Advanced Options

Advanced configurations

Configuring resource (CPU/Memory) requirements

You can customize resource (CPU/Memory) request and limit the requirements using the resources argument in FunctionService class constructor.

from servicefoundry.function_service import FunctionService
from servicefoundry import Resources

service = FunctionService(
    name="t5-small",
    resources=Resources(
        cpu_request=0.2,
        cpu_limit=0.5,
        memory_request=128,
        memory_limit=512,
    ),
)
...

Read more about resources here.

Locally running the defined service

You can run the defined service locally using the run method defined in FunctionService class.

Using the example here

import logging

from servicefoundry.function_service import FunctionService

from module import normal, uniform

logging.basicConfig(level=logging.INFO)

service = FunctionService(name="func-service")
service.register_function(normal)
service.register_function(uniform)

service.run().join()

Note that,

  • run() returns an instance of threading.Thread. We call the join() method so that we wait for the daemon thread's lifetime. To stop the webserver, press ctrl-c.

Environment Variables

You can inject environment variables using the env argument in FunctionService class constructor.

You can access the the value of the environmen variables using os.getenv in the deployed function or class.

from servicefoundry.function_service import FunctionService
from servicefoundry import Resources

service = FunctionService(
    name="t5-small",
    env={"MODEL_FQN": "t5-small"}
)
...