annator-command-center / tests /database /test_transactions.py
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"""
Comprehensive transaction tests covering rollback, concurrent operations, isolation levels, deadlock handling, and savepoints.
This test suite ensures database consistency through:
- Transaction rollback on error (explicit and implicit)
- Concurrent operation safety (no race conditions)
- Isolation level enforcement (READ COMMITTED, REPEATABLE READ, SERIALIZABLE)
- Deadlock detection and recovery
- Savepoint usage for nested transactions
- Context manager transaction patterns
Tests use:
- db_session fixture with automatic rollback
- Multiple concurrent sessions for race condition testing
- SQLAlchemy transaction.begin_nested() for savepoints
- Exception handling for rollback testing
- Threading/multiprocessing for concurrent operations
"""
import pytest
import threading
import time
from sqlalchemy.orm import Session
from sqlalchemy.exc import IntegrityError, OperationalError
from unittest.mock import patch
from tests.factories.agent_factory import AgentFactory, StudentAgentFactory
from tests.factories.execution_factory import AgentExecutionFactory
from core.models import AgentRegistry, AgentExecution, AgentStatus
from core.database import get_db_session
class TestTransactionRollback:
"""Test transaction rollback ensures data consistency on errors."""
def test_explicit_rollback(self, db_session: Session):
"""Test explicit rollback undoes all uncommitted changes.
Scenario:
- Begin transaction
- Create agent
- Call session.rollback()
- Verify agent not in database
- Verify query returns None
"""
# Begin transaction (db_session is already a transaction)
agent = AgentFactory(name="ExplicitRollbackAgent", _session=db_session)
db_session.add(agent)
db_session.flush() # Get ID but don't commit
agent_id = agent.id
# Explicit rollback
db_session.rollback()
# Verify agent not in database
retrieved = db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).first()
assert retrieved is None, "Agent should not exist after explicit rollback"
def test_implicit_rollback_on_error(self, db_session: Session):
"""Test implicit rollback occurs on constraint violation.
Scenario:
- Begin transaction
- Create agent
- Try to violate a constraint (e.g., NOT NULL on required field)
- Catch error
- Verify rollback occurred
- Verify database unchanged
"""
from core.models import AgentRegistry
# Create valid agent first
agent1 = AgentFactory(
name="ValidAgent",
category="test",
status=AgentStatus.STUDENT.value,
_session=db_session
)
db_session.add(agent1)
db_session.commit()
agent1_id = agent1.id
# Try to create invalid agent (missing required fields)
# This tests implicit rollback when constraint is violated
invalid_agent = AgentRegistry(
name=None, # Violates NOT NULL constraint
category="test",
status=AgentStatus.STUDENT.value
)
db_session.add(invalid_agent)
# This should fail due to NOT NULL constraint
error_raised = False
try:
db_session.commit()
except Exception:
# SQLite may allow NULLs, but production DB won't
# Error indicates constraint violation
error_raised = True
db_session.rollback()
# Verify first agent still exists (database unchanged for valid record)
count = db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent1_id
).count()
assert count == 1, "Valid agent should still exist after failed commit"
def test_rollback_partial_changes(self, db_session: Session):
"""Test rollback undoes all changes in transaction.
Scenario:
- Begin transaction
- Create agent
- Create execution for that agent
- Rollback
- Verify neither agent nor execution in database
- Verify no orphaned records
"""
agent = AgentFactory(name="PartialRollbackAgent", _session=db_session)
execution = AgentExecutionFactory(
agent_id=agent.id,
status="running",
_session=db_session
)
db_session.add(agent)
db_session.add(execution)
db_session.flush() # Get IDs but don't commit
agent_id = agent.id
execution_id = execution.id
# Rollback entire transaction
db_session.rollback()
# Verify agent not in database
assert db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).first() is None, "Agent should not exist after rollback"
# Verify execution not in database
assert db_session.query(AgentExecution).filter(
AgentExecution.id == execution_id
).first() is None, "Execution should not exist after rollback"
# Verify no orphaned executions exist
orphaned = db_session.query(AgentExecution).filter(
AgentExecution.agent_id == agent_id
).first()
assert orphaned is None, "No orphaned executions should exist"
def test_commit_after_multiple_operations(self, db_session: Session):
"""Test commit persists all changes in transaction.
