that error is due - mostly - when the backend is too much pressured (i.e. you're using sqlite, or too many workers, or a too low heatbeat)
this is the fix https://github.com/web2py/web2py/pull/1453 . you can subscribe to it to know when it'll be merged. On Tuesday, September 20, 2016 at 5:38:08 PM UTC+2, Bernardo Leon wrote: > > Thank you for your reply. Can you reply this thread when the fix is > published? > > I don't know if this is related to the same bug but in my worker process > terminal I have this message: > > ERROR:web2py.scheduler.cedia-Satellite-L55-C#18606: error popping tasks > > why do I have this error? Thanks. > > El lunes, 19 de septiembre de 2016, 13:37:05 (UTC-5), Niphlod escribió: >> >> sorry, a bug slipped in. In the wait for the fix, please use >> next_run_time in addition to start_time. >> >> On Monday, September 19, 2016 at 6:27:28 PM UTC+2, Bernardo Leon wrote: >>> >>> Hi, I am trying to run tasks in the future based on a time the user >>> specifies but as soon as the task is queued it is executed, what am I doing >>> wrong? >>> >>> I am using web2py Version 2.14.6-stable+timestamp.2016.05.10.00.21.47 >>> >>> This is my model.db (part of it) >>> >>> db = DAL('sqlite://recomendadorexpertos.db') >>> >>> db.define_table('topicos', >>> Field('curso', 'reference cursos'), >>> Field('nombre', 'string', required=True, length=512), >>> Field('palabras_clave', 'text', readable=False, >>> required=True, length=2048), >>> Field('fecha_inicio_identificacion', 'date', >>> required=True, comment=T('Indica la fecha desde la cual se empezará a >>> buscar expertos.')), >>> Field('fecha_fin_identificacion', 'date', required=True, >>> comment=T('Indica la fehca en la cual se publicarán las recomendaciónes de >>> expertos.')), >>> Field('fecha_fin_publicacion', 'date', comment=T('Indica >>> la fecha hasta cuando se publicaran las recomendaciones de expertos >>> (opcional)')), >>> Field('timestamp_get_tweets_etiquetado', 'datetime', >>> readable=False, writable=False), #Para mostrar al usuario desde cuando se >>> estan descargando tweets para etiquetado. >>> Field('link_descarga_tweets_etiquetado', 'string', >>> readable=False, writable=False, length=2048), >>> Field('upload_archivo_etiquetado', 'upload', >>> length=524288, >>> uploadfolder='/var/www/web2py/applications/RecomendadorExpertos/archivos_etiquetados/', >>> >>> autodelete=True, comment=T('Primero inicie el proceso de descarga de tweets >>> para este topico, descargue el archivo para etiquetado, etiquetelo y subalo >>> aqui.'), label=T('Subir archivo etiquetado'), readable=False), #Cambiar el >>> nombre del archivo que suba a [nombre_topico].csv >>> Field('path_modelo', 'string', readable=False, >>> writable=False, length=2048), #Ruta del modelo entrenado >>> Field('topico_configurado_completamente', 'integer', >>> readable=True, writable=False, default=1, >>> represent=representTopicoConfigurado), #Sirve para mostrar un check alado >>> del archivo subido una vez terminado de generarse el modelo, para que el >>> profesor sepa que ya esta todo bien. >>> Field('id_scheduler_task_descarga_tweets', 'integer', >>> readable=False, writable=False), >>> Field('id_scheduler_task_identificacion_expertos', >>> 'integer', readable=False, writable=False), >>> Field('id_scheduler_task_publicacion_expertos', >>> 'integer', readable=False, writable=False)) >>> >>> >>> This is my Scheduler.py >>> >>> def task_iniciar_descarga_tweets(row): >>> return 'descarga de tweets terminada' >>> >>> def task_iniciar_identificacion_expertos(nombre_topico): >>> return 'identificacion de expertos terminada' >>> >>> def task_publicar_expertos(nombre_topico): >>> return 'publicacion de expertos terminada' >>> >>> dbScheduler = DAL('sqlite://scheduler.db') >>> scheduler = Scheduler(dbScheduler, >>> tasks={'task_iniciar_descarga_tweets':task_iniciar_descarga_tweets, >>> >>> 'task_iniciar_identificacion_expertos':task_iniciar_identificacion_expertos, >>> >>> 'task_publicar_expertos':task_publicar_expertos}) >>> >>> >>> And this is my default.py controller (part of it) >>> >>> @auth.requires_login() >>> def onCreateTopico(form): >>> row_task_iniciar_identificacion = >>> scheduler.queue_task('task_iniciar_identificacion_expertos', >>> pvars={'nombre_topico':form.vars.nombre}, >>> start_time=datetime.datetime.combine(form.vars.fecha_inicio_identificacion, >>> datetime.time.min), >>> stop_time=datetime.datetime.combine(form.vars.fecha_fin_identificacion, >>> datetime.time.min), retry_failed=3) >>> >>> row_task_iniciar_publicacion = >>> scheduler.queue_task('task_publicar_expertos', >>> pvars={'nombre_topico':form.vars.nombre}, >>> start_time=datetime.datetime.combine(form.vars.fecha_fin_identificacion, >>> datetime.time.min), retry_failed=3) >>> >>> db(db.topicos.id==form.vars.id >>> ).update(id_scheduler_task_identificacion_expertos= >>> row_task_iniciar_identificacion.id, >>> id_scheduler_task_publicacion_expertos=row_task_iniciar_publicacion.id) >>> db.commit() >>> >>> For instance, if I queue the task "task_iniciar_identificacion_expertos" >>> with a future start_time the worker executes this task inmediately, how can >>> I set the worker to execute this task in the future? >>> >>> Thank you! >>> >> -- Resources: - http://web2py.com - http://web2py.com/book (Documentation) - http://github.com/web2py/web2py (Source code) - https://code.google.com/p/web2py/issues/list (Report Issues) --- You received this message because you are subscribed to the Google Groups "web2py-users" group. 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