In this week’s blog post, I continued the progress from last week’s clean-up initiative. My focus was on refining the logic used to manage data. The latest logic I developed was crucial for handling different data. It involved creating one and two API queries respectively, designed outside the context but essential for its functionality. These developments were not only pertinent for the present but also aimed at easing future processes.<\/p>\n\n\n\n
Achieving the accurate data of certain context posed a challenge as it required data beyond the one database. Fortunately, Mr. Peter patiently guided me on the approach to obtain this information.<\/p>\n\n\n\n
Diving into the code, I initially drafted the solution and managed to complete it within a day. However, during code cleanup, I realized I had mixed up service and calling entities in a repository, a mistake that highlighted the importance of writing clean and efficient code. Learning from this, I refactored the entire codebase, ensuring that the code was organized properly, with context and inventory used only in their intended places.<\/p>\n\n\n\n
Moving forward, I tackled the next API query with meticulous care, being mindful of my code structure. Towards the end of the week, I presented my progress, Mr. Peter then provided valuable insights, and demonstrated the need for specific validators in the API queries. His guidance ensured that I wrote the validators correctly, enabling efficient utilization without the need for additional checks or data validation in subsequent parts of the code.<\/p>\n\n\n\n
While I made significant strides, there was still a need for a minor refactor in the clean-up service before I could proceed to work on the clean-up view page, a task that will be continued in the upcoming week.<\/p>\n","protected":false},"excerpt":{"rendered":"
In this week’s blog post, I continued the progress from last week’s clean-up initiative. My focus was on refining the logic used to manage data. The latest logic I developed was crucial for handling different data. It involved creating one and two API queries respectively, designed outside the context but essential for its functionality. These … <\/p>\n