diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 23c8ace..feb35af 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -54,3 +54,45 @@ jobs: - name: Report coverage run: | uv run coverage report --show-missing --skip-covered --include 'steady_queue/**' + + stress-test: + runs-on: ubuntu-latest + + services: + postgres: + image: postgres:17.4-alpine + env: + POSTGRES_DB: app + POSTGRES_USER: steady_queue + POSTGRES_PASSWORD: steady_queue + ports: + - 5432:5432 + options: >- + --health-cmd "pg_isready -U steady_queue -d postgres" + --health-interval 5s + --health-timeout 5s + --health-retries 10 + + steps: + - uses: actions/checkout@v4 + + - name: Set up Python + uses: actions/setup-python@v3 + with: + python-version: "3.14" + + - name: Install UV + run: | + python -m pip install uv==0.10.2 + + - name: Install dependencies + run: | + uv sync + + - name: Create queue database + run: | + PGPASSWORD=steady_queue psql -h localhost -U steady_queue -d postgres -c "CREATE DATABASE queue OWNER steady_queue" + + - name: Run stress test (smoke) + run: | + uv run python tests/stress_test.py --tasks 10 --workload light --timeout 60 diff --git a/AGENTS.md b/AGENTS.md new file mode 100644 index 0000000..0d94435 --- /dev/null +++ b/AGENTS.md @@ -0,0 +1,9 @@ +# Steady Queue Agent documentation + +This is a Python + Django port of the Solid Queue task processing library for Ruby on Rails. We strive to maintain 1-1 structure and feature parity, while conforming to Django's conventions. + +## Useful commands + +- Use `uv run python ...` to ensure the Python environment is loaded properly before running a command. +- Run tests with `make test` +- Lint with `make lint` diff --git a/Makefile b/Makefile index 5da7162..de5b212 100644 --- a/Makefile +++ b/Makefile @@ -10,7 +10,8 @@ steady_queue: .PHONY: lint lint: - uv run pre-commit run --all-files + uv run ruff check --fix + uv run ruff format .PHONY: force-kill force-kill: diff --git a/tests/dummy/tasks.py b/tests/dummy/tasks.py index 1bdb07a..bdd8c56 100644 --- a/tests/dummy/tasks.py +++ b/tests/dummy/tasks.py @@ -63,3 +63,52 @@ def dummy_recurring_task_2(): @task() def limited_task_with_lambda_key(account_id: int, message: str = "hello"): print(f"limited task for account {account_id}: {message}") + + +@task(queue_name="default") +def stress_counter_task(job_id: int, workload: str = "none"): + """Increment execution counter for a job_id. Used by the stress test to detect duplicates. + + workload controls how much simulated work each task performs: + - "none": just the counter write (fast, tests queue machinery only) + - "light": ~10-30ms sleep + ~1k hash rounds + counter write + - "medium": ~30-100ms sleep + ~5k hash rounds + counter write + - "heavy": ~100-300ms sleep + ~20k hash rounds + counter write + """ + import hashlib + import random + import time + + # Workload profiles: (sleep_min_ms, sleep_max_ms, hash_rounds_min, hash_rounds_max) + profiles = { + "none": (0, 0, 0, 0), + "light": (10, 30, 500, 1500), + "medium": (30, 100, 3000, 8000), + "heavy": (100, 300, 15000, 25000), + } + sleep_min, sleep_max, rounds_min, rounds_max = profiles.get( + workload, profiles["none"] + ) + + # IO-bound: simulate an external API call / file write + if sleep_max > 0: + time.sleep(random.randint(sleep_min, sleep_max) / 1000.0) + + # CPU-bound: iterative hashing + if rounds_max > 0: + data = f"stress-task-{job_id}".encode() + for _ in range(random.randint(rounds_min, rounds_max)): + data = hashlib.sha256(data).digest() + + # DB write: always runs (this is our duplicate-execution detector) + from django.db import connections + + conn = connections["default"] + with conn.cursor() as cursor: + cursor.execute( + """ + INSERT INTO stress_test_counter (job_id, exec_count) VALUES (%s, 1) + ON CONFLICT (job_id) DO UPDATE SET exec_count = stress_test_counter.exec_count + 1 + """, + [job_id], + ) diff --git a/tests/settings.py b/tests/settings.py index a6b3161..16bf129 100644 --- a/tests/settings.py +++ b/tests/settings.py @@ -141,6 +141,11 @@ "level": "INFO", "propagate": False, }, + "django.tasks": { + "handlers": ["console"], + "level": "WARNING", + "propagate": False, + }, "steady_queue": { "handlers": ["console"], "level": "WARNING", diff --git a/tests/stress_test.py b/tests/stress_test.py new file mode 100644 index 0000000..5cfe1fe --- /dev/null +++ b/tests/stress_test.py @@ -0,0 +1,483 @@ +#!