Road to State Machines Part VI - But What If Independent Work Finishes in a Different Order?
Coordinate independent carrier and inventory checks with correlated results, async task groups, and explicit recovery boundaries.
Articles and notes on software design, Python, and the web.
Coordinate independent carrier and inventory checks with correlated results, async task groups, and explicit recovery boundaries.
How lifecycle state summarizes an order’s past and determines its allowed next actions, and why recording status alone cannot enforce correctness.
Enforce valid order states, invariants, preconditions, and permitted transitions with Python checks that reject invalid changes before mutation.
Represent an order lifecycle as an explicit finite state machine using Python enums and a shared transition table for operations and available actions.
Use guards and supporting data to control transitions in an extended finite state machine without multiplying lifecycle states.
Model asynchronous work with waiting states, commands, events, correlation identifiers, timeouts, and a queue that serializes local reactions.