py-dactyl 1.1.4

An easy to use Python wrapper for the Pterodactyl Panel API.

pydactyl

An easy to use Python wrapper for the Pterodactyl Panel API.

State of the project

Support for Pterodactyl 1.x endpoints is mostly completed, however some endpoints are still missing. Future versions will not attempt to remain backwards compatible with versions of Pterodactyl before 1.0, however old versions of pydactyl that do support 0.7 will remain available.

The 1.0 release is mostly stable and will not see significant changes until the Pterodactyl 2.0 release. Pull Requests will still be accepted and new endpoints will continue to be added.

If you encounter problems, find APIs that haven't been implemented, or have a feature request please file a Github issue.

Documentation

Generated documentation can be found at https://pydactyl.readthedocs.io/ .

Installing

To install with pip:

pip install py-dactyl

Getting Started

Pterodactyl has two different types of API keys: Client (also known as Account) and Application. Any user can generate an Account API key to control their own servers. The Account API key for an Administrator user will be able to access any server's Client API.

Application API keys can only be generated by administrators. These keys can be used to create, modify, and delete servers, among other things. They have access to any server on the panel and can be destructive, so use with care.

Exploring the API

In addition to the documentation you can explore the interface in an interactive Python interpreter using built-ins like dir() and the __doc__ attribute as shown below.

from pydactyl import PterodactylClient
api = PterodactylClient('debug', 'anything')

[i for i in dir(api.client.servers) if not i.startswith('_')]
# ['account', 'backups', 'databases', 'files', 'get_server', 'get_server_utilization', 'list_permissions', 'list_servers', 'network', 'schedules', 'send_console_command', 'send_power_action', 'servers', 'settings', 'startup', 'users']
[i for i in dir(api.client.servers.settings) if not i.startswith('_')]
# ['reinstall_server', 'rename_server']
print(api.client.servers.settings.rename_server.__doc__)
#Renames the server.
#        Args:
#            server_id(str): Server identifier (abbreviated UUID)
#            name(str): New name for the server

Client API

The Client API or Account API is accessed by users of the Pterodactyl panel. Below is the layout of the Client API namespace.

api.client.account
api.client.servers
api.client.servers.backups
api.client.servers.databases
api.client.servers.files
api.client.servers.network
api.client.servers.schedules
api.client.servers.settings
api.client.servers.startup
api.client.servers.users

A full list of methods available can be found in the documentation.

Below are examples of how you might get information about your servers.

from pydactyl import PterodactylClient

# Create a client to connect to the panel and authenticate with your API key.
api = PterodactylClient('https://panel.mydomain.com', 'MySuperSecretApiKey')

# Get a list of all servers the user has access to
my_servers = api.client.servers.list_servers()
# Get the unique identifier for the first server.
srv_id = my_servers[0]['attributes']['identifier']

# Check the utilization of the server
srv_utilization = api.client.servers.get_server_utilization(srv_id)
print(srv_utilization)

# Turn the server on.
api.client.servers.send_power_action(srv_id, 'start')

Application API

The Application API is the administrative API of the Pterodactyl panel. Below is the layout of the Application API namespace.

api.locations
api.nests
api.nodes
api.servers
api.user

Below are examples of how you might use this API.

from pydactyl import PterodactylClient

# Create a client to connect to the panel and authenticate with your API key.
api = PterodactylClient('https://panel.mydomain.com', 'MySuperSecretApiKey')

# Create a server.  Customize the Nest and Egg IDs to match the IDs in your panel.
# This server is created with a limit of 8000 MB of memory, no access to swap, unlimited disk space, in location_id 1.
api.servers.create_server(name='My Paper Server', user_id=1, nest_id=1,
                          egg_id=3, memory_limit=8000, swap_limit=0,
                          backup_limit=0, disk_limit=0, location_ids=[1])
< Response[201] >

A 201 response indicates success, however if there is a problem with the request Pydactyl will raise an exception with additional details. When updating the location_ids field to an invalid location it displays an error:

api.servers.create_server(name='My Paper Server', user_id=1, nest_id=1,
                         egg_id=3, memory_limit=8000, swap_limit=0,
                         disk_limit=0, location_ids=[199])
Traceback (most recent call last):
File "<input>", line 6, in <module>
File "D:\code\pydactyl\pydactyl\api\servers.py", line 268, in create_server
  mode='POST', data=data, json=False)
File "D:\code\pydactyl\pydactyl\api\base.py", line 98, in _api_request
  'code'], errors['detail'])
pydactyl.exceptions.PterodactylApiError: Bad API Request(400) - NoViableNodeException - No nodes satisfying the requirements specified for automatic deployment could be found.

You can use the User class to add, modify, and delete panel users.

# Create a new user
result = api.user.create_user('test_user', '[e-mail]', 'Test', 'Name')
# Get the ID of the created user
user_id = result['attributes']['id']
# Get the user info, also returned by create_user()
api.user.get_user_info(user_id)
{'object': 'user', 'attributes': {'id': 14, 'external_id': None, ....
# Delete the user
api.user.delete_user(user_id=14)

Paginated Responses

Pydactyl API responses return a PaginatedResponse object that can be iterated over to automatically fetch additional pages as required. It is currently only used by get_node_allocations(), however in time all Pydactyl methods will return this response.

# Create a list of all ports
allocs = api.nodes.list_node_allocations(node_id)
ports = []
for page in allocs:
    for item in page.data:
        ports.append(item['attributes']['port'])
len(ports)
151