def buildMscPureMatrix(lang):
if os.path.exists(ARTS_FILE):
logging.warning(
"SKIPPING creating MSC database from meta.xml files (using old %s); is this what you want?"
% ARTS_FILE)
else:
logging.info("creating MSC database from meta.xml files")
createMscsDb(
) # only run this when collection changes (test for file existence / delete file explicitly?)
arts = [
art for art in docsim.getArts(
ARTS_FILE, acceptNoBody=True, acceptNoMsc=False)
if art.language == lang or lang == 'any'
]
cats = dict(enumerate(mscs.getFreqMSCs(arts, minFreq=1, useMains=False)))
rcats = utils_dml.reverseMap(cats)
saveMsc2Id(cats, lang)
logging.info("building MSC binary matrix")
resultBin = numpy.zeros(
(len(cats), len(cats)), dtype=numpy.float32
) # binary msc similarity (with fixed msc hierarchy = identity)
for idi, cati in cats.iteritems():
for idj, catj in cats.iteritems():
# print idi, cati, idj, catj
if idi == idj:
resultBin[idi, idj] = 1.0
else:
resultBin[idi, idj] = 0.0
matutils.saveMatrix(resultBin,
common.matrixFile("mscs_bin_%s.mm" % lang),
sparse=False)
return resultBin
def getArts(fname, minFreq):
db = ArticleDB.ArticleDB(common.dataFile(fname), mode = 'open')
import ipyutils
language = 'eng'
ipyutils.loadDicts(prefix = 'gensim_' + language)
arts = [Article.Article(rec) for rec in db.db if rec['language'] == language]
for art in arts:
art.msc = list(set(mscs.niceMSC(msc, prefix = 2)[0] for msc in art.msc))
logging.info('loaded %i articles from %s' % (len(arts), fname))
arts = [art for art in arts if len(art.msc)==1 and art.body and art.id_int in ipyutils.rdocids]
logging.info('extracted %i articles with exactly one MSC and non-empty body' % (len(arts)))
okmsc = mscs.getFreqMSCs(arts, minFreq, useMains = True)
mscs.printStats(arts)
for art in arts:
art.body = art.body.decode('utf8')
# art.body = art.body.decode('ascii', 'ignore')
art.body = art.body.translate(BAD_MAP).encode('utf8')
if art.title:
art.title = art.title.decode('utf8')
# art.title = art.title.decode('ascii', 'ignore')
art.title = art.title.translate(BAD_MAP).encode('utf8')
art.msc = [mscs.niceMSC(art.msc[0], prefix = 2)[0]]
arts = [art for art in arts if art.msc[0] in okmsc]
allmsc, mainmsc = mscs.getMSCCnts(arts)
for msc, mscarts in allmsc.iteritems():
logging.info("class %s: %i articles" % (msc, len(mscarts)))
logging.info("======================")
logging.info("sum: %i articles" % sum(len(mscarts) for mscarts in allmsc.itervalues()))
logging.debug('using %i articles from all %s msc classes that are covered by at least %i articles' % (len(arts), sorted(list(okmsc)), minFreq))
return arts
def buildMscPureMatrix(lang):
if os.path.exists(ARTS_FILE):
logging.warning(
"SKIPPING creating MSC database from meta.xml files (using old %s); is this what you want?" % ARTS_FILE
)
else:
logging.info("creating MSC database from meta.xml files")
createMscsDb() # only run this when collection changes (test for file existence / delete file explicitly?)
arts = [
art
for art in docsim.getArts(ARTS_FILE, acceptNoBody=True, acceptNoMsc=False)
if art.language == lang or lang == "any"
]
cats = dict(enumerate(mscs.getFreqMSCs(arts, minFreq=1, useMains=False)))
rcats = utils_dml.reverseMap(cats)
saveMsc2Id(cats, lang)
logging.info("building MSC binary matrix")
resultBin = numpy.zeros(
(len(cats), len(cats)), dtype=numpy.float32
) # binary msc similarity (with fixed msc hierarchy = identity)
for idi, cati in cats.iteritems():
for idj, catj in cats.iteritems():
# print idi, cati, idj, catj
if idi == idj:
resultBin[idi, idj] = 1.0
else:
resultBin[idi, idj] = 0.0
matutils.saveMatrix(resultBin, common.matrixFile("mscs_bin_%s.mm" % lang), sparse=False)
return resultBin
def getArts(fname, minFreq):
db = ArticleDB.ArticleDB(common.dataFile(fname), mode='open')
import ipyutils
language = 'eng'
ipyutils.loadDicts(prefix='gensim_' + language)
arts = [
Article.Article(rec) for rec in db.db if rec['language'] == language
]
for art in arts:
art.msc = list(set(mscs.niceMSC(msc, prefix=2)[0] for msc in art.msc))
logging.info('loaded %i articles from %s' % (len(arts), fname))
arts = [
art for art in arts
if len(art.msc) == 1 and art.body and art.id_int in ipyutils.rdocids
]
logging.info(
'extracted %i articles with exactly one MSC and non-empty body' %
(len(arts)))
okmsc = mscs.getFreqMSCs(arts, minFreq, useMains=True)
mscs.printStats(arts)
for art in arts:
art.body = art.body.decode('utf8')
# art.body = art.body.decode('ascii', 'ignore')
art.body = art.body.translate(BAD_MAP).encode('utf8')
if art.title:
art.title = art.title.decode('utf8')
# art.title = art.title.decode('ascii', 'ignore')
art.title = art.title.translate(BAD_MAP).encode('utf8')
art.msc = [mscs.niceMSC(art.msc[0], prefix=2)[0]]
arts = [art for art in arts if art.msc[0] in okmsc]
allmsc, mainmsc = mscs.getMSCCnts(arts)
for msc, mscarts in allmsc.iteritems():
logging.info("class %s: %i articles" % (msc, len(mscarts)))
logging.info("======================")
logging.info("sum: %i articles" %
sum(len(mscarts) for mscarts in allmsc.itervalues()))
logging.debug(
'using %i articles from all %s msc classes that are covered by at least %i articles'
% (len(arts), sorted(list(okmsc)), minFreq))
return arts
