def test_kb_for_bibedit(self):
"""bibknowledge - test a bibedit-style *very* dynamic kb"""
from invenio.bibknowledge import get_kbd_values_for_bibedit
myvalues = get_kbd_values_for_bibedit("100__a",
searchwith="Ellis",
expression="100__a:*%*")
self.assertEqual(1, len(myvalues))
def test_kb_for_bibedit(self):
"""bibknowledge - test a dynamic db"""
myvalues = get_kbd_values_for_bibedit("100__a", "", "Ellis")
self.assertEqual(1, len(myvalues))
def test_kb_for_bibedit(self):
"""bibknowledge - test a dynamic db"""
myvalues = get_kbd_values_for_bibedit("100__a", "", "Ellis")
self.assertEqual(1, len(myvalues))
def test_kb_for_bibedit(self):
"""bibknowledge - test a bibedit-style *very* dynamic kb"""
myvalues = get_kbd_values_for_bibedit("100__a", searchwith="Ellis", expression="100__a:*%*")
self.assertEqual(1, len(myvalues))
def perform_request_autocomplete(request_type, recid, uid, data):
"""
Perfrom an AJAX request associated with the retrieval of autocomplete
data.
Arguments:
request_type: Type of the currently served request
recid: the identifer of the record
uid: The identifier of the user being currently logged in
data: The request data containing possibly important additional
arguments
"""
response = {}
# get the values based on which one needs to search
searchby = data["value"]
# we check if the data is properly defined
fulltag = ""
if data.has_key("maintag") and data.has_key("subtag1") and data.has_key("subtag2") and data.has_key("subfieldcode"):
maintag = data["maintag"]
subtag1 = data["subtag1"]
subtag2 = data["subtag2"]
u_subtag1 = subtag1
u_subtag2 = subtag2
if (not subtag1) or (subtag1 == " "):
u_subtag1 = "_"
if (not subtag2) or (subtag2 == " "):
u_subtag2 = "_"
subfieldcode = data["subfieldcode"]
fulltag = maintag + u_subtag1 + u_subtag2 + subfieldcode
if request_type == "autokeyword":
# call the keyword-form-ontology function
if fulltag and searchby:
items = get_kbt_items_for_bibedit(CFG_BIBEDIT_KEYWORD_TAXONOMY, CFG_BIBEDIT_KEYWORD_RDFLABEL, searchby)
response["autokeyword"] = items
if request_type == "autosuggest":
# call knowledge base function to put the suggestions in an array..
if fulltag and searchby and len(searchby) > 3:
suggest_values = get_kbd_values_for_bibedit(fulltag, "", searchby)
# remove ..
new_suggest_vals = []
for sugg in suggest_values:
if sugg.startswith(searchby):
new_suggest_vals.append(sugg)
response["autosuggest"] = new_suggest_vals
if request_type == "autocomplete":
# call the values function with the correct kb_name
if CFG_BIBEDIT_AUTOCOMPLETE_TAGS_KBS.has_key(fulltag):
kbname = CFG_BIBEDIT_AUTOCOMPLETE_TAGS_KBS[fulltag]
# check if the seachby field has semicolons. Take all
# the semicolon-separated items..
items = []
vals = []
if searchby:
if searchby.rfind(";"):
items = searchby.split(";")
else:
items = [searchby.strip()]
for item in items:
item = item.strip()
kbrvals = get_kbr_values(kbname, item, "", "e") # we want an exact match
if kbrvals and kbrvals[0]: # add the found val into vals
vals.append(kbrvals[0])
# check that the values are not already contained in other
# instances of this field
record = get_cache_file_contents(recid, uid)[2]
xml_rec = print_rec(record)
record, status_code, dummy_errors = create_record(xml_rec)
existing_values = []
if status_code != 0:
existing_values = record_get_field_values(record, maintag, subtag1, subtag2, subfieldcode)
# get the new values.. i.e. vals not in existing
new_vals = vals
for val in new_vals:
if val in existing_values:
new_vals.remove(val)
response["autocomplete"] = new_vals
response["resultCode"] = CFG_BIBEDIT_AJAX_RESULT_CODES_REV["autosuggestion_scanned"]
return response
