I'm working on a financial dashboard that allows users to enter various API URLs, and I want the frontend to automatically visualize the returned data, either as a chart or a table. The challenge is that each financial API has a different data structure, with varying keys, nested objects, arrays, and formats. I'm looking for a solution that lets my frontend:
1. Fetch data from different APIs.
2. Automatically understand the shape of the responses.
3. Identify if the data can be represented as a chart (like numeric time-series data).
4. Generate Line or Bar charts when appropriate.
5. If not chartable, fall back to a clean table or JSON viewer.
How can I design a frontend that can effectively handle any financial API and make sense of its data?
4 Answers
You'll want to create an interpretation layer that standardizes the incoming data. One way to do this is by using AI to analyze the data from an unfamiliar API and map it to a defined format. Once you have those mappings saved for each API domain, future requests can be processed without needing to go back to AI for remapping. Alternatively, you could manually create the mappings for each API.
The BFF (Backend for Frontend) pattern can help too, but you still need to understand all the response shapes. Store all the mappings in your BFF, allowing your frontend to work with a single model or shape for simplicity.
Consider implementing a normalization layer between the APIs and your frontend. Fetch the raw data, then use a parser to inspect the keys and value types. Look for numeric arrays or timestamps to determine if you can chart the data. Libraries like Lodash can help with object traversal, and for visualizations, D3.js or Chart.js are great options. You might also want to allow users to manually map fields if your auto-detection doesn't work, making your system even more robust.
Honestly, you could pass the data to a machine learning model that classifies or structures the data for you, much like how spam filters work with emails. It's definitely doable, though figuring out the best method might take some experimentation!
Yeah, that sounds practical! It could really streamline the process for users, especially if you have a growing list of APIs.