Skip to main content

A powerfull and flexible framework for designing async socket based data streaming and distribution systems, with automated parsing, dynamic data store and high-level control hooks.

Project description

data-place

A powerful and flexible framework for designing async socket based data streaming and distribution systems, with automated parsing, dynamic data store and high-level control hooks.

Installation

pip install data-place

example

  • integrates with dataclasses and pydantic as a side effect

A definition of a data model. Can be either shared globally or reimplemented separately. Also defines an async loop function that will be used to produce Data objects.

from dataclasses import dataclass
import asyncio
import random
from uuid import uuid4
from dataplace import ModelIO, Controller


@dataclass(slots=True, frozen=True)
class Data(ModelIO):
    id: str
    value: int


async def produce(controller: Controller) -> None:
    while controller.running:
        await controller.async_hold()
        await controller.async_callback(
            Data(id=str(uuid4()), value=random.randint(0, 9))
        )

        await asyncio.sleep(1)

async socket based data sending server

import asyncio
from dataplace import Sender, Controller, Callback, SpaceStore

store = SpaceStore[int, Data](lambda data: data.value, Data)

server = Sender.Socket.Server(host="127.0.0.1", port=5555)

controller = Controller(
    callbacks=[
        Callback(store.add, types={Data}),
        Callback(server.call, types={Data}),
        Callback(print, types={Data})
    ]
)

loop = asyncio.new_event_loop()
loop.create_task(produce(controller))
loop.create_task(server.start())
loop.run_forever()

async socket based data receiving client

import asyncio
from dataplace import Receiver, Callback, SpaceStore

store = SpaceStore[int, Data](lambda data: data.value, Data)

client = Receiver.Socket.Client(
    host="127.0.0.1",
    port=5555,
    callbacks=[
        Callback(store.add, types={Data}),
        Callback(print, types={Data})
    ]
)

loop = asyncio.new_event_loop()
loop.create_task(client.start())
loop.run_forever()

async websocket based data sending server

import asyncio
from dataplace import Sender, Controller, Callback, SpaceStore

store = SpaceStore[int, Data](lambda data: data.value, Data)

server = Sender.WebSocket.Server(host="127.0.0.1", port=5555)

controller = Controller(
    callbacks=[
        Callback(store.add, types={Data}),
        Callback(server.call, types={Data}),
        Callback(print, types={Data})
    ]
)

loop = asyncio.new_event_loop()
loop.create_task(produce(controller))
loop.create_task(server.start())
loop.run_forever()

async websocket based data receiving client

import asyncio
from dataplace import Receiver, Callback, SpaceStore

store = SpaceStore[int, Data](lambda data: data.value, Data)

client = Receiver.WebSocket.Client(
    url="ws://127.0.0.1:5555",
    callbacks=[
        Callback(store.add, types={Data}),
        Callback(print, types={Data})
    ]
)

loop = asyncio.new_event_loop()
loop.create_task(client.start())
loop.run_forever()

async socket based data receiving server

import asyncio
from dataplace import Receiver, Callback, SpaceStore

store = SpaceStore[int, Data](lambda data: data.value, Data)

server = Receiver.Socket.Server(
    host="127.0.0.1",
    port=5555,
    callbacks=[
        Callback(store.add, types={Data}),
        Callback(print, types={Data})
    ]
)

loop = asyncio.new_event_loop()
loop.create_task(server.start())
loop.run_forever()

async socket based data sending client

    store = SpaceStore[int, Data](lambda data: data.value, Data)

client = Sender.Socket.Client(host="127.0.0.1", port=5555)

controller = Controller(
    callbacks=[
        Callback(store.add, types={Data}),
        Callback(client.call, types={Data}),
        Callback(print, types={Data})
    ]
)

loop = asyncio.new_event_loop()
loop.run_until_complete(client.start())
loop.create_task(produce(controller))
loop.run_forever()

async websocket based data receiving server

import asyncio
from dataplace import Receiver, Callback, SpaceStore

store = SpaceStore[int, Data](lambda data: data.value, Data)

server = Receiver.WebSocket.Server(
    host="127.0.0.1",
    port=5555,
    callbacks=[
        Callback(store.add, types={Data}),
        Callback(print, types={Data})
    ]
)

loop = asyncio.new_event_loop()
loop.create_task(server.start())
loop.run_forever()

async websocket based data sending client

import asyncio
from dataplace import Sender, Callback, SpaceStore

store = SpaceStore[int, Data](lambda data: data.value, Data)

client = Sender.WebSocket.Client(url="ws://127.0.0.1:5555")

controller = Controller(
    callbacks=[
        Callback(store.add, types={Data}),
        Callback(client.call, types={Data}),
        Callback(print, types={Data})
    ]
)

loop = asyncio.new_event_loop()
loop.run_until_complete(client.start())
loop.create_task(produce(controller))
loop.run_forever()

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

data-place-0.1.4.tar.gz (12.4 kB view details)

Uploaded Source

File details

Details for the file data-place-0.1.4.tar.gz.

File metadata

  • Download URL: data-place-0.1.4.tar.gz
  • Upload date:
  • Size: 12.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for data-place-0.1.4.tar.gz
Algorithm Hash digest
SHA256 4fce2cfc445517aee8f49cc10f09d6f98dd76addc0188a6530cfbf0f4309fa21
MD5 53aa006c87de891c355e0ae649b022a1
BLAKE2b-256 5f98efa8442c8d2e559a4f1b504702d8c83934b2e1cce4af120b17898e1bb42b

See more details on using hashes here.

Supported by

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