Add support pandas 2 in flytekit

.github/workflows/pythonbuild.yml

@@ -36,7 +36,46 @@ jobs:
           key: ${{ format('{0}-pip-{1}', runner.os, hashFiles('dev-requirements.in', 'requirements.in')) }}
       - name: Install dependencies
         run: |
-          make setup && pip freeze
+          make setup
+          pip uninstall -y pandas
+          pip freeze
+      - name: Test with coverage
+        env:
+          PYTEST_OPTS: -n2
+        run: |
+          make unit_test_codecov
+      - name: Codecov
+        uses: codecov/codecov-action@v3.1.4
+        with:
+          fail_ci_if_error: false
+          files: coverage.xml
+
+  build-with-pandas:
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ ubuntu-latest ]
+        python-version: [ "3.11" ]
+        pandas: [ "pandas<2.0.0", "pandas>=2.0.0" ]
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.python-version }}
+      - name: Cache pip
+        uses: actions/cache@v3
+        with:
+          # This path is specific to Ubuntu
+          path: ~/.cache/pip
+          # Look to see if there is a cache hit for the corresponding requirements files
+          key: ${{ format('{0}-pip-{1}', runner.os, hashFiles('dev-requirements.in', 'requirements.in')) }}
+      - name: Install dependencies
+        run: |
+          make setup
+          pip install --force-reinstall "${{ matrix.pandas }}"
+          pip freeze
       - name: Test with coverage
         env:
           PYTEST_OPTS: -n2
@@ -69,8 +108,7 @@ jobs:
           # Look to see if there is a cache hit for the corresponding requirements files
           key: ${{ format('{0}-pip-{1}', runner.os, hashFiles('dev-requirements.in', 'requirements.in')) }}
       - name: Install dependencies
-        run: |
-          make setup && pip freeze
+        run: make setup && pip freeze
       - name: Test with coverage
         env:
           PYTEST_OPTS: -n2

dev-requirements.in

@@ -36,11 +36,14 @@ torch<=2.0.0; python_version>='3.11' or platform_system!='Windows'
 # Once a solution is found, this should be updated to support Windows as well.
 python-magic; (platform_system=='Darwin' or platform_system=='Linux')
 
-pillow
-scikit-learn
 types-protobuf
 types-croniter
 types-mock
 autoflake
+
+pillow
+numpy
+pandas
+scikit-learn
 types-requests
 prometheus-client

flytekit/core/type_engine.py

@@ -995,7 +995,7 @@ def lazy_import_transformers(cls):
             from flytekit.extras import sklearn  # noqa: F401
         if is_imported("pandas"):
             try:
-                from flytekit.types import schema  # noqa: F401
+                from flytekit.types.schema.types_pandas import PandasSchemaReader, PandasSchemaWriter  # noqa: F401
             except ValueError:
                 logger.debug("Transformer for pandas is already registered.")
             register_pandas_handlers()

flytekit/extras/sqlite3/task.py

@@ -6,15 +6,18 @@
 import typing
 from dataclasses import dataclass
 
-import pandas as pd
-
-from flytekit import FlyteContext, kwtypes
+from flytekit import FlyteContext, kwtypes, lazy_module
 from flytekit.configuration import DefaultImages, SerializationSettings
 from flytekit.core.base_sql_task import SQLTask
 from flytekit.core.python_customized_container_task import PythonCustomizedContainerTask
 from flytekit.core.shim_task import ShimTaskExecutor
 from flytekit.models import task as task_models
 
+if typing.TYPE_CHECKING:
+    import pandas as pd
+else:
+    pd = lazy_module("pandas")
+
 
 def unarchive_file(local_path: str, to_dir: str):
     """

flytekit/lazy_import/lazy_module.py

@@ -1,9 +1,19 @@
 import importlib.util
 import sys
+import types
 
 LAZY_MODULES = []
 
