Документация для разработчиков. API интеграция

С помощью нашего API вы можете использовать движок EasyPackMaker для интеграции в своём web-приложении. В качестве основного протокола API использует HTTP, а значит подходит для разработки на любом языке программирования, который умеет работать с HTTP-библиотеками (cURL и другими).

API поддерживает POST запросы, которые используют JSON-аргументы. API всегда возвращает ответ в формате JSON.

Для получения доступа вам необходимо:

  • Зарегистрируйтесь или авторизуйтесь на нашем сайте, если это необходимо.
  • В Личном кабинете прочитайте и примите Лицензионное соглашение с конечным пользователем.
  • Отправьте нам запрос на активацию API через форму обратной связи. Опишите, как вы будете использовать наш интерфейс.
  • После рассмотрения вашего запроса учетная запись переключатся в режим API*.
  • Вы получите код доступа к сервису ("Пароль API" в Личном кабинете) и реализуете взаимодействие.

* После переключения использование учётной записи в обычном режиме невозможно.

Пример реализации подключения (PHP).

Создание запроса

Описание

Метод создает запрос к API и, в случае успеха, возвращает рассчитанную модель упаковки, список всех доступных моделей или описание модели.

Метод POST
URL https://easypackmaker.com/generator/api
Формат ответа JSON

Пример запроса:

  curl https://easypackmaker.com/generator/api \
  -X POST \
  -H 'Content-Type: application/json' \
  -d '{
        "UserName":"API_User",
        "Token":"3755969ffd8edfa45d3591598a47e0d2584b74a5d3f837508ff960a24e3dc9ee",
        "GetCatalog":"all"
      }'
Запросы

Получение модели:

Параметры Описание Тип Обязательный
UserName Имя пользователя, зарегистрированного в качестве API-пользователя. string(255) Да
Token См. Подпись запроса. string Да
OrderId Идентификатор заказа в системе клиента. string(20) Да
ModelId Id модели. Все доступные идентификаторы представлены в таблице. number(4) Да*
ModelName Имя модели. Все доступные имена представлены в таблице. string(20) Да*
ModelParams Массив данных основных параметров модели. Все размеры, толщина материала и единицы измерения. См. Структура объекта ModelParams. object Да
ModelOptions Массив данных дополнительных параметров модели. Клеевые зоны, информация о ножах, форма элементов и т. д. См. Структура объекта ModelOptions. object Да
PreviewOnly Получение изображения в формате PNG для предварительного просмотра. Стоимость запроса для API Базовый 1/10 от стоимости модели; для месячных подписок – бесплатно. bool Нет
SizesOnly Получение габаритных размеров и информации о ножах. Стоимость запроса для API Базовый 1/10 от стоимости модели; для месячных подписок – бесплатно. bool Нет

* Один из параметров (ModelId или ModelName) должен быть указан. Если оба параметра присутствуют в запросе, поиск будет выполнен по ModelId.

Получение каталога моделей:

Параметры Описание Тип Обязательный
UserName Имя пользователя, зарегистрированного в качестве API-пользователя. string(255) Да
Token См. Подпись запроса. string Да
GetCatalog Имя каталога. Может принимать значения: "all", "ecma", "fefco", "envFoldBag". string(20) Да
Language* Язык, но котором будет отображено описание модели. Может принимать значения: "en", "ru". Значение по умолчанию – "en". string(2) Нет

Получение полного описания модели и списка необходимых параметров и опций:

Параметры Описание Тип Обязательный
UserName Имя пользователя, зарегистрированного в качестве API-пользователя. string(255) Да
Token См. Подпись запроса. string Да
GetModelById Id модели. Все доступные идентификаторы представлены в таблице. number(4) Да**
GetModelByName Имя модели. Все доступные имена представлены в таблице. string(20) Да**
Language* Язык, но котором будет отображено описание модели. Может принимать значения: "en", "ru". Значение по умолчанию – "en". string(2) Нет

* Системные сообщения и сообщения об ошибках всегда отображаются на английском.
** Один из параметров (GetModelById или GetModelByName) должен быть указан. Если оба параметра присутствуют в запросе, поиск будет выполнен по GetModelById.

