qd-today/qd
Qd
qd is a server-side execution engine and request scheduler designed to automate recurring network tasks. It functions as a task automator that converts HTTP Archive files into reusable request templates for scheduled execution.
The system is powered by a non-blocking server that manages a timer-driven execution engine. This allows the project to orchestrate API tasks by replaying captured network traffic and triggering network requests based on defined recurring intervals.
The tool covers a broad range of automation capabilities, including schema-driven task configuration and stateless request dispatching to maintain consistent automated workflows.
Features
- HAR File Replayers - Specializes in using HTTP Archive files to reproduce recorded network traffic patterns for automation.
- Task Automation Tools - Provides an automation tool that transforms HAR files into reusable templates for recurring network task execution.
- Request Pattern Templates - Converts captured network traffic files into reusable request patterns for automated execution.
- Scheduled HTTP Requests - Allows users to execute network requests automatically on a recurring timer for repeated task automation.
- Timer Schedulers - Features a timer-driven execution engine for scheduling asynchronous HTTP tasks using recurring intervals.
- HAR File Parsers - Provides utilities to convert HTTP Archive JSON files into executable request configurations for automated playback.
- Configuration-Driven Logic - Implements a system where request parameters and timing rules are defined via structured data files to control behavior at runtime.
- Asynchronous Request Runners - Implements a server-side execution engine for managing and triggering high-concurrency recurring HTTP network tasks.
- Asynchronous Web Servers - Built on a non-blocking asynchronous web server to handle concurrent network requests and timer event loops.
- Task Orchestrators - Manages and executes sequences of scheduled HTTP requests to perform operations on remote servers.
- Asynchronous Server Schedulers - Runs timed network operations through a Tornado server to maintain consistent automated workflows.
- HTTP Request Dispatchers - Ships a mechanism for sending independent HTTP requests to remote servers without maintaining session state between runs.
