如何在botpress自定义组件中获取json对象？
我正在从botpress调用一个api，该api返回需要在自定义组件中显示的对象列表，但是如果我使用InfaLinkPreview.jsx: "[object Object]"，我总是以字符串console.log(JSON.parse(this.contentArray))的形式获取它，但出现以下异常
Uncaught SyntaxError: Unexpected token o in JSON at position 1
at JSON.parse (<anonymous>)
at eval (eval at render (VM449 lite.bundle.js:10992), <anonymous>:1:18)
at InfaLinkPreview.render (VM449 lite.bundle.js:10992)
at finishClassComponent (react-dom.development.js:14741)
at updateClassComponent (react-dom.development.js:14696)
at beginWork (react-dom.development.js:15644)
at performUnitOfWork (react-dom.development.js:19312)
at workLoop (react-dom.development.js:19352)
at renderRoot (react-dom.development.js:19435)
at performWorkOnRoot (react-dom.development.js:20342)
at performWork (react-dom.development.js:20254)
at performSyncWork (react-dom.development.js:20228)
at requestWork (react-dom.development.js:20097)
at scheduleWork (react-dom.development.js:19911)
at Object.enqueueSetState (react-dom.development.js:11169)
at Web.push../node_modules/react/cjs/react.development.js.Component.setState (react.development.js:335)
似乎我在自定义组件中缺少某些内容。
服务器调用api节点和Infa链接预览节点的屏幕快照，显示 session.response
botpress模拟器屏幕快照，显示 session.response 的值
modules \ custom-component \ src \ content-types \ infa-link-preview.js
const base = require('./_base');
function render(data) {
const events = [];
return [{
type: 'custom',
module: 'custom-component',
component: 'InfaLinkPreview',
text: data.text
}]
}
function renderElement(data, channel) {
if (channel === 'web' || channel === 'api') {
return render(data);
}
return []; // TODO
}
module.exports = {
id: 'custom_linkpreview',
group: 'Custom Component',
title: 'Infa Link Preview',
jsonSchema: {
description: 'Displays content of an array of KB/Docs/Video links',
type: 'object',
required: ['text'],
properties: {
text: {
type: 'string',
title: 'Message'
},
variations: {
type: 'array',
title: 'Alternates (optional)',
items: {
type: 'string',
default: ''
}
},
...base.typingIndicators
}
},
uiSchema: {
text: {
'ui:field': 'i18n_field',
$subtype: 'textarea'
},
variations: {
'ui:options': {
orderable: false
}
}
},
computePreviewText: formData => 'Infa Link Preview: ' + formData.text,
renderElement: renderElement
}
modules \ custom-component \ src \ views \ lite \ components \ InfaLinkPreview.jsx
export class InfaLinkPreview extends React.Component {
noAnswer = "Sorry no answer found."
contentArray = this.props.text
getTimestamp = () => {
let date = new Date();
let options = {
month: "short",
day: "numeric", hour: "2-digit", minute: "2-digit"
};
return date.toLocaleTimeString("en-us", options);
}
render() {
console.log("InfaLinkPreview.jsx: " + JSON.stringify(this.contentArray));
if (this.contentArray[0].query_status == "answer_available") {
return (
<div className="linkPreviewMain">
<p className="linkPreviewTitle"><b>{this.contentArray[0].answer[1].title}</b></p>
<p className="linkPreviewDesc">{this.contentArray[0].answer[1].content}</p>
<small className="linkPreviewTimestamp">{this.getTimestamp()}</small>
</div>
)
} else {
return (
<div className="infaTextMain">
<p className="infaTextMessage">{this.noAnswer}</p>
<small className="infaTextTimestamp">{this.getTimestamp()}</small>
</div>
)
}
}
}
注意：使用botpress v11.9.5
更新，带有网络响应。。在此JSON中， session.response 是正确的，但 responses.text 以[object Object]开头。因此，以某种方式向InfaLinkPreview组件提供 session.response 时，这是错误的。
请帮助我找出infa-link-preview.js或InfaLinkPreview.jsx文件中出了什么问题。
{
"responses": [{
"type": "custom",
"module": "custom-component",
"component": "InfaLinkPreview",
"text": "[object Object]"
}
],
"nlu": {
"entities": [],
"language": "en",
"slots": {},
"intent": {
"name": "none",
"confidence": 1,
"context": "global"
},
"intents": [{
"name": "none",
"confidence": 1,
"context": "global"
}
],
"errored": false,
"includedContexts": ["global"],
"ms": 738
},
"suggestions": [],
"state": {
"user": {},
"context": {},
"session": {
"lastMessages": [{
"eventId": "156183685440297440",
"incomingPreview": "hii",
"replyConfidence": 1,
"replySource": "dialogManager",
"replyDate": "2019-06-29T19:34:17.244Z",
"replyPreview": "#!custom_infatext--mgyiK"
}, {
"eventId": "156183685440297440",
"incomingPreview": "hii",
"replyConfidence": 1,
"replySource": "dialogManager",
