======================
Nim Tutorial (Part II)
======================

:Author: Andreas Rumpf
:Version: |nimversion|

.. contents::


Introduction
============

  "Repetition renders the ridiculous reasonable." -- Norman Wildberger


This document is a tutorial for the advanced constructs of the *Nim*
programming language. **Note that this document is somewhat obsolete as the**
`manual <manual.html>`_ **contains many more examples of the advanced language
features.**


Pragmas
=======

Pragmas are Nim's method to give the compiler additional information/
commands without introducing a massive number of new keywords. Pragmas are
enclosed in the special ``{.`` and ``.}`` curly dot brackets. This tutorial
does not cover pragmas. See the `manual <manual.html#pragmas>`_ or `user guide
<nimc.html#additional-features>`_ for a description of the available
pragmas.


Object Oriented Programming
===========================

While Nim's support for object oriented programming (OOP) is minimalistic,
powerful OOP technics can be used. OOP is seen as *one* way to design a
program, not *the only* way. Often a procedural approach leads to simpler
and more efficient code. In particular, prefering composition over inheritance
is often the better design.


Objects
-------

Like tuples, objects are a means to pack different values together in a
structured way. However, objects provide many features that tuples do not:
They provide inheritance and information hiding. Because objects encapsulate
data, the ``T()`` object constructor should only be used internally and the
programmer should provide a proc to initialize the object (this is called
a *constructor*).

Objects have access to their type at runtime. There is an
``of`` operator that can be used to check the object's type:

.. code-block:: nim
  type
    TPerson = object of TObject
      name*: string  # the * means that `name` is accessible from other modules
      age: int       # no * means that the field is hidden from other modules

    TStudent = object of TPerson # TStudent inherits from TPerson
      id: int                    # with an id field

  var
    student: TStudent
    person: TPerson
  assert(student of TStudent) # is true
  # object construction:
  student = TStudent(name: "Anton", age: 5, id: 2)

Object fields that should be visible from outside the defining module have to
be marked by ``*``. In contrast to tuples, different object types are
never *equivalent*. New object types can only be defined within a type
section.

Inheritance is done with the ``object of`` syntax. Multiple inheritance is
currently not supported. If an object type has no suitable ancestor, ``TObject``
can be used as its ancestor, but this is only a convention. Objects that have 
no ancestor are implicitly ``final``. You can use the ``inheritable`` pragma 
to introduce new object roots apart from ``system.TObject``. (This is used
in the GTK wrapper for instance.)


**Note**: Composition (*has-a* relation) is often preferable to inheritance
(*is-a* relation) for simple code reuse. Since objects are value types in
Nim, composition is as efficient as inheritance.


Mutually recursive types
------------------------

Objects, tuples and references can model quite complex data structures which
depend on each other; they are *mutually recursive*. In Nim
these types can only be declared within a single type section. (Anything else
would require arbitrary symbol lookahead which slows down compilation.)

Example:

.. code-block:: nim
  type
    PNode = ref TNode # a traced reference to a TNode
    TNode = object
      le, ri: PNode   # left and right subtrees
      sym: ref TSym   # leaves contain a reference to a TSym

    TSym = object     # a symbol
      name: string    # the symbol's name
      line: int       # the line the symbol was declared in
      code: PNode     # the symbol's abstract syntax tree


Type conversions
----------------
Nim distinguishes between `type casts`:idx: and `type conversions`:idx:.
Casts are done with the ``cast`` operator and force the compiler to
interpret a bit pattern to be of another type.

Type conversions are a much more polite way to convert a type into another:
They preserve the abstract *value*, not necessarily the *bit-pattern*. If a
type conversion is not possible, the compiler complains or an exception is
raised.

The syntax for type conversions is ``destination_type(expression_to_convert)``
(like an ordinary call):

.. code-block:: nim
  proc getID(x: TPerson): int =
    TStudent(x).id

The ``InvalidObjectConversionError`` exception is raised if ``x`` is not a
``TStudent``.


