Apache parsija täielik näidis
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#!/usr/bin/python
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# encoding: utf-8
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"""
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Parsi standardsisendist Apache logikirjed ja kuva edetabelid
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Käivitamiseks: (cat access.log; zcat access.log.1.gz) | python raport.py
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"""
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import re
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import sys
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from collections import Counter
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from log_parsers import ApacheLogParser
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hits = Counter() # IP-d kust tuldi
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urls = Counter() # URL-id mida külastati
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agents = Counter() # User agent mida kasutati külastamisel
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for timestamp, log_entry, stack_trace in ApacheLogParser(sys.stdin):
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urls[log_entry.get("path")] += 1
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hits[log_entry.get("remote_addr")] += 1
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agents[log_entry.get("user_agent")] += 1
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print "Top5 külastatud URL-id veebiserveris:"
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for path, count in urls.most_common(5):
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sys.stdout.write("% 9d %s\n" % (count, path))
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print
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print "Top5 külastusi teinud IP aadressid:"
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for remote_addr, count in hits.most_common(5):
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sys.stdout.write("% 9d %s\n" % (count, remote_addr))
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print
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print "Top5 kasutatud veebilehitsejad/OS-id:"
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for user_agent, count in agents.most_common(5):
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sys.stdout.write("% 9d %s\n" % (count, user_agent))
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# Apache logide parsija
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Komplektne näide kuidas Apache2 logisid parsida ning raporteerida huvitavamad killud:
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* Parsib Apache logifaili kirjed ApacheLogParser klassi abil mis on kirjeldatud failis log_parsers.py
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* Värvib kaardi faili BlankMap-World6.svg ning salvestab top.svg faili sisse
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* Genereerib Bootstrap baasil koostatud veebilehe mallist template.html faili raport.html
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# encoding: utf-8
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import re
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import sys
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from datetime import datetime
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class GenericParser(object):
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def __init__(self, fh): # siia võid anda sys.stdin, gzip.open, open vms file handle tüüpi obj
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self.fh = fh
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def __iter__(self):
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multiline_message = ""
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log_entry = None
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byte_count = 0
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line_count = 0
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event_count = 0
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for line in self.fh:
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byte_count += len(line) # loenda baite
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line_count += 1
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if not line.strip(): # jäta vahele tühjad read
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continue
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m = re.match(self.RE_LOG_ENTRY, line)
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if m:
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if log_entry and self.is_serious(log_entry):
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stack_trace = "\n".join(multiline_message.split("\n")[1:])
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event_count += 1
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row = \
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datetime.strptime(log_entry.get("timestamp"), self.TIMESTAMP_FORMAT), \
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log_entry, stack_trace, byte_count, line_count, event_count
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# See teeb funktsioonist generaatori/iteraatori
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yield row
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multiline_message = line
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log_entry = m.groupdict()
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else:
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multiline_message += line
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class JavaLogParser(GenericParser):
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TIMESTAMP_FORMAT = "%Y-%m-%d %H:%M:%S.%f"
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RE_LOG_ENTRY = "(?P<timestamp>.+?) (?P<severity>[A-Z]+) 1 --- \[(?P<thread>.+)\](?P<class>.+) +: (?P<message>.+)"
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def is_serious(self, log_entry):
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return log_entry.get("severity") == "ERROR"
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class ApacheLogParser(GenericParser):
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RE_LOG_ENTRY = "(?P<remote_addr>.+?) - (?P<username>.+?) \[(?P<timestamp>.+?) \+\d\d\d\d\] \"(?P<verb>[A-Z]+) (?P<path>.+) HTTP/1.[01]\" (?P<status>\d+) (?P<size>\d+) \"(?P<referrer>.+?)\" \"(?P<user_agent>.+?)\""
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TIMESTAMP_FORMAT = "%d/%b/%Y:%H:%M:%S"
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def is_serious(self, log_entry):
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return int(log_entry.get("status")) >= 400
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#!/usr/bin/python
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# encoding: utf-8
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"""
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Sõltuvuste paigladamiseks:
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apt install -y python-jinja2 python-lxml python-pygal
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dnf install -y python-jinja2 python-lxml python-pygal
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"""
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import GeoIP
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import re
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import sys
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from collections import Counter
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from datetime import datetime
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from log_parsers import ApacheLogParser
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then = datetime.now()
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hits_per_remote_addr = Counter() # IP-d kust tuldi
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hits_per_path = Counter() # URL-id mida külastati
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hits_per_user_agent = Counter() # User agent mida kasutati külastamisel
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hits_per_country = Counter() # Riigid kust päringud tulid
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hits_per_date = Counter() # Kuupäevad mil logikirjeid oli
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bytes_per_date = Counter()
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gi = GeoIP.open("/usr/share/GeoIP/GeoIP.dat", GeoIP.GEOIP_MEMORY_CACHE)
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print "Loen standardsisendist..."
