rafsalvioni/zeus-flatrecord
Composer 安装命令:
composer require rafsalvioni/zeus-flatrecord
包简介
A simple and powerful API do manage, parse and generate fixed-length and delimited line records
README 文档
README
Introduction
zeus-flatrecord is a API to create, parse, manage and generate flat records. We call "flat records" a set of structured data stored in one line strings, like CSVs
We can manage these data using a simple OO approach or using associative arrays
The Basics
After all, we need to define the data mapper structure. It is required for parse and generate data lines. This could be do by 2 ways: creating a parser object from scratch or creating a mapper class with special Attributes (like annotations). These Attributes will give the required metadata to create mapper parsers on demand.
Parsers should implements RecordParserInterface. Fields should implements FieldConfigInterface.
Currently, we have 2 pre-defined record types: DelimitedRecord and FixedLengthRecord.
- DelimitedRecord: implements records where its fields are separated using a separator char, like CSV
- FixedLengthRecord: implements records where fields has fixed length of chars. So, each field has a fixed position to begins and ends.
You could do your own record type, if want.
Creating a record mapper from scratch
// Required and uses ommited // Delimited Record example $parser = new DelimitedRecord(); $parser->addField('field1', new IndexedField(0)) ->addField('field2', new IndexedField(1)) ->addField('field3', new IndexedField(2)); $csv = 'field1,field2,field3'; $arr = $parser->parse($csv); print_r($arr); // prints ['field1' => 'field1', 'field2' => 'field2', 'field3' => 'field3'] $arr['field2'] = 'FIELD2'; echo $parser->getStringFrom($arr); // prints 'field1,FIELD2,field3' // Fixed Length example $parser = new FixedLengthRecord(); $parser->addField('field1', new FixedLengthField(0, 4)) ->addField('field2', new FixedLengthField(4, 4)) ->addField('field3', new FixedLengthField(8, 4)) $fixed = '1 2 3 '; $arr = $parser->parse($csv); print_r($arr); // prints ['field1' => '1', 'field2' => '2', 'field3' => '3'] $arr['field2'] = '222'; echo $parser->getStringFrom($arr); // prints '1 222 3 '
In both examples above, we create parsers map from scratch. We parses a line to structured data, update this data and generate a new line. This works fine, but the next approach is better...
Creating parsers on demand, using Attributes
All record parser classes and fields are Attributes too. Record classes are classes Attributes and fields definitions are properties Attributes. Using them, our engine could map and creates metadata records by demand at runtime. Lets see:
// Required and uses ommited #[DelimitedRecord] // Same classes used above, but like attribute class DelimitedRecordTest { #[IndexedField(0)] // Maps a property like a field definition public $field1; #[IndexedField(1)] public $field2; #[IndexedField(2)] public $field3; } $csv = 'field1,field2,field3'; $obj = FlatEngine::createFrom($csv, DelimitedRecordTest::class); print_r($obj); // prints ['field1' => 'field1', 'field2' => 'field2', 'field3' => 'field3'] $obj->field2 = 'FIELD2'; echo FlatEngine::getStringFrom($obj); // prints 'field1,FIELD2,field3' // Fixed length example #[FixedLengthRecord] class FixedLengthTest { #[FixedLengthField(0, 4)] public $field1; #[FixedLengthField(4, 4)] public $field2; #[FixedLengthField(8, 4)] public $field3; } $fixed = '1 2 3 '; $obj = FlatEngine::createFrom($fixed, FixedLengthTest::class); print_r($obj); // prints ['field1' => '1', 'field2' => '2', 'field3' => '3'] $obj->field2 = '222'; echo FlatEngine::getStringFrom($obj); // prints '1 222 3 '
Above we use other way (and more elegant) to create parsers. One mapper class should use a record type attribute and each property mapped should have a field definition attribute. One mapped class COULD NOT have 2 record types defined. Just one will be considered.
The FlatEngine class is the responsable to read a object/class attributes and maps them to parsers definitions
Each record/field class/attribute has its own properties and configurations. See the docs to more details.
Using Decorators
Sometimes a flat field value needs to be converted to a special data type. For these, we could use decorators. Decorators should be implements DecoratorInterface and could be attached for any field definition. They does the in/out conversion of field data. Lets see:
// Required and uses ommited // Decorator example #[FixedLengthRecord] class DecoratorTest { #[FixedLengthField(0, 14, decorator: new DateTimeDecorator('YmdHis'))] public DateTimeImmutable $dateTime; } $fixed = '20251015000958'; $obj = FlatEngine::createFrom($fixed, DecoratorTest::class); // prints a DecoratorTest object with $dateTime as DateTimeImmutable with datetime 2025-10-15 00:09:58 print_r($obj); $obj->dateTime = $obj->dateTime->modify("+5 days"); // prints '20251020000958' echo FlatEngine::getStringFrom($obj);
Using non-public mapped properties
Sometimes a mapped field should be a non public field. For this cases, FlatEngine could not read and write object fields. So we needed to give a getter and setter for them. FlatEngine will check if a property has a getter/setter associated. If yes, it will use them. Else, it try to access property directally. Getter/Setter should be a pattern name to be accessed. See above:
// Required and uses ommited #[FixedLengthRecord] class SetterGetterTest { #[FixedLengthField(0, 5)] private $field; public function setField($val) {$this->field = $val;} // Correct setter public function getField() {return $this->field;} // Correct getter public function set_Field($val) {$this->field = $val;} // Doesnt used by FlatEngine public function get_Field() {return $this->field;} // Doesnt used by FlatEngine } $fixed = '555 '; $obj = FlatEngine::createFrom($fixed, SetterGetterTest::class); print_r($obj); $obj->field = '666' // prints '666 ' echo FlatEngine::getStringFrom($obj);
Using embedded records
Using records with properties that as records too
#[FixedLengthRecord] class BaseRecord { #[FixedLengthField(0, 5, decorator: new RecordDecorator(ChildRecord::class))] public ChildRecord $child; } #[FixedLengthRecord] class ChildRecord { //class fields.... } $obj = FlatEngine::createFrom('example line', BaseRecord::class); // here we can use $obj->child->[child field]
rafsalvioni/zeus-flatrecord 适用场景与选型建议
rafsalvioni/zeus-flatrecord 是一款 基于 PHP 开发的 Composer 扩展包,目前已累计 0 次下载、GitHub Stars 达 0, 最近一次更新时间为 2025 年 10 月 17 日, 在 PHP 生态内属于活跃度较高的组件。
它主要适用于以下技术方向: 「csv」 「record」 「flat」 「delimited」 「fixed-length」 等业务场景。在实际项目中,围绕这些方向常见需要落地的问题包括:接口对接、性能调优、并发安全、与既有框架(Laravel / ThinkPHP / Yii / Webman 等)的兼容适配,以及生产环境的日志埋点与稳定性保障。
我们在过去多个企业项目中使用过 rafsalvioni/zeus-flatrecord 或与其功能相近的方案,如果你在选型或落地过程中遇到问题,例如 版本兼容、二次改造、私有化封装、与内部系统对接、生产 BUG 排查,欢迎联系我们协助评估。
基于 rafsalvioni/zeus-flatrecord 在你已有业务上做功能扩展、字段裁剪、UI 适配、与内部账号 / 权限 / 日志系统的深度对接。
线上偶发问题、内存泄漏、慢查询、并发异常等排查修复;针对高流量场景做缓存、队列、索引层面的调优。
承接完整的项目从需求 → 设计 → 开发 → 上线 → 长期运维;也可按月提供技术保姆服务。
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- 更新时间: 2025-10-17