Move Bazel docs into versioned directory.

* Move all Bazel docs (excluding main page, search page, and blog) into versions/master directory. * Replace all original pages with redirects. * Add Jekyll config with default_version setting to specify the default version to redirect docs to. * Add Jekyll config with version_prefix setting specific to pages under each version directory. * Update layouts to generate links to pages for the same version with the version_prefix. * Update Blaze release script to copy docs from third_party/bazel/site/versions/master Changes to follow this CL: * Separate navigation from layouts so that navigation can be versioned as well. * Add tool for cutting a release of Bazel docs and copies them into a new version directory. Bug: #579 -- MOS_MIGRATED_REVID=128510319
author: David Chen <dzc@google.com> 2016-07-26 20:54:03 +0000
committer: Damien Martin-Guillerez <dmarting@google.com> 2016-07-27 11:15:14 +0000
commit: 3e8bcae69a0718cf6972be086706b1841e0ed6b7 (patch)
tree: ce6b37e16350f164d9ef937a69ba51558c99e53d /site/versions/master/docs/skylark
parent: 3b47b1fdc6b24bb2c947d02316c1cf4e6a02cf09 (diff)
14 files changed, 2302 insertions, 0 deletions
diff --git a/site/versions/master/docs/skylark/aspects.md b/site/versions/master/docs/skylark/aspects.md
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+---
+layout: documentation
+title: Aspects
+---
+# Aspects
+
+**Status: Experimental**. We may make breaking changes to the API, but we will
+  help you update your code.
+
+Aspects allow augmenting build dependency graphs with additional information
+and actions. Some typical scenarios when aspects can be useful:
+
+*   IDEs that integrate Bazel can use aspects to collect information about the
+    project
+*   Code generation tools can leverage aspects to execute on their inputs in
+    "target-agnostic" manner. As an example, BUILD files can specify a hierarchy
+    of [protobuf](https://developers.google.com/protocol-buffers/) library
+    definitions, and language-specific rules can use aspects to attach
+    actions generating protobuf support code for a particular language
+
+## Aspect basics
+
+Bazel BUILD files provide a description of a project’s source code: what source
+files are part of the project, what artifacts (_targets_) should be built from
+those files, what the dependencies between those files are, etc. Bazel uses
+this information to perform a build, that is, it figures out the set of actions
+needed to produce the artifacts (such as running compiler or linker) and
+executes those actions. Bazel accomplishes this by constructing a _dependency
+graph_ between targets and visiting this graph to collect those actions.
+
+Consider the following BUILD file:
+
+```python
+java_library(name = 'W', ...)
+java_library(name = 'Y', deps = [':W'], ...)
+java_library(name = 'Z', deps = [':W'], ...)
+java_library(name = 'Q', ...)
+java_library(name = 'T', deps = [':Q'], ...)
+java_library(name = 'X', deps = [':Y',':Z'], runtime_deps = [':T'], ...)
+```
+
+This BUILD file defines a dependency graph shown in Fig 1.
+
+<img src="build-graph.png" alt="Build Graph" width="250px" />
+
+Bazel analyzes this dependency graph by calling implementations of
+[rules](rules.md) (in this case "java_library" starting from leaves of
+the dependency graph). These implementations generate actions that build
+artifacts (such as Jar files), and provide information (such as locations
+and names of those artifacts) to their dependencies in providers that
+they return. Their dependencies can access those providers through the
+[Target object](lib/Target.html). In other words, every target
+defined in the BUILD file generates a node in the dependency graph, and
+the appropriate rule implementation function is called for every node.
+
+Aspects are similar to rules in that they have an implementation function that
+generates actions and returns providers. However, their power comes from
+the way the dependency graph is built for them. An aspect has an implementation
+and a list of all attributes it propagates along. Consider an aspect A that
+propagates along attributes named "deps". This aspect can be applied to
+a target X, yielding an aspect application node A(X). During its application,
+aspect A is applied recursively to all targets that X refers to in its "deps"
+attribute (all attributes in A's propagation list). Thus a single act of
+applying aspect A to a target X yields a "shadow graph" of the original
+dependency graph of targets (see Fig.2).
+
+![Build Graph with Aspect](build-graph-aspects.png)
+
+The only edges that are shadowed are the edges along the attributes in
+the propagation set, thus the `runtime_deps` edge is not shadowed in this
+example. An aspect implementation function is then invoked on all nodes in
+the shadow graph similar to how rule implementations are invoked on the nodes
+of the original graph.
+
+## Defining aspects
+
+Aspect defintions are similiar to rule definitions. Let's take a look at
+the example:
+
+```python
+metal_proto_aspect = aspect(implementation = _metal_proto_aspect_impl,
+    attr_aspects = ["deps"],
+    attrs = {
+      "_protoc" : attr.label(
+          default=Label("//tools:metal_protoc"),
+          executable = True
+      )
+    }
+)
+```
+
+Just like a rule, an aspect has an implementation function. ``attr_aspects``
+specify the aspect's propagation set: a list of attributes of rules along which
+the aspect propagates.
+
+``attrs`` defines a set of attributes for aspects. Aspects are only allowed
+to have private attributes of types ``label`` or ``label_list``. Attributes
+can be used to specify dependencies on tools or libraries that are needed
+for actions generated by aspects.
+
+### Implementation functions
+
+Aspect implementation functions are similiar to the rule implementation
+functions. They return [providers](rules.md#providers), can generate
+[actions](rules.md#actions) and take two arguments:
+
+*    `target`: the target the aspect is being applied to.
+*    [`ctx`](lib/ctx.html): `ctx` object that can be used to access attributes and
+     generate outputs and actions.
+
+Example:
+
+```python
+def _metal_proto_aspect_impl(target, ctx):
+    # For every `src` in proto_library, generate an output file
+    proto_sources = [f for src in ctx.rule.attr.src
+                       for f in src.files]
+    outputs = [ctx.new_file(f.short_path + ".metal")
+               for f in proto_sources]
+    ctx.action(
+        executable = ctx.executable._protoc,
+        argument = ...
+        inputs = proto_sources
+        outputs = outputs)
+    transitive_outputs = set(outputs)
+    for dep in ctx.attr.deps:
+        transitive_outputs = transitive_outputs | dep.metal_proto.transitive_outputs
+    return struct(
+        metal_proto = struct(direct_outputs = outputs,
+                             transitive_outputs = transitive_outputs))
+```
+
+The implementation function can access the attributes of the target rule via
+[`ctx.rule.attr`](lib/ctx.html#rule). It can examine providers that are
+provided  by the target to which it is applied (via the `target` argument).
+
+Just like a rule implementation function, an aspect implementation function
+returns a struct of providers that are accessible to its dependencies.
+
+*   The set of providers for an aspect application A(X) is the union of providers
+    that come from the implementation of a rule for target X and from
+    the implementation of aspect A. It is an error if a target and an aspect that
+    is applied to it each provide a provider with the same name.
+*   For the aspect implementation, the values of attributes along which
+    the aspect is propagated (from the `attr_aspect` list) are replaced with
+    the results of an application of the aspect to them. For example, if target
+    X has Y and Z in its deps, `ctx.rule.attr.deps` for A(X) will be [A(Y), A(Z)].
+    In the `_metal_proto_aspect_impl` function above, ctx.rule.attr.deps will be
+    Target objects that are the results of applying the aspect to the 'deps'
+    of the original target to which the aspect has been applied.
+    That allows the aspect to examine `metal_proto` provider on them.
+
+
+## Applying aspects
+
+Aspect propagation can be initiated either from a rule or from the command line.
+
+### Applying aspects to rule attributes
+
+Rules can specify that they want to apply aspects to their depenedencies.
+The aspects to be applied to a particular attribute can be specified
+using the `aspects` parameter to `attr.label` or `attr.label_list` function:
+
+```python
+metal_proto_library = rule(implementation = _impl,
+   attrs = {
+     'proto_deps' : attr.label_list(aspects = [metal_proto_aspect]),
+   },
+)
+```
+
+If a rule specifies an aspect on its attributes, the values of that attribute
+will be replaced by the result of aspect application to them (similiar to
+what happens during aspect propagation). Thus implementaion of
+`metal_proto_library` will have access to `metal_proto` providers
+on the target objects representing its `proto_deps` attribute values.
+
+### Applying aspects from command line.
+
+Aspects can also be applied on the command line, using the `--aspects` flag:
+
+
+```
+bazel build //java/com/company/example:main \
+      --aspects path/to/extension.bzl%metal_proto_aspect
+```
+
+`--aspects` flag takes one argument, which is a specification of the aspect in
+the format `<extension file path>%<aspect top-level name>`.
+
+
diff --git a/site/versions/master/docs/skylark/build-graph-aspect.svg b/site/versions/master/docs/skylark/build-graph-aspect.svg
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+
diff --git a/site/versions/master/docs/skylark/build-style.md b/site/versions/master/docs/skylark/build-style.md
new file mode 100644
index 0000000000..3cee2fc26e
--- /dev/null
+++ b/site/versions/master/docs/skylark/build-style.md
@@ -0,0 +1,110 @@
+
+# BUILD file style guide
+
+In `BUILD` files, we take the same approach as in Go: We let the machine take care
+of most formatting issues.
