Libraries tagged by Request Models

Solid Generator generates solid code with controller api resources, custom request, with repo pattern, migrations based on model_schema_json file with admin panel for blade etc..

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This is a package to implement search and filters on the backend level using DataTables and Laravel Models. The best part of this package is the ability to search across multiple tables and rows in a single request (ajax), with or without using joins.

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Provides an implementation of the Guzzle Command library that uses Guzzle service descriptions to describe web services, serialize requests, and parse responses into easy to use model structures.

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The Engine API is an HTTP API served by Docker Engine. It is the API the Docker client uses to communicate with the Engine, so everything the Docker client can do can be done with the API. Most of the client's commands map directly to API endpoints (e.g. `docker ps` is `GET /containers/json`). The notable exception is running containers, which consists of several API calls. # Errors The API uses standard HTTP status codes to indicate the success or failure of the API call. The body of the response will be JSON in the following format: ``` { "message": "page not found" } ``` # Versioning The API is usually changed in each release, so API calls are versioned to ensure that clients don't break. To lock to a specific version of the API, you prefix the URL with its version, for example, call `/v1.30/info` to use the v1.30 version of the `/info` endpoint. If the API version specified in the URL is not supported by the daemon, a HTTP `400 Bad Request` error message is returned. If you omit the version-prefix, the current version of the API (v1.40) is used. For example, calling `/info` is the same as calling `/v1.40/info`. Using the API without a version-prefix is deprecated and will be removed in a future release. Engine releases in the near future should support this version of the API, so your client will continue to work even if it is talking to a newer Engine. The API uses an open schema model, which means server may add extra properties to responses. Likewise, the server will ignore any extra query parameters and request body properties. When you write clients, you need to ignore additional properties in responses to ensure they do not break when talking to newer daemons. # Authentication Authentication for registries is handled client side. The client has to send authentication details to various endpoints that need to communicate with registries, such as `POST /images/(name)/push`. These are sent as `X-Registry-Auth` header as a Base64 encoded (JSON) string with the following structure: ``` { "username": "string", "password": "string", "email": "string", "serveraddress": "string" } ``` The `serveraddress` is a domain/IP without a protocol. Throughout this structure, double quotes are required. If you have already got an identity token from the [`/auth` endpoint](#operation/SystemAuth), you can just pass this instead of credentials: ``` { "identitytoken": "9cbaf023786cd7..." } ```

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This package allows you to create unique slugs. It keeps all the slugs you define in the slugs table. It also satisfies all requests and directs it to the controller you define in your model.

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The Engine API is an HTTP API served by Docker Engine. It is the API the Docker client uses to communicate with the Engine, so everything the Docker client can do can be done with the API. Most of the client's commands map directly to API endpoints (e.g. `docker ps` is `GET /containers/json`). The notable exception is running containers, which consists of several API calls. # Errors The API uses standard HTTP status codes to indicate the success or failure of the API call. The body of the response will be JSON in the following format: ``` { "message": "page not found" } ``` # Versioning The API is usually changed in each release, so API calls are versioned to ensure that clients don't break. To lock to a specific version of the API, you prefix the URL with its version, for example, call `/v1.30/info` to use the v1.30 version of the `/info` endpoint. If the API version specified in the URL is not supported by the daemon, a HTTP `400 Bad Request` error message is returned. If you omit the version-prefix, the current version of the API (v1.40) is used. For example, calling `/info` is the same as calling `/v1.40/info`. Using the API without a version-prefix is deprecated and will be removed in a future release. Engine releases in the near future should support this version of the API, so your client will continue to work even if it is talking to a newer Engine. The API uses an open schema model, which means server may add extra properties to responses. Likewise, the server will ignore any extra query parameters and request body properties. When you write clients, you need to ignore additional properties in responses to ensure they do not break when talking to newer daemons. # Authentication Authentication for registries is handled client side. The client has to send authentication details to various endpoints that need to communicate with registries, such as `POST /images/(name)/push`. These are sent as `X-Registry-Auth` header as a Base64 encoded (JSON) string with the following structure: ``` { "username": "string", "password": "string", "email": "string", "serveraddress": "string" } ``` The `serveraddress` is a domain/IP without a protocol. Throughout this structure, double quotes are required. If you have already got an identity token from the [`/auth` endpoint](#operation/SystemAuth), you can just pass this instead of credentials: ``` { "identitytoken": "9cbaf023786cd7..." } ```

