import multiprocessing

from pathlib import Path

import sys

import os

import tempfile

import shutil

from typing import Dict

import warnings

import pytest_check as check

from collections import namedtuple

import filelock

sys.path = [

str(Path(__file__).parent.parent.parent.parent / "Examples/Scripts/Python/"),

str(Path(__file__).parent),

] + sys.path

import helpers

import helpers.hash_root

import pytest

import acts

import acts.examples

from acts.examples.odd import getOpenDataDetector, getOpenDataDetectorDirectory

from acts.examples.simulation import addParticleGun, EtaConfig, ParticleConfig

try:

import ROOT

ROOT.gSystem.ResetSignals()

except ImportError:

pass

u = acts.UnitConstants

class RootHashAssertionError(AssertionError):

def __init__(

self, file: Path, key: str, exp_hash: str, act_hash: str, *args, **kwargs

):

super().__init__(f"{exp_hash} != {act_hash}", *args, **kwargs)

self.file = file

self.key = key

self.exp_hash = exp_hash

self.act_hash = act_hash

hash_assertion_failures = []

def _parse_hash_file(file: Path) -> Dict[str, str]:

res = {}

for line in file.open():

if line.strip() == "" or line.strip().startswith("#"):

continue

key, h = line.strip().split(":", 1)

res[key.strip()] = h.strip()

return res

@pytest.fixture(scope="session")

def root_file_exp_hashes():

path = Path(

os.environ.get("ROOT_HASH_FILE", Path(__file__).parent / "root_file_hashes.txt")

)

return _parse_hash_file(path)

@pytest.fixture(name="assert_root_hash")

def assert_root_hash(request, root_file_exp_hashes):

if not helpers.doHashChecks:

def fn(*args, **kwargs):

pass

return fn

def fn(key: str, file: Path):

"""

Assertion helper function to check the hashes of root files.

Do NOT use this function directly by importing, rather use it as a pytest fixture

Arguments you need to provide:

key: Explicit lookup key for the expected hash, should be unique per test function

file: Root file to check the expected hash against

"""

__tracebackhide__ = True

gkey = f"{request.node.name}__{key}"

act_hash = helpers.hash_root.hash_root_file(file)

if not gkey in root_file_exp_hashes:

warnings.warn(

f'Hash lookup key "{key}" not found for test "{request.node.name}"'

)

check.equal(act_hash, "[MISSING]")

exc = RootHashAssertionError(file, gkey, "[MISSING]", act_hash)

hash_assertion_failures.append(exc)

else:

refhash = root_file_exp_hashes[gkey]

check.equal(act_hash, refhash)

if act_hash != refhash:

exc = RootHashAssertionError(file, gkey, refhash, act_hash)

hash_assertion_failures.append(exc)

return fn

def pytest_terminal_summary(terminalreporter, exitstatus, config):

docs_url = "https://acts.readthedocs.io/en/latest/examples/python_bindings.html#root-file-hash-regression-checks"

if len(hash_assertion_failures) > 0:

terminalreporter.ensure_newline()

terminalreporter.section(

"RootHashAssertionErrors", sep="-", red=True, bold=True

)

terminalreporter.line(

"The ROOT files produced by tests have changed since the last recorded reference."

)

terminalreporter.line(

"This can be be expected if e.g. the underlying algorithm changed, or it can be a test failure symptom."

)

terminalreporter.line(

"Please manually check the output files listed below and make sure that their content is correct."

)

terminalreporter.line(

"If it is, you can update the test reference file Python/Examples/tests/root_file_hashes.txt with the new hashes below."

