Data::Sah - Fast and featureful data structure validation
This document describes version 0.901 of Data::Sah (from Perl distribution Data-Sah), released on 2019-08-14.
Non-OO interface:
use Data::Sah qw( normalize_schema gen_validator ); my $v; # generate a validator for schema $v = gen_validator(["int*", min=>1, max=>10]); # validate your data using the generated validator say "valid" if $v->(5); # valid say "valid" if $v->(11); # invalid say "valid" if $v->(undef); # invalid say "valid" if $v->("x"); # invalid # generate validator which reports error message string $v = gen_validator(["int*", min=>1, max=>10], {return_type=>'str', lang=>'id_ID'}); # ditto but the error message will be in Indonesian $v = gen_validator(["int*", min=>1, max=>10], {return_type=>'str', lang=>'id_ID'}); say $v->(5); # '' say $v->(12); # 'Data tidak boleh lebih besar dari 10' # (in English: 'Data must not be larger than 10') # normalize a schema my $nschema = normalize_schema("int*"); # => ["int", {req=>1}, {}] normalize_schema(["int*", min=>0]); # => ["int", {min=>0, req=>1}, {}]
OO interface (more advanced usage):
use Data::Sah; my $sah = Data::Sah->new; # get perl compiler my $pl = $sah->get_compiler("perl"); # compile schema into Perl code my $cd = $pl->compile(schema => ["int*", min=>0]); say $cd->{result};
will print something like:
# req #0 (defined($data)) && # check type 'int' (Scalar::Util::Numeric::isint($data)) && (# clause: min ($data >= 0))
To see the full validator code (with sub {} and all), you can do something like:
sub {}
% LOG_SAH_VALIDATOR_CODE=1 TRACE=1 perl -MLog::ger::LevelFromEnv -MLog::ger::Output=Screen -MData::Sah=gen_validator -E'gen_validator(["int*", min=>0])'
which will print log message like:
normalized schema=['int',{min => 0,req => 1},{}] validator code: 1|do { 2| require Scalar::Util::Numeric; 3| sub { 4| my ($data) = @_; 5| my $_sahv_res = | 7| # req #0 8| (defined($data)) | 10| && | 12| # check type 'int' 13| (Scalar::Util::Numeric::isint($data)) | 15| && | 17| (# clause: min 18| ($data >= 0)); | 20| return($_sahv_res); 21| }}
This distribution, Data-Sah, implements compilers for producing Perl and JavaScript validators, as well as translatable human description text from Sah schemas. Compiler approach is used instead of interpreter for faster speed.
Data-Sah
The generated validator code can run without the Data::Sah::* modules.
Data::Sah::*
Some features are not implemented yet:
def/subschema
expression
obj: meths, attrs properties
.prio, .err_msg, .ok_err_msg attributes
.result_var attribute
BaseType: if, prefilters, postfilters, check, prop, check_prop clauses
HasElems: each_index, check_each_elem, check_each_index, exists clauses
HasElems: len, elems, indices properties
hash: check_each_key, check_each_value, allowed_keys_re, forbidden_keys_re clauses
array: uniq clauses
human compiler: markdown output
$Log_Validator_Code
Data::Sah::Type::* roles specify Sah types, e.g. Data::Sah::Type::bool specifies the bool type. It can also be used to name distributions that introduce new types, e.g. Data-Sah-Type-complex which introduces complex number type.
Data::Sah::Type::bool
Data-Sah-Type-complex
Data::Sah::FuncSet::* roles specify bundles of functions, e.g. <Data::Sah::FuncSet::Core> specifies the core/standard functions.
Data::Sah::Compiler::$LANG:: namespace is for compilers. Each compiler might further contain ::TH::* (type handler) and ::FSH::* (function handler) subnamespaces to implement appropriate functionalities, e.g. Data::Sah::Compiler::perl::TH::bool is the bool type handler for the Perl compiler, Data::Sah::Compiler::perl::FSH::Core is the Core funcset handler for Perl compiler.
