Skip to main content

@themost-framework alternative for python

Project description

pycentroid

pycentroid logo

@themost-framework for Python

@themost-framework is a fully-featured end-to-end framework for building scalable data-driven web applications and services under node.js. It consists of a wide set of server-side libraries and client-side tools for helping developers creating scalable and configurable production environments. pycentroid is a @themost-framework alternative for python.

pycentroid.client

A client-side library of @themost-framework application for python

from typing import List
from pycentroid.client import ClientDataContext, ClientContextOptions
from pycentroid.query import select

async def get_products():
    context = ClientDataContext(ClientContextOptions('http://localhost:3000/api/'))
    # get products
    items: List = await context.model('Products').as_queryable().select(
            lambda x: select(id=x.id, name=x.name, product_model=x.model,)
        ).where(
            lambda x: x.category == 'Laptops'
        ).get_items()
    return items

Read more at pycentroid.client

pycentroid.query

A database-agnostic query module which for writing SQL expressions of any kind

from pycentroid.query import QueryExpression, QueryEntity, SqlFormatter, select


products = QueryEntity('ProductData')
query = QueryExpression(products).select(
        lambda x: select(id=x.id, name=x.name, price=round(x.price, 2))
    ).where(
        lambda x: round(x.price, 2) < 800 and x.category == 'Laptops'
    )
sql = SqlFormatter().format(query)
# sql > SELECT id,name,ROUND(price,2) AS price FROM ProductData WHERE ((ROUND(price,2)<800) AND (category='Laptops'))

pycentroid.data

A next-generation ORM data module for developing data-driven application and services.

from pycentroid.data.application import DataApplication
from os.path import abspath, join, dirname
APP_PATH = abspath(join(dirname(__file__), '..'))


async def main():
    app = DataApplication(cwd=APP_PATH)
    context = app.create_context()
    results = await context.model('Order').where(
        lambda x: x.orderedItem.category == 'Desktops'
        ).get_items()
    print(results)

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

pycentroid-1.1.4.tar.gz (59.6 kB view details)

Uploaded Source

Built Distribution

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

pycentroid-1.1.4-py3-none-any.whl (74.9 kB view details)

Uploaded Python 3

File details

Details for the file pycentroid-1.1.4.tar.gz.

File metadata

  • Download URL: pycentroid-1.1.4.tar.gz
  • Upload date:
  • Size: 59.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for pycentroid-1.1.4.tar.gz
Algorithm Hash digest
SHA256 9432c7cd00e50f0daa8e856f592bb97a606f25de9ac6349bc5c593cc3acf86e8
MD5 553c930e8dc4bd2181741f7608b3e007
BLAKE2b-256 b93fdecb4223b4d4ad9d99b1f33c4118e28f4be2931fa3fc95e0096045c340a3

See more details on using hashes here.

File details

Details for the file pycentroid-1.1.4-py3-none-any.whl.

File metadata

  • Download URL: pycentroid-1.1.4-py3-none-any.whl
  • Upload date:
  • Size: 74.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for pycentroid-1.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 adcf34091ec346fa7b266d2ba89a9b728acd3e29558f8ef3a41a1260b1cb4daa
MD5 8f9e480ebb5df58e21962eb32c7a30b3
BLAKE2b-256 52217938376b6b032e397b3f3c32a10adfe8fe2aa40677363378c5f972628aca

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