naiveproxy/tools/gn/functions_target.cc
2018-01-29 00:30:36 +08:00

800 lines
28 KiB
C++

// Copyright (c) 2013 The Chromium Authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#include "tools/gn/functions.h"
#include "tools/gn/config_values_generator.h"
#include "tools/gn/err.h"
#include "tools/gn/parse_tree.h"
#include "tools/gn/scope.h"
#include "tools/gn/target_generator.h"
#include "tools/gn/template.h"
#include "tools/gn/value.h"
#include "tools/gn/variables.h"
#define DEPENDENT_CONFIG_VARS \
" Dependent configs: all_dependent_configs, public_configs\n"
#define DEPS_VARS \
" Deps: data_deps, deps, public_deps\n"
#define GENERAL_TARGET_VARS \
" General: check_includes, configs, data, inputs, output_name,\n" \
" output_extension, public, sources, testonly, visibility\n"
namespace functions {
namespace {
Value ExecuteGenericTarget(const char* target_type,
Scope* scope,
const FunctionCallNode* function,
const std::vector<Value>& args,
BlockNode* block,
Err* err) {
NonNestableBlock non_nestable(scope, function, "target");
if (!non_nestable.Enter(err))
return Value();
if (!EnsureNotProcessingImport(function, scope, err) ||
!EnsureNotProcessingBuildConfig(function, scope, err))
return Value();
Scope block_scope(scope);
if (!FillTargetBlockScope(scope, function, target_type, block,
args, &block_scope, err))
return Value();
block->Execute(&block_scope, err);
if (err->has_error())
return Value();
TargetGenerator::GenerateTarget(&block_scope, function, args,
target_type, err);
if (err->has_error())
return Value();
block_scope.CheckForUnusedVars(err);
return Value();
}
} // namespace
// action ----------------------------------------------------------------------
// Common help paragraph on script runtime execution directories.
#define SCRIPT_EXECUTION_CONTEXT \
" The script will be executed with the given arguments with the current\n"\
" directory being that of the root build directory. If you pass files\n"\
" to your script, see \"gn help rebase_path\" for how to convert\n" \
" file names to be relative to the build directory (file names in the\n" \
" sources, outputs, and inputs will be all treated as relative to the\n" \
" current build file and converted as needed automatically).\n"
// Common help paragraph on script output directories.
#define SCRIPT_EXECUTION_OUTPUTS \
" All output files must be inside the output directory of the build.\n" \
" You would generally use |$target_out_dir| or |$target_gen_dir| to\n" \
" reference the output or generated intermediate file directories,\n" \
" respectively.\n"
#define ACTION_DEPS \
" The \"deps\" and \"public_deps\" for an action will always be\n" \
" completed before any part of the action is run so it can depend on\n" \
" the output of previous steps. The \"data_deps\" will be built if the\n" \
" action is built, but may not have completed before all steps of the\n" \
" action are started. This can give additional parallelism in the build\n"\
" for runtime-only dependencies.\n"
const char kAction[] = "action";
const char kAction_HelpShort[] =
"action: Declare a target that runs a script a single time.";
const char kAction_Help[] =
R"(action: Declare a target that runs a script a single time.
This target type allows you to run a script a single time to produce one or
more output files. If you want to run a script once for each of a set of
input files, see "gn help action_foreach".
Inputs
In an action the "sources" and "inputs" are treated the same: they're both
input dependencies on script execution with no special handling. If you want
to pass the sources to your script, you must do so explicitly by including
them in the "args". Note also that this means there is no special handling of
paths since GN doesn't know which of the args are paths and not. You will
want to use rebase_path() to convert paths to be relative to the
root_build_dir.
You can dynamically write input dependencies (for incremental rebuilds if an
input file changes) by writing a depfile when the script is run (see "gn help
depfile"). This is more flexible than "inputs".
If the command line length is very long, you can use response files to pass
args to your script. See "gn help response_file_contents".
It is recommended you put inputs to your script in the "sources" variable,
and stuff like other Python files required to run your script in the "inputs"
variable.
