Convert the route-manager to use a flight-plan internally, and expose
flightplan, leg and procedure data to Nasal. Move the Level-D parser
into its own file.
When no navaid is found, '_ref_navaid_id_node->setStringValue("")' results
in a listener firing, which requests another navaid update when no navaid
is available.
=> Resulted in FGPositioned::findClosest being called in every update loop,
when no navaid was within range.
- default to an invalid altitude in routes, instead of cruise altitude (temporarily)
- only set an altitude on the autopilot, if valid
- only add departure airport/runway to the route, if not airborne
* When the nav-radio is slaved, calculated radial/target-hdg-deg
(needed by some autopilot logic)
* Handle editing (including deletion) of route waypoints correctly,
including deleting the active waypoint
* Add a signal to the route manager when the last wpt is reached, and
use it in the GPS to revert to OBS mode.
* Change the altitude handling to use the specified cruise altitude
* Fix a bug where autopilot/locks/altitude was treated as a boolean
The quotes form is normally only used for headers with path relative
to the including file's path, though the standard doesn't strictly
mandate this. This is consistent with the rest of sg/fg, it makes the
code's intent clearer and helps to find headers. (And it's a few
milliseconds faster, too.)
Here's a patch which refactors the 'plain' GPS code into a slightly
more manageable structure - i.e breaks the large update() method into
various sub-functions. I've tested the patch with B1900d, and things
seem to work as expected, but if anyone experiences GPS weirdness
after this is committed, of course please report it.
The motivation for this was helping me learn the code - I've planning
some changes in this area, and splitting up the logic will hopefully
make that task easier.
Here's part 2 - converting FGFix (the simplest one) to be both heap-based and inherit FGPositioned. One minor benefit from this is replacing some dangerous code in FGFixList which used to return the address of an iterator member ('&it->second'). To keep the diff a sensible size, I'm not updating the callers to use the richer FGPositioned types - i.e replacing separate lat/lon handling with SGGeod. I will make those cleanups, but in future patches.
Attached patch + new file make FGNavRecord have a .cxx file, and a constructor w
hich allows all the parameters to be supplied. Along the way I also cleaned up t
he navrecord.hxx header, lots more header pollution has been killed.
Some long methods are no longer inline, but were all suspiciously long to meet c
ompiler inlining criteria (I'm not clear if the 'inline' keyword is advisory or
mandatory in this situation) - I don't expect this to affect performance in any
way whatsoever.
The constructor addition is to support some hacking I'm doing improving the star
tup performance of the navDB by lazily loading the data, and caching it in a mor
e efficient format than text. I'm submitting this change (and probably some othe
r small tweaks in the future) since they are worthwhile as cleanups regardless o
f how my current experiments work out.
- this exposed a bizarre issue on Mac where dragging in <AGL/agl.h> in
extensions.hxx was pulling in all of Carbon to the global namespace
- very scary. As a result, I now need to explicitly include CoreFoundation
in fg_init.cxx.
- change SG_USING_STD(x) to using std::x
version
* Delete ai list objects in ~ATC/AIMgr.cxx:AIMgr::~AIMgr()
* Delete colors in GUI/new_gui.cxx: NewGui::~NewGui.cxx
* Delete memory allocated to the class member "route" in
Instrumentation/gps.cxx
* Delete all globals (except a few "unsafe" ones that still cause segfaults
and need further examination.
* Use an SGShared pointer for navaid memory allocation, so that pointers to
individual navaid objects can be included safely in multiple navaid lists
the next airport or airport with METAR station, but about any type of
airport
- as a side effect this change makes it also 30 to 50% faster :-)
In the long run this linear search shall be replaced with a spatial
algorithm (like octree), which will be a much bigger performance gain.
