orkera 0.1.0

Simple HTTP client for Orkera distributed task runner

Taskflow SDK

Simple Python SDK for the Taskflow distributed task runner platform.

🚀 Quick Start

Using the SDK

from orkera import TaskflowClient
from datetime import datetime, timedelta

# Initialize client
client = TaskflowClient(
    server_url="http://localhost:8000",
    api_key="vgBSGW6A1zYDNHVIPB1Ctry2rR8DOCvg"
)

# Schedule a task
task_id = client.schedule_task(
    task_name="calculate_sum",
    task_kwargs={"a": 10, "b": 20},
    timeout=300
)

print(f"Task scheduled: {task_id}")

# List all tasks
tasks = client.list_tasks()
print(f"Total tasks: {len(tasks)}")

# Get specific task
task = client.get_task(task_id)
print(f"Task status: {task['status']}")

Using Raw HTTP Requests

import requests

response = requests.post(
    "http://localhost:8000/api/tasks/",
    json={
        "task_name": "calculate_sum",
        "task_kwargs": {"a": 10, "b": 20},
        "timeout": 300
    },
    headers={
        "Authorization": "Bearer vgBSGW6A1zYDNHVIPB1Ctry2rR8DOCvg",
        "Content-Type": "application/json"
    }
)

task_id = response.json()["task_id"]
print(f"Task scheduled: {task_id}")

📦 Installation

Install from source

pip install -e .

Install dependencies only

pip install -r requirements.txt

🔧 Usage

SDK Client

The TaskflowClient provides a clean interface for interacting with the Taskflow server:

from orkera import TaskflowClient

client = TaskflowClient("http://localhost:8000", "your-api-key")

# Schedule immediate task
task_id = client.schedule_task("my_task", task_kwargs={"param": "value"})

# Schedule delayed task
from datetime import datetime, timedelta
future_time = datetime.now() + timedelta(minutes=5)
task_id = client.schedule_task("my_task", schedule_time=future_time)

# Schedule with callback
task_id = client.schedule_task(
    "my_task", 
    callback_url="http://myserver.com/webhook"
)

FastAPI Example

Run the included FastAPI example:

python examples/rest_example.py

This starts a server on port 8080 with endpoints:

• GET / - API documentation
• POST /schedule - Schedule a test task
• GET /status - Check server status

📝 Examples

The examples/ directory contains:

• rest_example.py - Complete FastAPI server showing task scheduling

🔐 Requirements

• Python 3.7+
• requests>=2.25.0
• fastapi>=0.68.0 (for examples)
• uvicorn>=0.15.0 (for examples)

🚨 Server Setup

Make sure your Django Taskflow server is running on http://localhost:8000 with a valid API key.

API Reference

TaskflowClient

__init__(server_url, api_key, timeout=30)

Initialize the client with server URL and API key.

schedule_task(task_name, task_args=None, task_kwargs=None, schedule_time=None, timeout=300, retry_count=0, callback_url=None)

Schedule a task for execution.

list_tasks()

List all tasks for the authenticated user.

get_task(task_id)

Get details of a specific task.