Bug: get_data() crashes on API errors and Python 3.13

[parthashirolkar]

I've been trying to use datagovindia to fetch data from a resource (60a68cec-7d1a-4e0e-a7eb-73ee1c7f29b7) but hit two issues:

Issue 1: KeyError when API times out

When the data.gov.in API returns a 504 or similar error, get_data() crashes:

Traceback (most recent call last):
  File "test.py", line 9, in <module>
    data = client.get_data("60a68cec-7d1a-4e0e-a7eb-73ee1c7f29b7")
  File ".../datagovindia/__init__.py", line 509, in get_data
    limit = self.get_resource_info(resource_id)["total"]
            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^
KeyError: 'total'

The problem is on line 509 where it tries to access ["total"] but get_resource_info() returns {} when the API fails (via the retry logic in get_api_info()).

This makes the library unusable whenever the API is temporarily unstable.

Issue 2: Pickle error in Python 3.13

Even when I specify a limit to avoid the first issue, I get a different error in Python 3.13:

multiprocessing.pool.MaybeEncodingError: Error sending result: '...'. 
Reason: 'TypeError("cannot pickle '_thread.RLock' object")'

This happens because the @retry decorator on make_request_with_retry() creates unpicklable state (an RLock), and then pool.map() tries to serialize it when sending results back from worker processes.

Test case

from datagovindia import DataGovIndia

client = DataGovIndia()

# Either of these will crash:
data = client.get_data("60a68cec-7d1a-4e0e-a7eb-73ee1c7f29b7")  # KeyError
data = client.get_data("60a68cec-7d1a-4e0e-a7eb-73ee1c7f29b7", limit=10)  # Pickle error (Python 3.13)

Possible fixes

For issue 1: Check if resource_info is empty or doesn't contain "total" before trying to access it.

For issue 2: Create a non-decorated wrapper function for make_request_with_retry() that gets passed to the multiprocessing pool, or disable multiprocessing by default.

Happy to submit a PR if you're interested.