Lazy load modules (#1590)

* lazy load module Signed-off-by: Kevin Su <pingsutw@apache.org> * lazy load module Signed-off-by: Kevin Su <pingsutw@apache.org> * import Signed-off-by: Kevin Su <pingsutw@apache.org> * nit Signed-off-by: Kevin Su <pingsutw@apache.org> * nit Signed-off-by: Kevin Su <pingsutw@apache.org> * nit Signed-off-by: Kevin Su <pingsutw@apache.org> * keep structured dataset in flytekit init Signed-off-by: Kevin Su <pingsutw@apache.org> * nit Signed-off-by: Kevin Su <pingsutw@apache.org> * nit Signed-off-by: Kevin Su <pingsutw@apache.org> * fixed tess Signed-off-by: Kevin Su <pingsutw@apache.org> * nit Signed-off-by: Kevin Su <pingsutw@apache.org> * fixed tests Signed-off-by: Kevin Su <pingsutw@apache.org> * fixed tests Signed-off-by: Kevin Su <pingsutw@apache.org> * nit Signed-off-by: Kevin Su <pingsutw@apache.org> * move import pandas to __init__ Signed-off-by: Kevin Su <pingsutw@apache.org> * use lazy import loader instead Signed-off-by: Kevin Su <pingsutw@apache.org> * Fixed tests Signed-off-by: Kevin Su <pingsutw@apache.org> * Fixed tests Signed-off-by: Kevin Su <pingsutw@apache.org> * wip Signed-off-by: Kevin Su <pingsutw@apache.org> * fix tests Signed-off-by: Kevin Su <pingsutw@apache.org> * regular import Signed-off-by: Kevin Su <pingsutw@apache.org> * fixed tests Signed-off-by: Kevin Su <pingsutw@apache.org> * test Signed-off-by: Kevin Su <pingsutw@apache.org> * lint Signed-off-by: Kevin Su <pingsutw@apache.org> * nit Signed-off-by: Kevin Su <pingsutw@apache.org> * lint Signed-off-by: Kevin Su <pingsutw@apache.org> --------- Signed-off-by: Kevin Su <pingsutw@apache.org>
flyteorg · May 16, 2023 · 5a66411 · 5a66411
1 parent d778232
commit 5a66411
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Showing 23 changed files with 259 additions and 142 deletions.
diff --git a/flytekit/__init__.py b/flytekit/__init__.py
@@ -198,6 +198,8 @@
 
 from rich import traceback
 
+from flytekit.lazy_import.lazy_module import lazy_module
+
 if sys.version_info < (3, 10):
     from importlib_metadata import entry_points
 else:
@@ -225,7 +227,6 @@
 from flytekit.core.workflow import ImperativeWorkflow as Workflow
 from flytekit.core.workflow import WorkflowFailurePolicy, reference_workflow, workflow
 from flytekit.deck import Deck
-from flytekit.extras import pytorch, sklearn, tensorflow
 from flytekit.image_spec import ImageSpec
 from flytekit.loggers import logger
 from flytekit.models.common import Annotations, AuthRole, Labels
@@ -234,7 +235,7 @@
 from flytekit.models.documentation import Description, Documentation, SourceCode
 from flytekit.models.literals import Blob, BlobMetadata, Literal, Scalar
 from flytekit.models.types import LiteralType
-from flytekit.types import directory, file, numpy, schema
+from flytekit.types import directory, file
 from flytekit.types.structured.structured_dataset import (
     StructuredDataset,
     StructuredDatasetFormat,

diff --git a/flytekit/configuration/__init__.py b/flytekit/configuration/__init__.py
@@ -145,7 +145,6 @@
 
 import yaml
 from dataclasses_json import dataclass_json
-from docker_image import reference
 
 from flytekit.configuration import internal as _internal
 from flytekit.configuration.default_images import DefaultImages
@@ -208,6 +207,8 @@ def look_up_image_info(name: str, tag: str, optional_tag: bool = False) -> Image
         :param Text tag: e.g. somedocker.com/myimage:someversion123
         :rtype: Text
         """
+        from docker_image import reference
+
         if pathlib.Path(tag).is_file():
             with open(tag, "r") as f:
                 image_spec_dict = yaml.safe_load(f)

