FPA Preview Fix: See Doctor's Date, Not Just System Calc

Hey Guys, Let's Talk FPA Preview: The Problem

Hey guys, let's dive straight into something that's been a bit of a headache for our amazing doctors using the ticket creation form: the FPA preview. You know, that super handy sticky panel at the bottom that's supposed to give you a quick glance at the Fecha Posible de Alta or Possible Discharge Date. Well, we noticed a pretty significant glitch in the matrix here. Imagine this scenario: A doctor is diligently setting up a new ticket. They select a surgery, and boom, the system, being smart as it is, automatically calculates an FPA. This auto-calculated date then pops up in that preview panel, all neat and tidy. But here's where the plot thickens. Sometimes, for various crucial medical reasons—maybe the patient has a complex condition, or there are specific post-op care plans—the doctor needs to manually override that system-suggested date. They go into the medical_discharge_date field and input a completely different, medically justified date. You'd expect that snazzy preview panel to immediately reflect this new, doctor-indicated FPA, right? To clearly show, "Hey, this is the date you, the expert, decided on!" But nope. That's precisely where our bug was lurking. The preview stubbornly stuck to displaying only the system's original calculation, completely ignoring the doctor's expert input. This meant that our doctors, who are already juggling a million things, couldn't trust what they were seeing in the preview. They'd have to double-check, mentally compare, or even wonder if their manual entry had even registered. It created confusion, a lack of confidence in the system, and, let's be honest, a pretty frustrating user experience. The whole point of a preview is to give you a clear, accurate, and final picture of what's going on, especially when dealing with critical patient information like discharge dates. When the preview isn't showing the actual date that will be used for the ticket, it's not just an inconvenience; it's a potential source of error and inefficiency. This particular issue really highlighted how crucial it is for our tools to respect and clearly communicate the doctor's authoritative input over automated suggestions, especially when that input diverges. We absolutely want our system to be helpful and intelligent with its suggestions, but ultimately, the medical professional's decision must be the clear, visible, and guiding star. So, this wasn't just about a visual discrepancy; it was about ensuring that the system truly supports the medical workflow, putting the doctor's expertise front and center and removing any ambiguity about what the final, critical FPA date would be. This is why addressing this FPA preview bug was so important for us – it's all about empowering our users and making their day-to-day tasks smoother and more reliable, ensuring the FPA preview is always accurate. Moreover, this little bug, while seemingly minor, could lead to bigger administrative headaches down the line if the true intended FPA wasn't clear at the point of ticket creation. We're talking about potential discrepancies in patient flow management, bed allocation, and even billing cycles. So, getting this right means a smoother operation for everyone involved, from the medical staff to the administrative teams. This kind of transparency and accuracy in the FPA preview is non-negotiable for a system designed to support critical healthcare decisions.

Diving Deep: What's Going On Under the Hood? (Technical Analysis Explained)

Alright, folks, let's pull back the curtain a little bit and look at the technical guts of what was happening with the FPA preview problem. Understanding this helps us appreciate the solution even more! The heart of the issue lay primarily within our frontend code, specifically in the templates/tickets/create.html file, which is essentially the blueprint for our ticket creation page. Inside this file, we have some JavaScript magic that's supposed to make everything interactive and user-friendly. The main culprit was a function called updateFpaPreview(). Now, this function's job was to fetch the FPA (Fecha Posible de Alta) from our backend system whenever certain inputs changed, like the selected surgery or the estimated end time in the pavilion. It would then take this information and display it prominently in the sticky preview panel at the bottom of the screen. The problem, though, was in what it was fetching and how it was displaying it. The updateFpaPreview() function was making an API call to an endpoint specifically designed to calculate_fpa. As its name suggests, this endpoint's sole purpose was to run the system's automatic FPA calculation based on the surgery and other default parameters. It would then return a data.fpa_display_str which was essentially the system-calculated FPA in a user-friendly format. The JavaScript code then took only this data.fpa_display_str and rendered it in the preview panel. This meant that even if a doctor went to the medical_discharge_date input field and typed in a completely different date, the updateFpaPreview() function, when triggered, would still call the calculate_fpa API, get the original system suggestion, and update the preview with that, effectively ignoring the doctor's manual override. It was like having a smart assistant who, no matter how many times you told them your preference, always reverted to their default suggestion. Furthermore, the medical_discharge_date input field itself had an addEventListener('change', ...) in place. This listener was indeed detecting when the doctor manually changed the date. It would set a flag, medicalDateManuallySet = true, which was a good start! It also called updateFpaPreview(). However, as we just discussed, updateFpaPreview() wasn't actually using the value from the medical_discharge_date input for its display logic. It was simply re-querying the backend for the auto-calculated FPA and showing that again. So, while the system knew the date had been changed manually, the visual feedback mechanism – the preview panel – was oblivious to this crucial piece of user input. This created a disconnect between the user's action and the system's visual response, leading to that frustrating moment of