def search_prepare_query(search_query,
filter_query,
sort,
current_page,
sounds_per_page,
id_weight = DEFAULT_SEARCH_WEIGHTS['id'],
tag_weight = DEFAULT_SEARCH_WEIGHTS['tag'],
description_weight = DEFAULT_SEARCH_WEIGHTS['description'],
username_weight = DEFAULT_SEARCH_WEIGHTS['username'],
pack_tokenized_weight = DEFAULT_SEARCH_WEIGHTS['pack_tokenized'],
original_filename_weight = DEFAULT_SEARCH_WEIGHTS['original_filename'],
grouping = False,
include_facets = True,
grouping_pack_limit = 1):
query = SolrQuery()
field_weights = []
if id_weight != 0 :
field_weights.append(("id", id_weight))
if tag_weight != 0 :
field_weights.append(("tag", tag_weight))
if description_weight != 0 :
field_weights.append(("description", description_weight))
if username_weight != 0 :
field_weights.append(("username", username_weight))
if pack_tokenized_weight != 0 :
field_weights.append(("pack_tokenized", pack_tokenized_weight))
if original_filename_weight != 0 :
field_weights.append(("original_filename", original_filename_weight))
query.set_dismax_query(search_query,
query_fields=field_weights,)
query.set_query_options(start=(current_page - 1) * sounds_per_page, rows=sounds_per_page, field_list=["id"], filter_query=filter_query, sort=sort)
if include_facets:
query.add_facet_fields("samplerate", "grouping_pack", "username", "tag", "bitrate", "bitdepth", "type", "channels", "license")
query.set_facet_options_default(limit=5, sort=True, mincount=1, count_missing=False)
query.set_facet_options("tag", limit=30)
query.set_facet_options("username", limit=30)
query.set_facet_options("grouping_pack", limit=10)
query.set_facet_options("license", limit=10)
if grouping:
query.set_group_field(group_field="grouping_pack")
query.set_group_options(group_func=None,
group_query=None,
group_rows=10,
group_start=0,
group_limit=grouping_pack_limit, # This is the number of documents that will be returned for each group. By default only 1 is returned.
group_offset=0,
group_sort=None,
group_sort_ingroup=None,
group_format='grouped',
group_main=False,
group_num_groups=True,
group_cache_percent=0)
return query
def tags(request, multiple_tags=None):
if multiple_tags:
multiple_tags = multiple_tags.split('/')
else:
multiple_tags = []
multiple_tags = sorted(filter(lambda x: x, multiple_tags))
try:
current_page = int(request.GET.get("page", 1))
except ValueError:
current_page = 1
solr = Solr(settings.SOLR_URL)
query = SolrQuery()
if multiple_tags:
query.set_query(" ".join("tag:\"" + tag + "\"" for tag in multiple_tags))
else:
query.set_query("*:*")
query.set_query_options(start=(current_page - 1) * settings.SOUNDS_PER_PAGE, rows=settings.SOUNDS_PER_PAGE, field_list=["id"], sort=["num_downloads desc"])
query.add_facet_fields("tag")
query.set_facet_options_default(limit=100, sort=True, mincount=1, count_missing=False)
query.set_group_field(group_field="grouping_pack")
query.set_group_options(group_func=None,
group_query=None,
group_rows=10,
group_start=0,
group_limit=1,
group_offset=0,
group_sort=None,
group_sort_ingroup=None,
group_format='grouped',
group_main=False,
group_num_groups=True,
group_cache_percent=0,
group_truncate=True) # Sets how many results from the same grup are taken into account for computing the facets
try:
results = SolrResponseInterpreter(solr.select(unicode(query)))
paginator = SolrResponseInterpreterPaginator(results, settings.SOUNDS_PER_PAGE)
num_results = paginator.count
non_grouped_number_of_results = results.non_grouped_number_of_matches
page = paginator.page(current_page)
error = False
tags = [dict(name=f[0], count=f[1]) for f in results.facets["tag"]]
docs = results.docs
resultids = [d.get("id") for d in docs]
resultsounds = sounds.models.Sound.objects.bulk_query_id(resultids)
allsounds = {}
for s in resultsounds:
allsounds[s.id] = s
