example/example.ipynb

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   "cells": [
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Step 0: Necessary imports and paths"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "First we import all of the modules we'll need for the analysis, and hardcode in some database information as well as pointers to the data and scripts."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Modules used in the analysis:\n",
      "import collections\n",
      "import IPython.display\n",
      "import lupe.clustering.run\n",
      "import lupe.statemachines.compute\n",
      "import lupe.statemachines.paths\n",
      "import lupe.transformations.barchart\n",
      "import numpy\n",
      "import subprocess\n",
      "import matplotlib.pyplot as plt\n",
      "import queryutils.databases\n",
      "import queryutils.files\n",
      "import queryutils.parse\n",
      "import queryutils.versions\n",
      "%matplotlib inline\n",
      "\n",
      "# Hardcoded information:\n",
      "USER = DATABASE = PASSWORD = \"lupe_example\" # Database parameters.\n",
      "SPLUNK_QUERIES_DIR = \"data\" # Pointer to the example query data.\n",
      "INIT_SCRIPT = \"init_database.sh\" # Script to set up the database."
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 31
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The red highlighted output above is information that is logged (in `queryutils.log` or `lupe.log`). You can ignore the message about the missing Levenshtein module."
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Step 1: Initialize the database"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Next we set up the database to store the query data. The following lines first call a script to initialize a database with the hardcoded database parameters above, then creates a database object that we'll use to interact with the database, and then initializes the tables we'll store the data in."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Create the Postgres user and database.\n",
      "subprocess.call([INIT_SCRIPT, USER, DATABASE, PASSWORD])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 32,
       "text": [
        "0"
       ]
      }
     ],
     "prompt_number": 32
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Grab a pointer to the database.\n",
      "db = queryutils.databases.PostgresDB(USER, DATABASE, PASSWORD)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Initialized data source.\n"
       ]
      }
     ],
     "prompt_number": 33
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "# Initialize the tables to store the queries.\n",
      "db.initialize_tables()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Executing \n",
        "BEGIN TRANSACTION;\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Executing \n",
        "SET CONSTRAINTS ALL DEFERRED;\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Executing \n",
        "DROP TABLE IF EXISTS users CASCADE;\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Executing \n",
        "CREATE TABLE users (\n",
        "            id SERIAL PRIMARY KEY, \n",
        "            name TEXT,\n",
        "            case_id TEXT,\n",
        "            user_type TEXT\n",
        "        );\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Executing \n",
        "COMMIT;\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Executing \n",
        "BEGIN TRANSACTION;\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Executing \n",
        "SET CONSTRAINTS ALL DEFERRED;\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Executing \n",
        "DROP TABLE IF EXISTS sessions CASCADE;\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Executing \n",
        "CREATE TABLE sessions (\n",
        "            id SERIAL PRIMARY KEY,\n",
        "            user_id INTEGER, -- REFERENCES users(id),\n",
        "            session_type TEXT,\n",
        "            CONSTRAINT owner FOREIGN KEY (user_id) REFERENCES users(id) DEFERRABLE INITIALLY IMMEDIATE\n",
        "        );\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Executing \n",
        "COMMIT;\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Executing \n",
        "BEGIN TRANSACTION;\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Executing \n",
        "SET CONSTRAINTS ALL DEFERRED;\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Executing \n",
        "DROP TABLE IF EXISTS queries CASCADE;\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Executing \n",
        "CREATE TABLE queries (\n",
        "            id SERIAL PRIMARY KEY,\n",
        "            text TEXT NOT NULL,\n",
        "            time DOUBLE PRECISION,\n",
        "            is_interactive BOOLEAN,\n",
        "            is_suspicious BOOLEAN,\n",
        "            execution_time DOUBLE PRECISION,\n",
        "            earliest_event DOUBLE PRECISION,\n",
        "            latest_event DOUBLE PRECISION,\n",
        "            range DOUBLE PRECISION,\n",
        "            is_realtime BOOLEAN,\n",
        "            search_type TEXT,\n",
        "            splunk_search_id TEXT,\n",
        "            saved_search_name TEXT,\n",
        "            user_id INTEGER, -- REFERENCES users(id),\n",
        "            session_id INTEGER, -- REFERENCES sessions(id),\n",
        "            CONSTRAINT issuing_user FOREIGN KEY (user_id) REFERENCES users(id) DEFERRABLE INITIALLY IMMEDIATE,\n",
        "            CONSTRAINT containing_session FOREIGN KEY (session_id) REFERENCES sessions(id) DEFERRABLE INITIALLY IMMEDIATE\n",
        "        );\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Executing \n",
        "COMMIT;\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Executing \n",
        "BEGIN TRANSACTION;\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Executing \n",
        "SET CONSTRAINTS ALL DEFERRED;\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Executing \n",
        "DROP TABLE IF EXISTS parsetrees;\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Executing \n",
        "CREATE TABLE parsetrees (\n",
        "            id SERIAL PRIMARY KEY,\n",
        "            parsetree TEXT NOT NULL,\n",
        "            query_id INTEGER REFERENCES queries(id),\n",
        "            CONSTRAINT query FOREIGN KEY (query_id) REFERENCES queries(id)\n",
        "        );\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Executing \n",
        "COMMIT;\n"
       ]
      }
     ],
     "prompt_number": 34
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Step 2: Populate the database."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The next two lines load the query data from the .csv files in the `data/` directory into the database. The first line adds data to the users and queries tables. The next line parses as many queries as it can and adds the parsed queries to the parsetrees table. We do this to speed access to the data, as reading from files and parsing the queries are slow. Not all queries will successfull parse. You can ignore these errors."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Load the example data set.\n",
      "db.load_users_and_queries_from_source(queryutils.files.CSVFiles, SPLUNK_QUERIES_DIR, queryutils.versions.Version.FORMAT_2014)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Initialized data source.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Reading from file:/Users/boss/lupe/lupe/example/data/ciscofirewall-app-searches.csv\n"
       ]
      },
      {
       "output_type": "stream",
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        "DEBUG:queryutils:Reading from file:/Users/boss/lupe/lupe/example/data/splunkmonitoring-app-searches.csv\n"
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       "text": [
        "DEBUG:queryutils:Successfully read query.\n"
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       "text": [
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        "DEBUG:queryutils:Loading user.\n"
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        "DEBUG:queryutils:Loading query.\n"
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      },
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        "DEBUG:queryutils:Loading query.\n"
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       "output_type": "stream",
       "stream": "stderr",
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        "DEBUG:queryutils:Loading query.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading query.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading query.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading query.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading query.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading query.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading query.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading query.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading query.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading query.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading query.\n"
       ]
      }
     ],
     "prompt_number": 35
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Load the parsed queries (because parsing is somewhat slow).\n",
      "db.load_parsed() # Expect some parsing errors."
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] source=\"Pageview*\"| top uri\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"Pageview*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] source=\"Assets documents*\" | top uri_path\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"Assets documents*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] source=\"Assets media*\" | top uri_path\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"Assets media*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\") ] source=\"User session nonsingle eventcount*\"| makemv timeandduration | mvexpand timeandduration | eval _time=tonumber(substr(timeandduration,1,10)) | eval duration = tonumber(substr(timeandduration,12))/60 | timechart  perc25(duration) as \"25th Percentile\", median(duration) as \"Median\", perc75(duration) as \"75th Percentile\"\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"User session nonsingle eventcount*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] source=\"Referer phrases*\" | top q\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"Referer phrases*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] source=\"Referer phrases*\" | rex field=q max_match=20 \"(?<keywords>\\w+)\" | top limit=100 keywords | lookup stopwords keywords | fillnull alwaysone | search alwaysone=0 | sort limit=10 - count | fields - alwaysone\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"Referer phrases*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\") ] source=\"User session visitor source*\" | eval eventcount = myeventcount | eval user_type=case(eventcount=1, \"bounce\", eventcount<=5, \"2-5 pages\", eventcount<=10,\"6-10 pages\", eventcount>10, \">10 pages\") | stats count by user_type\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"User session visitor source*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] source=\"Organic brand*\"| top q\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"Organic brand*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] source=\"Organic nonbrand*\"| top q\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"Organic nonbrand*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] source=\"Brand*\" | timechart limit=5 sum(mycount) BY q | fields - OTHER\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"Brand*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] source=\"Referer category*\" | eval eventtype = myeventtype | top eventtype\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"Referer category*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] source=\"Referer breakdown*\" | eval eventtype = myeventtype | top referer_domain BY eventtype\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"Referer breakdown*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] source=\"User session browser stats*\"| makemv uniqip | top browser\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"User session browser stats*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] source=\"User session mobile stats*\"| makemv uniqip | top platform\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"User session mobile stats*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] source=\"User session handheld count*\" | makemv myips | stats dc(myips) as count by ismobile\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"User session handheld count*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] source=\"User session demographics*\" | lookup local=true geoip clientip | stats count BY client_country, client_region\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"User session demographics*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\") ] source=\"User session visitor source*\" | timechart eval(sum(myeventcount)) AS pageviews, dc(clientip) AS unique_visitors, eval((sum(myeventcount))/dc(clientip)) AS avg_pageviews\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"User session visitor source*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\") ] source=\"User session visitor source*\" | eval eventcount=myeventcount  | makemv delim=\" \" myeventtypes | eval eventtype=myeventtypes | eval eventtype=mvfilter(match(eventtype, \"visitor\\-type\\-.