We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
Doc: Cross link to API reference page from Operators page
Currently there is no way to jump to Func/Operator definition from https://astro-sdk-python.readthedocs.io/en/stable/astro/sql/operators/get_value_list.html (and other operators listed on https://astro-sdk-python.readthedocs.io/en/stable/guides/operators.html) to their definition https://astro-sdk-python.readthedocs.io/en/stable/autoapi/index.html

We should cross-link them using https://www.sphinx-doc.org/en/master/usage/restructuredtext/domains.html#cross-referencing-syntax

--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `python-sdk/src/astro/sql/__init__.py`
Content:
```
1 from airflow.configuration import conf
2 from airflow.decorators.base import get_unique_task_id
3 from airflow.models.xcom_arg import XComArg
4 
5 from astro.sql.operators.append import AppendOperator, append
6 from astro.sql.operators.cleanup import CleanupOperator, cleanup
7 from astro.sql.operators.dataframe import DataframeOperator, dataframe
8 from astro.sql.operators.drop import DropTableOperator, drop_table
9 from astro.sql.operators.export_file import ExportFileOperator, export_file
10 from astro.sql.operators.load_file import LoadFileOperator, load_file
11 from astro.sql.operators.merge import MergeOperator, merge
12 from astro.sql.operators.raw_sql import RawSQLOperator, run_raw_sql
13 from astro.sql.operators.transform import TransformOperator, transform, transform_file
14 from astro.table import Metadata, Table
15 
16 __all__ = [
17     "AppendOperator",
18     "append",
19     "CleanupOperator",
20     "cleanup",
21     "DataframeOperator",
22     "dataframe",
23     "DropTableOperator",
24     "drop_table",
25     "ExportFileOperator",
26     "export_file",
27     "LoadFileOperator",
28     "load_file",
29     "MergeOperator",
30     "merge",
31     "Metadata",
32     "run_raw_sql",
33     "Table",
34     "TransformOperator",
35     "transform_file",
36     "transform",
37 ]
38 
39 
40 def get_value_list(sql: str, conn_id: str, **kwargs) -> XComArg:
41     """
42     Execute a sql statement and return the result.
43     By default, the response size is less than equal to value of ``max_map_length`` conf.
44     You can call a callable handler to alter the response by default it call ``fetchall`` on database result set.
45 
46 
47     :param sql: sql query to execute.
48         If the sql query will return huge number of row then it can overload the XCOM.
49         also, If you are using output of this method to expand a task using dynamic task map then
50         it can create lots of parallel task. So it is advisable to limit your sql query statement.
51     :param conn_id: Airflow connection id. This connection id will be used to identify the database client
52         and connect with it at runtime
53     """
54     handler = kwargs.get("handler") or (lambda result_set: result_set.fetchall())
55     max_map_length = int(conf.get(section="core", key="max_map_length"))
56     op_kwargs = {
57         "handler": handler,
58         "response_limit": max_map_length,
59     }
60     task_id = kwargs.get("task_id") or get_unique_task_id(
61         "get_value_list", dag=kwargs.get("dag"), task_group=kwargs.get("task_group")
62     )
63     kwargs.update({"task_id": task_id})
64     return RawSQLOperator(
65         sql=sql, conn_id=conn_id, op_kwargs=op_kwargs, python_callable=(lambda *args: None), **kwargs
66     ).output
67
```
--- END FILES ---

Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.

