My Dockerfile (run by a much larger docker-compose): and the relevant code from the docker-compose.yml: The Python code I’m using to check the directory structure: and its output: I don’t understand why the directory structure seen/output by the Dockerfile would be completely different from the directory structure seen/output by my Python file. For some reason, even though the Python code
Tag: dockerfile
docker-compose, reload server each time I make changes to code
I am dockerizing my Django app and I have the following docker-compose.yml file: App logs: I want my container (or the app, idk) to reload whenever I let’s say make changes to my models or functions etc. For now, I add some functionality to my app, edit some html views, but no changes appears and the app logs doesn’t say
How to create a Dockerfile for streamlit app
I am aiming to deploy a web-app written with Sreamlit, I can run this on my local machine by running streamlit run Home.py in my command line. However, I’m not sure how to create the docker file. Any advice? Answer In order to Dockerise your app you need two files: Dockerfile : describes the image structure, docker-compose.yml : describes how
Error in anyjson setup command: use_2to3 is invalid
This is a common error which the most common solution to is to downgrade setuptools to below version 58. This was not working for me. I tried installing python3-anyjson but this didn’t work either. I’m at a complete loss.. any advice or help is much appreciated. If it matters: this application is legacy spaghetti and I am trying to polish
ADD multiple Files to a docker but just RUN one of them
It’s just a theoretical question. Is there a way to run the docker but only run one specific script without changing the Dockerfile? Maybe with the docker run [container] command? Dockerfile: Theoretical Command: docker run docker-test main2.py Answer There is nothing “theoretical” about this. Docker copies into place the files, and if they are working executables, you can execute them
How can I activate conda venv in Dockerfile? (pip not found)
I’m trying to build a docker image like However, /bin/bash -c “source ~/.bashrc” does not work… so I got /bin/sh: 1: pip: not found How can I build a docker image installing miniconda and python requirements using pip at the same time? Answer I would recommend using a pre-existing Docker image that already has Anaconda installed. For example, this link
How to redirect FastAPI Documentation while running on Docker
I need to redirect “/swagger-ui.html” to the documentation page. I tried: and But, running the project directly (using uvicorn command) I works, but when I put it on a Docker container, it outputs this message on the browser, asking for the location, where nothing works as input: Unable to infer base url. This is common when using dynamic servlet registration
How can I extract contents from a file stored in gitlab repos
Using the gitlab-python package, I’d like to extract lines from all Dockerfiles. Using my code below, I am able to get project names and url to the repo I want but how can I ensure there is a Dockerfile and read the contents of the Dockerfile. The output I get now is : Answer You can use the project.files.get() method
Windows compatibility: Permissions?
OS Windows 10, I am using Docker Engine version 18.09.2, the API version is 1.39 The website explaining the steps to run CAT is: https://libraries.io/pypi/medcat I am building the medcat image locally. Output looks good until the end of the build process: When I am trying to start the container I just built, I get: Does anyone have experience with