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Merge pull request #11: Revamp the package
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maleadt committed Mar 8, 2023
2 parents 2211831 + d7d683c commit 64628ec
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45 changes: 45 additions & 0 deletions .github/workflows/CompatHelper.yml
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name: CompatHelper
on:
schedule:
- cron: 0 0 * * *
workflow_dispatch:
permissions:
contents: write
pull-requests: write
jobs:
CompatHelper:
runs-on: ubuntu-latest
steps:
- name: Check if Julia is already available in the PATH
id: julia_in_path
run: which julia
continue-on-error: true
- name: Install Julia, but only if it is not already available in the PATH
uses: julia-actions/setup-julia@v1
with:
version: '1'
# arch: ${{ runner.arch }}
if: steps.julia_in_path.outcome != 'success'
- name: "Add the General registry via Git"
run: |
import Pkg
ENV["JULIA_PKG_SERVER"] = ""
Pkg.Registry.add("General")
shell: julia --color=yes {0}
- name: "Install CompatHelper"
run: |
import Pkg
name = "CompatHelper"
uuid = "aa819f21-2bde-4658-8897-bab36330d9b7"
version = "3"
Pkg.add(; name, uuid, version)
shell: julia --color=yes {0}
- name: "Run CompatHelper"
run: |
import CompatHelper
CompatHelper.main()
shell: julia --color=yes {0}
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
COMPATHELPER_PRIV: ${{ secrets.DOCUMENTER_KEY }}
# COMPATHELPER_PRIV: ${{ secrets.COMPATHELPER_PRIV }}
11 changes: 11 additions & 0 deletions .github/workflows/TagBot.yml
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name: TagBot
on:
schedule:
- cron: 0 * * * *
jobs:
TagBot:
runs-on: ubuntu-latest
steps:
- uses: JuliaRegistries/TagBot@v1
with:
token: ${{ secrets.GITHUB_TOKEN }}
37 changes: 37 additions & 0 deletions .github/workflows/ci.yml
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name: CI
on:
push:
branches: [main, master]
tags: ["*"]
pull_request:
jobs:
test:
name: Julia ${{ matrix.version }} - ${{ matrix.os }} - ${{ matrix.arch }} - ${{ github.event_name }}
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
version:
- '1.6'
- '1'
os:
- macOS-latest
arch:
- x64
steps:
- uses: actions/checkout@v2
- uses: julia-actions/setup-julia@v1
with:
version: ${{ matrix.version }}
arch: ${{ matrix.arch }}
- uses: actions/cache@v1
env:
cache-name: cache-artifacts
with:
path: ~/.julia/artifacts
key: ${{ runner.os }}-test-${{ env.cache-name }}-${{ hashFiles('**/Project.toml') }}
restore-keys: |
${{ runner.os }}-test-${{ env.cache-name }}-
${{ runner.os }}-test-
${{ runner.os }}-
- uses: julia-actions/julia-runtest@v1
3 changes: 1 addition & 2 deletions .gitignore
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deps/cocoa.dylib
Manifest.toml
12 changes: 12 additions & 0 deletions Project.toml
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name = "ObjectiveC"
uuid = "e86c9b32-1129-44ac-8ea0-90d5bb39ded9"
version = "0.1.0"

[deps]
CEnum = "fa961155-64e5-5f13-b03f-caf6b980ea82"

[extras]
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["Test"]
212 changes: 149 additions & 63 deletions README.md
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# ObjectiveC.jl

*Objective-C bridge for Julia*


## Quick start

ObjectiveC.jl is a registered package, so you can install it using the package manager:

```julia
Pkg.clone("ObjectiveC")
Pkg.add("ObjectiveC")
```

ObjectiveC.jl is an Objective-C bridge for Julia. The library allows you to call Objective-C methods using native syntax:
The library allows you to call Objective-C methods using almost-native syntax:

```julia
using ObjectiveC
julia> using ObjectiveC

@objc [NSString new]
julia> @objc [NSString new]::id{Object}
id{Object}(0x00006000008a4760)
```

This makes it easy to wrap Objective-C APIs from Julia.
For performance reasons, ObjectiveC.jl requires you to specify the type of the call and
any arguments using Julia type-assertion syntax (`::id{Object}` in the example above).