)"
ACTION_DEPS
R"(
Outputs
You should specify files created by your script by specifying them in the
"outputs".
)"
SCRIPT_EXECUTION_CONTEXT
R"(
File name handling
)"
SCRIPT_EXECUTION_OUTPUTS
R"(
Variables
args, data, data_deps, depfile, deps, inputs, outputs*, pool,
response_file_contents, script*, sources
* = required
Example
action("run_this_guy_once") {
script = "doprocessing.py"
sources = [ "my_configuration.txt" ]
outputs = [ "$target_gen_dir/insightful_output.txt" ]
# Our script imports this Python file so we want to rebuild if it changes.
inputs = [ "helper_library.py" ]
# Note that we have to manually pass the sources to our script if the
# script needs them as inputs.
args = [ "--out", rebase_path(target_gen_dir, root_build_dir) ] +
rebase_path(sources, root_build_dir)
}
)";
Value RunAction(Scope* scope,
const FunctionCallNode* function,
const std::vector<Value>& args,
BlockNode* block,
Err* err) {
return ExecuteGenericTarget(functions::kAction, scope, function, args,
block, err);
}
// action_foreach --------------------------------------------------------------
const char kActionForEach[] = "action_foreach";
const char kActionForEach_HelpShort[] =
"action_foreach: Declare a target that runs a script over a set of files.";
const char kActionForEach_Help[] =
R"(action_foreach: Declare a target that runs a script over a set of files.
This target type allows you to run a script once-per-file over a set of
sources. If you want to run a script once that takes many files as input, see
"gn help action".
Inputs
The script will be run once per file in the "sources" variable. The "outputs"
variable should specify one or more files with a source expansion pattern in
it (see "gn help source_expansion"). The output file(s) for each script
invocation should be unique. Normally you use "{{source_name_part}}" in each
output file.
If your script takes additional data as input, such as a shared configuration
file or a Python module it uses, those files should be listed in the "inputs"
variable. These files are treated as dependencies of each script invocation.
If the command line length is very long, you can use response files to pass
args to your script. See "gn help response_file_contents".
You can dynamically write input dependencies (for incremental rebuilds if an
input file changes) by writing a depfile when the script is run (see "gn help
depfile"). This is more flexible than "inputs".
)"
ACTION_DEPS
R"(
Outputs
)"
SCRIPT_EXECUTION_CONTEXT
R"(
File name handling
)"
SCRIPT_EXECUTION_OUTPUTS
R"(
Variables
args, data, data_deps, depfile, deps, inputs, outputs*, pool,
response_file_contents, script*, sources*
* = required
Example
# Runs the script over each IDL file. The IDL script will generate both a .cc
# and a .h file for each input.
action_foreach("my_idl") {
script = "idl_processor.py"
sources = [ "foo.idl", "bar.idl" ]
# Our script reads this file each time, so we need to list is as a
# dependency so we can rebuild if it changes.
inputs = [ "my_configuration.txt" ]
# Transformation from source file name to output file names.
outputs = [ "$target_gen_dir/{{source_name_part}}.h",
"$target_gen_dir/{{source_name_part}}.cc" ]
# Note that since "args" is opaque to GN, if you specify paths here, you
# will need to convert it to be relative to the build directory using
# rebase_path().
args = [
"{{source}}",
"-o",
rebase_path(relative_target_gen_dir, root_build_dir) +
"/{{source_name_part}}.h" ]
}
)";
Value RunActionForEach(Scope* scope,
const FunctionCallNode* function,
const std::vector<Value>& args,
BlockNode* block,
Err* err) {
return ExecuteGenericTarget(functions::kActionForEach, scope, function, args,
block, err);
}
// bundle_data -----------------------------------------------------------------
const char kBundleData[] = "bundle_data";
const char kBundleData_HelpShort[] =
"bundle_data: [iOS/macOS] Declare a target without output.";
const char kBundleData_Help[] =
R"(bundle_data: [iOS/macOS] Declare a target without output.
This target type allows to declare data that is required at runtime. It is
used to inform "create_bundle" targets of the files to copy into generated
bundle, see "gn help create_bundle" for help.
The target must define a list of files as "sources" and a single "outputs".
