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AlgoKit goal command provides the user with a mechanism to run goal cli commands against the current AlgoKit LocalNet.

You can explore all possible goal commands by running algokit goal e.g.:

$ ~ algokit goal
 GOAL is the CLI for interacting Algorand software instance. The binary 'goal' is installed alongside the algod binary and is considered an integral part of the complete installation. The binaries should be used in tandem - you should not try to use a version of goal with a different version of algod.

 goal [flags]
 goal [command]

 Available Commands:
 account     Control and manage Algorand accounts
 app         Manage applications
 asset       Manage assets
 clerk       Provides the tools to control transactions
 completion  Shell completion helper
 help        Help about any command
 kmd         Interact with kmd, the key management daemon
 ledger      Access ledger-related details
 license     Display license information
 logging     Control and manage Algorand logging
 network     Create and manage private, multi-node, locally-hosted networks
 node        Manage a specified algorand node
 version     The current version of the Algorand daemon (algod)
 wallet      Manage wallets: encrypted collections of Algorand account keys

 -d, --datadir stringArray   Data directory for the node
 -h, --help                  help for goal
 -k, --kmddir string         Data directory for kmd
 -v, --version               Display and write current build version and exit

 Use "goal [command] --help" for more information about a command.

For instance, running algokit goal report would result in output like:

$ ~ algokit goal report
 12885688322 [rel/stable] (commit #181490e3)
 go-algorand is licensed with AGPLv3.0
 source code available at

 Linux ff7828f2da17 5.15.49-linuxkit #1 SMP PREEMPT Tue Sep 13 07:51:32 UTC 2022 aarch64 GNU/Linux

 Genesis ID from genesis.json: sandnet-v1

 Last committed block: 0
 Time since last block: 0.0s
 Sync Time: 0.0s
 Last consensus protocol: future
 Next consensus protocol: future
 Round for next consensus protocol: 1
 Next consensus protocol supported: true
 Last Catchpoint:
 Genesis ID: sandnet-v1
 Genesis hash: vEg1NCh6SSXwS6O5HAfjYCCNAs4ug328s3RYMr9syBg=

If the AlgoKit Sandbox algod docker container is not present or not running, the command will fail with a clear error, e.g.:

$ ~ algokit goal
 Error: No such container: algokit_algod
 Error: Error executing goal; ensure the Sandbox is started by executing `algokit sandbox status`
$ ~ algokit goal
 Error response from daemon: Container 5a73961536e2c98e371465739053d174066c40d00647c8742f2bb39eb793ed7e is not running
 Error: Error executing goal; ensure the Sandbox is started by executing `algokit sandbox status`

Working with Files in the Container

When interacting with the container, especially if you're using tools like goal, you might need to reference files or directories. Here's how to efficiently deal with files and directories:

Automatic File Mounting

When you specify a file or directory path in your goal command, the system will automatically mount that path from your local filesystem into the container. This way, you don't need to copy files manually each time.

For instance, if you want to compile a teal file:

algokit goal clerk compile /Path/to/inputfile/approval.teal -o /Path/to/outputfile/approval.compiled
Here, /Path/to/inputfile/approval.teal and /Path/to/outputfile/approval.compiled are paths on your local file system, and they will be automatically accessible to the goal command inside the container.

Manual Copying of Files

In case you want to manually copy files into the container, you can do so using docker cp:

docker cp foo.txt algokit_algod:/root
This command copies the foo.txt from your local system into the root directory of the algokit_algod container.

Note: Manual copying is optional and generally only necessary if you have specific reasons for doing so since the system will auto-mount paths specified in commands.

Running multiple commands

If you want to run multiple commands or interact with the filesystem you can execute algokit goal --console. This will open a Bash shell session on the algod Docker container and from there you can execute goal directly, e.g.:

$ algokit goal --console
Opening Bash console on the algod node; execute `exit` to return to original console
root@82d41336608a:~# goal account list

For more details about the AlgoKit goal command, please refer to the AlgoKit CLI reference documentation.