Skip to main content

Meili FMS SDK

Project description

Meili FMS SDK library

Official Meili FMS SDK library.

Status:

pipeline status

coverage report

Installation

pip install meili-sdk

# or with MQTT support

pip install "meili-sdk[MQTT]"

# or from local repo - for development

python3 -m pip install -e .

Intro

This library aims to make it easier for 3rd party developers to integrate with Meili FMS via API or Websockets.

Prerequisites

To start using the SDK you will need either one of the API Tokens or Fleet Token to connect via REST or WS.

Getting started

Using different sites

By default, all the traffic goes to app.meilirobots.com, but you can override it in one of these ways:

  • Pass override_host kwarg to get_client or client classes
  • Set MEILI_HOST env variable
  • Set site in ~/.meili/cfg.yaml

RESTful

We provide a magic method to evaluate the token and return the correct type of API client for you. See the snipped below on how to use it:

from meili_sdk.clients import get_client

client = get_client("my-token")

If token will not be able to evaluate it will return a default APITokenClient.

Accessing resources

Each API client provides 4 methods that will return resource access:

.get_user_resources()
.get_team_resources()
.get_organization_resources()
.get_vehicle_resources()

Note that not all resources are accessible through all clients and might raise NotImplemented exception.

Using models

Since we are a Django workshop, we like to do things in such way and therefore our models are also written similarly.

All models can have .validate_{field_name}(value) functions that will be automatically called when running .validate().

If any of the values are not passed to constructors that are defined on the class without defaults, a MissingAttributesException exception will be risen.

Websockets

If your application requires asynchronous connection, you can use MeiliWebsocketClient to do so.

We have written our client in such way that you will receive already constructed objects from it and will not have to worry about parsing and validating data.

Here is an example use of our websocket client:

from meili_sdk.websockets.client import MeiliWebsocketClient


def open_handler():
    print("WS opened")


def close_handler():
    print("WS CLOSED")


def error_handler(*_):
    print("error has occurred")


client = MeiliWebsocketClient(
    "77b971e8f47e421045d384558059c31679b4b6ca",
    open_handler=open_handler,
    close_handler=close_handler,
    error_handler=error_handler,
)

client.add_vehicle("2eb03045cbc640fdbd2181ab60387b7a")
client.run()

If you want to run it without block the program flow, you can run it inside a thread using .run_in_thread() method.

Here are all the parameters you can pass to the constructor of websocket client:

token (str) - authentication token with the WS
fleet (bool) - use fleet websocket if set to true (default: true)
open_handler() (callable) - a callable object that will be called with no parameters when websocket is opened
close_handler() (callable) - a callable objects that will be called with no parameters when websocket is closed
error_handler(err) (callable) - a callable with a single parameter that will receive the exception as a parameter
task_handler(task: Task, data: dict, vehicle: str) - a callable that will be called when a new task is received
move_action_handler(message: MoveMessage, data: dict, vehicle: str) - a callable for moving vehicle according to FMS
slow_down_handler(message: SlowDownMessage, data: dict, vehicle: str) - a callable for altering movement of robots
topic_list_handler(data: dict, vehicle: str) - a callable for handling topic list request
topic_list_initializer_handler(topics: List[RosTopic], data: dict, vehicle: str) - a callable to initialize topics

MQTT

from meili_sdk.mqtt.client import MeiliMqttClient


def on_message(client, topic, raw_data, data):
    print(f"message in topic: {topic} received with the following data: {data}")


def on_open(*_):
    print(f"Connection was opened")


c = MeiliMqttClient(
    client_id="meili-agent-0f24942b-fce2-498b-b6fa-bcb995e8f377",
    host="ac8bf42345081496faead3a80186328e-349527337.eu-north-1.elb.amazonaws.com",
    port=1883,
    open_handler=on_open,
    message_handler=on_message,
)

c.run(block=False)
c.subscribe(
    "meili/setup/4c55eb782d104fa8bbdf4c3b912b959b/vehicle/5e5ee61798954bcb9dcd3b02735072ea/state"
)

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

meili_sdk-0.8.2.tar.gz (31.4 kB view details)

Uploaded Source

File details

Details for the file meili_sdk-0.8.2.tar.gz.

File metadata

  • Download URL: meili_sdk-0.8.2.tar.gz
  • Upload date:
  • Size: 31.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.16

File hashes

Hashes for meili_sdk-0.8.2.tar.gz
Algorithm Hash digest
SHA256 672cae46996b96eb65a1b28f67df4cae69dbd828c373c78e1e2ec2d0b7c52f4f
MD5 218f4faba6d40615825fd7a8cdf61c7c
BLAKE2b-256 036e4e8af38163b1bb219dde62f7851a5b64c39c31b8f2051daffea4a9095b57

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