Документация для разработчиков. API Интеграция

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*
DrawingFormat Выходной формат файла чертежа. Может принимать значения "pdf", "dxf", "svg". Значение по умолчанию – "pdf". При значениях "dxf", "svg" файлы будут упакованы в ZIP-архив. string(3) Нет
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",
   "DrawingFormat":"pdf",
   "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",
   "DrawingFormat":"dxf",
   "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
DrawingFormat Выходной формат файла чертежа. string Нет
FileName Рекомендуемое имя файла чертежа. Вы можете его использовать при сохранении декодированных данных. string Нет
Model Рассчитанная модель. Данные закодированы в формате MIME base64. При значениях отличных от "PDF", файлы будут упакованы в ZIP-архив. Для получения модели в формате PDF или ZIP-архива, 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,
    "DrawingFormat":"DXF in a ZIP archive",
    "FileName":"fefco_0200_L_250_W_200_D_150_Th_4_dxf.zip",
    "Model":"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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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