{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import timeit\n",
    "import re\n",
    "\n",
    "TRIALS = 10000\n",
    "data = []\n",
    "\n",
    "def benchmark(name, func):\n",
    "    elapsed_time = timeit.timeit(func, number=TRIALS)\n",
    "    data.append([name, elapsed_time, TRIALS])\n",
    "    \n",
    "PATHS = [\n",
    "    \"500\",\n",
    "    \"200\"\n",
    "]\n",
    "\n",
    "MATCH = re.compile(\"^.* /api/v1/^(monitor/ping)\")\n",
    "def regex():\n",
    "    matched_routes = []\n",
    "    for p in PATHS:\n",
    "        if MATCH.match(p):\n",
    "            matched_routes.append(p)\n",
    "        \n",
    "    \n",
    "    \n",
    "PREFIXES = [\"/api/v1/\"]\n",
    "EXCLUDES = [\"/api/v1/monitor/ping\"]\n",
    "def prefix_match():\n",
    "    matched_routes = []\n",
    "    for p in PATHS:\n",
    "        \n",
    "        # check includes\n",
    "        method, route = p.split(\" \", 1)\n",
    "        for prefix in PREFIXES:\n",
    "            if route.startswith(prefix):\n",
    "                match = True\n",
    "                break\n",
    "        if not match:\n",
    "            continue\n",
    "            \n",
    "        # check excludes\n",
    "        exclude_match = False\n",
    "        for exclude in EXCLUDES:\n",
    "            if route.startswith(exclude):\n",
    "                exclude_match = True\n",
    "                break\n",
    "        if exclude_match:\n",
    "            continue\n",
    "            \n",
    "        matched_routes.append(p)\n",
    "    \n",
    "    \n",
    "benchmark(\"regex\", regex)\n",
    "benchmark(\"prefix_match\", prefix_match)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "technique       execution_time (seconds)    iterations\n",
      "------------  --------------------------  ------------\n",
      "regex                          0.0082572         10000\n",
      "prefix_match                   0.0196216         10000\n"
     ]
    }
   ],
   "source": [
    "import pprint\n",
    "\n",
    "from tabulate import tabulate\n",
    "headers = [\"technique\", \"execution_time (seconds)\", \"iterations\"]\n",
    "table_data = [headers]\n",
    "table_data += sorted(data, key=lambda row: row[1])\n",
    "print(tabulate(table_data, headers=\"firstrow\"))"
   ]
  }
 ],
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   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
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 },
 "nbformat": 4,
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