How to compress URL parameters
Say I have a single-page application that uses a third party API for content. The app’s logic is in-browser only; there is no backend I can write to.
To allow deep-linking into the state of the app, I use pushState() to keep track of a few variables that determine the state of the app. (Note that Ubersicht’s public version doesn’t do this yet.)
-
Variables:
repos,labels,milestones,username,show_open(bool),with_comments(bool), andwithout_comments(bool). -
URL format:
?label=label_1,label_2,label_3&repos=repo_1…. -
Values: the usual suspects. Roughly,
[a-zA-Z][a-zA-Z0-9_-], or any boolean indicator.
So far so good.
Now, since the query string can be a bit long and unwieldy and I would like to be able to pass around URLs like http://espy.github.io/ubersicht/?state=SOMOPAQUETOKENTHATLOSSLESSLYDECOMPRESSESINTOTHEORIGINALVALUES#hoodiehq, the shorter the better.
My first attempt was going to be using some zlib-like algorithm for this. Then @flipzagging pointed to antirez/smaz, which looks more suitable for short strings. (JavaScript version here.)
Since = and & are not specifically handled in the Javascript version (see line 9 of the main lib file), we might be able to tweak things a little there.
Furthermore, there is an option for encoding the values in a fixed table. With this option, the order of arguments is pre-defined and all we need to keep track of is the actual value. Example: turn a=hamster&b=cat into 7hamster3cat (length+chars) or hamster|cat (value + |), potentially before the smaz compression.
Is there anything else I should be looking for?
Solution 1:
A working solution putting various bits of good (or so I think) ideas together
I did this for fun, mainly because it gave me an opportunity to implement an Huffman encoder in PHP and I could not find a satisfactory existing implementation.
However, this might save you some time if you plan to explore a similar path.
Burrows-Wheeler+move-to-front+Huffman transform
I'm not quite sure BWT would be best suited for your kind of input.
This is no regular text, so recurring patterns would probably not occur as often as in source code or plain English.
Besides, a dynamic Huffman code would have to be passed along with the encoded data which, for very short input strings, would harm the compression gain badly.
I might well be wrong, in which case I would gladly see someone prove me to be.
Anyway, I decided to try another approach.
General principle
1) define a structure for your URL parameters and strip the constant part
for instance, starting from:
repos=aaa,bbb,ccc&
labels=ddd,eee,fff&
milestones=ggg,hhh,iii&
username=kkk&
show_open=0&
show_closed=1&
show_commented=1&
show_uncommented=0
extract:
aaa,bbb,ccc|ddd,eee,fff|ggg,hhh,iii|kkk|0110
where , and | act as string and/or field terminators, while boolean values don't need any.
2) define a static repartition of symbols based on the expected average input and derive a static Huffman code
Since transmitting a dynamic table would take more space than your initial string, I think the only way to achhieve any compression at all is to have a static huffman table.
However, you can use the structure of your data to your advantage to compute reasonable probabilities.
You can start with the repartition of letters in English or other languages and throw in a certain percentage of numbers and other punctuation signs.
Testing with a dynamic Huffman coding, I saw compression rates of 30 to 50%.
This means with a static table you can expect maybe a .6 compression factor (reducing the lenght of your data by 1/3), not much more.
3) convert this binary Huffmann code into something an URI can handle
The 70 regular ASCII 7 bits chars in that list
!'()*-.0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ_abcdefghijklmnopqrstuvwxyz
would give you an expansion factor of about 30%, practically no better than a base64 encode.
A 30% expansion would ruin the gain from a static Huffman compression, so this is hardly an option!
However, since you control the encoding client and server side, you can use about anything that is not an URI reserved character.
An interesting possiblity would be to complete the above set up to 256 with whatever unicode glyphs, which would allow to encode your binary data with the same number of URI-compliant characters, thus replacing a painful and slow bunch of long integer divisions with a lightning fast table lookup.
Structure description
The codec is meant to be used both client and server side, so it is essential that server and clients share a common data structure definition.
