From 3272d1f24a01a04228d3177880db50f45cad2b32 Mon Sep 17 00:00:00 2001 From: Anthony Volk Date: Sat, 30 May 2026 01:08:09 +0200 Subject: [PATCH 1/2] Support GCS runtime dataset materialization --- changelog.d/gcs-runtime-datasets.fixed.md | 2 + pyproject.toml | 2 + .../provenance/dataset_sources.py | 105 +++ .../tax_benefit_models/uk/datasets.py | 4 +- .../tax_benefit_models/uk/model.py | 16 +- .../tax_benefit_models/us/datasets.py | 4 +- .../tax_benefit_models/us/model.py | 6 +- src/policyengine/utils/data/__init__.py | 1 + .../data/caching_google_storage_client.py | 105 +++ .../data/version_aware_storage_client.py | 127 ++++ src/policyengine/utils/google_cloud_bucket.py | 48 ++ tests/test_dataset_sources.py | 149 ++++ tests/test_release_manifests.py | 84 ++- uv.lock | 693 +++++++++++++++--- 14 files changed, 1218 insertions(+), 128 deletions(-) create mode 100644 changelog.d/gcs-runtime-datasets.fixed.md create mode 100644 src/policyengine/provenance/dataset_sources.py create mode 100644 src/policyengine/utils/data/__init__.py create mode 100644 src/policyengine/utils/data/caching_google_storage_client.py create mode 100644 src/policyengine/utils/data/version_aware_storage_client.py create mode 100644 src/policyengine/utils/google_cloud_bucket.py create mode 100644 tests/test_dataset_sources.py diff --git a/changelog.d/gcs-runtime-datasets.fixed.md b/changelog.d/gcs-runtime-datasets.fixed.md new file mode 100644 index 00000000..3529dd8c --- /dev/null +++ b/changelog.d/gcs-runtime-datasets.fixed.md @@ -0,0 +1,2 @@ +Restore runtime loading for `gs://` dataset URIs and materialize remote +datasets before handing them to country package microsimulations. diff --git a/pyproject.toml b/pyproject.toml index 0bac0f18..4e7fab42 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -29,6 +29,8 @@ dependencies = [ "requests>=2.31.0", "psutil>=5.9.0", "packaging>=23.0", + "google-cloud-storage>=3.1.0,<4.0.0", + "diskcache>=5.6.3,<6.0.0", ] [project.scripts] diff --git a/src/policyengine/provenance/dataset_sources.py b/src/policyengine/provenance/dataset_sources.py new file mode 100644 index 00000000..27d729b2 --- /dev/null +++ b/src/policyengine/provenance/dataset_sources.py @@ -0,0 +1,105 @@ +"""Runtime dataset source materialization.""" + +from __future__ import annotations + +from dataclasses import dataclass +from typing import Optional + +from policyengine.utils.google_cloud_bucket import download_file_from_gcs + + +@dataclass(frozen=True) +class GCSArtifactReference: + bucket: str + path: str + version: Optional[str] = None + + +@dataclass(frozen=True) +class HFArtifactReference: + repo_id: str + path: str + version: Optional[str] = None + + +def _select_version( + uri_version: Optional[str], + requested_version: Optional[str], +) -> Optional[str]: + if ( + uri_version is not None + and requested_version is not None + and uri_version != requested_version + ): + raise ValueError( + "Conflicting dataset versions: " + f"URI requests {uri_version!r} but version is {requested_version!r}" + ) + return uri_version or requested_version + + +def parse_gs_uri(uri: str) -> GCSArtifactReference: + if not uri.startswith("gs://"): + raise ValueError(f"Invalid GCS dataset URI: {uri!r}") + + path_with_bucket, version = ( + uri[5:].rsplit("@", maxsplit=1) if "@" in uri[5:] else (uri[5:], None) + ) + bucket, separator, path = path_with_bucket.partition("/") + if not bucket or not separator or not path: + raise ValueError( + "Invalid GCS dataset URI. Expected format " + f"'gs://bucket/path/to/file[@version]', got {uri!r}." + ) + return