#!/usr/bin/env python3
from fastapi import FastAPI
from fastapi.responses import HTMLResponse
from binance.client import Client
from datetime import datetime
import json, os, time, sqlite3
app = FastAPI()
env = {}
with open('/home/marc/bot-deploy/.env') as f:
for line in f:
k, _, v = line.partition('=')
env[k.strip()] = v.strip()
binance = Client(env.get('BINANCE_API_KEY_LIVE'), env.get('BINANCE_API_SECRET_LIVE'))
DB = '/home/marc/bot-deploy/pnl_charts.db'
def get_chart_data(days=1):
conn = sqlite3.connect(DB)
rows = conn.execute(f"""SELECT ts, pv, pp FROM history WHERE ts > {int(time.time()) - days*86400} ORDER BY ts""").fetchall()
conn.close()
return [(datetime.fromtimestamp(r[0]).strftime('%H:%M'), r[2]) for r in rows]
@app.get('/')
async def root():
chart_1d = get_chart_data(1)
chart_7d = get_chart_data(7)
chart_30d = get_chart_data(30)
html = f'''
Trading Bot v0.6
🤖 Trading Bot v0.6
Contrarian Mean Reversion Strategy
Analytics
1-Day Chart: {len(chart_1d)} points
7-Day Chart: {len(chart_7d)} points
30-Day Chart: {len(chart_30d)} points
1D Performance
+{chart_1d[-1][1] if chart_1d else 0:.2f}%
7D Performance
+{chart_7d[-1][1] if chart_7d else 0:.2f}%
30D Performance
+{chart_30d[-1][1] if chart_30d else 0:.2f}%
'''
return HTMLResponse(html)
@app.get('/api/state')
async def state():
try:
acc = binance.get_account()
portfolio = sum(float(b['free']) * (1.0 if b['asset']=='USDT' else 0) for b in acc['balances'])
return {'portfolio': portfolio, 'status': 'ok'}
except:
return {'error': 'failed'}
if __name__ == '__main__':
import uvicorn
uvicorn.run(app, host='0.0.0.0', port=7000)