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Projects
Learn to use and manage projects that allow you to store and collaborate on data.
Now that you have your CLI and SDK environment connected with Gretel Cloud, we'll discuss the basics of Projects and how to utilize them within your workflows.
Between the CLI and SDK, you can create projects, create models within projects, and delete projects. The SDK does, however, offer more flexibility in how projects can be accessed and re-used.

Projects Overview

Gretel Projects can be thought of as repositories that hold models. Projects are created by single users and can be shared with various permissions:
  • Read: Users may access data artifacts (such as synthetic data and reports)
  • Write: Users may create and run models.
  • Administrator: Users may add other users to a project.
  • Owner: Full control.
The most important thing to note about Projects is that the name attribute of a project is globally unique. If you are familiar with services like Simple Storage Service (S3), then Project naming will feel very similar since S3 bucket names are also globally unique within a specific service provider (such as AWS).
Projects have the following attributes you should be familiar with:
  • name: A globally unique name for the project. When you create a project without specifying a specific name, Gretel will generate one for you. This will be a randomized name based on your username and a unique hash slug. If you specify a name that is already used, Project creation will fail.
  • display_name: This can be any descriptive name for the Project that will control how the Project is listed and displayed in the Gretel Console. It is non-unique.
  • description: This optional field can be provided to provide a user-friendly description of the Project.
When using the CLI and SDK and you need to specify a Project parameter or variable, you should ensure you are using the Project name (unique key).
We are introducing new ID values that we call Gretel UIDs, for projects these will be randomized values that are prefixed with proj_. You may start seeing this in lieu of Project names but they are effectively the same. A full example of a Project GUID is: proj_2BGDjIP0B2nx3RmNw8rURRUm0dz.

CLI Project Management

Next, let's look at creating and using Projects from the Gretel CLI.
At any point, if you ever set a "default Project" via the CLI either through the gretel configure command or by using the --set-default flag and you do not explicitly configure a project when running subsequent commands, your default Project will be used for all model operations.
At any point, you can get help on project management in the CLI by running:
$ gretel projects --help

Creating Projects

You can create a project with auto-naming by running:
$ gretel projects create
This will return a message (and the full Project object) that looks something like this:
INFO: Created project john-b0ab0.
INFO: Console link: https://console.gretel.cloud/john-b0ab0
Now, you may use this Project name as a reference in future operations.
You may also specify other Project attributes at creation time. For example, let's try selecting a unique project name and setting a display name for the console:
$ gretel projects create --name my-unique-project-name --display-name "Test Project 101"
Which returns:
INFO: Created project my-unique-project-name.
INFO: Console link: https://console.gretel.cloud/my-unique-project-name
If you follow the Console link, you will now see your new project by it's display name:
If the Project name you choose is not available, the CLI will return an error.

Deleting Projects

Deleting projects via CLI is coming soon.

SDK Project Management

The Gretel Python SDK gives more flexibility and control around Project management. Within the SDK, the Projects module and class should be the primary orientation point for doing most of your work with Gretel.
The SDK differs in that when creating or accessing Projects, you will be given an instance of a Project class that you can interact with. Let's take a look.

Creating Projects

Similar to our CLI interface, you can create a project with no input attributes:
from gretel_client import create_project
​
proj = create_project()
​
proj.name
# 'john-a6cbf'
​
proj.get_console_url()
# 'https://console.gretel.cloud/john-a6cbf'
Similarly, you can provide Project attributes to the create_project() method:
from gretel_client import create_project
​
proj = create_project(name="my-awesome-project", display_name="Projects 101")
​
proj.name
# 'my-awesome-project'
​
proj.get_console_url()
# 'https://console-dev.gretel.cloud/my-awesome-project'

Unique Project Name Helper

As mentioned earlier, Project names are globally unique. However, we have created a utility in the SDK that allows users to "share" identical project names such that any user could have their own version of a project called "test" or "foo".
This helper will either create a new project or fetch an existing one, giving you back a Project instance. Additionally, the display name of the project will automatically be set for you based on the name you provide. Let's take a look:
from gretel_client import create_or_get_unique_project
​
proj = create_or_get_unique_project(name="my-new-awesome-project")
​
proj.name
# 'my-new-awesome-project-92fbf5bd55d2472'
# NOTE: The slug at the end is automatically handled by the SDK
​
proj.display_name
# 'my-new-awesome-project'
# NOTE: This will be the display name in the console
In this mode, every user could use the exact my-new-awesome-project string and a unique slug for that user will be appended to the Project name. This may be especially useful if you are re-running Notebooks or routines and do not want to use a combination of create_project() and get_project() to determine if a project already exists or not.

Temporary Projects

In certain occasions, you may want to create a Project only for the purposes of creating a model and extracting the specific outputs (Synthetic Data, Synthetic Quality Report, etc). Once you have extracted the data you need, you can delete the Project, which will then delete all of the models and artifacts related to those models.
For this use case, there is a temporary project context manager you can use. Once the context handler exits, the Project will be deleted:
# NOTE: This import is one package down in the `projects` package
​
from gretel_client.projects import tmp_project
​
with tmp_project() as my_tmp_project:
print(my_tmp_project.name)
# 'john-3a8ae'
​
# At this point, our project has been deleted.

Accessing Projects

If you already have a Gretel Project, in order to run model operations, you will need to load an instance of the Project class in the SDK. We'll use our example Project from above: my-awesome-project to show how to do this.
from gretel_client import get_project
​
proj = get_project(name="my-awesome-project")
​
proj.name
# 'my-awesome-project'

Deleting Projects

To delete a project from the SDK, you utilize the delete() method on a Project instance:
from gretel_client import create_project
​
proj = create_project()
​
proj.delete()
Once you delete a project, the class instance is not usable anymore. If you try and do any meaningful operation with it, you'll receive a GretelProjectError such as:
GretelProjectError: Cannot call method. The project has been marked for deletion.
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On this page
Projects Overview
CLI Project Management
Creating Projects
Deleting Projects
SDK Project Management
Creating Projects
Unique Project Name Helper
Temporary Projects
Accessing Projects
Deleting Projects