def runProcessSubscriber(request: Request, pool_scheduler: ThreadPoolScheduler,
dataSubscriber: DataSubscriber) -> None:
rx.repeat_value(request).pipe(
ops.subscribe_on(pool_scheduler),
ops.map(lambda r: generate_content(r)),
).subscribe(
on_next=dataSubscriber.on_next,
on_error=dataSubscriber.on_error,
on_completed=dataSubscriber.on_completed,
)
def runProcess(request: Request, pool_scheduler: ThreadPoolScheduler) -> None:
rx.repeat_value(request).pipe(
ops.subscribe_on(pool_scheduler),
ops.map(lambda r: generate_content(r)),
).subscribe(
on_next=lambda response: print("PROCESS %s: %s" %
(response.id, str(response))),
on_error=lambda e: print(e),
on_completed=lambda: print("PROCESS done!"),
)
def create():
return rx.repeat_value(42, -1)
from rx import repeat_value
"""
this method will create an observable that will repeat the given value as per the count is given
:parameter
value: optional. the value to be repeated
repeat_count: optional. the number of times the given value to be repeated.
:return
it will return an observable the will repeat the given value as per the count is given.
"""
my_repeat = repeat_value(77, 10)
my_repeat.subscribe(lambda x: print("value is {}".format(x)),
lambda e: print("error : {}".format(e)),
lambda: print("Complete"))
# result
# value is 77
# value is 77
# value is 77
# value is 77
# value is 77
# value is 77
# value is 77
# value is 77
# value is 77
# value is 77
# Complete
def create():
return rx.repeat_value(42, -1)
rx.create() # observable 을 생성할 때 사용 # This observable will not output anything and directly emit the complete state. rx.empty() # 해당 observable 은 아무것도 output 하지 않고 즉시 완료 상태를 발생시킨다. # This method creates an observable that will never reach the complete state. rx.never() # 완료 상태에 도달할 수 없는 observable 을 생성한다. rx.throw() rx.interval() rx.from_() rx.interval() rx.just() rx.range() rx.repeat_value() rx.start() rx.timer() """Mathematical""" op.average() op.concat() op.count() op.max() op.min() op.reduce() op.sum() """Transformation""" op.buffer() op.group_by()