# Reanimator

**Reanimator** is an event-driven hardware lifecycle platform for tracking servers and components from warehouse intake to production operation, failure analysis, and retirement.

It treats infrastructure like a medical record: every asset and component has a complete, queryable history of location, firmware, incidents, and reliability over time.

## Project Tracking

Development milestones and execution checklist are in `TODO.md`.

## What Reanimator Solves

- Inventory and shipment tracking
- Full component hierarchy (`asset -> subcomponents`)
- Time-based installation history (components can move between assets)
- Firmware and lifecycle timeline visibility
- Failure analytics (AFR, MTBF, reliability by part class)
- Spare-part planning
- Service ticket correlation
- Offline log ingestion with later synchronization

## Core Principles

1. **Events are the source of truth**
   - Current state is derived from event history.
2. **Hardware relationships are time-based**
   - A component is linked to an asset through installation intervals, not permanent foreign keys.
3. **Observations are not facts**
   - Logs produce observations; observations produce derived events; events update state.
4. **Data integrity first**
   - Keep writes idempotent and preserve raw ingested data.

## High-Level Architecture

```text
LogBundle (offline)
      ->
Ingestion API
      ->
Parser / Observation Layer
      ->
Event Generator
      ->
Domain Model
      ->
MariaDB
      ->
API / UI / Connectors
```

## Domain Model (MVP)

### Organizational

- **Customer**: owner organization
- **Project**: infrastructure grouping within a customer
- **Location** (recommended): warehouse, datacenter, rack, repair center

### Hardware

- **Asset**: deployable hardware unit (usually a server)
- **Component**: hardware part installed in an asset (SSD, DIMM, CPU, NIC, PSU)
- **LOT**: internal part classification for reliability analytics (for example, `SSD_NVME_03.84TB_GEN4`)
- **Installation**: time-bounded relationship between component and asset

`installations.removed_at IS NULL` means the installation is currently active.

### Ingestion and Lifecycle

- **LogBundle**: immutable raw upload package
- **Observation**: parsed snapshot at collection time
- **TimelineEvent**: normalized lifecycle event (installed, removed, moved, firmware changed, ticket linked, etc.)
- **FailureEvent**: explicit failure record with source and confidence

### Service Correlation

- **Ticket**: imported external service case
- **TicketLink**: relation to project, asset, or component

## Suggested Database Tables (MVP)

```text
customers
projects
locations

assets
components
lots
installations

log_bundles
observations
timeline_events

tickets
ticket_links
failure_events
```

### Important Indexes

- `components(vendor_serial)`
- `assets(vendor_serial)`
- `installations(component_id, removed_at)`
- `timeline_events(subject_type, subject_id, timestamp)`
- `observations(component_id)`

## API (MVP)

### Ingestion

- `POST /ingest/logbundle` (must be idempotent)

### Assets and Components

- `GET /assets`
- `GET /components`
- `GET /assets/{id}/timeline`
- `GET /components/{id}/timeline`

### Tickets

- `POST /connectors/tickets/sync`

## Recommended Go Project Layout

```text
cmd/reanimator-api
internal/domain
internal/repository
internal/ingest
internal/events
internal/connectors
internal/jobs
internal/api
```

## Initial Delivery Plan

1. **Registry**: customers, projects, assets, components, LOT
2. **Ingestion**: logbundle upload, observation persistence, installation detection
3. **Timeline**: event derivation and lifecycle views
4. **Service Correlation**: ticket sync and linking

## Future Extensions

- Predictive failure modeling
- Spare-part forecasting
- Firmware risk scoring
- Automated anomaly detection
- Rack-level topology
- Warranty and RMA workflows
- Multi-tenant support

## Immediate Next Steps

1. Initialize Go module
2. Create base schema and indexes
3. Implement ingestion endpoint
4. Add observation-to-event derivation
5. Expose asset/component timeline APIs

Start with data model correctness, not UI.