This document serves as an introduction to parsing text with Hoon. No prior knowledge of parsing is required, and we will explain the basic structure of how parsing works in a purely functional language such as Hoon before moving on to how it is implemented in Hoon.
Note: For JSON printing/parsing and encoding/decoding, see the JSON Guide.
What is parsing?
A program which takes a raw sequence of characters as an input and produces a data structure as an output is known as a parser. The data structure produced depends on the use case, but often it may be represented as a tree and the output is thought of as a structural representation of the input. Parsers are ubiquitous in computing, commonly used for to perform tasks such as reading files, compiling source code, or understanding commands input in a command line interface.
Parsing a string is rarely done all at once. Instead, it is usually done character-by-character, and the return contains the data structure representing what has been parsed thus far as well as the remainder of the string to be parsed. They also need to be able to fail in case the input is improperly formed. We will see each of these standard practices implemented in Hoon below.
Functional parsers
How parsers are built varies substantially depending on what sort of programming language it is written in. As Hoon is a functional programming language, we will be focused on understanding functional parsers, also known as combinator parsers. In this section we will make light use of pseudocode, as introducing the Hoon to describe functional parsers here creates a chicken-and-egg problem.
Complex functional parsers are built piece by piece from simpler parsers that are plugged into one another in various ways to perform the desired task.
The basic building blocks, or primitives, are parsers that read only a single character. There are frequently a few types of possible input characters, such as letters, numbers, and symbols. For example, (parse "1" integer)
calls the parsing routine on the string "1"
and looks for an integer, and so it returns the integer 1
. However, taking into account what was said above about parsers returning the unparsed portion of the string as well, we should represent this return as a tuple. So we should expect something like this:
> (parse "1" integer)[1 ""]> (parse "123" integer)[1 "23"]
What if we wish to parse the rest of the string? We would need to apply the parse
function again:
> (parse (parse "123" integer) integer)[12 "3"]> (parse (parse (parse "123" integer) integer) integer)[123 ""]
So we see that we can parse strings larger than one character by stringing together parsing functions for single characters. Thus in addition to parsing functions for single input characters, we want parser combinators that allow you to combine two or more parsers to form a more complex one. Combinators come in a few shapes and sizes, and typical operations they may perform would be to repeat the same parsing operation until the string is consumed, try a few different parsing operations until one of them works, or perform a sequence of parsing operations. We will see how all of this is done with Hoon in the next section.
Parsing in Hoon
In this section we will cover the basic types, parser functions, and parser combinators that are utilized for parsing in Hoon. This is not a complete guide to every parsing-related functionality in the standard library (of which there are quite a few), but ought to be sufficient to get started with parsing in Hoon and be equipped to discover the remainder yourself.
Basic types
In this section we discuss the types most commonly used for Hoon parsers. In short:
- A
hair
is the position in the text the parser is at, - A
nail
is parser input, - An
edge
is parser output, - A
rule
is a parser.
hair
++ hair [p=@ud q=@ud]
A hair
is a pair of @ud
used to keep track of what has already been parsed for stack tracing purposes. This allows the parser to reveal where the problem is in case it hits something unexpected during parsing.
p
represents the column and q
represents the line.
nail
++ nail [p=hair q=tape]
We recall from our discussion above that parsing functions must keep track of both what has been parsed and what has yet to be parsed. Thus a nail
consists of both a hair
, giving the line and column up to which the input sequence has already been parsed, and a tape
, consisting of what remains of the original input string (i.e. everything after the location indicated by the nail
, including the character at that nail
).
For example, if you wish to feed the entire tape
"abc"
into a parser, you would pass it as the nail
[[1 1] "abc"]
. If the parser successfully parses the first character, the nail
it returns will be [[1 2] "bc"]
(though we note that parser outputs are actually edge
s which contain a nail
, see the following). The nail
only matters for book-keeping reasons - it could be any value here since it doesn't refer to a specific portion of the string being input, but only what has theoretically already been parsed up to that point.
edge
++ edge [p=hair q=(unit [p=* q=nail])]
An edge
is the output of a parser. If parsing succeeded, p
is the location of the original input tape
up to which the text has been parsed. If parsing failed, p
will be the first hair
at which parsing failed.
q
may be ~
, indicating that parsing has failed . If parsing did not fail, p.q
is the data structure that is the result of the parse up to this point, while q.q
is the nail
which contains the remainder of what is to be parsed. If q
is not null, p
and p.q.q
are identical.
rule
++ rule _|:($:nail $:edge)
A rule
is a gate which takes in a nail
and returns an edge
- in other words, a parser.
