Interesting, I started playing with code with regards to the Handshake (OnStep uses lx200 standard) and found some interesting behaviour at least on OnStep V4 & V3. I'm not sure if since I never touched the handshake that's always been there, or if it's a new thing.

When I first plug it in, it fails for a while, but if closed (Stopping indi and restarting) and reopened it works fine. This also works with the lx200_teamastro driver. This is USB based. I'll look at it more.

If you can, tell me if you have the same behaviour?

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The pull request has been merged, and it looks like the PPA for nightly is updated. Please let me know if there are any issues! (I see one person with bluetooth issues in another thread, but I suspect that's unrelated (and the changes likely won't affect it.))

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After checking with V3, V4, V5 & OnStepX (aka V10) everything seems to work well, and I've started a pull request for it to main.

(github's diffs seem broken so especially if looking at the TrackState & similar code, I'd highly suggest just looking at the file instead of diffs.)

The KStars/Ekos Align issue is solved and hopefully any others where a Slew is detected as ending immediately, as I finally found one place that EqNP was set that I missed somehow. (Shouldn't have, but finally.)

kstars/logs$ cat 2021-10-05/* | grep -c "Slew det"
90
kstars/logs$ cat 2021-10-06/* | grep -c "Slew det"
2

This is mostly the result of the align module (testing various versions, ~20 for each version tested), the two that happened today were both Meridian Flips triggered by Ekos. This is with 300+ Slews/Gotos in each day's tests. (Full is: "Slew detected, suspend solving...")

I'll let people know when it's accepted, then please try to break it before INDI 1.9.3.

Also OnStepX has the :GX90# fixed in git.

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Just a FYI with regards to :GX90#, getCommandSingleCharResponse will break that call since it returns a function call based on a double return, not an integer. It's a bug with the current. Tried to make a pull request for Howard, but messed up somehow with github's stuff so I just sent it to the list.

I've got it called with the (new) getCommandSingleCharErrorOrLongResponse which has a short timeout (200ms), and if for some reason it isn't working, I've got it falling back based on :GU# which may not be correct if a custom rate has been entered.

And FINALLY, I think I have everything where status gets set. I just had to override/replace/catch so many things, so I may have missed them. Last one I think was manually doing EQUATORIAL_EOD_COORD which was getting set to IPS_BUSY (aka goto) when called in (base) Telescope. Which I think finally kills the issue of KStars/Ekos detecting the end of a slew. (I hope anyway.) I added some things to kstars as debug/try to fix, so double checking with a clean copy that those aren't the only reason it works. (None of it was triggering those changes.)

I got so used to the Blur-Beep, with the default sounds (slew started/sync. That my mind is now expecting it while testing out the alignment. LOL, It happened right as I was considering if to post this, or wait, expecting things to go bad. Fortunately, The cause wasn't OnStep though, Ekos initiated a Meridian flip which caused the dreaded (by me at least) "Slew detected..." message.

I haven't tested all versions again, but so far it seems good, so I'm declaring victory for tonight.

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This will be in the camera options.

Pixel Size (um), Pixel Size X & Pixel Size Y. Note that Max Width and Height should be changed automatically when a picture is taken. (Example from a V4L2 driver, but it should be basically the same.)

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

Take a look at the code in the branch, I think I left the old call commented out. I added a few functions (which touch indi base) which is partly why I delayed until after 0.9.2, but reduce timeouts and build on those in OnStep. I think it's getCommandStringorSingleCharResponse (Which is similar to two others but a bit different)

With all of that, it reduces it from 5 sec to 0.2 sec. (Though I'm not sure where the 5 sec timeout is, as I recall before I started playing OnStep was 2 & lx200 was 3 sec?) So reduces the update rate with 50 (ms) polling (usually takes ~100ms + the polling rate) to about 2-3 a sec.

One of the VERY NICE things about OnStepX is with something like EpoxyDuino, it can actually be run as a process on a Pi. (Right now I don't have it working quite yet with INDI, (which was due to EpoxyDuino's serial handling) but the timing needed for OnStep is within the capabilities of a Pi or Hopefully a PiZero.) Right now it will compile with some modification of EpoxyDuino, but all I can get is some debug, I can't seem to communicate with it.