Object variants
---------------
Often an object hierarchy is overkill in certain situations where simple
variant types are needed.

An example:

.. code-block:: nim

  # This is an example how an abstract syntax tree could be modeled in Nim
  type
    TNodeKind = enum  # the different node types
      nkInt,          # a leaf with an integer value
      nkFloat,        # a leaf with a float value
      nkString,       # a leaf with a string value
      nkAdd,          # an addition
      nkSub,          # a subtraction
      nkIf            # an if statement
    PNode = ref TNode
    TNode = object
      case kind: TNodeKind  # the ``kind`` field is the discriminator
      of nkInt: intVal: int
      of nkFloat: floatVal: float
      of nkString: strVal: string
      of nkAdd, nkSub:
        leftOp, rightOp: PNode
      of nkIf:
        condition, thenPart, elsePart: PNode

  var n = PNode(kind: nkFloat, floatVal: 1.0)
  # the following statement raises an `FieldError` exception, because
  # n.kind's value does not fit:
  n.strVal = ""

As can been seen from the example, an advantage to an object hierarchy is that
no conversion between different object types is needed. Yet, access to invalid
object fields raises an exception.


Methods
-------
In ordinary object oriented languages, procedures (also called *methods*) are
bound to a class. This has disadvantages:

* Adding a method to a class the programmer has no control over is
  impossible or needs ugly workarounds.
* Often it is unclear where the method should belong to: is
  ``join`` a string method or an array method?

Nim avoids these problems by not assigning methods to a class. All methods
in Nim are multi-methods. As we will see later, multi-methods are
distinguished from procs only for dynamic binding purposes.


Method call syntax
------------------

There is a syntactic sugar for calling routines:
The syntax ``obj.method(args)`` can be used instead of ``method(obj, args)``.
If there are no remaining arguments, the parentheses can be omitted:
``obj.len`` (instead of ``len(obj)``).

This method call syntax is not restricted to objects, it can be used
for any type:

.. code-block:: nim
  
  echo("abc".len) # is the same as echo(len("abc"))
  echo("abc".toUpper())
  echo({'a', 'b', 'c'}.card)
  stdout.writeln("Hallo") # the same as writeln(stdout, "Hallo")

(Another way to look at the method call syntax is that it provides the missing
postfix notation.)

So "pure object oriented" code is easy to write:

.. code-block:: nim
  import strutils
  
  stdout.writeln("Give a list of numbers (separated by spaces): ")
  stdout.write(stdin.readLine.split.map(parseInt).max.`$`)
  stdout.writeln(" is the maximum!")


Properties
----------
As the above example shows, Nim has no need for *get-properties*:
Ordinary get-procedures that are called with the *method call syntax* achieve
the same. But setting a value is different; for this a special setter syntax
is needed:

.. code-block:: nim
  
  type
    TSocket* = object of TObject
      FHost: int # cannot be accessed from the outside of the module
                 # the `F` prefix is a convention to avoid clashes since
                 # the accessors are named `host`

  proc `host=`*(s: var TSocket, value: int) {.inline.} =
    ## setter of hostAddr
    s.FHost = value
  
  proc host*(s: TSocket): int {.inline.} =
    ## getter of hostAddr
    s.FHost

  var
    s: TSocket
  s.host = 34  # same as `host=`(s, 34)

(The example also shows ``inline`` procedures.)


The ``[]`` array access operator can be overloaded to provide
`array properties`:idx:\ :

.. code-block:: nim
  type
    TVector* = object
      x, y, z: float

  proc `[]=`* (v: var TVector, i: int, value: float) =
    # setter
    case i
    of 0: v.x = value
    of 1: v.y = value
    of 2: v.z = value
    else: assert(false)

  proc `[]`* (v: TVector, i: int): float =
    # getter
    case i
    of 0: result = v.x
    of 1: result = v.y
    of 2: result = v.z
    else: assert(false)

The example is silly, since a vector is better modelled by a tuple which
already provides ``v[]`` access.


