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version: '3.3'

services:
    db:
        restart: always
        image: mysql/mysql-server:5.7.28
        container_name: mlflow_db
        expose:
            - "3306"
        networks:

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# Define the user that will own and run the Nginx server
user  nginx;
# Define the number of worker processes; recommended value is the number of
# cores that are being used by your server
worker_processes  1;

# Define the location on the file system of the error log, plus the minimum
# severity to log messages for
error_log  /var/log/nginx/error.log warn;
# Define the file that will store the process ID of the main NGINX process

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# Define the parameters for a specific virtual host/server
server {
    # Define the server name, IP address, and/or port of the server
    listen 80;

    # Define the specified charset to the “Content-Type” response header field
    charset utf-8;

    # Configure NGINX to reverse proxy HTTP requests to the upstream server (uWSGI server)
    location / {

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FROM python:3.7-slim-buster
# Install python packages
RUN pip install mlflow boto3 pymysql

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FROM nginx:1.17.6
# Remove default Nginx config
RUN rm /etc/nginx/nginx.conf
# Copy the modified Nginx conf
COPY nginx.conf /etc/nginx
# Copy proxy config
COPY mlflow.conf /etc/nginx/sites-enabled/

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def squares(x):
    # Perform calculus
    y = x**2
    return y
 
 
if __name__ == "__main__":
    print(f"The square of 10 is: {squares(10)}")

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"""
Unit testing of the automatic batch processing application
"""
import unittest
from src.app import squares
 
 
class AppTests(unittest.TestCase):
    def test_app(self):
        """Simple Tests"""

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image: python:3.6-slim

before_script:
  - python -V # Print out python version for debugging

stages:
  - test

test_job:
  stage: test

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version: 0.2

phases:
  install:
    runtime-versions:
      python: 3.8
  pre_build:
    commands:
      - apt-get install -y python3-venv
      - python3.6 -m venv test_venv

gandroz

{
    "name": "Dummy Project Tests",
    "description": "Script for CodeBuild creation",
    "source": {
        "type": "BITBUCKET",
        "location": "https://bitbucket.org/myself/dummy_project.git",
        "gitCloneDepth": 1,
        "auth": {
            "type": "OAUTH",
            "resource": "arn:aws:codebuild:ca-central-1:123456789:token/bitbucket"