+[Buildifier](https://github.com/bazelbuild/buildifier) is a tool that parses and
+emits the source code in a standard style. Every `BUILD` file is therefore
+formatted in the same automated way, which makes formatting a non-issue during
+code reviews. It also makes it easier for tools to understand, edit, and
+generate `BUILD` files.
+
+`BUILD` file formatting must match the output of `buildifier`.
+
+## Formatting example
+
+```python
+package(default_visibility = ["//visibility:public"])
+
+py_test(
+    name = "foo_test",
+    srcs = glob(["*.py"]),
+    data = [
+        "//data/production/foo:startfoo",
+        "//foo",
+        "//third_party/java/jdk:jdk-k8",
+    ],
+    flaky = 1,
+    deps = [
+        ":check_bar_lib",
+        ":foo_data_check",
+        ":pick_foo_port",
+        "//pyglib",
+        "//testing/pybase",
+    ],
+)
+```
+
+## File structure
+
+We recommend to use the following order (every element is optional):
+
+  * Package description (a comment)
+
+  * All `load()` statements
+
+  * The `package()` function.
+
+  * Calls to rules and macros
+
+Buildifier makes a distinction between a standalone comment and a comment
+attached to an element. If a comment is not attached to a specific element, use
+an empty line after it. The distinction is important when doing automated
+changes (e.g. to decide if we keep or remove a comment when we delete a rule).
+
+```python
+# Standalone comment (e.g. to make a section in a file)
+
+# Comment for the cc_library below
+cc_library(name = "cc")
+```
+
+## Conventions
+
+ * Use uppercase and underscores to declare constants (e.g. `GLOBAL_CONSTANT`),
+   use lowercase and underscores to declare variables (e.g. `my_variable`).
+
+ * Labels should be canonicalized. Use `//foo/bar` instead of `//foo/bar:bar`.
+   Use `:bar` if it is defined in the same package. *Rationale*: It makes clear
+   if a label is local to a package. Sorting a list of labels is messy if all
+   labels do not use the same conventions.
+
+ * Labels should never be split, even if they are longer than 79 characters.
+   Labels should be string literals whenever possible. Rationale: It makes
+   find and replace easy. It also improves readability.
+
+ * The value of the name attribute should be a literal constant string (except
+   in macros). *Rationale*: External tools use the name attribute to refer a
+   rule. They need to find rules without having to interpret code.
+
+## Differences with Python style guide
+
+Although compatibility with
+[Python style guide](https://www.python.org/dev/peps/pep-0008/) is a goal, there
+are a few differences:
+
+ * No strict line length limit. Long comments and long strings are often split
+   to 79 columns, but it is not required. It should not be enforced in code
+   reviews or presubmit scripts. *Rationale*: Labels can be long and exceed this
+   limit. It is common for `BUILD` files to be generated or edited by tools, which
+   does not go well with a line length limit.
+
+ * Implicit string concatenation is not supported. Use the `+` operator.
+   *Rationale*: `BUILD` files contain many string lists. It is easy to forget a
+   comma, which leads to a complete different result. This has created many bugs
+   in the past. See also this discussion.
+
+ * Use spaces around the `=` sign for keywords arguments in rules. *Rationale*:
+   Named arguments are much more frequent than in Python and are always on a
+   separate line. Spaces improve readability. This convention has been around
+   for a long time, and we don't think it is worth modifying all existing
+   `BUILD` files.
+
+ * By default, use double quotation marks for strings. *Rationale*: This is not
+   specified in the Python style guide, but it recommends consistency. So we
+   decided to use only double-quoted strings. Many languages use double-quotes
+   for string literals.
+
+ * Use a single blank line between two top-level definitions. *Rationale*: The
+   structure of a `BUILD` file is not like a typical Python file. It has only
+   top-level statements. Using a single-blank line makes `BUILD` files shorter.
diff --git a/site/versions/master/docs/skylark/bzl-style.md b/site/versions/master/docs/skylark/bzl-style.md
new file mode 100644
index 0000000000..a88dfcad76
--- /dev/null
+++ b/site/versions/master/docs/skylark/bzl-style.md
@@ -0,0 +1,48 @@
+
+# .bzl file style guide
+
+## Style
+
+* When in doubt, follow the
+  [Python style guide](https://www.python.org/dev/peps/pep-0008/).
+
+* Code should be documented using
+  [docstrings](https://www.python.org/dev/peps/pep-0257/). Use a docstring at
+  the top of the file, and a docstring for each public function.
+
+* Variables and function names use lowercase with words separated by underscores
+  (`[a-z][a-z0-9_]*`), e.g. `cc_library`. Top-level private values start with
+  one underscore. Bazel enforces that private values cannot be used from other
+  files.
+
+* As in BUILD files, there is no strict line length limit as labels can be long.
+  When possible, try to use at most 79 characters per line.
+
+* In keyword arguments, spaces around the equal sign are optional. In general,
+  we follow the BUILD file convention when calling macros and native rules, and
+  the Python convention for other functions, e.g.
+
+```python
+def fct(name, srcs):
+  filtered_srcs = my_filter(source=srcs)
+  native.cc_library(
+    name = name,
+    srcs = filtered_srcs,
+  )
+```
+
+## Macros
+
+A [macro](macros.md) is a function which instantiates one or many rules during
+the loading phase.
+
+* Macros must accept a name attribute and each invocation should specify a name.
+  The generated name attribute of rules should include the name attribute as a
+  prefix. For example, `my_macro(name = "foo")` can generate a rule `foo` and a
+  rule `foo_gen`. *Rationale*: Users should be able to find easily which macro
+  generated a rule. Also, automated refactoring tools need a way to identify a
+  specific rule to edit.
+
+* When calling a macro, use only keyword arguments. *Rationale*: This is for
+  consistency with rules, it greatly improves readability.
+
diff --git a/site/versions/master/docs/skylark/concepts.md b/site/versions/master/docs/skylark/concepts.md
new file mode 100644
index 0000000000..355a15f8c2
--- /dev/null
+++ b/site/versions/master/docs/skylark/concepts.md
@@ -0,0 +1,188 @@
+---
+layout: documentation
+title: Extensions - Overview
+---
+# Overview
+
+## Loading an extension
+
+Extensions are files with the `.bzl` extension. Use the `load` statement to
+import a symbol from an extension.
+
+```python
+load("//build_tools/rules:maprule.bzl", "maprule")
+```
+
+This code will load the file `build_tools/rules/maprule.bzl` and add the
+`maprule` symbol to the environment. This can be used to load new rules,
+functions or constants (e.g. a string, a list, etc.). Multiple symbols can be
+imported by using additional arguments to the call to `load`. Arguments must
+be string literals (no variable) and `load` statements must appear at
+top-level, i.e. they cannot be in a function body.
+
+`load` also supports aliases, i.e. you can assign different names to the
+imported symbols.
+
+```python
+load("//build_tools/rules:maprule.bzl", maprule_alias = "maprule")
+```
+
+You define multiple aliases within one `load` statement. Moreover, the argument
+list can contain both aliases and regular symbol names. The following example is
+perfectly legal (please note when to use quotation marks).
+
+```python
+load("/path/to:my_rules.bzl", "some_rule", nice_alias = "some_other_rule")
+```
+
+Symbols starting with `_` are private and cannot be loaded from other files.
+Visibility doesn't affect loading: you don't need to use `exports_files` to make
+a `.bzl` file visible.
+
+## Macros and rules
+
+A [macro](macros.md) is a function that instantiates rules. The
+function is evaluated as soon as the BUILD file is read. Bazel has little
+information about macros: if your macro generates a `genrule`, Bazel will behave
+as if you wrote the `genrule`. As a result, `bazel query` will only list the
+generated genrule.
+
+A [rule](rules.md) is more powerful than a macro, as it can access
+Bazel internals and have full control over what is going on. It may for example
+pass information to other rules.
+
+If a macro becomes complex, it is often a good idea to make it a rule.
+
+## Evaluation model
+
+A build consists of three phases.
+
+* **Loading phase**. First, we load and evaluate all extensions and all BUILD
+  files that are needed for the build. The execution of the BUILD files simply
+  instantiates rules. This is where macros are evaluated.
+
+* **Analysis phase**. The code of the rules is executed (their `implementation`
+  function), and actions are instantiated. An action describes how to generate
+  a set of outputs from a set of inputs, e.g. "run gcc on hello.c and get
+  hello.o". It is important to note that we have to list explicitly which
+  files will be generated before executing the actual commands.
+
+* **Execution phase**. Actions are executed, when at least one of their outputs is
+  required. If a file is missing or if a command fails to generate one output,
+  the build fails. Tests are run during this phase, as they are actions.
+
+Bazel uses parallelism to read, parse and evaluate the `.bzl` files and `BUILD`
+files. A file is read at most once per build and the result of the evaluation is
+cached and reused. A file is evaluated only once all its dependencies (`load()`
+statements) have been resolved. By design, loading a `.bzl` file has no visible
+side-effect, it only defines values and functions.
+
+## Syntax
+
+The extension language (sometimes referred as "Skylark") is a superset of the
+[Core Build Language](/docs/build-ref.html#core_build_language)
+and its syntax is a subset of Python.
+It is designed to be simple, thread-safe and integrated with the
+BUILD language. It is not a general-purpose language and most Python
+features are not included.
+
+The following constructs have been added to the Core Build Language: `if`
+statements, `for` loops, and function definitions. They behave like in Python.
