MERA_Reason / src /envs.py
mathamateur
Add submission archives
efa5772
Raw
History Blame Contribute Delete
1.47 kB
import os
from huggingface_hub import get_token
PROJECT_ROOT = os.path.dirname(os.path.dirname(__file__))
RESULTS_DIR = os.environ.get("RESULTS_DIR", os.path.join(PROJECT_ROOT, "results"))
SUBMISSIONS_DIR = os.environ.get(
"SUBMISSIONS_DIR",
os.path.join(RESULTS_DIR, "submissions"),
)
SUBMISSIONS_REPO_PREFIX = "submissions"
def _resolve_space_repo() -> str | None:
space_id = os.environ.get("SPACE_ID")
if space_id:
return space_id
author = os.environ.get("SPACE_AUTHOR_NAME")
repo_name = os.environ.get("SPACE_REPO_NAME")
if author and repo_name:
return f"{author}/{repo_name}"
return None
def _resolve_results_dataset_repo() -> str | None:
explicit = os.environ.get("RESULTS_DATASET_REPO") or os.environ.get("RESULTS_REPO")
if explicit:
return explicit
space_id = _resolve_space_repo()
if space_id:
owner, repo_name = space_id.split("/", 1)
return f"{owner}/{repo_name}_results"
return None
def _resolve_token() -> str | None:
return (
get_token()
or os.environ.get("HF_TOKEN")
or os.environ.get("HUGGING_FACE_HUB_TOKEN")
or os.environ.get("HUGGINGFACEHUB_API_TOKEN")
)
SPACE_REPO = _resolve_space_repo()
RESULTS_DATASET_REPO = _resolve_results_dataset_repo()
TOKEN = _resolve_token()
ON_SPACE = bool(os.environ.get("SPACE_ID") or os.environ.get("SPACE_REPO_NAME"))
USE_HUB_STORAGE = bool(RESULTS_DATASET_REPO and TOKEN)