return query
+JVM.attachCurrentThread()
+search = Search()
+
def hint(request):
prefix = request.GET.get('term', '')
if len(prefix) < 2:
return JSONResponse([])
JVM.attachCurrentThread()
- s = Search()
- hint = s.hint()
+ hint = search.hint()
try:
tags = request.GET.get('tags', '')
hint.tags(Tag.get_tag_list(tags))
# 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, pdcounter=True)
- books = s.hint_books(prefix)
+ tags = search.hint_tags(prefix, pdcounter=True)
+ books = search.hint_books(prefix)
def category_name(c):
if c.startswith('pd_'):
- c=c[len('pd_'):]
+ c = c[len('pd_'):]
return _(c)
return JSONResponse(
def main(request):
results = {}
JVM.attachCurrentThread() # where to put this?
- srch = Search()
results = None
query = None
fuzzy = False #0.8
- if 'q' in request.GET:
- # 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)
-
- # 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', {'prefix': query},
- context_instance=RequestContext(request))
-
- # 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 = {}
-
- 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:
- 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(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': 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',
+ query = request.GET.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)
+
+ # hint = search.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', {'prefix': query},
+ context_instance=RequestContext(request))
+
+ # hint.tags(tag_list)
+ # if book:
+ # hint.books(book)
+ tags = search.hint_tags(query, pdcounter=True, prefix=False, fuzzy=fuzzy)
+ tags = split_tags(tags)
+
+ toks = StringReader(query)
+ tokens_cache = {}
+
+ author_results = search.search_phrase(toks, 'authors', fuzzy=fuzzy, tokens_cache=tokens_cache)
+ title_results = search.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 = search.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(
+ search.search_phrase(toks, 'content', fuzzy=fuzzy, tokens_cache=tokens_cache, snippets=True, book=False, slop=4),
+ search.search_some(toks, ['content'], tokens_cache=tokens_cache, snippets=True, book=False))
+
+ everywhere = search.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, search.get_tokens(toks, field="SIMPLE"))
+
+ def ensure_exists(r):
+ try:
+ return r.book
+ except Book.DoesNotExist:
+ return False
+
+ author_results = filter(ensure_exists, author_results)
+ title_results = filter(ensure_exists, title_results)
+ text_phrase = filter(ensure_exists, text_phrase)
+ everywhere = filter(ensure_exists, everywhere)
+
+ results = author_results + title_results + text_phrase + everywhere
+ # ensure books do exists & sort them
+ 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(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': tags,
'prefix': query,
- 'results': { 'author': author_results,
- 'title': title_results,
- 'content': text_phrase,
- 'other': everywhere},
+ "form": form,
'did_you_mean': suggestion},
context_instance=RequestContext(request))
+
+ return render_to_response('catalogue/search_multiple_hits.html',
+ {'tags': tags,
+ 'prefix': query,
+ 'results': { 'author': author_results,
+ 'title': title_results,
+ 'content': text_phrase,
+ 'other': everywhere},
+ 'did_you_mean': suggestion},
+ context_instance=RequestContext(request))
fnp / wolnelektury.git / blobdiff