Add devtools for json results generation + replace old ones (#691)

* Add devtools for json results generation + replace old ones

* remove extra gzip files
This commit is contained in:
Irfan Alibay
2024-01-29 10:37:03 +00:00
committed by GitHub
parent 8e3fecb982
commit cfcc924de8
11 changed files with 136 additions and 12 deletions

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@@ -0,0 +1,124 @@
import gzip
import json
import logging
import pathlib
import tempfile
from openff.toolkit import Molecule
from openff.units import unit
from kartograf.atom_aligner import align_mol_shape
from kartograf import KartografAtomMapper
import gufe
from gufe.tokenization import JSON_HANDLER
import openfe
from openfe.protocols.openmm_md.plain_md_methods import PlainMDProtocol
from openfe.protocols.openmm_afe import AbsoluteSolvationProtocol
from openfe.protocols.openmm_rfe import RelativeHybridTopologyProtocol
logger = logging.getLogger(__name__)
LIGA = "[H]C([H])([H])C([H])([H])C(=O)C([H])([H])C([H])([H])[H]"
LIGB = "[H]C([H])([H])C(=O)C([H])([H])C([H])([H])C([H])([H])[H]"
def get_molecule(smi, name):
m = Molecule.from_smiles(smi)
m.generate_conformers()
m.assign_partial_charges(partial_charge_method="am1bcc")
return openfe.SmallMoleculeComponent.from_openff(m, name=name)
def execute_and_serialize(dag, protocol, simname):
logger.info(f"running {simname}")
with tempfile.TemporaryDirectory() as tmpdir:
workdir = pathlib.Path(tmpdir)
dagres = gufe.protocols.execute_DAG(
dag,
shared_basedir=workdir,
scratch_basedir=workdir,
keep_shared=False,
n_retries=3
)
protres = protocol.gather([dagres])
outdict = {
"estimate": protres.get_estimate(),
"uncertainty": protres.get_uncertainty(),
"protocol_result": protres.to_dict(),
"unit_results": {
unit.key: unit.to_keyed_dict()
for unit in dagres.protocol_unit_results
}
}
with gzip.open(f"{simname}_json_results.gz", 'wt') as zipfile:
json.dump(outdict, zipfile, cls=JSON_HANDLER.encoder)
def generate_md_json(smc):
settings = PlainMDProtocol.default_settings()
settings.simulation_settings.equilibration_length_nvt = 0.01 * unit.nanosecond
settings.simulation_settings.equilibration_length = 0.01 * unit.nanosecond
settings.simulation_settings.production_length = 0.01 * unit.nanosecond
settings.system_settings.nonbonded_method = "nocutoff"
protocol = PlainMDProtocol(settings=settings)
system = openfe.ChemicalSystem({"ligand": smc})
dag = protocol.create(stateA=system, stateB=system, mapping=None)
execute_and_serialize(dag, protocol, "MDProtocol")
def generate_ahfe_json(smc):
settings = AbsoluteSolvationProtocol.default_settings()
settings.solvent_simulation_settings.equilibration_length = 10 * unit.picosecond
settings.solvent_simulation_settings.production_length = 500 * unit.picosecond
settings.vacuum_simulation_settings.equilibration_length = 10 * unit.picosecond
settings.vacuum_simulation_settings.production_length = 1000 * unit.picosecond
settings.alchemical_settings.lambda_elec_windows = 5
settings.alchemical_settings.lambda_vdw_windows = 9
settings.alchemsampler_settings.n_repeats = 3
settings.alchemsampler_settings.n_replicas = 14
settings.alchemsampler_settings.online_analysis_target_error = 0.2 * unit.boltzmann_constant * unit.kelvin
settings.vacuum_engine_settings.compute_platform = 'CPU'
settings.solvent_engine_settings.compute_platform = 'CUDA'
protocol = AbsoluteSolvationProtocol(settings=settings)
sysA = openfe.ChemicalSystem(
{"ligand": smc, "solvent": openfe.SolventComponent()}
)
sysB = openfe.ChemicalSystem(
{"solvent": openfe.SolventComponent()}
)
dag = protocol.create(stateA=sysA, stateB=sysB, mapping=None)
execute_and_serialize(dag, protocol, "AHFEProtocol")
def generate_rfe_json(smcA, smcB):
settings = RelativeHybridTopologyProtocol.default_settings()
settings.simulation_settings.equilibration_length = 10 * unit.picosecond
settings.simulation_settings.production_length = 250 * unit.picosecond
settings.system_settings.nonbonded_method = "nocutoff"
protocol = RelativeHybridTopologyProtocol(settings=settings)
a_smcB = align_mol_shape(smcB, ref_mol=smcA)
mapper = KartografAtomMapper(atom_map_hydrogens=True)
mapping = next(mapper.suggest_mappings(smcA, a_smcB))
systemA = openfe.ChemicalSystem({'ligand': smcA})
systemB = openfe.ChemicalSystem({'ligand': a_smcB})
dag = protocol.create(
stateA=systemA, stateB=systemB, mapping={'ligands': mapping}
)
execute_and_serialize(dag, protocol, "RHFEProtocol")
if __name__ == "__main__":
molA = get_molecule(LIGA, "ligandA")
molB = get_molecule(LIGB, "ligandB")
generate_md_json(molA)
generate_ahfe_json(molA)
generate_rfe_json(molA, molB)