Dynamic dispatch
----------------

Procedures always use static dispatch. For dynamic dispatch replace the
``proc`` keyword by ``method``:

.. code-block:: nim
  type
    PExpr = ref object of TObject ## abstract base class for an expression
    PLiteral = ref object of PExpr
      x: int
    PPlusExpr = ref object of PExpr
      a, b: PExpr

  # watch out: 'eval' relies on dynamic binding
  method eval(e: PExpr): int =
    # override this base method
    quit "to override!"
  
  method eval(e: PLiteral): int = e.x
  method eval(e: PPlusExpr): int = eval(e.a) + eval(e.b)
  
  proc newLit(x: int): PLiteral = PLiteral(x: x)
  proc newPlus(a, b: PExpr): PPlusExpr = PPlusExpr(a: a, b: b)
  
  echo eval(newPlus(newPlus(newLit(1), newLit(2)), newLit(4)))
  
Note that in the example the constructors ``newLit`` and ``newPlus`` are procs
because they should use static binding, but ``eval`` is a method because it
requires dynamic binding.

In a multi-method all parameters that have an object type are used for the
dispatching:

.. code-block:: nim

  type
    TThing = object of TObject
    TUnit = object of TThing
      x: int
      
  method collide(a, b: TThing) {.inline.} =
    quit "to override!"
    
  method collide(a: TThing, b: TUnit) {.inline.} =
    echo "1"
  
  method collide(a: TUnit, b: TThing) {.inline.} =
    echo "2"
  
  var
    a, b: TUnit
  collide(a, b) # output: 2


As the example demonstrates, invocation of a multi-method cannot be ambiguous:
Collide 2 is preferred over collide 1 because the resolution works from left to
right. Thus ``TUnit, TThing`` is preferred over ``TThing, TUnit``.

**Perfomance note**: Nim does not produce a virtual method table, but
generates dispatch trees. This avoids the expensive indirect branch for method
calls and enables inlining. However, other optimizations like compile time
evaluation or dead code elimination do not work with methods.


Exceptions
==========

In Nim exceptions are objects. By convention, exception types are
suffixed with 'Error'. The `system <system.html>`_ module defines an
exception hierarchy that you might want to stick to. Exceptions derive from
``system.Exception``, which provides the common interface.

Exceptions have to be allocated on the heap because their lifetime is unknown.
The compiler will prevent you from raising an exception created on the stack.
All raised exceptions should at least specify the reason for being raised in
the ``msg`` field.

A convention is that exceptions should be raised in *exceptional* cases:
For example, if a file cannot be opened, this should not raise an
exception since this is quite common (the file may not exist).


Raise statement
---------------
Raising an exception is done with the ``raise`` statement:

.. code-block:: nim
  var
    e: ref OSError
  new(e)
  e.msg = "the request to the OS failed"
  raise e

If the ``raise`` keyword is not followed by an expression, the last exception
is *re-raised*. For the purpose of avoiding repeating this common code pattern,
the template ``newException`` in the ``system`` module can be used:

.. code-block:: nim
  raise newException(OSError, "the request to the OS failed")


Try statement
-------------

The ``try`` statement handles exceptions:

.. code-block:: nim
  # read the first two lines of a text file that should contain numbers
  # and tries to add them
  var
    f: File
  if open(f, "numbers.txt"):
    try:
      let a = readLine(f)
      let b = readLine(f)
      echo "sum: ", parseInt(a) + parseInt(b)
    except OverflowError:
      echo "overflow!"
    except ValueError:
      echo "could not convert string to integer"
    except IOError:
      echo "IO error!"
    except:
      echo "Unknown exception!"
      # reraise the unknown exception:
      raise
    finally:
      close(f)

The statements after the ``try`` are executed unless an exception is
raised. Then the appropriate ``except`` part is executed.