*\")) | eval eventtype=mvindex(eventtype, 0) |  stats count, avg(myduration) AS avg_duration, avg(eventcount) AS avg_eventcount BY eventtype, _time\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"User session visitor source*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\") ] source=\"User session nonsingle eventcount*\" | makemv landing_page | mvexpand landing_page | top landing_page\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"User session nonsingle eventcount*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\") ] source=\"User session nonsingle eventcount*\" | makemv exit_page | mvexpand exit_page | top exit_page\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"User session nonsingle eventcount*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] source=\"Web Traffic goodstatus*\" | eval status=toString(floor(status/100))+\"xx\"  | stats values(myclientip) as myips sum(hits) as myhits by uri, status | mvexpand myips | stats dc(myips) as \"unique ips\" max(myhits) as \"total count\" by uri, status\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"Web Traffic goodstatus*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] (source=\"Web Traffic goodstatus fivemin summary*\" OR source=\"Web Traffic goodstatus hourly summary*\" OR source=\"Web Traffic goodstatus daily summary*\") | lookup httpstatus status | eval mystatus=status+\"-\"+status_description | timechart sum(hits) BY mystatus\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, '(source=\"Web Traffic goodstatus fivemin summary*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] source=\"Web Traffic badstatus*\" | eval status=toString(floor(status/100))+\"xx\"  | stats values(myclientip) as myips sum(hits) as myhits by uri, status | mvexpand myips | stats dc(myips) as \"unique ips\" max(myhits) as \"total count\" by uri, status\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"Web Traffic badstatus*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] (source=\"Web Traffic badstatus fivemin summary*\" OR source=\"Web Traffic badstatus hourly summary*\" OR source=\"Web Traffic badstatus daily summary*\") | lookup httpstatus status | eval mystatus=status+\"-\"+status_description | timechart sum(hits) BY mystatus\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, '(source=\"Web Traffic badstatus fivemin summary*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] source=\"Web Traffic by host*\" | timechart sum(hits) BY myhost | rename myhost as host\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"Web Traffic by host*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] source=\"Web Traffic by bots*\" | eval bots=substr(bots,8)| timechart sum(hits) by bots\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"Web Traffic by bots*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search earliest=-48h@h latest=now  search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] source=\"Web Traffic badstatus*\" | eval status=toString(floor(status/100))+\"xx\"  | stats values(myclientip) as myips sum(hits) as myhits min(earliest_hit) as first, max(latest_hit) as last by uri, status | mvexpand myips | stats dc(myips) as \"unique ips\" max(myhits) as \"total count\" min(first) as first max(last) as last by uri, status | eval dif=last-first | search dif<86400 \"total count\">10\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"Web Traffic badstatus*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search host=* [ stats count | addinfo | eval range=info_max_time - info_min_time | eval search=if(range<=3605, \"index=wi_summary_fivemin\", if(range<=(86400+3600),\"index=wi_summary_hourly\",\"index=wi_summary_daily\")) ] source=\"User session demographics*\"| stats min(earliestvisit) as firstvisit by clientip | lookup userlistbyclientip.csv clientip OUTPUT firstvisit as earliestvisit | eval firstvisit=if(isnull(earliestvisit),firstvisit,earliestvisit) | addinfo | eval isnew=if(firstvisit>=info_min_time, \"New Visitors\" , \"Returning Visitors\") | stats count by isnew\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 1047, in parseopt_notrack\n",
        "    tok = self.errorfunc(errtoken)\n",
        "  File \"/Users/boss/splparser/splparser/rules/toplevelrules.py\", line 89, in p_error\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: Syntax error in top-level parser input: LexToken(ARGS, 'source=\"User session demographics*\"')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search eventtype=web-traffic-external status>100 status<300 |  lookup sourcenames source | eval sourcename=if(sourcename==\" \" OR isnull(sourcename),source,sourcename) | eval status=toString(floor(status/100))+\"xx\" | stats dc(clientip) as \"unique ips\" count as \"total count\" by uri, status\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in eval parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/evalrules.py: line 23 in p_error: raise SPLSyntaxError(\"Syntax error in eval parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search eventtype=web-traffic-external status>=300 status<600 |  lookup sourcenames source | eval sourcename=if(sourcename==\" \" OR isnull(sourcename),source,sourcename) | eval status=toString(floor(status/100))+\"xx\" | stats dc(clientip) as \"unique ips\" count as \"total count\" by uri, status\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in eval parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/evalrules.py: line 23 in p_error: raise SPLSyntaxError(\"Syntax error in eval parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search eventtype=\"web-traffic-external\" status=\"4*\" OR status=\"5*\" OR status=\"3*\" |  lookup sourcenames source | eval sourcename=if(sourcename==\" \" OR isnull(sourcename),source,sourcename) | eval status=toString(floor(status/100))+\"xx\"| stats dc(clientip) as \"unique ips\" count as \"total count\", min(_time) as first, max(_time) as last BY uri, status | eval dif=last-first | search dif<86400 \"total count\">10\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in eval parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/evalrules.py: line 23 in p_error: raise SPLSyntaxError(\"Syntax error in eval parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search eventtype=pageview eventtype=ua-browser-* eventtype=search-referer (q=* OR p=*) |  lookup sourcenames source | eval sourcename=if(sourcename==\" \" OR isnull(sourcename),source,sourcename)  | eval q=if(isnull(q) AND isnotnull(p), p, q) | eval q=trim(lower(urldecode(q))) | rex field=q max_match=20 \"(?<keywords>\\w+)\" | top limit=100 keywords | lookup stopwords keywords | fillnull alwaysone | search alwaysone=0 | sort limit=10 - count | fields - alwaysone\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: (\"Illegal character in search lexer '='\", ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 921 in parseopt_notrack: lookahead = get_token()     # Get the next token; /usr/local/lib/python2.7/site-packages/ply/lex.py: line 384 in token: newtok = self.lexerrorf(tok); /Users/boss/splparser/splparser/lexers/sortlexer.py: line 121 in t_error: raise SPLSyntaxError(\"Illegal character in search lexer \\'%s\\'\" % badchar);')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=\"os\" sourcetype=\"cpu\" host=$host$ | multikv fields, pctUser, pctNice, pctSystem, pctIowait, pctIdle | eval pctNice=if(isnull(pctNice), 0, pctNice) | timechart avg(pctUser), avg(pctNice), avg(pctSystem), avg(pctIowait), avg(pctIdle)\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os source=ps | multikv | timechart avg(pctCPU) by USER useother=F limit=10\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os source=ps | multikv | timechart sum(CPUTIME) by USER where sum > 0\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os source=lsof | multikv | search FD=txt TYPE=REG AND NOT (COMMAND=lsof OR COMMAND=lsof.sh OR COMMAND=iostat OR COMMAND=iostat.sh OR COMMAND=sar OR COMMAND=awk OR COMMAND=tee) | timechart count by COMMAND useother=F limit=10\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os source=ps host=$host$ | multikv fields RSZ_KB, USER, COMMAND | eval RSZ_MB=RSZ_KB/1024 | stats max(RSZ_MB) by USER, COMMAND| sort -max(RSZ_MB)\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in sort parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/sortrules.py: line 79 in p_error: raise SPLSyntaxError(\"Syntax error in sort parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os sourcetype=openPorts | MULTIKV | STATS count BY Port | SORT count\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os sourcetype=openPorts host=$host$ | HEAD LIMIT=1 | MULTIKV FIELDS Proto, Port | EVAL PortOverProto = case(Port == \"8089\", \"Splunk Management Port\", Port == \"8000\", \"Splunk HTTP Port\", Port == \"21\", \"ftp\", Port == \"22\", \"ssh\", Port == \"23\", \"telnet\", Port == \"25\", \"smtp\", Port == \"69\", \"tftp\", Port == \"79\", \"finger\", Port == \"80\", \"http\", Port == \"88\", \"kerberos\", Port == \"143\", \"imap\", Port == \"161\", \"snmp\", Port == \"162\", \"snmptrap\", Port == \"179\", \"bgp\", Port == \"1521\", \"SQL*Net\", 1==1, Port.\" / \".Proto) | CHART count BY PortOverProto | SORT count DESC | RENAME count AS \"# of Connections Accepted\"\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in head parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/headrules.py: line 91 in p_error: raise SPLSyntaxError(\"Syntax error in head parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os sourcetype=netstat host=$host$ | HEAD LIMIT=1 | MULTIKV FIELDS ForeignAddress | REX FIELD=ForeignAddress \"(?<hostOnly>^.*)[:\\.].+$\" | FIELDS + hostOnly | WHERE hostOnly != \"*\" | RENAME hostOnly AS Address | CHART count BY Address | SORT count DESC | RENAME count AS \"# of Connections to This Address\"\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in head parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/headrules.py: line 91 in p_error: raise SPLSyntaxError(\"Syntax error in head parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os sourcetype=netstat host=$host$ | MULTIKV FIELDS State | SEARCH NOT (State=\"<n/a>\") | TIMECHART count BY State\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os source=ps | multikv | timechart avg(VSZ_KB) by USER useother=F limit=10\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=\"os\" sourcetype=ps | multikv | timechart avg(RSZ_KB) by COMMAND | rename avg(RSZ_KB) as ResidentSize(kb)\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=\"os\" sourcetype=ps | multikv | timechart avg(VSZ_KB) by COMMAND | rename avg(VSZ_KB) as ResidentSize(kb)\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: | metadata type=sources index=os | typer | search eventtype=nix-all-logs\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 33, in helper\n",
        "    raise NotImplementedError(cmd + \" is not yet implemented.\")\n",
        "NotImplementedError: typer is not yet implemented.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: | metadata type=sources index=os | typer |search eventtype=nix_configs\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 33, in helper\n",
        "    raise NotImplementedError(cmd + \" is not yet implemented.\")\n",
