hardbyte / hardbyte/python-evnex

API surface discovered from the official web app not yet wrapped

未关闭
#119 0 条评论 0 个 reaction 已指派 0 人 在 GitHub 查看
主要语言
Python
星标
13
派生
8
平均合并
5 小时 58 分钟
30 天内合并 PR
2

描述

Captured by driving the official web app (app.evnex.io) with network recording, alongside the endpoints the library already wraps. Response shapes verified against a live account.

## Unwrapped endpoints

- `GET /v2/apps/organisations/{org}/locations` — org locations with address, coordinates, ICP number/retailer/distributor details, timezone, and (via `included`) full charge point objects. A natural `get_org_locations()` + schema.
- `GET /organisations/{org}/summary/status` — connector-state counts (`available/charging/disabled/faulted/occupied/offline/reserved`) under `data.attributes.connectors`. Note the library currently wraps the older `/v2/apps/...` variant with a flat shape; the app uses this newer one.
- `GET /v2/apps/organisations/{org}/tokens` — RFID/charge tokens (403 on a Free-tier org, so schema unknown; likely paid orgs only).

## App-only commands observed (not captured, not invoked)

The charge point page exposes Charge / Unlock / Disable / **Reload charge point** buttons. Unlock/availability are already wrapped; "reload" (reboot) is not — likely `POST /charge-points/{id}/commands/...`. Worth capturing the exact command name before wrapping.

## Also noted

- The app authenticates with a different Cognito app client id than the library's; both work against the same API.
- An unauthenticated `cognito-identity` federated call fails 400 and is retried silently by the app — not needed for API access.

贡献指南

这个仓库没有索引到贡献指南

调研方向

Start by reading the existing organization location and status wrappers and their schemas, then compare them with the captured routes and live response shapes described here. Verify the paid-tier token response before handling it, and capture the reload command separately; done means the confirmed endpoints and schemas are wrapped without guessing the unobserved command.

由索引模型根据 Issue 内容生成。

评估

技术栈
python
领域
api, backend
Issue 类型
功能
难度
4/5
预计耗时
3-5 天
活跃度
冷清
描述清晰度
基本清楚
新手友好度
48/100

把新 issue 发到你的邮箱

精选适合新手参与的 GitHub issue 摘要。