pyungo is a lightweight library to link a set of dependent functions together, and execute them in an ordered manner.
pyungo is built around Graphs and Nodes used in a
DAG
(Directed Acyclic Graph). A Node represent a function being
run with a defined set of inputs and returning one or several
outputs. A Graph is a collection of Nodes where data
can flow in an logical manner, the output of one node serving
as input of another.
>> pip install pyungograph = Graph()
@graph.register()
def f_my_function_2(d, a):
e = d - a
return e
@graph.register()
def f_my_function_1(c):
d = c / 10
return d
@graph.register()
def f_my_function_3(a, b):
c = a + b
return c
res = graph.calculate(data={'a': 2, 'b': 3})
print(res)pyungo is registering the functions at import time. It then
resolve the DAG and figure out the sequence at which the
functions have to be run per their inputs / outputs. In this
case, it will be function 3 then 1 and finally 2.
The ordered Graph is run with calculate, with the given
data. It returns the output of the last function being
run (e), but all intermediate results are also available
in the graph instance.
The result will be (a + b) / 10 - a = -1.5
- Documentation: https://cedricleroy.github.io/pyungo/
- Releases: https://pypi.org/project/pyungo/
- Tests: https://circleci.com/gh/cedricleroy/pyungo/