I have found a relationship between this issue and LOGGING, hence my working theory is there is a contention in the I/O processes for image writing to the disk vs logging:
same setup as above, but this time I have logging on verbose to try and capture more information
Auto run starts but cannot even finish focus routine before kstars crashes - in the morning I attempt to take test images with same setup - downloads are not working or extremely slow: test with OTHER SW connected to indi -> same result - Next I turn OFF logging (disable setting)
Image now download as expected - no problem with speed or delay
So I suspect that the start of the problems above is nothing more than the increased activity during focus and schedule = more logging = delay = more logging = feedback loop = crash
Is there perhaps a common writer object that is being used for both image to disk and log to disk?
or are they perhaps on the same thread? and blocking?
FYI I have and SSD with gigs of free space and raspbian confirms the health and speed are good
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I have a very repeatable pattern that leaves Kstars partially dead, INDI still running and abnormal operation:
Initial condition - 3 filter sequence in operation - HA filter complete all 20 shots (this is PRE Flip) - EKOS starts filter change - fails focus 3 times and then KSTARS crashes partially - guiding is still going on but all other functions are dead until morning twilight - mount does not park (OnStep controlled properly suspends due to west meridian error to prevent damage)
The visual pattern of this error is extremely exact (see images) and it looks like there is a failure to perhaps find the filter, BUT looking in the logs I can see that the focus process is happening but SOMEHOW the QHY Camera has suddenly flipped from mode 0 to mode 1 (or at least INDI/Kstars think it has) and thus rejects the image
This leaves the process continuing and repeating but with nothing to work with - this appears like an infinite loop in process - not sure exactly where KSTARS dies, but when the system is viewed in the morning it is not running but INDI is and still attached - the following is the start of the problem right after filter change to OIII - inspecting the analysis view I can see that guide images are still coming in but obviously once the mount hits median stop in the mount all that goes to pot....
In my estimation since I have repeated twice, the root cause is the QHY mode flip which is either false positive or legitimate defect in QHY driver, but the error handling is ODD in this case (a use case that was never expected?)
[2022-06-25T00:33:29.355 EDT INFO ][ org.kde.kstars.ekos.guide] - "Guiding resumed."
[2022-06-25T00:33:33.450 EDT INFO ][ org.kde.kstars.ekos.capture] - "Capturing 300.000-second HA image..."
[2022-06-25T00:38:19.293 EDT INFO ][ org.kde.kstars.indi] - QHY CCD QHY294PROC-4e75 : "[INFO] Exposure done, downloading image... "
[2022-06-25T00:38:22.276 EDT INFO ][ org.kde.kstars.indi] - QHY CCD QHY294PROC-4e75 : "[INFO] Image saved to /home/astroberry/TARGETS/OSC/QHY294_ED80_NGC6888_IMAGE_040.fits "
[2022-06-25T00:38:33.530 EDT INFO ][ org.kde.kstars.indi] - QHY CCD QHY294PROM-12a6 : "[INFO] Exposure done, downloading image... "
[2022-06-25T00:38:37.312 EDT INFO ][ org.kde.kstars.indi] - "FITS" file saved to "/home/astroberry/TARGETS/NGC_6888/Light/HA/NGC_6888_Light_HA_300_secs_2022-06-25T00-38-37_020.fits"
[2022-06-25T00:38:38.596 EDT INFO ][ org.kde.kstars.ekos.capture] - "Received image 20 out of 20."
[2022-06-25T00:38:41.628 EDT INFO ][ org.kde.kstars.ekos.capture] - "Captured /home/astroberry/TARGETS/NGC_6888/Light/HA/NGC_6888_Light_HA_300_secs_2022-06-25T00-38-37_020.fits"
[2022-06-25T00:38:41.658 EDT INFO ][ org.kde.kstars.ekos.capture] - "Job requires 300.000-second OIII images, has 0/20 frames captured and will be processed."
[2022-06-25T00:38:42.488 EDT INFO ][ org.kde.kstars.ekos.capture] - "Executing pre capture script /home/astroberry/scripts/takepicture.sh"
[2022-06-25T00:38:43.324 EDT INFO ][ org.kde.kstars.ekos.scheduler] - "Job 'NGC 6888' 20x300\" HA sees 20 captures in output folder '/home/astroberry/TARGETS/NGC_6888/Light/HA'."
