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import gradio as gr
import json
import os
import sys
import logging
import pandas as pd
import time
from datetime import datetime, timedelta
import psutil
from pathlib import Path
# Internal config for paths and markers
try:
from src.config import DATA_DIR, LOG_DIR, LAST_RUN_PATH
except Exception:
# Fallbacks if import path differs in Spaces
try:
from config import DATA_DIR, LOG_DIR, LAST_RUN_PATH # type: ignore
except Exception:
DATA_DIR = os.environ.get('DATA_DIR', '/data')
LOG_DIR = os.environ.get('LOG_DIR', os.path.join(DATA_DIR, 'logs'))
LAST_RUN_PATH = os.environ.get('LAST_RUN_PATH', '/tmp/last_run.txt')
# Add src to Python path for imports
sys.path.insert(0, '/app/src')
sys.path.insert(0, '/app')
# Configure logging
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[logging.StreamHandler(sys.stdout)]
)
logger = logging.getLogger(__name__)
def get_health_status():
"""Get basic health status"""
try:
# Get process info
process = psutil.Process()
memory_mb = process.memory_info().rss / 1024 / 1024
cpu_percent = process.cpu_percent()
# Get system info
memory = psutil.virtual_memory()
disk = psutil.disk_usage('/')
# Check scheduler status
scheduler_running = False
last_run_time = "Unknown"
try:
last_run_file = LAST_RUN_PATH
if os.path.exists(last_run_file):
with open(last_run_file, 'r') as f:
last_run_str = f.read().strip()
last_run = datetime.strptime(last_run_str, '%Y-%m-%d %H:%M:%S')
time_since_last_run = (datetime.now() - last_run).total_seconds()
scheduler_running = time_since_last_run < 2700 # 45 minutes
last_run_time = last_run_str
except Exception as e:
logger.warning(f"Could not check scheduler status: {e}")
return {
"status": "healthy" if memory_mb < 400 else "warning",
"timestamp": datetime.now().isoformat(),
"process_memory_mb": round(memory_mb, 2),
"process_cpu_percent": round(cpu_percent, 2),
"system_memory_percent": round(memory.percent, 1),
"system_memory_available_gb": round(memory.available / (1024**3), 2),
"disk_free_gb": round(disk.free / (1024**3), 2),
"scheduler_running": scheduler_running,
"scheduler_last_run": last_run_time
}
except Exception as e:
logger.error(f"Health check failed: {e}")
return {
"status": "error",
"error": str(e),
"timestamp": datetime.now().isoformat()
}
def get_pipeline_status():
"""Get data pipeline status"""
try:
data_dirs = [
os.path.join(DATA_DIR, 'merged', 'features'),
os.path.join(DATA_DIR, 'merged', 'train'),
os.path.join(DATA_DIR, 'alpaca'),
os.path.join(DATA_DIR, 'advisorai-data'),
]
recent_files = 0
total_size = 0
for data_dir in data_dirs:
if os.path.exists(data_dir):
for root, dirs, files in os.walk(data_dir):
for file in files:
if file.endswith(('.json', '.parquet', '.csv')):
file_path = os.path.join(root, file)
try:
stat = os.stat(file_path)
# Count files modified in last 24 hours
if time.time() - stat.st_mtime < 86400:
recent_files += 1
total_size += stat.st_size
except Exception:
continue
return {
"status": "running" if recent_files > 0 else "stale",
"recent_files_24h": recent_files,
"total_data_size_gb": round(total_size / (1024**3), 2),
"last_check": datetime.now().isoformat()
}
except Exception as e:
logger.error(f"Pipeline status check failed: {e}")
return {
"status": "error",
"error": str(e),
"last_check": datetime.now().isoformat()
}
def get_recent_files():
"""Get list of recent files in the data directories"""
try:
base_paths = [
os.path.join(DATA_DIR, 'merged', 'features'),
os.path.join(DATA_DIR, 'merged', 'train'),
os.path.join(DATA_DIR, 'alpaca'),
os.path.join(DATA_DIR, 'advisorai-data', 'features'),
]
recent_files = []
for base_path in base_paths:
