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https://github.com/ddeboer/data-import

Import data from and export data to a range of different file formats and media
https://github.com/ddeboer/data-import

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Import data from and export data to a range of different file formats and media

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Ddeboer Data Import library
===========================
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## This library has been renamed to PortPHP and will be deprecated. Please use [PortPHP](https://github.com/portphp) instead.

Introduction
------------
This PHP library offers a way to read data from, and write data to, a range of
file formats and media. Additionally, it includes tools to manipulate your data.

Features
--------

* Read from and write to CSV files, Excel files, databases, and more.
* Convert between charsets, dates, strings and objects on the fly.
* Build reusable and extensible import workflows.
* Decoupled components that you can use on their own, such as a CSV and Excel
reader and writer.
* Well-tested code.

Documentation
-------------
* [Installation](#installation)
* [Usage](#usage)
* [The workflow](#the-workflow)
* [The workflow result](#the-workflow-result)
* [Readers](#readers)
- [ArrayReader](#arrayreader)
- [CsvReader](#csvreader)
- [DbalReader](#dbalreader)
- [DoctrineReader](#doctrinereader)
- [ExcelReader](#excelreader)
- [One To Many Reader](#onetomanyreader)
- [Create a reader](#create-a-reader)
* [Writers](#writers)
- [ArrayWriter](#arraywriter)
- [CsvWriter](#csvwriter)
- [DoctrineWriter](#doctrinewriter)
- [PdoWriter](#pdowriter)
- [ExcelWriter](#excelwriter)
- [ConsoleTableWriter](#consoletablewriter)
- [ConsoleProgressWriter](#consoleprogresswriter)
- [CallbackWriter](#callbackwriter)
- [AbstractStreamWriter](#abstractstreamwriter)
- [StreamMergeWriter](#streammergewriter)
- [Create a writer](#create-a-writer)
* [Filters](#filters)
- [CallbackFilter](#callbackfilter)
- [OffsetFilter](#offsetfilter)
- [DateTimeThresholdFilter](#datetimethresholdfilter)
- [ValidatorFilter](#validatorfilter)
* [Converters](#converters)
- [Item converters](#item-converters)
- [MappingItemConverter](#mappingitemconverter)
- [Create an item converter](#create-an-item-converter)
- [CallbackItemConverter](#callbackitemconverter)
- [Value converters](#value-converters)
- [StringToDateTimeValueConverter](#stringtodatetimevalueconverter)
- [DateTimeToStringValueConverter](#datetimetostringvalueconverter)
- [ObjectConverter](#objectconverter)
- [StringToObjectConverter](#stringtoobjectconverter)
- [ArrayValueConverterMap](#arrayvalueconvertermap)
- [CallbackValueConverter](#callbackvalueconverter)
- [MappingValueConverter](#mappingvalueconverter)
* [Examples](#examples)
- [Import CSV file and write to database](#import-csv-file-and-write-to-database)
- [Export to CSV file](#export-to-csv-file)
* [Running the tests](#running-the-tests)
* [License](#license)

Installation
------------

This library is available on [Packagist](http://packagist.org/packages/ddeboer/data-import).
The recommended way to install it is through [Composer](http://getcomposer.org):

```bash
$ composer require ddeboer/data-import:@stable
```

Then include Composer’s autoloader:

```php
require_once 'vendor/autoload.php';
```

For integration with Symfony2 projects, the [DdeboerDataImportBundle](https://github.com/ddeboer/DdeboerDataImportBundle)
is available.

Usage
-----

Broadly speaking, you can use this library in two ways:

* organize your import process around a [workflow](#the-workflow), or
* use one or more of the components on their own, such as [readers](#readers),
[writers](#writers) or [converters](#converters).

### The workflow

Each data import revolves around the workflow and takes place along the following lines:

1. Construct a [reader](#readers).
2. Construct a workflow and pass the reader to it, optionally pass a logger as second argument.
Add at least one [writer](#writers) to the workflow.
3. Optionally, add [filters](#filters), item converters and
[value converters](#value-converters) to the workflow.
4. Process the workflow. This will read the data from the reader, filter and
convert the data, and write the output to each of the writers. The process method also
returns a `Result` object which contains various information about the import.