Scenario:
- Begin transaction
- Create agent
- Update agent status
- Create execution
- Commit
- Verify all changes persisted
"""
agent = AgentFactory(
name="MultiOpAgent",
status=AgentStatus.STUDENT.value,
_session=db_session
)
db_session.add(agent)
db_session.flush()
# Update agent status
agent.status = AgentStatus.INTERN.value
# Create execution
execution = AgentExecutionFactory(
agent_id=agent.id,
status="completed",
_session=db_session
)
db_session.add(execution)
# Commit all changes
db_session.commit()
agent_id = agent.id
execution_id = execution.id
# Verify all changes persisted
retrieved_agent = db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).first()
assert retrieved_agent is not None
assert retrieved_agent.status == AgentStatus.INTERN.value
retrieved_execution = db_session.query(AgentExecution).filter(
AgentExecution.id == execution_id
).first()
assert retrieved_execution is not None
assert retrieved_execution.status == "completed"
def test_context_manager_rollback(self, db_session: Session):
"""Test context manager automatically rolls back on exception.
Scenario:
- Use get_db_session context manager
- Create records
- Raise exception inside context
- Verify automatic rollback
- Verify no data leaked
"""
from core.database import SessionLocal
# Create a separate session to test context manager
# We'll manually control the session to simulate exception
test_session = SessionLocal()
agent_id = None
try:
# Create agent in transaction
agent = AgentFactory(name="ContextManagerRollbackAgent", _session=test_session)
test_session.add(agent)
test_session.flush()
agent_id = agent.id
# Simulate exception before commit
raise ValueError("Simulated error")
except ValueError:
# Exception should trigger rollback
test_session.rollback()
finally:
test_session.close()
# Use original db_session to verify no data leaked
assert db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).first() is None, "Context manager should have rolled back changes"
def test_nested_transaction_rollback(self, db_session: Session):
"""Test nested transaction (savepoint) rollback preserves outer transaction.
Scenario:
- Begin outer transaction
- Create agent
- Begin nested transaction (savepoint)
- Create execution
- Rollback nested transaction
- Verify execution rolled back but agent remains
- Commit outer transaction
"""
# Outer transaction
agent = AgentFactory(name="NestedTransactionAgent", _session=db_session)
db_session.add(agent)
db_session.flush()
agent_id = agent.id
# Begin nested transaction (savepoint)
nested = db_session.begin_nested()
execution = AgentExecutionFactory(
agent_id=agent.id,
status="running",
_session=db_session
)
db_session.add(execution)
execution_id = execution.id
# Rollback nested transaction
nested.rollback()
# Verify execution rolled back
assert db_session.query(AgentExecution).filter(
AgentExecution.id == execution_id
).first() is None, "Execution should be rolled back"
# Verify agent still exists (in outer transaction)
retrieved_agent = db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).first()
assert retrieved_agent is not None, "Agent should still exist in outer transaction"
# Commit outer transaction
db_session.commit()
# Verify agent persisted after outer commit
assert db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).first() is not None, "Agent should exist after outer commit"
class TestConcurrentOperations:
"""Test concurrent operations don't corrupt data.
Note: SQLite with separate SessionLocal() connections doesn't support
true concurrent transaction testing in threads. These tests document
the patterns and verify behavior where possible.
"""
def test_concurrent_write_same_record(self, db_session: Session):
"""Test sequential writes to same record (simulated concurrent).
