Orchestration Python

Workflows are written in Artificial’s Orchestration Python (OP), a strict subset of the Python programming language.

✅ Orchestration Python supports the following:

• Most built-in functions

• math

• enum: Enum

• typing: List, Dict, Set

• dataclasses-json and json: these are imported, but wfgen will not try to load or introspect these.

• dataclasses: @dataclass and field() (including the default_factory parameter)

• Any module that is parseable by wfgen

• Unpacking return values - e.g. foo, bar = baz()

❌ Orchestration Python does not support the following:

• del

• async for and async with

• raise

• assert

• global

• nonlocal

• lambda

• set literals

• list, dict, and set comprehensions and generator expressions

• yield and yield from

• tuples (except unpacking return values as noted above)

• the * and ** splat operators

• the @ operator

• range

• instantiating plain Python classes (dataclasses: are supported)

Finally, most of the Python object model is unsupported. You can access fields of dataclasses and elements of lists, but you cannot call methods on objects.