"replyDate": "2019-06-29T19:34:17.260Z",
"replyPreview": "#!builtin_single-choice-FxG4EN"
}, {
"eventId": "156183686163322750",
"incomingPreview": "No",
"replyConfidence": 1,
"replySource": "dialogManager",
"replyDate": "2019-06-29T19:34:24.103Z",
"replyPreview": "#!custom_infatext-ZSUgWA"
}, {
"eventId": "156183686163322750",
"incomingPreview": "No",
"replyConfidence": 1,
"replySource": "dialogManager",
"replyDate": "2019-06-29T19:34:24.106Z",
"replyPreview": "#!custom_infatext-bO33uu"
}, {
"eventId": "156183688271887300",
"incomingPreview": "How to install secure agent on linux?",
"replyConfidence": 1,
"replySource": "dialogManager",
"replyDate": "2019-06-29T19:34:47.378Z",
"replyPreview": "#!custom_linkpreview-Zple6W"
}
],
"extractedSlots": {},
"response": [{
"answer": {
"1": {
"content": "this article provides details on how the nnn secure\nagent can be installed on linux the steps are as follows 1 log on to your\nnnn org and download the linux secure agent installer agent64_install bin 2 log on to linux server as non root user and create a directory the secure agent will be\ninstalled in this directory for example in our environment we logged on\nto linux machine as a non root user admin\nand created a directory mylinuxagent 3 copy the downloaded agent installer file to the linux server\nand run agent64_install bin as shown in the following screenshots 4 once the installation is complete navigate to mylinuxagent apps agentcore directory and start the secure agent using the command infaagent\nstartup 5 now run the command consoleagentmanager sh\n getstatus to get information on the status of the secure agent 6 the above screenshot indicates that the secure agent needs to be registered with your\nnnn org run consoleagentmanager sh configure and enter your nnn org username and password admin aaaa agentcore consoleagentmanager sh configure test nnn com test123\njava_home data admin mylinuxagent apps agentcore jre\nlogin succeeds admin aaaa agentcore consoleagentmanager sh isconfigured\njava_home data admin mylinuxagent apps agentcore jre\ntrue 7 using the commands shown in step 6 above the secure agent should get registered with your nnn org check the status of the secure agent a couple of times\nusing consoleagentmanager sh getstatus after some time the status should get changed to ready which indicates that\nthe secure agent has been installed successfully and is fully up and running 8 login to your nnn org configure runtime environments and click on the linux secure agent the process server\nand the data integration server should be up and running one thing to note is that in the above screenshot the\nprocess server component of the secure agent will be available only if your nnn org is licensed for\nnnn cloud realtime icrt",
"source": "KB",
"title": "Install nnn Secure Agent on Linux",
"url": "https://kb.nnn.com/howto/6/Pages/20/513826.aspx"
},
"2": {
"content": "silent install to specified target location can be done by using the following command agent64_install bin i silent duser_install_dir target directory ",
"source": "KB",
"title": "Install a Linux secure agent in a specified location using Silent install",
"url": "https://ncom/howto/6/Pages/19/5094.aspx"
},
"3": {
"actual_title": "Install and register the Secure Agent on Linux",
"content": "",
"name": {
"NERAction": ["install", "register"],
"NERComponent": ["secure_agent"],
"NEROS": ["linux"]
},
"source": "DOC",
"title": "Install and register the Secure Agent on Linux",
"url": "https://n/install-and-register-the-secure-agent-on-linux.html"
}
},
"query_status": "answer_available"
}
]
},
"temp": {}
},
"decision": {
"decision": {
"reason": "no suggestion matched",
"status": "elected"
},
"confidence": 1,
"payloads": [],
"source": "decisionEngine",
"sourceDetails": "execute default flow"
}
}
2 个答案:
答案 0 :(得分：3)
尝试以下2种更改，它应该可以工作
{
type: 'custom',
module: 'custom-component',
component: 'InfaLinkPreview',
text: data.text,
response: {
data
}
}
和
contentArray = JSON.parse(this.props.response.data.session.response)
答案 1 :(得分：0)
我将使用变量text来表示您的JSON数据。好像在流中某处调用了text.toString()，将其转换为[object Object]，而当您调用JSON.stringify(text)时，您就可以了。我建议您查看整个程序流程，并检查JSON对象上某处是否有不必要的toString()调用。
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