)

terminalreporter.line(f"See {docs_url} for more details")

terminalreporter.line("")

for e in hash_assertion_failures:

terminalreporter.line(f"{e.key}: {e.act_hash}")

if not helpers.doHashChecks:

terminalreporter.section("Root file hash checks", sep="-", blue=True, bold=True)

terminalreporter.line(

"NOTE: Root file hash checks were skipped, enable with ROOT_HASH_CHECKS=on"

)

terminalreporter.line(f"See {docs_url} for more details")

def kwargsConstructor(cls, *args, **kwargs):

return cls(*args, **kwargs)

def configKwConstructor(cls, *args, **kwargs):

assert hasattr(cls, "Config")

_kwargs = {}

if "level" in kwargs:

_kwargs["level"] = kwargs.pop("level")

config = cls.Config()

for k, v in kwargs.items():

setattr(config, k, v)

return cls(*args, config=config, **_kwargs)

def configPosConstructor(cls, *args, **kwargs):

assert hasattr(cls, "Config")

_kwargs = {}

if "level" in kwargs:

_kwargs["level"] = kwargs.pop("level")

config = cls.Config()

for k, v in kwargs.items():

setattr(config, k, v)

return cls(config, *args, **_kwargs)

@pytest.fixture(params=[configPosConstructor, configKwConstructor, kwargsConstructor])

def conf_const(request):

return request.param

@pytest.fixture

def rng():

return acts.examples.RandomNumbers(seed=42)

@pytest.fixture

def basic_prop_seq(rng):

def _basic_prop_seq_factory(geo, s=None):

if s is None:

s = acts.examples.Sequencer(events=10, numThreads=1)

addParticleGun(

s,

ParticleConfig(num=10, pdg=acts.PdgParticle.eMuon, randomizeCharge=True),

EtaConfig(-4.0, 4.0),

rnd=rng,

)

trkParamExtractor = acts.examples.ParticleTrackParamExtractor(

level=acts.logging.WARNING,

inputParticles="particles_generated",

outputTrackParameters="params_particles_generated",

)

s.addAlgorithm(trkParamExtractor)

nav = acts.Navigator(trackingGeometry=geo)

stepper = acts.StraightLineStepper()

prop = acts.examples.ConcretePropagator(acts.Propagator(stepper, nav))

alg = acts.examples.PropagationAlgorithm(

level=acts.logging.WARNING,

propagatorImpl=prop,

sterileLogger=False,

inputTrackParameters="params_particles_generated",

outputSummaryCollection="propagation_summary",

)

s.addAlgorithm(alg)

return s, alg

return _basic_prop_seq_factory

@pytest.fixture

def trk_geo():

detector = acts.examples.GenericDetector()

trackingGeometry = detector.trackingGeometry()

yield trackingGeometry

DetectorConfig = namedtuple(

"DetectorConfig",

[

"detector",

"trackingGeometry",

"decorators",

"geometrySelection",

"digiConfigFile",

"name",

],

)

def _get_generic_detector_config(srcdir: Path) -> DetectorConfig:

detector = acts.examples.GenericDetector()

trackingGeometry = detector.trackingGeometry()

decorators = detector.contextDecorators()

return DetectorConfig(

detector,

trackingGeometry,

decorators,

geometrySelection=(srcdir / "Examples/Configs/generic-seeding-config.json"),

digiConfigFile=(srcdir / "Examples/Configs/generic-digi-smearing-config.json"),

name="generic",

)

def _get_odd_detector_config(srcdir: Path) -> DetectorConfig:

if not helpers.dd4hepEnabled:

pytest.skip("DD4hep not set up")

odd_dir = getOpenDataDetectorDirectory()

matDeco = acts.IMaterialDecorator.fromFile(

odd_dir / "data/odd-material-maps.root", level=acts.logging.INFO

)

detector = getOpenDataDetector(matDeco)

trackingGeometry = detector.trackingGeometry()

decorators = detector.contextDecorators()

return DetectorConfig(

detector,

trackingGeometry,

decorators,

digiConfigFile=(srcdir / "Examples/Configs/odd-digi-smearing-config.json"),

geometrySelection=(srcdir / "Examples/Configs/odd-seeding-config.json"),

name="odd",

)

def _srcdir() -> Path:

return Path(__file__).resolve().parent.parent.parent.parent

@pytest.fixture

def generic_detector_config():

"""Detector config for the generic detector only."""

return _get_generic_detector_config(_srcdir())

@pytest.fixture

def odd_detector_config():

"""Detector config for the Open Data Detector only (requires DD4hep)."""

return _get_odd_detector_config(_srcdir())

@pytest.fixture(params=["generic", pytest.param("odd", marks=pytest.mark.odd)])

def detector_config(request):

"""Parametrized fixture that runs tests with both generic and ODD detectors."""

