Docker pass command-line arguments - python

I really just want to pass an argument via docker run
My Dockerfile:
FROM python:3
# set a directory for the app
WORKDIR /usr/src/app
# copy all the files to the container
COPY . .
# install dependencies
RUN pip install --no-cache-dir -r requirements.txt
# tell the port number the container should expose
EXPOSE 5000
# run the command
CMD ["python", "./app.py"]
My python file:
import sys
print(sys.argv)
I tried:
docker run myimage foo
I got an error:
flask-app git:(master) ✗ docker run myimage foo
docker: Error response from daemon: OCI runtime create failed: container_linux.go:346: starting container process caused "exec: \"foo\": executable file not found in $PATH": unknown.
ERRO[0000] error waiting for container: context canceled

When you write foo at the end of your docker run command then you overwrite whole command. Therefore instead of
python app.py
you call
foo
Proper way of calling your script with arguments is:
docker run myimage python app.py foo
Alternatively you may use ENTRYPOINT instead of CMD and then your docker run command may contain just foo after image name
Dockerfile:
FROM python:3
# set a directory for the app
WORKDIR /usr/src/app
# copy all the files to the container
COPY app.py .
# run the command
ENTRYPOINT ["python", "./app.py"]
calling it:
docker run myimage foo

Related

Run docker image with json file as variable

I have the following docker image
FROM python:3.8-slim
WORKDIR /app
# copy the dependencies file to the working directory
COPY requirements.txt .
COPY model-segmentation-512.h5 .
COPY run.py .
# TODO add python dependencies
# install pip deps
RUN apt update
RUN pip install --no-cache-dir -r requirements.txt
RUN mkdir /app/input
RUN mkdir /app/output
# copy the content of the local src directory to the working directory
#COPY src/ .
# command to run on container start
ENTRYPOINT [ "python", "run.py"]
and then I would like to run my image using the following command where json_file is a file I can update on my machine whenever I want that will be read by run.py to import all the required parameters for the python script.:
docker run -v /local/input:/app/input -v /local/output:/app/output/ -t docker_image python3 run.py model-segmentation-512.h5 json_file.json
However when I do this I get a FileNotFoundError: [Errno 2] No such file or directory: 'path/json_file.json' so I think I'm not introducing properly my json file. What should I change to allow my docker image to read an updated json file (just like a variable) every time I run it?
I think you are using ENTRYPOINT in the wrong way. Please see this question and read more about ENTRYPOINT and CMD. In short, what you specify after image name when you run docker, will be passed as CMD and means will be passed to the ENTRYPOINT as a list of arguments. See the next example:
Dockerfile:
FROM python:3.8-slim
WORKDIR /app
COPY run.py .
ENTRYPOINT [ "python", "run.py"]
run.py:
import sys
print(sys.argv[1:])
When you run it:
> docker run -it --rm run-docker-image-with-json-file-as-variable arg1 arg2 arg3
['arg1', 'arg2', 'arg3']
> docker run -it --rm run-docker-image-with-json-file-as-variable python3 run.py arg1 arg2 arg3
['python3', 'run.py', 'arg1', 'arg2', 'arg3']
Map the json file into the container using something like -v $(pwd)/json_file.json:/mapped_file.json and pass the mapped filename to your program, so you get
docker run -v $(pwd)/json_file.json:/mapped_file.json -v /local/input:/app/input -v /local/output:/app/output/ -t docker_image python3 run.py model-segmentation-512.h5 /mapped_file.json