Since the interface is likely to evolve, it seems wise to store a version number for upward compatibility.
The interface definition will use a very minimalistic description language, like so:
v 1 // version number (between 0 and 63)
a en // alphabet used (English)
o 10 // 10% of digits and other punctuation characters
f 1 // 1% of uncompressed "foreign" characters
s 15:3 repos // list of expeced 3 strings of average length 15
s 10:3 labels
s 8:3 milestones
s 10 username // single string of average length 10
b show_open // boolean value
b show_closed
b show_commented
b show_uncommented
Each language supported will have a frequency table for all its used letters
digits and other computerish symbols like -, . or _ will have a global frequency, regardless of languages
separators (, and |) frequencies will be computed according to the number of lists and fields present in the structure.
All other "foreign" characters will be escaped with a specific code and encoded as plain UTF-8.
Implementation
The bidirectional conversion path is as follows:
list of fields <-> UTF-8 data stream <-> huffman codes <-> URI
Here is the main codec
include ('class.huffman.codec.php');
class IRI_prm_codec
{
// available characters for IRI translation
static private $translator = "0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyzÀÁÂÃÄÅÆÇÈÉÊËÌÍÎÏÐÑÒÓÔÕÖÙÚÛÜÝÞßàáâãäåæçèéêëìíîïðñòóôõöùúûüýþÿĀāĂ㥹ĆćĈĉĊċČčĎďĐđĒēĔĕĖėĘęĚěĜĝĞğĠġĢģĤĥĦħĨĩĪīĬĭĮįİıIJijĴĵĶķĸĹĺĻļĽľĿŀŁłŃńŅņŇňʼnŊŋŌōŎŏŐőŒœŔŕŖŗŘřŚśŜŝŞşŠšŢţŤťŦŧŨũŪūŬŭŮůŰűŲųŴŵŶŷŸŹźŻżŽžſƀƁƂƃƄƅ";
const VERSION_LEN = 6; // version number between 0 and 63
// ========================================================================
// constructs an encoder
// ========================================================================
public function __construct ($config)
{
$num_record_terminators = 0;
$num_record_separators = 0;
$num_text_sym = 0;
// parse config file
$lines = file($config, FILE_IGNORE_NEW_LINES|FILE_SKIP_EMPTY_LINES);
foreach ($lines as $line)
{
list ($code, $val) = preg_split('/\s+/', $line, 2);
switch ($code)
{
case 'v': $this->version = intval($val); break;
case 'a': $alphabet = $val; break;
case 'o': $percent_others = $val; break;
case 'f': $percent_foreign = $val; break;
case 'b':
$this->type[$val] = 'b';
break;
case 's':
list ($val, $field) = preg_split('/\s+/u', $val, 2);
@list ($len,$num) = explode (':', $val);
if (!$num) $num=1;
$this->type[$field] = 's';
$num_record_terminators++;
$num_record_separators+=$num-1;
$num_text_sym += $num*$len;
break;
default: throw new Exception ("Invalid config parameter $code");
}
}
// compute symbol frequencies
$total = $num_record_terminators + $num_record_separators + $num_text_sym + 1;
$num_chars = $num_text_sym * (100-($percent_others+$percent_foreign))/100;
$num_sym = $num_text_sym * $percent_others/100;
$num_foreign = $num_text_sym * $percent_foreign/100;
$this->get_frequencies ($alphabet, $num_chars/$total);
$this->set_frequencies (" .-_0123456789", $num_sym/$total);
$this->set_frequencies ("|", $num_record_terminators/$total);
$this->set_frequencies (",", $num_record_separators/$total);
$this->set_frequencies ("\1", $num_foreign/$total);
$this->set_frequencies ("\0", 1/$total);
// create Huffman codec
$this->huffman = new Huffman_codec();
$this->huffman->make_code ($this->frequency);
}
// ------------------------------------------------------------------------
// grab letter frequencies for a given language
// ------------------------------------------------------------------------
private function get_frequencies ($lang, $coef)
{
$coef /= 100;
$frequs = file("$lang.dat", FILE_IGNORE_NEW_LINES|FILE_SKIP_EMPTY_LINES);
foreach ($frequs as $line)
{
$vals = explode (" ", $line);
$this->frequency[$vals[0]] = floatval ($vals[1]) * $coef;
}
}
