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from pathlib import Path
import tempfile
from typing import BinaryIO
import json
import gradio as gr
from datetime import datetime, timezone
import uuid
from constants import API, SUBMISSIONS_REPO, REGISTRATION_CODE
from validation import validate_csv_file, validate_username
def upload_submission(
file_path: Path,
user_state,
submission_type: str,
model_name: str,
model_description: str,
anonymous: bool = False,
):
timestamp = datetime.now(timezone.utc).isoformat()
date = datetime.now(timezone.utc).date().isoformat()
submission_id = str(uuid.uuid4())
with file_path.open("rb") as f_in:
file_content = f_in.read().decode("utf-8")
validate_csv_file(file_content, submission_type)
# write to dataset
filename = f"{user_state}/{date}_{model_name}_{submission_id}.json" # Writing to a bit more structured name
# Note: This may be represented as Parquet in the future, so the schema needs to stay consistent
record = {
"submission_id": submission_id,
"submission_filename": filename,
"submission_time": timestamp,
"evaluated": False,
"user": user_state,
"model_name": model_name,
"model_description": model_description,
"csv_content": file_content,
"dataset": submission_type,
"anonymous": anonymous,
}
with tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False) as tmp:
json.dump(record, tmp, indent=2)
tmp.flush()
tmp_name = tmp.name
API.upload_file(
path_or_fileobj=tmp_name,
path_in_repo=filename,
repo_id=SUBMISSIONS_REPO,
repo_type="dataset",
commit_message=f"Add submission for {user_state} at {timestamp}",
)
Path(tmp_name).unlink()
def make_submission(
submitted_file: BinaryIO,
user_state,
submission_type: str = "GDPa1",
model_name: str = "",
model_description: str = "",
anonymous: bool = False,
registration_code: str = "",
profile: gr.OAuthProfile | None = None,
):
if profile:
user_state = profile.name
user_state = user_state
validate_username(user_state)
model_name = model_name.strip()
model_description = model_description.strip()
if not model_name:
raise gr.Error("Please provide a model name.")
if not model_description:
model_description = ""
# raise gr.Error("Please provide a model description.") # Not mandatory anymore
if str(registration_code).strip().upper() != REGISTRATION_CODE:
raise gr.Error(
"Invalid registration code. Please register on the <a href='https://datapoints.ginkgo.bio/ai-competitions/2025-abdev-competition'>Competition Registration page</a> or email <a href='mailto:[email protected]'>[email protected]</a>."
)
if submitted_file is None:
raise gr.Error("Please upload a CSV file before submitting.")
file_path = submitted_file.name
if not file_path:
raise gr.Error("Uploaded file object does not have a valid file path.")
path_obj = Path(file_path)
if path_obj.suffix.lower() != ".csv":
raise gr.Error("File must be a CSV file. Please upload a .csv file.")
upload_submission(
file_path=path_obj,
user_state=user_state,
submission_type=submission_type,
model_name=model_name,
model_description=model_description,
anonymous=anonymous,
)
return "✅ Your submission has been received! Sit tight and your scores will appear on the leaderboard shortly."
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