The empty ``except`` part is executed if there is an exception that is
not explicitly listed. It is similar to an ``else`` part in ``if``
statements.

If there is a ``finally`` part, it is always executed after the
exception handlers.

The exception is *consumed* in an ``except`` part. If an exception is not
handled, it is propagated through the call stack. This means that often
the rest of the procedure - that is not within a ``finally`` clause -
is not executed (if an exception occurs).

If you need to *access* the actual exception object or message inside an
``except`` branch you can use the `getCurrentException()
<system.html#getCurrentException>`_ and `getCurrentExceptionMsg()
<system.html#getCurrentExceptionMsg>`_ procs from the `system <system.html>`_
module. Example:

.. code-block:: nim
  try:
    doSomethingHere()
  except:
    let
      e = getCurrentException()
      msg = getCurrentExceptionMsg()
    echo "Got exception ", repr(e), " with message ", msg


Annotating procs with raised exceptions
---------------------------------------

Through the use of the optional ``{.raises.}`` pragma you can specify that a
proc is meant to raise a specific set of exceptions, or none at all. If the
``{.raises.}`` pragma is used, the compiler will verify that this is true. For
instance, if you specify that a proc raises ``IOError``, and at some point it
(or one of the procs it calls) starts raising a new exception the compiler will
prevent that proc from compiling. Usage example:

.. code-block:: nim
  proc complexProc() {.raises: [IOError, ArithmeticError].} =
    ...

  proc simpleProc() {.raises: [].} =
    ...

Once you have code like this in place, if the list of raised exception changes
the compiler will stop with an error specifying the line of the proc which
stopped validating the pragma and the raised exception not being caught, along
with the file and line where the uncaught exception is being raised, which may
help you locate the offending code which has changed.

If you want to add the ``{.raises.}`` pragma to existing code, the compiler can
also help you. You can add the ``{.effects.}`` pragma statement to your proc and
the compiler will output all inferred effects up to that point (exception
tracking is part of Nim's effect system). Another more roundabout way to
find out the list of exceptions raised by a proc is to use the Nim ``doc2``
command which generates documentation for a whole module and decorates all
procs with the list of raised exceptions. You can read more about Nim's
`effect system and related pragmas in the manual <manual.html#effect-system>`_.


Generics
========

Generics are Nim's means to parametrize procs, iterators or types
with `type parameters`:idx:. They are most useful for efficient type safe
containers:

.. code-block:: nim
  type
    TBinaryTree[T] = object      # TBinaryTree is a generic type with
                                 # with generic param ``T``
      le, ri: ref TBinaryTree[T] # left and right subtrees; may be nil
      data: T                    # the data stored in a node
    PBinaryTree*[T] = ref TBinaryTree[T] # type that is exported

  proc newNode*[T](data: T): PBinaryTree[T] =
    # constructor for a node
    new(result)
    result.data = data

  proc add*[T](root: var PBinaryTree[T], n: PBinaryTree[T]) =
    # insert a node into the tree
    if root == nil:
      root = n
    else:
      var it = root
      while it != nil:
        # compare the data items; uses the generic ``cmp`` proc
        # that works for any type that has a ``==`` and ``<`` operator
        var c = cmp(it.data, n.data)
        if c < 0:
          if it.le == nil:
            it.le = n
            return
          it = it.le
        else:
          if it.ri == nil:
            it.ri = n
            return
          it = it.ri

  proc add*[T](root: var PBinaryTree[T], data: T) =
    # convenience proc:
    add(root, newNode(data))

  iterator preorder*[T](root: PBinaryTree[T]): T =
    # Preorder traversal of a binary tree.
    # Since recursive iterators are not yet implemented,
    # this uses an explicit stack (which is more efficient anyway):
    var stack: seq[PBinaryTree[T]] = @[root]
    while stack.len > 0:
      var n = stack.pop()
      while n != nil:
        yield n.data
        add(stack, n.ri)  # push right subtree onto the stack
        n = n.le          # and follow the left pointer
      
  var
    root: PBinaryTree[string] # instantiate a PBinaryTree with ``string``
  add(root, newNode("hello")) # instantiates ``newNode`` and ``add``
  add(root, "world")          # instantiates the second ``add`` proc
  for str in preorder(root):
    stdout.writeln(str)

