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!
>>
>

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