Cache Management

from hopx_ai import Sandbox

sandbox = Sandbox.create(template="code-interpreter")
cache = sandbox.cache  # Lazy-loaded

cache.stats(*, timeout=None) -> Dict[str, Any]

stats = sandbox.cache.stats()
cache_data = stats['cache']
print(f"Cache hits: {cache_data['total_hits']}")
print(f"Cache size: {cache_data['size']} / {cache_data['max_size']}")

cache.clear(*, timeout=None) -> Dict[str, Any]

# Check cache size before clearing
stats_before = sandbox.cache.stats()
print(f"Cache size before: {stats_before['cache']['size']}")

# Clear cache
sandbox.cache.clear()

# Check cache size after clearing
stats_after = sandbox.cache.stats()
print(f"Cache size after: {stats_after['cache']['size']}")

from hopx_ai import Sandbox

sandbox = Sandbox.create(template="code-interpreter")

# Get cache statistics
stats = sandbox.cache.stats()
cache_data = stats['cache']

print(f"Total cache hits: {cache_data['total_hits']}")
print(f"Current size: {cache_data['size']}")
print(f"Max size: {cache_data['max_size']}")
print(f"TTL: {cache_data['ttl']} seconds")

sandbox.kill()

from hopx_ai import Sandbox

sandbox = Sandbox.create(template="code-interpreter")

# Execute code (may be cached)
result1 = sandbox.run_code("print('Hello')")

# Clear cache
sandbox.cache.clear()
print("Cache cleared")

# Execute again (not cached)
result2 = sandbox.run_code("print('Hello')")

sandbox.kill()

from hopx_ai import Sandbox

sandbox = Sandbox.create(template="code-interpreter")

# Check initial cache state
initial_stats = sandbox.cache.stats()
print(f"Initial cache size: {initial_stats['cache']['size']}")

# Run multiple executions
for i in range(5):
    sandbox.run_code(f"print('Execution {i}')")

# Check cache after executions
final_stats = sandbox.cache.stats()
print(f"Final cache size: {final_stats['cache']['size']}")
print(f"Cache hits: {final_stats['cache']['total_hits']}")

sandbox.kill()