# Wiki Jokes

5 jokes every day, generated by an LLM from Wikipedia's *Today's Featured Article*.

## How it works

- A scheduled job (06:00 Europe/Copenhagen, plus immediately on cold start) fetches
  the day's featured article from the Wikipedia REST feed and asks any
  OpenAI-compatible endpoint for exactly 5 jokes as JSON.
- Jokes are stored in SQLite (`/data/jokes.db`) and served instantly — no LLM call
  at request time.
- On failure: retries every 15 min, up to 3 attempts per day. If still failing,
  the page keeps showing the latest batch with a "stale" note.

## Run

```bash
cp .env.example .env   # set OPENAI_BASE_URL / OPENAI_MODEL / OPENAI_API_KEY
docker compose up -d --build
# open http://localhost:8080
```

## Configuration (env vars)

| Var | Default | Purpose |
|---|---|---|
| `OPENAI_BASE_URL` | `https://api.openai.com/v1` | OpenAI-compatible endpoint (e.g. llamaswap) |
| `OPENAI_MODEL` | `gpt-4o-mini` | Model name |
| `OPENAI_API_KEY` | *(empty)* | Bearer token (optional for llamaswap) |
| `GENERATE_HOUR` / `GENERATE_MINUTE` | `6` / `0` | Daily generation time |
| `MAX_ATTEMPTS` | `3` | Retry budget per burst |
| `RETRY_MINUTES` | `15` | Retry interval |
| `SLOW_RETRY_MINUTES` | `60` | Cooldown after budget exhausted, then retries resume |
| `WIKIPEDIA_LANG` | `en` | Wikipedia language for the feed |
| `DB_PATH` | `/data/jokes.db` | SQLite location (volume-mounted) |

## Endpoints

- `GET /` — today's 5 jokes + link to the featured article
- `GET /health` — JSON: whether today's jokes exist / retries exhausted