@zippie/compute-sdk v1.3.5

Cartesi Compute

Getting Started

Requirements

• Docker
• docker-compose
• node 14.x
• yarn
• jinja2

Cloning

Make sure to include the submodules:

git clone --recurse-submodules ssh://github.com/cartesi/descartes.git

or using the http address:

git clone --recurse-submodules https://github.com/cartesi/descartes.git

Running

To run execute:

% docker build . -t cartesi/cartesi_compute:local
% yarn
% jinja2 -D num_players=2 docker-compose-template.yml | docker-compose -f - up --build

To shutdown:

% jinja2 -D num_players=2 docker-compose-template.yml | docker-compose -f - down -v

To run using one of the supported networks, you should:

• Define a MNEMONIC environment variable
• If using Infura, define a PROJECT_ID environment variable
• Specify the argument "-D network=<name>", where name should be one of the following supported networks: rinkeby, kovan, goerli, matic_testnet, bsc_testnet or avax_testnet

For instance, for using the Goerli testnet using Infura, run:

% export MNEMONIC=<your_mnemonic>
% export PROJECT_ID=<your_infura_project_id>
% jinja2 -D num_players=2 -D network=goerli docker-compose-template.yml | docker-compose -f - up --build

You can follow the output of a docker instance with:

% docker logs -f [name of the instance]

The instance could be retrieved by the command:

% docker ps --format {{.Names}}

This will run an environment connected to a private net (ganache or geth), with cartesi compute already deployed.

There are a number of sample computations available within the scripts directory. To execute one of these computations on the environment, you need to first store the corresponding machine template in the machines directory (as configured in the docker-compose template). As such, for the helloworld application, execute the following commands:

% cd scripts
% ./helloworld/build-cartesi-machine.sh ../machines

Then, instantiate the computation using hardhat:

% npx hardhat run --network localhost --no-compile helloworld/instantiate.ts

After that, it will possible to query the computation result running the getResult.ts script:

% npx hardhat run --network localhost --no-compile getResult.ts

IPFS Example

Among the sample computations, there is an example of usage of drive distribution through IPFS. Inside the folder there is a file run.sh and that is the only script you need to execute after starting the environment.

% ./scripts/ipfs/run.sh

Contributing

Thank you for your interest in Cartesi! Head over to our Contributing Guidelines for instructions on how to sign our Contributors Agreement and get started with Cartesi!

Please note we have a Code of Conduct, please follow it in all your interactions with the project.

License

Note: This component currently has dependencies that are licensed under the GNU GPL, version 3, and so you should treat this component as a whole as being under the GPL version 3. But all Cartesi-written code in this component is licensed under the Apache License, version 2, or a compatible permissive license, and can be used independently under the Apache v2 license. After this component is rewritten, the entire component will be released under the Apache v2 license. The arbitration d-lib repository and all contributions are licensed under GPL 3. Please review our COPYING file.