+Here is an example to show the syntax:
+
+```python
+def fizz_buzz(n):
+  """Print Fizz Buzz numbers from 1 to n."""
+  for i in range(1, n + 1):
+    s = ""
+    if i % 3 == 0:
+      s += "Fizz"
+    if i % 5 == 0:
+      s += "Buzz"
+    print(s if s else i)
+
+fizz_buzz(20)
+```
+
+## Mutability
+
+Because evaluation of BUILD and .bzl files is performed in parallel, there are
+some restrictions in order to guarantee thread-safety and determinism. Two
+mutable data structures are available: [lists](lib/list.html) and
+[dicts](lib/dict.html). Unlike in Python, [sets](lib/set.html) are not mutable.
+
+In a build, there are many "evaluation contexts": each `.bzl` file and each
+`BUILD` file is loaded in a different context. Each rule is also analyzed in a
+separate context. We allow side-effects (e.g. appending a value to a list or
+deleting an entry in a dictionary) only on objects created during the current
+evaluation context.
+
+For example, here is the content of the file `foo.bzl`:
+
+```python
+var = []
+
+def fct():
+  var.append(5)
+
+fct()
+```
+
+The variable `var` is created when `foo.bzl` is loaded. `fct()` is called during
+the same context, so it is safe. At the end of the evaluation, the definition
+`var = [5]` is exported. Any other file can load it, and it is possible that
+multiple files will load it at the same time. For this reason, the following
+code is not legal:
+
+```python
+load(":foo.bzl", "var", "fct")
+
+var.append(6)  # not allowed
+
+fct()  # not allowed
+```
+
+Since the call to `fct()` attempts to mutate the shared variable `var`, it will
+fail. `fct()` can only be called during the evaluation of `foo.bzl`. It cannot
+be called from another file. It is also forbidden to call it during the analysis
+phase (i.e. when a custom rule is analyzed).
+
+## Differences with Python
+
+In addition to the mutability restrictions, there are also differences with
+Python:
+
+* All global values are constant (they cannot be reassigned).
+
+* `x += y` is syntactic sugar for `x = x + y`. Even if `x` and `y` are lists,
+  dicts or sets, the original value is not mutated, so references to `x`
+  that were assigned before the operation will see the old value. This behavior
+  is temporary, and will follow Python semantics in the future.
+
+* The `+` operator is defined for dictionaries, returning an immutable
+  concatenated dictionary created from the entries of the original
+  dictionaries. In case of duplicate keys, we use values from the second
+  operand. If you need compatibility with Python, we suggest this syntax:
+  `dict(a.items() + b.items())`.
+
+* Dictionaries have deterministic order when iterating (sorted by key).
+
+* Sets use a custom order when iterating (see [documentation](lib/globals.html#set)).
+
+* Recursion is not allowed.
+
+* Loops iterate on a shallow copy of the elements. If the list is modified
+  during the iteration, you will only see the old values.
+
+The following Python features are not supported:
+
+* `class` (see [`struct`](lib/globals.html#struct) function)
+* `import` (see [`load`](#loading-a-skylark-extension) statement)
+* `while`, `yield`
+* `lambda` and nested functions
+* `is` (use `==` instead)
+* `try`, `raise`, `except`, `finally` (see [`fail`](lib/globals.html#fail)
+  for fatal errors).
+* most builtin functions, most methods
+
+
diff --git a/site/versions/master/docs/skylark/cookbook.md b/site/versions/master/docs/skylark/cookbook.md
new file mode 100644
index 0000000000..e243396b53
--- /dev/null
+++ b/site/versions/master/docs/skylark/cookbook.md
@@ -0,0 +1,919 @@
+---
+layout: documentation
+title: Extensions examples
+---
+# Extensions examples
+
+## <a name="macro"></a>Macro creating a rule
+
+An example of a macro creating a rule.
+
+`empty.bzl`:
+
+```python
+def _impl(ctx):
+  print("This rule does nothing")
+
+empty = rule(implementation=_impl)
+```
+
+`extension.bzl`:
+
+```python
+# Loading the rule. The rule doesn't have to be in a separate file.
+load("//pkg:empty.bzl", "empty")
+
+def macro(name, visibility=None):
+  # Creating the rule.
+  empty(name = name, visibility = visibility)
+```
+
+`BUILD`:
+
+```python
+load("//pkg:extension.bzl", "macro")
+
+macro(name = "myrule")
+```
+
+## <a name="macro_native"></a>Macro creating a native rule
+
+An example of a macro creating a native rule. Native rules are special rules
+that are automatically available (without <code>load</code>). They are
+accessed using the <a href="lib/native.html">native</a> module.
+
+`extension.bzl`:
+
+```python
+def macro(name, visibility=None):
+  # Creating a native genrule.
+  native.genrule(
+      name = name,
+      outs = [name + '.txt'],
+      cmd = 'echo hello > $@',
+      visibility = visibility,
+  )
+```
+
+`BUILD`:
+
+```python
+load("//pkg:extension.bzl", "macro")
+
+macro(name = "myrule")
+```
+
+## <a name="macro_compound"></a>Macro multiple rules
+
+There's currently no easy way to create a rule that directly uses the
+action of a native rule. You can work around this using macros:
+
+```python
+def cc_and_something_else_binary(name, srcs, deps, csrcs, cdeps)
+   cc_binary_name = "%s.cc_binary" % name
+
+   native.cc_binary(
+      name = cc_binary_name,
+      srcs = csrcs,
+      deps = cdeps
+  )
+
+  _cc_and_something_else_binary(
+    name = name,
+    srcs = srcs,
+    deps = deps,
+    # A label attribute so that this depends on the internal rule
+    cc_binary = cc_binary,
+    # Redundant labels attributes so that the rule with this target name knows
+    # about everything it would know about if cc_and_something_else_binary
+    # were an actual rule instead of a macro.
+    csrcs = csrcs,
+    cdeps = cdeps)
+
+def _impl(ctx):
+  return struct([...],
+                # When instrumenting this rule, again hide implementation from
+                # users.
+                instrumented_files(
+                  source_attributes = ["srcs", "csrcs"],
+                  dependency_attributes = ["deps", "cdeps"]))
+
+_cc_and_something_else_binary = rule(implementation=_impl)
+```
+
+
+## <a name="conditional-instantiation"></a>Conditional instantiation
+
+Macros can look at previously instantiated rules. This is done with
+`native.existing_rule`, which returns information on a single rule defined in the same
+`BUILD` file, eg.,
+
+```python
+native.existing_rule("descriptor_proto")
+```
+
+This is useful to avoid instantiating the same rule twice, which is an
+error. For example, the following macro will simulate a test suite,
+instantiating tests for diverse flavors of the same test.
+
+`extension.bzl`:
+
+```python
+def system_test(name, test_file, flavor):
+  n = "system_test_%s_%s_test" % (test_file, flavor)
+  if native.existing_rule(n) == None:
+    native.py_test(
+      name = n,
+      srcs = [ "test_driver.py", test_file ],
+      args = [ "--flavor=" + flavor])
+  return n
+
+def system_test_suite(name, flavors=["default"], test_files):
+  ts = []
+  for flavor in flavors:
+    for test in test_files:
+      ts.append(system_test(name, test, flavor))
+  native.test_suite(name = name, tests = ts)
+```
+
+In the following BUILD file, note how `(basic_test.py, fast)` is emitted for
+both the `smoke` test suite and the `thorough` test suite.
+
+```python
+load("//pkg:extension.bzl", "system_test_suite")
+
+# Run all files through the 'fast' flavor.
+system_test_suite("smoke", flavors=["fast"], glob(["*_test.py"]))
+
+# Run the basic test through all flavors.
+system_test_suite("thorough", flavors=["fast", "debug", "opt"], ["basic_test.py"])
+```
+
+
+## <a name="aggregation"></a>Aggregating over the BUILD file
+
+Macros can collect information from the BUILD file as processed so far.  We call
+this aggregation. The typical example is collecting data from all rules of a
+certain kind.  This is done by calling
+<a href="lib/native.html#existing_rules">native.existing\_rules</a>, which
+returns a dictionary representing all rules defined so far in the current BUILD
+file. The dictionary has entries of the form `name` => `rule`, with the values
+using the same format as `native.existing_rule`.
+
+```python
+def archive_cc_src_files(tag):
+  """Create an archive of all C++ sources that have the given tag."""
+  all_src = []
+  for r in native.existing_rules().values():
+    if tag in r["tags"] and r["kind"] == "cc_library":
+      all_src.append(r["srcs"])
+  native.genrule(cmd = "zip $@ $^", srcs = all_src, outs = ["out.zip"])
+```
+
+Since `native.existing_rules` constructs a potentially large dictionary, you should avoid
+calling it repeatedly within BUILD file.
+
+## <a name="empty"></a>Empty rule
+
+Minimalist example of a rule that does nothing. If you build it, the target will
+succeed (with no generated file).
+
+`empty.bzl`:
+
+```python
+def _impl(ctx):
+  # You may use print for debugging.
+  print("This rule does nothing")
+
+empty = rule(implementation=_impl)
+```
+
+`BUILD`:
+
+```python
+load("//pkg:empty.bzl", "empty")
+
+empty(name = "nothing")
+```
+
+## <a name="attr"></a>Rule with attributes
+
+Example of a rule that shows how to declare attributes and access them.
