py-dactyl 0.1.12

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

This wrapper is mostly complete for Pterodactyl 0.7. It will be updated to work with the 1.0 release, and it's likely that 0.7 support will be dropped at that time. Older versions that support 0.7 will remain available.

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

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. The Client API does not contain any destructive functions, so it is relatively safe to experiment with.

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.

Client API

The Client API or Account API is accessed by users of the Pterodactyl panel. 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.
client = PterodactylClient('https://panel.mydomain.com', 'MySuperSecretApiKey')

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

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

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

Application API

The Application API is the administrative API of the Pterodactyl panel. Below are examples of how you might use this API.

from pydactyl import PterdoactylClient

# Create a client to connect to the panel and authenticate with your API key.
client = 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.
client.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=[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:

client.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 = client.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()
client.user.get_user_info(user_id)
{'object': 'user', 'attributes': {'id': 14, 'external_id': None, ....
# Delete the user
client.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 = client.nodes.list_node_allocations(node_id)
ports = []
for page in allocs:
    for item in page.data:
        ports.append(item['attributes']['port'])
len(ports)
151