Use the default logging handler on warnings.warnings calls (#22267)

Summary:
This ensures that warnings.warnings calls get basic logging information
like timestamps and don't look totally different from other warnings

Test Plan:
Load the following code:
```
from dagster import AutoMaterializePolicy, asset

@asset(auto_materialize_policy=AutoMaterializePolicy.lazy())
def my_asset():
    print("HELLO")
```

Before, it looked like:

```
2024-06-03 17:16:59 -0500 - dagster - INFO - Launching Dagster services...
/Users/dgibson/dagster/python_modules/dagster/dagster/_core/definitions/auto_materialize_policy.py:243: ExperimentalWarning: Class `AutoMaterializePolicy` is experimental. It may break in future versions, even between dot releases. To mute warnings for experimental functionality, invoke warnings.filterwarnings("ignore", category=dagster.ExperimentalWarning) or use one of the other methods described at https://docs.python.org/3/library/warnings.html#describing-warning-filters.
  return AutoMaterializePolicy(
/Users/dgibson/dagster/python_modules/dagster/dagster/_core/decorator_utils.py:203: ExperimentalWarning: Parameter `auto_materialize_policy` of function `asset` is experimental. It may break in future versions, even between dot releases. To mute warnings for experimental functionality, invoke warnings.filterwarnings("ignore", category=dagster.ExperimentalWarning) or use one of the other methods described at https://docs.python.org/3/library/warnings.html#describing-warning-filters.
  return fn(*args, **kwargs)
```

Now it looks like:
```
2024-06-04 09:43:13 -0500 - dagster - INFO - Launching Dagster services...
2024-06-04 09:43:14 -0500 - dagster - WARNING - /Users/dgibson/dagster/python_modules/dagster/dagster/_core/definitions/auto_materialize_policy.py:247: ExperimentalWarning: Class `AutoMaterializePolicy` is experimental. It may break in future versions, even between dot releases. To mute warnings for experimental functionality, invoke warnings.filterwarnings("ignore", category=dagster.ExperimentalWarning) or use one of the other methods described at https://docs.python.org/3/library/warnings.html#describing-warning-filters.
  return AutoMaterializePolicy(

2024-06-04 09:43:14 -0500 - dagster - WARNING - /Users/dgibson/dagster/python_modules/dagster/dagster/_core/decorator_utils.py:203: ExperimentalWarning: Parameter `auto_materialize_policy` of function `asset` is experimental. It may break in future versions, even between dot releases. To mute warnings for experimental functionality, invoke warnings.filterwarnings("ignore", category=dagster.ExperimentalWarning) or use one of the other methods described at https://docs.python.org/3/library/warnings.html#describing-warning-filters.
  return fn(*args, **kwargs)

```

## Summary & Motivation

## How I Tested These Changes

python_modules/dagster/dagster/_utils/log.py

@@ -3,6 +3,7 @@
 import logging.config
 import sys
 import traceback
+import warnings
 from typing import (
     TYPE_CHECKING,
     Any,
@@ -320,6 +321,14 @@ def configure_loggers(
 
     logging.config.dictConfig(LOGGING_CONFIG)
 
+    # override the default warnings handler as per https://docs.python.org/3/library/warnings.html#warnings.showwarning
+    # to use the same formatting
+    def custom_warning_handler(message, category, filename, lineno, file=None, line=None):
+        log_message = warnings.formatwarning(message, category, filename, lineno, line)
+        logging.getLogger("dagster").warning(log_message)
+
+    warnings.showwarning = custom_warning_handler
+
 
 def create_console_logger(name: str, level: Union[str, int]) -> logging.Logger:
     klass = logging.getLoggerClass()