Skip to main content

A jpype based TRADE wrapper for using TRADE with Python

Project description

Disclaimer

This is a MAJOR work in progress, and everything is subject to change. Questions and bug reports are encouraged!

What is PyTRADE?

The purpose of this project is to enable developers to use TRADE in python. This is primarily to allow developers to integrate java components available in DIARC with python-specific libraries, such as simulation environments or reinforcement learning.

The process for using PyTRADE is simple: Install it with pip, initialize your TRADE wrapper, and you're good to go. You can also create python implementations of Java interfaces, allowing you to implement new TRADE services in python.

Installation

To install this package, make sure you have pip installed on your machine and then run:

pip install pytrade-wrapper

Setup

  1. Set up DIARC. See the DIARC readme for install instructions.
  2. In your DIARC directory, Run the command: ./gradlew publishToMavenLocal.
  3. From the DIARC readme, follow instructions for setting up Metric-FF. This will include creating/modifying gradle.properties.
  4. From the DIARC repo's trade.properties.default file, follow the instructions for making your own trade.properties file for java.
  5. In your personal trade.properties, change STARTDISCOVERY to true.

Using the Wrapper

Initializing

  1. If you just want to use TRADE, you can just import pyTRADE.core.wrapper. The JVM will automatically start.
  2. If you want to use the DIARC wrapper, instantiate the TRADEWrapper object.
  3. You can now use its various methods, most importantly call_trade(...).

Note: After importing trade_wrapper, you can also import anything from the DIARC and TRADE jars, following normal JPype standards. Import order matters here!

Implementing an Existing Java Interface

The primary reason you would want to implement an existing Java interface is to provide Python implementations for TRADE services. For example, if you wish to control a robotic arm through Python, and advertise that controller to TRADE, you can implement the ArmInterface from edu.tufts.hrilab.interfaces.ArmInterface.

It may be useful to read the JPype documentation on this process first.

  1. Create a new python class, such as PythonArmComponent
  2. Decorate it with @JImplements([YourInterface]), e.g. @JImplements(ArmInterface). Make sure you have [YourInterface] imported!
  3. For every method in the interface, implement it by decorating a standard python function definition with @JOverride
  4. Instantiate an instance of the class you just created, and register it with TRADE using: TRADE.registerAllServices([your_object], "")

Your methods from your new class should now be available via TRADE, assuming they implement a function annotated with @TRADEService in Java.

Please see the examples for additional guidance.

Making a new interface

If you need to advertise new TRADE services that aren't covered by any existing interfaces in DIARC, follow these steps.

  1. Create your new interface in the appropriate location in Java.
  2. Make sure you annotate the relevant methods with @TRADEService
  3. Run ./gradlew publishToMavenLocal

You can now follow the steps from the previous section to implement your new interface.

Todo:

  • Implement DIARC detectors
  • Let users add to the classpath

For questions, email (marlow.fawn@gmail.com)

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

pytrade_wrapper-1.0.1.tar.gz (768.4 kB view details)

Uploaded Source

Built Distribution

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

pytrade_wrapper-1.0.1-py3-none-any.whl (769.5 kB view details)

Uploaded Python 3

File details

Details for the file pytrade_wrapper-1.0.1.tar.gz.

File metadata

  • Download URL: pytrade_wrapper-1.0.1.tar.gz
  • Upload date:
  • Size: 768.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for pytrade_wrapper-1.0.1.tar.gz
Algorithm Hash digest
SHA256 b12f241cc490ea676f0e64b74d60328982e8888ca87380d688ac108ad8ddf34b
MD5 a13e982c22531525f98d01ddced14658
BLAKE2b-256 34aefc706a73afba4831bcc931490ff3b0e1d0f7416d434cc09e8a7ca90f4fb6

See more details on using hashes here.

File details

Details for the file pytrade_wrapper-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: pytrade_wrapper-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 769.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for pytrade_wrapper-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 12af41f00cd2e293e001e5bda80c554faa270aac538578464b663a110943e917
MD5 4cd75df6258536cbf9904ca086af0864
BLAKE2b-256 afc2da4fd62d12fea5598af0c9e4d41d2040b5a22d95f8bf44b467cf27cda4d0

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