ADS

When connecting our database to the customer's 1C accounting system, we aimed for a smooth data exchange. The challenge lay in navigating the complex architecture of their accounting system with diverse data exchange requirements, dependencies, and intricate details.

We created a purpose-built API in JSON files for exchanging documents with the accounting system, thus ensuring a standardized and efficient communication channel. By allowing the client to make requests and facilitating data transfer between our database and the 1C accounting system, we navigated the complex integration requirements of 1C's large-scale platform.

Our task was to recreate the price calculation scheme from the customer's accounting system. The issue was in the extensive product catalog and limited client documentation. Considering the intricacies of various facade systems was particularly challenging because each parameter required extra attention to include linked components, from bolts to fixing elements. We had to carefully review these elements to ensure they appeared in the system when the customer selected any of them in this online configurator software.

Recognizing the impossibility of foreseeing every detail at the project's outset, our team started with a phased process, using an iterative development approach. Throughout custom product configurator development, we underwent a series of upgrades and adjustments. In time, we achieved extensive documentation and, through reverse engineering, comprehended and replicated the client's calculation scheme. This approach resulted in thoroughly developed and tested functionality that seamlessly aligned with the pricing policy of the client's 1C system.

We set the next need, performance optimization, specifically focusing on queries to MongoDB. Our goal was to streamline and accelerate the loading times of these queries, aiming for reduced code complexity, especially within the price list. Our objective was to enhance overall efficiency, minimize the use of JavaScript code, and ensure faster query execution.

We ran a comprehensive code refactoring. This method significantly reduced the amount of data transferred to the client, optimizing the processing efficiency through aggregations. As a result, we achieved a notable reduction in code complexity, decreasing from over 200 lines to concise and efficient 35 lines of code.

It's important to consider critical parameters when visualizing door systems, as well as ensure accuracy in code and design, both from the designer's and the developer's perspectives. It was critical to select a tool that could facilitate the intuitive description of visual elements and their interactions while managing the complexity of such visualizations.

Our team chose the react-konva library to address this challenge. This library offered enhanced options for rendering graphics and interface elements and enabled the creation of a dynamic visualization that can seamlessly scale. Using react-konva, we managed to visualize the intricacies, including the accuracy of all parameters, resulting in a visually user-friendly and scalable representation for the clients.