run two python scripts with docker compose

My folder structure looked like this:
My Dockerfile looked like this:
FROM python:3.8-slim-buster
WORKDIR /src
COPY src/requirements.txt requirements.txt
RUN pip install --no-cache-dir -r requirements.txt
COPY src/ .
CMD [ "python", "main.py"]
When I ran these commands:
docker build --tag FinTechExplained_Python_Docker .
docker run free
my main.pyfile ran and gave the correct print statements as well. Now, I have added another file tests.py in the src folder. I want to run the tests.py first and then main.py.
I tried modifying the cmdwithin my docker file like this:
CMD [ "python", "test.py"] && [ "python", "main.py"]
but then it gives me the print statements from only the first test.pyfile.
I read about docker-compose and added this docker-compose.yml file to the root folder:
version: '3'
services:
main:
image: free
command: >
/bin/sh -c 'python tests.py'
main:
image: free
command: >
/bin/sh -c 'python main.py'
then I changed my docker file by removing the cmd:
FROM python:3.8-slim-buster
WORKDIR /src
COPY src/requirements.txt requirements.txt
RUN pip install --no-cache-dir -r requirements.txt
COPY src/ .
Then I ran the following commands:
docker compose build
docker compose run tests
docker compose run main
When I run these commands separately, I get the correct print statements for both testsand main. However, I am not sure if I am using docker-composecorrectly or not.
Am I supposed to run both scripts separately? Or is there a way to run one after another using a single docker command?
How is my Dockerfile supposed to look like if I am running the python scripts from the docker-compose.yml instead?
Edit:
Ideally looking for solutions based on docker-compose
In the Bourne shell, in general, you can run two commands in sequence by putting && between them. It sounds like you're already aware of this.
# without Docker, at a normal shell prompt
python test.py && python main.py
The Dockerfile CMD has two syntactic forms. The JSON-array form does not run a shell, and so it is slightly more efficient and has slightly more consistent escaping rules. If it's not a JSON array then Docker automatically runs it via a shell. So for your use you can use the shell form:
CMD python test.py && python main.py
In comments to other answers you ask about providing this as an override in the docker-compose.yml file. Compose will not normally run a shell for you, so you need to explicitly specify it as part of the command: override.
command: /bin/sh -c 'python test.py && python main.py'
Your Dockerfile should generally specify a CMD and the docker-compose.yml often will not include a command:. This makes it easier to run the image in other contexts (via docker run without Compose; in Kubernetes) since you won't have to retype the command every different way you want to run the container. The entrypoint wrapper pattern highlighted in #sytech's answer is very useful in general and it's easy to add to a container that uses a CMD without an ENTRYPOINT; but it requires the Dockerfile to use CMD as a normal well-formed shell command.
You have to change CMD to ENTRYPOINT. And run the 1st script as daemon in the background using &.
ENTRYPOINT ["/docker_entrypoint.sh"]
docker_entrypoint.sh
#!/bin/bash
set -e
exec python tests.py &
exec python main.py
In general, it is a good rule of thumb that a container should only a single process and that essential process should be pid 1
Using an entrypoint can help you do multiple things at runtime and optionally run user-defined commands using exec, as according to the best practices guide.
For example, if you always want the tests to run whenever the container starts, then execute the defined command in CMD.
First, create an entrypoint script (be sure to make it executable with chmod +x):
#!/usr/bin/env bash
# always run tests first
python /src/tests.py
# then run user-defined command
exec "$#"
Then configure the dockerfile to copy the script and set it as the entrypoint:
#...
COPY entrypoint.sh /docker-entrypoint.sh
ENTRYPOINT ["/docker-entrypoint.sh"]
CMD ["python", "main.py"]
Then when you build an image from this dockerfile and run it, the entrypoint will first execute the tests then run the command to run main.py
The command can also still be overridden by the user when running the image like docker run ... myimage <new command> which will still result in the entrypoint tests being executed, but the user can change the command being run.
You can achieve this by creating a bash script(let's name entrypoint.sh) which is containing the python commands. If you want, you can create background processes of those.
#!/usr/bin/env bash
set -e
python tests.py
python main.py
Edit your docker file as follows:
FROM python:3.8-slim-buster
# Create workDir
RUN mkdir code
WORKDIR code
ENV PYTHONPATH = /code
#upgrade pip if you like here
COPY requirements.txt .
RUN pip install -r requirements.txt
# Copy Code
COPY . .
RUN chmod +x entrypoint.sh
ENTRYPOINT ["./entrypoint.sh"]
In the docker compose file, add the following line to the service.
entrypoint: [ "./entrypoint.sh" ]
Have you try this in your docker-compose.yaml?
version: '3'
services:
main:
image: free
command: >
/bin/sh -c 'python3 tests.py & && python3 main.py &'
both will run in the background
then run in terminal
docker-compose up --build

