Dusting off Solr MCP - WIP

[CloudMarc]

This pull request introduces a new Dockerfile for containerizing the application, updates the docker-compose.yml configuration, adds a new dependency, improves file handling in a script, and refactors a test script to use explicit configuration. Below is a breakdown of the most important changes:

Containerization and Deployment

• Added a Dockerfile to containerize the application. This includes setting up a Python 3.10 environment, installing dependencies using Poetry, and defining environment variables for Solr and Ollama configurations. The application is set to run on port 8000. (Dockerfile, DockerfileR1-R33)
• Updated docker-compose.yml to specify the command for running the application inside the container. (docker-compose.yml, docker-compose.ymlR153)

Dependency Management

• Added aiohttp as a new dependency in pyproject.toml, which may be used for asynchronous HTTP requests. (pyproject.toml, pyproject.tomlR31)

Script Improvements

• Enhanced the process_markdown_file function to ensure the output directory exists before writing files, improving robustness. (scripts/process_markdown.py, scripts/process_markdown.pyR105-R109)

Test Refactoring

• Refactored simple_mcp_test.py to use an explicit SolrConfig object when initializing SolrClient, making the configuration more transparent and flexible. Commented out unused search-related code for future updates. (scripts/simple_mcp_test.py, [1] [2]