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@@ -195,10 +195,10 @@ def toluene_many_solv_system(benzene_modifications):
@pytest.fixture
def rfe_transformation_json() -> str:
"""string of a RFE result of quickrun"""
"""string of a RFE results similar to quickrun"""
d = resources.files('openfe.tests.data.openmm_rfe')
with gzip.open((d / 'RFE-ProtocolUnitResult-0f3457edf947483aa03d0f4fe88bf566.json.gz').as_posix(), 'r') as f: # type: ignore
with gzip.open((d / 'RHFEProtocol_json_results.gz').as_posix(), 'r') as f: # type: ignore
return f.read().decode() # type: ignore
@@ -208,7 +208,7 @@ def afe_solv_transformation_json() -> str:
string of a Absolute Solvation result (CN in water) generated by quickrun
"""
d = resources.files('openfe.tests.data.openmm_afe')
fname = "CN_absolute_solvation_transformation.json.gz"
fname = "AHFEProtocol_json_results.gz"
with gzip.open((d / fname).as_posix(), 'r') as f: # type: ignore
return f.read().decode() # type: ignore
@@ -220,7 +220,7 @@ def md_json() -> str:
string of a MD result (TYK ligand lig_ejm_31 in water) generated by quickrun
"""
d = resources.files('openfe.tests.data.openmm_md')
fname = "md_results.json.gz"
fname = "MDProtocol_json_results.gz"
with gzip.open((d / fname).as_posix(), 'r') as f: # type: ignore
return f.read().decode() # type: ignore

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@@ -600,7 +600,7 @@ class TestProtocolResult:
est = protocolresult.get_estimate()
assert est
assert est.m == pytest.approx(-2.977553138764437)
assert est.m == pytest.approx(-2.7514342223922856)
assert isinstance(est, offunit.Quantity)
assert est.is_compatible_with(offunit.kilojoule_per_mole)
@@ -608,7 +608,7 @@ class TestProtocolResult:
est = protocolresult.get_uncertainty()
assert est
assert est.m == pytest.approx(0.19617297299036018)
assert est.m == pytest.approx(0.1417058859527063)
assert isinstance(est, offunit.Quantity)
assert est.is_compatible_with(offunit.kilojoule_per_mole)
@@ -649,7 +649,7 @@ class TestProtocolResult:
ovp1 = ovp[key][0]
assert isinstance(ovp1['matrix'], np.ndarray)
assert ovp1['matrix'].shape == (15, 15)
assert ovp1['matrix'].shape == (14, 14)
@pytest.mark.parametrize('key', ['solvent', 'vacuum'])
def test_get_replica_transition_statistics(self, key, protocolresult):
@@ -661,8 +661,8 @@ class TestProtocolResult:
rpx1 = rpx[key][0]
assert 'eigenvalues' in rpx1
assert 'matrix' in rpx1
assert rpx1['eigenvalues'].shape == (15,)
assert rpx1['matrix'].shape == (15, 15)
assert rpx1['eigenvalues'].shape == (14,)
assert rpx1['matrix'].shape == (14, 14)
@pytest.mark.parametrize('key', ['solvent', 'vacuum'])
def test_equilibration_iterations(self, key, protocolresult):

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@@ -1414,7 +1414,7 @@ class TestProtocolResult:
est = protocolresult.get_estimate()
assert est
assert est.m == pytest.approx(3.5531577581450953)
assert est.m == pytest.approx(16.887389)
assert isinstance(est, unit.Quantity)
assert est.is_compatible_with(unit.kilojoule_per_mole)
@@ -1422,7 +1422,7 @@ class TestProtocolResult:
est = protocolresult.get_uncertainty()
assert est
assert est.m == pytest.approx(0.03431704941311493)
assert est.m == pytest.approx(0.12354885)
assert isinstance(est, unit.Quantity)
assert est.is_compatible_with(unit.kilojoule_per_mole)

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@@ -85,7 +85,7 @@ class TestAbsoluteSolvationVacuumUnit(GufeTokenizableTestsMixin):
class TestAbsoluteSolvationProtocolResult(GufeTokenizableTestsMixin):
cls = openmm_afe.AbsoluteSolvationProtocolResult
key = "AbsoluteSolvationProtocolResult-e7d74b8ccc009d071b8c6eb0420da4bf"
key = "AbsoluteSolvationProtocolResult-291fef7bbbad3ffda898be6c01a22f16"
repr = f"<{key}>"
@pytest.fixture()