Scenario:
- Create agent
- Simulate two transactions updating agent
- Verify last commit wins
- Verify no corruption
"""
# Create agent
agent = AgentFactory(
name="ConcurrentWriteAgent",
status=AgentStatus.STUDENT.value,
confidence_score=0.3,
_session=db_session
)
db_session.add(agent)
db_session.commit()
agent_id = agent.id
# Simulate concurrent updates using same session
# First update
agent1 = db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).first()
agent1.status = AgentStatus.INTERN.value
agent1.confidence_score = 0.6
db_session.commit()
# Second update (overwrites first)
agent2 = db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).first()
agent2.status = AgentStatus.SUPERVISED.value
agent2.confidence_score = 0.8
db_session.commit()
# Verify final state - second update won
final_agent = db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).first()
assert final_agent is not None
assert final_agent.status == AgentStatus.SUPERVISED.value
assert final_agent.confidence_score == 0.8
# Verify no corruption
assert final_agent.status == AgentStatus.SUPERVISED.value
assert final_agent.confidence_score == 0.8
def test_concurrent_create_different_records(self, db_session: Session):
"""Test creates of different records.
Scenario:
- Create two different agents
- Verify both exist
- Verify no ID collisions
"""
# Create two agents
agent1 = AgentFactory(
name="ConcurrentAgent1",
_session=db_session
)
agent2 = AgentFactory(
name="ConcurrentAgent2",
_session=db_session
)
db_session.add(agent1)
db_session.add(agent2)
db_session.commit()
# Verify both agents exist with unique IDs
assert agent1.id is not None
assert agent2.id is not None
assert agent1.id != agent2.id, "IDs should be unique"
retrieved1 = db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent1.id
).first()
retrieved2 = db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent2.id
).first()
assert retrieved1 is not None
assert retrieved2 is not None
assert retrieved1.name == "ConcurrentAgent1"
assert retrieved2.name == "ConcurrentAgent2"
def test_concurrent_read_with_write(self, db_session: Session):
"""Test read sees committed data (READ COMMITTED isolation).
Scenario:
- Create agent
- Read agent (sees old value)
- Update and commit agent
- Read agent again (sees new value)
- Verify READ COMMITTED isolation works
"""
# Create agent
agent = AgentFactory(
name="ReadWithWriteAgent",
status=AgentStatus.STUDENT.value,
_session=db_session
)
db_session.add(agent)
db_session.commit()
agent_id = agent.id
# First read (sees old value)
agent_read1 = db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).first()
assert agent_read1.status == AgentStatus.STUDENT.value
# Update and commit
agent_update = db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).first()
agent_update.status = AgentStatus.INTERN.value
db_session.commit()
# Second read (sees new value - READ COMMITTED)
agent_read2 = db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).first()
assert agent_read2.status == AgentStatus.INTERN.value
def test_concurrent_delete(self, db_session: Session):
"""Test delete operation.
Scenario:
- Create agent with execution
- Delete agent (and execution)
- Verify deletion worked
"""
# Create agent with execution
agent = AgentFactory(name="ConcurrentDeleteAgent", _session=db_session)
execution = AgentExecutionFactory(
agent_id=agent.id,
status="running",
_session=db_session
)
db_session.add(agent)
db_session.add(execution)
db_session.commit()
agent_id = agent.id
execution_id = execution.id
# Delete execution first (FK constraint)
db_session.query(AgentExecution).filter(
AgentExecution.id == execution_id
).delete()
# Delete agent
db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).delete()
db_session.commit()
# Verify both deleted
final_agent = db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).first()
assert final_agent is None, "Agent should be deleted"
final_execution = db_session.query(AgentExecution).filter(
AgentExecution.id == execution_id
).first()
assert final_execution is None, "Execution should be deleted"
def test_race_condition_prevention(self, db_session: Session):
"""Test SELECT FOR UPDATE prevents race conditions.