        "NotImplementedError: typer is not yet implemented.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os source=ps | multikv | timechart avg(RSZ_KB) by COMMAND\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os source=top | multikv | timechart avg(pctCPU) by COMMAND\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os source=iostat | multikv | timechart avg(rReq_PS) avg(wReq_PS)\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os source=iostat | multikv | timechart avg(wReq_PS) by host\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os source=lsof | multikv | timechart count(USER) by USER\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os source=netstat | multikv | timechart count(Proto) by Proto\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os source=netstat | multikv | timechart count(Type) by Type\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os source=ps | multikv | timechart avg(pctCPU) by COMMAND\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os source=ps | multikv | chart avg(RSZ_KB) by USER\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os source=ps | multikv |  timechart avg(RSZ_KB) by COMMAND\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os source=top | multikv | timechart avg(pctCPU) by host\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os source=top | multikv | timechart avg(RSZ_KB) by COMMAND\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os source=vmstat | multikv | timechart avg(memFreeMB) by host\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=os source=vmstat | multikv | timechart avg(memTotalMB) by host\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in multikv parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/multikvrules.py: line 74 in p_error: raise SPLSyntaxError(\"Syntax error in multikv parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=\"summary_forwarders\" | eval _time = _time + 1800 | stats first(sourceIp) as sourceIp first(connectionType) as connectionType first(sourcePort) as sourcePort first(build) as build first(version) as version first(os) as os first(arch) as arch max(lastConnected) as lastConnected max(lastReceived) as lastReceived sum(kb) as KB first(avg_eps) as eps by sourceHost guid | join type=outer guid [search earliest=-30m latest=now  search index=\"_internal\" source=\"*metrics.log\" group=tcpin_connections | eval sourceHost=if(isnull(hostname), sourceHost,hostname) | eval connectionType=case(fwdType==\"uf\",\"Universal Forwarder\", fwdType==\"lwf\", \"Light Weight Forwarder\",fwdType==\"full\", \"Splunk Indexed\", connectionType==\"cooked\" or connectionType==\"cookedSSL\",\"Splunk Forwarder\", connectionType==\"raw\" or connectionType==\"rawSSL\",\"Legacy Forwarder\")| eval build=if(isnull(build),\"n/a\",build) | eval version=if(isnull(version),\"pre 4.2\",version) | eval guid=if(isnull(guid),sourceHost,guid) | eval os=if(isnull(os),\"n/a\",os)| eval arch=if(isnull(arch),\"n/a\",arch) | eval my_splunk_server = splunk_server | fields connectionType sourceIp sourceHost sourcePort destPort kb tcp_eps tcp_Kprocessed tcp_KBps my_splunk_server build version os arch guid | eval lastReceived = if(kb>0, _time, null) | stats first(sourceIp) as sourceIp first(connectionType) as connectionType first(sourcePort) as sourcePort first(build) as build first(version) as version first(os) as os first(arch) as arch  max(_time) as lastConnected1 max(lastReceived) as lastReceived1 sum(kb) as kb by sourceHost guid | addinfo | eval mystatus = if(lastConnected>(lastReceived+300) or kb==0,\"quiet\",\"dunno\") ] | eval lastConnected=if(lastConnected1>lastConnected, lastConnected1, lastConnected) | eval lastReceived=if(lastReceived1>lastReceived, lastReceived1, lastReceived) |  addinfo | eval status = if(isnull(KB) or lastConnected<(info_max_time-900),\"missing\",if(mystatus=\"quiet\",\"quiet\",\"active\")) | convert ctime(lastConnected) ctime(lastReceived) ctime(info_max_time)\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in eval parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/evalrules.py: line 23 in p_error: raise SPLSyntaxError(\"Syntax error in eval parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=\"summary_forwarders\" | eval _time = _time + 1800 | stats first(sourceIp) as sourceIp first(connectionType) as connectionType first(sourcePort) as sourcePort first(build) as build first(version) as version first(os) as os first(arch) as arch max(lastConnected) as lastConnected max(lastReceived) as lastReceived sum(kb) as KB first(avg_eps) as eps by sourceHost guid | join type=outer guid [search earliest=-30m latest=now  search index=\"_internal\" source=\"*metrics.log\" group=tcpin_connections | eval sourceHost=if(isnull(hostname), sourceHost,hostname) | eval connectionType=case(fwdType==\"uf\",\"Universal Forwarder\", fwdType==\"lwf\", \"Light Weight Forwarder\",fwdType==\"full\", \"Splunk Indexed\", connectionType==\"cooked\" or connectionType==\"cookedSSL\",\"Splunk Forwarder\", connectionType==\"raw\" or connectionType==\"rawSSL\",\"Legacy Forwarder\")| eval build=if(isnull(build),\"n/a\",build) | eval version=if(isnull(version),\"pre 4.2\",version) | eval guid=if(isnull(guid),sourceHost,guid) | eval os=if(isnull(os),\"n/a\",os)| eval arch=if(isnull(arch),\"n/a\",arch) | eval my_splunk_server = splunk_server | fields connectionType sourceIp sourceHost sourcePort destPort kb tcp_eps tcp_Kprocessed tcp_KBps my_splunk_server build version os arch guid | eval lastReceived = if(kb>0, _time, null) | stats first(sourceIp) as sourceIp first(connectionType) as connectionType first(sourcePort) as sourcePort first(build) as build first(version) as version first(os) as os first(arch) as arch  max(_time) as lastConnected1 max(lastReceived) as lastReceived1 sum(kb) as kb by sourceHost guid | addinfo | eval mystatus = if(lastConnected>(lastReceived+300) or kb==0,\"quiet\",\"dunno\") ] | eval lastConnected=if(lastConnected1>lastConnected, lastConnected1, lastConnected) | eval lastReceived=if(lastReceived1>lastReceived, lastReceived1, lastReceived) |  addinfo | eval status = if(isnull(KB) or lastConnected<(info_max_time-900),\"missing\",if(mystatus=\"quiet\",\"quiet\",\"active\")) | convert ctime(lastConnected) ctime(lastReceived) ctime(info_max_time) | search status=\"missing\" | sort - lastConnected | fields sourceHost sourceIp connectionType lastConnected status | rename sourceHost as \"Forwarder\" sourceIp as \"Source IP\" connectionType as \"Forwarder Type\" lastConnected as \"Last Connected\" status as \"Current Status\"  | fieldformat \"Last Connected\"=strftime('Last Connected', \"%D %H:%M:%S %p\")\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in eval parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/evalrules.py: line 23 in p_error: raise SPLSyntaxError(\"Syntax error in eval parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=\"summary_forwarders\" | eval _time = _time + 1800 | stats first(sourceIp) as sourceIp first(connectionType) as connectionType first(sourcePort) as sourcePort first(build) as build first(version) as version first(os) as os first(arch) as arch max(lastConnected) as lastConnected max(lastReceived) as lastReceived sum(kb) as KB first(avg_eps) as eps by sourceHost guid | join type=outer guid [search earliest=-30m latest=now  search index=\"_internal\" source=\"*metrics.log\" group=tcpin_connections | eval sourceHost=if(isnull(hostname), sourceHost,hostname) | eval connectionType=case(fwdType==\"uf\",\"Universal Forwarder\", fwdType==\"lwf\", \"Light Weight Forwarder\",fwdType==\"full\", \"Splunk Indexed\", connectionType==\"cooked\" or connectionType==\"cookedSSL\",\"Splunk Forwarder\", connectionType==\"raw\" or connectionType==\"rawSSL\",\"Legacy Forwarder\")| eval build=if(isnull(build),\"n/a\",build) | eval version=if(isnull(version),\"pre 4.2\",version) | eval guid=if(isnull(guid),sourceHost,guid) | eval os=if(isnull(os),\"n/a\",os)| eval arch=if(isnull(arch),\"n/a\",arch) | eval my_splunk_server = splunk_server | fields connectionType sourceIp sourceHost sourcePort destPort kb tcp_eps tcp_Kprocessed tcp_KBps my_splunk_server build version os arch guid | eval lastReceived = if(kb>0, _time, null) | stats first(sourceIp) as sourceIp first(connectionType) as connectionType first(sourcePort) as sourcePort first(build) as build first(version) as version first(os) as os first(arch) as arch  max(_time) as lastConnected1 max(lastReceived) as lastReceived1 sum(kb) as kb by sourceHost guid | addinfo | eval mystatus = if(lastConnected>(lastReceived+300) or kb==0,\"quiet\",\"dunno\") ] | eval lastConnected=if(lastConnected1>lastConnected, lastConnected1, lastConnected) | eval lastReceived=if(lastReceived1>lastReceived, lastReceived1, lastReceived) |  addinfo | eval status = if(isnull(KB) or lastConnected<(info_max_time-900),\"missing\",if(mystatus=\"quiet\",\"quiet\",\"active\")) | convert ctime(lastConnected) ctime(lastReceived) ctime(info_max_time) | search status=\"quiet\" | sort - lastReceived | eval eps = round(eps,4) | fields sourceHost sourceIp connectionType lastConnected lastReceived KB eps status | rename sourceHost as \"Forwarder\" sourceIp as \"Source IP\" connectionType as \"Forwarder Type\" lastConnected as \"Last Connected\" lastReceived as \"Last Data Received\" KB as \"Total KB\" eps as \"Average Events Per Second\" status as \"Current Status\"  | fieldformat \"Last Connected\"=strftime('Last Connected', \"%D %H:%M:%S %p\")  | fieldformat \"Last Data Received\"=strftime('Last Data Received', \"%D %H:%M:%S %p\")\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in eval parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/evalrules.py: line 23 in p_error: raise SPLSyntaxError(\"Syntax error in eval parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=\"_internal\" source=\"*metrics.log\" group=tcpin_connections | eval sourceHost=if(isnull(hostname), sourceHost,hostname) | eval connectionType=case(fwdType==\"uf\",\"Universal Forwarder\", fwdType==\"lwf\", \"Light Weight Forwarder\",fwdType==\"full\", \"Splunk Indexed\", connectionType==\"cooked\" or connectionType==\"cookedSSL\",\"Splunk Forwarder\", connectionType==\"raw\" or connectionType==\"rawSSL\",\"Legacy Forwarder\")| eval build=if(isnull(build),\"n/a\",build) | eval version=if(isnull(version),\"pre 4.2\",version) | eval guid=if(isnull(guid),sourceHost,guid) | eval os=if(isnull(os),\"n/a\",os)| eval arch=if(isnull(arch),\"n/a\",arch) | eval my_splunk_server = splunk_server | fields connectionType sourceIp sourceHost sourcePort destPort kb tcp_eps tcp_Kprocessed tcp_KBps my_splunk_server build version os arch guid |  stats values(sourceHost) as sourceHost values(connectionType) as connectionType values(sourcePort) as sourcePort values(destPort) as destPort sum(kb) avg(tcp_eps) avg(tcp_Kprocessed) avg(tcp_KBps) avg(kb) as avg_kb_today by sourceIp  | join sourceIp type=outer [search earliest=-169h@h latest=-168h@h  search index=\"_internal\" source=\"*metrics.log\" group=tcpin_connections | eval sourceHost=if(isnull(hostname), sourceHost,hostname) | eval connectionType=case(fwdType==\"uf\",\"Universal Forwarder\", fwdType==\"lwf\", \"Light Weight Forwarder\",fwdType==\"full\", \"Splunk Indexed\", connectionType==\"cooked\" or connectionType==\"cookedSSL\",\"Splunk Forwarder\", connectionType==\"raw\" or connectionType==\"rawSSL\",\"Legacy Forwarder\")| eval build=if(isnull(build),\"n/a\",build) | eval version=if(isnull(version),\"pre 4.2\",version) | eval guid=if(isnull(guid),sourceHost,guid) | eval os=if(isnull(os),\"n/a\",os)| eval arch=if(isnull(arch),\"n/a\",arch) | eval my_splunk_server = splunk_server | fields connectionType sourceIp sourceHost sourcePort destPort kb tcp_eps tcp_Kprocessed tcp_KBps my_splunk_server build version os arch guid| stats avg(kb) as avg_kb_last_week by sourceIp] | fillnull avg_kb_today avg_kb_last_week | appendcols [search  search earliest=-1h@h latest=now  search index=\"_internal\" source=\"*metrics.log\" group=per_index_thruput series!=\"_*\" | stats avg(kb) as indexer_avg_kb_today | join splunk_server type=outer [search earliest=-169h@h latest=-168h@h  search index=\"_internal\" source=\"*metrics.log\" group=per_index_thruput series!