Complete the code to define a bounded context in a microservices architecture.
class [1]Context: def __init__(self): self.services = []
The User context represents a bounded context related to user management in microservices.
Complete the code to show how two bounded contexts communicate via an API gateway.
class APIGateway: def __init__(self): self.contexts = [[1]Context(), OrderContext()]
The UserContext is included to represent one bounded context communicating through the API gateway.
Fix the error in the code that incorrectly maps bounded contexts.
def map_contexts(): contexts = ['User', 'Order', 'Payment'] for context in contexts: if context == [1]: print('Handle user context')
The comparison must be with the string 'User' to match the list elements correctly.
Fill both blanks to correctly define a context map with upstream and downstream contexts.
context_map = {
'Order': {'upstream': [1], 'downstream': [2]
}The Order context depends upstream on User and downstream on Payment contexts.
Fill all three blanks to complete the code that models a shared kernel between two bounded contexts.
shared_kernel = {
[1]: ['Address', 'ContactInfo'],
[2]: ['Address', 'PaymentTerms'],
[3]: ['Address']
}The UserContext and OrderContext share entities like Address in the SharedEntities kernel.