Every business is unique, so the Helpdesk system must be flexible for customization to fit specific requirements, whether it's integration with ERP or CRM systems.
Now, anyone can inspect, modify, or utilize the source code of Symfony component-based Enterprise Open Source Helpdesk to deliver better customer support or to build modules on it.
Companies of several industries use UVdesk for delivering flawless customer support.

University Of Baghdad
hsp.uobaghdad.edu.iq/en
Iraq

Open University of Sri Lanka
helpdesk.ou.ac.lk/
Sri Lanka

National AIDS Commission
nac-helpdesk.uvdesk.com/en/
Malawi
class TestSearchInterface(unittest.TestCase): def test_search(self): tester = app.test_client() response = tester.get("/search?query=Test") self.assertEqual(response.status_code, 200)
def collect_data(): # Collect data from APIs and web scraping sources = [ "https://example.com/megamind-api", "https://example.com/megamind-web-page" ]
return jsonify(response["hits"]["hits"])
from elasticsearch import Elasticsearch
class TestIndexingEngine(unittest.TestCase): def test_create_index(self): create_index() self.assertTrue(True)
from flask import Flask, request, jsonify from elasticsearch import Elasticsearch
def test_update_index(self): data = [{"title": "Test", "description": "Test"}] update_index(data) self.assertTrue(True) index of megamind updated
data = [] for source in sources: response = requests.get(source) soup = BeautifulSoup(response.content, 'html.parser') # Extract relevant data data.append({ "title": soup.find("title").text, "description": soup.find("description").text })
def update_index(data): es = Elasticsearch() for item in data: es.index(index="megamind-index", body=item) The search interface will be implemented using a web application framework (e.g., Flask) and will provide a simple search form for users to find Megamind-related content.
return data The indexing engine will be implemented using Elasticsearch and will be responsible for creating and maintaining the index of Megamind-related content. class TestSearchInterface(unittest
import unittest from app import app
app = Flask(__name__)
import requests from bs4 import BeautifulSoup "description": {"type": "text"} } } })
@app.route("/search", methods=["GET"]) def search(): query = request.args.get("query") es = Elasticsearch() response = es.search(index="megamind-index", body={ "query": { "match": { "title": query } } })
def create_index(): es = Elasticsearch() es.indices.create(index="megamind-index", body={ "mappings": { "properties": { "title": {"type": "text"}, "description": {"type": "text"} } } })
UVdesk Open Source Helpdesk is build on
They are usually applied to run dynamic websites or web apps.
We used all together to make UVdesk Open Source easy to set up and host on any hosting which supports LAMP/LEMP
composer create-project uvdesk/community-skeleton helpdesk-project
php bin/console uvdesk:configure-helpdesk
Now you can easily launch UVdesk on AWS using a pre-configured Amazon Machine Image (AMI).
Launch UVdesk on AWS
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Now you can easily install UVdesk using just one click via softaculous.
Installation Guide
UVdesk Open Source has extended the capabilities which can be used for developing modules on it plus easy to scale and enhanced to offer reliable support experience to your customers.
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UVdesk Team is constantly serving to make customer support software feature rich and way flexible to make it a fit helpdesk for any trade. We wish you to join the community to make this Enterprise Helpdesk more featureful and fault free.
Fork on GithubThe added features, upcoming integrations and announcements related to UVdesk Open Source Helpdesk and keep yourself tutored with our blogs.
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