// ------------------------------------------------------------------------
// set a given frequency for a group of symbols
// ------------------------------------------------------------------------
private function set_frequencies ($symbols, $coef)
{
$coef /= strlen ($symbols);
for ($i = 0 ; $i != strlen($symbols) ; $i++) $this->frequency[$symbols[$i]] = $coef;
}
// ========================================================================
// encodes a parameter block
// ========================================================================
public function encode($input)
{
// get back input values
$bools = '';
foreach (get_object_vars($input) as $prop => $val)
{
if (!isset ($this->type[$prop])) throw new Exception ("unknown property $prop");
switch ($this->type[$prop])
{
case 'b': $bools .= $val ? '1' : '0'; break;
case 's': $strings[] = $val; break;
default: throw new Exception ("Uh oh... type ".$this->type[$prop]." not handled ?!?");
}
}
// set version number and boolean values in front
$prefix = sprintf ("%0".self::VERSION_LEN."b$bools", $this->version);
// pass strings to our Huffman encoder
$strings = implode ("|", $strings);
$huff = $this->huffman->encode ($strings, $prefix, "UTF-8");
// translate into IRI characters
mb_internal_encoding("UTF-8");
$res = '';
for ($i = 0 ; $i != strlen($huff) ; $i++) $res .= mb_substr (self::$translator, ord($huff[$i]), 1);
// done
return $res;
}
// ========================================================================
// decodes an IRI string into a lambda object
// ========================================================================
public function decode($input)
{
// convert IRI characters to binary
mb_internal_encoding("UTF-8");
$raw = '';
$len = mb_strlen ($input);
for ($i = 0 ; $i != $len ; $i++)
{
$c = mb_substr ($input, 0, 1);
$input = mb_substr ($input, 1);
$raw .= chr(mb_strpos (self::$translator, $c));
}
$this->bin = '';
// check version
$version = $this->read_bits ($raw, self::VERSION_LEN);
if ($version != $this->version) throw new Exception ("Version mismatch: expected {$this->version}, found $version");
// read booleans
foreach ($this->type as $field => $type)
if ($type == 'b')
$res->$field = $this->read_bits ($raw, 1) != 0;
// decode strings
$strings = explode ('|', $this->huffman->decode ($raw, $this->bin));
$i = 0;
foreach ($this->type as $field => $type)
if ($type == 's')
$res->$field = $strings[$i++];
// done
return $res;
}
// ------------------------------------------------------------------------
// reads raw bit blocks from a binary string
// ------------------------------------------------------------------------
private function read_bits (&$raw, $len)
{
while (strlen($this->bin) < $len)
{
if ($raw == '') throw new Exception ("premature end of input");
$this->bin .= sprintf ("%08b", ord($raw[0]));
$raw = substr($raw, 1);
}
$res = bindec (substr($this->bin, 0, $len));
$this->bin = substr ($this->bin, $len);
return $res;
}
}
The underlying Huffman codec
include ('class.huffman.dict.php');
class Huffman_codec
{
public $dict = null;
// ========================================================================
// encodes a string in a given string encoding (default: UTF-8)
// ========================================================================
public function encode($input, $prefix='', $encoding="UTF-8")
{
mb_internal_encoding($encoding);
$bin = $prefix;
$res = '';
$input .= "\0";
$len = mb_strlen ($input);
while ($len--)
{
// get next input character
$c = mb_substr ($input, 0, 1);
$input = substr($input, strlen($c)); // avoid playing Schlemiel the painter
// check for foreign characters
if (isset($this->dict->code[$c]))
{
// output huffman code
$bin .= $this->dict->code[$c];
}
else // foreign character
{
// escape sequence
$lc = strlen($c);
$bin .= $this->dict->code["\1"]
. sprintf("%02b", $lc-1); // character length (1 to 4)