Изменение цвета линий на чертеже:

Параметры Описание Тип Обязательный
UserName Имя пользователя, зарегистрированного в качестве API-пользователя. string(255) Да
Token См. Подпись запроса. string Да
LinesColors Массив, содержащий цвета линий. Для возврата к цветам по умолчанию, используйте значение "reset". object / string(20) Да

Примеры запроса:

{
   "UserName":"API_User",
   "Token":"83c2db45477dcdc8a9dfed63781cc8f83bf1702b6cc39f1563587fa47b48c23b",
   "OrderId":"1001",
   "ModelId":"66",
   "PreviewOnly":true,
   "SizesOnly":true,
   "ModelParams":
   {
      "L":"100",
      "W":"50",
      "D":"150",
      "Th":"0.5",
      "Units":"mm"
   },
   "ModelOptions":
   {
      "DimensionType":"Crease",
      "KnifeInfo":true,
      "GlueZone":false,
      "Sizes":true
   }
}

{
   "UserName":"API_User",
   "Token":"bef491bc3342e46e91846fbe5a2820857c13a4eacd5123630cb0595cca277c2b",
   "OrderId":"1002",
   "ModelName":"fefco_0200",
   "ModelParams":
   {
      "L":"250",
      "W":"200",
      "D":"150",
      "Th":"4",
      "Units":"mm"
   },
   "ModelOptions":
   {
      "FluteDir":"Vertical",
      "DimensionType":"In",
      "GlueZone":false,
      "Sizes":true,
      "GlueFlapCorr":true
   }
}

{
   "UserName":"API_User",
   "Token":"edf3a935a374880acc6cd0e08867c80fa06df73ce14e18a6d66f99eaee2faf15",
   "OrderId":"1003",
   "ModelName":"Env_C5",
   "ModelParams":null,
   "ModelOptions":
   {
      "GlueZone":false,
      "KnifeInfo":true,
      "Sizes":true
   }
}

{
   "UserName":"API_User",
   "Token":"3755969ffd8edfa45d3591598a47e0d2584b74a5d3f837508ff960a24e3dc9ee",
   "GetCatalog":"all"
}

{
   "UserName":"API_User",
   "Token":"5c7c553550bf8e9f63e1f05993d4021f31b2cb42e8fbd5af80c99a3800035114",
   "GetModelByName":"A61_45_01_01",
   "Language":"ru"
}

{
   "UserName":"API_User",
   "Token":"46e1c73830a216276a5bf657b551f09a2223ad84b55d2b82b8b743a98910a8f0",
   "GetModelById":"66"
}

{
   "UserName":"API_User",
   "Token":"c8960bac2e51c4865cbcf33284da796af340378798fcb2e6537f42308e3b0cac",
   "LinesColors": 
   {
      "cutColor":"#b65d5d",
      "creaseColor":"#4cae4c",
      "perforationColor":"#9b9b4b",
      "zipperColor":"#3c8080",
      "infoColor":"#00438a"
   }
}

{
   "UserName":"API_User",
   "Token":"59c9be32f2d1f6e167d84a26d48968aa45557dee6a87596b02f0f71a915ddd4d",
   "LinesColors":"reset"
}

Получение ответа

Ответ
Параметры Описание Тип Обязательный
Status Статус расчёта модели. Возможные значения: "Success", "Failed". string(20) Да
ErrorCode Код ошибки. Если ошибки не произошло, возвращается значение «0». number(2) Да
Details Описание ошибки или любая дополнительная информация. string Нет
Model Рассчитанная модель. Данные закодированы в формате MIME base64. Для получения модели в формате PDF используйте функцию декодирования MIME base64. string Нет
Preview Изображение предварительного просмотра. В случае многостраничного PFD, параметр будет содержать массив строк. Данные закодированы в формате MIME base64. Для получения файлов в формате PNG используйте функцию декодирования MIME base64. string / array Нет
Sizes Массив, содержащий габаритные размеры и информацию о ножах. object Нет
ModelsCatalog Массив, содержащий список всех доступных моделей с описаниями. Возвращается при запросе GetCatalog. object Нет
ModelVariables Массив, содержащий подробное описание, ключевые слова и список необходимых параметров и опций модели. Все размерные величины "DefaultsValues" и "ValidationRules" указаны в миллиметрах. Возвращается при запросе GetModelByName или GetModelById. object Нет

