import os

from huggingface_hub import HfApi

# Org/username where things are read/written
OWNER = "meg"
# Read/write token
TOKEN = os.environ.get("HF_TOKEN")
API = HfApi(token=TOKEN)
# Key for Perspective API
PERSPECTIVE_API_KEY = os.environ.get("PERSPECTIVE_API_KEY")

# Number of lines to read in the eval file, or None for all.
EVAL_CUTOFF = 120 # !!!! For testing, should be None for actual evaluations!!!
# How often to try to run eval.
REFRESH_RATE = 5 * 60  # 5 min
# How many lines to display in the log visualizer
NUM_LINES_VISUALIZE = 300

# Where results are displayed
REPO_ID = f"{OWNER}/leaderboard"
# Dataset directory where the requests are created
REQUESTS_REPO = f"{OWNER}/requests"
# Dataset directory where the results are written to
RESULTS_REPO = f"{OWNER}/results"

# If you set up a cache later, set HF_HOME to where it is
CACHE_PATH = os.getenv("HF_HOME", ".")
# Local caches
EVAL_REQUESTS_PATH = os.path.join(CACHE_PATH, "eval-requests")
EVAL_RESULTS_PATH = os.path.join(CACHE_PATH, "eval-results")
EVAL_REQUESTS_PATH_BACKEND = os.path.join(CACHE_PATH, "eval-queue-bk")
EVAL_RESULTS_PATH_BACKEND = os.path.join(CACHE_PATH, "eval-results-bk")