=\"_*\"| stats avg(kb) as indexer_avg_kb_last_week count | fillnull indexer_avg_kb_last_week | fields indexer_avg_kb_last_week] | fillnull indexer_avg_kb_today | eval indexer_ratio=indexer_avg_kb_today/indexer_avg_kb_last_week | fields indexer_ratio] | streamstats first(indexer_ratio) as indexer_ratio |  where indexer_ratio*.5*avg_kb_last_week > avg_kb_today | eval kb_diff = abs(round(avg_kb_last_week - avg_kb_today, 4)) | eval kb_diff_perc = round(100*kb_diff/avg_kb_last_week, 4) | eval avg_kb_last_week = round(avg_kb_last_week, 4) | eval avg_kb_today = round(avg_kb_today, 4) |  fields sourceHost connectionType avg_kb_last_week avg_kb_today kb_diff kb_diff_perc | rename sourceHost as \"Forwarder\" avg_kb_last_week as \"Average KBps Last Week\" avg_kb_today as \"Average KBps Today\" connectionType as \"Forwarder Type\"  kb_diff as \"KBps Difference from Last Week\" kb_diff_perc as \"Percentage Difference\"\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in eval parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/evalrules.py: line 23 in p_error: raise SPLSyntaxError(\"Syntax error in eval parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=\"_internal\" source=\"*metrics.log\" group=tcpin_connections | eval sourceHost=if(isnull(hostname), sourceHost,hostname) | eval connectionType=case(fwdType==\"uf\",\"Universal Forwarder\", fwdType==\"lwf\", \"Light Weight Forwarder\",fwdType==\"full\", \"Splunk Indexed\", connectionType==\"cooked\" or connectionType==\"cookedSSL\",\"Splunk Forwarder\", connectionType==\"raw\" or connectionType==\"rawSSL\",\"Legacy Forwarder\")| eval build=if(isnull(build),\"n/a\",build) | eval version=if(isnull(version),\"pre 4.2\",version) | eval guid=if(isnull(guid),sourceHost,guid) | eval os=if(isnull(os),\"n/a\",os)| eval arch=if(isnull(arch),\"n/a\",arch) | eval my_splunk_server = splunk_server | fields connectionType sourceIp sourceHost sourcePort destPort kb tcp_eps tcp_Kprocessed tcp_KBps my_splunk_server build version os arch guid |  stats values(sourceHost) as sourceHost values(connectionType) as connectionType values(sourcePort) as sourcePort values(destPort) as destPort sum(kb) avg(tcp_eps) avg(tcp_Kprocessed) avg(tcp_KBps) avg(kb) as avg_kb_today by sourceIp  | join sourceIp type=outer [search earliest=-169h@h latest=-168h@h  search index=\"_internal\" source=\"*metrics.log\" group=tcpin_connections | eval sourceHost=if(isnull(hostname), sourceHost,hostname) | eval connectionType=case(fwdType==\"uf\",\"Universal Forwarder\", fwdType==\"lwf\", \"Light Weight Forwarder\",fwdType==\"full\", \"Splunk Indexed\", connectionType==\"cooked\" or connectionType==\"cookedSSL\",\"Splunk Forwarder\", connectionType==\"raw\" or connectionType==\"rawSSL\",\"Legacy Forwarder\")| eval build=if(isnull(build),\"n/a\",build) | eval version=if(isnull(version),\"pre 4.2\",version) | eval guid=if(isnull(guid),sourceHost,guid) | eval os=if(isnull(os),\"n/a\",os)| eval arch=if(isnull(arch),\"n/a\",arch) | eval my_splunk_server = splunk_server | fields connectionType sourceIp sourceHost sourcePort destPort kb tcp_eps tcp_Kprocessed tcp_KBps my_splunk_server build version os arch guid| stats avg(kb) as avg_kb_last_week by sourceIp] | fillnull avg_kb_today avg_kb_last_week | appendcols [search  search earliest=-1h@h latest=now  search index=\"_internal\" source=\"*metrics.log\" group=per_index_thruput series!=\"_*\" | stats avg(kb) as indexer_avg_kb_today | join splunk_server type=outer [search earliest=-169h@h latest=-168h@h  search index=\"_internal\" source=\"*metrics.log\" group=per_index_thruput series!=\"_*\"| stats avg(kb) as indexer_avg_kb_last_week count | fillnull indexer_avg_kb_last_week | fields indexer_avg_kb_last_week] | fillnull indexer_avg_kb_today | eval indexer_ratio=indexer_avg_kb_today/indexer_avg_kb_last_week | fields indexer_ratio] | streamstats first(indexer_ratio) as indexer_ratio |  where indexer_ratio*avg_kb_last_week < .5*avg_kb_today | eval kb_diff = abs(round(avg_kb_last_week - avg_kb_today, 4)) | eval kb_diff_perc = round(100*kb_diff/avg_kb_last_week, 4) | eval avg_kb_last_week = round(avg_kb_last_week, 4) | eval avg_kb_today = round(avg_kb_today, 4) |  fields sourceHost connectionType avg_kb_last_week avg_kb_today kb_diff kb_diff_perc | rename sourceHost as \"Forwarder\" avg_kb_last_week as \"Average KBps Last Week\" avg_kb_today as \"Average KBps Today\" connectionType as \"Forwarder Type\"  kb_diff as \"KBps Difference from Last Week\" kb_diff_perc as \"Percentage Difference\"\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in eval parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/evalrules.py: line 23 in p_error: raise SPLSyntaxError(\"Syntax error in eval parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=\"_internal\" source=\"*license_usage.log\" | rename _time as lastReceived s as source st as mysourcetype h as host b as bytes o as originator | eval my_splunk_server = splunk_server | fields lastReceived source mysourcetype host bytes pool originator my_splunk_server  | stats avg(bytes) as avg_bytes_today by mysourcetype  | join mysourcetype type=outer [search earliest=-169h@h latest=-168h@h  search index=\"_internal\" source=\"*license_usage.log\" | rename _time as lastReceived s as source st as mysourcetype h as host b as bytes o as originator | eval my_splunk_server = splunk_server | fields lastReceived source mysourcetype host bytes pool originator my_splunk_server| stats avg(bytes) as avg_bytes_last_week by mysourcetype] | fillnull avg_bytes_today avg_bytes_last_week | eval avg_bytes_today=round(avg_bytes_today) | eval avg_bytes_last_week=round(avg_bytes_last_week) | appendcols [search  search earliest=-1h@h latest=now  search index=\"_internal\" source=\"*metrics.log\" group=per_index_thruput series!=\"_*\" | stats avg(kb) as indexer_avg_kb_today | join splunk_server type=outer [search earliest=-169h@h latest=-168h@h  search index=\"_internal\" source=\"*metrics.log\" group=per_index_thruput series!=\"_*\"| stats avg(kb) as indexer_avg_kb_last_week count | fillnull indexer_avg_kb_last_week | fields indexer_avg_kb_last_week] | fillnull indexer_avg_kb_today | eval indexer_ratio=indexer_avg_kb_today/indexer_avg_kb_last_week | fields indexer_ratio] | streamstats first(indexer_ratio) as indexer_ratio |  where indexer_ratio*.5*avg_bytes_last_week > avg_bytes_today | eval bytes_diff = abs(avg_bytes_last_week - avg_bytes_today) | eval bytes_diff_perc = round(100*bytes_diff/avg_bytes_last_week, 4) | fields mysourcetype avg_bytes_last_week avg_bytes_today bytes_diff bytes_diff_perc | rename mysourcetype as \"Sourcetype\" avg_bytes_last_week as \"Average Bytes Last Week\" avg_bytes_today as \"Average Bytes Today\" bytes_diff as \"Bytes Difference from Last Week\" bytes_diff_perc as \"Percentage Difference\"\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in join parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/joinrules.py: line 56 in p_error: raise SPLSyntaxError(\"Syntax error in join parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=\"_internal\" source=\"*metrics.log\" group=tcpin_connections | eval sourceHost=if(isnull(hostname), sourceHost,hostname) | eval connectionType=case(fwdType==\"uf\",\"Universal Forwarder\", fwdType==\"lwf\", \"Light Weight Forwarder\",fwdType==\"full\", \"Splunk Indexed\", connectionType==\"cooked\" or connectionType==\"cookedSSL\",\"Splunk Forwarder\", connectionType==\"raw\" or connectionType==\"rawSSL\",\"Legacy Forwarder\")| eval build=if(isnull(build),\"n/a\",build) | eval version=if(isnull(version),\"pre 4.2\",version) | eval guid=if(isnull(guid),sourceHost,guid) | eval os=if(isnull(os),\"n/a\",os)| eval arch=if(isnull(arch),\"n/a\",arch) | eval my_splunk_server = splunk_server | fields connectionType sourceIp sourceHost sourcePort destPort kb tcp_eps tcp_Kprocessed tcp_KBps my_splunk_server build version os arch guid |  eval lastReceived = if(kb>0, _time, null) | stats first(sourceIp) as sourceIp first(connectionType) as connectionType first(sourcePort) as sourcePort first(build) as build first(version) as version first(os) as os first(arch) as arch max(_time) as lastConnected max(lastReceived) as lastReceived sum(kb) as kb avg(tcp_eps) as avg_eps by sourceHost guid\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in eval parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/evalrules.py: line 23 in p_error: raise SPLSyntaxError(\"Syntax error in eval parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=\"_internal\" source=\"*license_usage.log\" | rename _time as lastReceived s as source st as mysourcetype h as host b as bytes o as originator | eval my_splunk_server = splunk_server | fields lastReceived source mysourcetype host bytes pool originator my_splunk_server | stats max(lastReceived) as lastReceived sum(bytes) as bytes by mysourcetype | append [search index=\"summary_sourcetypes\" | eval _time = _time + 1800 | rename my_sourcetype as mysourcetype bytes_today as summary_idx_bytes_today] | stats max(lastReceived) as lastReceived first(bytes) as bytes by mysourcetype | eval lastConnected=lastReceived | eval bytes_today=bytes+summary_idx_bytes_today | addinfo | eval status = if(isnull(bytes) or lastConnected<(info_max_time-900),\"missing\",\"active\")  | search status=\"missing\" | sort -lastReceived | fields lastReceived mysourcetype bytes status | rename lastReceived as \"Last Connected\" mysourcetype as \"Sourcetype\" bytes as \"Bytes\" status as \"Status\" | fieldformat \"Last Connected\"=strftime('Last Connected', \"%D %H:%M:%S %p\")\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in eval parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/evalrules.py: line 23 in p_error: raise SPLSyntaxError(\"Syntax error in eval parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=\"_internal\" source=\"*license_usage.log\" | rename _time as lastReceived s as source st as mysourcetype h as host b as bytes o as originator | eval my_splunk_server = splunk_server | fields lastReceived source mysourcetype host bytes pool originator my_splunk_server | stats max(lastReceived) as lastReceived sum(bytes) as bytes by mysourcetype | append [search index=\"summary_sourcetypes\" | eval _time = _time + 1800 | rename my_sourcetype as mysourcetype bytes_today as summary_idx_bytes_today] | stats max(lastReceived) as lastReceived first(bytes) as bytes by mysourcetype | eval lastConnected=lastReceived | eval bytes_today=bytes+summary_idx_bytes_today | addinfo | eval status = if(isnull(bytes) or lastConnected<(info_max_time-900),\"missing\",\"active\")\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in eval parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/evalrules.py: line 23 in p_error: raise SPLSyntaxError(\"Syntax error in eval parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=\"_internal\" source=\"*license_usage.log\" | rename _time as lastReceived s as source st as mysourcetype h as host b as bytes o as originator | eval my_splunk_server = splunk_server | fields lastReceived source mysourcetype host bytes pool originator my_splunk_server | fillnull bytes | stats sum(bytes) as bytes max(lastReceived) as lastReceived by mysourcetype |  appendcols [search earliest=@d  search index=\"_internal\" source=\"*license_usage.log\" | rename _time as lastReceived s as source st as mysourcetype h as host b as bytes o as originator | eval my_splunk_server = splunk_server | fields lastReceived source mysourcetype host bytes pool originator my_splunk_server | stats max(lastReceived) as lastReceived sum(bytes) as bytes by mysourcetype | append [search index=\"summary_sourcetypes\" | eval _time = _time + 1800 | rename my_sourcetype as mysourcetype bytes_today as summary_idx_bytes_today] | stats max(lastReceived) as lastReceived first(bytes) as bytes by mysourcetype | eval lastConnected=lastReceived | eval bytes_today=bytes+summary_idx_bytes_today | addinfo | eval status = if(isnull(bytes) or lastConnected<(info_max_time-900),\"missing\",\"active\") | stats sum(bytes) as bytes_today by mysourcetype | fields bytes_today] | where isnotnull(mysourcetype) |  rename mysourcetype as my_sourcetype\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in eval parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/evalrules.py: line 23 in p_error: raise SPLSyntaxError(\"Syntax error in eval parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=\"_internal\" source=\"*license_usage.log\" | rename _time as lastReceived s as source st as mysourcetype h as host b as bytes o as originator | eval my_splunk_server = splunk_server | fields lastReceived source mysourcetype host bytes pool originator my_splunk_server  | stats avg(bytes) as avg_bytes_today by mysourcetype  | join mysourcetype type=outer [search earliest=-169h@h latest=-168h@h  search index=\"_internal\" source=\"*license_usage.log\" | rename _time as lastReceived s as source st as mysourcetype h as host b as bytes o as originator | eval my_splunk_server = splunk_server | fields lastReceived source mysourcetype host bytes pool originator my_splunk_server| stats avg(bytes) as avg_bytes_last_week by mysourcetype] | fillnull avg_bytes_today avg_bytes_last_week | eval avg_bytes_today=round(avg_bytes_today) | eval avg_bytes_last_week=round(avg_bytes_last_week) | appendcols [search  search earliest=-1h@h latest=now  search index=\"_internal\" source=\"*metrics.log\" group=per_index_thruput series!