GCSArtifactReference(bucket=bucket, path=path, version=version) + + +def parse_hf_uri(uri: str) -> HFArtifactReference: + if not uri.startswith("hf://"): + raise ValueError(f"Invalid Hugging Face dataset URI: {uri!r}") + + path_with_repo, version = ( + uri[5:].rsplit("@", maxsplit=1) if "@" in uri[5:] else (uri[5:], None) + ) + parts = path_with_repo.split("/", maxsplit=2) + if len(parts) != 3 or not all(parts): + raise ValueError( + "Invalid Hugging Face dataset URI. Expected format " + f"'hf://owner/repo/path/to/file[@revision]', got {uri!r}." + ) + return HFArtifactReference( + repo_id=f"{parts[0]}/{parts[1]}", + path=parts[2], + version=version, + ) + + +def materialize_dataset_source( + dataset_source: str, + *, + version: Optional[str] = None, +) -> str: + """Return a local file path for supported remote dataset URIs.""" + + if dataset_source.startswith("gs://"): + reference = parse_gs_uri(dataset_source) + local_path, _ = download_file_from_gcs( + reference.bucket, + reference.path, + version=_select_version(reference.version, version), + ) + return local_path + + if dataset_source.startswith("hf://"): + from policyengine_core.tools.hugging_face import ( + download_huggingface_dataset, + ) + + reference = parse_hf_uri(dataset_source) + return download_huggingface_dataset( + reference.repo_id, + reference.path, + version=_select_version(reference.version, version), + ) + + return dataset_source diff --git a/src/policyengine/tax_benefit_models/uk/datasets.py b/src/policyengine/tax_benefit_models/uk/datasets.py index e7207da7..f771af06 100644 --- a/src/policyengine/tax_benefit_models/uk/datasets.py +++ b/src/policyengine/tax_benefit_models/uk/datasets.py @@ -6,6 +6,7 @@ from pydantic import ConfigDict from policyengine.core import Dataset, YearData +from policyengine.provenance.dataset_sources import materialize_dataset_source from policyengine.provenance.manifest import ( dataset_logical_name, resolve_dataset_reference, @@ -111,9 +112,10 @@ def create_datasets( for dataset in datasets: resolved_dataset = resolve_dataset_reference("uk", dataset) dataset_stem = dataset_logical_name(resolved_dataset) + runtime_dataset = materialize_dataset_source(resolved_dataset) from policyengine_uk import Microsimulation - sim = Microsimulation(dataset=resolved_dataset) + sim = Microsimulation(dataset=runtime_dataset) for year in years: year_dataset = sim.dataset[year] diff --git a/src/policyengine/tax_benefit_models/uk/model.py b/src/policyengine/tax_benefit_models/uk/model.py index 976d1339..c8a440ae 100644 --- a/src/policyengine/tax_benefit_models/uk/model.py +++ b/src/policyengine/tax_benefit_models/uk/model.py @@ -6,6 +6,7 @@ from microdf import MicroDataFrame from policyengine.core import TaxBenefitModel +from policyengine.provenance.dataset_sources import materialize_dataset_source from policyengine.provenance.manifest import ( dataset_logical_name, resolve_local_managed_dataset_source, @@ -288,21 +289,22 @@ def managed_microsimulation( allow_unmanaged and dataset is not None and "://" in dataset ), ) - runtime_dataset = dataset_source - if isinstance(dataset_source, str) and "hf://" not in dataset_source: + runtime_dataset_source = materialize_dataset_source(dataset_source) + runtime_dataset = runtime_dataset_source + if isinstance(runtime_dataset_source, str) and "://" not in runtime_dataset_source: from policyengine_uk.data.dataset_schema import ( UKMultiYearDataset, UKSingleYearDataset, ) - if UKMultiYearDataset.validate_file_path(dataset_source, False): - runtime_dataset = UKMultiYearDataset(dataset_source) - elif