Running multiple python main files off Docker image

I have created a Docker image with dockerfile where the Entrypoint is as follows:
ENTRYPOINT ["conda", "run", "--no-capture-output", "-n", "myproject", "python", "./myprojectmain.py", "--config", "./config.py"]
When I run I use the command:
docker run myproject
all is fine it seems.
However I have a secondary .py file in the root of the project called setup.py. The purpose of this file is to update some of the config and json files after getting some input from the user.
Is there a way to run this secondary file (setup.py) or do I need to create a whole new image (which seems ridiculous).
Thanks
Well... if you got an image, you don't have to use entrypoint... just run your scripts like this:
docker run image "python /some/path/myscript.py"
or
docker run image /bin/bash -c "cd /some/path && python myscript.py"
or with entry point
RUN ./myprojectmain.py --config ./config.py
RUN ./myproject2main.py --config ./config.py
ENTRYPOINT ["conda", "run", "--no-capture-output", "-n", "myproject", "python"]
You can straightforwardly provide an alternate command after the image name in the docker run command. It's harder to override the entrypoint, though. If you have both a command and an entrypoint then they are combined together into a single command.
This workflow is easiest if your Dockerfile has a CMD, and that's a complete runnable shell command. If you have an ENTRYPOINT at all, it is some kind of wrapper that does some initial setup and then runs the command it's given as additional arguments. In this particular setup, conda run with its arguments seems to meet that need and have the correct form, so you could say
ENTRYPOINT ["conda", "run", "--no-capture-output", "-n", "myproject", "--"]
CMD ["python", "./myprojectmain.py", "--config", "./config.py"]
(Note that conda run seems to have some issues; you could probably simulate it using a custom entrypoint wrapper script or use a pip-based non-virtual-environment workflow instead.)
If you split the ENTRYPOINT and CMD like this, then you can run
docker run myproject \
python setup.py
The alternate python setup.py command will be appended to the conda run entrypoint command.
... update some of the config and json files ...
It's often a good idea to inject these into your container using a bind mount. Depending on how exactly the files get set up, you may be able to initialize them from the host environment, without Docker
./setup.py
docker run -d -v $PWD/config:/app/config myproject
but if they are sensitive to the Docker environment in some way, you could do it in Docker too; make sure to mount the same configuration storage into both containers.
docker network create mynet
docker volume create config
docker run --rm --net mynet -v config:/app/config myproject ./setup.py
docker run -d -p 8000:8000 --net mynet -v config:/app/config myproject

Docker ENV for Python variables

Being new to python & docker, I created a small flask app (test.py) which has two hardcoded values:
username = "test"
password = "12345"
I'm able to create a Docker image and run a container from the following Dockerfile:
FROM python:3.6
RUN mkdir /code
WORKDIR /code
ADD . /code/
RUN pip install -r requirements.txt
EXPOSE 5000
CMD ["python", "/code/test.py"]`
How can I create a ENV variable for username & password and pass dynamic values while running containers?
Within your python code you can read env variables like:
import os
username = os.environ['MY_USER']
password = os.environ['MY_PASS']
print("Running with user: %s" % username)
Then when you run your container you can set these variables:
docker run -e MY_USER=test -e MY_PASS=12345 ... <image-name> ...
This will set the env variable within the container and these will be later read by the python script (test.py)
More info on os.environ and docker env
In your Python code you can do something like this:
# USERNAME = os.getenv('NAME_OF_ENV_VARIABLE','default_value_if_no_env_var_is_set')
USERNAME = os.getenv('USERNAME', 'test')
Then you can create a docker-compose.yml file to run your dockerfile with:
version: '2'
services:
python-container:
image: python-image:latest
environment:
- USERNAME=test
- PASSWORD=12345
You will run the compose file with:
$ docker-compose up
All you need to remember is to build your dockerfile that you mentioned in your question with:
$ docker build -t python-image .
Let me know if that helps. I hope that answers your question.
FROM python:3
MAINTAINER <abc#test.com>
ENV username=test
password=12345
RUN mkdir /dir/name
RUN cd /dir/name && pip3 install -r requirements.txt
WORKDIR /dir/name
ENTRYPOINT ["/usr/local/bin/python", "./test.py"]
I split my docker-compose into docker-compose.yml (base), docker-compose.dev.yml, etc., then I had this issue.
I solved it by specifying the .env file explicitly in the base:
web:
env_file:
- .env
Not sure why, according to the docs it should just work if there's an .env file.

Docker map an external config file

I want to make an external config file via volume and pass it like:
docker run MyImage -v /home/path/my_config.conf:folder2/(is that right btw?)
But have no idea how to link this volume to the argument for the main.py...
My DocekrFile:
FROM python:3.6-jessie
MAINTAINER Vladislav Ladenkov
WORKDIR folder1/folder2
COPY folder2/requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY folder2/*.py ./
?? how to link volume ??
ENTRYPOINT ["python3", "main.py", "#??volume??"]
You want to use a folder-name to map the volume:
docker run MyImage -v /home/path/:/folder1/folder2/
So now /home/path folder on the host machine is mounted to /folder1/folder2 inside the container.
Then just pass the path of the conf file as seen within the container to the cmd.
ENTRYPOINT ["python3", "main.py", "/folder1/folder2/myconf.conf"]

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