From 74592dcb05806e0d24a824aeab0fd10b9cd50ccb Mon Sep 17 00:00:00 2001 From: Dennis Potter Date: Wed, 1 Aug 2018 00:26:12 +0200 Subject: [PATCH] Added checks to see how many samples got lost at send side This check does not yet make sense. There must be a way to see how many samples got lost at the send side, and how many got lost during communication. --- tests/benchmarks/evaluate_logs.ipynb | 126 +++++++++++++++++++-------- 1 file changed, 90 insertions(+), 36 deletions(-) diff --git a/tests/benchmarks/evaluate_logs.ipynb b/tests/benchmarks/evaluate_logs.ipynb index f0dde0f88..7e6390723 100644 --- a/tests/benchmarks/evaluate_logs.ipynb +++ b/tests/benchmarks/evaluate_logs.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 155, "metadata": { "collapsed": true }, @@ -17,7 +17,7 @@ "source": [ "# Settings\n", "root_dir = '/home/dennis/VILLASnode/tests/benchmarks'\n", - "benchmark_dir = 'benchmarks_20180731_16-22-41'" + "benchmark_dir = 'benchmarks_20180801_00-11-11'" ] }, { @@ -25,12 +25,16 @@ "metadata": {}, "source": [ "## Load all files\n", - "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua." + "### Results\n", + "...\n", + "\n", + "### Source log\n", + "..." ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 156, "metadata": { "collapsed": false }, @@ -39,27 +43,36 @@ "name": "stdout", "output_type": "stream", "text": [ - "Loaded /home/dennis/VILLASnode/tests/benchmarks/benchmarks_20180731_16-22-41/0_TCP-3-100000-3000000.csv\n" + "Loaded /home/dennis/VILLASnode/tests/benchmarks/benchmarks_20180801_00-11-11/0_TCP-3-100000-1000000.csv\n" ] } ], "source": [ "import numpy as np\n", "import os\n", + "import re\n", + "\n", + "# First, source log\n", "\n", "# Initialize arrays\n", "result_files = []\n", "result_paths = []\n", + "log_paths = []\n", "result_array = []\n", "\n", "# Save complete path of files in an array\n", "for subdir, dirs, files in os.walk(root_dir+'/'+benchmark_dir):\n", " for file in files:\n", - " result_paths.append(os.path.join(subdir, file))\n", + " # Regex to match .csv files\n", + " if re.match(r'.*?csv', file, re.M|re.I):\n", + " result_paths.append(os.path.join(subdir, file))\n", + " # Regex to match .log files\n", + " elif re.match(r'.*?log', file, re.M|re.I):\n", + " log_paths.append(os.path.join(subdir, file))\n", " \n", " result_files = files\n", "\n", - "# Loop through array with files and save the comma separated data into a new array\n", + "# Loop through array with result files and save the comma separated data into a new array\n", "for file in result_paths:\n", " print(\"Loaded {}\".format(file))\n", " \n", @@ -89,28 +102,80 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 157, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "import re\n", - "\n", "# Array with settings\n", "settings_array = []\n", "\n", "for file in result_files:\n", " settings = []\n", " \n", - " matchObj = re.match( r'(\\d*)_(\\w*)-(\\d*)-(\\d*)-(\\d*).csv', file, re.M|re.I)\n", + " matchObj = re.match(r'(\\d*)_(\\w*)-(\\d*)-(\\d*)-(\\d*).csv', file, re.M|re.I)\n", "\n", " # Fill values to array\n", - " for i in range(0,5):\n", - " settings.append(matchObj.group(i+1))\n", + " if matchObj:\n", + " for i in range(0,5):\n", + " settings.append(matchObj.group(i+1))\n", " \n", - " # Append array to big array\n", - " settings_array.append(settings)" + " # Append array to big array\n", + " settings_array.append(settings)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Get missed steps from source node\n", + "..." + ] + }, + { + "cell_type": "code", + "execution_count": 161, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "540\n" + ] + } + ], + "source": [ + "missing_send_arr = []\n", + "\n", + "# This line indicates if we passed the \"node connected\" line. Only after this line\n", + "# the script will start counting missed steps\n", + "connected = False\n", + "\n", + "for i, file in enumerate(log_paths):\n", + " F = open(file, \"r\")\n", + " line = F.readline()\n", + "\n", + " missing_send_arr.append(0)\n", + "\n", + " # Loop through file\n", + " while line:\n", + " #if re.match(r'.*Connection established in node', line):\n", + " connected = True\n", + " \n", + " if connected:\n", + " #matchObj = re.match(r'.*Missed steps: (\\d*)', line, re.M|re.I)\n", + " matchObj = re.match(r'.*written=0, expected=(\\d*)', line, re.M|re.I)\n", + " \n", + " if matchObj:\n", + " missing_send_arr[i] += int(matchObj.group(1))\n", + " \n", + " line = F.readline()\n", + " \n", + " print(missing_send_arr[i])" ] }, { @@ -127,7 +192,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 162, "metadata": { "collapsed": false }, @@ -136,7 +201,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Test 0 missed 68 (0.002%) of 2995948 (3000000 before correction) samples\n" + "Test 0 missed 68 (0.011%) of 995605 (1000000 before correction) samples\n" ] } ], @@ -146,7 +211,7 @@ "# Real total number of sent messages, after subtraction of first sequence\n", "real_total_arr = []\n", "# Number of missing samples after first sample\n", - "number_miss_arr = []\n", + "missing_recv_arr = []\n", "# Percentage of missed samples\n", "perc_miss_arr = []\n", "\n", @@ -158,14 +223,14 @@ " # Real total number = total number - start_seqquence\n", " # Number missing = real total number - length of data arary\n", " real_total = int(settings_array[i][4]) - int(start_sequence[i])\n", - " number_miss = real_total - len(csv_vec)\n", - " perc_miss = round(number_miss / real_total * 100, 3)\n", + " missing_recv = real_total - len(csv_vec)\n", + " perc_miss = round(missing_recv / real_total * 100, 3)\n", " \n", " print(\"Test {} missed {} ({}%) of {} ({} before correction) samples\"\n", " .format(i, number_miss, perc_miss, real_total, settings_array[i][4]))\n", " \n", " real_total_arr.append(real_total)\n", - " number_miss_arr.append(number_miss)\n", + " missing_recv_arr.append(number_miss)\n", " perc_miss_arr.append(perc_miss)" ] }, @@ -181,22 +246,11 @@ }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 107, "metadata": { "collapsed": false }, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "from matplotlib.font_manager import FontProperties\n", @@ -256,8 +310,8 @@ " \n", " # Create text for missed steps\n", " #ToDo: Add percentage\n", - " missed_text = 'missed by villas-pipe: {0: <23}\\n'.format(number_miss_arr[i])\n", - " missed_text += 'missed by villas-node: {0: <23}'.format(number_miss_arr[i] - number_miss_arr[i])\n", + " missed_text = 'missed by villas-pipe: {0: <23}\\n'.format(missing_recv_arr[i])\n", + " missed_text += 'missed by villas-node: {0: <23}'.format(0)\n", " \n", " # bbox accepts FancyBboxPatch prop dict\n", " font_header = FontProperties()\n",