When Data Doesn’t Refresh: Understanding Flask’s State and Persistence | Python Comeback Journey #10

When Data Doesn’t Refresh: Understanding Flask’s State and Persistence | Python Comeback Journey #10

Flask home route code showing json.load() used inside the function to reload data dynamically.
Moving file reading inside the route ensures your Flask app always shows the latest data.

When Data Doesn’t Refresh: Understanding Flask’s State and Persistence | Python Comeback Journey #10

It started with a small confusion: why was “The Great Gatsby” appearing twice? I had edited my books.json file manually to fix an ID issue, but then my app behaved strangely. New entries didn’t appear until I restarted the server. Even stranger — sometimes they did, sometimes they didn’t.

That’s when I began to understand something fundamental about Flask: data stored in memory doesn’t magically stay in sync with what’s stored on disk.


🧩 Step 1: How I Discovered the Issue

At this point, the app already had an /add form that could append new books to books.json. I tried testing it by adding Moby Dick, Frankenstein, and Alice in Wonderland. The flash message appeared — “Book added successfully!” — but when I went back to the homepage, the new titles weren’t there.

It only worked after restarting the Flask server.

That told me something: the homepage wasn’t reloading data fresh from the file each time. Instead, it was using a copy that Flask had kept in memory since startup.


⚙️ Step 2: The Root Cause — Global Variables

Originally, I had something like this at the top of app.py:

This line runs once, when the app starts — not every time someone visits the page.

That means books stays frozen in memory. So even if the JSON file on disk changes, the running app never knows about it.


🧠 Step 3: The Fix — Load Fresh Data on Each Request

The solution was to move the file reading inside the route function, so Flask loads the data each time / is visited.

Here’s the updated route:

Now, every time the homepage loads, it reads the latest data from disk — no restart needed.


📚 Step 4: The Template Side

The template didn’t need much change. It was already looping through the books list dynamically:

Once the route started passing fresh data, the new entries appeared instantly.


💡 Step 5: The Lesson — Memory vs Persistence

This bug taught me something subtle but important: Flask isn’t a database. When you load data into memory, Flask has no idea if that data changes later. Persistence — whether it’s JSON, SQLite, or PostgreSQL — always lives outside the app’s memory.

If your app needs to reflect real-time data, it must read from (or write to) persistent storage every time.

It’s a small architectural insight that separates toy projects from real ones.


🚀 Reflection

Debugging this was frustrating at first, but ultimately enlightening. I learned that what we think of as a “simple bug” often reveals a deeper truth about how web apps think.

The next step was obvious: if data persistence was this fragile with plain JSON files, maybe it was time to explore proper databases.

Stay tuned for Python Comeback Journey #11: Editing and Deleting Records in Flask Without a Database.

Author

  • Naoman Saeed

    I’m a self-taught developer building my way from code experiments to full-stack web solutions. At trogdyne.com, I share what I learn — from Flask and Docker to the realities of running a one-person digital agency in Pakistan.

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Naoman

Saeed

I am a full stack web developer and technical writer passionate about MERN stack, self hosting & System thinking. This blog is my public notebook.