OpenStreetMap логотибы OpenStreetMap

Searching Diaries

English телендә mvexel14 September 2022 баҫылып сыҡты.

I was going to search to see if someone had already written about this, but..

It would be really useful to be able to search the diaries.

There is so much valuable, fun, informative, personal writing on here, but it is really hard to discover.

Fortunately, Weekly OSM does a good job of capturing some of the interesting entries posted here, but they can’t possibly cover everything.

I’m not sure what would be involved in adding this functionality, I am sure if it were easy, someone would have already done it. Someone did open an issue for it on Github but it has received no comments so far.

Is there anyone here who speaks Ruby, cares about this, and wants to implement it?

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TrickyFoxyтарафынан15 September 2022 cәғәт 08:15көндө ҡаралған

Most likely, the task is not a priority, because any search(Google, DDG) can easily cope with it. Just try a query of the form: site:openstreetmap.org/user diary every door

TomHтарафынан15 September 2022 cәғәт 11:22көндө ҡаралған

Well ruby is not really the issue - it’s not like somebody is going to write something that reads every diary entry from the database and searches the content using ruby.

Well I mean somebody could write that but it would never get merged.

So the issue is the need for efficient free text indexing/searching of diary entries, which is very much a non-trivial task.

Meanwhile your favourite internet search engines are quite happy to search “site:openstreetmap.org diary index” for you so there are easy workarounds.

mvexelтарафынан15 September 2022 cәғәт 14:57көндө ҡаралған

The search engine option is interesting! I am guessing not many people know about this.

Perhaps there is a way to create a search box that parses whatever the user enters and redirects (new tab) to search engine results. So a user would enter, for example openstreetcam and this would open a tab with https://duckduckgo.com/?q=site%3Aopenstreetmap.org%2Fuser+diary+%22openstreetcam%22.

As an added bonus, it would expose more users to a privacy-centered search engine.

Would something like that potentially be merged, TomH?

TomHтарафынан15 September 2022 cәғәт 15:28көндө ҡаралған

I’m reluctant to tie things to specific third part services like that, both from a reliability point of view and because it means we’re blessing one service over others.

mvexelтарафынан15 September 2022 cәғәт 15:43көндө ҡаралған

I understand and respect that principle. However, DuckDuckGo is a very well established service, and aligns with our user privacy principles. And even if DDG were to go away, a search box would not be a deep integration, and this would be pretty easy thing to revert.

Msiipolaтарафынан16 September 2022 cәғәт 06:26көндө ҡаралған

I assume the search parameters are the same, even if an other search engine is used (in case DDG goes away)?

But as others already said there are standard methods searching the diaries. I don’t see much advantage by creating a UI layer on top of this.

Better just to inform others how to do it. Maybe on the osm wiki.

TheSwavuтарафынан16 September 2022 cәғәт 09:49көндө ҡаралған

If you want to filter out the stuff that’s not a diary then you can use: site:www.openstreetmap.org/user/ inurl:diary -inurl:comments "every door"

mvexelтарафынан16 September 2022 cәғәт 15:55көндө ҡаралған

@Msiipola OSM wiki is a good place to document this lacking UX. I took the existing User Diaries page (which was a redirect) and wrote some content there about diaries in general, and how to search for them using DDG. Please help improve!

OpenBrianтарафынан17 September 2022 cәғәт 20:52көндө ҡаралған

One my the design ideas for microcosms (aka communities) will be to view diary entries of a geographic region using diary_entry.location. Another idea is to show the diary entries of members of a community. For example my normal mapping buddy Andrew Wiseman mapped his vacation trip to Bermuda. Granted that can also be seen through friendships.

But I like the idea of search by content. We could use PG’s full text search to index the content.

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