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-1.4.5.tar.gz (11.3 kB view details)

Uploaded Source

Built Distribution

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

aiodata-1.4.5-py3-none-any.whl (14.0 kB view details)

Uploaded Python 3

File details

Details for the file aiodata-1.4.5.tar.gz.

File metadata

  • Download URL: aiodata-1.4.5.tar.gz
  • Upload date:
  • Size: 11.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.20.0 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/3.7.3

File hashes

Hashes for aiodata-1.4.5.tar.gz
Algorithm Hash digest
SHA256 e959ee2a045e60167c3d778a7c1e377872cd3104e3c7ea65b4746aa9aa82d67f
MD5 c9fa25563dbe9729fae5521a842eaa05
BLAKE2b-256 ad025d0f8b543b640657c8351c0a4d2e8d3baf8cbc5adc701d53ba9d856e4de3

See more details on using hashes here.

File details

Details for the file aiodata-1.4.5-py3-none-any.whl.

File metadata

  • Download URL: aiodata-1.4.5-py3-none-any.whl
  • Upload date:
  • Size: 14.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.20.0 setuptools/40.8.0 requests-toolbelt/0.8.0 tqdm/4.29.1 CPython/3.7.3

File hashes

Hashes for aiodata-1.4.5-py3-none-any.whl
Algorithm Hash digest
SHA256 81ad1be5cd46bbc2947b2c490c8b4765203b604538604d9db8ee47b72a3b3e87
MD5 40a2a5240ea91385ff65abe4c30a0562
BLAKE2b-256 edc03d337dd28ad74870a1f06463063269e626795de5e3e52e06dac5aaac5453

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