mirror of
https://expo.survex.com/repositories/troggle/.git
synced 2024-11-29 13:21:54 +00:00
114 lines
3.8 KiB
Python
114 lines
3.8 KiB
Python
import string
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import os
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import datetime
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import re
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import resource
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import random
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import logging
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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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'''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.utils.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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'issues' : {
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'logdataissues' : {}
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}
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}
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# This is module-level executable. This is a Bad Thing. Especially when it touches the file system.
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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 save_carefully(objectType, lookupAttribs={}, nonLookupAttribs={}):
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"""Looks up instance using lookupAttribs and carries out the following:
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-if instance does not exist in DB: add instance to DB, return (new instance, True)
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-if instance exists in DB and was modified using Troggle: do nothing, return (existing instance, False)
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-if instance exists in DB and was not modified using Troggle: overwrite instance, return (instance, False)
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The checking is accomplished using Django's get_or_create and the new_since_parsing boolean field
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defined in core.models.TroggleModel.
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"""
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try:
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instance, created = objectType.objects.get_or_create(defaults=nonLookupAttribs, **lookupAttribs)
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except:
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print(" !! - FAIL in SAVE CAREFULLY ===================", objectType)
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print(" !! - -- objects.get_or_create()")
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print(" !! - lookupAttribs:{}\n !! - nonLookupAttribs:{}".format(lookupAttribs,nonLookupAttribs))
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raise
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if not created and not instance.new_since_parsing:
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for k, v in list(nonLookupAttribs.items()): #overwrite the existing attributes from the logbook text (except date and title)
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setattr(instance, k, v)
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try:
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instance.save()
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except:
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print(" !! - SAVE CAREFULLY ===================", objectType)
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print(" !! - -- instance.save()")
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print(" !! - lookupAttribs:{}\n !! - nonLookupAttribs:{}".format(lookupAttribs,nonLookupAttribs))
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raise
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try:
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msg = str(instance)
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except:
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msg = "FAULT getting __str__ for instance with lookupattribs: {}:".format(lookupAttribs)
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if created:
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logging.info(str(instance) + ' was just added to the database for the first time. \n')
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if not created and instance.new_since_parsing:
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logging.info(str(instance) + " has been modified using Troggle, so the current script left it as is. \n")
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if not created and not instance.new_since_parsing:
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logging.info(str(instance) + " existed in the database unchanged since last parse. It was overwritten by the current script. \n")
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return (instance, created)
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