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Harbin, China

Building Agent-resilient Architecture

Github Repository

Functions & OOP​

Decorators - Dynamic Logic​

Modify code behaviour without changing the source code -> for logging, auth and timing:

def log_call(func):
def wrapper(*args):
print(f"INFO :: Calling {func.__name__}")
return func(*args)
return wrapper

@log_call
def get_data():
return "Success"

Context Managers​

Use with statements to ensure sockets and files close properly.

Generators​

Yield data lazily to save memory during large iterations.

Error Bubbling​

Strategic use of try/except/finally for resilient services.

OOP: Class Inheritance​

class BaseService:
def __init__(self):
self.active = True

class CloudService(BaseService):
def sync(self):
# Child specific Logic
pass

Data Layer​