from search import Search, JVM, SearchResult
from lucene import StringReader
from suggest.forms import PublishingSuggestForm
-
+import re
import enchant
dictionary = enchant.Dict('pl_PL')
text_phrase = SearchResult.aggregate(srch.search_phrase(toks, 'content', fuzzy=fuzzy, tokens_cache=tokens_cache, snippets=True, book=False))
- everywhere = SearchResult.aggregate(srch.search_everywhere(toks, fuzzy=fuzzy, tokens_cache=tokens_cache), author_title_rest)
+ everywhere = srch.search_everywhere(toks, fuzzy=fuzzy, tokens_cache=tokens_cache)
+
+ def already_found(results):
+ def f(e):
+ for r in results:
+ if e.book_id == r.book_id:
+ results.append(e)
+ return True
+ return False
+ return f
+ f = already_found(author_results + title_results)
+ everywhere = filter(lambda x: not f(x), everywhere)
+
+ author_results = SearchResult.aggregate(author_results)
+ title_results = SearchResult.aggregate(title_results)
+
+ everywhere = SearchResult.aggregate(everywhere, author_title_rest)
for res in [author_results, title_results, text_phrase, everywhere]:
res.sort(reverse=True)
-
+ for r in res:
+ for h in r.hits:
+ h['snippets'] = map(lambda s:
+ re.subn(r"(^[ \t\n]+|[ \t\n]+$)", u"",
+ re.subn(r"[ \t\n]*\n[ \t\n]*", u"\n", s)[0])[0], h['snippets'])
+
suggestion = did_you_mean(query, srch.get_tokens(toks, field="SIMPLE"))
-
+ print "dym? %s" % repr(suggestion).encode('utf-8')
+
results = author_results + title_results + text_phrase + everywhere
results.sort(reverse=True)