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I can reproduce that, on the own-goto branch. I also have a faster-timeout-fixed, that have both been merged into my master, including swapping the :GX90# over to the new lower timeout commands:
github.com/james-lan/indi

I'll make a pull request indi main either later today, or next week.

One nice thing is that with this, the startup time seems limited mainly by Kstars/Ekos. As checking most (3,4, X) of them when kstars is up it's 3-7 sec after hitting start in Ekos to everything being good. When it's the first startup that's more like 10-20.

I'm on a current pull as of just a bit ago (10.03k), I don't see the :%BD# causing an issue. What version of OnStepX are you on? (Mind you this is all testing with a Mega not hooked up atm.)

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Apologies for the long updates. Real life things I don't want to go into here.

There was a pull request which may help some cases regarding reporting status on V4

Right now testing my own-goto it's working well with git versions of Kstars.

I did discover an odd bug related to meridian flips on altaz: It would keep trying to do them, but in my branch I've removed the capability being reported by default and while it can trigger it only seems to once. Working on a patch to add detection to Kstars. Now the branch only reports if it's non altaz. Which seems to make it only do it once.

Right now I'm 2/6 through testing (working on 3/6) v3/4/5 EQ/Altaz before I make a pull request. Unfortunately power is out so the branch is not up to date right now. (Will probably see about X, but I don't think I have a near current pull) so far it and Kstars are working well, but Kstars still sometimes considers slew complete immediately. Fortunately it handles it ok now.  (Mind I've got updates at something like 25ms to try to reproduce that.) Earlier Kstars did not handle that well.

I would like to get this merged before 1.9.2, if possible given the fixes. Not sure when @knro plans to release that (I would imagine very soon.) So if people can test it asap when I post next, I would massively appreciate it. If not, that's fine. 

 

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Yes, that's related to the dew heater, and the new detection of features.
The gxy1 call should return the feature name and type.


It appears to be looping, but I'm not in front of the computer to look at the code. (Quickly looking at azwing's repo, I don't see anything that I would think could cause it, except repeated calls to update properties?) For a temporary solution, you might try removing that feature?

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The only reason it shouldn't update that are common. Either it should get a location in UpdateScopePosition, or it should fail in both cases, as that code is at the very front, do you have any: Error reading RA/DEC. messages?

I'd very much like to get a debug log if you don't mind, because I can't seem to reproduce what you have.

I do discover some odd behaviour with parking on a (fake) alt-az mount, namely that it seems sometimes to goto after an unpark?! (To where it was before the park.) Never have seen that on an EQ. I'm looking at it, but a log would be great to try to figure it out. I do seem to recall that as being something a while back though that I'd very occasionally encounter on startup?

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Given your changes, I'd like you to look at the own-goto branch as it now has the changes so there should be NO status set from base classes. So it should be only update by our update, and should be consistently reported, and avoid the TrackState IDLE after a park.

I apologize for being quiet, and stepping on your toes about it, but I think it's actually a better solution. Unfortunately a lot of that delay was me upgrading and various changes. (Mostly related to me compiling things outside the package manager, and forgetting, plus resolving what turned out to be insofar as I can tell, a bit error on my SSD. (I don't think I've knowingly encountered that ever on a HDD, but might have if it's in data that's not processed by computer.)

The one change that I don't have in that branch is the Focuser hiding, but that seems to be pretty simple to add back in.

Unfortunately, KStars/Ekos does not pull directly from TrackState, so that didn't resolve the mount model issue. However, digging into it, it relies on EqNP's status as part of the Update using the TrackState. I've added updating that to the section after TrackState, so that should always be good as well. So finally solved? (Maybe.)

So far in my testing, That has eliminated all IDLE states when it's not actually idle except the very initial connect, and so far all instances of the Mount Model taking an instant photo. (Using an OnStep board, and CCD simulator, so that's limited testing and of course things are supposed to be not conducive to testing in the real world for a bit. ) So I think all of that is fixed, but not 100%. I do know in one case with TrackStateSP, there's something lower down that wants to modify it if slewing, so I had that only update if SCOPE_TRACKING to be on.

Anyway, Sorry for going quiet, now trying to catch up on some more things. (So I may be quiet again for a few days.)

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