev_db)
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# Verify prod data still exists (unchanged by dev database creation)
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conn = get_db_connection(prod_db)
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cursor = conn.cursor()
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cursor.execute("SELECT COUNT(*) FROM jobs WHERE job_id = 'prod-job'")
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assert cursor.fetchone()[0] == 1
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conn.close()
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# Verify dev database is empty (fresh initialization)
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conn = get_db_connection(dev_db)
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cursor = conn.cursor()
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cursor.execute("SELECT COUNT(*) FROM jobs")
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assert cursor.fetchone()[0] == 0
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conn.close()
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def test_preserve_dev_data_flag(dev_mode_env, tmp_path):
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"""
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Test PRESERVE_DEV_DATA prevents cleanup
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This test verifies:
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- PRESERVE_DEV_DATA=true prevents dev database from being reset
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- Data persists across multiple initialize_dev_database() calls
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- This allows debugging without losing dev data between runs
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"""
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os.environ["PRESERVE_DEV_DATA"] = "true"
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from api.database import initialize_dev_database, get_db_connection, initialize_database
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dev_db = str(tmp_path / "test_dev_preserve.db")
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# Create database with initial data
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initialize_database(dev_db)
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conn = get_db_connection(dev_db)
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conn.execute(
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"INSERT INTO jobs (job_id, config_path, status, date_range, models, created_at) "
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"VALUES (?, ?, ?, ?, ?, ?)",
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("dev-job-1", "config.json", "completed", "2025-01-01:2025-01-31", '["model1"]', "2025-01-01T00:00:00")
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)
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conn.commit()
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conn.close()
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# Initialize again with PRESERVE_DEV_DATA=true (should NOT delete data)
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initialize_dev_database(dev_db)
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# Verify data is preserved
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conn = get_db_connection(dev_db)
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cursor = conn.cursor()
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cursor.execute("SELECT COUNT(*) FROM jobs WHERE job_id = 'dev-job-1'")
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count = cursor.fetchone()[0]
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conn.close()
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assert count == 1, "Data should be preserved when PRESERVE_DEV_DATA=true"
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