# New API Analytics

Internal analytics dashboard for New API usage logs. The app reads PostgreSQL log data and visualizes calls, token consumption, model usage, channel usage, per-user aggregation, and raw request logs.

## Requirements

- Bun for local development and tests.
- Node.js 20 for the production Docker image.
- PostgreSQL database with New API tables described in `docs/database.md`.
- `PG_CONNECTION_STRING` set to a PostgreSQL connection string.

## Local Development

```bash
bun install
bun run dev
```

Open `http://localhost:3000`.

## Verification

```bash
bun test
bun run lint
bun run build
```

`bun test` covers parser helpers, metric conversion, query behavior, cache behavior, theme helpers, and selected API route guardrails.

## Configuration

Create an environment file or export:

```bash
PG_CONNECTION_STRING=postgres://user:password@host:5432/database
```

The app uses this variable in `lib/db.ts` to create a `pg` connection pool.

## Deployment

The included Dockerfile builds a standalone Next.js output and starts `server.js` on port `8019`.

```bash
docker compose up -d --build
```

`docker-compose.yml` expects `.env.production` and an external Docker network named `sinobridge`.

## Operational Notes

- API query parameters are validated at the route layer. Invalid integers or reversed date ranges return HTTP 400.
- Ranking limits are capped at 100 rows per request.
- Log page size is capped at 200 rows per request.
- Query results are cached in-process for 120 seconds with a 500-entry cap.
- Metric definitions and quota conversion are documented in `docs/metrics.md`.