def _calc_related_matrix():
print 'Deleting all relatedweights'
db.run('delete from RelatedDocs')
print 'Reading word weights'
docs = list(Doc.search())
docwords = {}
for doc in docs:
echo('.')
l = docwords[doc] = {}
for word,weight in db.run('select word,weight from WordWeights '
' where docid=?', doc.id):
l[word] = weight
print
print 'Calculating related documents'
correlations = {}
for doc in docs:
echo('.')
l = correlations[doc] = {}
for doc2 in docs:
if doc2==doc: continue
bits = (docwords[doc2].get(word,0)*weight
for word,weight in docwords[doc].iteritems())
l[doc2] = sum(bits)
print
print 'Saving correlations'
for doc in correlations:
#print '%s:' % doc.filename
for doc2,weight in correlations[doc].items():
db.run('insert or replace into RelatedDocs '
' (from_doc, to_doc, weight) '
' values (?,?,?)', doc.id, doc2.id, weight)
def _calc_word_frequencies():
print 'Deleting all wordweights'
db.run('delete from WordWeights')
db.run('delete from Words')
totals = {}
for doc in Doc.search():
print ' %s' % doc.filename
textbits = [doc.title, doc.title, # title gets bonus points
doc.filename, doc.expanded_text(lambda x: x, headerdepth=1,
expandbooks=1)]
textbits += doc.tags
fulltext = join(' ', textbits)
words = [w.lower() for w in re.findall(r"(\w+(?:[.'#%@]\w+)?)",
fulltext)]
total = len(words)*1.0
wordcounts = {}
echo(' %d total words' % total)
for w in words:
wordcounts[w] = wordcounts.get(w, 0) + 1
echo(', %d unique' % len(wordcounts.keys()))
new = 0
for w,count in wordcounts.iteritems():
if not w in totals:
totals[w] = 0
new += 1
totals[w] += count
db.run('insert into WordWeights (docid, word, weight) '
' values (?,?,?)', doc.id, w, (count/total)**.5)
echo(', %d new\n' % new)
print ' %d total unique words' % len(totals)
print 'Saving words'
for word,count in totals.iteritems():
db.run('insert into Words (word, total) values (?,?)', word, count)
def _tagdocs(search):
tag = None
docs = []
q = db.run('select Tags.tag,Tags.docid '
' from Tags '
' join Docs on Docs.id = Tags.docid '
' where tag=?'
' order by Docs.title ',
search)
for t,d in q:
tag = t
docs.append(d)
return tag,docs
