diff --git a/tests/data/rsp_cache.json b/tests/data/rsp_cache.json
index 6ee41e076..2257878e2 100644
--- a/tests/data/rsp_cache.json
+++ b/tests/data/rsp_cache.json
@@ -383,5 +383,11 @@
     "[{\"role\": \"system\", \"content\": \"You are an AI Python assistant. You will be given your previous implementation code of a task, runtime error results, and a hint to change the implementation appropriately. Write your full implementation \"}, {\"role\": \"user\", \"content\": \"\\nHere is an example for you.\\n\\nExample 1:\\n[previous impl]:\\n```python\\ndef add(a: int, b: int) -> int:\\n   \\\"\\\"\\\"\\n   Given integers a and b, return the total value of a and b.\\n   \\\"\\\"\\\"\\n   return a - b\\n```\\n\\n[runtime Error]:\\nTested passed:\\n\\nTests failed:\\nassert add(1, 2) == 3 # output: -1\\nassert add(1, 2) == 4 # output: -1\\n\\n[reflection on previous impl]:\\nThe implementation failed the test cases where the input integers are 1 and 2. The issue arises because the code does not add the two integers together, but instead subtracts the second integer from the first. To fix this issue, we should change the operator from `-` to `+` in the return statement. This will ensure that the function returns the correct output for the given input.\\n\\n[improved impl]:\\n```python\\ndef add(a: int, b: int) -> int:\\n   \\\"\\\"\\\"\\n   Given integers a and b, return the total value of a and b.\\n   \\\"\\\"\\\"\\n   return a + b\\n```\\n\\n[context]\\nSolve the problem in Python:\\ndef sort_array(arr):\\n    \\\"\\\"\\\"\\n    In this Kata, you have to sort an array of non-negative integers according to\\n    number of ones in their binary representation in ascending order.\\n    For similar number of ones, sort based on decimal value.\\n\\n    It must be implemented like this:\\n    >>> sort_array([1, 5, 2, 3, 4]) == [1, 2, 3, 4, 5]\\n    >>> sort_array([-2, -3, -4, -5, -6]) == [-6, -5, -4, -3, -2]\\n    >>> sort_array([1, 0, 2, 3, 4]) [0, 1, 2, 3, 4]\\n    \\\"\\\"\\\"\\n\\n\\n[previous impl]\\n\\ndef sort_array(arr):\\n    # Helper function to count the number of ones in the binary representation\\n    def count_ones(n):\\n        return bin(n).count('1')\\n    \\n    # Sort the array using a custom key function\\n    # The key function returns a tuple (number of ones, value) for each element\\n    # This ensures that if two elements have the same number of ones, they are sorted by their value\\n    sorted_arr = sorted(arr, key=lambda x: (count_ones(x), x))\\n    \\n    return sorted_arr\\n```\\n\\n[runtime Error]\\n[user: Tested passed:\\n\\nTests failed:\\nassert sort_array([1, 5, 2, 3, 4]) == [1, 2, 3, 4, 5] # output: [1, 2, 4, 3, 5]\\n]\\n\\nAnalysis the error step by step, provide me improve method and code. Remember to follow [context] requirement. Don't forget write code for steps behind the error step.\\n[reflection on previous impl]:\\nxxx\\n\"}]": {
