Farid Ahmadian / DevOps

Gitlab-CI

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NodeJS .gitlab-ci.yml

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image: node:latest


before_script:
  - apt-get update
  - apt-get --yes --force-yes install ssh rsync

cache:
  key: ${CI_COMMIT_REF_SLUG}
  paths:
  - my_modules/

stages:
  - build
  - production

job_build:
  stage: build
  tags:
    - docker
  script:
   - npm install
   - npm run updateDependencies
   - cd ./my_modules/
   - npm run build 
   - pwd
   - ls

job_production:
  stage: production
  tags:
    - docker
  when: on_success
  script:
   - pwd
   - ls
   - cp .htpasswd ./my_modules/dist/
   - cd ./my_modules/
   - ls dist
   - mkdir "${HOME}/.ssh"
   - echo "${SSH_KNOWN_HOSTS}" > "${HOME}/.ssh/known_hosts"
   - echo "${SSH_PRIVATE_KEY}" > "${HOME}/.ssh/id_rsa"
   - ls -al "${HOME}/.ssh/"
   - chmod 700 "${HOME}/.ssh/id_rsa"
   - rsync -hrvz --delete -e "ssh -p 2222 -i ${HOME}/.ssh/id_rsa" dist/ [email protected]:/home/devops/www/js

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Tensorflow and Python3 Dockerfile

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FROM  tensorflow/tensorflow:1.12.0-gpu
MAINTAINER Farid Ahmadian <[email protected]>
RUN apt-get update && \
    DEBIAN_FRONTEND=noninteractive apt-get install -y \
        python3-pip \
        libsm6 \
        libxext6 \
        libxrender-dev \
    && rm -r /var/lib/apt/lists/*

RUN mkdir /app
COPY setup.py /app
RUN cd /app && \
 python3 -m pip install --upgrade pip
RUN cd /app && \
 python3 -m pip install .
RUN cd /app && \
 python3 -m pip install .[testing]
RUN cd /app && \
 python3 -m pip install .[build_tools]

# Goto temporary directory.
WORKDIR /app

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Tensorflow and Python3 .gitlab-ci.yml

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stages:
 - build
 - test

job_build:
  stage: build
  tags:
    - ssh
  script:
    # https://docs.gitlab.com/ce/user/project/container_registry.html#build-and-push-images
     - ls
     - nvidia-docker login -u gitlab-ci-token -p $CI_BUILD_TOKEN registry.pathseeker.ir
     - nvidia-docker build -t registry.pathseeker.ir/python-app:latest -f .docker/Dockerfile .
     - nvidia-docker push registry.pathseeker.ir/python-app:latest

job_test:
  stage: test
  tags:
    - ssh
  script:
     - nvidia-docker login -u gitlab-ci-token -p $CI_BUILD_TOKEN registry.pathseeker.ir
     - nvidia-docker pull registry.pathseeker.ir/python-app:latest
     - nvidia-docker run -d --name "tensorflow-app" registry.pathseeker.ir/python-app:latest
     - nvidia-docker exec tensorflow-app ./test-runner.sh
     - nvidia-docker exec tensorflow-app ls -alt
  after_script:
     - nvidia-docker stop "tensorflow-app"
     - nvidia-docker rm "tensorflow-app"
     - nvidia-docker system prune -a -f

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Tensorflow and Python3 test-runner.sh

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#!/usr/bin/env bash
pytest --junitxml=pytest_report.xml
pylint src --rcfile=pylint.cfg || pylint-exit $?

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BY: Farid Ahmadian
TAG: nvidia, git, gitlab-CI, python, Dockerfile, docker
DATE: 2019-06-11 10:36:53

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Farid Ahmadian / DevOps [ TXT ]

With many thanks and best wishes for dear Pejman Moghadam, someone who taught me alot in linux and life :)