Libraries tagged by create table

## API Versioning We're constantly updating and improving the API, and while we try to ensure backwards compatibility, there's always a chance that we'll introduce a change that affects the way your app works. To get around any problems that this might cause, we recommend that you include the Accept header with every API request that you make. This header enables you to target your request to a particular version of the API. It looks like this in HTTP: ```text Accept: application/vnd.saitowag.api+json;version={version_number} ``` Normally, you set the value of the placeholder to the current version of the API. But if you're troubleshooting your app, and you know that an older version of the API works perfectly, say version 1.0, you'd substitute 1.0 for the placeholder value. The API then handles the request as if it were for version 1.0, and your app goes back to working properly. ### Example of an error with invalid `ACCEPT` header. The `HTTP status code` in case of an invalid `ACCEPT` header will be `400 Bad Request` and the following response will be returned. ```json { "data": [ { "error_code": "ERR_ACCEPT_HEADER_NOT_VALID", "error_message": "Accept header is not valid or not set." } ] } ``` ### Unexpected Error If an unexpected error occours, a so called Error General will be returned. The `HTTP status code` in case of an invalid `ACCEPT` header will be `500` and the following response will be returned. ```json { "data": [ { "error_code": "ERR_GENERAL", "error_message": "An unexpected error has occurred. If this problem persists, please contact our support." } ] } ``` ### Invalid Endpoint Error Any call to a non-existing API endpoint (i.e. wrong route) will return a response with `HTTP status code` `404` and the following response body: ```json { "data": [ { "error_code": "ERR_GENERAL_INVALID_ENDPOINT", "error_message": "The requested endpoint does not exist." } ] } ``` Please, note that this error is returned also when a request parameter, part of a valid route, is not well formed. For example, a call to a route that contains a wrong order id (i.e. it does not meet the accepted order id pattern - e.g. 123456789PAC instead of PAC123456789) will return the error just mentioned, as the route is considered as badly formed. In conclusion, please pay special attention to all those routes that have request parameters with specific pattern requirements. ### Shipping Method IDs These ids may not be available in all the countries. | ID | Name | | --- | --- | | 1 | Standard `Standard` | | 2 | Self-collection `Selbstabholung` | | 3 | Express morning (truck) `Express-Morgen (LKW)` | | 4 | Express Today (Truck) `Express-Heute (LKW)` | | 5 | Express morning (package forwarding) `Express-Morgen (Packet Spedition)` | | 7 | Express-now | ### Payment Method IDs These ids may not be available in all the countries. | ID | Name | | --- | --- | | 1 | SEPA Direct Debit `SEPA-Lastschrift` | | 2 | Prepayment `Vorkasse` | | 3 | Cash on delivery `Nachnahme` | | 4 | PayPal/Credit Card `PayPal/Kreditkarte` | | 5 | open payment method `offene Zahlungsart` | | 7 | Invoice(8 days payment term) `Rechnung(8 Tage Zahlungsziel)` | | 8 | open payment method (SEPA) `offene Zahlungsart (SEPA)` | ## Query String Filters Query String Filters | Operator | Full Name | Description | Example | | ------ | ------ | ------ | ------ | | eq | Equal | Used to narrow down the result of a query to some specific value, for specified field. It adds the "**=**" symbol to the SQL query. Eg. `{url}?filter[{alias_name}]=eq;11` will result in the following sql: `SELECT {field_name} AS {alias_name} FROM {table_name} WHERE {alias_name} = 11` | integer: `{url}?filter[id]=eq;21`float: `{url}?filter[average]=eq;3.7`string: `{url}?filter[free_text]=eq;apple`Date: `{url}?filter[birthday]=eq;2020-06-03`DateTime: `{url}?filter[created_at]=eq;2020-06-03 14:32:32`boolean: `{url}?filter[is_active]=eq;1` | | neq | Not equal | Used to exclude the value from a query result. It adds the "****" symbol to the SQL query. Eg. `{url}?filter[{alias_name}]=neq;11` will result in the following sql: `SELECT {field_name} AS {alias_name} FROM {table_name} WHERE {alias_name} 11` | integer: `{url}?filter[id]=neq;21`float: `{url}?filter[average]=neq;3.7`string: `{url}?filter[free_text]=neq;apple`Date: `{url}?filter[birthday]=neq;2020-06-03`DateTime: `{url}?filter[created_at]=neq;2020-06-03 14:32:32`boolean: `{url}?filter[is_active]=neq;1` | | gt | Greater than | Used to reduce fetched values to those greater than the one provided in a query string. It adds the "**>**" symbol to the SQL query. Eg. `{url}?filter[{alias_name}]=gt;11` will result in the following sql: `SELECT {field_name} AS {alias_name} FROM {table_name} WHERE {alias_name} > 11` | integer: `{url}?filter[id]=gt;21`float: `{url}?filter[average]=gt;3.7`Date: `{url}?filter[birthday]=gt;2020-06-03`DateTime: `{url}?filter[created_at]=gt;2020-06-03 14:32:32` | | gte | Greater than or equal | Used to reduce fetched values to those greater than or equal to the one provided in a query string. It adds the "**>=**" symbol to the SQL query. Eg. `{url}?filter[{alias_name}]=gte;11` will result in the following sql: `SELECT {field_name} AS {alias_name} FROM {table_name} WHERE {alias_name} >= 11` | integer: `{url}?filter[id]=gte;21`float: `{url}?filter[average]=gte;3.7`Date: `{url}?filter[birthday]=gte;2020-06-03`DateTime: `{url}?filter[created_at]=gte;2020-06-03 14:32:32` | | lt | Less than | Used to reduce fetched values to those less than provided in a query string. It adds the "**

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A laravel package that creates and seeds Kenya's county,subcounty and wards lookup tables to a MySQL database

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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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Create WordPress admin pages with tabbed navigations, the OOP way

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Eloquent Model for the sessions table as created by artisan session:table

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Smart seeders for Laravel. created and developed by gizburdt

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Create tabbed navigation for WordPress admin dashboard, the OOP way

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This bundle provides an accessible tabs element for Contao. It allows you to create tabbed content sections easily.

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Creates association tables for member groups and user groups.

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Creates a Filament table action.

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Creates a laravel table, model and middleware that logs all urls that user accesses

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Magento 2 Jobs Manager extension enables you to seamlessly integrate a comprehensive job board into your eCommerce store. This powerful extension allows you to efficiently manage the entire hiring process by creating and posting various types of job listings, categorized by type, location, and department. Enhance your website's functionality by allowing potential candidates to discover and apply for positions directly through your store, streamlining your talent acquisition process.With the Jobs Manager extension, you can:- Create and manage multiple job listings with detailed descriptions.- Categorize jobs by type (full-time, part-time, freelance), location, and department.- Allow candidates to apply directly through your website, simplifying the application process.- Easily update and maintain job listings to ensure current openings are accurately represented.- Enhance your eCommerce site by adding a dedicated job manager section, attracting high-quality talent.This extension is designed to provide a robust solution for businesses looking to expand their team and find the right talent using their eCommerce platform. By integrating a job board into your Magento 2 store, you can leverage your online presence to support your recruitment efforts effectively.This module is also fully compatible with the Hyvä theme, ensuring a seamless integration with the modern and fast frontend provided by Hyvä, enhancing the overall user experience and performance of your job board.

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Creates TableGateways according to schema and table name provided.

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Create a tabbed interface that uses elements

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a laravel package that creates rest api for a certain table. It generates scaffolding for rest api

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