From f5f3c3d00af1e81d4746cdaa09bf0f4c4c2ae8d6 Mon Sep 17 00:00:00 2001 From: Akash Malbari Date: Fri, 29 May 2026 11:16:37 -0400 Subject: [PATCH 1/2] fix: reduce driver/base import overhead --- hamilton/base.py | 48 +++++++++++++++---- hamilton/driver.py | 109 ++++++++++++++++++++++++++++++++++-------- tests/test_imports.py | 27 +++++++++++ 3 files changed, 155 insertions(+), 29 deletions(-) create mode 100644 tests/test_imports.py diff --git a/hamilton/base.py b/hamilton/base.py index 0cdedaec0..f2352019f 100644 --- a/hamilton/base.py +++ b/hamilton/base.py @@ -16,29 +16,54 @@ # under the License. """This module contains base constructs for executing a hamilton graph. -It should only import hamilton.node, numpy, pandas. +It should keep imports light and defer pandas/numpy until result builders need them. It cannot import hamilton.graph, or hamilton.driver. """ +from __future__ import annotations + import abc import collections import logging -from typing import Any +from typing import TYPE_CHECKING, Any + +if TYPE_CHECKING: + import numpy as np + import pandas as pd -import numpy as np -import pandas as pd -from pandas.core.indexes import extension as pd_extension + try: + from . import node + except ImportError: + import node from hamilton.lifecycle import api as lifecycle_api try: - from . import htypes, node + from . import htypes except ImportError: - import node + import htypes logger = logging.getLogger(__name__) +def _get_pandas(): + import pandas as pd + + return pd + + +def _get_pandas_extension(): + from pandas.core.indexes import extension as pd_extension + + return pd_extension + + +def _get_numpy(): + import numpy as np + + return np + + class ResultMixin(lifecycle_api.LegacyResultMixin): """Legacy result builder -- see lifecycle methods for more information.""" @@ -123,6 +148,8 @@ def pandas_index_types( all_index_types = collections.defaultdict(list) time_indexes = collections.defaultdict(list) no_indexes = collections.defaultdict(list) + pd = _get_pandas() + pd_extension = _get_pandas_extension() def index_key_name(pd_object: pd.DataFrame | pd.Series) -> str: """Creates a string helping identify the index and it's type. @@ -221,6 +248,7 @@ def build_result(**outputs: dict[str, Any]) -> pd.DataFrame: :param outputs: the outputs to build a dataframe from. """ # TODO check inputs are pd.Series, arrays, or scalars -- else error + pd = _get_pandas() output_index_type_tuple = PandasDataFrameResult.pandas_index_types(outputs) # this next line just log warnings # we don't actually care about the result since this is the current default behavior. @@ -255,6 +283,7 @@ def build_dataframe_with_dataframes(outputs: dict[str, Any]) -> pd.DataFrame: :param outputs: The outputs to build the dataframe from. :return: A dataframe with the outputs. """ + pd = _get_pandas() def get_output_name(output_name: str, column_name: str) -> str: """Add function prefix to columns. @@ -300,7 +329,7 @@ def input_types(self) -> list[type[type]]: return [Any] def output_type(self) -> type: - return pd.DataFrame + return _get_pandas().DataFrame class StrictIndexTypePandasDataFrameResult(PandasDataFrameResult): @@ -366,6 +395,7 @@ def build_result(**outputs: dict[str, Any]) -> np.matrix: :return: numpy matrix """ # TODO check inputs are all numpy arrays/array like things -- else error + np = _get_numpy() num_rows = -1 columns_with_lengths = collections.OrderedDict() for col, val in outputs.items(): # assumption is fixed order @@ -402,7 +432,7 @@ def input_types(self) -> list[type[type]]: return [Any] # Typing def output_type(self) -> type: - return pd.DataFrame + return _get_pandas().DataFrame class HamiltonGraphAdapter(lifecycle_api.GraphAdapter, abc.ABC): diff --git a/hamilton/driver.py b/hamilton/driver.py index 541b1da02..10204fe22 100644 --- a/hamilton/driver.py +++ b/hamilton/driver.py @@ -15,13 +15,14 @@ # specific language governing permissions and limitations # under the License. +from __future__ import annotations + import abc import importlib import importlib.util import json import logging import operator -import pathlib import sys # required if we want to run this code stand alone. @@ -30,26 +31,30 @@ import warnings from collections.abc import Callable, Collection, Sequence from datetime import datetime -from types import ModuleType from typing import ( + TYPE_CHECKING, Any, Literal, Optional, ) -import pandas as pd from typing_extensions import Self from hamilton import common, graph_types, htypes -from hamilton.caching.adapter import HamiltonCacheAdapter -from hamilton.caching.stores.base import MetadataStore, ResultStore from hamilton.dev_utils import deprecation from hamilton.execution import executors, graph_functions, grouping, state from hamilton.graph_types import HamiltonNode -from hamilton.io import materialization -from hamilton.io.materialization import ExtractorFactory, MaterializerFactory from hamilton.lifecycle import base as lifecycle_base +if TYPE_CHECKING: + import pathlib + from types import ModuleType + + from hamilton.caching.adapter import HamiltonCacheAdapter + from hamilton.caching.stores.base import MetadataStore, ResultStore + from hamilton.io import materialization + from hamilton.io.materialization import ExtractorFactory, MaterializerFactory + SLACK_ERROR_MESSAGE = ( "-------------------------------------------------------------------\n" "Oh no an error! Need help with Hamilton?\n" @@ -59,14 +64,66 @@ if __name__ == "__main__": import base - import graph import node else: - from . import base, graph, node + from . import base, node logger = logging.getLogger(__name__) +class _LazyModule: + def __init__(self, module_name: str, global_name: str): + self.module_name = module_name + self.global_name = global_name + + def _load(self) -> ModuleType: + module = importlib.import_module(self.module_name) + globals()[self.global_name] = module + return module + + def __getattr__(self, name: str) -> Any: + return getattr(self._load(), name) + + +graph = _LazyModule("hamilton.graph", "graph") + + +def _get_hamilton_cache_adapter(): + from hamilton.caching.adapter import HamiltonCacheAdapter + + return HamiltonCacheAdapter + + +def _get_materialization(): + return importlib.import_module("hamilton.io.materialization") + + +def _get_materializer_types(): + materialization = _get_materialization() + return materialization.MaterializerFactory, materialization.ExtractorFactory + + +_LAZY_IMPORTS = { + "HamiltonCacheAdapter": ("hamilton.caching.adapter", "HamiltonCacheAdapter"), + "MetadataStore": ("hamilton.caching.stores.base", "MetadataStore"), + "ResultStore": ("hamilton.caching.stores.base", "ResultStore"), + "ExtractorFactory": ("hamilton.io.materialization", "ExtractorFactory"), + "MaterializerFactory": ("hamilton.io.materialization", "MaterializerFactory"), + "materialization": ("hamilton.io.materialization", None), +} + + +def __getattr__(name: str) -> Any: + """Lazily expose names that used to be imported at module load.""" + if name in _LAZY_IMPORTS: + module_name, attr_name = _LAZY_IMPORTS[name] + module = importlib.import_module(module_name) + value = module if attr_name is None else getattr(module, attr_name) + globals()[name] = value + return value + raise AttributeError(f"module {__name__!r} has no attribute {name!r}") + + def capture_function_usage(call_fn: Callable) -> Callable: """No-op decorator kept for backwards compatibility. @@ -400,7 +457,7 @@ def __init__( | list[lifecycle_base.LifecycleAdapter] | None = None, allow_module_overrides: bool = False, - _materializers: typing.Sequence[ExtractorFactory | MaterializerFactory] = None, + _materializers: typing.Sequence["ExtractorFactory | MaterializerFactory"] | None = None, _graph_executor: GraphExecutor = None, _use_legacy_adapter: bool = True, ): @@ -440,6 +497,7 @@ def __init__( materializer_factories, extractor_factories = self._process_materializers( _materializers ) + materialization = _get_materialization() self.graph = materialization.modify_graph( self.graph, materializer_factories, extractor_factories ) @@ -1347,8 +1405,8 @@ def visualize_path_between( logger.warning(f"Unable to import {e}", exc_info=True) def _process_materializers( - self, materializers: typing.Sequence[MaterializerFactory | ExtractorFactory] - ) -> tuple[list[MaterializerFactory], list[ExtractorFactory]]: + self, materializers: "typing.Sequence[MaterializerFactory | ExtractorFactory]" + ) -> "tuple[list[MaterializerFactory], list[ExtractorFactory]]": """Processes materializers, splitting them into materializers and extractors. Note that this also sanitizes the variable names in the materializer dependencies, so one can pass in functions instead of strings. @@ -1356,6 +1414,7 @@ def _process_materializers( :param materializers: Materializers to process :return: Tuple of materializers and extractors """ + MaterializerFactory, ExtractorFactory = _get_materializer_types() module_set = {_module.__name__ for _module in self.graph_modules} materializer_factories = [ m.sanitize_dependencies(module_set) @@ -1368,7 +1427,7 @@ def _process_materializers( @capture_function_usage def materialize( self, - *materializers: materialization.MaterializerFactory | materialization.ExtractorFactory, + *materializers: "materialization.MaterializerFactory | materialization.ExtractorFactory", additional_vars: list[str | Callable | Variable] = None, overrides: dict[str, Any] = None, inputs: dict[str, Any] = None, @@ -1546,6 +1605,7 @@ def materialize( # This is so the finally logging statement does not accidentally die materializer_vars = [] try: + materialization = _get_materialization() materializer_factories, extractor_factories = self._process_materializers(materializers) if len(materializer_factories) == len(final_vars) == 0: raise ValueError( @@ -1614,7 +1674,7 @@ def materialize( @capture_function_usage def visualize_materialization( self, - *materializers: MaterializerFactory | ExtractorFactory, + *materializers: "MaterializerFactory | ExtractorFactory", output_file_path: str = None, render_kwargs: dict = None, additional_vars: list[str | Callable | Variable] = None, @@ -1655,6 +1715,7 @@ def visualize_materialization( """ if additional_vars is None: additional_vars = [] + materialization = _get_materialization() materializer_factories, extractor_factories = self._process_materializers(materializers) function_graph = materialization.modify_graph( self.graph, materializer_factories, extractor_factories @@ -1701,7 +1762,7 @@ def validate_execution( def validate_materialization( self, - *materializers: materialization.MaterializerFactory, + *materializers: "materialization.MaterializerFactory", additional_vars: list[str | Callable | Variable] = None, overrides: dict[str, Any] = None, inputs: dict[str, Any] = None, @@ -1719,6 +1780,7 @@ def validate_materialization( additional_vars = [] final_vars = self._create_final_vars(additional_vars) module_set = {_module.__name__ for _module in self.graph_modules} + materialization = _get_materialization() materializer_factories, extractor_factories = self._process_materializers(materializers) materializer_factories = [ m.sanitize_dependencies(module_set) for m in materializer_factories @@ -1737,8 +1799,9 @@ def validate_materialization( self.graph_executor.validate(list(all_nodes)) @property - def cache(self) -> HamiltonCacheAdapter: + def cache(self) -> "HamiltonCacheAdapter": """Directly access the cache adapter""" + HamiltonCacheAdapter = _get_hamilton_cache_adapter() if self.adapter: for adapter in self.adapter.adapters: if