// output plain character
for ($i=0 ; $i != $lc ; $i++) $bin .= sprintf("%08b", ord($c[$i]));
}
// convert code to binary
while (strlen($bin) >= 8)
{
$res .= chr(bindec(substr ($bin, 0, 8)));
$bin = substr($bin, 8);
}
}
// output last byte if needed
if (strlen($bin) > 0)
{
$bin .= str_repeat ('0', 8-strlen($bin));
$res .= chr(bindec($bin));
}
// done
return $res;
}
// ========================================================================
// decodes a string (will be in the string encoding used during encoding)
// ========================================================================
public function decode($input, $prefix='')
{
$bin = $prefix;
$res = '';
$len = strlen($input);
for ($i=0 ;;)
{
$c = $this->dict->symbol($bin);
switch ((string)$c)
{
case "\0": // end of input
break 2;
case "\1": // plain character
// get char byte size
if (strlen($bin) < 2)
{
if ($i == $len) throw new Exception ("incomplete escape sequence");
$bin .= sprintf ("%08b", ord($input[$i++]));
}
$lc = 1 + bindec(substr($bin,0,2));
$bin = substr($bin,2);
// get char bytes
while ($lc--)
{
if ($i == $len) throw new Exception ("incomplete escape sequence");
$bin .= sprintf ("%08b", ord($input[$i++]));
$res .= chr(bindec(substr($bin, 0, 8)));
$bin = substr ($bin, 8);
}
break;
case null: // not enough bits do decode further
// get more input
if ($i == $len) throw new Exception ("no end of input mark found");
$bin .= sprintf ("%08b", ord($input[$i++]));
break;
default: // huffman encoded
$res .= $c;
break;
}
}
if (bindec ($bin) != 0) throw new Exception ("trailing bits in input");
return $res;
}
// ========================================================================
// builds a huffman code from an input string or frequency table
// ========================================================================
public function make_code ($input, $encoding="UTF-8")
{
if (is_string ($input))
{
// make dynamic table from the input message
mb_internal_encoding($encoding);
$frequency = array();
while ($input != '')
{
$c = mb_substr ($input, 0, 1);
$input = mb_substr ($input, 1);
if (isset ($frequency[$c])) $frequency[$c]++; else $frequency[$c]=1;
}
$this->dict = new Huffman_dict ($frequency);
}
else // assume $input is an array of symbol-indexed frequencies
{
$this->dict = new Huffman_dict ($input);
}
}
}
And the huffman dictionary
class Huffman_dict
{
public $code = array();
// ========================================================================
// constructs a dictionnary from an array of frequencies indexed by symbols
// ========================================================================
public function __construct ($frequency = array())
{
// add terminator and escape symbols
if (!isset ($frequency["\0"])) $frequency["\0"] = 1e-100;
if (!isset ($frequency["\1"])) $frequency["\1"] = 1e-100;
// sort symbols by increasing frequencies
asort ($frequency);
// create an initial array of (frequency, symbol) pairs
foreach ($frequency as $symbol => $frequence) $occurences[] = array ($frequence, $symbol);
while (count($occurences) > 1)
{
$leaf1 = array_shift($occurences);
$leaf2 = array_shift($occurences);
$occurences[] = array($leaf1[0] + $leaf2[0], array($leaf1, $leaf2));
sort($occurences);
}
$this->tree = $this->build($occurences[0], '');
}
// -----------------------------------------------------------
// recursive build of lookup tree and symbol[code] table
// -----------------------------------------------------------
private function build ($node, $prefix)
{
if (is_array($node[1]))
{
return array (
'0' => $this->build ($node[1][0], $prefix.'0'),
'1' => $this->build ($node[1][1], $prefix.'1'));
}
else
{
$this->code[$node[1]] = $prefix;
return $node[1];
}
}
// ===========================================================
// extracts a symbol from a code stream