[2022-06-25T00:38:43.324 EDT INFO ][ org.kde.kstars.ekos.scheduler] - "Job 'NGC 6888' 20x300\" HA completed its sequence of 20 light frames."
[2022-06-25T00:38:43.325 EDT INFO ][ org.kde.kstars.ekos.scheduler] - "Job 'NGC 6888' 20x300\" OIII sees 0 captures in output folder '/home/astroberry/TARGETS/NGC_6888/Light/OIII'."
[2022-06-25T00:38:43.325 EDT INFO ][ org.kde.kstars.ekos.scheduler] - "Job 'NGC 6888' 20x300\" OIII requires a dither procedure."
[2022-06-25T00:38:43.325 EDT INFO ][ org.kde.kstars.ekos.scheduler] - "Job 'NGC 6888' 20x300\" SII sees 0 captures in output folder '/home/astroberry/TARGETS/NGC_6888/Light/SII'."
[2022-06-25T00:38:43.325 EDT INFO ][ org.kde.kstars.ekos.scheduler] - "Job 'NGC 6888' 20x300\" SII requires a dither procedure."
[2022-06-25T00:38:43.330 EDT INFO ][ org.kde.kstars.ekos.scheduler] - "Job 'NGC 6888' estimated to take 03h 33m 50s to complete."
[2022-06-25T00:38:43.527 EDT INFO ][ org.kde.kstars.ekos.capture] - "2nd Camera is about to take a picture\n2nd Camera execution command sent\n"
[2022-06-25T00:38:43.531 EDT INFO ][ org.kde.kstars.ekos.capture] - "Pre capture script finished with code 0."
[2022-06-25T00:38:43.534 EDT INFO ][ org.kde.kstars.ekos.capture] - Dithering...
[2022-06-25T00:38:43.534 EDT INFO ][ org.kde.kstars.ekos.capture] - "Dithering..."
[2022-06-25T00:38:43.562 EDT INFO ][ org.kde.kstars.ekos.guide] - "Dithering in progress."
[2022-06-25T00:38:50.819 EDT INFO ][ org.kde.kstars.ekos.guide] - "Post-dither settling for 2 seconds..."
[2022-06-25T00:38:52.856 EDT INFO ][ org.kde.kstars.ekos.capture] - Dithering succeeded, capture state "Dithering"
[2022-06-25T00:38:52.857 EDT INFO ][ org.kde.kstars.ekos.capture] - "Dithering succeeded."
[2022-06-25T00:38:52.860 EDT INFO ][ org.kde.kstars.ekos.capture] - "Dither complete. Resuming in 3 seconds..."
[2022-06-25T00:38:52.864 EDT INFO ][ org.kde.kstars.ekos.guide] - "Dithering completed successfully."
[2022-06-25T00:38:52.978 EDT INFO ][ org.kde.kstars.ekos.guide] - "Guiding resumed."
[2022-06-25T00:38:58.093 EDT INFO ][ org.kde.kstars.ekos.capture] - "Changing filter to OIII..."
[2022-06-25T00:38:58.111 EDT INFO ][ org.kde.kstars.indi] - ASI EFW : "[INFO] Setting current filter to slot 6 "
[2022-06-25T00:38:59.829 EDT INFO ][ org.kde.kstars.ekos.capture] - "Auto focus on filter change..."
[2022-06-25T00:38:59.833 EDT INFO ][ org.kde.kstars.ekos.focus] - "Capturing to check HFR..."
[2022-06-25T00:38:59.837 EDT INFO ][ org.kde.kstars.ekos.focus] - "Capturing image..."
[2022-06-25T00:38:59.854 EDT INFO ][ org.kde.kstars.indi] - QHY CCD QHY294PROM-12a6 : "[INFO] Gain updated to 1710 "
[2022-06-25T00:39:07.309 EDT INFO ][ org.kde.kstars.indi] - QHY CCD QHY294PROM-12a6 : "[INFO] Exposure done, downloading image... "
[2022-06-25T00:39:11.091 EDT WARN ][ org.kde.kstars.ekos.capture] - "{Device: QHY CCD QHY294PROM-12a6 Property: CCD1 Element: CCD1 Chip: 0}" Ignoring Received FITS as it has the wrong capture mode 1
[2022-06-25T00:39:11.091 EDT INFO ][ org.kde.kstars.ekos.focus] - "Image received."
