Libraries tagged by parameter

This package adds some power to your api rest server by allowing you to specify joins and eager loaded associations using http query parameters

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# Introduction **INDA (INtelligent Data Analysis)** is an [Intervieweb](https://www.intervieweb.it/hrm/) AI solution provided as a RESTful API. The INDA pricing model is *credits-based*, which means that a certain number of credits is associated to each API request. Hence, users have to purchase a certain amount of credits (established according to their needs) which will be reduced at each API call. INDA accepts and processes a user's request only if their credits quota is grater than - or, at least, equal to - the number of credits required by that request. To obtain further details on the pricing, please visit our [site](https://inda.ai) or contact us. INDA HR embraces a wide range of functionalities to manage the main elements of a recruitment process: + [**candidate**](https://api.inda.ai/hr/docs/v2/#tag/Resume-Management) (hereafter also referred to as **resume** or **applicant**), or rather a person looking for a job; + [**job advertisement**](https://api.inda.ai/hr/docs/v2/#tag/JobAd-Management) (hereafter also referred to as **job ad**), which is a document that collects all the main information and details about a job vacancy; + [**application**](https://api.inda.ai/hr/docs/v2/#tag/Application-Management), that binds candidates to job ads; it is generated whenever a candidate applies for a job. Each of them has a specific set of methods that grants users the ability to create, read, update and delete the relative documents, plus some special features based on AI approaches (such as *document parsing* or *semantic search*). They can be explored in their respective sections. Data about the listed document types can be enriched by connecting them to other INDA supported entities, such as [**companies**](https://api.inda.ai/hr/docs/v2/#tag/Company-Management) and [**universities**](https://api.inda.ai/hr/docs/v2/#tag/Universities), so that recruiters may get a better and more detailed idea on the candidates' experiences and acquired skills. All the functionalities mentioned above are meant to help recruiters during the talent acquisition process, by exploiting the power of AI systems. Among the advantages a recruiter has by using this kind of systems, tackling the bias problem is surely one of the most relevant. Bias in recruitment is a serious issue that affect both recruiters and candidates, since it may cause wrong hiring decisions. As we care a lot about this problem, we are constantly working on reduce the bias in original data so that INDA results may be as fair as possible. As of now, in order to tackle the bias issue, INDA automatically ignores specific fields (such as name, gender, age and nationality) during the initial processing of each candidate data. Furthermore, we decided to let users collect data of various types, including personal or sensitive details, but we do not allow their usage if it is different from statistical purposes; our aim is to discourage recruiters from focusing on candidates' personal information, and to put their attention on the candidate's skills and abilities. We want to help recruiters to prevent any kind of bias while searching for the most valuable candidates they really need. The following documentation is addressed both to developers, in order to provide all technical details for INDA integration, and to managers, to guide them in the exploration of the implementation possibilities. The host of the API is [https://api.inda.ai/hr/v2/](https://api.inda.ai/hr/v2/). We recommend to check the API version and build (displayed near the documentation title). You can contact us at [email protected] in case of problems, suggestions, or particular needs. The search panel on the left can be used to navigate through the documentation and provides an overview of the API structure. On the right, you can find (*i*) the url of the method, (*ii*) an example of request body (if present), and (*iii*) an example of response for each response code. Finally, in the central section of each API method, you can find (*i*) a general description of the purpose of the method, (*ii*) details on parameters and request body schema (if present), and (*iii*) details on response schema, error models, and error codes.

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Simple class-based approach to handling query parameters.

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PHP 请求加密工具包，支持 AES 解密、签名与时间戳验证，快速实现前后端安全通信 | PHP encryption toolkit for AES decryption, signature, and timestamp verification, enabling fast and secure front-to-backend communication. Front-end npm package generates encrypted request parameters without changing existing APIs

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Automates the process of updating assets version in Symfony 5 projects still using parameters.yml

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The Aura Router package implements web routing; given a URI path and a copy of $_SERVER, it will extract controller, action, and parameter values for a specific route.

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Runtime reflection utilities for class-based Blade components (settable attributes & constructor parameters).

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This package implements a function which allows you to create urls with user and password parameter from http.

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This bundle allow you to save utm parameters from url into a cookie when they exists. It's also provide a bunch of tools to easily retrive all or each utm.

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A metadata-driven dynamic reporting engine for Laravel — definitions, sources, parameters, filters, grouping, aggregates, formulas, drilldowns, subreports, and HTML/PDF/Excel/CSV/JSON output.

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This class wraps the PHP DateTime class with more flexible initialization parameters, allowing a date to be created from an existing date object, a timestamp, a string with an unknown format, a string with a known format, or an array of date parts. It also adds an errors array and a __toString() method to the date object.

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A PHP MsSQL PDO class similar to the the Python MySQLdb, which supports iterator and parameter binding when using 'WHERE IN' statement.

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A library that provides the abilities to invoking callables with named parameters in a generic and extensible way.

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Track landing query parameters in user session

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Yii2 extension which allows to get application parameters, text or email templates from database tables or from default config, to import and to manage them from admin panel dynamically.

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