Here is an example:

```diff
diff --git a/examples/server_async.py b/examples/server_async.py
--- a/examples/server_async.py
+++ b/examples/server_async.py
@@ -313,4 +313,4 @@
 
 
 if __name__ == "__main__":
-    asyncio.run(run_async_server("."), debug=True)
+    asyncio.run(run_async_server(), debug=True)
diff --git a/examples/server_sync.py b/examples/server_sync.py
--- a/examples/server_sync.py
+++ b/examples/server_sync.py
@@ -313,5 +313,5 @@
 
 
 if __name__ == "__main__":
-    server = run_sync_server(".")
+    server = run_sync_server()
     server.shutdown()

```

diff --git a/python-sdk/src/astro/sql/__init__.py b/python-sdk/src/astro/sql/__init__.py
--- a/python-sdk/src/astro/sql/__init__.py
+++ b/python-sdk/src/astro/sql/__init__.py
@@ -24,6 +24,7 @@
     "drop_table",
     "ExportFileOperator",
     "export_file",
+    "get_value_list",
     "LoadFileOperator",
     "load_file",
     "MergeOperator",

{"golden_diff": "diff --git a/python-sdk/src/astro/sql/__init__.py b/python-sdk/src/astro/sql/__init__.py\n--- a/python-sdk/src/astro/sql/__init__.py\n+++ b/python-sdk/src/astro/sql/__init__.py\n@@ -24,6 +24,7 @@\n     \"drop_table\",\n     \"ExportFileOperator\",\n     \"export_file\",\n+    \"get_value_list\",\n     \"LoadFileOperator\",\n     \"load_file\",\n     \"MergeOperator\",\n", "issue": "Doc: Cross link to API reference page from Operators page\nCurrently there is no way to jump to Func/Operator definition from https://astro-sdk-python.readthedocs.io/en/stable/astro/sql/operators/get_value_list.html (and other operators listed on https://astro-sdk-python.readthedocs.io/en/stable/guides/operators.html) to their definition https://astro-sdk-python.readthedocs.io/en/stable/autoapi/index.html\r\n\r\nWe should cross-link them using https://www.sphinx-doc.org/en/master/usage/restructuredtext/domains.html#cross-referencing-syntax\n", "before_files": [{"content": "from airflow.configuration import conf\nfrom airflow.decorators.base import get_unique_task_id\nfrom airflow.models.xcom_arg import XComArg\n\nfrom astro.sql.operators.append import AppendOperator, append\nfrom astro.sql.operators.cleanup import CleanupOperator, cleanup\nfrom astro.sql.operators.dataframe import DataframeOperator, dataframe\nfrom astro.sql.operators.drop import DropTableOperator, drop_table\nfrom astro.sql.operators.export_file import ExportFileOperator, export_file\nfrom astro.sql.operators.load_file import LoadFileOperator, load_file\nfrom astro.sql.operators.merge import MergeOperator, merge\nfrom astro.sql.operators.raw_sql import RawSQLOperator, run_raw_sql\nfrom astro.sql.operators.transform import TransformOperator, transform, transform_file\nfrom astro.table import Metadata, Table\n\n__all__ = [\n    \"AppendOperator\",\n    \"append\",\n    \"CleanupOperator\",\n    \"cleanup\",\n    \"DataframeOperator\",\n    \"dataframe\",\n    \"DropTableOperator\",\n    \"drop_table\",\n    \"ExportFileOperator\",\n    \"export_file\",\n    \"LoadFileOperator\",\n    \"load_file\",\n    \"MergeOperator\",\n    \"merge\",\n    \"Metadata\",\n    \"run_raw_sql\",\n    \"Table\",\n    \"TransformOperator\",\n    \"transform_file\",\n    \"transform\",\n]\n\n\ndef get_value_list(sql: str, conn_id: str, **kwargs) -> XComArg:\n    \"\"\"\n    Execute a sql statement and return the result.\n    By default, the response size is less than equal to value of ``max_map_length`` conf.\n    You can call a callable handler to alter the response by default it call ``fetchall`` on database result set.\n\n\n    :param sql: sql query to execute.\n        If the sql query will return huge number of row then it can overload the XCOM.