srcdir = _srcdir()

if request.param == "generic":

return _get_generic_detector_config(srcdir)

elif request.param == "odd":

return _get_odd_detector_config(srcdir)

else:

raise ValueError(f"Invalid detector {request.param}")

@pytest.fixture

def ptcl_gun(rng):

def _factory(s):

evGen = acts.examples.EventGenerator(

level=acts.logging.INFO,

generators=[

acts.examples.EventGenerator.Generator(

multiplicity=acts.examples.FixedMultiplicityGenerator(n=2),

vertex=acts.examples.GaussianVertexGenerator(

stddev=acts.Vector4(0, 0, 0, 0), mean=acts.Vector4(0, 0, 0, 0)

),

particles=acts.examples.ParametricParticleGenerator(

p=(1 * u.GeV, 10 * u.GeV),

eta=(-2, 2),

phi=(0, 360 * u.degree),

randomizeCharge=True,

numParticles=2,

),

)

],

outputEvent="particle_gun_event",

randomNumbers=rng,

)

s.addReader(evGen)

hepmc3Converter = acts.examples.hepmc3.HepMC3InputConverter(

level=acts.logging.INFO,

inputEvent=evGen.config.outputEvent,

outputParticles="particles_generated",

outputVertices="vertices_input",

)

s.addAlgorithm(hepmc3Converter)

return evGen, hepmc3Converter

return _factory

@pytest.fixture

def fatras(ptcl_gun, trk_geo, rng):

def _factory(s):

evGen, h3conv = ptcl_gun(s)

field = acts.ConstantBField(acts.Vector3(0, 0, 2 * acts.UnitConstants.T))

simAlg = acts.examples.FatrasSimulation(

level=acts.logging.INFO,

inputParticles=h3conv.config.outputParticles,

outputParticles="particles_simulated",

outputSimHits="simhits",

randomNumbers=rng,

trackingGeometry=trk_geo,

magneticField=field,

generateHitsOnSensitive=True,

emScattering=False,

emEnergyLossIonisation=False,

emEnergyLossRadiation=False,

emPhotonConversion=False,

)

s.addAlgorithm(simAlg)

# Digitization

from acts.examples import json

digiCfg = acts.examples.DigitizationAlgorithm.Config(

digitizationConfigs=acts.examples.json.readDigiConfigFromJson(

str(

Path(__file__).parent.parent.parent.parent

/ "Examples/Configs/generic-digi-smearing-config.json"

)

),

surfaceByIdentifier=trk_geo.geoIdSurfaceMap(),

randomNumbers=rng,

inputSimHits=simAlg.config.outputSimHits,

)

digiAlg = acts.examples.DigitizationAlgorithm(digiCfg, acts.logging.INFO)

s.addAlgorithm(digiAlg)

return evGen, simAlg, digiAlg

return _factory

def _do_material_recording(d: Path):

from material_recording import runMaterialRecording

s = acts.examples.Sequencer(events=2, numThreads=1)

with getOpenDataDetector() as detector:

runMaterialRecording(

detector=detector,

s=s,

tracksPerEvent=1000,

outputFileBase=d / "geant4_material_tracks",

)

s.run()

@pytest.fixture(scope="session")

def material_recording_session(tmp_path_factory):

tmp_dir = tmp_path_factory.getbasetemp().parent

d = Path(tmp_dir) / "material_recording"

if not helpers.geant4Enabled:

pytest.skip("Geantino recording requested, but Geant4 is not set up")

if not helpers.dd4hepEnabled:

pytest.skip("DD4hep recording requested, but DD4hep is not set up")

with filelock.FileLock(str(d) + ".lock"):

if not d.exists():

d.mkdir()

# explicitly ask for "spawn" as CI failures were observed with "fork"

spawn_context = multiprocessing.get_context("spawn")

p = spawn_context.Process(target=_do_material_recording, args=(d,))

p.start()

p.join()

if p.exitcode != 0:

raise RuntimeError("Failure to execute material recording")

return Path(d)

@pytest.fixture

def material_recording(material_recording_session: Path, tmp_path: Path):

target = tmp_path / material_recording_session.name

shutil.copytree(material_recording_session, target)

return target