ml-agent / agent /core /session_uploader.py
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#!/usr/bin/env python3
"""
Standalone script for uploading session trajectories to HuggingFace.
This runs as a separate process to avoid blocking the main agent.
Uses individual file uploads to avoid race conditions.
"""
import json
import os
import sys
from datetime import datetime
from pathlib import Path
from dotenv import load_dotenv
load_dotenv()
# Token for session uploads — loaded from env var (never hardcode tokens in source)
_SESSION_TOKEN = os.environ.get("HF_SESSION_UPLOAD_TOKEN", "")
def upload_session_as_file(
session_file: str, repo_id: str, max_retries: int = 3
) -> bool:
"""
Upload a single session as an individual JSONL file (no race conditions)
Args:
session_file: Path to local session JSON file
repo_id: HuggingFace dataset repo ID
max_retries: Number of retry attempts
Returns:
True if successful, False otherwise
"""
try:
from huggingface_hub import HfApi
except ImportError:
print("Error: huggingface_hub library not available", file=sys.stderr)
return False
try:
# Load session data
with open(session_file, "r") as f:
data = json.load(f)
# Check if already uploaded
upload_status = data.get("upload_status")
if upload_status == "success":
return True
# Use dedicated session upload token (write-only access to session dataset)
hf_token = _SESSION_TOKEN
if not hf_token:
# Update status to failed
data["upload_status"] = "failed"
with open(session_file, "w") as f:
json.dump(data, f, indent=2)
return False
# Prepare JSONL content (single line)
# Store messages and events as JSON strings to avoid schema conflicts
session_row = {
"session_id": data["session_id"],
"session_start_time": data["session_start_time"],
"session_end_time": data["session_end_time"],
"model_name": data["model_name"],
"messages": json.dumps(data["messages"]),
"events": json.dumps(data["events"]),
}
# Create temporary JSONL file
import tempfile
with tempfile.NamedTemporaryFile(
mode="w", suffix=".jsonl", delete=False
) as tmp:
json.dump(session_row, tmp) # Single line JSON
tmp_path = tmp.name
try:
# Generate unique path in repo: sessions/YYYY-MM-DD/session_id.jsonl
session_id = data["session_id"]
date_str = datetime.fromisoformat(data["session_start_time"]).strftime(
"%Y-%m-%d"
)
repo_path = f"sessions/{date_str}/{session_id}.jsonl"
# Upload with retries
api = HfApi()
for attempt in range(max_retries):
try:
# Try to create repo if it doesn't exist (idempotent)
try:
api.create_repo(
repo_id=repo_id,
repo_type="dataset",
private=False,
token=hf_token,
exist_ok=True, # Don't fail if already exists
)
except Exception:
# Repo might already exist, continue
pass
# Upload the session file
api.upload_file(
path_or_fileobj=tmp_path,
path_in_repo=repo_path,
repo_id=repo_id,
repo_type="dataset",
token=hf_token,
commit_message=f"Add session {session_id}",
)
# Update local status to success
data["upload_status"] = "success"
data["upload_url"] = f"https://huggingface.co/datasets/{repo_id}"
with open(session_file, "w") as f:
json.dump(data, f, indent=2)
return True
except Exception:
if attempt < max_retries - 1:
import time
wait_time = 2**attempt
time.sleep(wait_time)
else:
# Final attempt failed
data["upload_status"] = "failed"
with open(session_file, "w") as f:
json.dump(data, f, indent=2)
return False
finally:
# Clean up temp file
try:
os.unlink(tmp_path)
except Exception:
pass
except Exception as e:
print(f"Error uploading session: {e}", file=sys.stderr)
return False
def retry_failed_uploads(directory: str, repo_id: str):
"""Retry all failed/pending uploads in a directory"""
log_dir = Path(directory)
if not log_dir.exists():
return
session_files = list(log_dir.glob("session_*.json"))
for filepath in session_files:
try:
with open(filepath, "r") as f:
data = json.load(f)
upload_status = data.get("upload_status", "unknown")
# Only retry pending or failed uploads
if upload_status in ["pending", "failed"]:
upload_session_as_file(str(filepath), repo_id)
except Exception:
pass
if __name__ == "__main__":
if len(sys.argv) < 3:
print("Usage: session_uploader.py <command> <args...>")
sys.exit(1)
command = sys.argv[1]
if command == "upload":
# python session_uploader.py upload <session_file> <repo_id>
if len(sys.argv) < 4:
print("Usage: session_uploader.py upload <session_file> <repo_id>")
sys.exit(1)
session_file = sys.argv[2]
repo_id = sys.argv[3]
success = upload_session_as_file(session_file, repo_id)
sys.exit(0 if success else 1)
elif command == "retry":
# python session_uploader.py retry <directory> <repo_id>
if len(sys.argv) < 4:
print("Usage: session_uploader.py retry <directory> <repo_id>")
sys.exit(1)
directory = sys.argv[2]
repo_id = sys.argv[3]
retry_failed_uploads(directory, repo_id)
sys.exit(0)
else:
print(f"Unknown command: {command}")
sys.exit(1)