from __future__ import annotations

import gc
import hashlib
import json
import os
import tempfile
import time
from pathlib import Path
from unittest import mock

import pytest
from inference.core.roboflow_api import (
    delete_cached_workflow_response_if_exists, get_workflow_cache_file,
    load_cached_workflow_response)
from inference.core.utils.file_system import sanitize_path_segment


def codeflash_wrap(codeflash_wrapped, codeflash_test_module_name, codeflash_test_class_name, codeflash_test_name, codeflash_function_name, codeflash_line_id, codeflash_loop_index, *args, **kwargs):
    test_id = f'{codeflash_test_module_name}:{codeflash_test_class_name}:{codeflash_test_name}:{codeflash_line_id}:{codeflash_loop_index}'
    if not hasattr(codeflash_wrap, 'index'):
        codeflash_wrap.index = {}
    if test_id in codeflash_wrap.index:
        codeflash_wrap.index[test_id] += 1
    else:
        codeflash_wrap.index[test_id] = 0
    codeflash_test_index = codeflash_wrap.index[test_id]
    invocation_id = f'{codeflash_line_id}_{codeflash_test_index}'
    test_stdout_tag = f"{codeflash_test_module_name}:{(codeflash_test_class_name + '.' if codeflash_test_class_name else '')}{codeflash_test_name}:{codeflash_function_name}:{codeflash_loop_index}:{invocation_id}"
    print(f'!$######{test_stdout_tag}######$!')
    exception = None
    gc.disable()
    try:
        counter = time.perf_counter_ns()
        return_value = codeflash_wrapped(*args, **kwargs)
        codeflash_duration = time.perf_counter_ns() - counter
    except Exception as e:
        codeflash_duration = time.perf_counter_ns() - counter
        exception = e
    gc.enable()
    print(f'!######{test_stdout_tag}:{codeflash_duration}######!')
    if exception:
        raise exception
    return return_value

def test_load_cached_workflow_response_returns_none_when_file_not_exists():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that the function returns None when the cache file does not exist.'
    with mock.patch('inference.core.roboflow_api.MODEL_CACHE_DIR', tempfile.gettempdir()):
        with mock.patch('inference.core.roboflow_api.SINGLE_TENANT_WORKFLOW_CACHE', True):
            codeflash_return_value = codeflash_wrap(load_cached_workflow_response, 'tests.inference.unit_tests.test_load_cached_workflow_response__unit_test_1', None, 'test_load_cached_workflow_response_returns_none_when_file_not_exists', 'load_cached_workflow_response', '1_0_0', codeflash_loop_index, workspace_id='test_workspace', workflow_id='nonexistent_workflow', api_key='test_key')
            codeflash_output = codeflash_return_value
            result = codeflash_output

def test_load_cached_workflow_response_returns_valid_json():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that the function correctly loads and returns valid JSON from cache.'
    with tempfile.TemporaryDirectory() as temp_dir:
        with mock.patch('inference.core.roboflow_api.MODEL_CACHE_DIR', temp_dir):
            with mock.patch('inference.core.roboflow_api.SINGLE_TENANT_WORKFLOW_CACHE', True):
                workspace_id = 'workspace1'
                workflow_id = 'workflow1'
                api_key = 'key1'
                cache_file = get_workflow_cache_file(workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                os.makedirs(os.path.dirname(cache_file), exist_ok=True)
                test_data = {'name': 'test_workflow', 'version': 1}
                with open(cache_file, 'w') as f:
                    json.dump(test_data, f)
                codeflash_return_value = codeflash_wrap(load_cached_workflow_response, 'tests.inference.unit_tests.test_load_cached_workflow_response__unit_test_1', None, 'test_load_cached_workflow_response_returns_valid_json', 'load_cached_workflow_response', '1_0_0_7', codeflash_loop_index, workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                codeflash_output = codeflash_return_value
                result = codeflash_output

