class Entity:
"""
DOCSTRING
"""
def __init__(self, username=None, password=None, version=None):
self.conversation = Conversation(username=username,
password=password,
version=version)
def get_all_entities(self,
workspace_id=None,
export=None,
page_limit=None,
include_count=None,
sort=None,
cursor=None):
response = self.conversation.list_entities(workspace_id=workspace_id,
export=export,
page_limit=page_limit,
include_count=include_count,
sort=sort,
cursor=cursor)
print(json.dumps(response, indent=2))
def create_entity(self,
workspace_id=None,
entity=None,
description=None,
metadata=None,
values=None,
fuzzy_match=False):
response = self.conversation.create_entity(workspace_id=workspace_id,
entity=entity,
description=description,
metadata=metadata,
values=values,
fuzzy_match=fuzzy_match)
print(json.dumps(response, indent=2))
def delete_entity(self, workspace_id=None, entity=None):
self.conversation.delete_entity(workspace_id=workspace_id,
entity=entity)
print("[!]Deleted Entity {}[!]".format(entity))
def get_entity(self, workspace_id=None, entity=None, export=None):
response = self.conversation.get_entity(workspace_id=workspace_id,
entity=entity,
export=export)
print(json.dumps(response, indent=2))
def update_entity(self,
workspace_id=None,
entity=None,
new_entity=None,
new_description=None,
new_metadata=None,
new_fuzzy_match=None,
new_value=None):
response = self.conversation.update_entity(
workspace_id=workspace_id,
entity=entity,
new_entity=new_entity,
new_description=new_description,
new_metadata=new_metadata,
new_fuzzy_match=new_fuzzy_match,
new_values=new_value)
print(json.dumps(response, indent=2))
def _load_entity_data(conversation: ConversationV1 = None,
workspace_id: str = None,
entity_data: pd.DataFrame = None,
config_data: dict = None):
""" Add all the entity data to the target workspace
parameters:
conversation: instance of Conversation from WDC SDK
workspace_id: target workspace id
entity_data: DataFrame of intent data with columns
[action, entity, value, synonym]
config_data: Dict of configuration options
clear_existing: will clear existing examples from target
"""
# optionally destroy any existing entities
try:
if config_data['clear_existing']:
for entity_name in entity_data['entity'].unique():
try:
conversation.delete_entity(workspace_id=workspace_id,
entity=entity_name)
print("entity '{}' removed".format(entity_name))
except WatsonException:
print(("entity '{}' does not exist"
", nothing to remove").format(entity_name))
except KeyError:
print('Invalid config.json file')
# remove all the requested deletions first
rows_to_remove = entity_data[entity_data['action'] == 'REMOVE']
for _, row in rows_to_remove.iterrows():
try:
deletion_type = None
# remove entire entity
if (row['entity'] != '' and row['value'] == ''
and row['synonym'] == ''):
deletion_type = 'ENT'
# remove entire value
elif (row['entity'] != '' and row['value'] != ''
and row['synonym'] == ''):
deletion_type = 'VAL'
# remove single synonym
elif (row['entity'] != '' and row['value'] != ''
and row['synonym'] != ''):
deletion_type = 'SYN'
else:
raise ValueError('Invalid REMOVE in entity data')
# process each type of deletion
# entity deletion
if deletion_type == 'ENT':
try:
# try to delete entity first
conversation.delete_entity(workspace_id=workspace_id,
entity=row['entity'])
print("Entity '{}' removed.".format(row['entity']))
except WatsonException:
try:
# if delete failed, check if it exists
conversation.get_entity(workspace_id=workspace_id,
entity=row['entity'])
print("Entity '{}' failed to remove.".format(
row['entity']))
except WatsonException:
# if it doesn't exist, then there was nothing to
# delete
print(("Entity '{}' does not exist. "
"Nothing to remove").format(row['entity']))
# value deletion
if deletion_type == 'VAL':
try:
# try to delete value first
conversation.delete_value(workspace_id=workspace_id,
entity=row['entity'],
value=row['value'])
print("Value '{}' removed for entity '{}".format(
row['value'], row['entity']))
except WatsonException:
try:
# if delete failed, check if it exists
conversation.get_value(workspace_id=workspace_id,
entity=row['entity'],
value=row['value'])
print(("Value '{}' failed to "
"remove for entity '{}'").format(
row['value'], row['entity']))
except WatsonException:
# if it doesn't exist, then there was nothing to
# delete
print(("Value '{}' does not exist "
"for entity '{}'. Nothing to "
"remove").format(row['value'], row['entity']))
# synonym deletion
if deletion_type == 'SYN':
try:
# try to delete synonym first
conversation.delete_synonym(workspace_id=workspace_id,
entity=row['entity'],
value=row['value'],
synonym=row['synonym'])
print(
("Synonym '{}' from value '{}' removed "
