[Note] How to set a dockerfile for conda env?

Intro

This repo is a practice to construct a docker container to run conda env. Use differnet base image python & miniconda to build the service. The test function is about separating the audio with spleeter.

Ref

• [Must Read]Activating a Conda environment in your Dockerfile https://pythonspeed.com/articles/activate-conda-dockerfile/

• How to Install miniconda on linux (from the command line only) https://waylonwalker.com/install-miniconda/

Material

• 12345.mp3 : waited for separation
• requirements.txt: spleeter version
• test.py: script to operate sound separation

python.dockerfile

A dockerfile bases on python3.7 and installs the miniconda. Activate the conda env to run the test.py to use spleeter's audio separation.

Build the image

$docker build -f python.dockerfile -t conda_env_basedon_python .

Up the cotainer

$sudo docker run -it --name test_construct conda_env_basedon_python /bin/bash

if you want to rm the container after exit the container

sudo docker run --rm -it --name test_construct conda_env_basedon_python /bin/bash

miniconda.dockerfile

A dockerfile bases on miniconda image.

Build the image

$ docker build -f miniconda.dockerfile -t conda_env_basedon_mini .

Up the cotainer

$ sudo docker run -it --name test_construct_mini conda_env_basedon_mini /bin/bash

if you want to rm the container after exit the container

$ sudo docker run --rm -it --name test_cotest_construct_mini conda_env_basedon_mini /bin/bash

fastapi.dockerfile

This docker file is for test the fastapi service using.

Build the image

$ docker build -f fastapi.dockerfile -t test_fastapi_image .

Up the cotainer

$ sudo docker run -it --name test_fastapi_container test_fastapi_image /bin/bash

if you want to rm the container after exit the container

$ sudo docker run --rm -it --name test_fastapi_container test_fastapi_image /bin/bash

Other

• Clean the builder cache of docker

$ docker builder prune 

• Look the resource used at a container

$ sudo docker top 69cba92b5a44

• Remove build cache

$ sudo docker builder prune

• Monitor the resource that used by the container

$ sudo docker stats docker_container