Примеры ответа:

{
    "Status":"Success",
    "ErrorCode":0,
    "Model":"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",
    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",
    "Sizes" {
      "Units":"mm",
      "Total":2611.18,
      "Cut":1412.68,
      "Crease":1198.5,
      "Perf":0,
      "Zipper":0,
      "PageW":311.75,
      "PageH":249
    }
}

{
    "Status":"Success",
    "ErrorCode":0,
    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",
    "Sizes" {
      "Units":"mm",
      "Total":2611.18,
      "Cut":1412.68,
      "Crease":1198.5,
      "Perf":0,
      "Zipper":0,
      "PageW":311.75,
      "PageH":249
    }
}

{
  "Status":"Success",
  "ErrorCode":0,
  "ModelVariables": {
    "Id":"492",
    "Catalogue":"ecma",
    "GroupName":"F",
    "GroupDescription":"Вариации групп",
    "FullName":"F10.41.00.00",
    "Description":"Группа: Вариации групп. Тип: Коробка самосборная с окном. Верх и низ: Автоматическое закрытие (2-точечное соединение). Дополнительные элементы: Окно.",
    "Name":"F10_41_00_00",
    "Keywords": [
      "Автоматическое закрытие",
      "3 точки склейки",
      "Окно"
    ],
    "DefaultsValues": {
      "L":100,
      "L1":80,
      "W":50,
      "D":150,
      "D1":130,
      "Th":500
    },
    "ParamsAndOptions": {
      "params": [
        "L",
        "L1",
        "W",
        "D",
        "D1",
        "Th",
        "Units"
      ],
      "options": {
        "GlueZone":"bool",
        "KnifeInfo":"bool",
        "Sizes":"bool",
        "DimensionType": [
          "In",
          "Crease",
          "Out"
        ]
      }
    },
    "ValidationRules": {
      "L": {
        "min":23,
        "max":300
      },
      "L1": {
        "min":10,
        "max":300,
        "max1": {
          "L":1
        }
      },
      "W": {
        "min":9,
        "max":250,
        "max1": {
          "L":1
        }
      },
      "D": {
        "min":35,
        "min1": {
          "L":"1/4"
        },
        "max":500
      },
      "D1": {
        "min":10,
        "max":500,
        "max1": {
          "calc":"D - 10"
        }
      },
      "Th": {
        "min":0.2,
        "max":1
      }
    }
  }
}

{
  "Status":"Success",
  "ErrorCode":0,
  "Details":"Colors saved"
}

{
   "Status":"Failed",
   "ErrorCode":2,
   "Details":"Request format error"
}

{
  "Status":"Failed",
  "ErrorCode":7,
  "Details":"Service request error: Model not found"
}

Описание кодов ошибки:

ErrorCodeDetailsОписание
0 — Модель рассчитана. Ошибок нет
1 Bad request Ошибка запроса. Сервер не смог обработать запрос
2 Request format error Ошибка в формате запроса. Один или несколько обязательных параметров отсутствуют или неверны
3 You don't have enough rights Указанный пользователь не найден или не имеет прав для использования API
4 Insufficient funds Оплаченный период истек / достигнут предел загрузок / недостаточно средств. Подробности на странице Баланса
5 Token error Ошибка создания подписи запроса. Следуйте инструкциям по созданию токена или воспользуйтесь готовым решением
6 Model values error Ошибка параметра или опции. Далее следует подробное описание этой ошибки
7 Service request error Ошибка сервисного запроса. Далее следует описание этой ошибки.

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