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HTTP connector-obtain and save instance comment records in batches

1. Usage scenarios

This example describes how to use the DingTalk open platform OpenAPI to obtain YIDA instance comment records in batches and store them in a form.

1.1. Connector introduction document

2. Implement functions

2.1. Apply for DingTalk open platform application credentials and interface permissions

If you have applied, you can ignore this step.

2.2. Create an HTTP connector

The connector used in this example:

Query comments on YIDA form instances in batches

2.2.1. Create an HTTP connector

2.2.2. Configure basic connector information and logon methods

2.2.3. Configure connector execution actions

Interface request:

Body parameter:

{
"formUuid" : "String",
"appType" : "String",
"systemToken" : "String",
"formInstanceIdList" : [ "String" ],
"userId" : "String"
}

Headers parameters:

Content-Type:application/json

The interface returns:

{
"formRemarkVoMap": ""
}

2.2.4. Configure authentication templates

If you do not have an account, you must add an account. For more information about the parameters required for the account, see 2.1:

For more information about the authentication template, see:

此处为语雀内容卡片,点击链接查看:YIDA custom connector authentication template configuration

2.3. On the YIDA configuration page, configure integration automation

2.3.1. Configuration process page

Submit the process page data

2.3.2. Configuration Table sheet page

Create a comment form-> store Process comment data

2.3.3. Configuration integration automation

2.3.3.1. [Flow chart] comment succeeded-> store comment content

[Flow chart] after the comment is successful-> configure the script node processing field format -> use the connector to obtain comments in batches-> configure the script node to process the comments returned by the connector-> Add data node to store comments to the comment content].

Script Node processing parameter format:

outputs.add("formInstanceIdList","formInstanceIdList",[value1]);
outputs.add("提交人userId","subUserId",value2?JSON.parse(value2)[0]:'');

The connector obtains process comments in batches:

Note the parameters required to configure the connector:

formUuid, appType, systemTokenView path:System Background-> Application Settings-> deployment O & M.

Script Node processing comment content return parameters:

var nowDataResult = result[value1] || [];
var sortResult = nowDataResult.sort(function (now, next) {
return new Date(now.gmtCreate).getTime() - new Date(next.gmtCreate).getTime();
});
var firstResult = sortResult[sortResult.length - 1];
var imgs = (firstResult.images ? JSON.parse(firstResult.images) : []).map(function (item) {
return {
downloadUrl: item.imageUrl,
previewUrl: item.imageUrl,
url: item.imageUrl,
name: item.fileName,
};
});
var files = (firstResult.files ? JSON.parse(firstResult.files) : []).map(function (item) {
return {
downloadUrl: item.downloadUrl,
previewUrl: item.downloadUrl,
url: item.downloadUrl,
name: item.fileName,
};
});
outputs.add("评论人","creator",[firstResult.creator]);
outputs.add("at人员","atUser",(firstResult.atUserId || '').split(','));
outputs.add("评论时间","gmtCreate",String(new Date(firstResult.gmtCreate.replace('T', ' ').substr(0, 16)).getTime()));
outputs.add("评论内容","text",firstResult.content);
outputs.add("评论图片","imgs",imgs);
outputs.add("评论附件","files",files);

Add data to the comment form:

2.3.3.2. [Flow chart] delete comments for details and automatically clean up [comments]]

Comment deleted-> get data node, get [Comment content] data-> delete node, delete historical data.

Get comment data:

Delete comment data:

3. Effect

Comments stored successfully:

4. Try it online

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