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Clarified the use of task IDs

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Joel Collins 2019-01-29 14:53:17 +00:00
parent 54106e845f
commit 0aae79a2ad
1 changed files with 8 additions and 8 deletions
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16
docs/source/plugins/hardware.rst
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@ -25,13 +25,13 @@ To prevent this, any function can be offloaded to a background task. This is don
by calling ``<microscope>.task.start(<long_running_function>, *args, **kwargs)``. Internally, the ``task`` object stores a list
of all requested tasks, which themselves contain a ``state`` dictionary. This dictionary stores the status of the task (if it
is idle, running, error, or success), information about the start and end times, a unique task ID, and the return value of
the long-running function.
the long-running function.
By using tasks, a function can be started in the background, and it's return value fetched at a later time once it has reported
success.
Additionally, API routes have been created to allow checking the state of all tasks, a particular task by ID, removing individual
tasks, and pruning the task list of any no-longer-running tasks.
success. If a long-running task is started by some client, it should note the ID returned in the task state JSON, and use this to
periodically check on the status of that particular task. API routes have been created to allow checking the state of all tasks
(GET `/task`), a particular task by ID (GET `/task/<task_id>`), removing individual tasks (DELETE `/task/<task_id>`), and pruning
the task list of any no-longer-running tasks (DELETE `/task`).
An example of a long running task may look like:
@ -55,9 +55,9 @@ After some time, once the task has completed, it could be retreived using:
.. code-block:: python
...
def get_result(self):
self.my_task.state['status'] == "success":
return self.my_task.state['return']
def get_result(self):
self.my_task.state['status'] == "success":
return self.my_task.state['return']
Locks
+++++