Collegium:Imperium System

Imperium System Mission Plan

Overview

The Imperium System Mission Plan outlines the phased construction and testing of the Imperium, a distributed data processing pipeline. Each mission is executed in a separate thread using OODA (Observe, Orient, Decide, Act) loops, with completion validated via independent tests. The plan adheres to the Lingua standard, using Latin nomenclature (e.g., aqua_datum, grana_datum, pomerium, flamen_martialis) to ensure script interoperability and support quarterly redundancy audits for AI training.

Mission Plan

The following table details the 14 missions, each with tools, dependencies, and objectives to build a unified, secure, and efficient system.

Mission	Description	Tools/Dependencies	Objectives	Status
NFS Setup on Roma, Horreum, and Torta	Configure NFS mounts to unify Roma, Horreum, and Torta (smaller HDD, ~698 GB) as a single logical system within Pomerium, enabling seamless file sharing for scripts and grana_datum. Ensures no race conditions and supports the "single machine" goal.	NFS (nfs-kernel-server, nfs-common); configure /etc/exports on Torta, mount on Roma/Horreum	Read/write access across nodes with static IPs, tested via file creation/listing on pomerium_via paths	Completed
NFS-Plus GPU Dispatching	Extend NFS setup to enable Roma or Torta scripts to dispatch GPU-intensive tasks (e.g., AI processing) to Horreum’s NVIDIA RTX 5060 Ti, preserving energy efficiency. Builds on NFS for unified data access.	NFS mounts, CUDA toolkit on Horreum, SSH-based job dispatching (e.g., ssh or SLURM)	Run a sample GPU task (e.g., Python/CUDA script) from Roma using Horreum’s GPU	Pending
Preparing Dockers and Directories on Latium and Torta	Set up Docker containers (Pomerium, Campus Martius, Flamen Martialis) on Latium and minimal directory structure on Torta (e.g., /mnt/lacus, /mnt/aquaeductus) for pipeline operations. Simplifies Torta by keeping it Docker-free.	Docker, .bashrc modifications, directory scripts	Functional containers and directories, tested by mock commands in each context	Pending
NFS-Plus Setup on Torta Hard Drives and Pomerium on Latium	Configure Torta’s external HDDs (larger ~1.8 TB for lacus, smaller ~698 GB for aquaeductus) with NFS, integrating Latium’s Pomerium Docker into the internal NFS network. Ensures secure data flow from external to internal zones.	NFS, WireGuard, ufw	Read-only NFS access from Latium to Torta’s smaller HDD, tested via mount and file read	Pending
Flamen Martialis and Salii Separation	Implement Flamen Martialis in Latium’s Campus Martius Docker for external data collection/sanitation, with Salii on Roma for internal processing, reducing Latium’s role and vulnerabilities. Ensures Salii is air-gapped, using Horreum’s GPU.	Python, NFS, SSH	Flamen Martialis collecting aqua_datum and Salii processing to grana_datum, tested with a mock dataset	Pending
Simple Data Diodes	Establish a one-way data flow from Latium to Torta (Campus Martius to Pomerium) to prevent reverse communication, mitigating security risks. Focuses on lightweight, secure transfer protocols.	RSYNC, ufw, WireGuard	One-way aqua_datum push to /mnt/lacus, tested by verifying no reverse access	Pending
RSYNC Optimization	Optimize RSYNC for fast, secure one-way data transfers over WireGuard, replacing SCP to avoid bottlenecks in pipelines like NOTAM. Tunes MTU and compression for performance.	RSYNC, WireGuard, cron	Transfer mock JSON files in <1s, tested by comparing transfer times	Pending
Tar + Netcat (nc) Implementation	Implement tar + nc for burst/large dataset transfers, comparing with RSYNC to determine the best tool per task (e.g., NOTAM vs. musica). Establishes a decision process for tool selection.	Tar, Netcat, WireGuard	Functional burst transfer with a decision matrix, tested with mock data	Pending
Firejail/Bubblewrap Sandboxing	Deploy Firejail (or Bubblewrap) on Latium to sandbox Flamen Martialis scripts, ensuring secure processing of external aqua_datum. Avoids heavy Firecracker setup.	Firejail, Python	Sandboxed mock script with restricted access, tested via confinement checks	Pending
Supabase Integration	Integrate Supabase as a filtering buffer for aqua_datum, using RLS and edge functions to validate data before transfer to Torta or Roma. Enhances security and supports prototypes.	Supabase client libraries, REST API, WireGuard	Validated data push/pull, tested with a mock schema	Pending
JSONPlaceholder Data Pipeline Test	Test the full pipeline using JSONPlaceholder’s mock API, simulating data flow from Latium to Torta to Roma/OodaWiki. Validates end-to-end setup.	Python, RSYNC/nc, NFS, pywikibots	Complete data cycle, tested by verifying output on OodaWiki	Pending
NOTAM Data Pipeline Test	Test the pipeline with NOTAM API data, focusing on scheduled pulls and performance. Ensures reliable handling of time-sensitive data.	Python, Supabase (optional), RSYNC/nc, NFS	NOTAM ingestion to Roma SQL or OodaWiki, tested by data accuracy	Pending
RapidAPI via Supabase Test	Test a basic RapidAPI endpoint via Supabase for filtering, integrating with the pipeline to store/publish results. Validates external API handling.	Supabase, Python, RSYNC/nc, pywikibots	API-to-Wiki flow, tested by published data on OodaWiki	Pending
Automation/Standardized Deployment Script	Develop a CLI script to automate directory and tool setup for new projects (e.g., musica, NOTAM) across Imperium, using test lessons. Ensures consistent, customizable deployments.	Bash/Python, Docker, NFS, Supabase	Script for project setup with one command, tested by deploying a mock project	Pending

Execution Plan

Each mission will be executed in a dedicated thread using OODA loops:

• Observe: Assess current system state (e.g., installed packages, configurations).
• Orient: Plan configurations and identify dependencies.
• Decide: Select specific tools and parameters.
• Act: Implement and test the setup.

Upon thread completion, results are reported to the main strategic thread, where an independent test (e.g., file access, data transfer, script execution) confirms success. Successful missions are closed, and the next thread is initiated. The main thread tracks progress, ensuring coherence with the Imperium’s Lingua conventions and strategic goals.

Notes

• Missions adhere to the Lingua standard, using Latin terms (e.g., pomerium_via for NFS paths, frumentarii_transfer for RSYNC jobs) to support script interoperability and quarterly audits for AI training.
• The plan prioritizes foundational infrastructure (NFS, GPU dispatching) before security mechanisms (data diodes, sandboxing) and pipeline tests, culminating in automation for scalability.
• Mission 1 (NFS Setup) was completed with fixed port configurations for NFS services and verified through multi-node file creation, concurrent writes, and cleanup tests, establishing unified access in Pomerium.