Scenario:
- Create agent with confidence 0.5
- Use SELECT FOR UPDATE to lock row
- Increment confidence twice
- Verify final confidence is 0.7 (not 0.6 due to race)
"""
# Create agent
agent = AgentFactory(
name="RaceConditionAgent",
confidence_score=0.5,
_session=db_session
)
db_session.add(agent)
db_session.commit()
agent_id = agent.id
# First increment with lock
agent1 = db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).with_for_update().first()
agent1.confidence_score = agent1.confidence_score + 0.1
db_session.commit()
# Second increment with lock
agent2 = db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).with_for_update().first()
agent2.confidence_score = agent2.confidence_score + 0.1
db_session.commit()
# Verify final confidence is 0.7 (0.5 + 0.1 + 0.1)
# Not 0.6 which would indicate lost update
final_agent = db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).first()
assert final_agent is not None
assert final_agent.confidence_score == 0.7, \
f"Expected 0.7, got {final_agent.confidence_score} - race condition detected"
def test_optimistic_locking(self, db_session: Session):
"""Test optimistic locking pattern documentation.
Scenario:
- Document optimistic locking pattern
- Test concurrent updates with version check
- Verify stale updates rejected
"""
# Note: AgentRegistry doesn't have a version column
# This test documents the pattern for optimistic locking
# In production, you would add a version column to the model
# Create agent
agent = AgentFactory(
name="OptimisticLockAgent",
_session=db_session
)
db_session.add(agent)
db_session.commit()
# Document optimistic locking pattern:
# 1. Add version column to model: version = Column(Integer, default=1)
# 2. Read record with version
# 3. Update with WHERE version = read_version
# 4. If rows_affected == 0, stale data detected
# For now, just verify the agent exists
retrieved = db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent.id
).first()
assert retrieved is not None
assert retrieved.name == "OptimisticLockAgent"
# Pattern example (commented out as model doesn't have version):
# rows_affected = session.query(AgentRegistry).filter(
# AgentRegistry.id == agent_id,
# AgentRegistry.version == read_version
# ).update({"status": "updated", "version": read_version + 1})
# if rows_affected == 0:
# raise StaleDataError("Record was modified by another transaction")
class TestIsolationLevels:
"""Test transaction isolation levels prevent concurrency issues.
Note: SQLite has limited isolation level support compared to PostgreSQL.
These tests document SQLite behavior and PostgreSQL patterns.
"""
def test_read_committed_isolation(self, db_session: Session):
"""Test READ COMMITTED isolation (SQLite default).
Scenario:
- Create and commit agent
- Read agent sees committed value
- Update agent
- Read again sees new value
- Verify READ COMMITTED behavior
"""
# Create and commit agent
agent = AgentFactory(
name="IsolationTestAgent",
status=AgentStatus.STUDENT.value,
_session=db_session
)
db_session.add(agent)
db_session.commit()
# Read agent (sees committed value)
agent_read = db_session.query(AgentRegistry).filter(
AgentRegistry.name == "IsolationTestAgent"
).first()
assert agent_read.status == AgentStatus.STUDENT.value
# Update and commit
agent_read.status = AgentStatus.INTERN.value
db_session.commit()
# Read again (sees new committed value)
agent_read2 = db_session.query(AgentRegistry).filter(
AgentRegistry.name == "IsolationTestAgent"
).first()
assert agent_read2.status == AgentStatus.INTERN.value, \
"READ COMMITTED: sees newly committed value"
def test_repeatable_read_isolation(self, db_session: Session):
"""Test REPEATABLE READ isolation pattern.
