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Merge pull request #197 from NeuralEnsemble/feat/fix-morphs-without-m…
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…odifying-object

fix referenced morphs/biophysics: load from included files, add tests, add some error checking
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pgleeson authored Aug 13, 2024
2 parents c044eee + 81df7eb commit 2e17bdc
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2 changes: 2 additions & 0 deletions .pre-commit-config.yaml
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Expand Up @@ -5,7 +5,9 @@ repos:
rev: v4.4.0
hooks:
- id: trailing-whitespace
exclude: NeuroML.*xsd
- id: end-of-file-fixer
exclude: NeuroML.*xsd
- id: check-added-large-files
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.4.1
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129 changes: 129 additions & 0 deletions neuroml/test/test_utils.py
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Expand Up @@ -7,14 +7,17 @@
Copyright 2023 NeuroML contributors
"""

import os
import unittest

import neuroml
from neuroml.utils import (
component_factory,
fix_external_morphs_biophys_in_cell,
get_relative_component_path,
print_hierarchy,
)
from neuroml.writers import NeuroMLWriter


class UtilsTestCase(unittest.TestCase):
Expand Down Expand Up @@ -55,3 +58,129 @@ def test_networkx_hier_graph(self):
path, graph = get_relative_component_path("Input", "Instance")
self.assertIsNotNone(graph)
self.assertEqual(path, "../Population/Instance")

def test_fix_external_morphs_biophys_in_cell(self):
"""Test fix_external_morphs_biophys_in_cell function"""
# document that includes cell and morphology with cell referring to
# morphology
nml_doc = component_factory("NeuroMLDocument", id="testdoc")
nml_doc.add("Morphology", id="test_morph_1", validate=False)
test_cell_1 = nml_doc.add(
"Cell", id="test_cell_1", morphology_attr="test_morph_1"
)
test_cell_1.morphology = None

fix_external_morphs_biophys_in_cell(nml_doc)
self.assertIsNotNone(nml_doc.cells[0].morphology)
self.assertIsNone(nml_doc.cells[0].morphology_attr)
self.assertEqual(nml_doc.cells[0].morphology.id, "test_morph_1")
print(nml_doc)

# check that a key error is raised if the referenced morph cannot be
# found
nml_doc_2 = component_factory("NeuroMLDocument", id="testdoc")
nml_doc_2.add("Morphology", id="test_morph_5", validate=False)
test_cell_2 = nml_doc_2.add(
"Cell", id="test_cell_1", morphology_attr="test_morph_1"
)
test_cell_2.morphology = None

with self.assertRaises(KeyError):
fix_external_morphs_biophys_in_cell(nml_doc_2)
print(nml_doc_2)

def test_fix_external_morphs_biophys_in_cell_2(self):
"""Test fix_external_morphs_biophys_in_cell function"""
# document that includes cell and biophysical properties with cell
# referring to biophysical properties
nml_doc = component_factory("NeuroMLDocument", id="testdoc")
nml_doc.add("BiophysicalProperties", id="test_biophys_1", validate=False)
test_cell_1 = nml_doc.add(
"Cell", id="test_cell_1", biophysical_properties_attr="test_biophys_1"
)
test_cell_1.biophysical_properties = None

fix_external_morphs_biophys_in_cell(nml_doc)
self.assertIsNotNone(nml_doc.cells[0].biophysical_properties)
self.assertIsNone(nml_doc.cells[0].biophysical_properties_attr)
self.assertEqual(nml_doc.cells[0].biophysical_properties.id, "test_biophys_1")
print(nml_doc)

