Files
boc/vims-core/INTEGRATION.md
T
Bernt 58ca4e68db feat(boc): Complete Business Operations Center v1.0
- Go backend API with full CRUD for all modules (CRM, Sales, Finance, HR, Legal, Marketing, Support, Purchase, Inventory, Projects, Automation, Analytics)
- Rust analytics service with parallel report generation
- C runtime with POSIX shared memory IPC
- PostgreSQL schema with 30+ tables, full migrations
- Redis cache, sessions, pub/sub
- Kafka event streaming with Zookeeper
- WebSocket hub for real-time updates
- Automation engine with cron jobs, workflows, event triggers
- JWT authentication, multi-tenant from start
- Docker Compose with all services
- Nginx reverse proxy with rate limiting
- Integration tests passing
- Feature gap analysis against Fortnox/Odoo/Visma

Refs: BOC-001
2026-07-12 12:41:35 +00:00

97 lines
3.9 KiB
Markdown

# VIMS Core Integration Report
## Test Results
**Date:** 2026-07-11
**Status:** ✅ ALL TESTS PASSED (9/9)
### Test Coverage
| Test | Status |
|------|--------|
| All instances exist | ✅ PASS |
| Instance structure valid | ✅ PASS |
| Detector files present | ✅ PASS |
| Database creation | ✅ PASS |
| Config validity | ✅ PASS |
| Article links | ✅ PASS |
| ATM database setup | ✅ PASS |
| ATM detector initialization | ✅ PASS |
| API endpoints | ✅ PASS |
## Instances Created (20 total)
### ATM Monitoring (separate system)
- `atm-monitoring` — ATM Anomaly Detection (14 classes)
### VIMS Core Instances (19)
| # | Instance | Article | Classes |
|---|----------|---------|---------|
| 1 | street-lighting | Evidence-Driven Municipal Maintenance | 4 |
| 2 | bridge-inspection | Bridge Inspection Software Comparison | 5 |
| 3 | retail-analytics | Retail Site Selection Data | 5 |
| 4 | insurance-risk | Pre-Loss Surveys Insurance | 5 |
| 5 | municipal-maintenance | Evidence-Driven Municipal Maintenance | 6 |
| 6 | construction-site | Future of Infrastructure Monitoring | 5 |
| 7 | real-estate-condition | Real Estate Due Diligence | 5 |
| 8 | urban-decay | How to Measure Urban Decay | 5 |
| 9 | crowdsourced-verification | Ground Truth Verification | 5 |
| 10 | data-quality | Can You Trust Crowdsourced Data? | 5 |
| 11 | insurance-contradiction | Insurance Contradiction Analysis | 5 |
| 12 | continuous-monitoring | Continuous vs Periodic Inspection | 5 |
| 13 | decision-intelligence | Decision-First Intelligence | 5 |
| 14 | satellite-validation | Field Intelligence vs Satellite | 5 |
| 15 | cost-stale-data | Calculate Cost of Stale Data | 5 |
| 16 | contradiction-gap | The Contradiction Gap | 5 |
| 17 | consensus-engine | How the Consensus Engine Works | 5 |
| 18 | official-statistics | The Problem with Official Statistics | 5 |
| 19 | preventive-maintenance | Economics of Preventive Maintenance | 5 |
## Architecture
```
┌─────────────────────────────────────────┐
│ VIMS Core Framework │
├─────────────────────────────────────────┤
│ Core: │
│ • base_detector.py (abstract base) │
│ • database.py (SQLite/PostgreSQL) │
│ • api_base.py (FastAPI router) │
├─────────────────────────────────────────┤
│ Instances: │
│ • 19 topic-specific detectors │
│ • 19 databases (SQLite) │
│ • 19 API endpoints │
├─────────────────────────────────────────┤
│ ATM System (separate): │
│ • Full FastAPI server │
│ • WebSocket alerts │
│ • Dashboard (HTML/JS) │
│ • Docker + docker-compose │
│ • CI/CD (GitHub Actions) │
└─────────────────────────────────────────┘
```
## Next Steps
1. **Train models** — Add training images to each instance's `data/raw/`
2. **Deploy** — Run `docker-compose up` in atm-anomaly-detection/
3. **Scale** — Create more instances with `scripts/create_instance.py`
## Commands
```bash
# Run all tests
cd vims-core && python3 -m pytest tests/ -v
# Create new instance
python3 vims-core/scripts/create_instance.py \
--name "new-topic" \
--display-name "New Topic Monitoring" \
--classes "class1,class2,class3" \
--article-url "/insights/article-slug/"
# Start ATM system
cd atm-anomaly-detection && docker-compose up
```