ALEKSANDER DUDEK

// Real-time event window — Supabase + TanStack Query + Zod
const useUpcomingEvents = (hours: number) =>
  useQuery({
    queryKey: ['events', hours],
    queryFn: async () => {
      const { data, error } = await supabase
        .from('events')
        .select('*, venue(*), categories(*)')
        .gte('starts_at', new Date().toISOString())
        .lte('starts_at', addHours(new Date(), hours).toISOString())
        .order('starts_at');
      if (error) throw error;
      return EventSchema.array().parse(data);
    },
    staleTime: 60_000,
  });

# LangGraph agentic RAG — router → retrieve → generate → critic
graph = StateGraph(RAGState)
graph.add_node("router",   router_node)
graph.add_node("retrieve", retrieve_node)
graph.add_node("generate", generate_node)
graph.add_node("critic",   critic_node)
graph.add_conditional_edges(
    "critic",
    lambda s: "generate" if s.quality < THRESHOLD and s.iter < MAX_ITERS else END,
    {"generate": "generate", END: END},
)

# Plan → Execute → Reflect loop (up to 3 replan cycles)
async def run(self, question: str) -> str:
    plan = await self.planner.plan(question)
    for _ in range(MAX_REPLANS):
        results = await self.executor.run(plan)
        verdict = await self.reflector.reflect(results)
        if verdict.sufficient:
            return verdict.answer
        plan = await self.planner.replan(verdict.gaps)
    raise BudgetExceeded()

-- Hybrid RRF: semantic + full-text fused by rank
WITH semantic AS (
  SELECT id, ROW_NUMBER() OVER (ORDER BY embedding <=> $1) rk
  FROM verses ORDER BY embedding <=> $1 LIMIT 60
), lexical AS (
  SELECT id, ROW_NUMBER() OVER (ORDER BY ts_rank(fts, q) DESC) rk
  FROM verses, websearch_to_tsquery($2) q WHERE fts @@ q LIMIT 60
)
SELECT id, SUM(1.0/(60+rk)) score
FROM (SELECT * FROM semantic UNION ALL SELECT * FROM lexical) t
GROUP BY id ORDER BY score DESC LIMIT $3

// Game state machine — lobby → countdown → playing ⇄ round_end
class GameSession {
  private phase: Phase = 'lobby';
  private scores: Record<string, number> = {};

  async handleGuess(playerId: string, word: string): Promise<void> {
    const { correct, points } = this.board.evaluate(word);
    if (correct) {
      this.scores[playerId] += points + this.timeBonus();
      this.broadcast({ type: 'round_won', scores: this.scores });
      await this.nextRound();
    }
  }
}

// Reactive sensor stream — auto-reconnect on unmount
const useSensorData = (id: string) => {
  const [state, setState] = useState<SensorData | null>(null);

  useEffect(() => {
    const ws = new WebSocket(`/api/sensor/${id}`);
    ws.onmessage = ({ data }) =>
      setState(JSON.parse(data) as SensorData);
    return () =>  ws.close();
  }, [id]);

  return state;
};

# Band-power extraction via Welch PSD — 10 Hz push
def compute_band_powers(self, ch: str) -> dict[str, float]:
    freq, psd = welch(self._buf[ch], fs=256, nperseg=256)
    return {
        band: float(np.trapz(
            psd[(freq >= lo) & (freq < hi)],
            freq[(freq >= lo) & (freq < hi)]))
        for band, (lo, hi) in FREQ_BANDS.items()
    }

// GraphQL federation — 4 REST APIs unified in one query
const resolvers = {
  Query: {
    galaxyReport: async (_, __, { dataSources }) => ({
      civilizations: await dataSources.restCountries.getAll(),
      transport    : await dataSources.spaceX.getLaunches(),
      fauna        : await dataSources.pokeApi.getAll(),
      atmosphere   : await dataSources.openMeteo.getCurrent(),
    }),
  },
};

// Provider-agnostic structured completion
export async function completeStructured<T>(
  system: string,
  prompt: string,
  schema: ZodSchema<T>
): Promise<T> {
  const { content } = await anthropic.messages.create({
    model: 'claude-3-5-sonnet-20241022',
    system, max_tokens: 1024,
    messages: [{ role: 'user', content: prompt }],
  });
  return schema.parse(JSON.parse(content[0].text));
}

// Coverage gates + path aliases — CI fails below threshold
export default defineConfig({
  plugins: [react()],
  resolve: { alias: { '@': path.resolve(__dirname, './src') } },
  test: {
    environment: 'jsdom',
    coverage: {
      provider: 'v8',
      thresholds: {
        branches: 70, functions: 70, lines: 70,
      },
    },
  },
});

# Smart keyword extraction with multi-strategy fallback
def extract_keywords(sentence: str) -> list[str]:
    stop = {'a', 'an', 'the', 'is', 'in', 'over', 'with'}
    return [w.strip('.,!')
            for w in sentence.lower().split()
            if w.strip('.,!') not in stop][:4]

results = retriever.process_script_scenes(script_sentences)

# Batch URL_UPDATED via Google Indexing API
def submit_urls(urls: list[str], service) -> None:
    for url in urls:
        service.urlNotifications().publish(
            body={"url": url, "type": "URL_UPDATED"}
        ).execute()
        print(f"✓ Indexed: {url}")