annator-command-center / tests /e2e /fixtures /database_fixtures.py
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"""
Database-specific fixtures for E2E testing.
This module provides reusable fixtures for PostgreSQL, SQLite (Personal Edition),
Alembic migrations, data seeding, backup/restore operations, and connection pooling.
All fixtures are designed for end-to-end testing with real database services.
"""
import os
import sys
import tempfile
import subprocess
from pathlib import Path
from typing import Generator, Dict, Any
import pytest
from sqlalchemy import create_engine, inspect
from sqlalchemy.orm import sessionmaker, Session
from sqlalchemy.pool import QueuePool
# Add backend to path
backend_dir = Path(__file__).parent.parent.parent.parent
sys.path.insert(0, str(backend_dir))
from core.models import Base, AgentRegistry, AgentExecution
from datetime import datetime
import uuid
# =============================================================================
# PostgreSQL Engine Fixtures
# =============================================================================
@pytest.fixture(scope="session")
def e2e_postgres_engine():
"""
Create PostgreSQL engine for E2E tests.
This session-scoped fixture creates a single PostgreSQL engine
that is reused across all tests in the session. The engine uses
connection pooling for efficient database access.
Connection: postgresql://e2e_tester:test_password@localhost:5433/atom_e2e_test
Pool size: 10 connections
Max overflow: 20 additional connections
Yields:
SQLAlchemy Engine instance configured for PostgreSQL
"""
database_url = "postgresql://e2e_tester:test_password@localhost:5433/atom_e2e_test"
print(f"\n=== Creating PostgreSQL Engine ===")
print(f"Database URL: {database_url}")
engine = create_engine(
database_url,
pool_size=10,
max_overflow=20,
pool_pre_ping=True, # Verify connections before using
pool_recycle=3600, # Recycle connections every hour
echo=False, # Set to True for SQL query debugging
)
# Verify connection
try:
with engine.connect() as conn:
conn.execute(sqlalchemy.text("SELECT 1"))
print("PostgreSQL engine created successfully")
except Exception as e:
pytest.skip(f"Failed to connect to PostgreSQL: {e}")
yield engine
# Cleanup: Dispose engine
print("\n=== Disposing PostgreSQL Engine ===")
engine.dispose()
@pytest.fixture(scope="function")
def e2e_postgres_session(e2e_postgres_engine) -> Generator[Session, None, None]:
"""
Create PostgreSQL session for testing.
This function-scoped fixture creates a fresh database session
for each test. All changes are rolled back after the test
to maintain test isolation.
Yields:
SQLAlchemy Session instance
"""
Session = sessionmaker(bind=e2e_postgres_engine, autocommit=False, autoflush=False)
session = Session()
print(f"\n=== Created PostgreSQL Session ===")
try:
yield session
finally:
session.rollback()
session.close()
print("\n=== Closed PostgreSQL Session ===")
# =============================================================================
# SQLite Engine Fixtures (Personal Edition)
# =============================================================================
@pytest.fixture(scope="function")
def e2e_sqlite_engine():
"""
Create SQLite engine for Personal Edition testing.
This function-scoped fixture creates a temporary SQLite database
file for testing Personal Edition database operations. The file
is automatically cleaned up after the test.
Uses a unique temp file for each test to ensure isolation.
Yields:
Tuple of (SQLAlchemy Engine, temp file path)
"""
import tempfile
import os
# Use temp file for isolation
fd, path = tempfile.mkstemp(suffix=".db", prefix="atom_e2e_")
os.close(fd) # Close file descriptor
print(f"\n=== Creating SQLite Engine (Personal Edition) ===")
print(f"Database file: {path}")
engine = create_engine(
f"sqlite:///{path}",
connect_args={"check_same_thread": False},
echo=False,
)
# Create tables for Personal Edition schema
try:
Base.metadata.create_all(engine, checkfirst=True)
print("SQLite tables created successfully")
except Exception as e:
print(f"Warning: Some tables may have failed to create: {e}")
yield engine, path
# Cleanup: Close engine and delete temp file
print(f"\n=== Cleaning up SQLite Database ===")
engine.dispose()
try:
os.remove(path)
print(f"Deleted temporary database: {path}")
except Exception as e:
print(f"Warning: Failed to delete temp file {path}: {e}")
@pytest.fixture(scope="function")
def e2e_sqlite_session(e2e_sqlite_engine) -> Generator[Session, None, None]:
"""
Create SQLite session for testing.
This function-scoped fixture creates a fresh SQLite session
for testing Personal Edition database operations.