=\"_*\" | stats avg(kb) as indexer_avg_kb_today | join splunk_server type=outer [search earliest=-169h@h latest=-168h@h  search index=\"_internal\" source=\"*metrics.log\" group=per_index_thruput series!=\"_*\"| stats avg(kb) as indexer_avg_kb_last_week count | fillnull indexer_avg_kb_last_week | fields indexer_avg_kb_last_week] | fillnull indexer_avg_kb_today | eval indexer_ratio=indexer_avg_kb_today/indexer_avg_kb_last_week | fields indexer_ratio] | streamstats first(indexer_ratio) as indexer_ratio |  where indexer_ratio*avg_bytes_last_week < 0.5*avg_bytes_today | eval bytes_diff = abs(avg_bytes_last_week - avg_bytes_today) | eval bytes_diff_perc = round(100*bytes_diff/avg_bytes_last_week, 4) | fields mysourcetype avg_bytes_last_week avg_bytes_today bytes_diff bytes_diff_perc | rename mysourcetype as \"Sourcetype\" avg_bytes_last_week as \"Average Bytes Last Week\" avg_bytes_today as \"Average Bytes Today\" bytes_diff as \"Bytes Difference from Last Week\" bytes_diff_perc as \"Percentage Difference\"\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in join parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/joinrules.py: line 56 in p_error: raise SPLSyntaxError(\"Syntax error in join parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=\"summary_sourcetypes\" |  eval Mbytes = bytes/1048576 | eval _time = _time+1800 | rename my_sourcetype as mysourcetype | timechart partial=f span=30m avg(Mbytes) as Mbytes by mysourcetype | bin _time as _day span=d | streamstats sum(*) as * by _day\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: ('Syntax error in streamstats parser input!', ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 1047 in parseopt_notrack: tok = self.errorfunc(errtoken); /Users/boss/splparser/splparser/rules/streamstatsrules.py: line 218 in p_error: raise SPLSyntaxError(\"Syntax error in streamstats parser input!\");')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Failed to parse query: search index=\"summary_indexers\" |  eval _time = _time+1800 |  eval gb=kb/1048576 | bucket _time as day span=d | stats sum(gb) as gb by day | sort limit=5 -gb | stats avg(gb) as mytop5 | eval mytop5=round(mytop5,2)\n",
        "Traceback (most recent call last):\n",
        "  File \"/Users/boss/queryutils/queryutils/parse.py\", line 123, in parse_query\n",
        "    parsetree = splparse(q)\n",
        "  File \"/Users/boss/splparser/splparser/__init__.py\", line 16, in parse\n",
        "    return parser.parse(data)\n",
        "  File \"/Users/boss/splparser/splparser/parser.py\", line 134, in parse\n",
        "    parsetree = self.parser.parse(data, lexer=self.lexer)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 265, in parse\n",
        "    return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc)\n",
        "  File \"/usr/local/lib/python2.7/site-packages/ply/yacc.py\", line 971, in parseopt_notrack\n",
        "    p.callable(pslice)\n",
        "  File \"/Users/boss/splparser/splparser/decorators.py\", line 26, in helper\n",
        "    raise TerminatingSPLSyntaxError(msg)\n",
        "TerminatingSPLSyntaxError: (\"Illegal character in search lexer '='\", ' /Users/boss/splparser/splparser/decorators.py: line 23 in helper: p[0]  = parser.parse(\\' \\'.join(p[1:])); /Users/boss/splparser/splparser/parser.py: line 134 in parse: parsetree = self.parser.parse(data, lexer=self.lexer); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 265 in parse: return self.parseopt_notrack(input,lexer,debug,tracking,tokenfunc); /usr/local/lib/python2.7/site-packages/ply/yacc.py: line 921 in parseopt_notrack: lookahead = get_token()     # Get the next token; /usr/local/lib/python2.7/site-packages/ply/lex.py: line 384 in token: newtok = self.lexerrorf(tok); /Users/boss/splparser/splparser/lexers/sortlexer.py: line 121 in t_error: raise SPLSyntaxError(\"Illegal character in search lexer \\'%s\\'\" % badchar);')\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Loading parsetree.\n"
       ]
      }
     ],
     "prompt_number": 36
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Step 3: Getting an overview"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We are finally ready to start analyzing the data. For this we will use a combination of methods from the `lupe` and `queryutils` modules. Below we illustrate some of the basic properties of the data. Feel free to play around and examine other basic properties. Can you output the number of users, for example?"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "queries = [q for q in db.get_queries()]\n",
      "print \"Number of queries: %d\" % len(queries)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Number of queries: 262\n"
       ]
      }
     ],
     "prompt_number": 37
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "nstages = [len(queryutils.parse.split_query_into_stages(q)) for q in queries]\n",
      "print \"Min, median, and max query length: %d, %d, %d\" % (min(nstages), numpy.median(nstages), max(nstages))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Min, median, and max query length: 1, 4, 22\n"
       ]
      }
     ],
     "prompt_number": 38
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# How many queries were successfully parsed?\n",
      "parsetrees = [p for p in db.get_parsetrees()]\n",
      "print \"Number of queries parsed: %d\" % len(parsetrees)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Number of queries parsed: 189\n"
       ]
      }
     ],
     "prompt_number": 39
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "command_counts = collections.defaultdict(int)\n",
      "for query in queries:\n",
      "    tokens = queryutils.parse.tokenize_query(query)\n",
      "    command_tokens = filter(lambda x: x.type not in [\"ARGS\", \"PIPE\", \"LBRACKET\", \"RBRACKET\"], tokens)\n",
      "    commands = [t.value.lower() for t in command_tokens]\n",
      "    for command in commands:\n",
      "        if command == 'index=\"os\"':\n",
      "            print query\n",
      "        command_counts[command] += 1\n",
      "command_counts_sorted = sorted(command_counts.items(), key=lambda x: x[1], reverse=True)\n",
      "print \"command, count\"\n",
      "for command, count in command_counts_sorted:\n",
      "    print \"%s, %d\" % (command, count)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "command, count\n",
        "eval, 426\n",
        "search, 329\n",
        "stats, 163\n",
        "timechart, 76\n",
        "fields, 65\n",
        "lookup, 61\n",
        "rename, 59\n",
        "multikv, 48\n",
        "addinfo, 46\n",
        "top, 34\n",
        "fillnull, 26\n",
        "sitop, 21\n",
        "join, 18\n",
        "sort, 14\n",
        "dedup, 13\n",
        "appendcols, 13\n",
        "chart, 13\n",
        "append, 11\n",
        "transaction, 11\n",
        "makemv, 7\n",
        "mvexpand, 6\n",
        "where, 6\n",
        "streamstats, 6\n",
        "delete, 6\n",
        "strcat, 5\n",
        "fieldformat, 4\n",
        "bucket, 4\n",
        "bin, 3\n",
        "rex, 3\n",
        "convert, 3\n",
        "metadata, 2\n",
        "head, 2\n",
        "outputlookup, 2\n",
        "typer, 2\n",
        "inputlookup, 2\n",
        "sistats, 1\n"
       ]
      }
     ],
     "prompt_number": 40
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Step 4: Imposing high-level categorization to understand tasks"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "After getting a basic overview, we'll next look at how many different types of *transformations* are represented by the queries. A tranformation is a category of operation performed by Splunk commands -- each Splunk command corresponds to one transformation. This part of the analysis corresponds to Section 5 of the LISA paper, and step 4 in the wiki page of the lupe repository."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "stage_pcts, nstages, query_pcts, nqueries = lupe.transformations.barchart.tally(db, \"scheduled\", False)\n",
      "lupe.transformations.barchart.plot_barchart(stage_pcts, nstages, query_pcts, nqueries, False, \"figs/example-transformation-barchart.png\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Unknown command type: typer\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Unknown command type: typer\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Augment, 33.1, 51.9\n",
        "Filter, 23.2, 100.0\n",
        "Aggregate, 19.7, 75.2\n",
        "Transform, 6.2, 29.0\n",
        "Join, 5.2, 25.6\n",
        "Project, 4.3, 13.4\n",
        "Rename, 3.9, 12.2\n",
        "Cache, 1.5, 8.4\n",
        "Reorder, 0.9, 5.3\n",
        "Set, 0.7, 3.4\n",
        "Window, 0.4, 2.3\n",
        "Meta, 0.4, 2.3\n",
        "Input, 0.3, 1.5\n",
        "Output, 0.1, 0.8\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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hGAnBFJBhGIaREEwBGYZhGAnBFJBhGIaREJJ5Se6YEBFb0MgwDKMIqKok8vgp\n0QNS1Zi3sWPHhioPwIIFsW+DBoUrH2f5w25Wf2rKbvVb/dFbMpASCsgwDMMofZgCMgzDMBLCQaeA\nMjIy4nuAdu3iWn285bf6E1O31W/1J3v98UCSxRZYVERE43kOIpI1VhMXunZNGnusYRgHDyKCHsxO\nCCJylIi8JSI/i8hXInJ2IK+7iHwpIr/6MocnUlbDMAyjZEmYAhKRssCLwEtATWAo8KSItBCROsBz\nwCiftwz4d6JkNQzDMEqemBWQiHQQkcuj0s4WkZUi8oOITAp57COBBqo6WR0LgPeAi4B+wApVna2q\ne4BxQFsRaRnyGIZhGEaSEqYHNAboG/nhTWJPAfWBX4BbRGRICchzNNAa+CySqKq/AV/7PMMwDCMF\nCBMJoS3wQOD3AJzCOA74AXgFuByYGmN9/wU2ichNwGSgK9AZWABUATZHlf/Fp+di3LhxWf9nZGSU\nSm8QwzCMeLJw4UIWLlyYaDFyELMXnIjsBq5S1en+95vAflXt6X8PAyaqau2YDy5yDHA/rmezDKd0\n/gfsAsqp6vBA2RXAGFV9PqoO84IzDMMISWnzgvsZZ25DRCoAJwPvBPIVqBTm4Kq6QlUzVLWOqvYG\nmgFLgFW4Hhf+eJV93qow9RuGYRjJSxgT3KfAZb7nczZO2cwP5DcBNoY5uO8BfYVThMNwCm46UAO4\nW0T64Ux7Y4FPVXV1mPqN0oVIQhtjRinErAelmzAKaCLwOvCh//2Gqi4N5J+B672E4SLgMqAcrjfV\nQ1X3AptFpD9uzOlJYDFuzMlIceyDYsSKNVhKPzErIFV9X0SOB3rhzHHPRPJEpDZOOT2fz+751Xkz\ncHM+eW8CR4WpzzAMwyg9hJqIqqr/VdX7VPVxPz8nkr5VVa9T1bfDCiAijURkjohsFZENInK/iJTx\neRYNwTAMI0UJHQlBRJqKyOUiMkpEmvq08iJyuHdOCMt9wBagAdAO6AIMs2gIhmEYqU0oBSQif8U5\nDfwTmAA09VmVgC9wjgRhaQP8W1X3qOpGYJ5Ps2gIhmEYKUyYUDxXAH/GOQb0BLJGAFV1By6u2xlF\nkGE+8CcRqSQiDYE/AK/ioiEsDxzDoiEcpEyfPp20tDRq1qzJzz//nCNv3759pKWlMX78+AMmz5Qp\nU+jVqxeHHnoolStX5phjjuFvf/sbe/fuzbP8K6+8QufOnalatSrVq1fnpJNOYkFgbtkbb7zBn/70\nJ4444gg8r1T6AAAgAElEQVTS09Np3rw5w4YNY/Pm6LnYpYe0tDQmTJiQaDGMJCeMF9ww4AVVvc6b\nx6JZgTOfhWUc8AYu0kEZYLqqvigiZxJjNASLhHBwsGPHDu666y4mTcoddvBAekRNnDiR0047jcsv\nv5y6deuyaNEibr31Vj788ENmzZqVo+w///lPrrnmGq655hrGjh3L/v37Wb58Ob/99ltWmSlTprBj\nxw5Gjx5NixYtWL16NWPHjmX+/Pl89tlnVK5c+YCdW0mxePFiGjVqlGgxjADJGAkhjAJqCTxcQP5m\nIC/FlC/ivhrzgWeBDkBVYKqI3IWLhlAtapfqwM7oeoIKyEhdevbsyf3338/1119PvXr1EibHp59+\nSu3a2QE/unTpgqoyduxY1q5dS9OmzjK9bt06rrvuOv72t79x7bXXZpXv2bNnjvoeeugh6tTJfnU6\ndepEy5Yt6dKlC7NmzeKSSy6J8xmVHHv27KF8+fK0b98+0aIYUUQ3zg+k1SA/wowB/Q4U1BQ7HOee\nHYY6wAnAA6q6V1W34Saino5FQzCiGD16NAC33XZbQuUIKp8IJ554IgA//vhjVtrUqVMpW7YsV155\nZYH1BZVPQfXlx5o1a+jTpw+VK1emXr16XHfddfzzn/8kLS2N9evXZ5XLy1S5bt060tLSmDFjRo70\nt99+m+7du1OtWjWqVKlC7969WbUq56uXkZFBp06dmDNnDscddxwVK1bk4YcfzvdYy5cvp2/fvtSq\nVYv09HQ6duzIu+++m6PM0qVL6dGjB3Xq1CE9PZ1mzZoxfPhwjNQkjAJaCpyTV4aIVMRNKn0v5PG3\nABuAq0SkjIjUAAbhxn6eB44WkX6+fouGcJDToEEDrr76aqZMmZLjwxor+/bti2krCm+//TZlypSh\nZctsH5l3332XVq1a8dRTT9GsWTPKlStHixYteOihh2KqD+CoowqeCrdnzx569OjB8uXLeeihh5g+\nfTpr167ltttuy9MsmZ+pMpg+d+7cLOUzc+ZMnnrqKXbu3EmnTp34/vvvc+yzevVqRowYwYgRI3jt\ntdfo3r17nnV+/PHHnHrqqfz88888+uijzJ49m9q1a3Paaafx8ccfA7Br1y569epFuXLlmDFjBvPm\nzWPMmDHs37+/0OtllFJUNaYNOA3IxEUm6Ob/Hwj0xkVA2AecGmt9gXo7AIuA7Tgz3jNAXZ/XHedd\n9xvwFnB4HvtrPAGUBQvit8VZ/tJEftdi2rRpKiL6zTff6LZt27RGjRo6ZMgQVVXdu3evioiOHz++\n0PpFJKYtLMuXL9eKFSvq0KFDc6S3atVKq1WrpnXr1tVHH31UFyxYoFdddZWKiN5777351vfLL79o\nq1attE2bNrp///4Cjz1lyhQVEV2yZElWWmZmprZp00bT0tL022+/zXH+0ddp7dq1KiI6Y8aMrLRm\nzZrpaaedlkumOnXq6HXXXZeV1qVLF01LS9Ply5fnkiv6WN26ddPWrVvr3r17s9L279+vRx11lJ59\n9tmqqrp06VIVEV2xYkWB5xzB3p3i4a9fqO91SW9hIiG8ISJX4ubt/MknP+H//g+4TFXfL4ICXAJ0\nyifvoIiGEO8BdE2h8DY1a9bkxhtvZPz48dxyyy0cccQRMe+7bNmyEpdnw4YNnHXWWbRo0YJ77rkn\nR15mZiY7d+5kxowZnH22W20+IyODdevWMWnSpBzjQhH27dvHBRdcwIYNG3jvvfdISyvYSPHBBx9w\n+OGH5xhzERHOO++8Itn4v/rqK9asWcOoUaNy9AYrVarEySefzDvvvJOjfNOmTTn22GMLrHP37t28\n8847jBo1CiBHvd27d+epp54CoEWLFtSoUYOhQ4cyfPhwOnfuzGGHHRb6HIzSQxgnBFR1iojMAc7F\nKQYBVgOzVPWHsAcXkV24KNoRKgEPqeq1Pr