A system to process image data from CSV files asynchronously using FastAPI, Motor (async MongoDB), and Celery.

1. Clone the repo: git clone https://github.com/program2113/image-processor.git
2. Install dependencies: pip install -r requirements.txt
3. Start services: docker-compose up
4. Access APIs at http://localhost:8000

This project provides two main APIs to upload and process image data from CSV files and check their status.

• Endpoint: POST /upload
• Description: Uploads a CSV file containing product image data and optionally a webhook URL for completion notifications.
• Request:

  • Method: POST

  • Content-Type: multipart/form-data

  • Body:

    • file: The CSV file (required). Format: S. No., Product Name, Input Image Urls (comma-separated URLs).
    • webhook_url: Optional string (URL to receive a POST callback when processing completes).

  • Example: curl -X POST "http://localhost:8000/upload"

    -F "file=@sample.csv"

    -F "webhook_url=http://example.com/webhook"

• Response:
• Status: 200 OK
• Body:

  {
  "request_id": "550e8400-e29b-41d4-a716-446655440000",
  "message": "File uploaded successfully, processing started"
  }

400: "Only CSV files are allowed" (invalid file type)
400: "Invalid CSV format" (missing required columns)

• Endpoint: GET /status/{request_id}
• Description: Retrieves the processing status and results for a given request ID.
• Request:
  • Method: GET
    • Path Parameter: request_id (UUID string returned from Upload API) Example: curl -X GET "http://localhost:8000/status/550e8400-e29b-41d4-a716-446655440000" Response:
• Status: 200 OK
• Body:

  {
  "request_id": "550e8400-e29b-41d4-a716-446655440000",
  "status": "completed",
  "products": [
      {
      "serial_number": 1,
      "product_name": "SKU1",
      "input_image_urls": ["https://www.public-image-url1.jpg"],
      "output_image_urls": ["http://localhost:8000/processed_images/1234.jpg"]
      }
  ],
  "webhook_url": "http://example.com/webhook",
  "created_at": "2025-02-25T12:00:00Z",
  "updated_at": "2025-02-25T12:01:00Z"
  }

404: "Request not found" (invalid request_id)

• Export the API details into the postman_collection.json file (already mentioned in the submission). Include descriptions, example requests, and responses for both endpoints there as well. This makes it interactive for testing.