

It is actually awesome if you have some old photos with the geodata attached and scim through Reitti and suddenly one of them shows up :)
It is actually awesome if you have some old photos with the geodata attached and scim through Reitti and suddenly one of them shows up :)
Hmm, I had hoped you say something like a Raspberry PI :D
But this should be enough to have it processed in a reasonable time. What I do not understand in the moment is, that the filesize should not affect it in any way. When importing it 100 Geopoints are bundled, send to RabbitMQ. From there we retrieve them, do some filtering and save them in the database. Then actually nothing happens anymore until the next processing run is triggered.
But this than works with the PostGis DB and not with the file anymore. So the culprit should be there somewhere. I will try to insert some fake data into mine and see how long it takes if i double my location points.
Thanks for the information. I will try to recreate it locally. In my testing I used a 600MB file and this took maybe 2 hours to process on my server. It is one of these ryzen 7 5825U. Since Reitti tries to do these analysis on multiple cores we start it with 4 to 16 Threads when processing. But the stay detection breaks when doing it that way, so it is locking per user to handle that. If now one of them takes a long time the others will break eventually. They will get resheduled 3 times until rabbitmq gives up.
On what type of system do you run it?
I will add some switches so it is configurable how many threads are opened and add some log statements to print out the duration it took for a single step.
It was not intentional but after bothering not about it because i had other things on my mind i got used to it and now like it the way it is.
But for everyone who is bothered by that. If Reitti reaches 1k stars on Github I will add a switch to use a centered one 😊
Congratulations 😆
To help with that I would need some information:
Thank you for testing 🙂
Oh, i had the idea in mind what i want to create and than it was a matter of a couple of Google queries but in the end one of the LLM suggested a list of different names in foreign languages and reitti somehow sticked 😊
I had a similar setup with Home Assistant in the past so I understand your usecase. For Reitti to detect visits somewhat reliable it needs at least one datapoint of location data a minute. We build location clusters with minimum 5 points in 5 minutes. If HA tracks that often it should work. HA probably tracks more than that.
I could add an integration that Reitti fetches the data from Home Assistant. Do you mind in creating a feature request?
I have no experience with traccar but it seems that it supports live tracking. This is something Reitti does not support. Depends on your usecase, but i think traccar is better suited.
I looked at the docker image i am using in the docker-compose file and this only supports having a single country code. The actual reason can be found here: https://github.com/rtuszik/photon-docker/blob/3b63df49fbc0a77cafcbd6e6be2b8857c12b9143/start-photon.sh#L341C5-L342C7
It is probably possible if you deploy photon on its own and then import the data somehow. But that is to much hassle for me, i think and hope that most of the use case is handled by the current solution. At least for most of the potential users. But I get the point if someone is traveling a lot between countries.
If there is enough demand I could maybe try to create a PR for the Docker image to handle multiple country codes.
I think this is not exposed when running the Docker container. But let me check later when i have time what happens if i put another country in that variable
I would not say compete. They are different in how things are done from my point of view. I want to focus more on the visits we have done in the past to relive some lost memories whereas Dwarich looks more “technical” for me. I have no better words for it, I hope you get my point in what i am trying to achieve with Reitti. So there should be enough room for both 🙂
I also do not have any intentions to offer a hosted version in the foreseeable future or even anytime.
I used that once on a past gig and it wasn’t very pleasant to use. Especially in combination with spring boot. But that is a couple of years ago. Maybe things have changed. I personally would prefer the executable jar from spring boot. With that you do not have to make that many steps to make it work. But thanks for the suggestion :)
Good question, afaik you can not enter multiple countries to Photon. I was hoping it would be possible but everything i saw was it is either on country or the whole world. But maybe you can have a look here: https://github.com/komoot/photon That is the service we are using.
I was thinking about that, but the main problem is that we do not store all the data which comes in.
If we ingest data from an app, I am pretty sure that the quality of the data is actually usable. But for example if we import an Records.json from Google Takeout. The quality of the earlier years is somewhat sketchy. For this we filter out some points like travelling with over 2000 km/h, sudden direction changes etc and they are lost forever. At least for Reitti they are unknown.
The feature would need a lot of explanation why the data we export is not the same we import.That is the reason I did not implemented it even if it would come in handy for testing stuff. Handling GPX files is a pita …
Maybe the wording is confusing in the Readme. Reitti will try to fetch the data from a configured photon instance first, if this does not return anything and you have Geocoding services configured, it will try them. There is actually no switch for hybrid mode or only local. It depends on what is configured.
Photon Only: you have only photon configured and under Settings > Gecoding
you deleted or disable every available service.
Hybrid Mode: Photon is configured and under Settings > Geocoding
there are Services available. That es is the one I use. Having Photon with the data for Germany and all the rest is handled by Geoapify.com.
External Only: You dropped Photon from the docker-compose file and only rely on services under Settings > Geocoding
If you do not configure anything, then Reitti will skip Geocoding and only display Unknown Place.
I will update the Readme to make that clear.
Thanks :)
No, did not occur to me. What would the integration look like? Connecting it to the message bus to receive location updates? Honestly it is a couple years ago I played with HA.
Not really, I stopped using IOS a year ago because of exactly this reason. Had a lot of problems syncing files because of the power saving. I understand why IOS is doing it and for a normal user I think it is the way to go. But anything beyond that, it only hinders the experience you get out of apps. Maybe someone here as any experience with an app which works reliably.
Thanks :) As a German I really like the name Dawarich. First it sound really nice for me but also that “Da war ich” means “There have i been” in german makes, at least for me, an awesome project name.
Take this with a grain of salt because I have no idea what the plans are for Dawarich or have ever been and this is solely based on my external view. For me the main differences are:
In the end, they are not that far off. Maybe a matter of taste.
Thank you.
At the moment i do not have any plans of providing a way of running it without docker. Mainly because of time to support that.
Since it is a Spring-Boot-Application it would be possible to create a jar file which you can execute or deploy as a service with systemd. But then you have to make sure all prerequisites are also running. That is the one thing I like about docker and especially docker compose.
But short answer: Yes, it is possible but you are on your own at the moment. I would help and maybe we can add a section to the readme how to do it.
Thanks for getting back to me. I can look into it. I don’t think it’s connected, but you never know.
The data goes the same way, first to RabbitMQ and then the database. So it shouldn’t matter, it’s just another message or a bunch of them in the queue.