Parser builders
These functions are used to build rule
s (i.e. parsers), and thus are often called rule-builders. For a complete list of parser builders, see 4f: Parsing (Rule-Builders), but also the more specific functions in 4h: Parsing (ASCII Glyphs), 4i: Parsing (Useful Idioms), 4j: Parsing (Bases and Base Digits), 4l: Atom Parsing.
+just
The most basic rule builder, +just
takes in a single char
and produces a rule
that attempts to match that char
to the first character in the tape
of the input nail
.
> =edg ((just 'a') [[1 1] "abc"])> edg[p=[p=1 q=2] q=[~ [p='a' q=[p=[p=1 q=2] q="bc"]]]]
We note that p.edg
is [p=1 q=2]
, indicating that the next character to be parsed is in line 1, column 2. q.edg
is not null, indicating that parsing succeeded. p.q.edg
is 'a'
, which is the result of the parse. p.q.q.edg
is the same as p.edg
, which is always the case for rule
s built using standard library functions when parsing succeeds. Lastly, q.q.edg
is "bc"
, which is the part of the input tape
that has yet to be parsed.
Now let's see what happens when parsing fails.
> =edg ((just 'b') [[1 1] "abc"])> edg[p=[p=1 q=1] q=~]
Now we have that p.edg
is the same as the input hair
, [1 1]
, meaning the parser has not advanced since parsing failed. q.edg
is null, indicating that parsing has failed.
Later we will use +star to string together a sequence of +just
s in order to parse multiple characters at once.
+jest
+jest
is a rule
builder used to match a cord
. It takes an input cord
and produces a rule
that attempts to match that cord
against the beginning of the input.
Let's see what happens when we successfully parse the entire input tape
.
> =edg ((jest 'abc') [[1 1] "abc"])> edg[p=[p=1 q=4] q=[~ [p='abc' q=[p=[p=1 q=4] q=""]]]]
p.edg
is [p=1 q=4]
, indicating that the next character to be parsed is at line 1, column 4. Of course, this does not exist since the input tape
was only 3 characters long, so this actually indicates that the entire tape
has been successfully parsed (since the hair
does not advance in the case of failure). p.q.edg
is 'abc'
, as expected. q.q.edg
is ""
, indicating that nothing remains to be parsed.
What happens if we only match some of the input tape
?
> =edg ((jest 'ab') [[1 1] "abc"])> edg[p=[p=1 q=3] q=[~ [p='ab' q=[p=[p=1 q=3] q="c"]]]]
Now we have that the result, p.q.edg
, is 'ab'
, while the remainder q.q.q.edg
is "c"
. So +jest
has successfully parsed the first two characters, while the last character remains. Furthermore, we still have the information that the remaining character was in line 1 column 3 from p.edg
and p.q.q.edg
.
What happens when +jest
fails?
> ((jest 'bc') [[1 1] "abc"])[p=[p=1 q=1] q=~]
Despite the fact that 'bc'
appears in "abc"
, because it was not at the beginning the parse failed. We will see in parser combinators how to modify this rule
so that it finds bc
successfully.
+shim
+shim
is used to parse characters within a given range. It takes in two atoms and returns a rule
.
> ((shim 'a' 'z') [[1 1] "abc"])[p=[p=1 q=2] q=[~ [p='a' q=[p=[p=1 q=2] q="bc"]]]]
+next
+next
is a simple rule
that takes in the next character and returns it as the parsing result.
