Skip to main content

Server Usage

import asyncio
import peewee_async
import peewee_asyncext
import peewee
import aiodata.server as aiodata
import aiohttp.web
import functools

# get event loop
loop = asyncio.get_event_loop()

# create an asyncio-compatible peewee database
database = peewee_asyncext.PostgresqlExtDatabase('test')

# used for async query executions
objects = peewee_async.Manager(database)

# build a model
class Users(peewee.Model):

  name = peewee.TextField(null = True)

  tag = peewee.IntegerField(null = True)

  hobby = peewee.TextField(null = True)

  class Meta:

    database = database

    primary_key = peewee.CompositeKey('name', 'tag')

# ensure it exists
Users.create_table()
# ...do other stuff

# will create a function checking the 'Authorization'
# header of each request for this token and validating;
# raises an aiohttp.web.HTTPUnauthorized error upon failure
authorize = aiodata.utils.authorizer('super secret')

# heartbeat
interval = 30

# create the client;
# for no auth, simply pass `lambda request: None`
client = aiodata.Client(authorize, interval)

# utils.fail is a convenience function for error raising with json data;
# this is the error handlers will raise for bad requests, passing an
# arbitrary amount of positional arguments, starting with a code (str)
# representing the error, ex: error('database error', output)
fail = functools.partial(aiodata.utils.fail, aiohttp.web.HTTPBadRequest)

# make the application
app = aiohttp.web.Application()

# will create handlers and then dispatchers for the client;
# also saves information related to the smooth execution of
# websocket connections utilized by the peers - important!
# yields route assets in the form of (method, path, handler)
routes = aiodata.utils.setup(client, objects, Users, authorize, fail)

# iterate through
for route in routes:

  # and add them to our router
  app.router.add_route(*route)

# also add some route for the websocket connection
app.router.add_route('GET', '/state', client.connect)

# disable sync
database.set_allow_sync(False)

# run the app localy
aiohttp.web.run_app(app)

Requests should be in the form of METHOD */model with json [keys, data].

import requests

url = 'http://localhost:8080/users'

keys = ['cat', 40]

data = {'hobby': 'meowing'}

body = [keys, data]

headers = {'Authorization': 'super secret'}

response = requests.post(url, json = body, headers = headers)

# will be an array of dicts as rows with all their columns;
# every successful request returns all the rows affected
entries = response.json()

print(entries)

Client Usage

import asyncio
import aiohttp
import aiodata.client as aiodata

# get event loop
loop = asyncio.get_event_loop()

# create the session
session = aiohttp.ClientSession(loop = loop)

# beep boop
host = 'http://localhost:8080'

# create a function injecting the headers
# with an 'Authorization' key against this token
authorize = aiodata.utils.authorizer('super secret')

# create the client;
# for no auth, simply pass `lambda kwargs: None`
client = aiodata.Client(session, host, authorize)

# listen for rows being updated
@client.track('update', 'users')
async def listener(entries):

  for before, after in entries:

    for key, value in before.items():

      check = after[key]

      if value == check:

        continue

      print('changed', key, 'from', value, 'to', check)

# demonstration
async def execute():

  # will connect to websocket,
  # receive info, build, fill cache,
  # listen for database interactions
  await client.start('/state')

  # cache can be poked like so;
  # entries are simple objects,
  # tables are overwritten dicts
  entry = client.cache.users.get('cat', 40)

  # see before
  print(entry.hobby)

  # change the tag (primary) and hobby
  # make a request, patching all rows with 'cat' as name;
  # the positional nature of the keys implies entries
  # can't be bulk edited by leading primary keys alone
  entries = await client.update('cat', tag = 80, hobby = 'barking')

  print(entries)

  await client.close()

  await session.close()

coroutine = execute()

loop.run_until_complete(coroutine)

Installing

python3 -m pip install aiodata

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aiodata-1.0.0.tar.gz (10.6 kB view details)

Uploaded Source

Built Distribution

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

aiodata-1.0.0-py3-none-any.whl (13.3 kB view details)

Uploaded Python 3

File details

Details for the file aiodata-1.0.0.tar.gz.

File metadata

  • Download URL: aiodata-1.0.0.tar.gz
  • Upload date:
  • Size: 10.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.1

File hashes

Hashes for aiodata-1.0.0.tar.gz
Algorithm Hash digest
SHA256 a20f86a33d8079ddb3fd4d77005c8659fd5169467b737156587777e226bd8dcb
MD5 346c9bc6f2aa200498a4606a448c1101
BLAKE2b-256 b06e8b18d295eadad1babd0dd4e32b432f3c8be99e99c99a400db8cd498d6221

See more details on using hashes here.

File details

Details for the file aiodata-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: aiodata-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 13.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.6.2 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.1

File hashes

Hashes for aiodata-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1253537dc7470fcf9be3196931379e01cbc20ed1afc8494796dd0f8592c7565a
MD5 98815bc93fc44ce6ad67677cd531eb12
BLAKE2b-256 ec9f4bc14a287bec0a039e94bcabcc66f062b42b4c83865aec6ba27c396966b1

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