# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.

from functools import lru_cache
from typing import List, Optional

from .datatypes import *  # noqa: F403


@lru_cache()
def available_distribution_specs() -> List[DistributionSpec]:
    return [
        DistributionSpec(
            distribution_id="local",
            description="Use code from `llama_toolchain` itself to serve all llama stack APIs",
            providers={
                Api.inference: "meta-reference",
                Api.memory: "meta-reference-faiss",
                Api.safety: "meta-reference",
                Api.agentic_system: "meta-reference",
            },
        ),
        DistributionSpec(
            distribution_id="remote",
            description="Point to remote services for all llama stack APIs",
            providers={x: "remote" for x in Api},
        ),
        DistributionSpec(
            distribution_id="local-ollama",
            description="Like local, but use ollama for running LLM inference",
            providers={
                Api.inference: remote_provider_id("ollama"),
                Api.safety: "meta-reference",
                Api.agentic_system: "meta-reference",
                Api.memory: "meta-reference-faiss",
            },
        ),
        DistributionSpec(
            spec_id="remote-fireworks",
            description="Use Fireworks.ai for running LLM inference",
            provider_specs={
                Api.inference: providers[Api.inference]["fireworks"],
                Api.safety: providers[Api.safety]["meta-reference"],
                Api.agentic_system: providers[Api.agentic_system]["meta-reference"],
            },
        ),
    ]


@lru_cache()
def resolve_distribution_spec(distribution_id: str) -> Optional[DistributionSpec]:
    for spec in available_distribution_specs():
        if spec.distribution_id == distribution_id:
            return spec
    return None