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bigboat-anomaly.r
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# Script to perform anomaly detection on BigBoat status and plot the results.
#
# Copyright 2017-2020 ICTU
# Copyright 2017-2022 Leiden University
# Copyright 2017-2023 Leon Helwerda
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
library(MonetDB.R)
library(DBI)
library(digest)
library(ggplot2)
library(AnomalyDetection)
library(xts)
source('include/database.r')
conn <- connect()
projects <- dbGetQuery(conn, 'SELECT project_id, name FROM gros.project;')
apply(projects, 1, function(row) {
print(row[1])
query <- paste('SELECT name, checked_date, value
FROM gros.bigboat_status
WHERE project_id =', row[1],
"AND name NOT LIKE 'Agent %' AND name <> 'System Uptime'
AND value IS NOT NULL ORDER BY name, checked_date")
statuses <- dbGetQuery(conn, query)
status_data <- split(statuses, statuses['name'])
lapply(names(status_data), function(name) {
data <- status_data[[name]]
if (nrow(data) == 0) {
print('No data')
return()
}
# 1 measurement per 15 minutes (4 per hour), the whole week.
if (nrow(data) < 4*24*7*2) {
print('Too little data')
return()
}
res <- AnomalyDetectionVec(data$value, max_anoms=0.02, direction='pos',
plot=TRUE, period=4*24*7)
print(str(res))
if (!is.null(res$plot)) {
print(res$plot + ggtitle(paste("Anomalies for project", row[2],
"for BigBoat status", name)))
Sys.sleep(1)
}
})
})