how to add a python module to a docker container?

Dockerfile content

FROM python: 3

RUN pip install--upgrade pip && \
   pip install aldryn_apphooks_config

FROM python:3

RUN pip install --upgrade pip && \
    pip install aldryn_apphooks_config

$: docker build - t "web:python".
Sending build context to Docker daemon 3.584 kB
Step 1 / 2: FROM python: 3
   -- - > 59 a8c21b72d4
Step 2 / 2: RUN pip install--upgrade pip && pip install aldryn_apphooks_config
   -- - > Running in e16a679af3d8
   .
   .
   .
   .
Successfully built aldryn - apphooks - config django - treebeard djangocms - admin - style
Installing collected packages: pytz, Django, django - appdata, django - treebeard, django - classy - tags, django - sekizai, djangocms - admin - style, django - formtools, django - cms, aldryn - apphooks - config
Successfully installed Django - 2.1 .8 aldryn - apphooks - config - 0.5 .2 django - appdata - 0.2 .1 django - classy - tags - 0.8 .0 django - cms - 3.6 .0 django - formtools - 2.1 django - sekizai - 0.10 .0 django - treebeard - 4.3 djangocms - admin - style - 1.3 .0 pytz - 2018.9
Removing intermediate container e16a679af3d8
-- - > 78 ecd015d983
Successfully built 78 ecd015d983
Successfully tagged web: python

Start the container and verify the package installion.

$ docker run - it web: python / bin / bash
root @1d1df7416b8a: /# pip freeze
aldryn - apphooks - config == 0.5 .2
Django == 2.1 .8
django - appdata == 0.2 .1
django - classy - tags == 0.8 .0
django - cms == 3.6 .0
django - formtools == 2.1
django - sekizai == 0.10 .0
django - treebeard == 4.3
djangocms - admin - style == 1.3 .0
pytz == 2018.9

you can use a requirements.txt file. To write your module to import and call him in your dockerfile

$ more requirements.txt
paramiko
lxml
pg8000

And in your dockerfile :

ADD. / requirements.txt. /
   RUN python3 - m pip install - r requirements.txt

Suggestion : 2

Check your Docker hub profile and click on your spacy image. You will see a conda and pip tag under tags. pip is much smaller and you likely noticed it was faster to build., Compare Image Sizes Check your Docker hub profile and click on your spacy image. You will see a conda and pip tag under tags. pip is much smaller and you likely noticed it was faster to build. ,Installing Python Packages In Your Docker Container Workshop Video pip (and a Linux package manger) vs anaconda Case Study: Spacy ,Build, tag, and push the image with a name of spacy and a tag of conda; docker build -t dockerhub_username/spacy:conda . docker push dockerhub_username/spacy:conda

from spacy.lang.en
import English

# Create the nlp object
nlp = English()

# Created by processing a string of text with the nlp object
doc = nlp("Hello world!")

# Iterate over tokens in a Doc
for token in doc:
   print(token.text)

# Python has an official image.Alpine and slim are the small versions
FROM python: 3.7 .7 - slim - stretch
#Installation directions found at https: //spacy.io/usage --no-cache-dir allows one to save space in the final image
   RUN pip install--no - cache - dir - U spacy
# Copies script.py file in my current directory to root in the container
COPY script.py /

docker build - t dockerhub_username / spacy: pip.
docker push dockerhub_username / spacy: pip

# Conda has an official base image.miniconda3 is the smaller python3 based on Debian stretch
FROM conda / miniconda3
RUN conda install - c conda - forge spacy
COPY script.py /

docker build - t dockerhub_username / spacy: conda.
docker push dockerhub_username / spacy: conda

bsub - G group_name - Is - q general - interactive - a 'docker(docker_hub_username/spacy:pip)'
python3 / script.py
bsub - G group_name - Is - q general - interactive - a 'docker(docker_hub_username/spacy:conda)'
python3 / script.py

Suggestion : 3

To enable docker BuildKit by default, set daemon configuration in /etc/docker/daemon.json feature to true and restart the daemon. If the daemon.json file doesn’t exist, create new file called daemon.json and then add the following to the file.,Next, we need to add a line in our Dockerfile that tells Docker what base image we would like to use for our application.,We recommend using docker/dockerfile:1, which always points to the latest release of the version 1 syntax. BuildKit automatically checks for updates of the syntax before building, making sure you are using the most current version.,To set the BuildKit environment variable when running the docker build command, run:

$ DOCKER_BUILDKIT = 1 docker build.