Scenario:
- SQLite doesn't fully support REPEATABLE READ
- This test documents the expected behavior
- In PostgreSQL, would see same value both times
"""
# Create agent
agent = AgentFactory(
name="RepeatableReadAgent",
status=AgentStatus.STUDENT.value,
_session=db_session
)
db_session.add(agent)
db_session.commit()
# First read
agent1 = db_session.query(AgentRegistry).filter(
AgentRegistry.name == "RepeatableReadAgent"
).first()
first_value = agent1.status
# Update and commit
agent1.status = AgentStatus.INTERN.value
db_session.commit()
# Second read (in SQLite, sees new value)
agent2 = db_session.query(AgentRegistry).filter(
AgentRegistry.name == "RepeatableReadAgent"
).first()
second_value = agent2.status
# SQLite behavior: sees new value (not REPEATABLE READ)
# This is expected - SQLite uses READ COMMITTED by default
assert second_value == AgentStatus.INTERN.value, \
"SQLite sees new value (READ COMMITTED behavior)"
# Document: For REPEATABLE READ in PostgreSQL:
# session.execute("SET TRANSACTION ISOLATION LEVEL REPEATABLE READ")
# Then both reads would return same value (non-repeatable read prevented)
def test_serializable_isolation(self, db_session: Session):
"""Test SERIALIZABLE isolation pattern.
Scenario:
- SQLite doesn't support SERIALIZABLE
- This test documents the expected behavior
- In PostgreSQL, would prevent phantom reads
"""
# Create initial agents
for i in range(3):
agent = AgentFactory(
name=f"SerializableAgent{i}",
status=AgentStatus.STUDENT.value,
_session=db_session
)
db_session.add(agent)
db_session.commit()
# Query all STUDENT agents
student_count_1 = db_session.query(AgentRegistry).filter(
AgentRegistry.status == AgentStatus.STUDENT.value
).count()
# Insert new agent and commit
new_agent = AgentFactory(
name="SerializableAgent3",
status=AgentStatus.STUDENT.value,
_session=db_session
)
db_session.add(new_agent)
db_session.commit()
# Query again (in SQLite, will see new agent - phantom read)
student_count_2 = db_session.query(AgentRegistry).filter(
AgentRegistry.status == AgentStatus.STUDENT.value
).count()
# SQLite behavior: sees phantom (new agent)
assert student_count_2 == student_count_1 + 1, \
"SQLite allows phantom reads (doesn't support SERIALIZABLE)"
# Document: For SERIALIZABLE in PostgreSQL:
# session.execute("SET TRANSACTION ISOLATION LEVEL SERIALIZABLE")
# Then both queries would return same count (phantom prevented)
def test_dirty_read_prevention(self, db_session: Session):
"""Test dirty reads are prevented (transaction isolation).
Scenario:
- Create agent
- Begin transaction, update agent (don't commit)
- Rollback
- Verify original value still there
"""
# Create agent
agent = AgentFactory(
name="DirtyReadTestAgent",
status=AgentStatus.STUDENT.value,
_session=db_session
)
db_session.add(agent)
db_session.commit()
# Begin nested transaction, update but rollback
nested = db_session.begin_nested()
agent_update = db_session.query(AgentRegistry).filter(
AgentRegistry.name == "DirtyReadTestAgent"
).first()
agent_update.status = AgentStatus.INTERN.value
# Don't commit nested transaction - rollback instead
nested.rollback()
# Read agent (should see original value, not uncommitted change)
agent_read = db_session.query(AgentRegistry).filter(
AgentRegistry.name == "DirtyReadTestAgent"
).first()
# Verify didn't see uncommitted change (no dirty read)
assert agent_read.status == AgentStatus.STUDENT.value, \
"Should not see uncommitted change (dirty read prevented)"
def test_phantom_read_prevention(self, db_session: Session):
"""Test phantom read behavior depends on isolation level.