"for entity '{}").format(row['synonym'], row['value'],
row['entity']))
except WatsonException:
try:
# if delete failed, check if it exists
conversation.get_synonym(workspace_id=workspace_id,
entity=row['entity'],
value=row['value'],
synonym=row['synonym'])
print(("Synonym '{}' for value '{}' failed to "
"remove for entity '{}'").format(
row['synonym'], row['value'],
row['entity']))
except WatsonException:
# if it doesn't exist, then there was nothing to
# delete
print(("Synyonym '{}' for value '{}' does not exist "
"for entity '{}'. Nothing to "
"remove").format(row['synonym'], row['value'],
row['entity']))
except ValueError as err:
print(repr(err))
except KeyError:
print('entity data is not properly formed')
# process the additions
# collect all intents and examples into a dictionary
entities_to_add = []
rows_to_add = entity_data[entity_data['action'] == 'ADD']
entities_to_add = list(rows_to_add['entity'].unique())
# iterate through entities
for entity_name in entities_to_add:
new_values = []
# rows containing data on the current entity
entity_rows = rows_to_add[rows_to_add['entity'] == entity_name]
# unique values for that entity
values_to_add = list(entity_rows['value'].unique())
for value in values_to_add:
if value == '':
continue
# rows for current entity and value
value_rows = entity_rows[entity_rows['value'] == value]
# unique synonyms for current entity and value
synonyms = list(value_rows['synonym'].unique())
# remove empty strings
synonyms = [synonym for synonym in synonyms if synonym != '']
value = {"value": value}
if synonyms:
value['synonyms'] = synonyms
new_values.append(value)
try:
# check if there is an existing entity
existing_entity = conversation.get_entity(
workspace_id=workspace_id, entity=entity_name, export=True)
except WatsonException:
existing_entity = None
# if there is no existing entity, we can just create it now
# with the information that we have
if existing_entity is None:
try:
conversation.create_entity(workspace_id=workspace_id,
entity=entity_name,
values=new_values)
print(("Entity '{}' update complete for all "
"values and synyonyms").format(entity_name))
except WatsonException as err:
print(repr(err))
print(("Entity '{}' creation failed for all "
"values and synyonyms").format(entity_name))
# now things get tricky. we need to combine entity values
else:
new_values_names = [value['value'] for value in new_values]
existing_values_names = [value['value'] \
for value in existing_entity['values']]
# dictionaries to make life easier
new_value_dict = {}
existing_value_dict = {}
for value in new_values:
value_name = value['value']
new_value_dict[value_name] = value
for value in existing_entity['values']:
value_name = value['value']
existing_value_dict[value_name] = value
# leave existing, add new ones, and merge intersection
value_names_to_append = list(set(new_values_names) - \
set(existing_values_names))
values_to_merge = list(set(new_values_names) & \
set(existing_values_names))
value_names_to_retain = list(set(existing_values_names) - \
set(new_values_names))
# we'll store the updated value list here
# list is retained + new + merged
final_values = []
# add in the retained
for value_name in value_names_to_retain:
final_values.append(existing_value_dict[value_name])
# add in the new
for value_name in value_names_to_append:
final_values.append(new_value_dict[value_name])
# merge the values that need to be merged
# then add them to the list
for value_name in values_to_merge:
existing_value = existing_value_dict[value_name]
new_value = new_value_dict[value_name]
# confirm that we're working with synonyms
if existing_value['type'] != 'synonyms':
print(("Value type mismatch for value '{}' "
" in entity '{}'. Cannot process value.").format(
value_name, entity_name))
continue
# get a list of the synonyms
# existing synonyms (may be empty set)
try:
existing_synoyms = existing_value['synonyms']
except KeyError:
existing_synoyms = []
# new synonyms (may be empty set)
try:
new_synonyms = new_value['synonyms']
except KeyError:
new_synonyms = []
# merge the set
merged_synonyms = list(set(existing_synoyms + new_synonyms))
# add the new value to the master list
merged_value = existing_value
merged_value['synonyms'] = merged_synonyms
final_values.append(merged_value)
# finally update the original entity
try:
conversation.update_entity(workspace_id=workspace_id,
entity=entity_name,
new_values=final_values)
print(("Entity '{}' update complete for all "
"values and synyonyms").format(entity_name))
except WatsonException as err:
print(final_values)
print(repr(err))
print(("Entity '{}' update failed for all "
"values and synyonyms").format(entity_name))
