This service processes images with various transformations such as blur, crop, resize, grayscale, and invert. It uses RabbitMQ for message queuing and Docker Compose for container orchestration.

This is a work in progress and may be missing some validations and error handling.

The ImageProcess endpoint accepts the following parameters:

• files: Multipart file upload.
• blur: A string representing the blur intensity.
• crop_anchor: A string representing the crop dimensions in the format width,height.
• resize: A string representing the resize dimensions in the format width,height.
• grayscale: A string (any non-empty value will apply grayscale).
• invert: A string (any non-empty value will apply invert).
• ... More processes soon

To run the service using Docker Compose, follow these steps:

1. Ensure Docker and Docker Compose are installed on your machine.
2. Clone the repository:

   git clone https://github.com/offerni/imagenaerum.git
   cd imagenaerum

3. Start the RabbitMQ container:

   docker-compose up --build

To start the worker and consumer servers, run the following commands in separate terminals:

1. Start the worker server:

   cd worker
   cp .env.default .env
   go run cmd/main.go

2. Start the consumer server:

   cd consumer
   cp .env.default .env
   go run cmd/main.go

• POST /image_process
  • Description: Processes images with the specified transformations.
  • Parameters:
    • blur: Optional. Blur intensity.
    • crop_anchor: Optional. Crop dimensions in width,height.
    • resize: Optional. Resize dimensions in width,height.
    • grayscale: Optional. Apply grayscale.
    • invert: Optional. Apply invert.
    • files: Required. Multipart file upload.
  • Example:

    curl -X POST http://localhost:8080/image_process \
      -F "files=@/path/to/image.jpg" \
      -F "blur=2.5" \
      -F "crop_anchor=100,100" \
      -F "resize=200,200" \
      -F "grayscale=true" \
      -F "invert=true"

• GET /image/{id}
  • Description: Retrieves the processed image by its ID.
  • Parameters:
    • id: Required. The ID of the processed image.
  • Example:

    curl -X GET http://localhost:8080/image/2d3a1b0e-11a7-4bde-8a1b-c83a29a1c653.jpg