diff --git a/flytekit/core/base_task.py b/flytekit/core/base_task.py
@@ -39,7 +39,6 @@
 from flytekit.core.tracker import TrackedInstance
 from flytekit.core.type_engine import TypeEngine, TypeTransformerFailedError
 from flytekit.core.utils import timeit
-from flytekit.deck.deck import Deck
 from flytekit.loggers import logger
 from flytekit.models import dynamic_job as _dynamic_job
 from flytekit.models import interface as _interface_models
@@ -578,6 +577,8 @@ def dispatch_execute(
                         raise TypeError(msg) from e
 
             if self._disable_deck is False:
+                from flytekit.deck.deck import Deck
+
                 INPUT = "input"
                 OUTPUT = "output"
 

diff --git a/flytekit/core/container_task.py b/flytekit/core/container_task.py
@@ -49,7 +49,7 @@ def __init__(
         metadata_format: MetadataFormat = MetadataFormat.JSON,
         io_strategy: IOStrategy = None,
         secret_requests: Optional[List[Secret]] = None,
-        pod_template: Optional[PodTemplate] = None,
+        pod_template: Optional["PodTemplate"] = None,
         pod_template_name: Optional[str] = None,
         **kwargs,
     ):

diff --git a/flytekit/core/context_manager.py b/flytekit/core/context_manager.py
@@ -27,7 +27,6 @@
 from enum import Enum
 from typing import Generator, List, Optional, Union
 
-from flytekit.clients import friendly as friendly_client  # noqa
 from flytekit.configuration import Config, SecretsConfig, SerializationSettings
 from flytekit.core import mock_stats, utils
 from flytekit.core.checkpointer import Checkpoint, SyncCheckpoint
@@ -39,7 +38,8 @@
 from flytekit.models.core import identifier as _identifier
 
 if typing.TYPE_CHECKING:
-    from flytekit.deck.deck import Deck
+    from flytekit import Deck
+    from flytekit.clients import friendly as friendly_client  # noqa
 
 # TODO: resolve circular import from flytekit.core.python_auto_container import TaskResolverMixin
 
@@ -262,7 +262,7 @@ def decks(self) -> typing.List:
 
     @property
     def default_deck(self) -> Deck:
-        from flytekit.deck.deck import Deck
+        from flytekit import Deck
 
         return Deck("default")
 
@@ -551,7 +551,7 @@ class FlyteContext(object):
 
     file_access: FileAccessProvider
     level: int = 0
-    flyte_client: Optional[friendly_client.SynchronousFlyteClient] = None
+    flyte_client: Optional["friendly_client.SynchronousFlyteClient"] = None
     compilation_state: Optional[CompilationState] = None
     execution_state: Optional[ExecutionState] = None
     serialization_settings: Optional[SerializationSettings] = None
@@ -660,7 +660,7 @@ class Builder(object):
         level: int = 0
         compilation_state: Optional[CompilationState] = None
         execution_state: Optional[ExecutionState] = None
-        flyte_client: Optional[friendly_client.SynchronousFlyteClient] = None
+        flyte_client: Optional["friendly_client.SynchronousFlyteClient"] = None
         serialization_settings: Optional[SerializationSettings] = None
         in_a_condition: bool = False
 

diff --git a/flytekit/core/local_cache.py b/flytekit/core/local_cache.py
@@ -1,10 +1,12 @@
 from typing import Optional
 
-import joblib
 from diskcache import Cache
 
+from flytekit import lazy_module
 from flytekit.models.literals import Literal, LiteralCollection, LiteralMap
 
+joblib = lazy_module("joblib")
+
 # Location on the filesystem where serialized objects will be stored
 # TODO: read from config
 CACHE_LOCATION = "~/.flyte/local-cache"

diff --git a/flytekit/core/pod_template.py b/flytekit/core/pod_template.py
@@ -1,22 +1,27 @@
 from dataclasses import dataclass
-from typing import Dict, Optional
-
-from kubernetes.client.models import V1PodSpec
+from typing import TYPE_CHECKING, Dict, Optional
 
 from flytekit.exceptions import user as _user_exceptions
 
+if TYPE_CHECKING:
+    from kubernetes.client import V1PodSpec
+
 PRIMARY_CONTAINER_DEFAULT_NAME = "primary"
 
 
-@dataclass
+@dataclass(init=True, repr=True, eq=True, frozen=False)
 class PodTemplate(object):
     """Custom PodTemplate specification for a Task."""
 