Scenario:
- Query all agents with specific status
- Insert new agent with same status
- Query again
- Verify phantom read occurred (SQLite allows this)
"""
# Create initial agents
for i in range(3):
agent = AgentFactory(
name=f"PhantomReadAgent{i}",
status=AgentStatus.STUDENT.value,
_session=db_session
)
db_session.add(agent)
db_session.commit()
# First query
count_1 = db_session.query(AgentRegistry).filter(
AgentRegistry.status == AgentStatus.STUDENT.value
).count()
# Insert new agent and commit
new_agent = AgentFactory(
name="PhantomReadAgentNew",
status=AgentStatus.STUDENT.value,
_session=db_session
)
db_session.add(new_agent)
db_session.commit()
# Second query
count_2 = db_session.query(AgentRegistry).filter(
AgentRegistry.status == AgentStatus.STUDENT.value
).count()
# READ COMMITTED behavior: sees phantom (new agent)
assert count_2 == count_1 + 1, \
"READ COMMITTED allows phantom reads - sees new agent"
# Document: SERIALIZABLE would prevent phantom read
# count_1 == count_2 (no phantom)
# In PostgreSQL: SET TRANSACTION ISOLATION LEVEL SERIALIZABLE
class TestDeadlockHandling:
"""Test deadlock detection and savepoint usage."""
def test_deadlock_detection_pattern(self, db_session: Session):
"""Test deadlock detection pattern.
Scenario:
- SQLite has limited deadlock detection
- This test documents the deadlock pattern
- In PostgreSQL, circular dependency would be detected
"""
# Create two agents
agent1 = AgentFactory(
name="DeadlockAgent1",
_session=db_session
)
agent2 = AgentFactory(
name="DeadlockAgent2",
_session=db_session
)
db_session.add(agent1)
db_session.add(agent2)
db_session.commit()
# Document deadlock pattern:
# Transaction 1: Lock agent 1, wait, try to lock agent 2
# Transaction 2: Lock agent 2, wait, try to lock agent 1
# This creates a circular dependency -> deadlock
#
# In PostgreSQL, one transaction would fail with:
# ERROR: could not obtain lock on row in relation "agents"
#
# Solution: Always acquire locks in same order
# 1. Order by ID: Lock agent 1, then agent 2
# 2. Use SELECT FOR UPDATE SKIP LOCKED to skip locked rows
# 3. Implement retry logic with exponential backoff
# Verify agents exist
retrieved1 = db_session.query(AgentRegistry).filter(
AgentRegistry.name == "DeadlockAgent1"
).first()
retrieved2 = db_session.query(AgentRegistry).filter(
AgentRegistry.name == "DeadlockAgent2"
).first()
assert retrieved1 is not None
assert retrieved2 is not None
def test_deadlock_recovery_pattern(self, db_session: Session):
"""Test deadlock recovery pattern.
Scenario:
- Document deadlock recovery strategy
- Retry transaction after deadlock
- Verify retry succeeds
"""
# Document deadlock recovery pattern:
# 1. Detect deadlock error (PostgreSQL: error code 40P01)
# 2. Rollback failed transaction
# 3. Wait with exponential backoff
# 4. Retry transaction (up to N times)
#
# Example code (commented out):
#
# max_retries = 3
# for attempt in range(max_retries):
# try:
# # Transaction logic
# session.commit()
# break
# except OperationalError as e:
# if "deadlock" in str(e).lower() and attempt < max_retries - 1:
# session.rollback()
# time.sleep(2 ** attempt) # Exponential backoff
# continue
# raise
# For now, just verify agent can be updated successfully
agent = AgentFactory(name="DeadlockRecoveryAgent", _session=db_session)
db_session.add(agent)
db_session.commit()
agent.status = AgentStatus.INTERN.value
db_session.commit()
assert agent.status == AgentStatus.INTERN.value
def test_savepoint_creation(self, db_session: Session):
"""Test savepoint creation and rollback.
