def get_kbd_values(kbname, searchwith=""):
"""Return a list of values by searching a dynamic kb.
@param kbname: name of the knowledge base
@param searchwith: a term to search with
"""
import search_engine
#first check that the kb in question is dynamic
kbid = bibknowledge_dblayer.get_kb_id(kbname)
if not kbid:
return []
kbtype = bibknowledge_dblayer.get_kb_type(kbid)
if not kbtype:
return []
if kbtype != 'd':
return []
#get the configuration so that we see what the field is
confdict = bibknowledge_dblayer.get_kb_dyn_config(kbid)
if not confdict:
return []
if not confdict.has_key('field'):
return []
field = confdict['field']
expression = confdict['expression']
collection = ""
if confdict.has_key('collection'):
collection = confdict['collection']
reclist = [] #return this
if searchwith and expression:
if (expression.count('%') > 0):
expression = expression.replace("%", searchwith)
reclist = search_engine.perform_request_search(p=expression,
cc=collection)
else:
#no %.. just make a combination
expression = expression + " and "+searchwith
reclist = search_engine.perform_request_search(p=expression,
cc=collection)
else: #either no expr or no searchwith.. but never mind about searchwith
if expression: #in this case: only expression
reclist = search_engine.perform_request_search(p=expression, cc=collection)
else:
#make a fake expression so that only records that have this field
#will be returned
fake_exp = "/.*/"
if searchwith:
fake_exp = searchwith
reclist = search_engine.perform_request_search(f=field, p=fake_exp, cc=collection)
if reclist:
fieldvaluelist = search_engine.get_most_popular_field_values(reclist,
field)
val_list = []
for f in fieldvaluelist:
(val, dummy) = f
val_list.append(val)
return val_list
return [] #in case nothing worked
def get_kbd_values(kbname, searchwith=""):
"""Return a list of values by searching a dynamic kb.
@param kbname: name of the knowledge base
@param searchwith: a term to search with
"""
import search_engine
#first check that the kb in question is dynamic
kbid = bibknowledge_dblayer.get_kb_id(kbname)
if not kbid:
return []
kbtype = bibknowledge_dblayer.get_kb_type(kbid)
if not kbtype:
return []
if kbtype != 'd':
return []
#get the configuration so that we see what the field is
confdict = bibknowledge_dblayer.get_kb_dyn_config(kbid)
if not confdict:
return []
if not confdict.has_key('field'):
return []
field = confdict['field']
expression = confdict['expression']
collection = ""
if confdict.has_key('collection'):
collection = confdict['collection']
reclist = [] #return this
if searchwith and expression:
if (expression.count('%') > 0):
expression = expression.replace("%", searchwith)
reclist = search_engine.perform_request_search(p=expression,
cc=collection)
else:
#no %.. just make a combination
expression = expression + " and "+searchwith
reclist = search_engine.perform_request_search(p=expression,
cc=collection)
else: #either no expr or no searchwith.. but never mind about searchwith
if expression: #in this case: only expression
reclist = search_engine.perform_request_search(p=expression, cc=collection)
else:
#make a fake expression so that only records that have this field
#will be returned
fake_exp = "/.*/"
if searchwith:
fake_exp = searchwith
reclist = search_engine.perform_request_search(f=field, p=fake_exp, cc=collection)
if reclist:
fieldvaluelist = search_engine.get_most_popular_field_values(reclist,
field)
val_list = []
for f in fieldvaluelist:
(val, dummy) = f
val_list.append(val)
return val_list
return [] #in case nothing worked
def get_kbd_values(kbname, searchwith=""):
"""
To be used by bibedit. Returns a list of values based on a dynamic kb.