The example shows a generic binary tree. Depending on context, the brackets are
used either to introduce type parameters or to instantiate a generic proc,
iterator or type. As the example shows, generics work with overloading: the
best match of ``add`` is used. The built-in ``add`` procedure for sequences
is not hidden and is used in the ``preorder`` iterator.


Templates
=========

Templates are a simple substitution mechanism that operates on Nim's
abstract syntax trees. Templates are processed in the semantic pass of the
compiler. They integrate well with the rest of the language and share none
of C's preprocessor macros flaws.

To *invoke* a template, call it like a procedure.

Example:

.. code-block:: nim
  template `!=` (a, b: expr): expr =
    # this definition exists in the System module
    not (a == b)

  assert(5 != 6) # the compiler rewrites that to: assert(not (5 == 6))

The ``!=``, ``>``, ``>=``, ``in``, ``notin``, ``isnot`` operators are in fact
templates: this has the benefit that if you overload the ``==`` operator,
the ``!=`` operator is available automatically and does the right thing. (Except
for IEEE floating point numbers - NaN breaks basic boolean logic.)

``a > b`` is transformed into ``b < a``.
``a in b`` is transformed into ``contains(b, a)``.
``notin`` and ``isnot`` have the obvious meanings.

Templates are especially useful for lazy evaluation purposes. Consider a
simple proc for logging:

.. code-block:: nim
  const
    debug = true

  proc log(msg: string) {.inline.} =
    if debug: stdout.writeln(msg)
  
  var
    x = 4
  log("x has the value: " & $x)

This code has a shortcoming: if ``debug`` is set to false someday, the quite
expensive ``$`` and ``&`` operations are still performed! (The argument
evaluation for procedures is *eager*).

Turning the ``log`` proc into a template solves this problem:

.. code-block:: nim
  const
    debug = true

  template log(msg: string) =
    if debug: stdout.writeln(msg)
  
  var
    x = 4
  log("x has the value: " & $x)

The parameters' types can be ordinary types or the meta types ``expr``
(stands for *expression*), ``stmt`` (stands for *statement*) or ``typedesc``
(stands for *type description*). If the template has no explicit return type,
``stmt`` is used for consistency with procs and methods.

If there is a ``stmt`` parameter it should be the last in the template
declaration. The reason is that statements can be passed to a template
via a special ``:`` syntax:

.. code-block:: nim

  template withFile(f: expr, filename: string, mode: FileMode,
                    body: stmt): stmt {.immediate.} =
    let fn = filename
    var f: File
    if open(f, fn, mode):
      try:
        body
      finally:
        close(f)
    else:
      quit("cannot open: " & fn)
      
  withFile(txt, "ttempl3.txt", fmWrite):
    txt.writeln("line 1")
    txt.writeln("line 2")
  
In the example the two ``writeln`` statements are bound to the ``body``
parameter. The ``withFile`` template contains boilerplate code and helps to
avoid a common bug: to forget to close the file. Note how the
``let fn = filename`` statement ensures that ``filename`` is evaluated only
once.


Macros
======

Macros enable advanced compile-time code transformations, but they cannot
change Nim's syntax. However, this is no real restriction because Nim's
syntax is flexible enough anyway. Macros have to be implemented in pure Nim
code if `foreign function interface (FFI)
<manual.html#foreign-function-interface>`_ is not enabled in the compiler, but
other than that restriction (which at some point in the future will go away)
you can write any kind of Nim code and the compiler will run it at compile
time.

