58 lines
1.6 KiB
Markdown
58 lines
1.6 KiB
Markdown
# New API Analytics
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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.
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## Requirements
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- Bun for local development and tests.
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- Node.js 20 for the production Docker image.
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- PostgreSQL database with New API tables described in `docs/database.md`.
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- `PG_CONNECTION_STRING` set to a PostgreSQL connection string.
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## Local Development
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```bash
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bun install
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bun run dev
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```
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Open `http://localhost:3000`.
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## Verification
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```bash
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bun test
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bun run lint
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bun run build
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```
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`bun test` covers parser helpers, metric conversion, query behavior, cache behavior, theme helpers, and selected API route guardrails.
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## Configuration
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Create an environment file or export:
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```bash
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PG_CONNECTION_STRING=postgres://user:password@host:5432/database
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```
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The app uses this variable in `lib/db.ts` to create a `pg` connection pool.
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## Deployment
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The included Dockerfile builds a standalone Next.js output and starts `server.js` on port `8019`.
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```bash
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docker compose up -d --build
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```
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`docker-compose.yml` expects `.env.production` and an external Docker network named `sinobridge`.
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## Operational Notes
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- API query parameters are validated at the route layer. Invalid integers or reversed date ranges return HTTP 400.
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- Ranking limits are capped at 100 rows per request.
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- Log page size is capped at 200 rows per request.
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- Query results are cached in-process for 120 seconds with a 500-entry cap.
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- Metric definitions and quota conversion are documented in `docs/metrics.md`.
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