         "reflection": "The implementation failed the test case where the input array is [1, 5, 2, 3, 4]. The issue arises because the code does not correctly sort the array based on the number of ones in their binary representation followed by their decimal value. The error in the output indicates that the numbers 3 and 4 are not in the expected positions. The binary representations of 3 and 4 are '11' and '100', respectively, which means 3 has more ones than 4 and should come before 4 in the sorted array. To fix this issue, we need to ensure that the sorting is stable so that when two numbers have the same number of ones, they retain their original order if their decimal values are the same. We can achieve this by using the 'stable' sorting algorithm provided by Python's sorted function. Additionally, we need to handle negative numbers correctly by taking the absolute value before counting the ones in their binary representation.",
         "improved_impl": "def sort_array(arr):\n    # Helper function to count the number of ones in the binary representation\n    def count_ones(n):\n        return bin(abs(n)).count('1')\n    \n    # Sort the array using a custom key function\n    # The key function returns a tuple (number of ones, value) for each element\n    # This ensures that if two elements have the same number of ones, they are sorted by their value\n    # Using 'stable' sorting algorithm to maintain the original order when necessary\n    sorted_arr = sorted(arr, key=lambda x: (count_ones(x), x), reverse=False)\n    \n    return sorted_arr"
+    },
+    "[{\"role\": \"user\", \"content\": \"Interface definition:\\n```text\\nInterface Name: Element Tagging\\nInterface Path: /projects/{project_key}/node-tags\\nMethod: POST\\n\\nRequest parameters:\\nPath parameters:\\nproject_key\\n\\nBody parameters:\\nName\\tType\\tRequired\\tDefault Value\\tRemarks\\nnodes\\tarray\\tYes\\t\\tNodes\\n\\tnode_key\\tstring\\tNo\\t\\tNode key\\n\\ttags\\tarray\\tNo\\t\\tOriginal node tag list\\n\\tnode_type\\tstring\\tNo\\t\\tNode type DATASET / RECIPE\\noperations\\tarray\\tYes\\t\\t\\n\\ttags\\tarray\\tNo\\t\\tOperation tag list\\n\\tmode\\tstring\\tNo\\t\\tOperation type ADD / DELETE\\n\\nReturn data:\\nName\\tType\\tRequired\\tDefault Value\\tRemarks\\ncode\\tinteger\\tYes\\t\\tStatus