#!/usr/bin/python3

import krakenex
import json, sqlite3
import requests, os, time
import threading
from flask import Flask, request

database = "btc_ohlc.db"
app = Flask(__name__)

database_lock = threading.Lock()

# Empty response json
empty_dict = {"exchange": "", "timestamp": 0, "open": 0, "high": 0, "low": 0, "close": 0, "volume_quote": 0, "volume_base": 0, "trades": 0}
empty_json = json.dumps(empty_dict)

def Checkthedatabase():
  ## Some sanity for the database
  # check if btc_timeseries.db database file exists
  if not os.path.exists(database):
    db = sqlite3.connect(database)
    
    db.execute("""\
    CREATE TABLE ohlc (
    id INTEGER PRIMARY KEY,
    exchange TEXT NOT NULL,
    timestamp INTEGER NOT NULL,
    open REAL NOT NULL,
    high REAL NOT NULL,
    low REAL NOT NULL,
    close REAL NOT NULL,
    volume_quote REAL NOT NULL,
    volume_base REAL NOT NULL,
    trades INTEGER NOT NULL )""")

    db.commit()
    db.close()
  
  db = sqlite3.connect(database)
  
  # Check if the table exists
  table_exists = False
  cursor = db.execute("PRAGMA table_info(ohlc)")
  for row in cursor:
    table_exists = True
  
  # Create the table if it doesn't exist
  if not table_exists:
    db.execute("""\
    CREATE TABLE ohlc (
    id INTEGER PRIMARY KEY,
    exchange TEXT NOT NULL,
    timestamp INTEGER NOT NULL,
    open REAL NOT NULL,
    high REAL NOT NULL,
    low REAL NOT NULL,
    close REAL NOT NULL,
    volume_quote REAL NOT NULL,
    volume_base REAL NOT NULL,
    trades INTEGER NOT NULL )""")
    db.commit()

def fetch_kraken():
### Kraken
  kraken = krakenex.API()
  
  response = kraken.query_public('OHLC', {'pair': 'BTCUSD', 'interval': 240 })
  ohlc_data = response['result']['XXBTZUSD']
  
  candle_stick_data = {
      'exchange': 'kraken',
      'timestamp': ohlc_data[1][0],
      'open': ohlc_data[0][1],
      'high': max(item[2] for item in ohlc_data),
      'low': min(item[3] for item in ohlc_data),
      'close': ohlc_data[-1][4],
      'volume_quote': sum(float(item[5]) for item in ohlc_data),
      'volume_base': sum(float(item[6]) for item in ohlc_data),
      'trades': sum(item[7] for item in ohlc_data),
  }
  
  kraken_json = json.dumps(candle_stick_data, indent=2)
  #print("Kraken: OK")
  #print(kraken_json)
  return kraken_json

def fetch_bitstamp():
## Bitstamp
  response = requests.get("https://www.bitstamp.net/api/v2/ohlc/btcusd/?step=300&limit=1")
  
  if response.status_code == 200:  # check if the request was successful
    bitstamp_data = response.json()
    ohlc_data = bitstamp_data["data"]["ohlc"]
    
    candle_stick_data = {
        'exchange': 'bitstamp',
        'timestamp': int(ohlc_data[0]['timestamp']),
        'open': float(ohlc_data[0]['open']),
        'high': float(ohlc_data[0]['high']),
        'low': float(ohlc_data[0]['low']),
        'close': float(ohlc_data[0]['close']),
        'volume_quote': float(ohlc_data[0]['volume']),
        'volume_base': 0,  # not provided by Bitstamp API
        'trades': 0,  # not provided by Bitstamp API
    }
    
    bitstamp_json = json.dumps(candle_stick_data, indent=2)
    #print("Bitstamp: OK")
 #   print(bitstamp_json)
    return bitstamp_json
  else:
    print(f"Error fetching data from Bitstamp API: {response.status_code}")
    return empty_json

def fetch_bitfinex():
## Bitfinex
  response = requests.get("https://api-pub.bitfinex.com/v2/candles/trade:5m:tBTCUSD/last")
  
