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# Nexus-generated API endpoint with comprehensive optimization
from typing import Optional, Dict, Any, List
import asyncio
from datetime import datetime
from arkos_nexus import auto_optimize, cache_strategy, monitoring
@auto_optimize(performance=True, security=True, monitoring=True)
@monitoring.track_performance
async def process_user_analytics(
user_id: str,
analytics_data: Dict[str, Any],
batch_size: int = 100
) -> Dict[str, Any]:
"""
Process user analytics with automatic optimization and monitoring.
Generated by Nexus with built-in caching, validation, and performance tracking.
"""
# Input validation with custom rules
validated_data = await validate_analytics_input(analytics_data)
# Check cache for recent results
cache_key = f"analytics_{user_id}_{hash(str(analytics_data))}"
cached_result = await cache_strategy.get(cache_key)
if cached_result and not _cache_expired(cached_result['timestamp']):
monitoring.increment('cache_hit')
return cached_result['data']
# Process in optimized batches
processing_tasks = []
data_chunks = _chunk_data(validated_data, batch_size)
for chunk in data_chunks:
task = _process_analytics_chunk(user_id, chunk)
processing_tasks.append(task)
# Execute with concurrency control
results = await asyncio.gather(*processing_tasks, return_exceptions=True)
# Aggregate results with error handling
aggregated_result = _aggregate_results(results)
# Cache successful results
if aggregated_result['success']:
await cache_strategy.set(
cache_key,
{
'data': aggregated_result,
'timestamp': datetime.utcnow()
},
ttl=3600
)
monitoring.increment('processing_complete')
return aggregated_resultAutonomous Testing Revolution
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