Backport changes for 14.1

.github/workflows/pythonbuild.yml

@@ -299,6 +299,9 @@ jobs:
           FLYTEKIT_IMAGE: localhost:30000/flytekit:dev
           FLYTEKIT_CI: 1
           PYTEST_OPTS: -n2
+          AWS_ENDPOINT_URL: 'http://localhost:30002'
+          AWS_ACCESS_KEY_ID: minio
+          AWS_SECRET_ACCESS_KEY: miniostorage
         run: |
           make ${{ matrix.makefile-cmd }}
       - name: Codecov

flytekit/core/data_persistence.py

@@ -423,47 +423,34 @@
                 r = await self._put(from_path, to_path, **kwargs)
             return r or to_path
 
+        # See https://github.com/fsspec/s3fs/issues/871 for more background and pending work on the fsspec side to
+        # support effectively async open(). For now these use-cases below will revert to sync calls.
         # raw bytes
         if isinstance(lpath, bytes):
-            fs = await self.get_async_filesystem_for_path(to_path)
-            if isinstance(fs, AsyncFileSystem):
-                async with fs.open_async(to_path, "wb", **kwargs) as s:
-                    s.write(lpath)
-            else:
-                with fs.open(to_path, "wb", **kwargs) as s:
-                    s.write(lpath)
-
+            fs = self.get_filesystem_for_path(to_path)
+            with fs.open(to_path, "wb", **kwargs) as s:
+                s.write(lpath)
             return to_path
 
         # If lpath is a buffered reader of some kind
         if isinstance(lpath, io.BufferedReader) or isinstance(lpath, io.BytesIO):
             if not lpath.readable():
                 raise FlyteAssertion("Buffered reader must be readable")
-            fs = await self.get_async_filesystem_for_path(to_path)
+            fs = self.get_filesystem_for_path(to_path)
             lpath.seek(0)
-            if isinstance(fs, AsyncFileSystem):
-                async with fs.open_async(to_path, "wb", **kwargs) as s:
-                    while data := lpath.read(read_chunk_size_bytes):
-                        s.write(data)
-            else:
-                with fs.open(to_path, "wb", **kwargs) as s:
-                    while data := lpath.read(read_chunk_size_bytes):
-                        s.write(data)
+            with fs.open(to_path, "wb", **kwargs) as s:
+                while data := lpath.read(read_chunk_size_bytes):
+                    s.write(data)
             return to_path
 
         if isinstance(lpath, io.StringIO):
             if not lpath.readable():
                 raise FlyteAssertion("Buffered reader must be readable")
-            fs = await self.get_async_filesystem_for_path(to_path)
+            fs = self.get_filesystem_for_path(to_path)
             lpath.seek(0)
-            if isinstance(fs, AsyncFileSystem):
-                async with fs.open_async(to_path, "wb", **kwargs) as s:
-                    while data_str := lpath.read(read_chunk_size_bytes):
-                        s.write(data_str.encode(encoding))
-            else:
-                with fs.open(to_path, "wb", **kwargs) as s:
-                    while data_str := lpath.read(read_chunk_size_bytes):
-                        s.write(data_str.encode(encoding))
+            with fs.open(to_path, "wb", **kwargs) as s:
+                while data_str := lpath.read(read_chunk_size_bytes):
+                    s.write(data_str.encode(encoding))
             return to_path
 
         raise FlyteAssertion(f"Unsupported lpath type {type(lpath)}")

flytekit/remote/remote.py

@@ -524,7 +524,9 @@ def get_launch_plan_from_then_node(
 
                 if node.branch_node:
                     get_launch_plan_from_branch(node.branch_node, node_launch_plans)
-        return FlyteWorkflow.promote_from_closure(compiled_wf, node_launch_plans)
+        flyte_workflow = FlyteWorkflow.promote_from_closure(compiled_wf, node_launch_plans)
+        flyte_workflow.template._id = workflow_id
+        return flyte_workflow
 