  if response.status_code == 200:  # check if the request was successful
    ohlc_data = response.json()
    candle_stick_data = {
        'exchange': 'bitfinex',
        'timestamp': ohlc_data[0],
        'open': ohlc_data[1],
        'high': ohlc_data[2],
        'low': ohlc_data[3],
        'close': ohlc_data[4],
        'volume_quote': ohlc_data[5],
        'volume_base': 0,  # not provided by Bitfinex API
        'trades': 0,  # not provided by Bitfinex API
    }
    
    bitfinex_json = json.dumps(candle_stick_data, indent=2)
    #print("Bitfinex: OK")
    #print(bitfinex_json)
    return bitfinex_json
  else:
    print(f"Error fetching data from Bitfinex API: {response.status_code}")
    return empty_json

def fetch_gemini():
## Gemini
  response = requests.get("https://api.gemini.com/v2/candles/btcusd/5m")
  
  if response.status_code == 200:  # check if the request was successful
    gemini_ohlc = response.json()
    candle_stick_data = {
        'exchange': 'gemini',
        'timestamp': gemini_ohlc[0][0],
        'open': gemini_ohlc[0][1],
        'high': gemini_ohlc[0][2],
        'low': gemini_ohlc[0][3],
        'close': gemini_ohlc[0][4],
        'volume_quote': 0,  # not provided by Gemini API
        'volume_base': gemini_ohlc[0][5],
        'trades': 0,  # not provided by Gemini API
    }
    gemini_json = json.dumps(candle_stick_data, indent=2)
    #print("Gemini: OK")
    #print(gemini_json)
    return gemini_json
  else:
    print(f"Error fetching data from Gemini API: {response.status_code}")
    return empty_json

def write_dict_to_database(in_dict, connection):
  cursor = connection.cursor()
  # Use placeholders for the values in the INSERT statement
  insert_query = "INSERT INTO ohlc (exchange, timestamp, open, high, low, close, volume_quote, volume_base, trades) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)"

  values = (in_dict['exchange'], 
            in_dict['timestamp'], 
            in_dict['open'], 
            in_dict['high'], 
            in_dict['low'], 
            in_dict['close'], 
            in_dict['volume_quote'], 
            in_dict['volume_base'], 
            in_dict['trades'])
  ## apply lock while writing to database
  with database_lock:
    cursor.execute(insert_query, values)
    connection.commit()

def get_the_data():
  #cursor = db.cursor()
  while True: 
    db = sqlite3.connect(database)
    write_dict_to_database(json.loads(fetch_kraken()), db)
    write_dict_to_database(json.loads(fetch_bitfinex()), db)
    write_dict_to_database(json.loads(fetch_bitstamp()), db)
    write_dict_to_database(json.loads(fetch_gemini()), db)
    db.close()
    print("fetches done at", time.time(), "sleeping now for 290")
    time.sleep(290)
 
@app.route('/')
def get_data():
  # Get the time (t) argument from the url"
  query_timestamp = request.args.get('t')
  query_pretty = request.args.get('pretty')
  
  database_lock.acquire() 
  db = sqlite3.connect(database)
  if query_timestamp:
    rows = db.execute("SELECT exchange, timestamp, open, high, low, close FROM ohlc WHERE timestamp > ?", (query_timestamp,)).fetchall()
  else:
    rows = db.execute('SELECT exchange, timestamp, open, high, low, close FROM ohlc').fetchall()
    query_timestamp = 0

  database_lock.release()
  data = { 
          "timestamp": time.time(),
          "rows": rows 
          }

  if query_pretty:
      response = json.dumps(data, indent=2, separators=(';\n', ' :'))
  else:
    response = json.dumps(data)
  
  return response, 200, {'Content-Type': 'application/json'}

if __name__ == '__main__':
  # Make sanity checks for the database
  Checkthedatabase()

  # Start the data fetching backend process
  fetch_thread = threading.Thread(target=get_the_data)
  fetch_thread.daemon = True
  fetch_thread.start()
  
  # Start the Flask app
  app.run()