# check that a key error is raised if the referenced biophysical
# property cannot be found
nml_doc_2 = component_factory("NeuroMLDocument", id="testdoc")
nml_doc_2.add("BiophysicalProperties", id="test_biophys_5", validate=False)
test_cell_2 = nml_doc_2.add(
"Cell", id="test_cell_1", biophysical_properties_attr="test_biophys_1"
)
test_cell_2.biophysical_properties = None
print(nml_doc_2)

with self.assertRaises(KeyError):
fix_external_morphs_biophys_in_cell(nml_doc_2)

def test_fix_external_morphs_biophys_in_cell_3(self):
"""Test fix_external_morphs_biophys_in_cell function"""
filename = "nml_morph_doc.nml"
nml_doc = component_factory("NeuroMLDocument", id="testdoc")
nml_doc.add("Morphology", id="test_morph_1", validate=False)
NeuroMLWriter.write(nml_doc, file=filename)

# doc that includes
nml_doc_2 = component_factory("NeuroMLDocument", id="testdoc")
nml_doc_2.add("IncludeType", href=filename)
test_cell_1 = nml_doc_2.add(
"Cell", id="test_cell_1", morphology_attr="test_morph_1"
)
test_cell_1.morphology = None

fix_external_morphs_biophys_in_cell(nml_doc_2)
self.assertIsNotNone(nml_doc_2.cells[0].morphology)
self.assertIsNone(nml_doc_2.cells[0].morphology_attr)
self.assertEqual(nml_doc_2.cells[0].morphology.id, "test_morph_1")
print(nml_doc_2)
os.unlink(filename)

# doc that does not include, and should fail
nml_doc_3 = component_factory("NeuroMLDocument", id="testdoc")
test_cell_2 = nml_doc_3.add(
"Cell", id="test_cell_1", morphology_attr="test_morph_1"
)
test_cell_2.morphology = None
print(nml_doc_3)
with self.assertRaises(KeyError):
fix_external_morphs_biophys_in_cell(nml_doc_3)

def test_fix_external_morphs_biophys_in_cell_4(self):
"""Test fix_external_morphs_biophys_in_cell function"""
# document that includes cell and biophysical properties with cell
# referring to biophysical properties
filename = "nml_biophys_doc.nml"
nml_doc = component_factory("NeuroMLDocument", id="testdoc")
nml_doc.add("BiophysicalProperties", id="test_biophys_1", validate=False)
NeuroMLWriter.write(nml_doc, file=filename)

# doc that includes
nml_doc_2 = component_factory("NeuroMLDocument", id="testdoc")
nml_doc_2.add("IncludeType", href=filename)
test_cell_1 = nml_doc_2.add(
"Cell", id="test_cell_1", biophysical_properties_attr="test_biophys_1"
)
test_cell_1.biophysical_properties = None

fix_external_morphs_biophys_in_cell(nml_doc_2)
self.assertIsNotNone(nml_doc_2.cells[0].biophysical_properties)
self.assertIsNone(nml_doc_2.cells[0].biophysical_properties_attr)
self.assertEqual(nml_doc_2.cells[0].biophysical_properties.id, "test_biophys_1")
print(nml_doc_2)
os.unlink(filename)

# doc that does not include, and should fail
nml_doc_3 = component_factory("NeuroMLDocument", id="testdoc")
test_cell_2 = nml_doc_3.add(
"Cell", id="test_cell_1", biophysical_properties_attr="test_biophys_1"
)
test_cell_2.biophysical_properties = None
print(nml_doc_3)
with self.assertRaises(KeyError):
fix_external_morphs_biophys_in_cell(nml_doc_3)
119 changes: 107 additions & 12 deletions neuroml/utils.py
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Expand Up @@ -4,11 +4,13 @@
"""

import copy
import inspect
import logging
import os
import sys
import warnings
from typing import Any, Dict, Optional, Type, Union
from typing import Any, Dict, List, Optional, Set, Type, Union

import networkx

Expand All @@ -17,6 +19,9 @@

from . import loaders

logger = logging.getLogger(__name__)
logger.setLevel(logging.INFO)


def validate_neuroml2(file_name: str) -> None:
"""Validate a NeuroML document against the NeuroML schema specification.
Expand Down Expand Up @@ -310,18 +315,108 @@ def get_relative_component_path(
return (path, graph)