UKSingleYearDataset.validate_file_path(dataset_source, False): - runtime_dataset = UKSingleYearDataset(dataset_source) + if UKMultiYearDataset.validate_file_path(runtime_dataset_source, False): + runtime_dataset = UKMultiYearDataset(runtime_dataset_source) + elif UKSingleYearDataset.validate_file_path(runtime_dataset_source, False): + runtime_dataset = UKSingleYearDataset(runtime_dataset_source) microsim = Microsimulation(dataset=runtime_dataset, **kwargs) microsim.policyengine_bundle = _managed_release_bundle( dataset_uri, - dataset_source, + runtime_dataset_source, ) return microsim diff --git a/src/policyengine/tax_benefit_models/us/datasets.py b/src/policyengine/tax_benefit_models/us/datasets.py index 38a04f9e..4beeca89 100644 --- a/src/policyengine/tax_benefit_models/us/datasets.py +++ b/src/policyengine/tax_benefit_models/us/datasets.py @@ -12,6 +12,7 @@ from pydantic import ConfigDict, Field from policyengine.core import Dataset, YearData +from policyengine.provenance.dataset_sources import materialize_dataset_source from policyengine.provenance.manifest import ( dataset_logical_name, get_release_manifest, @@ -285,7 +286,8 @@ def create_datasets( for dataset in datasets: resolved_dataset = resolve_dataset_reference("us", dataset) dataset_stem = dataset_logical_name(resolved_dataset) - sim = Microsimulation(dataset=resolved_dataset) + runtime_dataset = materialize_dataset_source(resolved_dataset) + sim = Microsimulation(dataset=runtime_dataset) for year in years: # Get all input variables from the simulation diff --git a/src/policyengine/tax_benefit_models/us/model.py b/src/policyengine/tax_benefit_models/us/model.py index 655e05d6..9d98c9fb 100644 --- a/src/policyengine/tax_benefit_models/us/model.py +++ b/src/policyengine/tax_benefit_models/us/model.py @@ -6,6 +6,7 @@ from microdf import MicroDataFrame from policyengine.core import TaxBenefitModel +from policyengine.provenance.dataset_sources import materialize_dataset_source from policyengine.provenance.manifest import ( dataset_logical_name, resolve_local_managed_dataset_source, @@ -438,10 +439,11 @@ def managed_microsimulation( allow_unmanaged and dataset is not None and "://" in dataset ), ) - microsim = Microsimulation(dataset=dataset_source, **kwargs) + runtime_dataset_source = materialize_dataset_source(dataset_source) + microsim = Microsimulation(dataset=runtime_dataset_source, **kwargs) microsim.policyengine_bundle = _managed_release_bundle( dataset_uri, - dataset_source, + runtime_dataset_source, ) return microsim diff --git a/src/policyengine/utils/data/__init__.py b/src/policyengine/utils/data/__init__.py new file mode 100644 index 00000000..97419b4e --- /dev/null +++ b/src/policyengine/utils/data/__init__.py @@ -0,0 +1 @@ +"""Dataset download helpers.""" diff --git a/src/policyengine/utils/data/caching_google_storage_client.py b/src/policyengine/utils/data/caching_google_storage_client.py new file mode 100644 index 00000000..08dfcb9b --- /dev/null +++ b/src/policyengine/utils/data/caching_google_storage_client.py @@ -0,0 +1,105 @@ +"""Disk-cached Google Cloud Storage downloads.""" + +from __future__ import annotations + +import logging +import os +import tempfile +from contextlib import AbstractContextManager +from pathlib import Path +from typing import Optional + +import diskcache + +from .version_aware_storage_client import VersionAwareStorageClient + +logger = logging.getLogger(__name__) + + +def _atomic_write(target: Path, content: bytes) -> None: + target.parent.mkdir(parents=True, exist_ok=True) + temp_path = None + try: + with tempfile.NamedTemporaryFile( + dir=target.parent, + delete=False, + ) as