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timeseries-prediction-parking.yaml
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timeseries-prediction-parking.yaml
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apiVersion: argoproj.io/v1alpha1
#kind: Workflow
kind: CronWorkflow
metadata:
generateName: timeseries-prediction-parking-
namespace: argo
labels:
workflows.argoproj.io/archive-strategy: "always"
annotations:
workflows.argoproj.io/description: |
Fetching data from influx, predicting, storing it back to influx
spec:
schedule: "0 */12 * * *"
concurrencyPolicy: "Replace"
startingDeadlineSeconds: 0
successfulJobsHistoryLimit: 1
failedJobsHistoryLimit: 3
workflowSpec:
entrypoint: parking-prediction
volumeClaimGC:
strategy: OnWorkflowCompletion
volumeClaimTemplates: # define volume, same syntax as k8s Pod spec
- metadata:
name: timeseries-prediction-workdir # name of volume claim
spec:
accessModes: [ "ReadWriteOnce" ]
storageClassName: "longhorn"
resources:
requests:
storage: 100Mi
templates:
- name: parking-prediction
steps:
- - name: extract-csv-from-influx
template: curl-query
arguments:
parameters:
- name: cmd
value: >-
curl -G 'http://192.168.117.5:8086/query'
--data-urlencode "db=parking"
--data-urlencode "q=SELECT mean(spaces) as value FROM \"parkingplace\" WHERE (\"name\" = 'P+R Noord' AND \"spaces\" != 0 ) group by time(10m) order by time desc limit 4038"
-H "Accept: application/csv" > /volume/parkingplace.csv
- - name: transform-darts-forecast
template: darts-timeseries-forecaster
- - name: load-predictions-into-influx
template: curl-query
arguments:
parameters:
- name: cmd
value: >-
curl -i -XPOST 'http://192.168.117.5:8086/write?db=parking' --data-binary @/volume/prediction.txt
- name: curl-query
inputs:
parameters:
- name: cmd
nodeSelector:
beta.kubernetes.io/arch: arm64
node-role.kubernetes.io/worker: worker
container:
image: curlimages/curl:latest
command: ["/bin/sh", "-c"]
securityContext:
runAsUser: 0
args: ["{{inputs.parameters.cmd}}"]
# resources:
# requests:
# memory: 32Mi
# cpu: 100m
volumeMounts: # same syntax as k8s Pod spec
- name: timeseries-prediction-workdir
mountPath: /volume
- name: darts-timeseries-forecaster
nodeSelector:
beta.kubernetes.io/arch: arm64
node-role.kubernetes.io/worker: worker
container:
image: peterpeerdeman/darts-timeseries-forecaster:latest
command: ["python", "app.py"]
env:
- name: INPUT_FREQUENCY
value: 10min
- name: INPUT_FILENAME
value: /volume/parkingplace.csv
- name: INPUT_TIMECOL
value: time
- name: INPUT_VALUECOL
value: value
- name: INPUT_MOVINGAVERAGE
value: '30'
- name: PREDICTION_SPLIT
value: '0.75'
- name: OUTPUT_FORMAT
value: influx
- name: OUTPUT_FILENAME
value: /volume/prediction.txt
securityContext:
runAsUser: 0
#resources:
#requests:
# memory: 32Mi
# cpu: 100m
volumeMounts: # same syntax as k8s Pod spec
- name: timeseries-prediction-workdir
mountPath: /volume