isinstance(adapter, HamiltonCacheAdapter): @@ -1835,6 +1898,7 @@ def with_adapters(self, *adapters: lifecycle_base.LifecycleAdapter) -> Self: :param adapter: Adapter to use. :return: self """ + HamiltonCacheAdapter = _get_hamilton_cache_adapter() if any(isinstance(adapter, HamiltonCacheAdapter) for adapter in adapters): self._require_field_unset( "cache", "Cannot use `.with_cache()` or with `.with_adapters(SmartCacheAdapter())`." @@ -1843,13 +1907,14 @@ def with_adapters(self, *adapters: lifecycle_base.LifecycleAdapter) -> Self: self.adapters.extend(adapters) return self - def with_materializers(self, *materializers: ExtractorFactory | MaterializerFactory) -> Self: + def with_materializers(self, *materializers: "ExtractorFactory | MaterializerFactory") -> Self: """Add materializer nodes to the `Driver` The generated nodes can be referenced by name in `.execute()` :param materializers: materializers to add to the dataflow :return: self """ + MaterializerFactory, ExtractorFactory = _get_materializer_types() if any( m for m in materializers if not isinstance(m, (ExtractorFactory, MaterializerFactory)) ): @@ -1868,8 +1933,8 @@ def with_materializers(self, *materializers: ExtractorFactory | MaterializerFact def with_cache( self, path: str | pathlib.Path = ".hamilton_cache", - metadata_store: MetadataStore | None = None, - result_store: ResultStore | None = None, + metadata_store: "MetadataStore" | None = None, + result_store: "ResultStore" | None = None, default: Literal[True] | Sequence[str] | None = None, recompute: Literal[True] | Sequence[str] | None = None, ignore: Literal[True] | Sequence[str] | None = None, @@ -1920,6 +1985,7 @@ def with_cache( self._require_field_unset( "cache", "Cannot use `.with_cache()` or with `.with_adapters(SmartCacheAdapter())`." ) + HamiltonCacheAdapter = _get_hamilton_cache_adapter() adapter = HamiltonCacheAdapter( path=path, metadata_store=metadata_store, @@ -1937,12 +2003,13 @@ def with_cache( return self @property - def cache(self) -> HamiltonCacheAdapter | None: + def cache(self) -> "HamiltonCacheAdapter" | None: """Attribute to check if a cache was set, either via `.with_cache()` or `.with_adapters(SmartCacheAdapter())` Required for the check `._require_field_unset()` """ + HamiltonCacheAdapter = _get_hamilton_cache_adapter() if self.adapters: for adapter in self.adapters: if isinstance(adapter, HamiltonCacheAdapter): @@ -2083,6 +2150,8 @@ def copy(self) -> "Builder": """some example test code""" import importlib + import pandas as pd + formatter = logging.Formatter("[%(levelname)s] %(asctime)s %(name)s(%(lineno)s): %(message)s") stream_handler = logging.StreamHandler(sys.stdout) stream_handler.setFormatter(formatter) diff --git a/tests/test_imports.py b/tests/test_imports.py new file mode 100644 index 000000000..db40fd0e5 --- /dev/null +++ b/tests/test_imports.py @@ -0,0 +1,27 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + + +def test_driver_base_public_imports(): + from hamilton import base, driver + from hamilton.driver import Driver + + assert driver.Driver is Driver + assert base.DictResult().build_result(foo=1) == {"foo": 1} + assert base.DefaultAdapter().build_result(foo=1) == {"foo": 1} + assert base.PandasDataFrameResult is not None + assert base.NumpyMatrixResult is not None From 9f0f9f61ea60c273144c47f63911a776be1410b5 Mon Sep 17 00:00:00 2001 From: Akash Malbari Date: Fri, 29 May 2026 14:01:37 -0400 Subject: [PATCH 2/2] Update thread context handling --- uv.lock | 9702 +++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 9702 insertions(+) create mode 100644 uv.lock diff --git a/uv.lock b/uv.lock new file mode 100644 index 000000000..b300a8836 --- /dev/null +++ b/uv.lock @@ -0,0 +1,9702 @@ +version = 1 +revision = 3 +requires-python = ">=3.10.1, <4" +resolution-markers 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