with ignore_result=False. This applies to both Task subclasses and decorated tasks. Example Task subclass: class MyTask(Task): ignore_result = False Example decorated task: @app.task(ignore_result=False) entry-points to install additional sub- commands, where the value of the entry-point must point to a valid subclass of celery.bin.base.Command. There’s limited documentation, unfortunately, but you can find inspiration runtime? Answer: Yes, you can use the Django database scheduler, or you can create a new schedule subclass and override is_due(): from celery.schedules import schedule class my_schedule(schedule):

with ignore_result=False. This applies to both Task subclasses and decorated tasks. Example Task subclass: class MyTask(Task): ignore_result = False Example decorated task: @app.task(ignore_result=False) entry-points to install additional sub- commands, where the value of the entry-point must point to a valid subclass of celery.bin.base.Command. There’s limited documentation, unfortunately, but you can find inspiration runtime? Answer: Yes, you can use the Django database scheduler, or you can create a new schedule subclass and override is_due(): from celery.schedules import schedule class my_schedule(schedule):

with ignore_result=False. This applies to both Task subclasses and decorated tasks. Example Task subclass: class MyTask(Task): ignore_result = False Example decorated task: @app.task(ignore_result=False) entry-points to install additional sub- commands, where the value of the entry-point must point to a valid subclass of celery.bin.base.Command. There’s limited documentation, unfortunately, but you can find inspiration runtime? Answer: Yes, you can use the Django database scheduler, or you can create a new schedule subclass and override is_due(): from celery.schedules import schedule class my_schedule(schedule):

with ignore_result=False. This applies to both Task subclasses and decorated tasks. Example Task subclass: class MyTask(Task): ignore_result = False Example decorated task: @app.task(ignore_result=False) entry-points to install additional sub- commands, where the value of the entry-point must point to a valid subclass of celery.bin.base.Command. There’s limited documentation, unfortunately, but you can find inspiration runtime? Answer: Yes, you can use the Django database scheduler, or you can create a new schedule subclass and override is_due(): from celery.schedules import schedule class my_schedule(schedule):

with ignore_result=False. This applies to both Task subclasses and decorated tasks. Example Task subclass: class MyTask(Task): ignore_result = False Example decorated task: @app.task(ignore_result=False) entry-points to install additional sub- commands, where the value of the entry-point must point to a valid subclass of celery.bin.base.Command. There’s limited documentation, unfortunately, but you can find inspiration runtime? Answer: Yes, you can use the Django database scheduler, or you can create a new schedule subclass and override is_due(): from celery.schedules import schedule class my_schedule(schedule):

with ignore_result=False. This applies to both Task subclasses and decorated tasks. Example Task subclass: class MyTask(Task): ignore_result = False Example decorated task: @app.task(ignore_result=False) runtime? Answer: Yes, you can use the Django database scheduler, or you can create a new schedule subclass and override is_due(): from celery.schedules import schedule class my_schedule(schedule): Lower index means higher precedence. class celery.states.state[source] Task state. State is a subclass of str [https://docs.python.org/dev/library/stdtypes.html#str], implementing comparison methods

objects.create(url, info) We use subtask here to safely pass around the callback task. subtask is a subclass of dict used to wrap the arguments and execution options for a single task invocation. See Sets shortcut to create subtask instances: task.subtask(args, kwargs, options) subtask is actually a subclass of dict, which means it can be serialized with JSON or other encodings that doesn’t support complex URL("http://example.com/multiply").get_async(x=10, y=10) URL is a shortcut to the HttpDispatchTask. You can subclass this to extend the functionality. >>> from celery.task.http import HttpDispatchTask >>> res =

objects.create(url, info) We use subtask here to safely pass around the callback task. subtask is a subclass of dict used to wrap the arguments and execution options for a single task invocation. See Sets shortcut to create subtask instances: task.subtask(args, kwargs, options) subtask is actually a subclass of dict, which means it can be serialized with JSON or other encodings that doesn’t support complex URL("http://example.com/multiply").get_async(x=10, y=10) URL is a shortcut to the HttpDispatchTask. You can subclass this to extend the functionality. >>> from celery.task.http import HttpDispatchTask >>> res = HttpDispatchTask

objects.create(url, info) We use subtask here to safely pass around the callback task. subtask is a subclass of dict used to wrap the arguments and execution options for a single task invocation. See also a shortcut to create subtasks: task.subtask(args, kwargs, options) subtask is actually a dict subclass, which means it can be serialized with JSON or other encodings that doesn’t support complex Python URL("http://example.com/multiply").get_async(x=10, y=10) URL is a shortcut to the HttpDispatchTask. You can subclass this to extend the functionality. >>> from celery.task.http import HttpDispatchTask >>> res =

objects.create(url, info) We use subtask here to safely pass around the callback task. subtask is a subclass of dict used to wrap the arguments and execution options for a single task invocation. See also: a shortcut to create subtasks: task.subtask(args, kwargs, options) subtask is actually a dict subclass, which means it can be serialized with JSON or other encodings that doesn’t support complex Python URL("http://example.com/multiply").get_async(x=10, y=10) URL is a shortcut to the HttpDispatchTask. You can subclass this to extend the functionality. >>> from celery.task.http import HttpDispatchTask >>> res = HttpDispatchTask