There are two ways to write a macro, either *generating* Nim source code and
letting the compiler parse it, or creating manually an abstract syntax tree
(AST) which you feed to the compiler. In order to build the AST one needs to
know how the Nim concrete syntax is converted to an abstract syntax tree
(AST). The AST is documented in the `macros <macros.html>`_ module.

Once your macro is finished, there are two ways to invoke it:
(1) invoking a macro like a procedure call (expression macros)
(2) invoking a macro with the special ``macrostmt``
    syntax (statement macros)


Expression Macros
-----------------

The following example implements a powerful ``debug`` command that accepts a
variable number of arguments:

.. code-block:: nim
  # to work with Nim syntax trees, we need an API that is defined in the
  # ``macros`` module:
  import macros

  macro debug(n: varargs[expr]): stmt =
    # `n` is a Nim AST that contains a list of expressions;
    # this macro returns a list of statements:
    result = newNimNode(nnkStmtList, n)
    # iterate over any argument that is passed to this macro:
    for i in 0..n.len-1:
      # add a call to the statement list that writes the expression;
      # `toStrLit` converts an AST to its string representation:
      result.add(newCall("write", newIdentNode("stdout"), toStrLit(n[i])))
      # add a call to the statement list that writes ": "
      result.add(newCall("write", newIdentNode("stdout"), newStrLitNode(": ")))
      # add a call to the statement list that writes the expressions value:
      result.add(newCall("writeln", newIdentNode("stdout"), n[i]))

  var
    a: array[0..10, int]
    x = "some string"
  a[0] = 42
  a[1] = 45

  debug(a[0], a[1], x)

The macro call expands to:

.. code-block:: nim
  write(stdout, "a[0]")
  write(stdout, ": ")
  writeln(stdout, a[0])

  write(stdout, "a[1]")
  write(stdout, ": ")
  writeln(stdout, a[1])

  write(stdout, "x")
  write(stdout, ": ")
  writeln(stdout, x)



Statement Macros
----------------

Statement macros are defined just as expression macros. However, they are
invoked by an expression following a colon.

The following example outlines a macro that generates a lexical analyzer from
regular expressions:

.. code-block:: nim

  macro case_token(n: stmt): stmt =
    # creates a lexical analyzer from regular expressions
    # ... (implementation is an exercise for the reader :-)
    discard

  case_token: # this colon tells the parser it is a macro statement
  of r"[A-Za-z_]+[A-Za-z_0-9]*":
    return tkIdentifier
  of r"0-9+":
    return tkInteger
  of r"[\+\-\*\?]+":
    return tkOperator
  else:
    return tkUnknown


Term rewriting macros
---------------------

Term rewriting macros can be used to enhance the compilation process
with user defined optimizations; see this `document <trmacros.html>`_ for 
further information.


Building your first macro
-------------------------

To give a footstart to writing macros we will show now how to turn your typical
dynamic code into something that compiles statically. For the exercise we will
use the following snippet of code as the starting point:

.. code-block:: nim

  import strutils, tables

  proc readCfgAtRuntime(cfgFilename: string): Table[string, string] =
    let
      inputString = readFile(cfgFilename)
    var
      source = ""

    result = initTable[string, string]()
    for line in inputString.splitLines:
      # Ignore empty lines
      if line.len < 1: continue
      var chunks = split(line, ',')
      if chunks.len != 2:
        quit("Input needs comma split values, got: " & line)
      result[chunks[0]] = chunks[1]

    if result.len < 1: quit("Input file empty!")

  let info = readCfgAtRuntime("data.cfg")

  when isMainModule:
    echo info["licenseOwner"]
    echo info["licenseKey"]
    echo info["version"]

Presumably this snippet of code could be used in a commercial software, reading
a configuration file to display information about the person who bought the
software. This external file would be generated by an online web shopping cart
to be included along the program containing the license information::

  version,1.1
  licenseOwner,Hyori Lee
  licenseKey,M1Tl3PjBWO2CC48m

The ``readCfgAtRuntime`` proc will open the given filename and return a
``Table`` from the `tables module <tables.html>`_. The parsing of the file is
done (without much care for handling invalid data or corner cases) using the
`splitLines proc from the strutils module <strutils.html#splitLines>`_. There
are many things which can fail; mind the purpose is explaining how to make
this run at compile time, not how to properly implement a DRM scheme.

