Table of Contents
- Introduction
- Installation
- Usage
-
Routes and Endpoints
- GET Method - '/'
- POST Method - '/webhook'
- Running the Server
- Testing the Webhook
- Automating Webhook Setup and Testing with Ansible
- Webhooks and Ansible: Brief Explanation:
- Conclusion
1. Introduction
This documentation outlines the functionality and usage of a Flask web server that acts as a webhook listener. The server responds to GET requests to confirm its operational status and listens for POST requests on a designated endpoint to process incoming webhook data.
2. Installation
Before using this code, ensure you have Ansible and Flask installed. You can install Flask using the command:
pip3 install Flask
and pip3 install ansible
3. Usage
The provided code establishes a Flask web server with two primary routes:
from flask import Flask, request
HTTP_METHODS = ['GET', 'POST']
app = Flask(__name__)
# ADD A GET METHOD TO CHECK IF THE SERVER IS RUNNING
@app.route('/', methods=['GET'])
def index():
return "Running!"
@app.route('/webhook', methods=['POST'])
def webhook_listener():
data = request.json
print("Received the data:")
print(data)
return "Success!"
if __name__ == '__main__':
app.run(host="0.0.0.0", port=5000, debug=True)
4. Routes and Endpoints
4.1. GET Method - '/'
This route is designed to verify the server's status. It responds with a simple "Running!" message.
Endpoint: http://localhost:5000/
4.2. POST Method - '/webhook'
This route receives webhook data via a POST request. Upon receiving the request, the server prints the received JSON data and returns a success message.
Endpoint: http://localhost:5000/webhook
5. Running the Server
To start the server, execute the script in a terminal:
python3 script_name.py
Replace script_name.py
with the actual name of the script containing the provided code. The server will run on http://localhost:5000
by default.
6. Testing the Webhook
The code includes a comprehensive unit test suite for evaluating webhook functionality. The test emulates a POST request to the /webhook
endpoint with JSON data.
import unittest
from webhook import app
class TestWebhook(unittest.TestCase):
def setUp(self):
self.app = app.test_client()
def test_webhook_listener(self):
data = {
"key": "value",
"another_key": "another_value"
}
response = self.app.post('/webhook', json=data)
self.assertEqual(response.status_code, 200)
self.assertEqual(response.data.decode('utf-8'), "Webhook working with success!")
if __name__ == '__main__':
unittest.main()
Run the tests using the following command:
python3 test_script_name.py
Replace test_script_name.py
with the name of the test script containing the provided test code.
7. Automating Webhook Setup and Testing with Ansible
This section introduces an Ansible playbook that automates both the setup and testing of the Flask web server and webhook functionality. The playbook initiates the Flask app, waits for it to become operational, and then executes unit tests. To run the playbook, save it as setup_and_test.yml
, replace the path on command
and use the following command:
---
- name: Automate Local Webhook Setup and Test
hosts: localhost
connection: local
gather_facts: false
tasks:
- name: Run Webhook App
command: python3 path/for/your/test/scrip
async: 45
poll: 0
- name: Wait for the app to start
local_action: wait_for
host=127.0.0.1
port=5000
timeout=60
- name: Run unit tests
command: python3 path/for/your/test/scrip
register: result
failed_when: result.rc != 0
changed_when: false
ansible-playbook setup_and_test.yml
8. Webhooks and Ansible: Brief Explanation:
- Webhook: A webhook is a user-defined HTTP callback. It's used to deliver data from one application to another, allowing real-time information exchange.
- Ansible: Ansible is an open-source automation tool that simplifies IT tasks such as configuration management, application deployment, and task automation.
9. Conclusion
The Flask web server and webhook listener offer a straightforward means to manage incoming webhook data. You can modify the code to suit specific data-processing requirements or integrate it into larger applications.
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