Files
tono/docs/testing.md

3.8 KiB
Raw Blame History

Testing

Running tests

# Run all tests
python -m pytest -q

# Run with coverage report
python -m pytest -q --cov=backend --cov-report=term-missing

# Run a single test file
python -m pytest tests/node_tests/gaussian_filter.py -v

# Run a single test by name
python -m pytest tests/test_grains.py::test_threshold_otsu_bimodal -v

The test suite is configured in pytest.ini at the repo root. All tests under tests/ are collected automatically, with the exception of private files (names starting with _).


Test structure

tests/
  node_tests/          # One file per node or node group
    _shared.py         # Shared helpers (not collected as tests)
    gaussian_filter.py
    fft_2d.py
    ...
  test_grains.py       # Integration tests
  test_fft.py
  test_session_runtime.py
  test_frontend_build.py

tests/node_tests/ contains per-node unit tests. Each file exercises a single node class or closely related group using the execution engine. Files are auto-collected by pytest; files whose names start with _ are excluded.

tests/ (top level) contains broader integration tests that cut across multiple nodes or test server-level behaviour.


Writing tests

Imports

import numpy as np
import backend.nodes          # registers all built-in nodes as a side-effect
from backend.execution import ExecutionEngine
from tests.node_tests._shared import make_field

import backend.nodes must appear before any test that uses a built-in node, because node registration happens at import time via @register_node.

The make_field helper

from tests.node_tests._shared import make_field

# Default: 64×64 random field, xreal=yreal=1e-6 m, units "m"/"m"
field = make_field()

# Custom shape and physical size
field = make_field(shape=(128, 256), xreal=5e-6, yreal=5e-6)

# Custom data
field = make_field(data=np.zeros((32, 32)))

Executing a node

Use the ExecutionEngine with the prompt format:

def test_my_node():
    engine = ExecutionEngine()
    prompt = {
        "1": {
            "class_type": "GaussianFilter",
            "inputs": {
                "field": make_field(),   # pass objects directly in tests
                "sigma": 1.5,
            },
        }
    }
    outputs = engine.execute(prompt)
    result = outputs["1"][0]            # first output of node "1"
    assert result.data.shape == (64, 64)

Outputs are returned as a dict mapping node id → tuple of output values, in the same order as OUTPUTS.

Linking nodes

To chain nodes, use a [node_id, slot_index] link in the inputs dict:

prompt = {
    "1": {"class_type": "GaussianFilter", "inputs": {"field": make_field(), "sigma": 1.5}},
    "2": {"class_type": "PlaneLevelField", "inputs": {"field": ["1", 0]}},
}
outputs = engine.execute(prompt)
result = outputs["2"][0]

Testing your own node class directly

You can also instantiate and call a node class directly without the engine:

from backend.node_registry import register_node
from backend.data_types import DataField

def test_process_directly():
    field = make_field()
    node = MyNode()
    result, = node.process(field=field, sigma=2.0)
    assert isinstance(result, DataField)

Assertions on DataField

result = outputs["1"][0]

assert isinstance(result, DataField)
assert result.data.shape == (64, 64)
assert result.si_unit_z == "m"
assert np.isfinite(result.data).all()

# Physical dimensions are preserved by field.replace()
assert result.xreal == field.xreal
assert result.yreal == field.yreal

Coverage

Coverage is configured in pyproject.toml under [tool.coverage]. It measures the backend package and excludes backend/nodes/__init__.py.

python -m pytest -q --cov=backend --cov-report=term-missing

The report shows which lines are not exercised by any test.