+
+`printer.bzl`:
+
+```python
+def _impl(ctx):
+  # You may use print for debugging.
+  print("Rule name = %s, package = %s" % (ctx.label.name, ctx.label.package))
+
+  # This prints the labels of the deps attribute.
+  print("There are %d deps" % len(ctx.attr.deps))
+  for i in ctx.attr.deps:
+    print("- %s" % i.label)
+    # A label can represent any number of files (possibly 0).
+    print("  files = %s" % [f.path for f in i.files])
+
+printer = rule(
+    implementation=_impl,
+    attrs={
+      # Do not declare "name": It is added automatically.
+      "number": attr.int(default = 1),
+      "deps": attr.label_list(allow_files=True),
+    })
+```
+
+`BUILD`:
+
+```python
+load("//pkg:printer.bzl", "printer")
+
+printer(
+    name = "nothing",
+    deps = [
+        "BUILD",
+        ":other",
+    ],
+)
+
+printer(name = "other")
+```
+
+If you execute this file, some information is printed as a warning by the
+rule. No file is generated.
+
+## <a name="shell"></a>Simple shell command
+
+Example of a rule that runs a shell command on an input file specified by
+the user. The output has the same name as the rule, with a `.size` suffix.
+
+While convenient, Shell commands should be used carefully. Generating the
+command-line can lead to escaping and injection issues. It can also create
+portability problems. It is often better to declare a binary target in a
+BUILD file and execute it. See the example [executing a binary](#execute-bin).
+
+`size.bzl`:
+
+```python
+def _impl(ctx):
+  output = ctx.outputs.out
+  input = ctx.file.file
+  # The command may only access files declared in inputs.
+  ctx.action(
+      inputs=[input],
+      outputs=[output],
+      progress_message="Getting size of %s" % input.short_path,
+      command="stat -L -c%%s %s > %s" % (input.path, output.path))
+
+size = rule(
+    implementation=_impl,
+    attrs={"file": attr.label(mandatory=True, allow_files=True, single_file=True)},
+    outputs={"out": "%{name}.size"},
+)
+```
+
+`foo.txt`:
+
+```
+Hello
+```
+
+`BUILD`:
+
+```python
+load("//pkg:size.bzl", "size")
+
+size(
+    name = "foo_size",
+    file = "foo.txt",
+)
+```
+
+## <a name="file"></a>Write string to a file
+
+Example of a rule that writes a string to a file.
+
+`file.bzl`:
+
+```python
+def _impl(ctx):
+  output = ctx.outputs.out
+  ctx.file_action(output=output, content=ctx.attr.content)
+
+file = rule(
+    implementation=_impl,
+    attrs={"content": attr.string()},
+    outputs={"out": "%{name}.txt"},
+)
+```
+
+`BUILD`:
+
+```python
+load("//pkg:file.bzl", "file")
+
+file(
+    name = "hello",
+    content = "Hello world",
+)
+```
+
+
+## <a name="execute-bin"></a>Execute a binary
+
+This rule executes an existing binary. In this particular example, the
+binary is a tool that merges files. During the analysis phase, we cannot
+access any arbitrary label: the dependency must have been previously
+declared. To do so, the rule needs a label attribute. In this example, we
+will give the label a default value and make it private (so that it is not
+visible to end users). Keeping the label private can simplify maintenance,
+since you can easily change the arguments and flags you pass to the tool.
+
+`execute.bzl`:
+
+```python
+def _impl(ctx):
+  # The list of arguments we pass to the script.
+  args = [ctx.outputs.out.path] + [f.path for f in ctx.files.srcs]
+  # Action to call the script.
+  ctx.action(
+      inputs=ctx.files.srcs,
+      outputs=[ctx.outputs.out],
+      arguments=args,
+      progress_message="Merging into %s" % ctx.outputs.out.short_path,
+      executable=ctx.executable._merge_tool)
+
+concat = rule(
+  implementation=_impl,
+  attrs={
+      "srcs": attr.label_list(allow_files=True),
+      "out": attr.output(mandatory=True),
+      "_merge_tool": attr.label(executable=True, allow_files=True,
+                                default=Label("//pkg:merge"))
+  }
+)
+```
+
+Any executable target can be used. In this example, we will use a
+`sh_binary` rule that concatenates all the inputs.
+
+`BUILD`:
+
+```
+load("execute", "concat")
+
+concat(
+    name = "sh",
+    srcs = [
+        "header.html",
+        "body.html",
+        "footer.html",
+    ],
+    out = "page.html",
+)
+
+# This target is used by the shell rule.
+sh_binary(
+    name = "merge",
+    srcs = ["merge.sh"],
+)
+```
+
+`merge.sh`:
+
+```python
+#!/bin/bash
+
+out=$1
+shift
+cat $* > $out
+```
+
+`header.html`:
+
+```
+<html><body>
+```
+
+`body.html`:
+
+```
+content
+```
+
+`footer.html`:
+
+```
+</body></html>
+```
+
+## <a name="execute"></a>Execute an input binary
+
+This rule has a mandatory `binary` attribute. It is a label that can refer
+only to executable rules or files.
+
+`execute.bzl`:
+
+```python
+def _impl(ctx):
+  # ctx.new_file is used for temporary files.
+  # If it should be visible for user, declare it in rule.outputs instead.
+  f = ctx.new_file(ctx.configuration.bin_dir, "hello")
+  # As with outputs, each time you declare a file,
+  # you need an action to generate it.
+  ctx.file_action(output=f, content=ctx.attr.input_content)
+
+  ctx.action(
+      inputs=[f],
+      outputs=[ctx.outputs.out],
+      executable=ctx.executable.binary,
+      progress_message="Executing %s" % ctx.executable.binary.short_path,
+      arguments=[
+          f.path,
+          ctx.outputs.out.path,  # Access the output file using
+                                 # ctx.outputs.<attribute name>
+      ]
+  )
+
+execute = rule(
+  implementation=_impl,
+  attrs={
+      "binary": attr.label(cfg="host", mandatory=True, allow_files=True,
+                           executable=True),
+      "input_content": attr.string(),
+      "out": attr.output(mandatory=True),
+      },
+)
+```
+
+`a.sh`:
+
+```bash
+#!/bin/bash
+
+tr 'a-z' 'A-Z' < $1 > $2
+```
+
+`BUILD`:
+
+```python
+load("//pkg:execute.bzl", "execute")
+
+execute(
+    name = "e",
+    input_content = "some text",
+    binary = "a.sh",
+    out = "foo",
+)
+```
+
+## <a name="runfiles"></a>Define simple runfiles
+
+`execute.bzl`:
+
+```python
+def _impl(ctx):
+  executable = ctx.outputs.executable
+  # Create the output executable file with command as its content.
+  ctx.file_action(
+      output=executable,
+      content=ctx.attr.command,
+      executable=True)
+
+  return struct(
+      # Create runfiles from the files specified in the data attribute.
+      # The shell executable - the output of this rule - can use them at runtime.
+      # It is also possible to define data_runfiles and default_runfiles.
+      # However if runfiles is specified it's not possible to define the above
+      # ones since runfiles sets them both.
+      # Remember, that the struct returned by the implementation function needs
+      # to have a field named "runfiles" in order to create the actual runfiles
+      # symlink tree.
+      runfiles=ctx.runfiles(files=ctx.files.data)
+  )
+
+execute = rule(
+  implementation=_impl,
+  executable=True,
+  attrs={
+      "command": attr.string(),
+      "data": attr.label_list(cfg="data", allow_files=True),
+      },
+)
+```
+
+`data.txt`:
+
+```
+Hello World!
+```
+
+`BUILD`:
+
+```python
+load("//pkg:execute.bzl", "execute")
+
+execute(
+    name = "e",
+    # The path to data.txt has to include the package directories as well. I.e.
+    # if the BUILD file is under foo/BUILD and the data file is foo/data.txt
+    # then it needs to be referred as foo/data.txt in the command.
+    command = "cat data.txt",
+    data = [':data.txt']
+)
+```
+
+## <a name="late-bound"></a>Computed dependencies
+
+Bazel needs to know about all dependencies before doing the analysis phase and
+calling the implementation function. Dependencies can be computed based on the
+rule attributes: to do so, use a function as the default
+value of an attribute (the attribute must be private and have type `label` or
+`list of labels`). The parameters of this function must correspond to the
+attributes that are accessed in the function body.
+
+Note: For legacy reasons, the function takes the configuration as an additional
+parameter. Please do not rely on the configuration since it will be removed in
+the future.
+
+The example below computes the md5 sum of a file. The file can be preprocessed
+using a filter. The exact dependencies depend on the filter chosen by the user.
+
+`hash.bzl`:
+
+```python
+_filters = {
+  "comments": Label("//pkg:comments"),
+  "spaces": Label("//pkg:spaces"),
+  "none": None,
+}
+
+def _get_filter(filter, cfg=None): # requires attribute "filter"
+  # Return the value for the attribute "_filter_bin"
+  # It can be a label or None.