def test_load_cached_workflow_response_with_workflow_version_id():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test loading cached workflow response with workflow_version_id parameter.'
    with tempfile.TemporaryDirectory() as temp_dir:
        with mock.patch('inference.core.roboflow_api.MODEL_CACHE_DIR', temp_dir):
            with mock.patch('inference.core.roboflow_api.SINGLE_TENANT_WORKFLOW_CACHE', True):
                workspace_id = 'workspace1'
                workflow_id = 'workflow1'
                api_key = 'key1'
                workflow_version_id = 'v123'
                cache_file = get_workflow_cache_file(workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key, workflow_version_id=workflow_version_id)
                os.makedirs(os.path.dirname(cache_file), exist_ok=True)
                test_data = {'workflow_version': 'v123'}
                with open(cache_file, 'w') as f:
                    json.dump(test_data, f)
                codeflash_return_value = codeflash_wrap(load_cached_workflow_response, 'tests.inference.unit_tests.test_load_cached_workflow_response__unit_test_1', None, 'test_load_cached_workflow_response_with_workflow_version_id', 'load_cached_workflow_response', '1_0_0_8', codeflash_loop_index, workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key, workflow_version_id=workflow_version_id)
                codeflash_output = codeflash_return_value
                result = codeflash_output

def test_load_cached_workflow_response_multi_tenant_mode():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test loading cached workflow in multi-tenant mode (SINGLE_TENANT_WORKFLOW_CACHE=False).'
    with tempfile.TemporaryDirectory() as temp_dir:
        with mock.patch('inference.core.roboflow_api.MODEL_CACHE_DIR', temp_dir):
            with mock.patch('inference.core.roboflow_api.SINGLE_TENANT_WORKFLOW_CACHE', False):
                workspace_id = 'workspace1'
                workflow_id = 'workflow1'
                api_key = 'my_api_key'
                cache_file = get_workflow_cache_file(workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                os.makedirs(os.path.dirname(cache_file), exist_ok=True)
                test_data = {'mode': 'multi_tenant'}
                with open(cache_file, 'w') as f:
                    json.dump(test_data, f)
                codeflash_return_value = codeflash_wrap(load_cached_workflow_response, 'tests.inference.unit_tests.test_load_cached_workflow_response__unit_test_1', None, 'test_load_cached_workflow_response_multi_tenant_mode', 'load_cached_workflow_response', '1_0_0_7', codeflash_loop_index, workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                codeflash_output = codeflash_return_value
                result = codeflash_output

def test_load_cached_workflow_response_with_complex_json():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that complex nested JSON structures are correctly loaded.'
    with tempfile.TemporaryDirectory() as temp_dir:
        with mock.patch('inference.core.roboflow_api.MODEL_CACHE_DIR', temp_dir):
            with mock.patch('inference.core.roboflow_api.SINGLE_TENANT_WORKFLOW_CACHE', True):
                workspace_id = 'workspace1'
                workflow_id = 'workflow1'
                api_key = 'key1'
                cache_file = get_workflow_cache_file(workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                os.makedirs(os.path.dirname(cache_file), exist_ok=True)
                test_data = {'name': 'complex_workflow', 'steps': [{'id': 1, 'name': 'step1', 'params': {'key': 'value'}}, {'id': 2, 'name': 'step2', 'params': {'key': 'value'}}], 'metadata': {'created': '2024-01-01', 'tags': ['tag1', 'tag2']}}
                with open(cache_file, 'w') as f:
                    json.dump(test_data, f)
                codeflash_return_value = codeflash_wrap(load_cached_workflow_response, 'tests.inference.unit_tests.test_load_cached_workflow_response__unit_test_1', None, 'test_load_cached_workflow_response_with_complex_json', 'load_cached_workflow_response', '1_0_0_7', codeflash_loop_index, workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                codeflash_output = codeflash_return_value
                result = codeflash_output

def test_load_cached_workflow_response_corrupted_json_file():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that the function handles corrupted JSON gracefully by returning None.'
    with tempfile.TemporaryDirectory() as temp_dir:
        with mock.patch('inference.core.roboflow_api.MODEL_CACHE_DIR', temp_dir):
            with mock.patch('inference.core.roboflow_api.SINGLE_TENANT_WORKFLOW_CACHE', True):
                workspace_id = 'workspace1'
                workflow_id = 'workflow1'
                api_key = 'key1'
                cache_file = get_workflow_cache_file(workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                os.makedirs(os.path.dirname(cache_file), exist_ok=True)
                with open(cache_file, 'w') as f:
                    f.write('{invalid json content')
                codeflash_return_value = codeflash_wrap(load_cached_workflow_response, 'tests.inference.unit_tests.test_load_cached_workflow_response__unit_test_1', None, 'test_load_cached_workflow_response_corrupted_json_file', 'load_cached_workflow_response', '1_0_0_6', codeflash_loop_index, workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                codeflash_output = codeflash_return_value
                result = codeflash_output

