Trip Builder
Flight search platform for one-way and round-trip planning with sortable results, practical filtering, airport autocomplete, and automated data generation through a custom CLI.
Trip Builder is a web service focused on practical itinerary building for a single passenger with a strong backend-first architecture. The project was initially created as a PHP backend assessment and evolved into a complete working product with a public interface, search engine logic, and REST API endpoints that simulate integrations with external travel services.
From a product perspective, the core value is speed and clarity in flight discovery: users can define route points, travel dates, cabin class, and passenger details, then refine results by meaningful criteria without losing context. The production version is available at trip-builder.tarasov.ca, and the source code is maintained in the public GitHub repository.
#One-Way and Round-Trip Search Logic
The platform supports one-way trips from point A to point B and round-trip flows composed of two one-way segments (A to B, then B back to A). Result ranking is built around booking-relevant priorities, including ticket price, total travel time, departure windows, and arrival windows.

The same search model remains accessible on the results page so users can quickly adjust route inputs without returning to the home screen.

#Search Form UX: Dates and Airport Autocomplete
Date selection uses a calendar picker tailored for one-way and return scenarios, reducing mistakes in departure and arrival combinations.

Airport input includes autocomplete assistance so users can find airports by code and city faster, especially for less common destinations.

#Results Page and Flight Cards
Search output is presented as city-pair result cards, making comparison easier when multiple route combinations are available for the same request.

The card-level presentation highlights the most actionable values first so travelers can make fast decisions.

A compact top summary keeps route context visible while users review a long list of options.

#Advanced Filters for Better Match Quality
Filtering is designed to progressively narrow search output without rebuilding the full request. This is especially helpful when users need to optimize for comfort, timing, or airline preference.

Because filters are modular, additional custom filters can be introduced when business rules or user expectations expand.
#Automated Flight Generation with Noah CLI
A dedicated CLI tool (noah) powers dataset generation and operational scripts. The flights:add command can seed realistic records with departure/arrival airports, dates, distances (Vincenty-based calculation), duration, rating, and cost derived from route characteristics.
For default generation:
php noah flights:add

For high-volume generation:
php noah flights:add 10000

Additional operational commands from the project documentation include php noah list, php noah help flights:add, php noah db:clear, and php noah flights:cleaning.
#Backend Architecture, Setup, and Operational Data
The server application is implemented in PHP and split into two cooperating layers: a web software engine and a REST API used to emulate external service interactions. Project setup is streamlined through the CLI installer (php noah install) documented in the README.
Core flight lookup quality depends on reliable reference datasets, including airports and airlines management modules:


The booking flow is also covered end-to-end in the UI layer, connecting search output with order intent.

#Delivery, Hosting, and Static Asset Optimization
The product is both version-controlled and publicly hosted: source at GitHub and working deployment at trip-builder.tarasov.ca. Static media delivery was optimized through Amazon S3, improving storage flexibility and content delivery speed for non-dynamic assets.
The project also includes a dedicated error fallback page for invalid routes to preserve navigation continuity.

#Bottom Line
Trip Builder demonstrates how a PHP backend-focused project can deliver real product value when search logic, data generation, and UI filtering are designed as one coherent system. By combining timezone-aware trip planning, automation-ready CLI tooling, and production hosting practices, the platform provides a scalable base for travel-search scenarios where result relevance and operational maintainability matter equally.