if os.path.exists(base_path):
for root, dirs, files in os.walk(base_path):
for file in files[:10]: # Limit to 10 files per directory
file_path = os.path.join(root, file)
try:
stat = os.stat(file_path)
recent_files.append({
"File": file,
"Path": file_path.replace(DATA_DIR.rstrip('/') + '/', ""),
"Size": f"{stat.st_size / (1024**2):.2f} MB",
"Modified": datetime.fromtimestamp(stat.st_mtime).strftime("%Y-%m-%d %H:%M")
})
except Exception:
continue
# Sort by modification time and take most recent 20
recent_files.sort(key=lambda x: x["Modified"], reverse=True)
return recent_files[:20]
except Exception as e:
logger.error(f"Error getting recent files: {e}")
return [{"Error": str(e)}]
def get_logs():
"""Get recent log entries"""
try:
log_files = [
"/data/logs/scheduler.log",
"/data/logs/data_pipeline.log",
"/data/logs/monitor.log"
]
logs = []
for log_file in log_files:
if os.path.exists(log_file):
try:
with open(log_file, 'r', encoding='utf-8') as f:
lines = f.readlines()
# Get last 10 lines
recent_lines = lines[-10:] if len(lines) > 10 else lines
logs.append(f"=== {os.path.basename(log_file)} ===\n")
logs.extend(recent_lines)
logs.append("\n")
except Exception as e:
logs.append(f"Error reading {log_file}: {str(e)}\n")
return "".join(logs) if logs else "No log files found"
except Exception as e:
logger.error(f"Error getting logs: {e}")
return f"Error getting logs: {str(e)}"
# Create Gradio interface
with gr.Blocks(title="AdvisorAI Data Pipeline Monitor", theme=gr.themes.Soft()) as app:
gr.Markdown("# 🤖 AdvisorAI Data Pipeline Monitor")
gr.Markdown("Real-time monitoring of the AdvisorAI data collection and processing pipeline")
with gr.Tabs():
with gr.TabItem("📊 Dashboard"):
with gr.Row():
with gr.Column():
gr.Markdown("### Health Status")
health_display = gr.JSON(label="System Health & Status")
with gr.Column():
gr.Markdown("### Pipeline Status")
pipeline_display = gr.JSON(label="Data Pipeline Status")
with gr.Row():
refresh_btn = gr.Button("🔄 Refresh", variant="primary")
with gr.TabItem("📁 Recent Files"):
gr.Markdown("### Recently Modified Data Files")
files_display = gr.Dataframe(
headers=["File", "Path", "Size", "Modified"],
datatype=["str", "str", "str", "str"],
label="Recent Files"
)
refresh_files_btn = gr.Button("🔄 Refresh Files")
with gr.TabItem("📝 Logs"):
gr.Markdown("### Recent Log Entries")
logs_display = gr.Textbox(
label="Recent Logs",
lines=20,
max_lines=30,
show_copy_button=True
)
refresh_logs_btn = gr.Button("🔄 Refresh Logs")
# Event handlers
def refresh_dashboard():
health = get_health_status()
pipeline = get_pipeline_status()
# JSON components accept dicts directly
return health, pipeline
def refresh_files():
files = get_recent_files()
if not files:
return []
if isinstance(files, list) and isinstance(files[0], dict) and "Error" not in files[0]:
rows = []
for f in files:
rows.append([f.get("File",""), f.get("Path",""), f.get("Size",""), f.get("Modified","")])
return rows
return [["Error", str(files), "", ""]]
def refresh_logs():
return get_logs()
# Connect event handlers
refresh_btn.click(
refresh_dashboard,
outputs=[health_display, pipeline_display]
)
refresh_files_btn.click(
refresh_files,
outputs=[files_display]
)
refresh_logs_btn.click(
refresh_logs,
outputs=[logs_display]
)
# Auto-refresh on load
app.load(
refresh_dashboard,
outputs=[health_display, pipeline_display]
)
app.load(
refresh_files,
outputs=[files_display]
)
if __name__ == "__main__":
logger.info("Starting Gradio app...")
port = int(os.environ.get("PORT", "7860"))
app.launch(
server_name="0.0.0.0",
server_port=port,
share=False,
show_error=True,
quiet=False
)
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