The reimplementation of this code as a compile time proc will allow us to get
rid of the ``data.cfg`` file we would need to distribute along the binary, plus
if the information is really constant, it doesn't make from a logical point of
view to have it *mutable* in a global variable, it would be better if it was a
constant. Finally, and likely the most valuable feature, we can implement some
verification at compile time. You could think of this as a *better unit
testing*, since it is impossible to obtain a binary unless everything is
correct, preventing you to ship to users a broken program which won't start
because a small critical file is missing or its contents changed by mistake to
something invalid.


Generating source code
++++++++++++++++++++++

Our first attempt will start by modifying the program to generate a compile
time string with the *generated source code*, which we then pass to the
``parseStmt`` proc from the `macros module <macros.html>`_. Here is the
modified source code implementing the macro:

.. code-block:: nim
   :number-lines:

  import macros, strutils

  macro readCfgAndBuildSource(cfgFilename: string): stmt =
    let
      inputString = slurp(cfgFilename.strVal)
    var
      source = ""

    for line in inputString.splitLines:
      # Ignore empty lines
      if line.len < 1: continue
      var chunks = split(line, ',')
      if chunks.len != 2:
        error("Input needs comma split values, got: " & line)
      source &= "const cfg" & chunks[0] & "= \"" & chunks[1] & "\"\n"

    if source.len < 1: error("Input file empty!")
    result = parseStmt(source)

  readCfgAndBuildSource("data.cfg")

  when isMainModule:
    echo cfglicenseOwner
    echo cfglicenseKey
    echo cfgversion

The good news is not much has changed! First, we need to change the handling
of the input parameter (line 3). In the dynamic version the
``readCfgAtRuntime`` proc receives a string parameter. However, in the macro
version it is also declared as string, but this is the *outside* interface of
the macro.  When the macro is run, it actually gets a ``PNimNode`` object
instead of a string, and we have to call the `strVal proc
<macros.html#strVal>`_ (line 5) from the `macros module <macros.html>`_ to
obtain the string being passed in to the macro.

Second, we cannot use the `readFile proc <system.html#readFile>`_ from the
`system module <system.html>`_ due to FFI restriction at compile time. If we
try to use this proc, or any other which depends on FFI, the compiler will
error with the message ``cannot evaluate`` and a dump of the macro's source
code, along with a stack trace where the compiler reached before bailing out.
We can get around this limitation by using the `slurp proc
<system.html#slurp>`_ from the `system module <system.html>`_, which was
precisely made for compilation time (just like `gorge <system.html#gorge>`_
which executes an external program and captures its output).

The interesting thing is that our macro does not return a runtime `Table
<tables.html#TTable>`_ object. Instead, it builds up Nim source code into
the ``source`` variable.  For each line of the configuration file a ``const``
variable will be generated (line 15).  To avoid conflicts we prefix these
variables with ``cfg``. In essence, what the compiler is doing is replacing
the line calling the macro with the following snippet of code:

.. code-block:: nim
  const cfgversion= "1.1"
  const cfglicenseOwner= "Hyori Lee"
  const cfglicenseKey= "M1Tl3PjBWO2CC48m"

You can verify this yourself adding the line ``echo source`` somewhere at the
end of the macro and compiling the program. Another difference is that instead
of calling the usual `quit proc <system.html#quit>`_ to abort (which we could
still call) this version calls the `error proc <macros.html#error>`_ (line
14). The ``error`` proc has the same behavior as ``quit`` but will dump also
the source and file line information where the error happened, making it
easier for the programmer to find where compilation failed. In this situation
it would point to the line invoking the macro, but **not** the line of
``data.cfg`` we are processing, that's something the macro itself would need
to control.


