Different examples of parsing Nagios performance data output with Python

attempt1.py

output = "HTTP OK: HTTP/1.1 200 OK - 16499 bytes in 0.019 second response time |time=0.019284s;;;0.000000;10.000000 size=16499B;;;0"

# first split on the pipe
perf_data = output.split("|")

# each data point separated by a space
for p in perf_data[1].split(" "):
    result = {}
    p_values = p.split(";")

    # first key/value pair is required
    key_value_array = p_values[0].split("=")

    # key is first, data is second with UOM
    result['label'] = key_value_array[0]
    result['value'] = key_value_array[1]

    # get the rest of the values, if they exist
    if(1 < len(p_values) and p_values[1].strip() != ''):
        result['warn'] = float(p_values[1])

    if(2 < len(p_values)  and p_values[2].strip() != ''):
        result['crit'] = float(p_values[2])

    if(3 < len(p_values)  and p_values[3].strip() != ''):
        result['min'] = float(p_values[3])

    if(4 < len(p_values)  and p_values[4].strip() != ''):
        result['max'] = float(p_values[4])

    print(result)

attempt2.py

import re

output = "HTTP OK: HTTP/1.1 200 OK - 16499 bytes in 0.019 second response time |time=0.019284s;;;0.000000;10.000000 size=16499B;;;0"

# first split on the pipe
perf_data = output.split("|")

# each data point separated by a space
perf_order = ["value", "warning", "critical", "min", "max"]
for p in perf_data[1].split(" "):
    result = {}

    # find all the numeric values
    p_values = []
    for t in re.finditer("(=|;)[+-]?((\\d+(\\.\\d+)?)|(\\.\\d+))|;", p):
        p_values.append(t.group()[1:])

    # get the rest of the values, if they exist
    result = {perf_order[i]: p_values[i] for i in range(0, len(p_values)) if p_values[i].strip() != ''}

    # get the label and unit of measure
    key_value_array = p.split('=')
    unit_of_measure = key_value_array[1][len(result["value"]):key_value_array[1].find(';')]

    # convert values to decimals
    result = {k: float(v) for k, v in result.items()}

    # set label and UOM (if available)
    result['label'] = key_value_array[0]

    if(unit_of_measure != ''):
        result['uom'] = unit_of_measure

    print(result)

final.py

import re

output = "HTTP OK: HTTP/1.1 200 OK - 16499 bytes in 0.019 second response time |time=0.019284s;;;0.000000;10.000000 size=16499B;;;0 'RAID Status'=1"

# first split on the pipe
perf_data = output.split("|")

# each data point separated by a space
perf_order = ["value", "warning", "critical", "min", "max"]
for p in re.finditer("(\"[^\"]*\"|'[^']*'|[\\S]+)+", perf_data[1].strip()):
    result = {}

    # find all the numeric values
    p_values = []
    for t in re.finditer("(=|;)[+-]?((\\d+(\\.\\d+)?)|(\\.\\d+))|;", p.group()):
        p_values.append(t.group()[1:])

    # get the rest of the values, if they exist
    result = {perf_order[i]: p_values[i] for i in range(0, len(p_values)) if p_values[i].strip() != ''}

    # get the label and unit of measure
    key_value_array = p.group().split('=')
    unit_of_measure = key_value_array[1][len(result["value"]):key_value_array[1].find(';')]

    # convert values to decimals
    result = {k: float(v) for k, v in result.items()}

    # set label and UOM (if available)
    result['label'] = key_value_array[0].replace("'", "")

    if(unit_of_measure != ''):
        result['uom'] = unit_of_measure

    print(result)