Discussion on technical solutions for realizing real-time collaboration by docking with DingTalk interface

Discussion on technical solutions to achieve real-time collaboration by docking with DingTalk interface

DingTalk is a popular enterprise-level instant messaging tool that can be used for internal collaboration, task allocation, notification release and other functions . In order to achieve docking with the DingTalk interface, we can implement more personalized functions. This article will discuss how to implement technical solutions for real-time collaboration through docking with the DingTalk interface, and give code examples.

1. Overview of DingTalk interfaces

DingTalk provides a rich set of interfaces that can be connected to external systems. The most important of them are DingTalk’s enterprise application interface and DingTalk robot interface. The enterprise application interface can be used to manage the registration, installation, and authorization of internal enterprise applications. Through this interface, you can create customized workbench applications and various customized workbench components in DingTalk. The DingTalk robot interface can be used to send various types of messages to DingTalk groups.

2. Real-time collaboration technology solution design

By connecting to the DingTalk interface, we can realize real-time collaboration functions, including message sending, task allocation, file sharing, etc. The following is a technical solution design for real-time collaboration:

1. Register an enterprise application and obtain access_token

First, you need to register an enterprise application on the DingTalk open platform and obtain a unique corpid and corpsecret. Then obtain the access_token through the enterprise application interface, which is the credential used to make interface calls.

Code example:

import requests

def get_access_token(corpid, corpsecret):
    url = 'https://oapi.dingtalk.com/gettoken?corpid={}&corpsecret={}'.format(corpid, corpsecret)
    response = requests.get(url)
    access_token = response.json().get('access_token')
    return access_token

corpid = 'your_corpid'
corpsecret = 'your_corpsecret'
access_token = get_access_token(corpid, corpsecret)

2. Send a message to the group

Through the DingTalk robot interface, we can send messages to the specified DingTalk group Group.

Code example:

import requests

def send_message(access_token, chat_id, content):
    url = 'https://oapi.dingtalk.com/robot/send?access_token={}'.format(access_token)
    headers = {'Content-Type': 'application/json'}
    data = {
        'msgtype': 'text',
        'chat_id': chat_id,
        'text': {
            'content': content
        }
    }
    response = requests.post(url, headers=headers, json=data)
    result = response.json()
    return result

access_token = 'your_access_token'
chat_id = 'your_chat_id'
content = 'Hello, World!'
send_message(access_token, chat_id, content)

3. Assigning tasks

Tasks can be implemented by sending messages on DingTalk and including task-related information in the messages distribution. You can specify the recipient of the task through the @ function of the DingTalk group.

Code example:

import requests

def send_task(access_token, chat_id, content, assignees):
    url = 'https://oapi.dingtalk.com/robot/send?access_token={}'.format(access_token)
    headers = {'Content-Type': 'application/json'}
    data = {
        'msgtype': 'text',
        'chat_id': chat_id,
        'text': {
            'content': '@{} {}'.format(assignees, content)
        }
    }
    response = requests.post(url, headers=headers, json=data)
    result = response.json()
    return result

access_token = 'your_access_token'
chat_id = 'your_chat_id'
content = 'Please complete the task'
assignees = 'user1'
send_task(access_token, chat_id, content, assignees)

4. File sharing

You can send file messages through the DingTalk robot interface to share files to specified groups.

Code sample:

import requests

def send_file(access_token, chat_id, file_url):
    url = 'https://oapi.dingtalk.com/robot/send?access_token={}'.format(access_token)
    headers = {'Content-Type': 'application/json'}
    data = {
        'msgtype': 'file',
        'chat_id': chat_id,
        'file': {
            'url': file_url
        }
    }
    response = requests.post(url, headers=headers, json=data)
    result = response.json()
    return result

access_token = 'your_access_token'
chat_id = 'your_chat_id'
file_url = 'https://example.com/file.pdf'
send_file(access_token, chat_id, file_url)

3. Summary

By connecting with the DingTalk interface, we can implement real-time collaboration functions, such as sending messages, task assignments, and file sharing, etc. . By connecting the technical solution of DingTalk interface, enterprise applications can be seamlessly integrated with DingTalk to improve office efficiency and collaboration effects. This article gives a technical solution for docking with the DingTalk interface, and provides code examples for readers' reference. I hope it can be helpful to developers who implement real-time collaboration functions.

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