[2022-06-25T00:39:11.094 EDT INFO ][ org.kde.kstars.ekos.focus] - "Detecting sources..."
[2022-06-25T00:39:11.627 EDT INFO ][ org.kde.kstars.ekos.focus] - "Detection complete."
[2022-06-25T00:39:11.657 EDT INFO ][ org.kde.kstars.ekos.focus] - "Autofocus in progress..."
[2022-06-25T00:39:11.660 EDT INFO ][ org.kde.kstars.ekos.focus] - "Focusing outward by 7000 steps..."
[2022-06-25T00:39:11.696 EDT INFO ][ org.kde.kstars.indi] - LX200 OnStep : "[INFO] Focuser is moving to position 35266 "
[2022-06-25T00:39:19.520 EDT INFO ][ org.kde.kstars.ekos.focus] - "Focusing inward by 5000 steps..."
[2022-06-25T00:39:19.526 EDT INFO ][ org.kde.kstars.indi] - LX200 OnStep : "[INFO] Focuser is moving to position 30266 "
[2022-06-25T00:39:26.447 EDT INFO ][ org.kde.kstars.ekos.focus] - "Capturing image..."
[2022-06-25T00:39:33.518 EDT INFO ][ org.kde.kstars.indi] - QHY CCD QHY294PROM-12a6 : "[INFO] Exposure done, downloading image... "
[2022-06-25T00:39:37.462 EDT WARN ][ org.kde.kstars.ekos.capture] - "{Device: QHY CCD QHY294PROM-12a6 Property: CCD1 Element: CCD1 Chip: 0}" Ignoring Received FITS as it has the wrong capture mode 1
[2022-06-25T00:39:37.463 EDT INFO ][ org.kde.kstars.ekos.focus] - "Image received."
[2022-06-25T00:39:37.466 EDT INFO ][ org.kde.kstars.ekos.focus] - "Detecting sources..."
[2022-06-25T00:39:38.443 EDT INFO ][ org.kde.kstars.ekos.focus] - "Detection complete."
[2022-06-25T00:39:38.516 EDT INFO ][ org.kde.kstars.ekos.focus] - "Focusing inward by 1000 steps..."
[2022-06-25T00:39:38.829 EDT INFO ][ org.kde.kstars.indi] - LX200 OnStep : "[INFO] Focuser is moving to position 29266 "
[2022-06-25T00:39:41.690 EDT INFO ][ org.kde.kstars.ekos.focus] - "Capturing image..."
[2022-06-25T00:39:48.758 EDT INFO ][ org.kde.kstars.indi] - QHY CCD QHY294PROM-12a6 : "[INFO] Exposure done, downloading image... "
[2022-06-25T00:39:53.038 EDT WARN ][ org.kde.kstars.ekos.capture] - "{Device: QHY CCD QHY294PROM-12a6 Property: CCD1 Element: CCD1 Chip: 0}" Ignoring Received FITS as it has the wrong capture mode 1
[2022-06-25T00:39:53.039 EDT INFO ][ org.kde.kstars.ekos.focus] - "Image received."
[2022-06-25T00:39:53.041 EDT INFO ][ org.kde.kstars.ekos.focus] - "Detecting sources..."
[2022-06-25T00:39:53.654 EDT INFO ][ org.kde.kstars.ekos.focus] - "Detection complete."
[2022-06-25T00:39:53.693 EDT INFO ][ org.kde.kstars.ekos.focus] - "Focusing inward by 1000 steps..."
[2022-06-25T00:39:53.706 EDT INFO ][ org.kde.kstars.indi] - LX200 OnStep : "[INFO] Focuser is moving to position 28266 "
[2022-06-25T00:39:55.856 EDT INFO ][ org.kde.kstars.ekos.focus] - "Capturing image..."
