dvsafronov / laravel-dadata
Dadata API客户端(https://dadata.ru)
2.2.3
2022-03-09 09:14 UTC
Requires
- php: >=5.5.0
- ext-curl: *
- ext-json: *
- guzzlehttp/guzzle: >=6.2.0
This package is auto-updated.
Last update: 2024-09-21 08:20:10 UTC
README
处理服务[DaData.ru]的包,用于修复网站客户联系信息中的语法错误和输出表单字段提示。
此包是基于fomvasss/laravel-dadata版本2.2.2的分支。可能不会有更新。
安装
添加到composer.json
"repositories": [
{
"url": "https://github.com/dvsafronov/laravel-dadata.git",
"type": "git"
}
]
运行
composer require dvsafronov/laravel-dadata.git
对于Laravel < 5.5: 在config/app.php中注册service-provider
Fomvasss\Dadata\DadataServiceProvider::class,
对于Lumen,添加到bootstrap/app.php
$app->withFacades();
发布配置
php artisan vendor:publish --provider="Fomvasss\Dadata\DadataServiceProvider"
在config/dadata.php或.env中设置令牌(以及API标准化密钥)
'token' => env('DADATA_TOKEN', ''), 'secret' => env('DADATA_SECRET', ''),
使用
提示服务(https://dadata.ru/api/suggest/)
添加到门面类
use Fomvasss\Dadata\Facades\DadataSuggest;
-
使用方法的示例
$result = DadataSuggest::suggest("address", ["query"=>"Москва", "count"=>2]); print_r($result);
第一个参数可以是:
fio, address, party, email, bank
-
使用根据INN或OGRN进行搜索的示例
$result = DadataSuggest::partyById('5077746329876', ["branch_type"=>"MAIN"]); print_r($result);
第一个参数可以是INN、OGRN或Dadata HID
标准化服务(https://dadata.ru/api/clean/)
添加到门面类
use Fomvasss\Dadata\Facades\DadataClean;
使用方法
$response = DadataClean::cleanAddress('мск сухонска 11/-89'); $response = DadataClean::cleanPhone('тел 7165219 доб139'); $response = DadataClean::cleanPassport('4509 235857'); $response = DadataClean::cleanName('Срегей владимерович иванов'); $response = DadataClean::cleanEmail('serega@yandex/ru'); $response = DadataClean::cleanDate('24/3/12'); $response = DadataClean::cleanVehicle('форд фокус'); $response = DadataClean::getStatistics(); $response = DadataClean::getStatistics(now()->subDays(6)); print_r($response);
检查系统余额
$response = DadataClean::getBalance();
获取所有服务使用统计
当天
$response = DadataClean::getStatistics();
任何其他日期
$response = DadataClean::getStatistics(now()->subDays(6)); // or $response = DadataClean::getStatistics('2019-11-01');