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Discover why your SQLite queries work in DB Browser but fail in FastAPI. Explore solutions to ensure your code returns the desired results!
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Why Your SQLite Query Works Locally but Not in FastAPI: Troubleshooting Tips

When you are developing applications that rely on databases, it can be frustrating when your code behaves differently in your development environment compared to when it runs on a server. If you've ever encountered a situation where your SQL query works perfectly in DB Browser SQLite but fails in your FastAPI application, you're not alone. In this guide, we'll explore one developer's experience troubleshooting this common issue. Let's dive into the problem and then break down the solution.

The Problem: SQLite Query Not Returning Data

In our scenario, a developer attempted to filter stock data based on a specific price using a query that functioned correctly in DB Browser. When trying to implement the same filtering functionality in a FastAPI application, the resultant table appeared empty. This discrepancy can often lead to confusion and frustration—especially when you’re not sure why the data isn’t being returned.

Key Components of the Query

The SQL query under discussion was as follows:

[[See Video to Reveal this Text or Code Snippet]]

The developer intended to use this snippet to filter stocks for a specific day ("New Closing High") in their FastAPI app. The resulting issue was that the conditional check on date returned no results, leaving an empty table.

Solution: Check Your Data Availability

Upon further investigation, the developer realized the root cause of the issue: lack of data for the specified date. They initially believed data existed for '2021-04-01', but a review showed that the scheduled script to update the database had failed to run, leading to no entries for that date.

Steps to Diagnose and Fix the Problem:

Verify Database Integrity:

Check that the database does indeed contain entries for the date you are querying.

Use a simple query to ensure data for the relevant date exists:

[[See Video to Reveal this Text or Code Snippet]]

Debugging Output:

Implement print statements or logs in your FastAPI application to confirm what date is being sent in the query and what results are being fetched.

Fallback to Default Query:

If your filter isn't met, ensure there's a default query sin place to fetch all stocks:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion: Always Double-Check Your Data

In conclusion, the lesson here is quite simple yet crucial: always verify your data availability before assuming your SQL queries are at fault. Developing a habit of checking the health and status of your dataset can save you from a lot of hassle down the line. Often, the source of the issue isn't the code itself but rather the environment in which it’s expected to run.

If you've faced similar challenges, or have insights on improving data integrity during development, feel free to share your thoughts in the comments below! Happy coding!