I would like to use Redis in the Pre/Post processing hooks of the serving container. More in detail, something similar to the following implementation:
import json
import redis
r = redis.StrictRedis(host=redis_host, port=6379, db=0)
def input_handler(data, context):
if context.request_content_type == 'application/json':
# pass through json (assumes it's correctly formed)
d = data.read().decode('utf-8')
obj = r.get(f"features-id-{d['id']}")
return obj
raise ValueError('{{"error": "unsupported content type {}"}}'.format(
context.request_content_type or "unknown"))
The approach above would avoid passing the full set of features (3Mb of size) as part of the REST request. Therefore, I need a way to include Redis as a dependency of the pre/post-processing code. I saw that it is possible to do that by overriding the Dockerfile definition.
I was wondering if it exists/is in roadmap any other way to include pip packages without overriding the Dockerfile definition.
Hi,
I would like to use Redis in the Pre/Post processing hooks of the serving container. More in detail, something similar to the following implementation:
The approach above would avoid passing the full set of features (3Mb of size) as part of the REST request. Therefore, I need a way to include Redis as a dependency of the pre/post-processing code. I saw that it is possible to do that by overriding the Dockerfile definition.
I was wondering if it exists/is in roadmap any other way to include pip packages without overriding the
Dockerfile
definition.