diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json new file mode 100644 index 00000000..1f92b0f9 --- /dev/null +++ b/.devcontainer/devcontainer.json @@ -0,0 +1,22 @@ +// For format details, see https://aka.ms/devcontainer.json. For config options, see the +// README at: https://github.com/devcontainers/templates/tree/main/src/python +{ + "name": "Python 3", + // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile + "image": "mcr.microsoft.com/devcontainers/python:1-3.11-bullseye" + + // Features to add to the dev container. More info: https://containers.dev/features. + // "features": {}, + + // Use 'forwardPorts' to make a list of ports inside the container available locally. + // "forwardPorts": [], + + // Use 'postCreateCommand' to run commands after the container is created. + // "postCreateCommand": "pip3 install --user -r requirements.txt", + + // Configure tool-specific properties. + // "customizations": {}, + + // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. + // "remoteUser": "root" +} diff --git a/.pylintrc b/.pylintrc index a71657a0..285a676e 100644 --- a/.pylintrc +++ b/.pylintrc @@ -360,7 +360,7 @@ indent-after-paren=4 indent-string=' ' # Maximum number of characters on a single line. -max-line-length=140 +max-line-length=180 # Maximum number of lines in a module. max-module-lines=1000 diff --git a/Pipfile b/Pipfile new file mode 100644 index 00000000..2bd67e90 --- /dev/null +++ b/Pipfile @@ -0,0 +1,13 @@ +[[source]] +url = "https://pypi.org/simple" +verify_ssl = true +name = "pypi" + +[packages] +opensearch-benchmark = {file = ".", editable = true} + +[dev-packages] + +[requires] +python_version = "3.11" +python_full_version = "3.11.11" diff --git a/Pipfile.lock b/Pipfile.lock new file mode 100644 index 00000000..bb3bb78c --- /dev/null +++ b/Pipfile.lock @@ -0,0 +1,1392 @@ +{ + "_meta": { + "hash": { + "sha256": "e1a1134afb3a24381a238ccf58622d1e6dde3ffe2614fe28fb158a2114c071d9" + }, 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args): + def __init__(self, cfg, test_executions_dict, args) -> None: self.config = cfg self.args = args self.test_executions = test_executions_dict @@ -21,69 +21,72 @@ def __init__(self, cfg, test_executions_dict, args): self.test_procedure_name = None self.loaded_workload = None - def count_iterations_for_each_op(self, test_execution) -> None: - matching_test_procedure = next((tp for tp in self.loaded_workload.test_procedures if tp.name == self.test_procedure_name), None) + def count_iterations_for_each_op(self, test_execution: TestExecution) -> None: + """Count iterations for each operation in the test execution""" workload_params = test_execution.workload_params if test_execution.workload_params else {} - test_execution_id = test_execution.test_execution_id self.accumulated_iterations[test_execution_id] = {} - if matching_test_procedure: - for task in matching_test_procedure.schedule: - task_name = task.name - task_name_iterations = f"{task_name}_iterations" - if task_name_iterations in workload_params: - iterations = int(workload_params[task_name_iterations]) - else: - iterations = task.iterations or 1 - self.accumulated_iterations[test_execution_id][task_name] = iterations - else: - raise ValueError(f"Test procedure '{self.test_procedure_name}' not found in the loaded workload.") + for task in self.loaded_workload.find_test_procedure_or_default(self.test_procedure_name).schedule: + task_name = task.name + task_name_iterations = f"{task_name}_iterations" + iterations = int(workload_params.get(task_name_iterations, task.iterations or 1)) + self.accumulated_iterations[test_execution_id][task_name] = iterations - def accumulate_results(self, test_execution: Any) -> None: - for item in test_execution.results.get("op_metrics", []): - task = item.get("task", "") + def accumulate_results(self, test_execution: TestExecution) -> None: + """Accumulate results from a single test execution""" + for operation_metric in test_execution.results.get("op_metrics", []): + task = operation_metric.get("task", "") self.accumulated_results.setdefault(task, {}) for metric in self.metrics: self.accumulated_results[task].setdefault(metric, []) - self.accumulated_results[task][metric].append(item.get(metric)) + self.accumulated_results[task][metric].append(operation_metric.get(metric)) def aggregate_json_by_key(self, key_path: Union[str, List[str]]) -> Any: - all_jsons = [self.test_store.find_by_test_execution_id(id).results for id in self.test_executions.keys()] - - # retrieve nested value from a dictionary given a key path - def get_nested_value(obj: Dict[str, Any], path: List[str]) -> Any: + """ + Aggregates JSON results across multiple test executions using a specified key path. + Handles nested dictionary structures and calculates averages for numeric values + """ + all_json_results = [self.test_store.find_by_test_execution_id(id).results for id in self.test_executions.keys()] + + def get_nested_value(json_data: Dict[str, Any], path: List[str]) -> Any: + """ + Retrieves a value from a nested dictionary structure using a path of keys. + """ for key in path: - if isinstance(obj, dict): - obj = obj.get(key, {}) - elif isinstance(obj, list) and key.isdigit(): - obj = obj[int(key)] if int(key) < len(obj) else {} + if isinstance(json_data, dict): + json_data = json_data.get(key, {}) + elif isinstance(json_data, list) and key.isdigit(): + json_data = json_data[int(key)] if int(key) < len(json_data) else {} else: return None - return obj + return json_data - def aggregate_helper(objects: List[Any]) -> Any: - if not objects: + def aggregate_json_elements(json_elements: List[Any]) -> Any: + if not json_elements: return None - if all(isinstance(obj, (int, float)) for obj in objects): - avg = sum(objects) / len(objects) - return avg - if all(isinstance(obj, dict) for obj in objects): - keys = set().union(*objects) - return {key: aggregate_helper([obj.get(key) for obj in objects]) for key in keys} - if all(isinstance(obj, list) for obj in objects): - max_length = max(len(obj) for obj in objects) - return [aggregate_helper([obj[i] if i < len(obj) else None for obj in objects]) for i in range(max_length)] - return next((obj for obj in objects if obj is not None), None) + # If all elements are numbers, calculate the average + if all(isinstance(obj, (int, float)) for obj in json_elements): + return sum(json_elements) / len(json_elements) + # If all elements are dictionaries, recursively aggregate their values + if all(isinstance(obj, dict) for obj in json_elements): + keys = set().union(*json_elements) + return {key: aggregate_json_elements([obj.get(key) for obj in json_elements]) for key in keys} + # If all elements are lists, recursively aggregate corresponding elements + if all(isinstance(obj, list) for obj in json_elements): + max_length = max(len(obj) for obj in json_elements) + return [aggregate_json_elements([obj[i] if i < len(obj) else None for obj in json_elements]) for i in range(max_length)] + # If elements are of mixed types, return the first non-None value + return next((obj for obj in json_elements if obj is not None), None) if isinstance(key_path, str): key_path = key_path.split('.') - values = [get_nested_value(json, key_path) for json in all_jsons] - return aggregate_helper(values) + nested_values = [get_nested_value(json_result, key_path) for json_result in all_json_results] + return aggregate_json_elements(nested_values) - def build_aggregated_results(self): - test_exe = self.test_store.find_by_test_execution_id(list(self.test_executions.keys())[0]) + def build_aggregated_results_dict(self) -> Dict[str, Any]: + """Builds a dictionary of aggregated metrics from all test executions""" aggregated_results = { "op_metrics": [], "correctness_metrics": self.aggregate_json_by_key("correctness_metrics"), @@ -147,8 +150,30 @@ def build_aggregated_results(self): aggregated_results["op_metrics"].append(op_metric) - # extract the necessary data from the first test execution, since the configurations should be identical for all test executions + return aggregated_results + + def