def __init__(self, **kwargs):
super(LogicAdapter, self).__init__(**kwargs)
from chatterbot.conversation.comparisons import levenshtein_distance
from chatterbot.conversation.response_selection import get_first_response
if 'tie_breaking_method' in kwargs:
raise DeprecationWarning(
'The parameter "tie_breaking_method" has been removed. ' +
'Instead, pass a callable to "response_selection_method". ' +
'See documentation for details: ' +
'http://chatterbot.readthedocs.io/en/latest/adapters/response_selection.html#setting-the-response-selection-method'
)
# Import string module parameters
if 'statement_comparison_function' in kwargs:
import_path = kwargs.get('statement_comparison_function')
if isinstance(import_path, str):
kwargs['statement_comparison_function'] = import_module(import_path)
if 'response_selection_method' in kwargs:
import_path = kwargs.get('response_selection_method')
if isinstance(import_path, str):
kwargs['response_selection_method'] = import_module(import_path)
# By default, compare statements using Levenshtein distance
self.compare_statements = kwargs.get(
'statement_comparison_function',
levenshtein_distance
)
# By default, select the first available response
self.select_response = kwargs.get(
'response_selection_method',
get_first_response
)
def __init__(self, **kwargs):
super(LogicAdapter, self).__init__(**kwargs)
from chatterbot.conversation.comparisons import levenshtein_distance
from chatterbot.conversation.response_selection import get_first_response
if 'tie_breaking_method' in kwargs:
raise DeprecationWarning(
'The parameter "tie_breaking_method" has been removed. ' +
'Instead, pass a callable to "response_selection_method". ' +
'See documentation for details: ' +
'http://chatterbot.readthedocs.io/en/latest/adapters/response_selection.html#setting-the-response-selection-method'
)
# Import string module parameters
if 'statement_comparison_function' in kwargs:
import_path = kwargs.get('statement_comparison_function')
if isinstance(import_path, str):
kwargs['statement_comparison_function'] = import_module(
import_path)
if 'response_selection_method' in kwargs:
import_path = kwargs.get('response_selection_method')
if isinstance(import_path, str):
kwargs['response_selection_method'] = import_module(
import_path)
# By default, compare statements using Levenshtein distance
self.compare_statements = kwargs.get('statement_comparison_function',
levenshtein_distance)
# By default, select the first available response
self.select_response = kwargs.get('response_selection_method',
get_first_response)
def __init__(self, **kwargs):
super(ActionAdapter, self).__init__(**kwargs)
delegate_adapter_path = kwargs.get("delegate_adapter")
self.delegate_adapter = import_module(delegate_adapter_path)(
**kwargs) or TerminalAdapter(**kwargs)
self.action_map = kwargs.get("action_map", {})
def add_adapter(self, name, adapter):
NewAdapter = import_module(adapter)
adapter = NewAdapter(self.context, **self.kwargs)
setattr(self.context, name, adapter)
return adapter
def __init__(self, adapter, database_name):
if (type(adapter) == str):
StorageAdapter = import_module(adapter)
else:
StorageAdapter = adapter
self.storage_adapter = StorageAdapter(database_name)
self.recent_statements = []
def __init__(self, name, **kwargs):
kwargs['input_adapter'] = (
'chatterbot.adapters.input.VariableInputTypeAdapter')
kwargs['output_adapter'] = (
'chatterbot.adapters.output.OutputFormatAdapter')
kwargs['output_format'] = 'text'
connector_name = kwargs.get('connector', 'connectors.CurlConnector')
super(FlaskChatBot, self).__init__(name, **kwargs)
self.host = kwargs.get("host", "127.0.0.1")
self.port = kwargs.get("port", 5000)
self.app = Flask(__name__)
ConnectorClass = import_module(connector_name)
self.connector = ConnectorClass(self)
def add_adapter(self, adapter, **kwargs):
NewAdapter = import_module(adapter)
adapter = NewAdapter(**kwargs)
if issubclass(NewAdapter, StorageAdapter):
self.storage_adapters.append(adapter)
elif issubclass(NewAdapter, LogicAdapter):
self.logic.add_adapter(adapter)
elif issubclass(NewAdapter, IOAdapter):
self.io_adapters.append(adapter)
else:
raise UnknownAdapterTypeException()
def process_response(self, statement):
text = statement.text
if not text:
return self.delegate_adapter.process_response(statement)
tokens = text.split()
for token in tokens:
if token[0] == "{" and token[-1] == "}":
action_token = token[1:-1]
action_executor_s = self.action_map.get(action_token)
if action_executor_s:
action_executor = import_module(action_executor_s)
token_response = action_executor()
text = text.replace(token, token_response)
return self.delegate_adapter.process_response(Statement(text))
def load_corpus(corpus_path):
"""
Return the data contained within a specified corpus.
"""
from chatterbot.utils.module_loading import import_module
from types import ModuleType
corpus = import_module(corpus_path)
if isinstance(corpus, ModuleType):
corpora = []
for module in corpus.modules:
for key in list(module.keys()):
corpora.append(module[key])
return corpora
return [corpus]
def __init__(self, name, **kwargs):
kwargs['input_adapter'] = (
'chatterbot.adapters.input.VariableInputTypeAdapter')
kwargs['output_adapter'] = (
'chatterbot.adapters.output.OutputFormatAdapter')
kwargs['output_format'] = 'text'
connector_name = kwargs.get(
'connector',
'connectors.CurlConnector'
)
super(FlaskChatBot, self).__init__(name, **kwargs)
self.host = kwargs.get(
"host",
"127.0.0.1"
)
self.port = kwargs.get(
"port",
5000
)
self.app = Flask(__name__)
ConnectorClass = import_module(connector_name)
self.connector = ConnectorClass(self)
def test_import_module(self):
datetime = import_module('datetime.datetime')
self.assertTrue(hasattr(datetime, 'now'))
def test_import_module(self):
datetime = import_module("datetime.datetime")
self.assertTrue(hasattr(datetime, 'now'))
def __init__(self, adapter, database_name):
StorageAdapter = import_module(adapter)
self.storage_adapter = StorageAdapter(database_name)
self.recent_statements = []
def __init__(self, adapter, database_name):
StorageAdapter = import_module(adapter)
self.storage_adapter = StorageAdapter(database_name)
self.recent_statements = []