+  return _filters[filter]
+
+def _impl(ctx):
+  src = ctx.file.src
+
+  if not ctx.attr._filter_bin:
+    # Skip the processing
+    processed = src
+  else:
+    processed = ctx.new_file(ctx.label.name + "_processed")
+    # Run the selected binary
+    ctx.action(
+        outputs = [processed],
+        inputs = [ctx.file.src],
+        progress_message="Apply filter '%s'" % ctx.attr.filter,
+        arguments = [ctx.file.src.path, processed.path],
+        executable = ctx.executable._filter_bin)
+
+  # Compute the hash
+  out = ctx.outputs.text
+  ctx.action(
+      outputs = [out],
+      inputs = [processed],
+      command = "md5sum < %s > %s" % (processed.path, out.path))
+
+hash = rule(
+  implementation=_impl,
+  attrs={
+      "filter": attr.string(values=_filters.keys(), default="none"),
+      "src": attr.label(mandatory=True, single_file=True, allow_files=True),
+      "_filter_bin": attr.label(default=_get_filter, executable=True),
+  },
+  outputs = {"text": "%{name}.txt"})
+```
+
+`BUILD`:
+
+```python
+load("//pkg:hash.bzl", "hash")
+
+hash(
+    name = "hash",
+    src = "hello.txt",
+    filter = "spaces",
+)
+
+sh_binary(
+    name = "comments",
+    srcs = ["comments.sh"],
+)
+
+sh_binary(
+    name = "spaces",
+    srcs = ["spaces.sh"],
+)
+```
+
+`hello.txt`:
+
+```
+Hello World!
+```
+
+`comments.sh`:
+
+```
+#!/bin/bash
+grep -v '^ *#' $1 > $2  # Remove lines with only a Python-style comment
+```
+
+`spaces.sh`:
+
+```
+#!/bin/bash
+tr -d ' ' < $1 > $2  # Remove spaces
+```
+
+## <a name="mandatory-providers"></a>Mandatory providers
+
+In this example, rules have a `number` attribute. Each rule adds its
+number with the numbers of its transitive dependencies, and write the
+result in a file. This shows how to transfer information from a dependency
+to its dependents.
+
+`sum.bzl`:
+
+```python
+def _impl(ctx):
+  result = ctx.attr.number
+  for i in ctx.attr.deps:
+    result += i.number
+  ctx.file_action(output=ctx.outputs.out, content=str(result))
+
+  # Fields in the struct will be visible by other rules.
+  return struct(number=result)
+
+sum = rule(
+  implementation=_impl,
+  attrs={
+      "number": attr.int(default=1),
+      # All deps must provide all listed providers.
+      "deps": attr.label_list(providers=["number"]),
+  },
+  outputs = {"out": "%{name}.sum"}
+)
+```
+
+`BUILD`:
+
+```python
+load("//pkg:sum.bzl", "sum")
+
+sum(
+  name = "n",
+  deps = ["n2", "n5"],
+)
+
+sum(
+  name = "n2",
+  number = 2,
+)
+
+sum(
+  name = "n5",
+  number = 5,
+)
+```
+
+## <a name="optional-providers"></a>Optional providers
+
+This is a similar example, but dependencies may not provide a number.
+
+`sum.bzl`:
+
+```python
+def _impl(ctx):
+  result = ctx.attr.number
+  for i in ctx.attr.deps:
+    if hasattr(i, "number"):
+      result += i.number
+  ctx.file_action(output=ctx.outputs.out, content=str(result))
+
+  # Fields in the struct will be visible by other rules.
+  return struct(number=result)
+
+sum = rule(
+  implementation=_impl,
+  attrs={
+      "number": attr.int(default=1),
+      "deps": attr.label_list(),
+  },
+  outputs = {"out": "%{name}.sum"}
+)
+```
+
+`BUILD`:
+
+```python
+load("//pkg:sum.bzl", "sum")
+
+sum(
+  name = "n",
+  deps = ["n2", "n5"],
+)
+
+sum(
+  name = "n2",
+  number = 2,
+)
+
+sum(
+  name = "n5",
+  number = 5,
+)
+```
+
+## <a name="outputs-executable"></a>Default executable output
+
+This example shows how to create a default executable output.
+
+`extension.bzl`:
+
+```python
+def _impl(ctx):
+  ctx.file_action(
+      # Access the executable output file using ctx.outputs.executable.
+      output=ctx.outputs.executable,
+      content="#!/bin/bash\necho Hello!",
+      executable=True
+  )
+  # The executable output is added automatically to this target.
+
+executable_rule = rule(
+    implementation=_impl,
+    executable=True
+)
+```
+
+`BUILD`:
+
+```python
+load("//pkg:extension.bzl", "executable_rule")
+
+executable_rule(name = "my_rule")
+```
+
+## <a name="outputs-default"></a>Default outputs
+
+This example shows how to create default outputs for a rule.
+
+`extension.bzl`:
+
+```python
+def _impl(ctx):
+  ctx.file_action(
+      # Access the default outputs using ctx.outputs.<output name>.
+      output=ctx.outputs.my_output,
+      content="Hello World!"
+  )
+  # The default outputs are added automatically to this target.
+
+rule_with_outputs = rule(
+    implementation=_impl,
+    outputs = {
+        # %{name} is substituted with the rule's name
+        "my_output": "%{name}.txt"
+    }
+)
+```
+
+`BUILD`:
+
+```python
+load("//pkg:extension.bzl", "rule_with_outputs")
+
+rule_with_outputs(name = "my_rule")
+```
+
+## <a name="outputs-custom"></a>Custom outputs
+
+This example shows how to create custom (user defined) outputs for a rule.
+This rule takes a list of output file name templates from the user and
+creates each of them containing a "Hello World!" message.
+
+`extension.bzl`:
+
+```python
+def _impl(ctx):
+  # Access the custom outputs using ctx.outputs.<attribute name>.
+  for output in ctx.outputs.outs:
+    ctx.file_action(
+        output=output,
+        content="Hello World!"
+    )
+  # The custom outputs are added automatically to this target.
+
+rule_with_outputs = rule(
+    implementation=_impl,
+    attrs={
+        "outs": attr.output_list()
+    }
+)
+```
+
+`BUILD`:
+
+```python
+load("//pkg:extension.bzl", "rule_with_outputs")
+
+rule_with_outputs(
+    name = "my_rule",
+    outs = ["my_output.txt"]
+)
+```
+
+## <a name="master-rule"></a>Master rules
+
+This example shows how to create master rules to bind other rules together. The
+code below uses genrules for simplicity, but this technique is more useful with
+other rules. For example, if you need to compile C++ files, you can reuse
+`cc_library`.
+
+`extension.bzl`:
+
+```python
+def _impl(ctx):
+  # Aggregate the output files from the depending rules
+  files = set()
+  files += ctx.attr.dep_rule_1.files
+  files += ctx.attr.dep_rule_2.files
+  return struct(files=files)
+
+# This rule binds the depending rules together
+master_rule = rule(
+    implementation=_impl,
+    attrs={
+        "dep_rule_1": attr.label(),
+        "dep_rule_2": attr.label()
+    }
+)
+
+def macro(name, cmd, input):
+  # Create the depending rules
+  name_1 = name + "_dep_1"
+  name_2 = name + "_dep_2"
+  native.genrule(
+      name = name_1,
+      cmd = cmd,
+      outs = [name_1 + ".txt"]
+  )
+  native.genrule(
+      name = name_2,
+      cmd = "echo " + input + " >$@",
+      outs = [name_2 + ".txt"]
+  )
+  # Create the master rule
+  master_rule(
+      name = name,
+      dep_rule_1 = ":" + name_1,
+      dep_rule_2 = ":" + name_2
+  )
+```
+
+`BUILD`:
+
+```python
+load("//pkg:extension.bzl", "macro")
+
+# This creates the target :my_rule
+macro(
+    name = "my_rule",
+    cmd = "echo something > $@",
+    input = "Hello World"
+)
+```
+
+## <a name="debugging-tips"></a>Debugging tips
+
+Here are some examples on how to debug macros and rules using
+<a href="lib/globals.html#print">print</a>.
+
+`debug.bzl`:
+
+```python
+print("print something when the module is loaded")
+
+def _impl(ctx):
+  print("print something when the rule implementation is executed")
+  print(type("abc"))     # prints string, the type of "abc"
+  print(dir(ctx))        # prints all the fields and methods of ctx
+  print(dir(ctx.attr))   # prints all the attributes of the rule
+  # prints the objects each separated with new line
+  print("object1", "object2", sep="\n")
+
+debug = rule(implementation=_impl)
+```
+
+`BUILD`:
+
+```python
+load("//pkg:debug.bzl", "debug")
+
+debug(
+  name = "printing_rule"
+)
+```
diff --git a/site/versions/master/docs/skylark/deploying.md b/site/versions/master/docs/skylark/deploying.md
new file mode 100644
index 0000000000..ad0831ccff
--- /dev/null
+++ b/site/versions/master/docs/skylark/deploying.md
@@ -0,0 +1,144 @@
+---
+layout: documentation
+title: Deploying new Skylark rules
+---
+# Deploying new Skylark rules
+
+This documentation is for Skylark rule writers who are planning to make their
+rules available to others.
+
+## Where to put new rules
+
+In general, new rules should go into their own GitHub repository under your
+organization. Contact the [bazel-dev mailing
+list](https://groups.google.com/forum/#!forum/bazel-dev) if you feel like your
+rules belong in the bazelbuild organization.
