Add a helper method to get scenario defaults

Author: sjmonson

src/guidellm/__main__.py

@@ -1,7 +1,7 @@
 import asyncio
 import json
 from pathlib import Path
-from typing import get_args
+from typing import Any, get_args
 
 import click
 from pydantic import ValidationError
@@ -27,7 +27,7 @@ def parse_json(ctx, param, value):  # noqa: ARG001
         raise click.BadParameter(f"{param.name} must be a valid JSON string.") from err
 
 
-def set_if_not_default(ctx: click.Context, **kwargs):
+def set_if_not_default(ctx: click.Context, **kwargs) -> dict[str, Any]:
     """
     Set the value of a click option if it is not the default value.
     This is useful for setting options that are not None by default.
@@ -66,20 +66,20 @@ def cli():
         "The type of backend to use to run requests against. Defaults to 'openai_http'."
         f" Supported types: {', '.join(get_args(BackendType))}"
     ),
-    default=GenerativeTextScenario.model_fields["backend_type"].default,
+    default=GenerativeTextScenario.get_default("backend_type"),
 )
 @click.option(
     "--backend-args",
     callback=parse_json,
-    default=GenerativeTextScenario.model_fields["backend_args"].default,
+    default=GenerativeTextScenario.get_default("backend_args"),
     help=(
         "A JSON string containing any arguments to pass to the backend as a "
         "dict with **kwargs."
     ),
 )
 @click.option(
     "--model",
-    default=GenerativeTextScenario.model_fields["model"].default,
+    default=GenerativeTextScenario.get_default("model"),
     type=str,
     help=(
         "The ID of the model to benchmark within the backend. "
@@ -88,7 +88,7 @@ def cli():
 )
 @click.option(
     "--processor",
-    default=GenerativeTextScenario.model_fields["processor"].default,
+    default=GenerativeTextScenario.get_default("processor"),
     type=str,
     help=(
         "The processor or tokenizer to use to calculate token counts for statistics "
@@ -98,7 +98,7 @@ def cli():
 )
 @click.option(
     "--processor-args",
-    default=GenerativeTextScenario.model_fields["processor_args"].default,
+    default=GenerativeTextScenario.get_default("processor_args"),
     callback=parse_json,
     help=(
         "A JSON string containing any arguments to pass to the processor constructor "
@@ -116,7 +116,7 @@ def cli():
 )
 @click.option(
     "--data-args",
-    default=GenerativeTextScenario.model_fields["data_args"].default,
+    default=GenerativeTextScenario.get_default("data_args"),
     callback=parse_json,
     help=(
         "A JSON string containing any arguments to pass to the dataset creation "
@@ -125,7 +125,7 @@ def cli():
 )
 @click.option(
     "--data-sampler",
-    default=GenerativeTextScenario.model_fields["data_sampler"].default,
+    default=GenerativeTextScenario.get_default("data_sampler"),
     type=click.Choice(["random"]),
     help=(
         "The data sampler type to use. 'random' will add a random shuffle on the data. "
@@ -142,7 +142,7 @@ def cli():
 )
 @click.option(
     "--rate",
-    default=GenerativeTextScenario.model_fields["rate"].default,
+    default=GenerativeTextScenario.get_default("rate"),
     help=(
         "The rates to run the benchmark at. "
         "Can be a single number or a comma-separated list of numbers. "
@@ -155,7 +155,7 @@ def cli():
 @click.option(
     "--max-seconds",
     type=float,
-    default=GenerativeTextScenario.model_fields["max_seconds"].default,
+    default=GenerativeTextScenario.get_default("max_seconds"),
     help=(
         "The maximum number of seconds each benchmark can run for. "
         "If None, will run until max_requests or the data is exhausted."
@@ -164,7 +164,7 @@ def cli():
 @click.option(
     "--max-requests",
     type=int,
-    default=GenerativeTextScenario.model_fields["max_requests"].default,
+    default=GenerativeTextScenario.get_default("max_requests"),
     help=(
         "The maximum number of requests each benchmark can run for. "
         "If None, will run until max_seconds or the data is exhausted."
@@ -173,7 +173,7 @@ def cli():
 @click.option(
     "--warmup-percent",
     type=float,
-    default=GenerativeTextScenario.model_fields["warmup_percent"].default,
+    default=GenerativeTextScenario.get_default("warmup_percent"),
     help=(
         "The percent of the benchmark (based on max-seconds, max-requets, "
         "or lenth of dataset) to run as a warmup and not include in the final results. "
@@ -183,7 +183,7 @@ def cli():
 @click.option(
     "--cooldown-percent",
     type=float,
-    default=GenerativeTextScenario.model_fields["cooldown_percent"].default,
+    default=GenerativeTextScenario.get_default("cooldown_percent"),
     help=(
         "The percent of the benchmark (based on max-seconds, max-requets, or lenth "
         "of dataset) to run as a cooldown and not include in the final results. "
@@ -228,11 +228,11 @@ def cli():
         "The number of samples to save in the output file. "
         "If None (default), will save all samples."
     ),
-    default=GenerativeTextScenario.model_fields["output_sampling"].default,
+    default=GenerativeTextScenario.get_default("output_sampling"),
 )
 @click.option(
     "--random-seed",
-    default=GenerativeTextScenario.model_fields["random_seed"].default,
+    default=GenerativeTextScenario.get_default("random_seed"),
     type=int,
     help="The random seed to use for benchmarking to ensure reproducibility.",
 )

src/guidellm/benchmark/entrypoints.py

@@ -19,8 +19,6 @@
 from guidellm.request import GenerativeRequestLoader
 from guidellm.scheduler import StrategyType
 
-type benchmark_type = Literal["generative_text"]
-
 
 async def benchmark_with_scenario(scenario: Scenario, **kwargs):
     """

src/guidellm/benchmark/scenario.py

@@ -41,6 +41,11 @@ def parse_float_list(value: Union[str, float, list[float]]) -> list[float]:
 class Scenario(StandardBaseModel):
     target: str
 
+    @classmethod
+    def get_default(cls: type[T], field: str) -> Any:
+        """Get default values for model fields"""
+        return cls.model_fields[field].default
+
     @classmethod
     def from_file(
         cls: type[T], filename: Union[str, Path], overrides: Optional[dict] = None