Building the data into separate facilities

The data consists in many facilities, that will be monitored. The data used to update the monitoring algorithms for each facility depends on the supervision trail that has been triggered. In order to efficiently keep track of each facility and of its trail, we transform the collected in a list of facilities objects with specific information stored, related to facilities.

class monitoring_algorithms.facility_monitoring.facility(data, tarifs)

A Facility currently under monitoring is followed in time. Its data is updated as time advances, independtly for each algorithm.

Parameters:

data : the data for a given facility

tarifs : A list of tarifs for the RBF program

Attributes

facility_id	(str) The facilities’ unique identifier
facility_name	(str) The current name of the facility
facility_type	(str) The administrative type for the facility
division	(str) The division in which the facility list_facilities_name
departement	(str) The departement in which the facility lies
reports	(list) The data from the reports sent by the facility
last_supervision	(date) The date of the last supervision made in the facility
supervisions	(DataFrame) A table of the supervisions made in the facility for each algorithm used

Methods

arima_report_payment
make_reports
make_supervision_trail
plot_supervision_trail