hardbyte / hardbyte/python-evnex
API surface discovered from the official web app not yet wrapped
- 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
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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.
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评估
- 技术栈
- python
- 领域
- api, backend
- Issue 类型
- 功能
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- 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