code\\nmsg\\tstring\\tYes\\t\\tPrompt message\\ndata\\tobject\\tYes\\t\\tReturned data\\nlist\\tarray\\tNo\\t\\tNode list true / false\\nnode_type\\tstring\\tNo\\t\\tNode type DATASET / RECIPE\\nnode_key\\tstring\\tNo\\t\\tNode key\\n```\\n\\nUnit test：\\n```python\\n@pytest.mark.parametrize(\\n\\\"project_key, nodes, operations, expected_msg\\\",\\n[\\n(\\\"project_key\\\", [{\\\"node_key\\\": \\\"dataset_001\\\", \\\"tags\\\": [\\\"tag1\\\", \\\"tag2\\\"], \\\"node_type\\\": \\\"DATASET\\\"}], [{\\\"tags\\\": [\\\"new_tag1\\\"], \\\"mode\\\": \\\"ADD\\\"}], \\\"success\\\"),\\n(\\\"project_key\\\", [{\\\"node_key\\\": \\\"dataset_002\\\", \\\"tags\\\": [\\\"tag1\\\", \\\"tag2\\\"], \\\"node_type\\\": \\\"DATASET\\\"}], [{\\\"tags\\\": [\\\"tag1\\\"], \\\"mode\\\": \\\"DELETE\\\"}], \\\"success\\\"),\\n(\\\"\\\", [{\\\"node_key\\\": \\\"dataset_001\\\", \\\"tags\\\": [\\\"tag1\\\", \\\"tag2\\\"], \\\"node_type\\\": \\\"DATASET\\\"}], [{\\\"tags\\\": [\\\"new_tag1\\\"], \\\"mode\\\": \\\"ADD\\\"}], \\\"Missing the required parameter project_key\\\"),\\n(123, [{\\\"node_key\\\": \\\"dataset_001\\\", \\\"tags\\\": [\\\"tag1\\\", \\\"tag2\\\"], \\\"node_type\\\": \\\"DATASET\\\"}], [{\\\"tags\\\": [\\\"new_tag1\\\"], \\\"mode\\\": \\\"ADD\\\"}], \\\"Incorrect parameter type\\\"),\\n(\\\"project_key\\\", [{\\\"node_key\\\": \\\"a\\\"*201, \\\"tags\\\": [\\\"tag1\\\", \\\"tag2\\\"], \\\"node_type\\\": \\\"DATASET\\\"}], [{\\\"tags\\\": [\\\"new_tag1\\\"], \\\"mode\\\": \\\"ADD\\\"}], \\\"Request parameter exceeds field boundary\\\")\\n]\\n)\\ndef test_node_tags(project_key, nodes, operations, expected_msg):\\n    pass\\n\\n# The above is an interface definition and a unit test example.\\n# Next, please play the role of an expert test manager with 20 years of experience at Google. When I give the interface definition, \\n# reply to me with a unit test. There are several requirements:\\n# 1. Only output one `@pytest.mark.parametrize` and the corresponding test_<interface name> function (inside pass, do not implement).\\n# -- The function parameter contains expected_msg for result verification.\\n# 2. The generated test cases use shorter text or numbers and are as compact as possible.\\n# 3. If comments are needed, use Chinese.\\n\\n# If you understand, please wait for me to give the interface definition and just answer \\\"Understood\\\" to save tokens.\\n\"}, {\"role\": \"user\", \"content\": \"Refer to the test types: such as SQL injection, cross-site scripting (XSS), unauthorized access and privilege escalation, \\nauthentication and authorization, parameter verification, exception handling, file upload and download.