Constraint Builders
The package provides two (2) convenient ways to query the Reader
and the ResultSet
instances. They
can be used to perform manipulation independently of the instance giving you more controls over
which records you want to access from your input document.
Statement
The first mechanism is the League\Csv\Statement
class which is a constraint builder that more or less
mimic the behaviour of query builders in the database world. It can filter, order and limit the records
to be shown. It does so by adding and combining constraints. Once the constraint is built, it will
process your input and always return a ResultSet instance. Of note, the resulting constraint
can be applied on multiple documents as the instance is immutable and completely independent of
the input.
Retrieving all the rows
To start using the Statement
class you should use the create
method. It returns a valid instance
ready to already process your document or on which you can add more constraints. Because the
Statement
object is immutable, each time its constraint methods are called they will
return a new Statement
object without modifying the current Statement
object.
Once your constraint is ready to be used, use its process
method on a TabularDataReader
class.
use League\Csv\Reader;
use League\Csv\Statement;
$reader = Reader::createFromPath('/path/to/file.csv');
$records = Statement::create()->process($reader);
// $records is a League\Csv\ResultSet instance
The process
method returns a new TabularDataReader
on which each constraint have been applied.
If no constraint has been added the return object will contain the same data as its input.
Where clauses
To filter the records from your input you may use the where
method. The method can be
called multiple time and each time it will add another constraint filter. This option
follows the First In First Out rule. The filter excepts a callable with the following
signature:
function(array $record, string|int $key): bool;
If you omit the $key
argument, the callable is similar to the one used by array_filter
.
For example the following filter will remove all the records whose 3rd
field does not
contain a valid email
:
use League\Csv\Reader;
use League\Csv\Statement;
$reader = Reader::createFromPath('/path/to/file.csv');
$records = Statement::create()
->where(fn (array $record): bool => false !== filter_var($record[2] ?? '', FILTER_VALIDATE_EMAIL))
->process($reader);
// $records is a League\Csv\ResultSet instance
To ease the Statement::where
usage the following methods are introduced: andWhere
, whereNot
, orWhere
and xorWhere
;
These methods are used to filter the record based on their columns value. Instead of using a callable, the methods require three (3) arguments. The first argument is the column to filter on. It can be as a string (the column name, if it exists) or an integer (the column offset, negative indexes are supported). The second argument is a valid comparison operator in a case-insensitive way. The third argument is the value you want to compare the column value with.
As an example the Statement
instance below will select the records whose 2nd cell value
is the integer 10
or where the birthdate
column contains a date string representation
that match the submitted regular expression.
use League\Csv\Reader;
use League\Csv\Statement;
$reader = Reader::createFromPath('/path/to/file.csv');
$records = Statement::create()
->andWhere(1, '=', '10') //filtering is done of the second column
->orWhere('birthdate', 'regexp', '/\d{1,2}\/\d{1,2}\/\d{2,4}/') //filtering is done on the `birthdate` column
->whereNot('firstname', 'starts_with', 'P') //filtering is done case-sensitively on the first character of the column value
->process($reader);
// $records is a League\Csv\ResultSet instance
The methods support the basic comparison operators using their strict version in PHP:
- equals:
=
orEQ
,IS
, orEQUAL
; - not equals:
!=
,<>
,NEQ
,IS NOT
orNOT EQUAL
; - greater than:
>
,GT
orGREATER THAN
; - greater than or equal:
>=
,GTE
orGREATER THAN OR EQUAL
; - lesser than:
>
,LT
orLESSER THAN
; - lesser than or equal:
>=
,LTE
orLESSER THAN OR EQUAL
;
The following parameter can only be used if the submitted value is an array
as PHP’s in_array
function is used for comparison. If the value to compare
is a scalar value or null
, in_array
is used on strict mode otherwise the
comparison is relaxed.