In other words, the workflow acts as a [mediator](#http://en.wikipedia.org/wiki/Mediator_pattern)
between a reader and one or more writers, filters and converters.

Optionally you can skip items on failure like this `$workflow->setSkipItemOnFailure(true)`.
Errors will be logged if you have passed a logger to the workflow constructor.

Schematically:

```php
use Ddeboer\DataImport\Workflow;
use Ddeboer\DataImport\Reader;
use Ddeboer\DataImport\Writer;
use Ddeboer\DataImport\Filter;

$reader = new Reader\...;
$workflow = new Workflow($reader, $logger);
$result = $workflow
->addWriter(new Writer\...())
->addWriter(new Writer\...())
->addFilter(new Filter\CallbackFilter(...))
->setSkipItemOnFailure(true)
->process()
;
```
### The workflow Result

The Workflow Result object exposes various methods which you can use to decide what to do after an import.
The result will be an instance of `Ddeboer\DataImport\Result`. It is automatically created and populated by the
`Workflow`. It will be returned to you after calling the `process()` method on the `Workflow`

The `Result` provides the following methods:

```php
//the name of the import - which is an optional 3rd parameter to
//the Workflow class. Returns null by default.
public function getName();

//DateTime instance created at the start of the import.
public function getStartTime();

//DateTime instance created at the end of the import.
public function getEndTime();

//DateInterval instance. Diff off the start + end times.
public function getElapsed();

//Count of exceptions which caught by the Workflow.
public function getErrorCount();

//Count of processed items minus the count of exceptions caught.
public function getSuccessCount();

//Count of items processed
//This will not include any filtered items or items which fail conversion.
public function getTotalProcessedCount();

//bool to indicate whether any exceptions were caught.
public function hasErrors();

//An array of exceptions caught by the Workflow.
public function getExceptions();

```

Example use cases:
* You want to send an e-mail with the results of the import
* You want to send a Text alert if a particular file failed
* You want to move an import file to a failed directory if there were errors
* You want to log how long imports are taking

### Readers

Readers read data that will be imported by iterating over it. This library
includes a handful of readers. Additionally, you can easily
[implement your own](#create-a-reader).

You can use readers on their own, or construct a workflow from them:

```php
$workflow = new Workflow($reader);
```
#### ArrayReader

Reads arrays. Most useful for testing your workflow.

#### CsvReader

Reads CSV files, and is optimized to use as little memory as possible.

```php
use Ddeboer\DataImport\Reader\CsvReader;

$file = new \SplFileObject('/path/to/csv_file.csv');
$reader = new CsvReader($file);
```

Optionally construct with different delimiter, enclosure and/or escape
character:

```php
$reader = new CsvReader($file, ';');
```

Then iterate over the CSV file:

```php
foreach ($reader as $row) {
// $row will be an array containing the comma-separated elements of the line:
// array(
// 0 => 'James',
// 1 => 'Bond'
// etc...
// )
}
```

##### Column headers

If one of your rows contains column headers, you can read them to make the rows
associative arrays:

```php
$reader->setHeaderRowNumber(0);

foreach ($reader as $row) {
// $row will now be an associative array:
// array(
// 'firstName' => 'James',
// 'lastName' => 'Bond'
// etc...
// )
}
```

##### Strict mode

The CSV reader operates in strict mode by default. If the reader encounters a
row where the number of values differs from the number of column headers, an
error is logged and the row is skipped. Retrieve the errors with `getErrors()`.

To disable strict mode, set `$reader->setStrict(false)` after you instantiate
the reader.

Disabling strict mode means:

1. Any rows that contain fewer values than the column headers are simply
padded with null values.
2. Any additional values in a row that contain more values than the
column headers are ignored.

