Skip to main content

A connector development framework adapted to Django

Project description

Overview

Django Aeotrade Connector is a framework that allows you to easily create your connector with Aeotrade OS.

Latest version: 0.1.0rc2

Quickstart

Install

pip install django-aeotrade-connector

After installing the package, you should add aeotrade_connector to django's INSTALLED_APPS

Usage

Initialize connector in django project

python manage.py initconnector

This will create urls.py and dispatcher.py to your project

Create connector app

python manage.py startconnector <my_connector>

After executing this command, you should add my_connector to INSTALLED_APPS also. Then you will see a new django app named my_connector in your django project. In this app, you can see services.py and task.py python files. In services.py, you must implement some connector methods, which are inherited from ConnectorServices. and in task.py, you can define your connector tasks. those tasks will be registered when django setup.

Configuration

In app.py:

Before you start to run your connector, you must configure your connector in the app.py file. The configuration file is located in the my_connector/app.py file.

class MyConnectorConfig(AppConfig):
    name = 'my_connector'

    class Config:
        # required config
        connector = True
        connector_config_model = ConnectorBaseConfig(
            # required config
            label="my_first_connector",
            code="my_first_connector_code",
            mq_recv_model=MQManagerConfig(
                url="amqp://root:123456@localhost:5672/",
                exchange="test",
                queue="q_receive",
                pot=POT.Thread
            ),
            # optional config
            event_up_chain = True,
            files_up_chain = False,
            callback = some_function_name,
            callback_args = ['arg1', 'arg2'],
            callback_kwargs = {'key1': 'value1', 'key2': 'value2'},
            task_stop_when_error = False,
            auto_heartbeat = True,
            kw = {"extra_key": "extra_value"},
        )

In django.settings.py:

INSTALLED_APPS = [
    ...,
    'aeotrade_connector'
    'my_connector',
]

AC_MANAGEMENT_ENDPOINT = 'http://www.example.com:8000'

IS_TEST = False  # or True

# Redis is used to implement a distributed lock, ensuring that the scheduled task
# is executed only once even when multiple workers are started.
CACHES = {
    'default': {
        "BACKEND": "django_redis.cache.RedisCache",
        "LOCATION": 'redis://localhost:6379/0',
        "OPTIONS": {
            "CLIENT_CLASS": "django_redis.client.DefaultClient",
            "CONNECTION_POOL_KWARGS": {"max_connections": 100}
        }
    }
}

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

django_aeotrade_connector-0.1.0rc3.tar.gz (67.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

django_aeotrade_connector-0.1.0rc3-py3-none-any.whl (55.7 kB view details)

Uploaded Python 3

File details

Details for the file django_aeotrade_connector-0.1.0rc3.tar.gz.

File metadata

  • Download URL: django_aeotrade_connector-0.1.0rc3.tar.gz
  • Upload date:
  • Size: 67.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.9.18 Linux/5.14.0-427.42.1.el9_4.x86_64

File hashes

Hashes for django_aeotrade_connector-0.1.0rc3.tar.gz
Algorithm Hash digest
SHA256 6d652c7d6ffd9096890ecf4d9cd2b31729357d0a460e7b985ebd8bf331849250
MD5 2ecd9ce21ad5b5eee4c44ee0d1826f56
BLAKE2b-256 ae89f969868ad584abd7d7433013793ac574873d183f1ebe46e77c7c6a125600

See more details on using hashes here.

File details

Details for the file django_aeotrade_connector-0.1.0rc3-py3-none-any.whl.

File metadata

File hashes

Hashes for django_aeotrade_connector-0.1.0rc3-py3-none-any.whl
Algorithm Hash digest
SHA256 912b4ac1da77210e95b1f2ea0af1d55f99e96ee3412c4396a7fc30f07a549d3d
MD5 c158477b7979799d33c574b83c9c8e0c
BLAKE2b-256 26bb5a7300fa04c84c4a807c441db4559eb9b23b527d2d6780db55d56c683cb1

See more details on using hashes here.

Supported by

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