def fix_external_morphs_biophys_in_cell(nml2_doc: NeuroMLDocument) -> None:
"""
Only used in the case where a cell element has a morphology (or biophysicalProperties) attribute, as opposed to a
subelement morphology/biophysicalProperties. This will substitute the external element into the cell element for ease of access
def fix_external_morphs_biophys_in_cell(
nml2_doc: NeuroMLDocument, overwrite: bool = True
) -> NeuroMLDocument:
"""Handle externally referenced morphologies and biophysics in cells.
This is only used in the case where a cell element has a morphology (or
biophysicalProperties) attribute, as opposed to a subelement
morphology/biophysicalProperties. This will substitute the external element
into the cell element for ease of access
The referenced morphologies can be included in the same document directly,
or in other documents included using the "IncludeType". This function will
load the included documents and attempt to read referenced bits from them.
Note that if a cell already includes Morphology and BiophysicalProperties,
we just use those. Any references to other Morphology/BiophysicalProperties
elements will be ignored.
:param nml2_doc: NeuroML document
:type nml2_doc: neuroml.NeuroMLDocument
:param overwrite: toggle whether the document is overwritten or a deep copy
created
:type overwrite: bool
:returns: neuroml document
:raises KeyError: if referenced morphologies/biophysics cannot be found
"""
for cell in nml2_doc.cells:
if cell.morphology_attr != None:
ext_morph = nml2_doc.get_by_id(cell.morphology_attr)
cell.morphology = ext_morph
if cell.biophysical_properties_attr != None:
ext_bp = nml2_doc.get_by_id(cell.biophysical_properties_attr)
cell.biophysical_properties = ext_bp
if overwrite is False:
newdoc = copy.deepcopy(nml2_doc)
else:
newdoc = nml2_doc

# get a list of morph/biophys ids being referred to by cells
referenced_ids = []
for cell in newdoc.cells:
if cell.morphology_attr is not None:
if cell.morphology is None:
referenced_ids.append(cell.morphology_attr)
else:
logger.warning(
f"Cell ({cell}) already contains a Morphology, ignoring reference."
)
logger.warning("Please check/correct your cell description")
if cell.biophysical_properties_attr is not None:
if cell.biophysical_properties is None:
referenced_ids.append(cell.biophysical_properties_attr)
else:
logger.warning(
f"Cell ({cell}) already contains a BiophysicalProperties element, ignoring reference."
)
logger.warning("Please check/correct your cell description")

# load referenced ids from included files and store them in dicts
ext_morphs = {}
ext_biophys = {}
for inc in newdoc.includes:
incdoc = loaders.read_neuroml2_file(inc.href, verbose=False, optimized=True)
for morph in incdoc.morphology:
if morph.id in referenced_ids:
ext_morphs[morph.id] = morph
for biophys in incdoc.biophysical_properties:
if biophys.id in referenced_ids:
ext_biophys[biophys.id] = biophys

# also include morphs/biophys that are in the same document
for morph in newdoc.morphology:
if morph.id in referenced_ids:
ext_morphs[morph.id] = morph
for biophys in newdoc.biophysical_properties:
if biophys.id in referenced_ids:
ext_biophys[biophys.id] = biophys

# update cells by placing the morphology/biophys in them:
# if referenced ids are not found, throw errors
for cell in newdoc.cells:
if cell.morphology_attr is not None and cell.morphology is None:
try:
# TODO: do we need a deepcopy here?
cell.morphology = copy.deepcopy(ext_morphs[cell.morphology_attr])
cell.morphology_attr = None
except KeyError as e:
logger.error(
f"Morphology with id {cell.morphology_attr} was not found in included/external morphologies."
)
raise e

if (
cell.biophysical_properties_attr is not None
and cell.biophysical_properties is None
):
try:
# TODO: do we need a deepcopy here?
cell.biophysical_properties = copy.deepcopy(
ext_biophys[cell.biophysical_properties_attr]
)
cell.biophysical_properties_attr = None
except KeyError as e:
logger.error(
f"Biophysics with id {cell.biophysical_properties_attr} was not found in included/external biophysics."
)
raise e

return newdoc


def main():
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