Examples where this is useful:

- **Outlook 2010:** which omits trailing blank values
- **Google Contacts:** which exports more values than there are column headers

##### Duplicate headers

Sometimes a CSV file contains duplicate column headers, for instance:

id | details | details
--- | -------- | --------
1 | bla | more bla

By default, a `DuplicateHeadersException` will be thrown if you call
`setHeaderRowNumber(0)` on this file. You can handle duplicate columns in
one of three ways:
* call `setColumnHeaders(['id', 'details', 'details_2'])` to specify your own
headers
* call `setHeaderRowNumber` with the `CsvReader::DUPLICATE_HEADERS_INCREMENT`
flag to generate incremented headers; in this case: `id`, `details` and
`details1`
* call `setHeaderRowNumber` with the `CsvReader::DUPLICATE_HEADERS_MERGE` flag
to merge duplicate values into arrays; in this case, the first row’s values
will become: `[ 'id' => 1, 'details' => [ 'bla', 'more bla' ] ]`.

#### DbalReader

Reads data through [Doctrine’s DBAL](http://www.doctrine-project.org/projects/dbal.html).
Your project should include Doctrine’s DBAL package:

```bash
$ composer require doctrine/dbal
```

```php
use Ddeboer\DataImport\Reader\DbalReader;

$reader = new DbalReader(
$connection, // Instance of \Doctrine\DBAL\Connection
'SELECT u.id, u.username, g.name FROM `user` u INNER JOIN groups g ON u.group_id = g.id'
);
```

#### DoctrineReader

Reads data through the [Doctrine ORM](http://www.doctrine-project.org/projects/orm.html):

```php
use Ddeboer\DataImport\Reader\DoctrineReader;

$reader = new DoctrineReader($entityManager, 'Your\Namespace\Entity\User');
```

#### ExcelReader

Acts as an adapter for the [PHPExcel library](https://github.com/PHPOffice/PHPExcel). Make sure
to include that library in your project:

```bash
$ composer require phpoffice/phpexcel
```

Then use the reader to open an Excel file:

```php
use Ddeboer\DataImport\Reader\ExcelReader;

$file = new \SplFileObject('path/to/excel_file.xls');
$reader = new ExcelReader($file);
```

To set the row number that headers will be read from, pass a number as the second
argument.

```php
$reader = new ExcelReader($file, 2);
```

To read the specific sheet:

```php
$reader = new ExcelReader($file, null, 3);
```

### OneToManyReader

Allows for merging of two data sources (using existing readers), for example you have one CSV with orders and another with order items.

Imagine two CSV's like the following:

```
OrderId,Price
1,30
2,15
```

```
OrderId,Name
1,"Super Cool Item 1"
1,"Super Cool Item 2"
2,"Super Cool Item 3"
```

You want to associate the items to the order. Using the OneToMany reader we can nest these rows in the order using a key
which you specify in the OneToManyReader.

The code would look something like:

```php
$orderFile = new \SplFileObject("orders.csv");
$orderReader = new CsvReader($file, $orderFile);
$orderReader->setHeaderRowNumber(0);

$orderItemFile = new \SplFileObject("order_items.csv");
$orderItemReader = new CsvReader($file, $orderFile);
$orderItemReader->setHeaderRowNumber(0);

$oneToManyReader = new OneToManyReader($orderReader, $orderItemReader, 'items', 'OrderId', 'OrderId');
```

The third parameter is the key which the order item data will be nested under. This will be an array of order items.
The fourth and fifth parameters are "primary" and "foreign" keys of the data. The OneToMany reader will try to match the data using these keys.
Take for example the CSV's given above, you would expect that Order "1" has the first 2 Order Items associated to it due to their Order Id's also
being "1".

Note: You can omit the last parameter, if both files have the same field. Eg if parameter 4 is 'OrderId' and you don't specify
parameter 5, the reader will look for the foreign key using 'OrderId'

The resulting data will look like:

```php
//Row 1
array(
'OrderId' => 1,
'Price' => 30,
'items' => array(
array(
'OrderId' => 1,
'Name' => 'Super Cool Item 1',
),
array(
'OrderId' => 1,
'Name' => 'Super Cool Item 2',
),
),
);

//Row2
array(
'OrderId' => 2,
'Price' => 15,
'items' => array(
array(
'OrderId' => 2,
'Name' => 'Super Cool Item 1',
),
)
);
```

#### Create a reader

You can create your own data reader by implementing the
[Reader Interface](/src/Reader.php).

