From 8355617aad445d1fc27536cc58de9eeec468e0fb Mon Sep 17 00:00:00 2001 From: Eric Sivonxay Date: Wed, 1 Nov 2023 17:11:49 -0700 Subject: [PATCH] Add builder tests --- src/NanoParticleTools/builder.py | 2 +- src/NanoParticleTools/core.py | 24 ++-- tests/test_builder.py | 126 ++++++++++++++++-- tests/test_files/npmc_docs/raw_documents.json | 1 + 4 files changed, 127 insertions(+), 26 deletions(-) create mode 100644 tests/test_files/npmc_docs/raw_documents.json diff --git a/src/NanoParticleTools/builder.py b/src/NanoParticleTools/builder.py index 4708136..c07b602 100644 --- a/src/NanoParticleTools/builder.py +++ b/src/NanoParticleTools/builder.py @@ -442,7 +442,7 @@ def get_items(self): # count the total items in the dict total_items = sum([len(v) for v in unduplicated_dict.values()]) - if total_items != self.n_docs_filter: + if total_items < self.n_docs_filter: continue yield unduplicated_dict, docs_to_avg diff --git a/src/NanoParticleTools/core.py b/src/NanoParticleTools/core.py index d2b5d7e..01fdec5 100644 --- a/src/NanoParticleTools/core.py +++ b/src/NanoParticleTools/core.py @@ -123,6 +123,18 @@ class NPMCInput(MSONable): + def __init__(self, + spectral_kinetics: SpectralKinetics, + nanoparticle: DopedNanoparticle, + initial_states: Sequence[int] | None = None): + + self.spectral_kinetics = spectral_kinetics + self.nanoparticle = nanoparticle + if initial_states is None: + self.initial_states = [0 for _ in self.sites] + else: + self.initial_states = initial_states + def load_trajectory(self, seed, database_file): with sqlite3.connect(database_file) as con: cur = con.cursor() @@ -164,18 +176,6 @@ def load_trajectories(self, database_file: str): self.trajectories = trajectories - def __init__(self, - spectral_kinetics: SpectralKinetics, - nanoparticle: DopedNanoparticle, - initial_states: Sequence[int] | None = None): - - self.spectral_kinetics = spectral_kinetics - self.nanoparticle = nanoparticle - if initial_states is None: - self.initial_states = [0 for _ in self.sites] - else: - self.initial_states = initial_states - @property @lru_cache def interactions(self): diff --git a/tests/test_builder.py b/tests/test_builder.py index 88d5413..28e657d 100644 --- a/tests/test_builder.py +++ b/tests/test_builder.py @@ -3,35 +3,135 @@ MultiFidelityAveragingBuilder) from maggma.stores import MemoryStore +from pathlib import Path import pytest +import json +from monty.serialization import MontyDecoder + +MODULE_DIR = Path(__file__).absolute().parent +TEST_FILE_DIR = MODULE_DIR / 'test_files' @pytest.fixture def raw_docs_store(): store = MemoryStore() - # TODO: add documents to this memory store + store.connect() + + # load the documents into the store + with open(TEST_FILE_DIR / 'npmc_docs/raw_documents.json', 'r') as f: + results = json.load(f, cls=MontyDecoder) + + store.update(results, key='_id') return store -@pytest.mark.skip('Not implemented yet, need to add documents') def test_ucnp_builder(raw_docs_store): target_store = MemoryStore() - builder = UCNPBuilder(raw_docs_store, target_store) + builder.run() + + assert target_store.count() == 2 + assert len(list(builder.prechunk(2))) == 2 + + target_store = MemoryStore() + builder = UCNPBuilder(source=raw_docs_store, + target=target_store, + docs_filter={'data.n_dopant_sites': 1399}) + builder.run() + + assert target_store.count() == 1 + doc = target_store.query_one() + assert doc['avg_simulation_length'] == pytest.approx(40078.375) + assert doc['avg_simulation_time'] == pytest.approx(0.01018022901835798) + assert