hey, you can modifiy your funtion by looping thru each image and wrapping it in an html img tag. then combine them into a single block for telegraph. check the docs for formatting specifics, but it should work, i think!
The solution I’ve worked on involves iterating through your list of image URLs and constructing valid HTML img tags for each one. In my experience, it is helpful to validate each URL before wrapping it in the tag to ensure that the page rendered on Telegraph doesn’t break unexpectedly. I also wrap the entire process in a try-catch block to capture any unforeseen exceptions. This method not only makes the function more robust but also ensures that every image is independently processed, allowing for more precise troubleshooting.
In my previous project integrating Telegraph with a Python Telegram bot workflow, I encountered a similar challenge. I developed a function that followed an iterative approach to process and validate several image URLs. What I found most useful was building a checks system to ensure each URL pointed to a valid image before embedding them in HTML. In my implementation I also experimented with subtle adjustments to image dimensions which helped maintain consistent rendering on the Telegraph page. This approach not only streamlined debugging, but also provided a robust and flexible solution for handling multiple photos.
hey, i ended up using a join on a list comprhension to wrap each url in tags. i also checked each url extension to avoid invalid images. works fine for quick tests but might need more robust error handling in production.
In my experience, building a robust solution required incorporating a few extra verification steps. I created a helper function that checked if each image URL is valid before wrapping it in an HTML img tag. Instead of a basic loop, I developed a process where each image fragment was individually constructed and then assembled into a complete HTML page. I also implemented logging to trace any faulty URLs. This approach minimized errors in rendering and proved reliable in scenarios where network conditions and URL validity varied.