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 pyungo
graph = 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/