Remove open_async usage in put raw data

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)}")

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