### Writers

#### ArrayWriter

Resembles the [ArrayReader](#arrayreader). Probably most useful for testing
your workflow.

#### CsvWriter

Writes CSV files:

```php
use Ddeboer\DataImport\Writer\CsvWriter;

$writer = new CsvWriter();
$writer->setStream(fopen('output.csv', 'w'));

// Write column headers:
$writer->writeItem(array('first', 'last'));

$writer
->writeItem(array('James', 'Bond'))
->writeItem(array('Auric', 'Goldfinger'))
->finish();
```

#### DoctrineWriter

Writes data through Doctrine:

```php
use Ddeboer\DataImport\Writer\DoctrineWriter;

$writer = new DoctrineWriter($entityManager, 'YourNamespace:Employee');
$writer
->prepare()
->writeItem(
array(
'first' => 'James',
'last' => 'Bond'
)
)
->finish();
```

By default, DoctrineWriter will truncate your data before running the workflow.
Call `disableTruncate()` if you don't want this.

If you are not truncating data, DoctrineWriter will try to find an entity having it's primary key set to the value of
the first column of the item. If it finds one, the entity will be updated, otherwise it's inserted.
You can tell DoctrineWriter to lookup the entity using different columns of your item by passing a third parameter to
it's constructor.

```php
$writer = new DoctrineWriter($entityManager, 'YourNamespace:Employee', 'columnName');
```

or

```php
$writer = new DoctrineWriter($entityManager, 'YourNamespace:Employee', array('column1', 'column2', 'column3'));
```

The DoctrineWriter will also search out associations automatically and link them by an entity reference. For example
suppose you have a Product entity that you are importing and must be associated to a Category. If there is a field in
the import file named 'Category' with an id, the writer will use metadata to get the association class and create a
reference so that it can be associated properly. The DoctrineWriter will skip any association fields that are already
objects in cases where a converter was used to retrieve the association.

#### PdoWriter

Use the PDO writer for importing data into a relational database (such as
MySQL, SQLite or MS SQL) without using Doctrine.

```php
use Ddeboer\DataImport\Writer\PdoWriter;

$pdo = new \PDO('sqlite::memory:');
$pdo->setAttribute(\PDO::ATTR_ERRMODE, \PDO::ERRMODE_EXCEPTION);

$writer = new PdoWriter($pdo, 'my_table');
```

#### ExcelWriter

Writes data to an Excel file. It requires the PHPExcel package:

```bash
$ composer require phpoffice/phpexcel
```

```php
use Ddeboer\DataImport\Writer\ExcelWriter;

$file = new \SplFileObject('data.xlsx', 'w');
$writer = new ExcelWriter($file);

$writer
->prepare()
->writeItem(array('first', 'last'))
->writeItem(array('first' => 'James', 'last' => 'Bond'))
->finish();
```

You can specify the name of the sheet to write to:

```php
$writer = new ExcelWriter($file, 'My sheet');
```

You can open an already existing file and add a sheet to it:

```php
$file = new \SplFileObject('data.xlsx', 'a'); // Open file with append mode
$writer = new ExcelWriter($file, 'New sheet');
```

If you wish to overwrite an existing sheet instead, specify the name of the
existing sheet:

```php
$writer = new ExcelWriter($file, 'Old sheet');
```
#### ConsoleTableWriter

This writer displays items as table on console output for debug purposes
when you start the workflow from the command-line.
It requires Symfony’s Console component 2.5 or higher:

```bash
$ composer require symfony/console ~2.5
```

```php
use Ddeboer\DataImport\Reader;
use Ddeboer\DataImport\Writer\ConsoleTableWriter;
use Symfony\Component\Console\Output\ConsoleOutput;
use Symfony\Component\Console\Helper\Table;

$reader = new Reader\...;
$output = new ConsoleOutput(...);

$table = new Table($output);

// Make some manipulations, e.g. set table style
$table->setStyle('compact');

$workflow = new Workflow($reader);
$workflow->addWriter(new ConsoleTableWriter($output, $table));

