JSONDecodeError: Expecting Value: Line 1, Column 1
Problem:
An error occurs when attempting to decode JSON using the line "return json.loads(response_json)", prompting "Expecting value: line 1, column 1 (char 0)."
Analysis:
The error suggests that the "response_json" variable, which holds the JSON response, is either empty or malformed. Several factors could contribute to this issue:
- Empty Response Body: Verify that the API call is returning a non-empty response body.
- Non-200 Status Code: Ensure that the API call results in a 200-range status code. Errors like 404 (Not Found) can produce an empty response.
- Content-Type Header: Check the Content-Type header of the response to confirm that it indicates a JSON response.
Solution:
To resolve the issue, consider the following:
-
Check for Empty Response: Use an if statement to verify that the "response_json" variable is not empty before attempting to decode it.
-
Catch the Exception: Enclose the "json.loads" call within a try/except block to handle the JSONDecodeError.
-
Use a Robust HTTP Library: Replace the usage of pycurl with a more user-friendly library like Requests or httpx, which provide better JSON support.
Alternative Implementations:
Using Requests:
import requests
response = requests.get(url)
response.raise_for_status() # raises exception when not a 2xx response
if response.status_code != 204:
return response.json()
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Using httpx:
import httpx
async with httpx.AsyncClient() as client:
response = await client.get(url)
response.raise_for_status() # raises exception when not a 2xx response
if response.status_code != 204:
return response.json()
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Additional Notes:
- The simplejson library is not necessary as the Python standard library provides a similar "json" module with JSON encoding and decoding capabilities.
- UTF-8 decoding is handled automatically by the "json.loads" method.
- Consider using a JSON validator or linter to ensure that the JSON response is well-formed.
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