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Pipelines with asyncio coroutines



2019 Community Moderator ElectionWhat is a coroutine?Python asyncio: reader callback and coroutine communicationhow to cache asyncio coroutinesRunning asyncio coroutine out of the event flowasyncio queue consumer coroutineasyncio.ensure_future vs. BaseEventLoop.create_task vs. simple coroutine?Asyncio coroutinesAsyncio coroutine never awaited errorAsyncio Task in coroutineasyncio + asyncpg + pandas: obtain pandas.df with async selects from db - ERROR










3















I'm new with asyncio and I'm implemented some kind of pipeline using asyncio coroutines.
The main idea is to have different pipelines with coroutines that are connected to
aggregate information in a payload and after that save the payload in a database.



class ExamplePipeline(PipelineBaseClass):
def __init__(self):
PipelineBaseClass.__init__(self)
self.stages = [get_some_info, build_message,n,..,save_to_db]
self.wrapper = self.connect(self.stages)

def connect(self, stages):
def wrapper(*args, **kwargs):
data_out = yield from stages[0](*args, **kwargs)
for stage in stages[1:]:
data_out = yield from stage(data_out)
return data_out
return wrapper

def run(self, data_in):
asyncio.get_event_loop().run_until_complete(self.wrapper(data_in))


The functions for each stage are coroutines suppose something like



@asyncio.coroutine
def get_some_info(payload):
payload = call_an_endpoint
return payload

@asyncio.coroutine
def build_message(payload):
#do some logic
return payload


I have a new requirement in which the build_message co routine in some cases
needs to fork the rest of the pipeline, this is that the rest of the stages
n..save_to_db must be executed x times with different payloads since
build_message.



[get_some_info, build_message -> payload 1 [n, .. , save_to_db]
payload 2 [n, .. , save_to_db]
payload x [n, .. , save_to_db]


So at finish I have x different messages on the db.



How can I implement my new feature in this context?










share|improve this question




























    3















    I'm new with asyncio and I'm implemented some kind of pipeline using asyncio coroutines.
    The main idea is to have different pipelines with coroutines that are connected to
    aggregate information in a payload and after that save the payload in a database.



    class ExamplePipeline(PipelineBaseClass):
    def __init__(self):
    PipelineBaseClass.__init__(self)
    self.stages = [get_some_info, build_message,n,..,save_to_db]
    self.wrapper = self.connect(self.stages)

    def connect(self, stages):
    def wrapper(*args, **kwargs):
    data_out = yield from stages[0](*args, **kwargs)
    for stage in stages[1:]:
    data_out = yield from stage(data_out)
    return data_out
    return wrapper

    def run(self, data_in):
    asyncio.get_event_loop().run_until_complete(self.wrapper(data_in))


    The functions for each stage are coroutines suppose something like



    @asyncio.coroutine
    def get_some_info(payload):
    payload = call_an_endpoint
    return payload

    @asyncio.coroutine
    def build_message(payload):
    #do some logic
    return payload


    I have a new requirement in which the build_message co routine in some cases
    needs to fork the rest of the pipeline, this is that the rest of the stages
    n..save_to_db must be executed x times with different payloads since
    build_message.



    [get_some_info, build_message -> payload 1 [n, .. , save_to_db]
    payload 2 [n, .. , save_to_db]
    payload x [n, .. , save_to_db]


    So at finish I have x different messages on the db.



    How can I implement my new feature in this context?










    share|improve this question


























      3












      3








      3








      I'm new with asyncio and I'm implemented some kind of pipeline using asyncio coroutines.
      The main idea is to have different pipelines with coroutines that are connected to
      aggregate information in a payload and after that save the payload in a database.



      class ExamplePipeline(PipelineBaseClass):
      def __init__(self):
      PipelineBaseClass.__init__(self)
      self.stages = [get_some_info, build_message,n,..,save_to_db]
      self.wrapper = self.connect(self.stages)

      def connect(self, stages):
      def wrapper(*args, **kwargs):
      data_out = yield from stages[0](*args, **kwargs)
      for stage in stages[1:]:
      data_out = yield from stage(data_out)
      return data_out
      return wrapper

      def run(self, data_in):
      asyncio.get_event_loop().run_until_complete(self.wrapper(data_in))


      The functions for each stage are coroutines suppose something like



      @asyncio.coroutine
      def get_some_info(payload):
      payload = call_an_endpoint
      return payload

      @asyncio.coroutine
      def build_message(payload):
      #do some logic
      return payload


      I have a new requirement in which the build_message co routine in some cases
      needs to fork the rest of the pipeline, this is that the rest of the stages
      n..save_to_db must be executed x times with different payloads since
      build_message.



      [get_some_info, build_message -> payload 1 [n, .. , save_to_db]
      payload 2 [n, .. , save_to_db]
      payload x [n, .. , save_to_db]


      So at finish I have x different messages on the db.



      How can I implement my new feature in this context?










      share|improve this question
















      I'm new with asyncio and I'm implemented some kind of pipeline using asyncio coroutines.
      The main idea is to have different pipelines with coroutines that are connected to
      aggregate information in a payload and after that save the payload in a database.



      class ExamplePipeline(PipelineBaseClass):
      def __init__(self):
      PipelineBaseClass.__init__(self)
      self.stages = [get_some_info, build_message,n,..,save_to_db]
      self.wrapper = self.connect(self.stages)

      def connect(self, stages):
      def wrapper(*args, **kwargs):
      data_out = yield from stages[0](*args, **kwargs)
      for stage in stages[1:]:
      data_out = yield from stage(data_out)
      return data_out
      return wrapper

      def run(self, data_in):
      asyncio.get_event_loop().run_until_complete(self.wrapper(data_in))


      The functions for each stage are coroutines suppose something like



      @asyncio.coroutine
      def get_some_info(payload):
      payload = call_an_endpoint
      return payload

      @asyncio.coroutine
      def build_message(payload):
      #do some logic
      return payload


      I have a new requirement in which the build_message co routine in some cases
      needs to fork the rest of the pipeline, this is that the rest of the stages
      n..save_to_db must be executed x times with different payloads since
      build_message.



      [get_some_info, build_message -> payload 1 [n, .. , save_to_db]
      payload 2 [n, .. , save_to_db]
      payload x [n, .. , save_to_db]


      So at finish I have x different messages on the db.



      How can I implement my new feature in this context?







      python-3.x pipeline python-asyncio coroutine






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Mar 7 at 2:25









      dirn

      11.3k33749




      11.3k33749










      asked Mar 6 at 22:10









      Hernan AcostaHernan Acosta

      3829




      3829






















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