for d in docs:
d["sound"] = allsounds[d["id"]]
except SolrException, e:
error = True
search_logger.error("SOLR ERROR - %s" % e)
def tags(request, multiple_tags=None):
if multiple_tags:
multiple_tags = multiple_tags.split('/')
else:
multiple_tags = []
multiple_tags = sorted(filter(lambda x:x, multiple_tags))
try:
current_page = int(request.GET.get("page", 1))
except ValueError:
current_page = 1
solr = Solr(settings.SOLR_URL)
query = SolrQuery()
if multiple_tags:
query.set_query(" ".join("tag:\"" + tag + "\"" for tag in multiple_tags))
else:
query.set_query("*:*")
query.set_query_options(start=(current_page - 1) * settings.SOUNDS_PER_PAGE, rows=settings.SOUNDS_PER_PAGE, field_list=["id"], sort=["num_downloads desc"])
query.add_facet_fields("tag")
query.set_facet_options_default(limit=100, sort=True, mincount=1, count_missing=False)
try:
results = SolrResponseInterpreter(solr.select(unicode(query)))
paginator = SolrResponseInterpreterPaginator(results, settings.SOUNDS_PER_PAGE)
page = paginator.page(current_page)
error = False
tags = [dict(name=f[0], count=f[1]) for f in results.facets["tag"]]
except SolrException, e:
error = True
search_logger.error("SOLR ERROR - %s" % e)
def tags(request, multiple_tags=None):
if multiple_tags:
multiple_tags = multiple_tags.split('/')
else:
multiple_tags = []
multiple_tags = sorted(filter(lambda x: x, multiple_tags))
try:
current_page = int(request.GET.get("page", 1))
except ValueError:
current_page = 1
solr = Solr(settings.SOLR_URL)
query = SolrQuery()
if multiple_tags:
query.set_query(" ".join("tag:\"" + tag + "\""
for tag in multiple_tags))
else:
query.set_query("*:*")
query.set_query_options(start=(current_page - 1) *
settings.SOUNDS_PER_PAGE,
rows=settings.SOUNDS_PER_PAGE,
field_list=["id"],
sort=["num_downloads desc"])
query.add_facet_fields("tag")
query.set_facet_options_default(limit=100,
sort=True,
mincount=1,
count_missing=False)
query.set_group_field(group_field="grouping_pack")
query.set_group_options(
group_func=None,
group_query=None,
group_rows=10,
group_start=0,
group_limit=1,
group_offset=0,
group_sort=None,
group_sort_ingroup=None,
group_format='grouped',
group_main=False,
group_num_groups=True,
group_cache_percent=0,
group_truncate=True
) # Sets how many results from the same grup are taken into account for computing the facets
try:
results = SolrResponseInterpreter(solr.select(unicode(query)))
paginator = SolrResponseInterpreterPaginator(results,
settings.SOUNDS_PER_PAGE)
num_results = paginator.count
non_grouped_number_of_results = results.non_grouped_number_of_matches
page = paginator.page(current_page)
error = False
tags = [dict(name=f[0], count=f[1]) for f in results.facets["tag"]]
docs = results.docs
resultids = [d.get("id") for d in docs]
resultsounds = sounds.models.Sound.objects.bulk_query_id(resultids)
allsounds = {}
for s in resultsounds:
allsounds[s.id] = s
for d in docs:
d["sound"] = allsounds[d["id"]]
except SolrException as e:
error = True
search_logger.error("SOLR ERROR - %s" % e)
except:
error = True
slash_tag = "/".join(multiple_tags)
space_tag = " ".join(multiple_tags)
if slash_tag:
follow_tags_url = reverse('follow-tags', args=[slash_tag])
unfollow_tags_url = reverse('unfollow-tags', args=[slash_tag])
show_unfollow_button = False
if request.user.is_authenticated:
show_unfollow_button = follow_utils.is_user_following_tag(
request.user, slash_tag)
return render(request, 'sounds/tags.html', locals())
def search_prepare_query(
search_query,
filter_query,
sort,
current_page,
sounds_per_page,
id_weight=settings.DEFAULT_SEARCH_WEIGHTS['id'],
tag_weight=settings.DEFAULT_SEARCH_WEIGHTS['tag'],
description_weight=settings.DEFAULT_SEARCH_WEIGHTS['description'],
username_weight=settings.DEFAULT_SEARCH_WEIGHTS['username'],
pack_tokenized_weight=settings.
