astraflux 1.0.6

AstraFlux Description

AstraFlux User Documentation

AstraFlux enables rapid setup of distributed task systems with minimal configuration. Key features:
1.Asynchronous/scheduled tasks
2.Distributed task processing
3.Service registration, monitoring, dynamic configuration injection, load balancing

Framework Initialization

1. Create File config.yaml

Mongodb:
  host: 127.0.0.1
  port: 27017
  db: astraflux
  username: scheduleAdmin
  password: scheduleAdminPassword

Redis:
  host: 127.0.0.1
  port: 6379
  password: scheduleAdminPassword

RabbitMQ:
  host: 127.0.0.1
  port: 5672
  username: scheduleAdmin
  password: scheduleAdminPassword

logger:
  level: INFO

2. Initialize in main.py

import os
os_dir = os.path.dirname(__file__)
af = AstraFlux('config.yaml', os_dir)

Service Registration

1. Create service file (e.g., test_server.py):

# -*- coding: utf-8 -*-

from nexusflow import *


class RpcFunction(ServiceConstructor):
    service_name = 'test_server'

    """All functions are automatically proxied for RPC calls"""

    def get_service_name(self):
        return {"service_version": self.service_version}

    def test_func(self, **args):
        return args

class WorkerFunction(WorkerConstructor):
    worker_name = 'test_server'

    def run(self, data):
        self.loguru.info(data)
        """
        Executed when new tasks appear in worker_name queue.
        Implement business logic here. `data` contains all task data.
        """

2. Register the service in main.py

import test_server
af.registry(services=[test_server])

af.start()

Scheduled/Asynchronous Tasks

from nexusflow.interface import *

# Generate Snowflake ID
_id = snowflake_id()

# Create task
message = {'task_id': 'test_003', 'status': 'wait', 'name': 'xxxx'}
task_submit_databases(queue='test_server', message=message)

# Create subtasks (automatic status updates)
subtask_create(
    source_task_id='test_003',
    subtask_queue='test_server_sub',
    subtasks=[{
        'task_id': snowflake_id(),
        'name': 'subtask1',
    }]
)

# Stop task
task_stop(task_id='test_003')

# MongoDB interfaces
mongodb_task()     # Task operations
mongodb_node()     # Node operations
mongodb_services() # Service operations

# Redis interfaces
redis_task()
redis_services()

# RPC service call (auto load-balanced)
result = proxy_call(
    service_name='test_server',
    method_name='test_func',
    a=1, b=2  # Function arguments
)

Function Reference

from nexusflow.interface import *

# Generate Snowflake ID
_id = snowflake_id()

# Create task
message = {'task_id': 'test_003', 'status': 'wait', 'name': 'xxxx'}
task_submit_databases(queue='test_server', message=message)

# Create subtasks (automatic status updates)
subtask_create(
    source_task_id='test_003',
    subtask_queue='test_server_sub',
    subtasks=[{
        'task_id': snowflake_id(),
        'name': 'subtask1',
    }]
)

# Stop task
task_stop(task_id='test_003')

# MongoDB interfaces
mongodb_task()     # Task operations
mongodb_node()     # Node operations
mongodb_services() # Service operations

# Redis interfaces
redis_task()
redis_services()

# RPC service call (auto load-balanced)
result = proxy_call(
    service_name='test_server',
    method_name='test_func',
    a=1, b=2  # Function arguments
)