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the_information_nexus/tech_docs/docker_dev_enviroments.md

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Connecting tmux to your Docker containers' bin/bash terminal is a great way to manage and work with your codebase. Here's a step-by-step guide on how to set this up:

Step 1: Install tmux on your host machine

If you haven't installed tmux on your host machine, you can do so with the following commands:

On Ubuntu/Debian:

sudo apt-get update
sudo apt-get install tmux

On macOS:

brew install tmux

Step 2: Start a Docker container with interactive bash

You can start your Docker container with an interactive bash shell using the -it option:

docker run -it --name my-container my-image /bin/bash

Replace my-container with the name you want for your container and my-image with the name of your Docker image.

Step 3: Attach tmux to the Docker container

Once you have your Docker container running, you can open a new tmux session on your host machine:

tmux new -s mysession

Replace mysession with the name you want for your tmux session.

Step 4: Split tmux panes and attach to the container

In your tmux session, you can split the window into panes and attach each pane to the Docker container's bash shell.

Horizontal Split:

tmux split-window -h

Vertical Split:

tmux split-window -v

You can now attach each pane to the Docker container using the following command in each pane:

docker exec -it my-container /bin/bash

Replace my-container with the name of your running Docker container.

Example Workflow

Here’s an example workflow:

  1. Start tmux:

    tmux new -s devsession

  2. Start a Docker container:

    docker run -it --name json-processing-container json-processing-env /bin/bash

  3. Split tmux window:

    # Inside tmux, press Ctrl+b, then % for horizontal split
tmux split-window -h

# Or press Ctrl+b, then " for vertical split
tmux split-window -v

  4. Attach tmux panes to Docker container:

    # In the first pane
docker exec -it json-processing-container /bin/bash

# Move to the next pane (Ctrl+b, followed by the arrow key) and repeat
docker exec -it json-processing-container /bin/bash

Step 5: Save tmux session for later use

You can save your tmux session setup and restore it later using a tmuxinator or tmux-resurrect plugin.

Install tmuxinator:

gem install tmuxinator

Create a tmuxinator configuration:

tmuxinator new myproject

Edit the generated ~/.tmuxinator/myproject.yml configuration file to include your Docker container setup.

Example myproject.yml:

name: myproject
root: ~/myproject
windows:
  - editor:
      layout: main-horizontal
      panes:
        - docker exec -it json-processing-container /bin/bash
        - docker exec -it json-processing-container /bin/bash
  - logs:
      layout: even-vertical
      panes:
        - docker exec -it json-processing-container /bin/bash
        - docker exec -it json-processing-container /bin/bash

Start tmux session with tmuxinator:

tmuxinator start myproject

This setup allows you to manage multiple Docker containers efficiently within tmux, keeping your development workflow organized and productive.

Certainly! Let’s take a step back and define more logical and well-defined environments tailored to your needs. We’ll create distinct Docker environments for JSON processing, API interactions, notebook visualizations, data analysis, web development, DevOps, and testing.

Logical Environments

  1. JSON Processing Environment:

    • Purpose: To handle JSON parsing, validation, and transformation.
    • Dependencies: Libraries for working with JSON data.

  2. API Interaction Environment:

    • Purpose: To interact with APIs, handle requests, and manage responses.
    • Dependencies: HTTP clients and frameworks for API interactions.

  3. Notebook Visualization Environment:

    • Purpose: To perform data analysis and visualization in Jupyter notebooks.
    • Dependencies: Libraries for data manipulation and visualization.

  4. General Data Analysis Environment:

    • Purpose: To analyze and process data using various data science tools.
    • Dependencies: Libraries for data manipulation, analysis, and machine learning.

  5. Web Development Environment:

    • Purpose: To develop web applications and APIs.
    • Dependencies: Web frameworks and tools for developing web services.

  6. DevOps Environment:

    • Purpose: To manage infrastructure, automate tasks, and handle CI/CD pipelines.
    • Dependencies: Tools for infrastructure as code, automation, and cloud services.

  7. Testing Environment:

    • Purpose: To run unit tests, integration tests, and other forms of automated testing.
    • Dependencies: Testing frameworks and tools for code coverage.

Refactored Environments

1. JSON Processing Environment

Dockerfile.json-processing:

FROM python:3.9

RUN apt-get update && \
    apt-get install -y vim git curl

RUN mkdir -p ~/.vim/pack/plugins/start && \
    curl -fLo ~/.vim/autoload/plug.vim --create-dirs \
    https://raw.githubusercontent.com/junegunn/vim-plug/master/plug.vim

COPY .vimrc /root/.vimrc

WORKDIR /app

COPY requirements-json.txt /app/

RUN pip install --no-cache-dir -r requirements-json.txt

COPY . /app

CMD ["tail", "-f", "/dev/null"]

requirements-json.txt:

jsonschema
pydantic
ujson

2. API Interaction Environment

Dockerfile.api-interaction:

FROM python:3.9

RUN apt-get update && \
    apt-get install -y vim git curl

RUN mkdir -p ~/.vim/pack/plugins/start && \
    curl -fLo ~/.vim/autoload/plug.vim --create-dirs \
    https://raw.githubusercontent.com/junegunn/vim-plug/master/plug.vim