DEFAULT_SEARCH_WEIGHTS['pack_tokenized'],
original_filename_weight=settings.
DEFAULT_SEARCH_WEIGHTS['original_filename'],
grouping=False,
include_facets=True,
grouping_pack_limit=1,
offset=None,
in_ids=[]):
query = SolrQuery()
# Set field weights and scoring function
field_weights = []
if id_weight != 0:
field_weights.append(("id", id_weight))
if tag_weight != 0:
field_weights.append(("tag", tag_weight))
if description_weight != 0:
field_weights.append(("description", description_weight))
if username_weight != 0:
field_weights.append(("username", username_weight))
if pack_tokenized_weight != 0:
field_weights.append(("pack_tokenized", pack_tokenized_weight))
if original_filename_weight != 0:
field_weights.append(("original_filename", original_filename_weight))
query.set_dismax_query(
search_query,
query_fields=field_weights,
)
# Set start and rows parameters (offset and size)
if not offset:
start = (current_page - 1) * sounds_per_page
else:
start = offset
# Process filter
filter_query = search_process_filter(filter_query)
# Process filter for clustering (maybe consider only applying this filter in this case...)
if in_ids:
filter_query = '' # for now we remove all the other filters
if len(in_ids) == 1:
filter_query += ' id:{}'.format(in_ids[0])
else:
filter_query += ' id:'
filter_query += ' OR id:'.join(in_ids)
# Set all options
query.set_query_options(start=start,
rows=sounds_per_page,
field_list=["id"],
filter_query=filter_query,
sort=sort)
# Specify query factes
if include_facets:
query.add_facet_fields("samplerate", "grouping_pack", "username",
"tag", "bitrate", "bitdepth", "type",
"channels", "license")
query.set_facet_options_default(limit=5,
sort=True,
mincount=1,
count_missing=False)
query.set_facet_options("type",
limit=len(
sounds.models.Sound.SOUND_TYPE_CHOICES))
query.set_facet_options("tag", limit=30)
query.set_facet_options("username", limit=30)
query.set_facet_options("grouping_pack", limit=10)
query.set_facet_options("license", limit=10)
# Add groups
if grouping:
query.set_group_field(group_field="grouping_pack")
query.set_group_options(
group_func=None,
group_query=None,
group_rows=10,
group_start=0,
group_limit=
grouping_pack_limit, # This is the number of documents that will be returned for each group. By default only 1 is returned.
group_offset=0,
group_sort=None,
group_sort_ingroup=None,
group_format='grouped',
group_main=False,
group_num_groups=True,
group_cache_percent=0)
return query
def search_prepare_query(
search_query,
filter_query,
sort,
current_page,
sounds_per_page,
id_weight=settings.DEFAULT_SEARCH_WEIGHTS['id'],
tag_weight=settings.DEFAULT_SEARCH_WEIGHTS['tag'],
description_weight=settings.DEFAULT_SEARCH_WEIGHTS['description'],
username_weight=settings.DEFAULT_SEARCH_WEIGHTS['username'],
pack_tokenized_weight=settings.
DEFAULT_SEARCH_WEIGHTS['pack_tokenized'],
original_filename_weight=settings.