@param kbname: name of the knowledge base
@param searchwith: a term to search with
"""
import search_engine
#first check that the kb in question is dynamic
kbid = bibknowledge_dblayer.get_kb_id(kbname)
if not kbid:
return []
kbtype = bibknowledge_dblayer.get_kb_type(kbid)
if not kbtype:
return []
if kbtype != 'd':
return []
#get the configuration so that we see what the field is
confdict = bibknowledge_dblayer.get_kb_dyn_config(kbid)
if not confdict:
return []
if not confdict.has_key('field'):
return []
field = confdict['field']
expression = confdict['expression']
collection = ""
if confdict.has_key('collection'):
collection = confdict['collection']
reclist = [] #return this
#see if searchwith is a quoted expression
if searchwith:
if not searchwith.startswith("'"):
searchwith = "'"+searchwith
if not searchwith.endswith("'"):
searchwith = searchwith+"'"
if searchwith and expression:
if (expression.count('%') > 0) or (expression.endswith(":*")):
expression = expression.replace("%", searchwith)
expression = expression.replace(":*", ':'+searchwith)
else:
#no %.. just make a combination
expression = expression + "and "+searchwith
reclist = search_engine.perform_request_search(p=expression,
cc=collection)
else: #either no expr or no searchwith.. but never mind about searchwith
if expression:
reclist = search_engine.perform_request_search(p=expression, cc=collection)
else:
#make a fake expression so that only records that have this field
#will be returned
fake_exp = "/.*/"
if searchwith:
fake_exp = searchwith
reclist = search_engine.perform_request_search(f=field, p=fake_exp, cc=collection)
if reclist:
fieldvaluelist = search_engine.get_most_popular_field_values(reclist,
field)
val_list = []
for f in fieldvaluelist:
(val, dummy) = f
#support "starts with",
#indicated by the * at the end of the searchstring
if searchwith and (len(searchwith) > 2) and (searchwith[-2] == '*'):
if (val.startswith(searchwith[1:-3])):
val_list.append(val)
else:
val_list.append(val)
return val_list
return [] #in case nothing worked
def get_kbd_values(kbname, searchwith=""):
"""
To be used by bibedit. Returns a list of values based on a dynamic kb.
@param kbname: name of the knowledge base
@param searchwith: a term to search with
"""
import search_engine
#first check that the kb in question is dynamic
kbid = bibknowledge_dblayer.get_kb_id(kbname)
if not kbid:
return []
kbtype = bibknowledge_dblayer.get_kb_type(kbid)
if not kbtype:
return []
if kbtype != 'd':
return []
#get the configuration so that we see what the field is
confdict = bibknowledge_dblayer.get_kb_dyn_config(kbid)
if not confdict:
return []
if not confdict.has_key('field'):
return []
field = confdict['field']
expression = confdict['expression']
collection = ""
if confdict.has_key('collection'):
collection = confdict['collection']
reclist = [] #return this
#see if searchwith is a quoted expression
if searchwith:
if not searchwith.startswith("'"):
searchwith = "'" + searchwith
if not searchwith.endswith("'"):
searchwith = searchwith + "'"
if searchwith and expression:
if (expression.count('%') > 0) or (expression.endswith(":*")):
expression = expression.replace("%", searchwith)
expression = expression.replace(":*", ':' + searchwith)
else:
#no %.. just make a combination
expression = expression + "and " + searchwith
reclist = search_engine.perform_request_search(p=expression,
cc=collection)
else: #either no expr or no searchwith.. but never mind about searchwith
if expression:
reclist = search_engine.perform_request_search(p=expression,
cc=collection)
else:
#make a fake expression so that only records that have this field
#will be returned
fake_exp = "/.*/"
if searchwith:
fake_exp = searchwith
reclist = search_engine.perform_request_search(f=field,
p=fake_exp,
cc=collection)
if reclist:
fieldvaluelist = search_engine.get_most_popular_field_values(
reclist, field)
val_list = []
for f in fieldvaluelist:
(val, dummy) = f
#support "starts with",
#indicated by the * at the end of the searchstring
if searchwith and (len(searchwith) > 2) and (searchwith[-2]
== '*'):
if (val.startswith(searchwith[1:-3])):
val_list.append(val)
else:
val_list.append(val)
return val_list
return [] #in case nothing worked
