typing: type hint with standard collections

Signed-off-by: ZhengYu, Xu <[email protected]>

connectorx-python/connectorx/__init__.py

@@ -1,4 +1,6 @@
-from typing import Optional, Tuple, Union, List, Dict, Any
+from __future__ import annotations
+
+from typing import Any
 
 from .connectorx import (
     read_sql as _read_sql,
@@ -35,7 +37,7 @@
     )
 
 
-def rewrite_conn(conn: str, protocol: Optional[str] = None):
+def rewrite_conn(conn: str, protocol: str | None = None):
     if not protocol:
         # note: redshift/clickhouse are not compatible with the 'binary' protocol, and use other database
         # drivers to connect. set a compatible protocol and masquerade as the appropriate backend.
@@ -54,7 +56,7 @@ def rewrite_conn(conn: str, protocol: Optional[str] = None):
 def get_meta(
     conn: str,
     query: str,
-    protocol: Optional[str] = None,
+    protocol: str | None = None,
 ):
     """
     Get metadata (header) of the given query (only for pandas)
@@ -81,7 +83,7 @@ def partition_sql(
     query: str,
     partition_on: str,
     partition_num: int,
-    partition_range: Optional[Tuple[int, int]] = None,
+    partition_range: tuple[int, int] | None = None,
 ):
     """
     Partition the sql query
@@ -110,13 +112,13 @@ def partition_sql(
 
 
 def read_sql_pandas(
-    sql: Union[List[str], str],
-    con: Union[str, Dict[str, str]],
-    index_col: Optional[str] = None,
-    protocol: Optional[str] = None,
-    partition_on: Optional[str] = None,
-    partition_range: Optional[Tuple[int, int]] = None,
-    partition_num: Optional[int] = None,
+    sql: list[str] | str,
+    con: str | dict[str, str],
+    index_col: str | None = None,
+    protocol: str | None = None,
+    partition_on: str | None = None,
+    partition_range: tuple[int, int] | None = None,
+    partition_num: int | None = None,
 ):
     """
     Run the SQL query, download the data from database into a dataframe.
@@ -150,15 +152,15 @@ def read_sql_pandas(
 
 
 def read_sql(
-    conn: Union[str, Dict[str, str]],
-    query: Union[List[str], str],
+    conn: str | dict[str, str],
+    query: list[str] | str,
     *,
     return_type: str = "pandas",
-    protocol: Optional[str] = None,
-    partition_on: Optional[str] = None,
-    partition_range: Optional[Tuple[int, int]] = None,
-    partition_num: Optional[int] = None,
-    index_col: Optional[str] = None,
+    protocol: str | None = None,
+    partition_on: str | None = None,
+    partition_range: tuple[int, int] | None = None,
+    partition_num: int | None = None,
+    index_col: str | None = None,
 ):
     """
     Run the SQL query, download the data from database into a dataframe.
@@ -327,7 +329,7 @@ def read_sql(
     return df
 
 
-def reconstruct_arrow(result: Tuple[List[str], List[List[Tuple[int, int]]]]):
+def reconstruct_arrow(result: tuple[list[str], list[list[tuple[int, int]]]]):
     import pyarrow as pa
 
     names, ptrs = result
@@ -343,7 +345,7 @@ def reconstruct_arrow(result: Tuple[List[str], List[List[Tuple[int, int]]]]):
     return pa.Table.from_batches(rbs)
 
 
-def reconstruct_pandas(df_infos: Dict[str, Any]):
+def reconstruct_pandas(df_infos: dict[str, Any]):
     import pandas as pd
 
     data = df_infos["data"]