\\nPlease output 10 test cases within one `@pytest.mark.parametrize` scope.\\n```text\\nAPI Name: 获取 model 详情(job专用-后续开放给sdk)\\nAPI Path: /v1/projects/{project_key}/jobs/{job_id}/models/{model_key}\\nMethod: GET\\n\\nRequest Parameters:\\nPath Parameters:\\nproject_key \\njob_id \\nmodel_key \\n\\nBody Parameters:\\nName\\tType\\tRequired\\tDefault Value\\tRemarks\\nproject_key\\tstring\\tYes\\t\\t\\njob_id\\tstring\\tYes\\t\\t\\nmodel_key\\tstring\\tYes\\t\\t\\n\\nResponse Data:\\nName\\tType\\tRequired\\tDefault Value\\tRemarks\\ncode\\tnumber\\tYes\\t\\t0成功，非0失败\\nmsg\\tstring\\tYes\\t\\t如果失败，这里有错误信息\\ndata\\tobject\\tYes\\t\\tdata信息\\n\\tproject_key\\tstring\\tNo\\t\\tproject key\\n\\tname\\tstring\\tNo\\t\\t用户可修改的name\\n\\tmodel\\tobject\\tNo\\t\\tmodel信息\\n\\t\\ttype\\tstring\\tNo\\t\\tdataset type\\n\\t\\tmanaged\\tboolean\\tNo\\t\\t为false时是第一类dataset，数据不可删除\\n\\t\\tname\\tstring\\tNo\\t\\t用户可修改的name\\n\\t\\tproject_key\\tstring\\tNo\\t\\tproject key\\n\\t\\tformat_type\\tstring\\tNo\\t\\t文件类型的dataset才有这项。“csv”\\n\\t\\tflow_options\\tobject\\tNo\\t\\t创建dataset时的高级设置\\n\\t\\t\\tvirtualizable\\tboolean\\tNo\\t\\t高级设置里的参数。缺省false\\n\\t\\t\\trebuild_behavior\\tstring\\tNo\\t\\t高级设置里的参数。缺省NORMAL\\n\\t\\t\\tcross_project_build_behavior\\tstring\\tNo\\t\\t高级设置里的参数。缺省DEFAULT\\n\\t\\tformat_params\\tobject\\tNo\\t\\t文件类型的dataset才有\\n\\t\\t\\tstyle\\tstring\\tNo\\t\\t\\n\\t\\t\\tcharset\\tstring\\tNo\\t\\t\\n\\t\\t\\tseparator\\tstring\\tNo\\t\\t\\n\\t\\t\\tquote_char\\tstring\\tNo\\t\\t\\n\\t\\t\\tescape_char\\tstring\\tNo\\t\\t\\n\\t\\t\\tdate_serialization_format\\tstring\\tNo\\t\\t\\n\\t\\t\\tarray_map_format\\tstring\\tNo\\t\\t\\n\\t\\t\\thive_separators\\tarray\\tNo\\t\\t\\n\\t\\t\\tskip_rows_before_header\\tnumber\\tNo\\t\\t\\n\\t\\t\\tparse_header_row\\tboolean\\tNo\\t\\t\\n\\t\\t\\tskip_rows_after_header\\tnumber\\tNo\\t\\t\\n\\t\\t\\tprobable_number_of_records\\tnumber\\tNo\\t\\t\\n\\t\\t\\tnormalize_booleans\\tboolean\\tNo\\t\\t\\n\\t\\t\\tnormalize_doubles\\tboolean\\tNo\\t\\t\\n\\t\\ttags\\tarray\\tNo\\t\\t标签tags\\n\\t\\tparams\\tobject\\tNo\\t\\t必有这项，但不同类型的dataset里面的key有差别\\n\\t\\t\\tconnection\\tstring\\tNo\\t\\tconnection id,到db查其他参数\\n\\t\\t\\tpath\\tstring\\tNo\\t\\t文件类connection才有这项\\n\\t\\t\\ttable\\tstring\\tNo\\t\\tdb表名，DB类connection才有这项\\n\\t\\t\\tmode\\tstring\\tNo\\t\\t存储类型，比如“table\\\",DB类connection才有这项\\n\\t\\t\\tbucket\\tstring\\tNo\\t\\tS3类型的connection才有这项\\n\\t\\t\\tkey_name\\tstring\\tNo\\t\\tredis才有，key name\\n\\t\\t\\tkey_type\\tstring\\tNo\\t\\tredis才有，key type\\n\\t\\t\\tcollection\\tstring\\tNo\\t\\t非关系型数据库才有，collection