> (next [[1 1] "abc"])[p=[p=1 q=2] q=[~ [p='a' q=[p=[p=1 q=2] q="bc"]]]]
+cold
+cold
is a rule
builder that takes in a constant noun we'll call cus
and a rule
we'll call sef
. It returns a rule
identical to the sef
except it replaces the parsing result with cus
.
Here we see that p.q
of the edge
returned by the rule
created with +cold
is %foo
.
> ((cold %foo (just 'a')) [[1 1] "abc"])[p=[p=1 q=2] q=[~ u=[p=%foo q=[p=[p=1 q=2] q="bc"]]]]
One common scenario where +cold
sees play is when writing command line interface (CLI) apps. We usher the reader there to find an example where +cold
is used.
+knee
Another important function in the parser builder library is +knee
, used for building recursive parsers. We delay discussion of +knee
to the section below as more context is needed to explain it properly.
Outside callers
Since hair
s, nail
s, etc. are only utilized within the context of writing parsers, we'd like to hide them from the rest of the code of a program that utilizes parsers. That is to say, you'd like the programmer to only worry about passing tape
s to the parser, and not have to dress up the tape
as a nail
themselves. Thus we have several functions for exactly this purpose.
These functions take in either a tape
or a cord
, alongside a rule
, and attempt to parse the input with the rule
. If the parse succeeds, it returns the result. There are crashing and unitized versions of each caller, corresponding to what happens when a parse fails.
For additional information including examples see 4g: Parsing (Outside Caller).
Parsing tape
s
+scan
takes in a tape
and a rule
and attempts to parse the tape
with the rule
.
> (scan "hello" (jest 'hello'))'hello'> (scan "hello zod" (jest 'hello')){1 6}'syntax-error'
+rust
is the unitized version of +scan
.
> (rust "a" (just 'a'))[~ 'a']> (rust "a" (just 'b'))~
For the remainder of this tutorial we will make use of +scan
so that we do not need to deal directly with nail
s except where it is illustrative to do so.
Parsing atoms
Recall from Hoon School that cord
s are atoms with the aura @t
and are typically used to represent strings internally as data, as atoms are faster for the computer to work with than tape
s, which are list
s of @tD
atoms. +rash
and +rush
are for parsing atoms, with +rash
being analogous to +scan
and +rush
being analogous to +rust
. Under the hood, +rash
calls +scan
after converting the input atom to a tape
, and +rush
does similary for +rust
.
Parser modifiers
The standard library provides a number of gates that take a rule
and produce a new modified rule
according to some process. We call these parser modifiers. These are documented among the parser builders.
+ifix
+ifix
modifies a rule
so that it matches that rule
only when it is surrounded on both sides by text that matches a pair of rule
s, which is discarded.
> (scan "(42)" (ifix [pal par] (jest '42')))'42'
+pal
and +par
are shorthand for (just '(')
and (just ')')
, respectively. All ASCII glyphs have counterparts of this sort, documented here.
+star
+star
is used to apply a rule
repeatedly. Recall that +just
only parses the first character in the input tape.
> ((just 'a') [[1 1] "aaaa"])[p=[p=1 q=2] q=[~ [p='a' q=[p=[p=1 q=2] q="aaa"]]]]
We can use +star
to get the rest of the tape
:
> ((star (just 'a')) [[1 1] "aaa"])[p=[p=1 q=4] q=[~ [p=[i='a' t=<|a a|>] q=[p=[p=1 q=4] q=""]]]]
and we note that the parsing ceases when it fails.
> ((star (just 'a')) [[1 1] "aaab"])[p=[p=1 q=4] q=[~ [p=[i='a' t=<|a a|>] q=[p=[p=1 q=4] q="b"]]]]
We can combine +star
with +next
to just return the whole input:
> ((star next) [[1 1] "aaabc"])[p=[p=1 q=6] q=[~ [p=[i='a' t=<|a a b c|>] q=[p=[p=1 q=6] q=""]]]]
+cook
+cook
takes a rule
and a gate and produces a modified version of the rule
that passes the result of a successful parse through the given gate.
Let's modify the rule (just 'a')
so that it when it successfully parses a
, it returns the following letter b
as the result.