     def _upgrade_launchplan(self, lp: launch_plan_models.LaunchPlan) -> FlyteLaunchPlan:
         """
@@ -863,13 +865,17 @@ async def _serialize_and_register(
         cp_task_entity_map = OrderedDict(filter(lambda x: isinstance(x[1], task_models.TaskSpec), m.items()))
         tasks = []
         loop = asyncio.get_running_loop()
-        for entity, cp_entity in cp_task_entity_map.items():
+        for task_entity, cp_entity in cp_task_entity_map.items():
             tasks.append(
                 loop.run_in_executor(
                     None,
-                    functools.partial(self.raw_register, cp_entity, serialization_settings, version, og_entity=entity),
+                    functools.partial(
+                        self.raw_register, cp_entity, serialization_settings, version, og_entity=task_entity
+                    ),
                 )
             )
+            if task_entity == entity:
+                registered_entity = await tasks[-1]
 
         identifiers_or_exceptions = []
         identifiers_or_exceptions.extend(await asyncio.gather(*tasks, return_exceptions=True))
@@ -882,15 +888,17 @@ async def _serialize_and_register(
                 raise ie
         # serial register
         cp_other_entities = OrderedDict(filter(lambda x: not isinstance(x[1], task_models.TaskSpec), m.items()))
-        for entity, cp_entity in cp_other_entities.items():
+        for non_task_entity, cp_entity in cp_other_entities.items():
             try:
                 identifiers_or_exceptions.append(
-                    self.raw_register(cp_entity, serialization_settings, version, og_entity=entity)
+                    self.raw_register(cp_entity, serialization_settings, version, og_entity=non_task_entity)
                 )
             except RegistrationSkipped as e:
                 logger.info(f"Skipping registration... {e}")
                 continue
-        return identifiers_or_exceptions[-1]
+            if non_task_entity == entity:
+                registered_entity = identifiers_or_exceptions[-1]
+        return registered_entity
 
     def register_task(
         self,

plugins/flytekit-dbt/setup.py

@@ -4,10 +4,7 @@
 
 microlib_name = f"flytekitplugins-{PLUGIN_NAME}"
 
-plugin_requires = [
-    "flytekit>=1.3.0b2",
-    "dbt-core<1.8.0",
-]
+plugin_requires = ["flytekit>=1.3.0b2", "dbt-core>=1.6.0,<1.8.0", "networkx>=2.5"]
 
 __version__ = "0.0.0+develop"
 

plugins/flytekit-inference/flytekitplugins/inference/ollama/serve.py

@@ -164,7 +164,7 @@ def __init__(self, *args, **kwargs):
                 name=container_name,
                 image="python:3.11-slim",
                 command=["/bin/sh", "-c"],
-                args=[f"pip install requests && pip install ollama && {command}"],
+                args=[f"pip install requests && pip install ollama==0.3.3 && {command}"],
                 resources=V1ResourceRequirements(
                     requests={
                         "cpu": self._model_cpu,

plugins/flytekit-polars/flytekitplugins/polars/sd_transformers.py

@@ -69,9 +69,10 @@ def encode(
             df.to_parquet(output_bytes)
 
         if structured_dataset.uri is not None:
+            output_bytes.seek(0)
             fs = ctx.file_access.get_filesystem_for_path(path=structured_dataset.uri)
             with fs.open(structured_dataset.uri, "wb") as s:
-                s.write(output_bytes)
+                s.write(output_bytes.read())
             output_uri = structured_dataset.uri
         else:
             remote_fn = "00000"  # 00000 is our default unnamed parquet filename

plugins/flytekit-polars/tests/test_polars_plugin_sd.py

@@ -5,7 +5,7 @@
 import pytest
 from flytekitplugins.polars.sd_transformers import PolarsDataFrameRenderer
 from typing_extensions import Annotated
-from packaging import version
+import numpy as np
 from polars.testing import assert_frame_equal
 
 from flytekit import kwtypes, task, workflow
@@ -134,3 +134,28 @@ def consume_sd_return_sd(sd: StructuredDataset) -> StructuredDataset:
         opened_sd = opened_sd.collect()
 
     assert_frame_equal(opened_sd, polars_df)
+
+
+def test_with_uri():
+    temp_file = tempfile.mktemp()
+
+    @task
+    def random_dataframe(num_rows: int) -> StructuredDataset:
+        feature_1_list = np.random.randint(low=100, high=999, size=(num_rows,))
+        feature_2_list = np.random.normal(loc=0, scale=1, size=(num_rows, ))
+        pl_df = pl.DataFrame({'protein_length': feature_1_list,
+                              'protein_feature': feature_2_list})
+        sd = StructuredDataset(dataframe=pl_df, uri=temp_file)
+        return sd
+
+    @task
+    def consume(df: pd.DataFrame):
+        print(df.head(5))
+        print(df.describe())
+
+    @workflow
+    def my_wf(num_rows: int):
+        pl = random_dataframe(num_rows=num_rows)
+        consume(pl)
+
+    my_wf(num_rows=100)

tests/flytekit/unit/core/test_data_persistence.py

@@ -1,16 +1,17 @@
 import io
 import os
-import fsspec
 import pathlib
 import random
 import string
 import sys
 import tempfile
 