name\\n\\t\\t\\tindex\\tstring\\tNo\\t\\t索引类型的才有这项\\n\\t\\t\\tnot_ready_if_empty\\tboolean\\tNo\\t\\t数据非空才认为是data ready\\n\\t\\t\\tfiles_selection_rules\\tobject\\tNo\\t\\t\\n\\t\\t\\t\\tmode\\tstring\\tNo\\t\\t\\n\\t\\t\\t\\texclude_rules\\tarray\\tNo\\t\\t\\n\\t\\t\\t\\tinclude_rules\\tarray\\tNo\\t\\t\\n\\t\\t\\t\\texplicit_files\\tarray\\tNo\\t\\t\\n\\t\\tschema\\tobject\\tNo\\t\\tcolumns信息在这里\\n\\t\\t\\tcolumns\\tarray\\tNo\\t\\t\\n\\t\\t\\t\\tname\\tstring\\tNo\\t\\t\\n\\t\\t\\t\\ttype\\tstring\\tNo\\t\\t\\n\\t\\t\\t\\torigin_type\\tstring\\tNo\\t\\t\\n\\t\\t\\tuser_modified\\tboolean\\tNo\\t\\t\\n\\t\\tcustom_fields\\tobject\\tNo\\t\\t自定义fields\\n\\t\\tlast_build\\tobject\\tNo\\t\\t最后一次构建的信息\\n\\t\\t\\tproject_key\\tstring\\tNo\\t\\tproject key\\n\\t\\t\\tid\\tstring\\tNo\\t\\tactivity id\\n\\t\\t\\tjob_id\\tstring\\tNo\\t\\tjob id\\n\\t\\t\\tjob_project_key\\tstring\\tNo\\t\\t\\n\\t\\t\\tbuild_start_time\\tnumber\\tNo\\t\\t构建开始时间\\n\\t\\t\\tbuild_end_time\\tnumber\\tNo\\t\\t构建结束时间\\n\\t\\t\\tbuild_success\\tstring\\tNo\\t\\tsuccess或failed\\n\\t\\tobject_key\\tstring\\tNo\\t\\tdataset_key，后台用的id，用户不可见不可改\\n\\t\\tcache\\tobject\\tNo\\t\\t下载缓存数据链接\\n\\t\\t\\ts3_path\\tstring\\tNo\\t\\t\\n\\tstatus\\tobject\\tNo\\t\\t数据状态\\n\\t\\tsize\\tobject\\tNo\\t\\t数据大小信息\\n\\t\\t\\ttotal_value\\tnumber\\tNo\\t\\t占多少字节磁盘\\n\\t\\t\\tlast_computed\\tnumber\\tNo\\t\\t\\n\\t\\t\\tfirst_computed\\tnumber\\tNo\\t\\t\\n\\t\\t\\thas_data\\tboolean\\tNo\\t\\t是否有数据，这个影响前端的图标显示\\n\\t\\t\\tincomplete\\tboolean\\tNo\\t\\t\\n\\t\\trecords\\tobject\\tNo\\t\\t\\n\\t\\t\\ttotal_value\\tnumber\\tNo\\t\\t\\n\\t\\t\\tlast_computed\\tnumber\\tNo\\t\\t\\n\\t\\t\\tfirst_computed\\tnumber\\tNo\\t\\t\\n\\t\\t\\thas_data\\tboolean\\tNo\\t\\t是否有数据，这个影响前端的图标显示\\n\\t\\t\\tincomplete\\tboolean\\tNo\\t\\t\\n\\t\\tpartitions_last_compute\\tnumber\\tNo\\t\\t\\n\\t\\tpartitions\\tnumber\\tNo\\t\\t\\n\\tbuildable\\tboolean\\tNo\\t\\t有recipe时为true\\n\\theaders\\tarray\\tNo\\t\\t\\n\\t\\tdataset_schema\\tobject\\tNo\\t\\t\\n\\t\\t\\tname\\tstring\\tNo\\t字段名称\\t\\n\\t\\t\\ttype\\tstring\\tNo\\t字段类型\\t\\n\\t\\tnormal_rate\\tobject\\tNo\\t缺失值统计信息\\t\\n\\n```\"}]": {
+        "code": "import string\nimport random\n\ndef random_string(length=10):\n    return ''.join(random.choice(string.ascii_lowercase) for i in range(length))"
+    },