update_config_object(self, test_execution: TestExecution) -> None: + """ + Updates the configuration object with values from a test execution. + Uses the first test execution as reference since configurations should be identical + """ current_timestamp = self.config.opts("system", "time.start") + self.config.add(config.Scope.applicationOverride, "builder", + "provision_config_instance.names", test_execution.provision_config_instance) + self.config.add(config.Scope.applicationOverride, "system", + "env.name", test_execution.environment_name) + self.config.add(config.Scope.applicationOverride, "system", "time.start", current_timestamp) + self.config.add(config.Scope.applicationOverride, "test_execution", "pipeline", test_execution.pipeline) + self.config.add(config.Scope.applicationOverride, "workload", "params", test_execution.workload_params) + self.config.add(config.Scope.applicationOverride, "builder", + "provision_config_instance.params", test_execution.provision_config_instance_params) + self.config.add(config.Scope.applicationOverride, "builder", "plugin.params", test_execution.plugin_params) + self.config.add(config.Scope.applicationOverride, "workload", "latency.percentiles", test_execution.latency_percentiles) + self.config.add(config.Scope.applicationOverride, "workload", "throughput.percentiles", test_execution.throughput_percentiles) + + def build_aggregated_results(self) -> TestExecution: + test_exe = self.test_store.find_by_test_execution_id(list(self.test_executions.keys())[0]) + aggregated_results = self.build_aggregated_results_dict() if hasattr(self.args, 'results_file') and self.args.results_file != "": normalized_results_file = rio.normalize_path(self.args.results_file, self.cwd) @@ -165,19 +190,7 @@ def build_aggregated_results(self): print("Aggregate test execution ID: ", test_execution_id) - # add values to the configuration object - self.config.add(config.Scope.applicationOverride, "builder", - "provision_config_instance.names", test_exe.provision_config_instance) - self.config.add(config.Scope.applicationOverride, "system", - "env.name", test_exe.environment_name) - self.config.add(config.Scope.applicationOverride, "system", "time.start", current_timestamp) - self.config.add(config.Scope.applicationOverride, "test_execution", "pipeline", test_exe.pipeline) - self.config.add(config.Scope.applicationOverride, "workload", "params", test_exe.workload_params) - self.config.add(config.Scope.applicationOverride, "builder", - "provision_config_instance.params", test_exe.provision_config_instance_params) - self.config.add(config.Scope.applicationOverride, "builder", "plugin.params", test_exe.plugin_params) - self.config.add(config.Scope.applicationOverride, "workload", "latency.percentiles", test_exe.latency_percentiles) - self.config.add(config.Scope.applicationOverride, "workload", "throughput.percentiles", test_exe.throughput_percentiles) + self.update_config_object(test_exe) loaded_workload = workload.load_workload(self.config) test_procedure_object = loaded_workload.find_test_procedure_or_default(self.test_procedure_name) @@ -223,7 +236,7 @@ def calculate_weighted_average(self, task_metrics: Dict[str, List[Any]], task_na return weighted_metrics - def calculate_rsd(self, values: List[Union[int, float]], metric_name: str): + def calculate_rsd(self, values: List[Union[int, float]], metric_name: str) -> Union[float, str]: if not values: raise ValueError(f"Cannot calculate RSD for metric '{metric_name}': empty list of values") if len(values) == 1: diff --git a/tests/aggregator_test.py b/tests/aggregator_test.py index 32be06cb..d963de60 100644 --- a/tests/aggregator_test.py +++ b/tests/aggregator_test.py @@ -50,6 +50,7 @@ def test_count_iterations_for_each_op(aggregator): mock_test_procedure.schedule = mock_schedule mock_workload.test_procedures = [mock_test_procedure] + mock_workload.find_test_procedure_or_default = Mock(return_value=mock_test_procedure) mock_test_execution = Mock(test_execution_id="test1", workload_params={}) aggregator.loaded_workload = mock_workload