((cook |=(a=@ `@t`+(a)) (just 'a')) [[1 1] "abc"])[p=[p=1 q=2] q=[~ u=[p='b' q=[p=[p=1 q=2] q="bc"]]]]
Parser combinators
Building complex parsers from simpler parsers is accomplished in Hoon with the use of two tools: the monadic applicator rune ;~
and parsing combinators. First we introduce a few combinators, then we examine more closely how ;~
is used to chain them together.
The syntax to combine rule
s is
;~(combinator rule1 rule2 ... ruleN)
The rule
s are composed together using the combinator as an intermediate function, which takes the product of a rule
(an edge
) and a rule
and turns it into a sample (a nail
) for the next rule
to handle. We elaborate on this behavior below.
+plug
+plug
simply takes the nail
in the edge
produced by one rule and passes it to the next rule
, forming a cell of the results as it proceeds.
> (scan "starship" ;~(plug (jest 'star') (jest 'ship')))['star' 'ship']
+pose
+pose
tries each rule
you hand it successively until it finds one that works.
> (scan "a" ;~(pose (just 'a') (just 'b')))'a'> (scan "b" ;~(pose (just 'a') (just 'b')))'b'
+glue
+glue
parses a delimiter in between each rule
and forms a cell of the results of each rule
.
> (scan "a,b" ;~((glue com) (just 'a') (just 'b')))['a' 'b']> (scan "a,b,a" ;~((glue com) (just 'a') (just 'b'))){1 4}syntax error> (scan "a,b,a" ;~((glue com) (just 'a') (just 'b') (just 'a')))['a' 'b' 'a']
;~
Understanding the rune ;~
is essential to building parsers with Hoon. Let's take this opportunity to think about it carefully.
The rule
created by ;~(combinator (list rule))
may be understood inductively. To do this, let's consider the base case where our (list rule)
has only a single entry.
> (scan "star" ;~(plug (jest 'star')))'star'
Our output is identical to that given by (scan "star" (jest 'star'))
. This is to be expected. The combinator +plug
is specifically used for chaining together rule
s in the (list rule)
, but if there is only one rule
, there is nothing to chain. Thus, swapping out +plug
for another combinator makes no difference here:
> (scan "star" ;~(pose (jest 'star')))'star'> (scan "star" ;~((glue com) (jest 'star')))'star'
;~
and the combinator only begin to play a role once the (list rule)
has at least two elements. So let's look at an example done with +plug
, the simplest combinator.
> (scan "star" ;~(plug (jest 'st') (jest 'ar')))['st' 'ar']
Our return suggests that we first parsed "star"
with the rule
(jest 'st')
and passed the resulting edge
to (jest 'ar')
- in other words, we called +plug
on (jest 'st')
and the edge
returned once it had been used to parse "star"
. Thus +plug
was the glue that allowed us to join the two rule
s, and ;~
performed the gluing operation. And so, swapping +plug
for +pose
results in a crash, which clues us into the fact that the combinator now has an effect since there is more than one rule
.
> (scan "star" ;~(pose (jest 'st') (jest 'ar'))){1 3}syntax error
Parsing numbers
Functions for parsing numbers are documented in 4j: Parsing (Bases and Base Digits). In particular, dem
is a rule
for parsing decimal numbers.
> (scan "42" dem)42> (add 1 (scan "42" dem))43
Recursive parsers
Naively attempting to write a recursive rule
, i.e. like
> |-(;~(plug prn ;~(pose $ (easy ~))))
results in an error:
-find.,.+6-find.,.+6rest-loop
Here, +prn
is a rule
used to parse any printable character, and +easy
is a rule
that always returns a constant (~
in this case) regardless of the input.
Thus some special sauce is required, the +knee
function.
+knee
takes in a noun that is the default value of the parser, typically given as the bunt value of the type that the rule
produces, as well as a gate that accepts a rule
. +knee
produces a rule
that implements any recursive calls in the rule
in a manner acceptable to the compiler. Thus the preferred manner to write the above rule
is as follows:
|-(;~(plug prn ;~(pose (knee *tape |.(^$)) (easy ~))))
You may want to utilize the ~+
rune when writing recursive parsers to cache the parser to improve performance. In the following section, we will be writing a recursive parser making use of +knee
and ~+
throughout.