\n        also, If you are using output of this method to expand a task using dynamic task map then\n        it can create lots of parallel task. So it is advisable to limit your sql query statement.\n    :param conn_id: Airflow connection id. This connection id will be used to identify the database client\n        and connect with it at runtime\n    \"\"\"\n    handler = kwargs.get(\"handler\") or (lambda result_set: result_set.fetchall())\n    max_map_length = int(conf.get(section=\"core\", key=\"max_map_length\"))\n    op_kwargs = {\n        \"handler\": handler,\n        \"response_limit\": max_map_length,\n    }\n    task_id = kwargs.get(\"task_id\") or get_unique_task_id(\n        \"get_value_list\", dag=kwargs.get(\"dag\"), task_group=kwargs.get(\"task_group\")\n    )\n    kwargs.update({\"task_id\": task_id})\n    return RawSQLOperator(\n        sql=sql, conn_id=conn_id, op_kwargs=op_kwargs, python_callable=(lambda *args: None), **kwargs\n    ).output\n", "path": "python-sdk/src/astro/sql/__init__.py"}], "after_files": [{"content": "from airflow.configuration import conf\nfrom airflow.decorators.base import get_unique_task_id\nfrom airflow.models.xcom_arg import XComArg\n\nfrom astro.sql.operators.append import AppendOperator, append\nfrom astro.sql.operators.cleanup import CleanupOperator, cleanup\nfrom astro.sql.operators.dataframe import DataframeOperator, dataframe\nfrom astro.sql.operators.drop import DropTableOperator, drop_table\nfrom astro.sql.operators.export_file import ExportFileOperator, export_file\nfrom astro.sql.operators.load_file import LoadFileOperator, load_file\nfrom astro.sql.operators.merge import MergeOperator, merge\nfrom astro.sql.operators.raw_sql import RawSQLOperator, run_raw_sql\nfrom astro.sql.operators.transform import TransformOperator, transform, transform_file\nfrom astro.table import Metadata, Table\n\n__all__ = [\n    \"AppendOperator\",\n    \"append\",\n    \"CleanupOperator\",\n    \"cleanup\",\n    \"DataframeOperator\",\n    \"dataframe\",\n    \"DropTableOperator\",\n    \"drop_table\",\n    \"ExportFileOperator\",\n    \"export_file\",\n    \"get_value_list\",\n    \"LoadFileOperator\",\n    \"load_file\",\n    \"MergeOperator\",\n    \"merge\",\n    \"Metadata\",\n    \"run_raw_sql\",\n    \"Table\",\n    \"TransformOperator\",\n    \"transform_file\",\n    \"transform\",\n]\n\n\ndef get_value_list(sql: str, conn_id: str, **kwargs) -> XComArg:\n    \"\"\"\n    Execute a sql statement and return the result.\n    By default, the response size is less than equal to value of ``max_map_length`` conf.\n    You can call a callable handler to alter the response by default it call ``fetchall`` on database result set.\n\n\n    :param sql: sql query to execute.\n        If the sql query will return huge number of row then it can overload the XCOM.\n        also, If you are using output of this method to expand a task using dynamic task map then\n        it can create lots of parallel task. So it is advisable to limit your sql query statement.\n    :param conn_id: Airflow connection id. This connection id will be used to identify the database client\n        and connect with it at runtime\n    \"\"\"\n    handler = kwargs.get(\"handler\") or (lambda result_set: result_set.fetchall())\n    max_map_length = int(conf.get(section=\"core\", key=\"max_map_length\"))\n    op_kwargs = {\n        \"handler\": handler,\n        \"response_limit\": max_map_length,\n    }\n    task_id = kwargs.get(\"task_id\") or get_unique_task_id(\n        \"get_value_list\", dag=kwargs.get(\"dag\"), task_group=kwargs.get(\"task_group\")\n    )\n    kwargs.update({\"task_id\": task_id})\n    return RawSQLOperator(\n        sql=sql, conn_id=conn_id, op_kwargs=op_kwargs, python_callable=(lambda *args: None), **kwargs\n    ).output\n", "path": "python-sdk/src/astro/sql/__init__.py"}]}