DEFAULT_SEARCH_WEIGHTS['original_filename'],
grouping=False,
include_facets=True,
grouping_pack_limit=1,
offset=None):
query = SolrQuery()
field_weights = []
if id_weight != 0:
field_weights.append(("id", id_weight))
if tag_weight != 0:
field_weights.append(("tag", tag_weight))
if description_weight != 0:
field_weights.append(("description", description_weight))
if username_weight != 0:
field_weights.append(("username", username_weight))
if pack_tokenized_weight != 0:
field_weights.append(("pack_tokenized", pack_tokenized_weight))
if original_filename_weight != 0:
field_weights.append(("original_filename", original_filename_weight))
query.set_dismax_query(
search_query,
query_fields=field_weights,
)
if not offset:
start = (current_page - 1) * sounds_per_page
else:
start = offset
query.set_query_options(start=start,
rows=sounds_per_page,
field_list=["id"],
filter_query=filter_query,
sort=sort)
if include_facets:
query.add_facet_fields("samplerate", "grouping_pack", "username",
"tag", "bitrate", "bitdepth", "type",
"channels", "license")
query.set_facet_options_default(limit=5,
sort=True,
mincount=1,
count_missing=False)
query.set_facet_options("type",
limit=len(
sounds.models.Sound.SOUND_TYPE_CHOICES))
query.set_facet_options("tag", limit=30)
query.set_facet_options("username", limit=30)
query.set_facet_options("grouping_pack", limit=10)
query.set_facet_options("license", limit=10)
if grouping:
query.set_group_field(group_field="grouping_pack")
query.set_group_options(
group_func=None,
group_query=None,
group_rows=10,
group_start=0,
group_limit=
grouping_pack_limit, # This is the number of documents that will be returned for each group. By default only 1 is returned.
group_offset=0,
group_sort=None,
group_sort_ingroup=None,
group_format='grouped',
group_main=False,
group_num_groups=True,
group_cache_percent=0)
return query
def tags(request, multiple_tags=None):
if multiple_tags:
multiple_tags = multiple_tags.split('/')
else:
multiple_tags = []
multiple_tags = sorted(filter(lambda x: x, multiple_tags))
try:
current_page = int(request.GET.get("page", 1))
except ValueError:
current_page = 1
solr = Solr(settings.SOLR_URL)
query = SolrQuery()
if multiple_tags:
query.set_query(" ".join("tag:\"" + tag + "\"" for tag in multiple_tags))
else:
query.set_query("*:*")
query.set_query_options(start=(current_page - 1) * settings.SOUNDS_PER_PAGE, rows=settings.SOUNDS_PER_PAGE, field_list=["id"], sort=["num_downloads desc"])
query.add_facet_fields("tag")
query.set_facet_options_default(limit=100, sort=True, mincount=1, count_missing=False)
query.set_group_field(group_field="grouping_pack")
query.set_group_options(group_func=None,
group_query=None,
group_rows=10,
group_start=0,
group_limit=1,
group_offset=0,
group_sort=None,
group_sort_ingroup=None,
group_format='grouped',
group_main=False,
group_num_groups=True,
group_cache_percent=0,
group_truncate=True) # Sets how many results from the same group are taken into account for computing the facets
page = None
num_results = 0
tags = []
error = False
docs = {}
non_grouped_number_of_results = 0
paginator = None
try:
results = SolrResponseInterpreter(solr.select(unicode(query)))
paginator = SolrResponseInterpreterPaginator(results, settings.SOUNDS_PER_PAGE)
num_results = paginator.count
non_grouped_number_of_results = results.non_grouped_number_of_matches
page = paginator.page(current_page)
tags = [dict(name=f[0], count=f[1]) for f in results.facets["tag"]]
docs = results.docs
resultids = [d.get("id") for d in docs]
resultsounds = sounds.models.Sound.objects.bulk_query_id(resultids)
allsounds = {}
for s in resultsounds:
allsounds[s.id] = s
for d in docs:
d["sound"] = allsounds[d["id"]]
except SolrException as e:
error = True
search_logger.error("SOLR ERROR - %s" % e)
except:
error = True
slash_tag = "/".join(multiple_tags)
follow_tags_url = ''
unfollow_tags_url = ''
show_unfollow_button = False
if slash_tag:
follow_tags_url = reverse('follow-tags', args=[slash_tag])