::TH::*
::FSH::*
Data::Sah::Coerce::$LANG::$TARGET_TYPE::$SOURCE_TYPE_AND_EXTRA_DESCRIPTION contains coercion rules.
Data::Sah::TypeX::$TYPENAME::$CLAUSENAME namespace can be used to name distributions that extend an existing Sah type by introducing a new clause for it. See Data::Sah::Manual::Extending for an example.
Data::Sah::Lang::$LANGCODE namespaces are for modules that contain translations. They are further organized according to the organization of other Data::Sah modules, e.g. Data::Sah::Lang::en_US::Type::int or Data::Sah::Lang::en_US::TypeX::str::is_palindrome.
Data::Sah::Lang::en_US::TypeX::str::is_palindrome
Sah::Schema:: namespace is reserved for modules that contain bundles of schemas. For example, Sah::Schema::CPANMeta contains the schema to validate CPAN META.yml. Sah::Schema::Int contains various schemas for integers such as pos_int, int8, uint32. Sah::Schema::Sah contains the schema for Sah schema itself.
Sah::Schema::CPANMeta
pos_int
int8
uint32
Sah::SchemaR:: namespace is reserved to store resolved version of schema. For example, Sah::Schema::unix::local_username contains the definition for the schema unix::local_username which is unix::username with some additional coerce rules. unix::username in turn is defined in Sah::Schema::unix::username which is base type str with some clauses like minimum and maximum length as well as regular expression for valid pattern. To find out the base type of a schema (which might be defined based on another schema), one has to perform one to several lookups to Sah::Schema::* modules. A Sah::SchemaR::* module, however, contains the "resolved" version of the definition, so by looking at Sah::SchemaR::unix::local_username one can know that the schema eventually is based on the base type str. See Dist::Zilla::Plugin::Sah::Schemas.
unix::local_username
unix::username
str
Sah::Schema::*
Sah::SchemaR::*
Sah::SchemaV:: namespace is reserved to store generated schema validator code. See Dist::Zilla::Plugin::Rinci::GenValidator.
None exported by default.
Normalize $schema.
$schema
Can also be used as a method.
Generate validator code for $schema. Can also be used as a method. Known options (unknown options will be passed to Perl schema compiler):
accept_ref => BOOL (default: 0)
Normally the generated validator accepts data, as in:
$res = $vdr->($data); $res = $vdr->(42);
If this option is set to true, validator accepts reference to data instead, as in:
$res = $vdr->(\$data);
This allows $data to be modified by the validator (mainly, to set default value specified in schema). For example:
my $data; my $vdr = gen_validator([int => {min=>0, max=>10, default=>5}], {accept_ref=>1}); my $res = $vdr->(\$data); say $res; # => 1 (success) say $data; # => 5
source => BOOL (default: 0)
If set to 1, return source code string instead of compiled subroutine. Usually only needed for debugging (but see also $Log_Validator_Code and LOG_SAH_VALIDATOR_CODE if you want to log validator source code).
LOG_SAH_VALIDATOR_CODE
A mapping of compiler name and compiler (Data::Sah::Compiler::*) objects.
Data::Sah::Compiler::*
Create a new Data::Sah instance.
Get compiler object. Data::Sah::Compiler::$name will be loaded first and instantiated if not already so. After that, the compiler object is cached.
Data::Sah::Compiler::$name
Example:
my $plc = $sah->get_compiler("perl"); # loads Data::Sah::Compiler::perl
Normalize a schema, e.g. change int* into [int => {req=>1}], as well as do some sanity checks on it. Returns the normalized schema if succeeds, or dies on error.
int*
[int => {req=>1}]
Can also be used as a function.
Note: this functionality is implemented in Data::Sah::Normalize (distributed separately in Data-Sah-Normalize). Use that module instead if you just need normalizing schemas, to reduce dependencies.
Normalize a clause set, e.g. change {"!match"=>"abc"} into {"match"=>"abc", "match.op"=>"not"}. Produce a shallow copy of the input clause set hash.
{"!match"=>"abc"}
{"match"=>"abc", "match.op"=>"not"}
Normalize a variable name in expression into its fully qualified/absolute form.