If there are multiple files, source expansions must be used to express the
output. The output must reference a file inside of {{bundle_root_dir}}.
This target can be used on all platforms though it is designed only to
generate iOS/macOS bundle. In cross-platform projects, it is advised to put it
behind iOS/macOS conditionals.
See "gn help create_bundle" for more information.
Variables
sources*, outputs*, deps, data_deps, public_deps, visibility
* = required
Examples
bundle_data("icudata") {
sources = [ "sources/data/in/icudtl.dat" ]
outputs = [ "{{bundle_resources_dir}}/{{source_file_part}}" ]
}
bundle_data("base_unittests_bundle_data]") {
sources = [ "test/data" ]
outputs = [
"{{bundle_resources_dir}}/{{source_root_relative_dir}}/" +
"{{source_file_part}}"
]
}
bundle_data("material_typography_bundle_data") {
sources = [
"src/MaterialTypography.bundle/Roboto-Bold.ttf",
"src/MaterialTypography.bundle/Roboto-Italic.ttf",
"src/MaterialTypography.bundle/Roboto-Regular.ttf",
"src/MaterialTypography.bundle/Roboto-Thin.ttf",
]
outputs = [
"{{bundle_resources_dir}}/MaterialTypography.bundle/"
"{{source_file_part}}"
]
}
)";
Value RunBundleData(Scope* scope,
const FunctionCallNode* function,
const std::vector<Value>& args,
BlockNode* block,
Err* err) {
return ExecuteGenericTarget(functions::kBundleData, scope, function, args,
block, err);
}
// create_bundle ---------------------------------------------------------------
const char kCreateBundle[] = "create_bundle";
const char kCreateBundle_HelpShort[] =
"create_bundle: [iOS/macOS] Build an iOS or macOS bundle.";
const char kCreateBundle_Help[] =
R"(create_bundle: [ios/macOS] Build an iOS or macOS bundle.
This target generates an iOS or macOS bundle (which is a directory with a
well-know structure). This target does not define any sources, instead they
are computed from all "bundle_data" target this one depends on transitively
(the recursion stops at "create_bundle" targets).
The "bundle_*_dir" properties must be defined. They will be used for the
expansion of {{bundle_*_dir}} rules in "bundle_data" outputs.
This target can be used on all platforms though it is designed only to
generate iOS or macOS bundle. In cross-platform projects, it is advised to put
it behind iOS/macOS conditionals.
If a create_bundle is specified as a data_deps for another target, the bundle
is considered a leaf, and its public and private dependencies will not
contribute to any data or data_deps. Required runtime dependencies should be
placed in the bundle. A create_bundle can declare its own explicit data and
data_deps, however.
Code signing
Some bundle needs to be code signed as part of the build (on iOS all
application needs to be code signed to run on a device). The code signature
can be configured via the code_signing_script variable.
If set, code_signing_script is the path of a script that invoked after all
files have been moved into the bundle. The script must not change any file in
the bundle, but may add new files.
If code_signing_script is defined, then code_signing_outputs must also be
defined and non-empty to inform when the script needs to be re-run. The
code_signing_args will be passed as is to the script (so path have to be
rebased) and additional inputs may be listed with the variable
code_signing_sources.