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The Engine API is an HTTP API served by Docker Engine. It is the API the Docker client uses to communicate with the Engine, so everything the Docker client can do can be done with the API. Most of the client's commands map directly to API endpoints (e.g. `docker ps` is `GET /containers/json`). The notable exception is running containers, which consists of several API calls. # Errors The API uses standard HTTP status codes to indicate the success or failure of the API call. The body of the response will be JSON in the following format: ``` { "message": "page not found" } ``` # Versioning The API is usually changed in each release, so API calls are versioned to ensure that clients don't break. To lock to a specific version of the API, you prefix the URL with its version, for example, call `/v1.30/info` to use the v1.30 version of the `/info` endpoint. If the API version specified in the URL is not supported by the daemon, a HTTP `400 Bad Request` error message is returned. If you omit the version-prefix, the current version of the API (v1.43) is used. For example, calling `/info` is the same as calling `/v1.43/info`. Using the API without a version-prefix is deprecated and will be removed in a future release. Engine releases in the near future should support this version of the API, so your client will continue to work even if it is talking to a newer Engine. The API uses an open schema model, which means server may add extra properties to responses. Likewise, the server will ignore any extra query parameters and request body properties. When you write clients, you need to ignore additional properties in responses to ensure they do not break when talking to newer daemons. # Authentication Authentication for registries is handled client side. The client has to send authentication details to various endpoints that need to communicate with registries, such as `POST /images/(name)/push`. These are sent as `X-Registry-Auth` header as a [base64url encoded](https://tools.ietf.org/html/rfc4648#section-5) (JSON) string with the following structure: ``` { "username": "string", "password": "string", "email": "string", "serveraddress": "string" } ``` The `serveraddress` is a domain/IP without a protocol. Throughout this structure, double quotes are required. If you have already got an identity token from the [`/auth` endpoint](#operation/SystemAuth), you can just pass this instead of credentials: ``` { "identitytoken": "9cbaf023786cd7..." } ```

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The Engine API is an HTTP API served by Docker Engine. It is the API the Docker client uses to communicate with the Engine, so everything the Docker client can do can be done with the API. Most of the client's commands map directly to API endpoints (e.g. `docker ps` is `GET /containers/json`). The notable exception is running containers, which consists of several API calls. # Errors The API uses standard HTTP status codes to indicate the success or failure of the API call. The body of the response will be JSON in the following format: ``` { "message": "page not found" } ``` # Versioning The API is usually changed in each release, so API calls are versioned to ensure that clients don't break. To lock to a specific version of the API, you prefix the URL with its version, for example, call `/v1.30/info` to use the v1.30 version of the `/info` endpoint. If the API version specified in the URL is not supported by the daemon, a HTTP `400 Bad Request` error message is returned. If you omit the version-prefix, the current version of the API (v1.41) is used. For example, calling `/info` is the same as calling `/v1.41/info`. Using the API without a version-prefix is deprecated and will be removed in a future release. Engine releases in the near future should support this version of the API, so your client will continue to work even if it is talking to a newer Engine. The API uses an open schema model, which means server may add extra properties to responses. Likewise, the server will ignore any extra query parameters and request body properties. When you write clients, you need to ignore additional properties in responses to ensure they do not break when talking to newer daemons. # Authentication Authentication for registries is handled client side. The client has to send authentication details to various endpoints that need to communicate with registries, such as `POST /images/(name)/push`. These are sent as `X-Registry-Auth` header as a [base64url encoded](https://tools.ietf.org/html/rfc4648#section-5) (JSON) string with the following structure: ``` { "username": "string", "password": "string", "email": "string", "serveraddress": "string" } ``` The `serveraddress` is a domain/IP without a protocol. Throughout this structure, double quotes are required. If you have already got an identity token from the [`/auth` endpoint](#operation/SystemAuth), you can just pass this instead of credentials: ``` { "identitytoken": "9cbaf023786cd7..." } ```

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A data factory helper class for mocking data. This is inspired by Laravel's model factories, the difference being that data factories are not tied to a model. Data factories are great for mocking api responses, requests or other data not persisted to a database. Data Factories are not dependant on Laravel, so you can use this package anywhere.