Although it is possible to build Julia APIs around this functionality, manually keeping
track of `id` pointers, it is possible to have ObjectiveC.jl do this for you:

```julia
using ObjectiveC
julia> @objcwrapper NSValue

@classes NSSound
julia> obj_ptr = @objc [NSValue valueWithPointer:C_NULL::Ptr{Cvoid}]::id{NSValue}
id{NSValue}(0x00006000023cfca0)

function play(name::String)
@objc begin
sound = [NSSound soundNamed:name]
if [sound isPlaying] |> bool
[sound stop]
end
[sound play]
end
end
julia> obj = NSValue(obj_ptr)
NSValueInstance (object of type NSConcreteValue)
```

The generated `NSValue` class is an abstract type that implements the type hierarchy, while
the `NSValueInstance` object is a concrete structure that houses the `id` pointer. This
split makes it possible to implement multi-level inheritance and attach functionality at
each level of the hierarchy, and should be entirely transparent to the user (i.e., you
should never need to use the `*Instance` types in code or signatures).

The `@objcwrapper` macro also generates conversion routines and accessors that makes it
possible to use these objects directly with `@objc` calls that require `id` pointers:

play("Purr")
```julia
julia> get_pointer(val::NSValue) = @objc [val::id{NSValue} pointerValue]::Ptr{Cvoid}

julia> get_pointer(obj)
Ptr{Nothing} @0x0000000000000000
```


## Properties

A common pattern in Objective-C is to use properties to acces instance variables. Although
it is possible to access these directly using `@objc`, ObjectiveC.jl provides a macro to
automatically generate the appropriate `getproperty`, `setproperty!` and `propertynames`
definitions:

```julia
julia> @objcproperties NSValue begin
@autoproperty pointerValue::Ptr{Cvoid}
end

julia> obj.pointerValue
Ptr{Nothing} @0x0000000000000000
```

ObjectiveC.jl also supports defining classes, using a variant of Objective-C
syntax (which eschews the interface/implementation distinction):
The behavior of `@objcproperties` can be customized by passing keyword arguments to the
property macros:

```julia
@class type Foo
@- (Cdouble) multiply:(Cdouble)x by:(Cdouble)y begin
x*y # Note that this is Julia code
@objcproperties SomeObject begin
# simplest definition: just generate a getter,
# and convert the property value to `DstTyp`
@autoproperty someProperty::DstTyp

# also generate a setter
@autoproperty someProperty::DstTyp setter=setSomeProperty

# if the property is an ObjC object, use an object pointer type.
# this will make sure to do a nil check and return nothing,
# or convert the pointer to an instance of the specified type
@autoproperty someProperty::id{DstTyp}

# sometimes you may want to convert to a different type
@autoproperty someStringProperty::id{NSString} typ=String

# and finally, if more control is needed, just do it yourselv:
@getproperty someComplexProperty function(obj)
# do something with obj
# return a value
end
@setproperty! someComplexProperty function(obj, val)
# do something with obj and val
# return nothing
end
end

@objc [[Foo new] multiply:5 by:3]
#> 15
```

You can leave out the type to default to `Object`. So long as you don't change
the type of the method, you're able to redefine it on the fly – even if you've
already created instances of the class and used them as delegates.

## using Cocoa
## Blocks

The library provides some basic wrappers for the Cocoa framework for creating
GUIs. Despite having generally nice APIs Objective-C is ridiculously verbose, so
it's handy to have Julia wrappers for most functionality.
Julia callables can be converted to Objective-C blocks using the `@objcblock` macro:

```julia
using ObjectiveC, Cocoa
Cocoa.init()
win = window()
julia> function hello(x)
println("Hello, $x!")
x+1
end
julia> block = @objcblock(hello, Cint, (Cint,))
```

This will pop up a window with the title "Julia". Now let's try something more
interesting:
This object can now be passed to Objective-C methods that take blocks as arguments. Note
that before Julia 1.9, blocks should only ever be called from Julia-managed threads, or else
your application will crash.

