Cite backdrop z książkami
[wolnelektury.git] / apps / search / views.py
index 00391f1..527ca82 100644 (file)
@@ -8,14 +8,14 @@ from django.views.decorators import cache
 from django.http import HttpResponse, HttpResponseRedirect, Http404, HttpResponsePermanentRedirect
 from django.utils.translation import ugettext as _
 
-from catalogue.utils import get_random_hash
+from catalogue.utils import split_tags
 from catalogue.models import Book, Tag, Fragment
 from catalogue.fields import dumps
 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')
@@ -34,10 +34,12 @@ def did_you_mean(query, tokens):
         authors = Tag.objects.filter(category='author', name__iregex=match_word_re(t))
         if len(authors) > 0:
             continue
-        
+
         if not dictionary.check(t):
             try:
-                change[t] = dictionary.suggest(t)[0]
+                change_to = dictionary.suggest(t)[0].lower()
+                if change_to != t.lower():
+                    change[t] = change_to
             except IndexError:
                 pass
 
@@ -69,14 +71,17 @@ def hint(request):
     # jezeli tagi dot tylko ksiazki, to wazne zeby te nowe byly w tej samej ksiazce
     # jesli zas dotycza themes, to wazne, zeby byly w tym samym fragmencie.
 
-    tags = s.hint_tags(prefix)
+    tags = s.hint_tags(prefix, pdcounter=True)
     books = s.hint_books(prefix)
 
-    # TODO DODAC TU HINTY
+    def category_name(c):
+        if c.startswith('pd_'):
+            c=c[len('pd_'):]
+        return _(c)
 
     return JSONResponse(
         [{'label': t.name,
-          'category': _(t.category),
+          'category': category_name(t.category),
           'id': t.id,
           'url': t.get_absolute_url()}
           for t in tags] + \
@@ -94,35 +99,34 @@ def main(request):
 
     results = None
     query = None
-    fuzzy = False
+    fuzzy = False #0.8
 
     if 'q' in request.GET:
-        tags = request.GET.get('tags', '')
+        tags = request.GET.get('tags', '')
         query = request.GET['q']
-        book_id = request.GET.get('book', None)
-        book = None
-        if book_id is not None:
-            book = get_object_or_404(Book, id=book_id)
+        book_id = request.GET.get('book', None)
+        book = None
+        if book_id is not None:
+            book = get_object_or_404(Book, id=book_id)
 
-        hint = srch.hint()
-        try:
-            tag_list = Tag.get_tag_list(tags)
-        except:
-            tag_list = []
+        hint = srch.hint()
+        try:
+            tag_list = Tag.get_tag_list(tags)
+        except:
+            tag_list = []
 
         if len(query) < 2:
-            return render_to_response('catalogue/search_too_short.html', {'tags': tag_list, 'prefix': query},
+            return render_to_response('catalogue/search_too_short.html', {'prefix': query},
                                       context_instance=RequestContext(request))
 
-        hint.tags(tag_list)
-        if book:
-            hint.books(book)
+        # hint.tags(tag_list)
+        # if book:
+        #     hint.books(book)
+        tags = srch.hint_tags(query, pdcounter=True, prefix=False, fuzzy=fuzzy)
+        tags = split_tags(tags)
 
         toks = StringReader(query)
         tokens_cache = {}
-        fuzzy = 'fuzzy' in request.GET
-        if fuzzy:
-            fuzzy = 0.7
 
         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)
@@ -137,37 +141,65 @@ def main(request):
                 b2.boost *= 1.1
             if bks is []:
                 author_title_rest.append(b)
-        
-        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)
+
+        # 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:
             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())
+                #anchor = fragment_hits[0]['fragment']
+                #frag = Fragment.objects.get(anchor=anchor)
+                return HttpResponseRedirect(fragment_hits[0]['fragment'].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',
-                                      {'tags': tag_list,
+                                      {'tags': tags,
                                        'prefix': query,
                                        "form": form,
                                        'did_you_mean': suggestion},
                 context_instance=RequestContext(request))
 
+        print "TAGS: %s" % tags
         return render_to_response('catalogue/search_multiple_hits.html',
-                                  {'tags': tag_list,
+                                  {'tags': tags,
                                    'prefix': query,
                                    'results': { 'author': author_results,
                                                 'title': title_results,