Export function should include the image - must send from client as base64 as well

[dreaminglucid]

Dynamic Image Encoding and Decoding

Since you're already able to fetch the dream data from the server to the client, one approach would be to dynamically encode the image to a Base64 string on the client-side just before making the API call. Then, send this Base64 string as a field in the dream object. On the server-side, you can decode this Base64 string back into an image and embed it in the PDF.

Here's a high-level overview of what this could look like:

Client-Side (JavaScript)

• Convert the local image to a Base64 string.
• Add this Base64 string to the dream object.
• Send the dream object to the server via an API call.

Here's a small snippet to convert an image to Base64 in JavaScript:

async function toBase64(url) {
    const response = await fetch(url);
    const blob = await response.blob();
    return new Promise((resolve, reject) => {
        const reader = new FileReader();
        reader.onloadend = () => resolve(reader.result);
        reader.onerror = reject;
        reader.readAsDataURL(blob);
    });
}

// Usage: Add this before sending the dream object to the server
const imageBase64 = await toBase64('path/to/local/image.jpg');
dream['imageBase64'] = imageBase64;

Server-Side (Python)

• Retrieve the dream object from the API call.
• Decode the Base64 string to an image.
• Embed this image in the PDF.

Here's how you would modify your export_dreams_to_pdf Python function:

from reportlab.lib.pagesizes import letter
from reportlab.platypus import Image as ReportLabImage
from base64 import b64decode
from io import BytesIO

# ... (existing code)

# Inside export_dreams_to_pdf function
image_base64 = dream.get('imageBase64', None)
if image_base64:
    # Decode the base64 string
    image_data = b64decode(image_base64.split(',')[1])
    
    # Create a BytesIO object
    image_io = BytesIO(image_data)

    # Create a ReportLab Image object and add it to the Story
    Story.append(ReportLabImage(image_io, 200, 200))

This should solve the problem without any changes to the frontend logic, other than the Base64 encoding which will be invisible to the end-user.