Qwen3 Series Code-First Enterprise AI

from fastapi import FastAPI, HTTPException, Depends
from sqlalchemy.orm import Session
from typing import List, Optional
import asyncio
from datetime import datetime

app = FastAPI(title="Enterprise API")

@app.post("/api/v1/process-batch")
async def process_batch_data(
    batch_id: str,
    items: List[dict],
    priority: Optional[str] = "normal",
    db: Session = Depends(get_db)
):
    """
    Process batch data with automatic optimization
    and parallel execution for large datasets
    """
    # Validate batch size
    if len(items) > 10000:
        # Automatically split into chunks
        chunks = [items[i:i+1000] 
                  for i in range(0, len(items), 1000)]
        
        # Process in parallel
        tasks = [process_chunk(chunk, batch_id, db) 
                 for chunk in chunks]
        results = await asyncio.gather(*tasks)
        
        return {
            "batch_id": batch_id,
            "processed": sum(r["count"] for r in results),
            "duration": calculate_duration(),
            "optimization": "parallel_processing"
        }
    
    # Standard processing for smaller batches
    return await process_standard(items, batch_id, db)

interface DataGridProps {
  data: T[];
  columns: ColumnDef[];
  onSort?: (field: keyof T, order: 'asc' | 'desc') => void;
  virtualized?: boolean;
  pageSize?: number;
}

export function DataGrid>({
  data,
  columns,
  onSort,
  virtualized = true,
  pageSize = 50
}: DataGridProps) {
  const [sortConfig, setSortConfig] = useState<{
    field: keyof T;
    order: 'asc' | 'desc';
  } | null>(null);
  
  const virtualizer = useVirtualizer({
    count: data.length,
    getScrollElement: () => parentRef.current,
    estimateSize: () => 48,
    overscan: 5,
  });
  
  const sortedData = useMemo(() => {
    if (!sortConfig) return data;
    
    return [...data].sort((a, b) => {
      const aVal = a[sortConfig.field];
      const bVal = b[sortConfig.field];
      
      return sortConfig.order === 'asc' 
        ? aVal > bVal ? 1 : -1
        : aVal < bVal ? 1 : -1;
    });
  }, [data, sortConfig]);
  
  // Render optimized virtual grid...

-- Optimized query with automatic index suggestions
WITH user_metrics AS (
  SELECT 
    u.user_id,
    u.created_at,
    COUNT(DISTINCT s.session_id) as session_count,
    SUM(s.duration) as total_duration,
    AVG(s.duration) as avg_duration,
    FIRST_VALUE(s.started_at) OVER (
      PARTITION BY u.user_id 
      ORDER BY s.started_at
    ) as first_session
  FROM users u
  LEFT JOIN sessions s ON u.user_id = s.user_id
  WHERE s.started_at >= CURRENT_DATE - INTERVAL '30 days'
  GROUP BY u.user_id, u.created_at
),
engagement_score AS (
  SELECT 
    user_id,
    CASE 
      WHEN session_count > 20 AND avg_duration > 300 THEN 'high'
      WHEN session_count > 10 THEN 'medium'
      ELSE 'low'
    END as engagement_level
  FROM user_metrics
)
SELECT * FROM engagement_score
-- Suggested indexes:
-- CREATE INDEX idx_sessions_user_date ON sessions(user_id, started_at);
-- CREATE INDEX idx_sessions_duration ON sessions(duration);

use tokio::sync::{mpsc, RwLock};
use std::sync::Arc;
use serde::{Deserialize, Serialize};

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CacheEntry {
    value: T,
    expires_at: i64,
    access_count: u64,
}

pub struct DistributedCache {
    storage: Arc>>>,
    capacity: usize,
    eviction_tx: mpsc::Sender,
}

impl DistributedCache {
    pub async fn get(&self, key: &str) -> Option {
        let mut storage = self.storage.write().await;
        
        if let Some(entry) = storage.get_mut(key) {
            if entry.expires_at > chrono::Utc::now().timestamp() {
                entry.access_count += 1;
                return Some(entry.value.clone());
            } else {
                // Async cleanup of expired entry
                let _ = self.eviction_tx.send(key.to_string()).await;
            }
        }
        None
    }
    
    pub async fn set(&self, key: String, value: T, ttl: i64) {
        // LRU eviction if at capacity
        if self.storage.read().await.len() >= self.capacity {
            self.evict_least_recently_used().await;
        }
        // Implementation continues...
    }
}