+import fsspec
 import mock
 import pytest
 from azure.identity import ClientSecretCredential, DefaultAzureCredential
 
+from flytekit.configuration import Config
 from flytekit.core.data_persistence import FileAccessProvider
 from flytekit.core.local_fsspec import FlyteLocalFileSystem
 
@@ -207,3 +208,18 @@ def __init__(self, *args, **kwargs):
 
     fp = FileAccessProvider("/tmp", "s3://my-bucket")
     fp.get_filesystem("testgetfs", test_arg="test_arg")
+
+
+@pytest.mark.sandbox_test
+def test_put_raw_data_bytes():
+    dc = Config.for_sandbox().data_config
+    raw_output = f"s3://my-s3-bucket/"
+    provider = FileAccessProvider(local_sandbox_dir="/tmp/unittest", raw_output_prefix=raw_output, data_config=dc)
+    prefix = provider.get_random_string()
+    provider.put_raw_data(lpath=b"hello", upload_prefix=prefix, file_name="hello_bytes")
+    provider.put_raw_data(lpath=io.BytesIO(b"hello"), upload_prefix=prefix, file_name="hello_bytes_io")
+    provider.put_raw_data(lpath=io.StringIO("hello"), upload_prefix=prefix, file_name="hello_string_io")
+
+    fs = provider.get_filesystem("s3")
+    listing = fs.ls(f"{raw_output}{prefix}/")
+    assert len(listing) == 3

tests/flytekit/unit/remote/test_remote.py

@@ -35,7 +35,7 @@
 from flytekit.models.core.identifier import Identifier, ResourceType, WorkflowExecutionIdentifier
 from flytekit.models.execution import Execution
 from flytekit.models.task import Task
-from flytekit.remote import FlyteTask
+from flytekit.remote import FlyteTask, FlyteWorkflow
 from flytekit.remote.lazy_entity import LazyEntity
 from flytekit.remote.remote import FlyteRemote, _get_git_repo_url, _get_pickled_target_dict
 from flytekit.tools.translator import Options, get_serializable, get_serializable_launch_plan
@@ -811,3 +811,46 @@ def wf() -> int:
     # the second one should
     rr.register_launch_plan(lp2, version="1", serialization_settings=ss)
     mock_client.update_launch_plan.assert_called()
+
+
+@mock.patch("flytekit.remote.remote.FlyteRemote.client")
+def test_register_task_with_node_dependency_hints(mock_client):
+    @task
+    def task0():
+        return None
+
+    @workflow
+    def workflow0():
+        return task0()
+
+    @dynamic(node_dependency_hints=[workflow0])
+    def dynamic0():
+        return workflow0()
+
+    @workflow
+    def workflow1():
+        return dynamic0()
+
+    rr = FlyteRemote(
+        Config.for_sandbox(),
+        default_project="flytesnacks",
+        default_domain="development",
+    )
+
+    ss = SerializationSettings(
+        image_config=ImageConfig.from_images("docker.io/abc:latest"),
+        version="dummy_version",
+    )
+
+    registered_task = rr.register_task(dynamic0, ss)
+    assert isinstance(registered_task, FlyteTask)
+    assert registered_task.id.resource_type == ResourceType.TASK
+    assert registered_task.id.project == "flytesnacks"
+    assert registered_task.id.domain == "development"
+    # When running via `make unit_test` there is a `__-channelexec__` prefix added to the name.
+    assert registered_task.id.name.endswith("tests.flytekit.unit.remote.test_remote.dynamic0")
+    assert registered_task.id.version == "dummy_version"
+
+    registered_workflow = rr.register_workflow(workflow1, ss)
+    assert isinstance(registered_workflow, FlyteWorkflow)
+    assert registered_workflow.id == Identifier(ResourceType.WORKFLOW, "flytesnacks", "development", "tests.flytekit.unit.remote.test_remote.workflow1", "dummy_version")