-    pod_spec: V1PodSpec = V1PodSpec(containers=[])
+    pod_spec: Optional["V1PodSpec"] = None
     primary_container_name: str = PRIMARY_CONTAINER_DEFAULT_NAME
     labels: Optional[Dict[str, str]] = None
     annotations: Optional[Dict[str, str]] = None
 
     def __post_init__(self):
+        if self.pod_spec is None:
+            from kubernetes.client import V1PodSpec
+
+            self.pod_spec = V1PodSpec(containers=[])
         if not self.primary_container_name:
             raise _user_exceptions.FlyteValidationException("A primary container name cannot be undefined")
diff --git a/flytekit/core/task.py b/flytekit/core/task.py
@@ -94,7 +94,7 @@ def task(
     task_resolver: Optional[TaskResolverMixin] = None,
     docs: Optional[Documentation] = None,
     disable_deck: bool = True,
-    pod_template: Optional[PodTemplate] = None,
+    pod_template: Optional["PodTemplate"] = None,
     pod_template_name: Optional[str] = None,
 ) -> Union[Callable, PythonFunctionTask]:
     """

diff --git a/flytekit/core/type_engine.py b/flytekit/core/type_engine.py
@@ -22,7 +22,6 @@
 from google.protobuf.json_format import ParseDict as _ParseDict
 from google.protobuf.struct_pb2 import Struct
 from marshmallow_enum import EnumField, LoadDumpOptions
-from marshmallow_jsonschema import JSONSchema
 from typing_extensions import Annotated, get_args, get_origin
 
 from flytekit.core.annotation import FlyteAnnotation
@@ -31,6 +30,7 @@
 from flytekit.core.type_helpers import load_type_from_tag
 from flytekit.core.utils import timeit
 from flytekit.exceptions import user as user_exceptions
+from flytekit.lazy_import.lazy_module import is_imported
 from flytekit.loggers import logger
 from flytekit.models import interface as _interface_models
 from flytekit.models import types as _type_models
@@ -329,6 +329,8 @@ def get_literal_type(self, t: Type[T]) -> LiteralType:
                 # https://github.com/fuhrysteve/marshmallow-jsonschema/blob/81eada1a0c42ff67de216923968af0a6b54e5dcb/marshmallow_jsonschema/base.py#L228
                 if isinstance(v, EnumField):
                     v.load_by = LoadDumpOptions.name
+            from marshmallow_jsonschema import JSONSchema
+
             schema = JSONSchema().dump(s)
         except Exception as e:
             # https://github.com/lovasoa/marshmallow_dataclass/issues/13
@@ -376,7 +378,7 @@ def _get_origin_type_in_annotation(self, python_type: Type[T]) -> Type[T]:
     def _fix_structured_dataset_type(self, python_type: Type[T], python_val: typing.Any) -> T:
         # In python 3.7, 3.8, DataclassJson will deserialize Annotated[StructuredDataset, kwtypes(..)] to a dict,
         # so here we convert it back to the Structured Dataset.
-        from flytekit import StructuredDataset
+        from flytekit.types.structured import StructuredDataset
 
         if python_type == StructuredDataset and type(python_val) == dict:
             return StructuredDataset(**python_val)
@@ -659,7 +661,8 @@ class TypeEngine(typing.Generic[T]):
 
     _REGISTRY: typing.Dict[type, TypeTransformer[T]] = {}
     _RESTRICTED_TYPES: typing.List[type] = []
-    _DATACLASS_TRANSFORMER: TypeTransformer = DataclassTransformer()
+    _DATACLASS_TRANSFORMER: TypeTransformer = DataclassTransformer()  # type: ignore
+    has_lazy_import = False
 
     @classmethod
     def register(
@@ -717,7 +720,7 @@ def get_transformer(cls, python_type: Type) -> TypeTransformer[T]:
         Step 4:
             if v is of type data class, use the dataclass transformer
         """
-
+        cls.lazy_import_transformers()
         # Step 1
         if get_origin(python_type) is Annotated:
             python_type = get_args(python_type)[0]
@@ -759,6 +762,39 @@ def get_transformer(cls, python_type: Type) -> TypeTransformer[T]:
 
         raise ValueError(f"Type {python_type} not supported currently in Flytekit. Please register a new transformer")
 
