def get_kbd_values_for_bibedit(tag, collection="", searchwith="", expression=""):
"""
Dynamically create a dynamic KB for a specific search; search; then destroy it.
This probably isn't the method you want.
Example1: tag=100__a : return values of 100__a
Example2: tag=100__a, searchwith=Jill: return values of 100__a that match with Jill
Example3: tag=100__a, searchwith=Ellis, expression="700__a:*%*: return values of
100__a for which Ellis matches some 700__a
Note: the performace of this function is ok compared to a plain
perform_request_search / get most popular fields -pair. The overhead
is about 5% with large record sets; the lookups are the xpensive part.
@param tag: the tag like 100__a
@param collection: collection id
@param searchwith: the string to search. If empty, match all.
@param expression: the search expression for perform_request_search; if
present, '%' is substituted with /searcwith/. If absent,
/searchwith/ is searched for in /tag/.
"""
dkbname = "tmp_dynamic_"+tag+'_'+expression
kb_id = add_kb(kb_name=dkbname, kb_type='dynamic')
#get the kb name since it may be catenated by a number
#in case there are concurrent calls.
kb_name = get_kb_name(kb_id)
bibknowledge_dblayer.save_kb_dyn_config(kb_id, tag, expression, collection)
#now, get stuff
myvalues = get_kbd_values(kb_name, searchwith)
#the tmp dyn kb is now useless, delete it
delete_kb(kb_name)
return myvalues
def get_kbd_values_for_bibedit(tag, collection="", searchwith="", expression=""):
"""
Dynamically create a dynamic KB for a specific search; search; then destroy it.
This probably isn't the method you want.
Example1: tag=100__a : return values of 100__a
Example2: tag=100__a, searchwith=Jill: return values of 100__a that match with Jill
Example3: tag=100__a, searchwith=Ellis, expression="700__a:*%*: return values of
100__a for which Ellis matches some 700__a
Note: the performace of this function is ok compared to a plain
perform_request_search / get most popular fields -pair. The overhead
is about 5% with large record sets; the lookups are the xpensive part.
@param tag: the tag like 100__a
@param collection: collection id
@param searchwith: the string to search. If empty, match all.
@param expression: the search expression for perform_request_search; if
present, '%' is substituted with /searcwith/. If absent,
/searchwith/ is searched for in /tag/.
"""
dkbname = "tmp_dynamic_"+tag+'_'+expression
kb_id = add_kb(kb_name=dkbname, kb_type='dynamic')
#get the kb name since it may be catenated by a number
#in case there are concurrent calls.
kb_name = get_kb_name(kb_id)
bibknowledge_dblayer.save_kb_dyn_config(kb_id, tag, expression, collection)
#now, get stuff
myvalues = get_kbd_values(kb_name, searchwith)
#the tmp dyn kb is now useless, delete it
delete_kb(kb_name)
return myvalues
def perform_update_kb_config(kb_id, field, expression, collection):
"""
Updates config by calling a db function.
Parameters:
@param kb_id knowledge base id
@param field field configured to be used
@param expression search expression
@param collection search in this collection
"""
#this will complain if the collection does not exist
return bibknowledge_dblayer.save_kb_dyn_config(kb_id, field, expression, collection)
def get_kbd_values_for_bibedit(tag, collection="", searchwith=""):
"""
A specific convenience method: based on a tag and collection, create a temporary dynamic knowledge base
a return its values.
Note: the performace of this function is ok compared to a plain
perform req search / get most popular fields -pair. The overhead is about 5% with large record sets.
@param tag: the tag like 100__a
@param collection: collection id
@param searchwith: the string to search. If empty, match all.
"""
kb_id = add_kb(kb_name="tmp_dynamic", kb_type='dynamic')
#get the kb name since it may be catenated by a number
#in case there are concurrent calls.
kb_name = get_kb_name(kb_id)
bibknowledge_dblayer.save_kb_dyn_config(kb_id, tag, collection, searchwith)
#now, get stuff
myvalues = get_kbd_values(kb_name, searchwith)
#the tmp dyn kb is now useless, delete it
delete_kb(kb_name)
return myvalues
def get_kbd_values_for_bibedit(tag, collection="", searchwith=""):
"""
A specific convenience method: based on a tag and collection, create a temporary dynamic knowledge base
a return its values.
Note: the performace of this function is ok compared to a plain
perform req search / get most popular fields -pair. The overhead is about 5% with large record sets.
@param tag: the tag like 100__a
@param collection: collection id
@param searchwith: the string to search. If empty, match all.
"""
kb_id = add_kb(kb_name="tmp_dynamic", kb_type='dynamic')
#get the kb name since it may be catenated by a number
#in case there are concurrent calls.
kb_name = get_kb_name(kb_id)
bibknowledge_dblayer.save_kb_dyn_config(kb_id, tag, collection, searchwith)
#now, get stuff
myvalues = get_kbd_values(kb_name, searchwith)
#the tmp dyn kb is now useless, delete it
delete_kb(kb_name)
return myvalues
def perform_update_kb_config(kb_id, field, expression, collection):
"""
Updates config by calling a db function.
Parameters:
@param kb_id knowledge base id
@param field field configured to be used
@param expression search expression
@param collection search in this collection
"""
#this will complain if the collection does not exist
return bibknowledge_dblayer.save_kb_dyn_config(kb_id, field, expression,
collection)
def add_dynamic_kb(kbname, tag, collection="", searchwith=""):
"""A convenience method"""
kb_id = add_kb(kb_name=kbname, kb_type='dynamic')
bibknowledge_dblayer.save_kb_dyn_config(kb_id, tag, searchwith, collection)
return kb_id
def add_dynamic_kb(kbname, tag, collection="", searchwith=""):
"""A convenience method"""
kb_id = add_kb(kb_name=kbname, kb_type='dynamic')
bibknowledge_dblayer.save_kb_dyn_config(kb_id, tag, searchwith, collection)
return kb_id