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Yes - I am configured to use my imaging scope via OAG - as I was having issue guiding (a mechanical issue now solved) the guider was having kittens since the focus was constantly changing due to the focus routing - this ended up in a situation where I could not focus, so position changes causing guider craziness causing focus problems-> a feedback loop of horrors 
If you let me know the area in code I could write up a change and test it out - back a awhile ago I do remember seeing the guiding pause when focus was happening even with my guide scope (maybe I was dreaming )
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3.5.7 (beta)
Initial conditions: running sequence with filter changes - autofocus on filter change - checkbox selected for "supend guiding" in focuser tab
Expected result - Guiding should pause (used to)
Actual: Guiding continues and had to manually disable the two axis checkboxes (since under scheduler if you STOP guiding it will be put back ON)
This is new behavior within a couple of builds as the suspend was good in the past
should be simple to replicate
Â
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Khalid - can you crash at will? if so humour me here - as you know I have a number of systems and under constant settings and conditions I randomly crash...BUT I have found if I turn off logging completely I do not randomly crash - Your crash on park may not be the park process but LOGGING about the park process - every crash I get is related somehow to Q lib(either io or audio) so my suspicion is that the the values used in motion and parking blow up when being logged - if you can replicate you crash, try a few time with no logging turned on - it would almost verify my theory....I am too random to verify
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Since all of the last work on status and mount state/position ect that largely solved MF issues, I ran into an interesting case last night that I THINK can be solved by the correct choices in settings somewhere:
1) mount and EKOS operating fine gathering images
2) MF is marked and executes - guide is suspended as expected - a nice 75 second flip which is normal for my mount and slew speeds
3) the coordinates for the slew are correct (M33) and I expect to be out by some margin
At the exact same time as per Murphey's Law, the sky goes to crap at EXACTLY the same time which results in "solved failed:
[2021-10-20T01:08:47.830 EDT INFO ][   org.kde.kstars.ekos.mount] - Meridian flip: slewing to RA= "01h 35m 05s" DEC= " 30° 46' 20\""  Hour Angle  "00h 00m 40s"
[2021-10-20T01:08:47.830 EDT INFO ][ Â Â org.kde.kstars.ekos.mount] - "Meridian flip started."
[2021-10-20T01:08:47.914 EDT INFO ][ Â Â org.kde.kstars.ekos.guide] - "Autoguiding aborted."
[2021-10-20T01:08:48.134 EDT INFO ][ Â Â org.kde.kstars.ekos.mount] - "Meridian flip slew started..."
[2021-10-20T01:08:48.254 EDT INFO ][ Â Â Â Â Â org.kde.kstars.indi] - LX200 OnStep : Â "[INFO] Slewing to RA: Â 1:35:05 - DEC: 30:46:20 "
[2021-10-20T01:08:48.268 EDT INFO ][ Â Â Â Â Â org.kde.kstars.indi] - LX200 OnStep : Â "[ERROR] Cannot guide while slewing or parking in progress. Stop first. "
[2021-10-20T01:08:48.282 EDT INFO ][ Â Â Â Â Â org.kde.kstars.indi] - LX200 OnStep : Â "[ERROR] Cannot guide while slewing or parking in progress. Stop first. "
[2021-10-20T01:08:48.615 EDT INFO ][ Â Â Â Â Â org.kde.kstars.indi] - LX200 OnStep : Â "[INFO] Mount is unparked. "
[2021-10-20T01:09:12.542 EDT INFO ][ Â Â Â Â Â org.kde.kstars.indi] - LX200 OnStep : Â "[INFO] Mount is unparked. "
[2021-10-20T01:10:02.991 EDT INFO ][ Â Â Â Â Â org.kde.kstars.indi] - LX200 OnStep : Â "[INFO] Mount is unparked. "
[2021-10-20T01:10:03.729 EDT INFO ][ Â Â org.kde.kstars.ekos.mount] - "Meridian flip completed OK."
[2021-10-20T01:10:03.730 EDT INFO ][ Â Â org.kde.kstars.ekos.mount] - "Meridian flip completed."
[2021-10-20T01:10:03.769 EDT INFO ][ Â org.kde.kstars.ekos.capture] - "Telescope completed the meridian flip."
[2021-10-20T01:10:04.454 EDT INFO ][ Â org.kde.kstars.ekos.capture] - "Performing post flip re-alignment..."
[2021-10-20T01:10:07.643 EDT INFO ][ Â Â org.kde.kstars.ekos.align] - "Capturing image..."
