在 python 环境中从 Dialogflow 获取意图、实体和训练数据
Obtain Intents, Entities and the training data from Dialogflow in the python environment
我想知道是否有什么方法可以获得所有的意图(它对应的问题),实体和训练数据(我在Google Dialogflow) 以编程方式 使用 python.
以下是我从 dialogflow 获得响应的代码(工作正常)。
GOOGLE_APPLICATION_CREDENTIALS = '###'
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] =
GOOGLE_APPLICATION_CREDENTIALS
def dialogflow_api_response(text):
session_client = dialogflow.SessionsClient()
session = session_client.session_path('###', '##')
text_input = dialogflow.types.TextInput(text=text, language_code='en')
query_input = dialogflow.types.QueryInput(text=text_input)
response = session_client.detect_intent(session=session, query_input=query_input)
jsonObj = MessageToJson(response)
x = json.loads(jsonObj)
如果有,请指点一下。
谢谢
是的,可以使用 Dilogflow API 作为 JSON 对象从 Dialogflow 代理获取所有意图、实体、unserEntities 和上下文。这是获取意向列表的代码:
def list_intents(project_id):
import dialogflow_v2 as dialogflow
intents_client = dialogflow.IntentsClient()
parent = intents_client.project_agent_path(project_id)
intents = intents_client.list_intents(parent)
for intent in intents:
print('=' * 20)
print('Intent name: {}'.format(intent.name))
print('Intent display_name: {}'.format(intent.display_name))
print('Action: {}\n'.format(intent.action))
print('Root followup intent: {}'.format(
intent.root_followup_intent_name))
print('Parent followup intent: {}\n'.format(
intent.parent_followup_intent_name))
print('Input contexts:')
for input_context_name in intent.input_context_names:
print('\tName: {}'.format(input_context_name))
print('Output contexts:')
for output_context in intent.output_contexts:
print('\tName: {}'.format(output_context.name))
for training_phrase in intent.training_phrases:
train_phrase = training_phrase.parts[0].text
print(train_phrase)
更多信息可以参考DF官方gitHubhere
我想知道是否有什么方法可以获得所有的意图(它对应的问题),实体和训练数据(我在Google Dialogflow) 以编程方式 使用 python.
以下是我从 dialogflow 获得响应的代码(工作正常)。
GOOGLE_APPLICATION_CREDENTIALS = '###'
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] =
GOOGLE_APPLICATION_CREDENTIALS
def dialogflow_api_response(text):
session_client = dialogflow.SessionsClient()
session = session_client.session_path('###', '##')
text_input = dialogflow.types.TextInput(text=text, language_code='en')
query_input = dialogflow.types.QueryInput(text=text_input)
response = session_client.detect_intent(session=session, query_input=query_input)
jsonObj = MessageToJson(response)
x = json.loads(jsonObj)
如果有,请指点一下。
谢谢
是的,可以使用 Dilogflow API 作为 JSON 对象从 Dialogflow 代理获取所有意图、实体、unserEntities 和上下文。这是获取意向列表的代码:
def list_intents(project_id):
import dialogflow_v2 as dialogflow
intents_client = dialogflow.IntentsClient()
parent = intents_client.project_agent_path(project_id)
intents = intents_client.list_intents(parent)
for intent in intents:
print('=' * 20)
print('Intent name: {}'.format(intent.name))
print('Intent display_name: {}'.format(intent.display_name))
print('Action: {}\n'.format(intent.action))
print('Root followup intent: {}'.format(
intent.root_followup_intent_name))
print('Parent followup intent: {}\n'.format(
intent.parent_followup_intent_name))
print('Input contexts:')
for input_context_name in intent.input_context_names:
print('\tName: {}'.format(input_context_name))
print('Output contexts:')
for output_context in intent.output_contexts:
print('\tName: {}'.format(output_context.name))
for training_phrase in intent.training_phrases:
train_phrase = training_phrase.parts[0].text
print(train_phrase)
更多信息可以参考DF官方gitHubhere