COPY .vimrc /root/.vimrc

WORKDIR /app

COPY requirements-api.txt /app/

RUN pip install --no-cache-dir -r requirements-api.txt

COPY . /app

CMD ["tail", "-f", "/dev/null"]

requirements-api.txt:

requests
httpx
fastapi
pydantic
ujson

3. Notebook Visualization Environment

Dockerfile.notebook-visualization:

FROM python:3.9

RUN apt-get update && \
    apt-get install -y vim git curl

RUN mkdir -p ~/.vim/pack/plugins/start && \
    curl -fLo ~/.vim/autoload/plug.vim --create-dirs \
    https://raw.githubusercontent.com/junegunn/vim-plug/master/plug.vim

COPY .vimrc /root/.vimrc

WORKDIR /app

COPY requirements-visualization.txt /app/

RUN pip install --no-cache-dir -r requirements-visualization.txt

COPY . /app

CMD ["jupyter", "notebook", "--ip=0.0.0.0", "--allow-root", "--no-browser"]

requirements-visualization.txt:

numpy
pandas
matplotlib
seaborn
jupyter
plotly

4. General Data Analysis Environment

Dockerfile.data-analysis:

FROM python:3.9

RUN apt-get update && \
    apt-get install -y vim git curl

RUN mkdir -p ~/.vim/pack/plugins/start && \
    curl -fLo ~/.vim/autoload/plug.vim --create-dirs \
    https://raw.githubusercontent.com/junegunn/vim-plug/master/plug.vim

COPY .vimrc /root/.vimrc

WORKDIR /app

COPY requirements-data-analysis.txt /app/

RUN pip install --no-cache-dir -r requirements-data-analysis.txt

COPY . /app

CMD ["tail", "-f", "/dev/null"]

requirements-data-analysis.txt:

numpy
pandas
scipy
scikit-learn
matplotlib
seaborn
jupyter

5. Web Development Environment

Dockerfile.web-development:

FROM python:3.9

RUN apt-get update && \
    apt-get install -y vim git curl

RUN mkdir -p ~/.vim/pack/plugins/start && \
    curl -fLo ~/.vim/autoload/plug.vim --create-dirs \
    https://raw.githubusercontent.com/junegunn/vim-plug/master/plug.vim

COPY .vimrc /root/.vimrc

WORKDIR /app

COPY requirements-web-dev.txt /app/

RUN pip install --no-cache-dir -r requirements-web-dev.txt

COPY . /app

CMD ["tail", "-f", "/dev/null"]

requirements-web-dev.txt:

flask
django
fastapi
requests
httpx

6. DevOps Environment

Dockerfile.devops:

FROM python:3.9

RUN apt-get update && \
    apt-get install -y vim git curl

RUN mkdir -p ~/.vim/pack/plugins/start && \
    curl -fLo ~/.vim/autoload/plug.vim --create-dirs \
    https://raw.githubusercontent.com/junegunn/vim-plug/master/plug.vim

COPY .vimrc /root/.vimrc

WORKDIR /app

COPY requirements-devops.txt /app/

RUN pip install --no-cache-dir -r requirements-devops.txt

COPY . /app

CMD ["tail", "-f", "/dev/null"]

requirements-devops.txt:

ansible
terraform
docker
boto3

7. Testing Environment

Dockerfile.testing:

FROM python:3.9

RUN apt-get update && \
    apt-get install -y vim git curl

RUN mkdir -p ~/.vim/pack/plugins/start && \
    curl -fLo ~/.vim/autoload/plug.vim --create-dirs \
    https://raw.githubusercontent.com/junegunn/vim-plug/master/plug.vim

COPY .vimrc /root/.vimrc

WORKDIR /app

COPY requirements-testing.txt /app/

RUN pip install --no-cache-dir -r requirements-testing.txt

COPY . /app

CMD ["tail", "-f", "/dev/null"]

requirements-testing.txt:

pytest
mock
coverage
tox

Managing Multiple Dockerfiles

You can use descriptive names for the Dockerfiles and build commands specifying the Dockerfile to use.

Building Containers:

docker build -t json-processing-env -f Dockerfile.json-processing .
docker build -t api-interaction-env -f Dockerfile.api-interaction .
docker build -t notebook-visualization-env -f Dockerfile.notebook-visualization .
docker build -t data-analysis-env -f Dockerfile.data-analysis .
docker build -t web-development-env -f Dockerfile.web-development .
docker build -t devops-env -f Dockerfile.devops .
docker build -t testing-env -f Dockerfile.testing .

Running Containers:

docker run -it --name json-processing-container json-processing-env
docker run -it --name api-interaction-container api-interaction-env
docker run -it --name notebook-visualization-container -p 8888:8888 notebook-visualization-env
docker run -it --name data-analysis-container data-analysis-env
docker run -it --name web-development-container web-development-env
docker run -it --name devops-container devops-env
docker run -it --name testing-container testing-env

This structure ensures each environment is well-defined, logical, and tailored to specific tasks, allowing you to work efficiently across different projects and avoid conflicts between dependencies.