import json
import os

import torch

ARTIFACT_REPO = "multimodalart/flux-3-action-so101-aoti"
INDUCTOR_CONFIGS = {"max_autotune": True, "coordinate_descent_tuning": True, "triton.cudagraphs": False}


def block_groups(dit):
    groups = {"single": list(dit.single_blocks), "mode_txt": list(dit.txt_mode_blocks)}
    for name, blocks in dit.content_mode_blocks.items():
        groups[f"mode_{name}"] = list(blocks)
    return groups


class Fallback:
    def __init__(self, compiled, eager, state):
        self.compiled = compiled
        self.eager = eager
        self.state = state

    def __call__(self, *args, **kwargs):
        if self.state["ok"]:
            try:
                return self.compiled(*args, **kwargs)
            except Exception as e:
                self.state["ok"] = False
                self.state["error"] = repr(e)[:300]
        return self.eager(*args, **kwargs)


def load(dit, repo_id=ARTIFACT_REPO, token=None):
    from huggingface_hub import hf_hub_download
    from spaces.zero.torch.aoti import LazyAOTIModel, aoti_patch

    config = json.load(open(hf_hub_download(repo_id, "config.json", token=token)))
    if config.get("torch") != torch.__version__:
        raise RuntimeError(f"artifacts built for torch {config.get('torch')}, runtime is {torch.__version__}")
    state = {"ok": True, "error": None, "groups": []}
    groups = block_groups(dit)
    for name in config["groups"]:
        path = hf_hub_download(repo_id, "package.pt2", subfolder=name, token=token)
        model = LazyAOTIModel(path)
        for block in groups[name]:
            eager = block.forward
            aoti_patch(block, model)
            block.forward = Fallback(block.forward, eager, state)
        state["groups"].append(name)
    return state


def enabled():
    return os.environ.get("FLUX3_AOTI", "1") != "0"