878CBwGK6XNVhVw9tekp04L/eQalx//fXcf//9jBkz\nhpkzZ8a8X2EfyrBs3bqVHj16ICLMnz8/l7da7dq1+eabb+jRo0eO9B49ejBv3jw2btxI/fr1s9Iz\nMzMZNGgQb731FnPnzuXoowufcbBhw4YcdUTIKy0WNm3aBMCll17KpZdemiu/cePGOX43aNCg0Dq3\nbdvG/v37mTBhQp6u2ZEGWPXq1VmwYAETJ05k2LBh7Ny5kzZt2jB+/Hj69etXlNMxkpxQCghAVTfg\n1vApNqqa5VLtnQx+Amb533WA2cClwBzgNlwkhFNK4thG6aVy5cqMHDmSG2+8kZtuuinm/cqXLx9T\nuczMzELL/PLLL/Tq1Yvt27ezaNGiPD/Ebdq0YcmS2OPzXnnllcyaNYvZs2fTNcaGQ4MGDfj8889z\npW/cmDswfYUKFdizZ0+OtK1bt+b4HXGwuPPOOznttNNy1RF9DWPpvdeoUYO0tDSuvvpqLr744gLL\ntm3blv/85z9kZmaydOlSJk2axPnnn8/y5ctp06ZNoccyShehFVAcORfYqKoRt5h+wEpVnQ0gIuOA\nLSLSUs0R4aBn2LBh3HPPPVlmnVgoKRPcb7/9Rp8+ffj2229ZuHBhvmbAfv36MXXqVObNm0f//v2z\n0ufNm8dhhx2Wo5dy44038thjj/H444/Tt2/fmGU59dRTmT59OkuWLKFDhw6AU6CzZs3KpRwaN27M\nihUrcqTNnTs3x+9WrVrRpEkTVq5cyc035xknODSVK1emU6dOfPrpp/zjH/+ISWmlpaXRoUMHJkyY\nwEsvvcSXX35pCigFyVcBicg0nHnsclXdH/hdIKo6pIiyDAIeD/xuQ1QkBBGJREIwBXSQU758ecaM\nGcPQoUNj3uf4448vkWP379+f999/n3vvvZedO3eyePHirLzmzZtnuVWffvrpdO3alSuuuIItW7bQ\ntGlTnn32WV5//XWmT5+etc9dd93FP/7xD4YMGULz5s1z1FevXr0Cx7kGDRrEnXfeSb9+/bjjjjuo\nW7cujzzyCDt37sw19jdgwABuu+027rjjDjp06MCiRYt45plncpQRER588EHOOuss9uzZw3nnnUed\nOnXYuHEj77//Po0bN+b666/PKh/r+OI999xD586d6dWrF5deeimHHHIIW7Zs4eOPPyYzM5NJkybx\n8ssvM2XKFM455xyaNGnCr7/+yn333Ue1atU45RQzfKQiBfWABvm/VwL7A78LI7QCEpHGQGcgOOOu\nMhYJwfDk1Wq+5JJLuPvuu/n6668PqCzz589HRHI5EYgI06ZNy2FmeuGFFxg5ciRjx45l+/btHHXU\nUTz11FMMGJC9vNW8efMQEaZOncrUqVNz1Dl48OBcaUHKlSvH66+/ztVXX82wYcOoXLkyAwcO5Iwz\nzsg1/2jkyJH8/PPPPPDAA9x555306dOHJ554IqvnFOEPf/gD77zzDrfffjuXX345u3fv5pBDDuGU\nU07hggsuyHG+sTrQHHfccSxdupTx48dz7bXXsmPHDurWrcsJJ5yQJWfLli1JT09n4sSJbNiwgapV\nq9K+fXtef/11Dj300JiOY+RPMkZCkGTwkBKR0UB3Ve0aSJsMlFPV4YG0FcAYVX0+kKbxPAcRib+T\nQJzrT4Z7HAt+jfpEi5ESTJ8+nSFDhrBu3ToOPzw1VzGx56V4+OuX0FX9YpqI6ieJHi4iteIkx8XA\njKg0i4RgGIaRwsQaCaE8sBbnkVaiiMipwKG4eHBBLBKCYRQDW7LaSHZiUkCquhsXNufXOMhwMTBb\nVXPUrapbgP7A7cA24ERgQO7dDcOIZvDgwezfvz9lzW9GahDGDXsubr2fwgNZhUBV843UeLBEQjAM\nwzgYCROM9GaggYg8LiLHerNYiSAiA0TkCxHZJSJfi0hHn95dRL4UkV9F5C0RseacYRhGihBGAW3C\nOQVcCHwK/CYimX7bH/kbVgAR6QHcCQzykRE6AWt8JITngFFATWAZLhKCYRiGkQKEMcE9XniRwieq\n5sF4YLyqfghZoX4QkaHACouEcHBhA+eGcfAQJhr24JI+uIiUwS1I96KIfAVUBF4AbsIiIRx02JwO\nwzi4SHQsuPpAOZy3W0fcmkIvAqMJEQnBMAzDKH2EUkAiUha3CF1PoB5ws6p+IiI1gTOBN0Muy7Db\n/71fVTf6Y9yDU0DvANWiylcHdkZXYqF4DMMwCqZUh+IRkXTgddxyCL8B6cBpqvqWV0zrgWmqGnt4\nYlfvemCUqj7hf/fDKaCHcY4JEY+4SI+oXXAMyELxFF6/mbYMw4im1ITi8YzDjdf0A5oGM1R1Hy5y\nQc8iyDANuEZE6vqe1PW49X8sEoJhGEYKE0YBnQf8S1VfIG9vt6+JUkwxMhFYinMs+Bz4CLjdIiEY\nhmGkNmHGgA7Fzf/Jj9+AqmEF8L2n4X6LzrNICIZhGClKmB7QNqBhAfmtgR/DCiAiC0Vkt4js9NsX\ngTyLhGAYhpGihFFAbwCXeGeAHIhIU9xCdPOKIIMCw1W1qt+O8nXWAWZjkRAMwzBSkjAKaAJQCzde\nc5VP6y0idwKfAHuASUWUIy9PjH7ASlWdrap7cE4QbUWkZRGPYRiGYSQRMSsgVf0K6AbsxYXPAfgz\nLkjpeqCbqq4vohyTRGSziLwrIl18Wq5ICDhHh6Ojd44sDRyPzTAMw4gPoSaiqupHuF7IMTjnAAFW\nq+onxZDhFtwqp3uAC4A5ItKOMJEQ4j1PxzAMwyhxihSKR1VXACtKQoBIEFLP4yJyAXA6sIsYIyEw\nfXr2/+3auc0wDMPIIhkjISQ6FlxBrAIGRX5454dmPj0ngwcfMKEMwzBKI9FhysaPH59/4QNEzGNA\nUev+BLf9RV0PSESqi0gvEakoImVFZCBuPaB5WCQEwzCMlKa46wGVBY4ATsY5DBQ0UTUvyuEiIRwJ\n7Ae+AM5S1a8BRKQ/8ADwJLAYi4RgGIaRMpTIekAicirwEtnu2bHWuQVoX0C+RUIwDMNIUcLMA8oX\nVX0fmA7cVZT9RaSFiPwuIk8E0iwKgmEYRgpTIgrI8xUuYGhReBD4EB/k1KIgGIZhpD4lqYC6kL3A\nXMyIyABgO/Am2RERLAqCYRhGihPzGJCIDCLvZRhqAT2APwCPhTm4iFTDRVXoCgwNZOWKgiAikSgI\n5gVnGIaRAoTxgptWQN4+4FHcYnJhmAg8qqo/ioiSreBij4JgGIZhlErCKKBueaQpbpmGtaq6K8yB\nfbid7sBxkSSyTXCxR0EAi4RgGIZRCMkYCUFU87KqHYADi4zArXYaUSpVgDK4uUCPAINUtaMvG+kR\ntYueiCoiGvdYcKW8/kTdY8MwkhcRQVUTGnG5JJ0QwjIFN4m1LdAOp3TmAj2xKAiGYRgpTxgnhGnk\n7YRQIKo6JJ/03QS85kRkF7BbVbf63xYFwTAMI4UJMwY0qPAieZKnAopGVcdH/bYoCIZhGClMGBPc\nIbhYby8Ap+ImiNYE/g94Ebcqan1VTQtuBVUoIk+KyAYR+UVE1ojIqECeRUIwDMNIYcIooHuATara\nT1UXq+oOv32Amzi6xZcJwySgqapWw80jusZHx64DPIdFQjAMw0hZwiigP+ACjuZCnZvVHNxCcjGj\nqqtU9fdA0l6ct1s/YIVFQjAMw0hdwiigCsBhBeQ39GVCISIPicivuIXmblfVj8kjEgIQiYRgGIZh\npABhFNC7wNUi0iU6Q0QygGuA98IKoKrDcHOATgNuE5H2uEgIv0QVtUgIhmEYKUQYL7gbgUXAAhFZ\nCnzp048ETgJ2+DKh8Sa8hSLyLHABFgnBMAyjRCn1kRBEpCkuesGZuF4KOGXxMjBaVdcUSxiRR4Gf\ngG+xSAglV3+csUgLhlH6SIZICGF6QKjqWuBPIpIG1PPJm1V1f9gDi0hdXCy4OcDvOBPcef7vWuBu\nEekHvIJFQigepVzBGYaRmoRSQBFUNRPXUykOClwJPIwLQroauEhVl4JFQjAMw0h1iqSASgJV3QJk\nFJBvkRAMwzBSmIQpICN1EImvGdnGmAwjNUmoAhKR8jgTXHfcyqrfACNVdZ7P7w48iJt/tAQYrKrr\nEySukR82xmQYRhFI5HIM4BTgeqCzD8czGpglIodbOB7DMIzUJqE9IB/hYHzg91wRWQucCNTBh+MB\nEJFxwBYRaWnecIZhGKWfYveAfE+lRBCR+kBLYCUWjscwDCOlKVIPyK9S+nfgEqCiiPwPeAoYoaq7\nilhnOWAmMF1VVwcmnwbJOxyPRUIwDMMokGSMhFBUE9xfgV64+G/fA8fgxm/ScEopFH5i6xO4CalX\n++TYw/EMHhz2kIZhGAcVGRkZZGRkZP0eP358/oUPEAUqIBFprKrf5pHVF7hQVd/1v+d7V9z/F1YA\ncTs+BtQFTg9EVVhFYBVW3yNq5tMNwzCMUk5hY0CrROQ6yT3RYxfQKCqtIfBrEWR4GBfQtK+q/i+Q\n/jxwtIj08yY/C8djGIaRQhSmgC4GbgKWiMixgfSHgKki8riI3C4ic4BrccokZkSkMTAUaAv8JCI7\n/XaBj5TQHxf8dBvOM87C8RiGYaQIBZrgVPU5EXkTuAtYKiL3AONU9SER2QpcCpwA/AgMUdUZYQ7u\nzXv5KkELx2MYhpG6FOqGrao7VPVKXLSCs4EVItJNVf+tqj1VtY2q9girfABE5GoRWSYiv4vItKi8\n7iLypYj8KiJvicjhYes3DMMwkpeY5wF5h4N2wNPAKyIyVURqFvP4PwATganBRD+3aDYWBcHAxZqL\n52YYRmIIux7Q/4CxIvJv4F/AFyJynao+U5SDq+rzACJyIjmdGvoBKy0KggHEPdZcPJWQBVI1jPwp\nzA07HbgTpxAqA+8B16nq5yLSEbgKeERELgKuKkag0OgvQK4oCCISiYJgCsgoWeKl4CyQqmEUSGE9\noL8BFwL3ANtxCudlEWnj5+s8JCIv4iJWrxKR0ap6bxHkiG4mxh4FASwSgmEYRiGUxkgI/YBJqjoJ\nQETeBj4GWgMrAFT1B+Bsv4LpfUBRFFBe84xii4IAFgnBMAyjEJIxEkJhTghp5OydaNTf7Aw3XtO6\niHJE17cKNzcIsCgIRunFHCgMI38K6wE9D/zFLxy3HbgS+Ar4Mq/CqrojzMFFpAxQzstRRkQqAPv8\nce8WkX7AK1gUBKO0Yov1GUa+FNYDuhEXJPQqYALwLXCmqu4roePfCvwG3IIba9oNjLIoCIZhGKlP\nYZEQdgHD/VbiqOo4YFw+eRYFwTAKId5mOHMjN+JJQldELQwRqYWLlN0D2AKMVNWnEyuVYSQRZuIz\nSjFJrYBw7t2/A/WA44C5IrJcVT9PrFiGcXBgPSwjniStAvKeb/2ANn457vf8nKOLgJEJFc4wDhZK\ncRSKA4Ep0OKRtAoIaAnsU9WvA2nLgYzEiGMYRokTbxNiKVegqa7gJFlPUEQ6AbNUtUEg7XLgT6ra\nNZCWnCdgGIaR5KhqQrugydwDiikaQqIvoGEYhlE0Yl6OIQGsBsqKSPNAWltgZYLkMQzDMEqQpDXB\nAYjI07gwPZcBxwMvA6eo6hcJFcwwDMMoNsncAwIYBlQCNgFPAlea8jEMw0gNkroHZBx4RKSMX2qj\nVFLa5TdSFxFJU9XMRMuRTCR7D6hUISI1RGSYX8iv1CEibYGfRaRqnOqPq8OIiNQARovI8fGqv5Tf\n37jK74MLxw0RKSci1/s5gvGov6aIXBWP6yMi1YA7/OrPhuegVEAiUuLn7T/aI4EHgM/j9RH3x4rX\nfdsKfAR8XNLyi4io726LSCcRObKE649c/7HAMu/GH4/6435/40G85ReR9sAsEZklIjfHScmdDPwd\nFxy5RBGR6sD1uOgr63xk/pKquyowGrgZ6FVS9aYEqnpQbWSbHdOAWiVUZ1Xci5GJW0X2NWAtULU0\nyB9V/2HAq17+yiUps/+/M24xwx3+ukkJ1B+8/hP9/3uA/yst9xc3xaAlcDbQ19+HsqVBfqCTr/t9\n4A1gGbAUqFKC1+dQ4DPgE+DIkqrX113NX5f/+efm6zh9G0aXpNyBY9QFTgWuwym5rkDDeByrxGVP\ntAAH7ESzP9zVgRbAU7gF7o4vZr3V/cObCYz3aYcCb/oHuVoyyx91jDT/tzFuXaZPivsRiVI+XYD3\ncHO8epSQzMEXfKxPSwf+AXwPtIpD/YcCb/nrU6kEzqEt8A5uaZI9/lifAf8ugesfV/n9tV7tn/c6\nPu1Yr4g+BdJL4PpUAP6Ciwt5Q/TzWgLX5x5/ff6BU86TgfIl/GxODKSXKW7dgbpO9Nd5n39+fvHf\nneU4j+ESOU68toQLENeTi2pdA72BWbjW907/YDwKVChi/dVwaxb9HnnAIg+Xf8nfxnnwFelhjrf8\nUXWXjfzFLQi4EWeSW0MRW8r5KJ89QEbwWhVD5urAHf46jAxc+zSgFU5B31iM+msAd0Y+3mQr6DJA\nR2A9zjOzOOfQG6eQf/AfqyNxy5BcBSwE/ksRldABkr8+sBl4juxGkgBHA0twJq0i3eeAvEfg1iJ7\nI59yRX2/ggpiGC7O5F7guOjnt5h1Z30bIu9qcZ/9wLPzq78244E6/ridgYf8c9WhuMeJ55ZwAQ7I\nScIVwIv+YfgKuAG4xv/uWwIP2GZcizXycEU+5ocC1+K6xUU2d8RD/qj6I/KW88fZhPuwtwTmUQQl\nRP7Kp5tPS/MvZJFecn/978YtYvhtIL2i/1sNp0DvK0b9f8W1Kt8NpJf3fw/3eaOKcd1P9B+Jj4Gz\novLKAE1xPYt3IueVTPIH6nzGPzMtA2nl/PFnA4cVs/7ZuOVY2gXSauBMlfOBDYTsyUW9v2OABv46\n3xN5JyhiD4u8lU9ZYIaXN/KdKHIPDmjnn52PcIuERudXB/7lz6luce9xvLaECxC3E4NGuCXE38fZ\ndn/EtSqb+I/f58BLgfIxfwjzeHgPBT7ARWmoFFW2mn8ILk4W+aOOE1Q+L+CU6SR8qxs3FvEmbswg\nppYmuZVP5By6Ro6VlwxFvP7/9LK9HMivCPyZItrdo+p/HqfkxgbyK+FW8c0Eri7K9Qdq+49HZJXh\nSHpa1PXriOtJ/DFZ5I/cP7KVWWecsn8rj2f//KI8l4E6Lvfy30F24+IInNJ71p9DJnB0Ea/PxMA5\nfAf0iyp7pH8PZxBDIyyfusviGks/4syVRwWuYehxPpxyeRv4CTg7+OxElTvPl2kZ9hgHaku4ACV+\nQu4DPQxn/99BtpKoFSgzBGc2G1LEm/9XX++4QPphuIHXz3AmiKbAYJ9XLp7yh/l4RB0rL+VzR/SL\nBtQiRlMN+SufDj7tD7ixjRm4JdkrB2WJ8frfTc4xjbbAN7iexHXATP/R+iB4jkW4v5H6/+jP4X7g\nfNwYwS/A0mI8pyfgeoQTAmm5WsQ4ZboSuDsZ5Ac6AG9HpaUD9/pjXubTykSVibm1T7Ypr4m/h2tx\na4LVAgZ72Z/257EOuCbWY5DH+4tTEB8CLwbKnYyzXGzCKY1M3Ec/X9NZ1LMZVD6T/b3+Hjc2M9Mf\nr2rYa+PLH4nrvU7O6/qSbYqu42U5r6jPaby3hAtQ4ieU3Sp6DbjNPzSryW7RC84c9Fn0jS/sQcC1\nTif6+m/NI/9Q4AngEtzYTCZu+YgygTJDKGBgtijyUwQFROzK5y9Rvwt6AfMyu/3Pv8yVcb2VTNwg\n6UrcGM0XYV5E4Gpfx5io9LrA67hW5u/AK0B7nKKrFst1yu/++mv0UED2TOBdvGmD7NZsmF7EZV7O\n+vmde+D+diK795jvMeItv3/2huM+ol2j8uoA24Bni/P+BuUAbsINrrf31+BZnLltAs6EeDeuJ9Sm\nsGezkOtzhn92+uMajjPJ7p3eiWtYbsWZvfP1DA08mxMi7xhOMW/AvWN1gPI4BbIQZxkJPX6F69ns\nwff68jtv4AIvT0Zx70m8toQLUOIn5G5698DvpriW8Re47vFF/qYMCpSpGHgJC3uIWwO3RKWVicr/\nB24w88qocjf7Y/+1pOQnqudAbB/xSAupMOUz3x+rS1C+fOpsAlT3//fCtVz3kP3hfMTXNQ5nfqrg\nr9V7uBh/sfZQyhLVcyVn66+Zv2aNyR4360rAySLM/SX7Y3gVzvEjAzfAHkmvHC1fjOcxFKeACnX3\nBaqQbe4K9XyWtPxkm5sfx/VIIkqyPM6rbgVQr7BnL4Zz/j9cK/9NYCpuDGga3uSEiw25Gvhz1H61\ncYPzeTbyoq+PT7vbH2shrmH3X2AQzix3u3+Or6QQZxD/bF4e+H8yzgT2dOQ+B677NRTRSxM4xz/X\nx+SRF3wXnsApzkbBYyfTlnABSvRkAi9P4Ean4WyukRbNe7gufUufn+4fwNcJOdAbfVNxtunH/MMx\nPKrcSFwL8WnycZ0OKX8rn1/Gv/zVyVYshX4EccpnAa7HUJDyWYfrzV2Z1zkHruEW4CVcz+NrnJmk\ni8/vSU439eA1G+HPJ9dAdfRHpKDzImcj4DDcRzLTv+RzcL2v6nnJX9gz5e/BVOCbQPoffNoqnGfi\nn2ORM1AmYjY8K4ayVYG2YeqPp/w4Bbbd79/W3/++OLPnq4FntzFusLwH0DpE/eVxCi4TZ4b+AffR\nPTRQZjkwP2q/1jjzbiZuwm0sPd6auHc/05/PcJ9XDXgY1wPL0fPJq15yvrtlgOn+2Qsqn/KBa3M7\nsB9oHOu9DNTfEqfoB5P9zkebPEeQ08xYYt53JbklXIADcpLOdHAo7iOeCYzw6VVw7qnfAYsJ6c5M\n/srnqqhyI4GfcSaEtj6tnH9BY+mxRMt/rU+vi/uwLsH1kv5NtjmrsJbyYTiPunvJrXze8S/H87ju\n/gT/Ms0toL7WuBbXAv834spaFhdI9mtc61T8ix/pkQzHfbiOjaqvAe4DfULIe3IYbl7EjzgT5lG4\ncY/3/TlUzOsDEsP9/QSY4/8fh2sMfIvr2T2H8xScnde++dRdG2defZKc43vRTggVcV6Q7wL3BtIL\n/ZDEWf52fp8VuEbKb7iGRMQcNhhnZt3vt6+AR2OV39+3j3GeXPWi8u7AOeEc4X83x/XwduDMXff7\n5yblJZ8AACAASURBVGc+Mbiw40xinQK/q/hneC/uQ56rd16Q/P4evuSPn6V8Avl/wrlPP0LOhlOk\nN1mYgk7DeQZ+4M89WEdZnJdsxIzfDBiAG3MK3cCO95ZwAQ7YiTr760L/IhyBa7WN8w/sXLz3WvBh\nK+wlDJRrAUwhf+WzHdfKPILsD29/nInonJDyfwM0BI7BfVA3e/kf9h+DL/E9hxg+IvWiX1Cc8tmF\nG8yv6dPKA6fhPMuCD3t0q6ti1N/ICzXFfzAicgVbi/P9PakSSIu0EkcRwn6NUz7LcR/Wc8geNysH\nHAecEVU+VnNQT9xH9FJgoH9m9pHdw4vMvfge+H8h5D0G99F8jEAPIVo2nLI6H/fB/3cRns94yd8E\nN07zBE5RNPXpg/278B7QDdc4udjfl5kh6q9B1HsJnITrsYzxvy/ATXrNxL1PnSPXBmfa7V9A/RJ9\nDXHzmqbjzG6R3tCh/jzOppCeaOCZL0P22GPwmzIA59jwGoGJorhxqCfJdsrJ894G6i/nn/UPcN+Y\nk3HvbMTs/AqukRCZZ/Y2XmEn05ZwAQ7YiTqzwU78+AvODXWDv1GRhzzYSsmza5tHveVwLa5MYGhU\nXlD5RHo+o3G9hDU4+3CDkPJPwCmEtf4B7BMo0xRnAukUq/xRx3gL1zIbQfbHO6sev9WMvOQ+vaCX\nMPL3ZpxdPbqX84C/bpcG0tqSs0EQ60e2Ca7FvM5/KHIN7vpr2AnngVY+P/nz2C/i0t0U17L9DGfW\n24xXHP45mI1bRj7Mc9mO7EgCr+EaBYfgBstfx417nOPLnoxT1qEm18ZT/jyOdTLuvfoRZ3Ju6NMr\n4XrTa/G92hD3Nthgmezr6Ihzd/4fzoIx1Oenk62cysVyfwN118OZ4fbgPFHr4HorP+N6eHv99Z8W\n2CfX+0VUjyTwf0T5vEXOcd6e/n5k+uehwJ4Q5HAgmorraWZ6+b7D9YAOx5lZf8eN8x5VnPsary3h\nAhywE80Ol3OYv+Gbca3vyIeuQqDsxf5ljGlyG66FFz0wnpfyKYNrMWbixkgi5rJCu8YB+Y/AjVn9\njGs1ZX3scd3vF3E9pX/HKr/ff66v/2pyK59Ij6Q8zqy1DHgwsG9+XjiR/criTEAf4T6G1+M+rvv9\nuUQ+Um1wprqNwEnR9RQi/wzcx+gsopQPzgwxyb+MmbiW+AKyW6ixOCY8g7O978QrfZxJdRvQwv9+\nCdcAKEdO81dh3pWNcabIx4AzcY2iiFn4P/45uiVwzEcLux7FlL9MYTLncY8jf/+IG7Pp7Y+5Df/x\nw/X4MvHzngLPbmPglBiuUz+//6u4Fv1unBJq7/OrkP0x/r9oGQupu66/Hr+SbaK/BKd45uF60M1x\nPch1wOMh78ElOKX8JjmVTw+ceXW/vzf343puBZrSyVZCghv/PRH3bajn088kW/m0zmN/CdaTqC1h\nBz7gJ5ptG62EUy7fk92tDyqf83AtxO8oYiwlXO8qonyODRz/fFzrLdJCfKYI8tfyD+xr0Q+j//9J\nXCvrW+DUEPUfiRtryHrwAw9pObIVdQ2gjz+Pp2ORO1DHf3AtyF9xpsLB+IFlnPL51l/7rkS5Bhf2\novjr04moWea4Vv+/yZ4Hc57/iLyL+1jFFKsM57UnOFPijT6tqq97M+7Dux24PbBPxcD/sbb2T8Ep\n4EhPvTLOI2svrlX+DLCIPMxHJST/HfnsH6tCug1Y4/+v5Ovf5p+vc/yxTgycawNc42Ehftwwn3or\nke0ssBHX2z2JbDNxFZyn6I/+elWM2j8W775NeGcMXG/5fzhluoVsJV0J1yv6lpyOFXlen8h9wimV\nz/CRQHxeD1wj43dcw68j7t1agDOnF9iAJKfH2/9v79zj9ZrOPP7d55wkck+QCEISJCGEpKUulUQR\nqvSKtiY6ZrQ6HS1apaWGoUy1HXc1pqWRoiWCYqp1bWloQ4JITN0GiSQEUSEuucjZ88fvWWetvc97\n2e855z37nGSvz2d/kne/51177XV5rr/neUKBZ3ekxd1OaeYzEUHN+4T91LKfOurq1IfldaU3H/Jz\nzEp/h4jT35CkflAbn/UdOyS/wTOfRjvgL6H8W1shwriKIPitQp+9Up8fx8wAqU14DD6RZc3JPvHE\nPuzzo0jKXGjE5Mt2fx8kCf5rhn4dE2qwd9+RgPDjmc9CZGt3fz8OmRwrZuUusb7h+H9kh/EYkrb4\n8YgZfjP17mW1OSM+NyFJ2Uma/RDSqRlphoPs/ubIXDS91LgqvMsnbF98LnX/YHvG+8ARWfurcfxP\nkER7bUoZc1KF5xyGJcm1Zzom97btl/l2L0KaxWJ7359k6Hsc5v8hKTT2Ref2NVtnJ4Rsk57HKv0P\nxhPlkxBD2x2vKaY1OZdWyglLQ5B1pRVjQDRg99R6zkbMJx1TNcneZVrYR8Y17mnz/QIl0LaIsc5B\nzPUjeOYzDAlmg7POV0dcnfagrnLZIl2NfBKjgs0zzQ7O48CnKvy+miQ1FtntJwQbL2Q+DpPfhIh7\n5pIBeAfrdGSqGo33ZRxj9+ZTgXlmISLB347E59q6DWlXb2HBqUZAysY0pfoqJyGmmY9bjx3sPVvS\nxbRh/OOQtnU5rc1yQ5B022r8KAZl3wp9vmVrPNLu9UY5/w62zwNR9uZmm7eRNeyfrWwdf4VHeQ1C\nJsT1yBRbNrca2eKESo3/O/gkscfgie6fCLSiDP0PR9rtdHx27L5IIPs7HiU3BmkFzcAzwe8rIlER\nwwyZYl90btPMZysEMmoGjq51/9g8P+/GhNfktkGWgrfxZ3lPm8M59k5lASX2+WBkRgwRrQ14ZrAL\nJjRl3eup/v8HaZRpgMUuSEhahKH+kKl0ewRmmEMnJy/ttAd1hYukSWk+IqA3I4a0FkmAoVP/MCRB\nX4dMC843UjWOIfj/JORkXhRs2LRGk94opRybh6OI7K2D8f8J+Qtc7MN8AubZ1vEHvz8ASUrOJu4C\nYdchxM2TBBJ+ufep0L+LhVlAa+bzK3unVUgDOx9vHsw6/j0R0f5ycM89Yxjyo7mo9ZCoXYqk04EV\nxv08gi+fG44Jwab/w8b+qq3R74Crgt9X83VMQMLK7chnMN/6uxJvCmpEwZEXImDLEcHvq+3PVuMP\nvjsHmZyW2Dxca/+/uYZzNgEFQF6HF5r64FFyYxHS7B1b55eB37bhPPe1uUkzny0R81lh8zYN0ybK\nna8K5208Yg79kfb4ATrLtyIhpgGd7zeRWf+7VDjfts8fRSjEdwmS87q/RWdsLQFClhp8NijrxVMk\nk8PugZjPYoR4dILr3eiML0VaX6dCtTvtQV3lCghFE1JB77QNvIBAc7BFXIqI1JN2CBMpcTI+76e2\nwE6aDU0HY5A9+UZEtL6SHmfweRSSjKfj7cq7IQa0AmkQUzty/HYI3yTIhGD3XYqPJSQdqqGJK8sh\nv8XmPvT5jEbE6UMkpU9GxOUeJOlmri+DiMcLlEgEa/29QeB3QITTwWBHV+l7e1vbbwf3+uOZz0Wo\nLs4QhEZaQg2ZuZEmMQyhJVcgLc4FH2+NjwlbgQj4MgKfXLX5D8Z/UnDvBCTlz8RrKr1QWqU3gH+u\nYfw7I+Z7F5YdIHjuDAKzm63Ta9QGAY+Q1L4OEeyQ+ZyDBI978VVyn6UGhB9Ckb2Azttmdq8PElZf\nx/yrCDn3JGIYC4Pfl0JhHox8jx8gtOAlJJOJujIWLwL3p+bsB1TPxBAK2I8j4eUiFCv4MmKcIfMZ\nipjs+7aPXMxSu8u7ZJ7nznpQV7oI0F14CSwk3lfYJpuOz9U1GhGt08keMNbDNuxjKJYj9DdNtQO6\n2r5fYBv+puBv0rnqdkOq/93AaYiALEHxFgfVYfzDrf8ZSCvpi+zkf0AE4zw8kqwvQvr8LH0gKq0D\nMkOmmc87BKYxW6eJiMh+q1Kfqf4bbKzz7PdbItPMvcgMdTZeq/o4IugzSNrwy2orJIWJgTYfzfbv\noNTfXoz8FJvXMP5BSEqegWc+PfEgma/b5wHIlLKYKhDhCuPvhwh6S8VR/DnpgfwhVf00qf6HIoLn\n5nhkmfVtQAiumqL0kQB3FD7uzDGfZuC61D5zyNev1ND/BESYf4VZFhAT2j543sNI0LvU/v2fMn31\nwYMoHPO6BZm99rf9+U+I+TyDD+TeDh/mcXSGMYcC9j/gi+0tIMl8hiFmuNT26x/t/4Oyzk9HXJ32\noK52kXQO7hnc/6QtxDV4ycdF759lm+Z4MhYJQw73FYgZOCTZHih7wVrgdLu3BcrTtRS4sEJ/uyBG\nshhpN1eQDGjr6PG7iPdZiIC+bBv6fJIIpC8jDWU5yaDScrEMabv4TjZHb5MkTs4p3AdJjmdlHHdI\nPOci5r4cEb/XkVTsfBSTkSAwmzaATxDzuQRpuuemDzHSIm5GRLwmJy8iciOCzxfaWI8iyUAiBEF/\n1N4nRAFeTBXN0fZVM/APbt2CPgYjzajVviQ7Oq4PMgevBs6vtj/asAZb25o2E0Ck8QR3iJ2X79XY\n78523mYhi4DbV8NQdo0lKLSgweZwAal4wNQeD2lNT9ubryONfw1iUs5/PByZXVuyt9Sy9+3/l9qe\nDxGiW+CZz6n4lES3kyzbUfe0PXXtvKtfpSYYoa7exWsO4UE8xjZxMzUEAyKG8x5esjwTmbb+iqSy\nHdx47Pl/QUStXDS000RaJbKs0/g3R2aAFch3cD4e7eWYz1Kkyj+FouIvC36fxRz3bzauHwf3QgJ7\nATLbTLXPWUyIoTR4nM3NWcjk40yRk+3g/4UAIpvqp5rPZqit50Wk/EaI8B6NCO9/lxp7tf6Dv3PI\nsTl4whpqa1vZPDlo+zZI4FhPFc0REfDXgH8Jx2jr6/KKhaa04eG4Moy9J9L0S4YPtOeyc3O6jTFE\nHYb751REiI/IOubU/t8NCxpHzOwhxHxOxTOlBsQ0Nk2PL73eBMmPEfr2KJL+2y3xzOc75fZKtTm0\nvb8bSaTebHRev5c6I/2RsDQMr1XWFZpdt467y1WCGPwSSfoNBLEWyHE6jxKlADJuBOdb6Ikcp5fZ\n55nIHOScy+cjaT2TpBxsoKjO498S+ZCuoLXm8zpipgchjekIpKFdleUd3PMJIN0p4nG29XcdptXV\n0m+F76YgLfQvBFBYBD8eYe+XNYv2EMwcGdzrbfPzBoFN377bnGSwbRbncqMRj1YO+2CdnZY9Ckm0\ny0gBDcr0PQhp5b/GCy8DEeP+O0HiT2Q2vYuUmatK/wNt7LcioEaHStcI3Xdlmf3zVWTWeoAgoWl6\nbjM+pw8CIyxDgIOm9O9t/3yGwPdYan3LPRNp7a6UeuhjdILkAMSwag1P6IksI6+hmEI39hA0tZut\n7VN4xlo3TagunXbHC6+dnGYLNC5Y8LF4aeSHqd8dSAbHfvidHYQr7P8D8RBPd7AfxqvL4e8qJUCs\n6/jt+6G01nxeR3FV6YSRJyCnZ6uU8SX6TR+UMIDzHCRp3gFsm2WcJfoPg2rdoZqEmM/DJJnP2cgP\n8iESFMIEr7VAwEPm82e8g7eHEQKXaifUFKsxuQiZ0+a5ubD7Dal3G46YzyKSBe8qIpzwPsaH7b3n\nIe3pj/hM4h9BfpzVCDwzOPh9NSY0Hp+Es+Y6ODXMfSnmsxCfdqivrc8eJJFiVceELA/zkWbZkH6e\nfd4c+VUWAL+qNj/p/YwCUtcTVPMNntUfX3foF+HvEXCibHkPpN3cZ5fTiELg0K5IyHsXaXjb4QWa\numRMqMsG6G4Xss3eYAewCaFaHkKIpuPwMNifpH53iLufJgLlNhrSTC5EznFnKgmDAVfj4zF6ISh1\nSKRKFS5r7/h/mmX8we9cdP4rBMyHpBT4Y8RUR7VjXf4daT53YH6Q9GGtoa8+eH/SPnjmE0amX2Lz\ncQ0iXKcjqf1ZakMP9k7Nz6DwO/t3EEot8wJBRoxq/SNhYgXSdLcP7jvmsw3SMlzGgLMI0kRVW1/b\nS1chjfZOAu0JESgH+V+ICNlDZMiIEfTxUaRl1T3qHoFinkHSvEP1bYcQoq/Ye7xOKq0O8uWURIIh\ngXGenbcGktrDLrY+TtiYgoSna2oc98mIUScKziHmcxJiEPekfjPR1mRauTVG9OdGZAodSvK8jg/W\n9q+IPv3R+mxT5dZM71rvTdAdLuSUewS43j73QAijWfiy2GnN4dP4evQ3okqnmcpLI/SOQ6ltY/d6\nIyftqYhYNiLtxEV4hzb3tMbQ3vHfQlCptdwGDn47APmCFuCraoa+iP0RE5yNmXNSv8+SEeCriEn8\nlvYzn0ZkNrkNXx75zyQL7Tn0VDNwvJtnRLAWkrEkdmp+5uPNlWMQYXkMMQ+XYHQfBOz4dg39T0CB\nzb+zeXLCw7b2jittTx6J0kI9R+1pn3qRJK4TbQ6bbY8ORpL+gYjIV82I0ZkX8ru9jrRZp/mMRv6z\nxUiLm4oI+svAxfY3eyBgwPxy+xQx4g+Rv81pH2fiszrMw+pnIbP08wThChnGfiwSMj4S9D8YBTu/\nRxKifRxiSCuRQLV7mT7DLNrPo/CN/sH7OOZzMmJ0TUgYmYsEkUwFI2tep7w3Sle5bBFWImI8FWH2\nryEo6hT8ratIuBhJmD81YtASZ5PheS7Y8Dp8oGcvPBOYakSm2REQAgd9B43/DaS9XWkb8g3KBF+W\neN5IPIosZD6TEeN5D8vygDSmzUkWFMviPP0JPn6qXRKzzY8rb34lyfifgYiBz8BDqY8Kvr8FEfZa\nHNcj8cynL9IqmpGJ9U5EYBwC8gZq8JcF/R+LZ87b2BiXkcxc0ID8EW8Dh7Rj7hzzcVmnw0SzE0jl\nLSPnwmcobOBhvOazGdK8XiAZ+9SI4Mq3IWZ6D2IuX8wwJxcic+o/IqHmFyg4+N8QIOf76EwvIQgU\nzjD2JsTEHrT+9kLhHKtp7Us8Ep/c+IBKZwXv8+mFtPvetnbXEQCTSJ7ncxEdGlaXdcpzk3S1C5mw\nFiLJqRlJCmek/sYR73tIFrEagRjShZipLcPzxqIYgxsCYtWAGMhyJL19A0llx9i4ZnbQ+O8l6fsY\nh1LtjA/uZTE3pZnPQyg4cIrdG2IH81k7VGFRtYrp5ks9o53rOwDT2MJ3RD6T9/AQZIeoOtw+z6MG\nM1OJ505MHfDNENH6EAUY/gH4TRv6dVLt9ohJvkKS+Thz32hSZehreMY4xDSbMYSc3Q99B1sjSfwk\nkow7byYUanCjERO+OLjn/Kw74UEKiWzdlc4AnqBfZOfV+WE3QUxtDRIC15C97leYvPeHiGk6QfQP\nqb+dgoTOOQh+/xLV6wmFczIK0Z7VSNMZRJASyP7mYkowoErzUtMa5blBuuKFCOaeKDp/dOq7z+GZ\nz56p70YiSefHqfvVJP1+AaFoQsznVSS9jSdwFiJ/0OSOHj9JdE2a+NeStudPJJlPhBzxLyJzxQmI\nSZcNtu3ktQ6l+NmIGTTaITwdOYKvR1rFKeFvahk/Ajy8lSZCyHy2Dmmex5fpv5pPscmI1GqS/prQ\nEX+Jfb9jG+ZoODIrhVqDI5L9UUzZC9b/28jvF1ZW7YfMYRURW52w1sfZ3nexceH8fA1vfv2MW9f0\nWpSZ/wiVFHmWFMIOnxUjcxG+cH7t/5+1Pm5P/c1+iPn82c77Vsh3c0eWM4toi9NqXfXWNJhiBLIY\n3EuSRjia1O6zm9uG6E6XbbLJ+FokaebTH2kqq5AGchaCaGbOvWaE5FBklmsxHYQL3dYFrzb+YGNd\nihIZ3oZ8Ill9Wn3wyRX3S435SGRuGmOf90IphX6a6iNXRoS0tEcJmDa+tPEjwftsifxCLZmiM8zP\nMCxLAT4f4GaoIN8qlG8tlDr3Jgk8qUYIxwBnBp9D4noeYgyXUgbaX23uSYIoWpBfKADzTduvY1HQ\n9YFI8z4Zmae+bXOYOc1OndbYmSH3Jel83xef1uigYD+ETKDa/IyxeZiOgD0fs/d/B2mPJf0y1fak\n21sE2UXs3hQk0PwZ2Cu4PxRl9KiW0DXUar+OfMgPEBSMxCcifg0PhhiCUKLzqj0j83vmuSm602Ub\n4WICs5vd74OQJyuQyez7CAp9F8oMkEnyQ36CZ+w3rWp41GP8eEl2TwQaWI60o9vt89NkRMAgM4bL\nsLtZcH9vxHC+ZZ/7Ie3iCntnd9Ac8KJTzTYknbPzMVg2Xiv9fDBPZyAtdzUSNG4gI0Qb7/O7E8Ud\nuYwSs0gyn4lIo3iDQGOp1n/wdyGE/TwjVNfiBYBNkLQ8gQAgUqn/YI1aTMv2e1dgLRx/I4plOx+v\n4V1GyvTZ2RcCaLyKfCmuQOSRSPNtBj6betdBqfeqtr7j0Zm/ER/sfQ9tYD6VnomEn7eQtWGvNvab\n0GoRbZhre/ondjZdYUhnlt4UCRwf2J4tTHCddZXbfPgo9zftIIZO9nFI6j0z62IhqaNmM0lbxo+X\n3l1cQzNJE84YJGH9Livxs9/1Q07NU4J75yCn7Ej7vBWmhSG/wVYIyDEbEfVMQI6Onh/EhH6PnL8/\nImC+CLm2HjHnE+ydHiHFpCutNZJQD0Ka1jpaaz674xnTQvs+cymE1LPOwTMf55sYhXx0y+0ZT5LM\n3VdL/xcgJukgx6Fv4TRbb5fBu6bg4Tqu80Sk7TyE13qasYSgyCl/mO3BZYjIh2eiGjp0E2RudcjY\nj3Xw+BuQX+h9krkfa2YG+Hi+cO/fgkxuDiXn0IP9EfJxHQLTtLLItGUMcVwwoPZshn7I0bgC4eWd\nbbnFPmrflc3rluPYw+DWy5Ckc4UR2C/Z/SYk8TzlCGwN8/JLRKjH4CXKR5H06VLIREjKbEZpQd5B\n+dLmIC0jc9brDpqTloh2VL/pyGDsp9jcnEoQcIuk0Qdt3D1Imm1KMlFkevtfJB2nmc9yxHi+iQAl\n02wuZtT4Lmfg45lcEbWdkGa1FDHQA5CZ6CUqAFsqPOMmpPH3Su2nLfHmnR8TJF9tK5Hq4HXeFFUm\nXo5AIK6GUx/kA1yB15Sus/mflfUd8HWOMtf5qnH8J9v4xrazn1CrDct7D7U96r7vi2pFpZlPmNA5\nkym65Djy3hDd9UKSrEOTOeYTEqBzkaTikFS5+TiqvMctGAILSa5hQsrjbeNtXWOfY+zgXmWbuQ9i\nLLek/m5nFMy4Fphv9/qh9PFfyGEuSuUGdCURfkcqpskO3xEIqBBWeL3U5rJkSWUEmU4zn1eRbX1y\nah+dYsRybEg0qrzHWJRtwGk+A5F5dz3SihxT6ot8Fq9SQwVde+/LkXCyZXB/s2APXUQZ6G7eZwFp\n3G+5PYaEDmfJmI3P8N6AYtpeoUyC0TL9162mDj7Q/LH0fmxnv+kcc26vTTU69ktaM58Gm7c7Sbka\nsq5xbpugu1+2EVps2ymicToypdxSjnjnfQiDcfwauNWNCQ9B/gFyTLagakhKulmKqi1HDHqe/f/n\nwebdBdmSXUbv14Df23edWhSrynuMsAN4cup+S+415BTuj1BILqDvVDJocQiUscQIyhRohYK7CplE\ndkrvvyr9hjDpKUZEj0XaWlheelMjvJlr/djvdkRa6wzEhD+LNK71KNNACFwYheJyhmQdfyesa//U\n5weQhtiSs9HtRRRwfXkX2IstuduQBjqpzs9rRILjXDygKmQ+h9veXJta25HI/1c1n2WuE9pdr/Th\noTXzWYIke3fIBxkhm4piNnqW6iendzkZSVS7Bfe+b0Q0URYYSdK1JOgcjZzR1yIfjzvcuxohXIkv\n7z0R+V1CAEOucSQ2hsHI1HR+CeYQajE9ULzHGnvXLCmNNkGayQvId5DI+4fPtbccZcSYTpW0TGWe\n88+Iibp9dxNiQsORIPABQSXgGuZmPBIifov3p1yKzxs3GjHQ5fiM42EcWG7rixcgGpGw9CHwVbsX\nogiHGJGdTiobQB7jx5v4I+qYT8+e4cITZpEUaBzzeQkJ2i5L+JG2n55GYJ4dqj4jrw2wIV5GuBcj\nqd9FYO+AfERv2gF9Edn/nZqftyToEDB/NcbgiNQJWHoYZFq5ClVZXGgEzDneqzlm02r7BDzzOSPL\n+HKenwj5AhYYQXWEq4Gk4HGtre9LKAloqyzJZfrfDqXjSRTBQ1qF89kcjOC1n7H+r67xHT5iRGES\nyfLSbyHwzIsY1LYN89MbSbvNyOy8RfDM21CamJNRHM5ppHwqXeFCZtblJDNPu3U+2t7ta8F+OD3v\nPdlZz0Hm5SexjCR2f5rtmSV45tMLMZ1m2//7k8UCkPfibygXvo773Xjb+2gjIH83gr6Dbej7kUSb\nd3BeiICZjSTUMwjKCqA4iaeMYVyHfAtPEEDMKx0IklL9RDxMNZ2hYSxyvv8eMbsT0+PMYX5CiPYT\nNj9fpHXZBZfK5FwEHngQaTYlfUDVnomYjzvg2wTfNaI4jGcIitRl6HMLG/8MPGqtL55p/kut40z1\nvxNCxYWw7put7/eD89Ab+bheoYbUNJ2wzoOwpKqY38rm5wsIrnwbXoA6E2lze+c13k6ak3DvP46A\nJTPx2m6L5mN/ty0Kxl2FmLlL01Uxh1zuL7qhXEiTuAQPXRyMYJwrEWM6yu73QprGs3SBBI4E5jSU\nw+osPETa1bt/BmUxdlLhGGQz3z24V03S74nSDrUKSkSxQo+j+JqnkM/oFZIR9bkgqEgy6euRM/aA\n4HtHxM/D+wO3QoHINUHqEfOZZnujhfmQNAn9t+2pmhzQiDGuRH6ave1eP6w8dAfMU6jBTTIi/TXg\nNyTrXQ0z4pW5tHonrbPLpXgfEpJcYPWdwEftb8Yia8HNtK56m7u5uA5zEiJDD7H932z7c1jwdyOR\nZeQlVFb8fgTRH1D1GXm/5IZwUUJCR/b1xcgZ7WCxRwffvwBclPfYbSxhZHiI5vovFD2+u30OtZkZ\ndlAfIaOkjxzX303dG4+0wb/h09EMQGap5WQswd0Z64vljQvuuwSj56UZQqk9keE5/ZGm8j4+Y0IY\nX/OPiElfZJ9rArLYXM9BwJJv1HG+DjViPgoxbld00THoNQQabql9mNM6j0NC0lybp9NShPYS3c1f\nugAAC31JREFUlDPQMdMmaqiH1B2vFG2YYWsXhiKMMOazCGXY74H8ZjOBaVX7z/sFN8TLCNUUI05O\niv2Bff4iXgpslYK/LYSro8acGv8AFLtzI5SMGZiFEE8LCCp71vA852u6kBQKC2kCjQhFeGtec5Ia\nbxqmup8xg5/hYfgtFWjb8ZzRGHIyxXymIanyXiqYf6oRQaSdHUaQDbwOc7Ur0po/YZ8HIJ/TSmQV\neI4k6CXMTJ5rrBAW10Tr0upfQGCNk4N1+gYCKNScSLY7XcH5byIZ1zXEzv8i5J8MNfU+ZIgfzP3l\nNtQLBeQtQFmsnf34dGSOm4skKZe6pgk5mnP1CaXG3wOZ36YH9xzz+aS9x72UiB9JE+sqz3ieZKBf\niLa5hxJ5p/ImUjaGKcY4D6/HuMownwdIFtCbhnwSpxIkOqU6OrGu84dAK48i85tjzn2R+dLV0XF7\n6VAkmIWZM3LXJEiaFLdFAte9CDQyGWn+DnL/NBUqkW4IF0nAjfMP3Wf78lP4zOK1aeV5v9iGeiEp\nfhZCl4XoKQdxdgizHviMCrcHv89LExqK5ZhC0NNn8Ii+BmQLXo0c8iEx3BQ5ozNDzJG0+TcsxiK1\nyScjCPKMoM9QwsrbXNOIUD9zqDFQt8bnHIv8YQ8AB9q9QcjOvgoxwReQzyisrJp3sOeuyOx2Nd6E\n2wdlmXDE6lBkZn3T1vljwe+7AhNyguMX7Hxej4+TOxfFAb5LiZxseZ3fTpybLZDf9lp83sSa91zu\nL7IhXiQRJC7B5aH4YC6XDLHJmM9T+BiKQ8iYhbpOYz8MIV5GIuDAo4iJXovS66wz5hM64l0ZCWcy\ny5qgs5f95i6S8T8fQ2i4D/AO4IHIJv/z4O/yAiY4wtQT+WxOq8da4SurPkGydtP9tl/OCeZmf2TW\nvSKPOSkz/l2RBns/Fk+GF8Q+j89Jd5P9zRzgrrzHnXqHQfj8fHegkIrPI0HtTlKVcoEv5z3mTpqX\nyM76Y7Qj0WzuL7KhXiTRUzcjdfUSLMofH2i4GKVC+SEKdrzHGJJjVp1KZJHj+EWElgqzZc+wQ3gf\nyUSI7n2aEPO8D5kk3PirZUzYGUXU34HiRS6w36/BpzEahGDszyFJNDTT5aUpuoDARizTdJ2eMwLY\nN/h8HpK6H0Kaw7Z2vzdCMT5Cxqq2nTRPwxGsfF+8YPZp2/OPYJVHEQBjCvIRdWgSzw6Y/2aUnPTr\nWMkCpJnOR0jQ3kgAcJm1j8pzzJ0wJ6GA/TKCZrcpd2PuL7MhXwEBb0Ap/sfbZ5fw8mUEXRwR/GYM\nirH5r2rEu47j3g2h3+4yxnguPsbp4ODvvoFiJG7AI9iGGhG5PitzQOisPyJn5ht2kF057/7GfFYY\no3oemXVqCsas0zx1+vqg1Em32zzPRDFmY+27E5F5dHhnj6vKmFvAGQHzmUOqRLidi5G0IX6qzuMf\nQTK10GDbp6ch0/MMe6fHUJLXoXmNtRPnJBSwv0QGyHXJfvJ+kQ39ImXLDhZsEUGpW5L+jQeM2Kd/\nO4QaMlO3c9w7o1iIFxF66SKS5bq/h8xxc5ApYhGWVRkFlM6nhG24HFNCMSnD7HJZIpzm8y4yA34c\nBbO6NCAXVOt3Q7uQhuySxw4wJvQmQuXNRIy8Q4qF1WHsn0KCzOyQ+eTByNvxDj2RdeBl2+dvILDR\neXmPLYe5aPeZy/0lNrbLJKQ1qOCTYz4h4mkSso1fZp/7mWQ4yiStU6gSXdyBY+2H0EvDU/e3ROCB\nO5Ek3mDjXmpE0BXoG5n63SSEChyU4dkDkET/rjHkECbeZPO4HclMAbmj4zphTc5CdZpGBGv0a3wu\ntu/nPcYKYx9jDPSzwb1uw3xsvFMRuOJtm+/LgQnB9xuFINRh85n3ADa2y4jnLKx4XYr57I3MXovx\ndUoOQKld7rYN/6kcxpxOwrkp8seEiSUjFMjnct79IvjuRARumG/vUrHiqzG979lBfzA1d6E2tQcB\notDu5Y6eqvNa7IDMPb/E5+Hqi0yeV+U9vgzj7xv8v1sxHxvzSCQg/olUAtfu+D55X7kPYGO60tIR\nSbObYz4rgGOD+59AkfHr8HV6OkUDqvAeDQgBMw/vlB2IgtHeRci2nYK/fwD5Jv6PDHV+kI19KVYj\nyM0dyeJX++Krbl6KQZRLzfOGduHLYc8EjrR7oSDT5TXB7kyskSl82+403131co7BouXYoijaG5lW\n9kB50q62+xOA/0AIm+cQ2maPOI7fjqKoIY7j5hzG2hDHcXMURT2QNgOq5bM1Ai/8BcVKPBLHcRxF\n0f4I/bcD8E4cx8Osn15xHK+p8JyRcRwvsv83oawLDXEcr4+iaD8UFLgWQXj7IEfxsjiOD+/od+6K\nLYqiHRHqbS3SfP6a85A2yhZFURQXRLTtLW8OuLFfqH7GXETEvxbcn4h8LO+jYl+boXiiV6lzHZAM\nYw6TFO4FXIk0kdsIgvKQvXweQq59C9n/F5HBBxT00UhS89kPH4t0iN3bBGmQK4GT7N4GL5UihGDd\ngmCLq7jqfTV0LDsrWhva0whJc17sNZ+JKN7jEyih3+1xHL+J8sidEMfx2txGC8Rx/GEURY1xHK+P\n43gOSlUyHxViewQgiqIDUVzTQODsOI5/hkpWPIGSamZ91nrETNZHUTQZaT5zUSG7P9jfrEamy3WI\nGRHHcWzjaOyAV+6SLY7jVXEcL8t7HEUrWltbYYLLsTkiHqrxURQNRlmWPwl8JY7j33ZVNd+Ny4j8\nmDiOn7b7U1BA6SAUrX+93e+BtLf3Uv1UNSdGUfRxBN99CGXIfiD4rjdwFEps+jgqWbAujuPb7Pum\nOI4/7Ih3LlrRitZxrWBAObc0c4mi6HPIwf/VOI6v6arMxzXHRIPPAxFC6+PAd+I4vtHubxLH8eoo\nilxFzrEolmdlHMfrqjGJKIp2Qr6kC+I4vje43wvFl1yONKC77d9JwLNxHH/J/q5Lz2PRirYxtqa8\nB7CxtxJEcSBKwvlime+7VAuZT9B2BO4uwXx6Iua0D4preh54NoqiaXEcr6rEhOI4fjqKos/Hcfy+\nu5diPq+iekvPGmhhCnBzFEXHxnE8vavPY9GKtjG2wgfU9dqvURzQf0ZRtHXeg2lDW4Xg1jtFUbSV\nMRXHfO5HfqxbUbbry5A2NDeKon7VzGQp5rMJMlNejuIyPmfMp9H6mQfEqP5N0YpWtC7YCgbUhVqg\nAUwCNkexLt2mBb6cI1Emg18Avc3sNh0lNW0A/jeO44dQTrdvIgTdiTU+7kBULG8JYj7LUubAf0VZ\nAua387WKVrSi1akVJrgu1Axd1iOO47VRFO1QzTHf1Vqs+KAm8+nsimDlq6Io6o+CJ69AUOnpURR9\naOCEv0VR9DbyCdXSnkP54f4pjuOlIfOJouhbKFHqXQh1V7SiFa0LtoIBdbFmxDvqbszHNWOiTXEc\nr0PxQaAg1HGIWcyLomgdcG0URWuQOW4gMqPV8pznoig6KHjeh9DCfL6LMimcWcCUi1a0rtsKBtQF\nW3d3mJfw5fwf0kT2jqJofhzHP4qiKEYlm+9GSUUfb+tzAuZzPGI+y4AT4zh+su1vUbSiFa3erfAB\nFa0z2rsoe/Y0hH4jjuPzgR8gFNvVcRzPBMGl2/KAKIqOQ4GvixHzqZmhFa1oRevcVsQBFa2uLZU7\nbh5iRmcDD8dx/H4URfsAc8302Ob8dlEUjUaoun+P4/jRjhp/0YpWtPq1ggEVre7N+WiMCd2M0GlP\nA6dYGp2Oes4mHdlf0YpWtPq2ggEVrVNawIQakdntnTiOH6z2u6IVrWgbbisYUNE6raXT9ti9IkVO\n0Yq2kbaCARWtaEUrWtFyaQUKrmhFK1rRipZLKxhQ0YpWtKIVLZdWMKCiFa1oRStaLq1gQEUrWtGK\nVrRcWsGAila0ohWtaLm0ggEVrWhFK1rRcmkFAypa0YpWtKLl0v4fCC2E4z3RAdEAAAAASUVORK5C\nYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10dcf7a10>"
       ]
      }
     ],
     "prompt_number": 41
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "These two subplots show the proportion of transformations in the data. The top graph shows, for all stages, what percent correspond to each transformation type. The bottom graph shows, for each query, what percent contains at least one of each transformation type. The most common type of transformations in this data set are **Augment**, **Filter**, and **Aggregate**. We will look into these categories in more detail in Step 6."