temp_file: + temp_path = Path(temp_file.name) + temp_file.write(content) + os.replace(temp_path, target) + finally: + if temp_path is not None and temp_path.exists(): + temp_path.unlink() + + +class CachingGoogleStorageClient(AbstractContextManager): + """Download GCS objects through a CRC-keyed disk cache.""" + + def __init__(self) -> None: + self.client = VersionAwareStorageClient() + self.cache = diskcache.Cache() + + @staticmethod + def _data_key(bucket: str, key: str, version: Optional[str] = None) -> str: + return f"{bucket}.{key}.{version}.data" + + @staticmethod + def _crc_key(bucket: str, key: str, version: Optional[str] = None) -> str: + return f"{bucket}.{key}.{version}.crc" + + def download( + self, + bucket: str, + key: str, + target: Path, + version: Optional[str] = None, + return_version: bool = False, + ) -> Optional[str]: + if version is None: + version = self.client.latest_metadata_version(bucket, key) + logger.warning( + "No version specified for %s/%s; using latest metadata version %s", + bucket, + key, + version, + ) + + self.sync(bucket, key, version) + data = self.cache.get(self._data_key(bucket, key, version)) + if isinstance(data, bytes): + _atomic_write(target, data) + return version if return_version else None + + raise TypeError( + f"Expected cached data for {bucket}/{key}@{version} to be bytes" + ) + + def sync( + self, + bucket: str, + key: str, + version: Optional[str] = None, + ) -> None: + crc = self.client.crc32c(bucket, key, version=version) + if crc is None: + raise FileNotFoundError(f"Unable to find gs://{bucket}/{key}") + + data_key = self._data_key(bucket, key, version) + crc_key = self._crc_key(bucket, key, version) + if self.cache.get(crc_key, default=None) == crc: + return + + content, downloaded_crc = self.client.download(bucket, key, version=version) + with self.cache as cache: + cache.set(data_key, content) + cache.set(crc_key, downloaded_crc) + + def clear(self) -> None: + self.cache.clear() + + def __enter__(self) -> CachingGoogleStorageClient: + return self + + def __exit__(self, exc_type, exc_value, traceback): + self.clear() + return None diff --git a/src/policyengine/utils/data/version_aware_storage_client.py b/src/policyengine/utils/data/version_aware_storage_client.py new file mode 100644 index 00000000..cc886271 --- /dev/null +++ b/src/policyengine/utils/data/version_aware_storage_client.py @@ -0,0 +1,127 @@ +"""GCS client helpers for generation and metadata-versioned objects.""" + +from __future__ import annotations + +import logging +from typing import Optional + +from google.cloud.storage import Blob, Bucket, Client + +logger = logging.getLogger(__name__) + + +class VersionAwareStorageClient: + """Resolve GCS objects by generation, metadata version, or latest object.""" + + def __init__(self) -> None: + self.client = Client() + + def get_blob( + self, + bucket_name: str, + key: str, + version: Optional[str] = None, + ) -> Blob: + bucket = self.client.bucket(bucket_name) + + if version is None: + logger.debug( + "No version specified for %s/%s, using latest", + bucket_name, + key, + ) + return bucket.blob(key) + + if version.isdigit(): + try: + blob = bucket.blob(key, generation=int(version)) + blob.reload() + logger.info( + "Found %s/%s with generation %s", + bucket_name, + key, + version, + ) + return blob + except Exception as exc: + logger.debug( + "Generation lookup failed for %s/%s@%s: %s", + bucket_name, + key, + version, + exc, + ) + + return self._get_blob_by_metadata_version(bucket, key, version) + + def _get_blob_by_metadata_version( + self, + bucket: Bucket, + key: str, + version: str, + ) -> Blob: + logger.debug( + "Searching for %s/%s with metadata version %s", + bucket.name, + key, + version, + ) + matching_blobs = [ + blob + for blob in bucket.list_blobs(prefix=key, versions=True) + if blob.name == key + and blob.metadata is not None + and blob.metadata.get("version") == version + ] + + if not matching_blobs: + raise ValueError( + f"No blob found with version {version!r} for {bucket.name}/{key}" + ) + + newest_blob = max(matching_blobs, key=lambda blob: blob.generation) + logger.info( + "Found %s/%s with metadata version %s and generation %s", + bucket.name, + key, + version, + newest_blob.generation, + ) + return newest_blob + + def crc32c( + self, + bucket_name: str, + key: str, + version: Optional[str] = None, + ) -> Optional[str]: + blob = self.get_blob(bucket_name, key, version) + blob.reload() + return blob.crc32c + + def download( + self, + bucket_name: str, + key: str, + version: Optional[str] = None, + ) -> tuple[bytes, Optional[str]]: + blob = self.get_blob(bucket_name, key, version) + content = blob.download_as_bytes() + return content, blob.crc32c + + def latest_metadata_version( + self, + bucket_name: str, + key: str, + ) -> Optional[str]: + blob = self.client.get_bucket(bucket_name).get_blob(key) + if blob is None: + logger.warning("No blob found for %s/%s", bucket_name, key) + return None + if blob.metadata is None: + logger.warning("No metadata found for %s/%s", bucket_name, key) + return None + version = blob.metadata.get("version") + if version is None: + logger.warning("No metadata version found for %s/%s", bucket_name, key) + return version diff --git a/src/policyengine/utils/google_cloud_bucket.py b/src/policyengine/utils/google_cloud_bucket.py new file mode 100644 index 00000000..c6da587a --- /dev/null +++ b/src/policyengine/utils/google_cloud_bucket.py @@ -0,0 +1,48 @@ +"""High-level dataset downloads from Google Cloud Storage.""" + +from __future__ import annotations + +from pathlib import Path +from typing import Optional, Tuple + +from policyengine.utils.data.caching_google_storage_client import ( + CachingGoogleStorageClient, +) + +DATASETS_DIR = Path(".datasets") + +_caching_client: Optional[CachingGoogleStorageClient] = None + + +def _get_client() -> CachingGoogleStorageClient: + global _caching_client + if _caching_client is None: + _caching_client = CachingGoogleStorageClient() + return _caching_client + + +def _clear_client() -> None: + """Reset the singleton client. Intended for tests.""" + + global _caching_client + _caching_client = None + + +def download_file_from_gcs( + bucket_name: str, + gcs_key: str, + version: Optional[str] = None, +) -> Tuple[str, Optional[str]]: + """Download a GCS object into `.datasets`, preserving object path.""" + + local_path = DATASETS_DIR / gcs_key + local_path.parent.mkdir(parents=True, exist_ok=True) + + resolved_version = _get_client().download( + bucket_name, + gcs_key, + local_path, + version=version, + return_version=True, + ) + return str(local_path), resolved_version diff --git a/tests/test_dataset_sources.py b/tests/test_dataset_sources.py new file mode 100644 index 00000000..ff50865c --- /dev/null +++ b/tests/test_dataset_sources.py @@ -0,0 +1,149 @@ +import importlib.util +import sys +from pathlib import Path +from types import SimpleNamespace +from unittest.mock import Mock + +import pytest + +from policyengine.provenance import dataset_sources +from policyengine.provenance.dataset_sources import ( + materialize_dataset_source, + parse_gs_uri, + parse_hf_uri, +) + +REPO_ROOT = Path(__file__).resolve().parents[1] + + +def _load_module_from_path(module_name: str, path: Path): + spec = importlib.util.spec_from_file_location(module_name, path) + assert spec is not None + assert spec.loader is not None + module = importlib.util.module_from_spec(spec) + sys.modules[module_name] = module + spec.loader.exec_module(module) + return module + + +def test_parse_gs_uri_extracts_bucket_path_and_version(): + reference = parse_gs_uri("gs://policyengine-us-data/states/CA.h5@1.77.0") + + assert reference.bucket == "policyengine-us-data" + assert reference.path == "states/CA.h5" + assert reference.version == "1.77.0" + + +def test_parse_hf_uri_extracts_repo_path_and_revision(): + reference = parse_hf_uri( + "hf://policyengine/policyengine-us-data/enhanced_cps_2024.h5@1.77.0" + ) + + assert reference.repo_id == "policyengine/policyengine-us-data" + assert reference.path == "enhanced_cps_2024.h5" + assert reference.version == "1.77.0" + + +def test_materialize_dataset_source_downloads_gcs_uri(monkeypatch): + download = Mock(return_value=(".datasets/enhanced_cps_2024.h5", "1.77.0")) + monkeypatch.setattr(dataset_sources, "download_file_from_gcs", download) + + result = materialize_dataset_source( + "gs://policyengine-us-data/enhanced_cps_2024.h5@1.77.0" + ) + + assert result == ".datasets/enhanced_cps_2024.h5" + download.assert_called_once_with( + "policyengine-us-data", + "enhanced_cps_2024.h5", + version="1.77.0", + ) + + +def test_materialize_dataset_source_downloads_hf_uri(monkeypatch): + download = Mock(return_value="/tmp/enhanced_cps_2024.h5") + monkeypatch.setattr( + "policyengine_core.tools.hugging_face.download_huggingface_dataset", + download, + ) + + result = materialize_dataset_source( + "hf://policyengine/policyengine-us-data/enhanced_cps_2024.h5@1.77.0" + ) + + assert result == "/tmp/enhanced_cps_2024.h5" + download.assert_called_once_with( + "policyengine/policyengine-us-data", + "enhanced_cps_2024.h5", + version="1.77.0", + ) + + +def test_materialize_dataset_source_preserves_local_path(): + assert materialize_dataset_source("/tmp/enhanced_cps_2024.h5") == ( + "/tmp/enhanced_cps_2024.h5" + ) + + +def test_materialize_dataset_source_rejects_conflicting_versions(): + with pytest.raises(ValueError, match="Conflicting dataset versions"): + materialize_dataset_source( + "gs://policyengine-us-data/enhanced_cps_2024.h5@1.77.0", + version="1.78.0", + ) + + +def test_us_create_datasets_passes_materialized_source_to_country_package( + monkeypatch, +): + us_datasets = _load_module_from_path( + "_test_policyengine_us_datasets", + REPO_ROOT / "src/policyengine/tax_benefit_models/us/datasets.py", + ) + + materialize = Mock(return_value="/tmp/enhanced_cps_2024.h5") + microsimulation = Mock() + monkeypatch.setattr(us_datasets, "materialize_dataset_source", materialize) + monkeypatch.setitem( + sys.modules, + "policyengine_us", + SimpleNamespace(Microsimulation=microsimulation), + ) + + us_datasets.create_datasets( + datasets=["gs://policyengine-us-data/enhanced_cps_2024.h5@1.77.0"], + years=[], + ) + + materialize.assert_called_once_with( + "gs://policyengine-us-data/enhanced_cps_2024.h5@1.77.0" + ) + microsimulation.assert_called_once_with(dataset="/tmp/enhanced_cps_2024.h5") + + +def test_uk_create_datasets_passes_materialized_source_to_country_package( + monkeypatch, +): + uk_datasets = _load_module_from_path( + "_test_policyengine_uk_datasets", + REPO_ROOT / "src/policyengine/tax_benefit_models/uk/datasets.py", + ) + + materialize = Mock(return_value="/tmp/enhanced_frs_2023_24.h5") + microsimulation = Mock() + monkeypatch.setattr(uk_datasets, "materialize_dataset_source", materialize) + monkeypatch.setitem( + sys.modules, + "policyengine_uk", + SimpleNamespace(Microsimulation=microsimulation), + ) + + uk_datasets.create_datasets( + datasets=["gs://policyengine-uk-data-private/enhanced_frs_2023_24.h5@1.40.3"], + years=[], + ) + + materialize.assert_called_once_with( + "gs://policyengine-uk-data-private/enhanced_frs_2023_24.h5@1.40.3" + ) + microsimulation.assert_called_once_with(dataset="/tmp/enhanced_frs_2023_24.h5") diff --git a/tests/test_release_manifests.py b/tests/test_release_manifests.py index 42f1f26f..74a749f2 100644 --- a/tests/test_release_manifests.py +++ b/tests/test_release_manifests.py @@ -651,7 +651,17 @@ def test__given_runtime_certification__then_release_bundle_prefers_runtime_value def test__given_us_managed_microsimulation__then_passes_certified_dataset_and_bundle( self, ): - with patch("policyengine_us.Microsimulation") as mock_microsimulation: + mock_microsimulation = MagicMock() + with ( + patch.dict( + sys.modules, + {"policyengine_us": MagicMock(Microsimulation=mock_microsimulation)}, + ), + patch( + "policyengine.tax_benefit_models.us.model.materialize_dataset_source", + return_value="/tmp/enhanced_cps_2024.h5", + ), + ): microsim = managed_us_microsimulation() dataset = mock_microsimulation.call_args.kwargs["dataset"] @@ -665,37 +675,49 @@ def test__given_us_managed_microsimulation__then_passes_certified_dataset_and_bu == us_latest.default_dataset_uri ) dataset_source = microsim.policyengine_bundle["runtime_dataset_source"] - assert dataset_source == us_latest.default_dataset_uri or str( - dataset_source - ).endswith("policyengine_us_data/storage/enhanced_cps_2024.h5") + assert dataset_source == "/tmp/enhanced_cps_2024.h5" def test__given_us_unmanaged_dataset_uri__then_source_is_not_rewritten(self): dataset = "hf://policyengine/policyengine-us-data/cps_2023.h5@1.73.0" - with patch("policyengine_us.Microsimulation") as mock_microsimulation: + mock_microsimulation = MagicMock() + with ( + patch.dict( + sys.modules, + {"policyengine_us": MagicMock(Microsimulation=mock_microsimulation)}, + ), + patch( + "policyengine.tax_benefit_models.us.model.materialize_dataset_source", + return_value="/tmp/cps_2023.h5", + ), + ): microsim = managed_us_microsimulation( dataset=dataset, allow_unmanaged=True, ) - assert mock_microsimulation.call_args.kwargs["dataset"] == dataset + assert mock_microsimulation.call_args.kwargs["dataset"] == "/tmp/cps_2023.h5" assert microsim.policyengine_bundle["runtime_dataset_uri"] == dataset - assert microsim.policyengine_bundle["runtime_dataset_source"] == dataset + assert microsim.policyengine_bundle["runtime_dataset_source"] == ( + "/tmp/cps_2023.h5" + ) def test__given_uk_managed_dataset_name__then_resolves_within_bundle(self): - with patch("policyengine_uk.Microsimulation") as mock_microsimulation: + mock_microsimulation = MagicMock() + with ( + patch.dict( + sys.modules, + {"policyengine_uk": MagicMock(Microsimulation=mock_microsimulation)}, + ), + patch( + "policyengine.tax_benefit_models.uk.model.materialize_dataset_source", + return_value="/tmp/enhanced_frs_2023_24.h5", + ), + ): microsim = managed_uk_microsimulation(dataset="enhanced_frs_2023_24") dataset = mock_microsimulation.call_args.kwargs["dataset"] - from policyengine_uk.data.dataset_schema import UKSingleYearDataset - - if isinstance(dataset, UKSingleYearDataset): - assert getattr(dataset, "time_period", None) == "2023" - else: - assert dataset == ( - "hf://policyengine/policyengine-uk-data-private/" - "enhanced_frs_2023_24.h5@655dd07e4bb9c777b00dac044949611f1feb824f" - ) + assert