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
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 articleGET /health— JSON: whether today's jokes exist / retries exhausted