+    "[{\"role\": \"user\", \"content\": \"Interface definition:\\n```text\\nInterface Name: Element Tagging\\nInterface Path: /projects/{project_key}/node-tags\\nMethod: POST\\n\\nRequest parameters:\\nPath parameters:\\nproject_key\\n\\nBody parameters:\\nName\\tType\\tRequired\\tDefault Value\\tRemarks\\nnodes\\tarray\\tYes\\t\\tNodes\\n\\tnode_key\\tstring\\tNo\\t\\tNode key\\n\\ttags\\tarray\\tNo\\t\\tOriginal node tag list\\n\\tnode_type\\tstring\\tNo\\t\\tNode type DATASET / RECIPE\\noperations\\tarray\\tYes\\t\\t\\n\\ttags\\tarray\\tNo\\t\\tOperation tag list\\n\\tmode\\tstring\\tNo\\t\\tOperation type ADD / DELETE\\n\\nReturn data:\\nName\\tType\\tRequired\\tDefault Value\\tRemarks\\ncode\\tinteger\\tYes\\t\\tStatus code\\nmsg\\tstring\\tYes\\t\\tPrompt message\\ndata\\tobject\\tYes\\t\\tReturned data\\nlist\\tarray\\tNo\\t\\tNode list true / false\\nnode_type\\tstring\\tNo\\t\\tNode type DATASET / RECIPE\\nnode_key\\tstring\\tNo\\t\\tNode key\\n```\\n\\nUnit test：\\n```python\\n@pytest.mark.parametrize(\\n\\\"project_key, nodes, operations, expected_msg\\\",\\n[\\n(\\\"project_key\\\", [{\\\"node_key\\\": \\\"dataset_001\\\", \\\"tags\\\": [\\\"tag1\\\", \\\"tag2\\\"], \\\"node_type\\\": \\\"DATASET\\\"}], [{\\\"tags\\\": [\\\"new_tag1\\\"], \\\"mode\\\": \\\"ADD\\\"}], \\\"success\\\"),\\n(\\\"project_key\\\", [{\\\"node_key\\\": \\\"dataset_002\\\", \\\"tags\\\": [\\\"tag1\\\", \\\"tag2\\\"], \\\"node_type\\\": \\\"DATASET\\\"}], [{\\\"tags\\\": [\\\"tag1\\\"], \\\"mode\\\": \\\"DELETE\\\"}], \\\"success\\\"),\\n(\\\"\\\", [{\\\"node_key\\\": \\\"dataset_001\\\", \\\"tags\\\": [\\\"tag1\\\", \\\"tag2\\\"], \\\"node_type\\\": \\\"DATASET\\\"}], [{\\\"tags\\\": [\\\"new_tag1\\\"], \\\"mode\\\": \\\"ADD\\\"}], \\\"Missing the required parameter project_key\\\"),\\n(123, [{\\\"node_key\\\": \\\"dataset_001\\\", \\\"tags\\\": [\\\"tag1\\\", \\\"tag2\\\"], \\\"node_type\\\": \\\"DATASET\\\"}], [{\\\"tags\\\": [\\\"new_tag1\\\"], \\\"mode\\\": \\\"ADD\\\"}], \\\"Incorrect parameter type\\\"),\\n(\\\"project_key\\\", [{\\\"node_key\\\": \\\"a\\\"*201, \\\"tags\\\": [\\\"tag1\\\", \\\"tag2\\\"], \\\"node_type\\\": \\\"DATASET\\\"}], [{\\\"tags\\\": [\\\"new_tag1\\\"], \\\"mode\\\": \\\"ADD\\\"}], \\\"Request parameter exceeds field boundary\\\")\\n]\\n)\\ndef test_node_tags(project_key, nodes, operations, expected_msg):\\n    pass\\n\\n# The above is an interface definition and a unit test example.\\n# Next, please play the role of an expert test manager with 20 years of experience at Google. When I give the interface definition, \\n# reply to me with a unit test. There are several requirements:\\n# 1. Only output one `@pytest.mark.parametrize` and the corresponding test_<interface name> function (inside pass, do not implement).\\n# -- The function parameter contains expected_msg for result verification.\\n# 2. The generated test cases use shorter text or numbers and are as compact as possible.