Próba z pliku
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@ -1,6 +1,6 @@
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pipeline {
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pipeline {
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agent {
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agent {
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docker { image 'adnovac/ium_s434760:4' }
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docker { image 'adnovac/ium_s434760:4.1' }
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}
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}
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parameters{
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parameters{
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buildSelector(
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buildSelector(
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@ -20,15 +20,14 @@ pipeline {
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steps
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steps
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{
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{
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copyArtifacts(fingerprintArtifacts: true, projectName: 's434788-training/mlflow', selector: buildParameter('WHICH_BUILD'))
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copyArtifacts(fingerprintArtifacts: true, projectName: 's434788-training/mlflow', selector: buildParameter('WHICH_BUILD'))
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sh "echo ${json_input} >> input.json"
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}
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}
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}
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}
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stage('test')
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stage('test')
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{
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{
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steps
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steps
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{
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{
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catchError {
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sh 'python3.8 try_model.py'
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sh 'python3.8 try_model.py'
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}
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}
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}
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}
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}
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stage('archive artifacts') {
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stage('archive artifacts') {
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@ -3,8 +3,13 @@ import pandas as pd
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import json
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import json
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model = mlflow.keras.load_model("my_model")
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model = mlflow.keras.load_model("my_model")
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with open('my_model/input_example.json') as json_file:
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data = None
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data = json.load(json_file)
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try:
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with open('input.json') as json_file:
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data = json.load(json_file)
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except:
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with open('my_model/input_example.json') as json_file:
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data = json.load(json_file)
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with open('result.txt', 'w+', encoding="UTF-8") as f:
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with open('result.txt', 'w+', encoding="UTF-8") as f:
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f.write(str(model.predict([data["inputs"]])))
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f.write(str(model.predict([data["inputs"]])))
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