/usr/bin/env python +""" +Stress test for steady_queue. + +Enqueues a configurable number of tasks across multiple queues and runs them +through the full supervisor (multiple workers, multiple threads). After all +tasks complete (or a timeout expires), it checks invariants: + + 1. Every enqueued job has finished_at set (no lost jobs). + 2. No jobs are stuck in ready/claimed/blocked state. + 3. No failed executions were recorded (unless expected). + 4. Each job was executed exactly once (no duplicates). + +This is the kind of test that surfaces race conditions like: + - Issue #25: IntegrityError from duplicate ClaimedExecution + - Issue #26: AttributeError from process being None on execution + +Usage (run from project root): + # Run with defaults (1000 tasks, 3 workers, 4 threads each) + uv run python tests/stress_test.py + + # Custom parameters + uv run python tests/stress_test.py --tasks 10000 --workers 3 --threads 4 + + # With multiple queues + uv run python tests/stress_test.py --tasks 5000 --queues default urgent background + + # Shorter timeout for CI + uv run python tests/stress_test.py --tasks 500 --timeout 60 +""" + +import argparse +import logging +import os +import subprocess +import sys +import textwrap +import time + +# Ensure the project root is on sys.path so "tests.settings" is importable +# when running this script directly (python tests/stress_test.py). +PROJECT_ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) +sys.path.insert(0, PROJECT_ROOT) + +# Django setup - must happen before any Django imports +os.environ.setdefault("DJANGO_SETTINGS_MODULE", "tests.settings") + +import django # noqa: E402 + +django.setup() + +from django.db import connections # noqa: E402 + +import steady_queue # noqa: E402 +from steady_queue.models.blocked_execution import BlockedExecution # noqa: E402 +from steady_queue.models.claimed_execution import ClaimedExecution # noqa: E402 +from steady_queue.models.failed_execution import FailedExecution # noqa: E402 +from steady_queue.models.job import Job # noqa: E402 +from steady_queue.models.ready_execution import ReadyExecution # noqa: E402 +from tests.dummy.tasks import stress_counter_task # noqa: E402 + +logger = logging.getLogger("stress_test") + +COUNTER_TABLE = "stress_test_counter" + + +# --------------------------------------------------------------------------- +# Counter table helpers (for duplicate-execution detection) +# --------------------------------------------------------------------------- + + +def ensure_counter_table(db_alias="default"): + """Create a simple counter table if it doesn't exist.""" + with connections[db_alias].cursor() as cursor: + cursor.execute( + f""" + CREATE TABLE IF NOT EXISTS {COUNTER_TABLE} ( + job_id BIGINT PRIMARY KEY, + exec_count INTEGER NOT NULL DEFAULT 0 + ) + """ + ) + + +def reset_counter_table(db_alias="default"): + with connections[db_alias].cursor() as cursor: + cursor.execute(f"DELETE FROM {COUNTER_TABLE}") + + +def get_duplicate_executions(db_alias="default"): + """Return job_ids that were executed more than once.""" + with connections[db_alias].cursor() as cursor: + cursor.execute( + f"SELECT job_id, exec_count FROM {COUNTER_TABLE} WHERE exec_count > 1" + ) + return cursor.fetchall() + + +def get_execution_count(db_alias="default"): + """Return total number of recorded executions.""" + with connections[db_alias].cursor() as cursor: + cursor.execute(f"SELECT