def test_load_cached_workflow_response_empty_json_file():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that an empty JSON file returns an empty dict or raises an exception.'
    with tempfile.TemporaryDirectory() as temp_dir:
        with mock.patch('inference.core.roboflow_api.MODEL_CACHE_DIR', temp_dir):
            with mock.patch('inference.core.roboflow_api.SINGLE_TENANT_WORKFLOW_CACHE', True):
                workspace_id = 'workspace1'
                workflow_id = 'workflow1'
                api_key = 'key1'
                cache_file = get_workflow_cache_file(workspace_id=workspace_id, workflow_id=workspace_id, api_key=api_key)
                os.makedirs(os.path.dirname(cache_file), exist_ok=True)
                with open(cache_file, 'w') as f:
                    f.write('')
                codeflash_return_value = codeflash_wrap(load_cached_workflow_response, 'tests.inference.unit_tests.test_load_cached_workflow_response__unit_test_1', None, 'test_load_cached_workflow_response_empty_json_file', 'load_cached_workflow_response', '1_0_0_6', codeflash_loop_index, workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                codeflash_output = codeflash_return_value
                result = codeflash_output

def test_load_cached_workflow_response_with_none_api_key():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that the function works correctly with None as api_key.'
    with tempfile.TemporaryDirectory() as temp_dir:
        with mock.patch('inference.core.roboflow_api.MODEL_CACHE_DIR', temp_dir):
            with mock.patch('inference.core.roboflow_api.SINGLE_TENANT_WORKFLOW_CACHE', False):
                workspace_id = 'workspace1'
                workflow_id = 'workflow1'
                api_key = None
                cache_file = get_workflow_cache_file(workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                os.makedirs(os.path.dirname(cache_file), exist_ok=True)
                test_data = {'api_key': None}
                with open(cache_file, 'w') as f:
                    json.dump(test_data, f)
                codeflash_return_value = codeflash_wrap(load_cached_workflow_response, 'tests.inference.unit_tests.test_load_cached_workflow_response__unit_test_1', None, 'test_load_cached_workflow_response_with_none_api_key', 'load_cached_workflow_response', '1_0_0_7', codeflash_loop_index, workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                codeflash_output = codeflash_return_value
                result = codeflash_output

def test_load_cached_workflow_response_with_special_characters_in_workflow_id():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that special characters in workflow_id are properly sanitized.'
    with tempfile.TemporaryDirectory() as temp_dir:
        with mock.patch('inference.core.roboflow_api.MODEL_CACHE_DIR', temp_dir):
            with mock.patch('inference.core.roboflow_api.SINGLE_TENANT_WORKFLOW_CACHE', True):
                workspace_id = 'workspace@1'
                workflow_id = 'workflow#123$'
                api_key = 'key!@#'
                cache_file = get_workflow_cache_file(workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                os.makedirs(os.path.dirname(cache_file), exist_ok=True)
                test_data = {'workflow': 'special_chars'}
                with open(cache_file, 'w') as f:
                    json.dump(test_data, f)
                codeflash_return_value = codeflash_wrap(load_cached_workflow_response, 'tests.inference.unit_tests.test_load_cached_workflow_response__unit_test_1', None, 'test_load_cached_workflow_response_with_special_characters_in_workflow_id', 'load_cached_workflow_response', '1_0_0_7', codeflash_loop_index, workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                codeflash_output = codeflash_return_value
                result = codeflash_output

def test_load_cached_workflow_response_with_unicode_characters():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that unicode characters in workflow identifiers are handled correctly.'
    with tempfile.TemporaryDirectory() as temp_dir:
        with mock.patch('inference.core.roboflow_api.MODEL_CACHE_DIR', temp_dir):
            with mock.patch('inference.core.roboflow_api.SINGLE_TENANT_WORKFLOW_CACHE', True):
                workspace_id = 'workspace_ñ'
                workflow_id = 'workflow_ü'
                api_key = 'key_é'
                cache_file = get_workflow_cache_file(workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                os.makedirs(os.path.dirname(cache_file), exist_ok=True)
                test_data = {'unicode': 'café'}
                with open(cache_file, 'w') as f:
                    json.dump(test_data, f)
                codeflash_return_value = codeflash_wrap(load_cached_workflow_response, 'tests.inference.unit_tests.test_load_cached_workflow_response__unit_test_1', None, 'test_load_cached_workflow_response_with_unicode_characters', 'load_cached_workflow_response', '1_0_0_7', codeflash_loop_index, workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                codeflash_output = codeflash_return_value
                result = codeflash_output

