[Kovarex] [0.15.10] Bots fail placing ghosted items in forests
[Kovarex] [0.15.10] Bots fail placing ghosted items in forests
With the new Shift click functionality, you can easily put down blueprints in forests. However, sometimes this doesn't work 100% correct. There are slight edge-cases (literally) with trees. The ghost design is put on a location and the tree next to it won't be marked for removal, probably as it's just out of range. The problem here is that the tree is still blocking the tile to put the object on (most notable with walls). If you hover over the tile, the tree will usually highlight and you can manually remove it. Then the bot will attempt to place it again. Until then, the bot will simply hover over the location until it can place it.
Re: [0.15.10] Bots fail placing ghosted items in forests
Do you have a save that exhibits the behaviour?
I only ask because I have never experienced it before and I have placed a lot of buildings in forests (mainly rails and walls for corners).
I only ask because I have never experienced it before and I have placed a lot of buildings in forests (mainly rails and walls for corners).
Re: [0.15.10] Bots fail placing ghosted items in forests
It might be related to the fact, that deconstruction orders have a limited lifetime. This can sometimes result in a situation, that blueprint place long time ago still persists, but the deconstruction orders times out.
Couldn't it be the case?
If not, can you reproduce it? Without more precise info, we can't really do anything.
Couldn't it be the case?
If not, can you reproduce it? Without more precise info, we can't really do anything.
Re: [0.15.10] Bots fail placing ghosted items in forests
I just had it again, happens in dense forests, note the design of my wall is a bit weird:


This happens with fresh placements. Here's the blueprint I was using:


This happens with fresh placements. Here's the blueprint I was using:
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
Re: [0.15.10] Bots fail placing ghosted items in forests
Hi,
It's in pending already, so I would say that the issue has been spotted already but in any case, here are my findings.
When the blueprint is placed only the collision box of the single wall entity is taken into consideration instead of the fully connected wall segment as it will become when the wall is laid. Image of the waiting robot. After I have mined the offending tree. The original tree's collision box can still be seen in the tree stump's collision box (as the size does not change, only your ability to collide with it).
It's easy to see that there is a 2 pixel overlap that was preventing the placement of the wall. Shows the difference in an unconnected walls collision box vs a wall segment that is connected to an adjacent one.
From this it's easy to see that the first, unconnected collision box is being considered when marking trees for deconstruction.
It's in pending already, so I would say that the issue has been spotted already but in any case, here are my findings.
When the blueprint is placed only the collision box of the single wall entity is taken into consideration instead of the fully connected wall segment as it will become when the wall is laid. Image of the waiting robot. After I have mined the offending tree. The original tree's collision box can still be seen in the tree stump's collision box (as the size does not change, only your ability to collide with it).
It's easy to see that there is a 2 pixel overlap that was preventing the placement of the wall. Shows the difference in an unconnected walls collision box vs a wall segment that is connected to an adjacent one.
From this it's easy to see that the first, unconnected collision box is being considered when marking trees for deconstruction.
Re: [0.15.10] Bots fail placing ghosted items in forests
Now I get it. Your conclusion is correct. I knew that this might be theoretically a problem, but didn't expect it to happen, I didn't realized the corner case. (pun intended)
Re: [Kovarex] [0.15.10] Bots fail placing ghosted items in forests
Fixed for the next release.