+
+You can see lots of examples of what your repository should look like on GitHub:
+see all of the repositories named `rules_whatever`.  In particular,
+[rules_scala](https://github.com/bazelbuild/rules_scala) is a nice example of
+how to set up your repo.
+
+Rules can be grouped either by language (e.g., Scala) or some notion of platform
+(e.g., Android).
+
+## What a rule repository should contain
+
+Every rule repository should have a certain layout so that users can quickly
+understand new rules.
+
+For example, suppose we are writing new Skylark rules for the (make-believe)
+chaiscript language. We would have the following structure:
+
+```
+.travis.yml
+README.md
+WORKSPACE
+chaiscript/
+  BUILD
+  chaiscript.bzl
+tests/
+  BUILD
+  some_test.sh
+  another_test.py
+examples/
+  BUILD
+  bin.chai
+  lib.chai
+  test.chai
+```
+
+### README.md
+
+At the top level, there should be a README.md that contains (at least) what
+users will need to copy-paste into their WORKSPACE file to use your rule.
+In general, this will be a `git_repository` pointing to your GitHub repo and
+a macro call that downloads/configures any tools your rule needs. For example,
+for the [Go
+rules](https://github.com/bazelbuild/rules_go/blob/master/README.md#setup), this
+looks like:
+
+```
+git_repository(
+    name = "io_bazel_rules_go",
+    remote = "https://github.com/bazelbuild/rules_go.git",
+    tag = "0.0.2",
+)
+load("@io_bazel_rules_go//go:def.bzl", "go_repositories")
+
+go_repositories()
+```
+
+If your rules depend on another repository's rules, specify both in the
+`README.md` (see the [Skydoc rules](https://github.com/bazelbuild/skydoc#setup),
+which depend on the Sass rules, for an example of this).
+
+### Tests
+
+There should be tests that verify that the rules are working as expected. This
+can either be in the standard location for the language the rules are for or a
+`tests/` directory at the top level.
+
+### Optional: Examples
+
+It is useful to users to have an `examples/` directory that shows users a couple
+of basic ways that the rules can be used.
+
+## Testing
+
+Set up Travis as described in their [getting started
+docs](https://docs.travis-ci.com/user/getting-started/). Then add a
+`.travis.yml` file to your repository with the following content:
+
+```
+language:
+  - java
+jdk:
+  - oraclejdk8  # Building Bazel requires JDK8.
+before_install:
+  - wget https://github.com/bazelbuild/bazel/archive/0.3.0.zip  # Replace with desired version
+  - unzip 0.3.0.zip
+  - cd bazel-0.3.0
+  - ./compile.sh
+  - sudo cp output/bazel /usr/bin/bazel
+  - cd ..
+  - rm -rf bazel-0.3.0
+script:
+  - bazel build //...
+  - bazel test //...
+```
+
+Right now Bazel has to be compiled from source, as Travis does not support a
+version of GCC that works with the precompiled Bazel binaries. Thus, the
+`before_install` steps download the Bazel source, compile it, and "install" the
+Bazel binary in /usr/bin.
+
+If your repository is under the [bazelbuild organization](https://github.com/bazelbuild),
+contact the [bazel-dev](https://groups.google.com/forum/#!forum/bazel-dev) list
+to have it added to [ci.bazel.io](http://ci.bazel.io).
+
+## Documentation
+
+See the [Skydoc documentation](https://github.com/bazelbuild/skydoc) for
+instructions on how to comment your rules so that documentation can be generated
+automatically.
+
+## FAQs
+
+### Why can't we add our rule to the Bazel GitHub repository?
+
+We want to decouple rules from Bazel releases as much as possible. It's clearer
+who owns individual rules, reducing the load on Bazel developers. For our users,
+decoupling makes it easier to modify, upgrade, downgrade, and replace rules.
+Contributing to rules can be lighter weight than contributing to Bazel -
+depending on the rules -, including full submit access to the corresponding
+GitHub repository. Getting submit access to Bazel itself is a much more involved
+process.
+
+The downside is a more complicated one-time installation process for our users:
+they have to copy-paste a rule into their WORKSPACE file, as shown in the
+README section above.
+
+We used to have all of the Skylark rules in the Bazel repository (under
+`//tools/build_rules` or `//tools/build_defs`). We still have a couple rules
+there, but we are working on moving the remaining rules out.
diff --git a/site/versions/master/docs/skylark/index.md b/site/versions/master/docs/skylark/index.md
new file mode 100644
index 0000000000..b7d46a56f4
--- /dev/null
+++ b/site/versions/master/docs/skylark/index.md
@@ -0,0 +1,16 @@
+---
+layout: documentation
+title: Extensions
+---
+
+# Extensions
+Skylark is the name of the extension mechanism in Bazel. It lets you add support
+for new languages and tools by writing [custom build rules](rules.md). You can
+also compose existing rules into [macros](macros.md).
+
+## Getting started
+
+Read the [concepts](concepts.md) behind Skylark and try the
+[cookbook examples](cookbook.md). To go further, read about the
+[standard library](lib/globals.html).
+
diff --git a/site/versions/master/docs/skylark/macros.md b/site/versions/master/docs/skylark/macros.md
new file mode 100644
index 0000000000..6242af8d1a
--- /dev/null
+++ b/site/versions/master/docs/skylark/macros.md
@@ -0,0 +1,140 @@
+---
+layout: documentation
+title: Macros
+---
+# Macros
+
+## Macro creation
+
+A macro is a function called from the BUILD file that can instantiate rules.
+Macros don't give additional power, they are just used for encapsulation and
+code reuse. By the end of the loading phase, macros don't exist anymore, and
+Bazel sees only the set of rules they created.
+
+Native rules can be instantiated from the `native` module, e.g.
+
+```python
+def my_macro(name, visibility=None):
+  native.cc_library(
+    name = name,
+    srcs = ["main.cc"],
+    visibility = visibility,
+  )
+```
+
+If you need to know the package name (i.e. which BUILD file is calling the
+macro), use the constant [PACKAGE_NAME](lib/globals.html#PACKAGE_NAME).
+
+## Examples
+
+* [Macro creating rules](cookbook.md#macro).
+
+* [Macro creating native rules](cookbook.md#macro_native).
+
+* [Macro combining multiple rules](cookbook.md#macro_compound).
+
+## Debugging
+
+* `bazel query --output=build //my/path:all` will show you how the BUILD
+file looks like after evaluation. All macros, globs, loops are expanded.
+
+* You can also use [print](lib/globals.html#print) for debugging. It displays
+the message as a warning during the loading phase. Except in rare cases, remove
+your `print` calls before submitting the code to the depot.
+
+## Errors
+
+If you want to throw an error, use the [fail](lib/globals.html#fail) function.
+Explain clearly to the user what went wrong and how to fix their BUILD file. It
+is not possible to catch an error.
+
+```
+def my_macro(name, deps, visibility=None):
+  if len(deps) < 2:
+    fail("Expected at least two values in deps")
+  # ...
+```
+
+## Conventions
+
+* All public functions (functions that don't start with underscore) that
+instantiate rules must have a `name` argument. This argument should not be
+optional (don't give a default value).
+
+* Public functions should use a docstring following [Python
+  conventions](https://google-styleguide.googlecode.com/svn/trunk/pyguide.html?showone=Comments#Comments).
+
+* In BUILD files, the `name` argument of the macros must be a keyword
+  argument (not a positional argument).
+
+* The `name` attribute of rules generated by a macro should include the name
+  argument as a prefix. For example, `macro(name = "foo")` can generate a
+  `cc_library` `foo` and a genrule `foo_gen`.
+
+* In most cases, optional parameters should have a default value of `None`.
+  `None` can be passed directly to native rules, which treat it the same as if
+  you had not passed in any argument. Thus, there is no need to replace it with
+  `0`, `False`, or `[]` for this purpose. Instead, the macro should defer to the
+  rules it creates, as their defaults may be complex or may change over time.
+  Additionally, a parameter that is explicitly set to its default value looks
+  different than one that is never set (or set to `None`) when accessed through
+  the query language or build-system internals.
+
+* Macros should have an optional `visibility` argument.
+
+## Full example
+
+The typical use-case for a macro is when you want to reuse a genrule, e.g.
+
+```
+genrule(
+    name = "file",
+    outs = ["file.txt"],
+    cmd = "$(location generator) some_arg > $@",
+    tools = [":generator"],
+)
+```
+
+If you want to generate another file with different arguments, you may want to
+extract this code to a function.
+
+The BUILD file will become simply:
+
+```
+load("//path:generator.bzl", "file_generator")
+
+file_generator(
+    name = "file",
+    arg = "some_arg",
+)
+```
+
+In order to keep BUILD files clean and declarative, you must put the function in
+a separate `.bzl` file. For example, write the definition of the macro in
+`path/generator.bzl`:
+
+```
+def file_generator(name, arg, visibility=None):
+  native.genrule(
+    name = name,
+    outs = [name + ".txt"],
+    cmd = "$(location generator) %s > $@" % arg,
+    tools = ["//test:generator"],
+    visibility = visibility,
+  )
+```
+
+When you want to investigate what a macro does, use the following command to
+see the expanded form:
+
+```
+$ bazel query --output=build :file
+# /absolute/path/test/ext.bzl:42:3
+genrule(
+  name = "file",
+  tools = ["//test:generator"],
+  outs = ["//test:file.txt"],
+  cmd = "$(location generator) some_arg > $@",
+)
+```
+
diff --git a/site/versions/master/docs/skylark/repository_rules.md b/site/versions/master/docs/skylark/repository_rules.md
new file mode 100644
index 0000000000..762069d95d
--- /dev/null
+++ b/site/versions/master/docs/skylark/repository_rules.md
@@ -0,0 +1,78 @@
+---
+layout: documentation
+title: Repository Rules
+---
+# Repository Rules
+
+**Status: Experimental**. We may make breaking changes to the API, but we will
+  announce them and help you update your code.
