gh-116738: Make _json module safe in the free-threading build

[eendebakpt]

(updated description)

Writing JSON files (or encoding to a string) is not thread-safe in the sense that when encoding data to json while another thread is mutating the data, the result is not well-defined (this is true for both the normal and free-threading build). But the free-threading build can crash the interpreter while writing JSON because of the usage of methods like PySequence_Fast_GET_ITEM. In this PR we make the free-threading build safe by adding locks in three places in the JSON encoder.

Reading from a JSON file is safe: objects constructed are only known to the executing thread. Encoding data to JSON needs a bit more care: mutable Python objects such as a list or a dict could be modified by another thread during encoding.

• When encoding a list use Py_BEGIN_CRITICAL_SECTION_SEQUENCE_FAST to project against mutation the list
• When encoding a dict, we use a critical section for iteration over exact dicts (PyDict_Next is used there). The non-exact dicts use PyMapping_Items to create a list of tuples. PyMapping_Items itself is assumed to be thread safe, but the resulting list is not a copy and can be mutated.

Update 2025-02-10: refactored to avoid using Py_EXIT_CRITICAL_SECTION_SEQUENCE_FAST

• Issue: Audit all built-in modules for thread safety #116738

• The script below was used to test the free-threading implementation. Similar code was added to the tests.

Test script

import json
from threading import Thread
import time

class JsonThreadingTest:
    
    def __init__(self, number_of_threads=4, number_of_json_dumps=10):
    
        self.data = [ [], [], {}, {}, {}]
        self.json = {str(ii): d for ii, d in enumerate(self.data)}
        self.results =[]
        self.number_of_threads=number_of_threads
        self.number_of_json_dumps =number_of_json_dumps
            
    def modify(self, index):
        while self.continue_thread:
            for d in self.data:
                if isinstance(d, list ):
                    if len(d)>20:
                        d.clear()
                    else:
                        d.append(index)
                else:
                    if len(d)>20:
                        try:
                            d.pop(list(d)[0])
                        except KeyError:
                            pass
                    else:
                        if index%2:                            
                            d[index] = index
                        else:
                            d[bytes(index)] = bytes(index)
                    
    def test(self):
        self.continue_thread = True
        self.modifying_threads = []
        for ii in range(self.number_of_threads):
            t = Thread(target=self.modify, args=[ii])
            self.modifying_threads.append(t)

        self.results.clear()
        for t in self.modifying_threads:
            print(f'start {t}')
            t.start()
            
        for ii in range(self.number_of_json_dumps):
            print(f'dump {ii}')
            time.sleep(0.01)
            
            indent = ii if ii%3==0 else None
            if ii%5==0:
                try:
                    j = json.dumps(self.data, indent=indent, skipkeys=True)
                except TypeError:
                        pass
            else:
                j = json.dumps(self.data, indent=indent)
            self.results.append(j)
        self.continue_thread= False
        
        print([hash(r) for r in self.results])
            


t=JsonThreadingTest(number_of_json_dumps=102, number_of_threads=8)
t0=time.time()
t.test()
dt=time.time()-t0
print(t.results[-1])        
print(f'Done: {dt:.2f}')

• The test script with t=JsonThreadingTest(number_of_json_dumps=102, number_of_threads=8) is a factor 25 faster using free-threading. Nice!

[nineteendo]

You need to include the file that defines that macro.

[nineteendo]

Revert newlines

[kumaraditya303]

Thanks!