pypushflow.persistence.mongita.MemoryWorkflowDbClient#

class pypushflow.persistence.mongita.MemoryWorkflowDbClient[source]#

Bases: MongoWorkflowDbClient

Client of an in-memory Mongo database for storing workflow executions. Used for testing purposes.

classmethod apply_actorinfo_filters(info)#
Parameters:

info (dict)

Return type:

dict

connect()[source]#
disconnect()[source]#
endActor(actorId, status='finished')#
Return type:

None

endWorkflow(status='finished')#
Return type:

None

ensureEndWorkflow()#
Return type:

None

generateActorId()[source]#
Return type:

ObjectId

generateWorkflowId()[source]#
Return type:

ObjectId

getActorInfo(actorId)#
Return type:

None

getWorkflowInfo()#
Return type:

Optional[dict]

classmethod get_dbclient_class(name)#
classmethod register_actorinfo_filter(method)#
Parameters:

method (Callable[[dict], dict])

setActorStatus(actorId, status)#
Parameters:

status (str)

Return type:

None

setWorkflowStatus(status)#
Parameters:

status (str)

Return type:

None

startActor(name, info=None)#
Parameters:
  • name (str)

  • info (Optional[str])

startWorkflow(name)#
Parameters:

name (str)

updateActorInfo(actorId, info)#
Parameters:

info (dict)

Return type:

None

updateWorkflowInfo(info)#
Parameters:

info (dict)

Return type:

None