Drop default-all-VRF mode so collects must bind VRFs manually; discover starts with none selected and select-all toggles to deselect. Co-authored-by: Cursor <cursoragent@cursor.com> |
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| .github/ISSUE_TEMPLATE | ||
| alembic | ||
| docs | ||
| netx_api | ||
| packages | ||
| scripts | ||
| skills | ||
| tests | ||
| web | ||
| .env.example | ||
| .gitattributes | ||
| .gitignore | ||
| alembic.ini | ||
| CONTRIBUTING.md | ||
| LICENSE | ||
| mcp.json | ||
| mcp_install_payload.json | ||
| mcp_topology_install_payload.json | ||
| PROD_MIN_CHECKLIST.md | ||
| pyproject.toml | ||
| README.md | ||
| requirements.txt | ||
| SECURITY.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
# App login (required for production)
NETX_AUTH_ENABLED=true
NETX_AUTH_SECRET=replace-with-a-long-random-string
NETX_BOOTSTRAP_ADMIN_USERNAME=admin
NETX_BOOTSTRAP_ADMIN_PASSWORD=change-me-on-first-boot
Auth & audit
不必改 .env 也能用(本机默认):
| 项 | 默认值 |
|---|---|
| 登录账号 | admin / admin123 |
NETX_AUTH_SECRET |
内置开发密钥(生产请改) |
| MCP Token 文件 | 首次启动写入 data/auth/mcp_token |
生产建议在 .env 覆盖:
NETX_AUTH_SECRET=your-long-random-secret
NETX_BOOTSTRAP_ADMIN_PASSWORD=your-strong-password
- Web:打开
/login,用admin/admin123(首次建库后生效)。工作台有 API Key 页可为不同用户生成 Token 并设置有效期。 - MCP:优先读环境变量
NETX_API_TOKEN;未设置时自动读data/auth/mcp_token(API 启动时生成)。也可在 Cursor MCP 配置里显式填写:
"NETX_API_TOKEN": "nxt_...."
Token 内容见 data/auth/mcp_token,或登录后调用 POST /v1/api-tokens 新建。
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) MCP(Cursor / oclaw / Claude)
先启动 netx API(§5),再在 MCP 宿主同机 安装轻量客户端并配置。
完整说明(安装、配置、更新、排错)见:docs/MCP.md
拓扑画布独立 MCP 见:docs/MCP_TOPOLOGY.md
速查:
pip install -e ./packages/netx-mcp
# 拓扑(可选,单独安装)
pip install -e ./packages/netx-topology-mcp
# 配置见 mcp.json,运行:
python -m netx_mcp
python -m netx_topology_mcp
- 客户端配置:
mcp.json(含netx+ 可选netx-topology) - oclaw payload:
mcp_install_payload.json/mcp_topology_install_payload.json - 子包:
packages/netx-mcp、packages/netx-topology-mcp
Useful API endpoints
POST /v1/alarms/import(legacy import path, kept for compatibility)GET /v1/batchesGET /v1/batches/{batch_id}GET /v1/batches/{batch_id}/errors.csvGET /v1/alarmsGET /v1/alarms/aggregateGET /v1/diagnostics?batch_id=...GET /v1/ume/alarmsGET /v1/ume/alarms/aggregateGET /v1/ume/diagnosticsGET /v1/integrations/statusPOST /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:
oclawenv:OCLAW_OPS_AI_SHARED_TOKEN=<token>netxenv: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(default180; 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。