# JSON

# Contents of test_json.py, which must be placed in the `tests/` directory.

import json

import pytest

from swarms.tokenizers import JSON


# Fixture for reusable JSON schema file paths
@pytest.fixture
def valid_schema_path(tmp_path):
    d = tmp_path / "sub"
    d.mkdir()
    p = d / "schema.json"
    p.write_text(
        '{"type": "object", "properties": {"name": {"type":' ' "string"}}}'
    )
    return str(p)


@pytest.fixture
def invalid_schema_path(tmp_path):
    d = tmp_path / "sub"
    d.mkdir()
    p = d / "invalid_schema.json"
    p.write_text("this is not a valid JSON")
    return str(p)


# This test class must be subclassed as JSON class is abstract
class TestableJSON(JSON):
    def validate(self, data):
        # Here must be a real validation implementation for testing
        pass


# Basic tests
def test_initialize_json(valid_schema_path):
    json_obj = TestableJSON(valid_schema_path)
    assert json_obj.schema_path == valid_schema_path
    assert "name" in json_obj.schema["properties"]


def test_load_schema_failure(invalid_schema_path):
    with pytest.raises(json.JSONDecodeError):
        TestableJSON(invalid_schema_path)


# Mocking tests
def test_validate_calls_method(monkeypatch):
    # Mock the validate method to check that it is being called
    pass


# Exception tests
def test_initialize_with_nonexistent_schema():
    with pytest.raises(FileNotFoundError):
        TestableJSON("nonexistent_path.json")


# Tests on different Python versions if applicable
# ...


# Grouping tests marked as slow if they perform I/O operations
@pytest.mark.slow
def test_loading_large_schema():
    # Test with a large json file
    pass