 
+class LazyModule(types.ModuleType):
+    def __init__(self, module_name: str):
+        super().__init__(module_name)
+        self._module_name = module_name
+
+    def __getattribute__(self, attr):
+        raise ImportError(f"Module {object.__getattribute__(self, '_module_name')} is not yet installed.")
+
+
 def is_imported(module_name):
     """
     This function is used to check if a module has been imported by the regular import.
@@ -24,6 +34,10 @@ def lazy_module(fullname):
         return sys.modules[fullname]
     # https://docs.python.org/3/library/importlib.html#implementing-lazy-imports
     spec = importlib.util.find_spec(fullname)
+    if spec is None:
+        # Return a lazy module if the module is not found in the python environment,
+        # so that we can raise a proper error when the user tries to access an attribute in the module.
+        return LazyModule(fullname)
     loader = importlib.util.LazyLoader(spec.loader)
     spec.loader = loader
     module = importlib.util.module_from_spec(spec)

flytekit/types/schema/__init__.py

@@ -9,4 +9,3 @@
     SchemaReader,
     SchemaWriter,
 )
-from .types_pandas import PandasSchemaReader, PandasSchemaWriter

flytekit/types/schema/types.py

@@ -10,7 +10,6 @@
 from typing import Type
 
 import numpy as _np
-import pandas
 from dataclasses_json import config
 from marshmallow import fields
 from mashumaro.mixins.json import DataClassJSONMixin
@@ -270,7 +269,7 @@ def supported_mode(self) -> SchemaOpenMode:
         return self._supported_mode
 
     def open(
-        self, dataframe_fmt: type = pandas.DataFrame, override_mode: typing.Optional[SchemaOpenMode] = None
+        self, dataframe_fmt: typing.Optional[type] = None, override_mode: typing.Optional[SchemaOpenMode] = None
     ) -> typing.Union[SchemaReader, SchemaWriter]:
         """
         Returns a reader or writer depending on the mode of the object when created. This mode can be
@@ -287,6 +286,9 @@ def open(
             raise AssertionError("Readonly schema cannot be opened in write mode!")
 
         mode = override_mode if override_mode else self._supported_mode
+        import pandas as pd
+
+        dataframe_fmt = dataframe_fmt if dataframe_fmt else pd.DataFrame
         h = SchemaEngine.get_handler(dataframe_fmt)
         if not h.handles_remote_io:
             # The Schema Handler does not manage its own IO, and this it will expect the files are on local file-system

flytekit/types/structured/basic_dfs.py

@@ -3,14 +3,11 @@
 from pathlib import Path
 from typing import TypeVar
 
-import pandas as pd
-import pyarrow as pa
-import pyarrow.parquet as pq
 from botocore.exceptions import NoCredentialsError
 from fsspec.core import split_protocol, strip_protocol
 from fsspec.utils import get_protocol
 
-from flytekit import FlyteContext, logger
+from flytekit import FlyteContext, lazy_module, logger
 from flytekit.configuration import DataConfig
 from flytekit.core.data_persistence import get_fsspec_storage_options
 from flytekit.models import literals
@@ -24,6 +21,13 @@
     StructuredDatasetEncoder,
 )
 
+if typing.TYPE_CHECKING:
+    import pandas as pd
+    import pyarrow as pa
+else:
+    pd = lazy_module("pandas")
+    pa = lazy_module("pyarrow")
+
 T = TypeVar("T")
 
 
@@ -70,7 +74,7 @@ def decode(
         ctx: FlyteContext,
         flyte_value: literals.StructuredDataset,
         current_task_metadata: StructuredDatasetMetadata,
-    ) -> pd.DataFrame:
+    ) -> "pd.DataFrame":
         uri = flyte_value.uri
         columns = None
         kwargs = get_pandas_storage_options(uri=uri, data_config=ctx.file_access.data_config)
@@ -121,7 +125,7 @@ def decode(
         ctx: FlyteContext,
         flyte_value: literals.StructuredDataset,
         current_task_metadata: StructuredDatasetMetadata,
-    ) -> pd.DataFrame:
+    ) -> "pd.DataFrame":
         uri = flyte_value.uri
         columns = None
         kwargs = get_pandas_storage_options(uri=uri, data_config=ctx.file_access.data_config)
@@ -145,6 +149,8 @@ def encode(
         structured_dataset: StructuredDataset,
         structured_dataset_type: StructuredDatasetType,
     ) -> literals.StructuredDataset:
+        import pyarrow.parquet as pq
+
         uri = typing.cast(str, structured_dataset.uri) or ctx.file_access.join(
             ctx.file_access.raw_output_prefix, ctx.file_access.get_random_string()
         )
@@ -165,7 +171,9 @@ def decode(
         ctx: FlyteContext,
         flyte_value: literals.StructuredDataset,
         current_task_metadata: StructuredDatasetMetadata,
-    ) -> pa.Table:
+    ) -> "pa.Table":
+        import pyarrow.parquet as pq
+
         uri = flyte_value.uri
         if not ctx.file_access.is_remote(uri):
             Path(uri).parent.mkdir(parents=True, exist_ok=True)