+    @classmethod
+    def lazy_import_transformers(cls):
+        """
+        Only load the transformers if needed.
+        """
+        if cls.has_lazy_import:
+            return
+        cls.has_lazy_import = True
+        from flytekit.types.structured import (
+            register_arrow_handlers,
+            register_bigquery_handlers,
+            register_pandas_handlers,
+        )
+
+        if is_imported("tensorflow"):
+            from flytekit.extras import tensorflow  # noqa: F401
+        if is_imported("torch"):
+            from flytekit.extras import pytorch  # noqa: F401
+        if is_imported("sklearn"):
+            from flytekit.extras import sklearn  # noqa: F401
+        if is_imported("pandas"):
+            try:
+                from flytekit.types import schema  # noqa: F401
+            except ValueError:
+                logger.debug("Transformer for pandas is already registered.")
+            register_pandas_handlers()
+        if is_imported("pyarrow"):
+            register_arrow_handlers()
+        if is_imported("google.cloud.bigquery"):
+            register_bigquery_handlers()
+        if is_imported("numpy"):
+            from flytekit.types import numpy  # noqa: F401
+
     @classmethod
     def to_literal_type(cls, python_type: Type) -> LiteralType:
         """

diff --git a/flytekit/core/utils.py b/flytekit/core/utils.py
@@ -6,15 +6,15 @@
 from functools import wraps
 from hashlib import sha224 as _sha224
 from pathlib import Path
-from typing import Any, Callable, Dict, List, Optional, cast
+from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, cast
 
 from flyteidl.core import tasks_pb2 as _core_task
-from kubernetes.client import ApiClient
-from kubernetes.client.models import V1Container, V1EnvVar, V1ResourceRequirements
 
 from flytekit.core.pod_template import PodTemplate
 from flytekit.loggers import logger
-from flytekit.models import task as _task_model
+
+if TYPE_CHECKING:
+    from flytekit.models import task as task_models
 
 
 def _dnsify(value: str) -> str:
@@ -58,8 +58,8 @@ def _dnsify(value: str) -> str:
 def _get_container_definition(
     image: str,
     command: List[str],
-    args: List[str],
-    data_loading_config: Optional[_task_models.DataLoadingConfig] = None,
+    args: Optional[List[str]] = None,
+    data_loading_config: Optional["task_models.DataLoadingConfig"] = None,
     storage_request: Optional[str] = None,
     ephemeral_storage_request: Optional[str] = None,
     cpu_request: Optional[str] = None,
@@ -71,7 +71,7 @@ def _get_container_definition(
     gpu_limit: Optional[str] = None,
     memory_limit: Optional[str] = None,
     environment: Optional[Dict[str, str]] = None,
-) -> _task_models.Container:
+) -> "task_models.Container":
     storage_limit = storage_limit
     storage_request = storage_request
     ephemeral_storage_limit = ephemeral_storage_limit
@@ -83,6 +83,9 @@ def _get_container_definition(
     memory_limit = memory_limit
     memory_request = memory_request
 
+    from flytekit.models import task as task_models
+
+    # TODO: Use convert_resources_to_resource_model instead of manually fixing the resources.
     requests = []
     if storage_request:
         requests.append(
@@ -133,12 +136,17 @@ def _get_container_definition(
     )
 
 
-def _sanitize_resource_name(resource: _task_model.Resources.ResourceEntry) -> str:
+def _sanitize_resource_name(resource: "task_models.Resources.ResourceEntry") -> str:
     return _core_task.Resources.ResourceName.Name(resource.name).lower().replace("_", "-")
 
 
-def _serialize_pod_spec(pod_template: PodTemplate, primary_container: _task_model.Container) -> Dict[str, Any]:
-    containers = cast(PodTemplate, pod_template).pod_spec.containers
+def _serialize_pod_spec(pod_template: "PodTemplate", primary_container: "task_models.Container") -> Dict[str, Any]:
+    from kubernetes.client import ApiClient, V1PodSpec
+    from kubernetes.client.models import V1Container, V1EnvVar, V1ResourceRequirements
+
+    if pod_template.pod_spec is None:
+        return {}
+    containers = cast(V1PodSpec, pod_template.pod_spec).containers
     primary_exists = False
 
     for container in containers:
@@ -173,7 +181,7 @@ def _serialize_pod_spec(pod_template: PodTemplate, primary_container: _task_mode
                     container.env or []
                 )
         final_containers.append(container)
-    cast(PodTemplate, pod_template).pod_spec.containers = final_containers
+    cast(V1PodSpec, pod_template.pod_spec).containers = final_containers
 
     return ApiClient().sanitize_for_serialization(cast(PodTemplate, pod_template).pod_spec)