mirror of
https://expo.survex.com/repositories/troggle/.git
synced 2024-11-25 08:41:51 +00:00
85 lines
2.3 KiB
Python
85 lines
2.3 KiB
Python
import string
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import os
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import datetime
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import logging
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import re
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import resource
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from subprocess import call
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from urllib.parse import urljoin
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from decimal import Decimal, getcontext
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getcontext().prec=2 #use 2 significant figures for decimal calculations
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import settings
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from django.db import models
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from django.contrib import admin
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from django.contrib.auth.models import User
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from django.contrib.contenttypes.models import ContentType
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from django.conf import settings
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from django.urls import reverse
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from django.template import Context, loader
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#import troggle.core.models_survex
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'''This file declares TROG a globally visible object for caches.
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TROG is a dictionary holding gloablly visible indexes and cache functions.
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It is a Global Object, see https://python-patterns.guide/python/module-globals/
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troggle.models.TROG
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chaosmonkey(n) - used by survex import to regenerate some .3d files
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save_carefully() - core function that saves troggle objects in the database
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'''
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TROG = {
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'pagecache' : {
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'expedition' : {}
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}
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}
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# This is module-level executable. This is a Bad Thing.
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try:
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logging.basicConfig(level=logging.DEBUG,
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filename=settings.LOGFILE,
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filemode='w')
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except:
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# Opening of file for writing is going to fail currently, so decide it doesn't matter for now
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pass
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def get_process_memory():
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usage=resource.getrusage(resource.RUSAGE_SELF)
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return usage[2]/1024.0
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def chaosmonkey(n):
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# returns True once every n calls - randomly
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if random.randrange(0,n) != 0:
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return False
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# print("CHAOS strikes !", file=sys.stderr)
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return True
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# def get_related_by_wikilinks(wiki_text):
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# found=re.findall(settings.QM_PATTERN,wiki_text)
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# res=[]
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# for wikilink in found:
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# qmdict={'urlroot':settings.URL_ROOT,'cave':wikilink[2],'year':wikilink[1],'number':wikilink[3]}
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# try:
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# cave_slugs = models_caves.CaveSlug.objects.filter(cave__kataster_number = qmdict['cave'])
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# qm=QM.objects.get(found_by__cave_slug__in = cave_slugs,
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# found_by__date__year = qmdict['year'],
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# number = qmdict['number'])
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# res.append(qm)
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# except QM.DoesNotExist:
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# print(('fail on '+str(wikilink)))
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# return res
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