Handling JSON responses with date strings in FastAPI leading to parsing errors
Could someone explain I need some guidance on Hey everyone, I'm running into an issue that's driving me crazy... I'm working on a project and hit a roadblock. I've been banging my head against this for hours. I'm using FastAPI (v0.70.0) to set up a REST API that returns data in JSON format. However, I'm working with an scenario when my API returns datetime strings. The format I'm using for datetime is ISO 8601, for instance, "2023-10-01T12:30:00Z". When trying to deserialize this JSON response in my client application, I often see a `ValueError: time data '2023-10-01T12:30:00Z' does not match format` behavior. Here’s a simplified version of my FastAPI endpoint: ```python from fastapi import FastAPI from datetime import datetime from pydantic import BaseModel app = FastAPI() class Event(BaseModel): name: str start_time: datetime @app.get('/events', response_model=List[Event]) async def get_events(): return [ Event(name='Sample Event', start_time=datetime(2023, 10, 1, 12, 30)) ] ``` I have confirmed that the JSON returned by this endpoint is formatted correctly as: ```json [ { "name": "Sample Event", "start_time": "2023-10-01T12:30:00Z" } ] ``` In my frontend, which is built using React (v17.0.2), I am trying to parse this JSON response as follows: ```javascript fetch('/api/events') .then(response => response.json()) .then(data => { console.log(new Date(data[0].start_time)); // This throws an behavior }) .catch(behavior => console.behavior('behavior:', behavior)); ``` Despite using the correct format, the `new Date(data[0].start_time)` line fails. I’ve looked into the timezone issues but I’m not sure if that is the root cause. How can I handle this correctly? Is there a specific way to format the date string in FastAPI to ensure it is parsed correctly in JavaScript? My development environment is Linux. Has anyone else encountered this? Am I approaching this the right way? I'm on Windows 11 using the latest version of Python. Is there a better approach? The stack includes Python and several other technologies. Am I approaching this the right way?