Home

napy

NapY is an open-source testing tool for Python that lets developers write test cases in YAML rather than in Python code. It focuses on describing inputs, expected outputs, and the results of running Python functions or methods, enabling quick specification of simple and data-driven tests.

A NapY test suite is a YAML document that defines one or more tests. Each test typically

Usage and workflow: Install via pip install napy, create a YAML file describing tests, and run napy

Limitations and notes: NapY emphasizes simplicity for writing small tests but may not cover all testing needs

See also: PyYAML, Python testing frameworks, YAML-based testing tools.

specifies
the
target
module
and
function,
a
set
of
input
values,
and
the
expected
result,
along
with
optional
metadata
such
as
a
test
name
or
description.
NapY
runs
the
code
and
compares
the
actual
result
against
the
expected
value
defined
in
the
file,
reporting
mismatches
with
a
diff-style
display.
It
supports
nested
data
structures
and
various
data
types.
against
the
file
from
the
command
line.
NapY
will
import
the
specified
Python
code,
execute
the
tests,
and
summarize
the
outcome,
including
failures
and
error
messages.
It
can
be
integrated
into
lightweight
testing
workflows
and
can
complement
other
Python
testing
frameworks.
of
large
projects.
It
relies
on
YAML
parsing
for
test
input
and
may
require
careful
structuring
to
maintain
readability
and
maintainability.
As
with
other
testing
tools,
it
is
best
used
as
part
of
a
broader
testing
strategy.