Skip to main content

Simple, explicit durable execution framework on top of ZeroMQ and SQLModel.

Project description

Pipeteer

Simple, explicit durable execution framework.

Read the docs

Welcome to Pipeteer

Pipeteer simplifies the complexity of durable execution whilst not hiding the underlying persistence.

Why Pipeteer?

Use pipeteer if you need...

  • Persistance: your app can stop or crash and resume at any time without losing progress
  • Observability: you can see the state of your app at any time, and modify it programmatically at runtime
  • Exactly-once semantics: your app can be stopped and resumed without dropping or duplicating work
  • Fault tolerance: if a task fails, it'll keep working on other tasks and retry it later
  • Explicitness: pipeteer's high level API is a very thin abstraction over SQLModel (for persistance) and ZeroMQ (for inter-process communication)

Proof of Concept

Definition. You can define a durable workflow this easy:

from pipeteer import activity, workflow, WorkflowContext

@activity()
async def double(x: int) -> int:
  return 2*x

@workflow()
async def quad(x: int, ctx: WorkflowContext) -> int:
  x2 = await ctx.call(double, x)
  x4 = await ctx.call(double, x2)
  return x4

Worker. And here's how to run it:

import asyncio
from pipeteer import DB, Context

db = DB.at('pipeline.db')
ctx = Context.of(db)

async def main():
  await asyncio.gather(
    double.run(ctx),
    quad.run(ctx),
    ctx.zmq.proxy(),
  )

Input. How to give it tasks?

from pipeteer import DB, Context

db = DB.at('pipeline.db')
ctx = Context.of(db)

Input = quad.input(ctx)
with db.session as s:
  s.add(Input(key='task', value=1, output='my-output'))
  s.commit()

await quad.notify(ctx)

Output. How to get the results?

from sqlmodel import select
from pipeteer import DB, Context

db = DB.at('pipeline.db')
ctx = Context.of(db)

Output = quad.output(ctx, 'my-output')
while True:
  with db.session as s:
    for entry in s.exec(select(Output)):
      print(f'Output: {entry.key} -> {entry.value}')
      s.delete(entry)
    s.commit()
  await ctx.wait('my-output')

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pipeteer-1.0.1.tar.gz (11.6 kB view details)

Uploaded Source

Built Distribution

pipeteer-1.0.1-py3-none-any.whl (15.7 kB view details)

Uploaded Python 3

File details

Details for the file pipeteer-1.0.1.tar.gz.

File metadata

  • Download URL: pipeteer-1.0.1.tar.gz
  • Upload date:
  • Size: 11.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.10

File hashes

Hashes for pipeteer-1.0.1.tar.gz
Algorithm Hash digest
SHA256 a6df74c9ee54aea3136285ec4e4615dcc75c7b06b06e1284a13d8309e03cfddb
MD5 e2635bee44d448e9a8116c86631dcceb
BLAKE2b-256 08d862e502c48e170306d50ab2dfefc49cf5507aac30838cc21251c1f92d7734

See more details on using hashes here.

File details

Details for the file pipeteer-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: pipeteer-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 15.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.10

File hashes

Hashes for pipeteer-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 0dff5eb2b2f6ca7874d739eb4029cf4862e1b112b8e574a5a37821a77b4f08b9
MD5 07c221b48ae00c4c39ae67b7384579fa
BLAKE2b-256 15fbdd78007a1765b8ed637dac81113b5b5bd838411185bcdfd410f332accbcc

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page