netx/README.md

netx

Independent operations tool (web + MCP) for alarm-centric workflows.

Licensed under the MIT License. Security reports: SECURITY.md.

Phase 1 scope

• Import ZTE Alarm Monitor Excel
• Normalize and store alarms into an isolated PostgreSQL
• Query and aggregate alarms via REST API
• Expose the same read capabilities through MCP stdio tools
• Quick diagnostics endpoint (/v1/diagnostics)
• AP analysis bridge to oclaw (/v1/ap/analyze)

Environment setup (from scratch)

0) Prerequisites

• Python 3.11+ (project currently tested on newer versions too)
• Node.js 20+ (includes npm) for frontend
• PostgreSQL 14+
• PowerShell (Windows startup scripts use .ps1)

Quick check:

python --version
node --version
npm --version
psql --version

If Node/npm is missing (Windows example):

winget install OpenJS.NodeJS.LTS

1) Initialize PostgreSQL role/database (Windows, recommended)

For first-time setup on a new machine, run:

cd netx
powershell -ExecutionPolicy Bypass -File .\scripts\init_pg.ps1

The script is idempotent: it creates/repairs role netx, database netx, grants privileges, and verifies connection.

Common options:

powershell -ExecutionPolicy Bypass -File .\scripts\init_pg.ps1 `
  -SuperUser postgres `
  -SuperPassword "your-postgres-password" `
  -NetxUser netx `
  -NetxPassword "your-netx-password" `
  -NetxDatabase netx

2) Python virtual environment and backend deps

cd netx
python -m venv .venv
.\.venv\Scripts\python -m pip install --upgrade pip
.\.venv\Scripts\python -m pip install -r requirements.txt

3) Frontend deps (npm)

cd .\web
npm install
cd ..

4) Configure environment variables

Option A: temporary env vars in current shell

$env:NETX_DATABASE_URL = "postgresql+psycopg://netx:netx@127.0.0.1:5432/netx"
$env:NETX_HOST = "127.0.0.1"
$env:NETX_PORT = "8890"

Option B: local .env (recommended)

NETX_DATABASE_URL=postgresql+psycopg://postgres:admin123@127.0.0.1:5432/netx
NETX_OCLAW_ANALYZE_TOKEN=admin123
NETX_OCLAW_HEALTH_URL=http://127.0.0.1:8787/admin/api/ops-ai/health

5) Start services

Direct backend start:

.\.venv\Scripts\python -m netx_api.main

Or use automation scripts (recommended):

• API only (background):

powershell -ExecutionPolicy Bypass -File .\scripts\start_netx.ps1 -SkipInstall -Background

• API + Vite UI (background):

powershell -ExecutionPolicy Bypass -File .\scripts\start_netx.ps1 -SkipInstall -Background -WithWeb

Stop all started services:

powershell -ExecutionPolicy Bypass -File .\scripts\stop_netx.ps1 -Force

Primary web UI (Vite): http://127.0.0.1:5173/
API base: http://127.0.0.1:8890/

6) Optional: MCP server (for oclaw integration)

.\.venv\Scripts\python -m netx_api.mcp_server

Or install via payload:

• netx/mcp_install_payload.json

Useful API endpoints

• POST /v1/alarms/import (legacy import path, kept for compatibility)
• GET /v1/batches
• GET /v1/batches/{batch_id}
• GET /v1/batches/{batch_id}/errors.csv
• GET /v1/alarms
• GET /v1/alarms/aggregate
• GET /v1/diagnostics?batch_id=...
• GET /v1/ume/alarms
• GET /v1/ume/alarms/aggregate
• GET /v1/ume/diagnostics
• GET /v1/integrations/status
• POST /v1/ap/analyze

Web UI now includes an AI analyze panel that calls /v1/ap/analyze directly.

AP bridge auth (optional but recommended)

Set the same token on both sides:

• oclaw env: OCLAW_OPS_AI_SHARED_TOKEN=<token>
• netx env: NETX_OCLAW_ANALYZE_TOKEN=<token>

Optional: configure oclaw health check endpoint (defaults shown in .env.example):

• NETX_OCLAW_HEALTH_URL=http://127.0.0.1:8787/admin/api/ops-ai/health

analyze-sync runs a full LLM + gateway turn in oclaw; if netx reports timeout errors, raise the read timeout (seconds):

• NETX_OCLAW_ANALYZE_READ_TIMEOUT_SEC=180 (default 180; was effectively ~35s before)

Key sample file

Phase 1 parser (netx_api/config/parsers/zte_alarm_monitor_v1.yaml) remains available for historical compatibility. The recommended data source is UME sync (ume_alarms_current), while legacy import (POST /v1/alarms/import) is still kept available as a fallback path.

Contributing

Fork / PR 流程与注意事项见仓库根目录 CONTRIBUTING.md。