+
+An [external repository](/docs/external.md) is a rule that can be used only
+in the `WORKSPACE` file and enable non-hermetic operation at the loading phase
+of Bazel. Each external repository rule creates its own workspace, with its
+own BUILD files and artifacts. They can be used to depend on third-party
+libraries (such as Maven packaged libraries) but also to generate BUILD files
+specific to the host Bazel is running on.
+
+## Repository Rule creation
+
+In a `.bzl` file, use the
+[repository_rule](lib/globals.html#repository_rule) function to create a new
+repository rule and store it in a global variable.
+
+A custom repository rule can be used just like a native repository rule. It
+has a mandatory `name` attribute and every target present in its build files
+can be refered as `@<name>//package:target` where `<name>` is the value of the
+`name` attribute.
+
+The rule is loaded when you explictly build it, or if it is a dependency of
+the build. In this case, Bazel will execute its `implementation` function. This
+function describe how to creates the repository, its content and BUILD files.
+
+## Attributes
+
+An attribute is a rule argument, such as `url` or `sha256`. You must list
+the attributes and their types when you define a repository rule.
+
+```python
+local_repository = repository_rule(
+    implementation=_impl,
+    local=True,
+    attrs={"path": attr.string(mandatory=True)})
+```
+
+`name` attributes are implicitely defined for all `repository_rule`s.
+To access an attribute, use `repository_ctx.attr.<attribute_name>`.
+The name of a repository rule is accessible with `repository_ctx.name`.
+
+If an attribute name starts with `_` it is private and users cannot set it.
+
+## Implementation function
+
+Every repository rule requires an `implementation` function. It contains the
+actual logic of the rule and is executed strictly in the Loading Phase.
+The function has exactly one input parameter, `repository_ctx`, and should
+always returns `None`. The input parameter `repository_ctx` can be used to
+access attribute values, and non-hermetic functions (finding a binary,
+exuting a binary, creating a file in the repository or downloading a file
+from the Internet). See [the library](lib/repository_ctx.html) for more
+context. Example:
+
+```python
+def _impl(repository_ctx):
+  repository_ctx.symlink(repository_ctx.attr.path, "")
+
+local_repository = repository_rule(
+    implementation=_impl,
+    ...)
+```
+
+## Examples
+
+For now, we only have one full example of usage of the `repository_rule`:
+[C++ auto-configured toolchain](https://github.com/bazelbuild/bazel/blob/9116b3e99af2fd31d92c9bb7c37905a1675456c1/tools/cpp/cc_configure.bzl#L288).
+
+This example uses a repository rule to automatically create the
+C++ configuration files for Bazel by looking for the local C++ compiler, the
+environment and the flags the C++ compiler supports.
+
diff --git a/site/versions/master/docs/skylark/rules.md b/site/versions/master/docs/skylark/rules.md
new file mode 100644
index 0000000000..c2f191423f
--- /dev/null
+++ b/site/versions/master/docs/skylark/rules.md
@@ -0,0 +1,460 @@
+---
+layout: documentation
+title: Rules
+---
+# Rules
+
+**Status: Experimental**. We may make breaking changes to the API, but we will
+  help you update your code.
+
+A rule defines a series of actions that Bazel should perform on inputs to get a
+set of outputs.  For example, a C++ binary rule might take a set of .cpp
+files (the inputs), run `g++` on them (the action), and return an executable
+file (the output).
+
+Note that, from Bazel's perspective, `g++` and the standard C++ libraries are
+also inputs to this rule. As a rule writer, you must consider not only the
+user-provided inputs to a rule, but also all of the tools and libraries required
+to execute the actions (called _implicit inputs_).
+
+## Rule creation
+
+In a `.bzl` file, use the [rule](lib/globals.html#rule)
+function to create a new rule and store it in a global variable:
+
+```python
+my_rule = rule(...)
+```
+
+See [the cookbook](cookbook.md#empty) for examples. The rule can then be
+loaded by BUILD files:
+
+```python
+load('//some/pkg:whatever.bzl', 'my_rule')
+```
+
+A custom rule can be used just like a native rule. It has a mandatory `name`
+attribute, you can refer to it with a label, and you can see it in
+`bazel query`.
+
+The rule is analyzed when you explictly build it, or if it is a dependency of
+the build. In this case, Bazel will execute its `implementation` function. This
+function decides what the outputs of the rule are and how to build them (using
+`actions`). During analysis, no external command can be executed: actions will
+be run in the execution phase.
+
+## Attributes
+
+An attribute is a rule argument, such as `srcs` or `deps`. You must list
+the attributes and their types when you define a rule.
+
+```python
+sum = rule(
+    implementation = impl,
+    attrs = {
+        "number": attr.int(default = 1),
+        "deps": attr.label_list(),
+    },
+)
+```
+
+The following attributes are implicitly added to every rule: `deprecation`,
+`features`, `name`, `tags`, `testonly`, `visibility`. Test rules also have the
+following attributes: `args`, `flaky`, `local`, `shard_count`, `size`,
+`timeout`.
+
+Labels listed in `attr` will be inputs to the rule.
+
+To access an attribute in a rule's implementation, use
+`ctx.attr.<attribute_name>`. The name and the package of a rule are available
+with `ctx.label.name` and `ctx.label.package`.
+
+See [an example](cookbook.md#attr) of using `attr` in a rule.
+
+### <a name="private-attributes"></a> Private Attributes
+
+If an attribute name starts with `_` it is private and users cannot set it. It
+is useful in particular for label attributes (your rule will have an
+implicit dependency on this label).
+
+```python
+metal_compile = rule(
+    implementation=impl,
+    attrs={
+        "srcs": attr.label_list(),
+        "_compiler": attr.label(
+            default=Label("//tools:metalc"),
+            allow_single_file=True,
+            executable=True,
+        ),
+    },
+)
+```
+
+## Implementation function
+
+Every rule requires an `implementation` function. It contains the actual
+logic of the rule and is executed strictly in the Analysis Phase. The function
+has exactly one input parameter, `ctx`, and it may return
+the [runfiles](#runfiles) and [providers](#providers)
+of the rule. The input parameter `ctx` can be used to access attribute values,
+outputs and dependent targets, and files. It also has some helper functions.
+See [the library](lib/ctx.html) for more context. Example:
+
+```python
+def impl(ctx):
+  ...
+  return struct(
+      runfiles=...,
+      my_provider=...,
+      ...
+  )
+
+my_rule = rule(
+    implementation=impl,
+    ...
+)
+```
+
+## Files
+
+There are two kinds of files: files stored in the file system and generated
+files. For each generated file, there must be one and only one generating
+action, and each action must generate one or more output files. Bazel will throw
+an error otherwise.
+
+## Targets
+
+Every build rule corresponds to exactly one target. A target can create
+[actions](#actions), can have dependencies (which can be files or
+other build rules), [output files](#output-files) (generated by
+its actions), and [providers](#providers).
+
+A target `y` depends on target `x` if `y` has a label or label list type
+attribute where `x` is declared:
+
+```python
+my_rule(
+    name = "x",
+)
+
+my_rule(
+    name = "y",
+    deps = [":x"],
+)
+```
+
+In the above case, it's possible to access targets declared in `my_rule.deps`:
+
+```python
+def impl(ctx):
+  for dep in ctx.attr.deps:
+    # Do something with dep
+  ...
+
+my_rule = rule(
+    implementation=impl,
+    attrs={
+        "deps": attr.label_list(),
+    },
+    ...
+)
+```
+
+## <a name="output-files"></a> Output files
+
+A target can declare output files, which must be generated by the target's
+actions. There are three ways to create output files:
+
+* If the rule is marked `executable`, it creates an output file of the same name
+  as the rule's. [See example](cookbook.md#outputs-executable)
+
+* The rule can declare default `outputs`, which are always generated.
+  [See example](cookbook.md#outputs-default)
+
+* The rule can have output or output list type attributes. In that case the
+  output files come from the actual attribute values.
+  [See example](cookbook.md#outputs-custom)
+
+Each output file must have exactly one generating action. See the
+[library](lib/ctx.html#outputs) for more context.
+
+## Default outputs
+
+Every rule has a set of default outputs. This is used:
+
+* When the user runs `bazel build` on your target. Bazel will build the default
+  outputs of the rule.
+
+* When the target is used as a dependency of another rule. A rule can access
+  the default outputs by using [target.files](lib/Target.html#files).
+  This is the case, for example, if you use a rule in the `srcs` attribute of a
+  `genrule`.
+
+Use the `files` provider to specify the default outputs of a rule.
+If left unspecified, it will contain all the declared outputs.
+
+```python
+def _impl(ctx):
+  # ...
+  return struct(files=set([file1, file2]))
+```
+
+This can be useful for exposing files generated with
+[ctx.new_file](lib/ctx.html#new_file). You can also have "implicit
+outputs", i.e., files that are declared in the rule, but not in the default
+outputs (like `_deploy.jar` in `java_binary`).
