initial project setup

This commit is contained in:
glenn schrooyen
2025-09-11 22:08:12 +02:00
parent 8cc588dc92
commit 21e4972ab1
46 changed files with 2755 additions and 1 deletions

126
docs/specs.md Normal file
View File

@@ -0,0 +1,126 @@
# Project Specification: **LabFusion**
## 1. Purpose & Goals
* Provide a **unified application** that integrates data and metrics from multiple homelab services (Home Assistant, Frigate, Immich, n8n, etc.).
* Enable creation of **dashboards** that visualize system and service performance (CPU, RAM, storage, uptime, etc.).
* Support **data mashups** (cross-service insights, e.g., "Frigate detected a person → check HA presence → enrich with Immich images").
* Serve as a **learning playground** for:
* Running **polyglot microservices** (Python, Java/Spring, modern frontend).
* Hosting everything with **Docker Compose** (extendable to Kubernetes later).
* Building **APIs and integrations** across services.
---
## 2. User Stories
### Core / First Iteration
* As a homelab owner, I want to see a **system dashboard** that shows CPU, RAM, and storage usage of all devices (Docker host, NAS, etc.).
* As a homelab owner, I want to see the **status of each service** (running, uptime, logs, alerts).
* As a homelab owner, I want to have a **dashboard builder** (predefined widgets like charts, tables, logs).
### Advanced / Later Iterations
* As a homelab owner, I want to **combine service data** (e.g., Frigate face detection + HA presence info).
* As a homelab owner, I want **notifications** (e.g., service down, high CPU, suspicious camera activity).
* As a homelab owner, I want the app to expose an **API layer** that other tools (like n8n) can consume.
---
## 3. Functional Requirements
1. **System Monitoring**
* Collect metrics from Docker hosts & containers (CPU, memory, disk, network).
* Display service health (via APIs, logs, or container status).
2. **Service Integrations**
* **Home Assistant**: read entity states via its REST/WebSocket API.
* **Frigate**: consume event data (detections, timelines).
* **Immich**: access image metadata (faces, tags, time).
* **n8n**: optional integration (trigger workflows from events).
3. **Dashboards**
* Modular widget-based UI (charts, tables, cards).
* Configurable dashboards (JSON schema for layout).
* Examples:
* Host performance overview.
* Container uptime.
* HA device states.
* Frigate detections timeline.
4. **Data Correlation (Phase 2)**
* Join data across services.
* Example: *Frigate detected “Alice” at 18:42 → HA shows Alices phone connected → Confirm Alice was home.*
---
## 4. Non-Functional Requirements
* **Performance**: Handle \~1000 events/day without lag.
* **Scalability**: Add more services without rewriting core.
* **Security**: Local auth (JWT/OAuth2), role-based access (later).
* **Resilience**: Auto-restart containers, graceful error handling.
* **Extensibility**: Plugin-like integration architecture.
---
## 5. System Architecture
* **Frontend (React, Vue, or Svelte)**
* Dashboard UI (charts, cards, widgets).
* Talks to backend via REST/WebSocket API.
* **Backend (polyglot)**
* **Java/Spring Boot**: Core API gateway, auth, user management.
* **Python FastAPI**: Service integration adapters (HA, Frigate, Immich).
* **Shared Message Bus** (e.g., Redis, Kafka, or RabbitMQ): decouple services.
* **Database**: PostgreSQL (persistent config, dashboards, event history).
* **Dockerized Deployment**
* Each component in its own container.
* Docker Compose orchestrates services.
* Future upgrade path: Kubernetes.
---
## 6. Data Model (simplified)
* **User** (id, username, roles).
* **Dashboard** (id, name, layout, widgets).
* **Widget** (id, type, config, service binding).
* **Event** (timestamp, service, type, metadata).
* **Device/Service State** (timestamp, entity\_id, value).
---
## 7. Deployment & Operations
* **Docker Compose stack** (frontend, Spring API, FastAPI adapters, DB, Redis).
* CI/CD pipeline (GitHub Actions).
* Monitoring (Prometheus + Grafana, optional since youre building dashboards).
* Config via `.env` or centralized config service.
---
## Roadmap
* **Iteration 1**: Build basic dashboards with host & container metrics.
* **Iteration 2**: Add service integrations (HA, Frigate).
* **Iteration 3**: Implement cross-service correlations (the "Alice detection" scenario).
* **Iteration 4**: Add notifications & automations.
---
## Project Title
**LabFusion** a unified dashboard and integration hub for your homelab.