- in:
IN
; - not in:
NIN
;
use League\Csv\Statement;
$constraints = Statement::create()->orWhere('direction', 'not in', ['east', 'north']);
The following parameter can only be used if the submitted value is a tuple
represented as a PHP’s array
as a list where the first argument represents
the range minimal value and the second argument, the range maximal value.
- between:
BETWEEN
; - not between:
NBETWEEN
,NOT_BETWEEN
orNOT BETWEEN
;
use League\Csv\Statement;
$constraints = Statement::create()->andWhere('points', 'between', [3, 5]);
The following parameters can only be used if the submitted value and the column value are string
.
- contains:
CONTAINS
; - does not contain:
NCONTAIN
,NOT_CONTAIN
,NOT CONTAIN
,DOES NOT CONTAIN
; - starts with:
STARTS_WITH
; - end with:
ENDS_WITH
; - regexp:
REGEXP
; - not regexp:
NREGEXP
,NOT_REGEXP
,NOT REGEXP
;
Internally they use one of the following PHP’s function str_contains
, str_starts_with
,
str_ends_wtih
or preg_match
.
- All operators can be written in a case-insensitive way.
- If the operator is unknown or invalid, a
StatementError
exception will be triggered. - If the specified column could not be found during process an
StatementError
exception is triggered; - If the
value
is incorrect according to the operator constraints anInvalidArgument
exception will be triggered.
For complex constraints you can, instead of specifying an simple operator, choose to specificy a callback. In that case the callback method will be evaluated with the value of the specified column.
use League\Csv\Reader;
use League\Csv\Statement;
$curDate = new DateTimeImmutable();
$reader = Reader::createFromPath('/path/to/file.csv');
$records = Statement::create()
->andWhere(1, '=', '10') //filtering is done of the second column
->orWhere('birthdate', fn (string $value): bool => DateTimeImmutable::createFromFormat('Y-m-d', $value) < $curDate) //filtering is done on the `birthdate` column
->whereNot('firstname', 'starts_with', 'P') //filtering is done case-sensitively on the first character of the column value
->process($reader);
// $records is a League\Csv\ResultSet instance
To enable comparing two columns with each other the following methods are also added:
andWhereColumn
, whereNotColumn
, orWhereColumn
and xorWhereColumn
The only distinction with their value counterparts is in the third argument. Instead of specifying a value, it specifies another column (via its string name or integer name) to compare columns with each other.
use League\Csv\Reader;
use League\Csv\Statement;
$reader = Reader::createFromPath('/path/to/file.csv');
$records = Statement::create()
->andWhereColumn('created_at', '<', 'update_at') //filtering is done on both column value
->whereNotColumn('fullname', 'starts_with', 4) //filtering is done on both column but the second column is specified via its offset
->process($reader);
// $records is a League\Csv\ResultSet instance
For complex constraints you can, instead of specifying an simple operator, choose to specificy a callback. In that case the callback method will be evaluated with the value of both columns.
use League\Csv\Reader;
use League\Csv\Statement;
$reader = Reader::createFromPath('/path/to/file.csv');
$records = Statement::create()
->andWhereColumn('created_at', '<', 'update_at') //filtering is done on both column value
->andWhereOffset(
'fullname',
fn (string $valuefirst, string $valueSecond): bool => strlen($valuefirst) != strlen($valueSecond),
4
)
->process($reader);
To enable comparison around the record offset the following methods are also added:
andWhereOffset
, whereNotOffset
, orWhereOffset
and xorWhereOffset
The method will only interact with the record offset as such you can only design an operator and the value with which you want to campare the offset with.
use League\Csv\Reader;
use League\Csv\Statement;
$reader = Reader::createFromPath('/path/to/file.csv');
$records = Statement::create()
->andWhereOffset('<', 100) //filtering is done on the offset value only
->process($reader);
// $records is a League\Csv\ResultSet instance
For complex constraint you can, instead of specifying an operator and a value, choose to only specificy a callback. In that case the callback method will be evaluated with the value of the column and/or of its offset.
use League\Csv\Reader;
use League\Csv\Statement;
$reader = Reader::createFromPath('/path/to/file.csv');
$records = Statement::create()
->andWhereOffset(fn (string|int $value): bool => fmod((float) $value, 2) == 0)
// filtering is done on the record offset value
// records are kept only if the value is even.
