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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
-
JSON Processing Environment:
- Purpose: To handle JSON parsing, validation, and transformation.
- Dependencies: Libraries for working with JSON data.
-
API Interaction Environment:
- Purpose: To interact with APIs, handle requests, and manage responses.
- Dependencies: HTTP clients and frameworks for API interactions.
-
Notebook Visualization Environment:
- Purpose: To perform data analysis and visualization in Jupyter notebooks.
- Dependencies: Libraries for data manipulation and visualization.
-
General Data Analysis Environment:
- Purpose: To analyze and process data using various data science tools.
- Dependencies: Libraries for data manipulation, analysis, and machine learning.
-
Web Development Environment:
- Purpose: To develop web applications and APIs.
- Dependencies: Web frameworks and tools for developing web services.
-
DevOps Environment:
- Purpose: To manage infrastructure, automate tasks, and handle CI/CD pipelines.
- Dependencies: Tools for infrastructure as code, automation, and cloud services.
-
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.