If you need to use blocks that may be called from unrelated threads on Julia 1.8 or earlier,
you can use the `@objasyncblock` macro instead. This variant takes an `AsyncCondition` that
will be executed on the libuv event loop after the block has been called. Note that there
may be some time between the block being called and the condition being executed, and libuv
may decide to coalesce multiple conditions into a single execution, so it is preferred to
use `@objcblock` whenever possible. It is also not possible to pass any arguments to the
condition, but you can use a closure to capture any state you need:

```julia
for α = linspace(0,π,50)
@objc [win setAlphaValue:cos(α)^2]
sleep(1/100)
end
julia> counter = 0
julia> cond = Base.AsyncCondition() do async_cond
counter += 1
end
julia> block = @objcasyncblock(cond)
```


## API wrappers

ObjectiveC.jl also provides ready-made wrappers for essential frameworks like Foundation:

```julia
julia> using .Foundation


julia> str = NSString("test")
NSString("test")


julia> NSArray([str, str])
(
test,
test
)


julia> d = NSDictionary(Dict(str=>str))
{
test = test;
}

julia> d[str]
id{Object}(0x836f2afbc3a7b349)

julia> Dict{NSString,NSString}(d)
Dict{NSString, NSString} with 1 entry:
"test" => "test"
```

You should see the window fade in and out again.

If you're using [Juno](http://junolab.org), I encourage you to try uncommenting
[this line](https://github.com/one-more-minute/ObjectiveC.jl/blob/65f8605657a9a5c7bf5eab6cea89c6c431ff332d/src/cocoa/cocoa.jl#L48)
and pressing `C-Enter` to evaluate the class definition (after opening a window
as above). You'll notice that the class is actually redefined on-the-fly, and
you'll hear a popping sound as the `tick` method is called (and you can do the
reverse to stop the sound, of course).

## Current Limitations

* Julia's FFI doesn't have great support for structs yet, so neither does
ObjectiveC.jl. Luckily structs aren't too common in Objective-C APIs, and
where they are used it's not too difficult to add wrappers (see
[cocoa.m](deps/cocoa.m))
* Objective-C calls made from Julia are not as fast as they could be. This
is fine for most GUI-related purposes, since most calls will be callbacks
made by the Objective-C runtime, but may not be suitable for use with
high-performance scientific computing libraries written in Objective-C.
* Instance variables are not yet supported on classes.
* Probably other things I haven't thought of; ObjectiveC.jl has not been used
for any remotely large projects yet so proceed with caution.

## Current status

ObjectiveC.jl has recently been revamped, and is still under heavy development. Do not
assume its APIs are stable until version 1.0 is released. That said, it is being used
as the main FFI for [Metal.jl](https://github.com/JuliaGPU/Metal.jl), so you can expect
the existing functionality to be fairly solid.

In the process of revamping the package, some functionality was lost, including the ability
to define Objective-C classes using native-like syntax. If you are interested, please take a
look at the repository [before the
revamp](https://github.com/JuliaInterop/ObjectiveC.jl/tree/22118319da1fb7601d2a3ecefb671ffbb5e57012)
and consider contributing a PR to bring it back.
2 changes: 0 additions & 2 deletions REQUIRE

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8 changes: 0 additions & 8 deletions deps/Makefile

This file was deleted.

1 change: 0 additions & 1 deletion deps/build.jl

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4 comments on commit 64628ec

@maleadt
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@maleadt maleadt commented on 64628ec Mar 8, 2023

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Error while trying to register: Register Failed
@maleadt, it looks like you are not a publicly listed member/owner in the parent organization (JuliaInterop).
If you are a member/owner, you will need to change your membership to public. See GitHub Help

@maleadt
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@maleadt maleadt commented on 64628ec Mar 8, 2023

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Registration pull request created: JuliaRegistries/General/79159

After the above pull request is merged, it is recommended that a tag is created on this repository for the registered package version.

This will be done automatically if the Julia TagBot GitHub Action is installed, or can be done manually through the github interface, or via:

git tag -a v0.1.0 -m "<description of version>" 64628ecb3c4ae851bc29ef11885971c696b3a754
git push origin v0.1.0

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