Niphlod I will use postgresql in production and your solution as well. Thank you for helping me! ;)
El miércoles, 21 de septiembre de 2016, 2:33:30 (UTC-5), Niphlod escribió: > > 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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