dataset == "/tmp/enhanced_frs_2023_24.h5" assert ( microsim.policyengine_bundle["policyengine_version"] == POLICYENGINE_VERSION ) @@ -704,23 +726,31 @@ def test__given_uk_managed_dataset_name__then_resolves_within_bundle(self): "hf://policyengine/policyengine-uk-data-private/enhanced_frs_2023_24.h5@655dd07e4bb9c777b00dac044949611f1feb824f" ) dataset_source = microsim.policyengine_bundle["runtime_dataset_source"] - assert ( - dataset_source - == "hf://policyengine/policyengine-uk-data-private/enhanced_frs_2023_24.h5@655dd07e4bb9c777b00dac044949611f1feb824f" - or str(dataset_source).endswith( - "policyengine_uk_data/storage/enhanced_frs_2023_24.h5" - ) - ) + assert dataset_source == "/tmp/enhanced_frs_2023_24.h5" def test__given_uk_unmanaged_dataset_uri__then_source_is_not_rewritten(self): dataset = "hf://policyengine/policyengine-uk-data-private/frs_2022_23.h5@1.40.4" - with patch("policyengine_uk.Microsimulation") as mock_microsimulation: + mock_microsimulation = MagicMock() + with ( + patch.dict( + sys.modules, + {"policyengine_uk": MagicMock(Microsimulation=mock_microsimulation)}, + ), + patch( + "policyengine.tax_benefit_models.uk.model.materialize_dataset_source", + return_value="/tmp/frs_2022_23.h5", + ), + ): microsim = managed_uk_microsimulation( dataset=dataset, allow_unmanaged=True, ) - assert mock_microsimulation.call_args.kwargs["dataset"] == dataset + assert mock_microsimulation.call_args.kwargs["dataset"] == ( + "/tmp/frs_2022_23.h5" + ) assert microsim.policyengine_bundle["runtime_dataset_uri"] == dataset - assert microsim.policyengine_bundle["runtime_dataset_source"] == dataset + assert microsim.policyengine_bundle["runtime_dataset_source"] == ( + "/tmp/frs_2022_23.h5" + ) diff --git a/uv.lock b/uv.lock index e7d77e6f..dc4aacff 100644 --- a/uv.lock +++ b/uv.lock @@ -2,10 +2,12 @@ version = 1 revision = 3 requires-python = ">=3.9" resolution-markers = [ - "python_full_version >= '3.12'", + "python_full_version >= '3.13'", + "python_full_version == '3.12.*'", "python_full_version == '3.11.*'", "python_full_version == '3.10.*'", - "python_full_version < '3.10'", + "python_full_version > '3.9' and python_full_version < '3.10'", + "python_full_version <= '3.9'", ] [[package]] @@ -123,7 +125,8 @@ name = "blosc2" version = "2.5.1" source = { registry = "https://pypi.org/simple" } resolution-markers = [ - "python_full_version < '3.10'", + "python_full_version > '3.9' and python_full_version < 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2026 01:34:10 +0200 Subject: [PATCH 2/2] Fix managed microsimulation test fakes --- tests/test_release_manifests.py | 39 +++++++++++++++++++++++++++++---- 1 file changed, 35 insertions(+), 4 deletions(-) diff --git a/tests/test_release_manifests.py b/tests/test_release_manifests.py index 74a749f2..c7a9f967 100644 --- a/tests/test_release_manifests.py +++ b/tests/test_release_manifests.py @@ -7,6 +7,7 @@ import subprocess import sys from pathlib import Path +from types import ModuleType from unittest.mock import MagicMock, patch from requests import Timeout @@ -64,6 +65,16 @@ def _response_with_json(payload: dict) -> MagicMock: return response +def _country_module_with_microsimulation( + name: str, + microsimulation: MagicMock, +) -> ModuleType: + module = ModuleType(name) + module.Microsimulation = microsimulation + module.__file__ = str(Path(__file__).resolve()) + return module + + class TestReleaseManifests: """Tests for bundled country manifests.""" @@ -655,7 +666,12 @@ def 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