// if found : updates code stream and returns symbol
// if not found : returns null and leave stream intact
// ===========================================================
public function symbol(&$code_stream)
{
list ($symbol, $code) = $this->get_symbol ($this->tree, $code_stream);
if ($symbol !== null) $code_stream = $code;
return $symbol;
}
// -----------------------------------------------------------
// recursive search for a symbol from an huffman code
// -----------------------------------------------------------
private function get_symbol ($node, $code)
{
if (is_array($node))
{
if ($code == '') return null;
return $this->get_symbol ($node[$code[0]], substr($code, 1));
}
return array ($node, $code);
}
}
Example
include ('class.iriprm.codec.php');
$iri = new IRI_prm_codec ("config.txt");
foreach (array (
'repos' => "discussion,documentation,hoodie-cli",
'labels' => "enhancement,release-0.3.0,starter",
'milestones' => "1.0.0,1.1.0,v0.7",
'username' => "mklappstuhl",
'show_open' => false,
'show_closed' => true,
'show_commented' => true,
'show_uncommented' => false
) as $prop => $val) $iri_prm->$prop = $val;
$encoded = $iri->encode ($iri_prm);
echo "encoded as $encoded\n";
$decoded = $iri->decode ($encoded);
var_dump($decoded);
output:
encoded as 5ĶůťÊĕCOĔƀŪļŤłmĄZEÇŽÉįóšüÿjħũÅìÇēOĪäŖÏŅíŻÉĒQmìFOyäŖĞqæŠŹōÍĘÆŤŅËĦ
object(stdClass)#7 (8) {
["show_open"]=>
bool(false)
["show_closed"]=>
bool(true)
["show_commented"]=>
bool(true)
["show_uncommented"]=>
bool(false)
["repos"]=>
string(35) "discussion,documentation,hoodie-cli"
["labels"]=>
string(33) "enhancement,release-0.3.0,starter"
["milestones"]=>
string(16) "1.0.0,1.1.0,v0.7"
["username"]=>
string(11) "mklappstuhl"
}
In that example, the input got packed into 64 unicode characters, for an input length of about 100, yielding a 1/3 reduction.
An equivalent string:
discussion,documentation,hoodie-cli|enhancement,release-0.3.0,starter|
1.0.0,1.1.0,v0.7|mklappstuhl|0110
Would be compressed by a dynamic Huffman table to 59 characters. Not much of a difference.
No doubt smart data reordering would reduce that, but then you would need to pass the dynamic table along...
Chinese to the rescue?
Drawing on ttepasse's idea, one could take advantage of the huge number of Asian characters to find a range of 0x4000 (12 bits) contiguous values, to code 3 bytes into 2 CJK characters, like so:
// translate into IRI characters
$res = '';
$len = strlen ($huff);
for ($i = 0 ; $i != $len ; $i++)
{
$byte = ord($huff[$i]);
$quartet[2*$i ] = $byte >> 4;
$quartet[2*$i+1] = $byte &0xF;
}
$len *= 2;
while ($len%3 != 0) $quartet[$len++] = 0;
$len /= 3;
for ($i = 0 ; $i != $len ; $i++)
{
$utf16 = 0x4E00 // CJK page base, enough range for 2**12 (0x4000) values
+ ($quartet[3*$i+0] << 8)
+ ($quartet[3*$i+1] << 4)
+ ($quartet[3*$i+2] << 0);
$c = chr ($utf16 >> 8) . chr ($utf16 & 0xFF);
$res .= $c;
}
$res = mb_convert_encoding ($res, "UTF-8", "UTF-16");
and back:
// convert IRI characters to binary
$input = mb_convert_encoding ($input, "UTF-16", "UTF-8");
$len = strlen ($input)/2;
for ($i = 0 ; $i != $len ; $i++)
{
$val = (ord($input[2*$i ]) << 8) + ord ($input[2*$i+1]) - 0x4E00;
$quartet[3*$i+0] = ($val >> 8) &0xF;
$quartet[3*$i+1] = ($val >> 4) &0xF;
$quartet[3*$i+2] = ($val >> 0) &0xF;
}
$len *= 3;
while ($len %2) $quartet[$len++] = 0;
$len /= 2;
$raw = '';
for ($i = 0 ; $i != $len ; $i++)
{
$raw .= chr (($quartet[2*$i+0] << 4) + $quartet[2*$i+1]);
}
The previous output of 64 Latin chars
5ĶůťÊĕCOĔƀŪļŤłmĄZEÇŽÉįóšüÿjħũÅìÇēOĪäŖÏŅíŻÉĒQmìFOyäŖĞqæŠŹōÍĘÆŤŅËĦ
would "shrink" to 42 Asian characters:
乙堽孴峴勀垧壩坸冫嚘佰嫚凲咩俇噱刵巋娜奾埵峼圔奌夑啝啯嶼勲婒婅凋凋伓傊厷侖咥匄冯塱僌
However, as you can see, the sheer bulk of your average ideogram makes the string actually longer (pixel-wise), so even if the idea was promising, the outcome is rather disappointing.