Yields:
SQLAlchemy Session instance
"""
engine, path = e2e_sqlite_engine
Session = sessionmaker(bind=engine, autocommit=False, autoflush=False)
session = Session()
print(f"\n=== Created SQLite Session (Personal Edition) ===")
try:
yield session
finally:
session.rollback()
session.close()
print("\n=== Closed SQLite Session ===")
# =============================================================================
# Migration Fixture
# =============================================================================
@pytest.fixture(scope="function")
def fresh_database(e2e_postgres_engine):
"""
Create fresh database with all migrations.
This fixture runs all Alembic migrations to create a fresh
database schema. After the test, all tables are dropped.
Use this fixture when testing migration behavior or when
you need a clean database with the complete schema.
Yields:
SQLAlchemy Engine with all migrations applied
"""
from alembic import config as main as alembic_main
from alembic.script import ScriptDirectory
from alembic.runtime.environment import EnvironmentContext
import sqlalchemy
print(f"\n=== Running Alembic Migrations ===")
# Configure Alembic
config = Config("alembic.ini")
config.set_main_option(
"sqlalchemy.url",
"postgresql://e2e_tester:test_password@localhost:5433/atom_e2e_test"
)
# Get migration directory
script = ScriptDirectory.from_config(config)
# Run all migrations to head
with e2e_postgres_engine.begin() as connection:
context = EnvironmentContext(config, script)
def upgrade(rev, context):
return script._upgrade_revs("head", rev)
context.configure(
connection=connection,
target_metadata=Base.metadata,
fn=upgrade
)
context.run_migrations()
print("All migrations applied successfully")
yield e2e_postgres_engine
# Teardown: Drop all tables
print(f"\n=== Dropping All Tables ===")
try:
Base.metadata.drop_all(e2e_postgres_engine)
print("All tables dropped successfully")
except Exception as e:
print(f"Warning: Failed to drop tables: {e}")
# =============================================================================
# Data Seeding Fixture
# =============================================================================
@pytest.fixture(scope="function")
def seed_test_data(e2e_postgres_session) -> Dict[str, Any]:
"""
Seed database with test data.
This fixture creates realistic test data for E2E tests:
- 5 test agents (varying maturity levels)
- 15 test executions (3 per agent)
- Random UUIDs for uniqueness
Yields:
Dictionary with 'agents' and 'executions' lists
"""
print(f"\n=== Seeding Test Data ===")
# Create test agents
agents = []
maturity_levels = ["STUDENT", "INTERN", "SUPERVISED", "AUTONOMOUS"]
for i in range(5):
agent = AgentRegistry(
id=f"test-agent-{uuid.uuid4().hex[:8]}",
name=f"Test Agent {i}",
description=f"E2E test agent {i}",
category="Testing",
module_path="test",
class_name="TestAgent",
status=maturity_levels[i % len(maturity_levels)],
confidence_score=0.5 + (i * 0.1),
configuration={"test": True, "e2e": True},
)
e2e_postgres_session.add(agent)
agents.append(agent)
# Create test executions
executions = []
for agent in agents:
for j in range(3):
execution = AgentExecution(
agent_id=agent.id,
user_id=f"test-user-{uuid.uuid4().hex[:8]}",
status="completed" if j < 2 else "failed",
input_data={"test": f"data-{j}", "index": j},
output_data={"result": f"output-{j}", "agent": agent.name} if j < 2 else None,
error_message=f"Test error {j}" if j == 2 else None,
started_at=datetime.utcnow(),
completed_at=datetime.utcnow() if j < 2 else None,
)
e2e_postgres_session.add(execution)
executions.append(execution)
e2e_postgres_session.commit()
print(f"Created {len(agents)} agents and {len(executions)} executions")
yield {"agents": agents, "executions": executions}
# =============================================================================
# Backup/Restore Fixture
# =============================================================================
@pytest.fixture(scope="function")
def database_backup(e2e_postgres_engine):
"""
Create and restore database backups.
This fixture provides backup and restore functions for PostgreSQL
database testing. Backups are created using pg_dump and restored
using psql.
The backup file is automatically cleaned up after the test.
Yields:
Dictionary with 'backup' and 'restore' functions
"""
import tempfile
import os
backup_file = tempfile.mktemp(suffix=".sql", prefix="atom_e2e_backup_")
print(f"\n=== Database Backup Fixture Initialized ===")
print(f"Backup file: {backup_file}")
def backup():
"""
Create database backup using pg_dump.