{
   "features": {
      "buildkit": true
   }
}

$ cd / path / to / python - docker
$ pip3 install Flask
$ pip3 freeze | grep Flask >> requirements.txt
$ touch app.py

from flask
import Flask
app = Flask(__name__)

@app.route('/')
def hello_world():
   return 'Hello, Docker!'

$ python3 - m flask run

127.0 .0 .1 - -[22 / Sep / 2020 11: 07: 41]
"GET / HTTP/1.1"
200 -

Suggestion : 4

As an alternative , we can login to the Docker container and then directly install the package . For doing this , we have to go to the container console environment and execute the install commands therein.,This will open the container console and then you can execute the install command like a regular terminal console –,In this post, we will see How To Install Python Packages in a Docker Container. When any Python packages is not correctly installed or not reachable from Docker , we are unable to import the packages and see the below error –,Now let’s see the different ways that we can install a Python package in a Docker container.

In this post, we will see How To Install Python Packages in a Docker Container. When any Python packages is not correctly installed or not reachable from Docker , we are unable to import the packages and see the below error –

ImportError: No module named '<PACKAGE_NAME>'

FROM docker - dev.artifactory.company.com / centos: 7.3 .1611

   **
   ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** *
   Existing commands in the Dockerfile **
   ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** ** *

   RUN yum install - y krb5 - devel
RUN yum install - y python - devel
RUN yum install - y krb5 - workstation
RUN yum install - y python - setuptools
RUN yum install - y python - pip

This will open the container console and then you can execute the install command like a regular terminal console –

pip install numpy

Suggestion : 5

Open the project folder in VS Code., Open the project folder in VS Code. , VS Code for the Web ,Add Docker files to the project

To use Gunicorn, it must bind to an application callable (what the application server uses to communicate with your code) as an entry point. This callable is declared in the wsgi.py file of a Django application. To accomplish this binding, the final line in the Dockerfile says:

CMD["gunicorn", "--bind", "0.0.0.0:8000", "{workspace_folder_name}.wsgi"]

To use Gunicorn, it must bind to an application callable (what the application server uses to communicate with your code) as an entry point. This callable corresponds with the file location and variable name of your created Flask instance. According to official Flask Documentation, users generally create a Flask instance in the main module or in the __init__.py file of their package in this manner:

from flask
import Flask
app = Flask(__name__) # Flask instance named app

To accomplish this binding, the final line in the Dockerfile says:

CMD["gunicorn", "--bind", "0.0.0.0:5000", "{subfolder}.{module_file}:app"]

Suggestion : 6

Install python pip Python 2: # subscription-manager repos --enable rhel-server-rhscl-7-rpms # yum install python27-python-pip -y # scl enable python27 bash # pip install --upgrade pip Python 3: # subscription-manager repos --enable rhel-server-rhscl-7-rpms # yum -y install rh-python36 # scl enable rh-python36 bash # pip3 install --upgrade pip ,Install Docker Compose Run the install command: Python 2: # pip install docker-compose Python 3: # pip3 install docker-compose Test that it worked: # docker-compose version docker-compose version 1.23.2, build 1110ad0 docker-py version: 3.7.0 CPython version: 2.7.13 OpenSSL version: OpenSSL 1.0.1e-fips 11 Feb 2013 ,For x86_64: Install the required packages and set up the repository: # yum install -y yum-utils \ device-mapper-persistent-data \ lvm2 # yum-config-manager \ --add-repo \ https://download.docker.com/linux/centos/docker-ce.repo Install the Docker package: # yum install docker-ce docker-ce-cli containerd.io ,All components, aside from the SSE running on Windows, run on Linux in a Docker container. For these container components, Docker components must be installed and running on each server prior to continuing with the Video Analytics component installations.