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for timestamp, log_entry, stack_trace, byte_count, line_count, event_count in ApacheLogParser(sys.stdin):
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country_code = gi.country_code_by_addr(log_entry.get("remote_addr"))
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hits_per_path[log_entry.get("path")] += 1
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hits_per_remote_addr[log_entry.get("remote_addr")] += 1
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hits_per_user_agent[log_entry.get("user_agent")] += 1
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hits_per_country[country_code] += 1
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hits_per_date[timestamp.date()] += 1
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bytes_per_date[timestamp.date()] += int(log_entry.get("size"))
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# Leia kõige esimene kuupäev ning viimane kuupäev millal sündmused esinesid
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first_date, last_date = min(hits_per_date.keys()), max(hits_per_date.keys())
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############################
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### Värvi riigid kaardil ###
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############################
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import requests
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from lxml import etree
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from numpy import interp
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# Laadi alla kaart wikimedia veebist
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print "Laadin alla kaarti..."
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buf = requests.get("https://upload.wikimedia.org/wikipedia/commons/0/03/BlankMap-World6.svg").content
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# Parsi XML puu
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map_document = etree.fromstring(buf)
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for country, count in hits_per_country.items():
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if not country:
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# Mõni IP ei pruukinud laheneda riigikoodiks (sisevõrk jms)
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continue
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hue = interp(count, [0, max(hits_per_country.values())], [180, 0])
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for element in map_document.xpath("//*[@id='%s']" % country.lower()):
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element.set("style", "fill:hsl(%.2f, 60%%, 60%%)" % hue)
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for subelement in element:
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subelement.attrib.pop("class", "")
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with open("top.svg", "wb") as fh:
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fh.write(etree.tostring(map_document))
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print "Kaart salvestatud faili top.svg"
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####################################################
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### Koosta päringute arvu graafik päevade lõikes ###
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####################################################
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import matplotlib.pyplot as plt
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fig = plt.figure(figsize=(10, 7))
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# Lisa joonise sisse kaks graafikut
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sub = fig.add_subplot(2, 1, 1)
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sub2 = fig.add_subplot(2, 1, 2)
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sub.set_xlabel(u"Päringute arv")
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sub2.set_xlabel(u"Liikluse maht baitides")
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# Ploti andmepunktid
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sub.barh(hits_per_date.keys(), hits_per_date.values())
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sub2.barh(bytes_per_date.keys(), bytes_per_date.values())
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# Salvesta faili
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fig.savefig("bar.svg", format="svg")
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fig.savefig("bar.png")
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#######################################
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### Koosta veebilehitsejate graafik ###
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#######################################
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import pygal
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line_chart = pygal.Pie(
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truncate_legend=50, # legend kuni 50 karakterit
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width=1000, height=300, # graafiku laius/kõrgus pikslites
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style=pygal.style.Style(background='transparent')) # eemalda taustavärv
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line_chart.config(style_name = 'LightStyle', fill=None)
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line_chart.title = 'Veebilehitsejate osakaal'
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for user_agent, count in hits_per_user_agent.most_common(7):
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line_chart.add(user_agent, count) # lisa graafikule
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hits_per_user_agent.pop(user_agent) # eemalda counteri objektist
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line_chart.add("Muud veebilehitsejad", sum(hits_per_user_agent.values()))
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user_agent_chart = line_chart.render(is_unicode=True, disable_xml_declaration=True)
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from jinja2 import Template
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import codecs
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# Loe jinja mall UTF-8 tekstifailist
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with codecs.open("template.html", "rb", encoding="utf-8") as fh:
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template = Template(fh.read())
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# Süsti malli sisse kõik kohalikud muutujad (first_date, last_date, hits, urls jne)
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buf = template.render(locals())
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# Salvesta täidetud leht UTF-8 kodeeringus
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with codecs.open("raport.html", "wb", encoding="utf-8") as fh:
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fh.write(buf)
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print "HTML kujul raport savlestatud faili raport.html"
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<!DOCTYPE>
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<html>
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<head>
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<title>Apache logide raport</title>
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<meta charset="utf-8"/>
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<link href="https://getbootstrap.com/docs/4.1/dist/css/bootstrap.min.css" rel="stylesheet"/>
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<script src="https://code.jquery.com/jquery-3.3.1.slim.min.js" crossorigin="anonymous"></script>