     ]
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Step 5: Understanding workflows via Markov diagrams and common subsequences"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Next we'll look at the distribution of sequences of transformations in the query data. We will do this by tallying how many times stages corresponding to one transformation type are followed by stages corresponding to another transformation type. We use these *transition frequencies* to create a Markov diagram that summarizes the types of analysis pipelines represented by the query data. "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "lupe.statemachines.compute.markov_diagram(db, \"figs/example-fsm.png\", \"scheduled\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Unknown command type: typer\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Unknown command type: typer\n"
       ]
      }
     ],
     "prompt_number": 42
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "IPython.display.Image(\"figs/example-fsm.png\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "png": 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ybNky6dGjh9y9e9dkCDh9+rT5AF8jvzV7QESbBg588skncubMGblx44YcOnRI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BiQSOWIdUKgT4/1vp7Pq5LHNaG0Qr1eH1OIqAIpBgBB555JGUVStIuz64dW/msw0ip2ypnZTN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Oigg3J7nkmcmBIKkkBR96EIpBQBSh0QCMFBt95666W0leloFi/2jz76SMtDpONyaCtaHAEc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\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32g4F6dKlk2nTpknFihVVXWL37t1JGp6cdy7sXLZsWU2LBaWqQYMGJShv48aNAoXo1Brf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\nnj1dZuLQvfzkyZO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eiD7PlSuXOgrAWQD/4FSAXNH4h+czOB9gGQx5sjHRjchU/MOEM40E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       "prompt_number": 43,
       "text": [
        "<IPython.core.display.Image at 0x10dcda4d0>"
       ]
      }
     ],
     "prompt_number": 43
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We can look at not only this diagram, but compute some of  paths through this diagram and rank them by how often they would be traced through the graph were we to travel paths through the graph based on transition frequencies."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "lupe.statemachines.paths.compute_top_paths(db, \"scheduled\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Unknown command type: typer\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "ERROR:queryutils:Unknown command type: typer\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
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        "Start Filter Filter Meta End  0.000631874123695\n",
        "Start Filter Aggregate Transform End  0.000603262256665\n",
        "Start Filter Transform Augment End  0.000587818742894\n",
        "Start Input Filter Aggregate End  0.000545256270447\n",
        "Start Filter Filter Rename End  0.000514067083684\n",
        "Start Filter Project Rename End  0.000479086187457\n",
        "Start Filter Transform Rename End  0.000441710669287\n",
        "Start Input Filter End  0.00041439476554\n",
        "Start Filter Filter Reorder End  0.000263280884873\n",
        "Start Filter Transform Transform End  0.000246439049531\n",
        "Start Filter Transform Window End  0.000241304902666\n",
        "Start Filter Rename Augment End  0.000236822357355\n",
        "Start Filter Filter Transform End  0.000215106084662\n",
        "Start Input Filter Cache End  0.000185387131952\n",
        "Start Filter Project Output End  0.000174482006543\n",
        "Start Filter Reorder Filter End  0.000153918055772\n",
        "Start Filter Filter Filter End  0.000148640865288\n",
        "Start Filter Augment Transform End  0.0001447829416\n",
        "Start Filter Join Transform End  0.00012828868243\n",
        "Start Filter Project Window End  0.000116321337695\n",
        "Start Filter Rename Transform End  9.81579265082e-05\n",
        "Start Filter Project Project End  9.66361882392e-05\n",
        "Start Filter Project Transform End  8.90971948305e-05\n",
        "Start Filter Filter Augment End  8.84623773173e-05\n",
        "Start Input Filter Meta End  6.54307524537e-05\n",
        "Start Filter Filter Project End  5.83268421873e-05\n",
        "Start Filter Augment Window End  5.67066521265e-05\n",
        "Start Input Filter Rename End  5.32317986064e-05\n",
        "Start Input Aggregate Rename End  4.31276146116e-05\n",
        "Start Input Aggregate Aggregate End  3.89429026949e-05\n",
        "Start Filter Project Filter End  3.78875214208e-05\n",
        "Start Input Aggregate Reorder End  3.21278947233e-05\n",
        "Start Input Filter Reorder End  2.72628135224e-05\n",
        "Start Input Filter Transform End  2.22742987076e-05\n",
        "Start Filter Reorder Augment End  1.98473282443e-05\n",
        "Start Input Aggregate Project End  1.77939109237e-05\n",
        "Start Input Filter Filter End  1.53918055772e-05\n",
        "Start Input Aggregate Output End  1.28511578893e-05\n",
        "Start Input Aggregate Augment End  1.15146374688e-05\n"
       ]
      }
     ],
     "prompt_number": 44
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Step 6: Creating second-level categorization via clustering to understand sub-tasks"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Lastly, we'll look at the differences between different types of **Filter**, **Augment**, and **Aggregate** transformations, by featurizing stages of each of these types and performing cluster analysis of them.\n",
      "\n",
      "The clustering code in this part outputs not only static graphs, but also data that you can explore using an interactive JavaScript-based visualization tool included in the [lupe repo](https://github.com/salspaugh/lupe)."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Cluster augment stages.\n",
      "lupe.clustering.run.run(db, 9, None, \"augments01\", \"augments\", None, \n",
      "                        \"figs/example-augments-clusters\", \"figs/example-augments-features\", \"figs/example-augments-mouseovers\", \n",
      "                        None, None, 129, True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Beginning execution.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: source = <queryutils.databases.PostgresDB object at 0x10deddf50>\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: pipeline = 9\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: nclusters = None\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: featurecode = augments01\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: clusterees = augments\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: clusterer = None\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: outputclusters = figs/example-augments-clusters\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: outputfeatures = figs/example-augments-features\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: inputfeatures = None\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: pcadims = 129\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: normalize = True\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Fetching data.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 0 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 10 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 20 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 30 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 40 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 50 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 60 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 70 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 80 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 90 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 100 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 110 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 120 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 130 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 140 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 150 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 160 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 170 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 180 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Time to fetch data (seconds): 0.374235868454\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Rows of data fetched: 78\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Computing features.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Time to featurize (seconds): 0.17027592659\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Number of features per object computed: 129\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Normalize.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Time to normalize (seconds): 0.307312011719\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Writing data.dat\n",
        "Dimension of projection : 2 \n",
        "Perplexity : 50 \n",
        "Landmarks(ratio) : 1.000000\n",
        "Platform detected : darwin\n",
        "Calling executable \"tSNE_maci\"\n",
        "Reading result.dat"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Clearing data.dat and result.dat\n",
        "Reordering results\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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Vq1czZMh4Ll8e9ltZRMRk9u3bym233eZWHTabjWHD7mfp0iUoBR06dGLRovl+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\nhHCbJA0hhBBu+3++6q+oAaTH8QAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10ddf5b90>"
       ]
      }
     ],
     "prompt_number": 45
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Unfortunately, with this data, we don't get very nicely separated **Augment** clusters. You can experiment with different parameter settings to see if you get better clusters. You can also output the stages corresponding to the feature vectors being plotted above, as shown in the commented-out code below. Currently these lines are commented out because they outputs a lot of text."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Print unique Augment stages.\n",
      "#for stage in db.get_unique_augments():\n",
      "#    stage.print_tree()\n",
      "#    print"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 46
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We do the same things for the **Filter** stages."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Cluster filter stages.\n",
      "lupe.clustering.run.run(db, 9, None, \"filters01\", \"filters\", None, \n",
      "                        \"figs/example-filters-clusters\", \"figs/example-filters-features\", \"figs/example-filters-mouseovers\", \n",
      "                        None, None, 28, True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Beginning execution.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: source = <queryutils.databases.PostgresDB object at 0x10deddf50>\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: pipeline = 9\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: nclusters = None\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: featurecode = filters01\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: clusterees = filters\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: clusterer = None\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: outputclusters = figs/example-filters-clusters\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: outputfeatures = figs/example-filters-features\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: inputfeatures = None\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: pcadims = 28\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: normalize = True\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Fetching data.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 0 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 10 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 20 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 30 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 40 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 50 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 60 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 70 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 80 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 90 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 100 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 110 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 120 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 130 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 140 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 150 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 160 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 170 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 180 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Time to fetch data (seconds): 0.486416101456\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Rows of data fetched: 145\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Computing features.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Time to featurize (seconds): 0.0643560886383\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Number of features per object computed: 28\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Normalize.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Time to normalize (seconds): 0.307312011719\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Writing data.dat\n",
        "Dimension of projection : 2 \n",
        "Perplexity : 50 \n",
        "Landmarks(ratio) : 1.000000\n",
        "Platform detected : darwin\n",
        "Calling executable \"tSNE_maci\"\n",
        "Reading result.dat"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Clearing data.dat and result.dat\n",
        "Reordering results\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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A5U1MTHUWLPiatLR6gB8BAfupWTP3+Xr+/e93SEwcxE8/TSUgIJCxY8fSq1ev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\n6NAhmTVrlixatOiys49ezp9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g9dcnUrx48Tz/bLRbn04MN4Fevfowbdpytm+vzoIFZ4iN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\nN/8PATCVMCzuCDEAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10df808d0>"
       ]
      }
     ],
     "prompt_number": 47
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Here we get much nicer clusters that we can explore and label using the interactive cluster labeling tool in the [lupe repo](https://github.com/salspaugh/lupe)."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Print unique Filter stages.\n",
      "#for stage in db.get_unique_filters():\n",
      "#    stage.print_tree()\n",
      "#    print"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 48
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Lastly we try this on the **Aggregate** stages. Here too we get nicer clusters."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "lupe.clustering.run.run(db, 9, None, \"aggregates01\", \"aggregates\", None, \n",
      "                        \"figs/example-aggregates-clusters\", \"figs/example-aggregates-features\", \"figs/example-aggregates-mouseovers\", \n",
      "                        None, None, 40, True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Beginning execution.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: source = <queryutils.databases.PostgresDB object at 0x10deddf50>\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: pipeline = 9\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: nclusters = None\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: featurecode = aggregates01\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: clusterees = aggregates\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: clusterer = None\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: outputclusters = figs/example-aggregates-clusters\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: outputfeatures = figs/example-aggregates-features\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: inputfeatures = None\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: pcadims = 40\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[run] - Parameter: normalize = True\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Fetching data.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 0 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 10 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 20 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 30 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 40 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 50 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 60 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 70 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 80 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 90 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 100 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 110 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 120 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 130 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 140 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 150 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 160 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 170 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:queryutils:Returned 180 unique stages.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Time to fetch data (seconds): 0.527362108231\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Rows of data fetched: 112\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Computing features.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Time to featurize (seconds): 0.099583864212\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Number of features per object computed: 48\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Normalize.\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "DEBUG:lupe:[pipeline] - Time to normalize (seconds): 0.307312011719\n"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Writing data.dat\n",
        "Dimension of projection : 2 \n",
        "Perplexity : 50 \n",
        "Landmarks(ratio) : 1.000000\n",
        "Platform detected : darwin\n",
        "Calling executable \"tSNE_maci\"\n",
        "Reading result.dat"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Clearing data.dat and result.dat\n",
        "Reordering results\n"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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Wq5XBg4fx3ntvZ1t+/PjnOH7cjMn0KmBkyZKVtGnzA2PGjMnrpRZYnz59eP/9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\nekSpyCVKNyyUi9q1axdf+tJNNDWVAXnk5Kzn298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       "text": [
        "<matplotlib.figure.Figure at 0x10e2f1b50>"
       ]
      }
     ],
     "prompt_number": 53
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Print unique Aggregate stages.\n",
      "#for stage in db.get_unique_aggregates():\n",
      "#    stage.print_tree()\n",
      "#   print"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 50
    }
   ],
   "metadata": {}
  }
 ]
}