def test_load_cached_workflow_response_with_empty_workflow_id():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that empty workflow_id is handled correctly.'
    with tempfile.TemporaryDirectory() as temp_dir:
        with mock.patch('inference.core.roboflow_api.MODEL_CACHE_DIR', temp_dir):
            with mock.patch('inference.core.roboflow_api.SINGLE_TENANT_WORKFLOW_CACHE', True):
                workspace_id = 'workspace1'
                workflow_id = ''
                api_key = 'key1'
                cache_file = get_workflow_cache_file(workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                os.makedirs(os.path.dirname(cache_file), exist_ok=True)
                test_data = {'empty_workflow': True}
                with open(cache_file, 'w') as f:
                    json.dump(test_data, f)
                codeflash_return_value = codeflash_wrap(load_cached_workflow_response, 'tests.inference.unit_tests.test_load_cached_workflow_response__unit_test_1', None, 'test_load_cached_workflow_response_with_empty_workflow_id', 'load_cached_workflow_response', '1_0_0_7', codeflash_loop_index, workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                codeflash_output = codeflash_return_value
                result = codeflash_output

def test_load_cached_workflow_response_json_with_null_values():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that JSON containing null values is correctly loaded.'
    with tempfile.TemporaryDirectory() as temp_dir:
        with mock.patch('inference.core.roboflow_api.MODEL_CACHE_DIR', temp_dir):
            with mock.patch('inference.core.roboflow_api.SINGLE_TENANT_WORKFLOW_CACHE', True):
                workspace_id = 'workspace1'
                workflow_id = 'workflow1'
                api_key = 'key1'
                cache_file = get_workflow_cache_file(workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                os.makedirs(os.path.dirname(cache_file), exist_ok=True)
                test_data = {'field1': None, 'field2': 'value', 'field3': None}
                with open(cache_file, 'w') as f:
                    json.dump(test_data, f)
                codeflash_return_value = codeflash_wrap(load_cached_workflow_response, 'tests.inference.unit_tests.test_load_cached_workflow_response__unit_test_1', None, 'test_load_cached_workflow_response_json_with_null_values', 'load_cached_workflow_response', '1_0_0_7', codeflash_loop_index, workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                codeflash_output = codeflash_return_value
                result = codeflash_output

def test_load_cached_workflow_response_json_with_boolean_values():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that JSON with boolean values is correctly loaded.'
    with tempfile.TemporaryDirectory() as temp_dir:
        with mock.patch('inference.core.roboflow_api.MODEL_CACHE_DIR', temp_dir):
            with mock.patch('inference.core.roboflow_api.SINGLE_TENANT_WORKFLOW_CACHE', True):
                workspace_id = 'workspace1'
                workflow_id = 'workflow1'
                api_key = 'key1'
                cache_file = get_workflow_cache_file(workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                os.makedirs(os.path.dirname(cache_file), exist_ok=True)
                test_data = {'enabled': True, 'disabled': False}
                with open(cache_file, 'w') as f:
                    json.dump(test_data, f)
                codeflash_return_value = codeflash_wrap(load_cached_workflow_response, 'tests.inference.unit_tests.test_load_cached_workflow_response__unit_test_1', None, 'test_load_cached_workflow_response_json_with_boolean_values', 'load_cached_workflow_response', '1_0_0_7', codeflash_loop_index, workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                codeflash_output = codeflash_return_value
                result = codeflash_output

def test_load_cached_workflow_response_json_with_numeric_values():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that JSON with various numeric types is correctly loaded.'
    with tempfile.TemporaryDirectory() as temp_dir:
        with mock.patch('inference.core.roboflow_api.MODEL_CACHE_DIR', temp_dir):
            with mock.patch('inference.core.roboflow_api.SINGLE_TENANT_WORKFLOW_CACHE', True):
                workspace_id = 'workspace1'
                workflow_id = 'workflow1'
                api_key = 'key1'
                cache_file = get_workflow_cache_file(workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                os.makedirs(os.path.dirname(cache_file), exist_ok=True)
                test_data = {'int': 42, 'float': 3.14, 'negative': -10, 'zero': 0}
                with open(cache_file, 'w') as f:
                    json.dump(test_data, f)
                codeflash_return_value = codeflash_wrap(load_cached_workflow_response, 'tests.inference.unit_tests.test_load_cached_workflow_response__unit_test_1', None, 'test_load_cached_workflow_response_json_with_numeric_values', 'load_cached_workflow_response', '1_0_0_7', codeflash_loop_index, workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                codeflash_output = codeflash_return_value
                result = codeflash_output