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<script src="https://getbootstrap.com/docs/4.1/dist/js/bootstrap.min.js"></script>
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<script type="text/javascript" src="http://kozea.github.com/pygal.js/latest/pygal-tooltips.min.js"></script>
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<style>
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svg, img {
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max-width: 80%;
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}
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</style>
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</head>
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<body>
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<!-- Navigeerimise lingid, lehe sees -->
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<nav class="navbar navbar-expand-lg navbar-light bg-light fixed-top">
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<a class="navbar-brand" href="#">Apache2 logid</a>
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<div class="collapse navbar-collapse" id="navbarSupportedContent">
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<ul class="navbar-nav mr-auto">
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<li class="nav-item"><a class="nav-link" href="#home">Üles</a></li>
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<li class="nav-item"><a class="nav-link" href="#per_date">Liiklus</a></li>
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<li class="nav-item"><a class="nav-link" href="#user_agents">Veebilehitsejad</a></li>
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<li class="nav-item"><a class="nav-link" href="#urls">URL-id</a></li>
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<li class="nav-item"><a class="nav-link" href="#remote_addrs">IP-aadressid</a></li>
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<li class="nav-item"><a class="nav-link" href="#countries">Riigid</a></li>
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</ul>
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</div>
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</nav>
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<div class="container">
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<br/>
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<br/>
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<br/>
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<div class="row mt-3" id="home">
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<div class="col-md-12">
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<h2>Sisendandmed</h2>
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<p>
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Läbi näritud {{ byte_count | filesizeformat }} andmeid,
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{{ line_count }} rida, {{ event_count }} logikirjet.
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Logikirjed
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{% if first_date == last_date %}
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päeval {{ first_date }}
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{% else %}
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{{ first_date }} kuni {{ last_date }}
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{% endif %}
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</p>
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</div>
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</div>
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<div class="row mt-3" id="per_date">
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<div class="col-md-12">
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<h2>Kuupäevad</h2>
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<p>Päringute arv ning päringute maht kuupäevade kaupa grupeeritult,
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ploteeritud <a href="https://matplotlib.org/" target="_blank">matplotlib</a> abil</p>
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<img src="bar.svg"/>
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<h2 id="user_agents">Top 10 veebilehitsejad</h2>
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<p>Interaktiivne graafik ploteeritud <a href="http://pygal.org/en/stable/" target="_blank">pygal</a> abil
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<div>
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{{ user_agent_chart }}
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</div>
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</div>
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</div>
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<div class="row mt-3" id="urls">
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<div class="col-md-12">
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<h2>Top 10 URL-id</h2>
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<div>
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<ol>
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{% for path, count in hits_per_path.most_common(10) %}
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<li><a href="http://enos.itcollege.ee{{ path }}" target="_blank">{{ path }}</a>: {{ count }}</li>
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{% endfor %}
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</ol>
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</div>
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</div>
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</div>
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<div class="row mt-3" id="remote_addrs">
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<div class="col-md-12">
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<h2>Top10 IP aadressid</h2>
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<div>
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<ol>
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{% for remote_addr, count in hits_per_remote_addr.most_common(10) %}
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<li><a href="http://geoiplookup.net/ip/{{ remote_addr }}" target="_blank">{{ remote_addr }}</a>: {{ count }}</li>
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{% endfor %}
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</ol>
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</div>
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</div>
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</div>
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<div class="row mt-3" id="countries">
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<div class="col-md-12">
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<h2>Külastused riikide kaupa</h2>
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<p>Loetud XML failist, värvitud lxml mooduli abil ning salvestatud top.svg faili sisse:</p>
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<div>
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<img src="top.svg"/>
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</div>
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</div>
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</div>
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<div class="row mt-3" id="remote_addrs">
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<div class="col-md-12">
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<p>Fail genereeriti {{ datetime.now() }}, võttis aega {{ datetime.now() - then }}</p>
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</div>
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</div>
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</div>
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</body>
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</html>
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