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This package helps you to implement annotation on your Model's object the way of Doctrine. -Helps you to validate your Object build from POST request; -Helps to auto-generate form fields.

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## Introduction This comprehensive guide will equip you with the knowledge to integrate and leverage our Product Configurator Service in your applications. ## Quick Start Get up and running in no time! Follow these steps to kickstart your integration: 1. **Authentication:** Obtain your integration JWT to authenticate your requests. 2. **Client Libraries:** Explore our GitHub repositories to grab client libraries in your preferred programming language. 3. **API Overview:** Familiarize yourself with our RESTful API using the OpenAPI specification. ## Integration ### API Overview Our RESTful API is the gateway to unlocking the full potential of Product Configurator. Check out the detailed [API Reference](/docs/category/configurator) for a granular understanding of each endpoint and request/response format. ### Client Libraries To expedite your integration process, we provide client libraries for various programming languages. Find the one that suits your stack in our [GitHub repositories](https://github.com/Gemini-Commerce). ### Authentication Security is paramount. Learn how to authenticate your requests using JWT. This ensures a secure and reliable connection between your application and Product Configurator. ## Configuration Management ### Configurator Lifecycle Understand the lifecycle of configurators, from draft to active and deleted. This flexibility allows you to manage configurations at your own pace. ### Steps and Options Configure product steps with ease and define options effortlessly. Explore the power of dependencies to create dynamic and intuitive configurations. ### Matrices Delve into matrices—your secret weapon. Explore price and weight matrices, and learn how configured steps influence properties and pricing. ### Price Management Unleash dynamic pricing with our versatile price matrices. From fixed prices to incremental structures, adapt to diverse pricing models effortlessly. ## Security Your data is in safe hands. Discover how Product Configurator ensures security through JWT authentication, safeguarding your sensitive information. ## Backward Compatibility Stay ahead of the curve. Learn about our versioning strategy, providing backward compatibility while allowing our service to evolve seamlessly. ## Developer Support Have questions? Need assistance? Write to us at [[email protected]](mailto:[email protected]) and we will get back to you.

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Provides an implementation of the Guzzle Command library that uses Guzzle service descriptions to describe web services, serialize requests, and parse responses into easy to use model structures.

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Use the Analyze API to analyze any external asset and return details based on the type of analysis requested. Currently supports the following analysis options: * [AI Vision - Tagging](https://cloudinary.com/documentation/cloudinary_ai_vision_addon#tagging_mode) * [AI Vision - Moderation](https://cloudinary.com/documentation/cloudinary_ai_vision_addon#moderation_mode) * [AI Vision - General](https://cloudinary.com/documentation/cloudinary_ai_vision_addon#general_mode) * [Google tagging](https://cloudinary.com/documentation/google_auto_tagging_addon) * [Captioning](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#ai_based_image_captioning) * [Cld Fashion](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Coco](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Lvis](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Unidet](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Human Anatomy](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Cld Text](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) * [Shop Classifier](https://cloudinary.com/documentation/cloudinary_ai_content_analysis_addon#supported_content_aware_detection_models) **Notes**: * The Analyze API is currently in development and is available as a Public Beta, which means we value your feedback, so please feel free to [share any thoughts with us](https://support.cloudinary.com/hc/en-us/requests/new). * The analysis options require an active subscription to the relevant add-on. Learn more about [registering for add-ons](https://cloudinary.com/documentation/cloudinary_add_ons#registering_for_add_ons). The API supports both Basic Authentication using your Cloudinary API Key and API Secret (which can be found on the Dashboard page of your [Cloudinary Console](https://console.cloudinary.com/pm)) or OAuth2 ([Contact support](https://support.cloudinary.com/hc/en-us/requests/new) for more information regarding OAuth).

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Simple PHP Request Validator

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This bundle aim to provides an http client that performs and handle requests to modelo Api.

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