unfollow_tags_url = reverse('unfollow-tags', args=[slash_tag])
show_unfollow_button = False
if request.user.is_authenticated:
show_unfollow_button = follow_utils.is_user_following_tag(request.user, slash_tag)
tvars = {'show_unfollow_button': show_unfollow_button,
'multiple_tags': multiple_tags,
'follow_tags_url': follow_tags_url,
'unfollow_tags_url': unfollow_tags_url,
'error': error,
'tags': tags,
'slash_tag': slash_tag,
'num_results': num_results,
'non_grouped_number_of_results': non_grouped_number_of_results,
'docs': docs,
'paginator': paginator,
'page': page,
'current_page': current_page
}
return render(request, 'sounds/tags.html', tvars)
continue
count = int(count)
results_before += count
# clean the only few things DisMax doesn't like... :)
search = search.strip("+-").replace("--", "").replace("+-", "").replace("-+", "").replace("++", "")
if search == "\"" or search == "\"\"":
search = ""
query = SolrQuery()
query.set_dismax_query(search, query_fields=[("id", 4), ("tag",3), ("description",3), ("username",2), ("pack_original",2), ("filename",2), "comment"])
query.set_query_options(start=0, rows=10, field_list=["id"])
query.add_facet_fields("samplerate", "pack_original", "username", "tag", "bitrate", "bitdepth")
query.set_facet_options_default(limit=5, sort=True, mincount=1, count_missing=True)
query.set_facet_options("tag", limit=30)
query.set_facet_options("username", limit=30)
response = solr.select(unicode(query))
interpreted = SolrResponseInterpreter(response)
num_queries_total += 1
num_queries_this_loop += 1
time_solr += interpreted.q_time
results_solr += interpreted.num_found
except KeyboardInterrupt:
break
except UnicodeDecodeError:
def search_prepare_query(search_query,
filter_query,
sort,
current_page,
sounds_per_page,
id_weight=settings.DEFAULT_SEARCH_WEIGHTS['id'],
tag_weight=settings.DEFAULT_SEARCH_WEIGHTS['tag'],
description_weight=settings.DEFAULT_SEARCH_WEIGHTS['description'],
username_weight=settings.DEFAULT_SEARCH_WEIGHTS['username'],
pack_tokenized_weight=settings.DEFAULT_SEARCH_WEIGHTS['pack_tokenized'],
original_filename_weight=settings.DEFAULT_SEARCH_WEIGHTS['original_filename'],
grouping=False,
include_facets=True,
grouping_pack_limit=1,
offset=None):
query = SolrQuery()
# Set field weights and scoring function
field_weights = []
if id_weight != 0:
field_weights.append(("id", id_weight))
if tag_weight != 0:
field_weights.append(("tag", tag_weight))
if description_weight != 0:
field_weights.append(("description", description_weight))
if username_weight != 0:
field_weights.append(("username", username_weight))
if pack_tokenized_weight != 0:
field_weights.append(("pack_tokenized", pack_tokenized_weight))
if original_filename_weight != 0:
field_weights.append(("original_filename", original_filename_weight))
query.set_dismax_query(search_query,
query_fields=field_weights,)
# Set start and rows parameters (offset and size)
if not offset:
start = (current_page - 1) * sounds_per_page
else:
start = offset
# Process filter
filter_query = search_process_filter(filter_query)
# Set all options
query.set_query_options(start=start, rows=sounds_per_page, field_list=["id"], filter_query=filter_query, sort=sort)
# Specify query factes
if include_facets:
query.add_facet_fields("samplerate", "grouping_pack", "username", "tag", "bitrate", "bitdepth", "type", "channels", "license")
query.set_facet_options_default(limit=5, sort=True, mincount=1, count_missing=False)
query.set_facet_options("type", limit=len(sounds.models.Sound.SOUND_TYPE_CHOICES))
query.set_facet_options("tag", limit=30)
query.set_facet_options("username", limit=30)
query.set_facet_options("grouping_pack", limit=10)
query.set_facet_options("license", limit=10)
# Add groups
if grouping:
query.set_group_field(group_field="grouping_pack")
query.set_group_options(
group_func=None,
group_query=None,
group_rows=10,
group_start=0,
group_limit=grouping_pack_limit, # This is the number of documents that will be returned for each group. By default only 1 is returned.
