- This context requires core suspend lock and asserts it in a few places.
- Special 'event' objects are introduced. They can be invoked as
functions, in which case they iterate all their fields and call
them as functions. Errors are printed and consumed.
- When a plugin is opened by the core context, events registered in
a special array are linked to it. The system is organized so as to
avoid even trying to pass the event to lua if the module isn't loaded.
- To ensure reload safety functions have to be wrapped. Every call
checks the loaded state and locks a mutex in Plugin. If the plugin
is unloaded, calling its functions throws a lua error. Therefore,
plugins may not create closures or export yieldable functions.
- The set of function argument and return types supported by
LuaWrapper is severely limited when compared to being compiled
inside the main library.
Currently supported types: numbers, bool, std::string, df::foo,
df::foo*, std::vector<bool>, std::vector<df::foo*>.
- To facilitate postponing initialization until after all plugins
have been loaded, the core sends a SC_CORE_INITIALIZED event.
- As an example, the burrows plugin now exports its functions.
Structs enumerate fields in memory order in pairs().
Containers & biftields enumerate int indexes in ipairs, and
string keys in pairs (i.e. using index-enum for arrays).
E.g. df.global.cursor = { x = 1, y = 2, z = 3 }. The lua data
must be represented by raw lua tables.
For structs, the entries in the table are assigned to matching fields.
For containers, if a 'resize' field is missing or nil, the table is
treated like 1-based lua array, and the container is resized to match
its # length. Otherwise, the field must be either an explicit number,
true or false. If it is true, the size is selected by the highest index
in the table. After that, entries are copied using 0-based indices.
For pointers, the table must match the target object. If the pointer
is null, the object is auto-allocated; this can be controlled using
the 'new' field, the value of which will be passed to df.new().
Alexander Gavrilov