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:**
```dockerfile
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:**
```dockerfile
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:**
```dockerfile
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:**
```dockerfile
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:**
```dockerfile
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:**
```dockerfile
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:**
```dockerfile
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:**
```sh
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:**
```sh
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.