Variables
bundle_root_dir*, bundle_contents_dir*, bundle_resources_dir*,
bundle_executable_dir*, bundle_plugins_dir*, bundle_deps_filter, deps,
data_deps, public_deps, visibility, product_type, code_signing_args,
code_signing_script, code_signing_sources, code_signing_outputs,
xcode_extra_attributes, xcode_test_application_name, partial_info_plist
* = required
Example
# Defines a template to create an application. On most platform, this is just
# an alias for an "executable" target, but on iOS/macOS, it builds an
# application bundle.
template("app") {
if (!is_ios && !is_mac) {
executable(target_name) {
forward_variables_from(invoker, "*")
}
} else {
app_name = target_name
gen_path = target_gen_dir
action("${app_name}_generate_info_plist") {
script = [ "//build/ios/ios_gen_plist.py" ]
sources = [ "templates/Info.plist" ]
outputs = [ "$gen_path/Info.plist" ]
args = rebase_path(sources, root_build_dir) +
rebase_path(outputs, root_build_dir)
}
bundle_data("${app_name}_bundle_info_plist") {
deps = [ ":${app_name}_generate_info_plist" ]
sources = [ "$gen_path/Info.plist" ]
outputs = [ "{{bundle_contents_dir}}/Info.plist" ]
}
executable("${app_name}_generate_executable") {
forward_variables_from(invoker, "*", [
"output_name",
"visibility",
])
output_name =
rebase_path("$gen_path/$app_name", root_build_dir)
}
code_signing =
defined(invoker.code_signing) && invoker.code_signing
if (is_ios && !code_signing) {
bundle_data("${app_name}_bundle_executable") {
deps = [ ":${app_name}_generate_executable" ]
sources = [ "$gen_path/$app_name" ]
outputs = [ "{{bundle_executable_dir}}/$app_name" ]
}
}
create_bundle("${app_name}.app") {
product_type = "com.apple.product-type.application"
if (is_ios) {
bundle_root_dir = "${root_build_dir}/$target_name"
bundle_contents_dir = bundle_root_dir
bundle_resources_dir = bundle_contents_dir
bundle_executable_dir = bundle_contents_dir
bundle_plugins_dir = "${bundle_contents_dir}/Plugins"
extra_attributes = {
ONLY_ACTIVE_ARCH = "YES"
DEBUG_INFORMATION_FORMAT = "dwarf"
}
} else {
bundle_root_dir = "${root_build_dir}/target_name"
bundle_contents_dir = "${bundle_root_dir}/Contents"
bundle_resources_dir = "${bundle_contents_dir}/Resources"
bundle_executable_dir = "${bundle_contents_dir}/MacOS"
bundle_plugins_dir = "${bundle_contents_dir}/Plugins"
}
deps = [ ":${app_name}_bundle_info_plist" ]
if (is_ios && code_signing) {
deps += [ ":${app_name}_generate_executable" ]
code_signing_script = "//build/config/ios/codesign.py"
code_signing_sources = [
invoker.entitlements_path,
"$target_gen_dir/$app_name",
]
code_signing_outputs = [
"$bundle_root_dir/$app_name",
"$bundle_root_dir/_CodeSignature/CodeResources",
"$bundle_root_dir/embedded.mobileprovision",
"$target_gen_dir/$app_name.xcent",
]
code_signing_args = [
"-i=" + ios_code_signing_identity,
"-b=" + rebase_path(
"$target_gen_dir/$app_name", root_build_dir),
"-e=" + rebase_path(
invoker.entitlements_path, root_build_dir),
"-e=" + rebase_path(
"$target_gen_dir/$app_name.xcent", root_build_dir),
rebase_path(bundle_root_dir, root_build_dir),
]
} else {
deps += [ ":${app_name}_bundle_executable" ]
}
}
}
}
)";
Value RunCreateBundle(Scope* scope,
const FunctionCallNode* function,
const std::vector<Value>& args,
BlockNode* block,
Err* err) {
return ExecuteGenericTarget(functions::kCreateBundle, scope, function, args,
block, err);
}
// copy ------------------------------------------------------------------------
const char kCopy[] = "copy";
const char kCopy_HelpShort[] =
"copy: Declare a target that copies files.";
const char kCopy_Help[] =
R"(copy: Declare a target that copies files.
File name handling
All output files must be inside the output directory of the build. You would
generally use |$target_out_dir| or |$target_gen_dir| to reference the output
or generated intermediate file directories, respectively.
Both "sources" and "outputs" must be specified. Sources can include as many
files as you want, but there can only be one item in the outputs list (plural
is used for the name for consistency with other target types).
If there is more than one source file, your output name should specify a
mapping from each source file to an output file name using source expansion
(see "gn help source_expansion"). The placeholders will look like
"{{source_name_part}}", for example.