Python 2:

     # subscription - manager repos--enable rhel - server - rhscl - 7 - rpms
     # yum install python27 - python - pip - y
     # scl enable python27 bash
     # pip install--upgrade pip

Python 3:

     # subscription - manager repos--enable rhel - server - rhscl - 7 - rpms
     # yum - y install rh - python36
     # scl enable rh - python36 bash
     # pip3 install--upgrade pip

Install the required packages and set up the repository:

     # yum install - y yum - utils\
     device - mapper - persistent - data\
     lvm2
     # yum - config - manager\
        --add - repo\
     https: //download.docker.com/linux/centos/docker-ce.repo

Install the Docker package:

     # yum install docker - ce docker - ce - cli containerd.io

Install the Docker repository.

Type the following, hitting enter after each line or simply copy the contents starting with [docker] into /etc/yum.repos.d/docker.repo:

     # cat > /etc/yum.repos.d / docker.repo << EOF[docker]
     name = Docker
     baseurl = http: //ftp.unicamp.br/pub/ppc64el/rhel/7/docker-ppc64el/        enabled=1
        gpgcheck = 0
     EOF

Install the Docker package:

     # yum install docker - ce

Start Docker:

     # systemctl start docker

Test that the Docker CE installation was successful:

     # docker run--rm hello - world

You should see output similar to the following:

     Unable to find image 'hello-world:latest'
     locally latest: Pulling from library / hello - world
     1 b930d010525: Pull complete
     Digest: sha256: 2557e3 c07ed1e38f26e389462d03ed943586f744621577a99efb77324b0fe535
     Status: Downloaded newer image
     for hello - world: latest Hello from Docker!
        Video Analytics message shows that your installation appears to be working correctly.
     To generate Video Analytics message, Docker took the following steps:
        1. The Docker client contacted the Docker daemon.
     2. The Docker daemon pulled the "hello-world"
     image from the Docker Hub.(amd64)
     3. The Docker daemon created a new container from that image which runs the executable that produces the output you are currently reading.
     4. The Docker daemon streamed that output to the Docker client, which sent it to your terminal.
     To
     try something more ambitious, you can run an Ubuntu container with:
        $ docker run - it ubuntu bash
     Share images, automate workflows, and more with a free Docker ID:
        https: //hub.docker.com/
        For more examples and ideas, visit:
        https: //docs.docker.com/get-started/

Python 2:

     # pip install docker - compose

Python 3:

     # pip3 install docker - compose

Test that it worked:

     # docker - compose version
     docker - compose version 1.23 .2, build 1110 ad0
     docker - py version: 3.7 .0
     CPython version: 2.7 .13
     OpenSSL version: OpenSSL 1.0 .1 e - fips 11 Feb 2013

Suggestion : 7

A Python library for the Docker Engine API. It lets you do anything the docker command does, but from within Python apps – run containers, manage containers, manage Swarms, etc.,A Python library for the Docker Engine API,To talk to a Docker daemon, you first need to instantiate a client. You can use from_env() to connect using the default socket or the configuration in your environment:,The latest stable version is available on PyPI. Either add docker to your requirements.txt file or install with pip:

pip install docker

import docker
client = docker.from_env()

>>> client.containers.run("ubuntu", "echo hello world")
'hello world\n'

>>> client.containers.run("bfirsh/reticulate-splines", detach=True)
<Container '45e6d2de7c54'>

>>> client.containers.list()
[<Container '45e6d2de7c54'>, <Container 'db18e4f20eaa'>, ...]

      >>> container = client.containers.get('45e6d2de7c54')

      >>> container.attrs['Config']['Image']
      "bfirsh/reticulate-splines"

      >>> container.logs()
      "Reticulating spline 1...\n"

      >>> container.stop()

>>>
for line in container.logs(stream = True):
   ...print(line.strip())
Reticulating spline 2...
Reticulating spline 3...
   ...