from __future__ import annotations

from typing import Any, Dict, List, Optional

# imports
import pytest  # used for our unit tests
from strawberry.http.__init__ import process_result
from strawberry.schema._graphql_core import (
    GraphQLIncrementalExecutionResults, ResultType)


# Mocking the types used in the function
class MockGraphQLIncrementalExecutionResults:
    pass

class MockResultType:
    def __init__(self, data: Any, errors: Optional[List[Any]] = None, extensions: Optional[Dict[str, Any]] = None):
        self.data = data
        self.errors = errors
        self.extensions = extensions

class MockFormattedError:
    def __init__(self, message: str):
        self.message = message

    @property
    def formatted(self):
        return {"message": self.message}

GraphQLHTTPResponse = Dict[str, Any]
from strawberry.http.__init__ import process_result

# unit tests

def test_basic_functionality():
    # Test with simple data, no errors, no extensions
    result = MockResultType(data={"key": "value"})
    expected = {"data": {"key": "value"}}
    codeflash_output = process_result(result)


def test_result_with_errors():
    # Test with data and one error
    error = MockFormattedError("Error message")
    result = MockResultType(data={"key": "value"}, errors=[error])
    expected = {"data": {"key": "value"}, "errors": [{"message": "Error message"}]}
    codeflash_output = process_result(result)

    # Test with data and multiple errors
    errors = [MockFormattedError("Error 1"), MockFormattedError("Error 2")]
    result = MockResultType(data={"key": "value"}, errors=errors)
    expected = {"data": {"key": "value"}, "errors": [{"message": "Error 1"}, {"message": "Error 2"}]}
    codeflash_output = process_result(result)

def test_result_with_extensions():
    # Test with data and extensions
    result = MockResultType(data={"key": "value"}, extensions={"ext_key": "ext_value"})
    expected = {"data": {"key": "value"}, "extensions": {"ext_key": "ext_value"}}
    codeflash_output = process_result(result)

    # Test with data and multiple extensions
    extensions = {"ext_key1": "ext_value1", "ext_key2": "ext_value2"}
    result = MockResultType(data={"key": "value"}, extensions=extensions)
    expected = {"data": {"key": "value"}, "extensions": extensions}
    codeflash_output = process_result(result)

def test_result_with_errors_and_extensions():
    # Test with data, errors, and extensions
    error = MockFormattedError("Error message")
    extensions = {"ext_key": "ext_value"}
    result = MockResultType(data={"key": "value"}, errors=[error], extensions=extensions)
    expected = {"data": {"key": "value"}, "errors": [{"message": "Error message"}], "extensions": extensions}
    codeflash_output = process_result(result)


def test_empty_errors_and_extensions():
    # Test with empty errors and extensions
    result = MockResultType(data={"key": "value"}, errors=[], extensions={})
    expected = {"data": {"key": "value"}}
    codeflash_output = process_result(result)

    # Test with None errors and extensions
    result = MockResultType(data={"key": "value"}, errors=None, extensions=None)
    expected = {"data": {"key": "value"}}
    codeflash_output = process_result(result)

def test_large_data_sets():
    # Test with large data set
    large_data = {f"key{i}": f"value{i}" for i in range(1000)}
    result = MockResultType(data=large_data)
    expected = {"data": large_data}
    codeflash_output = process_result(result)

    # Test with large data set, errors, and extensions
    large_errors = [MockFormattedError(f"Error {i}") for i in range(100)]
    large_extensions = {f"ext_key{i}": f"ext_value{i}" for i in range(100)}
    result = MockResultType(data=large_data, errors=large_errors, extensions=large_extensions)
    expected = {
        "data": large_data,
        "errors": [{"message": f"Error {i}"} for i in range(100)],
        "extensions": large_extensions
    }
    codeflash_output = process_result(result)

def test_mixed_data_types():
    # Test with mixed data types
    data = {"key": ["list", {"nested_dict": "value"}]}
    errors = [MockFormattedError("Error message")]
    extensions = {"ext_key": ["list", {"nested_dict": "value"}]}
    result = MockResultType(data=data, errors=errors, extensions=extensions)
    expected = {
        "data": data,
        "errors": [{"message": "Error message"}],
        "extensions": extensions
    }
    codeflash_output = process_result(result)



from __future__ import annotations

# Mocking the necessary imports from strawberry.schema._graphql_core
from unittest.mock import MagicMock

# imports
import pytest  # used for our unit tests
from strawberry.http.__init__ import process_result
from strawberry.schema._graphql_core import (
    GraphQLIncrementalExecutionResults, ResultType)

# unit tests

# Basic Test Cases