evaluationServer / hf_utils.py
NidhiS09's picture
Restructure for challenges
7ee2ab0
Raw
History Blame Contribute Delete
7.64 kB
import json
import os
import tempfile
import time
import uuid
from datetime import datetime, timezone
from typing import Any, Dict, List
import pandas as pd
from huggingface_hub import HfApi, hf_hub_download
from huggingface_hub.utils import HfHubHTTPError
from config import DB_REPO_ID, DB_REPO_TYPE, SUBMISSIONS_TOKEN, DAILY_SUBMISSION_CAP
# =========================
# HF API CLIENT
# =========================
_api = None
def api_client() -> HfApi:
global _api
if _api is None:
_api = HfApi()
return _api
# =========================
# DATE / CAP HELPERS
# =========================
def _today_utc_str() -> str:
return datetime.now(timezone.utc).strftime("%Y-%m-%d")
def _get_cap_for_phase(phase_codename: str) -> int:
"""Return the daily submission cap for a given phase."""
if phase_codename in ("test-challenge2024", "test-challenge2025"):
return 1
return DAILY_SUBMISSION_CAP
def _count_submissions_today(username: str, phase_codename: str | None = None) -> int:
"""Count today's submissions for a user, optionally filtered by phase."""
try:
files = api_client().list_repo_files(
repo_id=DB_REPO_ID, repo_type=DB_REPO_TYPE, token=SUBMISSIONS_TOKEN
)
today = _today_utc_str()
count = 0
for f in files:
if not (f.startswith("submissions/") and f.endswith("/meta.json")):
continue
try:
p = hf_hub_download(
repo_id=DB_REPO_ID, repo_type=DB_REPO_TYPE,
filename=f, token=SUBMISSIONS_TOKEN
)
meta = json.load(open(p))
if meta.get("username", "").lower() != username.lower():
continue
if phase_codename and meta.get("phase_codename") != phase_codename:
continue
ts = meta.get("timestamp", 0)
sub_date = datetime.fromtimestamp(ts, tz=timezone.utc).strftime("%Y-%m-%d")
if sub_date == today:
count += 1
except Exception:
continue
return count
except Exception:
return 0
# =========================
# UPLOAD HELPERS
# =========================
def _upload_json(data: Any, path_in_repo: str, commit_message: str = "") -> None:
with tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False) as tmp:
json.dump(data, tmp, ensure_ascii=False)
tmp_path = tmp.name
try:
api_client().upload_file(
path_or_fileobj=tmp_path,
path_in_repo=path_in_repo,
repo_id=DB_REPO_ID,
repo_type=DB_REPO_TYPE,
token=SUBMISSIONS_TOKEN,
commit_message=commit_message or f"Add {path_in_repo}",
)
finally:
try:
os.remove(tmp_path)
except OSError:
pass
def _create_submission_record(*, pred, team, model_name, phase_codename,
challenge_type, original_filename, username, email,
subfolder: str = "") -> str:
"""
Write pred.json / meta.json / status.json to the dataset repo.
subfolder: e.g. "answer-therapy" → submissions/answer-therapy/<uuid>/
"""
if not SUBMISSIONS_TOKEN:
raise ValueError("Missing SUBMISSIONS_TOKEN.")
submission_id = str(uuid.uuid4())
ts = int(time.time())
meta = {
"submission_id": submission_id,
"team": team.strip(),
"model": model_name.strip(),
"phase_codename": phase_codename,
"challenge_type": challenge_type,
"timestamp": ts,
"original_filename": original_filename,
"username": username,
"email": email,
}
status = {"state": "queued", "timestamp": ts}
prefix = f"submissions/{subfolder}/{submission_id}" if subfolder else f"submissions/{submission_id}"
_upload_json(pred, f"{prefix}/pred.json", f"pred {submission_id}")
_upload_json(meta, f"{prefix}/meta.json", f"meta {submission_id}")
_upload_json(status, f"{prefix}/status.json", f"status {submission_id}")
return submission_id
# =========================
# READ HELPERS
# =========================
def _load_user_submissions(username: str, subfolder: str = "") -> List[Dict]:
"""Load all submissions for a user from a given subfolder (or root)."""
if not SUBMISSIONS_TOKEN:
return []
try:
files = api_client().list_repo_files(
repo_id=DB_REPO_ID, repo_type=DB_REPO_TYPE, token=SUBMISSIONS_TOKEN
)
except Exception:
return []
prefix = f"submissions/{subfolder}/" if subfolder else "submissions/"
results = []
for f in files:
if not (f.startswith(prefix) and f.endswith("/meta.json")):
continue
try:
parts = f.split("/")
sid = parts[2] if subfolder else parts[1]
meta_path = hf_hub_download(
repo_id=DB_REPO_ID, repo_type=DB_REPO_TYPE,
filename=f, token=SUBMISSIONS_TOKEN
)
meta = json.load(open(meta_path))
if meta.get("username", "").lower() != username.lower():
continue
status_file = f"{prefix}{sid}/status.json"
try:
status_path = hf_hub_download(
repo_id=DB_REPO_ID, repo_type=DB_REPO_TYPE,
filename=status_file, token=SUBMISSIONS_TOKEN
)
status = json.load(open(status_path))
except Exception:
status = {"state": "unknown"}
metrics = status.get("metrics", {}) if status.get("state") == "done" else {}
error = status.get("error", "") if status.get("state") == "failed" else ""
results.append({
"submission_id": sid,
"team": meta.get("team", ""),
"model": meta.get("model", ""),
"phase": meta.get("phase_codename", ""),
"challenge_type": meta.get("challenge_type", ""),
"timestamp": meta.get("timestamp", 0),
"state": status.get("state", "unknown"),
"error": error[:120] if error else "",
**metrics,
})
except Exception:
continue
results.sort(key=lambda x: x["timestamp"], reverse=True)
return results
def _load_leaderboard_df(leaderboard_file: str, metric_cols: list) -> pd.DataFrame:
"""Generic leaderboard loader for any challenge."""
empty = pd.DataFrame(columns=["team", "model", "phase_codename", *metric_cols, "timestamp"])
if not SUBMISSIONS_TOKEN:
return empty
try:
path = hf_hub_download(
repo_id=DB_REPO_ID, repo_type=DB_REPO_TYPE,
filename=leaderboard_file, token=SUBMISSIONS_TOKEN
)
except HfHubHTTPError as e:
if "404" in str(e):
return empty
raise
rows = []
with open(path, "r", encoding="utf-8") as f:
for line in f:
line = line.strip()
if not line:
continue
try:
rows.append(json.loads(line))
except json.JSONDecodeError:
continue
if not rows:
return empty
df = pd.DataFrame(rows)
for col in ["team", "model", "phase_codename", "timestamp", *metric_cols]:
if col not in df.columns:
df[col] = None
return df