def search(collection, p, of, so, rm):
"""
Renders search pages.
"""
if 'action_browse' in request.args:
return browse()
from invenio.websearch_webinterface import wash_search_urlargd
argd = argd_orig = wash_search_urlargd(request.args)
argd['of'] = 'id'
# update search arguments with the search user preferences
if 'rg' not in request.values and current_user.get('rg'):
argd['rg'] = current_user.get('rg')
rg = int(argd['rg'])
collection_breadcrumbs(collection)
qid = get_search_query_id(**argd)
recids = perform_request_search(req=request.get_legacy_request(), **argd)
if so or rm:
recids.reverse()
ctx = dict(
facets=FACETS.config(collection=collection, qid=qid),
records=len(get_current_user_records_that_can_be_displayed(qid)),
qid=qid,
rg=rg,
create_nearest_terms_box=lambda: _create_neareset_term_box(argd_orig),
easy_search_form=EasySearchForm(csrf_enabled=False))
return response_formated_records(recids, collection, of, **ctx)
def browse(collection, p, f, of, so, rm, rg, jrec):
from invenio.websearch_webinterface import wash_search_urlargd
argd_orig = wash_search_urlargd(request.args)
collection_breadcrumbs(collection)
colls = [collection.name] + request.args.getlist('c')
if f is None and ':' in p[1:]:
f, p = string.split(p, ":", 1)
records = map(
lambda (r, h): (r.decode('utf-8'), h),
browse_pattern_phrases(req=request.get_legacy_request(),
colls=colls,
p=p,
f=f,
rg=rg,
ln=g.ln))
@register_template_context_processor
def index_context():
return dict(
collection=collection,
create_nearest_terms_box=lambda: _create_neareset_term_box(
argd_orig),
pagination=Pagination(int(ceil(jrec / float(rg))), rg,
len(records)),
rg=rg,
p=p,
f=f,
easy_search_form=EasySearchForm(csrf_enabled=False),
)
return dict(records=records)
def search(collection, p, of, so, rm):
"""
Renders search pages.
"""
if 'action_browse' in request.args \
or request.args.get('action', '') == 'browse':
return browse()
if 'c' in request.args and len(request.args) == 1 \
and len(request.args.getlist('c')) == 1:
return redirect(url_for('.collection', name=request.args.get('c')))
from invenio.websearch_webinterface import wash_search_urlargd
argd = argd_orig = wash_search_urlargd(request.args)
argd['of'] = 'id'
# update search arguments with the search user preferences
if 'rg' not in request.values and current_user.get('rg'):
argd['rg'] = current_user.get('rg')
rg = int(argd['rg'])
collection_breadcrumbs(collection)
qid = get_search_query_id(**argd)
recids = perform_request_search(req=request.get_legacy_request(), **argd)
#if so or rm:
if len(of) > 0 and of[0] == 'h':
recids.reverse()
# back-to-search related code
if request and not isinstance(request.get_legacy_request(),
cStringIO.OutputType):
# store the last search results page
session['websearch-last-query'] = request.get_legacy_request(
).unparsed_uri
if len(recids) > CFG_WEBSEARCH_PREV_NEXT_HIT_LIMIT:
last_query_hits = None
else:
last_query_hits = recids
# store list of results if user wants to display hits
# in a single list, or store list of collections of records
# if user displays hits split by collections:
session["websearch-last-query-hits"] = last_query_hits
ctx = dict(
facets=FACETS.config(collection=collection, qid=qid),
records=len(get_current_user_records_that_can_be_displayed(qid)),
qid=qid,
rg=rg,
create_nearest_terms_box=lambda: _create_neareset_term_box(argd_orig),
easy_search_form=EasySearchForm(csrf_enabled=False))
return response_formated_records(recids, collection, of, **ctx)
def rss(collection, p, jrec, so, rm):
of = 'xr'
argd = argd_orig = wash_search_urlargd(request.args)
argd['of'] = 'id'
# update search arguments with the search user preferences
if 'rg' not in request.values and current_user.get('rg'):
argd['rg'] = current_user.get('rg')
rg = int(argd['rg'])
qid = get_search_query_id(**argd)
recids = perform_request_search(req=request.get_legacy_request(), **argd)
if so or rm:
recids.reverse()
ctx = dict(records=len(
get_current_user_records_that_can_be_displayed(qid)),
qid=qid,
rg=rg)
return response_formated_records(recids, collection, of, **ctx)
def search():
"""
Renders search pages.
@FIXME: add parameter stream=True
"""
uid = current_user.get_id()
#url_args = SearchUrlargs(user=user, session=session, **request.args)
name = request.args.get('cc')
if name:
collection = Collection.query.filter(Collection.name == name).first_or_404()
else:
collection = Collection.query.get_or_404(1)
if collection.is_restricted:
(auth_code, auth_msg) = acc_authorize_action(uid,
VIEWRESTRCOLL,
collection=collection.name)
if auth_code and current_user.is_guest:
return redirect(url_for('webaccount.login',
referer=request.url))
elif auth_code:
return abort(401)
from invenio.websearch_webinterface import wash_search_urlargd
argd = argd_orig = wash_search_urlargd(request.args)
argd['of'] = 'id'
#FIXME
b = []
def _crumb_builder(collection):
qargs = request.args.to_dict()
qargs['cc'] = collection.name
return (collection.name_ln, 'search.search', qargs)
if collection.id > 1:
qargs = request.args.to_dict()
qargs['cc'] = Collection.query.get_or_404(1).name
b = get_collection_breadcrumbs(collection, [
(_('Home'), 'search.search', qargs)],
builder=_crumb_builder)
current_app.config['breadcrumbs_map'][request.endpoint] = b
rg = request.args.get('rg', 10, type=int)
page = request.args.get('jrec', 1, type=int)
qid = get_search_query_id(**argd)
recids = perform_request_search(req=request, **argd)
if (argd_orig.get('so') or argd_orig.get('rm')):
recids.reverse()
FACET_SORTED_LIST = current_app.config.get('FACET_SORTED_LIST', [])
facets = map(lambda x: x.get_conf(collection=collection, qid=qid),
FACET_SORTED_LIST)
@register_template_context_processor
def index_context():
return dict(collection=collection,
facets=facets,
RecordInfo=RecordInfo,
create_nearest_terms_box=lambda: _create_neareset_term_box(argd_orig),
pagination=Pagination(int(ceil(page / float(rg))), rg, len(recids)),
rg=rg,
qid=qid,
easy_search_form=EasySearchForm(csrf_enabled=False),
format_record=cached_format_record,
#FIXME: move to DB layer
export_formats=get_export_formats())
return dict(recids=recids)
def urlArgs(url):
url_split=urlparse.urlparse(url)[4]
#print url_split
argd = wash_search_urlargd(cgi.parse_qs(url_split))
argd['of']="id"
return argd