```

#### ConsoleProgressWriter

This writer displays import progress when you start the workflow from the
command-line. It requires Symfony’s Console component:

```bash
$ composer require symfony/console
```

```php
use Ddeboer\DataImport\Writer\ConsoleProgressWriter;
use Symfony\Component\Console\Output\ConsoleOutput;

$output = new ConsoleOutput(...);
$progressWriter = new ConsoleProgressWriter($output, $reader);

// Most useful when added to a workflow
$workflow->addWriter($progressWriter);

```

There are various optional arguments you can pass to the `ConsoleProgressWriter`. These include the output format and
the redraw frequency. You can read more about the options [here](http://symfony.com/doc/current/components/console/helpers/progressbar.html).

You might want to set the redraw rate higher than the default as it can slow down the import/export process quite a bit
as it will update the console text after every record has been processed by the `Workflow`.

```php
$output = new ConsoleOutput(...);
$progressWriter = new ConsoleProgressWriter($output, $reader, 'debug', 100);
```

Above we set the output format to 'debug' and the redraw rate to 100. This will only re-draw the console progress text
after every 100 records.

The `debug` format is default as it displays ETA's and Memory Usage. You can use a more simple formatter if you wish:

```php
$output = new ConsoleOutput(...);
$progressWriter = new ConsoleProgressWriter($output, $reader, 'normal', 100);
```

#### CallbackWriter

Instead of implementing your own writer, you can use the quick solution the
CallbackWriter offers:

```php
use Ddeboer\DataImport\Writer\CallbackWriter;

$workflow->addWriter(new CallbackWriter(function ($row) use ($storage) {
$storage->store($row);
}));
```
#### AbstractStreamWriter

Instead of implementing your own writer from scratch, you can use AbstractStreamWriter as a basis,
implemented the ```writeItem``` method and you're done:

```php
use Ddeboer\DataImport\Writer\AbstractStreamWriter;

class MyStreamWriter extends AbstractStreamWriter
{
public function writeItem(array $item)
{
fputs($this->getStream(), implode(',', $item));
}
}

$writer = new MyStreamWriter(fopen('php://temp', 'r+'));
$writer->setCloseStreamOnFinish(false);

$workflow->addWriter(new MyStreamWriter());
$workflow->process();

$stream = $writer->getStream();
rewind($stream);

echo stream_get_contents($stream);
```

#### StreamMergeWriter

Suppose you have 2 stream writers handling fields differently according to one of the fields.
You should then use ```StreamMergeWriter``` to call the appropriate Writer for you.

The default field name is ```discr``` but could be changed with the ```setDiscriminantField()``` method.

```php
use Ddeboer\DataImport\Writer\StreamMergeWriter;

$writer = new StreamMergeWriter();

$writer->addWriter('first writer', new MyStreamWriter());
$writer->addWriter('second writer', new MyStreamWriter());
```

#### Create a writer

Build your own writer by implementing the
[Writer Interface](/src/Writer.php).

### Filters

A filter decides whether data input is accepted into the import process.

#### CallbackFilter

The CallbackFilter wraps your callback function that determines whether
data should be accepted. The data input is accepted only if the function
returns `true`.

```php
use Ddeboer\DataImport\Filter\CallbackFilter;

// Don’t import The Beatles
$filter = new CallbackFilter(function ($data) {
return ('The Beatles' != $data['name']);
});

$workflow->addFilter($filter);
```

#### OffsetFilter

OffsetFilter allows you to

* skip a certain amount of items from the beginning
* process only specified amount of items (and skip the rest)

You can combine these two parameters to process a slice from the middle of the
data, like rows 5-7 of a CSV file with ten rows.

