## Problem
Currently, even if `LAMBDA_REMOTE_DOCKER=1`, we unzip the zip files in the directory they are in, which is usually /var/lib/localstack, which usually has a bind mount to the host.
On docker desktop, due to the use of grpc-FUSE (on macos), this can be very slow, about 200 times slower than on volumes / directly on the host. With experimental virtio filesystem enabled (also on macos), this can be reduced to about 30 times as slow, but still problematic.
This means a lambda may take a lot of time processing, for each additional layer some more. This especially affects nodejs lambdas with huge node_modules folders.

## Probable solution
At least if `LAMBDA_REMOTE_DOCKER=1`, we should leave the initial zip files on the bind mount (for persistence etc), but the working directories after unzipping should be located on non-bind mounts, to speed up the IO for unzipping.
"""Convert message attribute details (first characters) to lower case (e.g., stringValue, dataType)."""
    message_attrs = message_attrs or {}
    for _, attr in message_attrs.items():
        if not isinstance(attr, dict):
            continue
        for key, value in dict(attr).items():
            attr[first_char_to_lower(key)] = attr.pop(key)
    return message_attrs
def process_apigateway_invocation(
    func_arn,
    path,
    payload,
    stage,
    api_id,
    headers=None,
    is_base64_encoded=False,
    resource_path=None,
    method=None,
    path_params=None,
    query_string_params=None,
    stage_variables=None,
    request_context=None,
):
    if path_params is None:
        path_params = {}
    if request_context is None:
        request_context = {}