[2021-10-20T01:10:14.497 EDT INFO ][ Â Â Â Â Â org.kde.kstars.indi] - QHY CCD QHY183M-ec51fb4 : Â "[INFO] Exposure done, downloading image... "
[2021-10-20T01:10:19.363 EDT WARN ][ Â org.kde.kstars.ekos.capture] - "{Device: QHY CCD QHY183M-ec51fb4 Property: CCD1 Element: CCD1 Chip: 0}" Ignoring Received FITS as meridian flip stage is 7
[2021-10-20T01:10:19.363 EDT INFO ][ Â Â org.kde.kstars.ekos.align] - "Image received."
[2021-10-20T01:10:20.232 EDT INFO ][ Â Â org.kde.kstars.ekos.align] - "No stars were found, so the image cannot be solved"
[2021-10-20T01:10:20.235 EDT INFO ][ Â Â org.kde.kstars.ekos.align] - "Solver Failed."
[2021-10-20T01:10:20.237 EDT INFO ][ Â Â org.kde.kstars.ekos.align] - "Please check you have sufficient stars in the image. Enable Alignment Logging in Setup Tab -> Logs to get detailed information on the failure."
[2021-10-20T01:10:20.239 EDT INFO ][ Â org.kde.kstars.ekos.capture] - "Post-flip alignment failed. Retrying..."
...
[2021-10-20T01:10:52.635 EDT INFO ][ Â Â org.kde.kstars.ekos.align] - "Please check you have sufficient stars in the image. Enable Alignment Logging in Setup Tab -> Logs to get detailed information on the failure."
[2021-10-20T01:10:52.637 EDT INFO ][ Â org.kde.kstars.ekos.capture] - "Post-flip alignment failed."
[2021-10-20T01:10:52.639 EDT INFO ][ Â org.kde.kstars.ekos.capture] - "CCD capture aborted"
[2021-10-20T01:10:53.248 EDT INFO ][ org.kde.kstars.ekos.scheduler] - "Warning: job 'M 33 V2' failed to capture target."
[2021-10-20T01:10:53.251 EDT INFO ][ org.kde.kstars.ekos.scheduler] - "Job 'M 33 V2' is capturing, is restarting its guiding procedure (attempt #1 of 5)."
[2021-10-20T01:10:53.256 EDT INFO ][ org.kde.kstars.ekos.scheduler] - "Starting guiding procedure for M 33 V2 ..."
[2021-10-20T01:10:56.311 EDT INFO ][ Â Â org.kde.kstars.ekos.guide] - "Failed to select an auto star."
So post flip align fails but guide starts up and I wind up with a load of images of a starfield close to M33 - now notice the STATE of Align for the rest of the session - "In Progress"Â :
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
and note - second camera operation happens in the background - you can see it in the INDI control panel taking an image but do not expect to see the main camera window show any action on the second cam....all the activity is INDI direct and not through EKOS
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Go to this thread : www.indilib.org/forum/ekos/9609-dual-cam...maging-realized.html that I posted above
1) at a console while INDI is running issue indi.getprop - you will see a flow of device output and there you can capture the NAME of your camera
2) take the script from the thread above...any text editor...and change name of the camer to what you have - save that script as a .sh script file in whatever directory you want
3) in CAMERA panel in EKOS look fo rthe script button...select the pre-capture script bod and use selectoin tool to fin your new .sh script
#!/bin/bash
echo "taking a picture"
#indi_getprop
indi_setprop "QHY CCD QHY294PROC-4e75.CCD_EXPOSURE.CCD_EXPOSURE_VALUE=300" <<<<<<<you set the camera to what you really have and whatever time you need
echo "command sent"
exit 0
Then as you add sequences that script will be added to the sequence
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nope - I just keep a driectory call "scripts" in my home on the PI....you select the script form anywhere - remember you need to CHMOD the script so it is executable (google that)
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And note that is an older post - since that time the pre-capture script is now corrected by Jasem in an official way and it is available now in current builds so no personal coding required
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A script and details are in this thread www.indilib.org/forum/ekos/9609-dual-cam...maging-realized.html
On the capture tab you will see a scripts button - select pre-capture and point to the script you create - it is a simple matter of indi.setprops call with your camera details that you can find from getprops call
I shoot all sessions with this method
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