flytekit/types/structured/bigquery.py

@@ -1,12 +1,10 @@
 import re
 import typing
 
-import pandas as pd
-import pyarrow as pa
 from google.cloud import bigquery, bigquery_storage
 from google.cloud.bigquery_storage_v1 import types
 
-from flytekit import FlyteContext
+from flytekit import FlyteContext, lazy_module
 from flytekit.models import literals
 from flytekit.models.types import StructuredDatasetType
 from flytekit.types.structured.structured_dataset import (
@@ -16,6 +14,13 @@
     StructuredDatasetMetadata,
 )
 
+if typing.TYPE_CHECKING:
+    import pandas as pd
+    import pyarrow as pa
+else:
+    pd = lazy_module("pandas")
+    pa = lazy_module("pyarrow")
+
 BIGQUERY = "bq"
 
 

plugins/flytekit-duckdb/setup.py

@@ -4,7 +4,7 @@
 
 microlib_name = f"flytekitplugins-{PLUGIN_NAME}"
 
-plugin_requires = ["flytekit>=1.3.0b2,<2.0.0", "duckdb"]
+plugin_requires = ["flytekit>=1.3.0b2,<2.0.0", "duckdb", "pandas"]
 
 __version__ = "0.0.0+develop"
 

plugins/flytekit-mlflow/setup.py

@@ -5,7 +5,7 @@
 microlib_name = f"flytekitplugins-{PLUGIN_NAME}"
 
 # TODO: support mlflow 2.0+
-plugin_requires = ["flytekit>=1.1.0,<2.0.0", "plotly", "mlflow<2.0.0"]
+plugin_requires = ["flytekit>=1.1.0,<2.0.0", "plotly", "mlflow<2.0.0", "pandas"]
 
 __version__ = "0.0.0+develop"
 

plugins/flytekit-pandera/flytekitplugins/pandera/schema.py

@@ -8,8 +8,9 @@
 from flytekit.extend import TypeEngine, TypeTransformer
 from flytekit.models.literals import Literal, Scalar, Schema
 from flytekit.models.types import LiteralType, SchemaType
-from flytekit.types.schema import FlyteSchema, PandasSchemaWriter, SchemaFormat, SchemaOpenMode
+from flytekit.types.schema import FlyteSchema, SchemaFormat, SchemaOpenMode
 from flytekit.types.schema.types import FlyteSchemaTransformer
+from flytekit.types.schema.types_pandas import PandasSchemaWriter
 
 T = typing.TypeVar("T")
 

plugins/flytekit-pandera/setup.py

@@ -4,7 +4,7 @@
 
 microlib_name = f"flytekitplugins-{PLUGIN_NAME}"
 
-plugin_requires = ["flytekit>=1.3.0b2,<2.0.0", "pandera>=0.7.1"]
+plugin_requires = ["flytekit>=1.3.0b2,<2.0.0", "pandera>=0.7.1", "pandas"]
 
 __version__ = "0.0.0+develop"
 

plugins/flytekit-polars/setup.py

@@ -4,10 +4,7 @@
 
 microlib_name = f"flytekitplugins-{PLUGIN_NAME}"
 
-plugin_requires = [
-    "flytekit>=1.3.0b2,<2.0.0",
-    "polars>=0.8.27,<0.17.0",
-]
+plugin_requires = ["flytekit>=1.3.0b2,<2.0.0", "polars>=0.8.27,<0.17.0", "pandas"]
 
