Merge branch 'pretty' of github.com:fnp/wolnelektury into pretty

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

diff --git a/apps/search/views.py b/apps/search/views.py
index 00391f1..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')
@@ -137,16 +137,43 @@ def main(request):
                 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)
         
-        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 = 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)