Dbos Python | Skills Pool

技能檔案

Dbos Python

Guide for building reliable, fault-tolerant Python applications with DBOS durable workflows. Use when adding DBOS to existing Python code, creating workflows and steps, or using queues for concurrency control.

sickn3333,802 星標2026年4月13日

職業
分類: 數據工程

技能內容

DBOS Python Best Practices

Guide for building reliable, fault-tolerant Python applications with DBOS durable workflows.

When to Use

Reference these guidelines when:

Adding DBOS to existing Python code
Creating workflows and steps
Using queues for concurrency control
Implementing workflow communication (events, messages, streams)
Configuring and launching DBOS applications
Using DBOSClient from external applications
Testing DBOS applications

Rule Categories by Priority

Priority	Category	Impact	Prefix
1	Lifecycle	CRITICAL	`lifecycle-`
2	Workflow	CRITICAL	`workflow-`

相關技能

import os
from dbos import DBOS, DBOSConfig

@DBOS.workflow()
def my_workflow():
    pass

if __name__ == "__main__":
    config: DBOSConfig = {
        "name": "my-app",
        "system_database_url": os.environ.get("DBOS_SYSTEM_DATABASE_URL"),
    }
    DBOS(config=config)
    DBOS.launch()

@DBOS.step()
def call_external_api():
    return requests.get("https://api.example.com").json()

@DBOS.workflow()
def my_workflow():
    result = call_external_api()
    return result

references/lifecycle-config.md
references/workflow-determinism.md
references/queue-concurrency.md