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Adding Postman Collection

We have made a Postman collection for Avalanche, that includes all the public API calls that are available on an AvalancheGo instance, including environment variables, allowing developers to quickly issue commands to a node and see the response, without having to copy and paste long and complicated curl commands.

Link to GitHub

What Is Postman?

Postman is a free tool used by developers to quickly and easily send REST, SOAP, and GraphQL requests and test APIs. It is available as both an online tool and an application for Linux, MacOS and Windows. Postman allows you to quickly issue API calls and see the responses in a nicely formatted, searchable form.

Along with the API collection, there is also the example Avalanche environment for Postman, that defines common variables such as IP address of the node, Avalanche addresses and similar common elements of the queries, so you don't have to enter them multiple times.

Combined, they will allow you to easily keep tabs on an Avalanche node, check on its state and do quick queries to find out details about its operation.

Setup

Postman Installation

Postman can be installed locally or used as a web app. We recommend installing the application, as it simplifies operation. You can download Postman from its website. It is recommended that you sign up using your email address as then your workspace can be easily backed up and shared between the web app and the app installed on your computer.

Download Postman

When you run Postman for the first time, it will prompt you to create an account or log in. Again, it is not necessary, but recommended.

Collection Import

Select Create workspace from Workspaces tab and follow the prompts to create a new workspace. This will be where the rest of the work will be done.

Create workspace

We're ready to import the collection. On the top-left corner of the Workspaces tab select Import and switch to Link tab.

Import collection

There, in the URL input field paste the link below to the collection:

https://raw.githubusercontent.com/ava-labs/avalanche-postman-collection/master/Avalanche.postman_collection.json

Postman will recognize the format of the file content and offer to import the file as a collection. Complete the import. Now you will have Avalanche collection in your Workspace.

Collection content

Environment Import

Next, we have to import the environment variables. Again, on the top-left corner of the Workspaces tab select Import and switch to Link tab. This time, paste the link below to the environment JSON:

https://raw.githubusercontent.com/ava-labs/avalanche-postman-collection/master/Example-Avalanche-Environment.postman_environment.json

Postman will recognize the format of the file:

Environment import

Import it to your workspace. Now, we will need to edit that environment to suit the actual parameters of your particular installation. These are the parameters that differ from the defaults in the imported file.

Select the Environments tab, choose the Avalanche environment which was just added. You can directly edit any values here:

Environment content

As a minimum, you will need to change the IP address of your node, which is the value of the host variable. Change it to the IP of your node (change both the initial and current values). Also, if your node is not running on the same machine where you installed Postman, make sure your node is accepting the connections on the API port from the outside by checking the appropriate command line option.

Now we sorted everything out, and we're ready to query the node.

Conclusion

If you have completed the tutorial, you are now able to quickly issue API calls to your node without messing with the curl commands in the terminal. This allows you to quickly see the state of your node, track changes or double-check the health or liveness of your node.

Contributing

We're hoping to continuously keep this collection up-to-date with the Avalanche APIs. If you're able to help improve the Avalanche Postman Collection in any way, first create a feature branch by branching off of master, next make the improvements on your feature branch and lastly create a pull request to merge your work back in to master.

If you have any other questions or suggestions, come talk to us.

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