Generating AST by hand
++++++++++++++++++++++

To generate an AST we would need to intimately know the structures used by the
Nim compiler exposed in the `macros module <macros.html>`_, which at first
look seems a daunting task. But we can use as helper shortcut the `dumpTree
macro <macros.html#dumpTree>`_, which is used as a statement macro instead of
an expression macro.  Since we know that we want to generate a bunch of
``const`` symbols we can create the following source file and compile it to
see what the compiler *expects* from us:

.. code-block:: nim
  import macros

  dumpTree:
    const cfgversion: string = "1.1"
    const cfglicenseOwner= "Hyori Lee"
    const cfglicenseKey= "M1Tl3PjBWO2CC48m"

During compilation of the source code we should see the following lines in the
output (again, since this is a macro, compilation is enough, you don't have to
run any binary)::

  StmtList
    ConstSection
      ConstDef
        Ident !"cfgversion"
        Ident !"string"
        StrLit 1.1
    ConstSection
      ConstDef
        Ident !"cfglicenseOwner"
        Empty
        StrLit Hyori Lee
    ConstSection
      ConstDef
        Ident !"cfglicenseKey"
        Empty
        StrLit M1Tl3PjBWO2CC48m

With this output we have a better idea of what kind of input the compiler
expects. We need to generate a list of statements. For each constant the source
code generates a ``ConstSection`` and a ``ConstDef``. If we were to move all
the constants to a single ``const`` block we would see only a single
``ConstSection`` with three children.

Maybe you didn't notice, but in the ``dumpTree`` example the first constant
explicitly specifies the type of the constant.  That's why in the tree output
the two last constants have their second child ``Empty`` but the first has a
string identifier. So basically a ``const`` definition is made up from an
identifier, optionally a type (can be an *empty* node) and the value. Armed
with this knowledge, let's look at the finished version of the AST building
macro:

.. code-block:: nim
   :number-lines:

  import macros, strutils

  macro readCfgAndBuildAST(cfgFilename: string): stmt =
    let
      inputString = slurp(cfgFilename.strVal)

    result = newNimNode(nnkStmtList)
    for line in inputString.splitLines:
      # Ignore empty lines
      if line.len < 1: continue
      var chunks = split(line, ',')
      if chunks.len != 2:
        error("Input needs comma split values, got: " & line)
      var
        section = newNimNode(nnkConstSection)
        constDef = newNimNode(nnkConstDef)
      constDef.add(newIdentNode("cfg" & chunks[0]))
      constDef.add(newEmptyNode())
      constDef.add(newStrLitNode(chunks[1]))
      section.add(constDef)
      result.add(section)

    if result.len < 1: error("Input file empty!")

  readCfgAndBuildAST("data.cfg")

  when isMainModule:
    echo cfglicenseOwner
    echo cfglicenseKey
    echo cfgversion

Since we are building on the previous example generating source code, we will
only mention the differences to it. Instead of creating a temporary ``string``
variable and writing into it source code as if it were written *by hand*, we
use the ``result`` variable directly and create a statement list node
(``nnkStmtList``) which will hold our children (line 7).

For each input line we have to create a constant definition (``nnkConstDef``)
and wrap it inside a constant section (``nnkConstSection``). Once these
variables are created, we fill them hierarchichally (line 17) like the
previous AST dump tree showed: the constant definition is a child of the
section definition, and the constant definition has an identifier node, an
empty node (we let the compiler figure out the type), and a string literal
with the value.

A last tip when writing a macro: if you are not sure the AST you are building
looks ok, you may be tempted to use the ``dumpTree`` macro. But you can't use
it *inside* the macro you are writting/debugging. Instead ``echo`` the string
generated by `treeRepr <macros.html#treeRepr>`_. If at the end of the this
example you add ``echo treeRepr(result)`` you should get the same output as
using the ``dumpTree`` macro, but of course you can call that at any point of
the macro where you might be having troubles.
