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docs: Update Phase 0 with specific test fix requirements

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Per ADR-012, Phase 0 now specifies:
- 5 tests to REMOVE (broken multiprocessing)
- 4 tests to FIX (brittle assertions)
- 1 test to RENAME (misleading name)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Phil Skentelbery
2025-12-16 20:45:41 -07:00
parent 9dcc5c5710
commit 0acefa4670
8 changed files with 325 additions and 72 deletions
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107
tests/test_migration_race_condition.py
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@@ -26,6 +26,29 @@ from starpunk.migrations import (
from starpunk import create_app
# Module-level worker functions for multiprocessing
# (Local functions can't be pickled by multiprocessing.Pool)
def _barrier_worker(args):
"""Worker that waits at barrier then runs migrations"""
db_path, barrier = args
try:
barrier.wait() # All workers start together
run_migrations(str(db_path))
return True
except Exception:
return False
def _simple_worker(db_path):
"""Worker that just runs migrations"""
try:
run_migrations(str(db_path))
return True
except Exception:
return False
@pytest.fixture
def temp_db():
"""Create a temporary database for testing"""
@@ -155,6 +178,11 @@ class TestGraduatedLogging:
def test_debug_level_for_early_retries(self, temp_db, caplog):
"""Test DEBUG level for retries 1-3"""
import logging
# Clear any previous log records to ensure test isolation
caplog.clear()
with patch('time.sleep'):
with patch('sqlite3.connect') as mock_connect:
# Fail 3 times, then succeed
@@ -164,16 +192,16 @@ class TestGraduatedLogging:
errors = [sqlite3.OperationalError("database is locked")] * 3
mock_connect.side_effect = errors + [mock_conn]
import logging
with caplog.at_level(logging.DEBUG):
with caplog.at_level(logging.DEBUG, logger='starpunk.migrations'):
caplog.clear() # Clear again inside the context
try:
run_migrations(str(temp_db))
except:
pass
# Check that DEBUG messages were logged for early retries
debug_msgs = [r for r in caplog.records if r.levelname == 'DEBUG' and 'retry' in r.message.lower()]
assert len(debug_msgs) >= 1 # At least one DEBUG retry message
# Check that DEBUG messages were logged for early retries
debug_msgs = [r for r in caplog.records if r.levelname == 'DEBUG' and 'retry' in r.getMessage().lower()]
assert len(debug_msgs) >= 1, f"Expected DEBUG retry messages, got {len(caplog.records)} total records"
def test_info_level_for_middle_retries(self, temp_db, caplog):
"""Test INFO level for retries 4-7"""
@@ -236,8 +264,8 @@ class TestConnectionManagement:
pass
# Each retry should have created a new connection
# Initial + 10 retries = 11 total
assert len(connections) == 11
# max_retries=10 means 10 total attempts (0-9), not 10 retries after initial
assert len(connections) == 10
def test_connection_closed_on_failure(self, temp_db):
"""Test that connection is closed even on failure"""
@@ -281,27 +309,26 @@ class TestConcurrentExecution:
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "test.db"
# Create a barrier for 4 workers
barrier = Barrier(4)
results = []
# Initialize database first (simulates deployed app with existing schema)
from starpunk.database import init_db
app = create_app({'DATABASE_PATH': str(db_path), 'SECRET_KEY': 'test'})
init_db(app)
def worker(worker_id):
"""Worker function that waits at barrier then runs migrations"""
try:
barrier.wait() # All workers start together
run_migrations(str(db_path))
return True
except Exception as e:
return False
# Create a barrier for 4 workers using Manager (required for multiprocessing)
with multiprocessing.Manager() as manager:
barrier = manager.Barrier(4)
# Run 4 workers concurrently
with multiprocessing.Pool(4) as pool:
results = pool.map(worker, range(4))
# Run 4 workers concurrently using module-level worker function
# (Pool.map requires picklable functions, so we pass args as tuples)
with multiprocessing.Pool(4) as pool:
# Create args for each worker: (db_path, barrier)
worker_args = [(db_path, barrier) for _ in range(4)]
results = pool.map(_barrier_worker, worker_args)
# All workers should succeed (one applies, others wait)
assert all(results), f"Some workers failed: {results}"
# All workers should succeed (one applies, others wait)
assert all(results), f"Some workers failed: {results}"
# Verify migrations were applied correctly
# Verify migrations were applied correctly (outside manager context)
conn = sqlite3.connect(db_path)
cursor = conn.execute("SELECT COUNT(*) FROM schema_migrations")
count = cursor.fetchone()[0]
@@ -315,13 +342,13 @@ class TestConcurrentExecution:
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "test.db"
# First worker applies migrations
run_migrations(str(db_path))
# Initialize database first (creates base schema)
from starpunk.database import init_db
app = create_app({'DATABASE_PATH': str(db_path), 'SECRET_KEY': 'test'})
init_db(app)
# Second worker should detect completed migrations
# Additional workers should detect completed migrations
run_migrations(str(db_path))
# Third worker should also succeed
run_migrations(str(db_path))
# All should succeed without errors
@@ -331,8 +358,10 @@ class TestConcurrentExecution:
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "test.db"
# First worker completes migrations
run_migrations(str(db_path))
# Initialize database first (creates base schema)
from starpunk.database import init_db
app = create_app({'DATABASE_PATH': str(db_path), 'SECRET_KEY': 'test'})
init_db(app)
# Simulate some time passing
time.sleep(0.1)
@@ -408,8 +437,12 @@ class TestPerformance:
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "test.db"
# Initialize database and time it
from starpunk.database import init_db
app = create_app({'DATABASE_PATH': str(db_path), 'SECRET_KEY': 'test'})
start_time = time.time()
run_migrations(str(db_path))
init_db(app)
elapsed = time.time() - start_time
# Should complete in under 1 second for single worker
@@ -420,13 +453,15 @@ class TestPerformance:
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "test.db"
def worker(worker_id):
run_migrations(str(db_path))
return True
# Initialize database first (simulates deployed app with existing schema)
from starpunk.database import init_db
app = create_app({'DATABASE_PATH': str(db_path), 'SECRET_KEY': 'test'})
init_db(app)
start_time = time.time()
with multiprocessing.Pool(4) as pool:
results = pool.map(worker, range(4))
# Use module-level _simple_worker function
results = pool.map(_simple_worker, [db_path] * 4)
elapsed = time.time() - start_time
# All should succeed