Verify Users Access the openldap container: ldapsearch -x -LLL -D "cn=admin,dc=wbms,dc=dsn" -w admin -b "dc=wbms,dc=dsn" -s sub "(objectClass=*)" docker-dsnpose exec openldap bash openssl s_client -connect wbms.dsn:389 -starttls ldap -showcerts You can use ldapsearch to verify our user: ldapsearch -x -h openldap -D "uid=ruan,ou=people,dc=wbms,dc=org" -b "ou=people,dc=wbms,dc=org" -w "$PASSWORD" -s base 'uid=ruan' Or we can use ldapwhoami: ldapwhoami -vvv -h ldap://openldap:389 -p 389 -D 'uid=ruan,ou=people,dc=wbms,dc=org' -x -w "$PASSWORD"
ldapadd -W -H ldap://openldap -D 'cn=admin,dc=wbms,dc=dsn' <<LDIF LDIF ldapadd -x -D 'cn=admin,dc=wbms,dc=dsn' -w admin -h ldap://openldap:389 -p 389 -f '/assets/openldap/custom/ldif/bootstrap.ldif' ldapsearch -x -h ldap://openldap:389 -p 389 -D "cn=admin,dc=wbms,dc=dsn" -w admin -s base 'dc=wbms,dc=dsn'
LDAP_HOST=192.168.202.24 LDAP_USERNAME=null LDAP_PASSWORD=null LDAP_BASE_DN="dc=hco,dc=dsngroup,dc=co,dc=id"
Yes, Redis can be used to handle Server-Sent Events (SSE) in a web application. SSE is a technology that allows a web server to push real-time updates to a web browser over a single HTTP connection. While SSE is typically used for simpler real-time scenarios compared to more advanced technologies like WebSockets, Redis can still play a role in implementing SSE.
Here's a basic outline of how you could use Redis to handle SSE:
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Setup SSE Endpoint: In your NestJS application, set up an SSE endpoint that clients (browsers) can connect to. This endpoint will continuously send updates to connected clients.
// sse.controller.ts import { Controller, Get, Req, Res } from '@nestjs/common'; import { Response } from 'express'; import { RedisService } from 'nestjs-redis'; @Controller('sse') export class SSEController { constructor(private readonly redisService: RedisService) {} @Get() async streamSSE(@Req() req, @Res() res: Response): Promise<void> { res.setHeader('Content-Type', 'text/event-stream'); res.setHeader('Cache-Control', 'no-cache'); res.setHeader('Connection', 'keep-alive'); res.flushHeaders(); const client = this.redisService.getClient(); // Subscribe to Redis channel for updates client.subscribe('sse-channel'); client.on('message', (channel, message) => { if (channel === 'sse-channel') { res.write(`data: ${message}\n\n`); } }); // Send initial SSE message res.write('data: Initial SSE message\n\n'); // Handle client disconnection req.on('close', () => { client.unsubscribe('sse-channel'); res.end(); }); } }
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Publish Updates to Redis: In your application's logic (controllers, services, etc.), publish updates to the Redis channel whenever you want to notify connected clients.
// some.service.ts import { Injectable } from '@nestjs/common'; import { RedisService } from 'nestjs-redis'; @Injectable() export class SomeService { constructor(private readonly redisService: RedisService) {} async publishUpdate(message: string): Promise<void> { const client = this.redisService.getClient(); await client.publish('sse-channel', message); } }
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Client-Side Implementation: On the client side (in your ReactJS application), establish a connection to the SSE endpoint and handle incoming updates.
// SSEClient.js const connectSSE = () => { const eventSource = new EventSource('/sse'); eventSource.onmessage = (event) => { const message = event.data; // Handle the incoming message, e.g., update UI }; eventSource.onerror = (error) => { console.error('SSE Error:', error); eventSource.close(); }; }; connectSSE();
By combining Redis with SSE, you can achieve a basic form of real-time communication where updates published by your NestJS application are sent to connected clients in near real-time. Keep in mind that SSE is best suited for scenarios where real-time updates are important but not extremely time-sensitive, as SSE doesn't provide the same level of interactivity as WebSockets.