OffsetFilter is configured by its constructor:
`new OffsetFilter($offset = 0, $limit = null)`. Note: `$offset` is a 0-based index.

```php
use Ddeboer\DataImport\Filter\OffsetFilter;

// Default implementation is to start from the beginning without maximum count
$filter = new OffsetFilter(0, null);
$filter = new OffsetFilter(); // You can omit both parameters

// Start from the third item, process to the end
$filter = new OffsetFilter(2, null);
$filter = new OffsetFilter(2); // You can omit the second parameter

// Start from the first item, process max three items
$filter = new OffsetFilter(0, 3);

// Start from the third item, process max five items (items 3 - 7)
$filter = new OffsetFilter(2, 5);
```

#### DateTimeThresholdFilter

This filter is useful if you want to do incremental imports. Specify a threshold
`DateTime` instance, a column name (defaults to `updated_at`), and a
`DateTimeValueConverter` that will be used to convert values read from the
filtered items. The item strictly older than the threshold will be discarded.

```php
use Ddeboer\DataImport\Filter\DateTimeThresholdFilter;
use Ddeboer\DataImport\ValueConverter\DateTimeValueConverter;

new DateTimeThresholdFilter(
new DateTimeValueConverter(),
new \DateTime('yesterday')
);
```

#### ValidatorFilter

It’s a common use case to validate the data before you save it to the database.
This is exactly what the ValidatorFilter does. To use it, include Symfony’s
Validator component in your project:

```bash
$ compose require symfony/validator
```

The ValidatorFilter works as follows:

```php
use Ddeboer\DataImport\Filter\ValidatorFilter;

$filter = new ValidatorFilter($validator);
$filter->add('email', new Assert\Email());
$filter->add('sku', new Assert\NotBlank());
```

The default behaviour for the validator is to collect all violations and skip
each invalid row. If you want to stop on the first failing row you can call
`ValidatorFilter::throwExceptions()`, which throws a
[ValidationException](/src/Ddeboer/DataImport/Exception/ValidationException.php)
containing the line number and the violation list.

### Item converters

#### MappingItemConverter

Use the MappingItemConverter to add mappings to your workflow. Your keys from
the input data will be renamed according to these mappings. Say you have input data:

```php
$data = array(
array(
'foo' => 'bar',
'baz' => array(
'some' => 'value'
)
)
);
```

You can map the keys `foo` and `baz` in the following way:

```php

use Ddeboer\DataImport\ItemConverter\MappingItemConverter;

$converter = new MappingItemConverter();
$converter
->addMapping('foo', 'fooloo')
->addMapping('baz', array('some' => 'else'));

$workflow->addItemConverter($converter)
->process();
```

Your output data will now be:

```php
array(
array(
'fooloo' => 'bar',
'baz' => array(
'else' => 'value'
)
)
);
```

#### NestedMappingItemConverter
Use the NestedMappingItemConverter to add mappings to your workflow if the input data contains nested arrays. Your keys from
the input data will be renamed according to these mappings. Say you have input data:

```php
$data = array(
'foo' => 'bar',
'baz' => array(
array(
'another' => 'thing'
),
array(
'another' => 'thing2'
),
)
);
```

You can map the keys `another` in the following way.

```php
use Ddeboer\DataImport\ItemConverter\NestedMappingItemConverter;

$mappings = array(
'foo' => 'foobar',
'baz' => array(
'another' => 'different_thing'
)
);

$converter = new NestedItemMappingConverter('baz');
$converter->addMapping($mappings);

$workflow->addItemConverter($converter)
->process();
```

Your output data will now be:
```php
array(
'foobar' => 'bar',
'baz' => array(
array(
'different_thing' => 'thing'
),
array(
'different_thing' => 'thing2'
),
)
);
```

#### Create an item converter

Implement `ItemConverterInterface` to create your own item converter:

```php
use Ddeboer\DataImport\ItemConverter\ItemConverterInterface;

class MyItemConverter implements ItemConverterInterface
{
public function convert($item)
{
// Do your conversion and return updated $item
return $changedItem;
}
}
```

#### CallbackItemConverter

Instead of implementing your own item converter, you can use a callback:

```php
use Ddeboer\DataImport\ItemConverter\CallbackItemConverter;

// Use a fictional $translator service to translate each value
$converter = new CallbackItemConverter(function ($item) use ($translator) {
foreach ($item as $key => $value) {
$item[$key] = $translator->translate($value);
}

return $item;
});
```

### Value converters

Value converters are used to convert specific fields (e.g., columns in database).

#### DateTimeValueConverter

There are two uses for the DateTimeValueConverter:

1. Convert a date representation in a format you specify into a `DateTime` object.
2. Convert a date representation in a format you specify into a different format.