->process($reader);
For more complex queries you can use the classes and Enums defined under the League\Csv\Query
namespace.
They are used internally by the Statement
class to implement all the new where
methods and can be
used independently to help create your own where expression as shown in the following example:
use League\Csv\Query;
$data = [
['volume' => 67, 'edition' => 2],
['volume' => 86, 'edition' => 1],
['volume' => 85, 'edition' => 6],
['volume' => 98, 'edition' => 2],
['volume' => 86, 'edition' => 6],
['volume' => 67, 'edition' => 7],
];
$criteria = Query\Constraint\Criteria::xany(
Query\Constraint\Column::filterOn('volume', 'gt', 80),
fn (mixed $record, int|string $key) => Query\Row::from($record)->field('edition') < 6
);
$filteredData = array_filter($data, $criteria, ARRAY_FILTER_USE_BOTH));
//Filtering an array using the XOR logical operator
As shown in the example the Criteria
class also combines Closure
conditions, which means
that you can use a callable whose signature matches the one use for the where
method.
Ordering
The orderBy
method allows you to sort the results of the applied constraints. Just like
with filtering the method can be called multiple and the First In First Out rule is
also applied. The callable accepted is similar to the one used by the usort
function.
As an example let’s order the records according to the lastname found on the records.
use League\Csv\Query;
use League\Csv\Reader;
use League\Csv\Statement;
$reader = Reader::createFromPath('/path/to/file.csv');
$records = Statement::create()
->orderBy(fn (mixed $rA, mixed $rB): int => strcmp(Query\Row::from($rB)->field(1) ?? '', Query\Row::from($rA)->field(1) ?? '')))
->process($reader);
// $records is a League\Csv\ResultSet instance
The orderByAsc
and orderByDesc
methods are simpler version of the orderBy
method.
Instead of requiring a callable, it requires 2 arguments, the tabular data column to
sort the document with. It can be as a string (the column name, if it exists) or an
integer (the column offset, negative indexes are supported). And an optional
callback to improve sorting results if needed. If no callback sorting algorithn is
given, sorting is done using the <=>
spaceship operator. A sorting callback is
a Closure
that can be used with PHP’s usort
or uasort
method.
use League\Csv\Reader;
use League\Csv\Statement;
$reader = Reader::createFromPath('/path/to/file.csv');
$records = Statement::create()
->orderByDesc(1) //descending order according to the data of the 2nd column
->orderByAsc('foo', strcmp(...)) //ascending order according a callback compare function
->process($reader);
// $records is a League\Csv\ResultSet instance
if you need to create more complex ordering you may align calls to orderByAsc
and orderByDesc
or
use the orderBy
method with the classes defined under the League\Csv\Query
namespace as shown below:
use League\Csv\Query;
use League\Csv\Reader;
use League\Csv\Statement;
$sort = Query\Ordering\MultiSort::all(
Query\Ordering\Column::sortBy(1, 'desc'),
Query\Ordering\Column::sortBy('foo', 'asc', strcmp(...)),
);
$reader = Reader::createFromPath('/path/to/file.csv');
$records = Statement::create()->orderBy($sort)->process($reader);
// Will return the same content as in the previous example.
