Invitations to MongoDB Atlas for Collaborative Data Science Projects

Question

Pulumi · Accepted Answer

To send invitations for collaborating on data science projects in MongoDB Atlas using Pulumi, you use the `mongodbatlas.ProjectInvitation` resource. This resource will allow you to invite users to a MongoDB Atlas project by specifying their email and roles within the project.

Here's a step-by-step explanation followed by an appropriate Pulumi program in Python:

1. **Setup a MongoDB Atlas Project**: Before inviting collaborators, ensure there is a MongoDB Atlas project set up. The `mongodbatlas.Project` resource is used to create a new project within your MongoDB Atlas organization.

2. **Invite Users to the Project**: Use `mongodbatlas.ProjectInvitation` to send an invitation to the user. You'll need the email of the invitee and the roles they should have within the project. A role defines the level of access the user will have.

3. **Pulumi Stack Exports**: In the Pulumi program, we can export the invitation ID or any other relevant information after sending the invitation, which allows us to reference or track this operation outside of MongoDB Atlas if needed.

Here's what your Pulumi program in Python might look like:

```python
import pulumi
import pulumi_mongodbatlas as mongodbatlas

# Note: The MongoDB Atlas provider should be configured with the right API keys before running this code.
# MongoDB Atlas Project
project = mongodbatlas.Project("data-science-project",
    org_id="your_mongodb_org_id",  # Replace with your MongoDB Atlas organization ID
    name="Data Science Project",
)

# Invitation to MongoDB Atlas Project
invitation = mongodbatlas.ProjectInvitation("project-invitation",
    project_id=project.id,
    email="collaborator@example.com",  # Replace with the invitee's email
    roles=["readWrite", "dbAdmin"]  # Replace with the desired roles for the collaborator
)

# Export the invitation ID
pulumi.export("invitation_id", invitation.id)
```

Make sure to replace placeholder data like `your_mongodb_org_id` and `collaborator@example.com` with actual values relevant to your MongoDB Atlas organization and the collaborator you're inviting. The roles array `["readWrite", "dbAdmin"]` specifies the level of access; update these roles based on the required permission for your collaborator.

In the Pulumi program above, we create an instance of `mongodbatlas.Project` to represent our MongoDB Atlas project. We then create a `mongodbatlas.ProjectInvitation` to send an invite to the intended user's email with specified roles. Finally, we export the `invitation_id` so that it can be accessed from the Pulumi CLI or the Pulumi Service UI.

To run this Pulumi program, ensure that you have Pulumi installed and configured with access to your MongoDB Atlas account via API keys. Save the code in a file with a `.py` extension, then simply run `pulumi up` in your terminal from the same directory as your file. This will initiate the deployment process, where Pulumi manages the resources as per the defined state.