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Python client for the AmigoCloud REST API

Project description

Python client for the AmigoCloud REST API.


Install via pip:

pip install amigocloud


  • requests: Handles the HTTP requests to the AmigoCloud REST API.
  • socketIO_client: Handles the AmigoCloud websocket connection.

This dependencies will be automatically installed.



This library uses API token to authenticate you. To generate or access your API tokens, go to API tokens.

from amigocloud import AmigoCloud
amigocloud = AmigoCloud(token='R:dlNDEiOWciP3y26kG2cHklYpr2HIPK40HD32r1')

You could also use a project token. Remember that project tokens can only be used to query endpoints relative to the project it belongs to. If the project URL doesn’t match its project, AmigoCloudError will be thrown.

from amigocloud import AmigoCloud
amigocloud = AmigoCloud(token='C:Ndl3xGWeasYt9rqyuVsByf5HPMAGyte10y1Mub',

You can use a READ token if you only want to do requests that won’t alter data. Otherwise, you’ll need to use more permissive tokens.


Once you’re logged in you can start making requests to the server. You can use full urls or relative API urls:

# All three will do the same request:

For convenience, when using project tokens, urls are relative to the project’s url (unless it starts with /):

# All three will do the same request:

Creating a new AmigoCloud project from Python is as simple as:

data = {'name': 'New Project', 'description': 'Created from Python'}'me/projects', data)

All responses are parsed as JSON and return a Python object (usually a dict). This data can be later used in another request:

me = amigocloud.get('me')
visible_projects = amigocloud.get(me['visible_projects'])

print 'My projects:'
for project in visible_projects['results']:
    print '*', project['name']

You can get the raw response if you want by using the raw parameter:

me = amigocloud.get('me')
images = amigocloud.get(me['images'])

with open('thumbnail.png', 'wb') as thumbnail:
    image_data = amigocloud.get(images['thumbnail'], raw=True)

Websocket connection

The websocket connection is started when the AmigoCloud object is instantiated, and it is closed when the object is destroyed. You always need to use a user token for websockets.

Make sure to read our help page about our websocket events before continue reading.

To start listening to websocket events related to your user (multicast events), do (you must be logged in to start listening to your events):


Once you’re listening to your events, you can start adding callbacks to them. A callback is a function that will be called everytime the event is received. These functions should have only one parameter, that would be a python dict.

def project_created(data):
    print 'User id=%(user_id)s created project id=%(project_id)s' % data
amigocloud.add_callback('project:creation_succeeded', project_created)

Realtime events are broadcast events related to realtime dataset. To start listening to them, do:

amigocloud.listen_dataset_events(owner_id, project_id, dataset_id)

Then add a callback for them:

def realtime(data):
    print 'Realtime dataset id=%(dataset_id)s' % data
    for obj in data['data']:
        print "Object '%(object_id)s' is now at (%(latitude)s, %(longitude)s)" % obj
amigocloud.add_callback('realtime', realtime)

Finally, start running the websocket client:


This method receives an optional parameter seconds. If seconds is None (default value), the client will listen forever. You might want to run this method in a new thread.


An AmigoCloudError exception will be raised if anything fails during the request:

except AmigoCloudError as err:
    print 'Something failed!'
    print 'Status code was', err.response.status_code
    print 'Message from server was', err.text

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Filename, size & hash SHA256 hash help File type Python version Upload date
amigocloud-1.2.1.linux-x86_64.tar.gz (10.0 kB) Copy SHA256 hash SHA256 Source None Jan 19, 2017
amigocloud-1.2.1-py2-none-any.whl (9.5 kB) Copy SHA256 hash SHA256 Wheel py2 Jan 19, 2017
amigocloud-1.2.1-py3-none-any.whl (9.5 kB) Copy SHA256 hash SHA256 Wheel py3 Jan 19, 2017

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