update jenkinsfile and dockerfile
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f2c6fcdf0b
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8ee15ee101
18
Dockerfile
18
Dockerfile
@ -9,20 +9,22 @@ RUN pip3 install pandas
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RUN pip3 install matplotlib
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RUN pip3 install sklearn
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RUN apt-get install unzip
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RUN mkdir root/.kaggle
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RUN touch root/.kaggle/kaggle.json
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RUN echo "{\"username\":\"maciejczajka\",\"key\":\"d8f044ad2b96d32372e22f9054c02bb1\"}" >> root/.kaggle/kaggle.json
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RUN chmod 666 root/.kaggle
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RUN chmod 666 root/.kaggle/kaggle.json
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#RUN mkdir root/.kaggle
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#RUN touch root/.kaggle/kaggle.json
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#RUN echo "{\"username\":\"maciejczajka\",\"key\":\"d8f044ad2b96d32372e22f9054c02bb1\"}" >> root/.kaggle/kaggle.json
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#RUN chmod 666 root/.kaggle
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#RUN chmod 666 root/.kaggle/kaggle.json
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ENV KAGGLE_USERNAME=maciejczajka
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ENV KAGGLE_KEY=d8f044ad2b96d32372e22f9054c02bb1
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ENV CUTOFF=1000
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WORKDIR /app
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ENV CUTOFF=1000
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COPY download.sh .
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COPY Zajecia_2/main.py .
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RUN ls -al /root/.kaggle/kaggle.json
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#RUN ls -al /root/.kaggle/kaggle.json
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RUN whoami
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#RUN ./download.sh
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#CMD ["python3", "./main.py"]
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@ -34,15 +34,7 @@ pipeline {
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stage('Script'){
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steps {
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script {
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withEnv(["KAGGLE_USERNAME=${params.KAGGLE_USERNAME}",
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"KAGGLE_KEY=${params.KAGGLE_KEY}" ]) {
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sh 'echo KAGGLE_USERNAME: $KAGGLE_USERNAME'
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sh 'kaggle datasets list'
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}
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}
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sh './download.sh $CUTOFF'
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archiveArtifacts artifacts: 'all_games.csv.dev, all_games.csv.test, all_games.csv.train', followSymlinks: false
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}
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}
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}
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