\\n# 3. If comments are needed, use Chinese.\\n\\n# If you understand, please wait for me to give the interface definition and just answer \\\"Understood\\\" to save tokens.\\n\"}, {\"role\": \"user\", \"content\": \"Refer to the test types: such as SQL injection, cross-site scripting (XSS), unauthorized access and privilege escalation, \\nauthentication and authorization, parameter verification, exception handling, file upload and download.\\nPlease output 10 test cases within one `@pytest.mark.parametrize` scope.\\n```text\\nAPI Name: 获取managed folder详情（job专用)\\nAPI Path: /v1/projects/{project_key}/jobs/{job_id}/folders/{folder_key}\\nMethod: GET\\n\\nRequest Parameters:\\nPath Parameters:\\nproject_key \\njob_id \\nfolder_key \\n\\nBody Parameters:\\nName\\tType\\tRequired\\tDefault Value\\tRemarks\\nproject_key\\tstring\\tYes\\t\\t\\njob_id\\tstring\\tYes\\t\\t\\nfolder_key\\tstring\\tYes\\t\\t\\n\\nResponse Data:\\nName\\tType\\tRequired\\tDefault Value\\tRemarks\\ncode\\tnumber\\tYes\\t\\t0成功，非0失败\\nmsg\\tstring\\tYes\\t\\t失败时这里有错误信息\\ndata\\tobject\\tYes\\t\\t\\n\\tproject_key\\tstring\\tNo\\t\\tproject key\\n\\tfolder\\tobject\\tNo\\t\\tfolder配置在这里\\n\\t\\tproject_key\\tstring\\tNo\\t\\tproject key\\n\\t\\tobject_key\\tstring\\tNo\\t\\tobject key\\n\\t\\tname\\tstring\\tNo\\t\\t用户可编辑的那个name\\n\\t\\ttype\\tstring\\tNo\\t\\tfolder类型，与connection有关\\n\\t\\tparams\\tobject\\tNo\\t\\t数据读写相关配置在这里\\n\\t\\t\\tconnection\\tstring\\tNo\\t\\tconnection id\\n\\t\\t\\tpath\\tstring\\tNo\\t\\t文件夹内容存放的相对路径\\n\\t\\t\\tnot_ready_if_empty\\tboolean\\tNo\\t\\treserved\\n\\t\\t\\tfiles_selection_rules\\tobject\\tNo\\t\\t文件过滤规则\\n\\t\\t\\t\\tmode\\tstring\\tNo\\t\\tALL\\n\\t\\t\\t\\texclude_rules\\tarray\\tNo\\t\\t排除规则\\n\\t\\t\\t\\tinclude_rules\\tarray\\tNo\\t\\t\\n\\t\\t\\t\\texplicit_files\\tarray\\tNo\\t\\t\\n\\t\\tflow_options\\tobject\\tNo\\t\\tflow参数\\n\\t\\t\\tvirtualizable\\tboolean\\tNo\\t\\t\\n\\t\\t\\trebuild_behavior\\tstring\\tNo\\t\\t构建方式\\n\\t\\t\\tcross_project_build_behavior\\tstring\\tNo\\t\\t\\n\\t\\tmetrics\\tobject\\tNo\\t\\t\\n\\t\\t\\tprobes\\tarray\\tNo\\t\\t\\n\\t\\t\\t\\ttype\\tstring\\tNo\\t\\t\\n\\t\\t\\t\\tenabled\\tboolean\\tNo\\t\\t\\n\\t\\t\\t\\tcompute_on_build_mode\\tstring\\tNo\\t\\t\\n\\t\\t\\t\\tmeta\\tobject\\tNo\\t\\t\\n\\t\\t\\t\\t\\tname\\tstring\\tNo\\t\\t\\n\\t\\t\\t\\t\\tlevel\\tnumber\\tNo\\t\\t\\n\\t\\t\\t\\tconfiguration\\tobject\\tNo\\t\\t\\n\\t\\t\\tengine_config\\tobject\\tNo\\t\\t\\n\\t\\t\\t\\tpad_runs_with_metrics\\tboolean\\tNo\\t\\t\\n\\t\\t\\t\\thive\\tobject\\tNo\\t\\t\\n\\t\\t\\t\\t\\tactive\\tboolean\\