Parsing arithmetic expressions
In this section we will be applying what we have learned to write a parser for arithmetic expressions in Hoon. That is, we will make a rule
that takes in tape
s of the form "(2+3)*4"
and returns 20
as a @ud
.
We call a tape
consisting of some consistent arithmetic string of numbers, +
, *
, (
, and )
an expression. We wish to build a rule
that takes in an expression and returns the result of the arithmetic computation described by the expression as a @ud
.
To build a parser it is a helpful exercise to first describe its grammar. This has a formal mathematical definition, but we will manage to get by here describing the grammar for arithmetic expressions informally.
First let's look at the code we're going to use, and then dive into explaining it. If you'd like to follow along, save the following as expr-parse.hoon
in your gen/
folder.
:: expr-parse: parse arithmetic expressions::|= math=tape|^ (scan math expr)++ factor%+ knee *@ud|. ~+;~ posedem(ifix [pal par] expr)==++ term%+ knee *@ud|. ~+;~ pose((slug mul) tar ;~(pose factor term))factor==++ expr%+ knee *@ud|. ~+;~ pose((slug add) lus ;~(pose term expr))term==--
Informally, the grammar here is:
- A factor is either an integer or an expression surrounded by parentheses.
- A term is either a factor or a factor times a term.
- An expression is either a term or a term plus an expression.
Factors, terms, and expressions
Our grammar consists of three rule
s: one for factors, one for terms, and one for expressions.
Factors
++ factor%+ knee *@ud|. ~+;~ posedem(ifix [pal par] expr)==
A factor is either a decimal number or an expression surrounded by parentheses. Put into Hoon terms, a decimal number is parsed by the rule
+dem
and an expression is parsed by removing the surrounding parentheses and then passing the result to the expression parser arm +expr
, given by the rule
(ifix [pal par] expr)
. Since we want to parse our expression with one or the other, we chain these two rule
s together using the monadic applicator rune ;~
along with +pose
, which says to try each rule in succession until one of them works.
Since expressions ultimately reduce to factors, we are actually building a recursive rule. Thus we need to make use of +knee
. The first argument for +knee
is *@ud
, since our final answer should be a @ud
.
Then follows the definition of the gate utilized by +knee
:
|. ~+;~ posedem(ifix [pal par] expr)==
~+
is used to cache the parser, so that it does not need to be computed over and over again. Then it follows the rule
we described above.
Parsing expressions
An expression is either a term plus an expression or a term.
In the case of a term plus an expression, we actually must compute what that equals. Thus we will make use of +slug
, which parses a delimited list into tape
s separated by a given delimiter and then composes them by folding with a binary gate. In this case, our delimiter is +
and our binary gate is +add
. That is to say, we will split the input string into terms and expressions separated by luses, parse each term and expression until they reduce to a @ud
, and then add them together. This is accomplished with the rule
((slug add) lus ;~(pose term expr))
.
If the above rule
does not parse the expression, it must be a term
, so the tape
is automatically passed to +term
to be evaluated. Again we use ;~
and pose
to accomplish this:
;~ pose((slug add) lus ;~(pose term expr))term==
The rest of the +expr
arm is structured just like how +factor
is, and for the same reasons.
Parsing terms
A term is either a factor times a term or a factor. This is handled similarly for expressions, we just need to swap lus
for tar
, add
for mul
, and ;~(pose factor term)
instead of ;~(pose term expr)
.
++ expr%+ knee *@ud|. ~+;~ pose((slug add) lus ;~(pose term expr))term==
Try it out
Let's feed some expressions to +expr-parse
and see how it does.
> +expr-parse "3"3> +expr-parse "3+3"6> +expr-parse "3+3+(2*3)+(4+2)*(4+1)"42> +expr-parse "3+3+2*3"12
As an exercise, add exponentiation (e.g. 2^3 = 8
) to +expr-parse
.