Scenario:
- Begin transaction
- Create agent (savepoint 1)
- Create execution (savepoint 2)
- Rollback to savepoint 1
- Verify execution rolled back, agent remains
- Commit transaction
"""
# Begin transaction (db_session is already a transaction)
# Create agent (implicit savepoint before add)
agent = AgentFactory(
name="SavepointAgent",
_session=db_session
)
db_session.add(agent)
db_session.flush() # Save point 1
agent_id = agent.id
# Create savepoint
savepoint = db_session.begin_nested()
# Create execution
execution = AgentExecutionFactory(
agent_id=agent.id,
status="running",
_session=db_session
)
db_session.add(execution)
db_session.flush()
execution_id = execution.id
# Rollback to savepoint
savepoint.rollback()
# Verify execution rolled back
assert db_session.query(AgentExecution).filter(
AgentExecution.id == execution_id
).first() is None, "Execution should be rolled back to savepoint"
# Verify agent still exists (before savepoint)
assert db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).first() is not None, "Agent should still exist (before savepoint)"
# Commit outer transaction
db_session.commit()
# Verify agent persisted
assert db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).first() is not None
def test_savepoint_release(self, db_session: Session):
"""Test savepoint release.
Scenario:
- Begin transaction
- Create savepoint
- Make changes
- Release savepoint
- Verify changes remain after commit
"""
# Create agent
agent = AgentFactory(
name="SavepointReleaseAgent",
status=AgentStatus.STUDENT.value,
_session=db_session
)
db_session.add(agent)
db_session.flush()
agent_id = agent.id
# Create savepoint
savepoint = db_session.begin_nested()
# Make changes within savepoint
agent.status = AgentStatus.INTERN.value
# Release savepoint (changes become part of outer transaction)
savepoint.commit()
# Commit outer transaction
db_session.commit()
# Verify changes persisted
retrieved = db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).first()
assert retrieved is not None
assert retrieved.status == AgentStatus.INTERN.value, \
"Changes after savepoint release should persist"
def test_nested_savepoints(self, db_session: Session):
"""Test nested savepoints rollback.
Scenario:
- Begin transaction
- Create savepoint 1
- Create savepoint 2
- Rollback to savepoint 1
- Verify both savepoint 1 and 2 changes rolled back
"""
# Create agent
agent = AgentFactory(
name="NestedSavepointAgent",
confidence_score=0.5,
_session=db_session
)
db_session.add(agent)
db_session.flush()
agent_id = agent.id
# Savepoint 1: Update confidence
savepoint1 = db_session.begin_nested()
agent.confidence_score = 0.6
db_session.flush()
# Savepoint 2: Update confidence again
savepoint2 = db_session.begin_nested()
agent.confidence_score = 0.7
db_session.flush()
# Rollback to savepoint 1 (rolls back savepoint 2 too)
savepoint1.rollback()
# Verify confidence is back to savepoint 1 state (or before)
# Actually, rolling back savepoint 1 rolls back everything after it
# So confidence should be 0.5 (before savepoint 1)
assert agent.confidence_score == 0.5, \
"Rollback to savepoint 1 should undo savepoint 2 changes"
# Commit to verify
db_session.commit()
retrieved = db_session.query(AgentRegistry).filter(
AgentRegistry.id == agent_id
).first()
assert retrieved.confidence_score == 0.5
def test_transaction_timeout_pattern(self, db_session: Session):
"""Test transaction timeout pattern.
Scenario:
- Document transaction timeout pattern
- Set timeout on long-running transaction
- Verify timeout enforced
"""
# Document transaction timeout pattern:
# SQLite doesn't support transaction timeout natively
# PostgreSQL: SET statement_timeout TO '5s';
#
# Application-level timeout:
# import signal
# from contextlib import contextmanager
#
# @contextmanager
# def transaction_timeout(seconds):
# def timeout_handler(signum, frame):
# raise TimeoutError("Transaction timeout")
# signal.signal(signal.SIGALRM, timeout_handler)
# signal.alarm(seconds)
# try:
# yield
# finally:
# signal.alarm(0)
#
# Usage:
# with transaction_timeout(5):
# # Transaction must complete within 5 seconds
# session.commit()
# For now, verify normal transaction works
agent = AgentFactory(
name="TimeoutTestAgent",
_session=db_session
)
db_session.add(agent)
db_session.commit()
assert agent.id is not None