tNo\\t\\t\\n\\t\\t\\t\\t\\textra_conf\\tarray\\tNo\\t\\t\\n\\t\\t\\t\\tbasic\\tobject\\tNo\\t\\t\\n\\t\\t\\t\\tdss\\tobject\\tNo\\t\\t\\n\\t\\t\\t\\t\\tactive\\tboolean\\tNo\\t\\t\\n\\t\\t\\t\\t\\tselection\\tobject\\tNo\\t\\t\\n\\t\\t\\t\\t\\t\\tuse_mem_table\\tboolean\\tNo\\t\\t\\n\\t\\t\\t\\t\\t\\tfilter\\tobject\\tNo\\t\\t\\n\\t\\t\\t\\t\\t\\t\\tdistinct\\tboolean\\tNo\\t\\t\\n\\t\\t\\t\\t\\t\\t\\tenabled\\tboolean\\tNo\\t\\t\\n\\t\\t\\t\\t\\t\\tpartition_selection_method\\tstring\\tNo\\t\\t\\n\\t\\t\\t\\t\\t\\tlatest_partitions_n\\tnumber\\tNo\\t\\t\\n\\t\\t\\t\\t\\t\\tordering\\tobject\\tNo\\t\\t\\n\\t\\t\\t\\t\\t\\t\\tenabled\\tboolean\\tNo\\t\\t\\n\\t\\t\\t\\t\\t\\t\\trules\\tarray\\tNo\\t\\t\\n\\t\\t\\t\\t\\t\\tsampling_method\\tstring\\tNo\\t\\t\\n\\t\\t\\t\\t\\t\\tmax_records\\tnumber\\tNo\\t\\t\\n\\t\\t\\t\\t\\t\\ttarget_ratio\\tnumber\\tNo\\t\\t\\n\\t\\t\\t\\t\\t\\twithin_first_n\\tnumber\\tNo\\t\\t\\n\\t\\t\\t\\t\\t\\tmax_read_uncompressed_bytes\\tnumber\\tNo\\t\\t\\n\\t\\t\\t\\tsql\\tobject\\tNo\\t\\t\\n\\t\\t\\t\\t\\tactive\\tboolean\\tNo\\t\\t\\n\\t\\t\\t\\timpala\\tobject\\tNo\\t\\t\\n\\t\\t\\t\\t\\tactive\\tboolean\\tNo\\t\\t\\n\\t\\t\\t\\tspark\\tobject\\tNo\\t\\t\\n\\t\\t\\t\\t\\tactive\\tboolean\\tNo\\t\\t\\n\\t\\t\\t\\t\\textra_conf\\tarray\\tNo\\t\\t\\n\\t\\t\\t\\tpython\\tobject\\tNo\\t\\t\\n\\t\\t\\tdisplayed_state\\tobject\\tNo\\t\\t\\n\\t\\t\\t\\tpartition\\tstring\\tNo\\t\\t\\n\\t\\t\\t\\tcolumns\\tarray\\tNo\\t\\t\\n\\t\\t\\t\\tmetrics\\tarray\\tNo\\t\\t\\n\\t\\tchecks\\tobject\\tNo\\t\\t\\n\\t\\t\\trun_on_build\\tboolean\\tNo\\t\\t\\n\\t\\t\\tchecks\\tarray\\tNo\\t\\t\\n\\t\\t\\tdisplayed_state\\tobject\\tNo\\t\\t\\n\\t\\t\\t\\tpartition\\tstring\\tNo\\t\\t\\n\\t\\t\\t\\tchecks\\tarray\\tNo\\t\\t\\n\\t\\tversion_tag\\tobject\\tNo\\t\\t配置版本信息\\n\\t\\t\\tversion_number\\tnumber\\tNo\\t\\t\\n\\t\\t\\tlast_modified_by\\tobject\\tNo\\t\\t\\n\\t\\t\\t\\tlogin\\tstring\\tNo\\t\\t\\n\\t\\t\\tlast_modified_on\\tnumber\\tNo\\t\\t修改时间unix time ms\\n\\t\\tcreation_tag\\tobject\\tNo\\t\\t配置创建时间\\n\\t\\t\\tversion_number\\tnumber\\tNo\\t\\t1\\n\\t\\t\\tlast_modified_by\\tobject\\tNo\\t\\t\\n\\t\\t\\t\\tlogin\\tstring\\tNo\\t\\t\\n\\t\\t\\tlast_modified_on\\tnumber\\tNo\\t\\t创建时间unix time ms\\n\\t\\ttags\\tarray\\tNo\\t\\t文件夹标签\\n\\t\\tcustom_fields\\tobject\\tNo\\t\\t\\n\\t\\tchecklists\\tobject\\tNo\\t\\t\\n\\t\\t\\tchecklists\\tarray\\tNo\\t\\t\\n\\n```\"}]": {
+        "code": "import string\nimport random\n\ndef random_string(length=10):\n    return ''.join(random.choice(string.ascii_lowercase) for i in range(length))"
     }
 }
\ No newline at end of file