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MetadataFeatures.py
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MetadataFeatures.py
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# Uses metadata to help assess degrees
import os, sys
import SonicScrewdriver as utils
rowindices, columns, metadata = utils.readtsv("/Users/tunder/Dropbox/pagedata/metascrape/EnrichedMetadata.tsv")
options = ["non", "bio", "poe", "dra", "fic"]
with open("/Users/tunder/Dropbox/pagedata/litlocs.tsv", encoding="utf-8") as f:
filelines = f.readlines()
litlocs = dict()
for line in filelines:
line = line.strip()
fields = line.split('\t')
litlocs[fields[0]] = int(round(1000 * float(fields[1])))
with open("/Users/tunder/Dropbox/pagedata/biolocs.tsv", encoding="utf-8") as f:
filelines = f.readlines()
biolocs = dict()
for line in filelines:
line = line.strip()
fields = line.split('\t')
biolocs[fields[0]] = int(round(1000 * float(fields[1])))
def letterpart(locnum):
if locnum == "<blank>":
return "<blank>"
letterstring = ""
for char in locnum:
if char.isalpha():
letterstring += char.upper()
else:
break
if len(letterstring) > 2:
letterstring = letterstring[:2]
if len(letterstring) > 1 and letterstring[0] == "N":
letterstring = "N"
if len(letterstring) > 1 and letterstring[0] == "V":
letterstring = "V"
if len(letterstring) < 1:
letterstring = "00"
return letterstring
def keywithmaxval(dictionary):
maxval = 0
maxkey = ""
for key, value in dictionary.items():
if value > maxval:
maxval = value
maxkey = key
return maxkey
def sequence_to_counts(genresequence):
'''Converts a sequence of page-level predictions to
a dictionary of counts reflecting the number of pages
assigned to each genre. Also reports the largest genre.'''
genrecounts = dict()
genrecounts['fic'] = 0
genrecounts['poe'] = 0
genrecounts['dra'] = 0
genrecounts['non'] = 0
for page in genresequence:
indexas = page
# For this purpose, we treat biography and indexes as equivalent to nonfiction.
if page == "bio" or page == "index" or page == "back" or page == "trv":
indexas = "non"
utils.addtodict(indexas, 1, genrecounts)
# Convert the dictionary of counts into a sorted list, and take the max.
genretuples = utils.sortkeysbyvalue(genrecounts, whethertoreverse = True)
maxgenre = genretuples[0][1]
return genrecounts, maxgenre
def choose_cascade(htid):
'''Reads metadata about this volume and uses it to decide what metadata-level features should be assigned.'''
global rowindices, columns, metadata, litlocs, biolocs
probablydrama = False
probablypoetry = False
probablybiography = False
probablyfiction = False
htid = utils.pairtreelabel(htid)
# convert the clean pairtree filename into a dirty pairtree label for metadata matching
if htid not in rowindices:
# We have no metadata for this volume.
print("Volume missing from ExtractedMetadata.tsv: " + htid)
else:
genrestring = metadata["genres"][htid]
genreinfo = genrestring.split(";")
# It's a semicolon-delimited list of items.
for info in genreinfo:
if info == "Biography" or info == "Autobiography":
probablybiography = True
if info == "Fiction" or info == "Novel":
probablyfiction = True
if (info == "Poetry" or info == "Poems"):
probablypoetry = True
if (info == "Drama" or info == "Tragedies" or info == "Comedies"):
probablydrama = True
title = metadata["title"][htid].lower()
titlewords = title.split()
if "poems" in titlewords or "ballads" in titlewords or "poetical" in titlewords:
probablypoetry = True
loc = metadata["LOCnum"][htid]
LC = letterpart(loc)
if LC in litlocs:
litprob = litlocs[LC]
print(LC + " lit: " + str(litprob))
else:
litprob = 120
print(LC)
if LC in biolocs:
bioprob = biolocs[LC]
print(LC + " bio: " + str(bioprob))
else:
bioprob = 120
print(LC)
return probablybiography, probablydrama, probablyfiction, probablypoetry, litprob, bioprob
sourcedir = "/Users/tunder/Dropbox/pagedata/thirdfeatures/pagefeatures/"
dirlist = os.listdir(sourcedir)
htids = list()
otherctr = 0
ctr = 0
for filename in dirlist:
if len(filename) > 7 and not filename.startswith("."):
stripped = filename[:-7]
probablybiography, probablydrama, probablyfiction, probablypoetry, litprob, bioprob = choose_cascade(stripped)
outpath = "/Users/tunder/Dropbox/pagedata/thirdfeatures/trimfeatures/" + filename
with open(outpath, mode="w", encoding="utf-8") as f:
if probablybiography:
f.write("-1\t#metaBiography\t0\n")
print("Probably bio: " + stripped)
if probablydrama:
f.write("-1\t#metaDrama\t0\n")
print("Probably dra: " + stripped)
if probablyfiction:
f.write("-1\t#metaFiction\t0\n")
print("Probably fic: " + stripped)
if probablypoetry:
f.write("-1\t#metaPoetry\t0\n")
print("Probably poe: " + stripped)
f.write("-1\t#litprob\t" + str(litprob) +"\n")
f.write("-1\t#bioprob\t" + str(bioprob) + "\n")
sourcepath = sourcedir + filename
with open(sourcepath, encoding = 'utf-8') as f:
filelines = f.readlines()
with open(outpath, mode="a", encoding='utf-8') as f:
for line in filelines:
f.write(line)