App-CaptureAgenda

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Create calendar entries from images

Event after import marked as "imported"

Recently I was at a conference that only published their agenda as a .pdf file. While I had ample time to manually transcribe the agenda into my calendar, I wanted a more automated approach, maybe using one of these newfangled LLM things that are said to be able to extract text from images based on a simple prompt. Extracting event information from the agenda would likely also expand well to pictures snapped of concert posters with my phone camera, just to get a placeholder in my calendar.

If you subscribe to one of the large phone ecosystems, a lot of this functionality already exists. Google Lens can extract the event dates from pictures for example. But I don't share my calendar with neither Google nor Apple, so I want a more custom and more streamlined application.

Since toying around with Net::CalDAV::FindEntry, I feel familiar enough with CalDAV and Net::CalDAVTalk to see the import as no problem. The resulting application should be a two-page basic web application that is reachable via my private network. Extracting the information is easy by using GLM-4.6V. This means of course sharing that information with some outside party, but it is only potential events and not my whole calendar that I'm sharing.

The code also lives on Github, at least until I move back from Github to self-hosted git repositories.

Application structure

As usual, I wrote the app in Perl, using Mojolicious and I also sprinkled some HTMX 4 on it, for some interactivity. For example, the image upload form does not need a second click to actually upload the selected image. Also, while processing the image with the LLM, the page automatically refreshes until the results are in.

The steps (and pages) of the app

Upload

Upload form

Uploading consists of an image and also an optional prompt, to maybe reduce the number of events created. I found that some nudging for events in the past or in the future was needed. Uploading the image happens together with pressing the camera icon. This is not great if you selected the wrong image, but that happens rarely to me and adding another image isn't that bad.

Processing

I was too lazy to capture the reloading while the extraction is processing.

Results

Resulting parsed event structure

The results page allows to select events for import and also shows the preview with title and description. The text recognition isn't always great, but it is Good Enough for my needs.

At least for debugging, I also wanted a quick way to inspect the generated .ics calendar data, so I added the "raw" view. This displays the raw data in all its g(l)ory.

Raw Ical data

Imported event

Event after import marked as "imported"

After importing, the app also checks my calendar whether the event has already been imported. This is highly convenient for me to see whether everything actually worked.

Developing with GLM-5.3

I used GLM-5.3 for parts of the development. I had the model write most of the test suite and also had it review the HTML and the use of HTMX. It found some things that would have been annoying for me to find, like double id attributes on HTML elements, old HTMX attributes that HTMX 4 does not support anymore.

The fixes the model proposed were also of acceptable quality, but I did not let it create new features alone. Everything was tightly guided, which results in code quality that I am content with.

Image of the Week

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This is one of my favourite pictures. It is an unedited snapshot of an unoccupied restaurant.

Notes from the Frankfurt Perl Workshop 2026

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We did the almost-annual unconference, this time at the Saalbau Bornheim. The attendance was expectedly low at 5 persons, one person joining us from Amsterdam and one person joining us from Darmstadt, the rest being Frankfurt.pm regulars.

None of us had prepared anything in a presentation format, with slides, but we had a lot to talk about regarding the use of LLMs and what that means for the economy and also for us personally. I spoke a lot about how I don't see that the AI frontier labs can ever recoup the money they've pledged on datacenters. We also mused about why Chinese labs are giving away their models and also why Mark Zuckerberg is doing the same with Llama-2 and Llama-3. We concluded that this is their strategic approach to prevent a hegemony by the other two frontier labs.

Tech-wise, we looked at some approaches to LLMs. I showed my (yet) unpublished skeleton files for Perl modules and Mojolicious applications. I've found that giving LLMs like GLM-5.3 files to work from tends to prod the model to produce code close to that style. Since I prefer that style to other styles, I've found this approach very successful.

In addition, we also looked at how superpowers works and that a good side benefit of using it is that you get some test files written by the LLM already. We all found that creating test files is a good use of LLMs. Since the code in test files is disposable and if the test file is written in a too complex way, you can just delete it or rewrite it without consequences on the main code.

My main comparison was between the two approaches I'd used for writing two applications. One application was an extractor that creates CalDAV entries from a picture of an event poster. I had created that script using GLM-5.3 as a one-shot without superpowers. The resulting code worked, and used GLM-4.6V to parse the image and create the .ics output. The resulting code also was very icky to work with, spending far more lines on various configurability I would never use and precautions against missing tools that would never be missing.

