commited all contents created by participants
This commit is contained in:
Bachir Soussi Chiadmi
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#!/usr/bin/env/ python
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# encoding=utf8
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# using scrape.py by Michael Murtaugh, DiVersions, Brussels, 2016:
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# scrape.py generates a json file that is the input for this scripts
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# run in python3 as follows: python objects_made_2_speak.py < woman.json
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# inspired by The Death of the Authors - 1941 http://publicdomainday.constantvzw.org/#1941:
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# this script generates a .tex file, if you want to convert it to pdf:
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# context *.tex
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import json, sys
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import io
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import os, random
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import time
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from time import sleep
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from csv import DictReader
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import csv
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### PUBLICATION ELEMENTS
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# Define name file
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#title = 'catalogue_en_stacks'
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title = 'catalogue_en_carmentis'
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# Define subtitle of your catalogue
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#subtitle = "Exhibition 'STACKS'"
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subtitle = "Carmentis.be"
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# Define name of your category or collection
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collection_cat = "20 OBJECTS WITH HAIR"
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### INPUT DATA
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# import scraped jsonfile & convert to list of dictionaries
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# output_json = []
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# for line in sys.stdin:
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# item = json.loads(line)
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# output_json.append(item)
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# length_catalogue = (len(output_json))
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#print (json.dumps(output_json, indent=2))
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# import csv-file & convert to json
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output_json = []
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with open('scripts/hair.csv') as csvfile:
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# reader = csv.reader(csvfile, delimiter=' ', quotechar='|')
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reader = DictReader(csvfile)
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# reader = DictReader(sys.stdin)
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for item in reader:
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# print ', '.join(item)
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if item:
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output_json.append(item)
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# print (json.dumps(output_json, indent=2))
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length_catalogue = (len(output_json))
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# define list with fields present in json output
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fields = ["objectTitle", "collectionName", "dimensions", "objectName", "inventoryNb", "material",\
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"dating", "geography", "objectCulture"]
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# dictionary with phrases that fit with the fields
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sentences = {
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"objectTitle": ["I have been catalogued as a ", "I am called a ", "I have been described as a ", \
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"Someone wrote I am a ", "A human classified me as a ", "A person portrayed me as a ", \
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"I have been painted in words as a ", "I have been depicted as a", "Someone characterized me as a ",\
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"The description that was given to me is a ", 'Apparently I am a '],\
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"collectionName" : ["I belong to the ", "I have been classified in the ", "Someone chose to file me in the ",\
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"The collection I have been assigned to is ", "I have a place in the ", "I have been located in the ",\
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"I am situated in the ", 'I can be found in the ', "I am included in the ", "Someone chose to class me in the ",\
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" I am categorized in the ", 'Someone decided to list me in the '],\
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"dimensions": ["My dimensions are ", "These are my measurements: ", "Someone measured me with the following protocol: ",\
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"My proportions are: ", "This is my size: ", "Do you think I am large having a ", \
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"I wonder if I would fit in your pocket with the following measurements: ", "My size is: ", \
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"In case you decide to dress me one day: "],\
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"objectName": ["I am defined as a ", "Generically I am a ", "I am commonly named a ", "My official object name is ",\
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"Someone decided to name me as a ", "The name given to me is ", "I am labeled as a ", \
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"I have been tagged as a ", "Someone denominated me as a "],\
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"inventoryNb": ["I carry the number ", "My ID number is ", "I have been inventorized under the number ",\
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"You can identify me in the archive as a ", "One day someone indexed me with the number ", \
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"If one day I would carry an ID card, its number would be ", "Translated to an index, I am ",\
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"I guess my official name is "],\
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"material": ["I am made of ", "My flesh is ", "The material of my body is ", "My bones are of ",\
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"I am composed of ", "My essence is "],\
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"dating": ["I was made in the period of ", "I date back to ", "I was born in the era of ", \
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"Some human must have created me in the epoch of ", "My history dates back to ", \
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"My great grand parents must have lived before ", "My descendences goes back to ",\
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"I have survived on this planet since ", "I am very very old, from "],\
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"geography": ["I come from ", "I was born in ", "My geographical origin is ", "I originally migrated from ",\
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"I traveled here from ", "My place of birth is ", "My roots are in ", " I should be able to find some relatives in "],\
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"objectCulture": ["My cultural background is ", "I belong to the culture of "]
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}
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# for each object, create sentences and typewrite them to screen
