Content
# AI-automated-Aspen
This project aims to integrate Aspen series software with LLMs and MCP tools
## Requirements
- Local docker-based MCP tools (refer to https://github.com/modelcontextprotocol/servers/tree/main).
See docs in Github and Filesystem servers to set up docker-based MCPs
- GitHub API key: see https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens
- Python 3.11+ (this is for later integration with Langgraph Studio)
## Quick start
1. Python environment setup: `pip install -r requirements.txt`
2. Configuration: `configs/mcp_config.json` contains the configuration for the MCP tools.
1. Add your GitHub API key to the `env` section.
```json
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "<your_github_api_key>"
},
```
2. Add the path to the `data` directory in the `filesystem` section. Please note that the path should be the absolute path to the local data directory. e.g., "C:\\Users\\...\\data". This folder will be the folder that the agents read from and write to.
```json
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=<your_absolute_path_to_local_data_directory> ,dst=/projects/data",
"mcp/filesystem",
"/projects"
],
"transport": "stdio"
}
```
## Usage: Training data collection
The very first step of this project is to collect as many `.BKP` (Aspen Backup files) as possible and as diversed as possible.
The current strategy is to use MCP tools, including GitHub and Serp tool, to locate `.BKP`files on the internet and provide according documentations on the `.BKP` files.
It takes the following steps:
1. run `python -m src.data_collection_github_agent.graph` to create lists of `.BKP` files from GitHub. The agent will automatically create a list of `.BKP` files and save it to the `data` directory.
2. run `python -m scripts.create_download_list` to create a list of download links for the `.BKP` files.
3. use third party tool to download the `.BKP` files from the download links. Recommend using `aria2` to download the files if you are on linux systems and `Xunlei` on windows systems.
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