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Grender is a web rendering service written in Go that leverages a headless Chrome browser to render and cache web pages. The application supports various backends, including AWS S3 and local file systems, for storing cached content.

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Grender - Web Page Renderer

This project is in a very early stage of development.

Grender is a web rendering service written in Go that leverages a headless Chrome browser to render and cache web pages. The application supports various backends, including AWS S3 and local file systems, for storing cached content.

Configuration

The server is configured using a config.yaml file. Here's an example:

version: v1
# There are three modes: "rendering" and "recaching"
modes: 
  rendering: true
  recaching: true
renderingConfig:
  pageWaitTime: 10
  pageWaitCondition: '(function() { return window.prerenderReady === true })()'
  # requestHeaders:
  #   - name: "X-Grender-Request"
  #     value: "1"
server:
  port: "8080"
  responseHeaders:
    - name: "X-Prerender"
      value: "1"
backend:
  fileSystem:
    baseDir: "./tmp"
  # s3:
  #   bucketName: "grender.io"
  #   region: "ap-southeast-2"
invalidate:
  amqp:
    uri: "amqp://user:password@localhost:5672/"
    timeout: 10
    queue: "invalidate" 

Running the Server

To run the server, use the following command:

go run main.go

Make sure to have your config.yaml file in the same directory where you run this command.

Project Structure

The main components of the project are organized into packages:

  • pilot: Contains the main Grender application files, including configuration, rendering logic, and server setup.
  • backend: Provides interfaces and implementations for different backends, such as S3 and file systems.
  • render: Implements the rendering logic using a headless Chrome browser.

Dependencies

Grender relies on third-party packages for AWS S3 integration, YAML parsing, and headless Chrome browser automation.

About

Grender is a web rendering service written in Go that leverages a headless Chrome browser to render and cache web pages. The application supports various backends, including AWS S3 and local file systems, for storing cached content.

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