Dialogflow CX 将实体导入为 CSV

Question

我想创建一个自定义实体类型来保存包含 100 个产品名称的列表。在 Dialogflow ES 中，这很容易做到，因为您只需导入一个包含自定义实体所有条目的 csv。

例如：

"New York City", "New York City", "NYC", "New York City, USA"
"Philadelphia", "Philadelphia", "Philly", "Philadelphia, USA"

可以导入为 csv。

必须为每个自定义实体手动执行此操作将非常繁琐且耗时，因为有数百个这样的项目。

Answer 1

为此查看官方 Dialogflow CX REST API 文档。 https://cloud.google.com/dialogflow/cx/docs/reference/rest/v3/projects.locations.agents.entityTypes/create

下面是一个示例代码，它使用 pandas 读取 sample.csv 中的列 City 并创建一个实体。 Python

import requests
import pandas as pd
from google.oauth2 import service_account
from google.cloud.dialogflowcx_v3beta1.types import entity_type
from google.auth.transport.requests import AuthorizedSession

# sample csv data
# Name,City
# John,New York City
# Alice,Philadelphia

data = pd.read_csv("sample.csv") 
cities = data['City'].tolist()
entity_json = []
for each in cities:
    each_entity_value = {}
    each_entity_value['value'] = each
    each_entity_value['synonyms'] = [each]
    entity_json.append(each_entity_value)
print(entity_json)
print('***************************************')

# download the service account json with the required permissions to call the cx agent
credentials = service_account.Credentials.from_service_account_file(
    'credentials.json')
scoped_credentials = credentials.with_scopes(
    ['https://www.googleapis.com/auth/cloud-platform'])
authed_session = AuthorizedSession(scoped_credentials)
kind = entity_type.EntityType.Kind.KIND_MAP

# configure these variables before running the script
project_id = #YOUR-PROJECT-ID
agent_id = #YOUR-CX-AGENT-ID
location = #AGENT-LOCATION-ID
response = authed_session.post('https://dialogflow.googleapis.com/v3/projects/'+ project_id + '/locations/' + location + '/agents/' + agent_id + '/entityTypes',
                                json={
                                        "kind": kind,
                                        "displayName": "city-names",
                                        "entities": entity_json
                                    }
                                )                        

response_txt = response.text
print(response_txt)

这是要求。

# requirements.txt
# google-cloud-dialogflow-cx==0.5.0
# pandas==1.1.5
# requests==2.21.0
# requests-oauthlib==1.3.0

您始终可以先在 API 资源管理器上尝试，方法是提供所需的参数。

parent: projects/<project-id>/locations/<location>/agents/<agent-id>
languageCode: en
Request body: {
  "displayName": "test",
  "entities": [
    {
      "value": "string",
      "synonyms": [
        "string",
        "str"
      ]
    }
  ],
  "kind": "KIND_MAP"
}

启用凭据并执行。您将获得 200 成功响应，并且将在 CX 代理控制台中创建一个新实体。

Dialogflow CX 将实体导入为 CSV

Dialogflow CX import entities as CSV

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