add named volumes instead of mapped local directory

use fixed minio stable version (minio team separated console and api …

README.md

@@ -4,6 +4,8 @@ If you want to boot up mlflow project with one-liner - this repo is for you.
 
 The only requirement is docker installed on your system and we are going to use Bash on linux/windows.
 
+[![Youtube tutorial](https://img.youtube.com/vi/ma5lA19IJRA/0.jpg)](https://www.youtube.com/watch?v=ma5lA19IJRA)
+
 # Features
  - Setup by one file (.env)
  - Production-ready docker volumes
@@ -24,7 +26,14 @@ Creating tracker_mlflow ... done
 Creating aws-s3         ... done
 ```
 
-3. Create mlflow bucket. You can do it **either using AWS CLI or Python Api**. **You dont need an AWS subscription**
+3. Create mlflow bucket. You can use my bundled script.
+
+Just run 
+```shell 
+bash ./run_create_bucket.sh
+```
+
+You can also do it **either using AWS CLI or Python Api**.
 <details><summary>AWS CLI</summary>
 
 1. [Install AWS cli](https://aws.amazon.com/cli/) **Yes, i know that you dont have an Amazon Web Services Subscription - dont worry! It wont be needed!**

create_bucket.py

@@ -0,0 +1,38 @@
+import os
+
+from minio import Minio
+from minio.error import InvalidResponseError
+
+accessID = os.environ.get('AWS_ACCESS_KEY_ID')
+accessSecret =  os.environ.get('AWS_SECRET_ACCESS_KEY')
+minioUrl =  os.environ.get('MLFLOW_S3_ENDPOINT_URL')
+bucketName =  os.environ.get('AWS_BUCKET_NAME')
+
+if accessID == None:
+    print('[!] AWS_ACCESS_KEY_ID environemnt variable is empty! run \'source .env\' to load it from the .env file')
+    exit(1)
+
+if accessSecret == None:
+    print('[!] AWS_SECRET_ACCESS_KEY environemnt variable is empty! run \'source .env\' to load it from the .env file')
+    exit(1)
+
+if minioUrl == None:
+    print('[!] MLFLOW_S3_ENDPOINT_URL environemnt variable is empty! run \'source .env\' to load it from the .env file')
+    exit(1)
+
+    
+if bucketName == None:
+    print('[!] AWS_BUCKET_NAME environemnt variable is empty! run \'source .env\' to load it from the .env file')
+    exit(1)
+
+minioUrlHostWithPort = minioUrl.split('//')[1]
+print('[*] minio url: ',minioUrlHostWithPort)
+
+s3Client = Minio(
+    minioUrlHostWithPort,
+    access_key=accessID,
+    secret_key=accessSecret,
+    secure=False
+)
+
+s3Client.make_bucket(bucketName)

docker-compose.yml

@@ -1,50 +1,58 @@
-version: '3.2'
+version: "3.9"
 services:
   s3:
-    image: minio/minio:latest
+    image: minio/minio:RELEASE.2021-08-25T00-41-18Z.hotfix.55efceab5
+    restart: unless-stopped
     container_name: aws-s3
     ports:
-      - 9000:9000
+      - "9000:9000"
+      - "9001:9001"
     environment:
-      - MINIO_ACCESS_KEY=${AWS_ACCESS_KEY_ID}
-      - MINIO_SECRET_KEY=${AWS_SECRET_ACCESS_KEY}
-    command: 
-      server /date
+      - MINIO_ROOT_USER=${AWS_ACCESS_KEY_ID}
+      - MINIO_ROOT_PASSWORD=${AWS_SECRET_ACCESS_KEY}
+    command: server /data --console-address ":9001"
     networks:
-      - A
+      - internal
+      - public
     volumes:
-      - ./s3:/date
+      - minio_volume:/data
   db:
-      restart: always
-      image: mysql/mysql-server:5.7.28
-      container_name: mlflow_db
-      expose:
-          - "3306"
-      environment:
-          - MYSQL_DATABASE=${MYSQL_DATABASE}
-          - MYSQL_USER=${MYSQL_USER}
-          - MYSQL_PASSWORD=${MYSQL_PASSWORD}
-          - MYSQL_ROOT_PASSWORD=${MYSQL_ROOT_PASSWORD}
-      volumes:
-          - ./dbdata:/var/lib/mysql
-      networks:
-            - A
+    image: mysql/mysql-server:5.7.28
+    restart: unless-stopped
+    container_name: mlflow_db
+    expose:
+      - "3306"
+    environment:
+      - MYSQL_DATABASE=${MYSQL_DATABASE}
+      - MYSQL_USER=${MYSQL_USER}
+      - MYSQL_PASSWORD=${MYSQL_PASSWORD}
+      - MYSQL_ROOT_PASSWORD=${MYSQL_ROOT_PASSWORD}
+    volumes:
+      - db_volume:/var/lib/mysql
+    networks:
+      - internal
   mlflow:
-      container_name: tracker_mlflow
-      image: tracker_ml
-      build:
-          context: ./mlflow
-          dockerfile: Dockerfile
-      ports:
-          - "5000:5000"
-      environment: 
-          - AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID}
-          - AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY}
-          - AWS_DEFAULT_REGION=${AWS_REGION}
-          - MLFLOW_S3_ENDPOINT_URL=http://s3:9000
-      networks:
-          - A
-      entrypoint: ./wait-for-it.sh db:3306 -t 90 -- mlflow server --backend-store-uri mysql+pymysql://${MYSQL_USER}:${MYSQL_PASSWORD}@db:3306/${MYSQL_DATABASE} --default-artifact-root s3://${AWS_BUCKET_NAME}/ -h 0.0.0.0
+    container_name: tracker_mlflow
+    image: tracker_ml
+    restart: unless-stopped
+    build:
+      context: ./mlflow
+      dockerfile: Dockerfile
+    ports:
+      - "5000:5000"
+    environment:
+      - AWS_ACCESS_KEY_ID=${AWS_ACCESS_KEY_ID}
+      - AWS_SECRET_ACCESS_KEY=${AWS_SECRET_ACCESS_KEY}
+      - AWS_DEFAULT_REGION=${AWS_REGION}
+      - MLFLOW_S3_ENDPOINT_URL=http://s3:9000
+    networks:
+      - public
+      - internal
+    entrypoint: ./wait-for-it.sh db:3306 -t 90 -- mlflow server --backend-store-uri mysql+pymysql://${MYSQL_USER}:${MYSQL_PASSWORD}@db:3306/${MYSQL_DATABASE} --default-artifact-root s3://${AWS_BUCKET_NAME}/ -h 0.0.0.0
 networks:
-    A:
-        driver: bridge
+  internal:
+  public:
+    driver: bridge
+volumes:
+  db_volume:
+  minio_volume:

run_create_bucket.sh

@@ -0,0 +1,6 @@
+#!/bin/bash
+
+set -o allexport; source .env; set +o allexport
+
+pip3 install Minio
+python3 ./create_bucket.py