COUNT(*) FROM {COUNTER_TABLE}") + return cursor.fetchone()[0] + + +# --------------------------------------------------------------------------- +# Enqueue phase +# --------------------------------------------------------------------------- + + +def enqueue_tasks( + num_tasks: int, queues: list[str], workload: str = "none", batch_size: int = 500 +): + """Enqueue tasks distributed across queues round-robin.""" + logger.info( + "Enqueueing %d tasks across queues %s (workload=%s) ...", + num_tasks, + queues, + workload, + ) + + start = time.monotonic() + for i in range(num_tasks): + queue = queues[i % len(queues)] + stress_counter_task.using(queue_name=queue).enqueue(job_id=i, workload=workload) + + if (i + 1) % batch_size == 0: + elapsed = time.monotonic() - start + rate = (i + 1) / elapsed + logger.info(" enqueued %d / %d (%.0f tasks/s)", i + 1, num_tasks, rate) + + elapsed = time.monotonic() - start + logger.info( + "Enqueued %d tasks in %.1fs (%.0f tasks/s)", + num_tasks, + elapsed, + num_tasks / elapsed, + ) + + +# --------------------------------------------------------------------------- +# Supervisor launcher (as a subprocess) +# --------------------------------------------------------------------------- + + +def build_supervisor_script(queues, threads, workers, polling_interval): + """Return a Python script string that starts the supervisor.""" + return textwrap.dedent(f"""\ + import os, sys + sys.path.insert(0, {PROJECT_ROOT!r}) + os.environ["DJANGO_SETTINGS_MODULE"] = "tests.settings" + + import django + django.setup() + + # Register extra queues with the task backend + from django.conf import settings + settings.TASKS["default"]["QUEUES"] = {queues!r} + from tests.dummy.tasks import stress_counter_task + backend = stress_counter_task.get_backend() + backend.queues = set({queues!r}) + + from datetime import timedelta + from steady_queue.configuration import Configuration + from steady_queue.processes.supervisor import Supervisor + + config = Configuration.Options( + workers=[ + Configuration.Worker( + queues={queues!r}, + threads={threads!r}, + processes={workers!r}, + polling_interval=timedelta(seconds={polling_interval!r}), + ) + ], + dispatchers=[ + Configuration.Dispatcher( + polling_interval=timedelta(seconds=1), + batch_size=500, + ) + ], + recurring_tasks=[], + skip_recurring=True, + ) + + Supervisor.launch(config) + """) + + +def start_supervisor(queues, threads, workers, polling_interval): + """Start the supervisor as a subprocess, return the Popen object.""" + script = build_supervisor_script(queues, threads, workers, polling_interval) + proc = subprocess.Popen( + [sys.executable, "-c", script], + cwd=PROJECT_ROOT, + ) + return proc + + +# --------------------------------------------------------------------------- +# Wait for completion +# --------------------------------------------------------------------------- + + +def wait_for_completion(num_tasks: int, timeout: int, poll_interval: float = 2.0): + """Poll the Job table until all jobs are finished or timeout is hit.""" + db = steady_queue.database + + logger.info("Waiting for %d jobs to complete (timeout=%ds) ...", num_tasks, timeout) + start = time.monotonic() + + while True: + elapsed = time.monotonic() - start + + finished = Job.objects.using(db).filter(finished_at__isnull=False).count() + ready = ReadyExecution.objects.using(db).count() + claimed = ClaimedExecution.objects.using(db).count() + failed = FailedExecution.objects.using(db).count() + + logger.info( + " [%.0fs] finished=%d ready=%d claimed=%d failed=%d", + elapsed, + finished, + ready, + claimed, + failed, + ) + + if finished + failed >= num_tasks: + logger.info("All jobs accounted for after %.1fs", elapsed) + return True + + if elapsed > timeout: + logger.error( + "Timeout after %ds. Only %d/%d finished.", timeout, finished, num_tasks + ) + return False + + time.sleep(poll_interval) + + +# --------------------------------------------------------------------------- +# Verification +# --------------------------------------------------------------------------- + + +def verify_results(num_tasks: int) -> list[str]: + """Check invariants and return a list of failure messages (empty = pass).""" + db = steady_queue.database + failures = [] + + # 1. All jobs should have finished_at set + total_jobs = Job.objects.using(db).count() + finished_jobs = Job.objects.using(db).filter(finished_at__isnull=False).count() + if finished_jobs != num_tasks: + # Show breakdown by class_name to diagnose unexpected jobs + from django.db.models import Count + + breakdown = ( + Job.objects.using(db) + .values("class_name") + .annotate(n=Count("id")) + .order_by("-n") + ) + detail = ", ".join(f"{r['class_name']}: {r['n']}" for r in breakdown) + failures.append( + f"FAIL: Expected {num_tasks} finished jobs, got {finished_jobs} " + f"(total jobs in DB: {total_jobs}). Breakdown: {detail}" + ) + + # 2. No executions should be stuck + ready = ReadyExecution.objects.using(db).count() + if ready > 0: + failures.append(f"FAIL: {ready} ready executions still pending") + + claimed = ClaimedExecution.objects.using(db).count() + if claimed > 0: + failures.append(f"FAIL: {claimed} claimed executions still in progress") + + blocked = BlockedExecution.objects.using(db).count() + if blocked > 0: + failures.append(f"FAIL: {blocked} blocked executions remain") + + # 3. No unexpected failures + failed = FailedExecution.objects.using(db).count() + if failed > 0: + sample = FailedExecution.objects.using(db).select_related("job").all()[:5] + reasons = [f" job {f.job_id}: {f.error}" for f in sample] + failures.append(f"FAIL: {failed} failed executions:\n" + "\n".join(reasons)) + + # 4. No duplicate executions (each job ran exactly once) + duplicates = get_duplicate_executions() + if duplicates: + failures.append( + f"FAIL: {len(duplicates)} jobs executed more than once: {duplicates[:10]}" + ) + + exec_count = get_execution_count() + if exec_count != num_tasks: + failures.append( + f"FAIL: Expected {num_tasks} execution records, got {exec_count}" + ) + + return failures + + +# --------------------------------------------------------------------------- +# Cleanup +# --------------------------------------------------------------------------- + + +def cleanup_tables(): + """Remove all steady_queue data and the counter table.""" + db = steady_queue.database + + # Order matters due to FK constraints + ClaimedExecution.objects.using(db).all().delete() + ReadyExecution.objects.using(db).all().delete() + FailedExecution.objects.using(db).all().delete() + BlockedExecution.objects.using(db).all().delete() + Job.objects.using(db).all().delete() + + reset_counter_table() + + +# --------------------------------------------------------------------------- +# Main +# --------------------------------------------------------------------------- + + +def parse_args(): + parser = argparse.ArgumentParser(description="Stress test for steady_queue") + parser.add_argument( + "--tasks", + type=int, + default=1000, + help="Number of tasks to enqueue (default: 1000)", + ) + parser.add_argument( + "--workers", + type=int, + default=3, + help="Number of worker processes (default: 3)", + ) + parser.add_argument( + "--threads", + type=int, + default=4, + help="Threads per worker (default: 4)", + ) + parser.add_argument( + "--queues", + nargs="+", + default=["default", "urgent", "background"], + help="Queue names (default: default urgent background)", + ) + parser.add_argument( + "--timeout", + type=int, + default=300, + help="Max seconds to wait for completion (default: 300)", + ) + parser.add_argument( + "--polling-interval", + type=float, + default=0.1, + help="Worker polling interval in seconds (default: 0.1)", + ) + parser.add_argument( + "--no-cleanup", + action="store_true", + help="Skip cleanup