Examples
# Write a rule that copies a checked-in DLL to the output directory.
copy("mydll") {
sources = [ "mydll.dll" ]
outputs = [ "$target_out_dir/mydll.dll" ]
}
# Write a rule to copy several files to the target generated files directory.
copy("myfiles") {
sources = [ "data1.dat", "data2.dat", "data3.dat" ]
# Use source expansion to generate output files with the corresponding file
# names in the gen dir. This will just copy each file.
outputs = [ "$target_gen_dir/{{source_file_part}}" ]
}
)";
Value RunCopy(const FunctionCallNode* function,
const std::vector<Value>& args,
Scope* scope,
Err* err) {
if (!EnsureNotProcessingImport(function, scope, err) ||
!EnsureNotProcessingBuildConfig(function, scope, err))
return Value();
TargetGenerator::GenerateTarget(scope, function, args, functions::kCopy, err);
return Value();
}
// executable ------------------------------------------------------------------
const char kExecutable[] = "executable";
const char kExecutable_HelpShort[] =
"executable: Declare an executable target.";
const char kExecutable_Help[] =
R"(executable: Declare an executable target.
Variables
)"
CONFIG_VALUES_VARS_HELP
DEPS_VARS
DEPENDENT_CONFIG_VARS
GENERAL_TARGET_VARS;
Value RunExecutable(Scope* scope,
const FunctionCallNode* function,
const std::vector<Value>& args,
BlockNode* block,
Err* err) {
return ExecuteGenericTarget(functions::kExecutable, scope, function, args,
block, err);
}
// group -----------------------------------------------------------------------
const char kGroup[] = "group";
const char kGroup_HelpShort[] =
"group: Declare a named group of targets.";
const char kGroup_Help[] =
R"(group: Declare a named group of targets.
This target type allows you to create meta-targets that just collect a set of
dependencies into one named target. Groups can additionally specify configs
that apply to their dependents.
Variables
)"
DEPS_VARS
DEPENDENT_CONFIG_VARS
R"(
Example
group("all") {
deps = [
"//project:runner",
"//project:unit_tests",
]
}
)";
Value RunGroup(Scope* scope,
const FunctionCallNode* function,
const std::vector<Value>& args,
BlockNode* block,
Err* err) {
return ExecuteGenericTarget(functions::kGroup, scope, function, args,
block, err);
}
// loadable_module -------------------------------------------------------------
const char kLoadableModule[] = "loadable_module";
const char kLoadableModule_HelpShort[] =
"loadable_module: Declare a loadable module target.";
const char kLoadableModule_Help[] =
R"(loadable_module: Declare a loadable module target.
This target type allows you to create an object file that is (and can only
be) loaded and unloaded at runtime.
A loadable module will be specified on the linker line for targets listing
the loadable module in its "deps". If you don't want this (if you don't need
to dynamically load the library at runtime), then you should use a
"shared_library" target type instead.
Variables
)"
CONFIG_VALUES_VARS_HELP
DEPS_VARS
DEPENDENT_CONFIG_VARS
GENERAL_TARGET_VARS;
Value RunLoadableModule(Scope* scope,
const FunctionCallNode* function,
const std::vector<Value>& args,
BlockNode* block,
Err* err) {
return ExecuteGenericTarget(functions::kLoadableModule, scope, function, args,
block, err);
}
// shared_library --------------------------------------------------------------
const char kSharedLibrary[] = "shared_library";
const char kSharedLibrary_HelpShort[] =
"shared_library: Declare a shared library target.";
const char kSharedLibrary_Help[] =
R"(shared_library: Declare a shared library target.
A shared library will be specified on the linker line for targets listing the
shared library in its "deps". If you don't want this (say you dynamically
load the library at runtime), then you should depend on the shared library
via "data_deps" or, on Darwin platforms, use a "loadable_module" target type
instead.
Variables
)"
CONFIG_VALUES_VARS_HELP
DEPS_VARS
DEPENDENT_CONFIG_VARS
GENERAL_TARGET_VARS;
Value RunSharedLibrary(Scope* scope,
const FunctionCallNode* function,
const std::vector<Value>& args,
BlockNode* block,
Err* err) {
return ExecuteGenericTarget(functions::kSharedLibrary, scope, function, args,
block, err);
}
// source_set ------------------------------------------------------------------
extern const char kSourceSet[] = "source_set";
extern const char kSourceSet_HelpShort[] =
"source_set: Declare a source set target.";
extern const char kSourceSet_Help[] =
R"(source_set: Declare a source set target.
