neon_api is a Python wrapper designed to simplify interactions with the Neon API. It provides a convenient way for developers to integrate their Python applications with the Neon platform, offering methods to manage API keys, projects, branches, databases, endpoints, roles, and operations programmatically.

With neon_api, you can automate tasks, streamline workflows, and build powerful integrations with ease.

Installation of neon_api is easy, with pip:

$ pip install neon-api

from neon_api import NeonAPI

# Initialize the client.
neon = NeonAPI(api_key='your_api_key')

Documentation is available on ReadTheDocs.

Remember that you should never expose your api_key and handle it carefully since it gives access to sensitive data. It's better to set it as an environment variable (e.g. NEON_API_KEY + accompanying neon_api.from_environ()).

• me(): Returns the current user.

Manage API keys:

• api_keys(): Returns a list of API keys.
• api_key_create(**json): Creates an API key.
• api_key_delete(key_id): Deletes a given API key.

Manage projects:

• projects(): Returns a list of projects.
• project(project_id): Returns a specific project.
• project_create(project_id, **json): Creates a new project.
• project_update(project_id, **json): Updates a given project.
• project_delete(project_id): Deletes a given project.
• project_permissions(project_id): Returns a list of permissions for a given project.
• project_permissions_grant(project_id, **json): Grant permissions to a given project.
• project_permissions_revoke(project_id, **json): Revoke permissions from a given project.

Manage branches:

• branches(project_id): Returns a list of branches for a given project.
• branch(project_id, branch_id): Returns a specific branch.
• branch_create(project_id, **json): Creates a new branch.
• branch_update(project_id, branch_id, **json): Updates a given branch.
• branch_delete(project_id, branch_id): Deletes a given branch.
• branch_set_as_primary(project_id, branch_id): Sets a given branch as primary.

Manage databases:

• databases(project_id, branch_id): Returns a list of databases for a given project and branch.
• database(project_id, branch_id, database_id): Returns a specific database.
• database_create(project_id, branch_id, **json): Creates a new database.
• database_update(project_id, branch_id, **json): Updates a given database.
• database_delete(project_id, branch_id, database_id): Deletes a given database.

Manage endpoints:

• endpoints(project_id, branch_id): Returns a list of endpoints for a given project and branch.
• endpoint_create(project_id, branch_id, **json): Creates a new endpoint.
• endpoint_update(project_id, branch_id, endpoint_id, **json): Updates a given endpoint.
• endpoint_delete(project_id, branch_id, endpoint_id): Deletes a given endpoint.
• endpoint_start(project_id, branch_id, endpoint_id): Starts a given endpoint.
• endpoint_suspend(project_id, branch_id, endpoint_id): Suspends a given endpoint.

Manage roles:

• roles(project_id, branch_id): Returns a list of roles for a given project and branch.
• role(project_id, branch_id, role_name): Returns a specific role.
• role_create(project_id, branch_id, role_name): Creates a new role.
• role_delete(project_id, branch_id, role_name): Deletes a given role.
• role_password_reveal(project_id, branch_id, role_name): Reveals the password for a given role.
• role_password_reset(project_id, branch_id, role_name): Resets the password for a given role.

Manage operations:

• operations(project_id): Returns a list of operations for a given project.
• operation(project_id, operation_id): Returns a specific operation.

Experimental:

• consumption(): Returns a list of project consumption metrics.

View the Neon API documentation for more information on the available endpoints and their parameters.

First, create a virtual environment, then install the dependencies of the library with pip:

$ pip install -r requirements.txt

This will install all the necessary dependencies for development.

To run the tests, use the following command:

$ make test

The tests don't require an internet connection, as they are mocked using the pytest-vcr library. To record new cassettes, use the following command:

$ make record

This will record new cassettes for the tests. Make sure to commit these cassettes along with your changes.

Apache 2.0 Licensed.