group_offset=0,
group_sort=None,
group_sort_ingroup=None,
group_format='grouped',
group_main=False,
group_num_groups=True,
group_cache_percent=0)
return query
def tags(request, multiple_tags=None):
if multiple_tags:
multiple_tags = multiple_tags.split('/')
else:
multiple_tags = []
multiple_tags = sorted(filter(lambda x: x, multiple_tags))
try:
current_page = int(request.GET.get("page", 1))
except ValueError:
current_page = 1
query = SolrQuery()
if multiple_tags:
query.set_query(" ".join("tag:\"" + tag + "\""
for tag in multiple_tags))
else:
query.set_query("*:*")
query.set_query_options(start=(current_page - 1) *
settings.SOUNDS_PER_PAGE,
rows=settings.SOUNDS_PER_PAGE,
field_list=["id"],
sort=["num_downloads desc"])
query.add_facet_fields("tag")
query.set_facet_options_default(limit=100,
sort=True,
mincount=1,
count_missing=False)
query.set_group_field(group_field="grouping_pack")
query.set_group_options(
group_func=None,
group_query=None,
group_rows=10,
group_start=0,
group_limit=1,
group_offset=0,
group_sort=None,
group_sort_ingroup=None,
group_format='grouped',
group_main=False,
group_num_groups=True,
group_cache_percent=0,
group_truncate=True
) # Sets how many results from the same group are taken into account for computing the facets
page = None
tags = []
error = False
docs = {}
non_grouped_number_of_results = 0
paginator = None
try:
non_grouped_number_of_results, facets, paginator, page, docs = perform_solr_query(
query, current_page)
tags = [dict(name=f[0], count=f[1]) for f in facets["tag"]]
resultids = [d.get("id") for d in docs]
resultsounds = sounds.models.Sound.objects.bulk_query_id(resultids)
allsounds = {}
for s in resultsounds:
allsounds[s.id] = s
for d in docs:
d["sound"] = allsounds[d["id"]]
except SolrException as e:
error = True
search_logger.warning('Search error: query: %s error %s' % (query, e))
except Exception as e:
error = True
search_logger.error('Could probably not connect to Solr - %s' % e)
slash_tag = "/".join(multiple_tags)
follow_tags_url = ''
unfollow_tags_url = ''
show_unfollow_button = False
if slash_tag:
follow_tags_url = reverse('follow-tags', args=[slash_tag])
unfollow_tags_url = reverse('unfollow-tags', args=[slash_tag])
show_unfollow_button = False
if request.user.is_authenticated:
show_unfollow_button = follow_utils.is_user_following_tag(
request.user, slash_tag)
tvars = {
'show_unfollow_button': show_unfollow_button,
'multiple_tags': multiple_tags,
'follow_tags_url': follow_tags_url,
'unfollow_tags_url': unfollow_tags_url,
'error': error,
'tags': tags,
'slash_tag': slash_tag,
'non_grouped_number_of_results': non_grouped_number_of_results,
'docs': docs,
'paginator': paginator,
'page': page,
'current_page': current_page
}
return render(request, 'sounds/tags.html', tvars)