A source set is a collection of sources that get compiled, but are not linked
to produce any kind of library. Instead, the resulting object files are
implicitly added to the linker line of all targets that depend on the source
set.
In most cases, a source set will behave like a static library, except no
actual library file will be produced. This will make the build go a little
faster by skipping creation of a large static library, while maintaining the
organizational benefits of focused build targets.
The main difference between a source set and a static library is around
handling of exported symbols. Most linkers assume declaring a function
exported means exported from the static library. The linker can then do dead
code elimination to delete code not reachable from exported functions.
A source set will not do this code elimination since there is no link step.
This allows you to link many sources sets into a shared library and have the
"exported symbol" notation indicate "export from the final shared library and
not from the intermediate targets." There is no way to express this concept
when linking multiple static libraries into a shared library.
Variables
)"
CONFIG_VALUES_VARS_HELP
DEPS_VARS
DEPENDENT_CONFIG_VARS
GENERAL_TARGET_VARS;
Value RunSourceSet(Scope* scope,
const FunctionCallNode* function,
const std::vector<Value>& args,
BlockNode* block,
Err* err) {
return ExecuteGenericTarget(functions::kSourceSet, scope, function, args,
block, err);
}
// static_library --------------------------------------------------------------
const char kStaticLibrary[] = "static_library";
const char kStaticLibrary_HelpShort[] =
"static_library: Declare a static library target.";
const char kStaticLibrary_Help[] =
R"(static_library: Declare a static library target.
Make a ".a" / ".lib" file.
If you only need the static library for intermediate results in the build,
you should consider a source_set instead since it will skip the (potentially
slow) step of creating the intermediate library file.
Variables
complete_static_lib
)"
CONFIG_VALUES_VARS_HELP
DEPS_VARS
DEPENDENT_CONFIG_VARS
GENERAL_TARGET_VARS;
Value RunStaticLibrary(Scope* scope,
const FunctionCallNode* function,
const std::vector<Value>& args,
BlockNode* block,
Err* err) {
return ExecuteGenericTarget(functions::kStaticLibrary, scope, function, args,
block, err);
}
// target ---------------------------------------------------------------------
const char kTarget[] = "target";
const char kTarget_HelpShort[] =
"target: Declare an target with the given programmatic type.";
const char kTarget_Help[] =
R"(target: Declare an target with the given programmatic type.
target(target_type_string, target_name_string) { ... }
The target() function is a way to invoke a built-in target or template with a
type determined at runtime. This is useful for cases where the type of a
target might not be known statically.
Only templates and built-in target functions are supported for the
target_type_string parameter. Arbitrary functions, configs, and toolchains
are not supported.
The call:
target("source_set", "doom_melon") {
Is equivalent to:
source_set("doom_melon") {
Example
if (foo_build_as_shared) {
my_type = "shared_library"
} else {
my_type = "source_set"
}
target(my_type, "foo") {
...
}
)";
Value RunTarget(Scope* scope,
const FunctionCallNode* function,
const std::vector<Value>& args,
BlockNode* block,
Err* err) {
if (args.size() != 2) {
*err = Err(function, "Expected two arguments.", "Try \"gn help target\".");
return Value();
}
// The first argument must be a string (the target type). Don't type-check
// the second argument since the target-specific function will do that.
if (!args[0].VerifyTypeIs(Value::STRING, err))
return Value();
const std::string& target_type = args[0].string_value();
// The rest of the args are passed to the function.
std::vector<Value> sub_args(args.begin() + 1, args.end());
// Run a template if it is one.
const Template* templ = scope->GetTemplate(target_type);
if (templ)
return templ->Invoke(scope, function, target_type, sub_args, block, err);
// Otherwise, assume the target is a built-in target type.
return ExecuteGenericTarget(target_type.c_str(), scope, function, sub_args,
block, err);
}
} // namespace functions