fix

[wolnelektury.git] / apps / search / views.py

diff --git a/apps/search/views.py b/apps/search/views.py
index d056a18..cf00870 100644 (file)
--- a/apps/search/views.py
+++ b/apps/search/views.py
@@ -15,7 +15,7 @@ from catalogue.views import JSONResponse
 from search import Search, JVM, SearchResult
 from lucene import StringReader
 from suggest.forms import PublishingSuggestForm
-
+import re
 import enchant
 
 dictionary = enchant.Dict('pl_PL')
@@ -31,7 +31,6 @@ def match_word_re(word):
 def did_you_mean(query, tokens):
     change = {}
     for t in tokens:
-        print("%s ok? %s, sug: %s" % (t, dictionary.check(t), dictionary.suggest(t)))
         authors = Tag.objects.filter(category='author', name__iregex=match_word_re(t))
         if len(authors) > 0:
             continue
@@ -120,34 +119,71 @@ def main(request):
             hint.books(book)
 
         toks = StringReader(query)
+        tokens_cache = {}
         fuzzy = 'fuzzy' in request.GET
         if fuzzy:
             fuzzy = 0.7
 
-        results = SearchResult.aggregate(srch.search_perfect_book(toks, fuzzy=fuzzy, hint=hint),
-                                         srch.search_book(toks, fuzzy=fuzzy, hint=hint),
-                                         srch.search_perfect_parts(toks, fuzzy=fuzzy, hint=hint),
-                                         srch.search_everywhere(toks, fuzzy=fuzzy, hint=hint))
-
-        for r in results:
-            r.process_hits()
-
-        results.sort(reverse=True)
-
-        for r in results:
-            print "-----"
-            for h in r.hits:
-                print "- %s" % h
-
-                # Did you mean?
+        author_results = srch.search_phrase(toks, 'authors', fuzzy=fuzzy, tokens_cache=tokens_cache)
+        title_results = srch.search_phrase(toks, 'title', fuzzy=fuzzy, tokens_cache=tokens_cache)
+
+        # Boost main author/title results with mixed search, and save some of its results for end of list.
+        # boost author, title results
+        author_title_mixed = srch.search_some(toks, ['authors', 'title', 'tags'], fuzzy=fuzzy, tokens_cache=tokens_cache)
+        author_title_rest = []
+        for b in author_title_mixed:
+            bks = filter(lambda ba: ba.book_id == b.book_id, author_results + title_results)
+            for b2 in bks:
+                b2.boost *= 1.1
+            if bks is []:
+                author_title_rest.append(b)
+
+        # Do a phrase search but a term search as well - this can give us better snippets then search_everywhere,
+        # Because the query is using only one field.
+        text_phrase = SearchResult.aggregate(
+            srch.search_phrase(toks, 'content', fuzzy=fuzzy, tokens_cache=tokens_cache, snippets=True, book=False, slop=4),
+            srch.search_some(toks, ['content'], tokens_cache=tokens_cache, snippets=True, book=False))
+
+        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:
+                        e.boost = 0.9
+                        results.append(e)
+                        return True
+                return False
+            return f
+        f = already_found(author_results + title_results + text_phrase)
+        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)
+        
         if len(results) == 1:
-            if len(results[0].hits) == 0:
-                return HttpResponseRedirect(results[0].book.get_absolute_url())
-            elif len(results[0].hits) == 1 and results[0].hits[0] is not None:
-                frag = Fragment.objects.get(anchor=results[0].hits[0])
+            fragment_hits = filter(lambda h: 'fragment' in h, results[0].hits)
+            if len(fragment_hits) == 1:
+                anchor = fragment_hits[0]['fragment']
+                frag = Fragment.objects.get(anchor=anchor)
                 return HttpResponseRedirect(frag.get_absolute_url())
+            return HttpResponseRedirect(results[0].book.get_absolute_url())
         elif len(results) == 0:
             form = PublishingSuggestForm(initial={"books": query + ", "})
             return render_to_response('catalogue/search_no_hits.html',
@@ -160,6 +196,9 @@ def main(request):
         return render_to_response('catalogue/search_multiple_hits.html',
                                   {'tags': tag_list,
                                    'prefix': query,
-                                   'results': results,
+                                   'results': { 'author': author_results,
+                                                'title': title_results,
+                                                'content': text_phrase,
+                                                'other': everywhere},
                                    'did_you_mean': suggestion},
             context_instance=RequestContext(request))