Limit and Offset
You can use the limit
and offset
methods to limit the number of records returned. When called more than once,
only the last filtering setting will be taken into account. The offset
specifies an optional offset for
the returned data. By default, if no offset is provided the offset equals 0
. On the other hand, the
limit
method specifies an optional maximum records count for the returned data. By default, if
no limit is provided the limit equals -1
, which translates to all records. We can for instance
limit the number of records to at most 5
starting from the 10
th found record.
use League\Csv\Reader;
use League\Csv\Statement;
$reader = Reader::createFromPath('/path/to/file.csv');
$records = Statement::create()
->limit(5)
->offset(9)
->process($reader);
// $records is a League\Csv\ResultSet instance
Selecting columns
You may not always want to select all columns from the tabular data. Using the select
method,
you can specify which columns to use. The column can be specified by their name, if the instance
getHeader
returns a non-empty array, or you can default to using the column offset. You
can even mix them both.
use League\Csv\Reader;
use League\Csv\Statement;
$reader = Reader::createFromPath('/path/to/file.csv');
$records = Statement::create()
->select(1, 3, 'field')
->process($reader);
// $records is a League\Csv\ResultSet instance with only 3 fields
While we explain each method separately it is understood that you could use them all together to query your CSV document as you want like in the following example.
use League\Csv\Reader;
use League\Csv\Statement;
$constraints = Statement::create()
->select('Integer', 'Text', 'Date and Time')
->andWhere('Float', '<', 1.3)
->orderByDesc('Integer')
->offset(2)
->limit(5);
$document = <<<CSV
Integer,Float,Text,Multiline Text,Date and Time
1,1.11,Foo,"Foo
Bar",2020-01-01 01:01:01
2,1.22,Bar,"Bar
Baz",2020-02-02 02:02:02
3,1.33,Baz,"Baz
Foo",2020-03-03 03:03:03
CSV;
$csv = Reader::createFromString($document);
$csv->setHeaderOffset(0);
$csv->addFormatter(fn (array $record) => [...$record, ...['Float' => (float) $record['Float'], 'Integer' => (int) $record['Integer']]])
$records = $constraints->process($csv);
//returns a ResultSet containing records which validate all the constraints.
Since a Statement
instance is independent of the CSV document you can re-use it on different CSV
documents or TabularDataReader
instances if needed.
FragmentFinder
The second mechanism is based on RFC7111 and allow selecting part of your document according to its rows, columns or cells coordinates. The RFC, and thus, our class assume that your data is column size consistent and, in absence of a specified header, it will use the first record as reference to determine the input number of columns.
The RFC defines three (3) types of selections and the FragmentFinder
class supports them all.
You can select part of your data according to:
- its row index using an expression that starts with the
row
keyword; - its column index using an expression that starts with the
col
keyword; - its cell coordinates using an expression that starts with the
cell
keyword;
Here are some selection example:
col=5
: will select the column4
;col=5-7
: will select the columns4
to6
included;row=5-*
: will select all the remaining rows of the document starting from the4th
row.cell=5,2-8,9
: will select the cells located between row4
and column1
and row7
and column8
;
Of note, the RFC allows for multiple selections, separated by a ;
. which are translated
as OR
expressions. To strictly cover The RFC the class exposes the find
method
which returns an iterable containing the results of all found fragments as distinct TabulatDataReader
instances.
To restrict the returned values you may use the findFirst
and findFirstOrFail
methods.
Both methods return on success a TabularDataReader
instance. While the first
method
always return the first selection found if it is not empty or null
; firstOrFail
MUST return a non-empty
TabularDataReader
instance or throw. It will also throw if the expression syntax is
invalid while all the other methods just ignore the error.
For example, with the following partially invalid expression:
use League\Csv\Reader;
use League\Csv\FragmentFinder;
$reader = Reader::createFromPath('/path/to/file.csv');
$finder = FragmentFinder::create();
$finder->find('row=7-5;8-9', $reader); // return an Iterator<TabularDataReader>
$finder->findFirst('row=7-5;8-9', $reader); // return an TabularDataReader
$finder->findFirstOrFail('row=7-5;8-9', $reader); // will throw
FragmentFinder::find
returns an Iterator containing a singleTabularDataReader
because the first selection is invalid;FragmentFinder::findFirst
returns the single validTabularDataReader
FragmentFinder::findFirstOrFail
throws aSyntaxError
.
Both classes, FragmentFinder
and Statement
returns an instance that implements the TabularDataReader
interface
which returns the found data in a consistent way.