from __future__ import annotations import sys import pytest from simulator import cli from simulator.config import Config from simulator.dataset_state import DatasetConfigMismatchError from simulator.empirical_maps import EmpiricalMapStore from simulator.shards import ( DatasetGenerationIncompleteError, DatasetGenerationLockedError, dataset_output_lock, ) def test_cli_reports_completed_dataset_mismatch_without_traceback( monkeypatch: pytest.MonkeyPatch, tmp_path, ) -> None: cfg = Config(out_dir=str(tmp_path), recomb_map="", mut_map="") monkeypatch.setattr(cli, "parse_args", lambda: cfg) monkeypatch.setattr(cli, "load_empirical_maps", lambda _cfg: EmpiricalMapStore()) def reject_reuse(_cfg, _empirical, **_kwargs): raise DatasetConfigMismatchError("configuration changed; rerun with --force") monkeypatch.setattr(cli, "generate_dataset", reject_reuse) with pytest.raises(SystemExit, match=r"^\[error\].*--force$"): cli.main() def test_cli_rejects_enabled_empirical_source_when_maps_are_unavailable( monkeypatch: pytest.MonkeyPatch, tmp_path, ) -> None: cfg = Config( out_dir=str(tmp_path), recomb_map="", mut_map="", p_clean_constant=0.0, p_random_global=0.0, p_custom_hetero=0.0, p_empirical_slice=1.0, p_stdpopsim_anchor=0.0, ) monkeypatch.setattr(cli, "parse_args", lambda: cfg) monkeypatch.setattr(cli, "load_empirical_maps", lambda _cfg: EmpiricalMapStore()) with pytest.raises( SystemExit, match="refusing to disable the requested empirical source", ): cli.main() def test_unknown_preset_is_an_argparse_error_without_traceback( monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str], ) -> None: monkeypatch.setattr(sys, "argv", ["dlcoalsim", "--preset", "unknown"]) with pytest.raises(SystemExit) as exc_info: cli.parse_args() assert exc_info.value.code == 2 stderr = capsys.readouterr().err assert "Unknown preset" in stderr assert "Traceback" not in stderr def test_unusable_output_path_has_a_clean_cli_error( monkeypatch: pytest.MonkeyPatch, tmp_path, ) -> None: parent_file = tmp_path / "not-a-directory" parent_file.write_text("occupied", encoding="utf-8") cfg = Config( out_dir=str(parent_file / "dataset"), recomb_map="", mut_map="", ) monkeypatch.setattr(cli, "parse_args", lambda: cfg) with pytest.raises(SystemExit, match=r"^\[error\] filesystem operation failed"): cli.main() def test_parse_args_records_distributed_generation_options( monkeypatch: pytest.MonkeyPatch, tmp_path, ) -> None: monkeypatch.setattr( sys, "argv", [ "dlcoalsim", "--generate-only", "--rank", "2", "--world-size", "5", "--out-dir", str(tmp_path), ], ) cfg = cli.parse_args() assert cfg._generation_mode == "generate" assert cfg._distributed_rank == 2 assert cfg._distributed_world_size == 5 def test_auto_mode_uses_slurm_rank_partition( monkeypatch: pytest.MonkeyPatch, tmp_path, ) -> None: cfg = Config(out_dir=str(tmp_path), recomb_map="", mut_map="") monkeypatch.setattr(cli, "parse_args", lambda: cfg) monkeypatch.setattr(cli, "load_empirical_maps", lambda _cfg: EmpiricalMapStore()) monkeypatch.setenv("SLURM_PROCID", "2") monkeypatch.setenv("SLURM_NTASKS", "4") calls: list[tuple[int, int]] = [] def generate_partition(_cfg, _empirical, *, rank, world_size): calls.append((rank, world_size)) return {"generated_chunks": 3, "reused_chunks": 1} monkeypatch.setattr(cli, "generate_dataset_partition", generate_partition) monkeypatch.setattr( cli, "generate_dataset", lambda *_args, **_kwargs: pytest.fail("single-node generator was called"), ) cli.main() assert calls == [(2, 4)] def test_prepare_only_loads_maps_and_allows_force( monkeypatch: pytest.MonkeyPatch, tmp_path, ) -> None: cfg = Config( out_dir=str(tmp_path), recomb_map="", mut_map="", force=True, ) cfg._generation_mode = "prepare" cfg._distributed_rank = None cfg._distributed_world_size = None empirical = EmpiricalMapStore() calls: list[tuple[Config, EmpiricalMapStore]] = [] monkeypatch.setattr(cli, "parse_args", lambda: cfg) monkeypatch.setattr(cli, "load_empirical_maps", lambda _cfg: empirical) monkeypatch.setattr( cli, "prepare_dataset", lambda called_cfg, called_empirical: calls.append( (called_cfg, called_empirical) ), ) cli.main() assert calls == [(cfg, empirical)] def test_finalize_only_skips_map_loading_and_writes_dataset_files( monkeypatch: pytest.MonkeyPatch, tmp_path, ) -> None: cfg = Config(out_dir=str(tmp_path), recomb_map="", mut_map="") cfg._generation_mode = "finalize" cfg._distributed_rank = None cfg._distributed_world_size = None manifest = {"n_samples": cfg.n_samples} writes: list[tuple[Config, dict]] = [] monkeypatch.setattr(cli, "parse_args", lambda: cfg) monkeypatch.setattr( cli, "load_empirical_maps", lambda _cfg: pytest.fail("finalization loaded empirical maps"), ) monkeypatch.setattr( cli, "finalize_dataset", lambda _cfg, **_kwargs: manifest, ) def record_write(called_cfg, called_manifest): with pytest.raises(DatasetGenerationLockedError): with dataset_output_lock(tmp_path): pass writes.append((called_cfg, called_manifest)) monkeypatch.setattr(cli, "write_dataset_files", record_write) cli.main() assert writes == [(cfg, manifest)] def test_finalize_only_reports_incomplete_generation_cleanly( monkeypatch: pytest.MonkeyPatch, tmp_path, ) -> None: cfg = Config(out_dir=str(tmp_path), recomb_map="", mut_map="") cfg._generation_mode = "finalize" cfg._distributed_rank = None cfg._distributed_world_size = None monkeypatch.setattr(cli, "parse_args", lambda: cfg) def reject_finalize(_cfg, **_kwargs): raise DatasetGenerationIncompleteError("2 chunks are still missing") monkeypatch.setattr(cli, "finalize_dataset", reject_finalize) with pytest.raises(SystemExit, match=r"^\[error\] 2 chunks are still missing$"): cli.main()