+
+## Actions
+
+There are three ways to create actions:
+
+* [ctx.action](lib/ctx.html#action), to run a command.
+* [ctx.file_action](lib/ctx.html#file_action), to write a string to a file.
+* [ctx.template_action](lib/ctx.html#template_action), to generate a file from a template.
+
+Actions take a set (which can be empty) of input files and generate a (non-empty)
+set of output files.
+The set of input and output files must be known during the analysis phase. It
+might depend on the value of attributes and information from dependencies, but
+it cannot depend on the result of the execution. For example, if your action
+runs the unzip command, you must specify which files you expect to be inflated
+(before running unzip).
+
+Actions are comparable to pure functions: They should depend only on the
+provided inputs, and avoid accessing computer information, username, clock,
+network, or I/O devices (except for reading inputs and writing outputs).
+
+**If an action generates a file that is not listed in its outputs**: This is
+fine, but the file will be ignored and cannot be used by other rules.
+
+**If an action does not generate a file that is listed in its outputs**: This is
+an execution error and the build will fail. This happens for instance when a
+compilation fails.
+
+**If an action generates an unknown number of outputs and you want to keep them
+all**, you must group them in a single file (e.g., a zip, tar, or other
+archive format). This way, you will be able to deterministically declare your
+outputs.
+
+**If an action does not list a file it uses as an input**, the action execution
+will most likely result in an error. The file is not guaranteed to be available
+to the action, so if it **is** there, it's due to coincidence or error.
+
+**If an action lists a file as an input, but does not use it**: This is fine.
+However, it can affect action execution order, resulting in sub-optimal
+performance.
+
+Dependencies are resolved by Bazel, which will decide which actions are
+executed. It is an error if there is a cycle in the dependency graph. Creating
+an action does not guarantee that it will be executed: It depends on whether
+its outputs are needed for the build.
+
+## Configurations
+
+By default, a target is built in the target configuration. For each label
+attribute, you can decide whether the dependency should be built in the same
+configuration, or in the host configuration.
+
+In general, sources, dependent libraries, and executables that will be needed at
+runtime can use the same configuration.
+
+Tools that are executed as part of the build (e.g., compilers, code generators)
+should be built for the host configuration. In this case, specify `cfg="host"`
+in the attribute.
+
+The configuration `"data"` is present for legacy reasons and should be used for
+the `data` attributes.
+
+
+## <a name="fragments"></a> Configuration Fragments
+
+Rules may access configuration fragments such as `cpp`, `java` and `jvm`.
+However, all required fragments must be declared in order to avoid access
+errors:
+
+```python
+def impl(ctx):
+    # Using ctx.fragments.cpp would lead to an error since it was not declared.
+    x = ctx.fragments.java
+    ...
+
+my_rule = rule(
+    implementation=impl,
+    fragments=["java"],      # Required fragments of the target configuration
+    host_fragments=["java"], # Required fragments of the host configuration
+    ...
+)
+```
+
+`ctx.fragments` only provides configuration fragments for the target
+configuration. If you want to access fragments for the host configuration,
+use `ctx.host_fragments` instead.
+
+## Providers
+
+Providers are used to access information from other rules. A rule depending on
+another rule has access to the data the latter provides. These data can be e.g.
+output files, the libraries the dependent rule is using to link or compile, or
+anything the depending rule should know about. Using providers is the only way
+to exchange data between rules.
+
+A rule can only access data provided by its direct dependencies, not that of
+transitive dependencies: if rule `top` depends on `middle`, and `middle` depends
+on `bottom`, then `middle` is a direct dependency of `top` and `bottom` is a
+transitive dependency of `top`. In this scenario `top` can only access data
+provided by `middle`. If `middle` also provides the data that `bottom` provided
+to it, then and only then can `top` access it.
+
+The following data types can be passed using providers:
+
+* `bool`
+* `integer`
+* `string`
+* `file`
+* `label`
+* `None`
+* anything composed of these types and `lists`, `dicts`, `sets` or `structs`
+
+Providers are created from the return value of the rule implementation function:
+
+```python
+def rule_implementation(ctx):
+  ...
+  return struct(
+    transitive_data=set(["a", "b", "c"])
+  )
+```
+
+A dependent rule might access these data as struct fields of the `target` being
+dependened upon:
+
+```python
+def dependent_rule_implementation(ctx):
+  ...
+  s = set()
+  for dep_target in ctx.attr.deps:
+    # Use `print(dir(dep_target))` to see the list of providers.
+    s += dep_target.transitive_data
+  ...
+```
+
+Providers are only available during the analysis phase. Examples of usage:
+
+* [mandatory providers](cookbook.md#mandatory-providers)
+* [optional providers](cookbook.md#optional-providers)
+
+## Runfiles
+
+Runfiles are a set of files used by the (often executable) output of a rule
+during runtime (as opposed to build time, i.e. when the binary itself is
+generated).
+During execution, Bazel creates a directory tree containing symlinks pointing to
+the runfiles, staging the environment for the binary so it can access the
+runfiles during runtime.
+
+Runfiles can be added manually during rule creation and/or collected
+transitively from the rule's dependencies:
+
+```python
+def rule_implementation(ctx):
+  ...
+  transitive_runfiles = set()
+  for dep in ctx.attr.special_dependencies:
+     transitive_runfiles += dep.transitive_runtime_files
+
+  runfiles = ctx.runfiles(
+      # Add some files manually.
+      files=[ctx.file.some_data_file],
+      # Add transitive files from dependencies manually.
+      transitive_files=transitive_runfiles,
+      # Collect runfiles from the common locations: transitively from srcs,
+      # deps and data attributes.
+      collect_default=True,
+  )
+  # Add a field named "runfiles" to the return struct in order to actually
+  # create the symlink tree.
+  return struct(runfiles=runfiles)
+```
+
+Note that non-executable rule outputs can also have runfiles. For example, a
+library might need some external files during runtime, and every dependent
+binary should know about them.
+
+Also note that if an action uses an executable, the executable's runfiles can
+be used when the action executes.
+
+Normally, the relative path of a file in the runfiles tree is the same as the
+relative path of that file in the source tree or generated output tree. If these
+need to be different for some reason, you can specify the `root_symlinks` or
+`symlinks` arguments.  The `root_symlinks` is a dictionary mapping paths to
+files, where the paths are relative to the root of the runfiles directory. The
+`symlinks` dictionary is the same, but paths are implicitly prefixed with the
+name of the workspace.
+
+```python
+    ...
+    runfiles = ctx.runfiles(
+        root_symlinks={"some/path/here.foo": ctx.file.some_data_file2}
+        symlinks={"some/path/here.bar": ctx.file.some_data_file3}
+    )
+    # Creates something like:
+    # sometarget.runfiles/
+    #     some/
+    #         path/
+    #             here.foo -> some_data_file2
+    #     <workspace_name>/
+    #         some/
+    #             path/
+    #                 here.bar -> some_data_file3
+```
+
+If `symlinks` or `root_symlinks` is used, be careful not to map two different
+files to the same path in the runfiles tree. This will cause the build to fail
+with an error describing the conflict. To fix, you will need to modify your
+`ctx.runfiles` arguments to remove the collision. This checking will be done for
+any targets using your rule, as well as targets of any kind that depend on those
+targets.
+
+## Instrumented files
+
+Instrumented files are a set of files used by the coverage command. A rule can
+use the `instrumented_files` provider to provide information about which files
+should be used for measuring coverage.
+
+```python
+def rule_implementation(ctx):
+  ...
+  return struct(instrumented_files=struct(
+      # Optional: File extensions used to filter files from source_attributes.
+      # If not provided, then all files from source_attributes will be
+      # added to instrumented files, if an empty list is provided, then
+      # no files from source attributes will be added.
+      extensions=["ext1", "ext2"],
+      # Optional: Attributes that contain source files for this rule.
+      source_attributes=["srcs"],
+      # Optional: Attributes for dependencies that could include instrumented
+      # files.
+      dependency_attributes=["data", "deps"]))
+```
+
+## Executable rules
+
+An executable rule is a rule that users can run using `bazel run`.
+
+To make a rule executable, set `executable=True` in the
+[rule function](lib/globals.html#rule). During the analysis
+phase, the rule must generate the output file `ctx.outputs.executable`.
+[See example](cookbook.md#outputs-executable)
+
+## Test rules
+
+Test rules are run using `bazel test`.
+
+To create a test rule, set `test=True` in the
+[rule function](lib/globals.html#rule). The name of the rule must
+also end with `_test`. Test rules are implicitly executable, which means they
+must generate the output file `ctx.outputs.executable`.
+
+Test rules inherit the following attributes: `args`, `flaky`, `local`,
+`shard_count`, `size`, `timeout`.
author	David Chen <dzc@google.com>	2016-07-26 20:54:03 +0000
committer	Damien Martin-Guillerez <dmarting@google.com>	2016-07-27 11:15:14 +0000
commit	3e8bcae69a0718cf6972be086706b1841e0ed6b7 (patch)
tree	ce6b37e16350f164d9ef937a69ba51558c99e53d /site/versions/master/docs/skylark
parent	3b47b1fdc6b24bb2c947d02316c1cf4e6a02cf09 (diff)