Cropping orders by timestamp from Redis RDB dump

Cropping orders by timestamp from Redis RDB dump.ipynb

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   "cell_type": "markdown",
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   "source": [
    "# Cropping orders from Redis DB dump\n",
    "\n",
    "## First, dump the data\n",
    "use [redis-dump](https://github.com/delano/redis-dump):\n",
    "\n",
    "    $ redis-dump > db_full.json\n",
    "\n",
    "## Then, use python to select specific timestamps:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "with open('/tmp/rdb/db_full.json') as f:\n",
    "    records = json.load(f)\n",
    "    d = records[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "149318"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'binance_bat_eth_1518224660000'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "next(iter(d))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def key_in_range(key, begin, end):\n",
    "    timestamp = int(key.split('_')[-1])\n",
    "    return timestamp in range(begin, end)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "dd = {\n",
    "    key: value\n",
    "    for key, value in d.items()\n",
    "    if key_in_range(key, 1518233090000, 1518233100001)\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "160"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(dd)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('/tmp/rdb/relevant_orders.json', 'w') as f:\n",
    "    json.dump(dd, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total 1866576\r\n",
      "-rw-r--r--  1 amit  wheel     524217 May 28 16:02 Untitled.ipynb\r\n",
      "-rw-r--r--  1 amit  wheel  954635077 May 28 15:39 db_full.json\r\n",
      "-rw-r--r--  1 amit  wheel     520511 May 28 16:03 relevant_orders.json\r\n",
      "drwxr-xr-x  7 amit  wheel        224 May 28 15:38 \u001b[34mvenv\u001b[m\u001b[m/\r\n"
     ]
    }
   ],
   "source": [
    "ls -l /tmp/rdb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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