##### Convert a date into a `DateTime` object.

```php
use Ddeboer\DataImport\ValueConverter\DateTimeValueConverter;

$converter = new DateTimeValueConverter('d/m/Y H:i:s');
$workflow->addValueConverter('my_date_field', $converter);
```

If your date string is in a format specified at: http://www.php.net/manual/en/datetime.formats.date.php then you can omit the format parameter.

```php
use Ddeboer\DataImport\ValueConverter\DateTimeValueConverter;

$converter = new DateTimeValueConverter();
$workflow->addValueConverter('my_date_field', $converter);
```

##### Convert a date string into a differently formatted date string.

```php
use Ddeboer\DataImport\ValueConverter\DateTimeValueConverter;

$converter = new DateTimeValueConverter('d/m/Y H:i:s', 'd-M-Y');
$workflow->addValueConverter('my_date_field', $converter);
```

If your date is in a format specified at: http://www.php.net/manual/en/datetime.formats.date.php you can pass `null` as the first argument.

```php
use Ddeboer\DataImport\ValueConverter\DateTimeValueConverter;

$converter = new DateTimeValueConverter(null, 'd-M-Y');
$workflow->addValueConverter('my_date_field', $converter);
```

#### DateTimeToStringValueConverter

The main use of DateTimeToStringValueConverter is to convert DateTime object into it's string representation in proper format.
Default format is 'Y-m-d H:i:s';

```php
use Ddeboer\DataImport\ValueConverter\DateTimeToStringValueConverter;

$converter = new DateTimeToStringValueConverter;
$converter->convert(\DateTime('2010-01-01 01:00:00')); //will return string '2010-01-01 01:00:00'
```

#### ObjectConverter

Converts an object into a scalar value. To use this converter, you must include
Symfony’s PropertyAccess component in your project:

```bash
$ composer require symfony/property-access
```

##### Using __toString()

If your object has a `__toString()` method, that value will be used:

```php
use Ddeboer\DataImport\ValueConverter\ObjectConverter;

class SecretAgent
{
public function __toString()
{
return '007';
}
}

$converter = new ObjectConverter();
$string = $converter->convert(new SecretAgent()); // $string will be '007'
```

##### Using object accessors

If your object has no `__toString()` method, its accessors will be called
instead:

```php
class Villain
{
public function getName()
{
return 'Bad Guy';
}
}

class Organization
{
public function getVillain()
{
return new Villain();
}
}

use Ddeboer\DataImport\ValueConverter\ObjectConverter;

$converter = new ObjectConverter('villain.name');
$string = $converter->convert(new Organization()); // $string will be 'Bad Guy'
```

#### StringToObjectConverter

Looks up an object in the database based on a string value:

```php
use Ddeboer\DataImport\ValueConverter\StringToObjectConverter;

$converter = new StringToObjectConverter($repository, 'name');
$workflow->addValueConverter('input_name', $converter);
```

#### CallbackValueConverter

Use this if you want to save the trouble of writing a dedicating class:

```php
use Ddeboer\DataImport\ValueConverter\CallbackValueConverter;

$callable = function ($item) {
return implode(',', $item);
};

$converter = new CallbackValueConverter($callable);
$output = $converter->convert(array('foo', 'bar')); // $output will be "foo,bar"
```

#### MappingValueConverter

Looks for a key in a hash you must provide in the constructor:

```php
use Ddeboer\DataImport\ValueConverter\MappingValueConverter;

$converter = new MappingValueConverter(array(
'source' => 'destination'
));

$converter->convert('source'); // destination
$converter->convert('unexpected value'); // throws an UnexpectedValueException
```

### Examples

#### Import CSV file and write to database

This example shows how you can read data from a CSV file and write that to the
database.