def test_load_cached_workflow_response_with_empty_array():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that JSON with empty arrays is correctly loaded.'
    with tempfile.TemporaryDirectory() as temp_dir:
        with mock.patch('inference.core.roboflow_api.MODEL_CACHE_DIR', temp_dir):
            with mock.patch('inference.core.roboflow_api.SINGLE_TENANT_WORKFLOW_CACHE', True):
                workspace_id = 'workspace1'
                workflow_id = 'workflow1'
                api_key = 'key1'
                cache_file = get_workflow_cache_file(workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                os.makedirs(os.path.dirname(cache_file), exist_ok=True)
                test_data = {'steps': [], 'items': []}
                with open(cache_file, 'w') as f:
                    json.dump(test_data, f)
                codeflash_return_value = codeflash_wrap(load_cached_workflow_response, 'tests.inference.unit_tests.test_load_cached_workflow_response__unit_test_1', None, 'test_load_cached_workflow_response_with_empty_array', 'load_cached_workflow_response', '1_0_0_7', codeflash_loop_index, workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                codeflash_output = codeflash_return_value
                result = codeflash_output

def test_load_cached_workflow_response_file_read_permission_error():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that permission errors are handled gracefully.'
    with tempfile.TemporaryDirectory() as temp_dir:
        with mock.patch('inference.core.roboflow_api.MODEL_CACHE_DIR', temp_dir):
            with mock.patch('inference.core.roboflow_api.SINGLE_TENANT_WORKFLOW_CACHE', True):
                workspace_id = 'workspace1'
                workflow_id = 'workflow1'
                api_key = 'key1'
                cache_file = get_workflow_cache_file(workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                os.makedirs(os.path.dirname(cache_file), exist_ok=True)
                test_data = {'data': 'test'}
                with open(cache_file, 'w') as f:
                    json.dump(test_data, f)
                os.chmod(cache_file, 0)
                try:
                    codeflash_return_value = codeflash_wrap(load_cached_workflow_response, 'tests.inference.unit_tests.test_load_cached_workflow_response__unit_test_1', None, 'test_load_cached_workflow_response_file_read_permission_error', 'load_cached_workflow_response', '1_0_0_8_0', codeflash_loop_index, workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                    codeflash_output = codeflash_return_value
                    result = codeflash_output
                finally:
                    os.chmod(cache_file, 420)

def test_load_cached_workflow_response_large_json():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test loading a large JSON structure with 1000 items.'
    with tempfile.TemporaryDirectory() as temp_dir:
        with mock.patch('inference.core.roboflow_api.MODEL_CACHE_DIR', temp_dir):
            with mock.patch('inference.core.roboflow_api.SINGLE_TENANT_WORKFLOW_CACHE', True):
                workspace_id = 'workspace1'
                workflow_id = 'workflow1'
                api_key = 'key1'
                cache_file = get_workflow_cache_file(workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                os.makedirs(os.path.dirname(cache_file), exist_ok=True)
                test_data = {'name': 'large_workflow', 'steps': [{'id': i, 'name': f'step_{i}', 'params': {'param1': f'value_{i}', 'param2': i * 2, 'param3': i % 2 == 0}} for i in range(1000)]}
                with open(cache_file, 'w') as f:
                    json.dump(test_data, f)
                codeflash_return_value = codeflash_wrap(load_cached_workflow_response, 'tests.inference.unit_tests.test_load_cached_workflow_response__unit_test_1', None, 'test_load_cached_workflow_response_large_json', 'load_cached_workflow_response', '1_0_0_7', codeflash_loop_index, workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                codeflash_output = codeflash_return_value
                result = codeflash_output

def test_load_cached_workflow_response_deep_nesting():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test loading JSON with deep nesting (1000 levels).'
    with tempfile.TemporaryDirectory() as temp_dir:
        with mock.patch('inference.core.roboflow_api.MODEL_CACHE_DIR', temp_dir):
            with mock.patch('inference.core.roboflow_api.SINGLE_TENANT_WORKFLOW_CACHE', True):
                workspace_id = 'workspace1'
                workflow_id = 'workflow1'
                api_key = 'key1'
                cache_file = get_workflow_cache_file(workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                os.makedirs(os.path.dirname(cache_file), exist_ok=True)
                test_data = {'level_0': {}}
                current = test_data['level_0']
                for i in range(1, 100):
                    current[f'level_{i}'] = {}
                    current = current[f'level_{i}']
                current['final_value'] = 'deep_value'
                with open(cache_file, 'w') as f:
                    json.dump(test_data, f)
                codeflash_return_value = codeflash_wrap(load_cached_workflow_response, 'tests.inference.unit_tests.test_load_cached_workflow_response__unit_test_1', None, 'test_load_cached_workflow_response_deep_nesting', 'load_cached_workflow_response', '1_0_0_10', codeflash_loop_index, workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                codeflash_output = codeflash_return_value
                result = codeflash_output
                current = result['level_0']
                for i in range(1, 100):
                    current = current[f'level_{i}']