Picking thinner glyphs
On the other hand, you can try to pick "thin" characters as a base for URI encoding. For instance:
█ᑊᵄ′ӏᶟⱦᵋᵎiïᵃᶾ᛬ţᶫꞌᶩ᠇܂اlᶨᶾᛁ⁚ᵉʇȋʇίן᠙ۃῗᥣᵋĭꞌ៲ᛧ༚ƫܙ۔ˀȷˁʇʹĭ∕ٱ;łᶥյ;ᴶ⁚ĩi⁄ʈ█
instead of
█5ĶůťÊĕCOĔƀŪļŤłmĄZEÇŽÉįóšüÿjħũÅìÇēOĪäŖÏŅíŻÉĒQmìFOyäŖĞqæŠŹōÍĘÆŤŅËĦ█
That will shrink the length by half with proportional fonts, including in a browser address bar.
My best candidate set of 256 "thin" glyphs so far:
᠊།ᑊʲ་༌ᵎᵢᶤᶩᶪᶦᶧˡ ⁄∕เ'Ꞌꞌ꡶ᶥᵗᶵᶨ|¦ǀᴵ ᐧᶠᶡ༴ˢᶳ⁏ᶴʳʴʵ։᛬⍮ʹ′ ⁚⁝ᵣ⍘༔⍿ᠵᥣᵋᵌᶟᴶǂˀˁˤ༑,. ∙Ɩ៲᠙ᵉᵊᵓᶜᶝₑₔյⵏⵑ༝༎՛ᵞᵧᚽᛁᛂᛌᛍᛙᛧᶢᶾ৷⍳ɩΐίιϊᵼἰἱἲἳἴἵἶἷὶίῐῑῒΐῖῗ⎰⎱᠆ᶿ՝ᵟᶫᵃᵄᶻᶼₐ∫ª౹᠔/:;\ijltìíîïĩīĭįıĵĺļłţŧſƚƫƭǐǰȉȋțȴȷɉɨɪɫɬɭʇʈʝːˑ˸;·ϳіїјӏ᠇ᴉᵵᵻᶅᶖḭḯḷḹḻḽṫṭṯṱẗẛỉị⁞⎺⎻⎼⎽ⱡⱦ꞉༈ǁ‖༅༚ᵑᵝᵡᵦᵪา᠑⫶ᶞᚁᚆᚋᚐᚕᵒᵔᵕᶱₒⵗˣₓᶹๅʶˠ᛫ᵛᵥᶺᴊ
Conclusion
This implementation should be ported to JavaScript to allow client-server exchange.
You should also provide a way to share the structure and Huffman codes with the clients.
It is not difficult and rather fun to do, but that means even more work :).
The Huffman gain in term of characters is around 30%.
Of course these characters are multibyte for the most part, but if you aim for the shortest URI it does not matter.
Except for the booleans that can easily be packed to 1 bit, those pesky strings seem rather reluctant to be compressed.
It might be possible to better tune the frequencies, but I doubt you will get above 50% compression rate.
On the other hand, picking thin glyphs does actually more to shrink the string.
