112 lines
3.1 KiB
Python
112 lines
3.1 KiB
Python
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#! /usr/bin/python
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import sys
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from tabulate import tabulate
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import re
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import os
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import json
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sortkey = []
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ifile = ""
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cache = True
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argc = len(sys.argv)
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first = 1
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i = 1
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while i < argc:
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if sys.argv[i] == "-s" or sys.argv[i] == "--sort-by":
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i += 1
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if len(sortkey) <= 3:
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if sys.argv[i] in ["max", "occ", "avg", "sum"]:
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sortkey.append(sys.argv[i])
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else:
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print("ERROR: Unknown key " + sys.argv[i] + ": Aborting!")
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sys.exit(1)
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else:
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print("WARNING: Too many sort criteria given! Will ignore last argument.")
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elif sys.argv[i] == "-n" or sys.argv[i] == "--no-cache":
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cache = False
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elif sys.argv[i] == "-h" or sys.argv[i] == "--help":
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print("usage: analyse-run-time.py <log-path> [OPTIONS]")
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print("Showing, how long certain tasks took")
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print("")
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print("OPTIONS")
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print(" -s, --sort-by Sort by key. Can be specified up to 3 times.")
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print(" First key has highest priority")
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print(" Valid keys are:")
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print(" max (default) Maximum execution time")
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print(" avg Average execution time")
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print(" sum Total execution time")
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print(" occ Occurrences in the log file")
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print(" -n, --no-cache Doesn't read and write from/to cache file")
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print(" -h, --help Shows this help and exit")
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sys.exit(0)
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else:
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if first == 1:
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first = 0
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ifile = sys.argv[i]
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else:
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print("Unknown option " + sys.argv[i])
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sys.exit(1)
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i += 1
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if len(sortkey) == 0:
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sortkey.append("max")
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from_cache = False
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if os.path.isfile(ifile + ".cache") and cache:
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read_src = False
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from_cache = True
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with open(ifile + ".cache") as json_data:
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tasks = json.load(json_data)
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else:
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read_src = True
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if read_src:
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times = []
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try:
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with open(ifile) as f:
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for line in f:
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match = re.findall("SpawnPoolWorker-\d+ root INFO +Time used in seconds for (.*): (\d+\.\d+)", line)
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if match != []:
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times.append(match[0])
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match = re.findall("SpawnPoolWorker-\d+ root INFO +(Reading OSM .* data for \['.*'\]) from db took (\d+\.\d+) seconds.", line)
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if match != []:
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times.append(match[0])
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except:
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print("err")
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sys.exit(1)
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tasks = []
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for time in times:
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found = False
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for i in range(0, len(tasks)):
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if tasks[i]['name'] == time[0]:
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tasks[i]['occ'] += 1
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tasks[i]['sum'] += float(time[1])
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if float(time[1]) > tasks[i]['max']:
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tasks[i]['max'] = float(time[1])
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found = True
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break
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if not found:
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tasks.append({})
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tasks[len(tasks) -1]['name'] = time[0]
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tasks[len(tasks) -1]['occ'] = 1
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tasks[len(tasks) -1]['sum'] = float(time[1])
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tasks[len(tasks) -1]['max'] = float(time[1])
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for task in tasks:
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task['avg'] = task['sum'] / task['occ']
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if cache:
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with open(ifile + ".cache", "w") as f:
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f.write(json.dumps(tasks, default=lambda o: o.__dict__))
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if from_cache:
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print("Data from cache used")
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i = len(sortkey) - 1
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while i >= 0:
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tasks.sort(key=lambda tasks: tasks[sortkey[i]], reverse=True)
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i -= 1
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print tabulate(tasks,headers="keys",floatfmt=".2f")
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