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import os
from enum import Enum


def resolve_deploy_path(rel_path: str) -> str:
    """Resolve a deploy YAML path relative to the dynamo workspace root.

    Uses get_workspace_dir() which handles repo root, container, and env var cases.
    """
    from dynamo.common.utils.paths import get_workspace_dir

    return os.path.join(get_workspace_dir(), rel_path)


DYNAMO_RUN_DEFAULT_PORT = 8000

# set a decode maximum concurrency due to limits of profiling tools
# for MoE models with attn-dp, we might hit this limit
DECODE_MAX_CONCURRENCY = 2000

# set a prefill maximum number of tokens to 32768 to avoid chunked prefill but not too large to cause activation tensor too large
PREFILL_MAX_NUM_TOKENS = 32768

# AIPerf benchmarking related defaults
AIPERF_WARMUP_REQUEST_PER_DP_RANK = 3
AIPERF_PREFILL_BENCHMARK_OSL = 5
AIPERF_PREFILL_ATTN_DP_NUM_REQ_RATIO = 4

# Cost calculation defaults
# TODO: allow user to configure this in GUI
DEFAULT_GPU_COST_PER_HOUR = 3.0  # Cost per GPU per hour in dollars


class EngineType(str, Enum):
    PREFILL = "prefill"
    DECODE = "decode"
