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"StreamGraph"
This video demonstrates how to use the "StreamGraph" template.
import logging
from gunicorn.app.base import BaseApplication
from app_init import create_initialized_flask_app
# Flask app creation should be done by create_initialized_flask_app to avoid circular dependency problems.
app = create_initialized_flask_app()
# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
class StandaloneApplication(BaseApplication):
def __init__(self, app, options=None):
self.application = app
self.options = options or {}
super().__init__()
def load_config(self):
# Apply configuration to Gunicorn
for key, value in self.options.items():
if key in self.cfg.settings and value is not None:
self.cfg.set(key.lower(), value)
def load(self):Created: | Last Updated:
How to Use the StreamGraph Template
Welcome to the StreamGraph template guide! This template helps you set up a livestream platform with OpenGraph support. Follow the steps below to get started.
Introduction to the Template
The StreamGraph template provides a complete setup for a livestream platform. It includes: - A responsive header for both mobile and desktop views. - A home page to display current livestreams and a form to create new ones. - Backend routes to handle livestream creation and retrieval. - A database model for storing livestream information. - A simple chat interface for each livestream.
Clicking Start with this Template
To begin, click the Start with this Template button in the Lazy Builder interface.
Test: Pressing the Test Button
After starting with the template, press the Test button. This will deploy the app and launch the Lazy CLI.
Entering Input
The template does not require any user input through the CLI. All interactions are handled through the web interface.
Using the App
Once the app is deployed, you can access the following features:
- Responsive Header: The header adapts to both mobile and desktop views.
- Home Page:
- Displays current livestreams.
- Provides a form to create new livestreams.
- Livestream Page:
- Displays the livestream title and description.
- Includes a placeholder for the video player.
- Provides a chat interface for users to interact.
Integrating the App
To integrate the app with external tools, follow these steps:
- Accessing the API:
- The app provides an API to create and retrieve livestreams.
-
Use the following endpoints:
POST /api/create_livestream: Create a new livestream.GET /api/livestreams: Retrieve all livestreams.
-
Sample Request and Response:
Create Livestream Request: ```json POST /api/create_livestream Content-Type: application/json
{ "title": "My Livestream", "description": "This is a test livestream." } ```
Create Livestream Response:
json
{
"id": 1,
"title": "My Livestream",
"description": "This is a test livestream."
}
Retrieve Livestreams Request:
json
GET /api/livestreams
Retrieve Livestreams Response:
json
[
{
"id": 1,
"title": "My Livestream",
"description": "This is a test livestream."
}
]
- Embedding the Livestream:
- You can embed the livestream video player in your website or application by using the provided URL for each livestream.
Conclusion
By following these steps, you can successfully set up and integrate the StreamGraph template. Enjoy building your livestream platform!