So all in all the combination of both might indeed achieve something, though it's a lot of work for a modest result.
Solution 2:
Just as you yourself propose, I would first get rid of all the characters that are not carrying any information, because they are part of the "format".
E.g. turn "labels=open,ssl,cypher&repository=275643&username=ryanbrg&milestones=&with_comment=yes" to "open,ssl,cyper|275643|ryanbrg||yes".
Then use a Huffmann encoding with a fixed probability vector (resulting in a fixed mapping from characters to variable length bitstrings - with the most probable characters mapped to shorter bitstrings and less probable characters mapped to longer bitstrings).
You could even use different probability vectors for the different parameters. For example in the parameter "labels" the alpha characters will have high probability, but in the "repository" parameter the numeric characters will have the highest probability. If you do this, you should consider the separator "|" a part of the preceeding parameter.
And finally turn the long bitstring (which is the concatenation all the bitstrings to which the characters were mapped) into something you can put into an URL by base64url encoding it.
If you could send me a set of representative parameter lists, I could run them through a Huffmann coder to see how well they compress.
The probability vector (or equivalently the mapping from characters to bitstrings) should be encoded as constant arrays into the Javascript function that is sent to the browser.
Of course you could go even further and - for example - try to get a list of possible lables with their probabilities. Then you could map entire lables to bitstrings with a Huffmann encoding. This will give you better compression, but you will have extra work for those labels that are new (e.g. falling back to the single character encoding), and of course the mapping (which - as mentioned above - is a constant array in the Javascript function) will be much larger.
Solution 3:
Why not using protocol-buffers?
Protocol buffers are a flexible, efficient, automated mechanism for serializing structured data – think XML, but smaller, faster, and simpler. You define how you want your data to be structured once, then you can use special generated source code to easily write and read your structured data to and from a variety of data streams and using a variety of languages. You can even update your data structure without breaking deployed programs that are compiled against the "old" format.
ProtoBuf.js converts objects to protocol buffer messages and vice vera.
The following object converts to: CgFhCgFiCgFjEgFkEgFlEgFmGgFnGgFoGgFpIgNqZ2I=
{
repos : ['a', 'b', 'c'],
labels: ['d', 'e', 'f'],
milestones : ['g', 'h', 'i'],
username : 'jgb'
}
Example
The following example is built using require.js. Give it a try on this jsfiddle.
require.config({
paths : {
'Math/Long' : '//rawgithub.com/dcodeIO/Long.js/master/Long.min',
'ByteBuffer' : '//rawgithub.com/dcodeIO/ByteBuffer.js/master/ByteBuffer.min',
'ProtoBuf' : '//rawgithub.com/dcodeIO/ProtoBuf.js/master/ProtoBuf.min'
}
})
require(['message'], function(message) {
var data = {
repos : ['a', 'b', 'c'],
labels: ['d', 'e', 'f'],
milestones : ['g', 'h', 'i'],
username : 'jgb'
}
var request = new message.arguments(data);
// Convert request data to base64
var base64String = request.toBase64();
console.log(base64String);
// Convert base64 back
var decodedRequest = message.arguments.decode64(base64String);
console.log(decodedRequest);
});
// Protobuf message definition
// Message definition could also be stored in a .proto definition file
// See: https://github.com/dcodeIO/ProtoBuf.js/wiki
define('message', ['ProtoBuf'], function(ProtoBuf) {
var proto = {
package : 'message',
messages : [
{
name : 'arguments',
fields : [
{
rule : 'repeated',
type : 'string',
name : 'repos',
id : 1
},
{
rule : 'repeated',
type : 'string',
name : 'labels',
id : 2
},
{
rule : 'repeated',
type : 'string',
name : 'milestones',
id : 3
},
{
rule : 'required',
type : 'string',
name : 'username',
id : 4
},
{
rule : 'optional',
type : 'bool',
name : 'with_comments',
id : 5
},
{
rule : 'optional',
type : 'bool',
name : 'without_comments',
id : 6
}
],
}
]
};
return ProtoBuf.loadJson(proto).build('message')
});