Returns:
Path to backup file
"""
print(f"\n=== Creating Database Backup ===")
try:
result = subprocess.run([
"pg_dump",
"postgresql://e2e_tester:test_password@localhost:5433/atom_e2e_test",
"-f", backup_file,
"--no-owner",
"--no-acl"
], check=True, capture_output=True, text=True, timeout=30)
print(f"Backup created successfully: {backup_file}")
print(f"Backup size: {os.path.getsize(backup_file)} bytes")
return backup_file
except subprocess.TimeoutExpired:
pytest.skip("pg_dump timed out - database may be slow")
except subprocess.CalledProcessError as e:
pytest.skip(f"pg_dump failed: {e.stderr}")
except Exception as e:
pytest.skip(f"Backup failed: {e}")
def restore(backup_path=backup_file):
"""
Restore database from backup using psql.
Args:
backup_path: Path to backup file (defaults to latest backup)
"""
print(f"\n=== Restoring Database from Backup ===")
print(f"Backup file: {backup_path}")
if not os.path.exists(backup_path):
raise FileNotFoundError(f"Backup file not found: {backup_path}")
try:
result = subprocess.run([
"psql",
"postgresql://e2e_tester:test_password@localhost:5433/atom_e2e_test",
"-f", backup_path
], check=True, capture_output=True, text=True, timeout=30)
print("Database restored successfully")
except subprocess.TimeoutExpired:
pytest.skip("psql timed out - database may be slow")
except subprocess.CalledProcessError as e:
pytest.skip(f"psql failed: {e.stderr}")
except Exception as e:
pytest.skip(f"Restore failed: {e}")
yield {"backup": backup, "restore": restore}
# Cleanup: Delete backup file
print(f"\n=== Cleaning up Backup File ===")
try:
if os.path.exists(backup_file):
os.remove(backup_file)
print(f"Deleted backup file: {backup_file}")
except Exception as e:
print(f"Warning: Failed to delete backup file {backup_file}: {e}")
# =============================================================================
# Connection Pool Fixture
# =============================================================================
@pytest.fixture(scope="function")
def connection_pool():
"""
Test connection pooling behavior.
This fixture creates a PostgreSQL engine with a small connection
pool for testing pool behavior under load:
- Pool size: 5 connections
- Max overflow: 2 additional connections
- Pool timeout: 30 seconds
Use this fixture to test connection reuse, pool exhaustion,
and connection cleanup.
Yields:
SQLAlchemy Engine with configured connection pool
"""
database_url = "postgresql://e2e_tester:test_password@localhost:5433/atom_e2e_test"
print(f"\n=== Creating Connection Pool Engine ===")
print(f"Pool size: 5, Max overflow: 2, Timeout: 30s")
engine = create_engine(
database_url,
poolclass=QueuePool,
pool_size=5,
max_overflow=2,
pool_timeout=30,
pool_pre_ping=True,
echo=False,
)
# Verify connection
try:
with engine.connect() as conn:
from sqlalchemy import text
conn.execute(text("SELECT 1"))
print("Connection pool engine created successfully")
except Exception as e:
pytest.skip(f"Failed to create connection pool: {e}")
yield engine
# Cleanup: Dispose engine and close all connections
print(f"\n=== Disposing Connection Pool ===")
engine.dispose()
# =============================================================================
# Cross-Platform SQLite Fixture
# =============================================================================
@pytest.fixture(scope="function")
def cross_platform_sqlite():
"""
Create SQLite databases on different platforms for testing.
This fixture creates multiple SQLite databases with different
configurations to test cross-platform compatibility for
Personal Edition.
Tests:
- WAL mode (Write-Ahead Logging) for concurrent access
- Different journal modes
- Different cache sizes
Yields:
Dictionary with configured SQLite engines
"""
import tempfile
import os
print(f"\n=== Creating Cross-Platform SQLite Engines ===")
engines = {}
configs = {
"default": {},
"wal_mode": {"journal_mode": "WAL"},
"memory": {"cache_size": "-10000"}, # 10MB cache
}
for name, pragmas in configs.items():
fd, path = tempfile.mkstemp(suffix=".db", prefix=f"atom_cross_{name}_")
os.close(fd)
engine = create_engine(f"sqlite:///{path}", echo=False)
# Apply pragmas
with engine.connect() as conn:
from sqlalchemy import text
for key, value in pragmas.items():
conn.execute(text(f"PRAGMA {key} = {value}"))
conn.commit()
# Create tables
try:
Base.metadata.create_all(engine, checkfirst=True)
except Exception as e:
print(f"Warning: Failed to create tables for {name}: {e}")
engines[name] = {"engine": engine, "path": path}
print(f"Created {name} SQLite engine: {path}")
yield engines
# Cleanup: Delete all temp databases
print(f"\n=== Cleaning up Cross-Platform SQLite Databases ===")
for name, data in engines.items():
try:
data["engine"].dispose()
os.remove(data["path"])
print(f"Deleted {name}: {data['path']}")
except Exception as e:
print(f"Warning: Failed to delete {name}: {e}")