PyMQ
An educational message queue library built from scratch in Python.
What Is a Message Queue?
Imagine a busy bakery. The baker puts fresh loaves on the counter. Customers line up and take loaves one at a time, first come first served. The baker doesn't need to wait for each customer -- they just keep baking. The counter holds the bread until someone picks it up.
A message queue works the same way for programs:
- Producers (bakers) put messages on the queue
- Consumers (customers) take messages off the queue
- The queue holds messages until someone processes them
- Producers and consumers don't need to be online at the same time
Examples
The Bakery Counter -- Basic Queue
Put messages on the counter and take them off, one at a time:
from pymq.queue import MessageQueue
# Open the bakery counter
q = MessageQueue("orders")
# Baker puts loaves on the counter
q.put("sourdough")
q.put("rye")
q.put("baguette")
# Customers take them in order
msg = q.get()
print(msg.body) # "sourdough" (first in, first out!)
# Tell the bakery you got it
q.acknowledge(msg)
The Newsletter -- Pub/Sub
One publisher, many subscribers. Everyone gets a copy:
from pymq.pubsub import PubSub
ps = PubSub()
# Subscribers sign up for topics they care about
def weather_fan(topic, message):
print(f"Weather update: {message}")
def news_fan(topic, message):
print(f"Breaking: {message}")
ps.subscribe("weather", weather_fan)
ps.subscribe("weather", news_fan)
# Publisher sends one message, both subscribers get it
ps.publish("weather", "Sunny with a chance of Python!")
# Output:
# Weather update: Sunny with a chance of Python!
# Breaking: Sunny with a chance of Python!
The Express Lane -- Priority Queue
Urgent messages jump ahead of the line:
from pymq.queue import PriorityMessageQueue
pq = PriorityMessageQueue("emergencies")
# Lower number = higher priority
pq.put("routine checkup", priority=10)
pq.put("FIRE ALARM!", priority=1)
pq.put("lunch order", priority=5)
# Highest priority comes out first
msg = pq.get()
print(msg.body) # "FIRE ALARM!" (priority 1 beats 5 and 10)
Returned Mail -- Dead Letter Queue
When a message fails too many times, it goes to a special place:
from pymq.queue import MessageQueue
q = MessageQueue("deliveries", max_retries=2)
q.put("fragile package")
# Simulate failures
msg = q.get()
q.reject(msg) # retry 1
msg = q.get()
q.reject(msg) # retry 2
msg = q.get()
q.reject(msg) # too many retries -- moved to dead letter queue
# Check the dead letter queue
failed = q.get_dead_letter()
print(failed.body) # "fragile package"
The Real Post Office -- Networked Broker
The bakery counter lives inside one program. A real post office has a front
door: many programs can walk in over the network, hand over parcels, and
wait for them to be collected. pymq.broker is that post office, built on
PyNet's own event loop.
Start a broker from the terminal (Ctrl-C stops it):
uv run pymq-broker --host 127.0.0.1 --port 5672 --heartbeat 5
Then talk to it with a BrokerClient. This snippet starts its own broker on
a free port so you can paste it straight in and run it:
from pynet.loop import Event, run
from pymq.broker import BrokerClient, BrokerServer, Delivery, QueueConfig, TopicEvent
async def main() -> None:
async with BrokerServer() as server: # picks a free port; use pymq-broker for a real one
async with BrokerClient("127.0.0.1", server.port) as mq:
await mq.declare_queue("jobs", QueueConfig(ack_timeout=60))
await mq.declare_queue("audit")
done = Event()
async def work(d: Delivery) -> None:
print(d.body) # returning normally acks; raising nacks
done.set()
async def on_event(e: TopicEvent) -> None:
print("alert:", e.topic)
await mq.consume("jobs", work, prefetch=4)
await mq.subscribe("job.*.failed", on_event)
await mq.bind("job.#", "audit")
await mq.put("jobs", {"job": "nightly-report"}, delay=0.1)
await mq.publish("job.nightly.failed", "disk full")
await done.wait()
print("audit queue holds:", (await mq.stats("audit")).ready)
run(main())
Runnable demos live in examples/ (broker_demo.py, work_queue.py,
topic_alerts.py). The learning path starts at
the docs index.
Developing alongside a sibling
PyMQ depends on its sibling PyNet as a PyPI package (fromscratch-pynet in
pyproject.toml), and uv.lock records the exact release. A change merged
into PyNet can't affect PyMQ until PyNet publishes a new release and PyMQ
chooses to upgrade.
To try an unreleased change from a PyNet checkout next to this one, install it over the pinned release:
uv pip install -e ../pynet
uv run --no-sync pytest
Use uv run --no-sync while you do this: a plain uv run (like uv sync)
puts the pinned release back, which is how you undo the override.
Features
- FIFO Queue -- First-in, first-out message storage
- Priority Queue -- Urgent messages first, powered by heapq
- Pub/Sub -- Publish to topics, subscribers get copies
- Acknowledgment -- Confirm processing or reject for retry
- Dead Letter Queue -- Failed messages collected for inspection
- Saving Queues --
save_queues/load_queueskeep waiting messages across restarts - Message Factory -- Auto-generated UUIDs and ISO timestamps
- 100% Typed -- Full type annotations with strict Pyright checking
Quick Start
# Install with uv
uv add pymq
# Or install from source
git clone https://github.com/robcox2910/pymq.git
cd pymq
uv sync --all-extras
# Run the tests
uv run pytest
Documentation
Full docs (with kid-friendly explanations of every idea): https://robcox2910.github.io/pymq/
Releasing
Other projects in the series (PyStack) use a pinned release of this one,
not whatever is on main. To publish a change for them:
- Merge the change to
main. - Tag it:
git tag -a vX.Y.Z -m vX.Y.Z && git push origin vX.Y.Z. A change to the public API bumps the minor version (v0.1.0→v0.2.0); anything else bumps the patch (v0.1.0→v0.1.1). - In each project that uses it, edit the tag in
[tool.uv.sources], runuv lock --upgrade-package <name>, and open a pull request so CI checks the pair together.
Related Projects
This project is one of a series that builds real systems "from scratch in Python" to teach how they work. See the series home for the full story.
| Project | What it teaches | Repository | Docs |
|---|---|---|---|
| PyOS | Operating systems | py-os | Docs |
| Pebble | Compilers and programming languages | pebble-lang | Docs |
| PyDB | Relational databases | pydb | Docs |
| PyKV | Key-value stores | pykv | Docs |
| PyDocDB | Document databases | pydoc-db | Docs |
| PyGraphDB | Graph databases | pygraphdb | Docs |
| PyTSDB | Time-series databases | pytsdb | Docs |
| PyVecDB | Vector databases | pyvecdb | Docs |
| PyColDB | Column-family databases | pycoldb | Docs |
| PyCrypt | Cryptography | pycrypt | Docs |
| PyNet | Computer networking | pynet | Docs |
| PyWeb | HTTP web servers | pyweb | Docs |
| PyGit | Version control | pygit | Docs |
| PySearch | Search engines | pysearch | Docs |
| PyMQ | Message queues | pymq | Docs |
| PyLLM | Language models (the brain) | pyllm | Docs |
| PyScheduler | Job scheduling | pyscheduler | Docs |
| PyStack | Full-stack integration | pystack | Docs |
License
MIT -- see LICENSE for details.
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