Not yet implemented (pending specification).
For example:
[int => {min => 10, 'max=' => '2*$min'}]
$min in the above expression will be normalized as schema:clauses.min.
schema:clauses.min
Use the Perl compiler to generate validator code. Can also be used as a function. See the documentation as a function for list of known options.
See also Sah::FAQ.
See Sah::FAQ.
You probably do not reuse the compiled schema, e.g. you continually destroy and recreate Data::Sah object, or repeatedly recompile the same schema. To gain the benefit of compilation, you need to keep the compiled result and use the generated Perl code repeatedly.
// if first element is an integer, require the array to contain only integers, // otherwise require the array to contain only strings. ["array", {"min_len": 1, "of=": "[is_int($_[0]) ? 'int':'str']"}]
Currently no, Data::Sah does not support expression on clauses that contain other schemas. In other words, dynamically generated schemas are not supported. To support this, if the generated code needs to run independent of Data::Sah, it needs to contain the compiler code itself (or an interpreter) to compile or evaluate the generated schema.
However, an eval_schema() Sah function which uses Data::Sah can be trivially declared and target the Perl compiler.
eval_schema()
Use the source => 1 option in gen_validator().
source => 1
gen_validator()
If you use the OO interface, e.g.:
# generate perl code my $cd = $plc->compile(schema=>..., ...);
then the generated code is in $cd->{result} and you can just print it.
$cd->{result}
If you generate validator using gen_validator(), you can set environment LOG_SAH_VALIDATOR_CODE or package variable $Log_Validator_Code to true and the generated code will be logged at trace level using Log::ger. The log can be displayed using, e.g., Log::ger::Output::Screen:
% LOG_SAH_VALIDATOR_CODE=1 TRACE=1 \ perl -MLog::ger::LevelFromEnv -MLog::ger::Output=Screen \ -MData::Sah=gen_validator -e '$sub = gen_validator([int => min=>1, max=>10])'
Sample output:
normalized schema=['int',{max => 10,min => 1},{}] schema already normalized, skipped normalization validator code: 1|do { 2| require Scalar::Util::Numeric; 3| sub { 4| my ($data) = @_; 5| my $_sahv_res = | 7| # skip if undef 8| (!defined($data) ? 1 : | 10| (# check type 'int' 11| (Scalar::Util::Numeric::isint($data)) | 13| && | 15| (# clause: min 16| ($data >= 1)) | 18| && | 20| (# clause: max 21| ($data <= 10)))); | 23| return($_sahv_res); 24| }}
Lastly, you can also use validate-with-sah CLI utility from the App::SahUtils distribution (use the --show-code option).
--show-code
Pass the return_type=>"str" to get an error message string on error, or return_type=>"full" to get a hash of detailed error messages. Note also that the error messages are translateable (e.g. use LANG or lang=>... option. For example:
return_type=>"str"
return_type=>"full"
LANG
lang=>...
my $v = gen_validator([int => between => [1,10]], {return_type=>"str"}); say "$_: ", $v->($_) for 1, "x", 12;
will output:
1: "x": Input is not of type integer 12: Must be between 1 and 10
If you pass return_type=>"full" then the generated validator code can return a hashref containing all the errors (in the errors key) and warnings (in the warnings key) instead of just a boolean (when return_type=>"bool") or a string containing the first encountered error message (when return_type=>"str") .
errors
warnings
return_type=>"bool"
If you use return_type=>"full", the generated validator code will also return the input data after the default is filled in or coercion is done in the value key of the result hashref. Or, if you do not need a validator that checks for all errors/warnings, you can use return_type=>"bool+val" or return_type=>"str+val". For example:
value
return_type=>"bool+val"
return_type=>"str+val"
my $v = gen_validator(["date", {"x.perl.coerce_to"=>"DateTime"}], {return_type=>"str+val"}); my ($err, $val) = @{ $v->("2016-05-14") };
The validator will return an error message string (or an empty string if validation succeeds) as well as the final value. In the example above, $val will contain a DateTime object. This is convenient because the final value is what is usually used further after validation process.
