Replace session scope fixtures with pytest_sessionstart and pytest_se…

…ssionfinish methods

tests/__init__.py

@@ -21,6 +21,9 @@ def __init__(self):
         self.schema = "pyathena_test_" + "".join(
             [random.choice(string.ascii_lowercase + string.digits) for _ in range(10)]
         )
+        self.s3_filesystem_test_file_key = (
+            f"{self.s3_staging_key}{self.schema}/S3FileSystem__test_read.dat"
+        )
 
 
 ENV = Env()

tests/conftest.py

@@ -1,5 +1,6 @@
 # -*- coding: utf-8 -*-
 import contextlib
+from io import BytesIO
 from pathlib import Path
 from urllib.parse import quote_plus
 
@@ -11,6 +12,21 @@
 from tests.util import read_query
 
 
+def pytest_sessionstart(session):
+    _upload_rows()
+    with contextlib.closing(connect()) as conn:
+        with conn.cursor() as cursor:
+            _create_database(cursor)
+            _create_table(cursor)
+
+
+def pytest_sessionfinish(session):
+    with contextlib.closing(connect()) as conn:
+        with conn.cursor() as cursor:
+            _drop_database(cursor)
+    _delete_rows()
+
+
 def connect(schema_name="default", **kwargs):
     from pyathena import connect
 
@@ -51,29 +67,17 @@ def create_engine(**kwargs):
     )
 
 
-@pytest.fixture(scope="session", autouse=True)
-def _setup_session(request):
-    request.addfinalizer(_teardown_session)
-    _upload_rows()
-    with contextlib.closing(connect()) as conn:
-        with conn.cursor() as cursor:
-            _create_database(cursor)
-            _create_table(cursor)
-
-
-def _teardown_session():
-    with contextlib.closing(connect()) as conn:
-        with conn.cursor() as cursor:
-            _drop_database(cursor)
-    _delete_rows()
-
-
 def _upload_rows():
     client = boto3.client("s3")
     rows = Path(__file__).parent.resolve() / "resources" / "rows"
     for row in rows.iterdir():
         key = f"{ENV.s3_staging_key}{ENV.schema}/{row.stem}/{row.name}"
         client.upload_file(str(row), ENV.s3_staging_bucket, key)
+    client.upload_fileobj(
+        BytesIO(b"0123456789"),
+        ENV.s3_staging_bucket,
+        ENV.s3_filesystem_test_file_key,
+    )
 
 
 def _delete_rows():

tests/filesystem/test_s3.py

@@ -12,8 +12,6 @@
 
 
 class TestS3FileSystem:
-    s3_test_file_key = f"{ENV.s3_staging_key}{ENV.schema}/S3FileSystem__test_read.dat"
-
     def test_parse_path(self):
         actual = S3FileSystem.parse_path("s3://bucket")
         assert actual[0] == "bucket"
@@ -114,12 +112,6 @@ def test_parse_path_invalid(self):
 
     @pytest.fixture(scope="class")
     def fs(self) -> Dict[str, S3FileSystem]:
-        client = boto3.client("s3")
-        client.upload_fileobj(
-            BytesIO(b"0123456789"),
-            ENV.s3_staging_bucket,
-            self.s3_test_file_key,
-        )
         fs = {
             "default": S3FileSystem(connect()),
             "small_batches": S3FileSystem(connect(), default_block_size=3),
@@ -144,11 +136,11 @@ def fs(self) -> Dict[str, S3FileSystem]:
     def test_read(self, fs, start, end, batch_mode, target_data):
         # lowest level access: use _get_object
         data = fs[batch_mode]._get_object(
-            ENV.s3_staging_bucket, self.s3_test_file_key, ranges=(start, end)
+            ENV.s3_staging_bucket, ENV.s3_filesystem_test_file_key, ranges=(start, end)
         )
         assert data == (start, target_data), data
         with fs[batch_mode].open(
-            f"s3://{ENV.s3_staging_bucket}/{self.s3_test_file_key}", "rb"
+            f"s3://{ENV.s3_staging_bucket}/{ENV.s3_filesystem_test_file_key}", "rb"
         ) as file:
             # mid-level access: use _fetch_range
             data = file._fetch_range(start, end)
@@ -162,7 +154,9 @@ def test_compatibility_with_s3fs(self):
         import pandas
 
         df = pandas.read_csv(
-            f"s3://{ENV.s3_staging_bucket}/{self.s3_test_file_key}", header=None, names=["col"]
+            f"s3://{ENV.s3_staging_bucket}/{ENV.s3_filesystem_test_file_key}",
+            header=None,
+            names=["col"],
         )
         assert [(row["col"],) for _, row in df.iterrows()] == [(123456789,)]