of DB tables before and after the test", + ) + parser.add_argument( + "--workload", + choices=["none", "light", "medium", "heavy"], + default="none", + help="Simulated work per task: none (counter only), light (~10-30ms), " + "medium (~30-100ms), heavy (~100-300ms) (default: none)", + ) + parser.add_argument( + "--verbose", "-v", action="store_true", help="Enable debug logging" + ) + return parser.parse_args() + + +def main(): + args = parse_args() + + # Logging setup + level = logging.DEBUG if args.verbose else logging.INFO + logging.basicConfig( + level=level, + format="%(asctime)s %(name)-20s %(levelname)-8s %(message)s", + datefmt="%H:%M:%S", + ) + logging.getLogger("steady_queue").setLevel(level) + logging.getLogger("django.tasks").setLevel(logging.WARNING) + + logger.info("=" * 60) + logger.info("steady_queue stress test") + logger.info("=" * 60) + logger.info( + "Config: tasks=%d workers=%d threads=%d queues=%s workload=%s timeout=%ds", + args.tasks, + args.workers, + args.threads, + args.queues, + args.workload, + args.timeout, + ) + + # Register all requested queues with the Django task backend + backend = stress_counter_task.get_backend() + backend.queues = backend.queues | set(args.queues) + + # Run migrations (in case test DB is fresh) + from django.core.management import call_command + + call_command("migrate", "--run-syncdb", verbosity=0) + call_command("migrate", "--run-syncdb", "--database", "queue", verbosity=0) + + # Setup + ensure_counter_table() + if not args.no_cleanup: + logger.info("Cleaning up previous data ...") + cleanup_tables() + + # Phase 1: Enqueue all tasks before starting workers + enqueue_tasks(args.tasks, args.queues, args.workload) + + # Phase 2: Start supervisor as a separate process + logger.info("Starting supervisor ...") + supervisor = start_supervisor( + args.queues, args.threads, args.workers, args.polling_interval + ) + logger.info("Supervisor started (pid=%d)", supervisor.pid) + + # Phase 3: Wait for completion + try: + wait_for_completion(args.tasks, args.timeout) + except KeyboardInterrupt: + logger.warning("Interrupted by user") + finally: + # Stop the supervisor + logger.info("Stopping supervisor (pid=%d) ...", supervisor.pid) + supervisor.terminate() + try: + supervisor.wait(timeout=10) + except subprocess.TimeoutExpired: + logger.warning("Supervisor didn't stop, killing ...") + supervisor.kill() + supervisor.wait() + logger.info("Supervisor stopped.") + + # Phase 4: Verify + logger.info("=" * 60) + logger.info("Verifying results ...") + logger.info("=" * 60) + + failures = verify_results(args.tasks) + + if failures: + for f in failures: + logger.error(f) + logger.error("STRESS TEST FAILED (%d issues)", len(failures)) + if not args.no_cleanup: + cleanup_tables() + sys.exit(1) + else: + logger.info("All checks passed.") + logger.info("STRESS TEST PASSED") + + # Cleanup + if not args.no_cleanup: + logger.info("Cleaning up ...") + cleanup_tables() + + sys.exit(0) + + +if __name__ == "__main__": + main() diff --git a/uv.lock b/uv.lock index 3645508..0f0dbfc 100644 --- a/uv.lock +++ b/uv.lock @@ -4,29 +4,29 @@ requires-python = ">=3.12" [[package]] name = "asgiref" -version = "3.11.0" +version = "3.11.1" source = { registry = "https://pypi.org/simple" } -sdist = { url = "https://files.pythonhosted.org/packages/76/b9/4db2509eabd14b4a8c71d1b24c8d5734c52b8560a7b1e1a8b56c8d25568b/asgiref-3.11.0.tar.gz", hash = "sha256:13acff32519542a1736223fb79a715acdebe24286d98e8b164a73085f40da2c4", size = 37969, upload-time = "2025-11-19T15:32:20.106Z" } +sdist = { url = "https://files.pythonhosted.org/packages/63/40/f03da1264ae8f7cfdbf9146542e5e7e8100a4c66ab48e791df9a03d3f6c0/asgiref-3.11.1.tar.gz", hash = "sha256:5f184dc43b7e763efe848065441eac62229c9f7b0475f41f80e207a114eda4ce", size = 38550, upload-time = "2026-02-03T13:30:14.33Z" } wheels = [ - { url = 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