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Swagger Petstore - OpenAPI 3.0

website·Indexed 30 days ago

https://jonipeti018.github.io/Demo

A sample Pet Store Server based on the OpenAPI 3.0 specification (Version 1.0.12). The API provides endpoints for managing pets, including adding, updating, and deleting pets, as well as managing store inventory, orders, and user resources.

Tokens
19K
Snippets
145
Records
235
Agent score
74%

What's inside Petstore

  1. Overview of dbrapi0.smarti.me Backend API

    dbrapi0.smarti.me is a modular Node.js-based backend API server. It manages activation codes, user management, voting, language localization, and integration with external services. The architecture separates routing, business logic, database access, and utility functions.

  2. Overview of dbrpp_watcher

    The dbrpp_watcher is a Python-based monitoring tool designed to periodically check the status and freshness of data in a MySQL database (specifically the "dbrpp" database). It automates the detection of data outages or staleness and notifies stakeholders via Discord webhooks.

  3. Overview of dbrapi0.smarti.me Backend API

    dbrapi0.smarti.me is a Node.js backend API server designed to manage activation codes, user management, voting, language localization, and integration with external services. The architecture separates routing, business logic, database access, and utility functions for modularity and scalability.

  4. Overview of dbrpp_watcher

    dbrpp_watcher is a Python-based monitoring tool designed to regularly check the freshness of data within a MySQL database (specifically the 'dbrpp' database). It automatically detects data gaps or obsolescence and notifies relevant personnel via Discord. Key features include scheduled checks for public and private data, custom logging with rotation, and environment-variable-based configuration.

  5. Overview of the DBR data analytics system

    The DBR project is a data analytics and processing system designed to aggregate, analyze, and report on financial asset rates (e.g., oil, EUR, gold, BTC) and user voting data. The system computes rolling averages, daily statistics, and optimal values (Dynamic Base Rate - DBR) while ensuring data integrity through a pipeline of ingestion, calculation, and reporting.

  6. Overview of Docusaurus core features

    Docusaurus is designed for quick installation and deployment of documentation websites. It allows developers to focus on content by placing documentation files in the docs directory and provides extensibility through React, enabling the customization of website layouts while maintaining consistent global elements like headers and footers.

  8. Reward Distribution System Architecture Overview

    The Reward Distribution System automates the calculation and distribution of rewards based on partner voting activity. It ensures a fair, transparent, and auditable process using a mix of fixed and dynamic rules. The system tracks voter participation, saves results to a MySQL database for auditing, and handles special partners with unique logic.

  9. Reward Distribution System Overview

    The Reward Distribution System automates the calculation and distribution of rewards to partners based on voting activity. It handles hourly and daily reward calculations, tracks voter eligibility, and persists results to a MySQL database for auditing. The system supports both fixed and dynamic reward rules, including custom logic for special partners.

  10. DBR Index Project Overview

    The DBR Index is a multi-platform Flutter application supporting Android, iOS, Windows, macOS, Linux, and Web. Its primary purpose is to allow users to view the DBR Index, cast votes, and manage participation. Key features include device information collection, secure storage, isolate-based API communication, localization, and a responsive UI.

  11. DBR Index Project Overview

    DBR Index is a cross-platform Flutter application supporting Android, iOS, Windows, macOS, Linux, and Web. The app allows users to view the DBR Index, cast votes, and manage participation. Key technical features include device information collection, secure storage, isolate-based API communication, localization via CSV, and a responsive UI.

  12. Understand DBR API Server request and response requirements

    The DBR API Server (Version 1.0.0) provides endpoints for user activation, voting, language management, partner and position data, and backend communication. All API interactions must adhere to the following constraints:

    • All endpoints require the POST method.
    • Requests must include a JSON body.
    • All responses are returned as base64-encoded JSON strings.