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import json
import logging
import pathlib
import pandas as pd
import gradio as gr
import schedule
import time
from datetime import datetime, timezone
from src.envs import API
# Set up logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
class VoteManager:
def __init__(self, votes_path, eval_requests_path, repo_id):
self.votes_path = votes_path
self.eval_requests_path = eval_requests_path
self.repo_id = repo_id
self.vote_dataset = self.read_vote_dataset()
self.vote_check_set = self.make_check_set(self.vote_dataset)
self.votes_to_upload = []
def init_vote_dataset(self):
self.vote_dataset = self.read_vote_dataset()
self.vote_check_set = self.make_check_set(self.vote_dataset)
def read_vote_dataset(self):
result = []
votes_file = pathlib.Path(self.votes_path) / "votes_data.jsonl"
if votes_file.exists():
with open(votes_file, "r") as f:
for line in f:
data = json.loads(line.strip())
result.append(data)
result = pd.DataFrame(result)
return result
def make_check_set(self, vote_dataset: pd.DataFrame):
result = list()
for row in vote_dataset.itertuples(index=False, name='vote'):
result.append((row.model, row.revision, row.username))
return set(result)
def get_model_revision(self, selected_model: str) -> str:
"""Fetch the revision for the given model from the request files."""
for user_folder in pathlib.Path(self.eval_requests_path).iterdir():
if user_folder.is_dir():
for file in user_folder.glob("*.json"):
with open(file, "r") as f:
data = json.load(f)
if data.get("model") == selected_model:
return data.get("revision", "main")
return "main"
def create_request_vote_df(self, pending_models_df: gr.Dataframe):
if pending_models_df.empty or not "model_name" in pending_models_df.columns:
return pending_models_df
self.vote_dataset = self.read_vote_dataset()
vote_counts = self.vote_dataset.groupby(['model', 'revision']).size().reset_index(name='vote_count')
pending_models_df_votes = pd.merge(
pending_models_df,
vote_counts,
left_on=["model_name", 'revision'],
right_on=['model', 'revision'],
how='left'
)
# Filling empty votes
pending_models_df_votes['vote_count'] = pending_models_df_votes['vote_count'].fillna(0)
pending_models_df_votes = pending_models_df_votes.sort_values(by=["vote_count", "model_name"], ascending=[False, True])
# Removing useless columns
pending_models_df_votes = pending_models_df_votes.drop(["model_name", "model"], axis=1)
return pending_models_df_votes
# Function to be called when a user votes for a model
def add_vote(
self,
selected_model: str,
pending_models_df: gr.Dataframe,
profile: gr.OAuthProfile | None
):
logger.debug(f"Type of list before usage: {type(list)}")
# model_name, revision, user_id, timestamp
if selected_model in ["str", ""]:
gr.Warning("No model selected")
return
if profile is None:
gr.Warning("Hub Login required")
return
vote_username = profile.username
model_revision = self.get_model_revision(selected_model)
# tuple (immutable) for checking than already voted for model
check_tuple = (selected_model, model_revision, vote_username)
if check_tuple in self.vote_check_set:
gr.Warning("Already voted for this model")
return
current_time = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
vote_obj = {
"model": selected_model,
"revision": model_revision,
"username": vote_username,
"timestamp": current_time
}
# Append the vote to the JSONL file
try:
votes_file = pathlib.Path(self.votes_path) / "votes_data.jsonl"
with open(votes_file, "a") as f:
f.write(json.dumps(vote_obj) + "\n")
logger.info(f"Vote added locally: {vote_obj}")
self.votes_to_upload.append(vote_obj)
except Exception as e:
logger.error(f"Failed to write vote to file: {e}")
gr.Warning("Failed to record vote. Please try again")
return
self.vote_check_set.add(check_tuple)
gr.Info(f"Voted for {selected_model}")
return self.create_request_vote_df(pending_models_df)
def upload_votes(self):
if self.votes_to_upload:
votes_file = pathlib.Path(self.votes_path) / "votes_data.jsonl"
try:
with open(votes_file, "rb") as f:
API.upload_file(
path_or_fileobj=f,
path_in_repo="votes_data.jsonl",
repo_id=self.repo_id,
repo_type="dataset",
commit_message="Updating votes_data.jsonl with new votes",
)
logger.info("Votes uploaded to votes repository")
self.votes_to_upload.clear()
except Exception as e:
logger.error(f"Failed to upload votes to repository: {e}")
def run_scheduler(vote_manager):
while True:
schedule.run_pending()
time.sleep(1)
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