set(doc['output'].keys()) == { + 'summary_keys', 'summary', 'energy_spectrum_x', 'energy_spectrum_y', + 'wavelength_spectrum_x', 'wavelength_spectrum_y' + } + - pass +def test_ucnp_pop_builder(raw_docs_store): + target_store = MemoryStore() + builder = UCNPPopBuilder(raw_docs_store, target_store) + builder.run() + assert target_store.count() == 2 + doc = target_store.query_one() + assert set(doc['output'].keys()) == { + 'energy_spectrum_x', 'energy_spectrum_y', 'wavelength_spectrum_x', + 'wavelength_spectrum_y', 'avg_total_pop', + 'avg_total_pop_by_constraint', 'avg_5ms_total_pop', + 'avg_8ms_total_pop', 'avg_5ms_total_pop_by_constraint', + 'avg_8ms_total_pop_by_constraint' + } -@pytest.mark.skip('Not implemented yet, need to add documents') -def test_ucnp_pop_builder(): - pass +def test_partial_averaging_builder(raw_docs_store): + # Test building 44 averaging + target_store = MemoryStore() + builder = PartialAveragingBuilder(n_orderings=4, + n_sims=4, + source=raw_docs_store, + target=target_store) + builder.run() -@pytest.mark.skip('Not implemented yet, need to add documents') -def test_partial_averaging_builder(): - pass + assert target_store.count() == 1 + doc = target_store.query_one() + doc['num_averaged'] == 16 + # Test building 22 averaging + target_store = MemoryStore() + builder = PartialAveragingBuilder(n_orderings=2, + n_sims=2, + source=raw_docs_store, + target=target_store) + builder.run() -@pytest.mark.skip('Not implemented yet, need to add documents') -def test_multi_fidelity_averaging_builder(): - pass + assert target_store.count() == 1 + doc = target_store.query_one() + doc['num_averaged'] == 4 + + # Test building 14 averaging + target_store = MemoryStore() + builder = PartialAveragingBuilder(n_orderings=1, + n_sims=4, + source=raw_docs_store, + target=target_store) + builder.run() + + assert target_store.count() == 2 + doc = target_store.query_one() + doc['num_averaged'] == 4 + + # Test building 41 averaging + target_store = MemoryStore() + builder = PartialAveragingBuilder(n_orderings=4, + n_sims=1, + source=raw_docs_store, + target=target_store) + builder.run() + + assert target_store.count() == 1 + doc = target_store.query_one() + doc['num_averaged'] == 4 + + +def test_multi_fidelity_averaging_builder(raw_docs_store): + target_store = MemoryStore() + builder = MultiFidelityAveragingBuilder(n_docs_filter=4, + source=raw_docs_store, + target=target_store) + builder.run() + assert target_store.count() == 2 + docs = list(target_store.query()) + assert set(docs[0]['output']['energy_spectrum_y'].keys()) == { + '(1, 1)', '(2, 2)', '(4, 1)', '(1, 4)', '(4, 4)' + } + assert set( + docs[1]['output']['energy_spectrum_y'].keys()) == {'(1, 1)', '(4, 1)'} + + target_store = MemoryStore() + builder = MultiFidelityAveragingBuilder(n_docs_filter=16, + source=raw_docs_store, + target=target_store) + builder.run() + assert target_store.count() == 1 diff --git a/tests/test_files/npmc_docs/raw_documents.json b/tests/test_files/npmc_docs/raw_documents.json new file mode 100644 index 0000000..36f5dc6 --- /dev/null +++ b/tests/test_files/npmc_docs/raw_documents.json @@ -0,0 +1 @@ +[{"_id": {"@module": "bson.objectid", "@class": "ObjectId", "oid": "626271415628910ac42e03ba"}, "@class": "", "@module": "", "blob_uuid": "01f1cd10-1905-48c5-b4cb-9f2ecd01a60c", "data": {"simulation_seed": 1003, "dopant_seed": 3, "simulation_length": 39334, "simulation_time": 0.010000039628571517, "n_constraints": 3, 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