 __version__ = "0.0.0+develop"
 

plugins/flytekit-spark/setup.py

@@ -4,7 +4,7 @@
 
 microlib_name = f"flytekitplugins-{PLUGIN_NAME}"
 
-plugin_requires = ["flytekit>=1.3.0b2,<2.0.0", "pyspark>=3.0.0", "aiohttp", "flyteidl>=1.10.0"]
+plugin_requires = ["flytekit>=1.3.0b2,<2.0.0", "pyspark>=3.0.0", "aiohttp", "flyteidl>=1.10.0", "pandas"]
 
 __version__ = "0.0.0+develop"
 

plugins/flytekit-sqlalchemy/setup.py

@@ -4,7 +4,7 @@
 
 microlib_name = f"flytekitplugins-{PLUGIN_NAME}"
 
-plugin_requires = ["flytekit>=1.3.0b2,<2.0.0", "sqlalchemy>=1.4.7"]
+plugin_requires = ["flytekit>=1.3.0b2,<2.0.0", "sqlalchemy>=1.4.7", "pandas"]
 
 __version__ = "0.0.0+develop"
 

pyproject.toml

@@ -33,14 +33,11 @@ dependencies = [
     "keyring>=18.0.1",
     "kubernetes>=12.0.1",
     "marshmallow-enum",
-    # TODO: remove upper-bound after fixing change in contract
     "marshmallow-jsonschema>=0.12.0",
     "mashumaro>=3.9.1",
-    "numpy",
-    "pandas>=1.0.0,<2.0.0",
     # TODO: Remove upper-bound after protobuf community fixes it. https://github.com/flyteorg/flyte/issues/4359
     "protobuf<4.25.0",
-    "pyarrow>=4.0.0",
+    "pyarrow",
     "python-json-logger>=2.0.0",
     "pytimeparse>=1.1.8,<2.0.0",
     "pyyaml!=6.0.0,!=5.4.0,!=5.4.1", # pyyaml is broken with cython 3: https://github.com/yaml/pyyaml/issues/601

tests/flytekit/unit/cli/pyflyte/test_run.py

@@ -16,6 +16,8 @@
 from flytekit.interaction.click_types import DirParamType, FileParamType
 from flytekit.remote import FlyteRemote
 
+pytest.importorskip("pandas")
+
 WORKFLOW_FILE = os.path.join(os.path.dirname(os.path.realpath(__file__)), "workflow.py")
 REMOTE_WORKFLOW_FILE = "https://raw.githubusercontent.com/flyteorg/flytesnacks/8337b64b33df046b2f6e4cba03c74b7bdc0c4fb1/cookbook/core/flyte_basics/basic_workflow.py"
 IMPERATIVE_WORKFLOW_FILE = os.path.join(os.path.dirname(os.path.realpath(__file__)), "imperative_wf.py")

tests/flytekit/unit/core/test_data_persistence.py

@@ -3,10 +3,11 @@
 import pathlib
 import random
 import string
+import sys
 import tempfile
 
 import mock
-import pandas as pd
+import pytest
 from azure.identity import ClientSecretCredential, DefaultAzureCredential
 
 from flytekit.core.data_persistence import FileAccessProvider
@@ -27,8 +28,11 @@ def test_is_remote():
     assert fp.is_remote("s3://my-bucket/foo/bar") is True
 
 
+@pytest.mark.skipif("pandas" not in sys.modules, reason="Pandas is not installed.")
 @mock.patch("flytekit.core.data_persistence.UUID")
 def test_write_folder_put_raw(mock_uuid_class):
+    import pandas as pd
+
     """
     A test that writes this structure
     raw/

tests/flytekit/unit/core/test_dataclass.py

@@ -1,12 +1,15 @@
+import sys
 from dataclasses import dataclass
 from typing import List
 
+import pytest
 from dataclasses_json import DataClassJsonMixin
 
 from flytekit.core.task import task
 from flytekit.core.workflow import workflow
 
 
+@pytest.mark.skipif("pandas" not in sys.modules, reason="Pandas is not installed.")
 def test_dataclass():
     @dataclass
     class AppParams(DataClassJsonMixin):