The other application was a web frontend to the pi agent, to make it more convenient for me to use LLMs. Using the browser allows me to create fancy widgets to display the status of the test suite and also submit screenshots to the LLM for reference. I created this frontend using a relatively detailed list of features and also described which functionality should be implemented in what file, providing structure to the LLM. This approach resulted in much better and much more maintainable code than the one-shot leaving the LLM to implement things all on its own.

For lunch, we went to a new Chinese-style place with handmade noodles. I had a reasonably priced beef soup with handmade noodles. It was very spicy but otherwise good.

After lunch, we discussed the use of Perl to tie together some tools for language and speech analysis. We looked at how different Chinese is from other languages, and how different Cantonese and Mandarin are.

Image of the Week

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I was revisiting some old pictures and found this series of pictures shot in the MyZeil shopping mall.

Updating my photo import pipeline

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Why?

Recently I took up photography again. Or rather, I made more of a conscious effort to take pictures again, as opposed to snapping them. I have my existing image import pipeline, which copies the files from the devices to my central server into timestamped directories.

Recently I actually exhausted the storage of my mobile phone and that made me realize that I want to run my photo import via rsync from abroad on my phone instead of local-only copying via mounted drives.

Reading files

Before the change, the program took all files in the DCIM directory and copied them via an SMB mount to the central server:

  • Find all files in DCIM/Camera directories
  • Read the image creation times from image EXIF data
  • Upload all files into directories grouped by their timestamps
  • Move all files into the DCIM/Camera/archive as a safety measure. I manually delete the archive/ directory from time to time

But running the import on a gphoto2 mounted directory does not allow to move transferred files to the DCIM/archive directory. This would be ameliorated by using rsync. but a more discerning approach is still needed since I might have renamed the target directories on the central server in the meantime.

The new approach addresses these points

  • Find all files in DCIM/Camera directories
  • Find (rough) creation date from image filename (fast), or from image EXIF data (slow, needed for sequentially numbered image file names)
  • Read the remote directories starting from the earliest image timestamp
  • Associate each image with a target directory
    • if it already exists on the remote side, use that directory
    • use the image timestamp for the image otherwise
  • Upload all files into their target directories using rsync

Using rsync and always transferring / synchronizing all images makes the transfer resilient against network failures and partial transfers. Looking at the already existing filenames on the target end also opens the door to reading calendar entries and creating the directories with their calendar entry outright, as I've decoupled the directory name from the image creation timestamp.

Having an ssh remote target

Moving to rsync also enables backing up to a remote machine over ssh. To move the files into the appropriate locations, I also need to read remote directories. I did not find an established module on CPAN for this. Filesys::Virtual::SSH is OKish, but I don't like the API of Filesys::Virtual overall. I only needed a single routine to read a remote directory, so I wrote a very simple wrapper:

sub r_readdir($dir, $type="d") {
    if( $dir =~ m!^ssh:(?<host>(\w+\@)?[^:]+):(?<path>.*)! ) {
        my $p = $-{path}->[0];

        my $cmd = "ssh '$-{host}->[0]' 'find \"$p\" -type $type'";

        currently("Reading '$p'");
        if($verbose) {
            $printer->output_permanent($cmd);
        }

        return map { s!^\Q$p\E[/\\]?!!r }
            split /\r?\n/,readpipe( $cmd );
    } else {
        opendir my $dh, $dir
            or die "Can't read '$dir': $!";
        return readdir($dh);
    }
}

This allows me to keep all filtering local in perl, which is not efficient over the network but highly efficient in protecting me from needing to shell-escape all the commands.

Naming the image import directories

I often end up with directories named 20260417-1603 , which is better than nothing. But I still would like to know what happened then. Often I have an entry in my calendar which might be so-and-sos birthday party, or some conference or whatnot, and having the computer automatically naming the directory according to the calendar is a nice touch. I've put off this for a long time, but now I've actually released Net::CalDAV::FindEntry to make this convenient:

my @relevant_events = $cal->get_events(
    after    => $image_timestamp,
    before   => $image_timestamp,
    calendar => 'Corion'
);

# We blindly take the event that started closest before the photo was taken
my ($ev) = sort { $a->{start} cmp $b->{start} } @relevant_events;
if( $ev ) {
  $target_directory{ $image } //= "$image_timestamp - $ev->{title}";
}

With that line added, I get conveniently pre-named directory names on the central server. It's still not perfect, as the directory naming needs to respect timezones while the image timestamps are either in a floating timezone or GMT, but this gets me a long step forward in convenience. Also, I need to clean up the titles of the calendar entries to make them suitable as directory names. Originally I thought Text::CleanFragment would be good for this, but it replaces spaces with underscores, which I do not want in the directory names, so I wrote a small ad-hoc sanitizer for that. So there still is work to do in the future.