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phrases = []
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counts = []
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length = len(output_json)
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nr = range(0, length)
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items_to_choose = random.sample(nr, 20)
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items = sorted(items_to_choose)
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objects = []
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for number in items:
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# print("number:", number)
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element = output_json[number]
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# print("element:", element)
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count = "Object number " + str(number + 1) + " from " + str(length)
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counts.append(count)
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for f in fields:
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description = element.get(f)
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# print element
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# print("f:", f)
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# print("description:", description)
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if description:
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phrase = random.choice(sentences[f])
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s = phrase+description.lower()+'. '
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# print("s", s)
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if s:
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phrases.append(s)
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phrases.append("\n_____________\n\n")
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# ugly way of dealing with paragraphs/elements
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sents = "".join(phrases)
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phrases = sents.split("\n_____________\n\n")
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# zip two lists into dictionary
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objects ={}
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objects = dict(zip(counts, phrases))
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# print(objects)
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# create A5 pdf
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# def writetoCatalogue(content):
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# try:
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# logfile = open(filename, "a")
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# try:
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# logfile.write(content)
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# finally:
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# logfile.close()
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# except IOError:
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# pass
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# set time & date & filename
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# title = 'catalogue_en_'
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now = time.strftime("%Y-%m-%d_%H:%M:%S")
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# filename = year+'_'+now+'.txt'
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# filename = title+'_'+collection_cat+'_'+now+'.tex'
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# Print header for ConText
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# header = open('header.txt', 'r')
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# header = header.read()
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# writetoCatalogue(header)
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# header = '<header><h2>Catalogue</h2><h1>Musée du Cinquantenaire - Jubelparkmuseum</h1></header>'
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objectshtml = ''
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for k, v in objects.items():
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objectshtml+='<div class="k"><h3>'+k+'</h3></div><div class="v"><p>'+v+'</p></div>'
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# footer = '<footer>This publication was generated by An Mertens on '+now+' with material scraped from carmentis.be, the online catalogue of Musée du Cinquantenaire-Jubelparkmuseum, Brussels.\n\crlf\crlf\nDeveloped in the framework of DiVersions, a worksession organised by Constant in collaboration with e-Collections.</footer>'
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output = objectshtml
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print(output)
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# Write catalogue
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# writetoCatalogue("\chapter{Carmentis.be\crlf\crlf\n")
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# writetoCatalogue(collection_cat+'\crlf\crlf\n')
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# writetoCatalogue('Catalogue\crlf\crlf\n')
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# writetoCatalogue('Musée du Cinquantenaire - Jubelparkmuseum\crlf}\n')
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# Print text
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# writetoCatalogue('\n\section{Objects}\n')
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# writetoCatalogue('\setuppagenumber[state=start]')
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# Open file and add sentences
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# for k, v in objects.items():
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# writetoCatalogue(k+'\crlf\crlf\n')
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# writetoCatalogue(v)
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# writetoCatalogue('\crlf\crlf\n')
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# Open file and add sources
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# writetoCatalogue('\n\section{Colophon}')
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# writetoCatalogue('\nThis publication was generated by An Mertens on '+now+' with material scraped from carmentis.be, the online catalogue of Musée du Cinquantenaire-Jubelparkmuseum, Brussels.\n\crlf\crlf\nDeveloped in the framework of DiVersions, a worksession organised by Constant in collaboration with e-Collections.')
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# writetoCatalogue('\n\stoptext\n')
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File diff suppressed because it is too large
Load Diff
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Load Diff
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import re
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source = open("scripts/frankenstein_gutenberg.txt", "r")
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#source = open("joyce.txt", "r")
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# destination = open("perec.txt", "w")
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regex = r'(\w*p+\w*e+\w*r+\w*e+\w*c+)'
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#regex = r'(\w*e+\w*l+\w*i+\w*f+\w*)'
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# destination.write("Source: George Orwell's 1984\n\n\n")
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# destination.write("Source: James Joyce, Almost complete works\n\n\n")
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sentences = []
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perec = ''
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for line in source:
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words = line.split(" ")
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for word in words:
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if re.search(regex, word):
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# print(word)
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perec+='<p>'+word+'</p>'
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# destination.write(word+'\n')
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print perec
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