def test_load_cached_workflow_response_large_string_values():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test loading JSON with very large string values.'
    with tempfile.TemporaryDirectory() as temp_dir:
        with mock.patch('inference.core.roboflow_api.MODEL_CACHE_DIR', temp_dir):
            with mock.patch('inference.core.roboflow_api.SINGLE_TENANT_WORKFLOW_CACHE', True):
                workspace_id = 'workspace1'
                workflow_id = 'workflow1'
                api_key = 'key1'
                cache_file = get_workflow_cache_file(workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                os.makedirs(os.path.dirname(cache_file), exist_ok=True)
                large_string = 'x' * 10000
                test_data = {'large_field_1': large_string, 'large_field_2': large_string * 10, 'items': [{'data': large_string} for _ in range(100)]}
                with open(cache_file, 'w') as f:
                    json.dump(test_data, f)
                codeflash_return_value = codeflash_wrap(load_cached_workflow_response, 'tests.inference.unit_tests.test_load_cached_workflow_response__unit_test_1', None, 'test_load_cached_workflow_response_large_string_values', 'load_cached_workflow_response', '1_0_0_8', codeflash_loop_index, workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                codeflash_output = codeflash_return_value
                result = codeflash_output

def test_load_cached_workflow_response_multiple_consecutive_calls():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test that consecutive calls to load the same cached workflow work correctly.'
    with tempfile.TemporaryDirectory() as temp_dir:
        with mock.patch('inference.core.roboflow_api.MODEL_CACHE_DIR', temp_dir):
            with mock.patch('inference.core.roboflow_api.SINGLE_TENANT_WORKFLOW_CACHE', True):
                workspace_id = 'workspace1'
                workflow_id = 'workflow1'
                api_key = 'key1'
                cache_file = get_workflow_cache_file(workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                os.makedirs(os.path.dirname(cache_file), exist_ok=True)
                test_data = {'name': 'test_workflow'}
                with open(cache_file, 'w') as f:
                    json.dump(test_data, f)
                for _ in range(1000):
                    codeflash_return_value = codeflash_wrap(load_cached_workflow_response, 'tests.inference.unit_tests.test_load_cached_workflow_response__unit_test_1', None, 'test_load_cached_workflow_response_multiple_consecutive_calls', 'load_cached_workflow_response', '1_0_0_7_0', codeflash_loop_index, workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                    codeflash_output = codeflash_return_value
                    result = codeflash_output

def test_load_cached_workflow_response_different_workflows():
    codeflash_loop_index = int(os.environ['CODEFLASH_LOOP_INDEX'])
    'Test loading different workflows from cache in sequence.'
    with tempfile.TemporaryDirectory() as temp_dir:
        with mock.patch('inference.core.roboflow_api.MODEL_CACHE_DIR', temp_dir):
            with mock.patch('inference.core.roboflow_api.SINGLE_TENANT_WORKFLOW_CACHE', True):
                for workflow_num in range(100):
                    workspace_id = f'workspace_{workflow_num}'
                    workflow_id = f'workflow_{workflow_num}'
                    api_key = f'key_{workflow_num}'
                    cache_file = get_workflow_cache_file(workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                    os.makedirs(os.path.dirname(cache_file), exist_ok=True)
                    test_data = {'workflow_number': workflow_num}
                    with open(cache_file, 'w') as f:
                        json.dump(test_data, f)
                    codeflash_return_value = codeflash_wrap(load_cached_workflow_response, 'tests.inference.unit_tests.test_load_cached_workflow_response__unit_test_1', None, 'test_load_cached_workflow_response_different_workflows', 'load_cached_workflow_response', '1_0_0_0_7', codeflash_loop_index, workspace_id=workspace_id, workflow_id=workflow_id, api_key=api_key)
                    codeflash_output = codeflash_return_value
                    result = codeflash_output