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cuopt-server-api-python

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部署一个 cuOpt REST 服务器,并使用 Python 或 curl 解决路由优化问题。

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更新时间 2026-09-25

cuOpt 服务器 — 部署与客户端(Python/curl)

本技能涵盖服务器和 客户端示例(curl、Python)的启动。服务器没有单独的 C 语言 API(客户端可以使用任何编程语言)。

启动服务器

# 开发环境
python -m cuopt_server.cuopt_service --ip 0.0.0.0 --port 8000

# Docker
docker run --gpus all -d -p 8000:8000 -e CUOPT_SERVER_PORT=8000 \
  nvidia/cuopt:latest-cuda12.9-py3.13

验证

curl http://localhost:8000/cuopt/health

工作流

  1. 向/cuopt/request发送 POST 请求 → 获取reqId
  2. 轮询/cuopt/solution/{reqId}直到解决方案就绪
  3. 解析响应

Python 客户端(路由)

import requests, time
SERVER = "http://localhost:8000"
HEADERS = {"Content-Type": "application/json", "CLIENT-VERSION": "custom"}
payload = {
    "cost_matrix_data": {"data": {"0": [[0,10,15],[10,0,12],[15,12,0]]}},
    "travel_time_matrix_data": {"data": {"0": [[0,10,15],[10,0,12],[15,12,0]]}},
    "task_data": {"task_locations": [1, 2], "demand": [[10, 20]], "task_time_windows": [[0,100],[0,100]], "service_times": [5, 5]},
    "fleet_data": {"vehicle_locations": [[0, 0]], "capacities": [[50]], "vehicle_time_windows": [[0, 200]]},
    "solver_config": {"time_limit": 5}
}
r = requests.post(f"{SERVER}/cuopt/request", json=payload, headers=HEADERS)
req_id = r.json()["reqId"]
# 查询:GET /cuopt/solution/{req_id}

术语说明:REST 与 Python API

Python API REST
order_locations 任务位置
set_order_time_windows() 任务时间段
service_times 服务时间

请使用travel_time_matrix_data(而非 transit_time_matrix_data)。容量应为[[50, 50]],而非[[50], [50]]。

调试 (422 / 有效载荷)

验证错误:请对照 OpenAPI(/cuopt.yaml)检查字段名称。 常见错误:transit_time_matrix_data→travel_time_matrix_data;各维度的容量应为[[50, 50]],而非每辆车的[[50], [50]]。记录失败请求的reqId和响应正文。

可运行的资产

从每个资产目录运行(服务器必须正在运行;若服务器不可达,脚本将以退出代码 0 结束)。均使用 Pythonrequests 模块:

  • assets/vrp_simple/ — 基础VRP(无时间窗口)
  • assets/vrp_basic/ — 带时间窗口的 VRP
  • assets/pdp_basic/ — 取件与送件
  • assets/lp_basic/ — 基于 REST 的 LP(CSR 格式)
  • assets/milp_basic/ — 通过 REST 接口实现的 MILP

概述请参见 assets/README.md。

问题升级

如需贡献代码或从源代码构建,请参阅开发者指南。

在 GitHub 上查看
---
name: cuopt-server-api-python
description: Deploy a cuOpt REST server and solve routing optimization problems using Python or curl.
license: Apache-2.0
---



# cuOpt Server — Deploy and client (Python/curl)

This skill covers **starting the server** and **client examples** (curl, Python). Server has no separate C API (clients can be any language).

## Start server

```bash
# Development
python -m cuopt_server.cuopt_service --ip 0.0.0.0 --port 8000

# Docker
docker run --gpus all -d -p 8000:8000 -e CUOPT_SERVER_PORT=8000 \
  nvidia/cuopt:latest-cuda12.9-py3.13
```

## Verify

```bash
curl http://localhost:8000/cuopt/health
```

## Workflow

1. POST to `/cuopt/request` → get `reqId`
2. Poll `/cuopt/solution/{reqId}` until solution ready
3. Parse response

## Python client (routing)

```python
import requests, time
SERVER = "http://localhost:8000"
HEADERS = {"Content-Type": "application/json", "CLIENT-VERSION": "custom"}
payload = {
    "cost_matrix_data": {"data": {"0": [[0,10,15],[10,0,12],[15,12,0]]}},
    "travel_time_matrix_data": {"data": {"0": [[0,10,15],[10,0,12],[15,12,0]]}},
    "task_data": {"task_locations": [1, 2], "demand": [[10, 20]], "task_time_windows": [[0,100],[0,100]], "service_times": [5, 5]},
    "fleet_data": {"vehicle_locations": [[0, 0]], "capacities": [[50]], "vehicle_time_windows": [[0, 200]]},
    "solver_config": {"time_limit": 5}
}
r = requests.post(f"{SERVER}/cuopt/request", json=payload, headers=HEADERS)
req_id = r.json()["reqId"]
# Poll: GET /cuopt/solution/{req_id}
```

## Terminology: REST vs Python API

| Python API | REST |
|------------|------|
| order_locations | task_locations |
| set_order_time_windows() | task_time_windows |
| service_times | service_times |

Use `travel_time_matrix_data` (not transit_time_matrix_data). Capacities: `[[50, 50]]` not `[[50], [50]]`.

## Debugging (422 / payload)

**Validation errors:** Check field names against OpenAPI (`/cuopt.yaml`). Common mistakes: `transit_time_matrix_data` → `travel_time_matrix_data`; capacities per dimension `[[50, 50]]` not per vehicle `[[50], [50]]`. Capture `reqId` and response body for failed requests.

## Runnable assets

Run from each asset directory (server must be running; scripts exit 0 if server unreachable). All use Python `requests`:

- [assets/vrp_simple/](assets/vrp_simple/) — Basic VRP (no time windows)
- [assets/vrp_basic/](assets/vrp_basic/) — VRP with time windows
- [assets/pdp_basic/](assets/pdp_basic/) — Pickup and delivery
- [assets/lp_basic/](assets/lp_basic/) — LP via REST (CSR format)
- [assets/milp_basic/](assets/milp_basic/) — MILP via REST

See [assets/README.md](assets/README.md) for overview.

## Escalate

For contribution or build-from-source, see the developer skill.

安装 cuopt-server-api-python

下载技能文件并将其解压到 .claude/skills/ 目录中。

下载ZIP

克隆仓库并复制技能文件到您的项目中。

git clone https://github.com/NVIDIA/skills/tree/main/skills/cuopt-server-api-python # Copy SKILL.md to your .claude/skills/ directory

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