Assume we have the following CSV file:

```csv
event;beginDate;endDate
Christmas;20131225;20131226
New Year;20131231;20140101
```

And we want to write this data to a Doctrine entity:

```php
namespace MyApp;

use Doctrine\ORM\Mapping as ORM;

/**
* @ORM\Entity
*/
class Event
{
/**
* @ORM\Column()
*/
protected $event;

/**
* @ORM\Column(type="datetime")
*/
protected $beginDate;

/**
* @ORM\Column(type="datetime")
*/
protected $endDate;

public function setEvent($event)
{
$this->event = $event;
}

public function setBeginDate($date)
{
$this->beginDate = $date;
}

public function setEndDate($date)
{
$this->endDate = $date;
}

// And some getters
}
```

Then you can import the CSV and save it as your entity in the following way.

```php
use Ddeboer\DataImport\Workflow;
use Ddeboer\DataImport\Reader\CsvReader;
use Ddeboer\DataImport\Writer\DoctrineWriter;
use Ddeboer\DataImport\ValueConverter\StringToDateTimeValueConverter;

// Create and configure the reader
$file = new \SplFileObject('input.csv');
$csvReader = new CsvReader($file);

// Tell the reader that the first row in the CSV file contains column headers
$csvReader->setHeaderRowNumber(0);

// Create the workflow from the reader
$workflow = new Workflow($csvReader);

// Create a writer: you need Doctrine’s EntityManager.
$doctrineWriter = new DoctrineWriter($entityManager, 'MyApp:Event');
$workflow->addWriter($doctrineWriter);

// Add a converter to the workflow that will convert `beginDate` and `endDate`
// to \DateTime objects
$dateTimeConverter = new StringToDateTimeValueConverter('Ymd');
$workflow
->addValueConverter('beginDate', $dateTimeConverter)
->addValueConverter('endDate', $dateTimeConverter);

// Process the workflow
$workflow->process();
```

#### Export to CSV file

This example shows how you can export data to a CSV file.

```php
use Ddeboer\DataImport\Workflow;
use Ddeboer\DataImport\Reader\ArrayReader;
use Ddeboer\DataImport\Writer\CsvWriter;
use Ddeboer\DataImport\ValueConverter\CallbackValueConverter;

// Your input data
$reader = new ArrayReader(array(
array(
'first', // This is for the CSV header
'last',
array(
'first' => 'james',
'last' => 'Bond'
),
array(
'first' => 'hugo',
'last' => 'Drax'
)
))
);

// Create the workflow from the reader
$workflow = new Workflow($reader);

// Add the writer to the workflow
$file = new \SplFileObject('output.csv', 'w');
$writer = new CsvWriter($file);
$workflow->addWriter($writer);

// As you can see, the first names are not capitalized correctly. Let's fix
// that with a value converter:
$converter = new CallbackValueConverter(function ($input) {
return ucfirst($input);
});
$workflow->addValueConverter('first', $converter);

// Process the workflow
$workflow->process();
```

This will write a CSV file `output.csv` where the first names are capitalized:

```csv
first;last
James;Bond
Hugo;Drax
```

ArrayValueConverterMap
----------------------

The ArrayValueConverterMap is used to filter values of a multi-level array.

The converters defined in the list are applied on every data-item's value that match the defined array_keys.

```php
//...
$data = array(
'products' => array(
0 => array(
'name' => 'some name',
'price' => '€12,16',
),
1 => array(
'name' => 'some name',
'price' => '€12,16',
)
)
);

// ...
// create the workflow and reader etc.
// ...

$workflow->addValueConverter(new ArrayValueConverterMap(array(
'name' => array(new CharsetValueConverter('UTF-8', 'UTF-16')), // encode to UTF-8
'price' => array(new CallbackValueConverter(function ($input) {
return str_replace('€', '', $input); // remove € char
}),
)));

// ..
// after filtering data looks as follows
$data = array(
'products' => array(
0 => array(
'name' => 'some name', // in UTF-8
'price' => '12,16',
),
1 => array(
'name' => 'some name',
'price' => '12,16',
)
)
);
```

Running the tests
-----------------

Clone this repository:

```bash
$ git clone https://github.com/ddeboer/data-import.git
$ cd data-import
```

Install dev dependencies:

```bash
$ composer install --dev
```

And run PHPUnit:

```bash
$ phpunit
```

License
-------

DataImport is released under the MIT license. See the [LICENSE](LICENSE) file for details.