EVECelery.tasks.ESI.Fleets.get_fleets_fleet_id_wings#
A task definition module with associated response models returned by the task.
This module was automatically generated from Jinja templates with the codegen tool included in the root of this repo. You should not directly modify this module but instead modify the template ‘codegen/Templates/ESI_Task.py’.
Module Contents#
Classes#
Get fleet wings |
- class EVECelery.tasks.ESI.Fleets.get_fleets_fleet_id_wings.get_fleets_fleet_id_wings#
Bases:
EVECelery.tasks.BaseTasks.TaskESI.TaskESIGet fleet wings
- request_method() str#
Returns the type of request made to ESI
This method will return the request method (get, post, etc.) made to ESI.
- Returns:
Request method passed to requests.request()
- Return type:
str
- route(fleet_id: int, **kwargs) str#
ESI route with input request parameters
- Parameters:
fleet_id (int) – ID for a fleet
- Returns:
ESI route with request path parameters if any
- Return type:
str
- cache_ttl_default() int#
TTL for when cache is unspecified.
- Returns:
The number of seconds to cache a response
- Return type:
int
- get_sync(fleet_id: int, datasource: str = 'tranquility', language: str = 'en', token: str | None = None, kwargs_apply_async: dict | None = None, kwargs_get: dict | None = None) EVECelery.tasks.ESI.Fleets.Models.get_fleets_fleet_id_wings_200.Response200_get_fleets_fleet_id_wings#
Get fleet wings
Return information about wings in a fleet
— Alternate route: /dev/fleets/{fleet_id}/wings/
Alternate route: /legacy/fleets/{fleet_id}/wings/
Alternate route: /v1/fleets/{fleet_id}/wings/
— This route is cached for up to 5 seconds
NOTE: This function calls the task and blocks until the result is available. This function is a wrapper around Celery’s task.apply_async() and AsyncResult.get() methods. Instead of a dictionary, this function returns a pydantic model to more easily see what returned data responses look like, what is optionally returned, etc.
If you would instead like to return an async result, use Celery’s apply_async() method on this task.
- Parameters:
fleet_id (int) – ID for a fleet
datasource (str) – The server name you would like data from – [‘tranquility’]
language (str) – Language to use in the response, takes precedence over Accept-Language – [‘en’, ‘en-us’, ‘de’, ‘fr’, ‘ja’, ‘ru’, ‘zh’, ‘ko’, ‘es’]
token (str | None) – Access token to use if unable to set a header
kwargs_apply_async (Optional[dict]) –
Dictionary of keyword arguments passed to task.apply_async()
kwargs_get (Optional[dict]) –
Dictionary of keyword arguments passed to AsyncResult.get()
- Returns:
The response from ESI as a pydantic object. The response model will follow the structure of
Response200_get_fleets_fleet_id_wings.- Return type:
- run(fleet_id: int, datasource: str = 'tranquility', language: str = 'en', token: str | None = None, **kwargs) dict#
The task body that runs on the EVECelery worker
This is the task body that runs on the EVECelery worker.
IMPORTANT NOTE: You should not directly call this function from your client code as it will run within the context of your client and won’t be sent to the message broker to run on a worker node. To correctly call this task body, see Celery’s documentation on methods for calling tasks.
See also this task’s
get_sync()which is a wrapper function around Celery’s apply_async().get() call.Get fleet wings
Return information about wings in a fleet
— Alternate route: /dev/fleets/{fleet_id}/wings/
Alternate route: /legacy/fleets/{fleet_id}/wings/
Alternate route: /v1/fleets/{fleet_id}/wings/
— This route is cached for up to 5 seconds
- Parameters:
fleet_id (int) – ID for a fleet
datasource (str) – The server name you would like data from – [‘tranquility’]
language (str) – Language to use in the response, takes precedence over Accept-Language – [‘en’, ‘en-us’, ‘de’, ‘fr’, ‘ja’, ‘ru’, ‘zh’, ‘ko’, ‘es’]
token (str | None) – Access token to use if unable to set a header
- Returns:
The response from ESI as a JSON dictionary. The response dictionary will follow the structure of
Response200_get_fleets_fleet_id_wings.- Return type:
dict