$val
@...
It shows the path to data item that fails the validation, e.g.:
my $v = gen_validator([array => of => [int=>min=>5], {return_type=>"str"}); say $v->([10, 5, "x"]);
prints:
@[2]: Input is not of type integer
which means that the third element (subscript 2) of the array fails the validation. Another example:
my $v = gen_validator([array => of => [hash=>keys=>{a=>"int"}]]); say $v->([{}, {a=>1.1}]);
@[1][a]: Input is not of type integer
Note that for validator that returns full result hashref (return_type=>"full") the error messages in the errors key are also keyed with data path, albeit in a slightly different format (i.e. slash-separated, e.g. 2 and 1/a) for easier parsing.
2
1/a
If you are generating Perl code from schema, you can pass debug=>1 option so the code contains logging (Log::ger-based) and other debugging information, which you can display. For example:
debug=>1
% TRACE=1 perl -MLog::ger::LevelFromEnv -MLog::ger::Output=Screen \ -MData::Sah=gen_validator -E' $v = gen_validator([array => of => [hash => {req_keys=>["a"]}]], {return_type=>"str", debug=>1}); say "Validation result: ", $v->([{a=>1}, "x"]);'
... [spath=[]]skip if undef ... [spath=[]]check type 'array' ... [spath=['of']]clause: {"of":["hash",{"req_keys":["a"]}]} ... [spath=['of']]skip if undef ... [spath=['of']]check type 'hash' ... [spath=['of','req_keys']]clause: {"req_keys":["a"]} ... [spath=['of']]skip if undef ... [spath=['of']]check type 'hash' ... Validation result: [spath=of]@1: Input is not of type hash
Data::Sah offers some options in code generation. Beside compiling the validator code into a subroutine, there are also some other options. Examples:
Dist::Zilla::Plugin::Rinci::Validate
This plugin inserts the generated code (without the sub { ... } wrapper) to validate the content of %args right before # VALIDATE_ARG or # VALIDATE_ARGS like below:
sub { ... }
%args
# VALIDATE_ARG
# VALIDATE_ARGS
$SPEC{foo} = { args => { arg1 => { schema => ..., req=>1 }, arg2 => { schema => ... }, }, ... }; sub foo { my %args = @_; # VALIDATE_ARGS }
The schemas will be retrieved from the Rinci metadata ($SPEC{foo} above). This means, subroutines in your built distribution will do argument validation.
$SPEC{foo}
Perinci::Sub::Wrapper
This module is part of the Perinci family. What the module does is basically wrap your subroutine with a wrapper code that can include validation code (among others). This is a convenient way to add argument validation to an existing subroutine/code.
If set to true, will log (using Log::ger, at the trace level) the validator code being generated. See "SYNOPSIS" or "FAQ" for example on how to see this log message.
Please visit the project's homepage at https://metacpan.org/release/Data-Sah.
Source repository is at https://github.com/perlancar/perl-Data-Sah.
Please report any bugs or feature requests on the bugtracker website https://rt.cpan.org/Public/Dist/Display.html?Name=Data-Sah
When submitting a bug or request, please include a test-file or a patch to an existing test-file that illustrates the bug or desired feature.
Params::Validate is very fast, although minimal. Data::Rx, Kwalify, Data::Verifier, Data::Validator, JSON::Schema, Validation::Class.
For Moo/Mouse/Moose stuffs: Moose type system, MooseX::Params::Validate, Type::Tiny, among others.
Form-oriented: Data::FormValidator, FormValidator::Lite, among others.
perlancar <perlancar@cpan.org>
This software is copyright (c) 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012 by perlancar@cpan.org.
This is free software; you can redistribute it and/or modify it under the same terms as the Perl 5 programming language system itself.
To install Data::Sah, copy and paste the appropriate command in to your terminal.
cpanm
cpanm Data::Sah
CPAN shell
perl -MCPAN -e shell install Data::Sah
For more information on module installation, please visit the detailed CPAN module installation guide.